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Lin Q, Zheng L, Pan W, Zhou L, Lai R, Huang Y, Zhang N, Yang Y, Xiao M, Ye J. Fucoidan derived from Saccharina japonica: structural characterization and amelioration of high-fat-diet induced obesity in male C57BL/6 J mice via modulating the gut microbiota and lipid metabolites. Int J Biol Macromol 2025; 310:143026. [PMID: 40216141 DOI: 10.1016/j.ijbiomac.2025.143026] [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: 10/09/2024] [Revised: 04/01/2025] [Accepted: 04/08/2025] [Indexed: 04/29/2025]
Abstract
Fucoidan has great potential for the prevention and treatment of obesity. This study aimed to determine the detailed structure of two fucoidan fractions (LF3-1 and LF4-1) from Saccharina japonica (S. japonica) and its mechanism for treating obesity. LF3-1 and LF4-1, with a molecular weight of 305.3 kDa and 182.1 kDa, respectively, were obtained from S. japonica. The backbone of LF3-1 consisted of →1,3)-α-L-Fucp4S-(1 → and →1,3)-β-D-Galp6S-(1→, branched with α-L-Fucp, β-D-Galp, and β-D-Manp. LF4-1's backbone consisted of →1,3)-α-L-Fucp4S-(1 → and →1,6)-β-D-Galp3S-(1→, branched with α-L-Fucp, β-D-Galp, and β-D-Manp. Over 24 weeks in high-fat-diet-fed C57BL/6 J mice, a mixture of LF3-1 and LF4-1 (100 and 300 mg/kg/d FUC) effectively reduced body weight and insulin resistance, ameliorated dyslipidemia, protected the intestinal barrier integrity, up-regulated Ucp-1, Prdm16 and Pgc-1α expression to inhibit fat accumulation, up-regulated Ppar-α, Ppar-γ, and Cpt-1 expression and down-regulation Fas, Lxr, and Srebp-1c expression to regulate lipid metabolism, and down-regulated expression of Tnf-α, Il-6, Il-1β, and Mcp-1 to ameliorate inflammation. In addition, FUC increased the abundance of Bacteroidetes and Lactobacillus. Lipid metabolomics analysis showed that Erysipelatoclostridium, Lachnoclostridium, Ruminococcaceae_UCG-014, and Staphylococcus may be involved in regulating sphingosine (SPH). This study revealed the structure properties and the potential of the application of FUC in the amelioration of obesity.
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Affiliation(s)
- Qi Lin
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China
| | - Linjing Zheng
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China
| | - Weipeng Pan
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China
| | - Lijuan Zhou
- Jinri Pharmaceutical (China) Co., Ltd, Xiamen 361100, China
| | - Rongsheng Lai
- Jinri Pharmaceutical (China) Co., Ltd, Xiamen 361100, China
| | - Yayan Huang
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China
| | - Na Zhang
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China
| | - Yucheng Yang
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China
| | - Meitian Xiao
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China.
| | - Jing Ye
- College of Chemical Engineering, Huaqiao University, Xiamen 361021, China; Xiamen Engineering and Technological Research Center for Comprehensive Utilization of Marine Biological Resources, Xiamen 361021, China.
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Lai H, Tu Y, Liao C, Zhang S, He L, Li J. Joint assessment of abdominal obesity and non-traditional lipid parameters for primary prevention of cardiometabolic multimorbidity: insights from the China health and retirement longitudinal study 2011-2018. Cardiovasc Diabetol 2025; 24:109. [PMID: 40057762 PMCID: PMC11890515 DOI: 10.1186/s12933-025-02667-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: 01/16/2025] [Accepted: 02/26/2025] [Indexed: 05/13/2025] Open
Abstract
BACKGROUND Obesity and abnormal lipid metabolism increase the risk of various cardiometabolic diseases, including diabetes, heart disease, and stroke. However, the impact of abdominal obesity (AO) and non-traditional lipid parameters on the risk of cardiometabolic multimorbidity (CMM) remains unclear. This study aims to investigate the separate and combined effects of AO and non-traditional lipid parameters on the incidence risk of CMM. METHODS This study enrolled 7,597 eligible participants from the China health and retirement longitudinal study (CHARLS). Cox proportional hazards models were used to perform adjusted regression analyses and mediation analyses, with Kaplan-Meier analysis used for cumulative hazards. Restricted cubic splines were utilized to evaluate the nonlinear relationship between non-traditional lipid parameters and the risk of CMM among participants with AO. Subgroup analyses were conducted with stratification by age, gender, BMI, smoking status, drinking status, and hypertension to investigate interaction effects across different populations. Additionally, sensitivity analyses were further performed to evaluate the impact of various subgroups on diabetes, heart disease, and stroke. RESULTS During the 7-year follow-up period, a total of 699 participants (9.20%) were newly diagnosed with CMM. Kaplan-Meier curves revealed that the subgroup with both AO and high levels of non-traditional lipid parameters had the highest cumulative hazard for developing CMM. In the fully adjusted model, Cox regression analysis revealed that participants with both high levels of non-traditional lipid parameters and AO exhibited the highest risk of developing CMM. Subgroup and sensitivity analyses further confirmed the robustness of these findings, showing consistent results across different demographic groups and under various analytical conditions. Furthermore, AO was found to significantly mediated the associations between non-traditional lipid parameters and the risk of developing CMM. CONCLUSION The separate and combined effects of AO and non-traditional lipid parameters were significantly associated with the risk of developing CMM. Notably, AO may induce CMM by partially mediating the effects of serum lipids in human metabolism. The findings highlighted the importance of joint evaluation of AO and non-traditional lipid parameters for primary prevention of CMM.
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Affiliation(s)
- Hurong Lai
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Yansong Tu
- Faculty of Science, University of Melbourne, Grattan Street, Parkville, VIC, 3010, Australia
| | - Caifeng Liao
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Shan Zhang
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Ling He
- Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jian Li
- Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
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Liang X, Huang D, Bi Y, He Y, Mao T, Liu Q, Hu G, Tong J, Chen L, Wang Y, An X, Jiang X, Tahir MF. The impact of folic acid/VB12 deficiency on essential hypertension in children and adolescents: from a nested case-control and a cohort study. J Hum Hypertens 2024; 38:844-850. [PMID: 39266685 DOI: 10.1038/s41371-024-00955-w] [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: 03/06/2024] [Revised: 08/29/2024] [Accepted: 09/05/2024] [Indexed: 09/14/2024]
Abstract
To explore the relationship between serum folic acid (FA) or Vitamin B12 (VB12) and elevated BP in children and adolescents. Both a nested case control and a cohort study were designed to explore the relationship between serum folic acid (FA) or Vitamin B12 (VB12) and elevated blood pressure (BP). All the included participants were from primary school. A total of 326 subjects (116:210) in nested case control were from an established cohort. And 270 participants without hypertension at baseline and followed in 2019 in cohort. FA and VB12 levels were lower in the elevated BP group than in the control group, and homocysteine level was higher than that in the control group. In the elevated BP group, overweight/obese children had lower FA than overweight/obese children in the normal BP group. FA was positively correlated with high-density lipoprotein (HDL) and Apo lipoprotein A (APOA), but negatively correlated with triglyceride (TG). FA was significantly correlated with elevated BP in children and adolescents (β = -0.353, P = 0.032), after adjusting VB12, and homocysteine (HCY), and the interaction effect of FA*HCY was significant. Both systolic and diastolic BP levels were statistically lower in the FA high exposure group than in the FA low exposure group in the cohort study. This study found that FA and vitamin B12 deficiency in childhood was correlated with elevated BP levels, which may affect BP by regulating lipid levels, and confirmed the importance of maintaining high levels of FA and vitamin B12 in childhood either by diet or supplementation.
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Affiliation(s)
- Xiaohua Liang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China.
| | - Daochao Huang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Yang Bi
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Yun He
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Taoyu Mao
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
- University of Illinois Chicago, 1200 West Harrison St, Chicago, IL, 60607, USA
| | - Qin Liu
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Guomin Hu
- The Second Department of pediatrics, The First People's Hospital of Nanyang City, Nanyang, Henan, People's Republic of China
| | - Jishuang Tong
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Lan Chen
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Yuwei Wang
- Department of Laboratory Medicine, Laboratory for Diagnosis and Treatment of Infectious Diseases Integrated Traditional Chinese and Western Medicine, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Xizou An
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Xiaoping Jiang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
| | - Muhammad Fahad Tahir
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, Chongqing, 400016, China
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Zhang D, Kou W, Luo S, Chen J, An X, Fang S, Liang X. The effect of ambient temperature on lipid metabolism in children: From a prospective cohort study. ENVIRONMENTAL RESEARCH 2024; 261:119692. [PMID: 39068968 DOI: 10.1016/j.envres.2024.119692] [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: 06/05/2024] [Revised: 07/22/2024] [Accepted: 07/25/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Dyslipidemia is increasingly recognized as an essential risk factor for cardiovascular diseases. However, few studies illustrated the effects of ambient temperature exposure (TE) on lipid levels in children. The study aimed to examine the association between ambient TE and lipid levels in children. METHODS Based on a prospective cohort, a total of 2423 children (with 4466 lipids measure person-time) were collected from 2014 to 2019. The meteorological observation data and adjusted variables were collected. Mixed-effect models and generalized additive mixed model (GAMM) were applied to investigate the association between ambient TE and lipid levels. RESULTS A significant negative association was observed between TE and low-density lipoprotein cholesterol (LDL-C) or total cholesterol (TC) levels both in all children [LDL-C, β(95%CI) = -0.350(-0.434,-0.265), P < 0.001; TC, β(95%CI) = -0.274(-0.389,-0.160), P < 0.001] and by different sex group. However, no significant association was found in low-density lipoprotein cholesterol (HDL-C) or triglycerides (TG) levels. The estimated optimal ambient TEs for LDL-C were 18.273 °C and 18.024 °C for girls and boys, respectively. For TC, the optimal ambient TEs were 17.949 °C and 18.024 °C, respectively. With ambient TE decreased, the risk of dyslipidemia increased for both boys [OR = 0.032(0.006,0.179), P < 0.001] and girls [OR = 0.582(0.576,0.587), P < 0.001]. CONCLUSION This study provided a comprehensive illustration about the associations between ambient TE and lipid levels in different sex and ages from a prospective cohort study. The findings will provide evidence for the government to prevent dyslipidemia in vulnerable children through regulating TE.
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Affiliation(s)
- Di Zhang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Wei Kou
- Department of Pediatric Otolaryngology Head and Neck Surgery, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Shunqing Luo
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Jingyu Chen
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Xizhou An
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Shenying Fang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China.
| | - Xiaohua Liang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
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Liang X, Liu Q, Wu X, Huang K, Qu P, Zhang D, Xiao L, Luo S. The impact of air temperature and humidity on Children's blood pressure mediated by Lipids: A prospective cohort study. ENVIRONMENT INTERNATIONAL 2024; 192:109040. [PMID: 39353212 DOI: 10.1016/j.envint.2024.109040] [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: 07/01/2024] [Revised: 08/29/2024] [Accepted: 09/26/2024] [Indexed: 10/04/2024]
Abstract
OBJECTIVES Few studies illustrate the mechanism between air temperature and blood pressure (BP) in childhood. This study aims to investigate the associations between air temperature, humidity exposure, and BP trajectories in children and adolescents, and explore the potential mediating roles of lipid profiles in these relationships. METHODS This prospective cohort study included 5,971 children with 10,800 person-times measurements at baseline from the Chongqing Health Cohort, with evaluations conducted in 2014-2015 (baseline) and follow-ups in 2016 (urban areas) and 2019 (urban and rural areas). Multilevel mixed-effects models were used to analyse the impacts of air temperature and humidity on BP levels and the incidence of elevated BP, while accounting for potential confounders. Mediation analyses were performed to evaluate the mediating effects of lipid profiles, including low-density lipoprotein (LDL), total cholesterol (TC), and specific lipid species. RESULTS After adjusting for covariates, higher air temperature quartiles were associated with both decreased BP levels and elevated BP risk (RR: 0.83; 95 % CIs: 0.78, 0.89; P = 0.028). Conversely, higher humidity quartiles exhibited a U-shaped relationship with BP levels. Greater variability in air temperature was linked to increase BP levels. The cumulative effects of air temperature exposure on BP were significant from pregnancy to age 10, with females exhibiting larger effects (β:-3.291, 95 % CIs: -4.242,-2.340, P < 0.001). LDL and TC partially mediated the associations between air temperature and BP levels, particularly in males. Specific lipid species, including SM (d21:1), LPC (17:0), and PC (O-36:3), also exhibited significant mediating effects. CONCLUSIONS This study provides novel insights into the intricate interplay between air temperature, humidity, lipid metabolism, and blood pressure regulation in children. Lower average temperatures and extreme humidity levels were associated with increased risks of elevated BP, potentially mediated by lipid profiles. Early interventions targeting air temperature exposure and lipid metabolism could mitigate hypertension risk, promoting improved cardiovascular outcomes in children.
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Affiliation(s)
- Xiaohua Liang
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.
| | - Qin Liu
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Xiaofei Wu
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ping Qu
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Di Zhang
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Lun Xiao
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
| | - Shunqing Luo
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China
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Lin L, Hu X, Liu X, Hu G. Key influences on dysglycemia across Fujian's urban-rural divide. PLoS One 2024; 19:e0308073. [PMID: 39083543 PMCID: PMC11290630 DOI: 10.1371/journal.pone.0308073] [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: 03/29/2024] [Accepted: 07/17/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Screening and treatment of dysglycemia (prediabetes and diabetes) represent significant challenges in advancing the Healthy China initiative. Identifying the crucial factors contributing to dysglycemia in urban-rural areas is essential for the implementation of targeted, precise interventions. METHODS Data for 26,157 adults in Fujian Province, China, were collected using the Social Factors Special Survey Form through a multi-stage random sampling method, wherein 18 variables contributing to dysglycemia were analyzed with logistic regression and the random forest model. OBJECTIVE Investigating urban-rural differences and critical factors in dysglycemia prevalence in Fujian, China, with the simultaneous development of separate predictive models for urban and rural areas. RESULT The detection rate of dysglycemia among adults was 35.26%, with rates of 34.1% in urban areas and 35.8% in rural areas. Common factors influencing dysglycemia included education, age, BMI, hypertension, and dyslipidemia. For rural residents, higher income (OR = 0.80, 95% CI [0.74, 0.87]), average sleep quality (OR = 0.89, 95% CI [0.80, 0.99]), good sleep quality (OR = 0.89, 95% CI [0.80, 1.00]), and high physical activity (PA) (OR = 0.87, 95% CI [0.79, 0.96]) emerged as protective factors. Conversely, a daily sleep duration over 8 hours (OR = 1.46, 95% CI [1.03, 1.28]) and middle income (OR = 1.12, 95% CI [1.03, 1.22]) were specific risk factors. In urban areas, being male (OR = 1.14, 95% CI [1.02, 1.26]), cohabitation (OR = 1.18, 95% CI [1.02, 1.37]), and central obesity (OR = 1.35, 95% CI [1.19, 1.53]) were identified as unique risk factors. Using logistic regression outcomes, a random forest model was developed to predict dysglycemia, achieving accuracies of 75.35% (rural) and 76.95% (urban) with ROC areas of 0.77 (rural) and 0.75 (urban). CONCLUSION This study identifies key factors affecting dysglycemia in urban and rural Fujian residents, including common factors such as education, age, BMI, hypertension, and dyslipidemia. Notably, rural-specific protective factors are higher income and good sleep quality, while urban-specific risk factors include being male and central obesity. These findings support the development of targeted prevention and intervention strategies for dysglycemia, tailored to the unique characteristics of urban and rural populations.
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Affiliation(s)
- LiHan Lin
- College of Physical Education, Huaqiao University, Quanzhou, China
| | - XiangJu Hu
- School of Public Health, Fujian Medical University, Fuzhou, China
- Department for Chronic and Noncommunicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, Fujian, China
| | - XiaoYang Liu
- College of Physical Education, Huaqiao University, Quanzhou, China
| | - GuoPeng Hu
- College of Physical Education, Huaqiao University, Quanzhou, China
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Saprina TV, Bashirova AS, Ivanov VV, Pekov SI, Popov IA, Bashirov SR, Vasilyeva EA, Pavlenko OA, Krinitskii DV, Chen M. Lipidomic markers of obesity and their dynamics after bariatric surgery. BULLETIN OF SIBERIAN MEDICINE 2024; 22:174-187. [DOI: 10.20538/1682-0363-2023-4-174-187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Obesity is considered as a chronic progressive disease, heterogeneous in its etiology and clinical manifestations, and characterized by excess in body fat mass and its deposition in the body. The term “morbid obesity” refers to excessive deposition of adipose tissue with a body mass index (BMI) ≥40 kg / m2 or with a BMI ≥ 35 kg / m2 in the presence of serious complications associated with obesity. Along with obesity, the frequency of type 2 diabetes mellitus and cardiovascular diseases closely associated with it has increased. It results from the progression of metabolic disorders, including insulin resistance, which is inextricably linked with the accumulation of visceral fat and plays a key role in the pathogenesis of obesity-related diseases.The study of lipidomic signatures in obesity and associated conditions is a promising branch of fundamental medicine, which makes it possible to significantly and at a new conceptual level stratify a cohort of obese patients into various phenotypes, including a metabolically healthy and metabolically unhealthy obesity phenotypes. Dynamic changes in the lipidome both in the context of diet, drug treatment, and after various bariatric surgeries are of great interest for developing personalized strategies for the treatment of this disease. Currently available studies and their results suggest that we are only at the very start of studying this promising biomedical field.
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Affiliation(s)
| | | | | | - S. I. Pekov
- Siberian State Medical University;
Skolkovo Institute of Science and Technology;
Moscow Institute of Physics and Technology
| | - I. A. Popov
- Siberian State Medical University;
Moscow Institute of Physics and Technology
| | | | | | | | | | - M. Chen
- Siberian State Medical University
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Qin L, Ren Y, Chen L, Feng Y, Luo S, Zhang P, Zhang W, Liang X. Nuts consumption and hypertension risks in children: a mediating role of circulating lipid metabolites. Clin Exp Hypertens 2023; 45:2243056. [PMID: 37551155 DOI: 10.1080/10641963.2023.2243056] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Although nuts play an important role in preventing cardiovascular disease, the metabolic cues by which nuts regulate blood pressure have not been fully understood.Aims:We conducted a nested case-control study in a prospective cohort study of Southwest China children to explore the potential lipid metabolites related to the relationship between nut dietary and blood pressure. METHODS Forty-three hypertension cases and 53 controls serum samples were obtained for lipidomic data analysis using a liquid chromatography mass spectrometry platform. RESULTS We identified four lipid metabolites that are associated with nut intake by a generalized linear model and logistic regression analysis, including phosphatidylglycerol 43:6 [PG (43:6)], phosphatidylcholine 18:0/20:3 [PC (18:0/20:3)], and two phosphatidylethanolamine (PE) compounds [PE (P-16:0/20:4) and PE (P-22:0/18:2)]. Logistic regression analysis indicated that the levels of PG (43:6) and PE (P-16:0/20:4) were negatively associated with hypertension in children, which might be useful biomarkers for predicting childhood hypertension. Further mediation analysis revealed that PG (43:6) and PC (18:0/20:3) function as mediating variables between nut intake and blood pressure levels. CONCLUSION This study provides scientific evidence that nut consumption induces some beneficial changes in lipid metabolism, which may reduce the risk of hypertension in children.
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Affiliation(s)
- Liu Qin
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Yanling Ren
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Lan Chen
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Ye Feng
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Shunqing Luo
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Ping Zhang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Wei Zhang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Xiaohua Liang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
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Liang XH, Ren YL, Liang XY, Chen JY, Qu P, Tang X. Relationship between quality of life and adolescent glycolipid metabolism disorder: A cohort study. World J Diabetes 2022; 13:566-580. [PMID: 36051423 PMCID: PMC9329843 DOI: 10.4239/wjd.v13.i7.566] [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: 12/20/2021] [Revised: 04/29/2022] [Accepted: 06/20/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The prevalence of glucolipid metabolic disorders (GLMDs) in children and adolescents has a recognized association with cardiovascular diseases and type 2 diabetes mellitus in adulthood. Therefore, it is important to enhance our under-standing of the risk factors for GLMD in childhood and adolescence. AIM To explore the relationship between quality of life (QoL) and adolescent GLMD. METHODS This study included 1956 samples in 2019 from a cohort study established in 2014. The QoL scale and glycolipid indexes were collected during follow-up; other covariates of perinatal factors, physical measures, and socioeconomic indicators were collected and adjusted. A generalized linear regression model and logistic regression model were used to analyse the correlation between QoL and GLMD. RESULTS Higher scores of QoL activity opportunity, learning ability and attitude, attitude towards doing homework, and living convenience domains correlated negatively with insulin and homeostasis model assessment insulin resistance (IR) levels. Psychosocial factors, QoL satisfaction factors, and total QoL scores had significant protective effects on insulin and IR levels. Activity opportunity, learning ability and attitude, attitude towards doing homework domains of QoL, psychosocial factor, and total score of QoL correlated positively with high density lipoprotein. In addition, the attitude towards doing homework domain was a protective factor for dyslipidaemia, IR > 3, and increased fasting blood glucose; four factors, QoL and total QoL score correlated significantly negatively with IR > 3. In subgroup analyses of sex, more domains of QoL correlated with insulin and triglyceride levels, dyslipidaemia, and IR > 3 in females. Poor QoL was associated with an increased prevalence of GLMD, and the effect was more pronounced in males than in females. Measures to improve the QoL of adolescents are essential to reduce rates of GLMD. CONCLUSION Our study revealed that QoL scores mainly correlate negatively with the prevalence of GLMD in adolescents of the healthy population. The independent relationship between QoL and GLMD can be illustrated by adjusting for multiple covariates that may be associated with glycaemic index. In addition, among females, more QoL domains are associated with glycaemic index.
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Affiliation(s)
- Xiao-Hua Liang
- Department of Clinical Epidemiology and Biostatistics, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing 400016, China
| | - Yang-Ling Ren
- Department of Clinical Epidemiology and Biostatistics, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing 400016, China
| | - Xiao-Yue Liang
- Department of Clinical Epidemiology and Biostatistics, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing 400016, China
| | - Jing-Yu Chen
- Ultrasound Department of Children’s Hospital of Chongqing Medical University, Children’s Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Ping Qu
- Department of Clinical Epidemiology and Biostatistics, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing 400016, China
| | - Xian Tang
- Department of Clinical Epidemiology and Biostatistics, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing 400016, China
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