Gene-disease association study of tumor necrosis factor-α G-308A gene polymorphism with risk of major depressive disorder: A systematic review and meta-analysis

Association of Single Nucleotide Polymorphisms of Cytokine Genes with Depression, Schizophrenia and Bipolar Disorder

Immune gene variants are known to be associated with the risk of psychiatric disorders, their clinical manifestations, and their response to therapy. This narrative review summarizes the current literature over the past decade on the association of polymorphic variants of cytokine genes with risk, severity, and response to treatment for severe mental disorders such as bipolar disorder, depression, and schizophrenia. A search of literature in databases was carried out using keywords related to depressive disorder, bipolar disorder, schizophrenia, inflammation, and cytokines. Gene lists were extracted from publications to identify common genes and pathways for these mental disorders. Associations between polymorphic variants of the IL1B, IL6, and TNFA genes were the most replicated and relevant in depression. Polymorphic variants of the IL1B, IL6, IL6R, IL10, IL17A, and TNFA genes have been associated with schizophrenia. Bipolar disorder has mainly been associated with polymorphic variants of the IL1B gene. Interestingly, the IL6R gene polymorphism (rs2228145) was associated with all three diseases. Some cytokine genes have also been associated with clinical presentation and response to pharmacotherapy. There is also evidence that some specific polymorphic variants may affect the expression of cytokine genes. Thus, the data from this review indicate a link between neuroinflammation and severe mental disorders.

Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Monocyte-to-Lymphocyte Ratio in Depression: An Updated Systematic Review and Meta-Analysis

BACKGROUND

Research on neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) in depression is still emerging and has increased 3-fold since the first meta-analysis. An updated meta-analysis with sufficient studies can provide more evidence for a potential relationship between NLR, PLR, MLR, and depression.

METHODS

We identified 18 studies from the PubMed, EMBASE, Cochrane library, and Web of Science databases. Meta-analyses were performed to generate pooled standardized mean differences (SMDs) and 95% confidence intervals (CIs) between patients with depression and controls. Sensitivity analysis, subgroup analysis, meta-regression, and publication bias were conducted.

RESULTS

A total of 18 studies including 2,264 depressed patients and 2,415 controls were included. Depressed patients had significantly higher NLR and PLR compared with controls (SMD = 0.33, 95% CI: 0.15-0.52, p < 0.001 and SMD = 0.24, 95% CI: 0.02-0.46, p < 0.05, respectively). MLR was slightly higher in depressed individuals compared to controls (SMD = 0.15, 95% CI: -0.26 to 0.55, p > 0.05), despite the absence of significance. Sensitivity analysis removing one study responsible for heterogeneity showed a higher and significant effect (SMD = 0.32, 95% CI: 0.20-0.44) of MLR. Three subgroup analyses of NLR, PLR, MLR, and depression revealed obvious differences in the inflammatory ratios between depressed patients and controls in China and the matched age and gender subgroup. Individuals with post-stroke depression (PSD) had higher NLR and MLR values as compared to non-PSD patients (SMD = 0.51, 95% CI: 0.36-0.67, p < 0.001 and SMD = 0.46, 95% CI: 0.12-0.79, p < 0.01, respectively). Meta-regression analyses showed that male proportion in the case group influenced the heterogeneity among studies that measured NLR values (p < 0.05).

CONCLUSIONS

Higher inflammatory ratios, especially NLR, were significantly associated with an increased risk of depression. In the subgroup of China and matched age and gender, NLR, PLR, and MLR were all elevated in depressed patients vs. controls. Individuals with PSD had higher NLR and MLR values as compared to non-PSD patients. Gender differences may have an effect on NLR values in patients with depression.

Association between TNF-α gene polymorphisms and susceptibility of myelodysplastic syndromes: a meta-analysis

OBJECTIVE

Myelodysplastic syndromes (MDS) constitute a heterogeneous group of clonal hematological diseases. Previous investigations reported that tumor necrosis factor-alpha (TNF-α) gene polymorphisms were associated with MDS susceptibility, but the results remained controversial. Thus, we conducted a meta-analysis to higher elucidate the correlation between TNF-α gene polymorphisms and MDS susceptibility.

METHODS

The PubMed, Cochrane Library, Embase, Chinese National Knowledge Infrastructure (CNKI), and Wan Fang databases were searched for eligible literatures published up to July 2021. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were applied to evaluate the strength of association.

RESULTS

Eight studies involving 1180 MDS patients and 1387 controls were included in this meta-analysis. For the TNF-α G308A polymorphism, we confirmed that the G allele (G versus A: P = 0.001), GG genotypes (GG versus GA: P = 0.005; GG versus GA + AA: P = 0.002), and GG + AA genotypes (GG + AA versus GA: P = 0.008) was significantly associated with decreased MDS susceptibility according to different genetic models. Furthermore, the G308A polymorphism was significantly correlated with decreased occurrence risk of MDS in the Caucasian population as compared with Asians in the above four genetic models (P < 0.05). However, no significant association was observed between the TNF-α G238A polymorphism and MDS risk.

CONCLUSION

This research showed that TNF-α G308A polymorphism might be a potential biomarker in early clinical screening of MDS, which would contribute to improving the individualized prevention of MDS patients in clinic.

Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature

Depression is one of the leading causes of disability, and, if left unmanaged, it can increase the risk for suicide. The evidence base on the determinants of depression is fragmented, which makes the interpretation of the results across studies difficult. The objective of this study is to conduct a thorough synthesis of the literature assessing the biological, psychological, and social determinants of depression in order to piece together the puzzle of the key factors that are related to this condition. Titles and abstracts published between 2017 and 2020 were identified in PubMed, as well as Medline, Scopus, and PsycInfo. Key words relating to biological, social, and psychological determinants as well as depression were applied to the databases, and the screening and data charting of the documents took place. We included 470 documents in this literature review. The findings showed that there are a plethora of risk and protective factors (relating to biological, psychological, and social determinants) that are related to depression; these determinants are interlinked and influence depression outcomes through a web of causation. In this paper, we describe and present the vast, fragmented, and complex literature related to this topic. This review may be used to guide practice, public health efforts, policy, and research related to mental health and, specifically, depression.

Preliminary investigation of two promoter region polymorphisms of the TNFA gene in patients with recurrent depressive disorder

Immune system dysregulation plays a role in the pathogenesis of complex human diseases, including psychiatric disorders. In addition, elevated levels of pro-inflammatory cytokines, including tumor necrosis factor α (TNF-α) may be conditioned by the presence of specific polymorphic variants. The present case-controlled preliminary study evaluated the prevalence of TNFA gene single nucleotide polymorphisms (SNPs) G-308A (rs1800629) and T-1031C (rs1799964) in 83 Polish patients with depression by restriction fragment length polymorphism analysis. The results were compared with the frequencies of genotypes in a geographically- and ethnically-matched group of individuals without depression. No statistically significant difference in genotype/allele frequency was observed for either SNP between the two groups. No association was found between the particular genotypes and selected demographic/clinical features, including sex, age at diagnosis or severity of depressive symptoms before/after pharmacotherapy. Thus, there does not appear to be any connection between the studied SNPs and the development and progression of depression; however, further studies are required with larger cohorts to better understand this aspect of depression.

Gene-disease association study of tumor necrosis factor-α G-308A gene polymorphism with risk of major depressive disorder: A systematic review and meta-analysis

INTRODUCTION

The single nucleotide polymorphism (SNP) of the tumor necrosis factor-α (TNF-α) G-308A gene is the most studied regarding susceptibility to major depressive disorder (MDD). However, results have been controversial perhaps due to the heterogeneous genetic backgrounds influenced by race as well as subtypes of depression.

METHODS AND MATERIALS

A systematic MEDLINE search was performed to retrieve all published studies that identified the connection between the TNF-α G-308A gene polymorphism and the risk of MDD.

RESULTS

There was no statistical difference between the allele frequencies or genotypes of TNF-α G-308A gene and the depressive patients or healthy subjects in the five models tested. Further, subgroup analyses showed that the TNF-α G-308A gene polymorphism also did not confer susceptibility to poststroke, late-life, maternal, or major depression. Publication bias analysis showed p values were more than .05, suggesting that the 9 articles included in the current analysis had no publication bias.

CONCLUSION

Neither the allele frequencies nor genotypes of TNF-α G-308A gene could be served as an independent risk factor of depression.