Objective To study the latest research progress of the formation mechanism of cholesterol stone disease and forming factors of cholesterol stone disease and to provide new theoretical level and develop a new development direction for guiding clinical application. Methods The related literatures at home and abroad were analyzed, compared and summarized, and the current relevant research dynamic of cholesterol stone disease was sketched. Results The formation of cholesterol gallstone is closely related to the abnormal levels of serum lipids metabolism, bacterial and viral infection, and the expression of genes related to cholesterol gallstone. Conclusions The formation of cholesterol calculus disease is a kind of interaction and intricate disease process involving of environmental factors, genetic factors, and biological factors. Although there has been a lot of blood lipid, protein correlation research with cholesterol stone, there are also many studies such as using gene transplantation and gene knockout, but gene technology of cholesterol stone disease diagnosis and treatment is expected to become the new hot research topic.
Calcific aortic valve disease has been the most common heart valve disorder in western world, accompanying with the increase of morbidity in our country year by year. Several molecules and mechanisms are involved in the progression of aortic valve calcification, which intensify the complexity of this pathological process. It is known that inflammation, a key factor in many diseases, has its own role in the development of aortic valve calcification. It has been demonstrated that inflammation, one of the most important participants in this disorder, which may accelerate the local lesions in aortic valve via promoting the expression of osteogenic differentiation of associated factors or decreasing the level of protective molecules. Dyslipidemia is a traditional risk factor of cardiovascular events. However, it may induce or enhance the inflammatory response whereby facilitates the calcific lesions in aortic valve. Recently, several researches have illustrated that non-coding RNAs, a stimulative factor in the progression of malignant tumor, might play a role in the development of aortic valve calcification. MiRNA and lncRNA, the non-coding RNAs which regulate the expression of genes involved in inflammatory and osteogenic differentiation, are undeniable regulators of aortic valve calcification.
ObjectiveTo study the effects of ATP citrate lyase (ACLY) gene on proliferation, apoptosis, invasion, and lipid metabolism of colon cancer cells.MethodsColon cancer cells HCT116 were transfected with lentiviral knockdown ACLY gene in vitro and divided into three groups according to cell treatment: HCT116 cells with ACLY gene knockdown as knockdown group, empty vector transfected cells as negative control group, and untreated colon cancer HCT116 cells as blank control group. After the stable new cell line was screened with puromycin, the expression of ACLY protein was detected by Western blot method, the lipid production of cells was detected by triglyceride test kit, the proliferation ability of cells was detected by CCK-8 method, the apoptosis rate was detected by flow cytometry, and the migration ability of cells was detected by cell scratch test.ResultsThe cell survival rate of the knockdown group was lower than those of the blank control group and the negative control group at 120 h, but there was no significant difference among the three groups at 24 h and 48 h. Compared with the negative control group and the blank control group, the apoptosis rate in the knockdown group increased, the 24 h migration ability and the level of intracellular triglyceride decreased.ConclusionACLY gene knockdown can inhibit the proliferation, apoptosis, and migration of colon cancer cells, and its mechanism may be related to the decrease of lipid synthesis ability of colon cancer cells.
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. The metabolic changes of atrial myocytes, especially lipid metabolism, have a significant impact on the electrical signals and structural remodeling of atrial tissue, and play an important role in the occurrence and development of AF. The reduction of fatty acid oxidation ratio and increased aerobic glycolysis ratio are characteristic changes of tissue metabolic remodeling in AF. In this review, we will introduce the latest research status of lipid metabolism in AF from aspects of AF metabolism, clinical treatment and diagnosis and prognosis.
ObjectiveTo explore the metabolic changes during the differentiation of 3T3-L1 adipocytes caused by the treatment of the transient receptor potential vanilloid 4 (TRPV4)-specific agonist GSK1016790A basing on ultra-performance liquid chromatography-mass spectrometry technology. MethodsMouse 3T3-L1 cells were treated with GSK1016790A at different concentrations (0.1, 1, and 10 μmol/L), and the effect of drugs on cell proliferation was detected by cell counting kit-8 method. A mature adipocyte model was constructed, and GSK1016790A was used to activate TRPV4 channel protein activity and verify the expression levels of TRPV4 and triglycerides. Cell metabolites were collected for metabolomic studies, differential metabolites were screened between groups, and related metabolic pathways were analyzed. Results After GSK1016790A intervened in mature adipocytes, the expression levels of TRPV4 mRNA and triglycerides in cells were significantly upregulated (P<0.05). Metabolomics detection found that GSK1016790A screened a total of 45 differential metabolites such as 2-amino-1,3,4-octadecanetriol, linoleic acid, sphingosine, sphinganine, sn-glycerol-3-phosphate and uridine, mainly involving 13 possible metabolic pathways such as sphingolipid metabolism and biosynthesis of unsaturated fatty acids. Conclusion GSK1016790A may promote adipogenesis in adipocytes by activating TRPV4 channel protein activity, and at the same time participate in regulating metabolic pathways such as the biosynthesis of unsaturated fatty acids pathway and sphingolipid metabolism pathway, affecting lipid metabolism in adipocytes.
Objective To assess the improvement of different resistance training regimens on blood lipid metabolism and insulin resistance in patients with type 2 diabetes mellitus (T2DM). Methods PubMed, ProQuest, Embase, Web of Science, China National Knowledge Infrastructure, Wanfang, and VIP databases were searched to collect randomized controlled trials of resistance training intervention to improve blood lipids and insulin resistance in patients with T2DM. The search time range was from the establishment of the databases to May 2023. Two reviewers assessed the risk of bias of the included studies using the Physiotherapy Evidence Database scale, and performed a network meta-analysis of the extracted data using Stata 16.0 software. Results In the end, 24 articles were included, and a total of 983 participants were enrolled. The result of network meta-analysis showed that high-frequency and moderate-intensity resistance exercise significantly improved the levels of insulin resistance [standardized mean difference=−1.71, 95% confidence interval (CI) (−2.75, −0.67)], triglycerides [weighted mean difference (WMD)=−0.27 mmol/L, 95%CI (−0.51, −0.04) mmol/L], and total cholesterol [WMD=−0.16 mmol/L, 95%CI (−0.20, −0.12) mmol/L], but had no significant effect on improving the level of high-density lipoprotein [WMD=0.05 mmol/L, 95%CI (−0.02, 0.11) mmol/L] or low-density lipoprotein [WMD=−0.20 mmol/L, 95%CI (−0.42, 0.03) mmol/L]. The results of cumulative probability ranking showed that high-frequency and moderate-intensity resistance exercise was the best in improving insulin resistance, triglycerides, high-density lipoprotein and low-density lipoprotein levels. Conclusion Based on current evidence, high-frequency and moderate-intensity resistance exercise may be the best resistance exercise regimen to improve insulin resistance and lipid metabolism in patients with T2DM.
ObjectiveTo systematically review the intervention effects of high-intensity interval training (HIIT) on weight loss and blood lipid metabolism in overweight/obese populations. MethodsThe computer conducted searches in the PubMed, Embase, Cochrane Library, Web of Science, CNKI, and WanFang Data database to collect randomized controlled trials (RCTs) related to HIIT and weight loss, fat reduction, and blood lipid metabolism in overweight/obese populations. The search was conducted from the inception of the databases to March 31, 2023. Two researchers independently conducted literature screening and data extraction. After evaluating the risk of bias of the included studies, a meta-analysis was performed using RevMan 5.4 software. ResultsA total of 19 RCTs, involving 595 overweight/obese participants, were included. The meta-analysis results showed that compared wtih the control group, HIIT interventions effectively reduced body weight (MD=−2.63, 95%CI −4.04 to −1.23, P<0.05), BMI (MD=−1.21, 95%CI −1.95 to −0.48, P<0.05), Fat% (MD=−1.66, 95%CI −2.28 to −1.04, P<0.05), TG (MD=−0.13, 95%CI −0.25 to −0.01, P=0.04), HDL (MD=0.14, 95%CI 0.05 to 0.23, P<0.05), and LDL (MD=−0.26, 95%CI −0.39 to −0.13, P<0.05) levels but did not improve TC (MD=−0.15, 95%CI −0.36 to 0.06, P=0.15) levels. ConclusionHIIT intervention can effectively improve body weight, BMI, Fat%, TG, HDL, and LDL levels in overweight/obese populations, particularly showing a more pronounced improvement in lipid profiles among overweight/obese adolescents, but it does not reduce TC levels. This study demonstrates that HIIT may be an effective strategy to assist in weight loss and prevent cardiovascular diseases in overweight/obese populations, with potential for broader application.
ObjectiveTo investigate the association of lipid metabolism and other markers with microvascular invasion in hepatocellular carcinoma (HCC) and to develop a preoperative prediction model from it. MethodsData from 389 HCC patients who underwent hepatectomy at First Hospital of Lanzhou University between January 2017 and March 2023 were retrospectively analyzed. These patients were divided into training group (n=272) and validation group (n=117) with a ratio of 7 : 3. The independent risk factors of microvascular invasion (MVI) were determined by univariate and multivariate logistic regression analysis, and the MVI prediction model was established. The prediction efficiency of the model was verified by the analysis of calibration curve, receiver operating characteristic (ROC) curve and decision curve. ResultsUnivariate and multivariate logistic regression analysis showed that the risk factors independently related to MVI before operation included total cholesterol, lactate dehydrogenase, body mass index, alpha-fetoprotein, carbohydrate antigen 125, hepatitis B DNA, maximum tumor diameter and albumin-bilirubin score. MVI prediction model was established based on the above eight risk factors, and its area under ROC curve in the training group and the validation group were 0.79 [95%CI (0.74, 0.84)] and 0.75 [95%CI (0.66, 0.84)] respectively. Calibration curve analysis showed that the prediction curve fitted well with the standard curve. ROC curve analysis showed that the MVI prediction model was efficient. Decision curve analysis confirmed that the MVI prediction model had significant clinical applications. ConclusionThis study identified independent correlations between total cholesterol levels, among other things, and MVI, and successfully developed and validated novel predictive model based on these indicators that can help physicians effectively identify individuals at high risk for MVI in patients with hepatocellular carcinoma preoperatively, leading to more rational treatment choices.