The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function
Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical out...
Gespeichert in:
| Veröffentlicht in: | PloS one 2015-05, Vol.10 (5), p.e0127073-e0127073 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0127073 |
|---|---|
| container_issue | 5 |
| container_start_page | e0127073 |
| container_title | PloS one |
| container_volume | 10 |
| creator | Khorsandi, Shirin Elizabeth Quaglia, Alberto Salehi, Siamak Jassem, Wayel Vilca-Melendez, Hector Prachalias, Andreas Srinivasan, Parthi Heaton, Nigel |
| description | Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical outcome. DCD groups were categorized as PNF retransplanted within a week (n=7), good functional outcome (n=7) peak aspartate transaminase (AST) ≤ 1000 IU/L and EGD (n=9) peak AST ≥ 2500 IU/L. miRNA was extracted from archival formalin fixed post-perfusion tru-cut liver biopsies. High throughput expression analysis was performed using miRNA arrays. Bioinformatics for expression data analysis was performed and validated with real time quantitative PCR (RT-qPCR). The function of miRNA of interest was investigated using computational biology prediction algorithms. From the array analysis 16 miRNAs were identified as significantly different (p |
| doi_str_mv | 10.1371/journal.pone.0127073 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1681094640</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A432104361</galeid><doaj_id>oai_doaj_org_article_aa0a000382974933bd5fbc04af096190</doaj_id><sourcerecordid>A432104361</sourcerecordid><originalsourceid>FETCH-LOGICAL-c651t-15e4e256cda612e2e6e58ae88d67804d038c99acbff00ceb0560aa059da304d23</originalsourceid><addsrcrecordid>eNptkl1v0zAUhiMEYmPwDxBYQkLjosVfcZIbpKrdoFI1EBrX1qlz0rpK485OJnrBf8dZs6lFXNnyec9zPvwmyVtGx0xk7PPGdb6BerxzDY4p4xnNxLPknBWCjxSn4vnR_Sx5FcKG0lTkSr1MznhaZHnKi_Pkz-0aydYa737eTMjV753HEKxryA_vKlsjsQ2ZuQba_g2qFj2Zgi8tGDJDaNfkcjadfSILe48-EGhKMm8DmSxtbds9aR2Zl9i0ttpHoN2C35ObCLruGtMTXycvKqgDvhnOi-TX9dXt9Nto8f3rfDpZjIxKWTtiKUrkqTIlKMaRo8I0B8zzUmU5lSUVuSkKMMuqotTgkqaKAtC0KEHEMBcXyfsDd1e7oIfNBc1UzmghlaRRMT8oSgcbvTv0qh1Y_fDg_EqDb62pUUcyUBpr8iKThRDLMq2WhkqoaKFY0bO-DNW65RZLExfgoT6BnkYau9Yrd6-lFIIxFQGXA8C7uw5Dq7c2GKxraNB1D31zTrNUZlH64R_p_6cbVCuIA9imcrGu6aF6IgVnVArFourjkWqNULfr4Oqu_6lwKpQHYbRNCB6rp9kY1b05H5vQvTn1YM6Y9u54L09Jj24UfwERAt_a</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1681094640</pqid></control><display><type>article</type><title>The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Khorsandi, Shirin Elizabeth ; Quaglia, Alberto ; Salehi, Siamak ; Jassem, Wayel ; Vilca-Melendez, Hector ; Prachalias, Andreas ; Srinivasan, Parthi ; Heaton, Nigel</creator><creatorcontrib>Khorsandi, Shirin Elizabeth ; Quaglia, Alberto ; Salehi, Siamak ; Jassem, Wayel ; Vilca-Melendez, Hector ; Prachalias, Andreas ; Srinivasan, Parthi ; Heaton, Nigel</creatorcontrib><description>Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical outcome. DCD groups were categorized as PNF retransplanted within a week (n=7), good functional outcome (n=7) peak aspartate transaminase (AST) ≤ 1000 IU/L and EGD (n=9) peak AST ≥ 2500 IU/L. miRNA was extracted from archival formalin fixed post-perfusion tru-cut liver biopsies. High throughput expression analysis was performed using miRNA arrays. Bioinformatics for expression data analysis was performed and validated with real time quantitative PCR (RT-qPCR). The function of miRNA of interest was investigated using computational biology prediction algorithms. From the array analysis 16 miRNAs were identified as significantly different (p<0.05). On RT-qPCR miR-155 and miR-940 had the highest expression across all three DCD clinical groups. Only one miRNA, miR-22, was validated with marginal significance, to have differential expression between the three groups (p=0.049). From computational biology miR-22 was predicted to affect signalling pathways that impact protein turnover, metabolism and apoptosis/cell cycle. In conclusion, microRNA expression patterns have a low diagnostic potential clinically in discriminating DCD liver quality and outcome.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0127073</identifier><identifier>PMID: 25978529</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Algorithms ; Analysis ; Apoptosis ; Arrays ; Aspartate Aminotransferases - blood ; Aspartate transaminase ; Bioinformatics ; Biology ; Biopsy ; Care and treatment ; Cell cycle ; Complications and side effects ; Computation ; Computer applications ; Data analysis ; Data processing ; Death ; Diagnostic systems ; Gene expression ; Genomics ; Heart diseases ; Humans ; Hypoglycemia ; Hypoxia ; Influence ; Ischemia ; Liver ; Liver - metabolism ; Liver Transplantation - methods ; Liver transplants ; Metabolism ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; Middle Aged ; miRNA ; Organs ; Perfusion ; Predictions ; Protein turnover ; Ribonucleic acid ; RNA ; Rodents ; Signal transduction ; Signaling ; Studies ; Tissue and Organ Procurement - methods ; Tissue Donors ; Transaminase ; Transcriptome - genetics ; Transplants & implants</subject><ispartof>PloS one, 2015-05, Vol.10 (5), p.e0127073-e0127073</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Khorsandi 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>2015 Khorsandi et al 2015 Khorsandi et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c651t-15e4e256cda612e2e6e58ae88d67804d038c99acbff00ceb0560aa059da304d23</citedby><cites>FETCH-LOGICAL-c651t-15e4e256cda612e2e6e58ae88d67804d038c99acbff00ceb0560aa059da304d23</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/PMC4433116/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433116/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25978529$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Khorsandi, Shirin Elizabeth</creatorcontrib><creatorcontrib>Quaglia, Alberto</creatorcontrib><creatorcontrib>Salehi, Siamak</creatorcontrib><creatorcontrib>Jassem, Wayel</creatorcontrib><creatorcontrib>Vilca-Melendez, Hector</creatorcontrib><creatorcontrib>Prachalias, Andreas</creatorcontrib><creatorcontrib>Srinivasan, Parthi</creatorcontrib><creatorcontrib>Heaton, Nigel</creatorcontrib><title>The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical outcome. DCD groups were categorized as PNF retransplanted within a week (n=7), good functional outcome (n=7) peak aspartate transaminase (AST) ≤ 1000 IU/L and EGD (n=9) peak AST ≥ 2500 IU/L. miRNA was extracted from archival formalin fixed post-perfusion tru-cut liver biopsies. High throughput expression analysis was performed using miRNA arrays. Bioinformatics for expression data analysis was performed and validated with real time quantitative PCR (RT-qPCR). The function of miRNA of interest was investigated using computational biology prediction algorithms. From the array analysis 16 miRNAs were identified as significantly different (p<0.05). On RT-qPCR miR-155 and miR-940 had the highest expression across all three DCD clinical groups. Only one miRNA, miR-22, was validated with marginal significance, to have differential expression between the three groups (p=0.049). From computational biology miR-22 was predicted to affect signalling pathways that impact protein turnover, metabolism and apoptosis/cell cycle. In conclusion, microRNA expression patterns have a low diagnostic potential clinically in discriminating DCD liver quality and outcome.</description><subject>Adult</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Apoptosis</subject><subject>Arrays</subject><subject>Aspartate Aminotransferases - blood</subject><subject>Aspartate transaminase</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biopsy</subject><subject>Care and treatment</subject><subject>Cell cycle</subject><subject>Complications and side effects</subject><subject>Computation</subject><subject>Computer applications</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Death</subject><subject>Diagnostic systems</subject><subject>Gene expression</subject><subject>Genomics</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Hypoglycemia</subject><subject>Hypoxia</subject><subject>Influence</subject><subject>Ischemia</subject><subject>Liver</subject><subject>Liver - metabolism</subject><subject>Liver Transplantation - methods</subject><subject>Liver transplants</subject><subject>Metabolism</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>Middle Aged</subject><subject>miRNA</subject><subject>Organs</subject><subject>Perfusion</subject><subject>Predictions</subject><subject>Protein turnover</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Rodents</subject><subject>Signal transduction</subject><subject>Signaling</subject><subject>Studies</subject><subject>Tissue and Organ Procurement - methods</subject><subject>Tissue Donors</subject><subject>Transaminase</subject><subject>Transcriptome - genetics</subject><subject>Transplants & implants</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1v0zAUhiMEYmPwDxBYQkLjosVfcZIbpKrdoFI1EBrX1qlz0rpK485OJnrBf8dZs6lFXNnyec9zPvwmyVtGx0xk7PPGdb6BerxzDY4p4xnNxLPknBWCjxSn4vnR_Sx5FcKG0lTkSr1MznhaZHnKi_Pkz-0aydYa737eTMjV753HEKxryA_vKlsjsQ2ZuQba_g2qFj2Zgi8tGDJDaNfkcjadfSILe48-EGhKMm8DmSxtbds9aR2Zl9i0ttpHoN2C35ObCLruGtMTXycvKqgDvhnOi-TX9dXt9Nto8f3rfDpZjIxKWTtiKUrkqTIlKMaRo8I0B8zzUmU5lSUVuSkKMMuqotTgkqaKAtC0KEHEMBcXyfsDd1e7oIfNBc1UzmghlaRRMT8oSgcbvTv0qh1Y_fDg_EqDb62pUUcyUBpr8iKThRDLMq2WhkqoaKFY0bO-DNW65RZLExfgoT6BnkYau9Yrd6-lFIIxFQGXA8C7uw5Dq7c2GKxraNB1D31zTrNUZlH64R_p_6cbVCuIA9imcrGu6aF6IgVnVArFourjkWqNULfr4Oqu_6lwKpQHYbRNCB6rp9kY1b05H5vQvTn1YM6Y9u54L09Jj24UfwERAt_a</recordid><startdate>20150515</startdate><enddate>20150515</enddate><creator>Khorsandi, Shirin Elizabeth</creator><creator>Quaglia, Alberto</creator><creator>Salehi, Siamak</creator><creator>Jassem, Wayel</creator><creator>Vilca-Melendez, Hector</creator><creator>Prachalias, Andreas</creator><creator>Srinivasan, Parthi</creator><creator>Heaton, Nigel</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>AEUYN</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>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150515</creationdate><title>The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function</title><author>Khorsandi, Shirin Elizabeth ; Quaglia, Alberto ; Salehi, Siamak ; Jassem, Wayel ; Vilca-Melendez, Hector ; Prachalias, Andreas ; Srinivasan, Parthi ; Heaton, Nigel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c651t-15e4e256cda612e2e6e58ae88d67804d038c99acbff00ceb0560aa059da304d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Apoptosis</topic><topic>Arrays</topic><topic>Aspartate Aminotransferases - blood</topic><topic>Aspartate transaminase</topic><topic>Bioinformatics</topic><topic>Biology</topic><topic>Biopsy</topic><topic>Care and treatment</topic><topic>Cell cycle</topic><topic>Complications and side effects</topic><topic>Computation</topic><topic>Computer applications</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Death</topic><topic>Diagnostic systems</topic><topic>Gene expression</topic><topic>Genomics</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Hypoglycemia</topic><topic>Hypoxia</topic><topic>Influence</topic><topic>Ischemia</topic><topic>Liver</topic><topic>Liver - metabolism</topic><topic>Liver Transplantation - methods</topic><topic>Liver transplants</topic><topic>Metabolism</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>Middle Aged</topic><topic>miRNA</topic><topic>Organs</topic><topic>Perfusion</topic><topic>Predictions</topic><topic>Protein turnover</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>Rodents</topic><topic>Signal transduction</topic><topic>Signaling</topic><topic>Studies</topic><topic>Tissue and Organ Procurement - methods</topic><topic>Tissue Donors</topic><topic>Transaminase</topic><topic>Transcriptome - genetics</topic><topic>Transplants & implants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khorsandi, Shirin Elizabeth</creatorcontrib><creatorcontrib>Quaglia, Alberto</creatorcontrib><creatorcontrib>Salehi, Siamak</creatorcontrib><creatorcontrib>Jassem, Wayel</creatorcontrib><creatorcontrib>Vilca-Melendez, Hector</creatorcontrib><creatorcontrib>Prachalias, Andreas</creatorcontrib><creatorcontrib>Srinivasan, Parthi</creatorcontrib><creatorcontrib>Heaton, Nigel</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khorsandi, Shirin Elizabeth</au><au>Quaglia, Alberto</au><au>Salehi, Siamak</au><au>Jassem, Wayel</au><au>Vilca-Melendez, Hector</au><au>Prachalias, Andreas</au><au>Srinivasan, Parthi</au><au>Heaton, Nigel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-05-15</date><risdate>2015</risdate><volume>10</volume><issue>5</issue><spage>e0127073</spage><epage>e0127073</epage><pages>e0127073-e0127073</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical outcome. DCD groups were categorized as PNF retransplanted within a week (n=7), good functional outcome (n=7) peak aspartate transaminase (AST) ≤ 1000 IU/L and EGD (n=9) peak AST ≥ 2500 IU/L. miRNA was extracted from archival formalin fixed post-perfusion tru-cut liver biopsies. High throughput expression analysis was performed using miRNA arrays. Bioinformatics for expression data analysis was performed and validated with real time quantitative PCR (RT-qPCR). The function of miRNA of interest was investigated using computational biology prediction algorithms. From the array analysis 16 miRNAs were identified as significantly different (p<0.05). On RT-qPCR miR-155 and miR-940 had the highest expression across all three DCD clinical groups. Only one miRNA, miR-22, was validated with marginal significance, to have differential expression between the three groups (p=0.049). From computational biology miR-22 was predicted to affect signalling pathways that impact protein turnover, metabolism and apoptosis/cell cycle. In conclusion, microRNA expression patterns have a low diagnostic potential clinically in discriminating DCD liver quality and outcome.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25978529</pmid><doi>10.1371/journal.pone.0127073</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-05, Vol.10 (5), p.e0127073-e0127073 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1681094640 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Adult Algorithms Analysis Apoptosis Arrays Aspartate Aminotransferases - blood Aspartate transaminase Bioinformatics Biology Biopsy Care and treatment Cell cycle Complications and side effects Computation Computer applications Data analysis Data processing Death Diagnostic systems Gene expression Genomics Heart diseases Humans Hypoglycemia Hypoxia Influence Ischemia Liver Liver - metabolism Liver Transplantation - methods Liver transplants Metabolism MicroRNA MicroRNAs MicroRNAs - genetics Middle Aged miRNA Organs Perfusion Predictions Protein turnover Ribonucleic acid RNA Rodents Signal transduction Signaling Studies Tissue and Organ Procurement - methods Tissue Donors Transaminase Transcriptome - genetics Transplants & implants |
| title | The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-18T22%3A54%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20microRNA%20Expression%20Profile%20in%20Donation%20after%20Cardiac%20Death%20(DCD)%20Livers%20and%20Its%20Ability%20to%20Identify%20Primary%20Non%20Function&rft.jtitle=PloS%20one&rft.au=Khorsandi,%20Shirin%20Elizabeth&rft.date=2015-05-15&rft.volume=10&rft.issue=5&rft.spage=e0127073&rft.epage=e0127073&rft.pages=e0127073-e0127073&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0127073&rft_dat=%3Cgale_plos_%3EA432104361%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1681094640&rft_id=info:pmid/25978529&rft_galeid=A432104361&rft_doaj_id=oai_doaj_org_article_aa0a000382974933bd5fbc04af096190&rfr_iscdi=true |