Objective To explore the changes in serum lactate dehydrogenase （LDH）， monocyte chemoattractant protein-1 （MCP-1）， and transcription factor 4 （TCF4） levels in patients with cerebral small vessel disease complicated by depression and their clinical significance. Methods According to the inclusion and exclusion criteria， 90 patients admitted to the Kailuan General Hospital between January 2022 and August 2024 were selected as the study subjects， including 27 patients diagnosed with cerebral small vessel disease complicated by depression and 63 patients with cerebral small vessel disease uncomplicated by depression. An additional 45 healthy individuals with normal head MRI findings and no mental disorders during the same period at the hospital were selected as the control group. General information was collected from the three groups， including age， body mass index， systolic blood pressure， and diastolic blood pressure.The general information and the levels of serum LDH，MCP-1，and TCF4 in the three groups were compared. The correlations of serum LDH，MCP-1，and TCF4 levels with HAMD score in patients with cerebral small vessel disease and depression were analyzed. Logistic regression was applied to analyze possible factors leading to depression in patients with cerebral small vessel disease.The receiver operating characteristic curve was applied to analyze the efficacy of serum LDH， MCP-1， and TCF4 levels in diagnosing depression in patients with cerebral small vessel disease. Results The levels of serum LDH， MCP-1，and TCF4 were significantly higher in the cerebral small vessel disease complicated by depression group than in cerebral small vessel disease uncomplicated with depression group and the control group （P<0.05）， and these levels were significantly higher in the cerebral small vessel disease uncomplicated with depression group than in the control group （P<0.05）.The serum LDH，MCP-1 and TCF4 were positively correlated with HAMD score in patients with cerebral small vessel disease complicated with depression（r=0.606，0.798，0.672，all P<0.001）.Serum LDH， MCP-1， and TCF4 were influencing factors for depression in cerebral small vessel disease（P<0.05）.The area under the receiver operating characteristic curve of LDH， MCP-1，and TCF4 in combination in the diagnosis of depression in cerebral small vessel disease was 0.917， which was superior to serum LDH， MCP-1， and TCF4 alone （ZLDH-combination=2.457，P=0.014；ZMCP-1-combination=2.384， P=0.017； ZTCF4-combination=2.317， P=0.021）. Conclusion Serum LDH， MCP-1， and TCF4 levels increased in patients with cerebral small vessel disease complicated with depression. Their combination is valuable in the diagnosis of cerebral small vessel disease complicated with depression.
Depression

Objective To investigate the changing trend of sleep disturbance in patients with hepatolenticular degeneration and the bidirectional relationship between sleep disturbance and depression through a cross-lagged regression analysis. Methods A total of 80 patients who met the diagnostic criteria for WD from January to June 2024 were enrolled in this longitudinal study and were followed up for 3 months.Pittsburgh Sleep Quality Index （PSQI） was used to assess sleep quality， and Beck Depression Inventory （BDI） was used to assess the severity of depression， at the time of enrollment （T0）， at 1 month after enrollment （T1），and at 2 months after enrollment （T3）. An unconditional growth model was used to analyze the trajectory of sleep disturbance， and a cross-lagged regression model was used to investigate the temporal relationship between sleep disturbance and depression. Results From T0 to T2， there were significant increases in PSQI and BDI scores in all WD patients（P<0.05）. The variance of the intercept factor （the initial status of sleep disturbance） was estimated at 10.83（P<0.01），and the variance of the slope factor （the rate of change in sleep disturbance） was 1.20 （P<0.01），with a significant negative correlation between the intercept and the slope （r=-0.25，P<0.01）. The correlation analysis of PSQI and BDI scores across the three time points revealed a positive correlation between PSQI and BDI scores （r∈[0.19，0.96]，P<0.01）.The cross-lagged model analysis showed that sleep disturbance significantly predicted subsequent depression （P<0.01），with standardized regression coefficients （β） of 0.392 and 0.347， respectively； meanwhile， depression also significantly predicted subsequent sleep disturbance （P<0.01）， with β of 0.273 and 0.372， respectively. These findings suggested a bidirectional predictive relationship between sleep disturbance and depression in WD patients over time. Conclusion There is a bidirectional relationship between sleep disturbance and depression in patients with WD， and depression has a more pronounced influence on sleep disturbance. Therefore， clinical interventions should focus on both sleep and psychological state， and combined management should be performed to improve the effect of disease control.
Depression

Objective Observational studies have shown an association between Parkinson disease （PD） and mental illness， but further studies are needed to explore the causal relationship between them. This study aims to investigate such causal relationship using the method of two-sample Mendelian randomization （MR）. Methods Related data were extracted from GWAS， and summary statistics associated with PD， depression， sleep disorders， and anxiety phenotype-variants were obtained. Single nucleotide polymorphisms （SNPs） for PD were selected as instrumental variables， and MR-PRESSO was used to exclude outliers. Inverse variance weighting was used as the main method to assess causal effect estimates， and MR Egger， weighted median， simple mode， and weighted mode were used to verify the robustness of the findings. A sensitivity analysis was used to validate the reliability of the results， including the Cochran Q test， the MR-Egger intercept test， funnel plots， and the leave-one-out method. Results A total of 21 SNPs associated with PD were identified. The MR analysis showed that PD had a causal relationship with depression （OR=0.974，95%CI 0.934‒1.015， P=0.210）， sleep disorders （OR=1.056， 95%CI 0.970-1.149， P=0.211）， and anxiety （OR=0.998， 95%CI 0.996‒1.001， P=0.118）， with no statistical significance. Different MR analyses and sensitivity analyses showed that PD did not directly contribute to the development of mental illness. Conclusion There is no direct causal relationship between PD and depression/sleep disorders/anxiety. In clinical practice， healthcare professionals should pay attention to the mental health of patients with PD. Randomized controlled studies should be conducted in the future to further validate the results of this study.
Depression ; Anxiety

This study systematically reviewed the randomized controlled trial(RCT) of traditional Chinese medicine(TCM) treatment of post-stroke depression(PSD) and analyzed the clinical study characteristics and outcome indicators, aiming to optimize the design and establish the core outcome set in the future clinical trials of the TCM treatment of PSD. PubMed, Web of Science, Cochrane Library, EMbase, CNKI, VIP, Wanfang, and SinoMed were searched for the relevant RCT published in recent 3 years. The basic characteristics, intervention measures, and outcome indicators of the included RCT were extracted, and the descriptive analysis was carried out. A total of 76 RCTs were eventually included, with the sample size concentrated in 80-100 cases. The most frequent TCM syndromes were liver depression and Qi stagnation(15 times, 31.91%) and phlegm combined with stasis(5 times, 10.63%). The frequency of intervention methods followed a descending trend of TCM decoction(35 times, 46.05%) and TCM decoction + acupuncture(4 times, 5.26%), Chinese patent medicine(3 times, 3.94%), and the intervention mainly lasted for 1 to 3 months(43 times, 60.56%). The adverse reactions of patients were mainly digestive system reaction(150 patients, 39.37%) and nervous system reaction(112 patients, 29.39%). Most of the included studies had unclear risk of bias, involving 84 outcome indicators, which belonged to 8 indicator domains. The RCTs of TCM treatment of PSD showed a variety of problems, such as non-standard TCM syndrome differentiation, inconsistent names of TCM syndrome scores and measurement tools, low quality, unclear risk of bias, neglect of endpoint indicators, unreasonable selection of substitute indicators, lack of differentiation between primary and secondary outcome indicators, non-standard reporting of safety indicators, insufficient attention to economic indicators, and lack of long-term prognosis evaluation. It is suggested that the future research should improve the quality of methodology and build a standardized core outcome set to promote the development of high-quality clinical research in this field.
Humans ; Randomized Controlled Trials as Topic ; Drugs, Chinese Herbal/administration & dosage* ; Stroke/psychology* ; Depression/etiology* ; Treatment Outcome ; Medicine, Chinese Traditional

This study investigated the mechanism of Chaishao Kaiyu Decoction in improving hippocampal neuroinflammation in depressed rats based on complement component 3(C3)/C3 receptor(C3aR). A total of 60 SD rats were randomly divided into a blank group, a model group, high, medium, and low dose groups of Chaishao Kaiyu Decoction, and a positive drug group, with 10 rats in each group. Except for the blank group, chronic unpredictable mild stress(CUMS) was used to construct depression models in other groups. Sucrose preference, open-field experiment, forced swimming, and water maze were used to detect the changes in depression-like behavior in each group. Enzyme-linked immunosorbent assay(ELISA) was used to detect the serum inflammatory factor level in rats, and hematoxylin-eosin(HE) staining and Nissl staining were employed to observe the pathological damage of hippocampal neurons. Golgi-Cox staining was used to observe the dendritic spine damage of hippocampal neurons, and immunofluorescence and Western blot were utilized to detect the expression of microglial marker Iba-1 and C3/C3aR protein in the hippocampus of rats. The behavioral results showed that compared with the model group, Chaishao Kaiyu Decoction could significantly strengthen the sugar water preference, increase the distance and number of voluntary activities, shorten the immobility time in forced swimming and the successful incubation period of positioning navigation, and prolong the stay time of space exploration in the target quadrant. ELISA results showed that the content of inflammatory factors in the hippocampus of depressed rats was significantly higher than that of the blank group, and the content of inflammatory factors decreased significantly after the intervention of Chaishao Kaiyu Decoction. In addition, Chaishao Kaiyu Decoction could relieve pathological damage such as cell swelling and loose arrangement of hippocampus tissue. In the Western blot experiment, the expression levels of C3 and C3aR proteins in the model group were higher than those in the blank group, while the expression of C3 and C3aR in Chaishao Kaiyu Decoction could be down-regulated. Immunofluorescence results showed that compared with the model group, the fluorescence intensity of microglia marker Iba-1 decreased significantly after the intervention of Chaishao Kaiyu Decoction and positive drugs. The antidepressant effect of Chaishao Kaiyu Decoction may be related to the down-regulation of C3/C3aR signaling pathway-related proteins, thus alleviating hippocampal inflammation.
Animals ; Hippocampus/metabolism* ; Rats, Sprague-Dawley ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Male ; Depression/metabolism* ; Complement C3/metabolism* ; Receptors, Complement/metabolism* ; Humans ; Neuroinflammatory Diseases/genetics*

The Baihe Dihuang Decoction(BDD) is a representative traditional Chinese medicine formula that has been used to treat depression. This study employed metabolomics and network pharmacology to investigate the mechanism of BDD in the treatment of depression. Fifty male Sprague-Dawley(SD) rats were randomly assigned to the normal control group, model group, fluoxetine group, and high-and low-dose BDD groups. A rat model of depression was established through chronic unpredictable mild stress(CUMS), and the behavioral changes were detected by forced swimming test and open field test. Metabolomics technology was used to analyze the metabolic profiles of serum and hippocampal tissue to screen differential metabolites and related metabolic pathways. Additionally, network pharmacology and molecular docking techniques were used to investigate the key targets and core active ingredients of BDD in improving metabolic abnormalities of depression. A "component-target-metabolite-pathway" regulatory network was constructed. BDD could significantly improve depressive-like behavior in CUMS rats and regulate 12 differential metabolites in serum and 27 differential metabolites in the hippocampus, involving tryptophan metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, alanine, aspartate, and glutamate metabolism, tyrosine metabolism, and purine metabolism. Verbascoside, isorbascoside, and regaloside B were the key active ingredients for improving metabolic abnormalities in depression. Epidermal growth factor receptor(EGFR), protooncogene tyrosine-protein kinase(SRC), glycogen synthase kinase 3β(GSK3β), and androgen receptor(AR) were the key core targets for improving metabolic abnormalities of depression. This study offered a preliminary insight into the mechanism of BDD in alleviating metabolic abnormalities of depression through network regulation, providing valuable guidance for its clinical use and subsequent research.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Rats ; Metabolomics ; Depression/genetics* ; Antidepressive Agents/chemistry* ; Network Pharmacology ; Hippocampus/drug effects* ; Humans ; Molecular Docking Simulation ; Behavior, Animal/drug effects* ; Disease Models, Animal

To explore the anti-depression effect of Suanzaoren Decoction(SZRD), the regulatory effects on endogenous metabolites in the liver of rats with depression induced by chronic unpredictable mild stress(CUMS) were analyzed by using LC-MS metabolomics. The rats were randomly divided into normal control group, model group, low-dose SZRD group, high-dose SZRD group, and positive drug group. The CUMS depression model was replicated by applying a variety of stimuli, such as fasting and water deprivation, ice water swimming, hot water swimming, day and night reversal, tail clamping, and restraint for rats. Modeling and treatment were conducted for 56 days. The behavioral indexes of rats in each group, including body weight, open field test, sucrose preference test, and tail suspension test, were observed. Plasma samples and liver tissue samples were collected, and the contents of 5-hydroxytryptamine(5-HT), dopamine(DA), and norepinephrine(NE) in plasma were measured using enzyme-linked immunosorbent assay(ELISA). Meanwhile, the regulatory effects of SZRD on the liver metabolic profile of CUMS model rats were analyzed by the LC-MS metabolomics method. The results show that SZRD can significantly improve the depression-like behavior of CUMS model rats and increase the neurotransmitter levels of 5-HT, DA, and NE in plasma. A total of 24 different metabolites in the rats' liver are identified using the LC-MS metabolomics method, and SZRD can reverse 13 of these metabolites. Metabolic pathway analysis indicates that nine metabolic pathways are found to be significantly associated with depression, and in the low-dose SZRD group, four pathways can be regulated, including pentose phosphate pathway, purine metabolism, inositol phosphate metabolism, and sphingolipid metabolism. In the high-dose SZRD group, two metabolic pathways can be regulated, including sphingolipid metabolism and glycerol glycerophospholipid metabolism. Sphingolipid metabolism is a metabolic pathway that can be regulated by SZRD at different doses, so it is speculated that it may be the primary pathway through which SZRD can alleviate metabolic disturbances in the liver of CUMS model rats.
Animals ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Metabolomics ; Depression/metabolism* ; Male ; Liver/drug effects* ; Rats, Sprague-Dawley ; Antidepressive Agents/administration & dosage* ; Serotonin/blood* ; Humans ; Disease Models, Animal ; Behavior, Animal/drug effects*

This paper aims to study the effect of Ziziphi Spinosae Semen extracts on chronic unpredictable mild stress(CUMS)-induced depression-like and insomnia behavior models of mice. The CUMS-induced depression-like and insomnia behavior model of mice was established by CUMS treatment for three weeks. The mice were randomly divided into control group, model group, positive drug diazepam group(2 mg·kg~(-1)), as well as low-dose group(1.95 g·kg~(-1)), medium-dose group(3.9 g·kg~(-1)), and high-dose group(7.8 g·kg~(-1)) of Ziziphi Spinosae Semen extracts, with 18 mice in each group. On the 15th day of modeling, the drug was administered intragastrically once a day for one week. Then, the pentobarbital sodium cooperative righting experiment, open field experiment, and elevated plus maze experiment were carried out, respectively. The contents of neurotransmitters 5-hydroxytryptamine(5-HT) and 5-hydroxyindoleacetic acid(5-HIAA) in serum and thalamus of mice, as well as the levels of corticotropin releasing hormone(CRH), adrenocorticotropic hormone(ACTH), and corticosterone(CORT) in serum, were determined by enzyme-linked immunosorbent assay(ELISA). The neuron damage in the hippocampus of mice was observed by hematoxylin-eosin(HE) staining and Nissl staining. Western blot was used to detect the expressions of tryptophan hydroxylase 2(TPH2), serotonin transporter(SERT), monoamine oxidase A(MAOA), five prime repressors under dual repression binding protein 1(Freud1), synaptic plasticity-related proteins [cellular gene FOS(C-FOS), postsynaptic density protein 95(PSD95), synapsin 1(SYN1), and activity-regulated cytoskeleton-associated gene(ARC)], blood-brain barrier(BBB) permeability-related proteins [zonula occludens 1(ZO-1), occludin, and claudin 1], inflammatory factors [NOD-, LRR-and pyrin domain-containing protein 3(NLRP3), apoptosis-associated speck-like protein(ASC), gasdermin D(GSDMD), caspase-3, and caspase-8], and antioxidant factors [nuclear factor erythroid 2-related factor 2(NRF2) and heme oxygenase 1(HO1)] in thalamic tissue of mice. The results indicated that compared with that in the model group, the sleep latency was significantly shortened, and the sleep duration was significantly prolonged in each dose group of Ziziphi Spinosae Semen extracts. The number of visits to the central area of the open field and the distance and time of visits were significantly increased in each dose group of Ziziphi Spinosae Semen extracts. In addition, the proportion of distance and time of entering the open arm area of the elevated plus maze was significantly increased in each dose group of Ziziphi Spinosae Semen extracts. The contents of 5-HT and 5-HIAA in serum and thalamus of mice increased to varying degrees in each dose group of Ziziphi Spinosae Semen extracts; the contents of CRH, ACTH, and CORT in serum of mice were significantly decreased. The protein expression of TPH2 was significantly increased. The protein expression of MAOA, SERT, and Freud1 was significantly decreased. Ziziphi Spinosae Semen extracts could also significantly reduce the protein expression of C-FOS but significantly increase the protein expression of PSD95, ARC, and SYN1. They could reduce the pathological damage of the hippocampus in mice and significantly increase the protein expression of ZO-1, occluding, and claudin 1. The protein expression of NLRP3, GSDMD, ASC, caspase-3, and caspase-8 in the thalamic tissue of mice was significantly decreased, and the protein expression of HO1 and NRF2 was significantly increased. In conclusion, Ziziphi Spinosae Semen extracts could effectively improve sleep disorders and depression-like behaviors in CUMS-induced model mice, which may be related to regulating the 5-HT anabolism process and hypothalamic-pituitary-adrenal(HPA) axis-related hormone levels, reducing pathological damage in the hippocampus, improving synaptic plasticity, repairing BBB integrity, and alleviating inflammatory response and oxidative stress damage.
Animals ; Ziziphus/chemistry* ; Mice ; Male ; Depression/psychology* ; Drugs, Chinese Herbal/administration & dosage* ; Sleep Initiation and Maintenance Disorders/psychology* ; Stress, Psychological/complications* ; Behavior, Animal/drug effects* ; Humans ; Disease Models, Animal

This study delves into the mechanism of total flavone of Abelmoschus manihot(TFA) in treating ulcerative colitis(UC) and depression via inhibiting M1 polarization of macrophages and reshaping intestinal flora and glycerolphospholipid metabolism. The study established a mouse model of UC and depression induced by chronic restraint stress(CRS) and dextran sulfate sodium(DSS). The fecal microbiota transplantation(FMT) experiment after TFA intervention was conducted. Mice in the FMT donor group were modeled and treated, and fecal samples were taken to prepare the bacterial solution. Mice in the FMT receptor group were treated with antibiotic intervention, and then administered bacterial solution by gavage from mice in the donor group, followed by UC depression modeling. After the experiment, behavioral tests were conducted to evaluate depressive-like behaviors by measuring the levels of 5-hydroxytryptamine(5-HT) and brain-derived neurotrophic factor(BDNF) in the hippocampus of mice. The levels of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),and interleukin-1β(IL-1β)in the brain and colon tissue of mice were also measured, and the polarization status of macrophages was evaluated by measuring the mRNA levels of CD86 and CD206. 16S ribosomal RNA(16S rRNA) sequencing technology was used to analyze changes in the intestinal flora of mice. Wide target lipidomics was used to detect serum lipid metabolite levels in mice after FMT,and correlation analysis was conducted between lipids and differential intestinal flora significantly regulated by TFA. In vitro experiments, representative glycerophospholipid metabolites and glycerophospholipid inhibitors were used to intervene in Raw264.7 macrophages, and the mRNA levels of TNF-α,IL-6,IL-1β,CD86,and CD206 were detected. The results showed that TFA and FMT after intervention could significantly improve depressive-like behavior and intestinal inflammation in mice with UC and depression, significantly downregulate pro-inflammatory cytokines and CD86 mRNA expression in brain and colon tissue, inhibiting M1 polarization of macrophages, and significantly upregulate CD206 mRNA expression, promoting M2 polarization of macrophages. In addition, the high-dose group had a more significant effect. After TFA intervention, FMT significantly corrected the metabolic disorder of glycerophospholipids in mice with UC and depression, and there was a significant correlation between differential intestinal flora and glycerophospholipids. In vitro experiments showed that glycerophospholipid metabolites, especially lysophosphatidylcholine(LPC),significantly upregulated pro-inflammatory cytokines and CD86 mRNA expression, promote M1 polarization of macrophages, while glycerophospholipid inhibitors had the opposite effect. The results indicate that TFA effectively treats depression and UC by correcting intestinal flora dysbiosis and reshaping glycerophospholipid metabolism, thereby inhibiting M1 polarization of macrophages.
Animals ; Mice ; Gastrointestinal Microbiome/drug effects* ; Abelmoschus/chemistry* ; Macrophages/metabolism* ; Colitis, Ulcerative/immunology* ; Flavones/administration & dosage* ; Male ; Depression/genetics* ; Glycerophospholipids/metabolism* ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Mice, Inbred C57BL

This study aims to explore the mechanism of Jiaotai Pills in treating depression based on metabolomics and network pharmacology. The chemical constituents of Jiaotai Pills were identified by UHPLC-Orbitrap Exploris 480, and the targets of Jiaotai Pills and depression were retrieved from online databases. STRING and Cytoscape 3.7.2 were used to construct the protein-protein interaction network of core targets of Jiaotai Pills in treating depression and the "compound-target-pathway" network. DAVID was used for Gene Ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses of the core targets. The mouse model of depression was established with chronic unpredictable mild stress(CUMS) and treated with different doses of Jiaotai Pills. The behavioral changes and pathological changes in the hippocampus were observed. UHPLC-Orbitrap Exploris 120 was used for metabolic profiling of the serum, from which the differential metabolites and related metabolic pathways were screened. A "metabolite-reaction-enzyme-gene" network was constructed for the integrated analysis of metabolomics and network pharmacology. A total of 34 chemical components of Jiaotai Pills were identified, and 143 core targets of Jiaotai Pills in treating depression were predicted, which were mainly involved in the arginine and proline, sphingolipid, and neurotrophin metabolism signaling pathways. The results of animal experiments showed that Jiaotai Pills alleviated the depression behaviors and pathological changes in the hippocampus of the mouse model of CUMS-induced depression. In addition, Jiaotai Pills reversed the levels of 32 metabolites involved in various pathways such as arginine and proline metabolism, sphingolipid metabolism, and porphyrin metabolism in the serum of model mice. The integrated analysis showed that arginine and proline metabolism, cysteine and methionine metabolism, and porphyrin metabolism might be the key pathways in the treatment of depression with Jiaotai Pills. In conclusion, metabolomics combined with network pharmacology clarifies the antidepressant mechanism of Jiaotai Pills, which may provide a basis for the clinical application of Jiaotai Pills in treating depression.
Animals ; Drugs, Chinese Herbal/chemistry* ; Depression/genetics* ; Mice ; Network Pharmacology ; Metabolomics ; Male ; Disease Models, Animal ; Humans ; Protein Interaction Maps/drug effects* ; Antidepressive Agents