Comprehensive data on the relationship between KCNJ11 polymorphisms and gestational diabetes mellitus predisposition: a meta-analysis.

Purpose: The genetic aspect of gestational diabetes mellitus (GDM) is influenced by multiple causal genetic variants, each with different effect sizes. The KCNJ11 gene is particularly noteworthy as a potential contributor to the risk of GDM due to its role in regulating glucose-induced insulin secretion. To evaluate the association between KCNJ11 polymorphisms and GDM, a comprehensive meta-analysis was conducted to review the existing literature and quantitatively assess the correlation. Methods: A thorough search was performed on the PubMed, EMBASE, Scopus, and CNKI databases until December 25, 2023, using precise terms and keywords related to Gestational Diabetes, KCNJ11 gene, and polymorphism. Odds ratios and 95% confidence intervals were used to evaluate the relationships. The statistical analysis was conducted using Comprehensive Meta-Analysis software, and the Cochrane risk of bias assessment tool was used to determine bias presence. Results: The meta-analysis comprised 9 studies with 3108 GDM cases and 5374 controls for the rs5219 polymorphism, and 3 studies with 1209 GDM cases and 1438 controls for the rs5210 polymorphism. The pooled data indicated a noteworthy link between the rs5219 polymorphism and GDM globally and among various ethnic groups, notably in Caucasian and Asian populations. However, no substantial association was observed between the rs5210 polymorphism and GDM. Conclusions: Pooled data showed a correlation between the KCNJ11 rs5219 polymorphism and GDM susceptibility, but no association was found for the rs5210 polymorphism. Future research with larger sample sizes and more diverse populations is needed to improve result generalizability. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01428-0.

A Comprehensive Integration of Data Regarding the Correlation of TNF-α rs1800629 Polymorphism with Susceptibility to Cervical Cancer.

BACKGROUND: Cervical cancer, globally, ranks as the runner-up among the most prevalent forms of cancer affecting women. The role of the tumor necrosis factor alpha (TNF-α) polymorphism in the susceptibility to cervical cancer has been a subject of interest. However, the current evidence regarding this association remains inconclusive. METHODS: To address this uncertainty, eligible studies were systematically searched and retrieved from various databases including Cochrane Library, EMBASE, PubMed, Web of Science, CNKI, and Wanfang database. The search was conducted until September 01, 2023. The collected literature was then subjected to independent analysis by two authors. The pooled odds ratio along with the corresponding 95% confidence interval was calculated using different genetic models. Additionally, sensitivity and cumulative analyses were performed to assess the stability of the obtained results. RESULTS: A total of 29 case-control studies involving 8850 cases and 9286 controls were included in the present analysis. The findings revealed that the TNF-α rs1800629 polymorphism increased the risk of cervical cancer under the allele genetic model (A vs. G: OR = 1.277, 95% CI = 1.104-1.477, P = 0.001) in the general population. Subgroup analysis based on ethnicity demonstrated that this polymorphism was associated with an increased risk of cervical cancer in Caucasian and African women, but not in Asians. Furthermore, subgroup analysis based on country of origin indicated a significant correlation between the TNF-α rs1800629 polymorphism and an increased risk of cervical cancer in American and Chinese women, but not in Iranian women. CONCLUSIONS: The findings from this meta-analysis suggest that the TNF-α rs1800629 polymorphism is a risk factor for cervical cancer in the general population, particularly in Caucasian and African women. However, further well-designed studies are warranted to validate these findings.

Lack of Association between TP73 G4C14-A4T14 Polymorphism and Cervical Cancer Risk in Overall and Asian Women: A Meta-Analysis.

BACKGROUND: Growing studies revealed the association between polymorphisms in Tumor Protein TP73 (TP73) and susceptibility to cancer, especially with gynecological cancers. but, the results remained inconsistent. This meta-analysis was carried out to examine the relationship of the TP73 G4C14-to-A4T14 polymorphism (hereafter, G4C14-to-A4T14) with susceptibility to cervical cancer globally and by ethnicity. METHODS: Eligible studies were collected by retrieving PubMed, Scopus, Web of Science, Embase, Wan Fang, and CNKI published before 25 October, 2023. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of such association. RESULTS: A total of 10 case-control studies with 1804 cervical cancer cases and 2433 healthy controls were included to this study. The pooled results showed that TP73 G4C14-to-A4T14 polymorphism was not associated with cervical cancer risk in overall. in terms of stratified analyses by ethnicity, this polymorphism was not associated with risk of cervical cancer among East-Asian women. however,  there was a significant association based source of control among hospital-based studies. CONCLUSIONS: Inconsistent with previous meta-analyses, our pooled results revealed that TP73 G4C14-to-A4T14 polymorphism might not be a risk factor for development of cervical cancer globally and among East-Asian women. Moreover, further studies examining the effect of gene-gene and gene-environment interactions may eventually provide a better knowledge.

An unusual displacement of the cervical plate to the inner surface of the hypopharynx.

Unlocking and penetration of the screws and displacement or breakage of the plates are some commonly reported complications associated with the cervical implants. It is imperative to provide immediate surgical intervention along with a complete workup. Timely diagnosis and management can reduce further complications and morbidities.