The changes of neurogenesis in the hippocampal dentate gyrus of SAMP8 mice and the effects of acupuncture and moxibustion.

BACKGROUND: Influenced by the global aging population, the incidence of Alzheimer's disease (AD) has increased sharply. In addition to increasing ß-amyloid plaque deposition and tau tangle formation, neurogenesis dysfunction has recently been observed in AD. Therefore, promoting regeneration to improve neurogenesis and cognitive dysfunction can play an effective role in AD treatment. Acupuncture and moxibustion have been widely used in the clinical treatment of neurodegenerative diseases because of their outstanding advantages such as early, functional, and benign two-way adjustment. It is urgent to clarify the effectiveness, greenness, and safety of acupuncture and moxibustion in promoting neurogenesis in AD treatment. METHODS: Senescence-accelerated mouse prone 8 (SAMP8) mice at various ages were used as experimental models to simulate the pathology and behaviors of AD mice. Behavioral experiments, immunohistochemistry, Western blot, and immunofluorescence experiments were used for comparison between different groups. RESULTS: Acupuncture and moxibustion could increase the number of PCNA+ DCX+ cells, Nissl bodies, and mature neurons in the hippocampal Dentate gyrus (DG) of SAMP8 mice, restore the hippocampal neurogenesis, delay the AD-related pathological presentation, and improve the learning and memory abilities of SAMP8 mice. CONCLUSION: The pathological process underlying AD and cognitive impairment were changed positively by improving the dysfunction of neurogenesis. This indicates the promising role of acupuncture and moxibustion in the prevention and treatment of AD.

IL-1ra treatment prevents chronic social defeat stress-induced depression-like behaviors and glutamatergic dysfunction via the upregulation of CREB-BDNF.

BACKGROUND: Proinflammatory cytokines IL-1ß has been proposed to be a key mediator in the pathophysiology of mood-related disorders. However, the IL-1 receptor antagonist (IL-1ra) is a natural antagonist of IL-1 and plays a key role in the regulation of IL-1-mediated inflammation, the effects of IL-1ra in stress-induced depression has not been well elucidated. METHODS: Chronic social defeat stress (CSDS) and lipopolysaccharide (LPS) were used to investigate the effects of IL-1ra. ELISA kit and qPCR were used to detect IL-1ra levels. Golgi staining and electrophysiological recordings were used to investigate glutamatergic neurotransmission in the hippocampus. Immunofluorescence and western blotting were used to analyze CREB-BDNF pathway and synaptic proteins. RESULTS: Serum levels of IL-1ra increased significantly in two animal models of depression, and there was a significant correlation between serum IL-1ra levels and depression-like behaviors. Both CSDS and LPS induced the imbalance of IL-1ra and IL-1ß in the hippocampus. Furthermore, chronic intracerebroventricular (i.c.v.) infusion of IL-1ra not only blocked CSDS-induced depression-like behaviors, but also alleviated CSDS-induced decrease in dendritic spine density and impairments in AMPARs-mediated neurotransmission. Finally, IL-1ra treatment produces antidepressant-like effects through the activation of CREB-BDNF in the hippocampus. LIMITATION: Further studies need to investigate the effect of IL-1ra in the periphery in CSDS-induced depression. CONCLUSION: Our study suggests that the imbalance of IL-1ra and IL-1ß reduces the expression of the CREB-BDNF pathway in the hippocampus, which dysregulates AMPARs-mediated neurotransmission, ultimately leading to depression-like behaviors. IL-1ra could be a new potential candidate for the treatment of mood disorders.

Integrative Analysis of DNA Methylation and Gene Expression Data Identifies Potential Biomarkers and Functional Epigenetic Modules for SARS-CoV-2.

To integrate gene expression and DNA methylation data and find the potential role of DNA methylation in the invasion and replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We first conducted differential expression and methylation analysis between the coronavirus disease of 2019 (COVID-19) and healthy controls. FEM was employed to identify functional epigenetic modules, from which a diagnostic model for COVID-19 was built. SKA1 and WSB1 modules were identified, with SKA1 module enriched in COVID-19 replication and transcription, and WSB1 module related to ubiquitin-protein activity. The differentially expressed or differentially methylated genes in these two modules could be used to distinguish COVID-19 from healthy controls, with AUC reaching 1 and 0.98 for SKA1 and WSB1 modules, respectively. Two epigenetically activated genes (CENPM and KNL1) from the SKA1 module were upregulated in HPV- or HBV-positive tumor samples and were found to be significantly associated with the survival of tumor patients. In conclusion, the identified FEM modules and potential signatures play an essential role in the replication and transcription of coronavirus.

The protective effect of luteolin on the depression-related dry eye disorder through Sirt1/NF-κB/NLRP3 pathway.

Luteolin has been reported to exhibit therapeutic effect on depressive-like behaviors in mice. Nevertheless, the therapeutic effect of luteolin on the depression-related dry eye disorder remains inconclusive. In this study, C57 mice were subjected to chronic unpredictable mild stress in a dry environment (relative humidity in the cage <40%). The behavioral test and phenol red cotton thread test were employed to select the mice with both dry eye and depression-like behavior. The mechanism of luteolin on depression-related dry eye disorder was assessed by the Sirt1 selective inhibitor EX-527. Luteolin alleviated depressive-like behaviors induced by CUMS, increased tear secretion and restored corneal defects in mice. The secretions of pro-inflammatory factors IL-1ß, IL-6, IL-18 and TNF-α were decreased in hippocampi and corneal tissues by Luteolin treatment. Luteolin treatment up-regulated Sirt1 expression and down-regulated Ac-NF-κB, NLRP3, Ac-Caspase-1, GSDMD-N, Cleaved IL-1ß, and Cleaved IL-18 expressions. In addition, the selective inhibition of Sirt1 could weaken the therapeutic effect of luteolin on depression-related dry eye disorder. The beneficial effect of luteolin through Sirt1/NF-κB/NLRP3 signaling pathway might be a therapeutic strategy for the depression-related dry eye disorder.

Corrigendum: Gut microbiota: Linking nutrition and perinatal depression.

[This corrects the article DOI: 10.3389/fcimb.2022.932309.].

Proteomic analysis of rat colonic mucosa following acupuncture treatment for irritable bowel syndrome with diarrhea.

To investigate the molecular pathological mechanisms of irritable bowel syndrome with diarrhea (IBS-D) and elucidate the effects of acupuncture on IBS-D colonic mucosa protein abundance in rats, a label-free high-throughput liquid chromatography-tandem mass spectrometry (LC-MS)-based proteomics analysis was used to survey the global changes of colonic mucosa proteins between different groups. Sixteen Sprague-Dawley (SD) male rats were randomly divided into four groups: the control group (C); the IBS-D model group (M); the syndrome differentiation acupuncture group (SD) and the traditional acupuncture group (T). IBS-D model rats were obtained using the CAS (chronic acute combining stress model) method. Comparative bioinformatics analysis of the proteomic data was analyzed using MaxQuant software, Perseus software, online tools DAVID, VENNY and STRING. Functional enrichment and network analyses revealed a close relationship between IBS-D and several biological processes including energy metabolism, muscular excitation/contraction, and both traditional acupuncture and syndrome differentiation acupuncture can reverse the impairments of normal energy metabolism. Moreover, the syndrome differentiation acupuncture can regulate the protein cluster relating inflammation, wound repair and cell protection against oxidative stress which is associated with acupuncture analgesic effect. Differentially expressed proteins Atp5a1 and Bpnt1 were selected as representative proteins and subjected to western blotting. In conclusion, our study provides further insight into the pathological and molecular mechanisms of IBS-D and acupuncture treatments, and serves as an experimental basis for clinical applications.

Gut microbiota: Linking nutrition and perinatal depression.

Perinatal depression is a mood disorder that is reported in women during pregnancy (prenatal) and after childbirth (postnatal). The onset of perinatal depression is associated with changes in reproductive hormones, stress hormones and neurosteroids. These chemical compounds can be modulated by the gut microbiota, which may affect maternal mental health during the perinatal period via the gut-brain-axis. Recent studies suggest that nutritional and dietary interventions (vitamin D, ω-3 fatty acids, iron, and fiber) effectively prevent or mitigate maternal depression and anxiety, but their efficacy is confounded by various factors, including the gut microbiota. Probiotics are efficacious in maintaining microbiota homeostasis, and thus, have the potential to modulate the development of perinatal mood disorders, despite no evidence in human. Therefore, clinical trials are warranted to investigate the role of probiotic supplementation in perinatal depression and behavioral changes. This article reviews the interplay between nutrition, gut microbiota and mood and cognition, and the evidence suggesting that probiotics affect the onset and development of perinatal depression.

Sleep Misperception and Associated Factors in Patients With Anxiety-Related Disorders and Complaint of Insomnia: A Retrospective Study.

Purpose: Data on sleep parameters by polysomnography (PSG) in patients with anxiety-related disorders are limited. Although the disturbance and risk factors of sleep misperception have been implicated in psychopathology, its role in anxiety-related disorders remains unclear. This retrospective study aimed to explore the characteristics and sleep parameters in patients with anxiety-related disorders and different sleep perception types, and to explore the associated factors for sleep misperception. Methods: Patients with anxiety-related disorders who had complaint of insomnia for more than 3 months were collected at Wuhan Mental Health Center between December 2019 and July 2021. Patients underwent a two-night PSG monitoring and completed a self-reported sleep questionnaire. Behaviors were assessed using 30-item Nurses' Observation Scale for Inpatient Evaluation (NOSIE-30). Patients were divided into normal sleep perception (NSP), positive sleep perception abnormality [PSPA; overestimation of total sleep time (TST) >60 min], and negative sleep perception abnormality (NSPA; underestimation of TST >60 min) groups. PSG indicators and NOSIE-30 scores were compared among groups using the one-way analysis of variance and the Kruskal-Wallis test. Multiple linear regression analysis was performed to determine the associated factors for misperception index. Results: The subjective and objective TST were 5.5 ± 1.9 h and 6.4 ± 1.7 h in 305 patients, respectively. Sixty-nine (22.6%) had PSPA, 80 (26.2%) had NSP, and 156 (51.1%) had NSPA. Subjective TST and objective sleep parameters were significantly different among groups. No statistical differences in NOSIE-30 subscale and total scores were observed among groups. Sex, rapid eye movement (REM)/TST (%), sleep efficiency, number of awakenings, Non-rapid eye movement of stage 2 sleep (NREM)/TST (%), REM spontaneous arousal times, sleep latency, diagnosis, social competence, and manifest psychosis were associated with sleep misperception. Conclusion: Sleep misperception is common in patients with anxiety-related disorders. Various sleep perception types have different PSG profiles, but similar personal and social behaviors. These data may be helpful to conduct personalized treatment.

The Specific Roles of Loss of Interest and Loss of Pleasure in Recent Suicidal Ideation.

BACKGROUND: Evidence suggests that recent changes in anhedonia may be more predictive of suicidal ideation than either state or trait anhedonia alone. However, the individual role that anhedonia symptoms play in suicidality is not yet well established. METHODS: This study investigated whether state, trait, and recent changes in anhedonia predicted recent suicidal ideation, using cross-sectional data from two independent samples, one non-clinical (n = 2,138) and one clinical (n = 859), using binary logistic regression analyses. RESULTS: In Study 1, loss of interest in people and loss of pleasure were associated with recent suicidal ideation independent of other depression symptoms, state and trait anhedonia. In Study 2, loss of interest in people, loss of interest in sex, and work inhibition were associated with recent suicidal ideation. In both studies, recent changes in anhedonia was uniquely associated with recent suicidal ideation. CONCLUSIONS: These results indicate that recent changes in anhedonia and particularly the social aspect of the Loss of Interest in People item could be a significant risk factor in suicidal ideation.

Measuring depression severity based on facial expression and body movement using deep convolutional neural network.

Introduction: Real-time evaluations of the severity of depressive symptoms are of great significance for the diagnosis and treatment of patients with major depressive disorder (MDD). In clinical practice, the evaluation approaches are mainly based on psychological scales and doctor-patient interviews, which are time-consuming and labor-intensive. Also, the accuracy of results mainly depends on the subjective judgment of the clinician. With the development of artificial intelligence (AI) technology, more and more machine learning methods are used to diagnose depression by appearance characteristics. Most of the previous research focused on the study of single-modal data; however, in recent years, many studies have shown that multi-modal data has better prediction performance than single-modal data. This study aimed to develop a measurement of depression severity from expression and action features and to assess its validity among the patients with MDD. Methods: We proposed a multi-modal deep convolutional neural network (CNN) to evaluate the severity of depressive symptoms in real-time, which was based on the detection of patients' facial expression and body movement from videos captured by ordinary cameras. We established behavioral depression degree (BDD) metrics, which combines expression entropy and action entropy to measure the depression severity of MDD patients. Results: We found that the information extracted from different modes, when integrated in appropriate proportions, can significantly improve the accuracy of the evaluation, which has not been reported in previous studies. This method presented an over 74% Pearson similarity between BDD and self-rating depression scale (SDS), self-rating anxiety scale (SAS), and Hamilton depression scale (HAMD). In addition, we tracked and evaluated the changes of BDD in patients at different stages of a course of treatment and the results obtained were in agreement with the evaluation from the scales. Discussion: The BDD can effectively measure the current state of patients' depression and its changing trend according to the patient's expression and action features. Our model may provide an automatic auxiliary tool for the diagnosis and treatment of MDD.

Oral Microbiota Profile of Individuals Who Abuse Methamphetamine.

The poor oral health condition of individuals who abuse methamphetamine (MA) is well known. The roles of the oral and fecal microbiomes in addiction and nervous system diseases have been the focus of many studies. However, changes in the microbiota composition of MA users have not been reported. This was addressed in the present study in 20 MA users and 14 sex-matched healthy subjects. Saliva samples were collected and high-throughput 16S rRNA sequencing and bioinformatic analysis were performed to evaluate oral microbiome profiles. The results showed that species richness was significantly lower in the MA group than in the control group. Bacterial taxa that are known to be related to oral diseases such as Negativicutes, Veillonellaceae, Veillonella, and Selenomonadales had higher relative abundance in the MA group than in the control group, and the relative abundance of Prevotella melaninogenica-a putative etiologic agent of periodontal disease-was also higher. Avoiding MA use and improving oral hygiene practices over a short term (i.e., during hospitalization for 2 weeks) did not alter the oral microbiota composition of MA users. Although the causal relationship between changes in oral microbiome profile and MA abuse remains to be determined, our results suggest that oral disease prevention and treatment strategies are important for MA users.

Altered fecal microbiota composition in individuals who abuse methamphetamine.

As a severe public health problem, methamphetamine (METH) abuse places a heavy burden on families and society. A growing amount of evidence has indicated communication between gut microbiota and the CNS in drug addiction, with associations to neural, endocrine and immune pathways. Thus, we searched for alterations in the gut microbiota and their potential effects in METH users through 16S rRNA gene sequencing. A decreased Shannon index indicated lower bacterial diversity in the METH users than in the age-matched control group. The gut microbial community composition in the METH users was also altered, including reductions in Deltaproteobacteria and Bacteroidaceae abundances and increases in Sphingomonadales, Xanthomonadales, Romboutsia and Lachnospiraceae abundances. Moreover, the Fusobacteria abundance was correlated with the duration of METH use. Enterobacteriaceae, Ruminococcaceae, Bacteroides, and Faecalibacterium had statistically significant correlations with items related to the positive and negative symptoms of schizophrenia and to general psychopathology in the METH users, and all have previously been reported to be altered in individuals with psychotic syndromes, especially depression. Abstraction, one of the items of the cognitive assessment, was positively related to Blautia. These findings revealed alterations in the gut microbiota of METH users, and these alterations may play a role in psychotic syndrome and cognitive impairment. Although the mechanisms behind the links between these disorders and METH abuse are unknown, the relationships may indicate similarities in the pathogenesis of psychosis induced by METH abuse and other causes, providing a new paradigm for addiction and METH use disorder treatment.

Diagnostic and Prognostic Significance of Keap1 mRNA Expression for Lung Cancer Based on Microarray and Clinical Information from Oncomine Database.

We performed a bioinformatics analysis with validation by multiple databases, aiming to evaluate the diagnostic and prognostic value of Kelch-like ECH-associated protein 1 (Keap1) mRNA for lung cancer, and to explore possible mechanisms. Diagnostic performance of Keap1 mRNA was determined by receiver operating characteristic (ROC) curve analysis. Prognostic implication of Keap1 mRNA was estimated by Kaplan-Meier survival analysis. Co-expressed genes with both Keap1 and Nfe2L2 were identified by LinkedOmics. Mechanisms of Keap1-Nfe2L2-co-expressed genes underlying the pathogenesis of lung cancer were explored by function enrichment and pathway analysis. The ROC curve analysis determined a good diagnostic performance of Keap1 mRNA for lung squamous cell carcinoma (LUSC), with an area under the ROC curve (AUC) of 0.833, sensitivity of 72.7%, and specificity of 90.6% (P<0.001). Multivariate Cox regression recognized high Keap1 mRNA to be an independent risk factor of mortality for overall lung cancer [hazard ratio (HR): 11.034, P=0.044], but an independent antagonistic factor for lung adenocarcinoma (LUAD) (HR: 0.404, P<0.001). Validation by UALCAN and GEPIA supported Oncomine findings regarding the diagnostic value of Keap1 mRNA for LUSC, but denied its prognostic value. After screening, we identified 17 co-expressed genes with both Keap1 and Nfe2L2 for LUAD, and 22 for LUSC, mainly enriched in signaling pathway of oxidative stress-induced gene expression via Nrf2. In conclusion, Keap1 mRNA has a good diagnostic performance, but controversial prognostic efficacy for LUSC. The pathogenesis of lung cancer is associated with Keap1-Nfe2L2-co-expressed genes by signaling pathway of oxidative stress-induced gene expression via Nrf2.

Tetramethylpyrazine Alleviates Behavioral and Psychological Symptoms of Dementia Through Facilitating Hippocampal Synaptic Plasticity in Rats With Chronic Cerebral Hypoperfusion.

Behavioral and psychological symptoms of dementia (BPSD) ubiquitously disturb all patients with dementia at some point in the disease course. Although a plethora of non-pharmacological and pharmacological methods targeting the relief BPSD have been developed, the therapeutic effect is still far from ideal. Here, a rat BPSD model combining the physiological changes with mental insults was successfully established. Meanwhile, our results indicated that TMP attenuated anxious behavior using an elevated plus maze (EPM) test, ameliorated recognitive ability and sociability through a novel object recognition test (NORT) and social interaction test (SIT), and improved learning and memory impairments via a Barnes maze in rats with bilateral common carotid arteries occlusion (BCCAO) plus chronic restraint stress (CRS). Given that hippocampus chronic cerebral hypoperfusion (CCH) always causes damage to the hippocampus, and the majority of cognitive impairments, behaviors, and stress responses are associated with pathology in the hippocampus including anxiety and depression, we paid attention to investigate the role of the hippocampus in BPSD. Our results indicated that Tetramethylpyrazine (TMP) attenuated anxiety and ameliorated recognitive ability, sociability, learning, and memory impairments due to alleviating dendritic and spine deficits, and upregulating the expression of synapse-related proteins (including PSD95, SYN, GAP43, SYP) in the hippocampus. We also found that the underlying mechanism was that TMP could activate the TrkB/ERK/CREB signaling pathway to promote synaptic remodeling in vivo and in vitro. Mechanically, the present study enlarges the therapeutic scope of TMP in neurodegenerative disorders and provides basic knowledge and feasible candidates for treating BPSD, particularly for vascular dementia.

Motivational differences in unipolar and bipolar depression, manic bipolar, acute and stable phase schizophrenia.

BACKGROUND: Motivational anhedonia has been observed in patients with a wide range of mental disorders. However, the similarity and uniqueness of this deficit across diagnostic groups has not been thoroughly investigated. METHOD: The study compared motivational deficits in 37 patients with major depressive disorder (MDD), 32 with bipolar depression, 33 with manic bipolar disorder (BD), 30 with acute phase and 33 with stable phase schizophrenia, as well as 47 healthy controls. Participants were administered the Effort-Expenditure for Reward Task which measures allocation of effort between a high-effort and a low-effort task for monetary rewards at varying magnitudes and probabilities. RESULTS: Compared with healthy controls, BD manic, acute and stable phase schizophrenia patients were significantly less likely to choose the high-effort task in the high reward magnitude condition. BD manic and acute phase schizophrenia patients were significantly less likely to choose the high-effort task in the high probability condition. Acute and stable phase schizophrenia patients made less effort in the high estimated value condition. Bipolar manic patients made excessive effort in low estimated value but less effort in high estimated value. Contrary to expectations, both the unipolar and bipolar depression patients did not differ significantly from healthy controls in reward magnitude, probability, and estimated value conditions. Anhedonia and negative symptoms were associated with fewer high-effort task choices in schizophrenia patients. CONCLUSION: Motivation anhedonia showed distinct patterns across psychiatric patients: acute phase schizophrenia was the most severely affected, bipolar mania was similar to schizophrenia, but bipolar depression was similar to unipolar depression.

State Anhedonia and Suicidal Ideation in Adolescents.

Background: Recent work suggests that state anhedonia and its social aspect of loss of interest in people was an important predictor of suicidal ideation in adults. Aim: The current study investigated the relationship between state anhedonia, trait anhedonia, suicidal ideation, and suicide attempts in adolescents. Method: State anhedonia was assessed using the anhedonia subscale from the Child Mood and Feelings Questionnaire, while trait social anhedonia was assessed using the Adolescent Anticipatory and Consummatory Interpersonal Pleasure Scale and the Temporal Experience of Pleasure Scale. Results: Results indicated that state anhedonia was associated with suicidal ideation but not associated with past suicide attempts after controlling for depressive symptoms. Academic stressful events moderated the relationship between state anhedonia and suicidal ideation. Symptom-level analyses revealed that loss of interest in friends was most highly predictive of suicidal ideation compared with the other anhedonia components. Limitations: The current investigation was limited by its reliance on student samples and data from a single time point. Conclusion: The current study indicated that state anhedonia and its social component may be more informative of near-term suicidal ideation than trait anhedonia in adolescents.

Identification of Differentially Expressed miRNAs in the Response of Spleen CD4+ T Cells to Electroacupuncture in Senescence-Accelerated Mice.

Immunological aging impairs immune system protection in the body and is associated with high morbidity and mortality in aged people. Electroacupuncture (EA) has been proven to boost immunity. The purpose of this study was to identify the effect of EA on miRNA expression in the immune system of senescence-accelerated mouse P8 (SAMP8) mice. We utilized SAMP8 mice as an aging model and detected the altered expression of miRNAs in CD4+ T cells after EA stimulation by deep sequencing. Differentially expressed miRNAs in different groups were identified using Venn diagrams and functional analysis was performed. The effect of EA on the expression of the identified miRNAs was investigated in natural-aged C57BL/6J mice and the biological functions of miR-301a-3p and miR-181a-1-3p in CD4+ T cells were identified. Four upregulated and two downregulated miRNAs were identified in group I (EA-SAMP8 vs. shEA-SAMP8); 41 upregulated and nine downregulated miRNAs were identified in group II (EA-SAMP8 vs. SAMP8); 42 upregulated and eight downregulated miRNAs were identified in group III (shEA-SAMP8 vs. SAMP8). The three groups shared four overlapping differentially expressed miRNAs, and 10 miRNAs were only found in group II. Gene Ontology enrichment analysis of these 14 miRNAs revealed that their target genes were enriched in 229 "biological process" categories. Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the targets were significantly mapped in 76 pathways. Furthermore, five significant pathways were involved in T cell differentiation. MiRNA-gene-net showed that miR-582-5p, miR-17-5p, miR-144-3p, miR-451a, and miR-301a-3p regulated the most important target genes in these pathways. The expression of these miRNAs was also regulated by EA in aged C57BL/6J mice. In addition, miR-301a-3p was involved in regulating the expression of inflammatory factors by mediating the differentiation of CD4+ T cells in C57BL/6J mice. Analysis of miRNAs indicated that EA contributes to maintaining the balance of CD4+ T cell differentiation in the aging immune system. These results provide novel insights into the effect of EA in immunological aging.

Stress and Suicidal Ideation: The Role of State or Trait Anhedonia in a Moderated Mediation Model.

BACKGROUND: Recent works suggested taking into account the severity and the type of anhedonia when examining suicidal ideation. The present study investigated a moderated mediation model addressing the psychosocial mechanisms that account for the association between state or trait anhedonia and suicidal ideation. METHODS: State anhedonia was assessed using the Snaith-Hamilton Pleasure Scale, while trait anhedonia was assessed using the Temporal Experience of Pleasure Scale. A total number of 1,361 of undergraduates completed questionnaires at three different times, with one-year intervals. RESULTS: The direct effect of stress on suicidal ideation was significantly greater for those students who had lower trait anticipatory and consummatory anhedonia, whereas the indirect effect from stress on suicidal ideation through depression was significantly greater for those who had higher state anhedonia. Moreover, trait consummatory anhedonia moderated the relationship between stress and suicidal ideation after one year, and trait anticipatory anhedonia moderated the relationship between stress and suicidal ideation after two years. CONCLUSIONS: Low levels of trait anhedonia were associated with elevated suicidal ideation, while high levels of state anhedonia were associated with elevated suicidal ideation. Trait consummatory anhedonia was associated with short-term suicidal ideation, while trait anticipatory anhedonia was associated with long-term suicidal ideation.

Trajectories of state anhedonia and recent changes in anhedonia in college students: Associations with other psychiatric syndromes.

BACKGROUND: Recent works suggest recent changes in anhedonia may be specifically predictive of key elements of psychopathology. The present study aimed to identify the trajectories of state anhedonia and recent changes in anhedonia, and to investigate their associations with other psychiatric syndromes over time. METHODS: A total of 859 college students were assessed at three time points. State anhedonia was assessed using the Snaith Hamilton Pleasure Scale and recent changes in anhedonia were assessed with a subscale extracted from the Symptom Check-List-90. The Latent Growth Curve Modelling analysis was used to analyze trajectories. Associations with anhedonia were investigated with logistic regression models. RESULTS: Three state anhedonia trajectories and two recent changes in anhedonia trajectories were identified. The decreasing trajectory was the most prevalent class in both two types of anhedonia. Depression and suicidal ideation predicted recent changes in anhedonia whereas other psychiatric syndromes predicted state anhedonia. CONCLUSIONS: The current study highlighted the development trajectories of different measures of anhedonia. The results showed that the relationships between anhedonia and psychiatric syndromes were different according to the kind of anhedonia.