PMID- 34916558 OWN - NLM STAT- MEDLINE DCOM- 20220126 LR - 20240404 IS - 2045-2322 (Electronic) IS - 2045-2322 (Linking) VI - 11 IP - 1 DP - 2021 Dec 16 TI - A family history of type 2 diabetes as a predictor of fatty liver disease in diabetes-free individuals with excessive body weight. PG - 24084 LID - 10.1038/s41598-021-03583-3 [doi] LID - 24084 AB - Comprehensive screening for non-alcoholic fatty liver disease (NAFLD) may help prompt clinical management of fatty liver disease. A family history, especially of diabetes, has been little studied as a predictor for NAFLD. We characterized the cross-sectional relationship between a family history of type 2 diabetes (FHT2D) and NAFLD probability in 1185 diabetes-free Apulian (Southern-Italy) subjects aged > 20 years with overweight or obesity not receiving any drug or supplementation. Clinical data and routine biochemistry were analysed. NAFLD probability was defined using the fatty liver index (FLI). A first-degree FHT2D was assessed by interviewing subjects and assigning a score of 0, 1, or 2 if none, only one, or both parents were affected by type 2 diabetes mellitus (T2DM). Our study population featured most females (70.9%, N = 840), and 48.4% (N = 574) of the sample had first-degree FHT2D. After dividing the sample by a FHT2D, we found a higher BMI, Waist Circumference (WC), and diastolic blood pressure shared by FHT2D subjects; they also showed altered key markers of glucose homeostasis, higher triglyceride levels, and worse liver function. FLI scores were significantly lower in subjects without a first-degree FHT2D. After running logistic regression models, a FHT2D was significantly associated with the NAFLD probability, even adjusting for major confounders and stratifying by age (under and over 40 years of age). A FHT2D led to an almost twofold higher probability of NAFLD, regardless of confounding factors (OR 2.17, 95% CI 1.63 to 2.89). A first-degree FHT2D acts as an independent determinant of NAFLD in excess weight phenotypes, regardless of the age group (younger or older than 40 years). A NAFLD risk assessment within multidimensional screening might be useful in excess weight subjects reporting FHT2D even in the absence of diabetes. CI - (c) 2021. The Author(s). FAU - De Pergola, Giovanni AU - De Pergola G AD - Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. giovanni.depergola@irccsdebellis.it. FAU - Castellana, Fabio AU - Castellana F AD - Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - Zupo, Roberta AU - Zupo R AD - Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - De Nucci, Sara AU - De Nucci S AD - Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - Panza, Francesco AU - Panza F AD - Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - Castellana, Marco AU - Castellana M AD - Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - Lampignano, Luisa AU - Lampignano L AD - Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - Di Chito, Martina AU - Di Chito M AD - Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - Triggiani, Vincenzo AU - Triggiani V AD - Section of Internal Medicine, Geriatrics, Endocrinology, and Rare Disease, Interdisciplinary Department of Medicine, School of Medicine, University of Bari, 70124, Bari, Italy. FAU - Sardone, Rodolfo AU - Sardone R AD - Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. FAU - Giannelli, Gianluigi AU - Giannelli G AD - Scientific Direction, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20211216 PL - England TA - Sci Rep JT - Scientific reports JID - 101563288 SB - IM MH - Adult MH - Aged MH - Body Mass Index MH - Cross-Sectional Studies MH - Diabetes Mellitus, Type 2/complications/*genetics MH - Female MH - Forecasting MH - Humans MH - Italy MH - Logistic Models MH - Male MH - *Medical History Taking MH - Middle Aged MH - Non-alcoholic Fatty Liver Disease/*etiology MH - Overweight/*complications MH - Probability MH - Risk Assessment MH - Waist Circumference MH - Young Adult PMC - PMC8677812 COIS- The authors declare no competing interests. EDAT- 2021/12/18 06:00 MHDA- 2022/01/27 06:00 PMCR- 2021/12/16 CRDT- 2021/12/17 06:33 PHST- 2021/06/10 00:00 [received] PHST- 2021/12/06 00:00 [accepted] PHST- 2021/12/17 06:33 [entrez] PHST- 2021/12/18 06:00 [pubmed] PHST- 2022/01/27 06:00 [medline] PHST- 2021/12/16 00:00 [pmc-release] AID - 10.1038/s41598-021-03583-3 [pii] AID - 3583 [pii] AID - 10.1038/s41598-021-03583-3 [doi] PST - epublish SO - Sci Rep. 2021 Dec 16;11(1):24084. doi: 10.1038/s41598-021-03583-3.