ABSTRACT
BACKGROUND: The prevalence of hypovitaminosis D (hypoD) in patients with type 2 diabetes mellitus (T2DM) and depression has not been documented. In addition, the risk factors are unknown. This study aimed to identify the prevalence of and risk factors for hypoD in patients with T2DM who also have depression. METHODS: 118 patients with T2DM who visited the outpatient endocrinology clinics at Cipto Mangunkusumo National Hospital between December 2019-September 2022 provided the clinical and demographic data for this cross- sectional study, including body mass index, blood pressure, glycosylated haemoglobin (HbA1c), lipid profiles, therapy, gender, age, marital status, and educational background. We used The Beck Depression Inventory II (BDI II) to evaluate depression. We used enzyme-linked immunosorbent assay kit to assess the dependent variable: serum vitamin D. We characterized serum vitamin D levels into three groups (normal, 30 ng/mL; insufficient, 20-29 ng/mL; deficient, 20 ng/mL). We also used analyses of variance to examine the anthropometric, clinical, and biochemical factors between the three groups. RESULTS: 118 subjects with T2DM. Their median age was 56 years old (48, 75-60 years old), with a BDI II score of 17 (15-19), and a serum concentration of vitamin D. The D level was 18.3 ng/mL (9.17-29.46 ng/mL). Only 21.8% of patients with T2DM and depression had sufficient levels of vitamin D. We used multivariable analysis of variance model to examine the associations between age, BDI II score, HbA1c, and systolic and diastolic blood pressure with vitamin D level. Age and BDI II score both had a statistically significant effect on vitamin D levels. CONCLUSION: This cross-sectional study discovered that patients with T2DM and depression had a high prevalence (77.7%) of hypoD. Age and BDI II score both affected differences in vitamin D levels with statistical significance.
ABSTRACT
BACKGROUND: Association of rs1344706 in the ZNF804A gene (2q32.1) with schizophrenia was first reported in a genome wide scan conducted in a sample of 479 cases and replicated in 6666 cases. Subsequently, evidence by replication was obtained in several samples with European- and Asian ancestral background. METHODS: We report ascertainment, clinical characterization, quality control, and determination of ancestral background of a case control sample from Indonesia, comprising 1067 cases and 1111 ancestry matched controls. Genotyping was performed using a fluorescence-based allelic discrimination assay (TaqMan SNP genotyping assay) and a newly designed PCR-RFLP assay for confirmation of rs1344706 genotypes. RESULTS: We confirmed association of the T-allele of rs1344706 with schizophrenia in a newly ascertained sample from Indonesia with Southeast Asian ancestral background (P=0.019, OR=1.155, 95%, CI 1.025-1.301). In addition, we studied several SNPs in the vicinity of rs1344706, for which nominally significant results had been reported. None of the association P values of the additional SNPs exceeded that of rs1344706. CONCLUSION: We provide additional evidence for association of the ZNF804A gene with schizophrenia. We conclude that rs1344706 or a yet unknown polymorphism in linkage disequilibrium is also involved in conferring susceptibility to schizophrenia in samples with different (Asian) ancestral backgrounds.
