Mac-2 binding protein glycosylation isomer is a potential biomarker to predict portal hypertension and bacterial infection in cirrhotic patients
Mac-2-binding protein glycosylation isomer (M2BPGi) is a novel plasma biomarker for liver fibrosis, but less is known about its role in portal hypertension. We aimed to evaluate the association between M2BPGi and hepatic venous pressure gradient (HVPG) and to investigate its predictive value on prog...
Gespeichert in:
| Veröffentlicht in: | PloS one 2021-10, Vol.16 (10), p.e0258589-e0258589 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0258589 |
|---|---|
| container_issue | 10 |
| container_start_page | e0258589 |
| container_title | PloS one |
| container_volume | 16 |
| creator | Wu, Pei-Shan Hsieh, Yun-Cheng Lee, Kuei-Chuan Huang, Yi-Hsiang Hou, Ming-Chih Lin, Han-Chieh |
| description | Mac-2-binding protein glycosylation isomer (M2BPGi) is a novel plasma biomarker for liver fibrosis, but less is known about its role in portal hypertension. We aimed to evaluate the association between M2BPGi and hepatic venous pressure gradient (HVPG) and to investigate its predictive value on prognosis of cirrhotic patients. Forty-eight cirrhotic patients who underwent HVPG measurement in Taipei Veterans General hospital were retrospectively enrolled. The Spearman's correlation test was used to analyze the correlation between plasma M2BPGi levels and HVPG and other parameters. Cox proportional hazards regression models were used to identify predictors for clinical outcomes. Plasma M2BPGi levels were higher in cirrhotic patients than healthy subjects and significantly correlated with HVPG levels (r.sub.s = 0.45, p = 0.001). On multivariate Cox regression analysis, higher plasma M2BPGi levels [[greater than or equal to] 6 cut-off index (C.O.I)] did not predict mortality within five years for cirrhotic patients and the result was similar in patients without hepatocellular carcinoma. Interestingly, M2BPGi [greater than or equal to] 6 C.O.I was a potential predictor of bacterial infection within five years [Hazar ratio (HR) = 4.51, p = 0.003]. However, M2BPGi failed to predict occurrence of other cirrhosis-related complications, including variceal bleeding, ascites formation, spontaneous bacterial peritonitis, hepatorenal syndrome and hepatic encephalopathy. Plasma M2BPGi levels positively correlated with HVPG and higher serum M2BPGi levels might have a potential role in predicting development of bacterial infection for cirrhotic patients with portal hypertension. |
| doi_str_mv | 10.1371/journal.pone.0258589 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2582105952</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A678973830</galeid><doaj_id>oai_doaj_org_article_6c29ffe58320407f85d31af9c5377753</doaj_id><sourcerecordid>A678973830</sourcerecordid><originalsourceid>FETCH-LOGICAL-c735t-d7a4f453ae77a326e1ad04a6797d9cb40e5a5063374c5932f5f3b307584055833</originalsourceid><addsrcrecordid>eNqNk12L1DAUhoso7rr6DwQLguhFx7RpmvZGWBY_BlYW_LoNZ9K0kzGTdJNUnH_hT_Z0p8pW9kJ6kZLzvO_JOclJkqc5WeWU5693bvQWzGpwVq1IwWpWN_eS07yhRVYVhN6_9X-SPAphRwijdVU9TE5oWZU1q_hp8usjyKxIN9q22vbp4F1U2qa9OUgXDgaidjbVwe2VxyWFdEDARg0GNW4P_jsGokOharWMGPYRY9vDoDyCYZKDbdMNyKj8JNO2U_Joa1Opvd-6qGU6YCo0Do-TBx2YoJ7M61ny9d3bLxcfssur9-uL88tMcspi1nIou5JRUJwDLSqVQ0tKqHjD20ZuSqIYMFJRykvJsA0d6-iGEs7qkjBWU3qWPDv6DsYFMTczCOxjkRPWsAKJ9ZFoHezE4DVWexAOtLjZcL4X4PHoRolKFk3XKfQtSEl4V7OW5tA1klHOOZuyvZmzjZu9aiVW6sEsTJcRq7eidz9EzfKquDF4ORt4dz2qEMVeB6mMAavceDx3nVOWT-jzf9C7q5upHrAAvBSHeeVkKs4rXjec1pQgtbqDwq9Vey3x5XUa9xeCVwsBMlH9jD2MIYj150__z159W7IvbrFbBSZugzPj9JDCEiyPoPQuBK-6v03OiZgG5083xDQ4Yh4c-hsjGwru</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2582105952</pqid></control><display><type>article</type><title>Mac-2 binding protein glycosylation isomer is a potential biomarker to predict portal hypertension and bacterial infection in cirrhotic patients</title><source>Public Library of Science</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>DOAJ: Directory of Open Access Journals</source><source>EZB Electronic Journals Library</source><creator>Wu, Pei-Shan ; Hsieh, Yun-Cheng ; Lee, Kuei-Chuan ; Huang, Yi-Hsiang ; Hou, Ming-Chih ; Lin, Han-Chieh</creator><creatorcontrib>Wu, Pei-Shan ; Hsieh, Yun-Cheng ; Lee, Kuei-Chuan ; Huang, Yi-Hsiang ; Hou, Ming-Chih ; Lin, Han-Chieh</creatorcontrib><description>Mac-2-binding protein glycosylation isomer (M2BPGi) is a novel plasma biomarker for liver fibrosis, but less is known about its role in portal hypertension. We aimed to evaluate the association between M2BPGi and hepatic venous pressure gradient (HVPG) and to investigate its predictive value on prognosis of cirrhotic patients. Forty-eight cirrhotic patients who underwent HVPG measurement in Taipei Veterans General hospital were retrospectively enrolled. The Spearman's correlation test was used to analyze the correlation between plasma M2BPGi levels and HVPG and other parameters. Cox proportional hazards regression models were used to identify predictors for clinical outcomes. Plasma M2BPGi levels were higher in cirrhotic patients than healthy subjects and significantly correlated with HVPG levels (r.sub.s = 0.45, p = 0.001). On multivariate Cox regression analysis, higher plasma M2BPGi levels [[greater than or equal to] 6 cut-off index (C.O.I)] did not predict mortality within five years for cirrhotic patients and the result was similar in patients without hepatocellular carcinoma. Interestingly, M2BPGi [greater than or equal to] 6 C.O.I was a potential predictor of bacterial infection within five years [Hazar ratio (HR) = 4.51, p = 0.003]. However, M2BPGi failed to predict occurrence of other cirrhosis-related complications, including variceal bleeding, ascites formation, spontaneous bacterial peritonitis, hepatorenal syndrome and hepatic encephalopathy. Plasma M2BPGi levels positively correlated with HVPG and higher serum M2BPGi levels might have a potential role in predicting development of bacterial infection for cirrhotic patients with portal hypertension.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0258589</identifier><identifier>PMID: 34648567</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Analysis ; Ascites ; Bacteria ; Bacterial diseases ; Bacterial infections ; Beta blockers ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Catheters ; Cirrhosis ; Clinical outcomes ; Complications ; Complications and side effects ; Correlation ; Cytokines ; Diagnosis ; Encephalopathy ; Enzymes ; Fibrosis ; Gastroenterology ; Glycosylation ; Hazard identification ; Hemodynamics ; Hepatic encephalopathy ; Hepatitis ; Hepatocellular carcinoma ; Hepatology ; Hospitals ; Hypertension ; Infections ; Intubation ; Laboratories ; Liver ; Liver cancer ; Liver cirrhosis ; Liver diseases ; Medicine ; Medicine and Health Sciences ; Parameter identification ; Patients ; Peritonitis ; Physical Sciences ; Plasma ; Portal hypertension ; Pressure gradients ; Proteins ; Pulmonary arteries ; Regression analysis ; Regression models ; Research and Analysis Methods ; Risk factors ; Statistical analysis ; Veins & arteries</subject><ispartof>PloS one, 2021-10, Vol.16 (10), p.e0258589-e0258589</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Wu 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>2021 Wu et al 2021 Wu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c735t-d7a4f453ae77a326e1ad04a6797d9cb40e5a5063374c5932f5f3b307584055833</citedby><cites>FETCH-LOGICAL-c735t-d7a4f453ae77a326e1ad04a6797d9cb40e5a5063374c5932f5f3b307584055833</cites><orcidid>0000-0003-4318-5511</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516253/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516253/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids></links><search><creatorcontrib>Wu, Pei-Shan</creatorcontrib><creatorcontrib>Hsieh, Yun-Cheng</creatorcontrib><creatorcontrib>Lee, Kuei-Chuan</creatorcontrib><creatorcontrib>Huang, Yi-Hsiang</creatorcontrib><creatorcontrib>Hou, Ming-Chih</creatorcontrib><creatorcontrib>Lin, Han-Chieh</creatorcontrib><title>Mac-2 binding protein glycosylation isomer is a potential biomarker to predict portal hypertension and bacterial infection in cirrhotic patients</title><title>PloS one</title><description>Mac-2-binding protein glycosylation isomer (M2BPGi) is a novel plasma biomarker for liver fibrosis, but less is known about its role in portal hypertension. We aimed to evaluate the association between M2BPGi and hepatic venous pressure gradient (HVPG) and to investigate its predictive value on prognosis of cirrhotic patients. Forty-eight cirrhotic patients who underwent HVPG measurement in Taipei Veterans General hospital were retrospectively enrolled. The Spearman's correlation test was used to analyze the correlation between plasma M2BPGi levels and HVPG and other parameters. Cox proportional hazards regression models were used to identify predictors for clinical outcomes. Plasma M2BPGi levels were higher in cirrhotic patients than healthy subjects and significantly correlated with HVPG levels (r.sub.s = 0.45, p = 0.001). On multivariate Cox regression analysis, higher plasma M2BPGi levels [[greater than or equal to] 6 cut-off index (C.O.I)] did not predict mortality within five years for cirrhotic patients and the result was similar in patients without hepatocellular carcinoma. Interestingly, M2BPGi [greater than or equal to] 6 C.O.I was a potential predictor of bacterial infection within five years [Hazar ratio (HR) = 4.51, p = 0.003]. However, M2BPGi failed to predict occurrence of other cirrhosis-related complications, including variceal bleeding, ascites formation, spontaneous bacterial peritonitis, hepatorenal syndrome and hepatic encephalopathy. Plasma M2BPGi levels positively correlated with HVPG and higher serum M2BPGi levels might have a potential role in predicting development of bacterial infection for cirrhotic patients with portal hypertension.</description><subject>Analysis</subject><subject>Ascites</subject><subject>Bacteria</subject><subject>Bacterial diseases</subject><subject>Bacterial infections</subject><subject>Beta blockers</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Catheters</subject><subject>Cirrhosis</subject><subject>Clinical outcomes</subject><subject>Complications</subject><subject>Complications and side effects</subject><subject>Correlation</subject><subject>Cytokines</subject><subject>Diagnosis</subject><subject>Encephalopathy</subject><subject>Enzymes</subject><subject>Fibrosis</subject><subject>Gastroenterology</subject><subject>Glycosylation</subject><subject>Hazard identification</subject><subject>Hemodynamics</subject><subject>Hepatic encephalopathy</subject><subject>Hepatitis</subject><subject>Hepatocellular carcinoma</subject><subject>Hepatology</subject><subject>Hospitals</subject><subject>Hypertension</subject><subject>Infections</subject><subject>Intubation</subject><subject>Laboratories</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Liver cirrhosis</subject><subject>Liver diseases</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Parameter identification</subject><subject>Patients</subject><subject>Peritonitis</subject><subject>Physical Sciences</subject><subject>Plasma</subject><subject>Portal hypertension</subject><subject>Pressure gradients</subject><subject>Proteins</subject><subject>Pulmonary arteries</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Statistical analysis</subject><subject>Veins & arteries</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6DwQLguhFx7RpmvZGWBY_BlYW_LoNZ9K0kzGTdJNUnH_hT_Z0p8pW9kJ6kZLzvO_JOclJkqc5WeWU5693bvQWzGpwVq1IwWpWN_eS07yhRVYVhN6_9X-SPAphRwijdVU9TE5oWZU1q_hp8usjyKxIN9q22vbp4F1U2qa9OUgXDgaidjbVwe2VxyWFdEDARg0GNW4P_jsGokOharWMGPYRY9vDoDyCYZKDbdMNyKj8JNO2U_Joa1Opvd-6qGU6YCo0Do-TBx2YoJ7M61ny9d3bLxcfssur9-uL88tMcspi1nIou5JRUJwDLSqVQ0tKqHjD20ZuSqIYMFJRykvJsA0d6-iGEs7qkjBWU3qWPDv6DsYFMTczCOxjkRPWsAKJ9ZFoHezE4DVWexAOtLjZcL4X4PHoRolKFk3XKfQtSEl4V7OW5tA1klHOOZuyvZmzjZu9aiVW6sEsTJcRq7eidz9EzfKquDF4ORt4dz2qEMVeB6mMAavceDx3nVOWT-jzf9C7q5upHrAAvBSHeeVkKs4rXjec1pQgtbqDwq9Vey3x5XUa9xeCVwsBMlH9jD2MIYj150__z159W7IvbrFbBSZugzPj9JDCEiyPoPQuBK-6v03OiZgG5083xDQ4Yh4c-hsjGwru</recordid><startdate>20211014</startdate><enddate>20211014</enddate><creator>Wu, Pei-Shan</creator><creator>Hsieh, Yun-Cheng</creator><creator>Lee, Kuei-Chuan</creator><creator>Huang, Yi-Hsiang</creator><creator>Hou, Ming-Chih</creator><creator>Lin, Han-Chieh</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</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>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4318-5511</orcidid></search><sort><creationdate>20211014</creationdate><title>Mac-2 binding protein glycosylation isomer is a potential biomarker to predict portal hypertension and bacterial infection in cirrhotic patients</title><author>Wu, Pei-Shan ; Hsieh, Yun-Cheng ; Lee, Kuei-Chuan ; Huang, Yi-Hsiang ; Hou, Ming-Chih ; Lin, Han-Chieh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c735t-d7a4f453ae77a326e1ad04a6797d9cb40e5a5063374c5932f5f3b307584055833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Ascites</topic><topic>Bacteria</topic><topic>Bacterial diseases</topic><topic>Bacterial infections</topic><topic>Beta blockers</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Catheters</topic><topic>Cirrhosis</topic><topic>Clinical outcomes</topic><topic>Complications</topic><topic>Complications and side effects</topic><topic>Correlation</topic><topic>Cytokines</topic><topic>Diagnosis</topic><topic>Encephalopathy</topic><topic>Enzymes</topic><topic>Fibrosis</topic><topic>Gastroenterology</topic><topic>Glycosylation</topic><topic>Hazard identification</topic><topic>Hemodynamics</topic><topic>Hepatic encephalopathy</topic><topic>Hepatitis</topic><topic>Hepatocellular carcinoma</topic><topic>Hepatology</topic><topic>Hospitals</topic><topic>Hypertension</topic><topic>Infections</topic><topic>Intubation</topic><topic>Laboratories</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Liver cirrhosis</topic><topic>Liver diseases</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Parameter identification</topic><topic>Patients</topic><topic>Peritonitis</topic><topic>Physical Sciences</topic><topic>Plasma</topic><topic>Portal hypertension</topic><topic>Pressure gradients</topic><topic>Proteins</topic><topic>Pulmonary arteries</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><topic>Statistical analysis</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Pei-Shan</creatorcontrib><creatorcontrib>Hsieh, Yun-Cheng</creatorcontrib><creatorcontrib>Lee, Kuei-Chuan</creatorcontrib><creatorcontrib>Huang, Yi-Hsiang</creatorcontrib><creatorcontrib>Hou, Ming-Chih</creatorcontrib><creatorcontrib>Lin, Han-Chieh</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale in Context: Science</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)</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</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</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>ProQuest Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>ProQuest Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</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>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</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>Wu, Pei-Shan</au><au>Hsieh, Yun-Cheng</au><au>Lee, Kuei-Chuan</au><au>Huang, Yi-Hsiang</au><au>Hou, Ming-Chih</au><au>Lin, Han-Chieh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mac-2 binding protein glycosylation isomer is a potential biomarker to predict portal hypertension and bacterial infection in cirrhotic patients</atitle><jtitle>PloS one</jtitle><date>2021-10-14</date><risdate>2021</risdate><volume>16</volume><issue>10</issue><spage>e0258589</spage><epage>e0258589</epage><pages>e0258589-e0258589</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Mac-2-binding protein glycosylation isomer (M2BPGi) is a novel plasma biomarker for liver fibrosis, but less is known about its role in portal hypertension. We aimed to evaluate the association between M2BPGi and hepatic venous pressure gradient (HVPG) and to investigate its predictive value on prognosis of cirrhotic patients. Forty-eight cirrhotic patients who underwent HVPG measurement in Taipei Veterans General hospital were retrospectively enrolled. The Spearman's correlation test was used to analyze the correlation between plasma M2BPGi levels and HVPG and other parameters. Cox proportional hazards regression models were used to identify predictors for clinical outcomes. Plasma M2BPGi levels were higher in cirrhotic patients than healthy subjects and significantly correlated with HVPG levels (r.sub.s = 0.45, p = 0.001). On multivariate Cox regression analysis, higher plasma M2BPGi levels [[greater than or equal to] 6 cut-off index (C.O.I)] did not predict mortality within five years for cirrhotic patients and the result was similar in patients without hepatocellular carcinoma. Interestingly, M2BPGi [greater than or equal to] 6 C.O.I was a potential predictor of bacterial infection within five years [Hazar ratio (HR) = 4.51, p = 0.003]. However, M2BPGi failed to predict occurrence of other cirrhosis-related complications, including variceal bleeding, ascites formation, spontaneous bacterial peritonitis, hepatorenal syndrome and hepatic encephalopathy. Plasma M2BPGi levels positively correlated with HVPG and higher serum M2BPGi levels might have a potential role in predicting development of bacterial infection for cirrhotic patients with portal hypertension.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>34648567</pmid><doi>10.1371/journal.pone.0258589</doi><tpages>e0258589</tpages><orcidid>https://orcid.org/0000-0003-4318-5511</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2021-10, Vol.16 (10), p.e0258589-e0258589 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2582105952 |
| source | Public Library of Science; PubMed Central; Free Full-Text Journals in Chemistry; DOAJ: Directory of Open Access Journals; EZB Electronic Journals Library |
| subjects | Analysis Ascites Bacteria Bacterial diseases Bacterial infections Beta blockers Biological markers Biology and Life Sciences Biomarkers Catheters Cirrhosis Clinical outcomes Complications Complications and side effects Correlation Cytokines Diagnosis Encephalopathy Enzymes Fibrosis Gastroenterology Glycosylation Hazard identification Hemodynamics Hepatic encephalopathy Hepatitis Hepatocellular carcinoma Hepatology Hospitals Hypertension Infections Intubation Laboratories Liver Liver cancer Liver cirrhosis Liver diseases Medicine Medicine and Health Sciences Parameter identification Patients Peritonitis Physical Sciences Plasma Portal hypertension Pressure gradients Proteins Pulmonary arteries Regression analysis Regression models Research and Analysis Methods Risk factors Statistical analysis Veins & arteries |
| title | Mac-2 binding protein glycosylation isomer is a potential biomarker to predict portal hypertension and bacterial infection in cirrhotic patients |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T16%3A14%3A27IST&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=Mac-2%20binding%20protein%20glycosylation%20isomer%20is%20a%20potential%20biomarker%20to%20predict%20portal%20hypertension%20and%20bacterial%20infection%20in%20cirrhotic%20patients&rft.jtitle=PloS%20one&rft.au=Wu,%20Pei-Shan&rft.date=2021-10-14&rft.volume=16&rft.issue=10&rft.spage=e0258589&rft.epage=e0258589&rft.pages=e0258589-e0258589&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0258589&rft_dat=%3Cgale_plos_%3EA678973830%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=2582105952&rft_id=info:pmid/34648567&rft_galeid=A678973830&rft_doaj_id=oai_doaj_org_article_6c29ffe58320407f85d31af9c5377753&rfr_iscdi=true |