The impact of psychological stress on physiological indicators in healthcare workers: a cross-sectional study.

Background: Medical health workers play an essential role in the healthcare system and face unique workplace stressors. However, the impact of psychological stress on their physical health has received less attention compared to the general population. Methods: We retrospectively analyzed the Self-rating Depression Scale (SDS) questionnaires and blood testing results from 1963 medical health workers. Multivariate linear regression analysis using a backward stepwise selection strategy to identify physical examination indicators that were significantly affected by depression. Results: Depression severity, as measured by SDS index score, was positively correlated with the levels of hemoglobin (coefficient 0.0027, p = 0.0412), platelet count (coefficient 0.0005, p = 0.0198), and uric acid (coefficient 0.0004, p = 0.0492), while negatively correlated with red blood cell count (coefficient-0.0895, p = 0.0406). Similar results were observed in the subgroup analysis stratified by age and sex. Conclusion: Our study found a significant association between higher levels of depression and specific physiological indicators in healthcare professionals, including elevated hemoglobin, platelet counts, and uric acid levels, as well as decreased red blood cell counts. These changes in blood parameters may reflect underlying physiological stress and inflammation, potentially increasing overall health risks for healthcare workers. Addressing these physiological changes may be crucial for mitigating the health risks associated with depression. To validate our findings and develop targeted interventions, larger multi-center studies are needed to further explore the relationship between depression severity and blood parameters in healthcare professionals.

Association between triglyceride and depression: A systematic review and meta-analysis.

Depression is accompanied by dyslipidemia, which may increase the risk of stroke and coronary heart disease. This study sought to quantitatively summarize the clinical data comparing peripheral blood triglyceride (TG) concentrations between patients with major depressive disorder (MDD) and healthy controls (HCs). Studies were searched in PubMed, EMBASE, PsycINFO, and Cochrane Databases up to March 2023. We also reviewed the reference lists of obtained articles. Mean (±SD) for TG concentrations were extracted, combined quantitatively using random-effects meta-analysis, and summarized as a standardized mean difference (SMD). Subgroup analysis and meta-regression was performed to explore the resource of heterogeneity. Thirty-eight studies measuring the concentrations of peripheral blood TG in 2604 patients with MDD and 3272 HCs were included. Meta-analysis results indicated that TG levels were significant higher in patients with MDD than in HCs (SMD = 0.31, 95% confidence interval [CI]: 0.16 to 0.46, Z46 = 4.05, p < 0.01). Heterogeneity was detected (χ2 = 269.97, p < 0.01, I2 = 85%). Subgroup analysis demonstrated significant differences in TG levels between patients with MDD and HCs depended on age, body mass index and drug use (p < 0.05), but no differences between groups. Meta-regression also found no significant variables. TG level was significantly elevated in depression, which may explain the increased risk of cardiovascular and cerebrovascular events in depression.

Sex-specific associations between levels of high-sensitivity C-reactive protein and severity of depression: retrospective cross-sectional analysis of inpatients in China.

BACKGROUND: We aimed to clarify the controversial relationship between levels of high-sensitivity C-reactive protein (hs-CRP) and severity of depression in men and women. METHODS: Medical records were retrospectively analyzed for 1,236 inpatients at our medical center who were diagnosed with depression at discharge between January 2018 and August 2022. Depression severity was assessed during hospitalization using the 24-item Hamilton Depression Rating Scale. Potential associations between severity scores and hs-CRP levels were explored using multivariate linear regression as well as smooth curve fitting to detect non-linear patterns. RESULTS: In male patients, hs-CRP levels between 2.00 mg/L and 10.00 mg/L showed a non-linear association with depression severity overall (fully adjusted ß = 1.69, 95% CI 0.65 to 2.72), as well as with severity of specific symptoms such as hopelessness, sluggishness, and cognitive disturbance. In female patients, hs-CRP levels showed a linear association with severity of cognitive disturbance (fully adjusted ß = 0.07, 95% CI 0.01 to 0.12). These results remained significant after adjusting for age, body mass index, diabetes, hypertension, history of drinking, history of smoking, and estradiol levels. DISCUSSION: Levels of hs-CRP show sex-specific associations with depression severity, particularly levels between 2.00 and 10.00 mg/L in men. These findings may help develop personalized anti-inflammatory treatments for depression, particularly for men with hs-CRP levels of 2.00-10.00 mg/L.

Serum Metabolomics Analysis Revealed Metabolic Pathways Related to AECOPD Complicated with Anxiety and Depression.

Background: Anxiety and depression are two of the most common comorbidities of COPD, which can directly lead to the number of acute exacerbations and hospitalizations of COPD patients and reduce their quality of life. At present, there are many studies on anxiety and depression in stable COPD, but few studies on anxiety and depression in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients. Objective: We aim to explore the changes of serum metabolomics in AECOPD complicated with anxiety and depression and to provide some clues for further understanding its pathogenesis. Methods: This is an observational high-throughput experimental study based on retrospective data extraction. Twenty-one AECOPD with anxiety and depressive patients and 17 healthy controls (HCs) were retrospectively enrolled in the Second Affiliated Hospital of Anhui Medical University. Hamilton anxiety scale (HAMA) and Hamilton depression scale (HAMD) for anxiety and depression were used to assess the patients with AECOPD. Untargeted metabolomics analysis was carried out to investigate different molecules in the serum of all participants. General information of all participants, baseline data and clinical measurement data of AECOPD patients were collected. Statistical analysis and bioinformatics analysis were performed to reveal different metabolites and perturbed metabolic pathways. Results: A total of 724 metabolites in positive ionization mode and 555 metabolites in negative ionization mode were different in AECOPD patients with anxiety and depression. The 1,279 serum metabolites could be divided into 77 categories. Based on multivariate and univariate analysis, 74 metabolites were detected in positive ionization mode, and 60 metabolites were detected in negative ionization as differential metabolites. The 134 metabolites were enriched in 18 pathways, including biosynthesis of unsaturated fatty acids, aldosterone synthesis and secretion, protein digestion and absorption, ovarian steroidogenesis, long-term depression, retrograde endocannabinoid signaling, and so on. Conclusion: This work highlights the key metabolites and metabolic pathways disturbed in AECOPD patients with anxiety and depression. These findings support the use of metabolomics to understand the pathogenic mechanisms involved in AECOPD patients with anxiety and depression.

Associations between plasma markers and symptoms of anxiety and depression in patients with breast cancer.

BACKGROUND AND PURPOSE: Among patients with solid tumors, those with breast cancer (BC) experience the most severe psychological issues, exhibiting a high global prevalence of depression that negatively impacts prognosis. Depression can be easily missed, and clinical markers for its diagnosis are lacking. Therefore, this study in order to investigate the diagnostic markers for BC patients with depression and anxiety and explore the specific changes of metabolism. METHOD AND RESULTS: Thirty-eight BC patients and thirty-six matched healthy controls were included in the study. The anxiety and depression symptoms of the participants were evaluated by the 17-item Hamilton Depression Scale (HAMD-17) and Hamilton Anxiety Scale (HAMA). Plasma levels of glial fibrillary acidic protein (GFAP) and lipocalin-2 (LCN2) were evaluated using enzyme linked immunosorbent assay, and plasma lactate levels and metabolic characteristics were analyzed. CONCLUSION: This study revealed that GFAP and LCN2 may be good diagnostic markers for anxiety or depression in patients with BC and that plasma lactate levels are also a good diagnostic marker for anxiety. In addition, specific changes in metabolism in patients with BC were preliminarily explored.

The impact of depression on platelet activation, cardiocerebral vascular events and arteriovenous fistula dysfunction in patients undergoing haemodialysis.

Depression is a common psychiatric disorder among patients undergoing maintenance haemodialysis (MHD). Depression may reportedly contribute to poor prognosis in several ways, including its effects on platelet function. We hypothesised that depression contributes to the occurrence of cardiocerebral vascular events (CCVE) and dysfunction of arteriovenous fistula (DAVF) in patients undergoing MHD through its effects on platelets. In this prospective cohort study, patients undergoing MHD were recruited and divided into depression and non-depression groups according to their Hamilton Depression Scale (HAMD) scores. The 286 enrolled patients had 103 occurrences of depressive symptoms (prevalence = 36.01%). Compared with the non-depression group, depression group had a significantly higher cumulative prevalence of CCVE and DAVF during follow-up. Cox regression analysis indicated that higher HAMD scores and lower plasma platelet distribution width (PDW) were common risk factors for CCVE and DAVF. Furthermore, HAMD scores were significantly negatively correlated with plasma PDW and was the main variable affecting changes in PDW, as indicated by multiple linear regression analysis. Depression may increase the risk of CCVE and DAVF in patients undergoing MHD by activating platelets. Plasma PDW may be a convenient indicator of platelet activation status and may predict the risk of CCVE and DAVF.

[Significance of immunological markers in patients with obstructive sleep apnea and comorbid pathology]. / Znachimost' immunologicheskikh markerov u patsientov s obstruktivnym apnoe sna i komorbidnoi patologiei.

OBJECTIVE: To determine the significance of immunological markers in patients with obstructive sleep apnea (OSA) and comorbid pathology. MATERIAL AND METHODS: Sixty-five patients were examined. Two groups of patients were distinguished: the main group with moderate and severe OSA and the control group without OSA. The subjects underwent anthropometry, polysomnography, assessment of cognitive and emotional disorders. Glial fibrillar acidic protein (GFAP), antibodies against NR1-NR2 subunits of NMDA receptors (AT to GRIN2A) and the acetylcholine receptor (AT to AChR), and brain-derived neurotrophic factor (BDNF) were studied by enzyme immunoassay. RESULTS: In patients with OSA, indicators of markers: GFAP (p=0.017), BDNF (p=0.006), antibodies to AChR (p=0.002), as well as chronic cerebral ischemia (p=0.000), depression on the HADS (p=0.004) and the Beck scale (p=0.000), drowsiness on the Epworth scale (p=0.001), asthenia on the visual analogue scale (p=0.000) and the MFI 20 (p=0.013) were higher than in the control group. A relationship was established in the main group between the identified subjective disorders on the Mini-Mental State Examination scale (MMSE) and BDNF (r=0.302, p=0.014) and the average score on the MMSE and BDNF (r=-0.266, p=0.032). CONCLUSION: The results demonstrate the relationship of neurospecific proteins with cognitive impairment in patients with OSA. The neuromarker GFAP in patients with sleep apnea has shown itself to be a predictor of decreased neurogenesis, and BDNF as a representative marker of neuroplasticity. Large values of AT to AChR in patients with OSA may indicate possible neuromuscular transmission disorders. Along with drowsiness and asthenia, patients with OSA have changes in the emotional background, mainly due to depression. The severity of depression and the severity of asthenia increase with increasing severity of apnea and are probably associated with low levels of saturation, which in turn leads to dysregulation of the prefrontal cortex, hippocampus and amygdala.

The association between depression and thyroid function.

Background: Emerging evidence indicated that depression is currently one of the most burdensome diseases worldwide, and it can lead to a variety of functional physical impairments. However, the studies estimated the association between depression and thyroid function remain sparse. We aimed to investigate the association between depression and thyroid function in the American population. Methods: A cross-sectional analysis was performed using the data from the National Health and Nutrition Examination Survey conducted from 2007 to 2012. In the 12,502 adults aged 20-80 years, weighted linear regression models and multiple logistic regression models were applied to evaluate the association between depression and thyroid function indicators. The thyroid indicators investigated were mainly free thyroxine (FT4), total T4 (TT4), free triiodothyronine (FT3), total T3 (TT3), thyroid-stimulating hormone (TSH), and antithyroperoxidase antibody (TPOAb), thyroglobulin (Tg) and antithyroglobulin antibody (TgAb). Results: The final results were reached after adjusting for various confounding factors. In the stratification analysis of subgroups divided by age, depression was significantly negatively correlated with FT4, FT3, and TT3 in both younger adults (p = 0.00122, p < 0.00001, and p = 0.00003) and older adults (p = 0.00001, p = 0.00004, and p < 0.00001). In contrast, depression was significantly negatively correlated with TT4 and Tg in older adults (p = 0.00054, p = 0.00695) and positively correlated in younger adults (p = 0.01352, p < 0.00001). The subgroup analysis by gender revealed that depression was significantly negatively correlated with FT4, FT3, and TT3 in both adult males (p = 0.0164, p = 0.0204, and p = 0.0050) and adult females (p ≤ 0.0001, p < 0.0001, and p < 0.0001), which was more prominent in females. The positive correlation between depression symptoms and TPOAb was only found in adult females (p = 0.0282) and younger adults (p = 0.00488). Conclusion: This study confirmed a significant correlation between depressive and thyroid function and it varied among different genders or age. In the future, more prospective studies are needed to reveal these findings and confirm a causal relationship between them.

Walking away from depression: the mediating role of walking activity in depression impacting blood glucose levels of people with diabetes or prediabetes.

Introduction: Depression can exacerbate diabetes by impairing self-care behaviors and increasing the risk of complication; however, the underlying mechanism is still unclear. Given the suggested associations between walking activity, depression status, and blood glucose levels this study explores the intricate relationship between depression and blood glucose (BG) control, with a focus on walking activity as a behavioral mediator. The purpose of this study is to examine walking activity's mediating role in depression's impact on BG levels, investigating and validating the non-linear association between BG levels and walking activity. This retrospective real-world study demonstrates the potential of regular walking activity as a simple and accessible intervention to mitigate the negative effects of depression on BG levels in T2D and prediabetes. Methods: A cohort of 989 users with T2D and prediabetes, who regularly tracked their steps levels and BG levels for 12 months using the Dario digital health platform was evaluated. The mediating role of the monthly average number of steps on the relationship between the self-reported depression status and lagged monthly average BG was assessed. Additionally, the association between monthly walking activity and monthly average BG was tested using a piecewise linear mixed effects model. Results: Users with self-reported depression demonstrated increased BG levels compared to users without depression (B=8.00, P=.01). The association between depression and monthly average number of steps was significant (B=-.27, P<.005) and monthly average number of steps significantly predicted the following months' average BG (B=-.81, P=.001), adjusting for depression. The monthly average number of steps significantly mediated the effect of self-reported depression on the following month's average BG (M=.22, P<.005). Further sensitivity analysis demonstrated model robustness over various periods. Finally, non-linear dynamics of walking activity over time was validated using unseen data showing a decrease in monthly average BG for users with over an average of 400 steps per day (B=-1.87, P<.01). Discussion: This study shows how regular walking may reduce the negative impact of depression on BG levels in people with T2D. Our findings advocate for the integration of walking activity into treatment protocols as a cost-effective, accessible intervention strategy to improve glycemic management and depressive symptoms in this population.

Relationship between the triglyceride-glucose index and depression in individuals with chronic kidney disease: A cross-sectional study from National Health and Nutrition Examination Survey 2005-2020.

Accumulating evidence indicates that individuals with chronic kidney disease (CKD) are at an increased risk of experiencing depressive disorders, which may accelerate its progression. However, the relationship between the triglyceride-glucose (TyG) index and depression in CKD individuals remains unclear. Therefore, this cross-sectional study aimed to assess whether such a relationship exists. To this end, the CKD cohort of the National Health and Nutrition Examination Survey from 2005 to 2020 was analyzed using multivariable logistic regression analyses and a generalized additive approach. A recursive algorithm was employed to pinpoint the turning point, constructing a dual-segment linear regression model. The study included 10,563 participants. After controlling for all variables, the odds ratios and 95% confidence intervals indicated a 1.24 (range, 1.09-1.42) relationship between the TyG index and depression in the CKD cohort. The findings underscored an asymmetrical association, with a pivotal value at a TyG index 9.29. Above this threshold, the adjusted odds ratio (95% confidence interval) was 1.10 (range, 0.93-1.31). This relationship was significant among the obese subgroups. The study results highlight the complex relationship between the TyG index and depression among American adults with CKD.

Neurofilament light chain as a promising biomarker for depression diagnosis: a systematic review and meta-analysis.

BACKGROUND: Depression is a prevalent and serious mental health disorder that significantly impacts daily life and functioning. Neurofilament Light chain (NfL), associated with axonal neuronal damage, has been identified as a promising biomarker, potentially aiding in early diagnosis of depression, personalized treatment, and tracking disease progression. This study used meta-analysis to evaluate the potential of plasma NfL as a biomarker for depression patients. METHODS: A systematic search following the PRISMA guidelines was conducted across PubMed, Web of Science, Scopus, and Google Scholar databases to find relevant studies on plasma NfL levels in patients with depression. A random effects model meta-analysis was applied to determine its potential as a biomarker for differentiating patients from controls. RESULTS: Our meta-analysis, based on four articles with six datasets, revealed that plasma NfL levels were notably higher in individuals with depression (228 cases) compared to healthy controls (118 individuals). The weighted mean difference (WMD) was 8.78 (95% CI: 5.28, 12.28; P < 0.01), indicating a significant effect size. Given the diverse confounding factors inherent in the included observational studies, the observed variability can be attributed to these influences. Due to the observed heterogeneity (heterogeneity Chi-Square: 54.91, p < 0.05), we performed a subgroup analysis. Subgroup analyses based on depression type and analysis method consistently supported the association between NfL and depression, strengthening the evidence. CONCLUSION: Our meta-analysis demonstrates that elevated NfL levels may serve as a promising biomarker for diagnosing depressive disorders. Further research on diverse subtypes and longitudinal changes is needed to validate its clinical utility.

Melatonin hormone level in nurses and factors affecting it; Investigation according to shift working pattern.

This study aimed to determine the relationship between melatonin hormone levels, sleep, and factors affecting sleep, psychological resilience, and depression in nurses working with a shift work system. Conducted between February 5-12, 2021, at the Training and Research Hospital in Agri province, the descriptive study included 41 night shift nurses and 35 day shift nurses, totaling 76 participants. Blood samples for melatonin analysis were collected and data were gathered using the Sociodemographic Information Form, Epworth Sleepiness Scale, Sleep Disorder Scale Short Form, Brief Psychological Resilience Scale, and Beck Depression Scale Short Form. Melatonin analysis was performed using the ELISA method. Statistical significance was set at p < 0.05. Results showed that sleep disorders were present in all nurses with <7 h of daily sleep. Factors such as the use of sleeping pills, marital status, age, and gender affected sleep disorders. Mean scores for melatonin levels were 67.82 ± 40.20 for night shift nurses and 68.08 ± 39.62 for day shift nurses, with no significant difference between shifts. Similarly, no significant differences were found in daytime sleepiness (7.49 ± 4.47 vs. 7.51 ± 4.65), sleep disturbance (24.71 ± 7.33 vs. 25.23 ± 6.64), psychological resilience (18.42 ± 4.19 vs. 17.89 ± 4.74), or depression (3.22 ± 2.60 vs. 3.49 ± 3.35). Nurses exhibited mild sleep disturbances, low depression tendencies, and moderate psychological resilience. Increased daytime sleepiness and sleep disorders correlated with higher depression tendencies and lower psychological resilience. Hospital management and education units are recommended to conduct interventions on sleep quality, depression, and psychological resilience to raise awareness among nurses.

Cognitive impairment and depression precede increased HDL-C levels in middle-aged and older Chinese adults: cross-lagged panel analyses.

BACKGROUND: High-density lipoprotein cholesterol (HDL-C) is widely recognized for its protective effects against cognitive decline. However, recent studies have presented conflicting results, with some suggesting no significant cognitive benefits or even an increased risk of dementia associated with high HDL-C levels. For those who suffer from depression, the cognitive benefits of HDL-C may be diminished or reversed. The purpose of this study is to investigate the associations between HDL-C, cognitive ability, and depressive symptoms in middle-aged and older Chinese adults. METHODS: The datasets utilized were sourced from the China Health and Retirement Longitudinal Study (CHARLS) for the years 2011 and 2015, comprising 4,302 participants. Cross-lagged models were employed to explore the temporal sequence between cognitive performance and HDL-C levels, and to examine the interplay among depression, cognition, and HDL-C. Confounding factors such as sociodemographic characteristics, sleep conditions, and history of chronic diseases were controlled for. RESULTS: The analysis revealed unidirectional effects of baseline impaired cognition and greater severity of depression on increased HDL-C levels at follow-up (ß = - 0.036 and ß = 0.028, respectively, P < 0.05). However, higher baseline HDL-C levels did not significantly predict cognitive performance or depression 4 years later (ß = - 0.008 and ß = 0.023, respectively, P > 0.05). Depressive symptoms and cognition were found to have a significant bidirectional association (ß = - 0.026 and ß = - 0.053, respectively, P < 0.05). CONCLUSIONS: Cognitive impairment and depression are associated with higher HDL-C levels, whereas higher HDL-C levels do not appear to protect against cognitive decline or depressive symptoms. These findings underscore the importance of preserving cognitive and mental health, which may lower the likelihood of cardiovascular disease and dementia. Future studies should validate these findings and develop targeted interventions tailored to specific populations.

The association between neutrophil percentage-to-albumin ratio (NPAR) and depression among US adults: a cross-sectional study.

Inflammation plays an important role in depression, and the neutrophil-to-albumin ratio (NPAR) is a cost-effective and readily available novel biomarker of inflammation. The association between NPAR and depression is unclear; therefore, to assess the relationship between NPAR and depression, we conducted a cross-sectional study of 33,768 participants ≥ 18 years of age from the 2005-2018 NHANES database. NPAR was calculated as Neutrophil percentage (in total WBC count) (%) × 100/Albumin (g/dL). Multivariate logistic regression models were used to test the independent association between NPAR and depression, adjusting for demographic factors, education, smoking status, alcohol consumption, hypertension, diabetes mellitus, body mass index, the ratio of income to poverty, and history of cardiovascular disease. Results showed that NPAR was significantly and positively associated with depression. When NPAR were analyzed as a categorical variable, there was a 20% increase in the prevalence of depression in the quartile with the highest NPAR compared to the quartile with the lowest NPAR (OR 1.20[95% CI 1.06, 1.36]). Smoothed curve fitting and threshold effect analyses also showed a positive association between NPAR and depression, with an inflection point for threshold and saturation effects of 12.65. NPAR was positively associated with the likelihood of developing depression when NPAR > 12.65 (OR 1.06[95% CI 1.04, 1.09]). The results of subgroup analyses and interaction tests indicated that smoking status had a significant effect on the relationship between NPAR and depression (P < 0.05). Our study reveals a positive association between NPAR levels and depression, suggesting that higher NPAR levels are associated with an increased likelihood of developing depression.

Association between plasma Netrin-1 levels and motor and nonmotor symptoms in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative disorder characterized by dopaminergic neuron degeneration and diverse motor and nonmotor symptoms. Early diagnosis and intervention are crucial but challenging due to reliance on clinical presentation. Recent research suggests potential biomarkers for early detection, including plasma netrin-1 (NTN-1), a protein implicated in neuronal survival. METHODS: This cross-sectional study recruited 105 PD patients and 65 healthy controls, assessing plasma NTN-1 levels and correlating them with clinical characteristics. Statistical analyses explored associations between NTN-1 levels and PD symptoms, considering demographic factors. RESULTS: PD patients exhibited significantly lower plasma NTN-1 levels compared to controls. NTN-1 demonstrated moderate potential as a PD biomarker. Positive correlations were found between NTN-1 levels and motor, depression, and cognitive symptoms. Multiple regression analysis revealed disease duration and NTN-1 levels as key factors influencing symptom severity. Gender also impacted symptom scores. CONCLUSION: Reduced plasma NTN-1 levels correlate with PD severity, suggesting its potential as a biomarker. However, further research is needed to elucidate the roles of NTN-1 in PD pathophysiology and validate its diagnostic and therapeutic implications. Understanding the involvement of NTN-1 may lead to personalized management strategies for PD.

An integration of neuroimaging and serum proteomics analysis suggests immune and inflammation are associated with white matter microstructure changes in cerebral small vessel disease with depressive symptoms.

INTRODUCTION: Depressive symptoms are a common concomitant of cerebral small vessel disease (CSVD), of which pathogenesis requires more study. White matter microstructural abnormalities and proteomic alternation have been widely reported regarding depression in the elderly with CSVD. Exploring the relationship between cerebral white matter microstructural alterations and serum proteins may complete the explanation of molecular mechanisms for the findings from neuroimaging research of CSVD combined with depressive symptoms. METHODS: An untargeted proteomics approach based on mass spectrometry was used to obtain serum proteomic profiles, which were clustered into co-expression protein modules. White matter microstructural integrity was measured using the FMRIB Software Library (FSL) and MATLAB to analyze diffusion tensor imaging (DTI) data and calculate the differences in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) for 50 regions of interest (ROI). Integrating the proteome with the DTI results, weighted gene co-expression analysis (WGCNA) was used to identify protein modules related to white matter microstructural alterations, and the proteins of the corresponding modules were analyzed for functional enrichment through bioinformatics techniques. RESULTS: DTI measurements were analCerebral small vessel disease (CSVD); Depression; Diffusion tensor imaging (DTI); Proteomics; Inflammationyzed between individuals with CSVD and depressive symptoms (CSVD+D) (n = 24) and those without depressive symptoms (CSVD-D) (n = 35). Results showed an overall increase in MD, AD, and RD within the left hemisphere of the CSVD+D group, suggesting widespread loss of white matter integrity and axonal demyelination, including left superior longitudinal fasciculus (SLF), left posterior corona radiata (PCR) and right external capsule (EC). We identified two protein modules associated with DTI diffusivity, and functional enrichment analyses revealed that complement and coagulation cascades and immune responses participate in the alternation of white matter microstructure in the CSVD+D group. CONCLUSION: The results suggested immune- and inflammation-related mechanism was associated with white matter microstructure changes in CSVD with depressive symptoms.

Greater perceived stress and lower cortisol concentration increase the odds of depressive symptoms among adolescents.

BACKGROUND: Adolescent depression is a major public health concern. Although stress has been linked to more severe depression, its association with mild depression among adolescents is not understood. This study assesses the relationship between perceived stress and cortisol (a physiologic measure of stress) and examines the relationships between these stress measures and depressive symptoms among adolescents 13-19 years of age. METHODS: Stress was measured with the Perceived Stress Scale-10 and through salivary sampling for cortisol four times throughout the day. The Patient Health Questionnaire-9 was used to measure depressive symptoms (range 0-27), where ≥5 indicated the threshold for experiencing at least mild depressive symptoms. Spearman coefficients and multiple logistic regression models were used to examine the relationships between our variables of interest. RESULTS: The mean age of the 73 participants in our study was 15.82 years. 49 % of the participants reported depressive symptoms (PHQ-9 score ≥ 5). Both higher perceived stress (odds ratio [OR] = 1.11, p = 0.022) and lower cortisol (area-under-the curve; AUCG) (OR = 0.99, p = 0.009) were associated with increased odds of having depressive symptoms. LIMITATIONS: Few participants had moderate to severe PHQ-9 depression, therefore our study reported findings on mild depression or greater. CONCLUSIONS: Perceived stress and cortisol appear to reflect distinct, independent components of the stress experience. However, both greater perceived stress and less circulating cortisol may indicate difficulties in regulating stress as potential factors underlying depressive symptoms. Future research should focus on the different types of adolescent stressors and the importance of routine screening of stress and depression, including mild depression.

Exploring the correlation between paediatric narcolepsy and serum neurofilament light chain levels: An exploratory study.

BACKGROUND: The study seeks to assess serum neurofilament light chain (NfL) levels in paediatric narcolepsy-diagnosed patients. Moreover, it aims to explore the correlation between NfL levels and the severity of narcolepsy symptoms, sleep quality, and manifestations of anxiety and depression. METHODS: This retrospective analysis included 98 paediatric narcolepsy cases and 100 controls matched for age and gender. The study focused on comparing serum NfL levels across these groups. Severity of EDS in patients was measured with the Epworth Sleepiness Scale (ESS). Moreover, the Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Rating Scale-24 (HAMD-24), and Hamilton Anxiety Scale-14 (HAMA-14) were used to assess narcolepsy symptoms, sleep quality, and psychological conditions. RESULTS: Patients with paediatric narcolepsy had significantly higher serum NfL levels than controls (P < 0.05). Additionally, a positive correlation was found between serum NfL levels and ESS scores (P < 0.001). An independent link between serum NfL and paediatric narcolepsy was established via multiple logistic regression (OR = 0.943, 95 % CI = 0.921-0.993, P = 0.004). Moreover, serum NfL's diagnostic precision for paediatric narcolepsy was evident from the ROC curve area of 0.938 (95 % CI: 0.86-0.99, P < 0.001). CONCLUSION: The study implies a positive correlation between increased serum NfL levels and the severity of paediatric narcolepsy. Nevertheless, the causative link between serum NfL levels and paediatric narcolepsy remains uncertain, highlighting the need for larger sample sizes and well-structured cohort studies to offer more definitive.

Association between triglyceride-glucose index and depression in patients with type 2 diabetes: A cross-sectional study from NHANES.

This cross-sectional study aimed to examine the association between the triglyceride-glucose (TyG) index and the prevalence of depression in individuals with type 2 diabetes. A nationally representative sample of 3225 individuals with type 2 diabetes was enrolled in this study. Multivariable logistic regression models were used to assess the association between the TyG index and depression, adjusting for potential confounding factors. After adjusting for age, gender, BMI, smoking, alcohol consumption, congestive heart failure, and coronary heart disease, a significant positive association was found between the TyG index and the prevalence of depression in individuals with type 2 diabetes (OR = 1.54, 95% CI: 1.21-1.95). Subgroup analyses showed consistent associations across various demographic and clinical subgroups. This study provides evidence of a significant independent positive association between the TyG index and the prevalence of depression in individuals with type 2 diabetes.

Exploring the bidirectional causal association between Sleep Apnea Syndrome and Depression: A Mendelian randomization study involving gut microbiota, serum metabolites, and inflammatory factors.

OBJECTIVE: This study aimed to investigate the potential causal association between Sleep Apnea Syndrome (SAS) and Depression, focusing on the roles of gut microbiota, serum metabolites, and inflammatory factors in these conditions. METHODS: Mendelian Randomization (MR) analysis was performed using data from genome-wide association studies to assess 211 types of gut microbiota, 1400 serum metabolites, and 91 inflammatory factors as potential contributing factors. Causal inference was conducted using the Inverse Variance Weighted (IVW) method, with additional robustness checks through Cochran's Q test, MR-Egger regression intercept test, MR-PRESSO global test, and leave-one-out analysis. RESULTS: The MR analysis indicated a positive correlation between the risk of SAS and Depression (OR = 1.12, 95 % CI: 1.05-1.19, P < 0.001), with a reciprocal analysis showing a similar positive correlation between Depression and the risk of SAS (OR = 1.19, 95 % CI: 1.07-1.31, P = 0.001). Additionally, causal associations were identified between 15 types of gut microbiota, 36 serum metabolites, and 2 inflammatory factors with SAS, and between 11 types of gut microbiota, 23 serum metabolites, and 3 inflammatory factors with Depression (IVW, all P < 0.05). The robustness of these findings was confirmed through the MR-Egger regression intercept test and MR-PRESSO global test. CONCLUSION: This study provides epidemiological evidence of a bidirectional causal association between SAS and Depression, emphasizing the potential roles of gut microbiota, serum metabolites, and inflammatory factors in the pathogenesis of these disorders. These findings may inform the development of new therapeutic strategies.