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"apellidos" => "Barderas" ] 6 => array:2 [ "nombre" => "Luis Miguel" "apellidos" => "Ruilope" ] 7 => array:2 [ "nombre" => "Gema" "apellidos" => "Ruiz-Hurtado" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S2013251419300616" "doi" => "10.1016/j.nefroe.2019.03.006" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251419300616?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518301577?idApp=UINPBA000064" "url" => "/02116995/0000003900000002/v2_201907130624/S0211699518301577/v2_201907130624/es/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S2013251419300549" "issn" => "20132514" "doi" => "10.1016/j.nefroe.2019.03.005" "estado" => "S300" "fechaPublicacion" => "2019-03-01" "aid" => "533" "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Nefrologia (English Version). 2019;39:192-7" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 828 "formatos" => array:3 [ "EPUB" => 111 "HTML" => 472 "PDF" => 245 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "The contribution of outpatient nephrology to the control of demand: Analysis of the comprehensive Health Area of Barcelona Esquerra (AISBE)" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "192" "paginaFinal" => "197" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La contribución de la nefrología extrahospitalaria al control de la demanda: análisis del Área Integral de Salud Barcelona Esquerra (AISBE)" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1545 "Ancho" => 2918 "Tamanyo" => 344176 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Primary care service of the Barcelona Esquerra Integral Health Area (IHA-BE) (left). Out-of-hospital Nephrology Programme (ONP) in the IHA-BE (right).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Pilar Arrizabalaga, Mónica Gómez, Ignacio Menacho, Lidia Pallisa, Vanesa Jorge, Esteban Poch" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Pilar" "apellidos" => "Arrizabalaga" ] 1 => array:2 [ "nombre" => "Mónica" "apellidos" => "Gómez" ] 2 => array:2 [ "nombre" => "Ignacio" "apellidos" => "Menacho" ] 3 => array:2 [ "nombre" => "Lidia" "apellidos" => "Pallisa" ] 4 => array:2 [ "nombre" => "Vanesa" "apellidos" => "Jorge" ] 5 => array:2 [ "nombre" => "Esteban" "apellidos" => "Poch" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0211699518301437" "doi" => "10.1016/j.nefro.2018.07.011" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518301437?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251419300549?idApp=UINPBA000064" "url" => "/20132514/0000003900000002/v1_201904270637/S2013251419300549/v1_201904270637/en/main.assets" ] "itemAnterior" => array:20 [ "pii" => "S2013251419300458" "issn" => "20132514" "doi" => "10.1016/j.nefroe.2019.03.001" "estado" => "S300" "fechaPublicacion" => "2019-03-01" "aid" => "513" "copyright" => "Sociedad Española de Nefrología" "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Nefrologia (English Version). 2019;39:177-83" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 776 "formatos" => array:3 [ "EPUB" => 95 "HTML" => 414 "PDF" => 267 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Podocyturia in pediatric patients with Fabry disease" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "177" "paginaFinal" => "183" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Podocituria en pacientes pediátricos con enfermedad de Fabry" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1759 "Ancho" => 2145 "Tamanyo" => 239259 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Levels of podocyturia and albuminuria in urine of children with Fabry disease (black arrow) and in normal children. There is a subgroup of 4 patients with Fabry disease who have low levels of albuminuria and podocyturia.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Miguel Liern, Anabella Collazo, Maylin Valencia, Alejandro Fainboin, Lorena Isse, Cristian Costales-Collaguazo, Federico Ochoa, Graciela Vallejo, Elsa Zotta" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Miguel" "apellidos" => "Liern" ] 1 => array:2 [ "nombre" => "Anabella" "apellidos" => "Collazo" ] 2 => array:2 [ "nombre" => "Maylin" "apellidos" => "Valencia" ] 3 => array:2 [ "nombre" => "Alejandro" "apellidos" => "Fainboin" ] 4 => array:2 [ "nombre" => "Lorena" "apellidos" => "Isse" ] 5 => array:2 [ "nombre" => "Cristian" "apellidos" => "Costales-Collaguazo" ] 6 => array:2 [ "nombre" => "Federico" "apellidos" => "Ochoa" ] 7 => array:2 [ "nombre" => "Graciela" "apellidos" => "Vallejo" ] 8 => array:2 [ "nombre" => "Elsa" "apellidos" => "Zotta" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0211699518301103" "doi" => "10.1016/j.nefro.2018.05.009" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518301103?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251419300458?idApp=UINPBA000064" "url" => "/20132514/0000003900000002/v1_201904270637/S2013251419300458/v1_201904270637/en/main.assets" ] "en" => array:20 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Short Original</span>" "titulo" => "Association between renal dysfunction and metalloproteinase (MMP)-9 activity in hypertensive patients" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "184" "paginaFinal" => "191" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Elena Rodríguez-Sánchez, José Alberto Navarro-García, Jennifer Aceves-Ripoll, Gloria Álvarez-Llamas, Julián Segura, María G. Barderas, Luis Miguel Ruilope, Gema Ruiz-Hurtado" "autores" => array:8 [ 0 => array:3 [ "nombre" => "Elena" "apellidos" => "Rodríguez-Sánchez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 1 => array:3 [ "nombre" => "José Alberto" "apellidos" => "Navarro-García" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "Jennifer" "apellidos" => "Aceves-Ripoll" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "Gloria" "apellidos" => "Álvarez-Llamas" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 4 => array:3 [ "nombre" => "Julián" "apellidos" => "Segura" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 5 => array:3 [ "nombre" => "María G." "apellidos" => "Barderas" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 6 => array:3 [ "nombre" => "Luis Miguel" "apellidos" => "Ruilope" "referencia" => array:4 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] 3 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">f</span>" "identificador" => "aff0030" ] ] ] 7 => array:4 [ "nombre" => "Gema" "apellidos" => "Ruiz-Hurtado" "email" => array:1 [ 0 => "gemaruiz@h12o.es" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] ] "afiliaciones" => array:6 [ 0 => array:3 [ "entidad" => "Laboratorio Traslacional Cardiorrenal, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Departamento de Inmunología, IIS-Fundación Jiménez Díaz, Madrid, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Unidad de Hipertensión, Servicio de Nefrología, Hospital Universitario 12 de Octubre, Madrid, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Departamento de Fisiopatología Vascular, Hospital Nacional de Parapléjicos (HNP), SESCAM, Toledo, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Departamento de Medicina Preventiva y Salud Pública, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Escuela de Estudios de Doctorado e Investigación, Universidad Europea de Madrid, Madrid, Spain" "etiqueta" => "f" "identificador" => "aff0030" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Asociación entre disminución de la función renal y actividad metaloproteinasa-9 en el paciente hipertenso" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2128 "Ancho" => 2844 "Tamanyo" => 139268 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Plasma concentrations of total MMP-9 (A), TIMP-1 (B) and the ratio MMP-9/TIMP-1 as an indirect indicator of MMP-9 activity (C) in hypertensive patients with eGFR>90, 90–60 and 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. *<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> patients with eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">In recent years, it has been shown that in patients with hypertension persist a high residual cardiovascular (CV) and renal risk.<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">1,2</span></a> Studies performed by different research groups<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">3–6</span></a> have shown that the classic renal marker of target organ damage, albuminuria, can occur in patients with essential hypertension even with a prolonged antihypertensive treatment with blockade of the renin angiotensin system. For example, a decrease in estimated glomerular filtration rate (eGFR) and the presence of albuminuria was recently shown to be significantly associated with a substantial increase in nocturnal systolic blood pressure (BP) (probably one of the phenotypes associated with higher CV risk), especially in moderate/severe stages (stages 3–5) of chronic kidney disease (CKD).<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">6</span></a> All these data indicate that, despite adequate pharmacological treatment and the introduction of treatment when necessary to maintain adequate BP values, renal risk persists in patients with hypertension.</p><p id="par0010" class="elsevierStylePara elsevierViewall">The histological alterations in CKD associated with hypertension are mainly glomerulosclerosis, interstitial fibrosis and arteriosclerosis,<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">2</span></a> all easily detectable in advanced stages of CKD. However, with specific biomarkers detected systemically, we would be able to detect maladaptive remodelling processes and fibrosis associated with progressive abnormalities of the cardio-renal axis in earlier stages of kidney disease. The matrix metalloproteinase (MMP) enzymes and their tissue inhibitors (TIMP) have a very relevant role as they are directly involved in the remodelling of the extracellular matrix (ECM), a crucial mechanism for the development and progression of CKD. MMP and TIMP also function as biomarkers and changes in their levels or concentrations and/or their systemic activity are associated with inflammatory processes and deleterious remodelling in the cardio-renal axis.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">7–12</span></a> Specifically, changes in the activity of the inducible MMP-9 isoform lead to structural alterations in the renal tubule and glomerulus, particularly in advanced stages of CKD when patients develop severe renal fibrosis.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">13</span></a> Far less is known about the involvement of this inducible metalloproteinase MMP-9 in earlier stages of CKD, however, especially in the context of hypertension. Our aim, therefore, was to make a comparative study of the total circulating levels of MMP-9 and its tissue inhibitor TIMP-1 and the degree of interaction between the two proteins and the amount of active MMP-9 in patients with hypertension and mild/moderate decrease in renal function.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study population</span><p id="par0015" class="elsevierStylePara elsevierViewall">In this study, we included 37 patients aged older than 18 with essential primary hypertension from the Hypertension Unit of the Hospital Universitario 12 de Octubre Nephrology Department in Madrid. Patients were considered to have essential hypertension if they had systolic/diastolic BP<span class="elsevierStyleHsp" style=""></span>≥<span class="elsevierStyleHsp" style=""></span>140/90<span class="elsevierStyleHsp" style=""></span>mmHg measured in the clinic following the procedure of the European guidelines for the management of arterial hypertension.<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">14,15</span></a> Patients with diabetes or primary hyperaldosteronism were excluded from the study. The eGFR was calculated using the CKD-EPI formula,<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">16</span></a> and patients were divided into three groups as follows: (1) >90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>; (2) from 90 to 60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>; and (3) from 60 to 30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">2,15</span></a> BP was measured in the clinic using (Omron semi-automatic sphygmomanometer) and by ambulatory BP monitoring (Spacelabs Healthcare monitor ABPM 90207/17). All patients signed an informed consent form before inclusion in the study. The study was approved by the Hospital Universitario 12 de Octubre Ethics Committee and performed in accordance with the principles of the Declaration of Helsinki.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Assay of total matrix metalloproteinase-9 enzyme concentration, its tissue inhibitor-1 and active matrix metalloproteinase-9 enzyme by enzyme-linked immunosorbent assay</span><p id="par0020" class="elsevierStylePara elsevierViewall">The plasma concentration of total MMP-9 and TIMP-1 was determined using commercial kits of enzyme-linked immunosorbent assay (ELISA) following the manufacturer's specifications (Quantikine<span class="elsevierStyleSup">®</span>, R&D Systems). According to the manufacturer's specifications, the ELISA for total human MMP-9 (DMP900) has a sensitivity of 0.156<span class="elsevierStyleHsp" style=""></span>ng/ml with an intra-assay coefficient of variation of 2.3% and an inter-assay coefficient of variation of 7.5%. Similarly, the ELISA for total human TIMP-1 (DTM100) has a sensitivity of 0.08<span class="elsevierStyleHsp" style=""></span>ng/ml and a coefficient of variation of 4.4% and 4.2% intra- and inter-assay, respectively. The estimation of the interaction between MMP-9 and TIMP-1 was determined indirectly by calculating the MMP-9/TIMP-1 ratio. The quantity of active MMP-9 in the patients’ plasma samples was determined using a specific commercial kit, with a sensitivity of 0.005<span class="elsevierStyleHsp" style=""></span>ng/ml following the manufacturer's (QuickZyme Biosciences) specifications.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Specific analysis of the interaction total matrix metalloproteinase-9 enzyme/tissue inhibitor-1 interaction by immunoassay using AlphaLISA technology</span><p id="par0025" class="elsevierStylePara elsevierViewall">An immunoassay using AlphaLISA (PerkinElmer) technology was used for this purpose; it was designed and developed by our research group to specifically measure the protein interaction between MMP-9 and TIMP-1 in plasma samples (for more detail see the recently published protocol).<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">17</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0030" class="elsevierStylePara elsevierViewall">Continuous variables were compared using Student's <span class="elsevierStyleItalic">t</span>-test or the unidirectional ANOVA with the Newman–Keuls test, and non-parametric variables were compared with the Kruskal–Wallis test. Categorical variables were compared using Fisher's exact test. Correlations were calculated with the Pearson coefficient of correlation. Data analysis was performed using GraphPad Prism 6 software. The data are presented as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard error of the mean, and statistical significance was considered for <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Demographic and biochemical parameters</span><p id="par0035" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows the demographic, clinical and biochemical characteristics of the patients with essential hypertension included in this study, divided according to the stage of CKD through eGFR into: (1) eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>ml/1.73<span class="elsevierStyleHsp" style=""></span>min/m<span class="elsevierStyleSup">2</span>; (2) eGFR 90–60<span class="elsevierStyleHsp" style=""></span>ml/1.73<span class="elsevierStyleHsp" style=""></span>min/m<span class="elsevierStyleSup">2</span>; and (3) eGFR 60–30<span class="elsevierStyleHsp" style=""></span>ml/1.73<span class="elsevierStyleHsp" style=""></span>min/m<span class="elsevierStyleSup">2</span>. There were no significant differences between one group of patients and another in BMI, total cholesterol, HDL, LDL or triglyceride levels. <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> also shows the BP data measured both in the clinic and by 24<span class="elsevierStyleHsp" style=""></span>h ambulatory BP monitoring; there were no differences between the three groups of study patients in these variables. There were no significant differences in the frequency or the type of antihypertensive (ACE inhibitor or ARB) or lipid-lowering (statins) medication. The significant differences found were in age (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), serum creatinine levels (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) and albumin/creatinine ratio (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Profile of maladaptive remodelling markers related to the activity of the metalloproteinase proinflammatory enzyme matrix metalloproteinase-9</span><p id="par0040" class="elsevierStylePara elsevierViewall">The circulating concentration of total MMP-9 did not vary as CKD progressed in the study patients with hypertension (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>A). In contrast, the total circulating concentration of its tissue inhibitor TIMP-1 was significantly higher in patients with hypertension who had an eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> compared to those who had an eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 [<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>B]). There was no difference among the three groups of patients with hypertension in the ratio between the total levels of MMP-9 and TIMP-1 detected (MMP-9/TIMP-1), widely used in preclinical research as an indirect estimator of MMP-9 activity (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>C). Moreover, supporting these results, we found a significant decrease in the actual protein interaction between MMP-9 and TIMP-1 systemically, measured by AlphaLISA technology, in patients with hypertension and eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> compared to those with an eGFR<span class="elsevierStyleHsp" style=""></span>>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 [<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>A]). When the circulating levels of the active MMP-9 isoform were estimated specifically, they were found to be significantly higher in the patients with hypertension and eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>B), than in those with an eGFR in the range of 90–60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01) or those with an eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Association between renal function and matrix metalloproteinase-9 enzyme activation</span><p id="par0045" class="elsevierStylePara elsevierViewall">No correlation was found between the total circulating levels of MMP-9 and the decrease in renal function measured by eGFR (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.198, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.313 panel [<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>A]). In fact, there was a significant negative correlation between eGFR and the total concentration of TIMP-1 (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.722, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.001 [<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>B]). A significant positive correlation was found between eGFR and the protein-protein interaction between MMP-9 and TIMP-1 (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.499, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002 [<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>C]), such that, as eGFR decreased, there was less interaction between MMP-9 and its inhibitor TIMP-1. In fact, there was a significant negative correlation between the concentration of the active isoform MMP-9 and eGFR (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.531, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.001 [<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>D]). Therefore, as renal function decreased, the quantity of TIMP-1 rose and, although it is a physiological inhibitor of MMP-9, the two did not interact, resulting in an increase in the activity of proinflammatory MMP-9. After adjusting all these remodelling parameters for the gender and/or age of the patients, only the total TIMP-1 or active MMP-9 parameters maintained these significant correlations (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Discussion</span><p id="par0050" class="elsevierStylePara elsevierViewall">In this study we have analysed the relationship between a mild/moderate decrease in renal function and the circulating levels of MMP-9 and its inhibitor TIMP-1 in pharmacologically controlled patients with essential hypertension. The results we obtained show that MMP-9 activity (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>B), but not its total systemic concentration (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>A), increases as renal function decreases (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>C and <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>), with that activity being significantly greater in patients with hypertension and eGFR in the range 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, than in earlier stages with eGFR 90–60 or >90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>B). Surprisingly, the increased activity of MMP-9 is accompanied by a systemic increase in the concentration of its inhibitor TIMP-1 as renal function decreases (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>B), with the total concentration of TIMP-1 being significantly higher in patients with hypertension and eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, than in those with eGFR<span class="elsevierStyleHsp" style=""></span>>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>B). Despite having a higher total circulating concentration of TIMP-1 as renal function decreased, we found a reduction in the protein-protein interaction between MMP-9 and TIMP-1 (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>B), with significantly less interaction in patients with hypertension and eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, than in those with eGFR<span class="elsevierStyleHsp" style=""></span>>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>A). These data indicate that although patients with eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> have more circulating TIMP-1, it is not exerting its inhibitory capacity on MMP-9, as they are not interacting, meaning that MMP-9 is in fact more free of its inhibitor TIMP-1, and also therefore more active, as the CKD progresses.</p><p id="par0055" class="elsevierStylePara elsevierViewall">MMP enzymes are an extensive family of endopeptidases capable of controlling the synthesis and degradation of the components forming the ECM, thus regulating the process of remodelling and fibrosis of different target organs, both in CV and renal disease.<a class="elsevierStyleCrossRefs" href="#bib0215"><span class="elsevierStyleSup">18–20</span></a> The MMP-9 isoform in particular is a gelatinase enzyme activated primarily in response to inflammatory processes, resulting in the degradation of different components of the ECM which are its substrates, essentially type IV collagen and elastin.<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">21</span></a> Changes in the components of the ECM play a role in the progression of CKD. Advanced stages of CKD are characterised by a severe loss of renal function, often accompanied by structural alterations such as the presence of renal interstitial fibrosis and glomerulosclerosis,<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">22</span></a> both easily detectable with histological and imaging tests. Associated with this structural damage is a differential pattern of expression and/or activity of biomarkers involved in remodelling, such as MMP-9. At a glomerular level, the infiltration of inflammatory cells, the release of pro-inflammatory cytokines such as tumour necrosis factor alpha (TNF-α) and profibrotic cytokines such as transforming growth factor-beta (TGF-β), as well as the release of reactive oxygen species, increase MMP-9 synthesis and activity, initially as a compensatory mechanism to degrade excess collagen synthesis and so prevent the development of renal fibrosis.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">13</span></a> However, as the CKD progresses, MMP-9 activity begins to wane. This further aggravates the accumulation of components in the ECM, and also as a consequence the renal fibrosis, which by then is already unlikely to be reversible. However, what about the involvement of MMP-9 in earlier stages of CKD before the renal dysfunction is severe? At what stage of the development of CKD does MMP-9 start to play a role? Could MMP-9 serve as an early biomarker of remodelling before renal fibrosis is detected? We found in this study that MMP-9 was significantly more active in patients with controlled hypertension who had eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, compared to the earlier stages (90–60 and >90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>). It is quite striking that we found no differences in the total circulating expression of MMP-9 but we did find differences in TIMP-1, which would suggest that if we estimated MMP-9 activity indirectly using the MMP-9/TIMP-1 ratio, it would be no different, and MMP-9 would not therefore be active in patients with an eGFR in the range of 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. Surprisingly, by adequately measuring MMP-9 activity and the actual interaction between MMP-9 and TIMP-1 with a new assay developed by our research group<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">8,17</span></a>which uses AlphaLISA<span class="elsevierStyleSup">®</span> technology, we found that hypertensive patients with eGFR between 60 and 30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> have significantly more active MMP-9. These results suggest that the role of MMP-9 is probably underestimated in many pathological situations, as in the vast majority of preclinical research studies, only its total systemic concentration is determined and MMP-9 activity is not taken into account.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">17</span></a> More MMP-9 activity in relatively early stages of CKD could have significant physiological repercussions beyond being a compensatory mechanism to avoid the accumulation of collagen deposits and, subsequently, fibrosis. A significant increase in circulating and renal MMP-9 activity has been found in patients who develop albuminuria and in experimental models of spontaneous development of albuminuria in Munich Wistar Frömter rats, related to the strong component of oxidative stress associated with albuminuria.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">23</span></a> At the endogenous level, MMP-9 is under the control of its tissue inhibitor TIMP-1, which can be an oxidative target in situations of systemic increase in oxidative stress.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">24</span></a> Recent studies have shown that the development of albuminuria resistant to the chronic inhibition of the renin angiotensin system is accompanied by a systemic increase in oxidised TIMP-1 (oxyTIMP-1), which is unable to bind with its MMP-9 target, leaving the MMP-9 free and allowing it to remain activated.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">8</span></a> Both conditions, increased oxidative stress and activation of MMP-9, could have a direct impact on the glomerular filtration barrier that can lead to the development of albuminuria in early stages of CKD. This is because the reactive oxygen species are capable of degrading the glycocalyx that covers the fenestrated glomerular endothelium of the capillaries of the glomerulus, resulting in the endothelium losing its strong negative charge, and thus preventing the repulsion of charges with the albumin.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">25</span></a> At the same time, the oxidative stress component stimulates the activation of MMP-9 which, in the kidneys, will act mainly on the glomerular basement membrane (GBM), where its substrate is predominantly type <span class="elsevierStyleSmallCaps">iv</span> collagen. This means that because the barrier is then structurally damaged, both in its endothelial part and in the GBM, the albumin can be filtered more easily from the bloodstream into the urine.</p><p id="par0060" class="elsevierStylePara elsevierViewall">This study has the following limitations: (1) it was a purely descriptive study; and (2) the small number of patients included. For these reasons, it is absolutely essential to have prospective studies with a significantly larger number of patients to corroborate these findings and establish the causality of increased MMP-9 activity in the development of kidney disease.</p><p id="par0065" class="elsevierStylePara elsevierViewall">In conclusion, in this study we demonstrated that there is a significant association between renal dysfunction and specific increase in MMP-9 activity, even in stages where the decline in renal function is still moderate. We have also shown that the role of MMP-9 must not be underestimated, especially in early stages of CKD. Beyond merely measuring circulating concentrations, MMP-9 needs to be properly analysed using biochemical and molecular techniques in order to identify what it actually does.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Funding</span><p id="par0070" class="elsevierStylePara elsevierViewall">GRH is a Miguel Servet type I researcher for the ISCIII (<span class="elsevierStyleItalic">Instituto de Salud Carlos III</span> [Carlos III Health Institute]) (CP15/00129). The research activities of GRH, GAL, MGB and LMR are funded by the <span class="elsevierStyleGrantSponsor" id="gs1">ISCIII</span> (<span class="elsevierStyleGrantNumber" refid="gs1">PI11/0243</span>, <span class="elsevierStyleGrantNumber" refid="gs1">PI13/01746</span>, <span class="elsevierStyleGrantNumber" refid="gs1">PI14/01841</span>, <span class="elsevierStyleGrantNumber" refid="gs1">PIE13/00045</span>, <span class="elsevierStyleGrantNumber" refid="gs1">PI17/01193</span>, <span class="elsevierStyleGrantNumber" refid="gs1">PI17/01093</span>). This study has been funded primarily by the <span class="elsevierStyleGrantSponsor" id="gs2">SENEFRO</span> (<span class="elsevierStyleItalic">Sociedad Red de Investigación Renal Española de Nefrología</span> [Spanish Society of Nephrology]) Foundation, and partially by the <span class="elsevierStyleGrantSponsor" id="gs3"><span class="elsevierStyleItalic">Sociedad Española de Cardiología</span></span> [Spanish Society of Cardiology] and the <span class="elsevierStyleGrantSponsor" id="gs4">Íñigo Álvarez de Toledo Foundation</span>. The authors Gloria Álvarez-Llamas and Julián Segura are researchers belonging to the ISCIII RETICS/REDINREN (<span class="elsevierStyleItalic">Redes Temáticas de Investigación Cooperativa en Salud/Red de Investigación Renal</span> [Thematic Networks of Cooperative Research in Health/Renal Research Network]).</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conflicts of interest</span><p id="par0075" class="elsevierStylePara elsevierViewall">The authors of this manuscript have no conflicts of interest to declare.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1184177" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1104545" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1184176" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1104546" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study population" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Assay of total matrix metalloproteinase-9 enzyme concentration, its tissue inhibitor-1 and active matrix metalloproteinase-9 enzyme by enzyme-linked immunosorbent assay" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Specific analysis of the interaction total matrix metalloproteinase-9 enzyme/tissue inhibitor-1 interaction by immunoassay using AlphaLISA technology" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0035" "titulo" => "Results" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Demographic and biochemical parameters" ] 1 => array:2 [ "identificador" => "sec0045" "titulo" => "Profile of maladaptive remodelling markers related to the activity of the metalloproteinase proinflammatory enzyme matrix metalloproteinase-9" ] 2 => array:2 [ "identificador" => "sec0050" "titulo" => "Association between renal function and matrix metalloproteinase-9 enzyme activation" ] ] ] 7 => array:2 [ "identificador" => "sec0055" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0060" "titulo" => "Funding" ] 9 => array:2 [ "identificador" => "sec0065" "titulo" => "Conflicts of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2018-03-21" "fechaAceptado" => "2018-08-30" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1104545" "palabras" => array:5 [ 0 => "Chronic kidney disease" 1 => "Metalloproteinases" 2 => "Matrix metalloproteinase-9" 3 => "Tissue inhibitor of metalloproteinase-1" 4 => "Hypertension" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1104546" "palabras" => array:5 [ 0 => "Enfermedad renal crónica" 1 => "Metaloproteinasas" 2 => "Metaloproteinasa de matriz-9" 3 => "Inhibidor tisular de metaloproteinasas de matriz-1" 4 => "Hipertensión" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Matrix metalloproteinases (MMPs) are involved in deleterious tissue remodelling associated with target organ damage in renal disease. The aim of this study was to study the association between renal dysfunction and activity of the inflammatory metalloproteinase MMP-9 in hypertensive patients with mild-moderate chronic kidney disease (CKD).</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Plasmatic active MMP-9, total MMP-9, tissue inhibitor of MMP-9 (TIMP-1), MMP-9/TIMP-1 ratio and MMP-9-TIMP-1 interaction were analysed in 37 hypertensive patients distributed by estimated glomerular filtration rate (eGFR) in 3 groups: >90, 90–60 and 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Total MMP-9 was not different as eGFR declines. TIMP-1 was significantly increased in hypertensive patients with eGFR 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> >90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>). This relates to the significant decrease in the interaction between MMP-9-TIMP-1 observed in patients with eGFR 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> >90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>). Despite the systemic elevation of TIMP-1, active MMP-9 was significantly increased in hypertensive patients with eGFR 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 and <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> >90 and 90–60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, respectively). TIMP-1, active MMP-9 and MMP-9-TIMP-1 interaction significantly correlate with the decline in renal function, which was not observed with total MMP-9.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The progression of CKD, even in stages where the decline of renal function is still moderate, is associated with an increase in MMP-9 activity, which could be considered as a potential therapeutic target.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Antecedentes y objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Las enzimas metaloproteinasas de matriz (MMP) están involucradas en el remodelado tisular deletéreo asociado al daño de órganos diana de la enfermedad renal. El objetivo de este estudio fue explorar la asociación entre la caída de la función renal y la actividad sistémica de la metaloproteinasa inflamatoria MMP-9 en el paciente hipertenso con enfermedad renal crónica (ERC) leve-moderada.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se analizaron los niveles plasmáticos de MMP-9 activa, MMP-9 total, su inhibidor tisular (TIMP-1), el cociente MMP-9/TIMP-1 y la interacción entre MMP-9 y TIMP-1 en 37 pacientes hipertensos distribuidos según su tasa de filtración glomerular estimada (TFGe) en 3 grupos:<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90, 90–60 y 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La MMP-9 total no fue diferente con respecto a la disminución en la TFGe. TIMP-1 estaba significativamente incrementado en los pacientes hipertensos con TFGe entre 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,01 <span class="elsevierStyleItalic">versus</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>mL/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>). Estos resultados fueron apoyados por la disminución significativa de la interacción MMP-9-TIMP-1 observada en los pacientes con TFGe entre 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,01 <span class="elsevierStyleItalic">versus</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>mL/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>). A pesar de la elevación sistémica de TIMP-1 encontramos un incremento significativo de MMP-9 activa en los pacientes hipertensos con TFGe entre 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,05 y p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,01 <span class="elsevierStyleItalic">versus</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90 y 90–60<span class="elsevierStyleHsp" style=""></span>mL/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>, respectivamente). Los niveles de TIMP-1, MMP-9 activa e interacción proteica MMP-9-TIMP-1 correlacionaron significativamente con el deterioro de la función renal, lo cual no se observó para la MMP-9 total.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La progresión de la ERC, incluso en estadios donde la caída de la función renal es aún moderada, se asocia con un aumento específico de la actividad MMP-9, lo cual podría considerarse como una potencial diana terapéutica.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0030">Please cite this article as: Rodríguez-Sánchez E, Navarro-García JA, Aceves-Ripoll J, Álvarez-Llamas G, Segura J, Barderas MG, et al. Asociación entre disminución de la función renal y actividad metaloproteinasa-9 en el paciente hipertenso. Nefrologia. 2019;39:184–191.</p>" ] ] "multimedia" => array:5 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2128 "Ancho" => 2844 "Tamanyo" => 139268 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Plasma concentrations of total MMP-9 (A), TIMP-1 (B) and the ratio MMP-9/TIMP-1 as an indirect indicator of MMP-9 activity (C) in hypertensive patients with eGFR>90, 90–60 and 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. *<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> patients with eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 2347 "Ancho" => 1706 "Tamanyo" => 112599 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Protein interaction between MMP-9 and its tissue inhibitor TIMP-1 analysed by AlphaLISA (A) and active MMP-9 (B) in the plasma samples of hypertensive patients with eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90, 90–60 and 60–30<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. *<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 <span class="elsevierStyleItalic">vs.</span> patients with eGFR<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. **<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> patients with eGFR<span class="elsevierStyleHsp" style=""></span>90-60 mL/min/17.3<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 2091 "Ancho" => 2578 "Tamanyo" => 219203 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Association between decreased renal function (estimated by eGFR) and plasma concentration of total MMP-9 (A), TIMP-1 (B), protein interaction between MMP-9 and its tissue inhibitor TIMP-1 (C) and active MMP-9 (D).</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">The patients have been divided according to their eGFR (mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>). ACE inhib.: angiotensin-converting enzyme inhibitors; ARB: angiotensin-receptor blockers; DBP: diastolic blood pressure; eGFR: estimated glomerular filtration rate; HDL: high-density lipoproteins; LDL: low-density lipoproteins; <span class="elsevierStyleItalic">n</span>: number of patients; SBP: systolic blood pressure.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">>90 (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>12) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">90–60 (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>17) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">60–30 (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>8) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-Value \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Male (%, n)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">42 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">59 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">88 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.123 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Age (years)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">59.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">62.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">74.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.9<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">BMI (kg</span>/<span class="elsevierStyleItalic">m</span><span class="elsevierStyleSup">2</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.676 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">eGFR (mL/min/1.73</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">97.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">78.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.7<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">***</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">45.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.1<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">****</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Serum creatinine (mg/dl)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.708<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.122 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.934<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.128<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">***</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.514<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.299<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup">,</span><a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">*****</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Albumin/creatinine (mg/g)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">31.4 (10–115) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12.8 (2–41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">392.1 (64–1641)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">**</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Clinic SBP (mmHg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">129.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">136.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">141.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.417 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Clinic DBP (mmHg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">81.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>8.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">85.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">85.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.614 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">24-h SBP (mmHg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">125.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">124.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">123.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.932 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">24-h DBP (mmHg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">79.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">75.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">73.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.463 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Cholesterol (mg/dl)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">180.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>22.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">190.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>33.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">169.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>25.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.222 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HDL (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">57.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">50.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">48.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.207 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LDL (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">101.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>23.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">115.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>28.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">96.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>19.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.267 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Triglycerides (mg/dl)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">105.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>47.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">130.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>62.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">117.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>39.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.491 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Statins (%, n)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">92 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">65 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">75 (6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.145 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">ACE inhib. (%, <span class="elsevierStyleItalic">n</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">25 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">18 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13 (1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.770 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">ARB (%, <span class="elsevierStyleItalic">n</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">58 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">76 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">75 (6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.909 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2018699.png" ] ] ] "notaPie" => array:5 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001 <span class="elsevierStyleItalic">vs.</span> patients with eGFR >90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "**" "nota" => "<p class="elsevierStyleNotepara" id="npar0010"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> patients with eGFR 90–60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "***" "nota" => "<p class="elsevierStyleNotepara" id="npar0015"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.01 <span class="elsevierStyleItalic">vs.</span> patients with eGFR >90<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] 3 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "****" "nota" => "<p class="elsevierStyleNotepara" id="npar0020"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 <span class="elsevierStyleItalic">vs.</span> patients with eGFR 90–60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] 4 => array:3 [ "identificador" => "tblfn0025" "etiqueta" => "*****" "nota" => "<p class="elsevierStyleNotepara" id="npar0025"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001 <span class="elsevierStyleItalic">vs.</span> patients with eGFR 90–60<span class="elsevierStyleHsp" style=""></span>mL/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Clinical and biochemical characteristics of the patients included in the study.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Model 1: adjusted for gender; model 2: adjusted for age; model 3: adjusted for gender and age.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Model 1 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Model 2 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Model 3 \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total MMP-9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.123; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.541 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.135; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.503 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.007; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.974 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total TIMP-1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.764; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.468; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.014 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.545; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">MMP-9/TIMP-1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.397; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.040 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.255; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.199 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.129; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.529 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">MMP-9-TIMP-1 interaction \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.476; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.218; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.202 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.143; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.411 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Active MMP-9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.514; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.471; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.441; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.012 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2018698.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Partial correlations between eGFR and study variables adjusted for gender and/or age.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:25 [ 0 => array:3 [ "identificador" => "bib0130" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Current challenges in the clinical management of hypertension" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "L.M. 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