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Shi XY, Liu YK, Chen Y, Jiang ZY, Ye MX, Wang J. The correlation of apolipoprotein B and apolipoprotein A1 with metabolic dysfunction-associated steatotic liver disease in children and adolescents with obesity. Pediatr Obes 2025:e70017. [PMID: 40329497 DOI: 10.1111/ijpo.70017] [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: 10/15/2024] [Revised: 03/05/2025] [Accepted: 04/07/2025] [Indexed: 05/08/2025]
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) has become a prevalent liver condition in children and teenagers with obesity. Unfortunately, there is no standardized treatment. OBJECTIVE To examine the connection between apolipoprotein B (apoB), apolipoprotein A1 (apoA1), and the apoB/apoA1 ratio with the occurrence of MASLD in this population. METHODS A retrospective study was made on children and adolescents with obesity in a children's hospital between the period 2020 and 2022. Anthropometric data, ultrasound results, and blood biochemistry were analysed to assess the connection between apoB, apoA1, and the presence of MASLD. RESULTS Of the 916 participants included, 313 were diagnosed with MASLD. The level of serum apoB reflected a substantial dose-response correlation with the odds of having MASLD. When apoB levels exceeded the 50th percentile, the risk increased significantly, and at the 95th percentile, the odds were 4.83 times higher than at the 50th percentile (95% CI: 2.02-11.56). The ratio of apoB/apoA1 at the 95th percentile was connected to a 2.41-fold higher prevalence compared to the 50th percentile (95% CI: 1.33-4.37). No significant correlation was found between the levels of apoA1 and MASLD prevalence. CONCLUSION Elevated levels of apoB and the apoB/apoA1 ratio have been strongly connected to increased MASLD prevalence in children and adolescents with obesity; hence, signifying their potential usefulness as biomarkers for early detection and intervention.
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Affiliation(s)
- Xiao-Yan Shi
- Children's Health Management Center, Children's Hospital of Soochow University, Suzhou, China
| | - Ya-Kun Liu
- General Surgery Department, Children's Hospital of Soochow University, Suzhou, China
| | - Yan Chen
- Department of Children Health Care, Children's Hospital of Soochow University, Suzhou, China
| | - Zhi-Ying Jiang
- Department of Children Health Care, Children's Hospital of Soochow University, Suzhou, China
| | - Meng-Xuan Ye
- Department of Children Health Care, Children's Hospital of Soochow University, Suzhou, China
| | - Jian Wang
- Pediatric Research Institute of Soochow University, Children's Hospital of Soochow University, Suzhou, China
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Wang S, Gao H, Zhang M, Chen S. High Apolipoprotein B/Apolipoprotein A1 is Associated with Vitamin D Deficiency Among Type 2 Diabetes Patients. Diabetes Metab Syndr Obes 2024; 17:2357-2369. [PMID: 38881697 PMCID: PMC11178075 DOI: 10.2147/dmso.s465391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 06/05/2024] [Indexed: 06/18/2024] Open
Abstract
Purpose To explore the relationship between vitamin D (VitD) deficiency and the apolipoprotein B/apolipoprotein A1 (apo B/A1) in type 2 diabetes mellitus (T2DM) patients. Methods This was a retrospective study that lasted 2 years and 6 months, collecting information and laboratory data from 784 patients with T2DM. Patients were divided into VitD deficiency group (n = 433) and non-VitD deficiency group (n = 351) based on VitD levels. Calculated apo B/A1 ratio, and patients were further divided into high-apo B/A1 group (n = 392) and low-apo B/A1 group (n = 392) based on the median of the apo B/A1. All data were analyzed using Prism 8.0.1 and R version 4.3.1 software. Results Apo B/A1 levels of T2DM patients combined with VitD deficiency was significantly higher than that of non-VitD deficiency patients, and the VitD levels of patients with high apo B/A1 was significantly lower than that patients with low apo B/A1 (all P<0.001). Spearman correlation analysis showed that VitD levels were negatively correlated with apo B/A1 (r=-0.238, P<0.001). Multiple linear regression analysis revealed after adjusting other factors, VitD levels were significantly negatively associated with apo B/A1 (β=-0.123, P=0.001). Binary logistic regression analysis showed apoB/A1 was an independent risk factor for VitD deficiency in T2DM patients. Restrictive cubic spline indicated a significant linear relationship between apoB/A1 and VitD deficiency (P general trend <0.0001, P nonlinear = 0.0896), after stratification of gender, the results showed that apo B/A1 was more susceptible to VitD deficiency in female patients. The receiver operating characteristic (ROC) curve analysis showed that the area under the curve, sensitivity and specificity of the apo B/A1 for VitD deficiency were 0.654, 66.3% and 59.8%, respectively. Conclusion The apo B/A1 was significantly negatively associated with VitD levels and an independent risk factor for VitD deficiency in patients with T2DM.
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Affiliation(s)
- Shuqi Wang
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China
| | - Haina Gao
- Department of Internal Medicine, The Second Hospital of Shijiazhuang, Shijiazhuang, People's Republic of China
| | - Mengmeng Zhang
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China
| | - Shuchun Chen
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China
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Zhang M, Huang X, Lin S, Liu B. Association between maternal blood lipids and neonatal hypoglycaemia in pregnancy with gestational diabetes mellitus: a cohort study. Lipids Health Dis 2024; 23:170. [PMID: 38849832 PMCID: PMC11157930 DOI: 10.1186/s12944-024-02168-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: 01/16/2024] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) prevalence is on the rise globally. Offspring of diabetic mothers face increased risk of neonatal hypoglycaemia (NH), and women with GDM have abnormal lipid profiles. However, there is no consensus on the link between maternal blood lipids and NH in infants from mothers with GDM. This study aimed to explore how maternal blood lipids affect NH. METHODS A retrospective cohort study was conducted at the First Affiliated Hospital of Sun Yat-sen University. Information on participants' baseline characteristics and maternal metabolic profiles of glucose and lipids was collected. Significant variables from the univariate analysis were included in logistic regression, which was used to construct the predictive model for NH. A nomogram was constructed for visualizing the model and assessed using the area under the receiver operating characteristic (ROC) curve (AUC). RESULTS Neonatal capillary blood glucose (CBG) decreased rapidly in the first hour after birth, increased gradually from the first to the second hour, and then remained stable. In the NH group, 86.11% (502/583) of hypoglycaemia cases occurred within the first two hours after birth. Multivariate logistic regression suggested that the lipid indices of maternal apoprotein B/apoprotein A1 (Apo-B/Apo-A1) (odds ratio (OR) = 1.36, 95% confidence intervals (CIs): 1.049-1.764, P = 0.02) and apoprotein E (Apo-E) (OR = 1.014, 95% CIs: 1.004-1.024, P = 0.004) were positively associated with NH in neonates from mothers with GDM. Triglycerides (TGs) (OR = 0.883, 95% CIs: 0.788-0.986, P = 0.028) were inversely associated with NH. Maternal glycated haemoglobin (HbA1c), age, twin pregnancy and caesarean delivery also had predictive value of NH. The AUC of the nomogram derived from these factors for the prediction model of NH was 0.657 (95% CIs: 0.630-0.684). CONCLUSIONS The present study revealed that the Apo-B/Apo-A1 and Apo-E levels were associated with an increased risk of NH. A nomogram was developed to forecast the risk of NH in babies born to mothers with GDM, incorporating maternal blood lipids, HbA1c, age, twin pregnancy, and caesarean section. The trajectory of glycaemia for neonates indicates the need for intensive CBG monitoring within 2 h of birth for neonates from mothers with GDM.
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Affiliation(s)
- Mo Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynaecological Diseases, Guangzhou, China
| | - Xiaoqing Huang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynaecological Diseases, Guangzhou, China
| | - Suiwen Lin
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynaecological Diseases, Guangzhou, China
| | - Bin Liu
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynaecological Diseases, Guangzhou, China.
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Gripshover TC, Wahlang B, Head KZ, Luo J, Bolatimi OE, Smith ML, Rouchka EC, Chariker JH, Xu J, Cai L, Cummins TD, Merchant ML, Zheng H, Kong M, Cave MC. Multiomics Analysis of PCB126's Effect on a Mouse Chronic-Binge Alcohol Feeding Model. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:47007. [PMID: 38619879 PMCID: PMC11018247 DOI: 10.1289/ehp14132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Environmental pollutants, including polychlorinated biphenyls (PCBs) have been implicated in the pathogenesis of liver disease. Our group recently demonstrated that PCB126 promoted steatosis, hepatomegaly, and modulated intermediary metabolism in a rodent model of alcohol-associated liver disease (ALD). OBJECTIVE To better understand how PCB126 promoted ALD in our previous model, the current study adopts multiple omics approaches to elucidate potential mechanistic hypotheses. METHODS Briefly, male C57BL/6J mice were exposed to 0.2 mg / kg polychlorinated biphenyl (PCB) 126 or corn oil vehicle prior to ethanol (EtOH) or control diet feeding in the chronic-binge alcohol feeding model. Liver tissues were collected and prepared for mRNA sequencing, phosphoproteomics, and inductively coupled plasma mass spectrometry for metals quantification. RESULTS Principal component analysis showed that PCB126 uniquely modified the transcriptome in EtOH-fed mice. EtOH feeding alone resulted in > 4,000 differentially expressed genes (DEGs), and PCB126 exposure resulted in more DEGs in the EtOH-fed group (907 DEGs) in comparison with the pair-fed group (503 DEGs). Top 20 significant gene ontology (GO) biological processes included "peptidyl tyrosine modifications," whereas top 25 significantly decreasing GO molecular functions included "metal/ion/zinc binding." Quantitative, label-free phosphoproteomics and western blot analysis revealed no major significant PCB126 effects on total phosphorylated tyrosine residues in EtOH-fed mice. Quantified hepatic essential metal levels were primarily significantly lower in EtOH-fed mice. PCB126-exposed mice had significantly lower magnesium, cobalt, and zinc levels in EtOH-fed mice. DISCUSSION Previous work has demonstrated that PCB126 is a modifying factor in metabolic dysfunction-associated steatotic liver disease (MASLD), and our current work suggests that pollutants also modify ALD. PCB126 may, in part, be contributing to the malnutrition aspect of ALD, where metal deficiency is known to contribute and worsen prognosis. https://doi.org/10.1289/EHP14132.
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Affiliation(s)
- Tyler C. Gripshover
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Superfund Research Program, University of Louisville, Louisville, Kentucky, USA
| | - Banrida Wahlang
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Superfund Research Program, University of Louisville, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
| | - Kimberly Z. Head
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- Hepatobiology & Toxicology COBRE, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Jianzhu Luo
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
| | - Oluwanifemi E. Bolatimi
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Melissa L. Smith
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Eric C. Rouchka
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Kentucky IDeA Network of Biomedical Research Excellence (KY INBRE) Bioinformatics Core, University of Louisville, Louisville, Kentucky, USA
| | - Julia H. Chariker
- Kentucky IDeA Network of Biomedical Research Excellence (KY INBRE) Bioinformatics Core, University of Louisville, Louisville, Kentucky, USA
- Department of Neuroscience Training, University of Louisville, Louisville, Kentucky, USA
| | - Jason Xu
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Lu Cai
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Timothy D. Cummins
- Division of Nephrology and Hypertension, Department of Medicine and Clinical Proteomics Center, University of Louisville, Louisville, Kentucky, USA
| | - Michael L. Merchant
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Division of Nephrology and Hypertension, Department of Medicine and Clinical Proteomics Center, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, Kentucky, USA
| | - Hao Zheng
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
| | - Maiying Kong
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Department of Bioinformatics and Biostatistics School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, Kentucky, USA
- Brown Cancer Center, University of Louisville, Louisville, Kentucky, USA
| | - Matthew C. Cave
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Superfund Research Program, University of Louisville, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Hepatobiology & Toxicology COBRE, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, Kentucky, USA
- The Robley Rex Veterans Affairs Medical Center, Louisville, Kentucky, USA
- The Liver Transplant Program at UofL Health – Jewish Hospital Trager Transplant Center, Louisville, Kentucky, USA
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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.
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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
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Vitulo M, Gnodi E, Rosini G, Meneveri R, Giovannoni R, Barisani D. Current Therapeutical Approaches Targeting Lipid Metabolism in NAFLD. Int J Mol Sci 2023; 24:12748. [PMID: 37628929 PMCID: PMC10454602 DOI: 10.3390/ijms241612748] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/07/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD, including nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH)) is a high-prevalence disorder, affecting about 1 billion people, which can evolve to more severe conditions like cirrhosis or hepatocellular carcinoma. NAFLD is often concomitant with conditions of the metabolic syndrome, such as central obesity and insulin-resistance, but a specific drug able to revert NAFL and prevent its evolution towards NASH is still lacking. With the liver being a key organ in metabolic processes, the potential therapeutic strategies are many, and range from directly targeting the lipid metabolism to the prevention of tissue inflammation. However, side effects have been reported for the drugs tested up to now. In this review, different approaches to the treatment of NAFLD are presented, including newer therapies and ongoing clinical trials. Particular focus is placed on the reverse cholesterol transport system and on the agonists for nuclear factors like PPAR and FXR, but also drugs initially developed for other conditions such as incretins and thyromimetics along with validated natural compounds that have anti-inflammatory potential. This work provides an overview of the different therapeutic strategies currently being tested for NAFLD, other than, or along with, the recommendation of weight loss.
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Affiliation(s)
- Manuela Vitulo
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (M.V.); (E.G.); (R.M.)
| | - Elisa Gnodi
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (M.V.); (E.G.); (R.M.)
| | - Giulia Rosini
- Department of Biology, University of Pisa, 56021 Pisa, Italy; (G.R.); (R.G.)
| | - Raffaella Meneveri
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (M.V.); (E.G.); (R.M.)
| | - Roberto Giovannoni
- Department of Biology, University of Pisa, 56021 Pisa, Italy; (G.R.); (R.G.)
| | - Donatella Barisani
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (M.V.); (E.G.); (R.M.)
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