1.Association between cardiovascular-kidney-metabolic health metrics and long-term cardiovascular risk: Findings from the Chinese Multi-provincial Cohort Study.
Ziyu WANG ; Xuan DENG ; Zhao YANG ; Jiangtao LI ; Pan ZHOU ; Wenlang ZHAO ; Yongchen HAO ; Qiuju DENG ; Na YANG ; Lizhen HAN ; Yue QI ; Jing LIU
Chinese Medical Journal 2025;138(17):2139-2147
BACKGROUND:
The American Heart Association (AHA) introduced the concept of cardiovascular-kidney-metabolic (CKM) health and stage, reflecting the interaction among metabolism, chronic kidney disease (CKD), and the cardiovascular system. However, the association between CKM stage and the long-term risk of cardiovascular disease (CVD) has not been validated. This study aimed to evaluate the long-term CVD risk associated with CKM health metrics and CKM stage using data from a population-based cohort study.
METHODS:
In total, 5293 CVD-free participants were followed up to around 13 years in the Chinese Multi-provincial Cohort Study (CMCS). Considering the pathophysiologic progression of CKM health metrics abnormalities (comprising obesity, central adiposity, prediabetes, diabetes, hypertriglyceridemia, CKD, and metabolic syndrome), participants were divided into CKM stages 0, 1, and 2. The time-dependent Cox regression models were used to estimate the cardiovascular risk associated with CKM health metrics and stage. Additionally, broader CVD outcomes were examined, with a specific assessment of the impact of stage 3 in 2581 participants from the CMCS-Beijing subcohort.
RESULTS:
Among participants, 91.2% (4825/5293) had at least one abnormal CKM health metric, 8.8% (468/5293), 13.3% (704/5293), and 77.9% (4121/5293) were in CKM stages 0, 1, and 2, respectively; and 710 incident CVD cases occurred during a median follow-up time of 13.3 years (interquartile range: 12.1 to 13.6 years). Participants with each poor CKM health metric exhibited significantly higher CVD risk. Compared with stage 0, the hazard ratio (HR) (95% confidence interval [CI]) for CVD incidence was 1.31 (0.84-2.04) in stage 1 and 2.27 (1.57-3.28) in stage 2. Significant interactive impacts existed between CKM stage and age or sex, with higher CVD risk related to increased CKM stages in participants aged <60 years or females.
CONCLUSION
These findings highlight the contribution of CKM health metrics and CKM stage to the long-term risk of CVD, suggesting the importance of multi-component recognition and management of poor CKM health in CVD prevention.
Humans
;
Female
;
Male
;
Cardiovascular Diseases/etiology*
;
Middle Aged
;
Adult
;
Cohort Studies
;
Renal Insufficiency, Chronic/metabolism*
;
Aged
;
Risk Factors
;
Metabolic Syndrome/metabolism*
;
China
;
East Asian People
2.Association between blood glucose indicators and metabolic diseases in the Chinese population: A national cross-sectional study.
Lijun TIAN ; Cihang LU ; Di TENG ; Weiping TENG
Chinese Medical Journal 2025;138(17):2159-2169
BACKGROUND:
Studies on the impact of blood glucose indicators on metabolism remain relatively scarce. The aim of this study was to investigate the associations between blood glucose indicators and metabolic disorders in China.
METHODS:
Data were from the Thyroid disorders, Iodine status and Diabetes Epidemiological survey (TIDE survey), which randomly selected 31 cities from 31 provinces in the Chinese mainland. A total of 68,383 participants without preexisting diabetes and have complete data on blood glucose, lipids, and blood pressure were included in the analysis. The diabetic population was divided into seven groups based on different types of elevated blood glucose levels, including fasting plasma glucose (FPG), postprandial glucose (PPG), and hemoglobin A1c (HbA1c): FPG ≥7 mmol/L; PPG ≥11.1 mmol/L; HbA1c ≥6.5%; FPG ≥7 mmol/L and PPG ≥11.1 mmol/L; FPG ≥7 mmol/L and HbA1c ≥6.5%; PPG ≥11.1 mmol/L and HbA1c ≥6.5%; FPG ≥7 mmol/L, PPG ≥11.1 mmol/L, and HbA1c ≥6.5%. The effects of each blood glucose indicator on metabolism were investigated separately. Weighted calculation was applied during the analysis, with the weighting coefficient based on the number of people corresponding to the population characteristics of each sample in the 2010 Chinese Census. A logistic regression model with restricted cubic splines (RCS) was employed to characterize the nonlinear associations of age and body mass index (BMI) with the risk of diabetes subtypes defined by distinct blood glucose indicators elevations, as well as the relationships between different blood glucose indicators (FPG, PPG, HbA1c) and the risk of metabolic disorders such as hypertension, hypertriglyceridemia, hypercholesterolemia, high low-density lipoprotein cholesterol (high LDL-C) and low high-density lipoprotein cholesterol (low HDL-C).
RESULTS:
Among individuals with diabetes, elevated PPG alone was the most common abnormality, affecting 26.96% (1382/5127) of the population. Among the seven groups with only one elevated blood glucose indicator, individuals with elevated PPG alone exhibited the highest mean levels of triglycerides (TG) at 2.11 mmol/L (95% confidence interval [CI]: 1.97-2.25 mmol/L, P = 0.004), total cholesterol (TC) at 5.26 mmol/L (95% CI: 5.18-5.33 mmol/L, P <0.001), and low-density lipoprotein cholesterol (LDL-C) at 3.12 mmol/L, (95% CI: 3.06-3.19 mmol/L, P = 0.001). Individuals with elevated PPG alone showed a high prevalence of hypertension (806/1382, 58.32%), hypertriglyceridemia (676/1382, 48.91%), hypercholesterolemia (694/1382, 50.22%), High LDL-C (525/1382, 37.94%), and Low HDL-C (364/1382, 26.34%). The association of age and BMI with the risk of diabetes revealed that the older the patient, the steeper the RCS curve for the odds ratio (OR) of diabetes with elevated PPG alone (age = 60, OR = 2.79, 95% CI [2.49-3.12], P <0.01). Similarly, as BMI increased, the RCS curve for the OR of diabetes with elevated HbA1c alone also steepened (BMI = 35, OR = 3.75, 95% CI [3.23-4.35], P <0.001). Additionally, the RCS yielded a positive association between blood glucose indicators and metabolic diseases risk. In individuals with diabetes, RCS for both the ORs of metabolic diseases (hypertension, hypertriglyceridemia, hypercholesterolemia, high LDL-C, low HDL-C) and the levels of metabolic indicators (TG, TC, LDL-C, HDL-C) revealed some inflection points within the ranges of FPG 5-6 mmol/L, PPG 6-8 mmol/L, and HbA1c 5.5-6.0%.
CONCLUSIONS
PPG is more closely related to metabolic disorders than FPG and HbA1c in people with diabetes. For patients with diabetes and metabolic disorders, it may be necessary to monitor blood glucose fluctuations within specific ranges (FPG 5-6 mmol/L, PPG 6-8 mmol/L, and HbA1c 5.5-6.0%).
Humans
;
Female
;
Cross-Sectional Studies
;
Male
;
Blood Glucose/metabolism*
;
Middle Aged
;
Glycated Hemoglobin/metabolism*
;
Adult
;
Metabolic Diseases/epidemiology*
;
Aged
;
China
;
Diabetes Mellitus/blood*
;
East Asian People
3.The regulatory effect and mechanism of PGC-1α on mitochondrial function.
Song-Hua NAN ; Chao-Jie PENG ; Ying-Lin CUI
Acta Physiologica Sinica 2025;77(2):300-308
Peroxisome proliferator-activated receptor γ coactivator 1 α (PGC-1α) is a core member of the PGC-1 family and serves as a transcriptional coactivator, playing a crucial regulatory role in various diseases. Mitochondria, the main site of cellular energy metabolism, are essential for maintaining cell growth and function. Their function is regulated by various transcription factors and coactivators. PGC-1α regulates the biogenesis, dynamics, energy metabolism, calcium homeostasis, and autophagy processes of mitochondria by interacting with multiple nuclear transcription factors, thereby exerting significant effects on mitochondrial function. This review explores the biological functions of PGC-1α and its regulatory effects and related mechanisms on mitochondria, providing important information for our in-depth understanding of the role of PGC-1α in cellular metabolism. The potential role of PGC-1α in metabolic diseases, cardiovascular diseases, and neurodegenerative diseases was also discussed, providing a theoretical basis for the development of new treatment strategies.
Humans
;
Mitochondria/metabolism*
;
Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha/physiology*
;
Animals
;
Energy Metabolism/physiology*
;
Neurodegenerative Diseases/physiopathology*
;
Autophagy/physiology*
;
Transcription Factors/physiology*
;
Metabolic Diseases/physiopathology*
;
Cardiovascular Diseases/physiopathology*
4.Local overexpression of miR-429 sponge in subcutaneous white adipose tissue improves obesity and related metabolic disorders.
Liu YAO ; Wen-Jing XIU ; Chen-Ji YE ; Xin-Yu JIA ; Wen-Hui DONG ; Chun-Jiong WANG
Acta Physiologica Sinica 2025;77(3):441-448
Obesity is a worldwide health problem. An imbalance in energy metabolism is an important cause of obesity and related metabolic diseases. Our previous studies showed that inhibition of miR-429 increased the protein level of uncoupling protein 1 (UCP1) in beige adipocytes; however, whether local inhibition of miR-429 in subcutaneous adipose tissue affects diet-induced obesity and related metabolic disorders remains unclear. The aim of this study was to investigate the effect of local overexpression of miR-429 sponge in subcutaneous adipose tissue on obesity and related metabolic disorders. The control adeno-associated virus (AAV) or AAV expressing the miR-429 sponge was injected into mouse inguinal white adipose tissue. Seven days later, the mice were fed a high-fat diet for 10 weeks to induce obesity. The effects of the miR-429 sponge on body weight, adipose tissue weight, plasma glucose and lipid levels, and hepatic lipid content were explored. The results showed that the overexpression of miR-429 sponge in subcutaneous white adipose tissue reduced body weight and fat mass, decreased fasting blood glucose and plasma cholesterol levels, improved glucose tolerance, and alleviated hepatic lipid deposition in mice. Mechanistic investigation showed that the inhibition of miR-429 significantly upregulated the expression of UCP1 in adipocytes and adipose tissue. These results suggest that local inhibition of miR-429 in subcutaneous white adipose tissue ameliorates obesity and related metabolic disorders potentially by upregulating UCP1, and miR-429 is a potential therapeutic target for the treatment of obesity and related metabolic disorders.
Animals
;
MicroRNAs/physiology*
;
Obesity/metabolism*
;
Mice
;
Adipose Tissue, White/metabolism*
;
Metabolic Diseases
;
Subcutaneous Fat/metabolism*
;
Male
;
Uncoupling Protein 1/metabolism*
;
Diet, High-Fat
;
Mice, Inbred C57BL
5.Advances in the function and mechanisms of stearoyl-CoA desaturase 1 in metabolic diseases.
Qin SUN ; Xiao-Rui XING ; Cheng LIU ; Dan-Dan JIA ; Ru WANG
Acta Physiologica Sinica 2025;77(3):545-562
Metabolic diseases characterized by an imbalance in energy homeostasis represent a significant global health challenge. Individuals with metabolic diseases often suffer from complications related to disorders in lipid metabolism, such as obesity and non-alcoholic fatty liver disease (NAFLD). Understanding core genes involved in lipid metabolism can advance strategies for the prevention and treatment of these conditions. Stearoyl-CoA desaturase 1 (SCD1) is a key enzyme in lipid metabolism that converts saturated fatty acids into monounsaturated fatty acids. SCD1 plays a crucial regulatory role in numerous physiological and pathological processes, including energy homeostasis, glycolipid metabolism, autophagy, and inflammation. Abnormal transcription and epigenetic activation of Scd1 contribute to abnormal lipid accumulation by regulating multiple signaling axes, thereby promoting the development of obesity, NAFLD, diabetes, and cancer. This review comprehensively summarizes the key role of SCD1 as a metabolic hub gene in various (patho)physiological contexts. Further it explores potential translational avenues, focusing on the development of novel SCD1 inhibitors across interdisciplinary fields, aiming to provide new insights and approaches for targeting SCD1 in the prevention and treatment of metabolic diseases.
Stearoyl-CoA Desaturase/metabolism*
;
Humans
;
Metabolic Diseases/physiopathology*
;
Lipid Metabolism/physiology*
;
Animals
;
Obesity/enzymology*
;
Non-alcoholic Fatty Liver Disease
6.Research progress on mechanism of traditional Chinese medicine in regulating neutrophil extracellular traps in prevention and treatment of metabolic diseases.
Sai ZHANG ; Ming-Yuan FAN ; Jiu-Shu YUAN ; Qi-Yuan YAO ; Hong-Yan XIE ; Hai-Po YUAN ; Hong GAO
China Journal of Chinese Materia Medica 2025;50(1):78-93
Metabolic diseases have seen a steady increase in incidence in recent years, becoming one of the main causes of sub-health status globally. Neutrophil extracellular traps(NETs) are reticular complexes containing DNA, which trap foreign microorganisms or induce an immune response. Current research indicates that NETs are widely active in various metabolic diseases and can cause severe damage to the body through multiple mechanisms, including promoting blood glucose elevation, damaging vascular endothelial cells, forming vascular embolisms, triggering intense inflammation, and promoting lipid accumulation. Therefore, intervening in NETs is an important approach to treating metabolic diseases. Research has shown a close relationship between the theory of spleen heat-turbid toxin theory and metabolic diseases-NETs mechanism. The basic pathogenesis include the internal accumulation of phlegm-dampness, qi stagnation and blood stasis, internal accumulation of dampness-heat, phlegm and blood stasis, and flourishing toxic heat. Various Chinese herbal medicines with the functions of dispelling dampness, resolving phlegm, promoting blood circulation to remove blood stasis, and clearing heat and toxins, along with their extracts and compound prescriptions, can treat metabolic diseases by regulating NETs and delaying disease progression. This paper systematically outlined the formation mechanisms of NETs, their connection to metabolic diseases, the theoretical basis in TCM, their roles in numerous metabolic diseases, and the current research status of TCM in regulating NETs to prevent and control metabolic diseases, aiming to provide effective reference ideas for developing therapeutic strategies for metabolic diseases.
Humans
;
Extracellular Traps/metabolism*
;
Metabolic Diseases/metabolism*
;
Drugs, Chinese Herbal/therapeutic use*
;
Animals
;
Neutrophils/metabolism*
;
Medicine, Chinese Traditional
7.Research progress on macrophage metabolic reprogramming in ocular diseases.
Yun HE ; Junwen OUYANG ; Qian TAN ; Kai HU
Chinese Journal of Cellular and Molecular Immunology 2025;41(8):744-749
Macrophages are the crucial immune cells integral to host defense and the regulation of homeostasis, exhibiting remarkable plasticity across various tissues. Upon exposure to different stimuli, they can polarize into functional subsets. The reorganization process of cellular metabolism, known as metabolic reprogramming, involves the comprehensive adjustment of intracellular metabolites, enzymes, and metabolic pathways. Recent studies have revealed the critical role of metabolic reprogramming in shaping the phenotypes and functions of macrophages. Metabolism drives and regulates macrophages by generating bioenergy and biosynthetic precursors and by altering metabolites that affect gene expression and signal transduction. This review focuses on the immunomodulatory roles of key enzymes and specific products in major metabolic pathways, such as glucose metabolism, lipid metabolism and amino acid metabolism, in macrophages. Additionally, it will highlight recent advancements in targeting metabolic regulation of macrophages in the context of ocular diseases.
Humans
;
Macrophages/immunology*
;
Animals
;
Eye Diseases/immunology*
;
Lipid Metabolism
;
Glucose/metabolism*
;
Metabolic Networks and Pathways
;
Signal Transduction
;
Metabolic Reprogramming
8.Development of a quality control indicator system for neonatal screening of inherited metabolic diseases in obstetric settings.
Hui LI ; Jin ZHANG ; Dan-Feng CAO
Chinese Journal of Contemporary Pediatrics 2025;27(8):994-1001
OBJECTIVES:
To develop a quality control indicator system for neonatal screening of inherited metabolic diseases in obstetric settings, so as to provide a standardized tool for quality control in clinical neonatal screening of inherited metabolic diseases.
METHODS:
From March to May 2024, a literature review combined with expert clinical experience was conducted to develop a preliminary questionnaire on quality control indicators for neonatal screening of inherited metabolic diseases. The final indicator system was established after two rounds of the Delphi method, and the Analytic Hierarchy Process was used to determine indicator weights.
RESULTS:
Sixteen questionnaires were distributed in each of the two consultation rounds, with a valid response rate of 100% for both. The expert authority coefficients were 0.863 and 0.876, respectively. Kendall's coefficient of concordance for the importance and feasibility of the indicators ranged from 0.091 to 0.125. The final indicator system comprised 3 primary indicators, 8 secondary indicators, and 28 tertiary indicators for neonatal screening of inherited metabolic diseases in obstetric settings.
CONCLUSIONS
The quality control indicator system developed using the Delphi method demonstrates a strong systematic structure, high clinical adaptability, and strong operability, and can be effectively applied to quality control in neonatal screening of inherited metabolic diseases in obstetric settings.
Humans
;
Infant, Newborn
;
Neonatal Screening/standards*
;
Quality Control
;
Metabolism, Inborn Errors/diagnosis*
;
Metabolic Diseases/diagnosis*
;
Delphi Technique
;
Female
;
Quality Indicators, Health Care
;
Pregnancy
9.Research progress on cellular metabolic reprogramming in skin fibrosis.
Shutong QIAN ; Siya DAI ; Chunyi GUO ; Jinghong XU
Journal of Zhejiang University. Medical sciences 2025;54(5):592-601
Skin fibrosis is primarily characterized by excessive fibroblasts proliferation and aberrant extracellular matrix accumulation, leading to pathological conditions such as hypertrophic scars, keloids, and systemic sclerosis. This dynamic and complex process involves intricate interactions among various resident skin cells and inflammatory cells, ultimately resulting in extracellular matrix deposition and even invasive growth. The maintenance of cellular phenotypes and functions relies on dynamic metabolic responses, and cellular signal transduction is closely coupled with metabolic processes. Given that the coupling of cell metabolism and signaling in the skin fibrosis microenvironment plays a critical role in inflammatory responses and fibrotic activation, modulation of these metabolic pathways may offer novel therapeutic strategies for inhibiting or even reversing the progression of skin fibrosis. This review systematically summarizes the metabolic characteristics of various cell types involved in skin fibrosis, with a focus on core metabolic reprogramming mechanisms such as hyperactive glycolysis, dysregulated fatty acid metabolism, cellular metabolic dysfunction and dysregulated mTOR/AMPK signaling. Furthermore, potential intervention strategies targeting these metabolic pathways are explored, thereby providing new research perspectives for the treatment of skin fibrosis.
Humans
;
Fibrosis/metabolism*
;
Skin/metabolism*
;
Signal Transduction
;
Fibroblasts/pathology*
;
TOR Serine-Threonine Kinases/metabolism*
;
Skin Diseases/pathology*
;
Cellular Reprogramming
;
Metabolic Reprogramming
10.Mechanisms of pyroptosis in metabolic diseases.
Journal of Central South University(Medical Sciences) 2025;50(8):1465-1474
In recent years, pyroptosis, an inflammatory form of programmed cell death, has gained increasing attention in the field of metabolic disease research. Pyroptosis is closely associated with inflammatory responses. A growing body of evidence suggests that pyroptosis not only plays a critical role in regulating inflammation but can also influence metabolic status, cellular function, and tissue damage through multiple pathways, thereby either exacerbating or alleviating the progression of metabolic diseases. However, the precise molecular mechanisms of pyroptosis and its roles across different metabolic diseases remain unclear, and investigations into related therapeutic targets are still in early stages. Systematically elucidating the mechanisms by which pyroptosis contributes to metabolic diseases and exploring its potential roles in inflammation and pathophysiology may provide new insights and strategies for the prevention and treatment of metabolic disorders, and further promote advances in this research field.
Pyroptosis/physiology*
;
Humans
;
Metabolic Diseases/metabolism*
;
Inflammation/physiopathology*
;
Animals
;
Inflammasomes

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