Changes in thyroid function status of suicidal patients

Background This study was carried out at Punjab Institute of Mental Health and Centre for Nuclear Medicine Mayo Hospital, Lahore. It is aimed at the possible association of thyroid malfunctioning with suicide attempts of patients. Objective Determination of thyroid function status of suicidal psychiatric patients and their comparison with psychiatric patients without suicide attempt or ideation. Methods Total 54 patients with either past history of suicide attempt or current suicidal ideation were selected for analysis of their thyroid function status (age 15-55 years). Age matched 50 non-suicide psychiatric patients were included for comparison. Results Two patients with suicide attempt had overt thyroid dysfunction. Remaining patients had serum FT4, FT3 and TSH level within normal range. Suicide attempter patients had lower FT4 but increased FT3 and TSH levels compared to suicidal ideation patients. Serum FT4 and TSH levels in suicidal patients were not different from psychiatric patients. Serum FT3 in suicidal patients was lower than psychiatric patients (3.7 ± 0.8 vs. 4.3 ± 0.5; p < 0.05). Female suicidal patients had lower FT3 levels compared to male patients (3.4 ± 0.6 vs. 3.9 ± 0.8 pmol/L; p < 0.05). Discussion Local suicidal patients have higher incidence of overt thyroid disorder and lower FT3 levels compared to non-suicidal psychiatric patients

Genetic diversity and forensic application of Y-filer STRs in four major ethnic groups of Pakistan

Abstract 17 Y-chromosomal STRs which are part of the Yfiler Amplification Kit were investigated in 493 unrelated Pakistani individuals belonging to the Punjabi, Sindhi, Baloch, and Pathan ethnic groups. We have assessed the forensic parameters and population genetic structure for each group. Among the 493 unrelated individuals from four ethnic groups (128 Baloch, 122 Pathan, 108 Punjabi, and 135 Sindhi), 82 haplotypes were observed with haplotype diversity (HD) of 0.9906 in Baloch, 102 haplotypes with HD value of 0.9957 in Pathans, 80 haplotypes with HD value of 0.9924 in Punjabi, and 105 haplotypes with HD value of 0.9945 in the Sindhi population. The overall gene diversity for Baloch, Pathan, Punjabi, and Sindhi populations was 0.6367, 0.6479, 0.6657, and 0.6112, respectively. The results had shown us that Pakistani populations do not have a unique set of genes but share the genetic affinity with regional (Central Asia and Northern India) populations. The observed low gene diversity (heterozygosity) values may be because of endogamy trends and this observation is equally supported by the results of forensic parameters which are mostly static across 4 combinations (minimal STRs, extended 11 Y-STRs, Powerplex 12 Y System, and Yfiler 17 Y-STRs) of STRs in these four populations

Organoid and Organ-on-a-Chip Systems: New Paradigms for Modeling Neurological and Gastrointestinal Disease

Purpose of reviewThe modeling of biological processes in vitro provides an important tool to better understand mechanisms of development and disease, allowing for the rapid testing of therapeutics. However, a critical constraint in traditional monolayer culture systems is the absence of the multicellularity, spatial organization, and overall microenvironment present in vivo. This limitation has resulted in numerous therapeutics showing efficacy in vitro, but failing in patient trials. In this review, we discuss several organoid and "organ-on-a-chip" systems with particular regard to the modeling of neurological diseases and gastrointestinal disorders.Recent findingsRecently, the in vitro generation of multicellular organ-like structures, coined organoids, has allowed the modeling of human development, tissue architecture, and disease with human-specific pathophysiology. Additionally, microfluidic "organ-on-a-chip" technologies add another level of physiological mimicry by allowing biological mediums to be shuttled through 3D cultures.SummaryOrganoids and organ-chips are rapidly evolving in vitro platforms which hold great promise for the modeling of development and disease