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find Keyword "Metabolic syndrome" 21 results
  • Effects of heat-inactivated Lactobacillus gasseri TMC0356 on liver lipid metabolism in rats with metabolic syndrome and its possible mechanism

    Objective To explore the effects of heat-inactivated Lactobacillus gasseri TMC0356 on liver lipid metabolism in rats with metabolic syndrome (MS) and its possible mechanism. Methods Sixty male Sprague-Dawley rats were selected. Rats were randomly divided into 5 groups, including control group, MS model group and three TMC0356 test groups (low-, medium- and high-dose groups). The rats in each group were fed with different diets for 7 days, and the liver was dissected and removed after 15 weeks. The mRNA and protein expression levels of peroxisome hyperbioactive receptor-α (PPAR-α), sterol regulatory element binding protein-1c (REBP-1c), fatty acid synthase (FAS) and carnitine lipoacyltransferase-1 (CPT-1) genes in liver were detected. Results There was no significant difference in the mRNA expression of PPAR-α, SREBP-1c or CPT-1 among the five groups (P>0.05). The mRNA expression of FAS in low-dose TMC0356 test group was lower than that in MS model group (P=0.011), medium-dose TMC0356 test group (P=0.042) and high-dose TMC0356 test group (P=0.009). There was no significant difference in the expression of FAS mRNA between other groups (P>0.05). There was no significant difference in the protein expression of PPAR-α, SREBP-1c or FAS among the five groups (P>0.05). The protein expression of CPT-1 in low-dose TMC0356 test group was higher than that in control group (P=0.033) and high-dose TMC0356 test group (P=0.043). There was no significant difference in the protein expression of CPT-1 between the other groups (P>0.05). Conclusion Heat-inactivated Lactobacillus gasseri TMC0356 may improve the symptoms of metabolic disorder in rats by suppressing appetite, improving insulin resistance, and downregulating the expression of key fat metabolism genes such as FAS and SREBP-1c.

    Release date:2022-04-25 03:47 Export PDF Favorites Scan
  • Correlation between Benign Prostatic Hyperplasia and Metabolic Syndrome

    Objective To evaluate the correlation between benign prostatic hyperplasia (BPH) and metabolic syndrome (MS). Methods Total 666 elderly male patients admitted to West China Hospital for routine physical examination in May, 2010 were included in this study. The related laboratory tests of BPH and MS were taken. The correlation among BPH, lower urinary tract Symptoms (LUTS), prostate volume (PV), MS and its component diseases were analyzed. Results Hypertension was an important risk factor for BPH (OR=1.309, 95%CI 1.033 to 1.661), low HDL-C hyperlipidemia was a risk factor for IPSS scored over 7 points (OR=1.573, 95%CI 0.330 to 0.997), and the score of PV was positively correlated to obesity, hypertension, low HDL-C hyperlipidemia and MS (all Plt;0.05). Conclusion For the patient with BPH, MS and its component diseases mainly exert their effects on PV changes rather than LUTS.

    Release date:2016-09-07 10:59 Export PDF Favorites Scan
  • A Systematic Review of Thiazolidinedioes for Metabolic Syndrome

    Objective To evaluate the efficacy and safety of thiazolidinediones for metabolic syndrome.Methods Up through 2007, we searched The Cochrane Library, MEDLINE, EMbase, the China Biological Medicine Database, VIP and CMAC. We also handsearched relevant literature. Randomized controlled trials about usingthiazolidinedioes to treat metabolic syndrome were included. Two reviewers independently extracted the data from the eligible studies and evaluated the quality of the included studies. Meta-analysis was performed for the results ofhomogeneous studies using RevMan 4.2.9 software. Results Ten randomized control trials involving 1,183 patients with metabolic syndrome met the inclusion criteria. Meta-analysis was not carried out because of apparent heterogeneity. Five trials compared rosiglitazone and placebo, which of single study reported CVD events at the end of 9 month follow-up. The results suggested that no significant differences were found between the two groups in occurrence of CVD events (RR=0.50, 95%CI 0.25 to 1.00), such as myocardial infarction and urgent vessel revascularization after coronary stent implantation, in the patients with metabolic syndrome, while rosiglitazone significantly decreased the proportion of metabolic syndrome (RR=4.0, 95%CI 1.63 to 9.82) and HOMA-index (WMD=-0.80, 95%CI -0.90 to -0.70) as compared with placebo. Pioglitazone did not affect TG, significantly decreased HOMA-index (WMD=0.02, 95%CI 0.01 to 0.03), and increased HDL-c (WMD=0.02, 95%CI 0.01 to 0.03), compared with placebo. Pioglitazone plus glimepirde was better than rosiglitazone plus glimepiride in TG and HDL-c improvement, with no significant differences in improving BP, FPG, PPG, HbA1c, and HOMA-index for both treatments. The combination of rosiglitazone with metformin was similar to pioglitazone-metformin combination in improving FPG, PPG, HbA1c and HOMA-index, whereas pioglitazone plus metformin was superior to rosiglitazone plus metformin in improving TG and HDL-c. No differences between rosiglitazone-metformin combination and glimepirde-metformin combination were observed in improving FPG, PPG, and HbA1c, but rosiglitazone plus metformin significantly lowered HOMA-index and SBP/DBP more than glimepirde plus metformin. The results of included trails revealed that rosiglitazone and pioglitazone had no favorable effects on BMI and WC or resulted in weight gain. The adverse drug reactions for thiazolidinediones were mild to moderate, and well tolerated. Conclusion The results suggest that thiazolidinediones produce positive effects on blood glucose level and insulin sensitivity in the absence of favorable obesity effects or resulting in weight gain. Pioglitazone favorably affects HDL-c. Thiazolidinediones show a certain effect on decreasing the proportion of metabolic syndrome, but the therapeutic effect on BP is uncertain. Overall there is insufficient evidence to recommend the use of thiazolidinediones for metabolic syndrome due to low methodological quality, small sample size, and limited number of trials. More high-quality, largescale randomized controlled trials are required.

    Release date:2016-09-07 02:09 Export PDF Favorites Scan
  • Correlation between Metabolic Syndrome and Arterial Stiffness in Elderly People: A Population-based Study in Communities of Northern Shanghai

    ObjectiveTo investigate the association between metabolic syndrome and arterial stiffness in elderly people. Methods1 599 participants aged over 65 years old were recruited from 10 communities located in the northern Shanghai. Carotid-femoral pulse wave velocity (cf-PWV) of each participant was measured by SphygmoCor device. Measurements for the diagnosis of metabolic syndrome were all investigated for each participant. SPSS 20.0 was used for data management and statistical analysis. ResultsCf-PWV was significantly associated with metabolic syndrome and its diagnostic measurements (P<0.001). Moreover, with the accumulating diagnostic measurements, cf-PWV increased gradually and significantly. The increasing trend remained significant in all participants, in men and in women (P<0.001). ConclusionArterial stiffness is significantly associated with metabolic syndrome and the accumulation of its diagnostic measurements.

    Release date:2016-10-26 01:44 Export PDF Favorites Scan
  • Review on Remission of Metabolic Syndrome after Gastric Bypass

    ObjectiveTo explore the effect of gastric bypass (GBP) on metabolic syndrome (MS) and the related mechanisms. MethodsThe literatures addressed the effect of GBP on glucose metabolism and blood pressure were retrospectively analyzed. ResultsIt showed that GBP achieved durable level of blood glucose, remission of dylipidemia and hypertension, however, which occurred before significant weight loss. The changes of many factors such as food intake, gastrointestinal hormones, adipocytokines, fat distribution might be involved in GBP to improve MS. ConclusionGBP seems to achieve the control of MS as a primary and independent effect, rather than secondary to the treatment of overweight.

    Release date:2016-09-08 10:45 Export PDF Favorites Scan
  • Influence of the metabolic syndrome and its components on the condition and prognosis of patients with severe pneumonia

    Objective To explore the effects of Metabolic Syndrome (MS) and its components on the condition and prognosis of patients with Severe Pneumonia. Methods 306 patients with severe pneumonia admitted to the intensive care unit of Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2020 to July 2023 were included as study subjects.The patients were divided into MS and non-MS groups according to whether they were combined with MS,and into survival and death groups according to 28-day prognosis,and the general data, laboratory indexes, condition and prognostic indexes of the two groups were compared; multifactorial logistic regression was used to analyze the independent risk factors for the prognosis of patients with severe pneumonia. ResultsThe levels of test indicators such as body mass index (BMI), fasting blood glucose (FBG), triglyceride (TG), blood lactate,white blood cell count(WBC),urea phosphate (Urea), creatinine (SCr),as well as the incidence of acute respiratory distress syndrome (ARDS), shock,multiple organ dysfunction syndrome (MODS), rate of endotracheal intubation and mortality, ICU treatment cost,and total treatment cost of the MS group were significantly higher than those of the non-MS group; the levels of high-density lipoprotein cholesterol (HDL-C) and oxygenation index (OI) of the MS group were significantly lower than those of the non-MS group (P<0.05).Multifactorial logistic regression analysis showed that the risk of death from severe pneumonia was 1.276 times higher in combined MS than in no combined MS (95%CI: 1.013, 5.114, P=0.047). Subgroup analyses also showed that the risk of death from non-viral severe pneumonia was 2.147 times higher in those with MS than those without (95%CI: 1.175, 8.428, P=0.023). ConclusionSevere pneumonia with MS may be more severe and may have a worse prognosis.

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  • Current status of metabolic syndrome and its influencing factors among physical examination population aged 60 years old and above in Chengdu

    Objective To analyze the current status of metabolic syndrome (MetS) and its influencing factors among physical examination population aged 60 years old and above in Chengdu, and to provide evidence for the screening and management of MetS in people aged 60 years old and above. Methods Retrospective analysis of the data of people aged 60 years old and above who participated in physical examination in the North District of the Department of Health Management of Sichuan Provincial People’s Hospital between January 2018 and December 2020. According to whether the elderly occurred to have MetS, they were divided into MetS group and non-MetS group, to observe the distribution of MetS in different genders and different age groups, and to analyze the influencing factors of MetS by multivariate logistic regression. Results A total of 10 335 elderly were enrolled, 2 769 cases (26.79%) in MetS group and 7 566 cases (73.21%) in non-MetS group. Except for gender and low-density lipoprotein cholesterol (LDL-C) (P>0.05), there were significant differences in other general data between the two groups (P<0.05). There was a statistically significant difference in the detection rate of MetS among different age groups (χ²=64.332, P<0.001). In MetS group, 951 cases (34.34%) of abdominal obesity, 716 cases (25.86%) of high fasting blood glucose (FBG), 1 938 cases (69.99%) of hypertension, 1 011 cases (36.51%) of high triglycerides (TG) and 303 cases (10.94%) of low high-density lipoprotein cholesterol (HDL-C) were detected. Except hypertension and high TG (P>0.05), there were statistically significant differences in the detection rates of abdominal obesity, high FBG and low HDL-C among different genders in MetS (P<0.05). Except hypertension (P<0.05), there was no significant difference in the detection rates of MetS abdominal obesity, high FBG, low HDL-C and high TG in different age groups (P>0.05). Logistic regression analysis showed that body mass index [odds ratio (OR)=1.055, 95% confidence interval (CI) (1.014, 1.097), P=0.008], systolic blood pressure [OR=1.032, 95%CI (1.027, 1.037), P<0.001], diastolic blood pressure [OR=0.992, 95%CI (0.985, 1.000), P=0.049], FBG [OR=1.853, 95%CI (1.764, 1.947), P<0.001], TG [OR=3.787, 95%CI (3.352, 4.278), P<0.001], hemoglobin [OR=0.991, 95%CI (0.986, 0.996), P<0.001], waist circumference [OR=1.158, 95%CI (1.141, 1.175), P<0.001], HDL-C [OR=0.243, 95%CI (0.170, 0.346), P<0.001], total cholesterol [OR=0.615, 95%CI (0.490, 0.773), P<0.001], LDL-C [OR=1.594, 95%CI (1.303, 1.948), P<0.001], and uric acid [OR=1.001, 95%CI (1.000, 1.002), P=0.042] were related to MetS. Conclusions The prevalence of MetS is high among people aged 60 years old and above who undergo physical examination. Routine screening should be carried out during physical examination to take measures to intervene the controllable risk factors, so as to improve the health level of the region.

    Release date:2022-12-23 09:29 Export PDF Favorites Scan
  • Association of metabolic syndrome components with knee osteoarthritis: a Mendelian randomization study

    ObjectiveTo investigate the causal association between metabolic syndrome (MetS) components and osteoarthritis of the knee (KOA) by using Mendelian randomization analysis. MethodsThe genome-wide association study database (GWAS) was mined, in which the exposure factors were MetS components, namely waist circumference (WC) level, triglyceride (TG) level, high-density lipoprotein cholesterol (HDL-C) level, hypertension (HBP), and type 2 diabetes (T2DM), and the outcome factor was KOA. Mendelian randomization analysis was performed using regression models of inverse-variance weighted (IVW), MR-Egger, Simple Mode, Weighted Median, and Weighted Mode methods. ResultsIVW showed a causal relationship between WC level and KOA with a positive correlation (OR=3.088, 95%CI 2.574 to 3.704, P<0.01), and HDL-C level had a causal relationship with KOA with a negative correlation (OR=0.877, 95%CI 0.779 to 0.989, P<0.05). IVW did not show a causal relationship between TG levels, HBP, and T2DM with KOA (P>0.05). The results of the ME-Egger intercept test were not multiplicative (P>0.05), indicating that Mendelian randomization was a valid method for causal inference in this study. ConclusionCentral obesity and low HDL-C disorder are independent risk factors for KOA. The causal relationship between TG level, HBP, and T2DM with KOA is still uncertain.

    Release date:2023-12-16 08:39 Export PDF Favorites Scan
  • Lipid-Modifying Therapy for Metabolic Syndrome: A Systematic Review

    Objective To assess the efficacy and safety of lipid-modifying agents for metabolism syndrome.Methods We searched The Cochrane Library, MEDLINE, EMbase, the China Biological Medicine Database, VIP and CMAC to 2007. We also did some handsearching and additional searching. Randomized controlled trials of lipidmodifying therapy for metabolic syndrome were included. Two reviewers independently extracted data from the eligible studies and evaluated the quality of the included studies. Meta-analyses were performed for the results of homogeneous studies using The Cochrane Collaboration’s RevMan 4.2.9 software. Results A total of 11 studies involving 1 422 patients with metabolic syndrome were included. The results indicated that there was no significant difference in TG between rosuvastatin and atorvastatin. However, rosuvastatin was more effective than atorvastatin on HDL-c improvement. Atorvastatin decreased TG levels greater than simvastatin, but simvastatin was superior to atorvastatin in HDL-c improvement. Two trials comparing fenofibrate with placebo were heterogeneous for some outcomes: one found no significant difference in improvements to HOMA-index, but the other trial indicated that fenofibrate was superior to placebo in improving QUICKI. However, the two trials revealed that fenofibrate favorably affected TG [WMD= – 1.77, 95%CI (– 2.21, – 1.33)] and HDL-c [WMD= 6.62, 95%CI (2.07, 11.17)] compared with placebo. No significant differences among atorvastatin, fenofibrate, alone or in combination, were observed in the proportion of metabolic syndrome reduction [RR=0.99, 95%CI (0.84, 1.16); RR=1.03, 95%CI (0.88, 1.20); RR=1.01, 95%CI (0.87, 1.18)]. Atorvastatin plus fenofibrate was superior to atorvastatin alone in TG and HDL-c improvement. Simvastatin-fenofibrate combination produced greater effectiveness in improving of HDL-c and TG compared with simvastatin alone. The fenofibrateorlistat combination was similar to fenofibrate in reducing metabolic syndrome [RR=1.15, 95%CI (0.68, 1.95)] and TG improvement, but was more effective than fenofibrate in HOMA-index improvement. This review of the clinical trials shows that the majority of lipid-modulating drugs did not have favorable effects on FPG, BP, BMI and WC. Six studies reported side effects, showing that the side effects for lipid-regulating drugs were mild to moderate, and well tolerated.Conclusion Our results suggest that lipid-regulating drugs in general exhibit beneficial effects on TG and HDL-c, but not on blood glucose and central obesity. The therapeutic effects of lipid-regulating drugs on blood pressure and insulin sensitivity are uncertain and have no positive effects on FPG, BMI and WC. There is insufficient evidence in this review to recommend the use of lipid-modifying drugs for metabolic syndrome due to low methodological quality, small ssamplesize and limited number of the trials. More high-quality and large-scale randomized controlled trials are required.

    Release date:2016-09-07 02:09 Export PDF Favorites Scan
  • Lipid-modifying Therapy for Metabolic Syndrome: A Systematic Review

    Objective To evaluate the efficacy and safety of metformin for metabolic syndrome. Methods We searched The Cochrane Library, MEDLINE, EMBASE, China Biological Medicine Database, VIP, and CMAC up to the year of 2007. Handsearches and additional searches were also conducted. Randomized controlled trials of metformin for metabolic syndrome were included. Two reviewers independently extracted data from eligible studies and evaluated the quality of included studies. Meta-analysis was performed for the results of homogeneous studies by The Cochrane Collaboration’s software RevMan 4.2.9. Results Six trials involving a total of 2442 patients with metabolic syndrome were included. Meta-analysis was not performed due to the apparent heterogeneity. Metformin, compared with placebo, exhibited more favorable effects in reducing the proportion of patients with metabolic syndrome (RR 1.27, 95% CI 1.01 to 1.60), the proportion of patients with low HDL-c (RR 1.61, 95%CI 1.16 to 2.23), wide waist circumference (RR 1.64, 95%CI 1.06 to 2.55), and high FPG (RR 1.55, 95%CI 1.17 to 2.05). Metformin was also more effective in improving FPG and insulin sensitivity. The addition of metformin to atenolol plus nitrendipine was superior to atenolol plus nitrendipine alone in reducing the proportion of patients with high TG (RR 5.57, 95%CI 1.56 to 19.84), abdominal obesity (RR 14.47, 95%CI 3.34 to 62.61), and IGT (RR 16.51, 95%CI 6.06 to 45.0). Compared with low-fat diet therapy, metformin was superior in improving FPG, 2-hour postload plasma glucose, and insulin sensitivity. No differences were observed between metformin and acarbose in the reduction of TG and FPG, but metformin was less effective than acarbose in improving 2-hour postload plasma glucose. No adverse drug reactions were reported. Conclusion  Metformin has beneficial effects in reducing the incidence of high FPG, IGT, and abdominal obesity. It also proved beneficial in reducing the prevalence of metabolic syndrome and increasing insulin sensitivity. The therapeutic effects of metformin on blood pressure, obesity, and lipid profile are uncertain. There is insufficient evidence to recommend the use of metformin in the treatment of metabolic syndrome due to low methodological quality, small sample size, and limited number of trials. More high quality, large-scale randomized controlled trials are required.

    Release date:2016-09-07 02:11 Export PDF Favorites Scan
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