Contribution of VDR polymorphisms to type 1 diabetes susceptibility: Systematic review of case–control studies and meta-analysis

2014 ◽  
Vol 143 ◽  
pp. 240-249 ◽  
Author(s):  
Kalthoum Tizaoui ◽  
Wajih Kaabachi ◽  
Agnès Hamzaoui ◽  
Kamel Hamzaoui
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Diabetes Susceptibility ◽  
Vdr Polymorphisms

Association between VDR polymorphisms and multiple sclerosis: systematic review and updated meta-analysis of case-control studies

2017 ◽  
Vol 39 (2) ◽  
pp. 225-234 ◽  
Author(s):  
Yan-Jie Zhang ◽  
Li Zhang ◽  
Shan-Yu Chen ◽  
Guo-Jun Yang ◽  
Xiao-Lei Huang ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Vdr Polymorphisms

scholarly journals Vitamin D receptor gene polymorphisms and the risk of the type 1 diabetes: a meta-analysis based on 40 case–control studies

2020 ◽  
Author(s):  
Na Zhai ◽  
Ramtin Bidares ◽  
Masoud Hassanzadeh Makoui ◽  
Saeed Aslani ◽  
Payam Mohammadi ◽  
...  
Keyword(s):  
Vitamin D ◽  
Type 1 Diabetes ◽  
Vitamin D Receptor ◽  
Subgroup Analysis ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Receptor Gene ◽  
Case Control ◽  
Case Control Studies

Abstract Background: The association between the polymorphisms in the vitamin D receptor (VDR) gene and the risk of type 1 diabetes mellitus (T1DM) has been evaluated in several studies. However, the findings were inconclusive. Thus, we conducted a meta-analysis to comprehensively evaluate the effect of VDR gene polymorphisms on the risk of T1DM.Methods: All relevant studies reporting the association between VDR gene polymorphisms and susceptibility to T1DM published up to May 2020 were identified by comprehensive systematic database search in ISI Web of Science, Scopus, and PubMed/MEDLINE. Strength of association were assessed by calculating of pooled odds ratios (ORs) and 95% confidence intervals (CIs). The methodological quality of each study was assessed according to the Newcastle–Ottawa Scale. To find the potential sources of heterogeneity, meta-regression and subgroup analysis were also performed. Results: A total of 40 case–control studies were included in this meta-analysis. The results of overall population rejected any significant association between VDR gene polymorphisms and T1DM risk. However, the pooled results of subgroup analysis revealed significant negative and positive associations between FokI and BsmI polymorphisms and T1DM in Africans and Americans, respectively. Conclusions: This meta-analysis suggested a significant association between VDR gene polymorphism and T1DM susceptibility in ethnic-specific analysis.

scholarly journals Vitamin D receptor gene polymorphisms and the risk of the type 1 diabetes: a meta-analysis based on 40 case–control studies

2020 ◽  
Author(s):  
Masoud Hassanzadeh Makoui ◽  
Saeed Aslani ◽  
Payam Mohammadi ◽  
Bahman Razi ◽  
danyal imani
Keyword(s):  
Vitamin D ◽  
Type 1 Diabetes ◽  
Vitamin D Receptor ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Vdr Gene ◽  
Vdr Gene Polymorphisms

Abstract Objective The association between the vitamin D receptor ( VDR ) gene polymorphisms and the risk of Type 1 diabetes mellitus (T1DM) has been evaluated in several studies. However, the findings were inconclusive. Thus, we conducted a meta-analysis to comprehensively evaluate the effect of VDR gene polymorphisms on the risk of T1DM.Methods All relevant studies reporting the association between VDR gene polymorphisms and susceptibility to T1DM published up to July 2019 were identified by comprehensive systematic database search in web of science, Scopus, and PubMed. Strength of association were assessed by calculating of pooled odds ratios (ORs) and 95% confidence intervals (CIs). The methodological quality of each study was assessed according to the Newcastle–Ottawa Scale. Subgroup analysis stratified by ethnicity was also conducted.Results A total of 40 case–control studies were included in this meta-analysis. The results of overall population rejected any significant association between VDR gene polymorphisms and T1DM risk. However, the pooled results of subgroup analysis revealed significant negative and positive associations between FokI and BsmI genes polymorphism and T1DM in African and American populations, respectively.Conclusions This meta-analysis suggested a significant association between VDR gene polymorphism and T1DM susceptibility in ethnic-specific analysis.

scholarly journals Is there any association between gut microbiota and type 1 diabetes? A systematic review

Gut Pathogens ◽  
2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Parnian Jamshidi ◽  
Saba Hasanzadeh ◽  
Azin Tahvildari ◽  
Yeganeh Farsi ◽  
Mahta Arbabi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes ◽  
Gut Microbiota ◽  
Case Control ◽  
Case Control Studies ◽  
Microbial Composition ◽  
Cross Sectional ◽  
Nested Case Control ◽  
Gut Microbiota Dysbiosis

Abstract Introduction Type 1 diabetes (T1D) is the second most common autoimmune disease among children. There is evidence suggesting that dysbiosis of some gut colonizing bacteria are associated with the pathogenesis of T1D. However, these studies are still controversial and a systematic review was conducted to evaluate the association between gut microbiota and T1D. Methods A systematic search was carried out in Medline (Via Pubmed) and Embase from January 2000 to January 2019 for all original cross-sectional, cohort, case–control or nested case–control studies investigating the association between gut microbiota and T1D. Results Of 568 articles identified, 26 studies met the inclusion criteria. The total population study of these articles consists of 2600 children (under 18 years old) and 189 adults. Among the included studies, 24 articles confirmed the association between gut microbiota dysbiosis and T1D. The most common bacterial alterations in T1D patients included Bacteroides spp., Streptococcus spp., Clostridium spp., Bifidobacterium spp., Prevotella spp., Staphylococcus spp., Blautia spp., Faecalibacterium spp., Roseburia spp., and Lactobacillus spp. Conclusion Our study showed a significant association between alterations in intestinal microbial composition and T1D; however, in some articles, it is not clear which one happens first. Investigation of altered gut microbiota can help in the early detection of T1D before seropositivity. Targeted microbiome modulation can be a novel potential therapeutic strategy.

scholarly journals Vitamin D receptor gene polymorphisms and the risk of the type 1 diabetes: a meta-analysis based on 40 case–control studies

2020 ◽  
Author(s):  
Na Zhai ◽  
Ramtin Bidares ◽  
Masoud Hassanzadeh Makoui ◽  
Saeed Aslani ◽  
Payam Mohammadi ◽  
...  
Keyword(s):  
Vitamin D ◽  
Type 1 Diabetes ◽  
Vitamin D Receptor ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Vdr Gene ◽  
Vdr Gene Polymorphisms

Abstract Background: The association between the vitamin D receptor ( VDR ) gene polymorphisms and the risk of type 1 diabetes mellitus (T1DM) has been evaluated in several studies. However, the findings were inconclusive. Thus, we conducted a meta-analysis to comprehensively evaluate the effect of VDR gene polymorphisms on the risk of T1DM. Methods: All relevant studies reporting the association between VDR gene polymorphisms and susceptibility to T1DM published up to March 2020 were identified by comprehensive systematic database search in ISI Web of Science, Scopus, and PubMed/MEDLINE. Strength of association were assessed by calculating of pooled odds ratios (ORs) and 95% confidence intervals (CIs). The methodological quality of each study was assessed according to the Newcastle–Ottawa Scale. Subgroup analysis stratified by ethnicity was also conducted. Results: A total of 40 case–control studies were included in this meta-analysis. The results of overall population rejected any significant association between VDR gene polymorphisms and T1DM risk. However, the pooled results of subgroup analysis revealed significant negative and positive associations between FokI and BsmI polymorphisms and T1DM in African and American populations, respectively. Conclusions: This meta-analysis suggested a significant association between VDR gene polymorphism and T1DM susceptibility in ethnic-specific analysis.

Time in range for multiple technologies in type 1 diabetes: a systematic review and network meta-analysis

2020 ◽  
Author(s):  
Anthony Pease ◽  
Clement Lo ◽  
Arul Earnest ◽  
Velislava Kiriakova ◽  
Danny Liew ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes ◽  
Closed Loop ◽  
Meta Analysis ◽  
Management Strategies ◽  
Glucose Testing ◽  
Closed Loop Systems ◽  
Percent Time ◽  
Time In Range

<b>Background: </b>Time-in-range is a key glycaemic metric, and comparisons of management technologies for this outcome are critical to guide device selection. <p><b> </b></p> <p><b>Purpose: </b>We conducted a systematic review and network meta-analysis to compare and rank technologies for time in glycaemic ranges.</p> <p> </p> <p><b>Data sources: </b>We searched All Evidenced Based Medicine Reviews, CINAHL, EMBASE, MEDLINE, MEDLINE In-Process and other non-indexed citations, PROSPERO, PsycINFO, PubMed, and Web of Science until 24 April, 2019.</p> <p> </p> <p><b>Study selection: </b>We included randomised controlled trials <u>></u>2 weeks duration comparing technologies for management of type 1 diabetes in adults (<u>></u>18 years of age), excluding pregnant women. </p> <p> </p> <p><b>Data extraction: </b>Data were extracted using a predefined template. Outcomes were percent time with sensor glucose levels 3.9–10.0mmol/l (70–180mg/dL), >10.0mmol/L (180mg/dL), and <3.9mmol/L (70mg/dL). </p> <p><b> </b></p> <p><b>Data synthesis: </b>We identified 16,772 publications, of which 14 eligible studies compared eight technologies comprising 1,043 participants. Closed loop systems lead to greater percent time-in-range than any other management strategy and was 17.85 (95% predictive interval [PrI] 7.56–28.14) higher than usual care of multiple daily injections with capillary glucose testing. Closed loop systems ranked best for percent time-in-range or above range utilising surface under the cumulative ranking curve (SUCRA–98.5 and 93.5 respectively). Closed loop systems also ranked highly for time below range (SUCRA–62.2). </p> <p><b> </b></p> <p><b>Limitations: </b>Overall risk of bias ratings were moderate for all outcomes. Certainty of evidence was very low.</p> <p><b> </b></p> <p><b>Conclusions: </b>In the first integrated comparison of multiple management strategies considering time-in-range, we found that the efficacy of closed loop systems appeared better than all other approaches. </p>

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