Dataset Information

HTR1A Gene Polymorphism in Type 2 Diabetes Mellitus Comorbid with Major Depressive Disorder in a Chinese Population.

ABSTRACT:

Background

Major depressive disorder is a frequent mental illness, which is common in patients with type 2 diabetes. Type 2 diabetes comorbid with depression has a worse prognosis. There are multiple risk factors for depression, and genetic studies have shown that gene polymorphism may play an important role in the pathogenesis of depression.

Methods

A total of 874 patients with type 2 diabetes were recruited for this study and divided into two groups: depressive group (DDM group, n = 234) and non-depressive group (NDDM group, n = 640). HTR1A gene polymorphisms (rs6295, rs878567, rs1800044) genotyping work was performed using a custom by design 48-Plex SNPscan^TM Kit.

Results

The rs6295, rs878567, and rs1800044 SNPs were not associated with type 2 diabetes comorbid with depression. Female sex, age, and FBG level increased the risk of depression in patients with type 2 diabetes.

Conclusion

HTR1A rs6295, rs878567, and rs1800044 SNPs polymorphism is not associated with type 2 diabetes comorbid with depression. Rather, female sex, age, and FBG level are risk factors for depression among patients with type 2 diabetes. Larger studies are needed to further confirm our findings.

SUBMITTER: Simayi D

PROVIDER: S-EPMC9148918 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

HTR1A Gene Polymorphism in Type 2 Diabetes Mellitus Comorbid with Major Depressive Disorder in a Chinese Population.

Simayi Dilixia D Guan Yaqun Y

Diabetes, metabolic syndrome and obesity : targets and therapy 20220525

<h4>Background</h4>Major depressive disorder is a frequent mental illness, which is common in patients with type 2 diabetes. Type 2 diabetes comorbid with depression has a worse prognosis. There are multiple risk factors for depression, and genetic studies have shown that gene polymorphism may play an important role in the pathogenesis of depression.<h4>Methods</h4>A total of 874 patients with type 2 diabetes were recruited for this study and divided into two groups: depressive group (DDM group, ...[more]

PMID: 35651901

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Project description:ObjectiveTo provide an estimate of the effect of interventions on comorbid depressive disorder (MDD) or subthreshold depression in type 1 and type 2 diabetes.MethodsSystematic review and meta-analysis. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomized controlled trials evaluating the outcome of depression treatments in diabetes and comorbid MDD or subthreshold symptoms published before August 2019 compared to care as usual (CAU), placebo, waiting list (WL), or active comparator treatment as in a comparative effectiveness trial (CET). Primary outcomes were depressive symptom severity and glycemic control. Cohen's d is reported.ResultsForty-three randomized controlled trials (RCTs) were selected, and 32 RCTs comprising 3,543 patients were included in the meta-analysis. Our meta-analysis showed that, compared to CAU, placebo or WL, all interventions showed a significant effect on combined outcome 0,485 (95% CI 0.360; 0.609). All interventions showed a significant effect on depression. Pharmacological treatment, group therapy, psychotherapy, and collaborative care had a significant effect on glycemic control. High baseline depression score was associated with a greater reduction in HbA1 c and depressive outcome. High baseline HbA1 c was associated with a greater reduction in HbA1 c.ConclusionAll treatments are effective for comorbid depression in type 1 diabetes and type 2 diabetes. Over the last decade, new interventions with large effect sizes have been introduced, such as group-based therapy, online treatment, and exercise. Although all interventions were effective for depression, not all treatments were effective for glycemic control. Effective interventions in comorbid depressive disorder may not be as effective in comorbid subthreshold depression. Baseline depression and HbA1 c scores modify the treatment effect. Based on the findings, we provide guidance for treatment depending on patient profile and desired outcome, and discuss possible avenues for further research.

Project description:Background: Major Depressive Disorder (MDD) is a moderately heritable disorder with a high lifetime prevalence. At present, laboratory blood tests to support MDD diagnosis are not available. Methods: We used a classifier approach on blood gene expression profiles of a unique set of non-medicated subjects (MDD patients and controls) to select genes of which expression is predictive for disease status. To reveal blood gene expression changes related to MDD disease, we applied a powerful ex vivo stimulus to the blood, i.e. incubation with lipopolysaccharide (LPS; 10 ng/ml blood). Results: Based on LPS-stimulated blood gene expression using whole-genome microarrays in 42 subjects (primary cohort; 21 MDD patients (mean age 42.3 years), 21 healthy controls (mean age 41.9 years)), we identified a set of genes (CAPRIN1, CLEC4A, KRT23, MLC1, PLSCR1, PROK2, ZBTB16) that serves as a molecular signature of MDD. These findings were validated for the primary cohort using an independent quantitative PCR method (P = 0.007). The difference between depressive patients and controls was confirmed (P = 0.019) in a replication cohort of 13 patients with MDD (mean age 42.8 years) and 14 controls (mean age 45.6 years). The MDD-signature score comprised of expression levels of 7 genes could discriminate depressive patients from controls with sensitivity of 76.9% and specificity of 71.8%. Conclusions: We show for the first time that molecular analysis of stimulated blood cells can be used as an endophenotype for MDD diagnosis, which is a milestone in establishing biomarkers for neuropsychiatric disorders with moderate heritability in general. Our results may provide a new entry point for following and predicting treatment outcome, as well as prediction of severity and recurrence of MDD. In total, 33 MDD patients and 34 healthy controls were analyzed using basal gene expression in whole blood, and gene expression from whole blood that was stimulated with LPS for 5-6 h, using microarrays. Patients were arbitrarily selected from all patients to serve as primary cohort (nMDD = 21 (MDD01-MDD21); nControls = 21 (Con01-Con21)), or replication cohort (nMDD = 12 (MDD22-MDD35); nControls = 13 (Con22-Con37)) using microarrays. This submission does not include Samples CON21_LPS or CON30_LPS.

Dataset Information

HTR1A Gene Polymorphism in Type 2 Diabetes Mellitus Comorbid with Major Depressive Disorder in a Chinese Population.

Background

Methods

Results

Conclusion

Publications

HTR1A Gene Polymorphism in Type 2 Diabetes Mellitus Comorbid with Major Depressive Disorder in a Chinese Population.

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