Development and Validation of a Comprehensive Prognostic and Depression Risk Index for Gastric Adenocarcinoma.

Depressive disorder contributes to the initiation and prognosis of patients with cancer, but the interaction between cancer and depressive disorder remains unclear. We generated a gastric adenocarcinoma patient-derived xenograft mice model, treated with chronic unpredictable mild stimulation. Based on the RNA-sequence from the mouse model, patient data from TCGA, and MDD-related (major depressive disorder) genes from the GEO database, 56 hub genes were identified by the intersection of differential expression genes from the three datasets. Molecular subtypes and a prognostic signature were generated based on the 56 genes. A depressive mouse model was constructed to test the key changes in the signatures. The signature was constructed based on the NDUFA4L2, ANKRD45, and AQP3 genes. Patients with high risk-score had a worse overall survival than the patients with low scores, consistent with the results from the two GEO cohorts. The comprehensive results showed that a higher risk-score was correlated with higher levels of tumor immune exclusion, higher infiltration of M0 macrophages, M2 macrophages, and neutrophils, higher angiogenetic activities, and more enriched epithelial-mesenchymal transition signaling pathways. A higher risk score was correlated to a higher MDD score, elevated MDD-related cytokines, and the dysfunction of neurogenesis-related genes, and parts of these changes showed similar trends in the animal model. With the Genomics of Drug Sensitivity in Cancer database, we found that the gastric adenocarcinoma patients with high risk-score may be sensitive to Pazopanib, XMD8.85, Midostaurin, HG.6.64.1, Elesclomol, Linifanib, AP.24534, Roscovitine, Cytarabine, and Axitinib. The gene signature consisting of the NDUFA4L2, ANKRD45, and AQP3 genes is a promising biomarker to distinguish the prognosis, the molecular and immune characteristics, the depressive risk, and the therapy candidates for gastric adenocarcinoma patients.

Are Methylation Patterns in the KALRN Gene Associated with Cognitive and Depressive Symptoms? Findings from the Moli-sani Cohort.

The KALRN gene (encoding kalirin) has been implicated in several neuropsychiatric and neurodegenerative disorders. However, genetic evidence supporting this implication is limited and targeted epigenetic analyses are lacking. Here, we tested associations between epigenetic variation in KALRN and interindividual variation in depressive symptoms (PHQ9) and cognitive (MoCA) performance, in an Italian population cohort (N = 2409; mean (SD) age: 67 (9) years; 55% women). First, we analyzed the candidate region chr3:124584826-124584886 (hg38), within the KALRN promoter, through pyrosequencing of 1385 samples. Then, we widened the investigated region by analyzing 137 CpGs annotated to the whole gene, rescued from epigenome-wide (Illumina EPIC) data from 1024 independent samples from the same cohort. These were tested through stepwise regression models adjusted for age, sex, circulating leukocytes fractions, education, prevalent health conditions and lifestyles. We observed no statistically significant associations with methylation levels in the three CpGs tested through pyrosequencing, or in the gene-wide association analysis with MoCA score. However, we observed a statistically significant association between PHQ9 and cg13549966 (chr3:124106738; ß (Standard Error) = 0.28 (0.08), Bonferroni-corrected p = 0.025), located close to the transcription start site of the gene. This association was driven by a polychoric factor tagging somatic depressive symptoms (ß (SE) = 0.127 (0.064), p = 0.048). This evidence underscores the importance of studying epigenetic variation within the KALRN gene and the role that it may play in brain diseases, particularly in atypical depression, which is often characterized by somatic symptoms.

Association between maternal perinatal stress and depression and infant DNA methylation in the first year of life.

Maternal stress and depression during pregnancy and the first year of the infant's life affect a large percentage of mothers. Maternal stress and depression have been associated with adverse fetal and childhood outcomes as well as differential child DNA methylation (DNAm). However, the biological mechanisms connecting maternal stress and depression to poor health outcomes in children are still largely unknown. Here we aim to determine whether prenatal stress and depression are associated with differences in cord blood mononuclear cell DNAm (CBMC-DNAm) in newborns (n = 119) and whether postnatal stress and depression are associated with differences in peripheral blood mononuclear cell DNAm (PBMC-DNAm) in children of 12 months of age (n = 113) from the Canadian Healthy Infant Longitudinal Development (CHILD) cohort. Stress was measured using the 10-item Perceived Stress Scale (PSS) and depression was measured using the 20-item Center for Epidemiologic Studies Depression Questionnaire (CESD). Both stress and depression were measured longitudinally at 18 weeks and 36 weeks of pregnancy and six months and 12 months postpartum. We conducted epigenome-wide association studies (EWAS) using robust linear regression followed by a sensitivity analysis in which we bias-adjusted for inflation and unmeasured confounding using the bacon and cate methods. To quantify the cumulative effect of maternal stress and depression, we created composite prenatal and postnatal adversity scores. We identified a significant association between prenatal stress and differential CBMC-DNAm at 8 CpG sites and between prenatal depression and differential CBMC-DNAm at 2 CpG sites. Additionally, we identified a significant association between postnatal stress and differential PBMC-DNAm at 8 CpG sites and between postnatal depression and differential PBMC-DNAm at 11 CpG sites. Using our composite scores, we further identified 2 CpG sites significantly associated with prenatal adversity and 7 CpG sites significantly associated with postnatal adversity. Several of the associated genes, including PLAGL1, HYMAI, BRD2, and ERC2 have been implicated in adverse fetal outcomes and neuropsychiatric disorders. These data further support the finding that differential DNAm may play a role in the relationship between maternal mental health and child health.

Purkinje cell hyperexcitability and depressive-like behavior in mice lacking erg3 (ether-à-go-go-related gene) K+ channel subunits.

Potassium channels stabilize the resting potential and neuronal excitability. Among them, erg (ether-à-go-go-related gene) K+ channels represent a subfamily of voltage-gated channels, consisting of erg1, erg2, and erg3 subunits; however, their subunit-specific neuronal functions in vivo are barely understood. To find erg3- and erg1-mediated functions, we generated global Kcnh7 (erg3) and conditional Kcnh2 (erg1) knockout mice. We found that erg3 channels stabilize the resting potential and dampen spontaneous activity in cerebellar Purkinje cells (PCs) and hippocampal CA1 neurons, whereas erg1 channels have suprathreshold functions. Lack of erg3 subunits induced hyperexcitability with increased action potential firing in PCs, but not in CA1 neurons. Notably, erg3 depletion caused depressive-like behavior with reduced locomotor activity, strongly decreased digging behavior, and shorter latencies to fall off a rotating wheel, while learning and memory remained unchanged. Our data show that erg K+ channels containing erg3 subunits mediate a neuronal subthreshold K+ current that plays important roles in the regulation of locomotor behavior in vivo.

A genome-wide gene-environmental interaction study identified novel loci for the relationship between ambient air pollution exposure and depression, anxiety.

BACKGROUND: Genetic factors and environmental exposures, including air pollution, contribute to the risk of depression and anxiety. While the association between air pollution and depression and anxiety has been established in the UK Biobank, there has been limited research exploring this relationship from a genetic perspective. METHODS: Based on individual genotypic and phenotypic data from a cohort of 104,385 participants in the UK Biobank, a polygenic risk score for depression and anxiety was constructed to explore the joint effects of nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM) with a diameter of ⩽2.5 µm (PM2.5) and 2.5-10 µm (PMcoarse) with depression and anxiety by linear and logistic regression models. Subsequently, a genome-wide gene-environmental interaction study (GWEIS) was performed using PLINK 2.0 to identify the genes interacting with air pollution for depression and anxiety. RESULTS: A substantial risk of depression and anxiety development was detected in participants exposed to the high air pollution concomitantly with high genetic risk. GWEIS identified 166, 23, 18, and 164 significant candidate loci interacting with NO, NO2, PM2.5, and PMcoarse for Patient Health Questionnaire-9 (PHQ-9) score, and detected 44, 10, 10, and 114 candidate loci associated with NO, NO2, PM2.5, and PMcoarse for General Anxiety Disorder (GAD-7) score, respectively. And some significant genes overlapped among four air pollutants, like TSN (rs184699498, PNO2 = 3.47 × 10-9; rs139212326, PPM2.5 = 1.51 × 10-8) and HSP90AB7P(rs150987455, PNO2 = 1.63 × 10-11; rs150987455, PPM2.5 = 7.64 × 10-11), which were common genes affecting PHQ-9 score for both NO2 and PM2.5. CONCLUSION: Our study identified the joint effects of air pollution with genetic susceptibility on the risk of depression and anxiety, and provided several novel candidate genes for the interaction, contributing to an understanding of the genetic architecture of depression and anxiety.

Dissecting shared genetic architecture between depression and body mass index.

BACKGROUND: A growing body of evidence supports the comorbidity between depression (DEP) and obesity, yet the genetic mechanisms underlying this association remain unclear. Our study explored the shared genetic architecture and causal associations of DEP with BMI. METHODS: We investigated the multigene overlap and genetic correlation between DEP (N > 1.3 million) and BMI (N = 806,834) based on genome-wide association studies (GWAS) and using the bivariate causal mixture model and linkage disequilibrium score regression (LDSC). The causal association was explored by bi-directional Mendelian randomization (MR). Common risk loci were identified through cross-trait meta-analyses. Stratified LDSC and multi-marker gene annotation analyses were applied to investigate single-nucleotide polymorphisms enrichment across tissue types, cell types, and functional categories. Finally, we explored shared functional genes by Summary Data-Based Mendelian Randomization (SMR) and further detected differential expression genes (DEG) in brain tissues of individuals with depression and obesity. RESULTS: We found a positive genetic correlation between DEP and BMI (rg = 0.19, P = 4.07 × 10-26), which was more evident in local genomic regions. Cross-trait meta-analyses identified 16 shared genetic loci, 5 of which were newly identified, and they had influence on both diseases in the same direction. MR analysis showed a bidirectional causal association between DEP and BMI, with comparable effect sizes estimated in both directions. Combined with gene expression information, we found that genetic correlations between DEP and BMI were enriched in 6 brain regions, predominantly in the nucleus accumbens and anterior cingulate cortex. Moreover, 6 specific cell types and 23 functional genes were found to have an impact on both DEP and BMI across the brain regions. Of which, NEGR1 was identified as the most significant functional gene and associated with DEP and BMI at the genome-wide significance level (P < 5 × 10-8). Compared with healthy controls, the expression levels of NEGR1 gene were significant lower in brain tissues of individuals with depression and obesity. CONCLUSIONS: Our study reveals shared genetic basis underpinnings between DEP and BMI, including genetic correlations and common genes. These insights offer novel opportunities and avenues for future research into their comorbidities.

Circadian clock dysregulation: a potential mechanism of depression in obstructive sleep apnea patients.

Obstructive sleep apnea (OSA) is characterized by co-occurrence with affective disorders. Our study aims to investigate the association of circadian clock gene expressions, and the presence and severity of depressive symptoms in OSA patients. The study included 184 individuals, who underwent polysomnography (PSG) and had their peripheral blood collected in the evening before and the morning after the PSG. Patients were divided into two groups: the OSA (apnea-hypopnea index (AHI) > 5) and the control group (AHI < 5). RNA was extracted from peripheral blood leukocytes. Expression levels of the selected genes (BMAL1, CLOCK, PER1, CRY1, NPAS2, and NR1D1) were assessed by qRT-PCR. Questionnaire data was collected in the morning (including the Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Chronotype Questionnaire (CQ), and Montgomery-Åsberg Depression Rating Scale (MADRS)). The expression of all examined circadian clock genes in OSA patients was upregulated in the morning compared to the evening (except NPAS2). No differences were observed between OSA and control groups at either time point. Additionally, there was a positive correlation between the severity of depressive symptoms (assessed with MADRS) and morning expression of circadian genes in the group of OSA patients. Finally, in multivariable linear regression, ISI score (B = 0.750, p < 0.001), AM score of CQ (B = 0.416, p = 0.007), and morning PER1 gene expression (B = 4.310, p = 0.042) were found to be predictive factors for greater severity of depression symptoms in OSA patients. Dysregulated circadian clock gene expression in OSA patients is linked to depressive symptom severity, suggesting circadian disruption may underlie affective symptoms in OSA.

Clinical Implication of Time of Ischaemic Stroke Among Post-Stroke Survivors from Eastern India: A Circadian Perspective.

The circadian variation in stroke occurrence is a well-documented phenomenon. However, the circadian effect on stroke outcome, particularly on post-stroke cognition, has not yet been fully elucidated. We aim to evaluate the influence of diurnal variation of stroke onset upon post-stroke cognition and development of post-stroke depression. Based on 4-hourly time period of stroke occurrence, 249 recruited cohorts were categorized into 6 groups. Several clinical and cognitive parameters were compared among the groups. Then, the mRNA expression of core clock genes in Peripheral Blood Mononuclear Cells were quantified and correlated with post-stroke outcomes among 24 acute phase cases with day-time or night-time stroke occurrence. Furthermore, the genetic susceptibility towards a higher number of cases in the morning was examined by genotyping CLOCK (rs1801260T/C, rs4580704G/C) and CRY2 (rs2292912C/G) genes variants in cases and 292 controls. In our study, the peak for highest incidence although observed during the early morning from 4 to 8 am, the nocturnal-onset stroke cases showed more severity (12.2 ± 5.67) at the time of admission irrespective of arterial territory involved. The night onset cases were also found to be more susceptible to develop language impairment and post-stroke depression in due course of time. Upon transcript analysis, circadian genes (BMAL1 and CRY1) were found to be downregulated in night-time cases than day-time ones during the acute phase of onset. In addition, those mRNA levels also showed a correlation with raw scores for language and depression. However, the difference in incidence frequency along a day did not reveal any genetic correlation. Therefore, we suggest night-time stroke to be positively associated with higher immediate severity and poor cognitive outcome than day-time injury and propose downregulation of circadian genes during the acute phase could be the underlying molecular mechanism for this.

Peripartum depression symptom trajectories, telomere length and genotype, and adverse childhood experiences.

BACKGROUND: As a biological marker for cellular senescence, telomere length (TL) has been linked to a variety of psychiatric disorders and adverse childhood experiences (ACE), though only preliminarily to peripartum depression (PPD). The present study sought to examine the association between TL and PPD, assessing the moderating role of ACE and genetic polymorphic variations related with the telomere machinery. METHODS: Adversity was self-reported, likewise were depressive symptoms evaluated at pregnancy week 17 and 32, as well as six-weeks and six-months postpartum. TL was assessed by use of qPCR in blood samples collected during delivery from females with antenatal depression resolving postpartum, females with depression persisting to postpartum, and healthy controls. Twenty haplotype-tagging Single Nucleotide Polymorphisms in the Telomerase Reverse Transcriptase (TERT) and three in the Telomerase RNA Component (TERC) genes were genotyped. RESULTS: TL was negatively correlated with severity of PPD symptoms at pregnancy week 32 and postpartum week 6. PPD was associated with shorter TL. Lastly, ACE, but not the TERT/TERC genotype, moderated the TL-trajectory association; with increasing ACE, individuals with persistent PPD symptoms had shorter TL, whereas the opposite pattern (longer TL) was observed in the controls. CONCLUSIONS: The findings contribute to further understanding of PPD underpinnings, suggesting a negative relationship with TL.

The role of circadian clock gene Arntl in the winter depression-like behavior in melatonin-proficient female CBA/N mice.

Seasonal affective disorder (SAD), also known as winter depression, is a subtype of depression typically manifesting in winter. Typical symptoms of SAD, such as an increased need for sleep and carbohydrate cravings associated with increased appetite and weight, are distinct from those of major depression, and the underlying mechanisms of SAD remain unclear. Although laboratory mice are generally considered non-seasonal animals, we observed depression-like behaviors in melatonin-proficient female CBA/N mice maintained under winter-mimicking conditions. Transcriptome analysis of the brains of CBA/N mice maintained under winter- and summer-mimicking conditions revealed changes in the expression of circadian clock genes, including Arntl (also known as Bmal1). We generated Arntl-deficient, melatonin-proficient CBA/N mice using the speed congenic method to examine the role of Arntl in depressive behavior. The tail suspension test in these mice revealed a depressive phenotype. These results suggested that the circadian clock gene Arntl may be involved in winter depression-like behavior.

Measurement invariance of the Center for Epidemiological Studies-Depression scale and associations with genetic risk in older adults.

BACKGROUND: As populations are aging, it needs to be ensured that valid depression rating scales are available across old adulthood. Center for Epidemiological Studies-Depression scale (CES-D) is a common depression rating scale, however, few studies have assessed its validity in individuals with age over 90 and/or cognitive impairment. We examined the factor structures of 20-, 15-, and 8-item CES-D scales, their measurement invariance for age and cognition, and associations with genetic risk of depression. METHODS: Participants were from a population-based older Finnish Twin Cohort study including 71-79-year-olds from the MEMTWIN II (n = 1034 for exploratory and n = 664 for confirmatory factor analyses) and 90+ year-olds from the NONAGINTA (n = 134, confirmatory factor analyses) sub-studies. Associations of polygenic risk score of major depressive disorder (MDD-PRS) with CES-D scales were examined in MEMTWIN II. RESULTS: Exploratory factor analyses (n = 1034) suggested four- (CES-D 20) and three-factor (CES-D 8) structures and these models fit well in confirmatory analyses (n = 664). Unidimensional models had good (CES-D 15 & 20) or fair fit (CES-D 8). Results supported scalar invariance of all CES-D versions for age and cognitive status. Higher MDD-PRS was associated with more depressive symptoms in different CES-D versions. CONCLUSIONS: Different CES-D versions are adequate for measuring depressive symptoms across age groups and cognitive spectrum in old age. Genetic risk of depression predicts depressive symptoms even in old age.

Frailty increases depression risk independently of cognitive decline: Insights from Mendelian randomization and cross-sectional analysis.

BACKGROUND: Frailty, cognitive decline, and depression are common syndromes among the elderly and are closely interconnected. However, it is still unclear whether the impact of frailty on depression depends on the role of cognitive decline. METHOD: We conducted the Mendelian randomization (MR) analysis based on the instrumental variables (IVs) from the genome-wide association study (GWAS) databases, and we also performed a cross-sectional study consisting of 1362 older adults aged ≥65 for validation. RESULTS: The results of the multivariable MR analysis showed that frailty significantly increased the risk of depression, even after controlling for the influence of cognitive performance. Conversely, after controlling for frailty, the effect of cognitive performance on depression risk was noticeably reduced. In the cross-sectional study, frailty mediated 24.04 % of the relationship between cognition and depression, and cognition mediated 7.63 % of the relationship between frailty and depression. CONCLUSIONS: We provide evidence that frailty could increase depression risk independently of cognitive decline. Further research with a larger sample size is necessary.

Relationships between heart failure, depression, and anxiety: A Mendelian randomization study.

Growing evidence suggests that heart failure (HF) is associated with an increased risk of depressive disorders and anxiety. However, the existing studies were observational and may have confounded and not reflected true causal relationships. This study collected genetic instruments about HF, depression, and anxiety from publicly available genetic summary data. Two-sample Mendelian randomization (MR) analysis was performed, with inverse-variance weighted designated as the primary approach for determining causal effects. Secondary analyses included MR-Egger regression and the weighted media method. Additionally, we conducted MR pleiotropy residual sum and outlier to address horizontal pleiotropy. Cochran Q test, MR-Egger intercept test, and leave-one-out analysis were used to assess the robustness of the findings. The significance is determined by a P-value below .05. Gene prediction result revealed that HF did not exhibit a significant association with elevated incidence of depression by inverse-variance weighted method no matter HF from the Heart Failure Molecular Epidemiology for Therapeutic Targets Consortium (odds ratio [OR] = 1.05, 95% confidence interval [CI] = 0.93-1.18, P = .424 for major depressive disorder, MDD; OR = 1.01, 95% CI = 0.94-1.09, P = .782 for major depression) or the FinnGen Consortium (OR = 1.03, 95% CI = 0.92-1.15, P = .644 for MDD; OR = 1.00, 95% CI = 0.94-1.07, P = .962 for major depression). In contrast, the results of HF on anxiety exhibited inconsistency (OR = 1.60, 95% CI = 1.10-2.31, P = .013 for Heart Failure Molecular Epidemiology for Therapeutic Targets Consortium; OR = 1.42, 95% CI = 0.91-2.21, P = .123 for FinnGen Consortium); however, a combined effect analysis indicated support causal relationship between HF and the risk of anxiety (OR = 1.52, 95% CI = 1.07-2.00, P < .001). Our findings did not reveal evidence to confirm a causal association between HF and depression. However, our results provide support for a causal effect of HF on the risk of anxiety.

New Evidence for the Role of the Blood-Brain Barrier and Inflammation in Stress-Associated Depression: A Gene-Environment Analysis Covering 19,296 Genes in 109,360 Humans.

Mounting evidence supports the key role of the disrupted integrity of the blood-brain barrier (BBB) in stress- and inflammation-associated depression. We assumed that variations in genes regulating the expression and coding proteins constructing and maintaining this barrier, along with those involved in inflammation, have a predisposing or protecting role in the development of depressive symptoms after experiencing severe stress. To prove this, genome-by-environment (GxE) interaction analyses were conducted on 6.26 M SNPS covering 19,296 genes on PHQ9 depression in interaction with adult traumatic events scores in the UK Biobank (n = 109,360) in a hypothesis-free setup. Among the 63 genes that were significant in stress-connected depression, 17 were associated with BBB, 23 with inflammatory processes, and 4 with neuroticism. Compared to all genes, the enrichment of significant BBB-associated hits was 3.82, and those of inflammation-associated hits were 1.59. Besides some sex differences, CSMD1 and PTPRD, encoding proteins taking part in BBB integrity, were the most significant hits in both males and females. In conclusion, the identified risk genes and their encoded proteins could provide biomarkers or new drug targets to promote BBB integrity and thus prevent or decrease stress- and inflammation-associated depressive symptoms, and possibly infection, e.g., COVID-19-associated mental and neurological symptoms.

[Effect of acupuncture on AMPK/ULK1 signaling pathway of hippocampus in chronic stress-induced depression rats]. / é’ˆåˆºå¯¹æ ¢æ€§åº”æ¿€æŠ‘éƒå¤§é¼ æµ·é©¬AMPK/ULK1信号通路和自噬的影响.

OBJECTIVES: To observe the effect of manual acupuncture stimulation on changes of behavior and hippocampal signaling pathways of AMP-activated kinase (AMPK)/UNC-51-like kinase 1 (ULK1) in rats with chronic unpredictable mild stress (CUMS)-induced depression, so as to explore its molecular mechanism underlying improvement of depression. METHODS: Thirty-two male SD rats were randomly divided into normal control, model, acupuncture and medication (fluoxetine) groups, with 8 rats in each group. The depression model was established by using CUMS (fasting, water depredation, restraint, swimming in cold water, crowding, stroboscope stimulation, and tail clipping, each of which was used once a week) for 6 weeks. Manual acupuncture stimulation was applied to "Baihui"(GV20) and "Yintang"(EX-HN3) for 10 min, once daily, 6 times a week for 6 weeks before every-day modeling. Rats of the medication group received gavage of fluoxetine (10 mg/kg) once a day for 6 weeks before every-day modeling. The percentage of sucrose preference, and the percentages of open arm times and open arm time in the elevated plus maze experiments were detected. The expression levels of AMPK, phosphorylated (p)-AMPK, ULK1, p-ULK1, mammalian target of rapamycin (mTOR) and p-mTOR proteins in the hippocampus tissue were detected by Western blot, and the expression of autophagy effecting protein (Beclin-1) and the selective autophagy receptors (p62) mRNA in the hippocampal tissue was detected using real-time fluorescence quantitative PCR, respectively. RESULTS: Compared with the normal group, the percentage of sucrose preference, percentage of times of entering the open arm and percentage of open arm time, the expression levels of p-AMPK /AMPK ratio, p-ULK1 /ULK1 ratio of proteins, and Beclin-1 mRNA were significantly decreased (P<0.01, P<0.05), and the expression levels of p-mTOR /mTOR ratio and p62 mRNA were significantly increased (P<0.01, P<0.05) in the model group. In comparison with the model group, the percentage of sucrose preference, percentage of open arm times and open arm time, the expression levels of p-AMPK /AMPK ratio, p-ULK1/ULK1 ratio of proteins, and Beclin-1 mRNA were significantly increased in both acupuncture and medication groups (P<0.01, P<0.05), while the expression levels of p-mTOR /mTOR ratio of proteins, and p62 mRNA were markedly decreased only in the medication group (P<0.05). CONCLUSIONS: Acupuncture treatment can alleviate depression-like behavior in CUMS rats, which may be related to its functions in up-regulating AMPK/ULK1 signaling pathway to induce cellular autophagy in the hippocampus.

[Research progress on the mechanism of acupuncture on depression based on signaling pathway regulation]. / é’ˆåˆºè°ƒæŽ§ä¸åŒä¿¡å·é€šè·¯æ”¹å–„æŠ‘éƒç—‡çš„ç ”ç©¶è¿›å±•.

Depression is high in prevalence rate, recurrence rate and disability rate. Acupuncture is effective on depression. The paper reviewed the regulatory effect of acupuncture on five prominent signaling pathways, i.e. mitogen activated protein kinase (MAPK), Wnt/ß-catenin, Notch, adenyl ate cyclase/cyclic adenosine phosphate/protein kinase (AC/cAMP/PKA) and NO/cyclic guanosine monophosphate (cGMP)； and elaborated the structure of each signaling pathway, the association with depression onset, and the relevant research progress of acupuncture in treatment of depression. In view of the regulation of signal pathways, acupuncture can up-regulate AC/cAMP/PKA and extracellular signal-regulated kinase (ERK), promote the expression of neurotrophic factors or Bcl-2, prevent from and repair neuronal damage, advance neurogenesis and improve synaptic plasticity； it can modulate the Wnt/ß-catenin and Notch signal pathways to protect neurons and increase cell proliferation； and down-regulate JNK and up-regulate NO/cGMP signal pathways to inhibit stress that leads to abnormal apoptosis of neurosis and attenuate neurotoxicity and neuronal damage so that anti-depression of acupuncture is obtained. This review provides a new approach to the mechanism research of acupuncture in treatment of depression through regulating the relevant single pathways.

The interplay of serotonin 5-HT1A and 5-HT7 receptors in chronic stress.

Serotonin regulates multiple physiological and pathological processes in the brain, including mood and cognition. The serotonin receptors 5-HT1AR (also known as HTR1A) and 5-HT7R (also known as HTR7) have emerged as key players in stress-related disorders, particularly depression. These receptors can form heterodimers, which influence their functions. Here, we explored the developmental dynamics of 5-HT1AR and 5-HT7R expression and validated heterodimerization levels in the brain of control and stressed mice. In control animals, we found that there was an increase in 5-HT1AR expression over 5-HT7R in the prefrontal cortex (PFC) and hippocampus during development. Using a chronic unpredictable stress as a depression model, we found an increase in 5-HT7R expression exclusively in the PFC of resilient animals, whereas no changes in 5-HT1AR expression between control and anhedonic mice were obtained. Quantitative in situ analysis of heterodimerization revealed the PFC as the region exhibiting the highest abundance of 5-HT1AR-5-HT7R heterodimers. More importantly, upon chronic stress, the amount of heterodimers was significantly reduced only in PFC of anhedonic mice, whereas it was not affected in resilient animals. These results suggest an important role of brain-region-specific 5-HT1AR-5-HT7R heterodimerization for establishing depressive-like behaviour and for development of resiliency.

Non-motor symptoms of Parkinson`s disease-insights from genetics.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by both motor and non-motor symptoms (NMS). NMS including sleep disturbances, depression, anxiety, and constipation are diverse, can precede motor symptoms, and significantly impact patients` quality of life. The severity and type of NMS vary based on age, disease severity, and motor symptoms, and while some respond to dopaminergic treatments, others may be induced or exacerbated by such treatments. NMS also play a role in differentiating PD from drug-induced parkinsonism and are related to gait dysfunction in both early and advanced stages. Genetic factors play a significant role in the development of NMS in PD, with mutations in genes such as SNCA, LRRK2, PRKN, and GBA being associated with severe and early NMS. Familial studies and identification of susceptibility factors have provided insights into the genetic underpinnings of NMS in PD. Neurobehavioral changes, including cognitive decline, are common NMS in PD, and their genetic basis involves a spectrum of mutations shared with other neurodegenerative disorders. Further research is needed to elucidate the functional implications of these genetic factors and their contributions to the pathogenesis of NMS in PD.

Association of cardiometabolic multimorbidity with risk of late-life depression: a nationwide twin study.

BACKGROUND: Cardiometabolic diseases (CMDs) including heart disease, stroke, and type 2 diabetes have been individually linked to depression. However, their combined impact on depression risk is unclear. We aimed to examine the association between cardiometabolic multimorbidity and depression and explore the role of genetic background in this association. METHODS: Within the Swedish Twin Registry, 40,080 depression-free individuals (mean age 60 years) were followed for 18 years. Cardiometabolic multimorbidity was defined as having ≥2 CMDs. CMDs and depression were ascertained based on the National Patient Register. Cox regression was used to estimate the CMD-depression association in a classical cohort study design and a matched co-twin design involving 176 twin pairs. By comparing the associations between monozygotic and dizygotic co-twins, the contribution of genetic background was estimated. RESULTS: At baseline, 4809 (12.0%) participants had one CMD and 969 (2.4%) had ≥2 CMDs. Over the follow-up period, 1361 participants developed depression. In the classical cohort design, the multi-adjusted hazard ratios (95% confidence interval [CIs]) of depression were 1.52 (1.31-1.76) for those with one CMD and 1.83 (1.29-2.58) for those with ≥2 CMDs. CMDs had a greater risk effect on depression if they developed in mid-life (<60 years) as opposed to late life (≥60 years). In matched co-twin analysis, the CMD-depression association was significant among dizygotic twins (HR = 1.63, 95% CI, 1.02-2.59) but not monozygotic twins (HR = 0.90, 95% CI, 0.32-2.51). CONCLUSIONS: Cardiometabolic multimorbidity is associated with an elevated risk of depression. Genetic factors may contribute to the association between CMDs and depression.

Genetic association of cholesterol metabolism with the risk of depression and schizophrenia.

OBJECTIVE: Some observational studies have unexpectedly reported the association of cholesterol metabolism with mental and psychological disorders, but a firm conclusion has not been drawn. The aim of this study was to further investigate the effects of peripheral cholesterol traits and cholesterol-lowering therapy on depression and schizophrenia using a Mendelian randomisation approach. METHODS: Instrumental variables meeting the correlation, independence and exclusivity assumptions were extracted from one genome-wide association study for predicting total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and nonHDL cholesterol. Instrumental variables for total cholesterol and LDL cholesterol were also adopted to predict statin use (a type of cholesterol-lowering drug); these instrumental variables should not only satisfy the above assumptions but also be close to 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR, the target gene of statins) on the chromosome. Three methods (including inverse variance weighted) were used to conduct causal inference of the above exposures with depression and schizophrenia. Sensitivity analyses were performed to assess horizontal pleiotropy. RESULTS: Higher levels of peripheral nonHDL cholesterol were nominally associated with a decreased risk of depression (P = 0.039), and higher levels of HMGCR-mediated total cholesterol and LDL cholesterol were nominally related to a decreased risk of depression (P = 0.013 and P = 0.028, respectively). Moreover, these cholesterol traits cannot affect the risk of schizophrenia. Sensitivity analysis did not reveal any horizontal pleiotropy. CONCLUSION: The study provided some interesting, but less sufficient, evidence that nonHDL cholesterol may have a protective effect on depression, and lowering cholesterol using statins might increase the risk of the disease.