1.Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups.
Hiroe SETO ; Hiroshi TOKI ; Shuji KITORA ; Asuka OYAMA ; Ryohei YAMAMOTO
Environmental Health and Preventive Medicine 2024;29():2-2
		                        		
		                        			BACKGROUND:
		                        			It is crucial to understand the seasonal variation of Metabolic Syndrome (MetS) for the detection and management of MetS. Previous studies have demonstrated the seasonal variations in MetS prevalence and its markers, but their methods are not robust. To clarify the concrete seasonal variations in the MetS prevalence and its markers, we utilized a powerful method called Seasonal Trend Decomposition Procedure based on LOESS (STL) and a big dataset of health checkups.
		                        		
		                        			METHODS:
		                        			A total of 1,819,214 records of health checkups (759,839 records for men and 1,059,375 records for women) between April 2012 and December 2017 were included in this study. We examined the seasonal variations in the MetS prevalence and its markers using 5 years and 9 months health checkup data and STL analysis. MetS markers consisted of waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG).
		                        		
		                        			RESULTS:
		                        			We found that the MetS prevalence was high in winter and somewhat high in August. Among men, MetS prevalence was 2.64 ± 0.42 (mean ± SD) % higher in the highest month (January) than in the lowest month (June). Among women, MetS prevalence was 0.53 ± 0.24% higher in the highest month (January) than in the lowest month (June). Additionally, SBP, DBP, and HDL-C exhibited simple variations, being higher in winter and lower in summer, while WC, TG, and FPG displayed more complex variations.
		                        		
		                        			CONCLUSIONS
		                        			This finding, complex seasonal variations of MetS prevalence, WC, TG, and FPG, could not be derived from previous studies using just the mean values in spring, summer, autumn and winter or the cosinor analysis. More attention should be paid to factors affecting seasonal variations of central obesity, dyslipidemia and insulin resistance.
		                        		
		                        		
		                        		
		                        			Male
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Metabolic Syndrome/epidemiology*
		                        			;
		                        		
		                        			Seasons
		                        			;
		                        		
		                        			Prevalence
		                        			;
		                        		
		                        			Climate
		                        			;
		                        		
		                        			Insulin Resistance
		                        			;
		                        		
		                        			Triglycerides
		                        			
		                        		
		                        	
2.Diosgenin alleviates NAFLD induced by a high-fat diet in rats via mTOR/SREBP-1c/HSP60/MCAD/SCAD signaling pathway.
Su-Wen CHEN ; Guo-Liang YIN ; Chao-Yuan SONG ; De-Cheng MENG ; Wen-Fei YU ; Xin ZHANG ; Ya-Nan FENG ; Peng-Peng LIANG ; Feng-Xia ZHANG
China Journal of Chinese Materia Medica 2023;48(19):5304-5314
		                        		
		                        			
		                        			This study aims to observe the effects of diosgenin on the expression of mammalian target of rapamycin(mTOR), sterol regulatory element-binding protein-1c(SREBP-1c), heat shock protein 60(HSP60), medium-chain acyl-CoA dehydrogenase(MCAD), and short-chain acyl-CoA dehydrogenase(SCAD) in the liver tissue of the rat model of non-alcoholic fatty liver disease(NAFLD) and explore the mechanism of diosgenin in alleviating NAFLD. Forty male SD rats were randomized into five groups: a control group, a model group, low-(150 mg·kg~(-1)·d~(-1)) and high-dose(300 mg·kg~(-1)·d~(-1)) diosgenin groups, and a simvastatin(4 mg·kg~(-1)·d~(-1)) group. The rats in the control group were fed with a normal diet, while those in the other four groups were fed with a high-fat diet. After feeding for 8 weeks, the body weight of rats in the high-fat diet groups increased significantly. After that, the rats were administrated with the corresponding dose of diosgenin or simvastatin by gavage every day for 8 weeks. The levels of triglyceride(TG), total cholesterol(TC), alanine transaminase(ALT), and aspartate transaminase(AST) in the serum were determined by the biochemical method. The levels of TG and TC in the liver were measured by the enzyme method. Oil-red O staining was employed to detect the lipid accumulation, and hematoxylin-eosin(HE) staining to detect the pathological changes in the liver tissue. The mRNA and protein levels of mTOR, SREBP-1c, HSP60, MCAD, and SCAD in the liver tissue of rats were determined by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR) and Western blot, respectively. Compared with the control group, the model group showed increased body weight, food uptake, liver index, TG, TC, ALT, and AST levels in the serum, TG and TC levels in the liver, lipid deposition in the liver, obvious hepatic steatosis, up-regulated mRNA and protein expression levels of mTOR and SREBP-1c, and down-regulated mRNA and protein expression levels of HSP60, MCAD, and SCAD. Compared with the model group, the rats in each treatment group showed obviously decreased body weight, food uptake, liver index, TG, TC, ALT, and AST levels in the serum, TG and TC levels in the liver, lessened lipid deposition in the liver, ameliorated hepatic steatosis, down-regulated mRNA and protein le-vels of mTOR and SREBP-1c, and up-regulated mRNA and protein levels of HSP60, MCAD, and SCAD. The high-dose diosgenin outperformed the low-dose diosgenin and simvastatin. Diosgenin may prevent and treat NAFLD by inhibiting the expression of mTOR and SREBP-1c and promoting the expression of HSP60, MCAD, and SCAD to reduce lipid synthesis, improving mitochondrial function, and promoting fatty acid β oxidation in the liver.
		                        		
		                        		
		                        		
		                        			Rats
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Non-alcoholic Fatty Liver Disease/genetics*
		                        			;
		                        		
		                        			Sterol Regulatory Element Binding Protein 1/metabolism*
		                        			;
		                        		
		                        			Diet, High-Fat/adverse effects*
		                        			;
		                        		
		                        			Diosgenin/metabolism*
		                        			;
		                        		
		                        			Chaperonin 60/therapeutic use*
		                        			;
		                        		
		                        			Rats, Sprague-Dawley
		                        			;
		                        		
		                        			Liver
		                        			;
		                        		
		                        			Signal Transduction
		                        			;
		                        		
		                        			TOR Serine-Threonine Kinases/metabolism*
		                        			;
		                        		
		                        			Triglycerides
		                        			;
		                        		
		                        			RNA, Messenger/metabolism*
		                        			;
		                        		
		                        			Simvastatin/therapeutic use*
		                        			;
		                        		
		                        			Body Weight
		                        			;
		                        		
		                        			Lipid Metabolism
		                        			;
		                        		
		                        			Mammals/metabolism*
		                        			
		                        		
		                        	
3.Geographic Variations in the Prevalence, Awareness, Treatment, and Control of Dyslipidemia among Chinese Adults in 2018-2019: A Cross-sectional Study.
Mei ZHANG ; Ke PENG ; Xiao ZHANG ; Yi Shu LIU ; Xiao Ying LIU ; Gui Yuan HAN ; Yu SHI ; Zheng Jing HUANG ; Chun LI ; Zhen Ping ZHAO ; Li Min WANG ; Yi Chong LI
Biomedical and Environmental Sciences 2023;36(4):313-323
		                        		
		                        			OBJECTIVE:
		                        			To investigate the spatial patterns of the prevalence, awareness, treatment, and control rates of dyslipidemia at the provincial level in China.
		                        		
		                        			METHODS:
		                        			A national and provincial representative cross-sectional survey was conducted among 178,558 Chinese adults in 31 provinces in mainland China in 2018-2019, using a multi-stage, stratified, cluster-randomized sampling design. Subjects, as households, were selected, followed by a home visit to collect information. Both descriptive and linear regression procedures were applied in the analyses.
		                        		
		                        			RESULTS:
		                        			The overall prevalence of dyslipidemia was 35.6%, and wide geographic variations of prevalence, treatment, and control rates of dyslipidemia were identified among 178,558 eligible participants with a mean age of 55.1 ± 13.8 years. The highest-lowest difference regarding the provincial level prevalence rates were 19.7% vs. 2.1% for high low-density lipoprotein cholesterol, 16.7% vs. 2.5% for high total cholesterol, 35.9% vs. 5.4% for high triglycerides, and 31.4% vs. 10.5% for low high-density lipoprotein cholesterol. The treatment rate of dyslipidemia was correlated with the socio-demographic index ( P < 0.001), urbanization rate ( P = 0.01), and affordable basic technologies and essential medicines ( P < 0.001).
		                        		
		                        			CONCLUSION
		                        			Prevailing dyslipidemia among the Chinese population and its wide geographic variations in prevalence, treatment, and control suggest that China needs both integrated and localized public health strategies across provinces to improve lipid management.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Cross-Sectional Studies
		                        			;
		                        		
		                        			Prevalence
		                        			;
		                        		
		                        			East Asian People
		                        			;
		                        		
		                        			Dyslipidemias/prevention & control*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Cholesterol, HDL
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Triglycerides
		                        			
		                        		
		                        	
4.Predictive Effects of Different Insulin Resistance Indexes on Diabetes Risk in Hypertensive Population.
Tao WANG ; Chao YU ; Guo-Tao YU ; Wei ZHOU ; Ling-Juan ZHU ; Xiao HUANG ; Hui-Hui BAO ; Xiao-Shu CHENG
Acta Academiae Medicinae Sinicae 2023;45(2):206-212
		                        		
		                        			
		                        			Objective To explore the roles of different insulin resistance indexes[triglyceride-glucose (TyG),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and metabolic score for insulin resistance (METS-IR)]and combinations of two indexes in predicting diabetes risk in hypertensive population. Methods The survey of hypertension was conducted for the residents in Wuyuan county,Jiangxi province from March to August in 2018.The basic information of hypertensive residents was collected by interview.Blood was drawn on an empty stomach in the morning and physical measurements were carried out.Logistic regression model was employed to analyze the relationship between different insulin resistance indexes and diabetes,and the area under the receiver operating characteristic curve was used for evaluating the predictive effects of each index on diabetes risk. Results A total of 14 222 hypertensive patients with an average age of (63.8±9.4) years old were included in this study,including 2616 diabetic patients.The diabetic hypertensive population had higher TyG (t=50.323,P<0.001),TG/HDL-C (Z=17.325,P<0.001),and METS-IR (t=28.839,P<0.001) than the non-diabetic hypertensive population.Multivariate analysis showed that each insulin resistance index was positively correlated with diabetes risk.The area under curve of each insulin index was in a descending order of TyG (0.770)> METS-IR (0.673)> TG/HDL-C (0.620).The difference in the area under curve between two indexes was statistically significant[TyG vs.TG/HDL-C (Z=42.325,P<0.001);TyG vs.METS-IR(Z=17.517,P<0.001);METS-IR vs.TG/HDL-C (Z=10.502,P<0.001)]. Conclusions Elevated insulin resistance indexes can increase the risk of diabetes.TyG and the combination of indexes outperform TG/HDL-C and METS-IR in the prediction of diabetes.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Insulin Resistance
		                        			;
		                        		
		                        			Blood Glucose/metabolism*
		                        			;
		                        		
		                        			Biomarkers
		                        			;
		                        		
		                        			Diabetes Mellitus
		                        			;
		                        		
		                        			Hypertension
		                        			;
		                        		
		                        			Glucose
		                        			;
		                        		
		                        			Triglycerides
		                        			;
		                        		
		                        			Cholesterol, HDL
		                        			
		                        		
		                        	
5.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*
		                        			
		                        		
		                        	
6.Relationship between atherogenic index of plasma and childhood asthma.
Jia-Qi YAO ; Yu WAN ; Yi-Dong ZHAO ; Jing-Jing GUI ; Wen-Jie MAO ; Zhi-Ying HUANG
Chinese Journal of Contemporary Pediatrics 2023;25(7):739-744
		                        		
		                        			OBJECTIVES:
		                        			To explore the relationship between atherogenic index of plasma (AIP) and childhood asthma.
		                        		
		                        			METHODS:
		                        			This retrospective study included 86 children with asthma admitted to the Changzhou Second People's Hospital Affiliated to Nanjing Medical University from July 2020 to August 2022 as the asthma group and 149 healthy children undergoing physical examination during the same period as the control group. Metabolic parameters including total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and blood glucose, as well as general information of the children such as height, weight, body mass index, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, and feeding history, were collected. Multivariable logistic regression analysis was used to study the relationship between AIP, triglycerides, and high-density lipoprotein cholesterol and asthma. The value of AIP, triglycerides, and high-density lipoprotein cholesterol for predicting asthma was assessed using receiver operating characteristic (ROC) curve analysis.
		                        		
		                        			RESULTS:
		                        			The AIP and triglyceride levels in the asthma group were significantly higher than those in the control group, while high-density lipoprotein cholesterol was significantly lower (P<0.05). However, there was no significant difference in total cholesterol and low-density lipoprotein cholesterol between the two groups (P>0.05). Before and after adjusting for height, weight, presence of specific dermatitis, history of inhalant allergen hypersensitivity, family history of asthma, feeding method, and blood glucose, multivariable logistic regression analysis showed that AIP, triglycerides, and high-density lipoprotein cholesterol were associated with asthma (P<0.05). ROC curve analysis showed that the optimal cutoff value for predicting asthma with AIP was -0.333, with a sensitivity of 80.2%, specificity of 55.0%, positive predictive value of 50.71%, and negative predictive value of 82.85%. The area under the curve (AUC) for AIP in predicting asthma was significantly higher than that for triglycerides (P=0.009), but there was no significant difference in AUC between AIP and high-density lipoprotein cholesterol (P=0.686).
		                        		
		                        			CONCLUSIONS
		                        			AIP, triglycerides, and high-density lipoprotein cholesterol are all associated with asthma. AIP has a higher value for predicting asthma than triglycerides and comparable value to high-density lipoprotein cholesterol.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Blood Glucose
		                        			;
		                        		
		                        			Triglycerides
		                        			;
		                        		
		                        			Cholesterol, HDL
		                        			;
		                        		
		                        			Cholesterol, LDL
		                        			;
		                        		
		                        			Asthma/etiology*
		                        			;
		                        		
		                        			Dermatitis
		                        			;
		                        		
		                        			Risk Factors
		                        			
		                        		
		                        	
7.Lipid nanoparticle delivery of siRNA targeting Cyp2e1 gene attenuates subacute alcoholic liver injury in mice.
Shuang WU ; Qiubing CHEN ; Yalan WANG ; Hao YIN ; Yuan WEI
Journal of Zhejiang University. Medical sciences 2023;52(3):306-317
		                        		
		                        			OBJECTIVES:
		                        			To investigate the effect and mechanism of lipid nanoparticle (LNP) delivery of small interfering RNA (siRNA) targeting Cyp2e1 gene on subacute alcoholic liver injury in mice.
		                        		
		                        			METHODS:
		                        			siRNA targeting Cyp2e1 gene was encapsulated in LNP (si-Cyp2e1 LNP) by microfluidic technique and the resulting LNPs were characterized. The optimal dose of si-Cyp2e1 LNP administration was screened. Forty female C57BL/6N mice were randomly divided into blank control group, model control group, si-Cyp2e1 LNP group, LNP control group and metadoxine group. The subacute alcoholic liver injury mouse model was induced by ethanol feeding for 10 d plus ethanol gavage for the last 3 d. Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities, and the superoxide dismutase (SOD) activity as well as malondialdehyde, reactive oxygen species, glutathione, triacylglycerol, total cholesterol contents in liver tissue were measured in each group, and liver index was calculated. The expression of genes related to oxidative stress, lipid synthesis and inflammation in each group of mice were measured by realtime RT-PCR.
		                        		
		                        			RESULTS:
		                        			Compared with the model control group, the levels of liver index, serum ALT, AST activities, malondialdehyde, reactive oxygen species, triacylglycerol, total cholesterol contents in liver tissue decreased, but the SOD activity as well as glutathione increased in the si-Cyp2e1 LNP group (all P<0.01). Hematoxylin-eosin staining result showed disorganized hepatocytes with sparse cytoplasm and a large number of fat vacuoles and necrosis in the model control group, while the si-Cyp2e1 LNP group had uniformly sized and arranged hepatocytes with normal liver tissue morphology and structure. Oil red O staining result showed si-Cyp2e1 LNP group had lower fat content of the liver compared to the model control group (P<0.01), and no fat droplets accumulated. Anti-F4/80 monoclonal antibody fluorescence immunohistochemistry showed that the si-Cyp2e1 LNP group had lower cumulative optical density values compared to the model control group (P<0.01) and no significant inflammatory reaction. Compared with the model control group, the expression of catalytic genes P47phox, P67phox and Gp91phox were reduced (all P<0.01), while the expression of the antioxidant enzyme genes Sod1, Gsh-rd and Gsh-px were increased (all P<0.01). The mRNA expression of the lipid metabolism genes Pgc-1α and Cpt1 were increased (all P<0.01) and the lipid synthesis-related genes Srebp1c, Acc and Fasn were decreased (all P<0.01); the expression of liver inflammation-related genes Tgf-β, Tnf-α and Il-6 were decreased (all P<0.01).
		                        		
		                        			CONCLUSIONS
		                        			The si-Cyp2e1 LNP may attenuate subacute alcoholic liver injury in mice mainly by reducing reactive oxygen levels, increasing antioxidant activity, blocking oxidative stress pathways and reducing ethanol-induced steatosis and inflammation.
		                        		
		                        		
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Mice
		                        			;
		                        		
		                        			Antioxidants/metabolism*
		                        			;
		                        		
		                        			Cholesterol/metabolism*
		                        			;
		                        		
		                        			Ethanol/pharmacology*
		                        			;
		                        		
		                        			Glutathione/pharmacology*
		                        			;
		                        		
		                        			Inflammation
		                        			;
		                        		
		                        			Lipids/pharmacology*
		                        			;
		                        		
		                        			Liver
		                        			;
		                        		
		                        			Malondialdehyde/pharmacology*
		                        			;
		                        		
		                        			Mice, Inbred C57BL
		                        			;
		                        		
		                        			Oxidative Stress
		                        			;
		                        		
		                        			Reactive Oxygen Species/metabolism*
		                        			;
		                        		
		                        			RNA, Small Interfering/pharmacology*
		                        			;
		                        		
		                        			Superoxide Dismutase
		                        			;
		                        		
		                        			Triglycerides/metabolism*
		                        			;
		                        		
		                        			Cytochrome P-450 CYP2E1/metabolism*
		                        			
		                        		
		                        	
8.The role of triglyceride-glucose index in the prediction of the development of hypertension – findings from a community cohort in Singapore
Jonathon Khoo ; Serena Low ; Bastari Irwan ; Justin Tang ; Chee Fang Sum ; Tavintharan Subramaniam ; Su Chi Lim
Journal of the ASEAN Federation of Endocrine Societies 2023;38(1):62-67
		                        		
		                        			Objectives:
		                        			Triglyceride-glucose index (TyGI) is an emerging surrogate marker of insulin resistance. We aim to explore the role of triglyceride-glucose index in the prediction of the development of hypertension.
		                        		
		                        			Methodology:
		                        			nducted a retrospective cohort study that included 3,183 study participants identified from a community health screening programme who had no baseline hypertension and were then followed up after an average of 1.7 years. Cox proportional-hazard model was used to assess the association between risk of incident hypertension and TyGI in quartiles, while adjusting for demographics and clinical characteristics.
		                        		
		                        			Results:
		                        			Hypertension occurred in 363 study participants (11.4%). Those who developed hypertension had higher TyGI [8.6 (IQR 8.2-9.0)] than those who did not [8.2 (IQR 8.0-8.7)] (p<0.001). Significant association between TyGI and hypertension was observed in both the unadjusted and proportional hazard model [Quartile (Q)2, p=0.010; Q3, p<0.001 and Q4, p<0.001] and the model that adjusted for demographics (Q2, p=0.016; Q3, p=0.003; Q4, p<0.001). In the model adjusted for clinical covariates, the hazard of developing hypertension remained higher in TyGI Q4 compared to TyGI Q1(Hazard Ratio=2.57; 95% Confidence Interval: 1.71, 3.87). Increasing triglyceride-glucose index accounted for 16.4% of the association between increasing BMI and incident hypertension, after adjusting for age, gender, ethnicity and baseline HDL cholesterol (p<0.001).
		                        		
		                        			Conclusion
		                        			Triglyceride-glucose index was an independent predictor of the development of hypertension. It may potentially be used as an inexpensive indicator to predict the development of hypertension and risk-stratify individuals to aid management in clinical practice.
		                        		
		                        		
		                        		
		                        			Diabetes Mellitus
		                        			;
		                        		
		                        			 Triglycerides
		                        			;
		                        		
		                        			 Hypertension
		                        			;
		                        		
		                        			 Screening
		                        			
		                        		
		                        	
9.Association between serum lysophosphatidylcholine level and elderly health index in older people from longevity areas of Guangxi Province.
Heng Shuo LIU ; Zhu WU ; Rui Yue YANG ; Guan Zhou CHEN ; Ying LI ; Qi ZHOU ; Hui Ping YUAN ; Ze YANG ; Liang SUN
Chinese Journal of Preventive Medicine 2023;57(5):649-653
		                        		
		                        			
		                        			Objective: To investigate the relationship between serum lysophosphatidylcholine (LPC) level and the health index of the elderly. Methods: A total of 251 subjects were selected from the 2016 baseline survey of the Yongfu Longevity Cohort in Guangxi Province among whom 66, 63 and 122 were in the young and middle-aged group (≤59 years old), the young group (60-89 years old) and the longevity group (≥90 years old), respectively. Demographic data were collected and related indicators of height, weight, blood pressure and lipid metabolism were measured. The cognitive and physical functions of the elderly were assessed by the results of the simple mental state scale and the daily living activity scale to construct the health index of the elderly. The serum levels of LPC16∶0, LPC18∶0, LPC18∶1 and LPC18∶2 were determined by liquid chromatography-tandem mass spectrometry, and the differences among different ages and health status groups were compared. The logistic regression model was used to analyze the relationship between the serum LPC level and the health index of the elderly. Results: With the increase in age, the proportion of female subjects increased, and the rate of smoking and drinking decreased. BMI, TC, TG, LDL-C, diastolic blood pressure, and the four LPCs levels decreased with the increase of age, and systolic blood pressure levels increased with the increase of age (all P values<0.05). There was no significant difference in HDL-C levels among age groups (P>0.05). With the decline of health status in the elderly, serum levels of LPC16∶0, LPC18∶0, LPC18∶1 and LPC18∶2 showed a downward trend (all P values<0.001). After adjusting for age and gender, only LPC18∶0 was associated with the health status in old age [OR (95%CI): 0.48 (0.25-0.92)]. For every 1 standard deviation (16.87 nmol/L) increase in serum LPC18∶0 concentration, the risk of poor health status in old age decreased by 52%. Conclusion: Serum LPC18∶0 was associated with the health status in old age independent of age and sex.
		                        		
		                        		
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Aged, 80 and over
		                        			;
		                        		
		                        			Lysophosphatidylcholines
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			Longevity
		                        			;
		                        		
		                        			Surveys and Questionnaires
		                        			;
		                        		
		                        			Triglycerides
		                        			
		                        		
		                        	
            

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