Factors influencing subclinical atherosclerosis in patients with biopsy-proven nonalcoholic fatty liver disease
Although the presence of nonalcoholic fatty liver disease (NAFLD) is known to be related to subclinical atherosclerosis, the relationship between the severity of NAFLD and subclinical atherosclerosis is not clear. This study aimed to clarify the factors related to subclinical arteriosclerosis, inclu...
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| Veröffentlicht in: | PloS one 2019-11, Vol.14 (11), p.e0224184-e0224184 |
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| creator | Arai, Taeang Atsukawa, Masanori Tsubota, Akihito Kawano, Tadamichi Koeda, Mai Yoshida, Yuji Tanabe, Tomohide Okubo, Tomomi Hayama, Korenobu Iwashita, Ai Itokawa, Norio Kondo, Chisa Kaneko, Keiko Kawamoto, Chiaki Hatori, Tsutomu Emoto, Naoya Iio, Etsuko Tanaka, Yasuhito Iwakiri, Katsuhiko |
| description | Although the presence of nonalcoholic fatty liver disease (NAFLD) is known to be related to subclinical atherosclerosis, the relationship between the severity of NAFLD and subclinical atherosclerosis is not clear. This study aimed to clarify the factors related to subclinical arteriosclerosis, including the histopathological severity of the disease and PNPLA3 gene polymorphisms, in NAFLD patients. We measured brachial-ankle pulse wave velocity (baPWV) as an index of arterial stiffness in 153 biopsy-proven NAFLD patients. The baPWV values were significantly higher in the advanced fibrosis group than in the less advanced group (median, 1679 cm/s vs 1489 cm/s; p = 5.49×10-4). Multiple logistic regression analysis revealed that older age (≥55 years) (p = 8.57×10-3; OR = 3.03), hypertension (p = 1.05×10-3; OR = 3.46), and advanced fibrosis (p = 9.22×10-3; OR = 2.94) were independently linked to baPWV ≥1600 cm/s. NAFLD patients were categorized into low-risk group (number of risk factors = 0), intermediate-risk group (= 1), and high-risk group (≥2) based on their risk factors, including older age, hypertension, and biopsy-confirmed advanced fibrosis. The prevalence of baPWV ≥1600 cm/s was 7.1% (3/42) in the low-risk group, 30.8% (12/39) in the intermediate-risk group, and 63.9% (46/72) in the high-risk group. Non-invasive liver fibrosis markers and scores, including the FIB-4 index, NAFLD fibrosis score, hyaluronic acid, Wisteria floribunda agglutinin positive Mac-2-binding protein, and type IV collagen 7s, were feasible substitutes for invasive liver biopsy. Older age, hypertension, and advanced fibrosis are independently related to arterial stiffness, and a combination of these three factors may predict risk of arteriosclerosis in NAFLD patients. |
| doi_str_mv | 10.1371/journal.pone.0224184 |
| format | Article |
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This study aimed to clarify the factors related to subclinical arteriosclerosis, including the histopathological severity of the disease and PNPLA3 gene polymorphisms, in NAFLD patients. We measured brachial-ankle pulse wave velocity (baPWV) as an index of arterial stiffness in 153 biopsy-proven NAFLD patients. The baPWV values were significantly higher in the advanced fibrosis group than in the less advanced group (median, 1679 cm/s vs 1489 cm/s; p = 5.49×10-4). Multiple logistic regression analysis revealed that older age (≥55 years) (p = 8.57×10-3; OR = 3.03), hypertension (p = 1.05×10-3; OR = 3.46), and advanced fibrosis (p = 9.22×10-3; OR = 2.94) were independently linked to baPWV ≥1600 cm/s. NAFLD patients were categorized into low-risk group (number of risk factors = 0), intermediate-risk group (= 1), and high-risk group (≥2) based on their risk factors, including older age, hypertension, and biopsy-confirmed advanced fibrosis. The prevalence of baPWV ≥1600 cm/s was 7.1% (3/42) in the low-risk group, 30.8% (12/39) in the intermediate-risk group, and 63.9% (46/72) in the high-risk group. Non-invasive liver fibrosis markers and scores, including the FIB-4 index, NAFLD fibrosis score, hyaluronic acid, Wisteria floribunda agglutinin positive Mac-2-binding protein, and type IV collagen 7s, were feasible substitutes for invasive liver biopsy. Older age, hypertension, and advanced fibrosis are independently related to arterial stiffness, and a combination of these three factors may predict risk of arteriosclerosis in NAFLD patients.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0224184</identifier><identifier>PMID: 31721770</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Age ; Age Factors ; Aged ; Aged, 80 and over ; Alcohol use ; Analysis ; Ankle ; Ankle Brachial Index ; Arteriosclerosis ; Atherosclerosis ; Atherosclerosis - complications ; Atherosclerosis - diagnosis ; Atherosclerosis - genetics ; Atherosclerosis - pathology ; Biology and Life Sciences ; Biopsy ; Blood pressure ; Cardiovascular disease ; Care and treatment ; Cholesterol ; Collagen ; Collagen (type IV) ; Diabetes ; Fatty liver ; Female ; Fibrosis ; Gastroenterology ; Genes ; Genetic aspects ; Genetic polymorphisms ; Health risks ; Hepatitis ; Hepatology ; Hospitals ; Humans ; Hyaluronic acid ; Hypertension ; Hypertension - complications ; Hypertension - genetics ; Laboratories ; Lipase - genetics ; Liver ; Liver diseases ; Male ; Medical research ; Medical schools ; Medicine and Health Sciences ; Membrane Proteins - genetics ; Metabolism ; Middle Aged ; Non-alcoholic Fatty Liver Disease - complications ; Non-alcoholic Fatty Liver Disease - diagnosis ; Non-alcoholic Fatty Liver Disease - genetics ; Non-alcoholic Fatty Liver Disease - pathology ; Protein binding ; Pulse Wave Analysis ; Regression analysis ; Risk analysis ; Risk Factors ; Risk groups ; Severity of Illness Index ; Stiffness ; Studies ; Type 2 diabetes ; Vascular Stiffness - physiology ; Virology ; Wave velocity ; Young Adult</subject><ispartof>PloS one, 2019-11, Vol.14 (11), p.e0224184-e0224184</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Arai 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>2019 Arai et al 2019 Arai et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-242e888eaa0d2d80d5058af76d94e001bf6a9584fdf43101d25536bffdd402ca3</citedby><cites>FETCH-LOGICAL-c692t-242e888eaa0d2d80d5058af76d94e001bf6a9584fdf43101d25536bffdd402ca3</cites><orcidid>0000-0003-3374-7111</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/PMC6853607/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853607/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2932,23875,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31721770$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Huang, Jee-Fu</contributor><creatorcontrib>Arai, Taeang</creatorcontrib><creatorcontrib>Atsukawa, Masanori</creatorcontrib><creatorcontrib>Tsubota, Akihito</creatorcontrib><creatorcontrib>Kawano, Tadamichi</creatorcontrib><creatorcontrib>Koeda, Mai</creatorcontrib><creatorcontrib>Yoshida, Yuji</creatorcontrib><creatorcontrib>Tanabe, Tomohide</creatorcontrib><creatorcontrib>Okubo, Tomomi</creatorcontrib><creatorcontrib>Hayama, Korenobu</creatorcontrib><creatorcontrib>Iwashita, Ai</creatorcontrib><creatorcontrib>Itokawa, Norio</creatorcontrib><creatorcontrib>Kondo, Chisa</creatorcontrib><creatorcontrib>Kaneko, Keiko</creatorcontrib><creatorcontrib>Kawamoto, Chiaki</creatorcontrib><creatorcontrib>Hatori, Tsutomu</creatorcontrib><creatorcontrib>Emoto, Naoya</creatorcontrib><creatorcontrib>Iio, Etsuko</creatorcontrib><creatorcontrib>Tanaka, Yasuhito</creatorcontrib><creatorcontrib>Iwakiri, Katsuhiko</creatorcontrib><title>Factors influencing subclinical atherosclerosis in patients with biopsy-proven nonalcoholic fatty liver disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Although the presence of nonalcoholic fatty liver disease (NAFLD) is known to be related to subclinical atherosclerosis, the relationship between the severity of NAFLD and subclinical atherosclerosis is not clear. This study aimed to clarify the factors related to subclinical arteriosclerosis, including the histopathological severity of the disease and PNPLA3 gene polymorphisms, in NAFLD patients. We measured brachial-ankle pulse wave velocity (baPWV) as an index of arterial stiffness in 153 biopsy-proven NAFLD patients. The baPWV values were significantly higher in the advanced fibrosis group than in the less advanced group (median, 1679 cm/s vs 1489 cm/s; p = 5.49×10-4). Multiple logistic regression analysis revealed that older age (≥55 years) (p = 8.57×10-3; OR = 3.03), hypertension (p = 1.05×10-3; OR = 3.46), and advanced fibrosis (p = 9.22×10-3; OR = 2.94) were independently linked to baPWV ≥1600 cm/s. NAFLD patients were categorized into low-risk group (number of risk factors = 0), intermediate-risk group (= 1), and high-risk group (≥2) based on their risk factors, including older age, hypertension, and biopsy-confirmed advanced fibrosis. The prevalence of baPWV ≥1600 cm/s was 7.1% (3/42) in the low-risk group, 30.8% (12/39) in the intermediate-risk group, and 63.9% (46/72) in the high-risk group. Non-invasive liver fibrosis markers and scores, including the FIB-4 index, NAFLD fibrosis score, hyaluronic acid, Wisteria floribunda agglutinin positive Mac-2-binding protein, and type IV collagen 7s, were feasible substitutes for invasive liver biopsy. Older age, hypertension, and advanced fibrosis are independently related to arterial stiffness, and a combination of these three factors may predict risk of arteriosclerosis in NAFLD patients.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alcohol use</subject><subject>Analysis</subject><subject>Ankle</subject><subject>Ankle Brachial Index</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - complications</subject><subject>Atherosclerosis - diagnosis</subject><subject>Atherosclerosis - genetics</subject><subject>Atherosclerosis - pathology</subject><subject>Biology and Life Sciences</subject><subject>Biopsy</subject><subject>Blood pressure</subject><subject>Cardiovascular disease</subject><subject>Care and treatment</subject><subject>Cholesterol</subject><subject>Collagen</subject><subject>Collagen (type IV)</subject><subject>Diabetes</subject><subject>Fatty liver</subject><subject>Female</subject><subject>Fibrosis</subject><subject>Gastroenterology</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic polymorphisms</subject><subject>Health risks</subject><subject>Hepatitis</subject><subject>Hepatology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hyaluronic acid</subject><subject>Hypertension</subject><subject>Hypertension - complications</subject><subject>Hypertension - genetics</subject><subject>Laboratories</subject><subject>Lipase - genetics</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Male</subject><subject>Medical research</subject><subject>Medical schools</subject><subject>Medicine and Health Sciences</subject><subject>Membrane Proteins - genetics</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Non-alcoholic Fatty Liver Disease - complications</subject><subject>Non-alcoholic Fatty Liver Disease - diagnosis</subject><subject>Non-alcoholic Fatty Liver Disease - genetics</subject><subject>Non-alcoholic Fatty Liver Disease - pathology</subject><subject>Protein binding</subject><subject>Pulse Wave Analysis</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk groups</subject><subject>Severity of Illness Index</subject><subject>Stiffness</subject><subject>Studies</subject><subject>Type 2 diabetes</subject><subject>Vascular Stiffness - physiology</subject><subject>Virology</subject><subject>Wave velocity</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</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>eNqNk1trFDEUxwdRbK1-A9EBQfRh11xmMtkXoRSrC4WCt9dwJpedlOxkm2RW99ubdadlR_oggSQkv_M_l-QUxUuM5pg2-MONH0IPbr7xvZ4jQirMq0fFKV5QMmME0cdH-5PiWYw3CNWUM_a0OKG4Ibhp0GnhL0EmH2Jpe-MG3Uvbr8o4tNLZ3kpwJaROBx-l2892z5UbSFb3KZa_bOrK1vpN3M02wW91X_Y-xyR9552VpYGUdqWzWx1KZaOGqJ8XTwy4qF-M61nx4_LT94svs6vrz8uL86uZZAuSZqQimnOuAZAiiiNVo5qDaZhaVBoh3BoGi5pXRpmKYoQVqWvKWmOUqhCRQM-K1wfdjfNRjLWKglCceYr5IhPLA6E83IhNsGsIO-HBir8HPqwEhGRz4kKBotAqA4w3lTJNS1pOGWPZLbQG6qz1cfQ2tGutZK5OADcRnd70thMrvxWM57BRkwXejQLB3w46JrG2UWrnoNd-OMRd16ThLKNv_kEfzm6kVpATyI_rs1-5FxXnDNWM86ommZo_QOWh9NrK_LGMzecTg_cTg8wk_TutYIhRLL99_X_2-ueUfXvEdhpc6qJ3Q7K-j1OwOoAyf8cYtLkvMkZi3xd31RD7vhBjX2SzV8cPdG901wj0D3JaC0s</recordid><startdate>20191113</startdate><enddate>20191113</enddate><creator>Arai, Taeang</creator><creator>Atsukawa, Masanori</creator><creator>Tsubota, Akihito</creator><creator>Kawano, Tadamichi</creator><creator>Koeda, Mai</creator><creator>Yoshida, Yuji</creator><creator>Tanabe, Tomohide</creator><creator>Okubo, Tomomi</creator><creator>Hayama, Korenobu</creator><creator>Iwashita, Ai</creator><creator>Itokawa, Norio</creator><creator>Kondo, Chisa</creator><creator>Kaneko, Keiko</creator><creator>Kawamoto, Chiaki</creator><creator>Hatori, Tsutomu</creator><creator>Emoto, Naoya</creator><creator>Iio, Etsuko</creator><creator>Tanaka, Yasuhito</creator><creator>Iwakiri, Katsuhiko</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>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>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>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3374-7111</orcidid></search><sort><creationdate>20191113</creationdate><title>Factors influencing subclinical atherosclerosis in patients with biopsy-proven nonalcoholic fatty liver disease</title><author>Arai, Taeang ; Atsukawa, Masanori ; Tsubota, Akihito ; Kawano, Tadamichi ; Koeda, Mai ; Yoshida, Yuji ; Tanabe, Tomohide ; Okubo, Tomomi ; Hayama, Korenobu ; Iwashita, Ai ; Itokawa, Norio ; Kondo, Chisa ; Kaneko, Keiko ; Kawamoto, Chiaki ; Hatori, Tsutomu ; Emoto, Naoya ; Iio, Etsuko ; Tanaka, Yasuhito ; Iwakiri, Katsuhiko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-242e888eaa0d2d80d5058af76d94e001bf6a9584fdf43101d25536bffdd402ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alcohol use</topic><topic>Analysis</topic><topic>Ankle</topic><topic>Ankle Brachial Index</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - complications</topic><topic>Atherosclerosis - diagnosis</topic><topic>Atherosclerosis - genetics</topic><topic>Atherosclerosis - pathology</topic><topic>Biology and Life Sciences</topic><topic>Biopsy</topic><topic>Blood pressure</topic><topic>Cardiovascular disease</topic><topic>Care and treatment</topic><topic>Cholesterol</topic><topic>Collagen</topic><topic>Collagen (type IV)</topic><topic>Diabetes</topic><topic>Fatty liver</topic><topic>Female</topic><topic>Fibrosis</topic><topic>Gastroenterology</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic polymorphisms</topic><topic>Health risks</topic><topic>Hepatitis</topic><topic>Hepatology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hyaluronic acid</topic><topic>Hypertension</topic><topic>Hypertension - complications</topic><topic>Hypertension - genetics</topic><topic>Laboratories</topic><topic>Lipase - genetics</topic><topic>Liver</topic><topic>Liver diseases</topic><topic>Male</topic><topic>Medical research</topic><topic>Medical schools</topic><topic>Medicine and Health Sciences</topic><topic>Membrane Proteins - genetics</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Non-alcoholic Fatty Liver Disease - complications</topic><topic>Non-alcoholic Fatty Liver Disease - diagnosis</topic><topic>Non-alcoholic Fatty Liver Disease - genetics</topic><topic>Non-alcoholic Fatty Liver Disease - pathology</topic><topic>Protein binding</topic><topic>Pulse Wave Analysis</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk groups</topic><topic>Severity of Illness Index</topic><topic>Stiffness</topic><topic>Studies</topic><topic>Type 2 diabetes</topic><topic>Vascular Stiffness - physiology</topic><topic>Virology</topic><topic>Wave velocity</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arai, Taeang</creatorcontrib><creatorcontrib>Atsukawa, Masanori</creatorcontrib><creatorcontrib>Tsubota, Akihito</creatorcontrib><creatorcontrib>Kawano, Tadamichi</creatorcontrib><creatorcontrib>Koeda, Mai</creatorcontrib><creatorcontrib>Yoshida, Yuji</creatorcontrib><creatorcontrib>Tanabe, Tomohide</creatorcontrib><creatorcontrib>Okubo, Tomomi</creatorcontrib><creatorcontrib>Hayama, Korenobu</creatorcontrib><creatorcontrib>Iwashita, Ai</creatorcontrib><creatorcontrib>Itokawa, Norio</creatorcontrib><creatorcontrib>Kondo, Chisa</creatorcontrib><creatorcontrib>Kaneko, Keiko</creatorcontrib><creatorcontrib>Kawamoto, Chiaki</creatorcontrib><creatorcontrib>Hatori, Tsutomu</creatorcontrib><creatorcontrib>Emoto, Naoya</creatorcontrib><creatorcontrib>Iio, Etsuko</creatorcontrib><creatorcontrib>Tanaka, Yasuhito</creatorcontrib><creatorcontrib>Iwakiri, Katsuhiko</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><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 Edition)</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>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 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>Biological Science Database</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>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</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>Arai, Taeang</au><au>Atsukawa, Masanori</au><au>Tsubota, Akihito</au><au>Kawano, Tadamichi</au><au>Koeda, Mai</au><au>Yoshida, Yuji</au><au>Tanabe, Tomohide</au><au>Okubo, Tomomi</au><au>Hayama, Korenobu</au><au>Iwashita, Ai</au><au>Itokawa, Norio</au><au>Kondo, Chisa</au><au>Kaneko, Keiko</au><au>Kawamoto, Chiaki</au><au>Hatori, Tsutomu</au><au>Emoto, Naoya</au><au>Iio, Etsuko</au><au>Tanaka, Yasuhito</au><au>Iwakiri, Katsuhiko</au><au>Huang, Jee-Fu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors influencing subclinical atherosclerosis in patients with biopsy-proven nonalcoholic fatty liver disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-11-13</date><risdate>2019</risdate><volume>14</volume><issue>11</issue><spage>e0224184</spage><epage>e0224184</epage><pages>e0224184-e0224184</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Although the presence of nonalcoholic fatty liver disease (NAFLD) is known to be related to subclinical atherosclerosis, the relationship between the severity of NAFLD and subclinical atherosclerosis is not clear. This study aimed to clarify the factors related to subclinical arteriosclerosis, including the histopathological severity of the disease and PNPLA3 gene polymorphisms, in NAFLD patients. We measured brachial-ankle pulse wave velocity (baPWV) as an index of arterial stiffness in 153 biopsy-proven NAFLD patients. The baPWV values were significantly higher in the advanced fibrosis group than in the less advanced group (median, 1679 cm/s vs 1489 cm/s; p = 5.49×10-4). Multiple logistic regression analysis revealed that older age (≥55 years) (p = 8.57×10-3; OR = 3.03), hypertension (p = 1.05×10-3; OR = 3.46), and advanced fibrosis (p = 9.22×10-3; OR = 2.94) were independently linked to baPWV ≥1600 cm/s. NAFLD patients were categorized into low-risk group (number of risk factors = 0), intermediate-risk group (= 1), and high-risk group (≥2) based on their risk factors, including older age, hypertension, and biopsy-confirmed advanced fibrosis. The prevalence of baPWV ≥1600 cm/s was 7.1% (3/42) in the low-risk group, 30.8% (12/39) in the intermediate-risk group, and 63.9% (46/72) in the high-risk group. Non-invasive liver fibrosis markers and scores, including the FIB-4 index, NAFLD fibrosis score, hyaluronic acid, Wisteria floribunda agglutinin positive Mac-2-binding protein, and type IV collagen 7s, were feasible substitutes for invasive liver biopsy. Older age, hypertension, and advanced fibrosis are independently related to arterial stiffness, and a combination of these three factors may predict risk of arteriosclerosis in NAFLD patients.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31721770</pmid><doi>10.1371/journal.pone.0224184</doi><tpages>e0224184</tpages><orcidid>https://orcid.org/0000-0003-3374-7111</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2019-11, Vol.14 (11), p.e0224184-e0224184 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2314313189 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adult Age Age Factors Aged Aged, 80 and over Alcohol use Analysis Ankle Ankle Brachial Index Arteriosclerosis Atherosclerosis Atherosclerosis - complications Atherosclerosis - diagnosis Atherosclerosis - genetics Atherosclerosis - pathology Biology and Life Sciences Biopsy Blood pressure Cardiovascular disease Care and treatment Cholesterol Collagen Collagen (type IV) Diabetes Fatty liver Female Fibrosis Gastroenterology Genes Genetic aspects Genetic polymorphisms Health risks Hepatitis Hepatology Hospitals Humans Hyaluronic acid Hypertension Hypertension - complications Hypertension - genetics Laboratories Lipase - genetics Liver Liver diseases Male Medical research Medical schools Medicine and Health Sciences Membrane Proteins - genetics Metabolism Middle Aged Non-alcoholic Fatty Liver Disease - complications Non-alcoholic Fatty Liver Disease - diagnosis Non-alcoholic Fatty Liver Disease - genetics Non-alcoholic Fatty Liver Disease - pathology Protein binding Pulse Wave Analysis Regression analysis Risk analysis Risk Factors Risk groups Severity of Illness Index Stiffness Studies Type 2 diabetes Vascular Stiffness - physiology Virology Wave velocity Young Adult |
| title | Factors influencing subclinical atherosclerosis in patients with biopsy-proven nonalcoholic fatty liver disease |
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