Bupropion monotherapy alters neurotrophic and inflammatory markers in patients of major depressive disorder

Path-based reasoning for biomedical knowledge graphs with BioPathNet

Understanding complex interactions in biomedical networks is crucial for advancements in biomedicine, but traditional link prediction (LP) methods are limited in capturing this complexity. Representation-based learning techniques improve prediction accuracy by mapping nodes to low-dimensional embeddings, yet they often struggle with interpretability and scalability. We present BioPathNet, a novel graph neural network framework based on the Neural Bellman-Ford Network (NBFNet), addressing these limitations through path-based reasoning for LP in biomedical knowledge graphs. Unlike node-embedding frameworks, BioPathNet learns representations between node pairs by considering all relations along paths, enhancing prediction accuracy and interpretability. This allows visualization of influential paths and facilitates biological validation. BioPathNet leverages a background regulatory graph (BRG) for enhanced message passing and uses stringent negative sampling to improve precision. In evaluations across various LP tasks, such as gene function annotation, drug-disease indication, synthetic lethality, and lncRNA-mRNA interaction prediction, BioPathNet consistently outperformed shallow node embedding methods, relational graph neural networks and task-specific state-of-the-art methods, demonstrating robust performance and versatility. Our study predicts novel drug indications for diseases like acute lymphoblastic leukemia (ALL) and Alzheimer's, validated by medical experts and clinical trials. We also identified new synthetic lethality gene pairs and regulatory interactions involving lncRNAs and target genes, confirmed through literature reviews. BioPathNet's interpretability will enable researchers to trace prediction paths and gain molecular insights, making it a valuable tool for drug discovery, personalized medicine and biology in general.

Antidepressant treatment in inflammatory bowel disease: a systematic review and meta-analysis

Around 25% of patients with inflammatory bowel disease (IBD) have depressive symptoms, yet antidepressants have been poorly studied in IBD. We systematically searched IBD studies testing antidepressants in four databases. Outcomes were depressive symptoms, anxiety, IBD disease activity, quality of life (QoL) and adverse events. For randomized controlled trials (RCTs), we performed random-effects meta-analysis of the standardized mean difference (SMD) in posttreatment scores between antidepressant and placebo groups. Risk of bias was assessed using the Cochrane Common Mental Disorders Depression Anxiety and Neurosis Group tool (clinical trials) and Newcastle-Ottawa scale (cohort studies). We included 11 studies ( n  = 327): three placebo-controlled RCTs, two nonrandomized trials, and six other study types. In the pooled analysis, antidepressants improved depressive symptoms [SMD = -0.71 (95% confidence interval (CI) -1.32 to -0.10), P  = 0.02, I2  = 51%] and QoL [SMD = 0.88 (95% CI 0.30-1.45), P  = 0.003, I2  = 44%] more than placebo. Serotonin and noradrenaline reuptake inhibitors (SNRIs) alone improved depressive symptoms [SMD = -0.95 (95% CI -1.45 to -0.45, P  < 0.001, I2  = 11%], anxiety [SMD = -0.92 (95% CI 1.72 to -0.13), P  = 0.023, I2  = 65%] and QoL [SMD = 1.14 (95% CI 0.66-1.62), P  < 0.001, I2  = 0%]. The three RCTs were of good quality. In conclusion, based on three small but good-quality studies, antidepressants improve depressive symptoms and QoL compared to placebo in IBD. SNRI antidepressants may also improve anxiety. A fully powered study of antidepressants in IBD is needed.

The effects of bupropion alone and combined with naltrexone on blood pressure and CRP concentration: A systematic review and meta-regression analysis of randomized controlled trials

BACKGROUND

Considering the conflicting effects of bupropion on parameters related to cardiovascular system including blood pressure and inflammation, in this meta-analysis study, we investigated the effects of this drug alone or in combination with naltrexone on systolic (SBP) and diastolic blood pressure (DBP) and C-reactive protein (CRP).

METHODS

Scopus, PubMed/Medline, Web of Science and Embase databases were searched using standard keywords to identify all controlled trials investigating effects of bupropion alone and combined with naltrexone on the BP and CRP. Pooled weighted mean difference and 95% confidence intervals (CIs) were achieved by random-effects model analysis for the best estimation of outcomes.

RESULTS

The pooled findings showed that that bupropion alone or in combination with naltrexone would significantly increase SBP (weighted mean difference (WMD): 1.34 mmHg, 95% CI: 0.38-2.29) and DBP (WMD: 0.93 mmHg, 95% CI 0.88-0.99) as well as decrease CRP (WMD: -0.89 mg/L, 95% CI -1.09 to -0.70). The findings of the subgroup also show the greater effect of bupropion on blood pressure (SBP and DBP) increase in a dose greater than 360 mg and a duration of intervention less equal to 26 weeks. In addition, the subgroup analysis showed that changes in SBP after receiving bupropion together with naltrexone were more compared to bupropion alone.

CONCLUSIONS

The addition of combination therapies such as bupropion and naltrexone can significantly improve CRP levels. However, its effect on blood pressure requires proper management of this drug.

Sertraline with desvenlafaxine and sertraline with mirtazapine as treatment initiation in MDD patients with moderate to severe depression and effect on inflammatory markers

BACKGROUND

This study evaluated the effect of sertraline with desvenlafaxine and sertraline with mirtazapine on HAM-D score and inflammatory markers (IL-6 and TNF-α levels) in major depressive disorder.

METHODS

Patients (18-60 years) with MDD diagnosed by DSM-V criteria and HAM-D score 18 or more were included (n = 60). Group A patients (n = 30) received sertraline 50 mg/day and desvenlafaxine 50 mg/day. Group B patients (n = 30) received sertraline 50 mg/day and mirtazapine 30 mg/day. All patients were followed up for 8 weeks for the evaluation of clinical efficacy, safety, serum IL-6, and TNF-α levels.

RESULTS

Our study showed a comparatively similar and statistically significant (p < 0.05) reduction in HAM-D score in both groups in the 4th and 8th week of the treatment. Both drug combinations significantly (p < 0.05) decreased serum IL-6 and TNF-α after 8 weeks of treatment.

CONCLUSION

The present study suggests that the combination therapy (as treatment initiation) with sertraline and desvenlafaxine, and sertraline with mirtazapine is effective and well tolerated in MDD patients with moderate to severe depression, and their therapeutic efficacy is accompanied by decreased inflammatory markers (serum IL-6 and TNF-α).

Research on treatment-related aspects of depression from India in the preceding decade (2014-2023): An updated systematic review

Background

The National Mental Health Survey reports a prevalence of 2.7% for depressive disorders in India. The services for depression patients may be organized differently in India as compared to Western countries. It is important to consider studies conducted in India to determine effective interventions for depression catered specifically to the needs of the Indian population. We intended to systematically review the articles studying the usefulness of various treatment modalities in the management of depression in the Indian context.

Materials and Methods

We searched PubMed, Google Scholar, and ScienceDirect to identify studies published in peer-reviewed English language journals. All articles from India evaluating the clinical efficacy of anti-depressants, electro-convulsive therapy, repetitive transcranial magnetic stimulation, and psychological interventions for the management of depression were evaluated. Data were extracted using standard procedures.

Results

A total of 36 studies were included in the review. Out of those, 15 were studies on drug efficacy, five on neuro-modulation, nine on psycho-social interventions, four on adverse effects, and three on miscellaneous studies. Innovations were seen in the field of neuro-modulation and psycho-social intervention. Trials on drug efficacy and adverse drug reactions require larger sample sizes, more studies on newer agents, and more robust study designs.

Conclusion

More research is needed to understand the effectiveness and potential negative effects of depression treatments in India. Studies on ketamine have been inconclusive, and existing research on pharmacological agents is limited. Neuro-modulation studies show promise, but larger-scale studies are needed. Innovative psychological interventions tailored to the Indian population include community-based and digital technology-driven care.

Pharmacological targeting of cognitive impairment in depression: recent developments and challenges in human clinical research

Impaired cognition is often overlooked in the clinical management of depression, despite its association with poor psychosocial functioning and reduced clinical engagement. There is an outstanding need for new treatments to address this unmet clinical need, highlighted by our consultations with individuals with lived experience of depression. Here we consider the evidence to support different pharmacological approaches for the treatment of impaired cognition in individuals with depression, including treatments that influence primary neurotransmission directly as well as novel targets such as neurosteroid modulation. We also consider potential methodological challenges in establishing a strong evidence base in this area, including the need to disentangle direct effects of treatment on cognition from more generalised symptomatic improvement and the identification of sensitive, reliable and objective measures of cognition.

How Antidepressant Drugs Affect the Antielectroshock Action of Antiseizure Drugs in Mice: A Critical Review

Depression coexists with epilepsy, worsening its course. Treatment of the two diseases enables the possibility of interactions between antidepressant and antiepileptic drugs. The aim of this review was to analyze such interactions in one animal seizure model-the maximal electroshock (MES) in mice. Although numerous antidepressants showed an anticonvulsant action, mianserin exhibited a proconvulsant effect against electroconvulsions. In most cases, antidepressants potentiated or remained ineffective in relation to the antielectroshock action of classical antiepileptic drugs. However, mianserin and trazodone reduced the action of valproate, phenytoin, and carbamazepine against the MES test. Antiseizure drug effects were potentiated by all groups of antidepressants independently of their mechanisms of action. Therefore, other factors, including brain-derived neurotrophic factor (BDNF) and glial-derived neurotrophic factor (GDNF) modulation, should be considered as the background for the effect of drug combinations.