Introduction: Primary aldosteronism (PA), most commonly caused by aldosterone-producing adenomas (APAs), represents the leading form of surgically curable secondary hypertension. While genomic studies have elucidated the mutational landscape of APAs, the spatial organisation and functional role of immune populations across APAs, aldosterone-producing micronodules (APMs), and adjacent adrenal cortex remain poorly defined at single-cell resolution. Methodology: Single-cell RNA sequencing (scRNA-seq) was integrated with spatial transcriptomics in APAs and paired adjacent adrenal cortex, complemented by immunohistochemical (IHC) validation. Immune populations were spatially mapped using canonical markers (CD14, CD68, CD163, HLA-DR, CD8A, and CD4) across defined adrenocortical regions. Results: The adrenal microenvironment in PA demonstrates structured immune organisation rather than passive infiltration. CD14+ monocyte-lineage cells localize intraparenchymally within APAs (n = 10), intercalating between CYP11B2+ aldosterone-producing cells and forming a pattern distinct from perivascular immune niches. scRNA-seq further identified a transcriptionally distinct CD14+ population within the zona reticularis (zR) that co-expresses steroidogenic markers (CYB5A, SULT2A1, TSPAN12) while lacking canonical monocyte transcripts. IHC supported this observation, demonstrating CD14 expression within adrenocortical zR parenchymal cells (n = 5). In parallel, CD4 and HLA-DRA exhibited diffuse cytoplasmic staining within zR parenchymal cells in the absence of classical macrophage marker coexpression (CD68), suggesting non-canonical or context-dependent expression within steroidogenic compartments. CD68+ and CD163+ macrophages were sparsely distributed across APA, APM and adjacent cortex, consistent with lowdensity tissue-resident populations, while CD8A+ cytotoxic lymphocytes were enriched in APAs and APMs with diffuse parenchymal cytoplasmic staining of CD8A additionally observed within the zR. Conclusion These findings reveal a previously unrecognized spatially organised immune-steroidogenic interface within the adrenal cortex. The presence of immune-associated transcriptional and protein signatures within zR cells suggests potential functional plasticity of steroidogenic cells, possibly extending to antigen presentation-related pathways, warranting further mechanistic investigation
Hyperaldosteronism ; Humans

Stress is accepted as the accumulation of unpleasant state of physical, mental and emotion on a person. Medical education has been known as one of the most stressful academic curriculum. Hence, medical students may subjected to multiple psychological changes and challenges throughout the years of medical education. The aim of this study was to determine the prevalence of stress and its associated factors among medical students. This cross sectional study was conducted from April to May 2018 in medical school in Sabah. It involved 396 medical students through universal sampling. Self-administered questionnaires were used as an instrument for data collection. The questionnaires included were Sociodemographic Questionnaire, Depression, Anxiety and Stress Scales 21 (DASS-21) and Medical Student Stressors Questionnaire (MSSQ). Bivariate analysis (Chi Square test, Fisher’s Exact Test, Independent T test and Man-Whitney U test) were used to analyse the association. The response rate was 90.2%. The prevalence of stress among medical students were 33.3%. Significant associated factors include financial support inadequacy (p=0.010) and all categories of medical student stressors. The mean score of the academic related stressors was found to be at 2.117 (±0.758) which was the highest mean score among medical student stressors assessed by MSSQ. The result of this study can be used as a basis for implementation of preventive measures such as provision of comprehensive, integrated and responsive mental health care services in university-based settings.
Stress, stressor, medical students, medical education, mental health, DASS, MSSQ

OBJECTIVES: Substance abuse behaviors among university freshmen in Iran are poorly understood. This study aimed to identify, for the first time, subgroups of university freshmen in Iran on the basis of substance abuse behaviors. Moreover, it examined the effects of socio-demographic characteristics on membership in each specific subgroup. METHODS: Data for the study were collected cross-sectionally in December 2013 and January 2014 from 4 major cities in Iran: Tabriz, Qazvin, Karaj, and Khoramabad. A total of 5,252 first-semester freshmen were randomly selected using a proportional cluster sampling methodology. A survey questionnaire was used to collect data. Latent class analysis (LCA) was performed to identify subgroups of students on the basis of substance abuse behaviors and to examine the effects of students' socio-demographic characteristics on membership in each specific subgroup. RESULTS: The LCA procedure identified 3 latent classes: the healthy group; the hookah experimenter group; and the unhealthy group. Approximately 82.8, 16.1, and 2.1% of students were classified into the healthy, hookah experimenter, and unhealthy groups, respectively. Older age, being male, and having a family member or a close friend who smoked increased the risk of membership in classes 2 and 3, compared to class 1. CONCLUSIONS: Approximately 2.1% of freshmen exhibited unhealthy substance abuse behaviors. In addition, we found that older age, being male, and having a close friend or family member who smoked may serve as risk factors for substance abuse behaviors.
Friends ; Humans ; Iran* ; Male ; Risk Factors ; Smoke ; Smoking ; Substance-Related Disorders*

OBJECTIVES: Substance abuse behaviors among university freshmen in Iran are poorly understood. This study aimed to identify, for the first time, subgroups of university freshmen in Iran on the basis of substance abuse behaviors. Moreover, it examined the effects of socio-demographic characteristics on membership in each specific subgroup.METHODS: Data for the study were collected cross-sectionally in December 2013 and January 2014 from 4 major cities in Iran: Tabriz, Qazvin, Karaj, and Khoramabad. A total of 5,252 first-semester freshmen were randomly selected using a proportional cluster sampling methodology. A survey questionnaire was used to collect data. Latent class analysis (LCA) was performed to identify subgroups of students on the basis of substance abuse behaviors and to examine the effects of students' socio-demographic characteristics on membership in each specific subgroup.RESULTS: The LCA procedure identified 3 latent classes: the healthy group; the hookah experimenter group; and the unhealthy group. Approximately 82.8, 16.1, and 2.1% of students were classified into the healthy, hookah experimenter, and unhealthy groups, respectively. Older age, being male, and having a family member or a close friend who smoked increased the risk of membership in classes 2 and 3, compared to class 1.CONCLUSIONS: Approximately 2.1% of freshmen exhibited unhealthy substance abuse behaviors. In addition, we found that older age, being male, and having a close friend or family member who smoked may serve as risk factors for substance abuse behaviors.
Friends ; Humans ; Iran ; Male ; Risk Factors ; Smoke ; Smoking ; Substance-Related Disorders

OBJECTIVES: Substance abuse behaviors among university freshmen in Iran are poorly understood. This study aimed to identify, for the first time, subgroups of university freshmen in Iran on the basis of substance abuse behaviors. Moreover, it examined the effects of socio-demographic characteristics on membership in each specific subgroup. METHODS: Data for the study were collected cross-sectionally in December 2013 and January 2014 from 4 major cities in Iran: Tabriz, Qazvin, Karaj, and Khoramabad. A total of 5,252 first-semester freshmen were randomly selected using a proportional cluster sampling methodology. A survey questionnaire was used to collect data. Latent class analysis (LCA) was performed to identify subgroups of students on the basis of substance abuse behaviors and to examine the effects of students' socio-demographic characteristics on membership in each specific subgroup. RESULTS: The LCA procedure identified 3 latent classes: the healthy group; the hookah experimenter group; and the unhealthy group. Approximately 82.8, 16.1, and 2.1% of students were classified into the healthy, hookah experimenter, and unhealthy groups, respectively. Older age, being male, and having a family member or a close friend who smoked increased the risk of membership in classes 2 and 3, compared to class 1. CONCLUSIONS Approximately 2.1% of freshmen exhibited unhealthy substance abuse behaviors. In addition, we found that older age, being male, and having a close friend or family member who smoked may serve as risk factors for substance abuse behaviors.