1
|
Mori T, Ozawa E, Sasaki R, Shimakura A, Takahashi K, Kido Y, Kanda Y, Matsuo S, Tajima K, Beppu A, Nakao Y, Fukushima M, Haraguchi M, Miuma S, Miyaaki H, Adachi T, Eguchi S, Okano S, Nakao K. Are transmembrane 6 superfamily member 2 gene polymorphisms associated with steatohepatitis after pancreaticoduodenectomy? JGH Open 2024; 8:e13113. [PMID: 38919271 PMCID: PMC11197035 DOI: 10.1002/jgh3.13113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 05/29/2024] [Accepted: 06/09/2024] [Indexed: 06/27/2024]
Abstract
Aim After pancreaticoduodenectomy, 20-40% of patients develop steatotic liver disease (SLD), and steatohepatitis can be a problem. Although patatin-like phospholipase domain-containing 3 protein (PNPLA3) and transmembrane 6 superfamily member 2 (TM6SF2) polymorphisms are involved in SLD and steatohepatitis development, whether this is the case after pancreaticoduodenectomy is unclear. Methods and Results Forty-three patients with pancreatic cancer who underwent pancreaticoduodenectomy at our hospital between April 1, 2018, and March 31, 2021, were included. We extracted DNA from noncancerous areas of residual specimens after pancreaticoduodenectomy and determined PNPLA3 and TM6SF2 gene polymorphisms using real-time polymerase chain reaction. SLD was defined as a liver with an attenuation value of ≤40 HU or a liver-to-spleen ratio of ≤0.9 on computed tomography. We defined high hepatic fibrosis indexes (HFI) instead of steatohepatitis as a Fibrosis-4 index of ≥2.67 or nonalcoholic fatty liver disease fibrosis score of ≥0.675 in patients with SLD. The cumulative incidence of SLD (P = 0.299) and high HFI (P = 0.987) after pancreaticoduodenectomy were not significantly different between the PNPLA3 homozygous and minor allele groups. The incidences of high HFI at 1 year after pancreaticoduodenectomy were 16.8% and 27.0% in the TM6SF2 major homozygous and minor allele groups, respectively, with a significant difference in the cumulative incidence (P = 0.046). Conclusion The TM6SF2 minor allele may contribute to steatohepatitis development after pancreaticoduodenectomy.
Collapse
Affiliation(s)
- Tomotaka Mori
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
- Department of Gastroenterology and HepatologyJapanese Red Cross Nagasaki Genbaku HospitalNagasakiJapan
| | - Eisuke Ozawa
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Ryu Sasaki
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Akane Shimakura
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Kosuke Takahashi
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Yoko Kido
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Yasuko Kanda
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Satoshi Matsuo
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Kazuaki Tajima
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Asami Beppu
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Yasuhiko Nakao
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Masanori Fukushima
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Masafumi Haraguchi
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Satoshi Miuma
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Hisamitsu Miyaaki
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Tomohiko Adachi
- Department of SurgeryNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Susumu Eguchi
- Department of SurgeryNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| | - Shinji Okano
- Department of PathologyNagasaki University HospitalNagasakiJapan
| | - Kazuhiko Nakao
- Department of Gastroenterology and HepatologyNagasaki University Graduate School of Biomedical SciencesNagasakiJapan
| |
Collapse
|
2
|
Liu J, Ginsberg HN, Reyes-Soffer G. Basic and translational evidence supporting the role of TM6SF2 in VLDL metabolism. Curr Opin Lipidol 2024; 35:157-161. [PMID: 38465912 PMCID: PMC11168781 DOI: 10.1097/mol.0000000000000930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
PURPOSE OF REVIEW Transmembrane 6 superfamily member 2 ( TM6SF2 ) gene was identified through exome-wide studies in 2014. A genetic variant from glutamic acid to lysine substitution at amino acid position 167 (NM_001001524.3:c.499G> A) (p.Gln167Lys/p.E167K, rs58542926) was discovered (p.E167K) to be highly associated with increased hepatic fat content and reduced levels of plasma triglycerides and LDL cholesterol. In this review, we focus on the discovery of TM6SF2 and its role in VLDL secretion pathways. Human data suggest TM6SF2 is linked to hepatic steatosis and cardiovascular disease (CVD), hence understanding its metabolic pathways is of high scientific interest. RECENT FINDINGS Since its discovery, completed research studies in cell, rodent and human models have defined the role of TM6SF2 and its links to human disease. TM6SF2 resides in the endoplasmic reticulum (ER) and the ER-Golgi interface and helps with the lipidation of nascent VLDL, the main carrier of triglycerides from the liver to the periphery. Consistent results from cells and rodents indicated that the secretion of triglycerides is reduced in carriers of the p.E167K variant or when hepatic TM6SF2 is deleted. However, data for secretion of APOB, the main protein of VLDL particles responsible for triglycerides transport, are inconsistent. SUMMARY The identification of genetic variants that are highly associated with human disease presentation should be followed by the validation and investigation into the pathways that regulate disease mechanisms. In this review, we highlight the role of TM6SF2 and its role in processing of liver triglycerides.
Collapse
Affiliation(s)
- Jing Liu
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | | | | |
Collapse
|
3
|
Khaznadar F, Petrovic A, Khaznadar O, Roguljic H, Bojanic K, Kuna Roguljic L, Siber S, Smolic R, Bilic-Curcic I, Wu GY, Smolic M. Biomarkers for Assessing Non-Alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus on Sodium-Glucose Cotransporter 2 Inhibitor Therapy. J Clin Med 2023; 12:6561. [PMID: 37892698 PMCID: PMC10607797 DOI: 10.3390/jcm12206561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
In the current modern era of unhealthy lifestyles, non-alcoholic fatty liver disease (NAFLD) is the most prevalent liver disease and has become a serious global health problem. To date, there is no approved pharmacotherapy for the treatment of NAFLD, and necessary lifestyle changes such as weight loss, diet, and exercise are usually not sufficient to manage this disease. Patients with type 2 diabetes mellitus (T2DM) have a significantly higher risk of developing NAFLD and vice versa. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are antidiabetic agents that have recently been approved for two other indications: chronic kidney disease and heart failure in diabetics and non-diabetics. They are also emerging as promising new agents for NAFLD treatment, as they have shown beneficial effects on hepatic inflammation, steatosis, and fibrosis. Studies in animals have reported favorable effects of SGLT2 inhibitors, and studies in patients also found positive effects on body mass index (BMI), insulin resistance, glucose levels, liver enzymes, apoptosis, and transcription factors. There are some theories regarding how SGLT2 inhibitors affect the liver, but the exact mechanism is not yet fully understood. Therefore, biomarkers to evaluate underlying mechanisms of action of SGLT2 inhibitors on the liver have now been scrutinized to assess their potential as a future in-label therapy for NAFLD. In addition, finding suitable non-invasive biomarkers could be helpful in clinical practice for the early detection of NAFLD in patients. This is crucial for a positive disease outcome. The aim of this review is to provide an overview of the most recent findings on the effects of SGLT2 inhibitors on NAFLD biomarkers and the potential of SGLT2 inhibitors to successfully treat NAFLD.
Collapse
Affiliation(s)
- Farah Khaznadar
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
- Faculty of Medicine Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia;
| | - Ana Petrovic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
| | - Omar Khaznadar
- Department of Radiology, “Dr. Juraj Njavro” National Memorial Hospital Vukovar, 32000 Vukovar, Croatia;
| | - Hrvoje Roguljic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
- Faculty of Medicine Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia;
- Clinical Hospital Center, 31000 Osijek, Croatia
| | - Kristina Bojanic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
- Faculty of Medicine Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia;
- Health Center Osijek-Baranja County, 31000 Osijek, Croatia
| | - Lucija Kuna Roguljic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
| | - Stjepan Siber
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
| | - Robert Smolic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
| | - Ines Bilic-Curcic
- Faculty of Medicine Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia;
- Clinical Hospital Center, 31000 Osijek, Croatia
| | - George Y. Wu
- Department of Medicine, Division of Gastrenterology/Hepatology, University of Connecticut Health Center, Farmington, CT 06030, USA;
| | - Martina Smolic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (F.K.); (A.P.); (H.R.); (K.B.); (L.K.R.); (S.S.); (R.S.)
| |
Collapse
|
4
|
Grove JI, Lo PC, Shrine N, Barwell J, Wain LV, Tobin MD, Salter AM, Borkar AN, Cuevas-Ocaña S, Bennett N, John C, Ntalla I, Jones GE, Neal CP, Thomas MG, Kuht H, Gupta P, Vemala VM, Grant A, Adewoye AB, Shenoy KT, Balakumaran LK, Hollox EJ, Hannan NR, Aithal GP. Identification and characterisation of a rare MTTP variant underlying hereditary non-alcoholic fatty liver disease. JHEP Rep 2023; 5:100764. [PMID: 37484212 PMCID: PMC10362796 DOI: 10.1016/j.jhepr.2023.100764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/28/2023] [Accepted: 04/11/2023] [Indexed: 07/25/2023] Open
Abstract
Background & Aims Non-alcoholic fatty liver disease (NAFLD) is a complex trait with an estimated prevalence of 25% globally. We aimed to identify the genetic variant underlying a four-generation family with progressive NAFLD leading to cirrhosis, decompensation, and development of hepatocellular carcinoma in the absence of common risk factors such as obesity and type 2 diabetes. Methods Exome sequencing and genome comparisons were used to identify the likely causal variant. We extensively characterised the clinical phenotype and post-prandial metabolic responses of family members with the identified novel variant in comparison with healthy non-carriers and wild-type patients with NAFLD. Variant-expressing hepatocyte-like cells (HLCs) were derived from human-induced pluripotent stem cells generated from homozygous donor skin fibroblasts and restored to wild-type using CRISPR-Cas9. The phenotype was assessed using imaging, targeted RNA analysis, and molecular expression arrays. Results We identified a rare causal variant c.1691T>C p.I564T (rs745447480) in MTTP, encoding microsomal triglyceride transfer protein (MTP), associated with progressive NAFLD, unrelated to metabolic syndrome and without characteristic features of abetalipoproteinaemia. HLCs derived from a homozygote donor had significantly lower MTP activity and lower lipoprotein ApoB secretion than wild-type cells, while having similar levels of MTP mRNA and protein. Cytoplasmic triglyceride accumulation in HLCs triggered endoplasmic reticulum stress, secretion of pro-inflammatory mediators, and production of reactive oxygen species. Conclusions We have identified and characterised a rare causal variant in MTTP, and homozygosity for MTTP p.I564T is associated with progressive NAFLD without any other manifestations of abetalipoproteinaemia. Our findings provide insights into mechanisms driving progressive NAFLD. Impact and Implications A rare genetic variant in the gene MTTP has been identified as responsible for the development of severe non-alcoholic fatty liver disease in a four-generation family with no typical disease risk factors. A cell line culture created harbouring this variant gene was characterised to understand how this genetic variation leads to a defect in liver cells, which results in accumulation of fat and processes that promote disease. This is now a useful model for studying the disease pathways and to discover new ways to treat common types of fatty liver disease.
Collapse
Affiliation(s)
- Jane I. Grove
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust & University of Nottingham, Nottingham, UK
- Nottingham Digestive Diseases Centre, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - Peggy C.K. Lo
- Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- University of Nottingham Biodiscovery Institute, University of Nottingham, Nottingham, UK
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Julian Barwell
- Clinical Genetics Department, University Hospitals Leicester NHS Trust, Leicester, UK
| | - Louise V. Wain
- Genetic Epidemiology Group, Department of Population Health Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Martin D. Tobin
- Genetic Epidemiology Group, Department of Population Health Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Aditi N. Borkar
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
| | - Sara Cuevas-Ocaña
- Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- University of Nottingham Biodiscovery Institute, University of Nottingham, Nottingham, UK
| | - Neil Bennett
- Genetic Epidemiology Group, Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Catherine John
- Genetic Epidemiology Group, Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Ioanna Ntalla
- Clinical Genetics Department, University Hospitals Leicester NHS Trust, Leicester, UK
| | - Gabriela E. Jones
- Clinical Genetics Department, University Hospitals Leicester NHS Trust, Leicester, UK
| | | | - Mervyn G. Thomas
- Ulverscroft Eye Unit, Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK
| | - Helen Kuht
- Ulverscroft Eye Unit, Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK
| | - Pankaj Gupta
- Department of Chemical Pathology and Metabolic Diseases, University Hospitals of Leicester NHS Trust, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Vishwaraj M. Vemala
- Department of Gastroenterology, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Allister Grant
- Department of Gastroenterology, University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Adeolu B. Adewoye
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | | | | | - Edward J. Hollox
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Nicholas R.F. Hannan
- Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- University of Nottingham Biodiscovery Institute, University of Nottingham, Nottingham, UK
| | - Guruprasad P. Aithal
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust & University of Nottingham, Nottingham, UK
- Nottingham Digestive Diseases Centre, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| |
Collapse
|
5
|
Wiafe YA, Afihene MY, Anto EO, Nmai RA, Amoah-Kumi L, Frimpong J, Dickson FD, Antwi SO, Roberts LR. Non-Alcoholic Fatty Liver Disease and Liver Fibrosis in Persons with Type 2 Diabetes Mellitus in Ghana: A Study of Prevalence, Severity, and Contributing Factors Using Transient Elastography. J Clin Med 2023; 12:jcm12113741. [PMID: 37297935 DOI: 10.3390/jcm12113741] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by hyperglycemia, insulin resistance, and pancreatic islet cell dysfunction. T2DM is associated with non-alcoholic fatty liver disease (NAFLD) because of impaired glucose metabolism in both conditions. However, it is widely assumed that people with T2DM in sub-Saharan Africa (SSA) have a lower prevalence of NAFLD than in other parts of the world. With our recent access to transient elastography, we aimed to investigate the prevalence of, severity of, and contributing factors to NAFLD in persons with T2DM in Ghana. We performed a cross-sectional study recruiting 218 individuals with T2DM at the Kwadaso Seventh-Day Adventist and Mount Sinai Hospitals in the Ashanti region of Ghana using a simple randomized sampling technique. A structured questionnaire was used to obtain socio-demographic information, clinical history, exercise and other lifestyle factors, and anthropometric measurements. Transient elastography was performed using a FibroScan® machine to obtain the Controlled Attenuation Parameter (CAP) score and liver fibrosis score. The prevalence of NAFLD among Ghanaian T2DM participants was 51.4% (112/218), of whom 11.6% had significant liver fibrosis. An evaluation of the NAFLD group (n = 112) versus the non-NAFLD group (n = 106) revealed a higher BMI (28.7 vs. 25.2 kg/m2, p = 0.001), waist circumference (106.0 vs. 98.0 cm, p = 0.001), hip circumference (107.0 vs. 100.5 cm, p = 0.003), and waist-to-height ratio (0.66 vs. 0.62, p = 0.001) in T2DM patients with NAFLD compared to those without NAFLD. Being obese was an independent predictor of NAFLD in persons with T2DM than known history of hypertension and dyslipidaemia.
Collapse
Affiliation(s)
- Yaw Amo Wiafe
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Mary Yeboah Afihene
- Department of Medicine, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Enoch Odame Anto
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Richmond Ashitey Nmai
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Lois Amoah-Kumi
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Joseph Frimpong
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Jacksonville, FL 32224, USA
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
| |
Collapse
|
6
|
Liu N, Wang G, Liu C, Liu J, Huang S, Zhou Y, Xiao E. Non-alcoholic fatty liver disease and complications in type 1 and type 2 diabetes: A Mendelian randomization study. Diabetes Obes Metab 2023; 25:365-376. [PMID: 36181433 DOI: 10.1111/dom.14877] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/19/2022] [Accepted: 09/28/2022] [Indexed: 02/02/2023]
Abstract
AIM To investigate the potential causal relationship between non-alcoholic fatty liver disease (NAFLD) and complications in type 1 diabetes (T1D) and type 2 diabetes (T2D). MATERIALS AND METHODS Two-sample Mendelian randomization (MR) analysis was conducted to appraise after controlling for the confounding factors. Genetic instrument variables for NAFLD surrogated by chronically elevated serum alanine transferase were derived from a recent genome-wide association study. Diabetes-related complications, including diabetic ketoacidosis, nephropathy and retinopathy, were included as outcomes. Four complementary MR methods were used to test reliability. RESULTS Genetically instrumented NAFLD showed a suggestive causal association with ketoacidosis in T1D (odds ratio [OR]: 1.574; 95% confidence interval [CI]: 1.076, 2.302; P = .019; false discovery rate [FDR] = 0.096) and a significant causal association with early-stage kidney disease in T1D (OR: 1.249; 95% CI: 1.089, 1.432; P = 1.457 × 10-3 , FDR = 0.015). Sensitivity analysis indicated low heterogeneity, low pleiotropy and high reliability of the causal estimates. However, the MR analyses failed to show a causal association between NAFLD and T1D retinopathy, T2D ketoacidosis, nephropathy and retinopathy. CONCLUSIONS This study supports a causal effect of genetically driven chronic serum alanine aminotransferase-associated NAFLD on early-stage kidney disease in T1D and a suggestive causal effect on ketoacidosis in T1D. However, MR studies did not provide enough evidence to suggest that NAFLD independently increases the risk of retinopathy in T1D and of ketoacidosis, nephropathy and retinopathy in T2D.
Collapse
Affiliation(s)
- Ningyuan Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ge Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Chao Liu
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Jiayi Liu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Shengyuan Huang
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Yong Zhou
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Enhua Xiao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
7
|
Kurki MI, Karjalainen J, Palta P, Sipilä TP, Kristiansson K, Donner KM, Reeve MP, Laivuori H, Aavikko M, Kaunisto MA, Loukola A, Lahtela E, Mattsson H, Laiho P, Della Briotta Parolo P, Lehisto AA, Kanai M, Mars N, Rämö J, Kiiskinen T, Heyne HO, Veerapen K, Rüeger S, Lemmelä S, Zhou W, Ruotsalainen S, Pärn K, Hiekkalinna T, Koskelainen S, Paajanen T, Llorens V, Gracia-Tabuenca J, Siirtola H, Reis K, Elnahas AG, Sun B, Foley CN, Aalto-Setälä K, Alasoo K, Arvas M, Auro K, Biswas S, Bizaki-Vallaskangas A, Carpen O, Chen CY, Dada OA, Ding Z, Ehm MG, Eklund K, Färkkilä M, Finucane H, Ganna A, Ghazal A, Graham RR, Green EM, Hakanen A, Hautalahti M, Hedman ÅK, Hiltunen M, Hinttala R, Hovatta I, Hu X, Huertas-Vazquez A, Huilaja L, Hunkapiller J, Jacob H, Jensen JN, Joensuu H, John S, Julkunen V, Jung M, Junttila J, Kaarniranta K, Kähönen M, Kajanne R, Kallio L, Kälviäinen R, Kaprio J, Kerimov N, Kettunen J, Kilpeläinen E, Kilpi T, Klinger K, Kosma VM, Kuopio T, Kurra V, Laisk T, Laukkanen J, Lawless N, Liu A, Longerich S, Mägi R, Mäkelä J, Mäkitie A, Malarstig A, Mannermaa A, Maranville J, Matakidou A, Meretoja T, Mozaffari SV, Niemi MEK, Niemi M, Niiranen T, O Donnell CJ, Obeidat ME, Okafo G, Ollila HM, Palomäki A, Palotie T, Partanen J, Paul DS, Pelkonen M, Pendergrass RK, Petrovski S, Pitkäranta A, Platt A, Pulford D, Punkka E, Pussinen P, Raghavan N, Rahimov F, Rajpal D, Renaud NA, Riley-Gillis B, Rodosthenous R, Saarentaus E, Salminen A, Salminen E, Salomaa V, Schleutker J, Serpi R, Shen HY, Siegel R, Silander K, Siltanen S, Soini S, Soininen H, Sul JH, Tachmazidou I, Tasanen K, Tienari P, Toppila-Salmi S, Tukiainen T, Tuomi T, Turunen JA, Ulirsch JC, Vaura F, Virolainen P, Waring J, Waterworth D, Yang R, Nelis M, Reigo A, Metspalu A, Milani L, Esko T, Fox C, Havulinna AS, Perola M, Ripatti S, Jalanko A, Laitinen T, Mäkelä TP, Plenge R, McCarthy M, Runz H, Daly MJ, Palotie A. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 2023; 613:508-518. [PMID: 36653562 PMCID: PMC9849126 DOI: 10.1038/s41586-022-05473-8] [Citation(s) in RCA: 767] [Impact Index Per Article: 767.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 10/21/2022] [Indexed: 01/20/2023]
Abstract
Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≤ minor allele frequency < 5%). These variants survived the founding bottleneck rather than being distributed over a large number of ultrarare variants. Although this effect is well established in Mendelian genetics, its value in common disease genetics is less explored1,2. FinnGen aims to study the genome and national health register data of 500,000 Finnish individuals. Given the relatively high median age of participants (63 years) and the substantial fraction of hospital-based recruitment, FinnGen is enriched for disease end points. Here we analyse data from 224,737 participants from FinnGen and study 15 diseases that have previously been investigated in large genome-wide association studies (GWASs). We also include meta-analyses of biobank data from Estonia and the United Kingdom. We identified 30 new associations, primarily low-frequency variants, enriched in the Finnish population. A GWAS of 1,932 diseases also identified 2,733 genome-wide significant associations (893 phenome-wide significant (PWS), P < 2.6 × 10-11) at 2,496 (771 PWS) independent loci with 807 (247 PWS) end points. Among these, fine-mapping implicated 148 (73 PWS) coding variants associated with 83 (42 PWS) end points. Moreover, 91 (47 PWS) had an allele frequency of <5% in non-Finnish European individuals, of which 62 (32 PWS) were enriched by more than twofold in Finland. These findings demonstrate the power of bottlenecked populations to find entry points into the biology of common diseases through low-frequency, high impact variants.
Collapse
Affiliation(s)
- Mitja I Kurki
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Priit Palta
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Timo P Sipilä
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | - Kati M Donner
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Mary P Reeve
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland.,Faculty of Medicine and Health Technology, Center for Child, Adolescent and Maternal Health, University of Tampere, Tampere, Finland
| | - Mervi Aavikko
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Mari A Kaunisto
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Anu Loukola
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | - Elisa Lahtela
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Hannele Mattsson
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Päivi Laiho
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Pietro Della Briotta Parolo
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Arto A Lehisto
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Masahiro Kanai
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.,Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Nina Mars
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Joel Rämö
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Henrike O Heyne
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Digital Health Center, Hasso Plattner Institute for Digital Engineering, University of Potsdam Potsdam, Potsdam, Germany.,Hasso Plattner Institute for Digital Health at Mount Sinai, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kumar Veerapen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sina Rüeger
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Susanna Lemmelä
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Wei Zhou
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sanni Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Kalle Pärn
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tero Hiekkalinna
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Sami Koskelainen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Teemu Paajanen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Vincent Llorens
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Javier Gracia-Tabuenca
- TAUCHI Research Center, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Harri Siirtola
- TAUCHI Research Center, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Kadri Reis
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Benjamin Sun
- Translational Biology, Research and Development, Biogen, Cambridge, MA, USA.,BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Christopher N Foley
- Optima Partners, Edinburgh, UK.,MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Kaur Alasoo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Mikko Arvas
- Finnish Red Cross Blood Service, Helsinki, Finland
| | | | | | | | - Olli Carpen
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | | | - Oluwaseun A Dada
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Zhihao Ding
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | | | - Kari Eklund
- Division of Rheumatology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland.,Orton Orthopedic Hospital, Helsinki, Finland
| | - Martti Färkkilä
- Abdominal Center, Helsinki University Hospital, Helsinki University, Helsinki, Finland
| | - Hilary Finucane
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Awaisa Ghazal
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | | | - Antti Hakanen
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Åsa K Hedman
- Pfizer, New York, NY, USA.,Department of Medicine, Karolinska Institute, Solna, Sweden
| | - Mikko Hiltunen
- Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Reetta Hinttala
- Medical Research Center Oulu and PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Oulu University Hospital, Oulu, Finland
| | - Iiris Hovatta
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | | | - Laura Huilaja
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Department of Dermatology and Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | | | | | | | - Heikki Joensuu
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Valtteri Julkunen
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - Marc Jung
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | - Juhani Junttila
- Northern Finland Biobank Borealis, University of Oulu, Northern Ostrobothnia Hospital District, Oulu, Finland
| | - Kai Kaarniranta
- Department of Ophthalmology, Kuopio University Hospital, Kuopio, Finland.,Department of Ophthalmology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mika Kähönen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Lila Kallio
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | - Reetta Kälviäinen
- Epilepsy Center, Kuopio University Hospital, Kuopio, Finland.,Department of Neurology, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | | | - Nurlan Kerimov
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Johannes Kettunen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Computational Medicine, Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Elina Kilpeläinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Terhi Kilpi
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | | | - Veli-Matti Kosma
- Biobank of Eastern Finland, University of Eastern Finland, Kuopio, Finland.,Kuopio University Hospital, Kuopio, Finland
| | - Teijo Kuopio
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland
| | - Venla Kurra
- Department of Clinical Genetics, Tampere University Hospital, Tampere, Finland.,Department of Clinical Genetics, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jari Laukkanen
- Central Finland Biobank, Central Finland Health Care District, Jyväskylä, Finland.,Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Aoxing Liu
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Antti Mäkitie
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland
| | - Anders Malarstig
- Pfizer, Cambridge, MA, USA.,Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden
| | - Arto Mannermaa
- Biobank of Eastern Finland, University of Eastern Finland, Kuopio, Finland.,Kuopio University Hospital, Kuopio, Finland
| | | | - Athena Matakidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Tuomo Meretoja
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Mari E K Niemi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Marianna Niemi
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,TAUCHI Research Center & Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Teemu Niiranen
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,Turku University Hospital and University of Turku, Turku, Finland
| | | | - Ma En Obeidat
- Novartis Institutes for BioMedical Research, Cambridge, MA, USA
| | - George Okafo
- Boehringer Ingelheim, Ingelheim am Rhein, Germany
| | - Hanna M Ollila
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Antti Palomäki
- Turku University Hospital and University of Turku, Turku, Finland
| | - Tuula Palotie
- Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Helsinki, Finland.,Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | - Jukka Partanen
- Finnish Red Cross Blood Service, Helsinki, Finland.,Finnish Hematological Biobank, Helsinki, Finland
| | - Dirk S Paul
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Margit Pelkonen
- Department of Pulmonary Diseases, Kuopio University Hospital, Kuopio, Finland
| | | | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Anne Pitkäranta
- Department of Otorhinolaryngology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Adam Platt
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | | | - Eero Punkka
- Helsinki Biobank, University of Helsinki and Hospital District of Helsinki and Uusimaa, Helsinki, Finland
| | - Pirkko Pussinen
- Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | | | | | - Deepak Rajpal
- Translational Sciences, Sanofi R&D, Framingham, MA, USA
| | - Nicole A Renaud
- Novartis Institutes for BioMedical Research, Cambridge, MA, USA
| | | | - Rodosthenis Rodosthenous
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Elmo Saarentaus
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Aino Salminen
- Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
| | - Eveliina Salminen
- Helsinki University Hospital, Helsinki, Finland.,Department of Clinical Genetics, HUSLAB, HUS Diagnostic Center, University of Helsinki, Helsinki, Finland
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Johanna Schleutker
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | - Raisa Serpi
- Northern Finland Biobank Borealis, University of Oulu, Northern Ostrobothnia Hospital District, Oulu, Finland
| | - Huei-Yi Shen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Richard Siegel
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | - Kaisa Silander
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Sanna Siltanen
- Finnish Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Sirpa Soini
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Ioanna Tachmazidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Kaisa Tasanen
- PEDEGO Research Unit, University of Oulu, Oulu, Finland.,Department of Dermatology and Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | - Pentti Tienari
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland.,Translational Immunology, Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - Sanna Toppila-Salmi
- Department of Allergy, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Taru Tukiainen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Abdominal Center, Endocrinology, Helsinki University Hospital, Helsinki, Finland.,Folkhalsan Research Center, Helsinki, Finland.,Research Program of Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Joni A Turunen
- Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Eye Genetics Group, Folkhälsan Research Center, Helsinki, Finland
| | - Jacob C Ulirsch
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Felix Vaura
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland.,University of Turku, Turku, Finland
| | - Petri Virolainen
- Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland
| | | | | | | | - Mari Nelis
- Genomics Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anu Reigo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Anu Jalanko
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tarja Laitinen
- Finnish Clinical Biobank Tampere, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Tomi P Mäkelä
- Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | | | | | | | - Mark J Daly
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland. .,Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA. .,Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA. .,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
| |
Collapse
|
8
|
NAFLD: genetics and its clinical implications. Clin Res Hepatol Gastroenterol 2022; 46:102003. [PMID: 35963605 DOI: 10.1016/j.clinre.2022.102003] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 07/28/2022] [Accepted: 08/09/2022] [Indexed: 02/04/2023]
Abstract
Worldwide non-alcoholic fatty liver disease (NAFLD) is recognized as the most common type of liver disease and its burden increasing at an alarming rate. NAFLD entails steatosis, fibrosis, cirrhosis, and, finally, hepatocellular carcinoma (HCC). The substantial inter-patient variation during disease progression is the hallmark of individuals with NAFLD. The variability of NAFLD development and related complications among individuals is determined by genetic and environmental factors. Genome-wide association studies (GWAS) have discovered reproducible and robust associations between gene variants such as PNPLA3, TM6SF2, HSD17B13, MBOAT7, GCKR and NAFLD. Evidences have provided the new insights into the NAFLD biology and underlined potential pharmaceutical targets. Ideally, the candidate genes associated with the hereditability of NAFLD are mainly involved in assembly of lipid droplets, lipid remodeling, lipoprotein packing and secretion, redox status mitochondria, and de novo lipogenesis. In recent years, the ability to translate genetics into a clinical context has emerged substantially by combining genetic variants primarily associated with NAFLD into polygenic risk scores (PRS). These score in combination with metabolic factors could be utilized to identify the severe liver diseases in patients with the gene regulatory networks (GRNs). Hereby, we even have highlighted the current understanding related to the schedule therapeutic approach of an individual based on microbial colonization and dysbiosis reversal as a therapy for NAFLD. The premise of this review is to concentrate on the potential of genetic factors and their translation into the design of novel therapeutics, as well as their implications for future research into personalized medications using microbiota.
Collapse
|
9
|
Exercise and Metformin Intervention Prevents Lipotoxicity-Induced Hepatocyte Apoptosis by Alleviating Oxidative and ER Stress and Activating the AMPK/Nrf2/HO-1 Signaling Pathway in db/db Mice. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:2297268. [PMID: 36120597 PMCID: PMC9481363 DOI: 10.1155/2022/2297268] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/04/2022] [Accepted: 08/18/2022] [Indexed: 11/17/2022]
Abstract
Objective Nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2DM) commonly coexist and act synergistically to drive adverse clinical outcomes. This study is aimed at investigating the effects of exercise intervention and oral hypoglycaemic drug of metformin (MET) alone or combined on hepatic lipid accumulation. To investigate if oxidative stress and endoplasmic reticulum stress (ERS) are involved in lipotoxicity-induced hepatocyte apoptosis in diabetic mice and whether exercise and/or MET alleviated oxidative stress or ERS-apoptosis by AMPK-Nrf2-HO-1 signaling pathway. Methods Forty db/db mice with diabetes (random blood glucose ≥ 250 mg/dL) were randomly allocated into four groups: control (CON), exercise training alone (EX), metformin treatment alone (MET), and exercise combined with metformin (EM) groups. Hematoxylin-eosin and oil red O staining were carried out to observe hepatic lipid accumulation. Immunohistochemical and TUNEL methods were used to detect the protein expression of the binding immunoglobulin protein (BiP) and superoxide dismutase-1 (SOD1) and the apoptosis level of hepatocytes. ERS-related gene expression and the AMPK-Nrf2-HO-1 signaling pathway were tested by western blotting. Results Our data showed that db/db mice exhibited increased liver lipid accumulation, which induced oxidative and ER stress of the PERK-eIF2α-ATF4 pathway, and hepatocyte apoptosis. MET combined with exercise training significantly alleviated hepatic lipid accumulation by suppressing BiP expression, the central regulator of ER homeostasis, and its downstream PERK-eIF2α-ATF4 pathway, as well as upregulated the AMPK-Nrf2-HO-1 signaling pathway. Moreover, the combination of exercise and MET displayed protective effects on hepatocyte apoptosis by downregulating Bax expression and TUNEL-positive staining, restoring the balance of cleaved-caspase-3 and caspase-3, and improving the antioxidant defense system to prevent oxidative damage in db/db mice. Conclusion Compared to MET or exercise intervention alone, the combined exercise and metformin exhibited significant effect on ameliorating hepatic steatosis, inhibiting oxidative and ER stress-induced hepatocyte apoptosis via improving the capacity of the antioxidant defense system and suppression of the PERK-eIF2α-ATF4 pathway. Furthermore, upregulation of AMPK-Nrf2-HO-1 signaling pathway might be a key crosstalk between MET and exercise, which may have additive effects on alleviating hepatic lipid accumulation.
Collapse
|
10
|
Wishart DS, Cheng LL, Copié V, Edison AS, Eghbalnia HR, Hoch JC, Gouveia GJ, Pathmasiri W, Powers R, Schock TB, Sumner LW, Uchimiya M. NMR and Metabolomics-A Roadmap for the Future. Metabolites 2022; 12:678. [PMID: 35893244 PMCID: PMC9394421 DOI: 10.3390/metabo12080678] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/21/2022] [Accepted: 07/21/2022] [Indexed: 12/03/2022] Open
Abstract
Metabolomics investigates global metabolic alterations associated with chemical, biological, physiological, or pathological processes. These metabolic changes are measured with various analytical platforms including liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS) and nuclear magnetic resonance spectroscopy (NMR). While LC-MS methods are becoming increasingly popular in the field of metabolomics (accounting for more than 70% of published metabolomics studies to date), there are considerable benefits and advantages to NMR-based methods for metabolomic studies. In fact, according to PubMed, more than 926 papers on NMR-based metabolomics were published in 2021-the most ever published in a given year. This suggests that NMR-based metabolomics continues to grow and has plenty to offer to the scientific community. This perspective outlines the growing applications of NMR in metabolomics, highlights several recent advances in NMR technologies for metabolomics, and provides a roadmap for future advancements.
Collapse
Affiliation(s)
- David S. Wishart
- Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB T6G 2E9, Canada
| | - Leo L. Cheng
- Department of Pathology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA;
| | - Valérie Copié
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT 59715, USA;
| | - Arthur S. Edison
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA; (A.S.E.); (G.J.G.); (M.U.)
- Department of Biochemistry & Molecular Biology, University of Georgia, Athens, GA 30602-0001, USA
| | - Hamid R. Eghbalnia
- Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030-3305, USA; (H.R.E.); (J.C.H.)
| | - Jeffrey C. Hoch
- Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030-3305, USA; (H.R.E.); (J.C.H.)
| | - Goncalo J. Gouveia
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA; (A.S.E.); (G.J.G.); (M.U.)
- Department of Biochemistry & Molecular Biology, University of Georgia, Athens, GA 30602-0001, USA
| | - Wimal Pathmasiri
- Nutrition Research Institute, Department of Nutrition, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
| | - Robert Powers
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA
| | - Tracey B. Schock
- National Institute of Standards and Technology (NIST), Chemical Sciences Division, Charleston, SC 29412, USA;
| | - Lloyd W. Sumner
- Interdisciplinary Plant Group, MU Metabolomics Center, Bond Life Sciences Center, Department of Biochemistry, University of Missouri, Columbia, MO 65211, USA
| | - Mario Uchimiya
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA; (A.S.E.); (G.J.G.); (M.U.)
| |
Collapse
|
11
|
Wei W, Zi T, Yang R, Xu J, Chen Y, Jiang X, Chu X, Yang X, Jiang W. A Newly Developed Indicator of Overeating Saturated Fat Based on Serum Fatty Acids and Amino Acids and Its Association With Incidence of Type 2 Diabetes: Evidence From Two Randomized Controlled Feeding Trials and a Prospective Study. Front Nutr 2022; 9:897375. [PMID: 35774548 PMCID: PMC9237542 DOI: 10.3389/fnut.2022.897375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/03/2022] [Indexed: 11/29/2022] Open
Abstract
Objective Hyper-caloric intake of saturated fatty acids (SFAs) is common in modern societies, probably contributing to the epidemic of type 2 diabetes mellitus (T2DM). This study conducted two randomized controlled trials (RCTs) for developing a new indicator that can assess the nutritional status and examined its association with incidence of T2DM. Methods In RCT 1, healthy participants were randomly assigned into three groups, namely, control group (n = 40), overfeeding group 1 (100 g butter per day, n = 37), and overfeeding group 2 (120 g butter per day, n = 37). In RCT 2, healthy subjects were randomly assigned into two groups, namely, control group (n = 52) and high-fat group (300-extra kcal/day from diet that was designed by high-fat diet, n = 58). In the prospective cohort, 4,057 participants aged 20–74 years were enrolled and followed up over 5.3 years. Serum profiles of fatty acids and amino acids were measured. Results In RCT 1, serum fatty acids, including C14:0 and C18:0, increased, whereas C18:2, C20:4, C22:5, and C22:6 decreased; serum amino acids, including tyrosine, alanine, and aminobutyric acid, increased, whereas histidine and glycine decreased (p < 0.05). Among these serum fatty acids and amino acids, changes in C14:0, C20:4, tyrosine, histidine, and glycine were also observed in RCT 2. An indicator was developed based on the five fatty acids and amino acids, namely, C14:0 × tyrosine × 1,000/[C20:4 × (glycine + histidine)], and it significantly identified participants in the intervention group with area under the curve (AUC) (95% CI) being 0.85 (0.77–0.92). The indicator was significantly associated with incidence of T2DM in the prospective cohort with HRs (95% CIs) from bottom quartile to top quartile being 1,1.21 (0.82–1.77), 1.60 (1.12–2.30), 2.04 (1.42–2.94). Conclusion The newly developed indicator in RCTs can be used in assessing the nutritional status of hypercaloric intake of SFA and predicting the development of T2DM.
Collapse
Affiliation(s)
- Wei Wei
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Research, Department of Pharmacology, College of Pharmacy, Ministry of Education, Harbin Medical University, Harbin, China
| | - Tianqi Zi
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
| | - Ruiming Yang
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
| | - Jiaxu Xu
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
| | - Yunyan Chen
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
| | - XiTao Jiang
- College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT, Australia
| | - Xia Chu
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
| | - Xue Yang
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
- *Correspondence: Xue Yang,
| | - Wenbo Jiang
- Department of Nutrition and Food Hygiene, National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
- Wenbo Jiang,
| |
Collapse
|
12
|
Liver Steatosis: A Marker of Metabolic Risk in Children. Int J Mol Sci 2022; 23:ijms23094822. [PMID: 35563210 PMCID: PMC9100068 DOI: 10.3390/ijms23094822] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/24/2022] [Accepted: 04/24/2022] [Indexed: 11/16/2022] Open
Abstract
Obesity is one of the greatest health challenges affecting children of all ages and ethnicities. Almost 19% of children and adolescents worldwide are overweight or obese, with an upward trend in the last decades. These reports imply an increased risk of fat accumulation in hepatic cells leading to a series of histological hepatic damages gathered under the acronym NAFLD (Non-Alcoholic Fatty Liver Disease). Due to the complex dynamics underlying this condition, it has been recently renamed as 'Metabolic Dysfunction Associated Fatty Liver Disease (MAFLD)', supporting the hypothesis that hepatic steatosis is a key component of the large group of clinical and laboratory abnormalities of Metabolic Syndrome (MetS). This review aims to share the latest scientific knowledge on MAFLD in children in an attempt to offer novel insights into the complex dynamics underlying this condition, focusing on the novel molecular aspects. Although there is still no treatment with a proven efficacy for this condition, starting from the molecular basis of the disease, MAFLD's therapeutic landscape is rapidly expanding, and different medications seem to act as modifiers of liver steatosis, inflammation, and fibrosis.
Collapse
|
13
|
Xue WY, Zhang L, Liu CM, Gao Y, Li SJ, Huai ZY, Dai J, Wang YY. Research progress on the relationship between TM6SF2 rs58542926 polymorphism and non-alcoholic fatty liver disease. Expert Rev Gastroenterol Hepatol 2022; 16:97-107. [PMID: 35057689 DOI: 10.1080/17474124.2022.2032661] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION nonalcoholic fatty liver disease is a common liver disease with a global average prevalence of about 25%. In addition to the incidence of NAFLD being related to obesity, diabetes, hyperlipidemia, etc., genetic factors also have an important impact on the incidence of NAFLD. AREAS COVERED Current experimental results and clinical studies show that the transmembrane 6 superfamily member 2 (TM6SF2) gene plays an important role in the pathogenesis of NAFLD. The research on genetic polymorphism of TM6SF2 gene mainly focuses on rs58542926 locus (rs58542926 c.449 C > T, p. Glu167Lys, E167K). The Mutations of this site might increase the risk of NAFLD in carriers. EXPERT OPINION The mutation of this site causes the disorder of triglyceride metabolism in the liver, which leads to the deposition of a large amount of lipids in the liver, and further induces the incidence of NAFLD. With the study of the mechanism of TM6SF2 gene polymorphism in the pathogenesis of NAFLD, it is helpful to understand the molecular mechanism of the pathogenesis of NAFLD, which has a great value for the treatment of NAFLD.
Collapse
Affiliation(s)
- Wan-Ying Xue
- School of Life Sciences, Bengbu Medical College, Bengbu, Anhui, China
| | - Li Zhang
- Department of Infectious Diseases, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Chuan-Miao Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Yu Gao
- School of Life Sciences, Bengbu Medical College, Bengbu, Anhui, China
| | - Shu-Jing Li
- School of Life Sciences, Bengbu Medical College, Bengbu, Anhui, China
| | - Zi-You Huai
- School of Life Sciences, Bengbu Medical College, Bengbu, Anhui, China
| | - Jing Dai
- School of Life Sciences, Bengbu Medical College, Bengbu, Anhui, China
| | - Yuan-Yuan Wang
- School of Life Sciences, Bengbu Medical College, Bengbu, Anhui, China
| |
Collapse
|
14
|
Li XY, Liu Z, Li L, Wang HJ, Wang H. TM6SF2 rs58542926 is related to hepatic steatosis, fibrosis and serum lipids both in adults and children: A meta-analysis. Front Endocrinol (Lausanne) 2022; 13:1026901. [PMID: 36353245 PMCID: PMC9637980 DOI: 10.3389/fendo.2022.1026901] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND AND AIMS Findings about the associations between transmembrane 6 superfamily member 2 (TM6SF2) rs58542926 and nonalcoholic fatty liver disease have not been consistently replicated, particularly in steatosis and fibrosis. The present study aimed to investigate the associations between the rs58542926T allele and the spectrum of NAFLD and its related metabolic phenotypes. METHODS Systematic literature research was performed to analyse the associations between rs58542926 and the spectrum of NAFLD and its related metabolic phenotypes. A random effects meta-analysis with a dominant genetic model was applied. RESULTS Data from 123,800 individuals across 44 studies were included in the current meta-analysis.rs58542926 T allele was associated with an increased risk of NAFLD in both adults (OR=1.62; 95% CI: 1.40, 1.86) and children (OR=2.87; 95% CI: 1.85, 4.46). Children had a stronger association with NAFLD (P=0.01). rs58542926 T allele was also positively associated with steatosis progression (mean difference=0.22; 95% CI: 0.05, 0.39) and fibrosis stage (OR=1.50; 95% CI: 1.20, 1.88) in adults. The TM6SF2 rs58542926 T allele was positively associated with ALT in both adults and children (both P<0.01) and only with higher AST in adults (P<0.01). The rs58542926 T allele was negatively associated with serum total cholesterol (TC), low-density lipoprotein (LDL), and triglycerides (TGs) in both adults and children (all P<0.01).The serum level of TG was much lower in adults than in children (P<0.01). CONCLUSION TM6SF2 rs58542926 is involved in the entire spectrum of NAFLD and its related metabolic phenotype, and differences in serum lipid levels were observed between adults and children. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42021288163.
Collapse
Affiliation(s)
- Xue-Ying Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Li Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- *Correspondence: Hui Wang,
| |
Collapse
|
15
|
Fan Y, Wolford BN, Lu H, Liang W, Sun J, Zhou W, Rom O, Mahajan A, Surakka I, Graham SE, Liu Z, Kim H, Ramdas S, Fritsche LG, Nielsen JB, Gabrielsen ME, Hveem K, Yang D, Song J, Garcia-Barrio MT, Zhang J, Liu W, Zhang K, Willer CJ, Chen YE. Type 2 diabetes sex-specific effects associated with E167K coding variant in TM6SF2. iScience 2021; 24:103196. [PMID: 34746691 PMCID: PMC8554487 DOI: 10.1016/j.isci.2021.103196] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/31/2021] [Accepted: 09/27/2021] [Indexed: 02/07/2023] Open
Abstract
The rs58542926C >T (E167K) variant of the transmembrane 6 superfamily member 2 gene (TM6SF2) is associated with increased risks for nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2D). Nevertheless, the role of the TM6SF2 rs58542926 variant in glucose metabolism is poorly understood. We performed a sex-stratified analysis of the association between the rs58542926C >T variant and T2D in multiple cohorts. The E167K variant was significantly associated with T2D, especially in males. Using an E167K knockin (KI) mouse model, we found that male but not the female KI mice exhibited impaired glucose tolerance. As an ER membrane protein, TM6SF2 was found to interact with inositol-requiring enzyme 1 α (IRE1α), a primary ER stress sensor. The male Tm6sf2 KI mice exhibited impaired IRE1α signaling in the liver. In conclusion, the E167K variant of TM6SF2 is associated with glucose intolerance primarily in males, both in humans and mice.
Collapse
Affiliation(s)
- Yanbo Fan
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
- Department of Cancer Biology, University of Cincinnati College of Medicine, Vontz Center, 3125 Eden Avenue, Cincinnati, OH45267, USA
| | - Brooke N. Wolford
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI48109, USA
| | - Haocheng Lu
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Wenying Liang
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Jinjian Sun
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI48109, USA
| | - Oren Rom
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
- Department of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA71103, USA
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ida Surakka
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Sarah E. Graham
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Zhipeng Liu
- Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, IN, USA
| | - Hyunbae Kim
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI48201, USA
| | - Shweta Ramdas
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Lars G. Fritsche
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jonas B. Nielsen
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Maiken Elvestad Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway
| | - Dongshan Yang
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Jun Song
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Minerva T. Garcia-Barrio
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Jifeng Zhang
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Wanqing Liu
- Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI 48201, USA
| | - Kezhong Zhang
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI48201, USA
| | - Cristen J. Willer
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI48109, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Y. Eugene Chen
- Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, NCRC Bldg 26, Rm 361S, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| |
Collapse
|
16
|
Zhou Z, Sang L, Wang J, Song L, Zhu L, Wang Y, Xiao J, Lian Y. Relationships among N,N-dimethylformamide exposure, CYP2E1 and TM6SF2 genes, and non-alcoholic fatty liver disease. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 228:112986. [PMID: 34794021 DOI: 10.1016/j.ecoenv.2021.112986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/27/2021] [Accepted: 11/09/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE This study aimed to examine the relationships among N, N-dimethylformamide (DMF) exposure, cytochrome P4502E1 (CYP2E1) single nucleotide polymorphisms (SNPs) (rs2031920, rs3813867, rs6413432), transmembrane 6 superfamily member 2 (TM6SF2) SNP rs58542926 and non-alcoholic fatty liver disease (NAFLD). METHODS Baseline data were collected from participants who were then followed for 5 years in a prospective cohort study. The cohort initially consisted of 802 workers and ultimately included 660 people, all of whom underwent annual occupational health examinations from 2010 to 2015. RESULTS The above-threshold group (≥7.3 mg/m³ adjusted relative risk (RR)= 3.620, 95%CI 2.072-6.325) was significantly more likely to develop NAFLD than the below-threshold group (<7.3 mg/m³). The TM6SF2 SNP rs58542926 CT (adjusted RR=3.921, 95% CI 2.329-6.600, P = 0.000) and CT+TT (adjusted RR=4.385, 95% CI 2.639-7.287, P = 0.000) genotypes were risk factors for NAFLD, as compared with the TM6SF2 rs58542926 CC genotype. Each dose group (below-threshold group and above-threshold group) interacting with the genotype of TM6SF2 SNP rs58542926 had an adjusted RR from 7.764 (95% CI 3.272-18.420, P = 0.000) to 24.022 (95% CI 8.971-64.328, P = 0.000). The T allele of rs58542926 in the TM6SF2 gene may be a risk factor for susceptibility to DMF-induced NAFLD. CONCLUSION Polymorphisms of TM6SF2 SNP rs58542926 may play an important role in susceptibility to NAFLD after exposure to DMF.
Collapse
Affiliation(s)
- Ziqi Zhou
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China
| | - Lingli Sang
- Department of Occupational and Environmental Health, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China
| | - Jin Wang
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China
| | - Lin Song
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China
| | - Lejia Zhu
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China
| | - Yangmei Wang
- Department of Occupational and Environmental Health, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China
| | - Jing Xiao
- Department of Occupational Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China
| | - Yulong Lian
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong 226019, Jiangsu, China.
| |
Collapse
|
17
|
Villani R, Magnati GP, De Girolamo G, Sangineto M, Romano AD, Cassano T, Serviddio G. Genetic Polymorphisms and Clinical Features in Diabetic Patients With Fatty Liver: Results From a Single-Center Experience in Southern Italy. Front Med (Lausanne) 2021; 8:737759. [PMID: 34746177 PMCID: PMC8566437 DOI: 10.3389/fmed.2021.737759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/10/2021] [Indexed: 12/12/2022] Open
Abstract
Genetic background may be involved in the promotion and progression of non-alcoholic fatty liver disease (NAFLD). Previous studies have suggested that the single nucleotide polymorphisms (SNPs) may be associated with the specific clinical features in the patients with hepatic steatosis; however, data on the patients with diabetes from Southern Italy are lacking. We enrolled 454 patients and 260 of them had type 2 diabetes. We studied the PNPLA3 rs738409, LPIN1 rs13412852, KLF6 rs3750861, SOD2 rs4880, TM6SF2 rs58542926, and ZNF624 rs12603226 SNPs and their distribution in the study population. Lipid profile, liver stiffness, and kidney function were also studied to understand the potential role of the SNPs in the development of clinical phenotypes. No differences were observed in the distribution of polymorphisms between the diabetic and non-diabetic subjects. Carriers of risk allele G for PNPLA3 rs738409 SNP showed a lower mean value of serum triglycerides and a higher liver stiffness. Risk allele for KLF6 rs3750861 and SOD2 rs4880 polymorphism had a lower estimated glomerular filtration rate (eGFR) value, whereas no differences in the glucose and glycated hemoglobin level were observed in the subgroups by the different genotypes. Genetic polymorphisms are useful to identify the patients at higher risk of development of liver fibrosis and lower eGFR values in the patients with diabetes and NAFLD. Their use in clinical practice may help the clinicians to identify the patients who require a more strict follow-up program.
Collapse
Affiliation(s)
- Rosanna Villani
- C.U.R.E. (University Centre for Liver Disease Research and Treatment), Liver Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Grazia Pia Magnati
- C.U.R.E. (University Centre for Liver Disease Research and Treatment), Liver Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Giuseppe De Girolamo
- C.U.R.E. (University Centre for Liver Disease Research and Treatment), Liver Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Moris Sangineto
- C.U.R.E. (University Centre for Liver Disease Research and Treatment), Liver Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Antonino Davide Romano
- C.U.R.E. (University Centre for Liver Disease Research and Treatment), Liver Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Tommaso Cassano
- Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Gaetano Serviddio
- C.U.R.E. (University Centre for Liver Disease Research and Treatment), Liver Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| |
Collapse
|
18
|
Padda J, Khalid K, Khedr A, Tasnim F, Al-Ewaidat OA, Cooper AC, Jean-Charles G. Non-Alcoholic Fatty Liver Disease and Its Association With Diabetes Mellitus. Cureus 2021; 13:e17321. [PMID: 34557367 PMCID: PMC8449987 DOI: 10.7759/cureus.17321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2021] [Indexed: 11/29/2022] Open
Abstract
There is a bidirectional relationship between non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). The liver has a vital role in the pathophysiology of both diseases as it leads to the development of insulin resistance (IR), which in turn results in NAFLD and T2DM. It has been shown that T2DM increases the risk of NAFLD progression. Furthermore, the presence of NAFLD raises the probability of T2DM complications, which explains the increased rates of NAFLD screening in patients with T2DM. In addition, there are common management options for the two diseases. Lifestyle changes can play a role in the initial management of both diseases. Medications that are used to treat T2DM are also used in the management of NAFLD, such as metformin, thiazolidinediones (TZD), glucagon-like peptide-1 (GLP-1) analogues, and dipeptidyl peptidase-4 (DPP4) inhibitors. Bariatric surgery is often used as a last resort and has shown promising results. Lifestyle interventions with diet and exercise are important postoperatively to maintain the weight loss. There are many novel treatments that are being investigated for the treatment of NAFLD, targeting multiple pathophysiologic pathways. This review aims to shed some light on the intricate relationship between NAFLD and T2DM and how IR links both diseases. We also try to raise awareness among clinicians about this relationship and how the presence of one disease should raise a high index of suspicion for the existence of the other.
Collapse
Affiliation(s)
| | | | - Anwar Khedr
- Internal Medicine, JC Medical Center, Orlando, USA
| | | | | | | | - Gutteridge Jean-Charles
- Internal Medicine, JC Medical Center, Orlando, USA.,Internal Medicine, Advent Health & Orlando Health Hospital, Orlando, USA
| |
Collapse
|
19
|
Kim DS, Gloyn AL, Knowles JW. Genetics of Type 2 Diabetes: Opportunities for Precision Medicine: JACC Focus Seminar. J Am Coll Cardiol 2021; 78:496-512. [PMID: 34325839 PMCID: PMC8328195 DOI: 10.1016/j.jacc.2021.03.346] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/14/2021] [Accepted: 03/16/2021] [Indexed: 12/30/2022]
Abstract
Type 2 diabetes (T2D) is highly prevalent and is a strong contributor for cardiovascular disease. However, there is significant heterogeneity in disease pathogenesis and the risk of complications. Enormous progress has been made in our ability to catalog genetic variation associated with T2D risk and variation in disease-relevant quantitative traits. These discoveries hold the potential to shed light on tractable targets and pathways for safe and effective therapeutic development, but the promise of precision medicine has been slow to be realized. Recent studies have identified subgroups of individuals with differential risk for intermediate phenotypes (eg, lipid levels, fasting insulin, body mass index) that contribute to T2D risk, helping to account for the observed clinical heterogeneity. These "partitioned genetic risk scores" not only have the potential to identify patients at greatest risk of cardiovascular disease and rapid disease progression, but also could aid patient stratification bridging the gap toward precision medicine for T2D.
Collapse
Affiliation(s)
- Daniel Seung Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Anna L Gloyn
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA; Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - Joshua W Knowles
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA; Stanford Diabetes Research Center, Stanford University, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA.
| |
Collapse
|
20
|
Dallio M, Romeo M, Gravina AG, Masarone M, Larussa T, Abenavoli L, Persico M, Loguercio C, Federico A. Nutrigenomics and Nutrigenetics in Metabolic- (Dysfunction) Associated Fatty Liver Disease: Novel Insights and Future Perspectives. Nutrients 2021; 13:nu13051679. [PMID: 34063372 PMCID: PMC8156164 DOI: 10.3390/nu13051679] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 12/12/2022] Open
Abstract
Metabolic- (dysfunction) associated fatty liver disease (MAFLD) represents the predominant hepatopathy and one of the most important systemic, metabolic-related disorders all over the world associated with severe medical and socio-economic repercussions due to its growing prevalence, clinical course (steatohepatitis and/or hepatocellular-carcinoma), and related extra-hepatic comorbidities. To date, no specific medications for the treatment of this condition exist, and the most valid recommendation for patients remains lifestyle change. MAFLD has been associated with metabolic syndrome; its development and progression are widely influenced by the interplay between genetic, environmental, and nutritional factors. Nutrigenetics and nutrigenomics findings suggest nutrition’s capability, by acting on the individual genetic background and modifying the specific epigenetic expression as well, to influence patients’ clinical outcome. Besides, immunity response is emerging as pivotal in this multifactorial scenario, suggesting the interaction between diet, genetics, and immunity as another tangled network that needs to be explored. The present review describes the genetic background contribution to MAFLD onset and worsening, its possibility to be influenced by nutritional habits, and the interplay between nutrients and immunity as one of the most promising research fields of the future in this context.
Collapse
Affiliation(s)
- Marcello Dallio
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via S. Pansini 5, 80131 Naples, Italy; (M.R.); (A.G.G.); (C.L.); (A.F.)
- Correspondence: ; Tel.: +39-0815666740
| | - Mario Romeo
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via S. Pansini 5, 80131 Naples, Italy; (M.R.); (A.G.G.); (C.L.); (A.F.)
| | - Antonietta Gerarda Gravina
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via S. Pansini 5, 80131 Naples, Italy; (M.R.); (A.G.G.); (C.L.); (A.F.)
| | - Mario Masarone
- Department of Medicine and Surgery, University of Salerno, Via Allende, 84081 Baronissi, Italy; (M.M.); (M.P.)
| | - Tiziana Larussa
- Department of Health Sciences, University Magna Graecia, viale Europa, 88100 Catanzaro, Italy; (T.L.); (L.A.)
| | - Ludovico Abenavoli
- Department of Health Sciences, University Magna Graecia, viale Europa, 88100 Catanzaro, Italy; (T.L.); (L.A.)
| | - Marcello Persico
- Department of Medicine and Surgery, University of Salerno, Via Allende, 84081 Baronissi, Italy; (M.M.); (M.P.)
| | - Carmelina Loguercio
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via S. Pansini 5, 80131 Naples, Italy; (M.R.); (A.G.G.); (C.L.); (A.F.)
| | - Alessandro Federico
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via S. Pansini 5, 80131 Naples, Italy; (M.R.); (A.G.G.); (C.L.); (A.F.)
| |
Collapse
|
21
|
Juanola O, Martínez-López S, Francés R, Gómez-Hurtado I. Non-Alcoholic Fatty Liver Disease: Metabolic, Genetic, Epigenetic and Environmental Risk Factors. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105227. [PMID: 34069012 PMCID: PMC8155932 DOI: 10.3390/ijerph18105227] [Citation(s) in RCA: 109] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 04/29/2021] [Accepted: 05/09/2021] [Indexed: 12/12/2022]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is one of the most frequent causes of chronic liver disease in the Western world, probably due to the growing prevalence of obesity, metabolic diseases, and exposure to some environmental agents. In certain patients, simple hepatic steatosis can progress to non-alcoholic steatohepatitis (NASH), which can sometimes lead to liver cirrhosis and its complications including hepatocellular carcinoma. Understanding the mechanisms that cause the progression of NAFLD to NASH is crucial to be able to control the advancement of the disease. The main hypothesis considers that it is due to multiple factors that act together on genetically predisposed subjects to suffer from NAFLD including insulin resistance, nutritional factors, gut microbiota, and genetic and epigenetic factors. In this article, we will discuss the epidemiology of NAFLD, and we overview several topics that influence the development of the disease from simple steatosis to liver cirrhosis and its possible complications.
Collapse
Affiliation(s)
- Oriol Juanola
- Gastroenterology and Hepatology, Translational Research Laboratory, Ente Ospedaliero Cantonale, Università della Svizzera Italiana, 6900 Lugano, Switzerland
| | - Sebastián Martínez-López
- Clinical Medicine Department, Miguel Hernández University, 03550 San Juan de Alicante, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL), Hospital General Universitario de Alicante, 03010 Alicante, Spain
| | - Rubén Francés
- Clinical Medicine Department, Miguel Hernández University, 03550 San Juan de Alicante, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL), Hospital General Universitario de Alicante, 03010 Alicante, Spain
- Networked Biomedical Research Center for Hepatic and Digestive Diseases (CIBERehd), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Isabel Gómez-Hurtado
- Alicante Institute for Health and Biomedical Research (ISABIAL), Hospital General Universitario de Alicante, 03010 Alicante, Spain
- Networked Biomedical Research Center for Hepatic and Digestive Diseases (CIBERehd), Institute of Health Carlos III, 28029 Madrid, Spain
| |
Collapse
|
22
|
Conway RBN, Sudenga S, McClain D, Blot WJ. Diabetes and liver cancer risk: A stronger effect in Whites than Blacks? J Diabetes Complications 2021; 35:107816. [PMID: 33323327 PMCID: PMC8045414 DOI: 10.1016/j.jdiacomp.2020.107816] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 11/10/2020] [Accepted: 11/11/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Both diabetes and liver cancer are overrepresented among African Americans, but limited information is available on the interrelationship of these two diseases among African Americans. We examined the association of diabetes with the incidence of liver cancer and whether this varied by participant self-reported race/ethnicity. METHODS Using the Southern Community Cohort Study, we conducted a cancer follow up (2002-2016) of a cohort of mostly low-income participants aged 40-79 with diabetes (n = 15,879) and without diabetes (n = 59,077) at study baseline. Cox regression was used to compute Hazard Ratios (HR) and 95% CIs for the risk of incident liver cancer. RESULTS With 790,132 person years of follow up, 320 incident cases of liver cancer were identified. In analyses controlling for age, sex, race, BMI, current and former smoking, total alcohol consumption, family history of liver cancer, any hepatitis infection, hyperlipidemia and socioeconomic factors, the association between diabetes and risk of liver cancer differed significantly (pinteraction = 0.0001) between participants identifying as Black/African American (AA) or White/European American (EA). Diabetes was associated with 5.3-fold increased cancer risk among EAs (HR 5.4, 95% CI 3.2-9.3) vs an 80% increase (HR 1.8, 95% CI 1.3-2.5) among AAs. Furthermore, controlling for diabetes greatly attenuated the higher risk of liver cancer among AAs; indeed, while the cancer risk among those without diabetes was twice as high among AAs than EAs (HR = 2.0, 95% CI = 1.4-2.9), no excess in AAs was observed among those with diabetes (HR = 0.7, 95% CI = 0.4-1.1). CONCLUSION While liver cancer risk in general is greater in AAs than EAs and diabetes increases this risk in both racial/ethnic groups, diabetes appears to impact liver cancer to a much greater extent among EAs. The findings raise the possibility of racially different mechanisms and impacts of diabetes on this often fatal cancer among AAs and EAs.
Collapse
Affiliation(s)
- Rebecca Baqiyyah N Conway
- School of Community and Rural Health, University of Texas Health Science Center at Tyler, Tyler, TX, United States of America.
| | - Staci Sudenga
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Donald McClain
- Section of Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - William J Blot
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, United States of America
| |
Collapse
|
23
|
Luukkonen PK, Qadri S, Lehtimäki TE, Juuti A, Sammalkorpi H, Penttilä AK, Hakkarainen A, Orho-Melander M, Arola J, Yki-Järvinen H. The PNPLA3-I148M Variant Confers an Antiatherogenic Lipid Profile in Insulin-resistant Patients. J Clin Endocrinol Metab 2021; 106:e300-e315. [PMID: 33064150 DOI: 10.1210/clinem/dgaa729] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 10/14/2020] [Indexed: 02/08/2023]
Abstract
CONTEXT The I148M (rs738409-G) variant in PNPLA3 increases liver fat content but may be protective against cardiovascular disease. Insulin resistance (IR) amplifies the effect of PNPLA3-I148M on liver fat. OBJECTIVE To study whether PNPLA3-I148M confers an antihyperlipidemic effect in insulin-resistant patients. DESIGN Cross-sectional study comparing the impact of PNPLA3-I148M on plasma lipids and lipoproteins in 2 cohorts, both divided into groups based on rs738409-G allele carrier status and median HOMA-IR. SETTING Tertiary referral center. PATIENTS A total of 298 obese patients who underwent a liver biopsy during bariatric surgery (bariatric cohort: age 49 ± 9 years, body mass index [BMI] 43.2 ± 6.8 kg/m2), and 345 less obese volunteers in whom liver fat was measured by proton magnetic resonance spectroscopy (nonbariatric cohort: age 45 ± 14 years, BMI 29.7 ± 5.7 kg/m2). MAIN OUTCOME MEASURES Nuclear magnetic resonance profiling of plasma lipids, lipoprotein particle subclasses and their composition. RESULTS In both cohorts, individuals carrying the PNPLA3-I148M variant had significantly higher liver fat content than noncarriers. In insulin-resistant and homozygous carriers, PNPLA3-I148M exerted a distinct antihyperlipidemic effect with decreased very-low-density lipoprotein (VLDL) and low-density lipoprotein (LDL) particles and their constituents, and increased high-density lipoprotein particles and their constituents, compared with noncarriers. VLDL particles were smaller and LDL particles larger in PNPLA3-I148M carriers. These changes were geometrically opposite to those due to IR. PNPLA3-I148M did not have a measurable effect in patients with lower IR, and its effect was smaller albeit still significant in the less obese than in the obese cohort. CONCLUSIONS PNPLA3-I148M confers an antiatherogenic plasma lipid profile particularly in insulin-resistant individuals.
Collapse
Affiliation(s)
- Panu K Luukkonen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Sami Qadri
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Tiina E Lehtimäki
- HUS Medical Imaging Center, Helsinki University Hospital, Helsinki, Finland
| | - Anne Juuti
- Department of Gastrointestinal Surgery, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
| | - Henna Sammalkorpi
- Department of Gastrointestinal Surgery, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
| | - Anne K Penttilä
- Department of Gastrointestinal Surgery, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
| | - Antti Hakkarainen
- HUS Medical Imaging Center, Helsinki University Hospital, Helsinki, Finland
| | | | - Johanna Arola
- Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Hannele Yki-Järvinen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| |
Collapse
|
24
|
Morandi A, Di Sessa A, Zusi C, Umano GR, El Mazloum D, Fornari E, Miraglia Del Giudice E, Targher G, Maffeis C. Nonalcoholic Fatty Liver Disease and Estimated Insulin Resistance in Obese Youth: A Mendelian Randomization Analysis. J Clin Endocrinol Metab 2020; 105:5897057. [PMID: 32841326 DOI: 10.1210/clinem/dgaa583] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 08/20/2020] [Indexed: 02/07/2023]
Abstract
CONTEXT Nonalcoholic fatty liver disease (NAFLD) is associated with insulin resistance (IR) and predicts type 2 diabetes. Currently, it is uncertain whether NAFLD may directly cause IR or vice versa. OBJECTIVE To test the hypothesis that NAFLD is causally related to IR. DESIGN AND METHODS We performed a Mendelian randomization (MR) in 904 obese children/adolescents using an NAFLD-related genetic risk score (GRS) as an instrumental variable. We assessed NAFLD by ultrasonography and IR by homeostasis model assessment (HOMA-IR). We also interrogated the MAGIC Consortium dataset of 46 186 adults to assess the association between PNPLA3 rs738409 (ie, the most robust NAFLD-related polymorphism) and HOMA-IR, and we performed a 2-sample MR with 2 large datasets to test reverse causation (HOMA-IR increasing the risk of NAFLD). RESULTS Nonalcoholic fatty liver disease prevalence increased by 20% for every increase in the GRS (β-coefficient = 0.20, P < 0.001), and NAFLD was associated with ln-HOMA-IR (β-coefficient = 0.28, P < 0.001). Thus, the expected increase in ln-HOMA-IR for every increase in the GRS (expected β-coefficient) was 0.056 (0.28*0.20) in the case of complete NAFLD-HOMA-IR causal association, and 0.042 in the case of 75% causality. In our cohort, the GRS did not predict ln-HOMA-IR (β-coefficient = 0.007, P = 0.75). In the MAGIC cohort, the PNPLA3 rs738409 did not associate with ln-HOMA-IR. The 2-sample MR failed to show a causal association between ln-HOMA-IR and NAFLD. CONCLUSIONS Our study shows that genetically-influenced NAFLD does not increase HOMA-IR, and genetically-influenced HOMA-IR does not increase the risk of NAFLD. Shared pathogenic pathways or NAFLD subtypes not "captured" by our MR design might underpin the association between NAFLD and HOMA-IR.
Collapse
Affiliation(s)
- Anita Morandi
- Regional Centre for Pediatric Diabetes, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Anna Di Sessa
- Regional Centre for Pediatric Diabetes, Department of Pediatrics, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Chiara Zusi
- Regional Centre for Pediatric Diabetes, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Giuseppina Rosaria Umano
- Regional Centre for Pediatric Diabetes, Department of Pediatrics, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Dania El Mazloum
- Regional Centre for Pediatric Diabetes, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Elena Fornari
- Regional Centre for Pediatric Diabetes, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Emanuele Miraglia Del Giudice
- Regional Centre for Pediatric Diabetes, Department of Pediatrics, University of Campania "Luigi Vanvitelli," Naples, Italy
| | - Giovanni Targher
- Section of Endocrinology, Diabetes and Metabolism, Department of Medicine, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Claudio Maffeis
- Regional Centre for Pediatric Diabetes, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| |
Collapse
|
25
|
Tavaglione F, Targher G, Valenti L, Romeo S. Human and molecular genetics shed lights on fatty liver disease and diabetes conundrum. Endocrinol Diabetes Metab 2020; 3:e00179. [PMID: 33102799 PMCID: PMC7576307 DOI: 10.1002/edm2.179] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 07/28/2020] [Accepted: 08/01/2020] [Indexed: 12/13/2022] Open
Abstract
The causal role of abdominal overweight/obesity, insulin resistance and type 2 diabetes (T2D) on the risk of fatty liver disease (FLD) has robustly been proven. A consensus of experts has recently proposed the novel definition of 'metabolic dysfunction-associated fatty liver disease, MAFLD' instead of 'nonalcoholic fatty liver disease, NAFLD', emphasizing the central role of dysmetabolism in the disease pathogenesis. Conversely, a direct and independent contribution of FLD per se on risk of developing T2D is still a controversial topic. When dealing with FLD as a potential risk factor for T2D, it is straightforward to think of hepatic insulin resistance as the most relevant underlying mechanism. Emerging evidence supports genetic determinants of FLD (eg PNPLA3, TM6SF2, MBOAT7, GCKR, HSD17B13) as determinants of insulin resistance and T2D. However, recent studies highlighted that the key molecular mechanism of dysmetabolism is not fat accumulation per se but the degree of hepatic fibrosis (excess liver fat content-lipotoxicity), leading to reduced insulin clearance, insulin resistance and T2D. A consequence of these findings is that drugs that will ameliorate liver fat accumulation and fibrosis in principle may also exert a beneficial effect on insulin resistance and risk of T2D in individuals with FLD. Finally, initial findings show that these genetic factors might be directly implicated in modulating pancreatic beta-cell function, although future studies are needed to fully understand this relationship.
Collapse
Affiliation(s)
- Federica Tavaglione
- Clinical Medicine and Hepatology UnitDepartment of Internal Medicine and GeriatricsCampus Bio‐Medico UniversityRomeItaly
- Department of Molecular and Clinical MedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Giovanni Targher
- Section of Endocrinology, Diabetes and MetabolismDepartment of MedicineUniversity and Azienda Ospedaliera Universitaria Integrata of VeronaVeronaItaly
| | - Luca Valenti
- Department of Pathophysiology and TransplantationUniversità degli Studi di MilanoMilanoItaly
- Translational MedicineDepartment of Transfusion Medicine and HematologyFondazione IRCCS Ca’ Granda Ospedale Maggiore PoliclinicoMilanoItaly
| | - Stefano Romeo
- Department of Molecular and Clinical MedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Nutrition UnitDepartment of Medical and Surgical ScienceMagna Graecia UniversityCatanzaroItaly
- Department of CardiologySahlgrenska University HospitalGothenburgSweden
| |
Collapse
|
26
|
Li BT, Sun M, Li YF, Wang JQ, Zhou ZM, Song BL, Luo J. Disruption of the ERLIN-TM6SF2-APOB complex destabilizes APOB and contributes to non-alcoholic fatty liver disease. PLoS Genet 2020; 16:e1008955. [PMID: 32776921 PMCID: PMC7462549 DOI: 10.1371/journal.pgen.1008955] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 09/01/2020] [Accepted: 06/24/2020] [Indexed: 02/07/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a metabolic disorder characterized by excess lipid accumulation in the liver without significant consumption of alcohol. The transmembrane 6 superfamily member 2 (TM6SF2) E167K missense variant strongly associates with NAFLD in humans. The E167K mutation destabilizes TM6SF2, resulting in hepatic lipid accumulation and low serum lipid levels. However, the molecular mechanism by which TM6SF2 regulates lipid metabolism remains unclear. By using tandem affinity purification in combination with mass spectrometry, we found that apolipoprotein B (APOB), ER lipid raft protein (ERLIN) 1 and 2 were TM6SF2-interacting proteins. ERLINs and TM6SF2 mutually bound and stabilized each other. TM6SF2 bound and stabilized APOB via two luminal loops. ERLINs did not interact with APOB directly but still increased APOB stability through stabilizing TM6SF2. This APOB stabilization was hampered by the E167K mutation that reduced the protein expression of TM6SF2. In mice, knockout of Tm6sf2 and knockdown of Tm6sf2 or Erlins decreased hepatic APOB protein level, causing lipid accumulation in the liver and lowering lipid levels in the serum. We conclude that defective APOB stabilization, as a result of ERLINs or TM6SF2 deficiency or E167K mutation, is a key factor contributing to NAFLD. Non-alcoholic fatty liver disease (NAFLD) is a very common liver disorder that occurs in people who do not drink too much alcohol. It initiates from extra fat storage in the liver and can advance to hepatitis, fibrosis, liver failure and liver cancer. NAFLD is often associated with other health problems such as obesity, diabetes, and hyperlipidemia. The TM6SF2 gene variant is a strong risk factor for NAFLD in humans. However, the mechanism by which loss of TM6SF2 protein causes NAFLD is unclear. Here, we demonstrate that TM6SF2 forms a complex with ERLINs and APOB. ERLINs and TM6SF2 stabilize each other, and TM6SF2 stabilizes APOB. In mice, ablating the expression of ERLINs or TM6SF2 lowers APOB protein level, causing lipid accumulation in the liver while decreasing lipid levels in the blood. These phenotypes resemble the symptoms of NAFLD patients carrying TM6SF2 mutations. We conclude that TM6SF2 promotes APOB stability via complex formation and that defective APOB stabilization is one of the underlying causes of NAFLD.
Collapse
Affiliation(s)
- Bo-Tao Li
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Ming Sun
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Yun-Feng Li
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Ju-Qiong Wang
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Zi-Mu Zhou
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Bao-Liang Song
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Jie Luo
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
- * E-mail:
| |
Collapse
|
27
|
Trépo E, Valenti L. Update on NAFLD genetics: From new variants to the clinic. J Hepatol 2020; 72:1196-1209. [PMID: 32145256 DOI: 10.1016/j.jhep.2020.02.020] [Citation(s) in RCA: 210] [Impact Index Per Article: 52.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 02/04/2020] [Accepted: 02/13/2020] [Indexed: 02/07/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of liver diseases in high-income countries and the burden of NAFLD is increasing at an alarming rate. The risk of developing NAFLD and related complications is highly variable among individuals and is determined by environmental and genetic factors. Genome-wide association studies have uncovered robust and reproducible associations between variations in genes such as PNPLA3, TM6SF2, MBOAT7, GCKR, HSD17B13 and the natural history of NAFLD. These findings have provided compelling new insights into the biology of NAFLD and highlighted potentially attractive pharmaceutical targets. More recently the development of polygenic risk scores, which have shown promising results for the clinical risk prediction of other complex traits (such as cardiovascular disease and breast cancer), have provided new impetus for the clinical validation of genetic variants in NAFLD risk stratification. Herein, we review current knowledge on the genetic architecture of NAFLD, including gene-environment interactions, and discuss the implications for disease pathobiology, drug discovery and risk prediction. We particularly focus on the potential clinical translation of recent genetic advances, discussing methodological hurdles that must be overcome before these discoveries can be implemented in everyday practice.
Collapse
Affiliation(s)
- Eric Trépo
- Department of Gastroenterology, Hepatopancreatology and Digestive Oncology, C.U.B. Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium; Laboratory of Experimental Gastroenterology, Université Libre de Bruxelles, Brussels, Belgium.
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy; Translational Medicine - Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| |
Collapse
|
28
|
Chen VL, Chen Y, Du X, Handelman SK, Speliotes EK. Genetic variants that associate with cirrhosis have pleiotropic effects on human traits. Liver Int 2020; 40:405-415. [PMID: 31815349 PMCID: PMC7395656 DOI: 10.1111/liv.14321] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/16/2019] [Accepted: 12/03/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Cirrhosis is characterized by extensive fibrosis of the liver and is a major cause of liver-related mortality. Cirrhosis is partially heritable but genetic contributions to cirrhosis have not been systemically explored. Here, we carry out association analyses with cirrhosis in two large biobanks and determine the effects of cirrhosis associated variants on multiple human disease/traits. METHODS We carried out a genome-wide association analysis of cirrhosis as a diagnosis in UK BioBank (UKBB; 1088 cases vs. 407 873 controls) and then tested top-associating loci for replication with cirrhosis in a hospital-based cohort from the Michigan Genomics Initiative (MGI; 875 cases of cirrhosis vs. 30 346 controls). For replicating variants or variants previously associated with cirrhosis that also affected cirrhosis in UKBB or MGI, we determined single nucleotide polymorphism effects on all other diagnoses in UKBB (PheWAS), common metabolic traits/diseases and serum/plasma metabolites. RESULTS Unbiased genome-wide association study identified variants in/near PNPLA3 and HFE, and candidate variant analysis identified variants in/near TM6SF2, MBOAT7, SERPINA1, HSD17B13, STAT4 and IFNL4 that reproducibly affected cirrhosis. Most affected liver enzyme concentrations and/or aspartate transaminase-to-platelet ratio index. PheWAS, metabolic trait and serum/plasma metabolite association analyses revealed effects of these variants on lipid, inflammatory and other processes including new effects on many human diseases and traits. CONCLUSIONS We identified eight loci that reproducibly associate with population-based cirrhosis and define their diverse effects on human diseases and traits.
Collapse
Affiliation(s)
- Vincent L. Chen
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA,Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Yanhua Chen
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Xiaomeng Du
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Samuel K. Handelman
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA,Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Elizabeth K. Speliotes
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA,Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| |
Collapse
|
29
|
Romeo S, Sanyal A, Valenti L. Leveraging Human Genetics to Identify Potential New Treatments for Fatty Liver Disease. Cell Metab 2020; 31:35-45. [PMID: 31914377 DOI: 10.1016/j.cmet.2019.12.002] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 10/07/2019] [Accepted: 12/06/2019] [Indexed: 02/08/2023]
Abstract
Fatty liver disease (FLD), including its more severe pathologies, namely steatohepatitis, hepatocarcinoma, and cirrhosis, is the most common cause of chronic liver disease worldwide and is projected to become the leading cause of hepatocellular carcinoma and end-stage liver disease. FLD is heterogeneous with multiple etiologies and diverse histological phenotypes, so therapies will ultimately need to be individualized for relevant targets. Inherited factors contribute to FLD, and most of the genetic variation influencing liver disease development and progression is derived from genes involved in lipid biology, including PNPLA3, TM6SF2, GCKR, MBOAT7, and HSD17B13. From this point of view, we focus in this perspective on how human molecular genetics of FLD have highlighted defects in hepatic lipid handling as a major common mechanism of its pathology and how this insight could be leveraged to treat and prevent its more serious complications.
Collapse
Affiliation(s)
- Stefano Romeo
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden; Clinical Nutrition Unit, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy; Cardiology Department, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Arun Sanyal
- Division of Gastroenterology and Hepatology, Department of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Translational Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda, Pad Marangoni, Milan, Italy.
| |
Collapse
|
30
|
Marjot T, Moolla A, Cobbold JF, Hodson L, Tomlinson JW. Nonalcoholic Fatty Liver Disease in Adults: Current Concepts in Etiology, Outcomes, and Management. Endocr Rev 2020; 41:5601173. [PMID: 31629366 DOI: 10.1210/endrev/bnz009] [Citation(s) in RCA: 119] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 10/14/2019] [Indexed: 02/06/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a spectrum of disease, extending from simple steatosis to inflammation and fibrosis with a significant risk for the development of cirrhosis. It is highly prevalent and is associated with significant adverse outcomes both through liver-specific morbidity and mortality but, perhaps more important, through adverse cardiovascular and metabolic outcomes. It is closely associated with type 2 diabetes and obesity, and both of these conditions drive progressive disease toward the more advanced stages. The mechanisms that govern hepatic lipid accumulation and the predisposition to inflammation and fibrosis are still not fully understood but reflect a complex interplay between metabolic target tissues including adipose and skeletal muscle, and immune and inflammatory cells. The ability to make an accurate assessment of disease stage (that relates to clinical outcome) can also be challenging. While liver biopsy is still regarded as the gold-standard investigative tool, there is an extensive literature on the search for novel noninvasive biomarkers and imaging modalities that aim to accurately reflect the stage of underlying disease. Finally, although no therapies are currently licensed for the treatment of NAFLD, there are interventions that appear to have proven efficacy in randomized controlled trials as well as an extensive emerging therapeutic landscape of new agents that target many of the fundamental pathophysiological processes that drive NAFLD. It is highly likely that over the next few years, new treatments with a specific license for the treatment of NAFLD will become available.
Collapse
Affiliation(s)
- Thomas Marjot
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, UK.,Oxford Centre for Diabetes, Endocrinology and Metabolism, NIHR Oxford Biomedical Research Centre, University of Oxford, Churchill Hospital, Oxford, UK
| | - Ahmad Moolla
- Oxford Centre for Diabetes, Endocrinology and Metabolism, NIHR Oxford Biomedical Research Centre, University of Oxford, Churchill Hospital, Oxford, UK
| | - Jeremy F Cobbold
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Leanne Hodson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, NIHR Oxford Biomedical Research Centre, University of Oxford, Churchill Hospital, Oxford, UK
| | - Jeremy W Tomlinson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, NIHR Oxford Biomedical Research Centre, University of Oxford, Churchill Hospital, Oxford, UK
| |
Collapse
|
31
|
Iruarrizaga-Lejarreta M, Arretxe E, Alonso C. Using metabolomics to develop precision medicine strategies to treat nonalcoholic steatohepatitis. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2019. [DOI: 10.1080/23808993.2019.1685379] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
| | - Enara Arretxe
- OWL Metabolomics, Parque Tecnológico de Bizkaia, Derio, Spain
| | - Cristina Alonso
- OWL Metabolomics, Parque Tecnológico de Bizkaia, Derio, Spain
| |
Collapse
|
32
|
Prill S, Caddeo A, Baselli G, Jamialahmadi O, Dongiovanni P, Rametta R, Kanebratt KP, Pujia A, Pingitore P, Mancina RM, Lindén D, Whatling C, Janefeldt A, Kozyra M, Ingelman-Sundberg M, Valenti L, Andersson TB, Romeo S. The TM6SF2 E167K genetic variant induces lipid biosynthesis and reduces apolipoprotein B secretion in human hepatic 3D spheroids. Sci Rep 2019; 9:11585. [PMID: 31406127 PMCID: PMC6690969 DOI: 10.1038/s41598-019-47737-w] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 07/15/2019] [Indexed: 02/08/2023] Open
Abstract
There is a high unmet need for developing treatments for nonalcoholic fatty liver disease (NAFLD), for which there are no approved drugs today. Here, we used a human in vitro disease model to understand mechanisms linked to genetic risk variants associated with NAFLD. The model is based on 3D spheroids from primary human hepatocytes from five different donors. Across these donors, we observed highly reproducible differences in the extent of steatosis induction, demonstrating that inter-donor variability is reflected in the in vitro model. Importantly, our data indicates that the genetic variant TM6SF2 E167K, previously associated with increased risk for NAFLD, induces increased hepatocyte fat content by reducing APOB particle secretion. Finally, differences in gene expression pathways involved in cholesterol, fatty acid and glucose metabolism between wild type and TM6SF2 E167K mutation carriers (N = 125) were confirmed in the in vitro model. Our data suggest that the 3D in vitro spheroids can be used to investigate the mechanisms underlying the association of human genetic variants associated with NAFLD. This model may also be suitable to discover new treatments against NAFLD.
Collapse
Affiliation(s)
- Sebastian Prill
- DMPK, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Andrea Caddeo
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Guido Baselli
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Oveis Jamialahmadi
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Paola Dongiovanni
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Raffaela Rametta
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Kajsa P Kanebratt
- DMPK, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Arturo Pujia
- Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy
| | - Piero Pingitore
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | | | - Daniel Lindén
- Bioscience Diabetes, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
- Division of Endocrinology, Department of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Carl Whatling
- Translational Sciences, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Annika Janefeldt
- DMPK, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Mikael Kozyra
- Department of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Ingelman-Sundberg
- Department of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm, Sweden
| | - Luca Valenti
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Tommy B Andersson
- DMPK, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
- Department of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm, Sweden
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.
- Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy.
- Cardiology Department, Sahlgrenska University Hospital, Gothenburg, Sweden.
| |
Collapse
|
33
|
Xia MF, Bian H, Gao X. NAFLD and Diabetes: Two Sides of the Same Coin? Rationale for Gene-Based Personalized NAFLD Treatment. Front Pharmacol 2019; 10:877. [PMID: 31447675 PMCID: PMC6691129 DOI: 10.3389/fphar.2019.00877] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 07/10/2019] [Indexed: 12/14/2022] Open
Abstract
The prevalence of non-alcoholic fatty liver disease (NAFLD) has been increasing rapidly and at the forefront of worldwide concern. Characterized by excessive fat accumulation in the liver, NAFLD regularly coexists with metabolic disorders, including type 2 diabetes, obesity, and cardiovascular disease. It has been well established that the presence of NAFLD increases the incidence of type 2 diabetes, while diabetes aggravates NAFLD to more severe forms of steatohepatitis, cirrhosis, and hepatocellular carcinoma. However, recent progress on the genotype/phenotype relationships in NAFLD patients indicates the development of NAFLD with a relative conservation of glucose metabolism in individuals with specific gene variants, such as the patatin-like phospholipase domain-containing 3 (PNPLA3) and transmembrane 6 superfamily member 2 protein (TM6SF2) variants. This review will focus on the clinical and pathophysiological connections between NAFLD and type 2 diabetes and will also discuss a disproportionate progression of NAFLD and diabetes, and the different responses to lifestyle and drug intervention in NAFLD patients with specific gene variants that may give insight into personalized treatment for NAFLD.
Collapse
Affiliation(s)
- Ming-Feng Xia
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China
| | - Hua Bian
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.,Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China
| |
Collapse
|
34
|
Taliento AE, Dallio M, Federico A, Prati D, Valenti L. Novel Insights into the Genetic Landscape of Nonalcoholic Fatty Liver Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E2755. [PMID: 31375010 PMCID: PMC6695718 DOI: 10.3390/ijerph16152755] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 07/27/2019] [Accepted: 07/30/2019] [Indexed: 12/19/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD), the most common liver disorder worldwide, is epidemiologically associated with overweight, insulin resistance features and type 2 diabetes, and can progress to advanced liver fibrosis and hepatocellular carcinoma. Genetic factors play an important role in the development of NAFLD, which is a multifactorial disease. Several common naturally occurring variants modulating lipid and retinol metabolism in hepatocytes predispose to NAFLD development and progression, in particular those in PNPLA3, TM6SF2, MBOAT7, and HSD17B13. In addition, genetic variants that protect hepatic cells from oxidative stress modulate the susceptibility to progressive NAFLD. Although the molecular mechanisms linking these genetic variants with liver disease are not yet fully understood, hepatic fat has emerged as a major driver of the disease, while altered retinol metabolism and mitochondrial oxidative stress play a role in determining the development of advanced NAFLD.
Collapse
Affiliation(s)
- Alice Emma Taliento
- Translational Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico IRCCS, 20122 Milan, Italy
| | - Marcello Dallio
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
| | - Alessandro Federico
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Daniele Prati
- Translational Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico IRCCS, 20122 Milan, Italy
| | - Luca Valenti
- Translational Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico IRCCS, 20122 Milan, Italy.
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milano, Italy.
| |
Collapse
|
35
|
Teslovich TM, Kim DS, Yin X, Stancáková A, Jackson AU, Wielscher M, Naj A, Perry JRB, Huyghe JR, Stringham HM, Davis JP, Raulerson CK, Welch RP, Fuchsberger C, Locke AE, Sim X, Chines PS, Narisu N, Kangas AJ, Soininen P, Ala-Korpela M, Gudnason V, Musani SK, Jarvelin MR, Schellenberg GD, Speliotes EK, Kuusisto J, Collins FS, Boehnke M, Laakso M, Mohlke KL. Identification of seven novel loci associated with amino acid levels using single-variant and gene-based tests in 8545 Finnish men from the METSIM study. Hum Mol Genet 2019; 27:1664-1674. [PMID: 29481666 DOI: 10.1093/hmg/ddy067] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Accepted: 02/15/2018] [Indexed: 12/13/2022] Open
Abstract
Comprehensive metabolite profiling captures many highly heritable traits, including amino acid levels, which are potentially sensitive biomarkers for disease pathogenesis. To better understand the contribution of genetic variation to amino acid levels, we performed single variant and gene-based tests of association between nine serum amino acids (alanine, glutamine, glycine, histidine, isoleucine, leucine, phenylalanine, tyrosine, and valine) and 16.6 million genotyped and imputed variants in 8545 non-diabetic Finnish men from the METabolic Syndrome In Men (METSIM) study with replication in Northern Finland Birth Cohort (NFBC1966). We identified five novel loci associated with amino acid levels (P = < 5×10-8): LOC157273/PPP1R3B with glycine (rs9987289, P = 2.3×10-26); ZFHX3 (chr16:73326579, minor allele frequency (MAF) = 0.42%, P = 3.6×10-9), LIPC (rs10468017, P = 1.5×10-8), and WWOX (rs9937914, P = 3.8×10-8) with alanine; and TRIB1 with tyrosine (rs28601761, P = 8×10-9). Gene-based tests identified two novel genes harboring missense variants of MAF <1% that show aggregate association with amino acid levels: PYCR1 with glycine (Pgene = 1.5×10-6) and BCAT2 with valine (Pgene = 7.4×10-7); neither gene was implicated by single variant association tests. These findings are among the first applications of gene-based tests to identify new loci for amino acid levels. In addition to the seven novel gene associations, we identified five independent signals at established amino acid loci, including two rare variant signals at GLDC (rs138640017, MAF=0.95%, Pconditional = 5.8×10-40) with glycine levels and HAL (rs141635447, MAF = 0.46%, Pconditional = 9.4×10-11) with histidine levels. Examination of all single variant association results in our data revealed a strong inverse relationship between effect size and MAF (Ptrend<0.001). These novel signals provide further insight into the molecular mechanisms of amino acid metabolism and potentially, their perturbations in disease.
Collapse
Affiliation(s)
- Tanya M Teslovich
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Daniel Seung Kim
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Xianyong Yin
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alena Stancáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Adam Naj
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania, PA 19104, USA.,Departments of Biostatistics, and Epidemiology (DBE) and Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, PA 19104, USA
| | - John R B Perry
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Jeroen R Huyghe
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Heather M Stringham
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - James P Davis
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Chelsea K Raulerson
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Ryan P Welch
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Christian Fuchsberger
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Adam E Locke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Xueling Sim
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter S Chines
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Narisu Narisu
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Antti J Kangas
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland
| | - Pasi Soininen
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | | | - Mika Ala-Korpela
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.,Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Systems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.,Department of Epidemiology and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, School of Public Health and Preventive Medicine, The Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | - Vilmundur Gudnason
- Icelandic Heart Association and the Faculty of Medicine, University of Iceland, Kopavogur, Iceland
| | - Solomon K Musani
- University of Mississippi Medical Center, Jackson, MS 39213, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014 Oulu, Finland.,Biocenter Oulu, University of Oulu, 90014 Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania, PA 19104, USA
| | - Elizabeth K Speliotes
- Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Francis S Collins
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| |
Collapse
|
36
|
Liangpunsakul S, Chalasani N. Lipid mediators of liver injury in nonalcoholic fatty liver disease. Am J Physiol Gastrointest Liver Physiol 2019; 316:G75-G81. [PMID: 30383414 PMCID: PMC6383373 DOI: 10.1152/ajpgi.00170.2018] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) comprises a spectrum of histopathological phenotypes ranging from simple steatosis to more severe liver disease associated with cell injury, including nonalcoholic steatohepatitis (NASH), advanced fibrosis, and cirrhosis. Only a subset of patients with NAFLD develop NASH from yet incompletely understood mechanisms. Emerging data suggest lipid species other than triglycerides as contributors to the pathogenesis of NASH. In this mini review, we focus on the recent data on the mechanisms of NASH, focusing on these lipid mediators and their potential as therapeutic targets in NASH.
Collapse
Affiliation(s)
- Suthat Liangpunsakul
- 1Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana,2Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana,3Roudebush Veterans Administration Medical Center, Indianapolis, Indiana
| | - Naga Chalasani
- 1Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| |
Collapse
|
37
|
Dergunov AD, Litvinov DY, Bazaeva EV, Dmitrieva VG, Nosova EV, Rozhkova AV, Dergunova LV. Relation of High-Density Lipoprotein Charge Heterogeneity, Cholesterol Efflux Capacity, and the Expression of High-Density Lipoprotein-Related Genes in Mononuclear Cells to the HDL-Cholesterol Level. Lipids 2018; 53:979-991. [DOI: 10.1002/lipd.12104] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 10/12/2018] [Accepted: 10/15/2018] [Indexed: 12/12/2022]
Affiliation(s)
- Alexander D. Dergunov
- National Research Centre for Preventive Medicine; 10, Petroverigsky Street, 101990 Moscow Russia
| | - Dmitry Y. Litvinov
- National Research Centre for Preventive Medicine; 10, Petroverigsky Street, 101990 Moscow Russia
| | - Ekaterina V. Bazaeva
- National Research Centre for Preventive Medicine; 10, Petroverigsky Street, 101990 Moscow Russia
| | - Veronika G. Dmitrieva
- National Research Centre for Preventive Medicine; 10, Petroverigsky Street, 101990 Moscow Russia
- Institute of Molecular Genetics of the Russian Academy of Sciences, 2, Kurchatov Square, 123182; Moscow Russia
| | - Elena V. Nosova
- Institute of Molecular Genetics of the Russian Academy of Sciences, 2, Kurchatov Square, 123182; Moscow Russia
| | - Alexandra V. Rozhkova
- Institute of Molecular Genetics of the Russian Academy of Sciences, 2, Kurchatov Square, 123182; Moscow Russia
| | - Liudmila V. Dergunova
- Institute of Molecular Genetics of the Russian Academy of Sciences, 2, Kurchatov Square, 123182; Moscow Russia
| |
Collapse
|
38
|
Zhang X, Liu S, Dong Q, Xin Y, Xuan S. The Genetics of Clinical Liver Diseases: Insight into the TM6SF2 E167K Variant. J Clin Transl Hepatol 2018; 6:326-331. [PMID: 30271746 PMCID: PMC6160302 DOI: 10.14218/jcth.2018.00022] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 07/22/2018] [Accepted: 08/15/2018] [Indexed: 12/12/2022] Open
Abstract
The transmembrane 6 superfamily member 2 (TM6SF2) gene E167K variant (rs58542926) was identified by exome-wide association study as a nonsynonymous single nucleotide polymorphism associated with nonalcoholic fatty liver disease. The TM6SF2 E167K variant features a C-to-T substitution at nucleotide 499, encoding a glutamate with lysine change at codon 167 (E167K). TM6SF2 is markedly expressed in the liver, small intestine and kidney, and has been proposed as an important risk factor for diseases associated with lipid metabolism. Subsequently, multifunctional studies of the TM6SF2 E167K variant have been carried out in a spectrum of liver diseases, such as nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, fibrosis, cirrhosis, and viral hepatitis. This review summarizes the research status of the TM6SF2 E167K variant in different liver diseases and specific populations, and discusses the potential mechanisms of the TM6SF2 E167K variant's role in the progression of various liver diseases.
Collapse
Affiliation(s)
- Xiaoyu Zhang
- Department of Gastroenterology, Taishan Medical University, Taian, China
- Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao, China
| | - Shousheng Liu
- Digestive Disease Key Laboratory of Qingdao, Qingdao, China
- Central Laboratories, Qingdao Municipal Hospital, Qingdao, China
| | - Quanjiang Dong
- Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao, China
- Central Laboratories, Qingdao Municipal Hospital, Qingdao, China
| | - Yongning Xin
- Department of Gastroenterology, Taishan Medical University, Taian, China
- Department of Infectious Disease, Qingdao Municipal Hospital, Qingdao, China
- Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao, China
- Digestive Disease Key Laboratory of Qingdao, Qingdao, China
- *Correspondence to: Shiying Xuan, Department of Gastroenterology, Qingdao Municipal Hospital, 1 Jiaozhou Road, Qingdao, Shandong 266011, China. Tel: +86-532-88905508, Fax: +86-532-88905293, E-mail: ; Yongning Xin, Department of Infectious Disease, Qingdao Municipal Hospital, 1 Jiaozhou Road, Qingdao, Shandong 266011, China. Tel: +86-532-82789463, Fax: +86-532-85968434, E-mail:
| | - Shiying Xuan
- Department of Gastroenterology, Taishan Medical University, Taian, China
- Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao, China
- Digestive Disease Key Laboratory of Qingdao, Qingdao, China
- *Correspondence to: Shiying Xuan, Department of Gastroenterology, Qingdao Municipal Hospital, 1 Jiaozhou Road, Qingdao, Shandong 266011, China. Tel: +86-532-88905508, Fax: +86-532-88905293, E-mail: ; Yongning Xin, Department of Infectious Disease, Qingdao Municipal Hospital, 1 Jiaozhou Road, Qingdao, Shandong 266011, China. Tel: +86-532-82789463, Fax: +86-532-85968434, E-mail:
| |
Collapse
|
39
|
Dongiovanni P, Stender S, Pietrelli A, Mancina RM, Cespiati A, Petta S, Pelusi S, Pingitore P, Badiali S, Maggioni M, Mannisto V, Grimaudo S, Pipitone RM, Pihlajamaki J, Craxi A, Taube M, Carlsson LMS, Fargion S, Romeo S, Kozlitina J, Valenti L. Causal relationship of hepatic fat with liver damage and insulin resistance in nonalcoholic fatty liver. J Intern Med 2018; 283:356-370. [PMID: 29280273 PMCID: PMC5900872 DOI: 10.1111/joim.12719] [Citation(s) in RCA: 242] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Nonalcoholic fatty liver disease is epidemiologically associated with hepatic and metabolic disorders. The aim of this study was to examine whether hepatic fat accumulation has a causal role in determining liver damage and insulin resistance. METHODS We performed a Mendelian randomization analysis using risk alleles in PNPLA3, TM6SF2, GCKR and MBOAT7, and a polygenic risk score for hepatic fat, as instruments. We evaluated complementary cohorts of at-risk individuals and individuals from the general population: 1515 from the liver biopsy cohort (LBC), 3329 from the Swedish Obese Subjects Study (SOS) and 4570 from the population-based Dallas Heart Study (DHS). RESULTS Hepatic fat was epidemiologically associated with liver damage, insulin resistance, dyslipidemia and hypertension. The impact of genetic variants on liver damage was proportional to their effect on hepatic fat accumulation. Genetically determined hepatic fat was associated with aminotransferases, and with inflammation, ballooning and fibrosis in the LBC. Furthermore, in the LBC, the causal association between hepatic fat and fibrosis was independent of disease activity, suggesting that a causal effect of long-term liver fat accumulation on liver disease is independent of inflammation. Genetically determined hepatic steatosis was associated with insulin resistance in the LBC and SOS. However, this association was dependent on liver damage severity. Genetically determined hepatic steatosis was associated with liver fibrosis/cirrhosis and with a small increase in risk of type 2 diabetes in publicly available databases. CONCLUSION These data suggest that long-term hepatic fat accumulation plays a causal role in the development of chronic liver disease.
Collapse
Affiliation(s)
- P Dongiovanni
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy
| | - S Stender
- Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - A Pietrelli
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy.,Bioinformatic unit, Istituto Nazionale Genetica Molecolare, Milan, Italy
| | - R M Mancina
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - A Cespiati
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy
| | - S Petta
- Department of Gastroenterology, Università di Palermo, Palermo, Italy
| | - S Pelusi
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy
| | - P Pingitore
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - S Badiali
- Department of Surgery, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy
| | - M Maggioni
- Department of Pathology, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy
| | - V Mannisto
- Department of Gastroenterology, University of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - S Grimaudo
- Department of Gastroenterology, Università di Palermo, Palermo, Italy
| | - R M Pipitone
- Department of Gastroenterology, Università di Palermo, Palermo, Italy
| | - J Pihlajamaki
- Department of Medicine, University of Eastern Finland, Kuopio University Hospital, Kuopio, Finland.,Clinical Nutrition and Obesity Center, Kuopio University Hospital, Kuopio, Finland.,Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - A Craxi
- Department of Gastroenterology, Università di Palermo, Palermo, Italy
| | - M Taube
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - L M S Carlsson
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - S Fargion
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy.,Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - S Romeo
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.,Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy.,Cardiology Department, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - J Kozlitina
- McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - L Valenti
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Milan, Italy.,Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| |
Collapse
|
40
|
de Boer JF, Kuipers F, Groen AK. Cholesterol Transport Revisited: A New Turbo Mechanism to Drive Cholesterol Excretion. Trends Endocrinol Metab 2018; 29:123-133. [PMID: 29276134 DOI: 10.1016/j.tem.2017.11.006] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Revised: 11/26/2017] [Accepted: 11/29/2017] [Indexed: 12/31/2022]
Abstract
A fine-tuned balance between cholesterol uptake and excretion by the body is pivotal to maintain health and to remain free from the deleterious consequences of cholesterol accumulation such as cardiovascular disease. The pathways involved in intracellular and extracellular cholesterol transport are a subject of intense investigation and are being unraveled in increasing detail. In addition, insight into the complex interactions between cholesterol and bile acid metabolism has increased considerably in the last couple of years. This review provides an overview of the mechanisms involved in cholesterol uptake and excretion, with a particular emphasis on the most recent progress in this field. Special attention is given to the transintestinal cholesterol excretion (TICE) pathway, which was recently demonstrated to have a remarkably high transport capacity and to be sensitive to pharmacological modulation.
Collapse
Affiliation(s)
- Jan Freark de Boer
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Folkert Kuipers
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Albert K Groen
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Vascular Medicine, University of Amsterdam Academic Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
41
|
Eslam M, Valenti L, Romeo S. Genetics and epigenetics of NAFLD and NASH: Clinical impact. J Hepatol 2018; 68:268-279. [PMID: 29122391 DOI: 10.1016/j.jhep.2017.09.003] [Citation(s) in RCA: 585] [Impact Index Per Article: 97.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 09/01/2017] [Accepted: 09/04/2017] [Indexed: 02/07/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is now recognised as the most common liver disease worldwide. It encompasses a broad spectrum of conditions, from simple steatosis, through non-alcoholic steatohepatitis, to fibrosis and ultimately cirrhosis and hepatocellular carcinoma. A hallmark of NAFLD is the substantial inter-patient variation in disease progression. NAFLD is considered a complex disease trait such that interactions between the environment and a susceptible polygenic host background determine disease phenotype and influence progression. Recent years have witnessed multiple genome-wide association and large candidate gene studies, which have enriched our understanding of the genetic basis of NAFLD. Notably, the I148M PNPLA3 variant has been identified as the major common genetic determinant of NAFLD. Variants with moderate effect size in TM6SF2, MBOAT7 and GCKR have also been shown to have a significant contribution. The premise for this review is to discuss the status of research into important genetic and epigenetic modifiers of NAFLD progression. The potential to translate the accumulating wealth of genetic data into the design of novel therapeutics and the clinical implementation of diagnostic/prognostic biomarkers will be explored. Finally, personalised medicine and the opportunities for future research and challenges in the immediate post genetics era will be illustrated and discussed.
Collapse
Affiliation(s)
- Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, NSW, Australia.
| | - Luca Valenti
- Internal Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Policlinico Milano, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy.
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, The Sahlgrenska Academy, University of Gothenburg, Sweden.
| |
Collapse
|
42
|
Li TT, Li TH, Peng J, He B, Liu LS, Wei DH, Jiang ZS, Zheng XL, Tang ZH. TM6SF2: A novel target for plasma lipid regulation. Atherosclerosis 2018; 268:170-176. [PMID: 29232562 DOI: 10.1016/j.atherosclerosis.2017.11.033] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 11/07/2017] [Accepted: 11/30/2017] [Indexed: 02/08/2023]
|