1
|
Hu Y, Li N, Zhang R, Wang J, Fang D, Zhou Q, Zhang H, Cai H, Lu Y. Linghe granules reduces hepatic lipid accumulation in Non-alcoholic fatty liver disease through regulating lipid metabolism and redox balance. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2025; 141:156654. [PMID: 40220422 DOI: 10.1016/j.phymed.2025.156654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 12/15/2024] [Accepted: 03/15/2025] [Indexed: 04/14/2025]
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is a prevalent liver disorder with no approved pharmacological therapies. Linghe granules, a hospital-based formulation derived from a classic prescription, have demonstrated potential in reducing hepatic fat accumulation and improving metabolic health. This study provides a novel, comprehensive assessment of Linghe granules, integrating clinical, preclinical, and molecular analyses for NAFLD management. PURPOSE This study aims to evaluate the therapeutic efficacy of Linghe granules in alleviating NAFLD through an integrated approach. METHODS A clinical trial involving 40 patients with NAFLD was conducted, with participants divided into a control group (lifestyle interventions) and a treatment group (lifestyle interventions plus oral Linghe granules). Various metabolic and liver function indicators were assessed before and after treatment. Additionally, a high-fat diet (HFD) was used to induce a NAFLD model in rat, followed by treatment with different doses of Linghe granules. In vitro studies on HepG2 and L02 cells were performed to the effects of the granules on lipid metabolism. Transcriptomic profiling, Weighted Gene Co-expression Network Analysis (WGCNA), Dynamic Network Biomarkers (DNB) analysis, and molecular docking were employed to explore the underlying mechanisms. RESULTS Linghe granules led to significant reductions in BMI, liver enzymes (AST, ALT), triglycerides, LDL-C, and GGT in patients with NAFLD, accompanied by a notable decrease in hepatic fat accumulation. In the rat model, treatment improved liver weight, liver function, and lipid metabolism. In vitro, Linghe granules decreased lipid accumulation and regulated key lipid metabolism markers, including sterol regulatory element-binding protein 1 (SREBP-1), stearoyl-CoA desaturase 1 (SCD1), and fatty acid-binding protein 5 (FABP5). Mechanistic analyses revealed that Linghe granules modulated oxidative stress-related pathways and genes involved in lipid metabolism. CONCLUSION This study represents the first integrated evaluation of Linghe granules' efficacy and mechanisms in treating NAFLD, demonstrating their potential to improve liver function, reduce lipid accumulation, and modulate key metabolic markers. These results suggest that Linghe granules may serve as an effective adjunctive treatment for NAFLD.
Collapse
Affiliation(s)
- Yuting Hu
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ni'ao Li
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Rumian Zhang
- Xiamen Hospital of Traditional Chinese Medicine, Xiamen, 361015, China
| | - Jia Wang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Dongdong Fang
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Qianmei Zhou
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Hua Zhang
- Institute of Liver Diseases, Key Laboratory of Liver and Kidney Diseases (Ministry of Education), Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Hong Cai
- Xiamen Hospital of Traditional Chinese Medicine, Xiamen, 361015, China.
| | - Yiyu Lu
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| |
Collapse
|
2
|
Xia M, Lu Y, Yin F, Cao Z, Yao P, Li H. The external validation of Dallas Steatosis Index among Asian population: a useful tool for metabolic dysfunction-associated steatotic liver disease identification and prevention. J Gastroenterol 2025; 60:621-631. [PMID: 39994040 DOI: 10.1007/s00535-025-02220-4] [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: 05/01/2024] [Accepted: 01/20/2025] [Indexed: 02/26/2025]
Abstract
BACKGROUND The Dallas Steatosis Index (DSI) is a non-invasive tool (NIT) developed to detect the risk of metabolic dysfunction-associated steatotic liver disease (MASLD) in multi-ethnic populations, external validation in Asians has yet to be conducted. Therefore, we evaluated the ability of the DSI with the BMI classification of WPRO (DSI_WPRO) to identify MASLD in the Chinese population. In addition, we investigated the associations between the DSI_WPRO and the risk of MASLD in a longitudinal study. METHODS Baseline data from the Dongfeng-Tongji cohort were collected to investigate the ability of the DSI_WPRO to identify MASLD patients by ROC analysis. Furthermore, multivariate logistic regressions were performed to investigate the associations of the DSI_WPRO and MASLD risks in a 5-year follow-up of the DFTJ cohort study. RESULTS Among a total of 9,376 MASLD participants and 25,974 non-MASLD participants, the area under the curve (AUC) of the DSI_WPRO reached 0.777 after adjusting BMI classification, which is higher than other NITs in this study. In addition, we redefined the risk category and the screening proposal of MASLD in Asians with the DSI_WPRO. We found that the cutoff point of 0 has the best ability to recognize the presence or absence of MASLD. Furthermore, compared with the low DSI_WPRO (DSI_WPRO < 0), OR (95% CIs) of higher DSI_WPRO (DSI_WPRO ≥ 0) was 3.048 (2.827 ~ 3.285) for MASLD. CONCLUSION The DSI is a useful tool for MASLD identification and prevention. After more validation studies, DSI can be generalized in the Asian population.
Collapse
Affiliation(s)
- Mengyang Xia
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yixuan Lu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Feiyang Yin
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhiqiang Cao
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ping Yao
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Ministry of Education Key Laboratory of Environment, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hongxia Li
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Ministry of Education Key Laboratory of Environment, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| |
Collapse
|
3
|
Deng L, Huang J, Yuan H, Liu Q, Lou W, Yu P, Xie X, Chen X, Yang Y, Song L, Deng L. Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China. BMC Gastroenterol 2025; 25:172. [PMID: 40082778 PMCID: PMC11908037 DOI: 10.1186/s12876-025-03752-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Accepted: 03/03/2025] [Indexed: 03/16/2025] Open
Abstract
BACKGROUND The objective was to develop a biological age prediction model (NC-BA) for the Chinese population to enrich the relevant studies in this population. And to investigate the association between accelerated age and NAFLD. METHODS On the basis of the physical examination data of people without noninfectious chronic diseases (PWNCDs) in Nanchang, Jiangxi, China, the biological age measurement method was developed via three feature selection methods (all-subset regression, LASSO regression (LR), and recursive feature elimination) and three machine learning algorithms (generalized linear model (GLM), support vector machine, and deep generalized linear model (deep GLM)). Model performance was evaluated by the coefficient of determination (R²) and mean absolute error (MAE). National Health and Nutrition Examination Survey (NHANES) data were used to verify the model's generalizability. The standardized age deviation (SAD) was calculated to explore the associations between age acceleration and the risk of morbidity and mortality from NAFLD. RESULTS The physical examination data of 26,356 PWNCDs were collected in Nanchang. Among the 26 biomarkers, 26 and 24 biomarkers were associated with chronological age in the male and female groups, respectively (P < 0.05). The model combining the LR and deep GLM algorithms provided the most accurate measurement of chronological age (r = 0.58, MAE = 5.33) and was named the Nanchang-biological age (NC-BA) model. The generalizability of the NC-BA model was verified in the NHANES dataset (r = 0.57, MAE = 7.12). There was a significant correlation between NC-BA and existing biological age indicators (Klemera-Doubal method biological age (KDM-BA), PhenoAge, and homeostatic dysregulation (HD), r = 0.42-0.66, P < 0.05). The physical examination data of 1,663 and 1,445 patients with NAFLD from the Nanchang population and NHANES, respectively, were obtained. The SAD values of NAFLD patients were significantly greater than those of PWNCDs (P < 0.001). The SAD values of NAFLD patients with younger chronological ages were greater (P < 0.001). Higher SAD values were associated with a greater risk of all-cause mortality (HR = 1.73, P = 0.005). CONCLUSIONS This study provides a new model for biological age measurement in the Chinese population. There is a clear link between NAFLD and age acceleration.
Collapse
Affiliation(s)
- Lianrui Deng
- Affiliated Rehabilitation Hospital of Nanchang University, Nanchang, China
| | - Jing Huang
- School of Public Health, Jiangxi Medical College, Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang, China
| | - Hang Yuan
- Chaisang District Center for Disease Control and Prevention, Jiujiang, China
| | - Qiangdong Liu
- Center of Stomatology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
- The Institute of Periodontal Disease, JXHC Key Laboratory of Periodontology (The Second Affiliated Hospital of Nanchang University), Nanchang University, Nanchang, China
| | - Weiming Lou
- The Institute of Periodontal Disease, JXHC Key Laboratory of Periodontology (The Second Affiliated Hospital of Nanchang University), Nanchang University, Nanchang, China
| | - Pengfei Yu
- Big Data Research Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xiaohong Xie
- Sanming City Shaxian District General Hospital, Nanchang, China
| | - Xuyu Chen
- Physical Examination Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yang Yang
- Physical Examination Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Li Song
- Center of Stomatology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
- The Institute of Periodontal Disease, JXHC Key Laboratory of Periodontology (The Second Affiliated Hospital of Nanchang University), Nanchang University, Nanchang, China.
| | - Libin Deng
- School of Public Health, Jiangxi Medical College, Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang, China.
- The Institute of Periodontal Disease, JXHC Key Laboratory of Periodontology (The Second Affiliated Hospital of Nanchang University), Nanchang University, Nanchang, China.
| |
Collapse
|
4
|
Wang X, You J, Tang J, Li X, Wang R, Li Y, Yin C, Bai Y, Wang M, Zheng S. Is MAFLD better than NAFLD in predicting the risk of major cardiovascular diseases? Evidence from a 7-year prospective cohort study. Nutr Metab Cardiovasc Dis 2025; 35:103799. [PMID: 39674723 DOI: 10.1016/j.numecd.2024.103799] [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: 04/25/2024] [Revised: 11/01/2024] [Accepted: 11/15/2024] [Indexed: 12/16/2024]
Abstract
BACKGROUND AND AIMS Whether the new standard of metabolic dysfunction-associated fatty liver disease (MAFLD) has more pronounced clinical and population screening diagnostic value than nonalcoholic fatty liver disease (NAFLD) is unclear. This study evaluated the utility of MAFLD and NAFLD for predicting major cardiovascular disease (CVD) risk. METHODS AND RESULTS A prospective cohort study approach was utilized to collect 19,399 study participants without CVD at baseline who completed follow-up from the Jinchang cohort platform during 2011-2017. According to clinical ultrasonic diagnosis results and disease diagnosis criteria, the baseline population was divided into MAFLD, NAFLD, Both-FLD and No-FLD groups. Based on the multifactorial Cox proportional risk model to analyze the relationship between three kinds of patients and CVD, the score prediction model of CVD was constructed with reference to the Framingham Risk Score (FRS) and the model was evaluated. Compared with No-FLD, the HRs and 95 % CIs for the risk of CVD development in patients with NAFLD, MAFLD, and Both-FLD were 1.54 (1.34-1.76), 1.57 (1.37-1.79), and 1.62 (1.41-1.87), in that order. The scoring model showed a range of 5.90%-84.59 % risk of CVD in the three groups. As the risk score increased, the risk of developing CVD gradually increased. Evaluation metrics of all three models in the training set and validation set showed that the models have good prediction efficacy. CONCLUSION In terms of CVD risk and prognosis, MAFLD had no advantage over NAFLD. However, Both-FLD was found to predict a higher risk of CVD and to have superior predictive efficacy.
Collapse
Affiliation(s)
- Xue Wang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Jinlong You
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Jing Tang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Xiuqian Li
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Rui Wang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yuanyuan Li
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Chun Yin
- Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang, 737100, China
| | - Yana Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Minzhen Wang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
| | - Shan Zheng
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
| |
Collapse
|
5
|
Zhang J, Wang J, Zhou X, Chen S, Li Y, Ke Y, Li Y, Yu C, Chen Y. Serum autotaxin positively associates with hypertension in postmenopausal women: a single center study in China. J Hypertens 2025; 43:420-427. [PMID: 39526689 DOI: 10.1097/hjh.0000000000003922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 10/10/2024] [Indexed: 11/16/2024]
Abstract
AIM Autotaxin is an adipokine involved in metabolic disorders. The aim of the current study was to evaluate serum autotaxin levels in hypertensive postmenopausal women and establish a relationship between autotaxin and other comorbidities in this special group. METHODS This single-center study included postmenopausal women who received annual health examinations at the First Affiliated Hospital, College of Medicine, Zhejiang University in Zhejiang, China. The metabolic and demographic characteristics of the subjects, including age, sex, height, weight, blood pressure, and biochemical indices, were collected. The serum autotaxin level was measured via ELISA. The Kolmogorov-Smirnov test, Student's t test, Mann-Whitney U test, χ2 test, receiver operating characteristic (ROC) curve analysis, Spearman correlation analysis and multivariate logistic regression analysis were adopted for statistical analysis. RESULTS This pilot observational study included 25 hypertensive postmenopausal women and 25 age-matched normotensive controls. Hypertensive patients presented significant metabolic disturbances with greater comorbidities such as nonalcoholic fatty liver disease, obesity, overweight, diabetes, hypertriglyceridemia and hyperuricemia ( P < 0.05), impaired renal health with higher uric acid levels ( P < 0.001), and slightly elevated creatinine levels ( P = 0.156) with lower estimated glomerular filtration rates (eGFRs) ( P = 0.195). The serum autotaxin level was markedly greater in the hypertensive group (239.0±59.6 ng/ml vs. 192.7 ± 49.0 ng/ml; P < 0.01) and was positively associated with systolic blood pressure; diastolic blood pressure; and alanine transaminase, triglycerides (TG), creatinine, and uric acid levels and inversely associated with the eGFR ( P < 0.05) among postmenopausal women. Serum autotaxin levels positively predicted hypertension, with an AU-ROC of 0.750 [95% confidence interval (CI): 0.613-0.888] and a Youden index of 0.480 at a cutoff of 225 ng/ml. In the multivariate logistic regression analysis, after adjustment for demographic and metabolic parameters (including age, BMI, ALT, TB, uric acid, FBG, TG, LDL and creatinine), autotaxin (ATX) remained independently positively correlated with the risk of hypertension [odds ratio: 1.016, 95% CI 1.001-1.031; P < 0.05). CONCLUSIONS Among postmenopausal women, the serum autotaxin level is significantly elevated in the hypertensive group compared with age-matched normotensive controls. ATX is related to multiple metabolic disorders and renal health, suggesting that autotaxin has potential as a multiorgan therapeutic target for cardiovascular-metabolic-renal disorders.
Collapse
Affiliation(s)
| | | | | | | | - Yu Li
- Department of Gastroenterology
| | - Yini Ke
- Department of Rheumatology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | | | | | - Yi Chen
- Department of Gastroenterology
| |
Collapse
|
6
|
Zhao Y, Li JZ, Liu YG, Zhu YJ, Zhang Y, Zheng WW, Ma L, Li J, Wang CY. Clinical features and prognosis of drug-induced liver injury in patients with non-alcoholic fatty liver. World J Hepatol 2025; 17:101741. [PMID: 40027577 PMCID: PMC11866136 DOI: 10.4254/wjh.v17.i2.101741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 11/28/2024] [Accepted: 12/25/2024] [Indexed: 02/20/2025] Open
Abstract
BACKGROUND Acute drug-induced liver injury (DILI) events caused by chronic liver disease are relatively common. Some researchers believe that nonalcoholic fatty liver (NAFL) increases the overall risk of DILI. The clinical characteristics and prognosis of DILI in the context of NAFL disease (NAFLD) are still unclear. Therefore, hospitalized patients with NAFLD combined with DILI at the Tianjin Second People's Hospital were included in this study. The clinical manifestations, classifications, severities, laboratory indicators, and clinical outcomes of the enrolled patients were analyzed, and the clinical characteristics and prognoses of the NAFL + DILI patients were evaluated. AIM To investigate the clinical characteristics and prognosis of DILI in the context of NAFL. METHODS Eighty-nine patients diagnosed with DILI and 110 patients diagnosed with both DILI and NAFL at the Tianjin Second People's Hospital were enrolled. Clinical data, including demographic characteristics, clinical features, laboratory test results, pathology findings, autoantibody titers, suspected drugs, and outcomes, were collected from the two groups of patients. All enrolled patients were followed up to determine the liver function recovery time. RESULTS Compared with the patients in the DILI group, those in the NAFL + DILI group had higher body mass indices; Controlled Attenuation Parameter scores; and triglyceride, total cholesterol, low-density lipoprotein, and insulin levels. The levels of the cytokines interleukin-4 and complement complement c3 (C3) were also greater in the NAFL + DILI group than in the DILI group. The proportions of patients with cholestatic-type DILI (16.4% vs 4.5%), cholestasis seen on pathoscopy (40.9% vs 25.8%), grade 2 or above DILI (48.18% vs 40.45%), and a recovery time for liver function ranging from 90 to 180 days (30.6% vs 15.5%) were greater in the NAFL + DILI group than in the DILI group. All of the abovementioned differences between the groups were statistically significant (P < 0.05). The autoantibody positivity rates did not significantly differ between the two groups (P > 0.05), and the proportions of patients who progressed to chronic drug hepatitis or autoimmune hepatitis were not significantly different between the two groups (both P > 0.05). CONCLUSION In the context of NAFL, DILI is more likely to be cholestatic, with a greater degree of liver injury, a longer recovery time, and more pronounced expression of immune factors.
Collapse
Affiliation(s)
- Ying Zhao
- Graduate School, Tianjin Medical University, Tianjin 300070, China
| | - Jian-Zhou Li
- Diagnosis and Treatment Center of High Altitude Digestive Disease, Xining Second People's Hospital, Xining 810003, Qinghai Province, China
| | - Yong-Gang Liu
- Department of Pathology, Tianjin Second People's Hospital, Tianjin 300110, China
| | - Yu-Jin Zhu
- Graduate School, Tianjin Medical University, Tianjin 300070, China
| | - Yan Zhang
- Graduate School, Tianjin Medical University, Tianjin 300070, China
| | - Wen-Wen Zheng
- Graduate School, Tianjin Medical University, Tianjin 300070, China
| | - Lin Ma
- Graduate School, Tianjin Medical University, Tianjin 300070, China
| | - Jia Li
- Department of Gastroenterology, Tianjin Second People's Hospital, Tianjin 300110, China
| | - Chun-Yan Wang
- Department of Gastroenterology, Tianjin Second People's Hospital, Tianjin 300110, China.
| |
Collapse
|
7
|
Sun Y, Miao X, Hu M, Xie X, Liu S, Song Z, Deng J, Xu F, Li M, He Y, Leng S. Remnant cholesterol and its variability independent of low density lipoprotein cholesterol predict metabolic dysfunction associated steatotic liver disease. Sci Rep 2025; 15:4455. [PMID: 39910118 PMCID: PMC11799198 DOI: 10.1038/s41598-025-88000-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Accepted: 01/23/2025] [Indexed: 02/07/2025] Open
Abstract
This study aimed to determine whether remnant cholesterol (RC) and its variability can predict the onset of metabolic dysfunction-associated steatotic liver disease (MASLD) independently of low-density lipoprotein cholesterol (LDL-C) levels. A longitudinal cohort study involving 43,065 participants who underwent at least two physical examinations was conducted. This study used Cox proportional hazards models to assess the relationships among RC quartile levels (Q1-Q4), visit-to-visit variability, and the risk of MASLD. This variability was quantified using several metrics: standard deviation (SD), logSD, average real variability (ARV), logARV, mean absolute deviation (MAD), and logMAD. Concurrently, this study utilized a combined analysis of RC and LDL-C groups to assess the independent risk of MASLD associated with RC. During a mean visit-to-visit of 3.19 years (SD 2.06 years), 8374 patients (19.45%) developed MASLD. Compared with Q1, Q4 was associated with a significantly greater risk of MASLD (hazard ratio [HR] 1.309, 95% confidence interval [CI] 1.220-1.403, P < 0.001). The fully adjusted Cox model revealed that the HRs of SD, logSD, ARV, logARV, MAD and logMAD were 1.400 (95% CI 1.305-1.502), 1.278 (95% CI 1.188-1.374), 1.152 (95% CI 1.079-1.229), 1.183 (95% CI 1.140-1.227), 1.578 (95% CI 1.433-1.737) and 1.263 (95% CI 1.175-1.358), respectively. In both LDL-C subgroups (≥ 3.4 mmol/L and < 3.4 mmol/L), high baseline RC was associated with elevated MASLD risk (HR 1.208, 95% CI 1.148-1.270, P < 0.001; HR 1.246, 95% CI 1.129-1.374, P < 0.001). RC levels were independently associated with MASLD in healthy individuals, irrespective of LDL-C level. The variability of RC during visit-to-visit periods provides a predictive marker for identifying individuals at heightened risk of MASLD.
Collapse
Affiliation(s)
- Yuting Sun
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- Department of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, Liaoning, China
| | - Xinlei Miao
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
| | - Manling Hu
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- Department of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, Liaoning, China
| | - Xiaoling Xie
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- School of Public Health, Dalian Medical University, Dalian, 116000, Liaoning, China
| | - Shuang Liu
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- School of Public Health, Dalian Medical University, Dalian, 116000, Liaoning, China
| | - Ziping Song
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- Department of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, Liaoning, China
| | - Jiayi Deng
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- Department of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, Liaoning, China
| | - Fei Xu
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- School of Public Health, Dalian Medical University, Dalian, 116000, Liaoning, China
| | - Meng Li
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- School of Public Health, Dalian Medical University, Dalian, 116000, Liaoning, China
| | - Yangxuan He
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China
- Department of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, Liaoning, China
| | - Song Leng
- Health Management Center, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China.
- Department of Gastroenterology, The Second Hospital of Dalian Medical University, Dalian, 116023, Liaoning, China.
| |
Collapse
|
8
|
Xue J, Zhao L, Shao L, Zhang H, Feng Y, Shuai P. Higher risk of carotid plaque among lean individuals with non-alcoholic fatty liver disease: A retrospective study. PLoS One 2025; 20:e0316997. [PMID: 39899517 PMCID: PMC11790118 DOI: 10.1371/journal.pone.0316997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Accepted: 12/19/2024] [Indexed: 02/05/2025] Open
Abstract
BACKGROUND Lean individual with non-alcoholic fatty liver disease (L-NAFLD) is a prominent area of research, yet its pathogenesis and association with other diseases such as atherosclerotic cardiovascular disease remain uncertain. OBJECT A retrospective study, investigate the association between non-alcoholic fatty liver disease (NAFLD) and carotid plaque (CP) in lean [body mass index (BMI) <24Kg/m2] and non-lean (BMI≥24Kg/m2) populations, as well as identify the related influence factors. METHOD 3,587 participants were eligible and categorized into 4 groups based on the presence with CP and BMI, binary logistic regression analysis was utilized alongside other statistical methods. RESULTS L-NAFLD participants had a 1.395-fold higher risk of CP compared to lean individuals without NAFLD. Age, gender, systolic blood pressure, low-density lipoprotein cholesterol, fasting blood glucose, and Fibrosis-4 index (FIB-4) were identified as independent risk factors with cutoff values lower than the normal upper limits. However, this association was not observed among non-lean participants, regardless of confounding factors adjustment. Moreover, the impact of FIB-4 on the association of NAFLD and CP was more significant in lean CP participants (OR = 1.360 for 1.30 ~ 2.67, and OR = 2.002 for >2.67~<3.48) than in non-lean CP ones. CONCLUSION The L-NAFLD population had a higher risk of CP, while lean CP individuals experienced more severe liver fibrosis. Implementing stricter management of risk factors may improve the health status of high-risk populations.
Collapse
Affiliation(s)
- Jiangfeng Xue
- Department of Health Management, The People’s Hospital of Yubei District of Chongqing, Chongqing, China
| | - Lun Zhao
- Department of Digestive System Disease, The People’s Hospital of Yubei District of Chongqing, Chongqing, China
| | - Liang Shao
- Department of Sohome Health Management, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, Sichuan Province, China
| | - Huiwang Zhang
- Department of Health Management, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, Sichuan Province, China
| | - Yewei Feng
- Department of Health Management, The People’s Hospital of Yubei District of Chongqing, Chongqing, China
| | - Ping Shuai
- Department of Health Management, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, Sichuan Province, China
| |
Collapse
|
9
|
Qin Y, Huang X, Lin J, Pan L, Liang Q, Li W. Analysis of Factors Related to Pulmonary Nodules in Patients With Fatty Liver: A Large-Scale Cohort Study Based on a Physical Examination Population. Int J Gen Med 2025; 18:247-260. [PMID: 39839238 PMCID: PMC11748034 DOI: 10.2147/ijgm.s495396] [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: 09/27/2024] [Accepted: 01/12/2025] [Indexed: 01/23/2025] Open
Abstract
Purpose People with fatty liver are at high risk for pulmonary nodules, but the underlying mechanism is unclear. This study aimed to investigate the occurrence of lung nodules in fatty liver patients and explore influencing factors. Patients and Methods We retrospectively analyzed 57,119 individuals who underwent health checkups at the People's Hospital of Guangxi from May 2020 to May 2024. Patients with fatty liver were divided into pulmonary nodule and no pulmonary nodule groups. Univariate and multifactorial analyses were conducted using physical examination data, laboratory test indexes, and imaging information. Logistic regression analysis was used to identify independent predictors of pulmonary nodules in fatty liver patients. Results A total of 20,042 patients with fatty liver were included in the study, with 12,334 (61.5%) in the lung nodule group and 7708 (38.5%) in the non-lung nodule group. Age, gender, systolic and diastolic blood pressure were significantly higher in the pulmonary nodule group, while body weight, waist circumference, hemoglobin, uric acid, and glutamyltransferase were lower. Multifactorial logistic regression analysis showed that male gender, body weight, age, and diastolic blood pressure were significant factors influencing lung nodule development in fatty liver patients. Conclusion Fatty liver disease is independently associated with an increased incidence of pulmonary nodules, highlighting its importance in lung cancer screening and prevention.
Collapse
Affiliation(s)
- Yan Qin
- Health Management Center, People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, People’s Republic of China
| | - Xiaozhi Huang
- Health Management Center, People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, People’s Republic of China
| | - Jiali Lin
- Health Management Research Institute, People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, People’s Republic of China
| | - Liuxian Pan
- Health Management Center, People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, People’s Republic of China
| | - Qiuyu Liang
- Health Management Research Institute, People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, People’s Republic of China
| | - Wei Li
- Health Management Center, People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, People’s Republic of China
| |
Collapse
|
10
|
Luo H, Xing L, Fu T, Xiao S, Fan L. Occupational stress trajectories and metabolic dysfunction-associated steatotic liver disease among female nurses: a prospective Cohort Study. BMC Public Health 2024; 24:3188. [PMID: 39550545 PMCID: PMC11569610 DOI: 10.1186/s12889-024-20742-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 11/14/2024] [Indexed: 11/18/2024] Open
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prominent cause of chronic liver disease, and occupational stress may serve as a potential risk factor. This study aims to assess the association between occupational stress trajectories and incident MASLD among Chinese female nurses. METHODS We conducted a prospective longitudinal study using data from the Nurse' Health Cohort Study, involving 1,113 female nurses, free of MASLD at baseline (2018). Occupational stress was measured using the Chinese Nurse Job Stress Scale at four time points. Group-based trajectory modeling was used to identify distinct stress trajectories. Through doctors' diagnoses, we assessed incident MASLD over a subsequent 6-year period from 2019 to 2024. Cox proportional hazards regression models evaluated the association of stress trajectories and MASLD risk, adjusting for demographics, work-related factors, and medical conditions. RESULTS During follow-up, 256 nurses reported incident physician-diagnosed MASLD. Three occupational stress trajectories were identified: moderate decreasing (36.4%), moderate stable (55.9%), and moderate increasing (7.7%). Participants in the moderate increasing stress trajectory had a significantly higher risk of developing MASLD (adjusted HR: 3.14, 95% CI: 2.19-4.49, p < .001) compared to those in the moderate stable trajectory. This association between stress trajectory and MASLD risk was not modified by age or BMI (pinteraction>0.50). CONCLUSIONS AND RELEVANCE The study concludes that increasing stress levels over time are associated with a higher incidence of MASLD. These findings underscore the importance of stress management interventions in reducing the risk of MASLD progression. Further research is needed to explore the underlying mechanisms and to develop targeted strategies for stress reduction in clinical settings.
Collapse
Affiliation(s)
- Hanxiao Luo
- Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
- Department of Nursing, China Medical University, Shenyang, Liaoning, China
| | - Linlin Xing
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Tongtong Fu
- Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Shiqi Xiao
- Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Ling Fan
- Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
- Department of Nursing, China Medical University, Shenyang, Liaoning, China.
| |
Collapse
|
11
|
Yang RX, Zheng RD, Fan JG. The "Chinese Approach" Towards Diagnosis and Management of Fatty Liver Diseases: Seek Common Ground While Reserving Differences. J Dig Dis 2024; 25:634-637. [PMID: 39865929 DOI: 10.1111/1751-2980.13327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2024] [Accepted: 12/29/2024] [Indexed: 01/28/2025]
Affiliation(s)
- Rui Xu Yang
- Center for Fatty Liver, Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Dan Zheng
- Diagnosis and Treatment Center for Liver Diseases, Zhengxing Hospital, Zhangzhou, Fujian Province, China
| | - Jian Gao Fan
- Center for Fatty Liver, Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Shanghai, China
| |
Collapse
|
12
|
Ivancovsky Wajcman D, Byrne CJ, Dillon JF, Brennan PN, Villota-Rivas M, Younossi ZM, Allen AM, Crespo J, Gerber LH, Lazarus JV. A narrative review of lifestyle management guidelines for metabolic dysfunction-associated steatotic liver disease. Hepatology 2024:01515467-990000000-00998. [PMID: 39167567 DOI: 10.1097/hep.0000000000001058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 07/25/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatotic liver disease management guidelines have been published worldwide; we aimed to summarize, categorize, and compare their lifestyle intervention recommendations. APPROACH AND RESULTS We searched metabolic dysfunction-associated steatotic liver disease/NAFLD management guidelines published between January 1, 2013, and June 31, 2024, through databases including PubMed/MEDLINE, Cochrane, and CINAHL. In total, 35 qualifying guidelines were included in the final analysis. Guideline recommendations were categorized into 5 domains (ie, weight reduction goals, physical activity, nutrition, alcohol, and tobacco smoking) and were ranked based on how frequently they appeared. A recommendation was defined as widely adopted if recommended in ≥24 (≥66.6%) of the guidelines. These included increasing physical activity; reducing body weight by 7%-10% to improve steatohepatitis and/or fibrosis; restricting caloric intake; undertaking 150-300 or 75-150 minutes/week of moderate or vigorous-intensity physical activity, respectively; and decreasing consumption of commercially produced fructose. The least mentioned topics, in ≤9 of the guidelines, evaluated environmental determinants of health, mental health, referring patients for psychological or cognitive behavioral therapy, using digital health interventions, and assessing patients' social determinants of health. CONCLUSIONS Most guidelines recommend weight reduction through physical activity and improving nutrition, as these have proven positive effects on health outcomes when sustained. However, gaps regarding mental health and the social and environmental determinants of metabolic dysfunction-associated steatotic liver disease were found. To optimize behavioral modifications and treatment, we recommend carrying out studies that will provide further evidence on social support, environmental factors, and mental health, as well as further exploring digital health interventions.
Collapse
Affiliation(s)
- Dana Ivancovsky Wajcman
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
- The Global NASH Council, Washington, District of Columbia, USA
| | - Christopher J Byrne
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - John F Dillon
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Paul N Brennan
- The Global NASH Council, Washington, District of Columbia, USA
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Marcela Villota-Rivas
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Zobair M Younossi
- The Global NASH Council, Washington, District of Columbia, USA
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA
| | - Alina M Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Javier Crespo
- Liver Unit, Digestive Disease Department, Marqués de Valdecilla University Hospital, Santander, Cantabria University, Spain
| | - Lynn H Gerber
- The Global NASH Council, Washington, District of Columbia, USA
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA
| | - Jeffrey V Lazarus
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
- The Global NASH Council, Washington, District of Columbia, USA
- Department of Health Policy and Management, City University of New York Graduate School of Public Health and Health Policy (CUNY SPH), New York, New York, USA
- Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| |
Collapse
|
13
|
Xie J, Lin P, Hou L, Miao M, Zhu Z, Li Y, Yu C, Xu C, Xu L. Risk of incident type 2 diabetes in male NAFLD and NAFLD-free smokers: a 7-year post-cessation study. Diabetol Metab Syndr 2024; 16:192. [PMID: 39118126 PMCID: PMC11308574 DOI: 10.1186/s13098-024-01435-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 07/31/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND We aimed to investigate the post-cessation T2DM risk in male NAFLD and NAFLD-free smokers in a 7-year cohort study. METHODS The study population was male adults who underwent annual health checkups in a 7-year cohort study. Recent quitters were categorized into four groups based on their weight gain during follow-up: < 0 kg, 0-1.9 kg, 2.0-3.9 kg, and ≥ 4.0 kg. Cox proportional hazard models, adjusted for various variables, were used to estimate hazard ratios (HRs) for the association between post-cessation weight gain and incident T2DM in NAFLD and NAFLD-free individuals. RESULTS At baseline, we included 1,409 NAFLD and 5150 NAFLD-free individuals. During a total of 39,259 person-years of follow-up, 222 (15.8%) NAFLD patients and 621 (12.1%) NAFLD-free participants quit smoking, with the corresponding means (standard deviations) of post-cessation weight gain being 2.24 (3.26) kg and 1.15 (3.51) kg, respectively. Among NAFLD individuals, compared to current smokers, the fully adjusted HRs (95% CI) for incident T2DM were 0.41 (0.06-3.01), 2.39 (1.21-4.70), 4.48 (2.63-7.63), and 6.42 (3.68-11.23) for quitters with weight gains < 0 kg, 0.0-1.9 kg, 2.0-3.9 kg, and ≥ 4.0 kg, respectively. For NAFLD-free individuals, we only observed a significant association between post-cessation weight gain ≥ 4.0 kg and the risk of incident T2DM (P < 0.001). Further analysis revealed that the impact of post-cessation weight gain on T2DM risk was not affected by alcohol consumption or obesity status at baseline. CONCLUSIONS Mild post-cessation weight gain significantly increased the risk of T2DM in male NAFLD patients but not in male NAFLD-free individuals. Therefore, it is recommended that individuals with NAFLD manage their weight after quitting smoking.
Collapse
Affiliation(s)
- Jiarong Xie
- Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Haishu District, Ningbo, 315000, China
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, China
| | - Pengyao Lin
- Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Haishu District, Ningbo, 315000, China
| | - Linxiao Hou
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, China
| | - Min Miao
- Department of Internal Medicine, Zhenhai Lianhua Hospital, Ningbo, China
| | - Zhongwei Zhu
- Department of Internal Medicine, Zhenhai Lianhua Hospital, Ningbo, China
| | - Youming Li
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, China
| | - Chaohui Yu
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, China
| | - Chengfu Xu
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China.
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, China.
| | - Lei Xu
- Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Haishu District, Ningbo, 315000, China.
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China.
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, China.
| |
Collapse
|
14
|
Zhang JF, Cai FQ, Zhang XC, Ye Q. Monocyte to High-density Lipoprotein Cholesterol Ratio as a Predictor of Nonalcoholic Fatty Liver Disease in Childhood Obesity. Curr Med Sci 2024; 44:692-697. [PMID: 39096480 DOI: 10.1007/s11596-024-2919-6] [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: 06/01/2023] [Accepted: 07/09/2024] [Indexed: 08/05/2024]
Abstract
OBJECTIVE Inflammation is involved in the development and progression of nonalcoholic fatty liver disease (NAFLD). The monocyte to high-density lipoprotein cholesterol ratio (MHR) has emerged as a marker for various inflammation-related diseases. The aim of the present study was to investigate the association between the MHR and NAFLD in a population with childhood obesity. METHODS Based on hepatic ultrasound, a total of 504 children with obesity (357 with NAFLD and 147 without NAFLD) were included in the study. The correlation between the MHR and NAFLD risk factors was assessed by Pearson's and Spearman's analyses. Multivariate stepwise logistic regression analyses were conducted to explore the association between the MHR and the risk of NAFLD. RESULTS The MHR in patients with NAFLD was significantly greater than that in patients without NAFLD [0.52 (0.44-0.67) versus 0.44 (0.34-0.57), P<0.001]. Multivariate stepwise logistic regression analysis demonstrated that the MHR [odds ratio (OR): 1.033, 95% confidence interval (CI): 1.015-1.051; P<0.001] was an independent predictor of NAFLD in childhood obesity patients, as were age (OR: 1.205, 95% CI: 1.059-1.371; P=0.005], waist circumference [OR: 1.037, 95% CI: 1.008-1.067; P=0.012], and alanine transaminase [OR: 1.067, 95% CI: 1.045-1.089; P<0.001]. Additionally, MHR quartiles showed a significant positive association with the incidence of NAFLD after adjusting for potential confounding factors. CONCLUSION The present study showed that the MHR may serve as an available and useful indicator of NAFLD in individuals with childhood obesity.
Collapse
Affiliation(s)
- Jun-Feng Zhang
- Department of Laboratory Medicine, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, China
| | - Feng-Qing Cai
- Department of Laboratory Medicine, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, China
| | - Xiu-Cai Zhang
- Department of Laboratory Medicine, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, China
| | - Qing Ye
- Department of Laboratory Medicine, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310052, China.
| |
Collapse
|
15
|
Cai Y, Chen J, Deng X, Wang B, Huang J, Lian N, Lian N. Triglyceride-glucose index and combined indicators: effective indicators for screening NAFLD in snoring patients. BMC Pulm Med 2024; 24:359. [PMID: 39049008 PMCID: PMC11270774 DOI: 10.1186/s12890-024-03166-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 07/12/2024] [Indexed: 07/27/2024] Open
Abstract
AIMS Nonalcoholic fatty liver disease (NAFLD) is a common complication in snoring patients, especially in patients with obstructive sleep apnea syndrome (OSA). Triglyceride-glucose (TyG) index was a simple indicator of metabolic status and a surrogate marker of insulin resistance. This study aimed to explore the relationship between NAFLD and TyG index in snoring patients. METHODS A retrospective study was conducted. The successive snoring patients enrolled in the Sleep Center of the First Affiliated Hospital of Fujian Medical University and had abdominal ultrasonography were included. The clinical characteristics of patients in different quartile TyG groups were compared. The relationship of the TyG index and NAFLD were valued via logistic regression models and restricted cubic spline analysis. The value of TyG index in predicting NAFLD was determined by receiver operating characteristic curve (ROC curve). RESULTS A total of 463 NAFLD cases were found among the 654 snoring patients. TyG index was a risk factor of NAFLD in snoring patients (OR = 2.38, 95% CI = 1.71-3.36). The risk of NAFLD was much higher in patients with the highest quartile of TyG index (OR = 5.12, 95% CI = 2.85-9.22), compared with the lowest quartile group. Restricted cubic spline (RCS) analysis showed a significant dose-response relationship between TyG index and risk of NAFLD (p for non-linearity < 0.001). A combination of TyG, neck circumference and ESS score presented the acceptable AUC for the detection of NAFLD in snoring patients (0.746, 95% CI 0.701-0.790, p < 0.001). CONCLUSION The TyG index was a risk factor of NAFLD in snoring patients. A combination of TyG, neck circumferences and ESS score could act as a convenient and effective indicator for screening NAFLD in snoring patients.
Collapse
Affiliation(s)
- Yuqing Cai
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jia Chen
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Xiaoyu Deng
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Biying Wang
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jiefeng Huang
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Ningfang Lian
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Ningfang Lian
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
| |
Collapse
|
16
|
Xie Y, Jin Y, Wen J, Li G, Huai X, Duan Y, Ni F, Fu J, Li M, Li L, Yan M, Cao L, Xiao W, Yang H, Wang ZZ. A novel Alisma orientale extract alleviates non-alcoholic steatohepatitis in mice via modulation of PPARα signaling pathway. Biomed Pharmacother 2024; 176:116908. [PMID: 38850668 DOI: 10.1016/j.biopha.2024.116908] [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: 03/24/2024] [Revised: 06/04/2024] [Accepted: 06/06/2024] [Indexed: 06/10/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD), particularly advanced non-alcoholic steatohepatitis (NASH), leads to irreversible liver damage. This study investigated the therapeutic effects and potential mechanism of a novel extract from traditional Chinese medicine Alisma orientale (Sam.) Juzep (AE) on free fatty acid (FFA)-induced HepG2 cell model and high-fat diet (HFD) + carbon tetrachloride (CCl4)-induced mouse model of NASH. C57BL/6 J mice were fed a HFD for 10 weeks. Subsequently, the mice were injected with CCl4 to induce NASH and simultaneously treated with AE at daily doses of 50, 100, and 200 mg/kg for 4 weeks. At the end of the treatment, animals were fasted for 12 h and then sacrificed. Blood samples and liver tissues were collected for analysis. Lipid profiles, oxidative stress, and histopathology were examined. Additionally, a polymerase chain reaction (PCR) array was used to predict the molecular targets and potential mechanisms involved, which were further validated in vivo and in vitro. The results demonstrated that AE reversed liver damage (plasma levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), hepatocyte ballooning, hepatic steatosis, and NAS score), the accumulation of hepatic lipids (TG and TC), and oxidative stress (MDA and GSH). PCR array analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that AE protects against NASH by regulating the adipocytokine signaling pathway and influencing nuclear receptors such as PPARα. Furthermore, AE increased the expression of peroxisome proliferator-activated receptor gamma coactivator-1α (PPARGC1α) and reversed the decreased expression of PPARα in NASH mice. Moreover, in HepG2 cells, AE reduced FFA-induced lipid accumulation and oxidative stress, which was dependent on PPARα up-regulation. Overall, our findings suggest that AE may serve as a potential therapeutic approach for NASH by inhibiting lipid accumulation and reducing oxidative stress specifically through the PPARα pathway.
Collapse
Affiliation(s)
- Yan Xie
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Kanion School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210046, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Yimin Jin
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Kanion School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210046, PR China
| | - Jianhui Wen
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Guiping Li
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Xue Huai
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Yueyang Duan
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Fuyong Ni
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Juan Fu
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Ming Li
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Liang Li
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Ming Yan
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Liang Cao
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Wei Xiao
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 200120, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China
| | - Hao Yang
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 200120, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China.
| | - Zhen-Zhong Wang
- State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Lianyungang, Jiangsu 222001, PR China; Kanion School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210046, PR China; Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, Jiangsu 222001, PR China.
| |
Collapse
|
17
|
Liu Z, Jin P, Liu Y, Zhang Z, Wu X, Weng M, Cao S, Wang Y, Zeng C, Yang R, Liu C, Sun P, Tian C, Li N, Zeng Q. A comprehensive approach to lifestyle intervention based on a calorie-restricted diet ameliorates liver fat in overweight/obese patients with NAFLD: a multicenter randomized controlled trial in China. Nutr J 2024; 23:64. [PMID: 38872173 PMCID: PMC11170812 DOI: 10.1186/s12937-024-00968-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 06/06/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is a globally increasing health epidemic. Lifestyle intervention is recommended as the main therapy for NAFLD. However, the optimal approach is still unclear. This study aimed to evaluate the effects of a comprehensive approach of intensive lifestyle intervention (ILI) concerning enhanced control of calorie-restricted diet (CRD), exercise, and personalized nutrition counseling on liver steatosis and extrahepatic metabolic status in Chinese overweight and obese patients with NAFLD. METHODS This study was a multicenter randomized controlled trial (RCT) conducted across seven hospitals in China. It involved 226 participants with a body mass index (BMI) above 25. These participants were randomly assigned to two groups: the ILI group, which followed a low carbohydrate, high protein CRD combined with exercise and intensive counseling from a dietitian, and a control group, which adhered to a balanced CRD along with exercise and standard counseling. The main measure of the study was the change in the fat attenuation parameter (FAP) from the start of the study to week 12, analyzed within the per-protocol set. Secondary measures included changes in BMI, liver stiffness measurement (LSM), and the improvement of various metabolic indexes. Additionally, predetermined subgroup analyses of the FAP were conducted based on variables like gender, age, BMI, ethnicity, hyperlipidemia, and hypertension. RESULTS A total of 167 participants completed the whole study. Compared to the control group, ILI participants achieved a significant reduction in FAP (LS mean difference, 16.07 [95% CI: 8.90-23.25] dB/m) and BMI (LS mean difference, 1.46 [95% CI: 1.09-1.82] kg/m2) but not in LSM improvement (LS mean difference, 0.20 [95% CI: -0.19-0.59] kPa). The ILI also substantially improved other secondary outcomes (including ALT, AST, GGT, body fat mass, muscle mass and skeletal muscle mass, triglyceride, fasting blood glucose, fasting insulin, HbA1c, HOMA-IR, HOMA-β, blood pressure, and homocysteine). Further subgroup analyses showed that ILI, rather than control intervention, led to more significant FAP reduction, especially in patients with concurrent hypertension (p < 0.001). CONCLUSION In this RCT, a 12-week intensive lifestyle intervention program led to significant improvements in liver steatosis and other metabolic indicators in overweight and obese Chinese patients suffering from nonalcoholic fatty liver disease. Further research is required to confirm the long-term advantages and practicality of this approach. TRIAL REGISTRATION This clinical trial was registered on ClinicalTrials.gov (registration number: NCT03972631) in June 2019.
Collapse
Affiliation(s)
- Zhong Liu
- Health Management Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Piaopiao Jin
- Health Management Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yuping Liu
- Department of Health Management, Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, 610072, China
| | - Zhimian Zhang
- Health Management Center, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Xiangming Wu
- Zhejiang Nutriease Health Technology Company Limited, Hangzhou, 311121, China
| | - Min Weng
- Department of Nutrition, The First Affiliated Hospital, Kunming Medical University, Kunming, 650034, China
| | - Suyan Cao
- Health Management Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yan Wang
- Health Management Center, Affiliated Hospital of Qingdao University, Qingdao, 266003, China
| | - Chang Zeng
- Health Management Center, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Rui Yang
- Healthcare Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Chenbing Liu
- Health Management Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Ping Sun
- Department of Health Management, Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, 610072, China
| | - Cuihuan Tian
- Health Management Center, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Nan Li
- Health Management Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Qiang Zeng
- Health Management Institute, the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100039, China.
| |
Collapse
|
18
|
Alizargar A, Chang YL, Alkhaleefah M, Tan TH. Precision Non-Alcoholic Fatty Liver Disease (NAFLD) Diagnosis: Leveraging Ensemble Machine Learning and Gender Insights for Cost-Effective Detection. Bioengineering (Basel) 2024; 11:600. [PMID: 38927836 PMCID: PMC11201081 DOI: 10.3390/bioengineering11060600] [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: 04/19/2024] [Revised: 05/23/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
Non-Alcoholic Fatty Liver Disease (NAFLD) is characterized by the accumulation of excess fat in the liver. If left undiagnosed and untreated during the early stages, NAFLD can progress to more severe conditions such as inflammation, liver fibrosis, cirrhosis, and even liver failure. In this study, machine learning techniques were employed to predict NAFLD using affordable and accessible laboratory test data, while the conventional technique hepatic steatosis index (HSI)was calculated for comparison. Six algorithms (random forest, K-nearest Neighbors, Logistic Regression, Support Vector Machine, extreme gradient boosting, decision tree), along with an ensemble model, were utilized for dataset analysis. The objective was to develop a cost-effective tool for enabling early diagnosis, leading to better management of the condition. The issue of imbalanced data was addressed using the Synthetic Minority Oversampling Technique Edited Nearest Neighbors (SMOTEENN). Various evaluation metrics including the F1 score, precision, accuracy, recall, confusion matrix, the mean absolute error (MAE), receiver operating characteristics (ROC), and area under the curve (AUC) were employed to assess the suitability of each technique for disease prediction. Experimental results using the National Health and Nutrition Examination Survey (NHANES) dataset demonstrated that the ensemble model achieved the highest accuracy (0.99) and AUC (1.00) compared to the machine learning techniques that we used and HSI. These findings indicate that the ensemble model holds potential as a beneficial tool for healthcare professionals to predict NAFLD, leveraging accessible and cost-effective laboratory test data.
Collapse
Affiliation(s)
- Azadeh Alizargar
- Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Taipei University of Technology, Taipei 10608, Taiwan; (A.A.); (Y.-L.C.); (M.A.)
| | - Yang-Lang Chang
- Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Taipei University of Technology, Taipei 10608, Taiwan; (A.A.); (Y.-L.C.); (M.A.)
| | - Mohammad Alkhaleefah
- Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Taipei University of Technology, Taipei 10608, Taiwan; (A.A.); (Y.-L.C.); (M.A.)
| | - Tan-Hsu Tan
- Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Taipei University of Technology, Taipei 10608, Taiwan; (A.A.); (Y.-L.C.); (M.A.)
- Innovation Frontier Institute of Research for Science and Technology, National Taipei University of Technology, Taipei 10608, Taiwan
| |
Collapse
|
19
|
Du Y, Ratnapradipa KL, Su D, Dong J, Rochling FA, Farazi PA. Effects of Interventions for Improving Awareness and Knowledge of Nonalcoholic Fatty Liver Disease Among Chinese Young Adults for Prevention of Liver Cancer-A Randomized Controlled Trial. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2024; 39:253-263. [PMID: 38430453 DOI: 10.1007/s13187-024-02404-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/06/2024] [Indexed: 03/03/2024]
Abstract
Chinese young adults (CYA), who are at an increasing risk of developing nonalcoholic fatty liver disease (NAFLD), which in turn increases the risk of liver cancer, are an ideal target population to deliver educational interventions to improve their awareness and knowledge of NAFLD and consequently reduce their risk of developing NAFLD. The purpose of this study was to determine the efficacy of two interventions to improve awareness and knowledge of NAFLD among CYA for the prevention of liver cancer. Between May and July 2021, 1373 undergraduate students aged 18 to 25 years in one university in China completed a web-based, self-administered survey distributed through WeChat app. One week after completion of the baseline survey, all eligible participants were randomly assigned to a pamphlet, a video intervention, or no intervention (control group), with follow-up assessments immediately and 1-month post-intervention. The 7-page pamphlet or 6.5-min video had information on NAFLD. Self-assessments included NAFLD awareness, lean NAFLD awareness, and knowledge scores of NAFLD. About 26% of participants had NAFLD awareness at baseline. Compared with controls, participants in both interventions showed significant improvement of awareness of NAFLD (pamphlet, + 46.0%; video, + 44.3%; control, + 18.7%; OR [95% CI], 3.13 [2.19-4.47] and 2.84 [1.98-4.08]), awareness of lean NAFLD (pamphlet, + 41.2%; video, + 43.0%; control, + 14.5%; OR [95% CI], 2.84 [1.62-4.99] and 2.61 [1.50-4.54]), and knowledge score of NAFLD (pamphlet, + 64.2%; video, + 68.9%; control, - 1.0%; OR [95% CI], 1.62 [1.47-1.80] and 1.67 [1.50-1.86]) at immediately post-intervention. Delivering NAFLD education through a pamphlet or video intervention was effective in improving the awareness and knowledge of NAFLD among CYA.
Collapse
Affiliation(s)
- Yi Du
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, 984395 Nebraska Medical Center, 42nd and Emile, Omaha, NE, 68198-4395, USA
| | - Kendra L Ratnapradipa
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, 984395 Nebraska Medical Center, 42nd and Emile, Omaha, NE, 68198-4395, USA
| | - Dejun Su
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, 42nd and Emile, Omaha, NE, 68198, USA
| | - Jianghu Dong
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, 42nd and Emile, Omaha, NE, 68198, USA
| | - Fedja A Rochling
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Nebraska Medical Center, 42nd and Emile, Omaha, NE, 68198, USA
| | - Paraskevi A Farazi
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, 984395 Nebraska Medical Center, 42nd and Emile, Omaha, NE, 68198-4395, USA.
| |
Collapse
|
20
|
Feng SS, Wang SJ, Guo L, Ma PP, Ye XL, Pan ML, Hang B, Mao JH, Snijders AM, Lu YB, Ding DF. Serum bile acid and unsaturated fatty acid profiles of non-alcoholic fatty liver disease in type 2 diabetic patients. World J Diabetes 2024; 15:898-913. [PMID: 38766436 PMCID: PMC11099371 DOI: 10.4239/wjd.v15.i5.898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/29/2024] [Accepted: 03/14/2024] [Indexed: 05/10/2024] Open
Abstract
BACKGROUND The understanding of bile acid (BA) and unsaturated fatty acid (UFA) profiles, as well as their dysregulation, remains elusive in individuals with type 2 diabetes mellitus (T2DM) coexisting with non-alcoholic fatty liver disease (NAFLD). Investigating these metabolites could offer valuable insights into the pathophy-siology of NAFLD in T2DM. AIM To identify potential metabolite biomarkers capable of distinguishing between NAFLD and T2DM. METHODS A training model was developed involving 399 participants, comprising 113 healthy controls (HCs), 134 individuals with T2DM without NAFLD, and 152 individuals with T2DM and NAFLD. External validation encompassed 172 participants. NAFLD patients were divided based on liver fibrosis scores. The analytical approach employed univariate testing, orthogonal partial least squares-discriminant analysis, logistic regression, receiver operating characteristic curve analysis, and decision curve analysis to pinpoint and assess the diagnostic value of serum biomarkers. RESULTS Compared to HCs, both T2DM and NAFLD groups exhibited diminished levels of specific BAs. In UFAs, particular acids exhibited a positive correlation with NAFLD risk in T2DM, while the ω-6:ω-3 UFA ratio demonstrated a negative correlation. Levels of α-linolenic acid and γ-linolenic acid were linked to significant liver fibrosis in NAFLD. The validation cohort substantiated the predictive efficacy of these biomarkers for assessing NAFLD risk in T2DM patients. CONCLUSION This study underscores the connection between altered BA and UFA profiles and the presence of NAFLD in individuals with T2DM, proposing their potential as biomarkers in the pathogenesis of NAFLD.
Collapse
Affiliation(s)
- Su-Su Feng
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Si-Jing Wang
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Lin Guo
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Pan-Pan Ma
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Xiao-Long Ye
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Ming-Lin Pan
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Bo Hang
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Jian-Hua Mao
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Antoine M Snijders
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Yi-Bing Lu
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| | - Da-Fa Ding
- Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China
| |
Collapse
|
21
|
Xiong KG, Ke KY, Kong JF, Lin TS, Lin QB, Lin S, Zhu YY. Metabolic dysfunction-associated fatty liver disease increases the risk of complications after radical resection in patients with hepatocellular carcinoma. World J Surg Oncol 2024; 22:117. [PMID: 38698475 PMCID: PMC11067102 DOI: 10.1186/s12957-024-03385-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/06/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND AND AIMS The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) in hepatocellular carcinoma (HCC) patients is increasing, yet its association with postoperative complications of HCC remains unclear. The aim of this study was to investigate the impact of MAFLD on complications after radical resection in HCC patients. METHODS Patients with HCC who underwent radical resection were included. Patients were stratified into MAFLD group and non-MAFLD group. Clinical features and post-hepatectomy complications were compared between the two groups, and logistic regression analysis was used to determine independent risk factors associated with post-hepatectomy complications. RESULTS Among the 936 eligible patients with HCC who underwent radical resection, concurrent MAFLD was diagnosed in 201 (21.5%) patients. Compared to the non-MAFLD group, the MAFLD group exhibited a higher incidence of complications, including infectious and major complications after radical resection in HCC patients. The logistic regression analysis found that MAFLD was an independent risk factor for complications, including infectious and major complications in HCC patients following radical resection (OR 1.565, 95%CI 1.109-2.343, P = 0.012; OR 2.092, 95%CI 1.386-3.156, P < 0.001; OR 1.859, 95% CI 1.106-3.124, P = 0.019; respectively). Subgroup analysis of HBV-related HCC patients yielded similar findings, and MAFLD patients with type 2 diabetes mellitus (T2DM) exhibited a higher incidence of postoperative complications compared to those without T2DM (all P < 0.05). CONCLUSIONS Concurrent MAFLD was associated with an increased incidence of complications after radical resection in patients with HCC, especially MAFLD with T2DM.
Collapse
Affiliation(s)
- Ke-Gong Xiong
- Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350001, China
| | - Kun-Yu Ke
- Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350001, China
| | - Jin-Feng Kong
- Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350001, China
| | - Tai-Shun Lin
- Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350001, China
| | - Qing-Biao Lin
- Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350001, China
| | - Su Lin
- Department of Hepatology, Hepatology Research Institute, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China
| | - Yue-Yong Zhu
- Department of Hepatology, Hepatology Research Institute, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China.
- Fujian Clinical Research Center for Liver and Intestinal Diseases, Fuzhou, 350001, China.
| |
Collapse
|
22
|
Lin YH, Zhang ZJ, Zhong JQ, Wang ZY, Peng YT, Lin YM, Zhang HP, Tian JQ. Semaglutide combined with empagliflozin vs. monotherapy for non-alcoholic fatty liver disease in type 2 diabetes: Study protocol for a randomized clinical trial. PLoS One 2024; 19:e0302155. [PMID: 38701096 PMCID: PMC11068176 DOI: 10.1371/journal.pone.0302155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/23/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is strongly associated with type 2 diabetes mellitus (T2DM). Lifestyle intervention remains a preferred treatment modality for NAFLD. The glucagon-like peptide (GLP-1) receptor agonists and sodium-glucose cotransporter-2 (SGLT-2) inhibitors have been developed as new glucose-lowering drugs, which can improve fatty liver via an insulin-independent glucose-lowering effect. However, studies exploring the efficacy of GLP-1 receptor agonists combined with SGLT-2 inhibitors in patients with NAFLD and T2DM are scanty. Thus, the present randomised controlled trial aims at comparing the efficacy and safety of semaglutide plus empagliflozin with each treatment alone in patients with NAFLD and T2DM. METHODS This 52-week double-blinded, randomised, parallel-group, active-controlled trial evaluates the effects of semaglutide, empagliflozin and semaglutide + empagliflozin in 105 eligible overweight/obese subjects with NAFLD and T2DM. The primary outcome will be a change from baseline to week 52 in the controlled attenuation parameter, free fatty acid and glucagon. Secondary endpoints include changes in liver stiffness measurement, liver enzymes, blood glucose, lipid levels, renal function, electrolyte balances, minerals and bone metabolism, cytokines, high-sensitivity C-reactive protein, ferritin, anthropometric indicators, nonalcoholic fatty liver fibrosis score, fibrosis 4 score and homeostatic model assessment for insulin resistance. In addition, intention-to-treat, interim analysis and safety analysis will be performed. DISCUSSION This double-blinded, randomised, clinical trial involves a multi-disciplinary approach and aims to explore the synergistic effects of the combination of semaglutide and empagliflozin. The results can provide important insights into mechanisms of GLP-1 receptor agonists and/or SGLT-2 inhibitors in patients with NAFLD and T2DM. TRIAL REGISTRATION This study has been registered with Chinese Clinical Trial Registry (ChiCTR2300070674).
Collapse
Affiliation(s)
- Yu-Hao Lin
- Department of Endocrinology, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, Fujian, China
| | - Zhi-Jun Zhang
- Department of Endocrinology, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, Fujian, China
| | - Jin-Qing Zhong
- Department of Laboratory Medicine, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, Fujian, China
| | - Zhi-Yi Wang
- Department of Endocrinology, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, Fujian, China
| | - Yi-Ting Peng
- Department of Endocrinology, Zhongshan Hospital Xiamen University, Xiamen, Fujian, China
| | - Yan-Mei Lin
- Department of Endocrinology, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, Fujian, China
| | - Huo-Ping Zhang
- Department of Ultrasound, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, Fujian, China
| | - Jian-Qing Tian
- Department of Endocrinology, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, Fujian, China
| |
Collapse
|
23
|
Hao X, He H, Tao L, Zhao W, Wang P. Waistline to thigh circumference ratio as a predictor of MAFLD: a health care worker study with 2-year follow-up. BMC Gastroenterol 2024; 24:144. [PMID: 38658820 PMCID: PMC11044289 DOI: 10.1186/s12876-024-03229-4] [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: 11/01/2023] [Accepted: 04/15/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND This study aimed to determine whether the waist-to-thigh ratio (WTTR) is associated with the incidence of metabolic-associated fatty liver disease (MAFLD) in health care workers. METHODS There were 4517 health care workers with baseline data and results from 2 follow-up examinations. We divided the subjects into 3 groups according to baseline WTTR and used the Cox hazard regression model to estimate MAFLD risk. RESULTS The WTTRs were categorized by tertiles at baseline using the values 1.58 and 1.66. Patients with higher WTTR tended to have significantly greater values for the following factors, body mass index (BMI), fasting blood glucose (FPG), systolic blood pressure, diastolic blood pressure, total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C) and neck circumference. The incidence of MAFLD significantly increased with increasing WTTR tertiles (5.74%, 12.75% and 22.25% for the first, second and third tertiles, respectively, P < 0.05 for trend). Kaplan-Meier(K-M) survival analysis revealed a significant tendency towards increased MAFLD risk with increasing WTTR tertile. In the fully adjusted model, the hazard ratios (95% CIs) for MAFLD in the second, third WTTR tertiles compared with the first quartile were 2.17(1.58,2.98), 3.63(2.70,4.89), respectively, third neck circumference tertiles compared with the first quartile were 2.84(1.89,4.25), 8.95(6.00,13.35), respectively. Compared with those of individuals with a BMI > 23 kg/m2, the associations between WTTR and MAFLD incidence were more pronounced in subjects with a BMI < 23 kg/m2. Similarly, the difference in neck circumference was more pronounced in these patients with a BMI < 23 kg/m2. CONCLUSIONS Our results revealed that the WTTR is an independent risk factor for MAFLD, and there was a dose‒response relationship between the WTTR and MAFLD risk. The neck circumference was significantly different in subjects with a BMI < 23 kg/m2. This approach provides a new way to predict the incidence rate of MAFLD.
Collapse
Affiliation(s)
- Xiaoyan Hao
- Medical examination center, Peking University, Third Hospital, North Garden Road & 49, Beijing, China
| | - Honghai He
- Medical examination center, Peking University, Third Hospital, North Garden Road & 49, Beijing, China
| | - Liyuan Tao
- Medical examination center, Peking University, Third Hospital, North Garden Road & 49, Beijing, China
| | - Wei Zhao
- Medical examination center, Peking University, Third Hospital, North Garden Road & 49, Beijing, China.
| | - Peng Wang
- Medical examination center, Peking University, Third Hospital, North Garden Road & 49, Beijing, China.
| |
Collapse
|
24
|
Huang F, Lyu B, Xie F, Li F, Xing Y, Han Z, Lai J, Ma J, Zou Y, Zeng H, Xu Z, Gao P, Luo Y, Bolund L, Tong G, Fengping X. From gut to liver: unveiling the differences of intestinal microbiota in NAFL and NASH patients. Front Microbiol 2024; 15:1366744. [PMID: 38638907 PMCID: PMC11024258 DOI: 10.3389/fmicb.2024.1366744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 03/04/2024] [Indexed: 04/20/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is increasingly recognized for its global prevalence and potential progression to more severe liver diseases such as non-alcoholic steatohepatitis (NASH). The gut microbiota plays a pivotal role in the pathogenesis of NAFLD, yet the detailed characteristics and ecological alterations of gut microbial communities during the progression from non-alcoholic fatty liver (NAFL) to NASH remain poorly understood. Methods: In this study, we conducted a comparative analysis of gut microbiota composition in individuals with NAFL and NASH to elucidate differences and characteristics. We utilized 16S rRNA sequencing to compare the intestinal gut microbiota among a healthy control group (65 cases), NAFL group (64 cases), and NASH group (53 cases). Random forest machine learning and database validation methods were employed to analyze the data. Results: Our findings indicate a significant decrease in the diversity of intestinal flora during the progression of NAFLD (p < 0.05). At the phylum level, high abundances of Bacteroidetes and Fusobacteria were observed in both NAFL and NASH patients, whereas Firmicutes were less abundant. At the genus level, a significant decrease in Prevotella expression was seen in the NAFL group (AUC 0.738), whereas an increase in the combination of Megamonas and Fusobacterium was noted in the NASH group (AUC 0.769). Furthermore, KEGG pathway analysis highlighted significant disturbances in various types of glucose metabolism pathways in the NASH group compared to the NAFL group, as well as notably compromised flavonoid and flavonol biosynthesis functions. The study uncovers distinct microbiota characteristics and microecological changes within the gut during the transition from NAFL to NASH, providing insights that could facilitate the discovery of novel biomarkers and therapeutic targets for NAFLD.
Collapse
Affiliation(s)
- Furong Huang
- Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
- Department of Hepatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Bo Lyu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Cell, Shenzhen, China
| | - Fanci Xie
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
- People's Hospital of Longhua, Shenzhen, China
| | - Fang Li
- BGI, Shenzhen, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, Qingdao, China
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI Research, Qingdao, China
| | - Yufeng Xing
- Department of Hepatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Zhiyi Han
- Department of Hepatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Jianping Lai
- Department of Infectious Diseases, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | | | - Yuanqiang Zou
- BGI, Shenzhen, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, Qingdao, China
| | - Hua Zeng
- Department of Hepatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Zhe Xu
- BGI, Shenzhen, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, Qingdao, China
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI Research, Qingdao, China
| | - Pan Gao
- BGI, Shenzhen, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, Qingdao, China
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI Research, Qingdao, China
| | - Yonglun Luo
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Cell, Shenzhen, China
- BGI, Shenzhen, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, Qingdao, China
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI Research, Qingdao, China
| | - Lars Bolund
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- BGI Cell, Shenzhen, China
- BGI, Shenzhen, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI Research, Qingdao, China
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI Research, Qingdao, China
| | - Guangdong Tong
- Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
- Department of Hepatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Xu Fengping
- Department of Sanming Project of Medicine in Shenzhen, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI Cell, Shenzhen, China
- BGI, Shenzhen, China
| |
Collapse
|
25
|
Huang H, Xie J, Hou L, Miao M, Xu L, Xu C. Estimated small dense low-density lipoprotein cholesterol and nonalcoholic fatty liver disease in nonobese populations. J Diabetes Investig 2024; 15:491-499. [PMID: 38108613 PMCID: PMC10981148 DOI: 10.1111/jdi.14133] [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: 07/07/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 12/19/2023] Open
Abstract
AIMS/INTRODUCTION To explore the association between estimated small dense low-density lipoprotein cholesterol (sdLDL-C) and the risk of incident nonalcoholic fatty liver disease (NAFLD) in nonobese populations. MATERIALS AND METHODS This study included participants who underwent health checkups in 2014 and were followed up until 2019. We carried out Cox proportional hazards regression analyses to evaluate the association of estimated sdLDL-C with NAFLD. Discordance analyses were carried out to estimate the relative NAFLD risk in estimated sdLDL-C versus low-density lipoprotein cholesterol (LDL-C) discordant/concordant groups. Estimated sdLDL-C was calculated by equations based on LDL-C and triglycerides. The diagnosis of NAFLD was based on the presence of abdominal ultrasonography after excluding other causes of chronic liver disease. RESULTS Over a mean follow-up period of 26,694 person-years, 844 incident NAFLD cases were recorded. Compared with the first quartile of estimated sdLDL-C, the fourth quartile was associated with a 2.933-fold increased risk of NAFLD (95% confidence interval 2.095-4.107). With the increase in estimated sdLDL-C, the risk of NAFLD gradually increased both in participants within the normal range of LDL-C (hazard ratio 2.854, 95% confidence interval 1.650-5.617) and beyond the normal range of LDL-C (hazard ratio 2.636, 95% confidence interval 1.263-5.502). In addition, the inconsistent high estimated sdLDL-C/low LDL-C group was associated with an increased risk of NAFLD, but not the low estimated sdLDL-C/high LDL-C group. CONCLUSIONS Estimated sdLDL-C was positively associated with the risk of incident NAFLD in a nonobese population, independent of LDL-C.
Collapse
Affiliation(s)
- Hangkai Huang
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Jiarong Xie
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Department of GastroenterologyZhejiang University Ningbo HospitalNingboChina
| | - Linxiao Hou
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Min Miao
- Department of Internal MedicineZhenhai Lianhua HospitalNingboChina
| | - Lei Xu
- Department of GastroenterologyZhejiang University Ningbo HospitalNingboChina
| | - Chengfu Xu
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| |
Collapse
|
26
|
Yang Y, Gu M, Wang W, Li S, Lu J, Sun Q, Hu M, Zhong L. Circulating Bone morphogenetic protein 9 (BMP9) as a new biomarker for noninvasive stratification of nonalcoholic fatty liver disease and metabolic syndrome. Clin Exp Med 2024; 24:55. [PMID: 38492130 PMCID: PMC10944389 DOI: 10.1007/s10238-024-01316-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 02/29/2024] [Indexed: 03/18/2024]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is closely related to metabolic syndrome (MetS). Bone morphogenetic protein 9 (BMP9) is an essential factor in glucose, lipid and energy metabolism. This study aims to investigate whether BMP9 can serve as a serological marker for the severity of NAFLD or MetS. Blood samples, clinical data and FibroTouch test were collected from consecutively recruited 263 individuals in Shanghai East hospital. All the participants were divided into three groups: the healthy controls, nonalcoholic fatty liver (NAFL) group and nonalcoholic steatohepatitis (NASH) at-risk group according to the results of FibroTouch test and liver function. Serum BMP9 levels were measured by enzyme-linked immunosorbent assay. Serum BMP9 levels were positively correlated with transaminase, triglyceride, fasting plasma glucose, glycated hemoglobin (HbA1c) and uric acid while it showed a downward trend as the increasing number of MetS components. Furthermore, it differentiated NASH at-risk (58.13 ± 2.82 ng/L) from the other groups: healthy control (70.32 ± 3.70 ng/L) and NAFL (64.34 ± 4.76 ng/L) (p < 0.0001). Controlled attenuation parameter of liver fat and liver stiffness measurement were negatively correlated with BMP9 levels, while high-density lipoprotein levels were positively correlated. The risk of developing NAFLD increased along with elevated serum BMP9 and BMI, and a significantly higher risk was observed in men compared to women. BMP9 should be considered a protective factor for the onset and development of NAFLD, as well as a promising biomarker for the severity of the NAFLD and MetS.
Collapse
Affiliation(s)
- Yuchen Yang
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No 150, Jimo Road, Pudong New Area, Shanghai, 200120, China
| | - Meihong Gu
- Department of Gastroenterology, The Second Hospital of PingHu, Jiaxin, 314201, China
| | - Wei Wang
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No 150, Jimo Road, Pudong New Area, Shanghai, 200120, China
| | - Shan Li
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No 150, Jimo Road, Pudong New Area, Shanghai, 200120, China
| | - Jinlai Lu
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No 150, Jimo Road, Pudong New Area, Shanghai, 200120, China
| | - Qinjuan Sun
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No 150, Jimo Road, Pudong New Area, Shanghai, 200120, China
| | - Miao Hu
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No 150, Jimo Road, Pudong New Area, Shanghai, 200120, China
| | - Lan Zhong
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No 150, Jimo Road, Pudong New Area, Shanghai, 200120, China.
| |
Collapse
|
27
|
Man S, Deng Y, Ma Y, Yang X, Wang X, Fu J, Yu C, Lv J, Du J, Wang B, Li L. Association between weight change, waist circumference change, and the risk of nonalcoholic fatty liver disease in individuals with metabolically healthy overweight or obesity and metabolically unhealthy overweight or obesity. Obes Res Clin Pract 2024; 18:109-117. [PMID: 38443283 DOI: 10.1016/j.orcp.2024.02.007] [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: 09/28/2023] [Revised: 02/19/2024] [Accepted: 02/26/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND This study aimed to explore and compare the effect of weight change, and waist circumference (WC) change, on the risk of nonalcoholic fatty liver disease (NAFLD) in individuals with metabolically healthy overweight or obesity (MHOW/O) and metabolically unhealthy overweight or obesity (MUOW/O) in a health check-up cohort in China. METHODS 5625 adults with overweight or obesity, and free from NAFLD at baseline were included. Metabolically healthy was defined as not having any components of metabolic syndrome. Weight/WC changes were calculated as the relative difference between the first and second visits of check-up. NAFLD was assessed based on abdominal ultrasound. RESULTS During a median follow-up of 2.1 (IQR: 1.1-4.3) years, 1849 participants developed NAFLD. In MHOW/O participants, the multivariable adjusted HRs (95 % CIs) for NAFLD in weight change ≤ -5.0 %, and - 4.9-- 1.0 % were 0.36 (0.23-0.59), 0.59 (0.43-0.80), respectively, compared to the weight stable group (-0.9% to 0.9 %). The corresponding HRs (95 % CIs) for the association between WC change (≤ 6.0 %, - 5.9 to -3.0 %) and NAFLD in MHOW/O participants were 0.41 (0.27-0.62), and 0.74 (0.54-1.01), respectively, compared to the WC stable group (-2.9-2.9 %). Similar patterns were observed in MUOW/O participants. A more marked gradient of cumulative incidence of NAFLD across weight/WC change categories was observed in MHOW/O than in MUOW/O individuals. CONCLUSIONS A more evident association between weight/WC loss and risk of NAFLD was observed in MHOW/O than in MUOW/O individuals. Our findings indicate the practical significance of encouraging all individuals with overweight and obesity to achieve a clinically relevant level of weight/WC loss to prevent NAFLD, even among metabolic healthy groups.
Collapse
Affiliation(s)
- Sailimai Man
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Meinian Institute of Health, Beijing 100083, China; Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Yuhan Deng
- Meinian Institute of Health, Beijing 100083, China; Chongqing Research Institute of Big Data, Peking University, Chongqing 400000, China
| | - Yuan Ma
- Meinian Institute of Health, Beijing 100083, China; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xiaochen Yang
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, China
| | - Xiaona Wang
- Beijing MJ Health Check-up Center, Beijing 100000, China
| | - Jingzhu Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Jing Du
- Beijing Centre for Disease Prevention and Control, Beijing 100013, China.
| | - Bo Wang
- Meinian Institute of Health, Beijing 100083, China; Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
| |
Collapse
|
28
|
Zhao J, Yu L, Sun K, Wang Y, Xie F. Nonlinear Relationship Between Systemic Immune-Inflammation and Hepatic Steatosis: A Population-Based Study in China. J Inflamm Res 2024; 17:711-720. [PMID: 38328561 PMCID: PMC10849142 DOI: 10.2147/jir.s440430] [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: 09/18/2023] [Accepted: 01/23/2024] [Indexed: 02/09/2024] Open
Abstract
Background Studies on the associations between Systemic Immune-Inflammation (SII) and hepatic steatosis in China are still lacking. It is necessary to clarify the relationship between SII and hepatic steatosis in the Chinese population. Methods This study was conducted from January 2022 to December 2022. A total of 37,095 participants were enrolled, among them, with 20,709 (55.83%) being males, and 16,386 (44.17%) being females. Physical and biochemical indicators were measured during a morning health examination after the examinees had fasted overnight. Diagnoses of hepatic steatosis were determined using an ultrasound test in accordance with the Chinese Guideline. Analysis of variance and chi-square tests were used to analyze the association between SII and hepatic steatosis. Stratification analyses were conducted based on age, gender, and obese status. Restricted cubic spline regression was also performed to explore the shapes of associations between SII and hepatic steatosis. Results The average age of the 37,095 participants was 44.78 years old, with those with hepatic steatosis (11,599 (31.27%)) averaging 47.06 years old and those (25,496 (68.73%)) in the control group averaging 43.73 years old. SII was positively associated with hepatic steatosis. This association remained significant after conducting stratification analysis by age and gender. The inflection points in the inverted U-shaped curve for the relationship between SII and hepatic steatosis were 399.78 for gender (1000 cells /µL)(nonlinear P<0.01, OR=1.31 (male), 1.00 (female)) and 385.79 for age (1000 cells /µL)(nonlinear P<0.01, OR=1.35 (18~44 years old), 1.87 (45~59 years old), 1.93 (60~ years old)). Conclusion SII is an independent risk factor for hepatic steatosis, and this effect appears to be stronger in subjects with BMI <28 kg/m2. The nonlinear relationship between SII and hepatic steatosis, characterized by an inverted U-shaped distribution, may serve as a reference for diagnosing and evaluating hepatic steatosis.
Collapse
Affiliation(s)
- Jing Zhao
- Physical Examination Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China
| | - Li Yu
- Physical Examination Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China
| | - Kangyun Sun
- Physical Examination Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China
| | - Yun Wang
- Physical Examination Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China
| | - Fangfei Xie
- Physical Examination Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, People’s Republic of China
| |
Collapse
|
29
|
Wang G, Zhao Y, Li Z, Li D, Zhao F, Hao J, Yang C, Song J, Gu X, Huang R. Association between novel inflammatory markers and non-alcoholic fatty liver disease: a cross-sectional study. Eur J Gastroenterol Hepatol 2024; 36:203-209. [PMID: 38047735 PMCID: PMC10906204 DOI: 10.1097/meg.0000000000002686] [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: 09/26/2023] [Accepted: 11/06/2023] [Indexed: 12/05/2023]
Abstract
OBJECTIVE This study aimed to investigate the association between novel inflammatory markers (NIMs) and non-alcoholic fatty liver disease (NAFLD). METHODS A total of 6306 subjects were enrolled in this cross-sectional study. NIMs, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), C-reactive protein to albumin ratio (CAR), lymphocyte to monocyte ratio (LMR), systemic immune-inflammation index (SII) and prognostic nutritional index (PNI), were calculated. The prevalence of NAFLD and its association with NIMs were assessed by multivariable logistic regression analysis. Subgroup analysis were performed based on age, sex and BMI. RESULTS The prevalence of NAFLD was 52.5% in the study population. Compared with non-NAFLD subjects, NAFLD patients were older and more frequent in females. The prevalence of NAFLD progressively increased among the higher quartile groups of CAR, LMR, SII and PNI ( P -trend < 0.05), whereas it progressively decreased among the higher quartile group of NLR and PLR ( P -trend < 0.05). According to multivariable logistic regression analysis, the highest quartile (Q4) had a significantly higher risk of NAFLD compared with Q1 in LMR [odds ratio (OR): 1.43; 95% confidence interval (CI): 1.17-1.75; P -trend < 0.001] and PNI (OR: 1.92; 95% CI: 1.57-2.35; P -trend < 0.001). The subgroup analysis showed a stronger association of PNI with NAFLD. CONCLUSION The study highlights the association between NIMs and NAFLD, with LMR and PNI identified as potential non-invasive markers of inflammation in NAFLD. Specifically, PNI exhibited the strongest association and may serve as a valuable marker for assessing inflammation in NAFLD.
Collapse
Affiliation(s)
- Gang Wang
- Department of Cardiology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China
| | - Yu Zhao
- Department of Cardiology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China
| | - Zeya Li
- Department of Cardiology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China
| | - Dan Li
- Beijing Tongzhou Yongshun Community Health Service, Beijing, China
| | - Feng Zhao
- Beijing Tongzhou Yongshun Community Health Service, Beijing, China
| | - Jing Hao
- Beijing Tongzhou Yongshun Community Health Service, Beijing, China
| | - Chunlei Yang
- Beijing Tongzhou Yongshun Community Health Service, Beijing, China
| | - Jiashu Song
- Beijing Tongzhou Yongshun Community Health Service, Beijing, China
| | - Xianzhong Gu
- Beijing Tongzhou Yongshun Community Health Service, Beijing, China
| | - Rongchong Huang
- Department of Cardiology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China
| |
Collapse
|
30
|
Li R, Lu B, Li Q, Hu J, Huang Y, Wang Y, Qin G, Zhang W, Su Q, Zhu J, Xu Y, Jiang H, Wang X, Zhang K, Yang Y, Hu R. Characteristics of metabolic inflammatory syndrome among inpatients with type 2 diabetes: A cross-sectional study in China. Prim Care Diabetes 2024; 18:97-103. [PMID: 37993324 DOI: 10.1016/j.pcd.2023.11.001] [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: 02/07/2023] [Revised: 09/03/2023] [Accepted: 11/03/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND As meta-inflammation is a common feature for obesity, type 2 diabetes (T2D), nonalcoholic fatty liver disease and atherosclerosis, we have proposed a new concept, metabolic inflammatory syndrome (MIS), to cluster such diseases. We aimed to characterize MIS and explore its association with coronary heart disease (CHD) among T2D inpatients in China. METHODS A total number of 8344 T2D participants were enrolled. Each component of MIS and metabolic syndrome (MS) was analyzed. Their association with the risk of CHD was assessed using a binary logistic analysis. RESULTS Among the T2D inpatients, the detection rate of MIS was much higher than that of MS (93.6 % vs. 53.2 %). Among all the components of MIS and MS, carotid atherosclerosis (71.9 %) was most commonly detected, which increased with aging in subgroups. Surprisingly, the most common combination of MIS was with all 4 components in T2D patients, with a constituent ratio of 30.9 %. According to the odds ratios (ORs), MIS was a better predictor of CHD than MS, especially after adjustment for age, sex, smoking, and alcohol consumption (adjusted OR for MIS: 3.083; for MS: 1.515). The presence of more components of MIS was associated with a higher detection rate of CHD (P < 0.001). Among all the components of MIS and MS, carotid atherosclerosis best predicted the risk of CHD (adjusted OR: 1.787). CONCLUSIONS MIS is an independent risk factor for CHD, with a bigger OR value than MS. Carotid atherosclerosis, with the highest detection rate, was the best individual predictor of CHD and thus a critical component of MIS. The concept of MIS represents the understanding of metabolic diseases from the perspective of holistic integrative medicine.
Collapse
Affiliation(s)
- Rumei Li
- Department of Endocrinology, Huashan Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Bin Lu
- Department of Endocrinology, Huashan Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Qiang Li
- Department of Endocrinology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Ji Hu
- Department of Endocrinology, the Second Affiliated Hospital of Suzhou University, Suzhou 215004, China
| | - Yun Huang
- Department of Endocrinology, the Second Affiliated Hospital of Suzhou University, Suzhou 215004, China
| | - Yangang Wang
- Department of Endocrinology, Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, China
| | - Guijun Qin
- Department of Endocrinology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Weiwei Zhang
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University, Shanghai 200092, China
| | - Qing Su
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University, Shanghai 200092, China
| | - Jun Zhu
- Department of Endocrinology, First Affiliated Hospital, Xinjiang Medical University, Xinjiang 830054, China
| | - Yancheng Xu
- Department of Endocrinology, Zhongnan Hospital, Wuhan University, Wuhan 430071, China
| | - Hongwei Jiang
- Department of Endocrinology, the First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471003, China
| | - Xinjun Wang
- Department of Endocrinology, Affiliated Hospital of Hainan Medical University, Haikou 570102, China
| | - Keqing Zhang
- Department of Endocrinology, Tongji Hospital, Tongji University; Shanghai 200065, China
| | - Yuzhi Yang
- Department of Endocrinology, Heilongjiang Province Hospital, Harbin 150036, China
| | - Renming Hu
- Department of Endocrinology, Huashan Hospital Affiliated to Fudan University, Shanghai 200040, China.
| |
Collapse
|
31
|
Kong L, Ye C, Wang Y, Dou C, Zheng J, Wang S, Lin H, Zhao Z, Li M, Xu Y, Chen Y, Lu J, Xu M, Wang W, Ning G, Bi Y, Wang T. Diabesity phenotype in relation to the incidence and resolution of nonalcoholic fatty liver disease: A prospective cohort study. J Diabetes 2024; 16:e13459. [PMID: 37584361 PMCID: PMC10809295 DOI: 10.1111/1753-0407.13459] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/06/2023] [Accepted: 07/30/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND Diabesity is a term used to emphasize the dual epidemic and the combined detrimental effects of diabetes and obesity. We aimed to investigate the associations of diabesity with the incidence and resolution of nonalcoholic fatty liver disease (NAFLD). METHODS This prospective cohort study included 5549 participants with a median follow-up of 4.3 years (2010-2015). Diabesity was defined as six categories by the combinations of glucose tolerance status (normal glucose tolerance [NGT], prediabetes, and diabetes) diagnosed by fasting and oral glucose tolerance test 2-h glucose and hemoglobin A1c and general or abdominal obesity status. We examined the odds ratios (ORs) for the incidence and resolution of NAFLD associated with diabesity categories, respectively. RESULTS For NAFLD incidence, compared with the diabesity category of NGT with nonobesity, the categories of either glucose intolerance or general obesity were associated with higher risks of NAFLD, of which the categories with obesity, regardless of glucose intolerance status, exhibited greater risks (ORs ranged from 3.19 to 4.49) than the categories of nonobesity. For NAFLD resolution, the categories of prediabetes or diabetes with obesity were associated with decreased likelihoods of a resolution of NAFLD (ORs ranged from 0.40 to 0.58). These association patterns were consistent across various definitions of diabesity by glucose tolerance status diagnosed by different combinations of glycemic parameters and general or abdominal obesity. CONCLUSIONS The diabesity association pattern with NAFLD incidence was mainly determined by obesity, while that with NAFLD resolution was driven by the combined phenotype of glucose intolerance and obesity.
Collapse
Affiliation(s)
- Lijie Kong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chaojie Ye
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yiying Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chun Dou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- 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, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| |
Collapse
|
32
|
Liu L, Wang C, Hu Z, Deng S, Yang S, Zhu X, Deng Y, Wang Y. Not only baseline but cumulative exposure of remnant cholesterol predicts the development of nonalcoholic fatty liver disease: a cohort study. Environ Health Prev Med 2024; 29:5. [PMID: 38325840 PMCID: PMC10853394 DOI: 10.1265/ehpm.23-00289] [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: 10/10/2023] [Accepted: 12/30/2023] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND AND AIM Remnant cholesterol (remnant-C) mediates the progression of major adverse cardiovascular events. It is unclear whether remnant-C, and particularly cumulative exposure to remnant-C, is associated with nonalcoholic fatty liver disease (NAFLD). This study aimed to explore whether remnant-C, not only baseline but cumulative exposure, can be used to independently evaluate the risk of NAFLD. METHODS This study included 1 cohort totaling 21,958 subjects without NAFLD at baseline who underwent at least 2 repeated health checkups and 1 sub-cohort totaling 2,649 subjects restricted to those individuals with at least 4 examinations and no history of NAFLD until Exam 3. Cumulative remnant-C was calculated as a timeweighted model for each examination multiplied by the time between the 2 examinations divided the whole duration. Cox regression models were performed to estimate the association between baseline and cumulative exposure to remnant-C and incident NAFLD. RESULTS After multivariable adjustment, compared with the quintile 1 of baseline remnant-C, individuals with higher quintiles demonstrated significantly higher risks for NAFLD (hazard ratio [HR] 1.48, 95%CI 1.31-1.67 for quintile 2; HR 2.07, 95%CI 1.85-2.33 for quintile 3; HR 2.55, 95%CI 2.27-2.88 for quintile 4). Similarly, high cumulative remnant-C quintiles were significantly associated with higher risks for NAFLD (HR 3.43, 95%CI 1.95-6.05 for quintile 2; HR 4.25, 95%CI 2.44-7.40 for quintile 3; HR 6.29, 95%CI 3.59-10.99 for quintile 4), compared with the quintile 1. CONCLUSION Elevated levels of baseline and cumulative remnant-C were independently associated with incident NAFLD. Monitoring immediate levels and longitudinal trends of remnant-C may need to be emphasized in adults as part of NAFLD prevention strategy.
Collapse
Affiliation(s)
- Lei Liu
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| | - Changfa Wang
- General Surgery Department, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| | - Zhongyang Hu
- Department of Neurology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| | - Shuwen Deng
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| | - Saiqi Yang
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| | - Xiaoling Zhu
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| | - Yuling Deng
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| | - Yaqin Wang
- Health Management Center, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan, China, 410013
| |
Collapse
|
33
|
Chen C, Si S, Du J, Li H. Prospective cohort study of Helicobacter pylori infection on the risk of nonalcoholic fatty liver disease. Facets (Ott) 2024; 9:1-8. [DOI: 10.1139/facets-2023-0146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2025] Open
Abstract
To investigate the epidemiological connection between nonalcoholic fatty liver disease (NAFLD) and Helicobacter pylori ( H. pylori). 6,478 retired and active workers, aged 22-69 years, were included in the study. Their baseline measures of height, weight, waist measurement, body mass index, blood pressure, fasting blood sugar, plasma lipid, liver function index, glycosylated hemoglobin, abdominal ultrasonography, and findings from the line “13 C urea breath test” H. pylori test were analyzed, and follow-up with consistent baseline methods and criteria was performed annually. Over a 4-year period, the prevalence of NAFLD increased by 16.9%, with 612 (18.7%) of those who tested positive for H. pylori developing NAFLD, whereas 484 (15.1%) of those who did not test positive for H. pylori were later diagnosed with new NAFLD ( χ2 = 14.862, P < 0.05). One of the risk factors identified in the univariable Cox regression model for NAFLD was H. pylori (Hazard Ratio = 1.297; 95.0% confidence interval (CI) 1.150,1.485, P < 0.000); however, H. pylori continued to be an independent factor affecting the risk of NAFLD even after accounting for gender, age, and aspects of the metabolic syndrome (Hazard Ratio = 1.240; 95.0% CI 1.077,1.429, P = 0.003). The growth of NAFLD may be correlated with H. pylori infection.
Collapse
Affiliation(s)
- Changxi Chen
- Department of Gastroenterology, Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang Province 315040, P. R. China
| | - Sha Si
- Department of Food Science and Engineering, Ningbo University, Ningbo 315211, P. R. China
| | - Juan Du
- Department of Gastroenterology, Refine-Chemical Hospital of Zhenhai District, Ningbo, Zhejiang Province 315207, P. R. China
| | - Hongliang Li
- Department of Gastroenterology, Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang Province 315040, P. R. China
| |
Collapse
|
34
|
Wang RZ, Zhang WS, Jiang CQ, Zhu F, Jin YL, Xu L. Association of fish and meat consumption with non-alcoholic fatty liver disease: Guangzhou Biobank Cohort Study. BMC Public Health 2023; 23:2433. [PMID: 38057730 PMCID: PMC10699064 DOI: 10.1186/s12889-023-17398-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 12/02/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. Unhealthy dietary habit is one of major risk factors of NAFLD. However, the associations between specific types of fish and meat consumption and NAFLD remain inconclusive. We explored the associations of fish and meat consumption with NAFLD risk in middle-aged and older Chinese. METHODS We collected information on 1,862 participants aged 50 years or older from Guangzhou Biobank Cohort Study in 2009 to 2010. Fish and meat consumption was assessed using a validated food-frequency questionnaire. NAFLD was diagnosed by ultrasound. Multivariable logistic regression was used to examine the associations of fish and meat consumption with the presence of NAFLD. RESULTS The average age was 61.0 (standard deviation = 6.5) years for the participants, 50.2% were women, and 37.2% were diagnosed with NAFLD. After adjusting for age, sex, education, family income, occupation, smoking status, drinking status, physical activity and several metabolic traits, compared with 0 serving/week (one serving = 50 g), fatty fish consumption of ≥ 3 servings/week showed higher odds of NAFLD (odds ratio (OR) and 95% confidence interval (CI): 1.64 (1.12, 2.39)). The highest (≥ 11 servings/week of red meat and poultry; ≥ 3 servings/week of processed meat) versus the lowest (0-3 servings/week of red meat and poultry; 0 serving/week of processed meat) consumption of all other types of meats, including red meat, poultry and processed meat, showed no association with NAFLD (1.17 (0.75, 1.81), 1.02 (0.42, 2.50) and 0.85 (0.50, 1.45), respectively). Aquatic and sea food, and red meat had negative indirect effects on NAFLD via systolic blood pressure and/or high-density lipoprotein cholesterol. Processed meat had positive indirect effects on NAFLD via body mass index, waist circumference, fasting plasma glucose and triglycerides. CONCLUSION High consumption of fatty fish was associated with higher NAFLD risk. Our results, if causal, provide evidence that limiting consumption of fatty fish can be considered as part of NAFLD lifestyle prevention and treatment.
Collapse
Affiliation(s)
- Rui Zhen Wang
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China
| | - Wei Sen Zhang
- Guangzhou Twelfth People's Hospital, No.1 Tianqiang Road, Guangzhou, 510620, China.
| | - Chao Qiang Jiang
- Guangzhou Twelfth People's Hospital, No.1 Tianqiang Road, Guangzhou, 510620, China
| | - Feng Zhu
- Guangzhou Twelfth People's Hospital, No.1 Tianqiang Road, Guangzhou, 510620, China
| | - Ya Li Jin
- Guangzhou Twelfth People's Hospital, No.1 Tianqiang Road, Guangzhou, 510620, China
| | - Lin Xu
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China.
- School of Public Health, the University of Hong Kong, Hong Kong, China.
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
| |
Collapse
|
35
|
Huang H, Wang J, Wu L, Ruan J, Hou L, Shen C, Xu C. Remnant cholesterol and severity of nonalcoholic fatty liver disease. Diabetol Metab Syndr 2023; 15:238. [PMID: 37986027 PMCID: PMC10662644 DOI: 10.1186/s13098-023-01220-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/14/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Serum remnant cholesterol levels are being increasingly acknowledged as a causal risk factor for atherosclerotic disease, regardless of conventional lipid parameters. The positive association between remnant cholesterol and nonalcoholic fatty liver disease (NAFLD) has been revealed in previous studies. However, whether remnant cholesterol is associated with the severity of NAFLD remains unknown. This study aimed to explore the association between serum remnant cholesterol and the risk of NAFLD severity. METHODS This cross-sectional study included a total of 6,053 participants who attended health checkups. The severity of hepatic steatosis was evaluated by liver ultrasound transient elastography. Univariable and multivariable logistic regression analyses were performed to calculate the odds ratio (OR) and 95% confidence interval (95% CI) for the association between remnant cholesterol and the severity of hepatic steatosis. To explore whether the association between remnant cholesterol and NAFLD severity was independent of conventional lipid parameters, we further investigated this association in individuals with normal values of low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C) and triglycerides. RESULTS In total, 36.9% of individuals had mild steatosis, and 5.9% had moderate-to-severe steatosis. The serum level of remnant cholesterol in nonsteatosis, mild steatosis and moderate-to-severe steatosis gradually increased (0.71 ± 0.33, 0.97 ± 0.52 and 1.07 ± 0.63 mmol/L, respectively). In the multivariable mode, remnant cholesterol was positively associated with mild hepatic steatosis (OR: 1.730, 95% CI: 1.541 - 1.941, P < 0.001) and moderate-to-severe steatosis (OR: 2.342, 95% CI: 1.765 - 3.109, P < 0.001). These associations were not significantly altered in individuals with normal triglycerides, HDL-C and LDL-C (OR: 1.664, 95% CI: 1.448 - 1.911, P < 0.001; OR: 2.269, 95% CI: 1.619 - 3.180, P < 0.001, respectively). CONCLUSIONS Higher levels of serum remnant cholesterol were associated with more severe hepatic steatosis, regardless of conventional lipid parameters. Individuals with higher remnant cholesterol may need more attention in regular surveillance of NAFLD.
Collapse
Affiliation(s)
- Hangkai Huang
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Jinghua Wang
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Li Wu
- Department of Geriatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Jiaqi Ruan
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Linxiao Hou
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Chao Shen
- Health Management Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Chengfu Xu
- Department of Gastroenterology, Zhejiang Provincial Clinical Research Center for Digestive Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China.
| |
Collapse
|
36
|
Jiang Y, Zhuang X, Zhang J, Li M, Du S, Tian J, Yuan Y, Ji G, Hu C. Clinical characterization and proteomic profiling of lean nonalcoholic fatty liver disease. Front Endocrinol (Lausanne) 2023; 14:1171397. [PMID: 38034020 PMCID: PMC10687542 DOI: 10.3389/fendo.2023.1171397] [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: 02/22/2023] [Accepted: 07/06/2023] [Indexed: 12/02/2023] Open
Abstract
INTRODUCTION Obesity has been historically associated with nonalcoholic fatty liver disease (NAFLD), but it can also occur in lean individuals. However, limited data is available on this special group. To investigate the clinical and proteomic characteristics of lean subjects with NAFLD, and to identify potential clinical variables and plasma proteins for diagnosing NAFLD in lean individuals, we collected clinical data from a large cohort of 2,236 subjects. METHODS Diagnosis of NAFLD relied on detecting pronounced hepatic steatosis through abdominal ultrasonography. Participants were categorized into four groups based on body mass index: overweight NAFLD, overweight control, lean NAFLD, and lean control. Plasma proteomic profiling was performed on samples from 20 subjects in each group. The lean NAFLD group was compared to both lean healthy and obese NAFLD groups across all data. RESULTS AND DISCUSSION The results indicated that the lean NAFLD group exhibited intermediate metabolic profiles, falling between those of the lean healthy and overweight NAFLD groups. Proteomic profiling of plasma in lean subjects with or without NAFLD revealed 45 statistically significant changes in proteins, of which 37 showed high diagnostic value (AUC > 0.7) for lean NAFLD. These potential biomarkers primarily involved lipid metabolism, the immune and complement systems, and platelet degranulation. Furthermore, AFM, GSN, CFH, HGFAC, MMP2, and MMP9 have been previously associated with NAFLD or NAFLD-related factors such as liver damage, insulin resistance, metabolic syndromes, and extracellular homeostasis. Overall, lean individuals with NAFLD exhibit distinct clinical profiles compared to overweight individuals with NAFLD. Despite having worse metabolic profiles than their healthy counterparts, lean NAFLD patients generally experience milder systemic metabolic disturbances compared to obese NAFLD patients. Additionally, the plasma proteomic profile is significantly altered in lean NAFLD, highlighting the potential of differentially expressed proteins as valuable biomarkers or therapeutic targets for diagnosing and treating NAFLD in this population.
Collapse
Affiliation(s)
- Yuanye Jiang
- Department of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaoyu Zhuang
- Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiaqi Zhang
- Department of Pharmacy, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Meng Li
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shengnan Du
- Department of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiyun Tian
- Department of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yifu Yuan
- Department of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guang Ji
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Cheng Hu
- Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| |
Collapse
|
37
|
Zhao DT, Yan HP, Han Y, Zhang WM, Zhao Y, Liao HY. Prevalence and prognostic significance of main metabolic risk factors in primary biliary cholangitis: a retrospective cohort study of 789 patients. Front Endocrinol (Lausanne) 2023; 14:1142177. [PMID: 38027142 PMCID: PMC10663935 DOI: 10.3389/fendo.2023.1142177] [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: 02/01/2023] [Accepted: 04/19/2023] [Indexed: 12/01/2023] Open
Abstract
Background Metabolic risk factors in primary biliary cholangitis (PBC) have not been well described in China. Additionally, it is unclear whether these factors have an impact on the prognosis of PBC patients. Therefore, this study aimed to investigate the prevalence of main metabolic risk factors in PBC, and to evaluate their prognostic values for liver-related outcomes. Methods A cohort of 789 PBC patients was retrospectively studied between July 2008 and September 2019 by investigating the main metabolic risk factors and analyzing liver-related outcomes. Results At presentation, 271 (34.3%) patients had concomitant hyperlipidemia, 126 (16.0%) had hypertension, 94 (11.9%) had type 2 diabetes mellitus (T2DM), and 17 (2.2%) had nonalcoholic fatty liver disease (NAFLD). Hyperlipidemia was found to be associated with the lower risk of liver-related death [P<0.0001, hazard ratio (HR): 0.397, 95% confidence interval (CI): 0.268-0.588] and adverse outcomes (P<0.0001, HR: 0.487, 95% CI:0.367-0.646), while hypertension was noted as a risk factor for liver-related death (P=0.001, HR: 1.788, 95% CI:1.268-2.521) and adverse outcomes (P=0.014, HR: 1.417, 95% CI:1.074-1.869). Moreover, age ≥ 55 years old (P=0.005) and cirrhosis (P<0.0001) had superimposition effects on hypertension as a risk factor for liver-related death, while only cirrhosis (P<0.0001) had an effect on hypertension as a risk factor for adverse outcomes. Additionally, anti-sp100 was associated with adverse outcomes (P=0.013) in PBC patients with hypertension in univariate Cox regression analysis. Conclusion Hyperlipidemia, hypertension, and T2DM were found as main metabolic risk factors in PBC in China. Hyperlipidemia indicated a benign clinical outcome of PBC, while hypertension indicated a poor outcome of PBC. Older age and cirrhosis had superimposition effects on hypertension for liver-related poor outcomes. Anti-sp100 might be associated with adverse outcomes, especially in PBC patients with hypertension.
Collapse
Affiliation(s)
- Dan-Tong Zhao
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Hui-Ping Yan
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China
- Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Ying Han
- Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Wei-Ming Zhang
- Department of Clinical Laboratory Diagnosis, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Yan Zhao
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China
- Clinical Laboratory Center, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Hui-Yu Liao
- Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
38
|
Zeng P, Cai X, Yu X, Huang L, Chen X. HOMA-IR is an effective biomarker of non-alcoholic fatty liver disease in non-diabetic population. J Int Med Res 2023; 51:3000605231204462. [PMID: 37862786 PMCID: PMC10590044 DOI: 10.1177/03000605231204462] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/13/2023] [Indexed: 10/22/2023] Open
Abstract
OBJECTIVES This study aimed to investigate the correlation between homeostasis model assessment of insulin resistance (HOMA-IR) and non-alcoholic fatty liver disease (NAFLD) in the non-diabetic population and establish its diagnostic efficacy. METHODS This observational study involved participants divided into NAFLD and non-NAFLD groups, and baseline data were analyzed. Univariate and multivariate logistic regression analyses were used to correlate HOMA-IR with the risk of NAFLD. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of HOMA-IR for NAFLD. Subgroup analyses of non-obese individuals were performed. RESULTS Overall, 2234 non-diabetic participants were included. The HOMA-IR was significantly higher in the NAFLD group than in the non-NAFLD group. Multivariate logistic regression analysis showed that HOMA-IR was a strong and independent risk factor for NAFLD after correcting for confounding factors. The area under the ROC curve (AUC) value of HOMA-IR for predicting NAFLD was 0.792. In the non-obese non-diabetic population, HOMA-IR was an independent risk factor for increased risk of lean NAFLD after correcting for confounding factors. The AUC value of HOMA-IR for predicting lean NAFLD was 0.770. CONCLUSIONS HOMA-IR is independently associated with the risk of NAFLD in the non-diabetic and non-obese non-diabetic populations and has good diagnostic value.
Collapse
Affiliation(s)
- Pei Zeng
- Outpatient Department, Guangzhou Cadre Health Management Center, Guangzhou, China
| | - Xiangsheng Cai
- Clinical Laboratory, Guangzhou Cadre Health Management Center, Guangzhou, China
| | - Xiaozhou Yu
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Lu Huang
- Department of Health Assessment Intervention, Guangzhou Cadre Health Management Center, Guangzhou, China
| | - Xi Chen
- Department of Health Assessment Intervention, Guangzhou Cadre Health Management Center, Guangzhou, China
| |
Collapse
|
39
|
Xie J, Xu L, Huang H, Chen Y, Wang J, Li Y, Yu C, Xu C. A simpler definition of MAFLD precisely predicts incident metabolic diseases: a 7-year cohort study. Hepatol Int 2023; 17:1182-1191. [PMID: 37322380 DOI: 10.1007/s12072-023-10558-1] [Citation(s) in RCA: 4] [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: 03/22/2023] [Accepted: 05/27/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD) is a novel definition proposed in 2020 with a relatively complex set of criteria. Thus, simplified criteria that are more applicable are required. This study aimed to develop a simplified set of criteria for identifying MAFLD and predicting MAFLD-related metabolic diseases. METHODS We developed a simplified set of metabolic syndrome-based criteria for MAFLD, and compared the performance of the simplified criteria with that of the original criteria in predicting MAFLD-related metabolic diseases in a 7-year follow-up. RESULTS In the 7-year cohort, a total of 13,786 participants, including 3372 (24.5%) with fatty liver, were enrolled at baseline. Of the 3372 participants with fatty liver, 3199 (94.7%) met the MAFLD-original criteria, 2733 (81.0%) met the simplified criteria, and 164 (4.9%) were metabolic healthy and met neither of the criteria. During 13,612 person-years of follow-up, 431 (16.0%) fatty liver individuals newly developed T2DM, with an incidence rate of 31.7 per 1000 person-years. Participants who met the simplified criteria had a higher risk of incident T2DM than those who met the original criteria. Similar results were observed for incident hypertension, and incident carotid atherosclerotic plaque. CONCLUSION The MAFLD-simplified criteria are an optimized risk stratification tool for predicting metabolic diseases in fatty liver individuals.
Collapse
Affiliation(s)
- Jiarong Xie
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, China
- Department of Gastroenterology, Ningbo First Hospital, Ningbo, China
| | - Lei Xu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, China
- Department of Gastroenterology, Ningbo First Hospital, Ningbo, China
| | - Hangkai Huang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Yishu Chen
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Jinghua Wang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Youming Li
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Chaohui Yu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Chengfu Xu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China.
| |
Collapse
|
40
|
Huang G, Jin Q, Mao Y. Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study. J Med Internet Res 2023; 25:e46891. [PMID: 37698911 PMCID: PMC10523217 DOI: 10.2196/46891] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 08/02/2023] [Accepted: 08/16/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) has emerged as a worldwide public health issue. Identifying and targeting populations at a heightened risk of developing NAFLD over a 5-year period can help reduce and delay adverse hepatic prognostic events. OBJECTIVE This study aimed to investigate the 5-year incidence of NAFLD in the Chinese population. It also aimed to establish and validate a machine learning model for predicting the 5-year NAFLD risk. METHODS The study population was derived from a 5-year prospective cohort study. A total of 6196 individuals without NAFLD who underwent health checkups in 2010 at Zhenhai Lianhua Hospital in Ningbo, China, were enrolled in this study. Extreme gradient boosting (XGBoost)-recursive feature elimination, combined with the least absolute shrinkage and selection operator (LASSO), was used to screen for characteristic predictors. A total of 6 machine learning models, namely logistic regression, decision tree, support vector machine, random forest, categorical boosting, and XGBoost, were utilized in the construction of a 5-year risk model for NAFLD. Hyperparameter optimization of the predictive model was performed in the training set, and a further evaluation of the model performance was carried out in the internal and external validation sets. RESULTS The 5-year incidence of NAFLD was 18.64% (n=1155) in the study population. We screened 11 predictors for risk prediction model construction. After the hyperparameter optimization, CatBoost demonstrated the best prediction performance in the training set, with an area under the receiver operating characteristic (AUROC) curve of 0.810 (95% CI 0.768-0.852). Logistic regression showed the best prediction performance in the internal and external validation sets, with AUROC curves of 0.778 (95% CI 0.759-0.794) and 0.806 (95% CI 0.788-0.821), respectively. The development of web-based calculators has enhanced the clinical feasibility of the risk prediction model. CONCLUSIONS Developing and validating machine learning models can aid in predicting which populations are at the highest risk of developing NAFLD over a 5-year period, thereby helping delay and reduce the occurrence of adverse liver prognostic events.
Collapse
Affiliation(s)
- Guoqing Huang
- Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Qiankai Jin
- Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo, China
- Health Science Center, Ningbo University, Ningbo, China
| | - Yushan Mao
- Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo, China
| |
Collapse
|
41
|
Yang Y, Liu J, Sun C, Shi Y, Hsing JC, Kamya A, Keller CA, Antil N, Rubin D, Wang H, Ying H, Zhao X, Wu YH, Nguyen M, Lu Y, Yang F, Huang P, Hsing AW, Wu J, Zhu S. Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population. Eur Radiol 2023; 33:5894-5906. [PMID: 36892645 DOI: 10.1007/s00330-023-09515-1] [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: 10/21/2022] [Revised: 10/21/2022] [Accepted: 02/03/2023] [Indexed: 03/10/2023]
Abstract
OBJECTIVES We aimed to develop and validate a deep learning system (DLS) by using an auxiliary section that extracts and outputs specific ultrasound diagnostic features to improve the explainable, clinical relevant utility of using DLS for detecting NAFLD. METHODS In a community-based study of 4144 participants with abdominal ultrasound scan in Hangzhou, China, we sampled 928 (617 [66.5%] females, mean age: 56 years ± 13 [standard deviation]) participants (2 images per participant) to develop and validate DLS, a two-section neural network (2S-NNet). Radiologists' consensus diagnosis classified hepatic steatosis as none steatosis, mild, moderate, and severe. We also explored the NAFLD detection performance of six one-section neural network models and five fatty liver indices on our data set. We further evaluated the influence of participants' characteristics on the correctness of 2S-NNet by logistic regression. RESULTS Area under the curve (AUROC) of 2S-NNet for hepatic steatosis was 0.90 for ≥ mild, 0.85 for ≥ moderate, and 0.93 for severe steatosis, and was 0.90 for NAFLD presence, 0.84 for moderate to severe NAFLD, and 0.93 for severe NAFLD. The AUROC of NAFLD severity was 0.88 for 2S-NNet, and 0.79-0.86 for one-section models. The AUROC of NAFLD presence was 0.90 for 2S-NNet, and 0.54-0.82 for fatty liver indices. Age, sex, body mass index, diabetes, fibrosis-4 index, android fat ratio, and skeletal muscle via dual-energy X-ray absorptiometry had no significant impact on the correctness of 2S-NNet (p > 0.05). CONCLUSIONS By using two-section design, 2S-NNet had improved the performance for detecting NAFLD with more explainable, clinical relevant utility than using one-section design. KEY POINTS • Based on the consensus review derived from radiologists, our DLS (2S-NNet) had an AUROC of 0.88 by using two-section design and yielded better performance for detecting NAFLD than using one-section design with more explainable, clinical relevant utility. • The 2S-NNet outperformed five fatty liver indices with the highest AUROCs (0.84-0.93 vs. 0.54-0.82) for different NAFLD severity screening, indicating screening utility of deep learning-based radiology may perform better than blood biomarker panels in epidemiology. • The correctness of 2S-NNet was not significantly influenced by individual's characteristics, including age, sex, body mass index, diabetes, fibrosis-4 index, android fat ratio, and skeletal muscle via dual-energy X-ray absorptiometry.
Collapse
Affiliation(s)
- Yang Yang
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jing Liu
- College of Computer Science and Technology, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, China
| | - Changxuan Sun
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yuwei Shi
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
| | - Julianna C Hsing
- Center for Policy, Outcomes, and Prevention, Stanford University School of Medicine, Stanford, CA, USA
| | - Aya Kamya
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Cody Auston Keller
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Neha Antil
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Daniel Rubin
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Hongxia Wang
- Department of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Haochao Ying
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, China
| | - Xueyin Zhao
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yi-Hsuan Wu
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 780 Welch Road, CJ Huang Building, Suite 250D, Stanford, CA, 94305, USA
| | - Mindie Nguyen
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Stanford, CA, USA
| | - Ying Lu
- Department of Biomedical Data Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Fei Yang
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
| | - Pinton Huang
- Department of Ultrasound, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ann W Hsing
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 780 Welch Road, CJ Huang Building, Suite 250D, Stanford, CA, 94305, USA.
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Jian Wu
- Second Affiliated Hospital School of Medicine, School of Public Health, and Institute of Wenzhou, Zhejiang University, Hangzhou, 310058, China.
| | - Shankuan Zhu
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China.
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.
| |
Collapse
|
42
|
Wang X, Zhang R, Man S, Lv J, Yu C, Yin J, Wang X, Deng Y, Wang B, Li L, Pang Y. Metabolic-associated fatty liver disease in relation to site-specific and multiple-site subclinical atherosclerosis. Liver Int 2023; 43:1691-1698. [PMID: 37337780 DOI: 10.1111/liv.15591] [Citation(s) in RCA: 4] [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: 12/18/2022] [Revised: 03/19/2023] [Accepted: 04/15/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND & AIMS Non-alcoholic fatty liver disease (NAFLD) and the newly proposed metabolic-associated fatty liver disease (MAFLD) were each associated with subclinical atherosclerosis. However, there is limited evidence on risk of atherosclerosis in individuals who meet the criteria for one but not the other. We aimed to investigate the associations of MAFLD or NAFLD status with site-specific and multiple-site atherosclerosis. METHODS This is a prospective cohort study involving 4524 adults within the MJ health check-up cohort. Logistic regression model was used to estimate odds ratios (ORs) and confidence intervals (CIs) for subclinical atherosclerosis (elevated carotid intima-media thickness [CIMT], carotid plaque [CP], coronary artery calcification [CAC] and retinal atherosclerosis [RA]) associated with MAFLD or NAFLD status, MAFLD subtypes and fibrosis status. RESULTS MAFLD was associated with higher risks of elevated CIMT, CP, CAC and RA (OR: 1.41 [95% CI 1.18-1.68], 1.23 [1.02-1.48], 1.60 [1.24-2.08], and 1.79 [1.28-2.52], respectively), whereas NAFLD per se did not increase risk of atherosclerosis except for elevated CIMT. Individuals who met both definitions or the definition for MAFLD but not NAFLD had higher risk of subclinical atherosclerosis. Among MAFLD subtypes, MAFLD with diabetes had the highest risk of subclinical atherosclerosis, but the associations did not differ by fibrosis status. Stronger positive associations were observed of MAFLD with multiple-site than single-site atherosclerosis. CONCLUSIONS In Chinese adults, MAFLD was associated with subclinical atherosclerosis, with stronger associations for multiple-site atherosclerosis. More attention should be paid to MAFLD with diabetes, and MAFLD might be a better predictor for atherosclerotic disease than NAFLD.
Collapse
Affiliation(s)
- Xinyu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ruosu Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Sailimai Man
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Meinian Institute of Health, Beijing, China
- Peking University Health Science Center, Meinian Public Health Institute, Beijing, China
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
| | | | - Xiaona Wang
- Beijing MJ Health Check-up Center, Beijing, China
| | - Yuhan Deng
- Meinian Institute of Health, Beijing, China
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Bo Wang
- Meinian Institute of Health, Beijing, China
- Peking University Health Science Center, Meinian Public Health Institute, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China
| |
Collapse
|
43
|
Cui Y, Qu Z, Hu W, Shi H. Relationship between Uric Acid to High Density Lipoprotein Cholesterol Ratio and Nonalcoholic Fatty Liver Disease in Nonoverweight/Obese Patients with Type 2 Diabetes. Int J Endocrinol 2023; 2023:2513175. [PMID: 37560201 PMCID: PMC10409575 DOI: 10.1155/2023/2513175] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 07/20/2023] [Accepted: 07/25/2023] [Indexed: 08/11/2023] Open
Abstract
AIMS To investigate the relationship between uric acid to high-density lipoprotein cholesterol ratio (UHR) levels and nonalcoholic fatty liver disease (NAFLD) in nonoverweight/obese patients with type 2 diabetes. METHODS A retrospective study was designed including a total of 343 inpatients with type 2 diabetes whose BMI<24 kg/m2. The population was divided into three groups as the UHR tertiles. Logistic regression analysis was performed to estimate odds ratios (ORs) of UHR for NAFLD. ROC curve analysis was used to estimate the diagnostic value of UHR for NAFLD. RESULTS The prevalence rat of NAFLD enhanced progressively from the tertile 1 to tertile 3 of UHR (30.70% vs. 56.52% vs. 73.68%). Logistic regression analysis showed that participants in the higher UHR groups, compared with those in the first tertile group, had higher occurrence risks for NAFLD. The positive association between UHR and NAFLD was independent of age, BMI, blood pressure, hepatic enzymes, and other components of metabolic disorders. ROC curve analysis showed that the area under curve (AUC), sensitivity, and specificity for UHR were 0.697, 0.761, and 0.553, respectively. CONCLUSIONS In type 2 diabetic patients without overweight or obesity, UHR is significantly associated with NAFLD and can be used as a novel and useful predictor for NAFLD onset.
Collapse
Affiliation(s)
- Yuliang Cui
- Department of Endocrinology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou 253000, China
| | - Zhenzhen Qu
- Department of Endocrinology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou 253000, China
| | - Wenmei Hu
- Department of Endocrinology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou 253000, China
| | - Haiyan Shi
- Department of Endocrinology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou 253000, China
| |
Collapse
|
44
|
Zhang S, Li H, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Zhang T, Wang X, Zhang J, Dong J, Zheng X, Cao Z, Zhang X, Dong X, Sun S, Wang X, Zhou M, Jia Q, Song K, Borné Y, Sonestedt E, Qi L, Niu K. Added sugar intake and its forms and sources in relation to risk of non-alcoholic fatty liver disease: results from the Tianjin Chronic Low-grade Systemic Inflammation and Health cohort study. Br J Nutr 2023; 129:2094-2101. [PMID: 36156191 DOI: 10.1017/s000711452200277x] [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] [Indexed: 11/06/2022]
Abstract
It has been suggested that added sugar intake is associated with non-alcoholic fatty liver disease (NAFLD). However, previous studies only focused on sugar-sweetened beverages; the evidence for associations with total added sugars and their sources is scarce. This study aimed to examine the associations of total added sugars, their physical forms (liquid v. solid) and food sources with risk of NAFLD among adults in Tianjin, China. We used data from 15 538 participants, free of NAFLD, other liver diseases, CVD, cancer or diabetes at baseline (2013-2018 years). Added sugar intake was estimated from a validated 100-item FFQ. NAFLD was diagnosed by ultrasonography after exclusion of other causes of liver diseases. Multivariable Cox proportional hazards models were fitted to calculate hazard ratios (HR) and corresponding 95 % CI for NAFLD risk with added sugar intake. During a median follow-up of 4·2 years, 3476 incident NAFLD cases were documented. After adjusting for age, sex, BMI and its change from baseline to follow-up, lifestyle factors, personal and family medical history and overall diet quality, the multivariable HR of NAFLD risk were 1·18 (95 % CI 1·06, 1·32) for total added sugars, 1·20 (95 % CI 1·08, 1·33) for liquid added sugars and 0·96 (95 % CI 0·86, 1·07) for solid added sugars when comparing the highest quartiles of intake with the lowest quartiles of intake. In this prospective cohort of Chinese adults, higher intakes of total added sugars and liquid added sugars, but not solid added sugars, were associated with a higher risk of NAFLD.
Collapse
Affiliation(s)
- Shunming Zhang
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Jun Dong
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xiaoxi Zheng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Zhixia Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xu Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Xinrong Dong
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kaijun Niu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People's Republic of China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, People's Republic of China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, People's Republic of China
| |
Collapse
|
45
|
DiStefano JK, Gerhard GS. Metabolic dysfunction and nonalcoholic fatty liver disease risk in individuals with a normal body mass index. Curr Opin Gastroenterol 2023; 39:156-162. [PMID: 37144532 PMCID: PMC10201924 DOI: 10.1097/mog.0000000000000920] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
PURPOSE OF REVIEW Nonalcoholic fatty liver disease (NAFLD) is strongly associated with obesity, but is also common in individuals with a normal body mass index (BMI), who also experience the hepatic inflammation, fibrosis, and decompensated cirrhosis associated with NAFLD progression. The clinical evaluation and treatment of NAFLD in this patient population are challenging for the gastroenterologist. A better understanding of the epidemiology, natural history, and outcomes of NAFLD in individuals with normal BMI is emerging. This review examines the relationship between metabolic dysfunction and clinical characteristics associated with NAFLD in normal-weight individuals. RECENT FINDINGS Despite a more favorable metabolic profile, normal-weight NAFLD patients exhibit metabolic dysfunction. Visceral adiposity may be a critical risk factor for NAFLD in normal-weight individuals, and waist circumference may be better than BMI for assessing metabolic risk in these patients. Although screening for NAFLD is not presently recommended, recent guidelines may assist clinicians in the diagnosis, staging, and management of NAFLD in individuals with a normal BMI. SUMMARY Individuals with a normal BMI likely develop NAFLD as a result of different etiologies. Subclinical metabolic dysfunction may be a key component of NAFLD in these patients, and efforts to better understand this relationship in this patient population are needed.
Collapse
Affiliation(s)
- Johanna K. DiStefano
- Diabetes and Fibrotic Disease Research Unit, Translational Genomics Research Institute
| | - Glenn S. Gerhard
- Lewis Katz School of Medicine, Temple University School of Medicine, Philadelphia, PA 19140
| |
Collapse
|
46
|
Zhang D, Mi Z, Peng J, Yang T, Han Y, Zhai Y, Song C, Teng X, Sun W, Guo J, Bilonda KP. Nonalcoholic Fatty Liver Disease as an Emerging Risk Factor and Potential Intervention Target for Atherosclerotic Cardiovascular Diseases. J Cardiovasc Pharmacol 2023; 81:327-335. [PMID: 36917556 PMCID: PMC10155697 DOI: 10.1097/fjc.0000000000001418] [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: 11/20/2022] [Accepted: 02/23/2023] [Indexed: 03/16/2023]
Abstract
ABSTRACT Nonalcoholic fatty liver disease (NAFLD) is an underappreciated independent risk factor for atherosclerotic cardiovascular diseases (ASCVDs). In recent years, the risk of ASCVD has increased along with the prevalence of NAFLD. ASCVD events are highly prevalent and are the main contributor to death in patients with NAFLD. The association between NAFLD and ASCVD has been validated in numerous observational, cohort, and genetic studies. Most of these studies agree that NAFLD significantly increases the risk of developing atherosclerosis and ASCVD. In addition, the underlying proatherosclerotic mechanisms of NAFLD have been gradually revealed; both disorders share several common pathophysiologic mechanisms including insulin resistance, whereas systemic inflammation and dyslipidemia driven by NAFLD directly promote atherosclerosis. Recently, NAFLD, as an emerging risk enhancer for ASCVD, has attracted attention as a potential treatment target for ASCVD. This brief review aims to illustrate the potential mechanistic insights, present recent clinically relevant investigations, and further explore the emerging therapies such as novel antidiabetic and lipid-lowering agents that could improve NAFLD and reduce ASCVD risk.
Collapse
Affiliation(s)
- Daqing Zhang
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Zhen Mi
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Jiya Peng
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Tiangui Yang
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Yuze Han
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
- Department of Cardiology, Dalian Friendship Hospital, Dalian City, PR China; and
| | - Yujia Zhai
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Chenliang Song
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Xianzhuo Teng
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Wei Sun
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
- Department of Cardiology, Dalian Third People's Hospital, Dalian City, PR China
| | - Jing Guo
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| | - Kabeya Paulin Bilonda
- Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang City, PR China
| |
Collapse
|
47
|
Huang Q, An Z, Xin X, Sun Q, Gao S, Lv S, Xu X, Yang S, Lu F, Yuan J, Zhao Y, Hu Y, Liu P, Feng Q. Effectiveness and safety analysis of Danggui Shaoyao Powder for the treatment of non-alcoholic fatty liver disease: study protocol for a randomized, double-blind, placebo-controlled clinical trial. BMC Complement Med Ther 2023; 23:126. [PMID: 37076843 PMCID: PMC10114303 DOI: 10.1186/s12906-023-03948-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 04/06/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND The incidence of non-alcoholic fatty liver disease (NAFLD) has been on the rise in recent years, and there are no effective drugs to treat NAFLD; therefore, effective prevention and treatment of NAFLD have become a new challenge. Danggui Shaoyao Powder (DGSY) is a classic prescription commonly used in clinical practice and has been shown to reduce hepatic steatosis in patients with NAFLD. In addition, previous studies have shown that DGSY can alleviate hepatic steatosis and inflammation in NAFLD mice. Although clinical practice and basic studies have shown that DGSY is effective in NAFLD, high levels of clinical evidence are lacking. Therefore, a standardized RCT study protocol is required to evaluate its clinical efficacy and safety. METHODS AND ANALYSIS This study will be a randomized, double-blind, placebo-controlled, and single-center trial. According to the random number table, NAFLD participants will be randomly divided into the DGSY or placebo group for 24 weeks. The follow-up period will be 6 weeks after drug withdrawal. The primary outcome is the relative change in MRI-proton density fat fraction (MRI-PDFF) from baseline to 24 weeks. Absolute changes in serum alanine aminotransferase (ALT), liver stiffness measurement (LSM), body mass index (BMI), blood lipid, blood glucose, and insulin resistance index will be selected as secondary outcomes to comprehensively evaluate the clinical efficacy of DGSY in the treatment of NAFLD. The safety of DGSY will be evaluated by renal function, routine blood and urine tests, and electrocardiogram. DISCUSSION This study will provide evidence-based medical corroboration for the clinical application of DGSY and promote the development and application of this classic prescription. TRIAL REGISTRATION http://www.chictr.org.cn . TRIAL NUMBER ChiCTR2000029144. Registered on 15 Jan 2020.
Collapse
Affiliation(s)
- Qian Huang
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
| | - Ziming An
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
| | - Xin Xin
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
| | - Qinmei Sun
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Siting Gao
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Sheng Lv
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiao Xu
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shuohui Yang
- Department of Radiology, Shanghai Municipal Hospital of Traditional Chinese MedicineShanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fang Lu
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jie Yuan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yu Zhao
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yiyang Hu
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
| | - Ping Liu
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
| | - Qin Feng
- Institute of Liver DiseasesShuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China.
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China.
| |
Collapse
|
48
|
Wang L, Zhou H, Liu Y, Wang X, Yan W, Zhang J, Ren H. Factors influencing adherence to lifestyle prescriptions among patients with nonalcoholic fatty liver disease: A qualitative study using the health action process approach framework. Front Public Health 2023; 11:1131827. [PMID: 37006574 PMCID: PMC10065407 DOI: 10.3389/fpubh.2023.1131827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 02/17/2023] [Indexed: 03/19/2023] Open
Abstract
Background and objectiveLifestyle modifications aimed at weight loss have been introduced as a cornerstone of nonalcoholic fatty liver disease (NAFLD) management. However, very few patients follow the doctor's prescription to change their lifestyle to achieve weight loss in the real world. The purpose of this study was to use the Health Action Process Approach (HAPA) model to examine the factors that affect adherence to lifestyle prescriptions among patients with NAFLD.MethodsSemi-structured interviews were conducted with patients with NAFLD. Reflexive thematic analysis and framework analysis were used to determine naturally identified themes and allocate them to theoretically driven domains.ResultsThirty adult patients with NAFLD were interviewed, and the identified themes were mapped directly onto the constructs of the HAPA model. This study revealed that key barriers to adhering to lifestyle prescriptions are related to the coping strategy and outcome expectation constructs of the HAPA model. For physical activity, conditional limits, lack of time, symptoms such as fatigue and poor physical fitness, and fear of sports injury are the primary barriers. Barriers to diet are mainly diet environment, mental stress, and food cravings. Key facilitators for adherence to lifestyle prescriptions include developing simple and specific action plans, coping strategies to flexibly deal with obstacles and difficulties, receiving regular feedback from doctors to improve self-efficacy, and using regular tests and behavior recording to enhance action control.ConclusionsFuture lifestyle intervention programs should pay particular attention to the planning, self-efficacy, and action control-related constructors of the HAPA model to promote the adherence of patients with NAFLD to lifestyle prescriptions.
Collapse
Affiliation(s)
- Lina Wang
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, Beijing, China
| | - Huixuan Zhou
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, Beijing, China
| | - Yali Liu
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xin Wang
- Department of Nursing, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Wenjing Yan
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, Beijing, China
- School of Physical Education, Shanxi Normal University, Taiyuan, China
| | - Jing Zhang
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Jing Zhang
| | - Hong Ren
- Department of Physical Fitness and Health, School of Sport Science, Beijing Sport University, Beijing, China
- Hong Ren
| |
Collapse
|
49
|
de Avelar CR, Nunes BVC, da Silva Sassaki B, Dos Santos Vasconcelos M, de Oliveira LPM, Lyra AC, Bueno AA, de Jesus RP. Efficacy of silymarin in patients with non-alcoholic fatty liver disease - the Siliver trial: a study protocol for a randomized controlled clinical trial. Trials 2023; 24:177. [PMID: 36899430 PMCID: PMC10000352 DOI: 10.1186/s13063-023-07210-6] [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: 05/04/2022] [Accepted: 02/27/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is one of the most prevalent liver diseases globally. Pharmacological treatments for NAFLD are still limited. Silymarin, a compound extracted from Silybum marianum, is an herbal supplement traditionally used in folk medicine for liver disorders. It has been proposed that silymarin may possess hepatoprotective and anti-inflammatory properties. The present trial aims to assess the efficacy of silymarin supplementation in the adjuvant treatment of NAFLD in adult patients. METHOD This is a randomized double-blind placebo-controlled clinical trial recruiting adult NAFLD patients in therapy on an outpatient basis. Participants are randomized to an intervention (I) or control (C) group. Both groups receive identical capsules and are followed for 12 weeks. I receives 700mg of silymarin + 8mg vitamin E + 50mg phosphatidylcholine daily, while C receives 700mg maltodextrin + 8mg vitamin E + 50mg phosphatidylcholine daily. Patients undergo a computerized tomography (CT) scan and blood tests at the beginning and end of the study. Monthly face-to-face consultations and weekly telephone contact are carried out for all participants. The primary outcome assessed will be change in NAFLD stage, if any, assessed by the difference in attenuation coefficient between liver and spleen, obtained by upper abdomen CT. DISCUSSION The results of this study may provide a valuable opinion on whether silymarin can be used as adjuvant therapy for the management or treatment of NAFLD. The data presented on the efficacy and safety of silymarin may provide more foundation for further trials and for a possible use in clinical practice. TRIAL REGISTRATION This study has been approved by the Research Ethics Committee of the Professor Edgard Santos University Hospital Complex, Salvador BA, Brazil, under protocol 2.635.954. The study is carried out according to guidelines and regulatory standards for research involving humans, as set out in Brazilian legislation. Trial registration - ClinicalTrials.gov : NCT03749070. November 21, 2018.
Collapse
Affiliation(s)
- Camila Ribeiro de Avelar
- Department of Nutrition Sciences, Federal University of Bahia, Bahia, 32 Araújo Pinho Street, Canela, Salvador, Bahia, 40.110-150, Brazil.
| | - Beatriz Vieira Coelho Nunes
- Department of Nutrition Sciences, Federal University of Bahia, Bahia, 32 Araújo Pinho Street, Canela, Salvador, Bahia, 40.110-150, Brazil
| | - Betina da Silva Sassaki
- Department of Nutrition Sciences, Federal University of Bahia, Bahia, 32 Araújo Pinho Street, Canela, Salvador, Bahia, 40.110-150, Brazil
| | - Mariana Dos Santos Vasconcelos
- Department of Nutrition Sciences, Federal University of Bahia, Bahia, 32 Araújo Pinho Street, Canela, Salvador, Bahia, 40.110-150, Brazil
| | | | - André Castro Lyra
- Gastrohepatology Service, Professor Edgard Santos University Hospital, Federal University of Bahia, Salvador, Bahia, Brazil
| | - Allain Amador Bueno
- College of Health, Life and Environmental Sciences, University of Worcester, Worcester, WR2 6AJ, UK
| | - Rosângela Passos de Jesus
- Department of Nutrition Sciences, Federal University of Bahia, Bahia, 32 Araújo Pinho Street, Canela, Salvador, Bahia, 40.110-150, Brazil
| |
Collapse
|
50
|
Qin S, Hou X, Wen Y, Wang C, Tan X, Tian H, Ao Q, Li J, Chu S. Machine learning classifiers for screening nonalcoholic fatty liver disease in general adults. Sci Rep 2023; 13:3638. [PMID: 36869105 PMCID: PMC9984396 DOI: 10.1038/s41598-023-30750-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 02/28/2023] [Indexed: 03/05/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is one of major causes of end-stage liver disease in the coming decades, but it shows few symptoms until it develops into cirrhosis. We aim to develop classification models with machine learning to screen NAFLD patients among general adults. This study included 14,439 adults who took health examination. We developed classification models to classify subjects with or without NAFLD using decision tree, random forest (RF), extreme gradient boosting (XGBoost) and support vector machine (SVM). The classifier with SVM was showed the best performance with the highest accuracy (0.801), positive predictive value (PPV) (0.795), F1 score (0.795), Kappa score (0.508) and area under the precision-recall curve (AUPRC) (0.712), and the second top of area under receiver operating characteristic curve (AUROC) (0.850). The second-best classifier was RF model, which was showed the highest AUROC (0.852) and the second top of accuracy (0.789), PPV (0.782), F1 score (0.782), Kappa score (0.478) and AUPRC (0.708). In conclusion, the classifier with SVM is the best one to screen NAFLD in general population based on the results from physical examination and blood testing, followed by the classifier with RF. Those classifiers have a potential to screen NAFLD in general population for physician and primary care doctors, which could benefit to NAFLD patients from early diagnosis.
Collapse
Affiliation(s)
- Shenghua Qin
- Health Management Center, Guilin People's Hospital, Guilin, China
- Philippine Christian University, Manila, Philippines
| | - Xiaomin Hou
- Health Management Center, Guilin People's Hospital, Guilin, China
| | - Yuan Wen
- Health Management Center, Guilin People's Hospital, Guilin, China
| | - Chunqing Wang
- Health Management Center, Guilin People's Hospital, Guilin, China
| | - Xiaxian Tan
- Health Management Center, Guilin People's Hospital, Guilin, China
| | - Hao Tian
- Health Management Center, Guilin People's Hospital, Guilin, China
| | - Qingqing Ao
- Health Management Center, Guilin People's Hospital, Guilin, China
| | - Jingze Li
- Health Management Center, Guilin People's Hospital, Guilin, China
| | - Shuyuan Chu
- Laboratory of Respiratory Disease, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China.
| |
Collapse
|