Inverse association between serum albumin and depressive symptoms among drug-free individuals with a recent suicide attempt

A study investigating how the albumin-globulin ratio relates to depression risk within U.S. adults: a cross-sectional analysis

Background

The relationship between the albumin-to-globulin ratio (AGR) and depression is not well understood. This analysis aims to investigate the relationship between AGR in conjunction with depression in U.S. adults.

Methods

This study analyzed information from 31,363 individuals collected by NHANES during the years 2005 to 2018. The PHQ-9 scale was employed to gauge depression, where a score of 10 or above signified depression. Weighted multivariable logistic modeling along with smooth curve fitting were applied to explore the AGR-depression connection. To confirm our findings, we carried out sensitivity analyses, subgroup analyses, and interaction tests.

Results

After adjusting for confounding variables, a higher AGR is associated with a lower risk of depression (OR = 0.61, 95% CI: 0.47-0.79). Dividing AGR into quartiles revealed that participants in the highest quartile (Q4) of AGR had a markedly lower risk of depression than those in the lowest quartile (Q1) (OR = 0.64, 95% CI: 0.53-0.77). Using smooth curve fitting, we suggested a possible linear inverse association connecting AGR with depression. Further subgroup and sensitivity analyses supported these findings, although factors such as diabetes and hypertension might influence the relationship.

Conclusion

Our findings indicate that elevated AGR levels correlate with a lower risk of depression. The findings suggest AGR as a potential biomarker for depression screening and prevention. Further studies are required to determine causality and clarify the mechanisms between AGR and depression.

Causal relationships between serum albumin, neuroticism and suicidal ideation in depressed patients: A Mendelian randomization study

Although serum albumin and neuroticism have revealed a strong association with suicidal ideation in individuals with depression, the causal relationship between them is uncertain. This study analyzed the causal association of serum albumin, neuroticism and suicidal ideation using large-scale GWAS data and Univariable Mendelian Randomization (UVMR) methods. The Multivariable MR (MVMR) analysis was used to explore the causal pathways. UVMR analysis revealed that genetically determined serum albumin is causally associated with neuroticism (β = -0.006 S.D.; 95 % CI: 0.009, -0.002; p = 0.003) and suicidal ideation (β = 0.009 S.D.; 95 % CI: 0.001, 0.016; p = 0.037); and that neuroticism mediates 100 % of the causal association between serum albumin and suicidal ideation in individuals with depression. These findings suggest genetic evidence for the causal effect of serum albumin on suicidal ideation in depressed patients and the significant mediation effect of neuroticism on this causal association. This study proves the protective role of serum albumin for neuroticism and the riskiness of personality traits for suicidal ideation in individuals with depression.

Associations between immune biomarkers and symptoms of anxiety, depression, and insomnia in paediatric inflammatory bowel disease: A preliminary longitudinal analysis

Innate immunity may influence the onset of affective symptoms and alter sleep patterns in chronic inflammatory conditions. Here, we tested the prospective associations between baseline serum C-reactive protein (CRP), albumin, and CRP/albumin ratio (CAR, i.e., an emerging biomarker of disease activity), and self-reported symptoms of anxiety, depression, and insomnia at 1-year follow up in paediatric inflammatory bowel disease (n = 17). After controlling for baseline values, CAR (ρ = 0.591, p = 0.026) predicted anxiety symptoms, while albumin predicted both anxiety (ρ = -0.687, p = 0.007) and insomnia symptoms (ρ = -0.648, p = 0.012). Current findings preliminarily suggest that inflammation may influence anxiety and sleep disturbance in paediatric IBD.

DeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health

Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. We developed DeepBiomarker2 by leveraging deep learning and natural language processing to analyze lab tests, medication use, diagnosis, social determinants of health (SDoH) parameters, and psychotherapy for outcome prediction. To increase the model's interpretability, we further refined our contribution analysis to identify key features by scaling with a factor from a reference feature. We applied DeepBiomarker2 to analyze the EMR data of 38,807 patients from the University of Pittsburgh Medical Center diagnosed with post-traumatic stress disorder (PTSD) to determine their risk of developing alcohol and substance use disorder (ASUD). DeepBiomarker2 predicted whether a PTSD patient would have a diagnosis of ASUD within the following 3 months with an average c-statistic (receiver operating characteristic AUC) of 0.93 and average F1 score, precision, and recall of 0.880, 0.895, and 0.866 in the test sets, respectively. Our study found that the medications clindamycin, enalapril, penicillin, valacyclovir, Xarelto/rivaroxaban, moxifloxacin, and atropine and the SDoH parameters access to psychotherapy, living in zip codes with a high normalized vegetative index, Gini index, and low-income segregation may have potential to reduce the risk of ASUDs in PTSD. In conclusion, the integration of SDoH information, coupled with the refined feature contribution analysis, empowers DeepBiomarker2 to accurately predict ASUD risk. Moreover, the model can further identify potential indicators of increased risk along with medications with beneficial effects.

Association between albumin and depression: a population-based study

INTRODUCTION

Albumin is the most prevalent plasma protein and is involved in a variety of critical physiological processes. Low serum albumin levels have been linked to depression symptoms in people who had recent suicide attempts and those suffering from several mental diseases such as acute episodes of mania, and schizophrenia. However, there has been little investigation into the relationship between depression and serum albumin levels in community-dwelling persons. This research aimed to examine the relationship between serum albumin and depression in a population-based sample and whether it differs depending on other possible confounders.

METHODS

Our data were derived from a national household population study conducted in 2017 with a sample size of 3,521 Jordanians aged > 17 years old. The Patient Health Questionnaire (PHQ-9) scale, a self-administered scale, was used to screen for depression. Concentrations of serum albumin and other medical biomarkers were measured by blood tests. Using descriptive statistics for depression distribution and multivariate logistic regression analysis, the connection between albumin levels and depression was investigated.

RESULTS

The odds ratios (ORs) for depression were significantly lower in the third and fourth quartiles of serum albumin concentration compared to the first quartile (OR = 0.64 and 0.66, respectively; P values = <0.001 and <0.001, respectively). This association was statistically significant even after controlling for variables such as gender, age, marital status, education, and occupation (OR = 0.67 and 0.75, respectively, and P values = 0.001 and 0.02, respectively), as well as after further controlling for other health status variables such as nutrition, comorbidity, body mass index, somking status, and biomedical markers such as serum calcium, phosphate, and magnesium (OR = 0.58 and 0.59, respectively, and P values = <0.001 and 0.001, respectively). Moreover, the unadjusted and adjusted odds ratios in the three regression models declined linearly with rising quartiles of serum albumin (P trend = <0.001, 0.009, and 0.001, respectively).

CONCLUSIONS

Our research found an inverse relationship between serum albumin and depression. Serum albumin could be a warning measure for depression. It is required for appropriate intervention measures to be implemented.

DeepBiomarker2: Prediction of alcohol and substance use disorder risk in post-traumatic stress disorder patients using electronic medical records and multiple social determinants of health

Introduction

Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. In our previous study, we developed a deep learning-based model, DeepBiomarker by utilizing electronic medical records (EMR) to predict the outcomes of patients with suicide-related events in post-traumatic stress disorder (PTSD) patients.

Methods

We improved our deep learning model to develop DeepBiomarker2 through data integration of multimodal information: lab tests, medication use, diagnosis, and social determinants of health (SDoH) parameters (both individual and neighborhood level) from EMR data for outcome prediction. We further refined our contribution analysis for identifying key factors. We applied DeepBiomarker2 to analyze EMR data of 38,807 patients from University of Pittsburgh Medical Center diagnosed with PTSD to determine their risk of developing alcohol and substance use disorder (ASUD).

Results

DeepBiomarker2 predicted whether a PTSD patient will have a diagnosis of ASUD within the following 3 months with a c-statistic (receiver operating characteristic AUC) of 0·93. We used contribution analysis technology to identify key lab tests, medication use and diagnosis for ASUD prediction. These identified factors imply that the regulation of the energy metabolism, blood circulation, inflammation, and microbiome is involved in shaping the pathophysiological pathways promoting ASUD risks in PTSD patients. Our study found protective medications such as oxybutynin, magnesium oxide, clindamycin, cetirizine, montelukast and venlafaxine all have a potential to reduce risk of ASUDs.

Discussion

DeepBiomarker2 can predict ASUD risk with high accuracy and can further identify potential risk factors along with medications with beneficial effects. We believe that our approach will help in personalized interventions of PTSD for a variety of clinical scenarios.

The Tryptophan Catabolite or Kynurenine Pathway in a Major Depressive Episode with Melancholia, Psychotic Features and Suicidal Behaviors: A Systematic Review and Meta-Analysis

Major depressive disorder (MDD) and bipolar disorder (BD) with melancholia and psychotic features and suicidal behaviors are accompanied by activated immune-inflammatory and oxidative pathways, which may stimulate indoleamine 2,3-dioxygenase (IDO), the first and rate-limiting enzyme of the tryptophan catabolite (TRYCAT) pathway resulting in increased tryptophan degradation and elevated tryptophan catabolites (TRYCTAs). The purpose of the current study is to systematically review and meta-analyze levels of TRP, its competing amino acids (CAAs) and TRYCATs in patients with severe affective disorders. Methods: PubMed, Google Scholar and SciFinder were searched in the present study and we recruited 35 studies to examine 4647 participants including 2332 unipolar (MDD) and bipolar (BD) depressed patients and 2315 healthy controls. Severe patients showed significant lower (p < 0.0001) TRP (standardized mean difference, SMD = -0.517, 95% confidence interval, CI: -0.735; -0.299) and TRP/CAAs (SMD = -0.617, CI: -0.957; -0.277) levels with moderate effect sizes, while no significant difference in CAAs were found. Kynurenine (KYN) levels were unaltered in severe MDD/BD phenotypes, while the KYN/TRP ratio showed a significant increase only in patients with psychotic features (SMD = 0.224, CI: 0.012; 0.436). Quinolinic acid (QA) was significantly increased (SMD = 0.358, CI: 0.015; 0.701) and kynurenic acid (KA) significantly decreased (SMD = -0.260, CI: -0.487; -0.034) in severe MDD/BD. Patients with affective disorders with melancholic and psychotic features and suicidal behaviors showed normal IDO enzyme activity but a lowered availability of plasma/serum TRP to the brain, which is probably due to other processes such as low albumin levels.

Biopsychosocial and Nutritional Factors of Depression among Type 2 Diabetes Mellitus Patients: A Systematic Review

The rising prevalence of depression among Type 2 Diabetes Mellitus (T2DM) patients has triggered an alarming situation, and further actions need to be taken by health care professionals and policymakers to curb the issue. There is a lack of evidence review in terms of the biopsychosocial and nutritional factors that are related to depression among T2DM. Hence, this review aimed to identify available evidence on the biopsychosocial and nutritional factors associated with depression among T2DM patients based on the existing literature. Articles were systematically searched from four databases, namely PubMed, Scopus, Web of Science, and EBSCOHost. The approach for the identification of the final articles followed PRISMA guidelines. The selected full-text articles were published between 2017 and 2021 in the English language, and included studies focused on depression among T2DM patients. Using AXIS tools, the eligible articles were evaluated to assess the quality of studies. A total of 19 studies were included in the review, and information related to research questions and associated factors was extracted. Biological, psychological, social, and nutritional factors were shown to be linked with depression among T2DM patients. Future studies need to considered using the biopsychosocial model and incorporating nutritional factors to manage the issues of depression among T2DM patients.

The association between serum albumin and depression in chronic liver disease may differ by liver histology

BACKGROUND

There are conflicting results regarding the association between chronic liver disease (CLD) and depression and the underlying biological mechanisms are lack of investigation. To address the impact of depression and its effects on the management of CLD, its biological marker is critical to be identified. The present study explored the association between serum albumin and depression in CLD patients and whether the association varied in different liver histological stages.

METHODS

Based on the United States National Health and Nutrition Examination Survey 2017-2018, the data of serum albumin and depressive symptoms from 627 participants with CLD were used. Depression symptoms were assessed with the nine-item Patient Health Questionnaire (PHQ-9). We used multivariate linear regression to evaluate the association between serum albumin and PHQ-9 scores. Stratified analysis was performed according to the liver histology examined by vibration controlled transient elastography.

RESULTS

Serum albumin level was inversely associated with PHQ-9 scores in the multivariate regression model after adjusting for mainly potential confounders (β = - 1.113, 95% CI: - 2.065 to - 0.162, P = 0.0221). In the subgroup analysis stratified by gender, controlled attenuation parameter (CAP) and liver stiffness measurement (LSM), the inverse association remained significant in female (β = - 2.002, 95% CI: - 3.515 to - 0.489, P = 0.0100), patients with CAP < 274 dB/m (β = - 2.215, 95% CI: - 3.621 to - 0.808, P = 0.0023) and patients with LSM ≥8.2 kPa (β = - 4.074, 95% CI: - 6.237 to - 1.911, P = 0.0003). Moreover, the association was much stronger when the serum albumin was higher than 3.4 g/dL among patients with LSM ≥8.2 kPa (β = - 4.835, 95% CI: - 7.137 to - 2.533, P < 0.0001).

CONCLUSION

Our study revealed an inverse association between serum albumin and depression in CLD patients and this association differed according to liver histological changes. Serum albumin could be a warning marker for depressive symptoms in CLD patients. It is essential for taking corresponding intervention strategies.

Aggression and Non-Suicidal Self-Injury among Depressed Youths: The Mediating Effect of Resilience

Background

The global spread of COVID-19 not only exerted an enormous impact on the public in different countries but also aggravated depression among youths. The aggressive tendencies of depressed individuals can harm their body and life and threaten those of others. The aggressive and non-suicidal self-injurious behaviors of depressed youths may seriously affect their physical and psychological health if not identified and mediated promptly.

Method

A total of 875 young respondents (including college students, community youths, migrant workers, and so on) from three provinces in China were surveyed in 2020 using a depression scale, non-suicidal self-injury scale, aggression scale, and resilience scale.

Results

Depression, non-suicidal self-injury, and aggression are significantly higher among the members of the depression group compared with the members of the healthy control group (P<0.001), and the resilience of the members of the former group is remarkably lower than that of the members of the latter group (P<0.001). Aggression among the depressed youths exhibits a significant positive correlation with non-suicidal self-injury (r= 0.43, P<0.01), whereas aggression (r= -0.18, P<0.05) and non-suicidal self-injury (r= -0.20, P<0.05) demonstrates significant negative correlations with resilience. The resilience of the youths in the depression group plays a partial mediating role in the relationship between aggression and non-suicidal self-injury.

Conclusion

The more aggressive the behaviors of the depressed youths, the more serious their non-suicidal self-injurious symptoms. Furthermore, resilience plays a partial mediating role in the relationship between aggression and non-suicidal self-injury.

Being on hemodialysis during the COVID-19 outbreak: A mixed-methods' study exploring the impacts on dialysis adequacy, analytical data, and patients' experiences

For individuals with end-stage renal disease (ESRD), the novel coronavirus can present several additional challenges in disease self-management. This study aimed to explore the impacts of the COVID-19 pandemic in non-COVID-19 patients with ESRD undergoing in-center hemodialysis (HD). A mixed-methods study was conducted with a purposive sample recruited from one dialysis unit in Portugal. Quantitative data were collected retrospectively from patients' medical records from February 2020 (T1-before the outbreak) and from April 2020 (T2-during lockdown). Semi-structured interviews were conducted with 20 patients (66.9 ± 11.9 years old) undergoing HD for an average of 46.1 months (±39.5) in April 2020. Overall results suggested that dialysis adequacy and serum albumin levels decreased significantly at T2, while phosphorus levels increased. The findings from thematic analysis suggested several psychosocial negative impacts and impacts on disease and treatment-related health behaviors (eg, difficulties managing dietary restrictions during the lockdown and diminished physical activity), which can partially explain these quantitative results. However, some patients were also able to find positive impacts in this experience and problem-focused and emotional strategies were identified to cope with the demands of COVID-19. Several recommendations have been made to mitigate patients' emotional, relational, and educational unmet needs during the current pandemic and in the event of new outbreaks.

Association between nutritional level, menstrual-related symptoms, and mental health in female medical students

OBJECTIVE

Research suggests that medical students as well as women are at greater risk of depression compared to the general population and men. This suggests that female medical students are crucial targets requiring specific monitoring for mental health disorder prevention and intervention. However, little is known regarding the risk factors for poor mental health among this population. Therefore, we investigated whether menstrual symptoms and nutritional status are associated with psychological distress in Japanese female medical students.

METHODS

This cross-sectional study assessed 326 female medical students who attended a school medical check-up, which included blood sampling in 2018. The levels of psychological distress were evaluated using the Japanese General Health Questionnaire (J-GHQ)-30. We defined high GHQ scores as GHQ-30 ≥7. We checked dysmenorrhea levels and assessed menstrual symptoms according to the presence of premenstrual syndrome (PMS). Dysmenorrhea was evaluated according to quartiles of the sum of the Menstrual Distress Questionnaire (MDQ). PMS was assessed using the Premenstrual Symptoms Questionnaire (PSQ). We evaluated levels of serum albumin, hemoglobin, ferritin, and lipid metabolite as nutritional factors. A multivariate logistic regression analysis was used to identify the association between menstrual-related symptoms or nutritional factors and the levels of psychological distress.

RESULTS

A total of 45 female medical students (15%) experienced psychological distress. Serum albumin levels were associated with psychological distress, while lipid metabolite levels were not. The intensity of dysmenorrhea and the presence of PMS were associated with psychological distress, independent of nutritional status.

CONCLUSION

Both menstrual symptoms and nutrition markers were associated with the levels of psychological distress in Japanese female medical students. School doctors and nurses can help improve the mental health of young female medical students by encouraging a healthy diet and checking for the presence of menstrual symptoms.