Hsp72 is a novel biomarker to predict acute kidney injury in critically ill patients
Acute kidney injury (AKI) complicates the course of disease in critically ill patients. Efforts to change its clinical course have failed because of the fail in the early detection. This study was designed to assess whether heat shock protein (Hsp72) is an early and sensitive biomarker of acute kidn...
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| Veröffentlicht in: | PloS one 2014-10, Vol.9 (10), p.e109407 |
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| creator | Morales-Buenrostro, Luis E Salas-Nolasco, Omar I Barrera-Chimal, Jonatan Casas-Aparicio, Gustavo Irizar-Santana, Sergio Pérez-Villalva, Rosalba Bobadilla, Norma A |
| description | Acute kidney injury (AKI) complicates the course of disease in critically ill patients. Efforts to change its clinical course have failed because of the fail in the early detection. This study was designed to assess whether heat shock protein (Hsp72) is an early and sensitive biomarker of acute kidney injury (AKI) compared with kidney injury molecule (Kim-1), neutrophil gelatinase-associated lipocalin (NGAL), and interleukin-18 (IL-18) biomarkers.
A total of 56 critically ill patients fulfilled the inclusion criteria. From these patients, 17 developed AKI and 20 were selected as controls. In AKI patients, Kim-1, IL-18, NGAL, and Hsp72 were measured from 3 days before and until 2 days after the AKI diagnosis and in no-AKI patients at 1, 5 and 10 days after admission. Biomarker sensitivity and specificity were determined. To validate the results obtained with ROC curves for Hsp72, a new set of critically ill patients was included, 10 with AKI and 12 with no-AKI patients.
Urinary Hsp72 levels rose since 3 days before the AKI diagnosis in critically ill patients; this early increase was not seen with any other tested biomarkers. Kim-1, IL-18, NGAL, and Hsp72 significantly increased from 2 days before AKI and remained elevated during the AKI diagnosis. The best sensitivity/specificity was observed in Kim-1 and Hsp72: 83/95% and 100/90%, respectively, whereas 1 day before the AKI diagnosis, the values were 100/100% and 100/90%, respectively. The sensibility, specificity and accuracy in the validation test for Hsp72 were 100%, 83.3% and 90.9%, respectively.
The biomarker Hsp72 is enough sensitive and specific to predict AKI in critically ill patients up to 3 days before the diagnosis. |
| doi_str_mv | 10.1371/journal.pone.0109407 |
| format | Article |
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A total of 56 critically ill patients fulfilled the inclusion criteria. From these patients, 17 developed AKI and 20 were selected as controls. In AKI patients, Kim-1, IL-18, NGAL, and Hsp72 were measured from 3 days before and until 2 days after the AKI diagnosis and in no-AKI patients at 1, 5 and 10 days after admission. Biomarker sensitivity and specificity were determined. To validate the results obtained with ROC curves for Hsp72, a new set of critically ill patients was included, 10 with AKI and 12 with no-AKI patients.
Urinary Hsp72 levels rose since 3 days before the AKI diagnosis in critically ill patients; this early increase was not seen with any other tested biomarkers. Kim-1, IL-18, NGAL, and Hsp72 significantly increased from 2 days before AKI and remained elevated during the AKI diagnosis. The best sensitivity/specificity was observed in Kim-1 and Hsp72: 83/95% and 100/90%, respectively, whereas 1 day before the AKI diagnosis, the values were 100/100% and 100/90%, respectively. The sensibility, specificity and accuracy in the validation test for Hsp72 were 100%, 83.3% and 90.9%, respectively.
The biomarker Hsp72 is enough sensitive and specific to predict AKI in critically ill patients up to 3 days before the diagnosis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0109407</identifier><identifier>PMID: 25313566</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acute Kidney Injury - diagnosis ; Acute-Phase Proteins - metabolism ; Acute-Phase Proteins - urine ; Adult ; Aged ; Area Under Curve ; Biomarkers ; Biomarkers - metabolism ; Biomarkers - urine ; Critical Illness ; Cytokines ; Diagnosis ; Diagnostic tests ; Failure ; Female ; Gelatinase ; Heart surgery ; Heat shock proteins ; Hepatitis A Virus Cellular Receptor 1 ; Hospitalization ; HSP27 Heat-Shock Proteins - metabolism ; HSP27 Heat-Shock Proteins - urine ; Hsp72 protein ; Humans ; Injuries ; Intensive care ; Intensive Care Units ; Interleukin ; Interleukin 18 ; Interleukin-18 - metabolism ; Interleukin-18 - urine ; Kidney diseases ; Kidneys ; Lipocalin ; Lipocalin-2 ; Lipocalins - metabolism ; Lipocalins - urine ; Male ; Medical diagnosis ; Medicine and health sciences ; Membrane Glycoproteins - metabolism ; Membrane Glycoproteins - urine ; Middle Aged ; Nephrology ; Neutrophils ; Patients ; Proto-Oncogene Proteins - metabolism ; Proto-Oncogene Proteins - urine ; Receptors, Virus - metabolism ; Research and Analysis Methods ; ROC Curve ; Sensitivity ; Urine</subject><ispartof>PloS one, 2014-10, Vol.9 (10), p.e109407</ispartof><rights>2014 Morales-Buenrostro et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Morales-Buenrostro et al 2014 Morales-Buenrostro et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-828c118f55f2b15ade9350c5a195196e5771f23985dfd1e8d3d88646e2e2c08b3</citedby><cites>FETCH-LOGICAL-c526t-828c118f55f2b15ade9350c5a195196e5771f23985dfd1e8d3d88646e2e2c08b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196900/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196900/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23868,27926,27927,53793,53795</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25313566$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Seguro, Antonio C.</contributor><creatorcontrib>Morales-Buenrostro, Luis E</creatorcontrib><creatorcontrib>Salas-Nolasco, Omar I</creatorcontrib><creatorcontrib>Barrera-Chimal, Jonatan</creatorcontrib><creatorcontrib>Casas-Aparicio, Gustavo</creatorcontrib><creatorcontrib>Irizar-Santana, Sergio</creatorcontrib><creatorcontrib>Pérez-Villalva, Rosalba</creatorcontrib><creatorcontrib>Bobadilla, Norma A</creatorcontrib><title>Hsp72 is a novel biomarker to predict acute kidney injury in critically ill patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Acute kidney injury (AKI) complicates the course of disease in critically ill patients. Efforts to change its clinical course have failed because of the fail in the early detection. This study was designed to assess whether heat shock protein (Hsp72) is an early and sensitive biomarker of acute kidney injury (AKI) compared with kidney injury molecule (Kim-1), neutrophil gelatinase-associated lipocalin (NGAL), and interleukin-18 (IL-18) biomarkers.
A total of 56 critically ill patients fulfilled the inclusion criteria. From these patients, 17 developed AKI and 20 were selected as controls. In AKI patients, Kim-1, IL-18, NGAL, and Hsp72 were measured from 3 days before and until 2 days after the AKI diagnosis and in no-AKI patients at 1, 5 and 10 days after admission. Biomarker sensitivity and specificity were determined. To validate the results obtained with ROC curves for Hsp72, a new set of critically ill patients was included, 10 with AKI and 12 with no-AKI patients.
Urinary Hsp72 levels rose since 3 days before the AKI diagnosis in critically ill patients; this early increase was not seen with any other tested biomarkers. Kim-1, IL-18, NGAL, and Hsp72 significantly increased from 2 days before AKI and remained elevated during the AKI diagnosis. The best sensitivity/specificity was observed in Kim-1 and Hsp72: 83/95% and 100/90%, respectively, whereas 1 day before the AKI diagnosis, the values were 100/100% and 100/90%, respectively. The sensibility, specificity and accuracy in the validation test for Hsp72 were 100%, 83.3% and 90.9%, respectively.
The biomarker Hsp72 is enough sensitive and specific to predict AKI in critically ill patients up to 3 days before the diagnosis.</description><subject>Acute Kidney Injury - diagnosis</subject><subject>Acute-Phase Proteins - metabolism</subject><subject>Acute-Phase Proteins - urine</subject><subject>Adult</subject><subject>Aged</subject><subject>Area Under Curve</subject><subject>Biomarkers</subject><subject>Biomarkers - metabolism</subject><subject>Biomarkers - urine</subject><subject>Critical Illness</subject><subject>Cytokines</subject><subject>Diagnosis</subject><subject>Diagnostic tests</subject><subject>Failure</subject><subject>Female</subject><subject>Gelatinase</subject><subject>Heart surgery</subject><subject>Heat shock proteins</subject><subject>Hepatitis A Virus Cellular Receptor 1</subject><subject>Hospitalization</subject><subject>HSP27 Heat-Shock Proteins - metabolism</subject><subject>HSP27 Heat-Shock Proteins - urine</subject><subject>Hsp72 protein</subject><subject>Humans</subject><subject>Injuries</subject><subject>Intensive care</subject><subject>Intensive Care Units</subject><subject>Interleukin</subject><subject>Interleukin 18</subject><subject>Interleukin-18 - metabolism</subject><subject>Interleukin-18 - urine</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Lipocalin</subject><subject>Lipocalin-2</subject><subject>Lipocalins - metabolism</subject><subject>Lipocalins - urine</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medicine and health sciences</subject><subject>Membrane Glycoproteins - metabolism</subject><subject>Membrane Glycoproteins - urine</subject><subject>Middle Aged</subject><subject>Nephrology</subject><subject>Neutrophils</subject><subject>Patients</subject><subject>Proto-Oncogene Proteins - metabolism</subject><subject>Proto-Oncogene Proteins - urine</subject><subject>Receptors, Virus - metabolism</subject><subject>Research and Analysis Methods</subject><subject>ROC Curve</subject><subject>Sensitivity</subject><subject>Urine</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNp1UcFuFSEUnRiNrdU_MEri-j25MDCwMTGN2iZNuqlrwsCdyisdRphp0r-X55s27aKrC5dzzr2H0zQfgW6Bd_B1l5Y82rid0ohbClS3tHvVHIPmbCMZ5a-fnI-ad6XsKBVcSfm2OWKCAxdSHjdXZ2XqGAmFWDKmO4ykD-nW5hvMZE5kyuiDm4l1y4zkJvgR70kYd0veF-JymIOzMdZbjGSyc8BxLu-bN4ONBT-s9aT5_fPH1enZ5uLy1_np94uNE0zOG8WUA1CDEAPrQViPmgvqhAUtQEsUXQcD41oJP3hA5blXSrYSGTJHVc9Pms8H3SmmYtYPKQYkgNAdF7wizg8In-zOTDlUa_cm2WD-N1K-NjZXCxFNrxlS6YRqu7YFp3Xn0XKHbU8HThlWrW_rtKW_Re-q02zjM9HnL2P4Y67TnWmrGU1pFfiyCuT0d8Eyv7Bye0C5nErJODxOAGr2yT-wzD55syZfaZ-ebvdIeoia_wPM-qw3</recordid><startdate>20141014</startdate><enddate>20141014</enddate><creator>Morales-Buenrostro, Luis E</creator><creator>Salas-Nolasco, Omar I</creator><creator>Barrera-Chimal, Jonatan</creator><creator>Casas-Aparicio, Gustavo</creator><creator>Irizar-Santana, Sergio</creator><creator>Pérez-Villalva, Rosalba</creator><creator>Bobadilla, Norma A</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20141014</creationdate><title>Hsp72 is a novel biomarker to predict acute kidney injury in critically ill patients</title><author>Morales-Buenrostro, Luis E ; Salas-Nolasco, Omar I ; Barrera-Chimal, Jonatan ; Casas-Aparicio, Gustavo ; Irizar-Santana, Sergio ; Pérez-Villalva, Rosalba ; Bobadilla, Norma A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-828c118f55f2b15ade9350c5a195196e5771f23985dfd1e8d3d88646e2e2c08b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Acute Kidney Injury - 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Efforts to change its clinical course have failed because of the fail in the early detection. This study was designed to assess whether heat shock protein (Hsp72) is an early and sensitive biomarker of acute kidney injury (AKI) compared with kidney injury molecule (Kim-1), neutrophil gelatinase-associated lipocalin (NGAL), and interleukin-18 (IL-18) biomarkers.
A total of 56 critically ill patients fulfilled the inclusion criteria. From these patients, 17 developed AKI and 20 were selected as controls. In AKI patients, Kim-1, IL-18, NGAL, and Hsp72 were measured from 3 days before and until 2 days after the AKI diagnosis and in no-AKI patients at 1, 5 and 10 days after admission. Biomarker sensitivity and specificity were determined. To validate the results obtained with ROC curves for Hsp72, a new set of critically ill patients was included, 10 with AKI and 12 with no-AKI patients.
Urinary Hsp72 levels rose since 3 days before the AKI diagnosis in critically ill patients; this early increase was not seen with any other tested biomarkers. Kim-1, IL-18, NGAL, and Hsp72 significantly increased from 2 days before AKI and remained elevated during the AKI diagnosis. The best sensitivity/specificity was observed in Kim-1 and Hsp72: 83/95% and 100/90%, respectively, whereas 1 day before the AKI diagnosis, the values were 100/100% and 100/90%, respectively. The sensibility, specificity and accuracy in the validation test for Hsp72 were 100%, 83.3% and 90.9%, respectively.
The biomarker Hsp72 is enough sensitive and specific to predict AKI in critically ill patients up to 3 days before the diagnosis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25313566</pmid><doi>10.1371/journal.pone.0109407</doi><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2014-10, Vol.9 (10), p.e109407 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1611597353 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; Elektronische Zeitschriftenbibliothek (Open access); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Acute Kidney Injury - diagnosis Acute-Phase Proteins - metabolism Acute-Phase Proteins - urine Adult Aged Area Under Curve Biomarkers Biomarkers - metabolism Biomarkers - urine Critical Illness Cytokines Diagnosis Diagnostic tests Failure Female Gelatinase Heart surgery Heat shock proteins Hepatitis A Virus Cellular Receptor 1 Hospitalization HSP27 Heat-Shock Proteins - metabolism HSP27 Heat-Shock Proteins - urine Hsp72 protein Humans Injuries Intensive care Intensive Care Units Interleukin Interleukin 18 Interleukin-18 - metabolism Interleukin-18 - urine Kidney diseases Kidneys Lipocalin Lipocalin-2 Lipocalins - metabolism Lipocalins - urine Male Medical diagnosis Medicine and health sciences Membrane Glycoproteins - metabolism Membrane Glycoproteins - urine Middle Aged Nephrology Neutrophils Patients Proto-Oncogene Proteins - metabolism Proto-Oncogene Proteins - urine Receptors, Virus - metabolism Research and Analysis Methods ROC Curve Sensitivity Urine |
| title | Hsp72 is a novel biomarker to predict acute kidney injury in critically ill patients |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T20%3A36%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hsp72%20is%20a%20novel%20biomarker%20to%20predict%20acute%20kidney%20injury%20in%20critically%20ill%20patients&rft.jtitle=PloS%20one&rft.au=Morales-Buenrostro,%20Luis%20E&rft.date=2014-10-14&rft.volume=9&rft.issue=10&rft.spage=e109407&rft.pages=e109407-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0109407&rft_dat=%3Cproquest_plos_%3E3460900261%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1611597353&rft_id=info:pmid/25313566&rft_doaj_id=oai_doaj_org_article_b92e06c5847441c997dea3ce4b0f302e&rfr_iscdi=true |