Purpose: This study examined the role of subject-selection reasons and learning environment factors in students' depression and suicidality.Design and Methods: This study surveyed 960 students from five different Bangladeshi universities using questions concerning socio-demographics, lifestyles, subject-selection reasons, learning and academic environment, suicidal behaviors, and the Bangla Patient Health Questionnaire.Findings: Approximately half of the participants were depressed (47.7%), and just over a quarter reported past-year suicidality (28.5%). Risk factors for both depression and suicidal behavior included not studying at their desired institute, selecting subjects based on future career prospects (rather than choosing what they want to study), not having a study-friendly and research-friendly environment, and unsupportive teachers.Practical Implications: The findings will help in formulating policies for educational institutions as well as providing benchmark data for further studies.

Breast cancer ranked second among most frequent cancer in the world playing a significant role in mortality rate. Having prior knowledge on differentially expressed genes in breast cell carcinoma elucidated important indications to understand the molecular mechanism underneath breast carcinogenesis. In this study we have investigated the distinguished CSN1S1 expression in human breast cancer. We have analyzed CSN1S1 mRNA expression between cancer and normal tissues using TCGA datasets. Moreover, analysis including promoter methylation, mutations, prognosis, co-expression, gene ontology, and pathways of CSN1S1 were performed by the TCGA Wanderer, UCSC Xena, cBioPortal, PrognoScan, UALCAN, and Enricher server. We have observed low mRNA expression and high promoter methylation of CSN1S1 in cancer tissues compared to normal tissues. Furthermore, we have also identified low mRNA expression in clinicopathological patients, as well as 9 deleterious mutations with highly co-expressed protein MRC1, and significantly related signaling pathways. We have found a positive correlation between the lower expression of CSN1S1 and patients surviving with breast cancer. Here we have concluded that CSN1S1 acts as a biomarker for the surveillance and prognosis of breast cancer, and also works as a novel therapeutic target at the molecular and pathway levels.

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Background Rheumatoid arthritis (RA), an autoimmune disorder, characterized by systemic inflammation and swollen joints, establishes itself as a critical threat. A pro-inflammatory cytokine TNF-α is a well-known driver of RA pathogenesis and at the same time predisposes to insulin resistance through signal impediment which ultimately paves the way for type 2 diabetes (T2DM). However, in patients with RA, T2DM remains significantly undiagnosed or undertreated, apparently which increases the risk of developing cardio-metabolic comorbidities. This study aimed to evaluate the glycemic status among RA patients and its association with disease activity. Result One hundred fifty inpatients RA cases according to ACR/EULAR standards were included in the cross-sectional study who have an average age of 45.4±12.15 years and a median and interquartile period of RA of 2.25 years and 0.48–6 years, respectively. We discovered that 36% of people had T2DM, 26% were prediabetic, and 38% were non-diabetic. Age was shown to be significantly correlated with DM frequency in RA patients (p=0.007). There were 28 patients with elevated disease activity (19%) and 60 patients with low disease activity (40%) in this study. No substantial associations were found in the presence of DM with gender, anti-CCP, RF, disease duration, or DAS28. Conclusion RA patients are more likely to experience diabetes, and resultantly a high index of notion must be kept. Clinician should be aware about the affliction of undiagnosed diabetes and prediabetes in RA patients. Furthermore, keeping an eye on glycemic control in RA patients could prevent metabolic and cardiovascular comorbidities in those susceptible patients.