| Literature DB >> 26856933 |
Jonathan M Hazlehurst1, Conor Woods1, Thomas Marjot2, Jeremy F Cobbold2, Jeremy W Tomlinson3.
Abstract
Non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2DM) are common conditions that regularly co-exist and can act synergistically to drive adverse outcomes. The presence of both NAFLD and T2DM increases the likelihood of the development of complications of diabetes (including both macro- and micro- vascular complications) as well as augmenting the risk of more severe NAFLD, including cirrhosis, hepatocellular carcinoma and death. The mainstay of NAFLD management is currently to reduce modifiable metabolic risk. Achieving good glycaemic control and optimising weight loss are pivotal to restricting disease progression. Once cirrhosis has developed, it is necessary to screen for complications and minimise the risk of hepatic decompensation. Therapeutic disease modifying options for patients with NAFLD are currently limited. When diabetes and NAFLD co-exist, there are published data that can help inform the clinician as to the most appropriate oral hypoglycaemic agent or injectable therapy that may improve NAFLD, however most of these data are drawn from observations in retrospective series and there is a paucity of well-designed randomised double blind placebo controlled studies with gold-standard end-points. Furthermore, given the heterogeneity of inclusion criteria and primary outcomes, as well as duration of follow-up, it is difficult to draw robust conclusions that are applicable across the entire spectrum of NAFLD and diabetes. In this review, we have summarised and critically evaluated the available data, with the aim of helping to inform the reader as to the most pertinent issues when managing patients with co-existent NAFLD and T2DM.Entities:
Keywords: Diabetes; Diabetes complications; Insulin resistance; NAFLD; NASH
Mesh:
Year: 2016 PMID: 26856933 PMCID: PMC4943559 DOI: 10.1016/j.metabol.2016.01.001
Source DB: PubMed Journal: Metabolism ISSN: 0026-0495 Impact factor: 8.694
The risk of developing diabetes in individuals with NAFLD.
| Reference | Country | Population | NAFLD assessment | Duration follow up | T2DM risk | Method for diagnosis of T2DM | Adjusted for |
|---|---|---|---|---|---|---|---|
| Shibata et al. 2007 | Japan | 3189 | US | 4 | 5.5 HR | FPG + OGTT | Age, BMI |
| Kim et al. 2008 | Korea | 5372 | US | 5 | 1.51 RR | Treatment, FPG, history | Age, gender, ETOH, smoking, BMI, TGs, HDL-c, FPG, ALT, USonographer |
| Adams et al. 2009 | Australia | 358 | ALT | 11 | NS | FPG, self-reporting | |
| Balkau et al. 2010 | France | 863 | FLI < 20 | 9 | Men: 4.71 OR | FPG, treatment | Age, ETOH, glucose, insulin, physical activity, smoking, FH Diabetes, BP |
| Yamada et al. 2010 | Japan | 12,375 | US | 5 | 1.91 OR men | FPG | Age, BMI, BP, ETOH |
| Sung et al. 2011 | Korea | 11,091 | US | 5 | 2.05 OR | FPG | Age, gender, BMI, ETOH, education, smoking, activity, FPG |
| Bae et al. 2011 | Korea | 8849 | US | 4 | 1.33 HR | FPG, medications | Age, gender, BMI, TG, HDL-C, BP, IFG, smoking, activity, ETOH |
| Chon et al. 2012 | Korea | 1161 | US | 4 | 7.63 OR | FPG or HbA1c | Age, BMI |
| Sung 2012 | Korea | 12,853 | US | 5 | 2.42 OR | FPG | Age, gender, education, smoking, activity, ETOH, ALT, TGs |
| Choi JH 2013 | Korea | 7849 | US | 5 | ALT 1.2 HR (NS) | FPG, HbA1c | Age, gender, activity, smoking, ETOH, BMI, TG, HDL-C, BP, IFG, |
| Kotronen et al. 2013 | Finland | 4512 | FLS | 15 | 3.81 RR | treatment | Age, gender, BMI, smoking, activity, TGs, BP, HDL-c |
| Park et al. 2013 | Korea | 25,232 | US | 5 | Mild 1.09 HR | FPG, HbA1c | Age, WC, TGs, HDL-C, BP, CRP, HOMA-IR, creatinine, FH diabetes, Exercise, MetS (IDFTF) |
| Zelber-Sagi et al. 2013 | Israel | 141 | US | 7 | 2.93 OR | PreDM: FPG or HbA1c | Age, gender, BMI, FH diabetes, baseline insulin, adiponectin and glucose |
| Ming et al. 2015 | China | 508 | US | 5 | 4.462 RR | OGTT | Age, gender, Education, ETOH, BMI, FH Diabetes, BP, fasting glucose, 2 h glucose, TG, LPL |
| Jager et al. 2015 | Germany | 487 | FLI < 30 | 10 | 17.6 HR | Self reporting, medications, medical records | Age, Education, Activity of occupation, smoking, Activity of leisure, ETOH, Intake of coffee, red meat, whole-grain |
NAFLD; normal = not NAFLD; US = ultrasound; FLI = fatty liver index; FLS = fatty liver score; HR = hazard ratio; OR = odds ration; T2DM = type 2 diabetes mellitus; FPG = fasting plasma glucose; OGTT = oral glucose tolerance test; BMI = body mass index; ETOH = alcohol consumption; TGs = triglycerides; HDL-c = high-density lipoprotein cholesterol; ALT = alanine transaminase; USonogapher = Sonographer performing the ultrasound; FH diabetes = family history of diabetes; BP = hypertension; IFG = impaired fasting glucose; HbA1c = glycosylated haemoglobin; MetS (IDDF) = metabolic syndrome as defined by IDDF; LPL = lipoprotein lipase.
Only male participants.