ObjectiveThis meta-analysis was conducted to estimate the overall prevalence of sarcopenia in older Chinese adults.DesignSystematic review and meta-analysis.ParticipantsA literature research was conducted using the PubMed, Web of Science, China National Knowledge Infrastructure, CQVIP and Wanfang databases. The following search terms in the abstract were used: “sarcopenia” in combination with the terms “prevalence,” “epidemiology” and “China.” All studies published from January 2010 to November 2020 were included. The random-effect model was used to estimate the prevalence of sarcopenia. The sex-specific prevalence of sarcopenia at a 95% CI was also calculated using different criteria for defining sarcopenia.Primary outcome measuresThe overall prevalence of sarcopenia in older Chinese adults.ResultsIn total, 23 articles were included in this meta-analysis involving 21 564 participants. On the basis of the Asian Working Group for Sarcopenia criterion, the overall prevalence of sarcopenia among the elderly in China was 14% (95% CI 11% to 18%); the prevalence was higher in Chinese women than in men (15% vs 14%).ConclusionsThis systematic review is the first estimation of the pooled prevalence of sarcopenia in older Chinese adults. Our results suggest that China has a large number of patients with sarcopenia. These findings would be useful for sarcopenia prevention in China. There is a high degree of heterogeneity, and although there are a large number of cases and could be an emerging public health issue, more research is required to make these claims.PROSPERO registration numberCRD42020223405.
BackgroundCystatin C (CysC) is often used to diagnose and monitor renal diseases. Although some studies have investigated the association between serum CysC levels and thyroid diseases, their reported results were inconsistent. Therefore, the relationship between CysC levels and thyroid diseases remains controversial.AimThis meta-analysis aimed to statistically evaluate serum CysC levels in patients with thyroid diseases.MethodsA literature search was conducted using the PubMed, Web of Science, Embase, EBSCO, and Wiley Online Library databases. The following search terms were used for the title or abstract: “Cystatin C” or “CysC” in combination with the terms “thyroid disease”, “thyroid function”, “hypothyroidism”, or “hyperthyroidism”. The results of the systematic analysis were presented as standardized mean differences (SMDs) with corresponding 95% confidence intervals (CIs).ResultsEleven articles (1,265 cases and 894 controls) were included in the meta-analysis. The results of the meta-analysis showed that the serum CysC levels of patients with hyperthyroidism were significantly higher than those of the controls (SMD: 1.79, 95% CI [1.34, 2.25]), and the serum CysC levels of patients with hypothyroidism were significantly lower than those of the controls (SMD −0.59, 95% CI [−0.82, −0.36]). Moreover, the treatment of thyroid diseases significantly affected serum CysC levels.ConclusionsTo the best of our knowledge, this meta-analysis is the first to evaluate serum CysC levels in patients with thyroid diseases. Our findings suggest that thyroid function affects serum CysC levels and that serum CysC may be an effective marker for monitoring thyroid diseases.Systematic Review RegistrationPROSPERO [https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=258022], identifier CRD42021258022].
BackgroundDiabetic nephropathy (DN) is a chronic microvascular complication caused by long-term hyperglycemia in patients with diabetes and an important cause of end-stage renal disease. Although some studies have shown that soluble Klotho(sKlotho) levels of patients with DN are lower than those without DN, in the early stage of patients with DN with normal renal function and albuminuria, the change in sKlotho is still controversial.AimThis meta-analysis was conducted to statistically evaluate sKlotho levels in patients with DN.MethodsWe searched the following electronic databases: Web of Science, Embase, PubMed, Google Scholar, and China National Knowledge Infrastructure (CNKI). The following search terms were used for the title or abstract: “diabetic kidney disease”, “diabetic nephropathy”, OR “DN” in combination with “Klotho”. The meta-analysis results were presented as standardized mean differences (SMDs) with corresponding 95% confidence intervals (CIs).ResultsFourteen articles were included in the meta-analysis. In our meta-analysis, we found that the sKlotho level in patients with DN was significantly lower than that in patients without DN (SMD: -1.52, 95% CI [-2.24, -0.80]), and it was also significantly lower in the early stage of DN (SMD: -1.65, 95% CI [-2.60, -0.70]).ConclusionsThis systematic review was the first to evaluate the relationship between sKlotho levels and DN. The sKlotho level was significantly lower in the early stages of DN, indicating that sKlotho might be a new biomarker of DN in the future.
Background. The repair of dental pulp injury relies on the odontogenic differentiation of dental pulp stem cells (DPSCs). To better understand the odontogenic differentiation of DPSCs and identify proteins involved in this process, tandem mass tags (TMTs) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) were applied to compare the proteomic profiles of induced and control DPSCs. Methods. The proteins expressed during osteogenic differentiation of human DPSCs were profiled using the TMT method combined with LC-MS/MS analysis. The identified proteins were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Then, a protein-protein interaction (PPI) network was constructed. Two selected proteins were confirmed by western blotting (WB) analysis. Results. A total of 223 proteins that were differentially expressed were identified. Among them, 152 proteins were significantly upregulated and 71 were downregulated in the odontogenic differentiation group compared with the control group. On the basis of biological processes in GO, the identified proteins were mainly involved in cellular processes, metabolic processes, and biological regulation, which are connected with the signaling pathways highlighted by KEGG pathway analysis. PPI networks showed that most of the differentially expressed proteins were implicated in physical or functional interaction. The protein expression levels of FBN1 and TGF-β2 validated by WB were consistent with the proteomic analysis. Conclusions. This is the first proteomic analysis of human DPSC odontogenesis using a TMT method. We identified many new differentially expressed proteins that are potential targets for pulp-dentin complex regeneration and repair.
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