Dataset Information

Pharmacogenomics of sulfonylureas in type 2 diabetes mellitus; a systematic review.

ABSTRACT:

Purpose

Genetic factors have a role in response to a target medication (personalized medicine). This study aimed to review available evidence about the relationship between gene variants and therapeutic response to sulfonylureas in type 2 diabetes, systematically.

Methods

An extensive search was done in Scopus, PubMed, and Web of Science with specific search strategy in the field from the beginning until the 1^st of Jan. 2021. After sending records to endnote software and removing duplicate records remained documents were screened by title and abstract. Full texts of remained documents were assessed after removing un-related records. Required data was extracted from remained documents and records were categorized according to gene/SNP studied.

Results

Finally, 26 studies with 9170 T2DM patients with a mean age of 59.47 ± 6.67 (49.7-75.2 years) remained. The most contribution was from China, Slovakia and Greece, respectively and the most genes studied were CYP2C9, KCNJ11, and both KCNQ1 and ABCC8 with 10, 7, and 4 articles, respectively. Also, rs1799853 and rs1057910 (each with seven studies), rs5219 with six studies and CYP2C9*1(with four articles), respectively were the most common variants investigated. Studies about each gene obtained different positive or negative results and were not consistent.

Conclusion

Considering heterogeneity between SFUs pharmacogenomic studies regarding the method, sample size, population, gene/variant studied, and outcome and findings, these studies are not conclusive and need further studies.

SUBMITTER: Karkhaneh L

PROVIDER: S-EPMC9167353 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Pharmacogenomics of sulfonylureas in type 2 diabetes mellitus; a systematic review.

Karkhaneh Leyla L Tabatabaei-Malazy Ozra O Bandarian Fatemeh F Mohseni Shahrzad S Larijani Bagher B

Journal of diabetes and metabolic disorders 20211201 1

<h4>Purpose</h4>Genetic factors have a role in response to a target medication (personalized medicine). This study aimed to review available evidence about the relationship between gene variants and therapeutic response to sulfonylureas in type 2 diabetes, systematically.<h4>Methods</h4>An extensive search was done in Scopus, PubMed, and Web of Science with specific search strategy in the field from the beginning until the 1<sup>st</sup> of Jan. 2021. After sending records to endnote software an ...[more]

PMID: 35673432

Similar Datasets

Project description:ObjectiveTo assess the effectiveness of sitagliptin compared to sulfonylureas as add-on to metformin in adults with type 2 diabetes mellitus from both randomised controlled trials (RCTs) and 'real-world' non-randomised studies.Methods and analysesWe conducted a systematic review of EMBASE, MEDLINE, CENTRAL and grey literature for RCTs and non-randomised studies. We reported outcomes relating to change in HbA1c, fasting glucose, weight, blood pressure and lipids from baseline and need for treatment change. No study investigating macrovascular and microvascular diabetes complications was found. Meta-analysis was used where studies were sufficiently homogenous.ResultsSeven RCTs and five non-randomised studies were eligible for inclusion from 1335 articles retrieved. Meta-analysis of three homogenous RCTs revealed a statistically significant decrease in weight with sitagliptin when compared to sulfonylureas (weighted mean difference (WMD) -2.05 kg; 95% CI -2.38 to -1.71); however, a similar change from baseline in HbA1c (WMD 0.05; 95% CI -0.03 to 0.12), fasting glucose (WMD 0.11; 95% CI -0.08 to -0.29), blood pressure, lipids and the proportion achieving HbA1c <7% by study end (OR 0.98; 95% CI 0.85 to 1.13) was observed.Non-randomised studies identified consisted of four prospective and one retrospective cohort study. Three of these five studies were of moderate/high quality, and results though less precise suggested similar real-world comparative glycaemic and weight effectiveness for both treatments. Data from two cohort studies suggested that treatment change (HR 0.65; 95% CI 0.57 to 0.73) and insulin initiation (HR 0.76; 95% CI 0.65 to 0.90) were less likely among those prescribed sitagliptin; however, inadequate reporting of HbA1c at time of treatment change made interpreting results challenging.ConclusionSitagliptin users experienced modest weight loss compared to gain with sulfonylureas; however, this difference was around 2 kg, which may not be of major clinical significance for most individuals. Similar change was observed across most other effectiveness outcomes reported. Further studies are needed to address longer-term effectiveness outcomes for sitagliptin compared to sulfonylureas as add-on to metformin.Prospero registration numberCRD42016033983.

Project description:AimsTo reduce the burden of type 2 diabetes (T2DM), the disease decision model plays a vital role in supporting decision-making. Currently, there is no comprehensive summary and assessment of the existing decision models for T2DM. The objective of this review is to provide an overview of the characteristics and capabilities of published decision models for T2DM. We also discuss which models are suitable for different study demands.Materials and methodsFour databases (PubMed, Web of Science, Embase, and the Cochrane Library) were electronically searched for papers published from inception to August 2020. Search terms were: "Diabetes-Mellitus, Type 2", "cost-utility", "quality-of-life", and "decision model". Reference lists of the included studies were manually searched. Two reviewers independently screened the titles and abstracts following the inclusion and exclusion criteria. If there was insufficient information to include or exclude a study, then a full-text version was sought. The extracted information included basic information, study details, population characteristics, basic modeling methodologies, model structure, and data inputs for the included applications, model outcomes, model validation, and uncertainty.ResultsFourteen unique decision models for T2DM were identified. Markov chains and risk equations were utilized by four and three models, respectively. Three models utilized both. Except for the Archimedes model, all other models (n = 13) implemented an annual cycle length. The time horizon of most models was flexible. Fourteen models had differences in the division of health states. Ten models emphasized macrovascular and microvascular complications. Six models included adverse events. Majority of the models (n = 11) were patient-level simulation models. Eleven models simulated annual changes in risk factors (body mass index, glycemia, HbA1c, blood pressure (systolic and/or diastolic), and lipids (total cholesterol and/or high-density lipoprotein)). All models reported the main data sources used to develop health states of complications. Most models (n = 11) could deal with the uncertainty of models, which were described in varying levels of detail in the primary studies. Eleven studies reported that one or more validation checks were performed.ConclusionsThe existing decision models for T2DM are heterogeneous in terms of the level of detail in the classification of health states. Thus, more attention should be focused on balancing the desired level of complexity against the required level of transparency in the development of T2DM decision models.

Project description:BACKGROUND:Type 2 diabetes mellitus (T2DM) is a major global health problem. As a complementary treatment, acupuncture and related techniques are widely used to treat metabolic and endocrine diseases, but their efficacy and safety for T2DM are yet to be established. This systematic review will qualitatively and quantitatively summarize the current randomized controlled trial (RCT) evidence regarding the efficacy and safety of acupuncture and related techniques in patients with T2DM. METHODS:Comprehensive literature searches will be performed on PubMed, Embase, Cochrane Central Register of Controlled Trials, and a trial registry "ClinicalTrials.gov" from inception to December 3, 2018. We will include RCTs for patients with T2DM that compared acupuncture with placebo, antidiabetic drugs, lifestyle interventions, or the combination. Primary outcomes are fasting blood glucose and hemoglobin A1c. Secondary outcomes include 2-hour blood glucose, fasting insulin, homeostatic model assessment for insulin resistance, incidence of diabetic complications, and acupuncture-related adverse events. The risk of bias of the RCTs included in the review will be examined using a revised Cochrane handbook tool. Heterogeneity will be detected using Cochran Q test and I statistics. With the use of random effects model, we will perform meta-analyses to pool results of RCTs. The effect measures will be weighted or standardized mean difference with 95% confidence intervals (CIs) for the continuous outcomes and risk ratio with 95% CIs for the dichotomous outcomes. Subgroup analyses and meta-regression with predefined effect modifiers will be performed to explore the sources of heterogeneity. Where appropriate, we will assess the possibility of reporting bias based on funnel plots and quantitative detection. We will appraise the quality of evidence using the Grading of Recommendations Assessment, Development, and Evaluation system for each outcome. RESULTS:This study will provide accurate results and balanced inferences on the efficacy and safety of acupuncture and related techniques on T2DM. CONCLUSION:This well-designed systematic review will establish high-quality evidence of the efficacy and safety of acupuncture and related techniques for T2DM to facilitate the clinical practice and guideline development. PROSPERO REGISTRATION NUMBER:CRD42018115639.

Project description:Aims/hypothesisThe gut microbiota play crucial roles in the digestion and degradation of nutrients, synthesis of biological agents, development of the immune system, and maintenance of gastrointestinal integrity. Gut dysbiosis is thought to be associated with type 2 diabetes mellitus (T2DM), one of the world's fastest growing diseases. The aim of this systematic review is to identify differences in the composition and diversity of the gut microbiota in individuals with T2DM.MethodsA systematic search was conducted to identify studies reporting on the difference in gut microbiota composition between individuals with T2DM and healthy controls. Relevant studies were evaluated, and their characteristics and results were extracted using a standardized data extraction form. The studies were assessed for risk of bias and their findings were reported narratively.Results58 observational studies published between 2010 and 2024 were included. Beta diversity was commonly reported to be different between individuals with T2DM and healthy individuals. Genera Lactobacillus, Escherichia-Shigella, Enterococcus, Subdoligranulum and Fusobacteria were found to be positively associated; while Akkermansia, Bifidobacterium, Bacteroides, Roseburia, Faecalibacteirum and Prevotella were found to be negatively associated with T2DM.ConclusionsThis systematic review demonstrates a strong association between T2DM and gut dysbiosis, as evidenced by differential microbial abundances and altered diversity indices. Among these taxa, Escherichia-Shigella is consistently associated with T2DM, whereas Faecalibacterium prausnitzii appears to offer a protective effect against T2DM. However, the heterogeneity and observational nature of these studies preclude the establishment of causative relationships. Future research should incorporate age, diet and medication-matched controls, and include functional analysis of these gut microbes.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42023459937.

Project description:ObjectivesThe primary objective of this systematic review was to evaluate available literature on whether type 1 diabetes mellitus (T1DM) has an impact on educational attainment in individuals undertaking high stakes standardised testing at the end of compulsory schooling.DesignA systematic review was undertaken comparing educational attainment for individuals with and without T1DM who have undertaken high stakes testing at the end of compulsory schooling.Data sourcesA comprehensive search of MEDLINE, MEDLINE (epub ahead of print, in-process and other non-indexed citations), EMBASE, Web of Science, British Education Index, Education Resources Information Center and Cumulative Index to Nursing and Allied Health Literature was undertaken on 15 January 2018 and updated on 17 January 2019.Eligibility criteriaIncluded studies fulfilled the following criteria: observational study or randomised controlled trial; included individuals who have undertaken high stakes testing at the end of compulsory schooling; compared the grades obtained by individuals with T1DM with a representative population control.Data extraction and synthesisTwo reviewers performed study selection and data extraction independently. Quality and risk of bias in the observational studies included were assessed using the Newcastle-Ottawa Scale. A detailed narrative synthesis of the included studies was completed.Results3103 articles were identified from the database search, with two Swedish cohort studies (using the same linked administrative data) meeting final inclusion criteria. A small but statistically significant difference was reported in mean final grades, with children with T1DM found to have lower mean grades than their non-diabetic counterparts (adjusted mean difference 0.07-0.08).ConclusionsMore contemporary research is required to evaluate the impact of T1DM in childhood on educational attainment in individuals undertaking high stakes standardised testing at the end of compulsory schooling, taking into consideration the substantial advances in management of T1DM in the last decade.Prospero registration numberCRD42017084078.

Dataset Information

Pharmacogenomics of sulfonylureas in type 2 diabetes mellitus; a systematic review.

Purpose

Methods

Results

Conclusion

Publications

Pharmacogenomics of sulfonylureas in type 2 diabetes mellitus; a systematic review.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets