Systemic inflammation and oxidative stress markers in patients with unipolar and bipolar depression: A large-scale study

Berberine: An isoquinoline alkaloid targeting the oxidative stress and gut-brain axis in the models of depression

Depression seriously affects people's quality of life, and there is an urgent need to find novel drugs to cure treatment-resistant depression. Berberine (BBR), extracted from Coptis chinensis Franch., Phellodendron bark, Berberis vulgaris, and Berberis petiolaris, could be a potential multi-target drug for depression. To summarize the effects of BBR on depression in terms of in vitro or in vivo experiments, we searched electronic databases, such as PubMed, Web of Science, Google Scholar, Wanfang Database, and China National Knowledge Infrastructure, from inception until May 2024. Then, we summarize that BBR has indirect antidepressant properties to improve depressive symptoms, manifesting in modulating the gut microbial community, strengthening the intestinal barrier, increasing the abundance of short-chain fatty acid-producing bacteria, and regulating tryptophan metabolism. BBR also exerts antidepressant-like effects via remodulating nuclear factor-erythroid 2-related factor 2/antioxidant response element pathway, hypothalamic-pituitary-adrenal axis, and peroxisome proliferators-activated receptor-delta. Nevertheless, further clinical trials and more high-quality animal studies are needed to show the actual clinical value of BBR for depression.

Gender-specific differences in the association of HDL and HDL-related oxidative stress indicators with the occurrence of major depressive disorder and bipolar disorder: A large-scale study

OBJECTIVE

Numerous studies have demonstrated that High-Density Lipoprotein (HDL) has antioxidant and anti-inflammatory roles. Uric acid to HDL ratio (UHR), non-HDL cholesterol to HDL ratio (NHHR), monocyte to HDL ratio (MHR), neutrophil to HDL ratio (NHR), total cholesterol to HDL ratio (TCHR), triglyceride to HDL ratio (TGHR) can serve as inflammation and oxidative stress markers in multiple diseases. However, few studies have estimated the associations of these indicators with major depressive disorder (MDD) and bipolar disorder (BD) in different genders.

METHODS

Based on 14,266 patients with MDD or BD and 8308 healthy subjects from China, we analyzed the associations between these indicators and diseases as well as gender.

RESULTS

8201 MDD patients, 4069 patients with BD manic episodes (BDM) and 1996 patients with BD depressive episodes (BDD) were included. The HDL-related indicators displayed unique variation patterns across different disease groups and genders. In males, the BDM group displayed highest NHR, MHR, UHR and lowest NHHR and TCHR, lower UHR and NHHR were risk factors of MDD, lower NHHR was risk factors of BDD, higher MHR and lower NHHR were risk factors of BDM. In females, the BDM group displayed highest NHR, MHR and UHR, higher TGHR was risk factor of MDD, higher MHR, TGHR and UHR were risk factors of BDD, higher NHR, MHR, TGHR and UHR were risk factors of BDM.

CONCLUSIONS

Gender-specific differences in HDL-related profile among BDM, BDD and MDD patients were demonstrated, highlighting gender-specific role of HDL-related indicators in the pathophysiology of MDD and BD.

Exploring the Link Between Vitamin K and Depression: A Systematic Review

Background and Objectives: Depression is a multifactorial mental health disorder involving inflammation, oxidative stress, neuroplasticity deficits, and metabolic dysfunction. Emerging research suggests that vitamin K, beyond its classical roles in coagulation and bone metabolism, may influence neurobiological processes relevant to mood regulation. This systematic review evaluates the association between vitamin K and depressive symptoms and explores potential underlying mechanisms. Materials and Methods: A systematic search was conducted across PubMed, Scopus, Cochrane Library, ScienceDirect, and Google Scholar, following PRISMA 2020 guidelines. Eligible studies included human or animal research examining associations between vitamin K status (dietary intake or serum levels) and depression-related outcomes. Fourteen studies met the inclusion criteria: eleven observational studies, one randomized controlled trial (RCT), and two preclinical animal studies. Results: Most observational studies reported an inverse association between vitamin K intake or serum levels and depressive symptoms across diverse populations. One small RCT demonstrated modest improvements in depression scores following vitamin K2 (menaquinone-7) supplementation in women with polycystic ovary syndrome. Two preclinical studies using non-depression models reported behavioral improvements and reduced oxidative stress following vitamin K2 administration. Conclusions: While preliminary findings suggest a potential role for vitamin K in pathways relevant to depression, the current evidence is limited by cross-sectional designs, lack of isoform-specific analyses, and the absence of depression-focused preclinical models. Mechanisms including inflammation reduction, oxidative stress modulation, sphingolipid regulation, and vitamin K-dependent protein signaling (e.g., GAS6 and osteocalcin) were discussed based on indirect evidence and require further investigation in depression-specific contexts.

Association of hematological parameters and inflammatory indices with sarcopenia in the United States and China: a cross-sectional study

BACKGROUND

In this study, we examined the association between hematological parameters and inflammatory indices and sarcopenia in the general population of the United States and China.

METHODS

The cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) (2011-2014) and the Affiliated Hospital of Anhui Medical University (2022-2024). We employed weighted restricted cubic spline (RCS) plots and multivariable logistic regression analyses to explore the association of hematological parameters and inflammatory indices with the prevalence of sarcopenia in American and Chinese populations.

RESULTS

A total of 8805 participants from NHANES, and 2598 individuals from the First Affiliated Hospital of Anhui Medical University were included in our analysis. In American and Chinese populations, the roughly J-shaped curve was detected in the RCS plots for mean platelet volume and platelet-to-lymphocyte ratio with the risk of sarcopenia. Additionally, the risk of sarcopenia was positively and linearly associated with white blood cells, lymphocytes and platelet, while it was inversely and linearly associated with mean cell volume.

CONCLUSIONS

We demonstrated a nonlinear association between some hematological parameters, inflammatory indices and sarcopenia in American and Chinese populations. The need to focus more on hematological parameters and inflammatory indices in the body could provide better prevention strategies for sarcopenia.

Association between higher dietary lycopene intake and reduced depression risk among American adults: evidence from NHANES 2007-2016

Introduction

Although previous researches have suggested that certain dietary nutrients, such as carotenoids, have an effect on depression, epidemiological evidence on the relationship between lycopene and depression remains limited. This study aimed to investigate the association between dietary lycopene intake and depression risk in American adults.

Methods

Data from 18,664 participants in the National Health and Nutrition Examination Survey (NHANES, 2007-2016) were analyzed, with depression defined by a nine-item Patient Health Questionnaire (PHQ-9) score ≥ 10. Dietary lycopene intake was estimated from the mean of two 24-h dietary recalls. Binary logistic regression and restricted cubic spline (RCS) models were employed to assess the relationship.

Results

Depression prevalence was 8.98%, and adjusted analyses indicated that higher dietary lycopene intake was significantly associated with a reduced depression risk compared to the lowest quartile (ORs for the second, third, and fourth quartiles: 0.851 [95% CI, 0.737-0.982], 0.829 [95% CI, 0.716-0.960], and 0.807 [95% CI, 0.695-0.938], respectively). Additionally, a U-shaped relationship was observed, with a reduction in depression risk associated with dietary lycopene intake ranging from 0 to 10,072 μg/d (P-non-linear = 0.017).

Discussion

This study suggested that higher dietary lycopene intake may confer a protective effect against depression in American adults.

Glymphatic function and choroid plexus volume is associated with systemic inflammation and oxidative stress in major depressive disorder

BACKGROUND

Inflammatory processes were recognized as key factors in the pathophysiology of major depressive disorder (MDD). The choroid plexus (ChP) and glymphatic system played central roles in immune interactions between the brain and periphery. However, their specific roles in MDD and their relationship with systemic inflammation and oxidative stress remained unclear.

METHODS

This study finally included 665 MDD patients and 338 healthy controls. Clinical data and MRI scans were collected, and some patients also underwent blood routine and biochemical tests. ChP volume was manually segmented, and the diffusion tensor imaging along the perivascular space (DTI-ALPS) index, reflecting glymphatic function, was obtained through the FSL pipeline. The differences in these dices between groups were compared, and their associations with systemic inflammation and oxidative stress were analyzed.

RESULTS

MDD patients showed increased ChP volume (total: d = 0.316, p < 0.001; left: d = 0.317, p < 0.001; right: d = 0.268, p = 0.003) and decreased DTI-ALPS index (d = -0.144, p = 0.022), with a negative correlation between them (ρ = -0.135, p < 0.001). In MDD patients, lower DTI-ALPS index was correlated with higher LHR (ρ = -0.107, p = 0.025) and MHR (ρ = -0.126, p = 0.008). Larger right ChP volume was associated with higher MLR (ρ = 0.107, p = 0.009), SIRI (ρ = 0.086, p = 0.036), PIV (ρ = 0.086, p = 0.036), MHR (ρ = 0.136, p = 0.004), and PHR (ρ = 0.126, p = 0.008), while larger total ChP volume was correlated with higher MHR (ρ = 0.097, p = 0.042) and PHR (ρ = 0.114, p = 0.017).

CONCLUSION

MDD appeared to be accompanied by an increase in ChP volume and a decrease in glymphatic function, and these changes were related to systemic inflammation and oxidative stress.

Association between neutrophil to high-density lipoprotein cholesterol ratio and hearing loss: a cross-sectional study from NHANES

BACKGROUND

This study aimed to investigate the relationship between the neutrophil-to-HDL cholesterol ratio (NHR) and the risk of hearing loss, as well as to evaluate the potential of the NHR as a biomarker for hearing loss.

METHODS

The U.S. National Health and Nutrition Examination Survey (NHANES) data covering 2005-2012 and 2015-2020 were analyzed. A weighted multivariate logistic regression model assessed the correlation between NHR and speech-frequency hearing loss (SFHL) and high-frequency hearing loss (HFHL). Restricted cubic spline (RCS) regression analysis was utilized to investigate the nonlinear correlation. Additionally, subgroup analysis was performed to identify differences among subgroups. A receiver operating characteristic (ROC) analysis was conducted to evaluate the efficacy of NHR in predicting hearing loss.

RESULTS

A total of 10,436 participants were involved. After comprehensive adjustments for confounding factors, NHR was linearly correlated with SFHL and HFHL. Subgroup analysis revealed that race and the poverty index ratio (PIR) significantly modified the association between NHR and hearing loss. ROC analysis demonstrated the predictive capability of NHR for hearing loss.

CONCLUSION

NHR is positively correlated with the risk of hearing loss. This study suggests that NHR may serve as a potential biomarker for predicting and assessing hearing loss, demonstrating significant clinical application value. However, this cross-sectional study limits the ability to establish causality. Future longitudinal studies are needed to confirm these findings and explore potential mechanisms.

Objective sleep markers to differentiate unipolar and bipolar depression: A systematic review and meta-analysis

PURPOSE OF REVIEW

Differentiate between unipolar and bipolar depression through studies investigating objective sleep markers using polysomnography and actigraphy.

RECENT FINDINGS

Studies comparing unipolar and bipolar depression using objective markers often lack power and present heterogeneous results. However, in a recent actigraphy study (Leseur et al., 2024), which included 66 patients with unipolar depression and 24 with bipolar depression, notable and encouraging variations in sleep markers were found between the two disorders. Specifically, a decrease in sleep duration and efficiency was observed in people diagnosed with depression compared to those diagnosed with bipolar depression.

SUMMARY

Currently, there is a major challenge in distinguishing between unipolar and bipolar major depressive episodes. A significant body of research has been dedicated to identifying biomarkers that can aid in this differentiation due to its crucial implications, particularly for therapeutic and prognostic purposes. Among the biomarkers of interest, markers related to sleep and circadian rhythms show promise and could potentially aid in making this distinction. A few studies have evaluated these markers objectively, but they often lack power, or the results stay highly heterogeneous. We conducted a systematic review and meta-analysis of published studies comparing sleep disorders between unipolar or bipolar depression using PubMed, Cochrane Library, and Web of Science databases. Actigraphy, polysomnography, and nocturnal Electroencephalography (EEG) were considered. The qualitative analysis retained 11 original studies, including 666 participants (355 patients diagnosed with bipolar depression and 311 with unipolar depression) and 8 studies were included for the meta-analysis. Depression in unipolar disorder was associated with a shorter total sleep time (SMD -0.3539, [CI: -0.5486 to -0.1592]; p < 0.001; MD: -27.9592; I2 = 0 %) and a poorer sleep efficiency (SMD -0.3105, [95 % CI: -0.5207 to -0.1003]; p = 0.004; MD: -0.3105; I2 = 0 %) than patients diagnosed with bipolar depression. There were no significant differences between the two groups in sleep onset latency, REM latency and REM % during the night. In summary, when examining objective sleep markers through polysomnography or actigraphy to distinguish between the two disorders, it appears that unipolar depressive disorder is associated with a reduced total sleep time and a poorer sleep efficiency than bipolar depressive disorder. These findings have substantial implications for identifying individuals with either unipolar or bipolar disorder using objective sleep markers, as well as for crafting tailored and effective therapeutic approaches.

Monitoring of mental health in occupational populations: a study on the role and application of HDL-related inflammatory index

Background

Mental disorders in occupational populations pose significant health and economic burdens, but there exists a lack of practical and objective biomarkers for occupational mental health monitoring. Our study aims to explore the correlation between high-density lipoprotein (HDL)-related inflammatory markers and negative psychological symptoms in occupational populations. We also seek to evaluate the potential application effectiveness of these indicators as biomarkers for identifying the impact of mental health on occupational populations. Moreover, the indicators found in this study can be used as indicators for identifying high-risk groups prone to inflammatory responses caused by negative psychological symptoms.

Methods

Our study adopted a cross-sectional design with a combination of questionnaires and biochemical index tests for 1920 eligible occupational populations. The Depression Anxiety Stress Scales-21 (DASS-21) was used to measure participants' levels of anxiety, depression, and stress. Collect individual and occupational characteristics of survey respondents through self-administered questionnaires. Blood samples are also collected to measure high-density lipoprotein cholesterol levels and peripheral blood cell counts. We employed statistical analyses including correlation analysis, Receiver Operating Characteristic (ROC) curve analysis, and univariate and multivariate regression.

Results

The final sample size included in the analysis was 1,434. The results showed that stress, anxiety, and depressive symptoms were significantly correlated with all four HDL-related inflammatory indices (p < 0.05). Especially for MHR, compared to those without symptoms, individuals experiencing stress, anxiety, or depression had an OR of 2.75 (95% CI: 1.90, 3.99), 3.27 (95% CI: 2.25, 4.78), and 3.02 (95% CI: 2.08, 4.40) for abnormally high levels, respectively. In addition, subgroup analyses showed that lower monthly incomes, longer working hours and frequent night shifts might be promoting factors for elevated HDL-related inflammatory levels. Receiver Operating Characteristic (ROC) analysis further demonstrated that PHR and MHR exhibit good predictive ability for all three psychological symptoms, with AUC values exceeding 0.6. Notably, for individuals with over 30 years of work experience, the predictive performance AUC is even higher, reaching above 0.7.

Conclusion

The results of this study suggest that PHR and MHR are expected to be potential biomarkers for identifying health problems caused by negative psychological symptoms in occupational groups, providing valuable information for occupational mental health assessment. Preventive measures should be implemented for high-risk groups, including those with low income, long working hours, and frequent night shifts, to mitigate potential health impacts.

The change of inflammatory markers may predict long-term major adverse cardiovascular events in elderly patients with coronary heart disease: a retrospective cohort study

Background

At present, the relationship among inflammatory markers [monocytes/HDL-c (MHR), neutrophils/HDL-c (NHR) and lymphocytes/HDL-c (LHR)] and long-term prognosis of coronary heart disease (CHD) is still unclear. Therefore, this study explores the relationship between inflammatory indicators and the risk of long-term major adverse cardiovascular events (MACE) in elderly patients with CHD.

Methods

A retrospective analysis was conducted on 208 elderly patients who underwent coronary angiography at Wuhan Fourth Hospital from August 2022 to August 2023. They were divided into the CHD group (N = 116) and control group (N = 92). Patients in the CHD group were followed up for 1 year and divided into the MACE group (N = 36) and the non-MACE group (N = 80) according to whether MACE occurred.

Results

In elderly patients, logistic regression analysis shows that MHR is an independent risk factor for CHD (OR = 3.050, 95% CI 1.318-1.772). ROC curve analysis found that MHR (AUC = 0.865, 95% CI 0.811-0.919, p < 0.001) is higher than NHR and LHR. In patients with CHD, the spearman analysis show that MHR is positively correlated with Gensini score (R = 0.266, p = 0.004). The logistic regression analysis found that MHR is independent risk factors for MACE (OR = 6.048, 95% CI 1.224-1.941, p = 0.002). ROC analysis showed that the critical value of MHR to predict MACE was 0.651, the sensitivity of 58.3% and specificity of 90.0% could predict MACE, and the AUC was 0.793 (95% CI 0.702-0.884, p < 0.001) is higher than LHR.

Conclusion

In elderly patients, MHR is an independent predictor of CHD and long-term MACE and is positively correlated with the severity of coronary artery lesions.

Retrospective evaluation of novel serum inflammatory biomarkers in first-episode psychiatric disorders: diagnostic potential and immune dysregulation

Background

This study assessed the diagnostic capabilities of eight inflammatory biomarkers in first-episode schizophrenia (SCZ), bipolar disorder (BD), and depression (D), examining their differential expression across these psychiatric disorders. The markers studied include neutrophils/lymphocyte ratio (NLR), aggregate index of systemic inflammation (AISI), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), lymphocytes/high-density lipoprotein (HDL) ratio (LHR), monocytes/HDL ratio (MHR), neutrophils/HDL ratio (NHR), and platelets/HDL ratio (PHR).

Methods

We conducted a retrospective observational study involving 335 individuals with SCZ, 68 with BD, 202 with D, and 282 healthy controls (C) to evaluate hematologic parameters from untreated patients and controls.

Results

Significant differences in biomarker levels were found between patient groups and controls. Logistic regression analysis indicated that NHR and MHR (p < 0.001), as well as LHR and NLR (p < 0.01), were predictive factors for SCZ. MHR was a predictive factor for BD (p < 0.05). NHR (p < 0.01) and MHR (p < 0.001) were predictive factors for distinguishing between D and C. The area under the curve (AUC) value of the NHR + MHR + NLR composite index model for the SCZ group was 0.846 (p < 0.001). In the BD group, the AUC value for the MHR was 0.816 (p < 0.001). The D group's combined AUC value of NHR + MHR was 0.824 (p < 0.001).

Conclusion

This study highlights the diagnostic value of inflammatory biomarkers in distinguishing SCZ, BD, and D based on their differential expression.

Higher atherogenic index of plasma is associated with increased major depressive disorder: insights from a nationally representative study

Background

Emerging studies reveal a shared pathophysiological underpinning for metabolic problems and mental illnesses. The present study aimed to determine the association between atherogenic index of plasma (AIP) and the incidence of major depressive disorder (MDD).

Methods

7,951 subjects of US adults were collected from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. MDD was evaluated through the Patient Health Questionnaire (PHQ-9). Multivariate logistic regression, sensitivity analysis, and spline smoothing plot method were used to identify the relationship between AIP and MDD. The cut-off point was calculated using recursive partitioning analysis when segmenting effects emerged. The area under the receiver operating characteristic (ROC) curve (AUC) and Hosmer-Lemeshow test were conducted to evaluate the performance of AIP in identifying MDD. Subgroup analyses and interaction tests were used to explore whether the association was stable in different populations.

Results

A positive correlation between AIP and PHQ-9 score and MDD was both observed in 7,951 subjects included in the study, with a significant threshold of -0.42 determined using recursive partitioning analysis. In the fully adjusted model, a positive association between AIP and PHQ-9 score and MDD was observed (β=0.46, 95% CI 0.14~0.78; OR=1.42, 95% CI 1.04~1.93). Individuals in the highest AIP quartile had a 0.39-unit higher PHQ-9 score (β=0.39, 95% CI 0.12~0.66) and a significantly 33% greater risk of MDD than those in the lowest AIP quartile (OR=1.33, 95% CI 1.02~1.73). Spline smoothing plot analysis further confirmed the positive and non-linear association between AIP and PHQ-9 and MDD. ROC analysis (AUC=0.771) and the Hosmer-Lemeshow test (χ2 = 14.239, P=0.076) suggested an excellent performance and goodness-of-fit of the relatively optimal model. DCA and CIC analysis also revealed a favorable overall net benefit and clinical impact of the model. Subgroup analyses and interaction tests revealed that the association between AIP and PHQ-9 score and MDD remained consistent across different subgroups and was not modified by other covariates, and this positive correlation was more pronounced in those with diabetes or hypertension.

Conclusion

An elevated AIP is linked to a higher chance of MDD, especially in those with diabetes or hypertension. Resolving dyslipidemia and managing comorbidities may help reduce the likelihood of developing MDD.

A large-scale study on uric acid-related biomarkers in patients with bipolar disorder

OBJECTIVE

Recent research has provided strong evidence supporting the use of uric acid-related ratios as potential biomarkers for disease diagnosis. Notable ratios among these include uric acid-to-albumin ratio (UAR), uric acid-to-creatinine ratio (UCR), uric acid-to-high-density lipoprotein ratio (UHR), and uric acid-to-lymphocyte ratio (ULR). The aim of the study is to analyze these biomarkers in bipolar disorder (BD) patients.

METHODS

5465 BD patients were enrolled in this study and 6629 healthy subjects served as controls. We compared differences of the above ratio indicators among different BD diagnostic groups and analyzed factors leading to the onset of BD.

RESULTS

BD-M (manic episodes of BD) group had higher ULR, UHR, UCR, UAR than HC (Heathy Controls) and BD-D (depressive episodes of BD) groups, while BD-D group showed lower ULR and UCR than HC group. P-BD-M (BD-M with psychotic symptoms) group displayed higher ULR, UHR, UCR, UAR than HC group, while even higher ULR, UHR, UAR than NP-BD-M (BD-M without psychotic symptoms) group. High UAR was risk factor in BD-M.

CONCLUSIONS

Our study suggests BD-M has more intense inflammatory response than BD-D. Furthermore, there is heterogeneity in the pathogenesis of psychotic symptoms between BD-M and BD-D. Additionally, High UAR was risk factor in BD-M.

Exploring the possible therapeutic mechanism of Danzhixiaoyao pills in depression and MAFLD based on "Homotherapy for heteropathy": A network pharmacology and molecular docking

Objective

Danzhixiaoyao pills (DXP) is a traditional Chinese medicine formula that has been effectively used in clinical practice to treat depression and metabolic associated fatty liver disease (MAFLD), but its therapeutic mechanism is not yet clear. The purpose of this study is to explore the possible mechanisms of DXP in treating depression and MAFLD using network pharmacology and molecular docking techniques based on existing literature reports.

Methods

By combining TCMSP, Swiss ADME, Swiss TargetPrediction, and UniProt databases, the active ingredients and potential targets of DXP were screened and obtained. By searching for relevant disease targets through Gene Cards, OMIM, and TTD databases, intersection targets between drugs and diseases were obtained. The network of "Disease - Potential targets - Active ingredients - Traditional Chinese medicine - Prescriptions" was constructed using Cytoscape 3.9.1 software, and the PPI network was constructed using STRING 12.0 database. The core targets were obtained through topology analysis. GO function enrichment and KEGG pathway enrichment analysis were conducted based on DAVID. The above results were validated by molecular docking using PyMol 2.5 and AutoDock Tool 1.5.7 software, and their possible therapeutic mechanisms were discussed.

Results

Network pharmacology analysis obtained 130 main active ingredients of drugs, 173 intersection targets between drugs and diseases, and 37 core targets. Enrichment analysis obtained 1390 GO functional enrichment results, of which 922 were related to biological process, 107 were related to cellular component, 174 were related to molecular function, and obtained 180 KEGG pathways. Molecular docking has confirmed the good binding ability between relevant components and targets, and the literature discussion has preliminarily verified the above results.

Conclusion

DXP can act on targets such as TNF, AKT1, ALB, IL1B, TP53 through active ingredients such as kaempferol, quercetin, naringenin, isorhamnetin, glyuranolide, etc, and by regulating signaling pathways such as pathways in cancer, MAPK signaling pathway, lipid and atherosclerosis, to exert its effect of "homotherapy for heteropathy" on depression and MAFLD. In addition, glyuranolide showed the strongest affinity with TNF (-7.88 kcal/mol), suggesting that it may play a key role in the treatment process. The research results provide a theoretical basis for elucidating the scientific connotation and mechanism of action of traditional Chinese medicine compound DXP, and provide new directions for its clinical application.

Acute hyper-hypoxia accelerates the development of depression in mice via the IL-6/PGC1α/MFN2 signaling pathway

Background

Neural cell damage is an important cause of exacerbation of depression symptoms caused by hypoxia, but the mechanism behind it is still unclear. The purpose of this study is to elucidate the role of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α)/mitofusin-2 (MFN2) signaling axis in the development of depression in mice under hypoxia.

Methods

Male Institute of Cancer Research mice (age, 6 weeks) were assigned to the normal group, chronic unpredictable mild stress group (CUMS group), or CUMS + hyper-hypoxia group (CUMS + H group). Mice in the CUMS and CUMS + H groups were exposed to CUMS for 28 days. Additionally, mice in the CUMS + H group were exposed to acute hyper-hypoxia from Day 21 for 7 days. After a total of 28 days, behavioral experiments were conducted. All mice were anesthetized and sacrificed. Levels of brain tissue interleukin (IL)-6, reactive oxygen species (ROS), adenosine triphosphate (ATP), and serotonin (5-HT) were analyzed.

Results

As compared to the CUMS group, mice in the CUMS + H group had increased IL-6 and ROS levels, but lower open-field activity, preference for sucrose, hippocampal neuronal membrane potential, ATP, and 5-HT levels, as well as MFN2 and PGC1α levels.

Conclusions

Acute hyper-hypoxia plays an important role in the development of depression via the IL-6/PGC1α/MFN2 signaling pathway.

Enzymatic biomarkers of oxidative stress in patients with depressive disorders. A systematic review

Oxidative stress (OS) results from the imbalance between the production of reactive oxygen species and the body's antioxidant mechanisms and is associated with various diseases, including depression. Antioxidants protect cells by neutralizing free radicals and include enzymatic components such as superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX), glutathione reductase (GR), and glutathione S-transferase (GST). The concentration of these biomarkers can quantify OS. This research aimed to gather available information published in the last ten years about the concentration of enzymatic OS biomarkers in samples from patients with depressive disorders.

METHOD

A systematic review was conducted following the PRISMA guidelines, including original scientific articles that evaluated enzymatic OS biomarkers in participants with depressive disorders, using the keywords and boolean operators "superoxide dismutase" OR "catalase" OR "glutathione" AND "depress*" in the databases PubMed, SAGE Journals, DOAJ, Scielo, Dialnet, and Redalyc.

RESULTS

The initial search showed 614 results, with only 28 articles meeting the selection criteria. It was observed that all evaluated oxidative stress enzymatic markers showed a significant increase or decrease in patients with depressive disorders, due to a wide variability in the depressive disorders studied, the type of biological sample analyzed, and the techniques used.

CONCLUSION

There is evidence of the relationship between enzymatic OS biomarkers and depressive disorders, but additional studies are needed to clarify the nature of this relationship, particularly considering the different types of depressive disorders.

The value of the platelet/high-density lipoprotein cholesterol ratio in predicting depression and its cardiovascular disease mortality: a population-based observational study

Background

Cardiovascular disease (CVD) and depression have a bidirectional association, with inflammation and metabolic factors being common important triggers for both conditions. However, as a novel inflammatory and metabolic marker, platelet-to-HDL-C ratio (PHR) has not been established in relation to depression and cardiovascular disease.

Materials and methods

Participants aged 20 years and older were included in the 2005-2018 NHANES database. PHR was calculated as the ratio of platelet count (1000 cells/μL) to HDL-C (mmol/L). The Patient Health Questionnaire (PHQ-9) was used to diagnose depression, with a cutoff value of 10. Weighted logistic regression analysis and restricted cubic spline (RCS) analysis were employed to examine the association between PHR and depression-related features. Additionally, weighted COX regression and RCS were used to analyze the association of PHR with CVD mortality in patients with depression. Receiver operating characteristic curves were used to assess whether PHR had an advantage over HDL-C in predicting depression. Finally, the mediating role of PHR in the latest cardiovascular health indicator Life's Essential 8 and depression was explored.

Results

A total of 26,970 eligible participants were included, including 2,308 individuals with depression, representing approximately 160 million U.S. adults when weighted. After full adjustment, we estimated that the odds ratio (OR) of depression associated with a per standard deviation (SD) increase in PHR was 1.06 (95% CI: 1.01-1.12, P=0.03). The restricted cubic spline (RCS) analysis indicated a linear association (Nonlinear P=0.113). When PHR was divided into four groups based on quartiles and included in the model after full adjustment for depression risk factors, participants in quartile 2, quartile 3, and quartile 4 of PHR showed a trend of increasing risk of depression compared to the lowest quartile group (P trend=0.01). In addition, weighted COX regression and RCS revealed that a per SD increase in PHR was associated with a higher risk of CVD mortality among patients with depression (HR: 1.38, 95% CI: 1.05-1.81, P=0.02, Nonlinear P=0.400). Subgroup analyses showed that current alcohol consumption enhanced the association between PHR and depression (P for interaction=0.017). Furthermore, the areas under the ROC curves (AUC) were 0.556 (95% CI, 0.544-0.568; P < 0.001) for PHR and 0.536 (95% CI, 0.524-0.549; P < 0.001) for HDL-C (PDeLong = 0.025). Finally, mediation analysis indicated that PHR was an intermediate mechanism between LE8 and depression (mediation proportion=5.02%, P=0.02).

Conclusion

In U.S. adults, an increase in PHR linearly increases the risk of depression and CVD mortality among individuals with depression. Additionally, PHR has a better predictive advantage for depression compared to HDL-C. Furthermore, PHR significantly mediates the association between LE8 scores and depression.

Association between neutrophil to high-density lipoprotein cholesterol ratio (NHR) and depression symptoms among the United States adults: a cross-sectional study

BACKGROUND

Depression acts as a noteworthy worldwide public health challenge. Identifying accessible biomarkers is crucial for early diagnosis and intervention. The relationship between depression in adult Americans and the neutrophil to high-density lipoprotein cholesterol ratio (NHR) was investigated in this research.

METHODS

The relationship between NHR and depressive symptoms was analyzed utilizing National Health and Nutrition Examination Survey data from 2005 to 2018 and the Patient Health Questionnaire-9. The study included 33,871 participants with complete NHR and depression data. Adjusted multivariable logistic regression models were used to account for possible confounders, and subgroup analyses were conducted to investigate effect changes.

RESULTS

Elevated NHR levels were positively correlated with a heightened risk of depression (OR = 1.03, 95% CI: 1.01-1.05, P < 0.0005). After the NHR was divided into tertiles, those in the top tertile had an 18% higher chance of developing depression than those in the bottom tertile (OR = 1.18; 95% CI: 1.05-1.32; P for trend = 0.0041). Subgroup analyses revealed variations in this association based on race and marital status. Additionally, the relationship between NHR and depression demonstrated a U-shaped pattern, with a significant breakpoint identified at an NHR of 6.97.

CONCLUSION

These results imply that the NHR may be a potential biomarker for depression risk, with implications for early detection and personalized treatment. Further research is needed to elucidate the mechanisms underlying the NHR-depression link and establish causality.

Pharmacological mechanism of natural antidepressants: The role of mitochondrial quality control

BACKGROUND

Depression is a mental illness characterized by persistent sadness and a reduced capacity for pleasure. In clinical practice, SSRIs and other medications are commonly used for therapy, despite their various side effects. Natural products present distinct advantages, including synergistic interactions among multiple components and targeting multiple pathways, suggesting their tremendous potential in depression treatment. Imbalance in mitochondrial quality control (MQC) plays a significant role in the pathology of depression, emphasizing the importance of regulating MQC as a potential intervention strategy in addressing the onset and progression of depression. However, the role and mechanism through which natural products regulate MQC in depression treatments still need to be comprehensively elucidated, particularly in clinical and preclinical settings.

PURPOSE

This review was aimed to summarize the findings of recent studies and outline the pharmacological mechanisms by which natural products modulate MQC to exert antidepressant effects. Additionally, it evaluated current research limitations and proposed new strategies for future preclinical and clinical applications in the depression domain.

METHODS

To study the main pharmacological mechanisms underlying the regulation of MQC by natural products in the treatment of depression, we conducted a thorough search across databases such as PubMed, Web of Science, and ScienceDirect databases to classify and summarize the relationship between MQC and depression, as well as the regulatory mechanisms of natural products.

RESULTS

Numerous studies have shown that irregularities in the MQC system play an important role in the pathology of depression, and the regulation of the MQC system is involved in antidepressant treatments. Natural products mainly regulate the MQC system to induce antidepressant effects by alleviating oxidative stress, balancing ATP levels, promoting mitophagy, maintaining calcium homeostasis, optimizing mitochondrial dynamics, regulating mitochondrial membrane potential, and enhancing mitochondrial biogenesis.

CONCLUSIONS

We comprehensively summarized the regulation of natural products on the MQC system in antidepressants, providing a unique perspective for the application of natural products within antidepressant therapy. However, extensive efforts are imperative in clinical and preclinical investigations to delve deeper into the mechanisms underlying how antidepressant medications impact MQC, which is crucial for the development of effective antidepressant treatments.

Pro-inflammatory cytokines in stress-induced depression: Novel insights into mechanisms and promising therapeutic strategies

Stress-mediated depression is one of the common psychiatric disorders with a high prevalence and suicide rate, there is a lack of effective treatment. Accordingly, effective treatments with few adverse effects are urgently needed. Pro-inflammatory cytokines (PICs) may play a key role in stress-mediated depression. Thereupon, both preclinical and clinical studies have found higher levels of IL-1β, TNF-α and IL-6 in peripheral blood and brain tissue of patients with depression. Recent studies have found PICs cause depression by affecting neuroinflammation, monoamine neurotransmitters, hypothalamic pituitary adrenal axis and neuroplasticity. Moreover, they play an important role in the symptom, development and progression of depression, maybe a potential diagnostic and therapeutic marker of depression. In addition, well-established antidepressant therapies have some relief on high levels of PICs. Importantly, anti-inflammatory drugs relieve depressive symptoms by reducing levels of PICs. Collectively, reducing PICs may represent a promising therapeutic strategy for depression.

Potential antidepressant effects of Traditional Chinese botanical drug formula Chaihu-Shugan-San and its active ingredients

Background: Depression is a severe mental disorder that poses a significant threat to both the physical and mental wellbeing of individuals. Currently, there are various methods for treating depression, including traditional Chinese herbal formulations like Chaihu-Shugan-San (CSS), which have shown effective antidepressant effects in both clinical and animal research. Objective: This review aims to provide a comprehensive synthesis of evidence related to CSS, considering both preclinical and clinical studies, to uncover its potential multi-level, multi-pathway, and multi-target mechanisms for treating depression and identify its active ingredients. Methods: A thorough search was conducted in electronic databases, including PubMed, MEDLINE, Web of Science, Google Scholar, CNKI, and Wanfang, using keywords such as "Chaihu Shugan" and "depression" to retrieve relevant literature on CSS and its active ingredients. The review process adhered to the PRISMA guidelines. Results: This review consolidates the mechanisms underlying antidepressant effects of CSS and its active ingredients. It emphasizes its involvement in the regulation of monoaminergic neurotransmitter systems, synaptic plasticity, and the hypothalamic-pituitary-adrenal axis, among other aspects. Conclusion: CSS exerts a pivotal role in treating depression through various pathways, including the monoaminergic neurotransmitter system, the hypothalamic-pituitary-adrenal axis, synaptic plasticity, inflammation, brain-derived neurotrophic factor levels, and the brain-gut axis. This review facilitates a comprehensive understanding of the current state of CSS research, fostering an in-depth exploration of the etiological mechanisms of depression and the potential discovery of novel antidepressant drugs.

The Antidiabetic Drug Metformin Attenuated Depressive and Anxiety-like Behaviors and Oxidative Stress in the Brain in a Rodent Model of Inflammation Induced by Lipopolysaccharide in Male Rats

BACKGROUND

Inflammation is considered to be a link between diabetes and central nervous system (CNS) disorders, including depression and anxiety. Metformin is suggested to have antioxidant, anti-inflammatory, and mood-improving effects. The aim of the current research was to investigate the effects of the antidiabetic drug metformin on depressive- and anxiety- like behaviors and oxidative stress in the brain in a rodent model of inflammation induced by lipopolysaccharide (LPS) in male rats.

MATERIALS AND METHODS

The rats were treated as follows: (1) Vehicle instead of metformin and lipopolysaccharide, (2) Lipopolysaccharide (1 mg/ kg) + vehicle instead of metformin, (3-5) Lipopolysaccharide + 50, 100, or 150 mg/ kg of metformin. After the behavioral tests, including open field (OF), elevated pulse maze (EPM), and force swimming (FS) tests, the brains were removed, and malondialdehyde (MDA), nitric oxide (NO) metabolites, total thiol, catalase (CAT) activity, interleukin-6 (IL-6) and superoxide dismutase (SOD) activity were determined.

RESULTS

In the EPM, metformin increased the open arm time and entry and decreased closed arm time and entry. In the FS test, metformin lowered the immobility and increased active time compared to lipopolysaccharide. In the OF test, metformin increased total crossing and total distance, time spent, traveled distance, and crossing number in the central zone. As a result of metformin administration, IL-6, MDA, and NO metabolites were decreased while thiol content, SOD, and CAT activity were increased.

CONCLUSION

The results indicated that the well-known antidiabetic drug metformin attenuated depressive- and anxiety-like behaviors induced by inflammation in rats. These beneficial effects are suggested to be due to their attenuating effects on neuroinflammation, oxidative stress, and NO in the brain.