1.Research progress of celastrol on the prevention and treatment of metabolic associated fatty liver disease.
Yun-Chao LIU ; Ying ZHANG ; Shu-Cun QIN ; Jun-Li XUE
Acta Physiologica Sinica 2023;75(5):682-690
Metabolic associated fatty liver disease (MAFLD) is a liver disease with hepatocyte steatosis caused by metabolic disorders, which is closely related to obesity, diabetes, metabolic dysfunction, and other factors. Its pathological process changes from simple steatosis, liver inflammation to non-alcoholic steatohepatitis (NASH), and then leads to liver fibrosis, cirrhosis, and liver cancer. At present, no specific therapeutics are available for treatment of MAFLD targeting its etiology. Celastrol is the main active component of the traditional Chinese medicine Celastrus orbiculatus Thunb. In recent years, it has been found that celastrol shows important medicinal value in regulating lipid metabolism, reducing fat and weight, and protecting liver, and then ameliorates MAFLD. This article reviews the related research progress of celastrol in the prevention and treatment of MAFLD, so as to provide a reference for the comprehensive development and utilization of celastrol.
Humans
;
Non-alcoholic Fatty Liver Disease/metabolism*
;
Liver/pathology*
;
Pentacyclic Triterpenes/metabolism*
;
Obesity
2.Chinese medicine Jiangzhuo mixture regulates glucose and lipid metabolism in obese rats through TLR4/I κB α/NF- κB signaling pathway.
Qiong SU ; Danna JIANG ; Zhao ZHONG ; Kai ZHOU ; Wenbo GONG
Journal of Zhejiang University. Medical sciences 2023;52(5):627-635
OBJECTIVES:
To explore the mechanism of Chinese medicine Jiangzhuo mixture regulating glucose and lipid metabolism in obese rats.
METHODS:
Thirty healthy male SD rats were randomly divided into normal control group, model control group, and Jiangzhuo mixture treatment group, with 10 rats in each group. The rats in the normal control group were fed with normal diet, the obesity model was induced by feeding high-fat diet in the model control group and the Jiangzhuo mixture treatment group, the rats in the treatment group were given with Jiangzhuo mixture 50 g/kg by gavage. After 8 weeks of intervention, the blood glucose (GLU), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) levels were measured in the three groups. Quantitative reverse transcription PCR were used to detect the expression levels of PR domain containing 16 (PRDM16) and uncoupling protein 1 (UCP1) in white and brown adipose tissues of the rats in each group; Western blotting was used to detect the expression of PRDM16 in the white and brown adipose tissue of rats, and Toll-like receptor 4 (TLR4), nuclear factor-κB (NF-κB) and inhibitor of NF-κB alpha (IκBα) in the white adipose tissue; immunohistochemistry was used to detect the expression of UCP1 protein in white and brown adipose tissues.
RESULTS:
Compared with the normal control group, the white fat weight (P<0.01), white fat coefficient (P<0.05) and Lee's coefficient (P<0.01) were significantly increased in the model control group; the contents of GLU, TC, TG and LDL-C were all increased, and the content of TG was significantly increased (P<0.05) in the model control group. The mRNA and protein expression levels of PRDM16 and UCP1 in white fat and brown fat were significantly decreased (P<0.05) in the model control group. Compared with the model control group, the white fat weight and white fat coefficient and Lee's coefficient were significantly reduced in the Jiangzhuo mixture treatment group (all P<0.01), the levels of GLU, TC, TG, and LDL-C in the the treatment group were all reduced, and the content of TG was reduced more obviously (P<0.01); expression levels of PRDM16 and UCP1 mRNA and protein were increased in brown and white adipose tissue. Compared with the normal control group, the expression levels of TLR4, phospho-IκBα and NF-κB-p65 proteins in white adipose tissue of the model control group were significantly increased (all P<0.01), while the expression levels of these proteins in the treatment group were significantly lower than those in the model control group (all P<0.05).
CONCLUSIONS
Jiangzhuo mixture can alleviate high-fat diet-induced increase in body fat, abnormal expression of biochemical indexes and promote the expression of key proteins including UCP1 and PRDM16 in white and brown adipose tissues by regulating TLR4/IκBα/NF-κB signaling pathway.
Rats
;
Male
;
Animals
;
NF-kappa B/metabolism*
;
Rats, Sprague-Dawley
;
Glucose
;
Lipid Metabolism
;
Toll-Like Receptor 4
;
Cholesterol, LDL/metabolism*
;
NF-KappaB Inhibitor alpha/metabolism*
;
Medicine, Chinese Traditional
;
Signal Transduction
;
Triglycerides
;
Transcription Factors/metabolism*
;
Obesity
;
RNA, Messenger
3.SBC (Sanhuang Xiexin Tang combined with Baihu Tang plus Cangzhu) alleviates NAFLD by enhancing mitochondrial biogenesis and ameliorating inflammation in obese patients and mice.
Zhitao REN ; Gemin XIAO ; Yixin CHEN ; Linli WANG ; Xiaoxin XIANG ; Yi YANG ; Siying WEN ; Zhiyong XIE ; Wenhui LUO ; Guowei LI ; Wenhua ZHENG ; Xiaoxian QIAN ; Rihan HAI ; Liansheng YANG ; Yanhua ZHU ; Mengyin CAI ; Yinong YE ; Guojun SHI ; Yanming CHEN
Chinese Journal of Natural Medicines (English Ed.) 2023;21(11):830-841
In the context of non-alcoholic fatty liver disease (NAFLD), characterized by dysregulated lipid metabolism in hepatocytes, the quest for safe and effective therapeutics targeting lipid metabolism has gained paramount importance. Sanhuang Xiexin Tang (SXT) and Baihu Tang (BHT) have emerged as prominent candidates for treating metabolic disorders. SXT combined with BHT plus Cangzhu (SBC) has been used clinically for Weihuochisheng obese patients. This retrospective analysis focused on assessing the anti-obesity effects of SBC in Weihuochisheng obese patients. We observed significant reductions in body weight and hepatic lipid content among obese patients following SBC treatment. To gain further insights, we investigated the effects and underlying mechanisms of SBC in HFD-fed mice. The results demonstrated that SBC treatment mitigated body weight gain and hepatic lipid accumulation in HFD-fed mice. Pharmacological network analysis suggested that SBC may affect lipid metabolism, mitochondria, inflammation, and apoptosis-a hypothesis supported by the hepatic transcriptomic analysis in HFD-fed mice treated with SBC. Notably, SBC treatment was associated with enhanced hepatic mitochondrial biogenesis and the inhibition of the c-Jun N-terminal kinase (JNK)/nuclear factor-kappa B (NF-κB) and extracellular signal-regulated kinase (ERK)/NF-κB pathways. In conclusion, SBC treatment alleviates NAFLD in both obese patients and mouse models by improving lipid metabolism, potentially through enhancing mitochondrial biogenesis. These effects, in turn, ameliorate inflammation in hepatocytes.
Humans
;
Mice
;
Animals
;
Non-alcoholic Fatty Liver Disease/metabolism*
;
NF-kappa B/metabolism*
;
Organelle Biogenesis
;
Retrospective Studies
;
Mice, Inbred C57BL
;
Obesity/metabolism*
;
Liver
;
Inflammation/metabolism*
;
Body Weight
;
Lipid Metabolism
;
Lipids
;
Diet, High-Fat/adverse effects*
4.Nonalcoholic fatty liver disease and bilirubin: correlation, mechanism, and therapeutic perspectives.
Nian Chen LIU ; Zhong Ping DUAN ; Su Jun ZHENG
Chinese Journal of Hepatology 2023;31(1):101-104
Non-alcoholic fatty liver disease (NAFLD) is a metabolic-related disorder induced by multiple factors and mainly characterized by excessive fat buildup in hepatocytes. With the consumption of a Western-style diet and obesity prevalence in recent years, the incidence of NAFLD has gradually increased, becoming an increasingly serious public health problem. Bilirubin is a heme metabolite and a potent antioxidant. Studies have demonstrated that bilirubin levels have an inverse correlation with the incidence rate of NAFLD; however, which form of bilirubin plays the main protective role is still controversial. It is considered that the main protective mechanisms for NAFLD are bilirubin antioxidant properties, insulin resistance reduction, and mitochondrial function. This article summarizes the correlation, protective mechanism, and possible clinical application of NAFLD and bilirubin.
Humans
;
Non-alcoholic Fatty Liver Disease/metabolism*
;
Bilirubin
;
Antioxidants
;
Obesity/complications*
;
Hepatocytes/metabolism*
;
Liver/metabolism*
5.Obesity is positively Associated with Depression in Older Adults: Role of Systemic Inflammation.
Ye Xin GUO ; An Qi WANG ; Xin GAO ; Jun NA ; Wei ZHE ; Yi ZENG ; Jing Rui ZHANG ; Yuan Jing JIANG ; Fei YAN ; Mukaram YUNUS ; Hui WANG ; Zhao Xue YIN
Biomedical and Environmental Sciences 2023;36(6):481-489
OBJECTIVE:
We aimed to explore the association between obesity and depression and the role of systemic inflammation in older adults.
METHODS:
Adults ≥ 65 years old ( n = 1,973) were interviewed at baseline in 2018 and 1,459 were followed up in 2021. General and abdominal obesity were assessed, and serum C-reactive protein (CRP) levels were measured at baseline. Depression status was assessed at baseline and at follow-up. Logistic regression was used to analyze the relationship between obesity and the incidence of depression and worsening of depressive symptoms, as well as the relationship between obesity and CRP levels. The associations of CRP levels with the geriatric depression scale, as well as with its three dimensions, were investigated using multiple linear regressions.
RESULTS:
General obesity was associated with worsening depression symptoms and incident depression, with an odds ratio ( OR) [95% confidence interval ( CI)] of 1.53 (1.13-2.12) and 1.80 (1.23-2.63), especially among old male subjects, with OR (95% CI) of 2.12 (1.25-3.58) and 2.24 (1.22-4.11), respectively; however, no significant relationship was observed between abdominal obesity and depression. In addition, general obesity was associated with high levels of CRP, with OR (95% CI) of 2.58 (1.75-3.81), especially in subjects free of depression at baseline, with OR (95% CI) of 3.15 (1.97-5.04), and CRP levels were positively correlated with a score of specific dimension (life satisfaction) of depression, P < 0.05.
CONCLUSION
General obesity, rather than abdominal obesity, was associated with worsening depressive symptoms and incident depression, which can be partly explained by the systemic inflammatory response, and the impact of obesity on depression should be taken more seriously in the older male population.
Humans
;
Male
;
Aged
;
Depression/etiology*
;
C-Reactive Protein/metabolism*
;
Obesity, Abdominal/epidemiology*
;
Longitudinal Studies
;
Inflammation/epidemiology*
;
Obesity/complications*
6.Associations Between Insulin Resistance Indexes and Hyperuricemia in Hypertensive Population.
Fang XIONG ; Chao YU ; Ling-Juan ZHU ; Tao WANG ; Wei ZHOU ; Hui-Hui BAO ; Xiao-Shu CHENG
Acta Academiae Medicinae Sinicae 2023;45(3):390-398
Objective To explore the relationship between insulin resistance (IR) indexes and hyperuricemia (HUA) among the people with hypertension. Methods From July to August in 2018,hypertension screening was carried out in Wuyuan county,Jiangxi province,and the data were collected through questionnaire survey,physical measurement,and biochemical test.Logistic regression was performed to analyze the relationship between HUA and IR indexes including metabolic score for IR (METS-IR),triglyceride-glucose (TyG) index,TyG-body mass index (BMI),TyG-waist circumference (WC),visceral adiposity index (VAI),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and lipid accumulation product (LAP).The penalty spline method was used for the curve fitting between IR indexes and HUA.The area under the receiver operating characteristic curve (AUC) was employed to reveal the correlation between each index and HUA. Results The 14 220 hypertension patients included 6 713 males and 7 507 females,with the average age of (63.8±9.4) years old,the average uric acid level of (418.9±120.6) mmol/L,and the HUA detection rate of 44.4%.The HUA group had higher proportions of males,current drinking,current smoking,diabetes,and using antihypertensive drugs,older age,higher diastolic blood pressure,WC,BMI,homocysteine,total cholesterol,TG,low-density lipoprotein cholesterol,blood urea nitrogen,creatinine,aspartate aminotransferase,alanine aminotransferase,total protein,albumin,total bilirubin,direct bilirubin, METS-IR, TyG, TyG-BMI, TyG-WC, VAI, TG/HDL-C, and LAP, and lower systolic blood pressure and HDL-C than the normal uric acid group (all P<0.05).Multivariate Logistic regression showed that METS-IR (OR=1.049,95%CI=1.038-1.060, P<0.001), TyG (OR=1.639,95%CI=1.496-1.797, P<0.001), TyG-BMI (OR=1.008,95%CI=1.006-1.010, P<0.001), TyG-WC (OR=1.003,95%CI=1.002-1.004, P<0.001), lnVAI (OR=1.850, 95%CI=1.735-1.973, P<0.001), ln(TG/HDL-C) (OR=1.862,95%CI=1.692-2.048, P<0.001),and lnLAP (OR=1.503,95%CI=1.401-1.613,P<0.001) were associated with the risk of HUA.Curve fitting indicated that METS-IR,TyG,TYG-BMI,TYG-WC,lnVAI,ln(TG/HDL-C),and lnLAP were positively correlated with HUA (all P<0.001),and the AUC of TyG index was higher than that of other IR indexes (all P<0.05). Conclusion Increased IR indexes,especially TyG,were associated with the risk of HUA among people with hypertension.
Male
;
Female
;
Humans
;
Middle Aged
;
Aged
;
Insulin Resistance
;
Hyperuricemia
;
Uric Acid
;
Hypertension/complications*
;
Glucose
;
Obesity, Abdominal/epidemiology*
;
Triglycerides
;
Bilirubin
;
Cholesterol
;
Blood Glucose/metabolism*
7.Punicalagin inhibits hepatic lipid deposition in obese mice via AMPK/ACC pathway.
Re-Na JIENSI ; Zhan-Ying CHANG ; Ruo-Hui NIU ; Xiao-Li GAO
China Journal of Chinese Materia Medica 2023;48(7):1751-1759
Hepatic lipid deposition is one of the basic manifestations of obesity, and nowadays pharmacological treatment is the most important tool. Punicalagin(PU), a polyphenol derived from pomegranate peel, is a potential anti-obesity substance. In this study, 60 C57BL/6J mice were randomly divided into a normal group and a model group. After establishing a model of simple obesity with a high-fat diet for 12 weeks, the successfully established rat models of obesity were then regrouped into a model group, an orlistat group, a PU low-dose group, a PU medium-dose group, and a PU high-dose group. The normal group was kept on routine diet and other groups continued to feed the high-fat diet. The body weight and food intake were measured and recorded weekly. After 8 weeks, the levels of the four lipids in the serum of each group of mice were determined by an automatic biochemical instrument. Oral glucose tole-rance and intraperitoneal insulin sensitivity were tested. Hemoxylin-eosin(HE) staining was applied to observe the hepatic and adipose tissues. The mRNA expression levels of peroxisome proliferators-activated receptor γ(PPARγ) and C/EBPα were determined by real-time quantitative polymerase chain reaction(Q-PCR), and the mRNA and protein expression levels of adenosine 5'-monophosphate-activated protein kinase(AMPK), anterior cingulate cortex(ACC), and carnitine palmitoyltransferase 1A(CPT1A) were determined by Western blot. Finally, the body mass, Lee's index, serum total glyceride(TG), serum total cholesterol(TC), and low-density lipoprotein cholesterol(LDL-C) levels were significantly higher and high-density lipoprotein cholesterol(HDL-C) levels were significantly lower in the model group as compared with the normal group. The fat deposition in the liver was significantly increased. The mRNA expression levels of hepatic PPARγ and C/EBPα and the protein expression level of ACC were increased, while the mRNA and protein expression levels of CPT-1α(CPT1A) and AMPK were decreased. After PU treatment, the above indexes of obese mice were reversed. In conclusion, PU can decrease the body weight of obese mice and control their food intake. It also plays a role in the regulation of lipid metabolism and glycometabolism metabolism, which can significantly improve hepatic fat deposition. Mechanistically, PU may regulate liver lipid deposition in obese mice by down-regulating lipid synthesis and up-regulating lipolysis through activation of the AMPK/ACC pathway.
Rats
;
Mice
;
Animals
;
Mice, Obese
;
AMP-Activated Protein Kinases/metabolism*
;
PPAR gamma/metabolism*
;
Mice, Inbred C57BL
;
Liver/metabolism*
;
Obesity/genetics*
;
Body Weight
;
Lipid Metabolism
;
Diet, High-Fat/adverse effects*
;
Lipids
;
Cholesterol
8.Relationship between skeletal muscle mass index and metabolic phenotypes of obesity in adolescents.
Ling-Ling TONG ; Xiao-Yan MA ; Mei TIAN ; Wen-Qing DING
Chinese Journal of Contemporary Pediatrics 2023;25(5):457-462
OBJECTIVES:
To study the relationship between skeletal muscle mass index (SMI) and metabolic phenotypes of obesity in adolescents, and to provide a basis for the prevention and control of adolescent obesity and related metabolic diseases.
METHODS:
A total of 1 352 adolescents aged 12 to 18 years were randomly selected by stratified cluster sampling in Yinchuan City from October 2017 to September 2020, and they were surveyed using questionnaires, physical measurements, body composition measurements, and laboratory tests. According to the diagnostic criteria for metabolic abnormalities and the definition of obesity based on the body mass index, the subjects were divided into four metabolic phenotypes: metabolically healthy normal weight, metabolically healthy obesity, metabolically unhealthy normal weight, and metabolically unhealthy obesity. The association between SMI and the metabolic phenotypes was analyzed using multivariate logistic regression.
RESULTS:
The SMI level in the metabolically unhealthy normal weight, metabolically healthy obesity, and metabolically unhealthy obesity groups was lower than that in the metabolically healthy normal weight group (P<0.001). Multivariate logistic regression analysis showed that after adjusting for gender and age, a higher SMI level was a protective factors for adolescents to develop metabolic unhealthy normal weight, metabolically healthy obesity, and metabolically unhealthy obesity phenotypes (OR=0.74, 0.60, and 0.54, respectively; P<0.001).
CONCLUSIONS
Increasing SMI can reduce the risk of the development of metabolic unhealthy/obesity.
Adolescent
;
Humans
;
Body Mass Index
;
Metabolic Syndrome/metabolism*
;
Muscle, Skeletal/metabolism*
;
Obesity, Metabolically Benign/diagnosis*
;
Pediatric Obesity
;
Phenotype
;
Risk Factors
;
Child
9.Proteome and genome integration analysis of obesity.
Qigang ZHAO ; Baixue HAN ; Qian XU ; Tao WANG ; Chen FANG ; Rui LI ; Lei ZHANG ; Yufang PEI
Chinese Medical Journal 2023;136(8):910-921
The prevalence of obesity has increased worldwide in recent decades. Genetic factors are now known to play a substantial role in the predisposition to obesity and may contribute up to 70% of the risk for obesity. Technological advancements during the last decades have allowed the identification of many hundreds of genetic markers associated with obesity. However, the transformation of current genetic variant-obesity associations into biological knowledge has been proven challenging. Genomics and proteomics are complementary fields, as proteomics extends functional analyses. Integrating genomic and proteomic data can help to bridge a gap in knowledge regarding genetic variant-obesity associations and to identify new drug targets for the treatment of obesity. We provide an overview of the published papers on the integrated analysis of proteomic and genomic data in obesity and summarize four mainstream strategies: overlap, colocalization, Mendelian randomization, and proteome-wide association studies. The integrated analyses identified many obesity-associated proteins, such as leptin, follistatin, and adenylate cyclase 3. Despite great progress, integrative studies focusing on obesity are still limited. There is an increased demand for large prospective cohort studies to identify and validate findings, and further apply these findings to the prevention, intervention, and treatment of obesity. In addition, we also discuss several other potential integration methods.
Humans
;
Proteome/metabolism*
;
Proteomics
;
Prospective Studies
;
Obesity/genetics*
;
Genomics
;
Genome-Wide Association Study
10.Nuclear factor-Y mediates pancreatic β-cell compensation by repressing reactive oxygen species-induced apoptosis under metabolic stress.
Siyuan HE ; Xiaoqian YU ; Daxin CUI ; Yin LIU ; Shanshan YANG ; Hongmei ZHANG ; Wanxin HU ; Zhiguang SU
Chinese Medical Journal 2023;136(8):922-932
BACKGROUND:
Pancreatic β-cells elevate insulin production and secretion through a compensatory mechanism to override insulin resistance under metabolic stress conditions. Deficits in β-cell compensatory capacity result in hyperglycemia and type 2 diabetes (T2D). However, the mechanism in the regulation of β-cell compensative capacity remains elusive. Nuclear factor-Y (NF-Y) is critical for pancreatic islets' homeostasis under physiological conditions, but its role in β-cell compensatory response to insulin resistance in obesity is unclear.
METHODS:
In this study, using obese ( ob/ob ) mice with an absence of NF-Y subunit A (NF-YA) in β-cells ( ob , Nf-ya βKO) as well as rat insulinoma cell line (INS1)-based models, we determined whether NF-Y-mediated apoptosis makes an essential contribution to β-cell compensation upon metabolic stress.
RESULTS:
Obese animals had markedly augmented NF-Y expression in pancreatic islets. Deletion of β-cell Nf-ya in obese mice worsened glucose intolerance and resulted in β-cell dysfunction, which was attributable to augmented β-cell apoptosis and reactive oxygen species (ROS). Furthermore, primary pancreatic islets from Nf-ya βKO mice were sensitive to palmitate-induced β-cell apoptosis due to mitochondrial impairment and the attenuated antioxidant response, which resulted in the aggravation of phosphorylated c-Jun N-terminal kinase (JNK) and cleaved caspase-3. These detrimental effects were completely relieved by ROS scavenger. Ultimately, forced overexpression of NF-Y in INS1 β-cell line could rescue palmitate-induced β-cell apoptosis, dysfunction, and mitochondrial impairment.
CONCLUSION
Pancreatic NF-Y might be an essential regulator of β-cell compensation under metabolic stress.
Rats
;
Mice
;
Animals
;
Reactive Oxygen Species/metabolism*
;
Diabetes Mellitus, Type 2/metabolism*
;
Insulin Resistance
;
Insulin
;
Insulin-Secreting Cells/metabolism*
;
Apoptosis
;
Stress, Physiological
;
Transcription Factors/metabolism*
;
Palmitates/pharmacology*
;
Obesity/metabolism*

Result Analysis
Print
Save
E-mail