In vitro model of perimenopausal depression implicates steroid metabolic and proinflammatory genes

The association between depression during perimenopause and progression of chronic conditions and multimorbidity: results from a Chinese prospective cohort

PURPOSE

The association between perimenopausal depression and many chronic conditions among women has been well-established. However, the role of depression during perimenopause in the progression of multiple chronic conditions (multimorbidity) remains poorly understood.

MATERIAL AND METHODS

A total of 1,216 community-dwelling women in their perimenopause period between 2010 and 2016 were enrolled in our analysis, and followed up for the progression of multimorbidity. Depression, as well as its severity, was evaluated by the Center for Epidemiologic Studies Depression 10-item scale (CES-D-10). Progression of multimorbidity was defined as the first report of two or more chronic conditions for participants without multimorbidity or the new report of one or more conditions for those with multimorbidity. Univariable and multivariable Cox proportional hazards model and the restricted cubic spline regression model were performed to assess the prospective association between perimenopausal depression and the progression of multimorbidity.

RESULTS

A total of 480 (39.5%) women reported depression during perimenopause, and 529 (43.5%) women progressed to multimorbidity. After adjusting for socio-demographic and lifestyle factors, perimenopausal depression was independently associated with the progression of multimorbidity (hazard ratio [HR]: 1.34; 95% confidence interval [CI]: 1.13 to 1.60). Moreover, the severity of depression was positively and linearly associated with the progression of multimorbidity (P < 0.05).

CONCLUSIONS

Our finding reveals a prospective association between perimenopausal depression and the progression of multimorbidity, indicating interventions targeting perimenopausal depression may reduce the burden of chronic diseases and multimorbidity in women's post-menopausal life.

Intrinsically dysregulated cellular stress signaling genes and gene networks in postpartum depression

Postpartum depression (PPD) is a leading cause of morbidity and mortality among women. Clinically, the administration and withdrawal of supraphysiologic estradiol and progesterone (E2 + P) can cause affective symptom reoccurrence in women with a history of PPD, but not matched controls. To investigate the cellular basis underlying this differential affective response, lymphoblastoid cell lines (LCLs) were derived from women with and without past PPD and compared transcriptomically in hormone conditions mimicking pregnancy and parturition: supraphysiologic E2 + P-addback; supraphysiologic E2 + P-withdrawal; and no added E2 + P (Baseline). RNA-sequencing identified unique differentially expressed genes (DEGs) in all hormone conditions, but the majority tended to be downregulated in PPD and observed in E2 + P-addback. Two of these DEGs were evolutionarily conserved cellular stress regulators: IMPACT, an integrative response protein maintaining translational homeostasis, and WWTR1, a transcriptional coactivator in the 'Hippo' pathway mediating cell proliferation and survival. Correspondingly, significant gene network modules were linked to cell cycle progression, estrogen response, and immune dysregulation, suggesting innate differences in intracellular signaling in PPD. In certain hormone conditions, PPD LCLs displayed increased GATA3 expression (an upstream regulator of IMPACT and WWTR1) and differentially phosphorylated eiF2α (the ultimate downstream target of IMPACT). Taken together, these transcriptomic data primarily implicate innately dysregulated cellular responses as potentially influencing mood and/or escalating PPD risk. Furthermore, the intrinsic downregulation of IMPACT's translation and WWTR1's transcription networks may suggest a novel link between PPD and a compromised ability to maintain homeostasis in the context of cellular stress occurring during pregnancy and parturition.

Exosomes may be the carrier of acupuncture treatment for major depressive disorder

The incidence of major depressive disorder (MDD) is increasing all over the world. There is a great need for complementary or alternative therapies with high safety, few side effects, and precise efficacy to care for MDD. In China, acupuncture has significant laboratory data and clinical trials to demonstrate its antidepressant efficacy. However, there is no clear answer as to how it works. Exosomes are membranous vesicles that rely on cellular multivesicular bodies (MVBs) fused to the cell membrane for release into the extracellular matrix. Almost all cell types are capable of producing and releasing exosomes. As a result, exosomes contain complex RNAs and proteins from their relatives (Cells that secretes exosomes). They can cross biological barriers and participate in biological activities, such as cell migration, angiogenesis, and immune regulation. These properties have made them a popular research topic. Some experts have suggested that exosomes may serve as delivery vehicles for acupuncture to work. This presents both an opportunity and a new challenge for improving the protocols of acupuncture as a treatment for MDD. To better define the relationship between MDD, exosomes, and acupuncture, we reviewed the literature from the last few years. Inclusion criteria included randomized controlled trials and basic trials evaluating acupuncture in the treatment or prevention of MDD, the role of exosomes in the development and progression of MDD, and the role of exosomes in acupuncture. We believe that acupuncture may affect the distribution of exosomes in vivo, and exosomes may be a new carrier for acupuncture treatment of MDD in the future.

Functional Genomics Analysis to Disentangle the Role of Genetic Variants in Major Depression

Understanding the molecular basis of major depression is critical for identifying new potential biomarkers and drug targets to alleviate its burden on society. Leveraging available GWAS data and functional genomic tools to assess regulatory variation could help explain the role of major depression-associated genetic variants in disease pathogenesis. We have conducted a fine-mapping analysis of genetic variants associated with major depression and applied a pipeline focused on gene expression regulation by using two complementary approaches: cis-eQTL colocalization analysis and alteration of transcription factor binding sites. The fine-mapping process uncovered putative causally associated variants whose proximal genes were linked with major depression pathophysiology. Four colocalizing genetic variants altered the expression of five genes, highlighting the role of SLC12A5 in neuronal chlorine homeostasis and MYRF in nervous system myelination and oligodendrocyte differentiation. The transcription factor binding analysis revealed the potential role of rs62259947 in modulating P4HTM expression by altering the YY1 binding site, altogether regulating hypoxia response. Overall, our pipeline could prioritize putative causal genetic variants in major depression. More importantly, it can be applied when only index genetic variants are available. Finally, the presented approach enabled the proposal of mechanistic hypotheses of these genetic variants and their role in disease pathogenesis.