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1.
Front Genet ; 13: 1069780, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36518214

RESUMO

Background and Purpose: Traditional Chinese medicine (TCM) can regulate intestinal flora so as to affect the occurrence, progression, and prognosis of gastrointestinal cancer. According to clinical studies, TCM oral administration, TCM external treatment, and TCM injections, can adjust intestinal flora disorders in patients with gastrointestinal cancer. This network meta-analysis aims to evaluate the effect of three treatments on the intestinal flora in gastrointestinal cancer patients. Methods: This meta-analysis was registered in PROSPERO (CRD42022332553). Six electronic databases, namely CNKI, Wanfang, CSTJ, PubMed, Cochrane Library, and EMBASE, were searched from their inception to 1 April 2022. We identified randomized controlled trials (RCT) used to compare the efficacy of three TCM treatment methods-oral administration, external therapy and injections-on the intestinal flora in gastrointestinal cancer patients. The main outcome indicators were Bifidobacteria, Lactobacilli, Escherichia coli, and Enterococci. Stata (15.1) and the Cochrane risk of bias assessment tool were employed. Results: We identified 20 eligible RCTs with a total of 1,774 patients. According to network meta-analysis results, TCM injection plus common treatment (CT) or oral administration of TCM plus CT was superior to CT alone for supporting Bifidobacterium. In supporting Lactobacillus, TCM injection plus CT demonstrated more obvious effect relative to oral administration of TCM plus CT; TCM injection plus CT was more effective than CT only; and oral administration of TCM plus CT was superior to CT only.The inhibitory effect of TCM injection plus CT on Escherichia coli was better compared with CT only. In terms of inhibiting Enterococci, oral administration of TCM plus CT was superior to CT only.The difference in efficacy among the above treatments was statistically significant. In the SUCRA probability ranking, TCM injection plus CT had the best ranking curve among the three treatments and was the most effective in supporting Bifidobacteria (Sucra = 90.08%), Lactobacilli (Sucra = 96.4%), and regulating Escherichia coli (Sucra = 86.1%) and Enterococci (Sucra = 87.1%). Conclusion: TCM injections plus CT is the most effective therapy in balancing the intestinal flora of gastrointestinal cancer patients. However, the current results deserve further validation through high-quality research. Systematic Review Registration: http://www.prisma-statement.org/, identifier 10.1136/bmj.n71.

2.
Sci Rep ; 12(1): 119, 2022 01 07.
Artigo em Inglês | MEDLINE | ID: mdl-34997087

RESUMO

Previous studies have shown that vitamin D3 may be a potential factor in insulin resistance, but the relationship between vitamin D3 and insulin resistance still remains controversial. At present, more research is needed to explore the relationship between vitamin D3 and insulin resistance. The samples from 2009 to 2018 in NHANES database were analyzed to Investigate the relationship and the potential mechanism. We performed a cross-sectional study of five periods in the NHANES database. Finally, 9298 participants were selected through strict inclusion and exclusion criteria, Multivariate logistic regression analysis and curve fitting were conducted to explore the relationship between vitamin D3 level and insulin resistance. Moreover, subgroup analysis was used to further prove the association. The results revealed that there was a strong association between vitamin D3 and insulin resistance (OR 0.82, 95% CI 0.72-0.93). However, subgroup analyses indicated that this correlation varied between individuals and races. There was a negative correlation between vitamin D3 level and insulin resistance, which provides a new proof for exploring the influencing factors of insulin resistance. More well-designed studies are still needed to further elaborate on these associations.


Assuntos
Colecalciferol/sangue , Resistência à Insulina , Adulto , Idoso , Biomarcadores/sangue , Glicemia/análise , Estudos Transversais , Bases de Dados Factuais , Hemoglobinas Glicadas/análise , Humanos , Insulina/sangue , Resistência à Insulina/etnologia , Pessoa de Meia-Idade , Inquéritos Nutricionais , Fatores Raciais , Medição de Risco , Fatores de Risco , Estados Unidos/epidemiologia , Adulto Jovem
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