{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:57:18Z","timestamp":1781888238262,"version":"3.54.5"},"reference-count":49,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001691","name":"japan society for the promotion of science","doi-asserted-by":"publisher","award":["22K17386"],"award-info":[{"award-number":["22K17386"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"crossref","award":["JPMJCE1302, JPMJCA2201, JPMJPF2210"],"award-info":[{"award-number":["JPMJCE1302, JPMJCA2201, JPMJPF2210"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Sage Open Aging"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>This study aimed to investigate the factors involved in the development and progression of metabolic dysfunction-associated fatty liver disease (MASLD) in older adults from various aspects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Among general residents aged \u226560\u2009years who participated in a health checkup project, 124 individuals in a normal group and 77 in an MASLD group were targeted in this study. Differences in nutrient intake, MASLD-related single nucleotide polymorphisms (SNPs), and oral and gut microbiota between the normal and MASLD groups were investigated. Furthermore, multivariate analysis was conducted to determine which cardiometabolic criteria were associated with the identified variables.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Result:<\/jats:title>\n                    <jats:p>\n                      The MASLD group had increased oral\n                      <jats:italic toggle=\"yes\">Veillonella<\/jats:italic>\n                      and\n                      <jats:italic toggle=\"yes\">Megasphaera<\/jats:italic>\n                      and decreased gut\n                      <jats:italic toggle=\"yes\">Blautia<\/jats:italic>\n                      . Oral\n                      <jats:italic toggle=\"yes\">Veillonella<\/jats:italic>\n                      and\n                      <jats:italic toggle=\"yes\">Magasphaera<\/jats:italic>\n                      were positively associated with body mass index (BMI), waist circumference, and systolic blood pressure. Gut\n                      <jats:italic toggle=\"yes\">Blautia<\/jats:italic>\n                      negatively correlated with BMI, waist circumference, fasting blood sugar, HbA1c, triglycerides, and positively correlated with high-density lipoprotein cholesterol. However, no association was observed between nutritional intake and SNPs.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Because oral and gut microbiota are strongly involved in MASLD in older individuals, improving oral hygiene and probiotics may prevent the onset and progression of MASLD by improving the oral and gut environment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/30495334261458922","type":"journal-article","created":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T04:21:36Z","timestamp":1781670096000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Effect of Oral and Gut Microbiota, Dietary Intake, and Genetic Polymorphisms on Older Adults with Metabolic Dysfunction Associated Fatty Liver Disease"],"prefix":"10.1177","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5569-7093","authenticated-orcid":false,"given":"Satoshi","family":"Sato","sequence":"first","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chikara","family":"Iino","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takafumi","family":"Sasada","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keisuke","family":"Furusawa","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenta","family":"Yoshida","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaori","family":"Sawada","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tatsuya","family":"Mikami","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shigeyuki","family":"Nakaji","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hirotake","family":"Sakuraba","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shinsaku","family":"Fukuda","sequence":"additional","affiliation":[{"name":"Hirosaki University Graduate School of Medicine, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,6,16]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"crossref","unstructured":"Anantharaju A. Feller A. Chedid A. (2002). Aging liver. A review. Gerontology 48(6) 343\u2013353. https:\/\/doi.org\/10.1159\/000065506","DOI":"10.1159\/000065506"},{"key":"e_1_3_3_3_1","doi-asserted-by":"crossref","unstructured":"Aranaz P. Ramos-Lopez O. Cuevas-Sierra A. Martinez J. A. Milagro F. I. Riezu-Boj J. I. (2021). A predictive regression model of the obesity-related inflammatory status based on gut microbiota composition. International Journal of Obesity 45(10) 2261\u20132268. https:\/\/doi.org\/10.1038\/s41366-021-00904-4","DOI":"10.1038\/s41366-021-00904-4"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41575-020-0269-9"},{"key":"e_1_3_3_5_1","doi-asserted-by":"crossref","unstructured":"Bertolotti M. Lonardo A. Mussi C. Baldelli E. Pellegrini E. Ballestri S. Romagnoli D. Loria P. (2014). Nonalcoholic fatty liver disease and aging: epidemiology to management. World Journal of Gastroenterology 20(39) 14185\u201314204. https:\/\/doi.org\/10.3748\/wjg.v20.i39.14185","DOI":"10.3748\/wjg.v20.i39.14185"},{"key":"e_1_3_3_6_1","doi-asserted-by":"crossref","unstructured":"Castillo-N\u00fa\u00f1ez Y. Almeda-Valdes P. Gonz\u00e1lez-G\u00e1lvez G. Arechavaleta-Granell M. D. R. (2024). Metabolic dysfunction-associated steatotic liver disease and atherosclerosis. Current Diabetes Reports 24(7) 158\u2013166. https:\/\/doi.org\/10.1007\/s11892-024-01542-6","DOI":"10.1007\/s11892-024-01542-6"},{"key":"e_1_3_3_7_1","doi-asserted-by":"crossref","unstructured":"Chen B. Y. Lin W. Z. Li Y. L. Bi C. Du L. J. Liu Y. Xu S. Shi C. J. Zhu H. Wang Y. L. Sun J. Y. Liu Y. Zhang W. C. Lu H. X. Wang Y. H. Feng Q. Chen F. X. . . .Duan S. Z. (2023a). Roles of oral microbiota and oral-gut microbial transmission in hypertension. Journal of Advanced Research 43 147\u2013161. https:\/\/doi.org\/10.1016\/j.jare.2022.03.007","DOI":"10.1016\/j.jare.2022.03.007"},{"key":"e_1_3_3_8_1","doi-asserted-by":"crossref","unstructured":"Chen T. P. Yu H. C. Lin W. Y. Chang Y. C. (2023b). The role of microbiome in the pathogenesis of oral-gut-liver axis between periodontitis and nonalcoholic fatty liver disease. Journal of Dental Sciences 18(3) 972\u2013975. https:\/\/doi.org\/10.1016\/j.jds.2023.03.012","DOI":"10.1016\/j.jds.2023.03.012"},{"key":"e_1_3_3_9_1","doi-asserted-by":"crossref","unstructured":"Dong H. Wang J. Li C. Hirose A. Nozaki Y. Takahashi M. Ono M. Akisawa N. Iwasaki S. Saibara T. Onishi S. (2007). The phosphatidylethanolamine N-methyltransferase gene V175M single nucleotide polymorphism confers the susceptibility to NASH in Japanese population. Journal of Hepatology 46(5) 915\u2013920. https:\/\/doi.org\/10.1016\/j.jhep.2006.12.012","DOI":"10.1016\/j.jhep.2006.12.012"},{"key":"e_1_3_3_10_1","doi-asserted-by":"crossref","unstructured":"Dong M. H. Bettencourt R. Brenner D. A. Barrett-Connor E. Loomba R. (2012). Serum levels of alanine aminotransferase decrease with age in longitudinal analysis. Clinical Gastroenterology and Hepatology 10(3) 285\u2013290.e281. https:\/\/doi.org\/10.1016\/j.cgh.2011.10.014","DOI":"10.1016\/j.cgh.2011.10.014"},{"key":"e_1_3_3_11_1","doi-asserted-by":"crossref","unstructured":"Dongiovanni P. Valenti L. (2016). Genetics of nonalcoholic fatty liver disease. Metabolism 65(8) 1026\u20131037. https:\/\/doi.org\/10.1016\/j.metabol.2015.08.018","DOI":"10.1016\/j.metabol.2015.08.018"},{"key":"e_1_3_3_12_1","doi-asserted-by":"crossref","unstructured":"Frith J. Jones D. Newton J. L. (2009). Chronic liver disease in an ageing population. Age and Ageing 38(1) 11\u201318. https:\/\/doi.org\/10.1093\/ageing\/afn242","DOI":"10.1093\/ageing\/afn242"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v23.i17.3150"},{"key":"e_1_3_3_14_1","doi-asserted-by":"crossref","unstructured":"Ghosh T. S. Shanahan F. O\u2019Toole P. W. (2022). The gut microbiome as a modulator of healthy ageing. Nature Reviews Gastroenterology & Hepatology 19(9) 565\u2013584. https:\/\/doi.org\/10.1038\/s41575-022-00605-x","DOI":"10.1038\/s41575-022-00605-x"},{"key":"e_1_3_3_15_1","doi-asserted-by":"crossref","unstructured":"Hoozemans J. de Brauw M. Nieuwdorp M. Gerdes V. (2021). Gut microbiome and metabolites in patients with NAFLD and after bariatric surgery: A comprehensive review. Metabolites 11(6). https:\/\/doi.org\/10.3390\/metabo11060353","DOI":"10.3390\/metabo11060353"},{"key":"e_1_3_3_16_1","doi-asserted-by":"crossref","unstructured":"Hotta K. Yoneda M. Hyogo H. Ochi H. Mizusawa S. Ueno T. Chayama K. Nakajima A. Sekine A. Yasuda K. Hishida A. Kim Y. Inoue H. Sakaida I. Yoshida T. Kamatani N. Nakamura Y. Tanaka T. (2010). Association of the rs738409 polymorphism in PNPLA3 with liver damage and the development of nonalcoholic fatty liver disease. BMC Medical Genetics 11 172. https:\/\/doi.org\/10.1186\/1471-2350-11-172","DOI":"10.1186\/1471-2350-11-172"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/microorganisms9050957"},{"key":"e_1_3_3_18_1","doi-asserted-by":"crossref","unstructured":"Karlas T. Petroff D. Sasso M. Fan J.-G. Mi Y.-Q. de L\u00e9dinghen V. Kumar M. Lupsor-Platon M. Han K.-H. Cardoso A. C. Ferraioli G. Chan W.-K. Wong V. W.-S. Myers R. P. Chayama K. Friedrich-Rust M. Beaugrand M. Shen F. Hiriart J.-B. . . .Wiegand J. (2017). Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. Journal of Hepatology 66(5) 1022\u20131030. https:\/\/doi.org\/10.1016\/j.jhep.2016.12.022","DOI":"10.1016\/j.jhep.2016.12.022"},{"key":"e_1_3_3_19_1","doi-asserted-by":"crossref","unstructured":"Kawaguchi T. Shima T. Mizuno M. Mitsumoto Y. Umemura A. Kanbara Y. Tanaka S. Sumida Y. Yasui K. Takahashi M. Matsuo K. Itoh Y. Tokushige K. Hashimoto E. Kiyosawa K. Kawaguchi M. Itoh H. Uto H. Komorizono Y. . . .Okanoue T. (2018). Risk estimation model for nonalcoholic fatty liver disease in the Japanese using multiple genetic markers. PLoS One 13(1) e0185490. https:\/\/doi.org\/10.1371\/journal.pone.0185490","DOI":"10.1371\/journal.pone.0185490"},{"key":"e_1_3_3_20_1","doi-asserted-by":"crossref","unstructured":"Kawaguchi T. Sumida Y. Umemura A. Matsuo K. Takahashi M. Takamura T. Tanaka S. Sumie S. Yasui K. Takahashi M. Matsuo K. Takamura T. Kaneko S. Kawanaka M. Okanoue T. Sata M. (2012). Genetic polymorphisms of the human PNPLA3 gene are strongly associated with severity of non-alcoholic fatty liver disease in Japanese. PLoS One 7(6) e38322. https:\/\/doi.org\/10.1371\/journal.pone.0038322","DOI":"10.1371\/journal.pone.0038322"},{"key":"e_1_3_3_21_1","doi-asserted-by":"crossref","unstructured":"Kawai Y. Mimori T. Kojima K. Nariai N. Danjoh I. Saito R. Yasuda J. Yamamoto M. Nagasaki M. (2015). Japonica array: improved genotype imputation by designing a population-specific SNP array with 1070 Japanese individuals. Journal of Human Genetics 60(10) 581\u2013587. https:\/\/doi.org\/10.1038\/jhg.2015.68","DOI":"10.1038\/jhg.2015.68"},{"key":"e_1_3_3_22_1","doi-asserted-by":"crossref","unstructured":"Kazarina A. Kuzmicka J. Bortkevica S. Zayakin P. Kimsis J. Igumnova V. Sadovska D. Freimane L. Kivrane A. Namina A. Capligina V. Poksane A. Ranka R. (2023). Oral microbiome variations related to ageing: possible implications beyond oral health. Archives of Microbiology 205(4) 116. https:\/\/doi.org\/10.1007\/s00203-023-03464-5","DOI":"10.1007\/s00203-023-03464-5"},{"key":"e_1_3_3_23_1","doi-asserted-by":"crossref","unstructured":"Kitamoto T. Kitamoto A. Yoneda M. Hyogo H. Ochi H. Nakamura T. Teranishi H. Mizusawa S. Ueno T. Chayama K. Nakajima A. Kawaguchi T. Arihiro K. Itoh Y. Sakaida I. Hashimoto E. Kamatani N. Nakamura Y. Tanaka T. (2013). Genome-wide scan revealed that polymorphisms in the PNPLA3 SAMM50 and PARVB genes are associated with development and progression of nonalcoholic fatty liver disease in Japan. Human Genetics 132(7) 783\u2013792. https:\/\/doi.org\/10.1007\/s00439-013-1294-3","DOI":"10.1007\/s00439-013-1294-3"},{"key":"e_1_3_3_24_1","doi-asserted-by":"crossref","unstructured":"Kotronen A. Johansson L. E. Johansson L. M. Roos C. Westerbacka J. Hamsten A. Bergholm R. Arkkila P. Arola J. Yki-J\u00e4rvinen H. (2009). A common variant in PNPLA3 which encodes adiponutrin is associated with liver fat content in humans. Diabetologia 52(6) 1056\u20131060. https:\/\/doi.org\/10.1007\/s00125-009-1285-z","DOI":"10.1007\/s00125-009-1285-z"},{"key":"e_1_3_3_25_1","doi-asserted-by":"crossref","unstructured":"Leite N. C. Villela-Nogueira C. A. Cardoso C. R. Salles G. F. (2014). Non-alcoholic fatty liver disease and diabetes: from physiopathological interplay to diagnosis and treatment. World Journal of Gastroenterology 20(26) 8377\u20138392. https:\/\/doi.org\/10.3748\/wjg.v20.i26.8377","DOI":"10.3748\/wjg.v20.i26.8377"},{"key":"e_1_3_3_26_1","doi-asserted-by":"crossref","unstructured":"Li J. Zhao Y. Zhang H. Hua W. Jiao W. Du X. Du X. Deng X. Guan H. (2021). Contribution of Rs780094 and Rs1260326 Polymorphisms in GCKR Gene to Non-alcoholic Fatty Liver Disease: A Meta-Analysis Involving 26 552 Participants. Endocrine Metabolic & Immune Disorders \u2013 Drug Targets 21(9) 1696\u20131708. https:\/\/doi.org\/10.2174\/1871530320999201126202706","DOI":"10.2174\/1871530320999201126202706"},{"key":"e_1_3_3_27_1","doi-asserted-by":"crossref","unstructured":"Liu Y. Lu L. L. Yuan D. X. Geng N. Xuan S. Y. Xin Y. N. (2016). AGTR1 rs3772622 gene polymorphism increase the risk of nonalcoholic fatty liver disease patients suffer coronary artery disease in Northern Chinese Han population. Lipids in Health and Disease 15 113. https:\/\/doi.org\/10.1186\/s12944-016-0279-3","DOI":"10.1186\/s12944-016-0279-3"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1099\/ijs.0.013102-0"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.3390\/nu15051175"},{"key":"e_1_3_3_30_1","doi-asserted-by":"crossref","unstructured":"Mei E. H. Yao C. Chen Y. N. Nan S. X. Qi S. C. (2024). Multifunctional role of oral bacteria in the progression of non-alcoholic fatty liver disease. World Journal of Hepatology 16(5) 688\u2013702. https:\/\/doi.org\/10.4254\/wjh.v16.i5.688","DOI":"10.4254\/wjh.v16.i5.688"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms9018"},{"key":"e_1_3_3_32_1","doi-asserted-by":"crossref","unstructured":"Nakaji S. Ihara K. Sawada K. Parodi S. Umeda T. Takahashi I. Kagawa Y. Otsuka K. (2021). Social innovation for life expectancy extension utilizing a platform-centered system used in the Iwaki health promotion project: A protocol paper. SAGE Open Medicine 9 20503121211002606. https:\/\/doi.org\/10.1177\/20503121211002606","DOI":"10.1177\/20503121211002606"},{"key":"e_1_3_3_33_1","doi-asserted-by":"crossref","unstructured":"Oh T. G. Kim S. M. Caussy C. Fu T. Guo J. Bassirian S. Singh S. Desai M. S. Easton J. F. Herman M. A. Lang S. Ferrell L. D. Unalp-Arida A. Loomba R. Shah V. H. (2020). A universal gut-microbiome-derived signature predicts cirrhosis. Cell Metabolism 32(5) 901. https:\/\/doi.org\/10.1016\/j.cmet.2020.10.015","DOI":"10.1016\/j.cmet.2020.10.015"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41522-019-0101-x"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2468-1253(22)00165-0"},{"key":"e_1_3_3_36_1","doi-asserted-by":"crossref","unstructured":"Rinella M. E. Lazarus J. V. Ratziu V. Francque S. M. Sanyal A. J. Kanwal F. Romero D. Abdelmalek M. F. Anstee Q. M. Arab J. P. Arrese M. Auerbach A. Bellentani S. Caballeria L. Cortez-Pinto H. Crespo J. Cusi K. Fan J.-G. Gawrieh S. . . .Younossi Z. M. (2023). A multisociety Delphi consensus statement on new fatty liver disease nomenclature. Hepatology 78(6) 1966\u20131986. https:\/\/doi.org\/10.1097\/hep.0000000000000520","DOI":"10.1097\/HEP.0000000000000520"},{"key":"e_1_3_3_37_1","doi-asserted-by":"crossref","unstructured":"Rognes T. Flouri T. Nichols B. Quince C. Mah\u00e9 F. (2016). VSEARCH: A versatile open source tool for metagenomics. PeerJ 4 e2584. https:\/\/doi.org\/10.7717\/peerj.2584","DOI":"10.7717\/peerj.2584"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1038\/ng.257"},{"key":"e_1_3_3_39_1","doi-asserted-by":"crossref","unstructured":"Sasaki S. Yanagibori R. Amano K. (1998). Self-administered diet history questionnaire developed for health education: A relative validation of the test-version by comparison with 3-day diet record in women. Journal of Epidemiology 8(4) 203\u2013215. https:\/\/doi.org\/10.2188\/jea.8.203","DOI":"10.2188\/jea.8.203"},{"key":"e_1_3_3_40_1","doi-asserted-by":"crossref","unstructured":"Segata N. Izard J. Waldron L. Gevers D. Miropolsky L. Garrett W. S. Huttenhower C. (2011). Metagenomic biomarker discovery and explanation. Genome Biology 12(6) R60. https:\/\/doi.org\/10.1186\/gb-2011-12-6-r60","DOI":"10.1186\/gb-2011-12-6-r60"},{"key":"e_1_3_3_41_1","doi-asserted-by":"crossref","unstructured":"Shibata M. Ozato N. Tsuda H. Mori K. Kinoshita K. Katashima M. Saito S. Sawada K. Katsuragi Y. Ihara K. (2023). Mouse model of anti-obesity effects of Blautia hansenii on diet-induced obesity. Current Issues in Molecular Biology 45(9) 7147\u20137160. https:\/\/doi.org\/10.3390\/cimb45090452","DOI":"10.3390\/cimb45090452"},{"key":"e_1_3_3_42_1","doi-asserted-by":"crossref","unstructured":"Singh P. Goode T. Dean A. Awad S. S. Darlington G. J. (2011). Elevated interferon gamma signaling contributes to impaired regeneration in the aged liver. The Journals of Gerontology: Series A: Biological Sciences and Medical Sciences 66(9) 944\u2013956. https:\/\/doi.org\/10.1093\/gerona\/glr094","DOI":"10.1093\/gerona\/glr094"},{"key":"e_1_3_3_43_1","doi-asserted-by":"crossref","unstructured":"Speliotes E. K. Yerges-Armstrong L. M. Wu J. Hernaez R. Kim L. J. Palmer C. D. Gudnason V. Eiriksdottir G. Garcia M. E. Launer L. J. Nalls M. A. Clark J. M. Mitchell B. D. Shuldiner A. R. Butler J. L. Tomas M. Hoffmann U. Hwang S.-J. Massaro J. M. . . .GOLD Consortium. (2011). Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits. PLoS Genetics 7(3) e1001324. https:\/\/doi.org\/10.1371\/journal.pgen.1001324","DOI":"10.1371\/journal.pgen.1001324"},{"key":"e_1_3_3_44_1","doi-asserted-by":"crossref","unstructured":"Takahashi S. Tomita J. Nishioka K. Hisada T. Nishijima M. (2014). Development of a prokaryotic universal primer for simultaneous analysis of bacteria and archaea using next-generation sequencing. PLoS One 9(8) e105592. https:\/\/doi.org\/10.1371\/journal.pone.0105592","DOI":"10.1371\/journal.pone.0105592"},{"key":"e_1_3_3_45_1","doi-asserted-by":"crossref","unstructured":"Tong M. Wang F. (2020). APOC3rs2854116 PNPLA3rs738409 and TM6SF2rs58542926 polymorphisms might influence predisposition of NAFLD: A meta-analysis. IUBMB Life 72(8) 1757\u20131764. https:\/\/doi.org\/10.1002\/iub.2302","DOI":"10.1002\/iub.2302"},{"key":"e_1_3_3_46_1","doi-asserted-by":"crossref","unstructured":"Wang B. F. Wang Y. Ao R. Tong J. Wang B. Y. (2016). AdipoQ T45 G and G276 T Polymorphisms and susceptibility to nonalcoholic fatty liver disease among Asian populations: A meta-analysis and meta-regression. Journal of Clinical Laboratory Analysis 30(1) 47\u201357. https:\/\/doi.org\/10.1002\/jcla.21814","DOI":"10.1002\/jcla.21814"},{"key":"e_1_3_3_47_1","doi-asserted-by":"crossref","unstructured":"Wang Q. Garrity G. M. Tiedje J. M. Cole J. R. (2007). Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Applied and Environmental Microbiology 73(16) 5261\u20135267. https:\/\/doi.org\/10.1128\/aem.00062-07","DOI":"10.1128\/AEM.00062-07"},{"key":"e_1_3_3_48_1","doi-asserted-by":"crossref","unstructured":"Xu Y. Bi Y. F. Xu M. Huang Y. Lu W. Y. Gu Y. F. Chen Y. M. Li X. Y. Ning G. Li M. (2011). Cross-sectional and longitudinal association of serum alanine aminotransaminase and \u03b3-glutamyltransferase with metabolic syndrome in middle-aged and elderly Chinese people. Journal of Diabetes 3(1) 38\u201347. https:\/\/doi.org\/10.1111\/j.1753-0407.2010.00111.x","DOI":"10.1111\/j.1753-0407.2010.00111.x"},{"key":"e_1_3_3_49_1","doi-asserted-by":"publisher","DOI":"10.3389\/fcimb.2023.1294826"},{"key":"e_1_3_3_50_1","doi-asserted-by":"crossref","unstructured":"Zhou P. Manoil D. Belibasakis G. N. Kotsakis G. A. (2021). Veillonellae: Beyond bridging species in oral biofilm ecology. Frontiers in Oral Health 2 774115. https:\/\/doi.org\/10.3389\/froh.2021.774115","DOI":"10.3389\/froh.2021.774115"}],"container-title":["Sage Open Aging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/30495334261458922","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/30495334261458922","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/30495334261458922","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:46:25Z","timestamp":1781887585000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/30495334261458922"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":49,"alternative-id":["10.1177\/30495334261458922"],"URL":"https:\/\/doi.org\/10.1177\/30495334261458922","relation":{},"ISSN":["3049-5334","3049-5334"],"issn-type":[{"value":"3049-5334","type":"print"},{"value":"3049-5334","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]},"article-number":"30495334261458922"}}