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Giannakodimos A, Oikonomou E, Pantelidis P, Theofilis P, Katsiki N, Goliopoulou A, Zakynthinos GE, Korakas E, Kalogera V, Banach M, Lampadiari V, Kassi E, Ikonomidis I, Siasos G. Arterial stiffness as a complication of metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis. Expert Rev Gastroenterol Hepatol 2025; 19:413-426. [PMID: 39988816 DOI: 10.1080/17474124.2025.2471871] [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: 12/22/2024] [Revised: 02/11/2025] [Accepted: 02/21/2025] [Indexed: 02/25/2025]
Abstract
INTRODUCTION The purpose of this systematic review and meta-analysis is to investigate the association of metabolic dysfunction-associated steatotic liver disease (MASLD) with arterial stiffness and enlighten on potential cardiometabolic co-factors. METHODS A literature search in PubMed/Medline, Embase, Scopus, and Web of Science databases was conducted. All the observational studies comparing arterial stiffness indices between adults with Non-alcoholic Fatty Liver Disease (NAFLD), Metabolic Dysfunction Associated-Fatty Liver Disease (MAFLD), or MASLD and apparently healthy individuals with normal liver function were included. Pulse wave velocity (PWV) and augmentation index (AIx) were mainly used as arterial stiffness indices. RESULTS Fourty one unique studies were included in the systematic review, with 27 deemed eligible for meta-analysis. Patients with MASLD had increased carotid-femoral PWV (14 studies, Mean difference (MD): 0.96 m/s, 95% confidence interval (CI) 0.65-1.27, p < 0.001) compared with healthy individuals. This finding was independent from body mass index, triglycerides, high-density lipoprotein, systolic blood pressure, and fasting plasma glucose. Moreover, patients with MASLD had higher brachial-ankle PWV (13 studies, MD: 78.14 cm/s, 95% CI 60.37-95.90, p < 0.001) and AIx (7 studies, MD: 3.85%, 95% CI 0.87-6.82, p = 0.0195) compared with controls. CONCLUSIONS MASLD is correlated with increased arterial stiffness. This relation is unaffected by common cardiometabolic risk factors. REGISTRATION PROSPERO (ID: CRD42023468258).
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Affiliation(s)
- Alexios Giannakodimos
- 3rd Department of Cardiology, Sotiria Chest Disease Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelos Oikonomou
- 3rd Department of Cardiology, Sotiria Chest Disease Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Panteleimon Pantelidis
- 3rd Department of Cardiology, Sotiria Chest Disease Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Theofilis
- 1st Department of Cardiology, Hippokration General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Niki Katsiki
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
- School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - Athina Goliopoulou
- 3rd Department of Cardiology, Sotiria Chest Disease Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios E Zakynthinos
- 3rd Department of Cardiology, Sotiria Chest Disease Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Emmanouil Korakas
- 2nd Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasiliki Kalogera
- 3rd Department of Cardiology, Sotiria Chest Disease Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maciej Banach
- Department of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), Lodz, Poland
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vaia Lampadiari
- 2nd Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Eva Kassi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ignatios Ikonomidis
- 2nd Cardiology Department, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Gerasimos Siasos
- 3rd Department of Cardiology, Sotiria Chest Disease Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Petta S, Armandi A, Bugianesi E. Impact of PNPLA3 I148M on Clinical Outcomes in Patients With MASLD. Liver Int 2025; 45:e16133. [PMID: 39412170 PMCID: PMC11815615 DOI: 10.1111/liv.16133] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 09/23/2024] [Accepted: 10/02/2024] [Indexed: 01/03/2025]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) is a heterogenous clinical and histopathological entity, where multiple metabolic co-factors are intertwined with high interindividual variability. The impact and severity of each factor (including obesity and type 2 diabetes) define a systemic dysmetabolism that can lead to either advanced liver disease and its complication (including hepatocellular carcinoma and clinical events related to portal hypertension) or extrahepatic events: incident cardiovascular disease, chronic kidney disease and extrahepatic cancers. The balance between environmental factors and genetic susceptibility has unique implications in MASLD: the intermittent injury of metabolic co-factors, their fluctuation over time and their specific management, are counterbalanced by the presence of gene variants that can significantly impact the disease at multiple levels. The I148M variant in the PNPLA3 gene is the most investigated genetic susceptibility that induces a more severe steatohepatitis, enhanced fibrogenesis and can shape the incidence of long-term clinical events regardless of, or worsened by, other metabolic risk factors. METHODS AND RESULTS In this review, we will summarise the updated evidence on the natural history of MASLD accounting for classical metabolic risk factors, the role of PNPLA3 in clinical sub-phenotyping (e.g., 'lean MASLD'), impact on disease severity and fibrosis progression, as well as its role for prognostication, alone or in combination with non-invasive tools into polygenic risk scores.
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Affiliation(s)
- Salvatore Petta
- Sezione di Gastroenterologia, Di.Bi.M.I.SUniversity of PalermoPalermoItaly
| | - Angelo Armandi
- Division of Gastroenterology and Hepatology, Department of Medical SciencesUniversity of TurinTurinItaly
| | - Elisabetta Bugianesi
- Division of Gastroenterology and Hepatology, Department of Medical SciencesUniversity of TurinTurinItaly
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Mladenova IL, Tan EF, Ng JY, Sharma P. Non-alcoholic fatty liver disease (NAFLD) and its association to cardiovascular disease: A comprehensive meta-analysis. JRSM Cardiovasc Dis 2025; 14:20480040251325929. [PMID: 40123646 PMCID: PMC11930486 DOI: 10.1177/20480040251325929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 11/13/2024] [Accepted: 11/18/2024] [Indexed: 03/25/2025] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) affects up to nearly a third of the Western population and has been inconsistently associated with cardiovascular diseases (CVDs). Therefore, we conducted a comprehensive meta-analysis to quantify the correlation of NAFLD with all major vascular diseases, acute coronary syndrome (ACS), subclinical atherosclerosis and endothelial dysfunction. Methods We searched PubMed and Embase for studies looking at the relationship between NAFLD and cardiovascular diseases published through September 2023. The parameters we used to assess cardiovascular diseases include acute coronary syndrome, brachial flow-mediated dilatation (FMD), serum asymmetric dimethylarginine (ADMA), carotid intima-media thickness (CIMT), and carotid stenosis (>50%). Data from these studies were then collected and meta-analysis was performed using the random effects model. RevMan v5.4 was used for statistical analysis. Results We interrogated a total of 114 publications which met our inclusion criteria. NAFLD patients showed statistically significant reduction in FMD% [MD: -4.83 (95% CI: -5.84 to 3.81, p < .00001)] and increased serum ADMA [MD: 0.08 (95% CI: 0.05-0.11, p < .00001)]. Mean CIMT was also increased in NAFLD patients [MD 0.13 (95% CI: 0.12-0.14, p < .00001)]. NAFLD showed a higher prevalence of pathological CIMT [MD: 0.11 (95% CI: 0.10-0.12, p < .00001)] and increased carotid plaques [OR: 2.08 (95% CI: 1.52-2.86, p < .00001)]. Furthermore, we demonstrated statistically significant increase in cardiovascular diseases among NAFLD patients compared to controls [OR: 1.92 (95% CI: 1.53-2.41, p < .00001)]. Conclusion NAFLD is a strong predictor for endothelial dysfunction, subclinical atherosclerosis and cardiovascular disease. Further studies are required to determine whether incidental findings of fatty liver on abdominal ultrasonography should prompt the need for detailed assessment of other CVD risk factors.
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Affiliation(s)
| | - Eu Fon Tan
- Queen Mary University of London, London, UK
| | | | - Pankaj Sharma
- Institute of Cardiovascular Research, Royal Holloway University, Egham, Greater London, UK
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Białek W, Hryniewicz-Jankowska A, Czechowicz P, Sławski J, Collawn JF, Czogalla A, Bartoszewski R. The lipid side of unfolded protein response. Biochim Biophys Acta Mol Cell Biol Lipids 2024; 1869:159515. [PMID: 38844203 DOI: 10.1016/j.bbalip.2024.159515] [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: 02/28/2024] [Revised: 04/16/2024] [Accepted: 05/31/2024] [Indexed: 06/12/2024]
Abstract
Although our current knowledge of the molecular crosstalk between the ER stress, the unfolded protein response (UPR), and lipid homeostasis remains limited, there is increasing evidence that dysregulation of either protein or lipid homeostasis profoundly affects the other. Most research regarding UPR signaling in human diseases has focused on the causes and consequences of disrupted protein folding. The UPR itself consists of very complex pathways that function to not only maintain protein homeostasis, but just as importantly, modulate lipid biogenesis to allow the ER to adjust and promote cell survival. Lipid dysregulation is known to activate many aspects of the UPR, but the complexity of this crosstalk remains a major research barrier. ER lipid disequilibrium and lipotoxicity are known to be important contributors to numerous human pathologies, including insulin resistance, liver disease, cardiovascular diseases, neurodegenerative diseases, and cancer. Despite their medical significance and continuous research, however, the molecular mechanisms that modulate lipid synthesis during ER stress conditions, and their impact on cell fate decisions, remain poorly understood. Here we summarize the current view on crosstalk and connections between altered lipid metabolism, ER stress, and the UPR.
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Affiliation(s)
- Wojciech Białek
- Department of Biophysics, Faculty of Biotechnology, University of Wroclaw, Wroclaw, Poland
| | | | - Paulina Czechowicz
- Department of Biophysics, Faculty of Biotechnology, University of Wroclaw, Wroclaw, Poland
| | - Jakub Sławski
- Department of Biophysics, Faculty of Biotechnology, University of Wroclaw, Wroclaw, Poland
| | - James F Collawn
- Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, USA
| | - Aleksander Czogalla
- Department of Cytobiochemistry, Faculty of Biotechnology, University of Wroclaw, Wroclaw, Poland
| | - Rafał Bartoszewski
- Department of Biophysics, Faculty of Biotechnology, University of Wroclaw, Wroclaw, Poland.
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Yuan W, Ran Y, Wang J, Pei F, Cui L, Chen S, Wu S, Zhou L. Mediating effect of diabetes on the relationship between nonalcoholic fatty liver disease and atherosclerotic cardiovascular disease: a prospective cohort study. Eur J Gastroenterol Hepatol 2024; 36:1133-1140. [PMID: 39101442 DOI: 10.1097/meg.0000000000002794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/06/2024]
Abstract
OBJECTIVE This study explored the mediating effect of diabetes on the relationship between nonalcoholic fatty liver disease (NAFLD) and atherosclerotic cardiovascular disease (ASCVD). METHODS In this prospective community cohort study, 82 975 participants were enrolled, with the primary outcome being the incidence of new-onset ASCVD. Using the Cox proportional hazards model, the hazard ratio (HR) and 95% confidence interval (CI) for ASCVD occurrence were computed between NAFLD and non-NAFLD groups. The correlation between NAFLD and diabetes was assessed using a binary logistic regression model, and that between NAFLD, diabetes and ASCVD using a mediation model. RESULTS During follow-up, 9471 ASCVD cases were observed. Compared with individuals without NAFLD, those with NAFLD showed an increased ASCVD risk (HR: 1.424; 95% CI: 1.363-1.488; P < 0.001). Stratifying NAFLD based on metabolic subphenotypes revealed a higher ASCVD risk in the NAFLD combined with diabetes subgroup than in the non-NAFLD subgroup (HR: 1.960; 95% CI: 1.817-2.115; P < 0.001). NAFLD was positively associated with baseline diabetes (odds ratio: 2.983; 95% CI: 2.813-3.163; P < 0.001). Furthermore, NAFLD severity was positively correlated with diabetes risk. Mediation analysis indicated that diabetes partially mediated the effect of NAFLD on ASCVD incidence, accounting for 20.33% of the total effect. CONCLUSION NAFLD is an independent predictor of increased ASCVD risk, which may be slightly mediated by diabetes in patients with NAFLD. Evaluating NAFLD and diabetes may be crucial in the early screening and prevention of ASCVD.
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Affiliation(s)
- Wei Yuan
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University
- Tianjin Institute of Digestive Diseases
- Tianjin Key Laboratory of Digestive Diseases, Tianjin, Departments of
- Rheumatology and Immunology
| | - Ying Ran
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University
- Tianjin Institute of Digestive Diseases
- Tianjin Key Laboratory of Digestive Diseases, Tianjin, Departments of
| | | | | | | | - Shuohua Chen
- Cardiology, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Cardiology, Kailuan General Hospital, Tangshan, China
| | - Lu Zhou
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University
- Tianjin Institute of Digestive Diseases
- Tianjin Key Laboratory of Digestive Diseases, Tianjin, Departments of
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Cao L, An Y, Liu H, Jiang J, Liu W, Zhou Y, Shi M, Dai W, Lv Y, Zhao Y, Lu Y, Chen L, Xia Y. Global epidemiology of type 2 diabetes in patients with NAFLD or MAFLD: a systematic review and meta-analysis. BMC Med 2024; 22:101. [PMID: 38448943 PMCID: PMC10919055 DOI: 10.1186/s12916-024-03315-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 02/23/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) and metabolic-associated fatty liver disease (MAFLD) shares common pathophysiological mechanisms with type 2 diabetes, making them significant risk factors for type 2 diabetes. The present study aimed to assess the epidemiological feature of type 2 diabetes in patients with NAFLD or MAFLD at global levels. METHODS Published studies were searched for terms that included type 2 diabetes, and NAFLD or MAFLD using PubMed, EMBASE, MEDLINE, and Web of Science databases from their inception to December 2022. The pooled global and regional prevalence and incidence density of type 2 diabetes in patients with NAFLD or MAFLD were evaluated using random-effects meta-analysis. Potential sources of heterogeneity were investigated using stratified meta-analysis and meta-regression. RESULTS A total of 395 studies (6,878,568 participants with NAFLD; 1,172,637 participants with MAFLD) from 40 countries or areas were included in the meta-analysis. The pooled prevalence of type 2 diabetes among NAFLD or MAFLD patients was 28.3% (95% confidence interval 25.2-31.6%) and 26.2% (23.9-28.6%) globally. The incidence density of type 2 diabetes in NAFLD or MAFLD patients was 24.6 per 1000-person year (20.7 to 29.2) and 26.9 per 1000-person year (7.3 to 44.4), respectively. CONCLUSIONS The present study describes the global prevalence and incidence of type 2 diabetes in patients with NAFLD or MAFLD. The study findings serve as a valuable resource to assess the global clinical and economic impact of type 2 diabetes in patients with NAFLD or MAFLD.
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Affiliation(s)
- Limin Cao
- The Third Central Hospital of Tianjin, Tianjin, China
| | - Yu An
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Huiyuan Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Jinguo Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Wenqi Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Yuhan Zhou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Mengyuan Shi
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Wei Dai
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Yanling Lv
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Yanhui Lu
- School of Nursing, Peking University, 38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China.
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McPherson S, Armstrong MJ, Cobbold JF, Corless L, Anstee QM, Aspinall RJ, Barclay ST, Brennan PN, Cacciottolo TM, Goldin RD, Hallsworth K, Hebditch V, Jack K, Jarvis H, Johnson J, Li W, Mansour D, McCallum M, Mukhopadhya A, Parker R, Ross V, Rowe IA, Srivastava A, Thiagarajan P, Thompson AI, Tomlinson J, Tsochatzis EA, Yeoman A, Alazawi W. Quality standards for the management of non-alcoholic fatty liver disease (NAFLD): consensus recommendations from the British Association for the Study of the Liver and British Society of Gastroenterology NAFLD Special Interest Group. Lancet Gastroenterol Hepatol 2022; 7:755-769. [PMID: 35490698 PMCID: PMC7614852 DOI: 10.1016/s2468-1253(22)00061-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/16/2022] [Accepted: 02/22/2022] [Indexed: 12/12/2022]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is common, affecting approximately 25% of the general population. The evidence base for the investigation and management of NAFLD is large and growing, but there is currently little practical guidance to support development of services and delivery of care. To address this, we produced a series of evidence-based quality standard recommendations for the management of NAFLD, with the aim of improving patient care. A multidisciplinary group of experts from the British Association for the Study of the Liver and British Society of Gastroenterology NAFLD Special Interest Group produced the recommendations, which cover: management of people with, or at risk of, NAFLD before the gastroenterology or liver clinic; assessment and investigations in secondary care; and management in secondary care. The quality of evidence for each recommendation was evaluated by the Grading of Recommendation Assessment, Development and Evaluation tool. An anonymous modified Delphi voting process was conducted individually by each member of the group to assess the level of agreement with each statement. Statements were included when agreement was 80% or greater. From the final list of statements, a smaller number of auditable key performance indicators were selected to allow services to benchmark their practice. It is hoped that services will review their practice against our recommendations and key performance indicators and institute service development where needed to improve the care of patients with NAFLD.
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Affiliation(s)
- Stuart McPherson
- Liver Unit, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
| | - Matthew J Armstrong
- Liver Unit, Queen Elizabeth University Hospital Birmingham NHS Trust, Birmingham, UK; NIHR Biomedical Research Centre, University of Birmingham, Birmingham, UK
| | - Jeremy F Cobbold
- Oxford Liver Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; UK NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Lynsey Corless
- Department of Gastroenterology, Hepatology and Endoscopy, Hull University Teaching Hospitals, Hull, UK
| | - Quentin M Anstee
- Liver Unit, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Stephen T Barclay
- Walton Liver Clinic, Glasgow Royal Infirmary, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Paul N Brennan
- Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Tessa M Cacciottolo
- Liver Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK; Wellcome Trust/MRC Institute of Metabolic Science, Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | - Robert D Goldin
- Division of Digestive Diseases, Imperial College, London, UK
| | - Kate Hallsworth
- Liver Unit, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Kathryn Jack
- Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Helen Jarvis
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK; The Bellingham Practice, Northumberland, UK
| | - Jill Johnson
- Liver Unit, Queen Elizabeth University Hospital Birmingham NHS Trust, Birmingham, UK
| | - Wenhao Li
- Barts Liver Centre, Queen Mary University London and Barts Health NHS Trust, London, UK
| | - Dina Mansour
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK; Queen Elizabeth Hospital, Gateshead NHS Foundation Trust, Gateshead, UK
| | - Mary McCallum
- Digestive Disorders Department, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Ashis Mukhopadhya
- Digestive Disorders Department, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Richard Parker
- Leeds Liver Unit, St James's University Hospital Leeds, Leeds, UK
| | - Valerie Ross
- Barts Liver Centre, Queen Mary University London and Barts Health NHS Trust, London, UK
| | - Ian A Rowe
- Leeds Institute for Medical Research, University of Leeds, Leeds, UK
| | - Ankur Srivastava
- North Bristol Liver Unit, Southmead Hospital, North Bristol Trust, Bristol, UK
| | | | - Alexandra I Thompson
- Centre for Liver and Digestive Disorders, The Royal Infirmary, Edinburgh, Edinburgh, UK
| | - Jeremy Tomlinson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Emmanuel A Tsochatzis
- UCL Institute for Liver and Digestive Health, Royal Free Hospital and UCL, London, UK
| | - Andrew Yeoman
- Gwent Liver Unit, The Grange University Health Board, Anuerin Bevan Health Board, Wales, UK
| | - William Alazawi
- Barts Liver Centre, Queen Mary University London and Barts Health NHS Trust, London, UK
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Tang ASP, Chan KE, Quek J, Xiao J, Tay P, Teng M, Lee KS, Lin SY, Myint MZ, Tan B, Sharma VK, Tan DJH, Lim WH, Kaewdech A, Huang D, Chew NWS, Siddiqui MS, Sanyal AJ, Muthiah M, Ng CH. Non-alcoholic fatty liver disease increases risk of carotid atherosclerosis and ischemic stroke: An updated meta-analysis with 135,602 individuals. Clin Mol Hepatol 2022; 28:483-496. [PMID: 35232007 PMCID: PMC9293613 DOI: 10.3350/cmh.2021.0406] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/27/2022] [Accepted: 03/02/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND/AIMS Non-alcoholic fatty liver disease (NAFLD) is associated with the development of cardiovascular disease. While existing studies have examined cardiac remodeling in NAFLD, there has been less emphasis on the development of carotid atherosclerosis and stroke. We sought to conduct a meta-analysis to quantify the prevalence, risk factors, and degree of risk increment of carotid atherosclerosis and stroke in NAFLD. METHODS Embase and Medline were searched for articles relating to NAFLD, carotid atherosclerosis, and stroke. Proportional data was analysed using a generalized linear mixed model. Pairwise meta-analysis was conducted to obtain odds ratio or weighted mean difference for comparison between patients with and without NAFLD. RESULTS From pooled analysis of 30 studies involving 7,951 patients with NAFLD, 35.02% (95% confidence interval [CI], 27.36-43.53%) had carotid atherosclerosis with an odds ratio of 3.20 (95% CI, 2.37-4.32; P<0.0001). Pooled analysis of 25,839 patients with NAFLD found the prevalence of stroke to be 5.04% (95% CI, 2.74-9.09%) with an odds ratio of 1.88 (95% CI, 1.23-2.88; P=0.02) compared to non-NAFLD. The degree of steatosis assessed by ultrasonography in NAFLD was closely associated with risk of carotid atherosclerosis and stroke. Older age significantly increased the risk of developing carotid atherosclerosis, but not stroke in NAFLD. CONCLUSION This meta-analysis shows that a stepwise increment of steatosis of NAFLD can significantly increase the risk of carotid atherosclerosis and stroke development in NAFLD. Patients more than a third sufferred from carotid atherosclerosis and routine assessment of carotid atherosclerosis is quintessential in NAFLD.
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Affiliation(s)
- Ansel Shao Pin Tang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jingxuan Quek
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jieling Xiao
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Phoebe Tay
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Margaret Teng
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Keng Siang Lee
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Snow Yunni Lin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - May Zin Myint
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Benjamin Tan
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Vijay K Sharma
- Division of Neurology, Department of Medicine, National University Hospital, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Apichat Kaewdech
- Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Daniel Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Nicholas WS Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Arun J Sanyal
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Mark Muthiah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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9
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Jia X, Qi Y, Zheng R, Lin L, Hu C, Zhu Y, Cao Q, Wu X, Qi H, Wei R, Zhang Y, Xu M, Xu Y, Wang T, Zhao Z, Chen Y, Li M, Wang W, Bi Y, Lu J. Discordance of Apolipoprotein B, Non-HDL-Cholesterol, and LDL-Cholesterol Predicts Risk of Increased Arterial Stiffness and Elevated Carotid Intima-Media Thickness in Middle-Aged and Elderly Chinese Adults. Front Cardiovasc Med 2022; 9:906396. [PMID: 35665267 PMCID: PMC9157542 DOI: 10.3389/fcvm.2022.906396] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 04/21/2022] [Indexed: 02/02/2023] Open
Abstract
Background Apolipoprotein B (apoB) and non-high-density lipoprotein cholesterol (non-HDL-C) have been shown to predict cardiovascular disease (CVD) even in the case of low levels of low-density lipoprotein cholesterol (LDL-C). We aimed to investigate whether the discordance between LDL-C and apoB or non-HDL-C was associated with arterial stiffness and elevated carotid intima-media thickness (CIMT) in middle-aged and elderly adults. Methods A total of 5,279 Chinese adults free of CVD at baseline were included and followed with a mean follow-up of 4.3 years. Arterial stiffness was measured by brachial-ankle pulse wave velocity (baPWV) and pulse pressure (PP). The associations of apoB, non-HDL-C, and LDL-C with arterial stiffness or elevated CIMT were examined with logistic regression models using either continuous scales by restricted cubic splines or categories of concordant and discordant values defined by medians. Results High apoB but not LDL-C was associated with elevated baPWV or PP. High apoB, non-HDL-C, and LDL-C were all associated with elevated CIMT (p < 0.05). Individuals with low levels of LDL-C and discordantly high apoB or non-HDL-C compared to those with concordantly low apoB or non-HDL-C demonstrated higher risks of elevated baPWV [ORs (95% CI) of 1.40 (1.03–1.91) and 1.56 (1.12–2.18), respectively] and elevated PP [ORs (95% CI) of 1.61 (1.19–2.18) and 1.55 (1.12–2.15), respectively]. While, discordant high LDL-C with low apoB was associated with an increased risk of elevated CIMT (OR, 1.74; 95% CI, 1.13–2.69). Conclusion Discordance analysis revealed that elevated apoB or non-HDL-C was a better predictor of risk of arterial stiffness, whereas LDL-C for elevated CIMT.
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Affiliation(s)
- Xiaojing Jia
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xueyan Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ran Wei
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor-State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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10
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Pu Z, Lu J, Yang X. Emerging Roles of Circular RNAs in Vascular Smooth Muscle Cell Dysfunction. Front Genet 2022; 12:749296. [PMID: 35126447 PMCID: PMC8807483 DOI: 10.3389/fgene.2021.749296] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 12/02/2021] [Indexed: 12/19/2022] Open
Abstract
Atherosclerosis is the major pathophysiological basis of cerebrovascular and cardiovascular diseases. Vascular smooth muscle cells (VSMCs) constitute the main structure of vasculature and play important roles in maintaining vascular tone and blood pressure. Many biological processes and cellular signaling events involved in atherosclerogenesis have been shown to converge on deregulating VSMC functions. However, the molecular mechanisms underlying dysfunctional VSMC in atherosclerosis are still poorly defined. Recent evidence revealed that circular RNAs (circRNAs) are closely related to diseases such as degenerative diseases, tumor, congenital diseases, endocrine diseases and cardiovascular diseases. Several studies demonstrated that circRNAs (e.g., circACTA2, Circ-SATB2, circDiaph3, circ_0020397, circTET3, circCCDC66) played critical roles in the regulation of VSMC proliferation, migration, invasion, and contractile-to-synthetic phenotype transformation by sponging microRNAs (e.g., miR-548f-5p, miR-939, miR-148a-5p, miR-138, miR-351-5p, miR-342-3p). This review describes recent progress in the profiling of circRNAs by transcriptome analysis in VSMCs and their molecular functions in regulating VSMC proliferation and migration.
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Affiliation(s)
| | - Jingbo Lu
- *Correspondence: Jingbo Lu, ; Xiaohan Yang,
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11
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Wang J, Sun H, Wang Y, An Y, Liu J, Wang G. Glucose metabolism status modifies the relationship between lipoprotein(a) and carotid plaques in individuals with fatty liver disease. Front Endocrinol (Lausanne) 2022; 13:947914. [PMID: 36465632 PMCID: PMC9709428 DOI: 10.3389/fendo.2022.947914] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 10/31/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND AND AIMS Glucose and lipoprotein(a) [Lp(a)] have been recognized risk factors for atherosclerosis. The impact of both factors on fatty liver patients has not been studied. The aim of this study is to explore the role of high-level Lp(a) and different glucose metabolism statuses on carotid plaques in fatty liver patients. METHODS We selected 4,335 fatty liver patients in this cross-sectional study. The diagnosis of fatty liver disease and carotid plaques was made by ultrasound. Participants were divided into four groups based on glucose metabolism status (normal glucose regulation [NGR], lower bound of impaired fasting glucose [IFG-L], higher bound of impaired fasting glucose [IFG-H], diabetes mellitus [DM]) and then categorized into 12 subgroups according to Lp(a) concentrations. The association between variables was estimated by odds ratio (OR). RESULTS Carotid plaques were present in 1,613 (37.2%) fatty liver patients. Lp(a)≥30 mg/dL was associated with high risk of carotid plaques in those patients with IFG-L, IFG-H and DM (OR 1.934 [95% CI 1.033-3.618], 2.667 [1.378-5.162], 4.000 [2.219-7.210], respectively; p<0.05). Fatty liver patients with DM plus Lp(a)<10 mg/dL and 10≤Lp(a)<30 mg/dL were more vulnerable to carotid plaques (OR 1.563 [95% CI 1.090-2.241], 1.930 [1.279-2.914]), respectively, p<0.05). CONCLUSIONS Our study first suggested that high-level Lp(a) may raise the risk of carotid plaques in fatty liver patients with not only diabetes but also IFG, manifesting that Lp(a) may be helpful for the early discovery of subclinical atherosclerosis in fatty liver patients with impaired glucose metabolism.
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Affiliation(s)
- Jiaxuan Wang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Honglin Sun
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Ying Wang
- Physical Examination Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yu An
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Jia Liu
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Guang Wang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- *Correspondence: Guang Wang,
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12
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Prothrombotic and Inflammatory Markers in Elderly Patients with Non-Alcoholic Hepatic Liver Disease before and after Weight Loss: A Pilot Study. J Clin Med 2021; 10:jcm10214906. [PMID: 34768440 PMCID: PMC8585002 DOI: 10.3390/jcm10214906] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/19/2021] [Accepted: 10/21/2021] [Indexed: 12/14/2022] Open
Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is a pathological condition, ranging from fatty liver to chronic steatohepatitis (NASH), liver cirrhosis, and eventually to hepatocellular carcinoma. Recent findings suggest that patients with NAFLD have an increased risk of cardiovascular events and thromboembolism, which is independent of metabolic diseases that are frequently associated with NAFLD, such as diabetes, hyperlipidemia, and obesity. Methods: We evaluated 30 NAFLD patients, before and after weight loss. Plasma levels of C-reactive protein (CRP), fibrinogen, plasminogen activator inhibitor-1 (PAI-1), von Willebrand factor (VWF), homocysteine, coagulation protein S, Thrombin activable fibrinolysis inhibitor (TAFI), and factor VII (FVII) were assessed to evaluate whether they should be responsible of the prothrombotic state of NAFLD after weight loss. Results: At baseline, patients affected by NAFLD had a significantly higher levels of CRP, fibrinogen, PAI-1, VWF antigen, and FVII levels. After weight reduction, we observed a significant drop of inflammatory and prothrombotic markers, as well as glucometabolic, lipid profile. Conclusion: These findings provide evidence for a link between NAFLD/NASH and thromboembolism. The association seems to be linked with primitive thrombotic state and hypercoagulation due to increased levels of coagulation factors and reduced levels of PAI-1. This hypercoagulation state might explain increased levels of thrombosis and splanchnic thrombosis observed in NASH correlated cirrhosis.
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