1
|
Kim HJ, Kim KW, Jung CW, Lee JY, Choi JY, Kim BS, Kim MS, Yang J. Association of variabilities in body mass index and metabolic parameters with post-kidney transplantation renal outcomes. Sci Rep 2024; 14:26973. [PMID: 39505975 PMCID: PMC11541543 DOI: 10.1038/s41598-024-78079-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 10/28/2024] [Indexed: 11/08/2024] Open
Abstract
Metabolic syndrome is a significant risk factor for poor graft outcomes in kidney transplant (KT) patients. However, the effects of variability in metabolic parameters on graft outcomes in KT patients have not been completely elucidated. A total of 852 KT patients were included from the Korean Organ Transplantation Registry. The study exposure was variability in body mass index (BMI) or other metabolic parameters measured at 6 months, 1 year, and 2 years after KT. Patients were classified into tertiles according to the degree of variability. The primary outcome was a composite of adverse kidney outcomes, such as death-censored graft loss or ≥ 30% decline in estimated glomerular filtration rate. The adverse kidney outcomes occurred in 73 (8.6%) participants. The high-BMI variability group had a higher risk for adverse kidney outcomes compared to the low-variability group. High variabilities in triglyceride, fasting blood glucose, and systolic blood pressure were also associated with adverse kidney outcomes. Furthermore, high variability in metabolic syndrome-related composite indices, such as the triglyceride and glucose index and metabolic variability scores, showed a higher risk for adverse kidney outcomes. In conclusion, high variability in metabolic parameters could be associated with an increased risk of adverse kidney outcome in KT patients.
Collapse
Affiliation(s)
- Hyo Jeong Kim
- Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Kyung Won Kim
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Cheol Woong Jung
- Department of Surgery, Korea University College of Medicine, Seoul, Korea
| | - Jun Young Lee
- Department of Internal Medicine, Wonju Severance Christian Hospital, Yonsei University College of Medicine, Wonju, Korea
| | - Ji Yoon Choi
- Department of Surgery, Hanyang University Medical Center, Seoul, Korea
| | - Beom Seok Kim
- Division of Nephrology, Department of Internal Medicine, College of Medicine, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Myoung Soo Kim
- Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jaeseok Yang
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
- Division of Nephrology, Department of Internal Medicine, College of Medicine, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| |
Collapse
|
2
|
Low ZS, Chua D, Cheng HS, Tee R, Tan WR, Ball C, Sahib NBE, Ng SS, Qu J, Liu Y, Hong H, Cai C, Rao NCL, Wee A, Muthiah MD, Bichler Z, Mickelson B, Kong MS, Tay VS, Yan Z, Chen J, Ng AS, Yip YS, Vos MIG, Tan NA, Lim DL, Lim DXE, Chittezhath M, Yaligar J, Verma SK, Poptani H, Guan XL, Velan SS, Ali Y, Li L, Tan NS, Wahli W. The LIDPAD Mouse Model Captures the Multisystem Interactions and Extrahepatic Complications in MASLD. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2404326. [PMID: 38952069 PMCID: PMC11425234 DOI: 10.1002/advs.202404326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/22/2024] [Indexed: 07/03/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents an impending global health challenge. Current management strategies often face setbacks, emphasizing the need for preclinical models that faithfully mimic the human disease and its comorbidities. The liver disease progression aggravation diet (LIDPAD), a diet-induced murine model, extensively characterized under thermoneutral conditions and refined diets is introduced to ensure reproducibility and minimize species differences. LIDPAD recapitulates key phenotypic, genetic, and metabolic hallmarks of human MASLD, including multiorgan communications, and disease progression within 4 to 16 weeks. These findings reveal gut-liver dysregulation as an early event and compensatory pancreatic islet hyperplasia, underscoring the gut-pancreas axis in MASLD pathogenesis. A robust computational pipeline is also detailed for transcriptomic-guided disease staging, validated against multiple harmonized human hepatic transcriptomic datasets, thereby enabling comparative studies between human and mouse models. This approach underscores the remarkable similarity of the LIDPAD model to human MASLD. The LIDPAD model fidelity to human MASLD is further confirmed by its responsiveness to dietary interventions, with improvements in metabolic profiles, liver histopathology, hepatic transcriptomes, and gut microbial diversity. These results, alongside the closely aligned changing disease-associated molecular signatures between the human MASLD and LIDPAD model, affirm the model's relevance and potential for driving therapeutic development.
Collapse
Affiliation(s)
- Zun Siong Low
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Damien Chua
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Hong Sheng Cheng
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Rachel Tee
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Wei Ren Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Christopher Ball
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
| | - Norliza Binte Esmail Sahib
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Ser Sue Ng
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Jing Qu
- Department of Pathogen Biology, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yingzi Liu
- Intervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Haiyu Hong
- Department of Otolaryngology Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 Mei Hua East Road, Zhuhai, 519000, China
| | - Chaonong Cai
- Department of Otolaryngology Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 Mei Hua East Road, Zhuhai, 519000, China
| | | | - Aileen Wee
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore
| | - Mark Dhinesh Muthiah
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, 119074, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore, 119074, Singapore
| | - Zoë Bichler
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | | | - Mei Suen Kong
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Vanessa Shiyun Tay
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Zhuang Yan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Jiapeng Chen
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Aik Seng Ng
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DU, UK
| | - Yun Sheng Yip
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Marcus Ivan Gerard Vos
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Nicole Ashley Tan
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Dao Liang Lim
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Debbie Xiu En Lim
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Manesh Chittezhath
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Jadegoud Yaligar
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
- Singapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore
| | - Sanjay Kumar Verma
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
| | - Harish Poptani
- Centre for Preclinical Imaging, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7BE, UK
| | - Xue Li Guan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
| | - Sambasivam Sendhil Velan
- Metabolic Imaging Group, Institute of Bioengineering and Bioimaging, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, Singapore, 138667, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, 119074, Singapore
- Singapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore
| | - Yusuf Ali
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
- Singapore Eye Research Institute (SERI), Singapore General Hospital, Singapore, 168751, Singapore
| | - Liang Li
- Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Nguan Soon Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Walter Wahli
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore
- Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Toxalim (Research Centre in Food Toxicology), 180 Chemin de Tournefeuille, Toulouse, 1331, France
- Center for Integrative Genomics, Université de Lausanne, Le Génopode, Lausanne, 1015, Switzerland
| |
Collapse
|
3
|
Sogabe M, Okahis T, Kagawa M, Sei M, Ueda H, Yokoyama R, Kagemoto K, Tanaka H, Kida Y, Nakamura F, Tomonari T, Okamoto K, Miyamoto H, Sato Y, Nakasono M, Takayama T. Association of variabilities in body mass index and waist circumference with newly achieved remission of metabolic dysfunction-associated fatty liver disease. Diabetes Metab Syndr 2024; 18:103036. [PMID: 38754333 DOI: 10.1016/j.dsx.2024.103036] [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] [Received: 09/09/2023] [Revised: 05/01/2024] [Accepted: 05/03/2024] [Indexed: 05/18/2024]
Abstract
AIMS Although body weight reduction is recommended to ameliorate nonalcoholic fatty liver disease, the effects of body mass index (BMI) and waist circumference (WC) variability on newly achieved remission of metabolic dysfunction-associated fatty liver disease (MAFLD) remain unclear. We aimed to investigate the longitudinal association between BMI and WC variabilities and newly achieved MAFLD remission in both sexes. METHODS Among 26,952 patients, 1823 with MAFLD diagnosed by ultrasonography and with >2 health checkups over >2 years from April 2014 to March 2021 were included in this observational cohort study. A generalized estimation equation model analyzed the association between BMI and WC and newly achieved MAFLD remission according to repeated measures at baseline and the most recent stage. RESULTS Rates of MAFLD remission in male and female patients were 7.4 % and 6.0 %, respectively. Regarding decreased BMI variability, newly achieved MAFLD remission prevalence among the subgroups differed significantly between sexes (p < 0.001). In male patients, a decrease in BMI variability of ≥1.5 kg/m2 and WC variability of ≥4.2 cm had adjusted odds ratios (ORs) of 5.215 and 2.820, respectively, for newly achieved MAFLD remission. Among female patients, regular exercise and breakfast consumption were accelerating factors for newly achieved MAFLD remission. Non-invasive liver fibrosis scores significantly differed between MAFLD and newly achieved MAFLD remission, including in the subgroups (p < 0.01 and p < 0.001, respectively). CONCLUSIONS Reducing BMI and WC variabilities in male patients and improving lifestyle habits in female patients may accelerate MAFLD remission.
Collapse
Affiliation(s)
- Masahiro Sogabe
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan; Department of Internal Medicine, Shikoku Central Hospital of the Mutual Aid Association of Public School Teachers, 2233 Kawanoe-cho, Shikokuchuo City, Ehime, 799-0193, Japan.
| | - Toshiya Okahis
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan; Department of Internal Medicine, Shikoku Central Hospital of the Mutual Aid Association of Public School Teachers, 2233 Kawanoe-cho, Shikokuchuo City, Ehime, 799-0193, Japan
| | - Miwako Kagawa
- Department of Internal Medicine, Shikoku Central Hospital of the Mutual Aid Association of Public School Teachers, 2233 Kawanoe-cho, Shikokuchuo City, Ehime, 799-0193, Japan
| | - Motoko Sei
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan; Department of Internal Medicine, Shikoku Central Hospital of the Mutual Aid Association of Public School Teachers, 2233 Kawanoe-cho, Shikokuchuo City, Ehime, 799-0193, Japan
| | - Hiroyuki Ueda
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan; Department of Internal Medicine, Shikoku Central Hospital of the Mutual Aid Association of Public School Teachers, 2233 Kawanoe-cho, Shikokuchuo City, Ehime, 799-0193, Japan
| | - Reiko Yokoyama
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Kaizo Kagemoto
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Hironori Tanaka
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Yoshifumi Kida
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Fumika Nakamura
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Tetsu Tomonari
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Koichi Okamoto
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Hiroshi Miyamoto
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Yasushi Sato
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| | - Masahiko Nakasono
- Department of Internal Medicine, Tsurugi Municipal Handa Hospital, 234-1Nakayabu, Handaaza, Tsurugi-cho, Mimagun, Tokushima, 779-4401, Japan
| | - Tetsuji Takayama
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan
| |
Collapse
|
4
|
Charlot A, Bringolf A, Debrut L, Mallard J, Charles AL, Crouchet E, Duteil D, Geny B, Zoll J. Changes in Macronutrients during Dieting Lead to Weight Cycling and Metabolic Complications in Mouse Model. Nutrients 2024; 16:646. [PMID: 38474774 DOI: 10.3390/nu16050646] [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: 01/26/2024] [Revised: 02/13/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Weight cycling is a major challenge in obesity management. Caloric restriction is known to promote this phenomenon, but the impact of macronutrient changes during dieting remains unclear. This study aimed to determine the role of macronutrient changes in weight maintenance without caloric restriction by alternating between two hypercaloric diets: a high-carbohydrate, high-fat Western diet (WD) and a low-carbohydrate, high-fat diet (LCHDF). Obesity was induced in 8-week-old C57BL/6 male mice by 10 weeks of WD feeding. Then, the mice were subjected to 12 weeks of LCHFD interspersed with WD (I-WD), 3 periods of 2-week LCHFD followed by 2 periods of 3-week WD, or 12 weeks of continuous WD (C-WD). C-WD and I-WD mice were compared to standard diet (SD) mice. In the I-WD group, each LCHFD period decreased weight gain, but mice regained weight after WD resumption. I-WD mice exhibited obesity, dyslipidemia, and glucose intolerance, similarly to the C-WD mice. I-WD mice also developed nonalcoholic steatohepatitis, associated with an increase in type-III collagen gene expression and a decrease in FGF21 protein levels, in comparison with SD. I-WD mice developed weight cycling despite maintaining a high caloric consumption, suggesting that changes in macronutrients during dieting are also a trigger of weight regain.
Collapse
Affiliation(s)
- Anouk Charlot
- Biomedicine Research Center of Strasbourg (CRBS), UR 3072, "Mitochondrie, Stress Oxydant et Plasticité Musculaire", University of Strasbourg, 67000 Strasbourg, France
- Faculty of Sport Sciences, University of Strasbourg, 67000 Strasbourg, France
| | - Anthony Bringolf
- Biomedicine Research Center of Strasbourg (CRBS), UR 3072, "Mitochondrie, Stress Oxydant et Plasticité Musculaire", University of Strasbourg, 67000 Strasbourg, France
| | - Léa Debrut
- CNRS, University of Strasbourg, Inserm, IGBMC UMR 7104-UMR-S 1258, 67400 Illkirch, France
| | - Joris Mallard
- Biomedicine Research Center of Strasbourg (CRBS), UR 3072, "Mitochondrie, Stress Oxydant et Plasticité Musculaire", University of Strasbourg, 67000 Strasbourg, France
- Faculty of Sport Sciences, University of Strasbourg, 67000 Strasbourg, France
- Institute of Cancerology Strasbourg Europe (ICANS), 67200 Strasbourg, France
| | - Anne-Laure Charles
- Biomedicine Research Center of Strasbourg (CRBS), UR 3072, "Mitochondrie, Stress Oxydant et Plasticité Musculaire", University of Strasbourg, 67000 Strasbourg, France
- Faculty of Medicine, University of Strasbourg, 67000 Strasbourg, France
| | - Emilie Crouchet
- Institut de Recherche sur les Maladies Virales et Hépatiques UMR_S1110, University of Strasbourg, Inserm, 67000 Strasbourg, France
| | - Delphine Duteil
- CNRS, University of Strasbourg, Inserm, IGBMC UMR 7104-UMR-S 1258, 67400 Illkirch, France
| | - Bernard Geny
- Biomedicine Research Center of Strasbourg (CRBS), UR 3072, "Mitochondrie, Stress Oxydant et Plasticité Musculaire", University of Strasbourg, 67000 Strasbourg, France
- Faculty of Medicine, University of Strasbourg, 67000 Strasbourg, France
- Service de Physiologie et Explorations Fonctionnelles, University Hospital of Strasbourg, 67091 Strasbourg, France
| | - Joffrey Zoll
- Biomedicine Research Center of Strasbourg (CRBS), UR 3072, "Mitochondrie, Stress Oxydant et Plasticité Musculaire", University of Strasbourg, 67000 Strasbourg, France
- Faculty of Medicine, University of Strasbourg, 67000 Strasbourg, France
- Service de Physiologie et Explorations Fonctionnelles, University Hospital of Strasbourg, 67091 Strasbourg, France
| |
Collapse
|
5
|
Jang SY, Kim HJ, Chang JY. Association of changes in body mass index and waist circumference with cardiovascular risk in non-alcoholic fatty liver disease: A nationwide study. Dig Liver Dis 2023; 55:1509-1514. [PMID: 37419727 DOI: 10.1016/j.dld.2023.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/30/2023] [Accepted: 06/08/2023] [Indexed: 07/09/2023]
Abstract
BACKGROUND We investigated whether changes in body mass index (BMI) and waist circumference (WC) are associated with cardiovascular risk in patients with NAFLD using a nationwide dataset. METHODS Using the National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) data in Korea, a total of 19,057 subjects who underwent two consecutive medical check-ups (2009-2010 and 2011-2012) and who had a fatty-liver index (FLI) value of ≥ 60 were included in the analysis. Cardiovascular events were defined as the occurrence of stroke or transient ischemic attack, coronary heart disease, and cardiovascular death. RESULTS After multivariable adjustment, the risk of cardiovascular events was significantly lower in subjects with decreases in both BMI and WC (HR, 0.83; 95% CI, 0.69-0.99) and those with increased BMI and decreased WC (HR, 0.74; 95% CI, 0.59-0.94) when compared with those who showed increases in both BMI and WC. The effect of cardiovascular risk reduction among the group with increased BMI but decreased WC was particulary pronounced among those who had metabolic syndrome during the second check-up (HR, 0.63; 95% CI 0.43-0.93, p for interaction 0.02). CONCLUSIONS Changes in BMI and WC were significantly associated with cardiovascular risk in NAFLD patients. NAFLD patients with increased BMI and decreased WC had the lowest cardiometabolic risk.
Collapse
Affiliation(s)
- Se Young Jang
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Hwa Jung Kim
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jun Young Chang
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
6
|
Prattichizzo F, Frigé C, La Grotta R, Ceriello A. Weight variability and diabetes complications. Diabetes Res Clin Pract 2023; 199:110646. [PMID: 37001818 DOI: 10.1016/j.diabres.2023.110646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 03/24/2023] [Indexed: 03/31/2023]
Abstract
Body weight is a recognized risk factor for cardiovascular diseases (CVD). More recently, weight variability, i.e. the oscillation of body weight over time, has also been suggested to be independently associated with development of CVD and mortality in subjects without diabetes and in people with both type 1 and type 2 diabetes (T2D). In T2D, weight variability emerged as one of the most relevant risk factors for CVD and it was suggested to interact with the variability of other risk factors to identify people at high cardiovascular risk. In addition, weight variability seems also to confer a higher risk for microvascular complications in people with T2D. While the exact mechanism linking weight variability to CVD is unknown, evidence from experimental models suggests that weight cycling promote an enduring pro-inflammatory program in the adipose tissue. Here we review the clinical evidence relative to the association of weight variability with CVD and microvascular complications of diabetes. We then briefly summarize the alterations proposed to explain this association. Finally, we synthesize the possible strategies, e.g. specific dietetic regimens and available glucose-lowering drugs, to minimize weight fluctuations.
Collapse
Affiliation(s)
| | - Chiara Frigé
- IRCCS MultiMedica, Via Fantoli 16/15, Milan, Italy
| | | | | |
Collapse
|
7
|
Sánchez-Iñigo L, Navarro-González D, Martinez-Urbistondo D, Pastrana JC, Fernandez-Montero A, Martinez JA. Repercussions of absolute and time-rated BMI "yo-yo" fluctuations on cardiovascular stress-related morbidities within the vascular-metabolic CUN cohort. Front Endocrinol (Lausanne) 2023; 13:1087554. [PMID: 36699029 PMCID: PMC9868691 DOI: 10.3389/fendo.2022.1087554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/15/2022] [Indexed: 01/11/2023] Open
Abstract
Aims The association between body mass index (BMI) fluctuation and BMI fluctuation rate with cardiovascular stress morbidities in a Caucasian European cohort was evaluated to ascertain the impact of weight cycling. Methods A total of 4,312 patients of the Vascular-Metabolic CUN cohort (VMCUN cohort) were examined and followed up during 9.35 years ( ± 4.39). Cox proportional hazard ratio analyses were performed to assess the risk of developing cardiovascular stress-related diseases (CVDs) across quartiles of BMI fluctuation, measured as the average successive variability (ASV) (ASV = |BMIt0 - BMIt1| + |BMIt1 - BMIt2| + |BMIt2-BMIt3| +…+ |BMItn - 1 - BMItn|/n - 1), and quartiles of BMI fluctuation rate (ASV/year). Results There were 436 incident cases of CVD-associated events involving 40,323.32 person-years of follow-up. A progressively increased risk of CVD in subjects with greater ASV levels was found. Also, a higher level of ASV/year was significantly associated with an increased risk of developing CVD stress independent of confounding factors with a value of 3.71 (95% CI: 2.71-5.07) for those in the highest quartile and 1.82 (95% CI: 1.33-2.50) for those in the third quartile. Conclusions The BMI fluctuation rate seems to be a better predictor than BMI fluctuation of the potential development of cardiovascular stress morbidities. The time-rated weight fluctuations are apparently more determinant in increasing the risk of a CVD than the weight fluctuation itself, which is remarkable in subjects under "yo-yo" weight patterns for precision medicine.
Collapse
Affiliation(s)
| | | | | | - J. C. Pastrana
- Internal Medicine Department, Clínica Universidad de Navarra, Madrid, Spain
| | - A. Fernandez-Montero
- Department of Occupational Medicine, Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Health Research Institute of Navarra (IdiSNA), Pamplona, Spain
| | - J. A. Martinez
- Department Physiology and Nutrition, University of Navarra (UNAV), Pamplona, Spain
- Madrid Institutes of Advanced Studies (IMDEA) Food and Health Sciences, Madrid, Spain
- Centre of Biomedical Research in Pathophysiology of Obesity and Nutrition (CIBERObn), Madrid, Spain
| |
Collapse
|
8
|
Massey RJ, Siddiqui MK, Pearson ER, Dawed AY. Weight variability and cardiovascular outcomes: a systematic review and meta-analysis. Cardiovasc Diabetol 2023; 22:5. [PMID: 36624453 PMCID: PMC9830835 DOI: 10.1186/s12933-022-01735-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 12/31/2022] [Indexed: 01/11/2023] Open
Abstract
The association between body weight variability and the risk of cardiovascular disease (CVD) has been investigated previously with mixed findings. However, there has been no extensive study which systematically evaluates the current evidence. Furthermore, the impact of ethnicity and type 2 diabetes on this phenomena has not yet been investigated. Therefore, the aim of this study was to comprehensively evaluate the effect of weight variability on risk of CVD (any cardiovascular (CV) event, composite CV outcome, CV death, Stroke, Myocardial Infarction) and the influence of ethnicity and type 2 diabetes status on the observed association. A systematic review and meta-analysis was performed according to the meta-analyses of observational studies in epidemiology (MOOSE) guidelines. The electronic databases PubMed, Web of Science, and the Cochrane Library were searched for studies that investigated the relationship between body weight or BMI variability and CV diseases using Medical Subject Headings (MeSH) terms and keywords. The relative risks (RRs) for the outcomes were collected from studies, pooled, and analysed using a random-effects model to estimate the overall relative risk. Of 5645 articles screened, 23 studies with a total population of 15,382,537 fulfilled the prespecified criteria and were included. Individuals in the highest strata of body weight variability were found to have significantly increased risk of any CV event (RR = 1.27; 95% Confidence Interval (CI) 1.17-1.38; P < 0.0001; I2 = 97.28%), cardiovascular death (RR = 1.29; 95% CI 1.03-1.60; P < 0.0001; I2 = 55.16%), myocardial infarction (RR = 1.32; 95% CI 1.09-1.59; P = 0.0037; I2 = 97.14%), stroke (RR = 1.21; 95% CI 1.19-1.24; P < 0.0001; I2 = 0.06%), and compound CVD outcomes (RR = 1.36; 95% CI 1.08-1.73; P = 0.01; I2 = 92.41%). Similar RRs were observed regarding BMI variability and per unit standard deviation (SD) increase in body weight variability. Comparable effects were seen in people with and without diabetes, in White Europeans and Asians. In conclusion, body weight variability is associated with increased risk of CV diseases regardless of ethnicity or diabetes status. Future research is needed to prove a causative link between weight variability and CVD risk, as appropriate interventions to maintain stable weight could positively influence CVD.
Collapse
Affiliation(s)
- Robert J Massey
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Moneeza K Siddiqui
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Ewan R Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK
| | - Adem Y Dawed
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
| |
Collapse
|
9
|
Jitrukthai S, Kositamongkol C, Boonchai P, Mepramoon E, Ariyakunaphan P, Nimitpunya P, Srivanichakorn W, Chaisathaphol T, Washirasaksiri C, Auesomwang C, Sitasuwan T, Tinmanee R, Sayabovorn N, Charatcharoenwitthaya P, Phisalprapa P. Long-Term Outcomes Associated with NAFLD, ASCVD, and All-Cause Mortality of Patients with Metabolic Syndrome. J Clin Med 2022; 11:jcm11154627. [PMID: 35956240 PMCID: PMC9370024 DOI: 10.3390/jcm11154627] [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] [Received: 07/05/2022] [Revised: 07/28/2022] [Accepted: 08/05/2022] [Indexed: 11/30/2022] Open
Abstract
Metabolic syndrome (MetS) patients are at higher risk for nonalcoholic fatty liver disease (NAFLD), atherosclerotic cardiovascular diseases (ASCVD), and death. Given a lack of longitudinal data on patients with MetS in Southeast Asia, this study investigated the incidence of NAFLD and ASCVD and the all-cause mortality rate during a 10-year follow-up of Thai patients with MetS. Retrospective data were collected on 496 MetS patients with ultrasonography or transient elastography results. The patients had been followed up continuously by a university hospital between October 2011 and November 2021, and their mean age was 61.0 ± 10.9 years. Patients with secondary causes of hepatic steatosis were excluded. Cox proportional hazards regression models with time-varying covariates were adopted. During the 10-year follow-up, 17 patients (11.2%) developed NAFLD, and 27 (6.4%) developed ASCVD. The NAFLD and ASCVD incidence rates were 21.7 and 10.9 events per 1000 person years, respectively. The mortality rate was 14.2 deaths per 1000 person years. The prevalence of hypertension, dyslipidemia, ASCVD, NAFLD, advanced fibrosis, and cirrhosis at baseline was significantly higher in the nonsurvival group. The NAFLD incidence and mortality rate of patients with MetS were lower than those in previous studies. Intensive, holistic, and continuous care should be considered for better outcomes.
Collapse
Affiliation(s)
- Suchanart Jitrukthai
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Chayanis Kositamongkol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Punyisa Boonchai
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Euarat Mepramoon
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pinyapat Ariyakunaphan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pongpol Nimitpunya
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Weerachai Srivanichakorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Thanet Chaisathaphol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Chaiwat Washirasaksiri
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Chonticha Auesomwang
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Tullaya Sitasuwan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Rungsima Tinmanee
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Naruemit Sayabovorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Phunchai Charatcharoenwitthaya
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pochamana Phisalprapa
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Correspondence: ; Tel./Fax: +66-2-419-7190
| |
Collapse
|
10
|
Boonchai P, Kositamongkol C, Jitrukthai S, Phothirat S, Mepramoon E, Nimitpunya P, Srivanichakorn W, Chaisathaphol T, Washirasaksiri C, Auesomwang C, Sitasuwan T, Tinmanee R, Sayabovorn N, Charatcharoenwitthaya P, Phisalprapa P. Clinical Differences and Non-Alcoholic Fatty Liver Disease-Related Factors of Lean and Non-Lean Patients with Metabolic Syndrome. J Clin Med 2022; 11:jcm11092445. [PMID: 35566571 PMCID: PMC9103281 DOI: 10.3390/jcm11092445] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/19/2022] [Accepted: 04/24/2022] [Indexed: 12/10/2022] Open
Abstract
This study investigated differences in the clinical data and prevalence of lean and non-lean patients with non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS). Data on patients with MetS who had results of ultrasonography or transient elastography were collected from a Thai university hospital database. Patients with exclusion criteria for NAFLD diagnosis were excluded. Patients’ clinical characteristic and the performances of three non-invasive scoring systems (fatty liver index [FLI], fibrosis-4 [FIB-4] index, and NAFLD fibrosis score [NFS]) were evaluated. The 743 subjects were classified into two groups: lean MetS (131 patients) and non-lean MetS (612 patients). The NAFLD prevalence in the non-lean group (62.6%) was higher than that in the lean group (31.3%). The age-adjusted odds ratio was 3.43. Advanced fibrosis was detected in 7.6% of lean patients and 10.8% of non-lean patients. FLI was not sensitive enough to detect NAFLD in the lean group at a high cutoff, but it performed acceptably at a low cutoff. FIB-4 performed better than NFS in determining advanced fibrosis. NAFLD was more common in non-lean than lean patients. Lean patients with MetS had a relatively higher risk of NAFLD than the general population. FLI and FIB-4 index performed acceptably in both groups.
Collapse
Affiliation(s)
- Punyisa Boonchai
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Chayanis Kositamongkol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Suchanart Jitrukthai
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Sukumal Phothirat
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Euarat Mepramoon
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Pongpol Nimitpunya
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Weerachai Srivanichakorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Thanet Chaisathaphol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Chaiwat Washirasaksiri
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Chonticha Auesomwang
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Tullaya Sitasuwan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Rungsima Tinmanee
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Naruemit Sayabovorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
| | - Phunchai Charatcharoenwitthaya
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
| | - Pochamana Phisalprapa
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand; (P.B.); (C.K.); (S.J.); (S.P.); (E.M.); (P.N.); (W.S.); (T.C.); (C.W.); (C.A.); (T.S.); (R.T.); (N.S.)
- Correspondence: ; Tel./Fax: +66-2-419-7190
| |
Collapse
|
11
|
Zarghamravanbakhsh P, Frenkel M, Poretsky L. Metabolic causes and consequences of nonalcoholic fatty liver disease (NAFLD). Metabol Open 2021; 12:100149. [PMID: 34870138 PMCID: PMC8626571 DOI: 10.1016/j.metop.2021.100149] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/10/2021] [Accepted: 11/10/2021] [Indexed: 12/11/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a multifactorial metabolic disorder that was first described in 1980. It has been prevalent and on the rise for many years and is associated with other metabolic disorders such as obesity and type 2 diabetes mellitus (T2DM). NAFLD can be best described as a metabolic dysfunction that stems from insulin resistance-induced hepatic lipogenesis. This lipogenesis increases oxidative stress and hepatic inflammation and is often potentiated by genetic and gut microbiome dysfunction. As NAFLD progresses from simple steatosis to non-alcoholic steatohepatitis (NASH) and to cirrhosis and hepatocellular carcinoma (HCC), the odds of complications including cardiovascular disease (CVD), chronic kidney disease (CKD), and overall mortality increase. The aim of this review is to describe the metabolic causes and consequences of NAFLD while examining the risks that each stage of NAFLD poses. In this review, the etiology of "lean" NAFLD, the impact of obesity, T2DM, genetics, and microbiome dysbiosis on NAFLD progression are all explored. This review will also discuss the core issue behind the progression of NAFLD: insulin resistance (IR). Upon describing the causes and consequences of NAFLD, the effectiveness of diet modification, lifestyle changes, and glucagon-like peptide 1 receptor (GLP-1) agonists to retard NAFLD progression and stem the rate of complications is examined.
Collapse
Affiliation(s)
- Paria Zarghamravanbakhsh
- Division of Endocrinology, Department of Medicine, Lenox Hill Hospital, Northwell Health, 110 East 59th St #8B, New York, NY, 10022, USA
| | - Michael Frenkel
- The Gerald J. Friedman Diabetes Institute, Northwell Health, 110 East 59th St #8B, New York, NY, 10022, USA
| | - Leonid Poretsky
- Division of Endocrinology, Department of Medicine, Lenox Hill Hospital, Northwell Health, 110 East 59th St #8B, New York, NY, 10022, USA
- The Gerald J. Friedman Diabetes Institute, Northwell Health, 110 East 59th St #8B, New York, NY, 10022, USA
| |
Collapse
|
12
|
Association of Body Weight Variability with Adverse Cardiovascular Outcomes in Patients with Pre-Dialysis Chronic Kidney Disease. Nutrients 2021; 13:nu13103381. [PMID: 34684382 PMCID: PMC8539704 DOI: 10.3390/nu13103381] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 11/30/2022] Open
Abstract
To investigate the association of body weight variability (BWV) with adverse cardiovascular (CV) outcomes in patient with pre-dialysis chronic kidney disease (CKD), a total of 1867 participants with pre-dialysis CKD from Korean Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD) were analyzed. BWV was defined as the average absolute difference between successive values. The primary outcome was a composite of non-fatal CV events and all-cause mortality. Secondary outcomes were fatal and non-fatal CV events and all-cause mortality. High BWV was associated with increased risk of the composite outcome (adjusted hazard ratio (HR) 1.745, 95% confidence interval (CI) 1.065 to 2.847) as well as fatal and non-fatal CV events (adjusted HR 1.845, 95% CI 1.136 to 2.996) and all-cause mortality (adjusted HR 1.861, 95% CI 1.101 to 3.145). High BWV was associated with increased risk of fatal and non-fatal CV events, even in subjects without significant body weight gain or loss during follow-up periods (adjusted HR 2.755, 95% CI 1.114 to 6.813). In conclusion, high BWV is associated with adverse CV outcomes in patients with pre-dialysis CKD.
Collapse
|