👤 Loredan Stefan Niculescu

Women are under-represented in research on suicidality to date. Although women have a lower rate of suicide completion than men, due in part to the less-violent methods used, they have a higher rate of suicide attempts. Our group has previously identified genomic (blood gene expression biomarkers) and clinical information (apps) predictors for suicidality in men. We now describe pilot studies in women. We used a powerful within-participant discovery approach to identify genes that change in expression between no suicidal ideation (no SI) and high suicidal ideation (high SI) states (n=12 participants out of a cohort of 51 women psychiatric participants followed longitudinally, with diagnoses of bipolar disorder, depression, schizoaffective disorder and schizophrenia). We then used a Convergent Functional Genomics (CFG) approach to prioritize the candidate biomarkers identified in the discovery step by using all the prior evidence in the field. Next, we validated for suicidal behavior the top-ranked biomarkers for SI, in a demographically matched cohort of women suicide completers from the coroner's office (n=6), by assessing which markers were stepwise changed from no SI to high SI to suicide completers. We then tested the 50 biomarkers that survived Bonferroni correction in the validation step, as well as top increased and decreased biomarkers from the discovery and prioritization steps, in a completely independent test cohort of women psychiatric disorder participants for prediction of SI (n=33) and in a future follow-up cohort of psychiatric disorder participants for prediction of psychiatric hospitalizations due to suicidality (n=24). Additionally, we examined how two clinical instruments in the form of apps, Convergent Functional Information for Suicidality (CFI-S) and Simplified Affective State Scale (SASS), previously tested in men, perform in women. The top CFI-S item distinguishing high SI from no SI states was the chronic stress of social isolation. We then showed how the clinical information apps combined with the 50 validated biomarkers into a broad predictor (UP-Suicide), our apriori primary end point, predicts suicidality in women. UP-Suicide had a receiver-operating characteristic (ROC) area under the curve (AUC) of 82% for predicting SI and an AUC of 78% for predicting future hospitalizations for suicidality. Some of the individual components of the UP-Suicide showed even better results. SASS had an AUC of 81% for predicting SI, CFI-S had an AUC of 84% and the combination of the two apps had an AUC of 87%. The top biomarker from our sequential discovery, prioritization and validation steps, BCL2, predicted future hospitalizations due to suicidality with an AUC of 89%, and the panel of 50 validated biomarkers (BioM-50) predicted future hospitalizations due to suicidality with an AUC of 94%. The best overall single blood biomarker for predictions was PIK3C3 with an AUC of 65% for SI and an AUC of 90% for future hospitalizations. Finally, we sought to understand the biology of the biomarkers. BCL2 and GSK3B, the top CFG scoring validated biomarkers, as well as PIK3C3, have anti-apoptotic and neurotrophic effects, are decreased in expression in suicidality and are known targets of the anti-suicidal mood stabilizer drug lithium, which increases their expression and/or activity. Circadian clock genes were overrepresented among the top markers. Notably, PER1, increased in expression in suicidality, had an AUC of 84% for predicting future hospitalizations, and CSNK1A1, decreased in expression, had an AUC of 96% for predicting future hospitalizations. Circadian clock abnormalities are related to mood disorder, and sleep abnormalities have been implicated in suicide. Docosahexaenoic acid signaling was one of the top biological pathways overrepresented in validated biomarkers, which is of interest given the potential therapeutic and prophylactic benefits of omega-3 fatty acids. Some of the top biomarkers from the current work in women showed co-directionality of change in expression with our previous work in men, whereas others had changes in opposite directions, underlying the issue of biological context and differences in suicidality between the two genders. With this study, we begin to shed much needed light in the area of female suicidality, identify useful objective predictors and help understand gender commonalities and differences. During the conduct of the study, one participant committed suicide. In retrospect, when the analyses were completed, her UP-Suicide risk prediction score was at the 100 percentile of all participants tested. Show less

Apolipoprotein A5 gene (APOA5) variants are associated with increased plasma triglycerides, a risk factor for the metabolic syndrome (MS), but a correlation with apolipoprotein C3 (APOC3) genotypes is controversial. We investigated the correlation of APOA5 genotypes with plasma apoA5 levels and APOC3 genotypes in MS patients from a Romanian population. APOA5 (-1131T>C, c.56C>G) and APOC3 (-482C>T, -455T>C) genotypes and plasma apoA5 concentration were determined in MS patients and healthy subjects. Results showed higher apoA5 levels in plasma and high density lipoproteins (HDL) from MS patients, carriers of the APOA5 c.56G allele, as compared to MS carriers of APOA5 -1131C allele or the common genotype. ApoA5 levels in plasma and HDL fraction from MS carriers of -1131C and c.56G alleles correlated positively with plasma triglycerides levels and negatively with HDL-cholesterol in MS carriers of c.56G allele. Higher frequencies of APOC3 -482T and -455C alleles were detected in MS patients compared with healthy subjects. We demonstrated the association of APOC3 -482T and -455C with APOA5 -1131C allele, but not with c.56G allele in MS patients. We propose APOA5c.56C>G as a functional polymorphism, whereas APOA5 -1131T>C is not an independent risk factor, being effective only when associated with APOC3 -482T or -455C alleles. Show less

Genetic variation at the apolipoprotein A-V locus, recently discovered proximal to the APOA1/C3/A4 gene cluster, is associated with elevated triglyceride concentrations, a risk factor for atherosclerosis. The goal of our study was to determine the association of two apolipoprotein A-V (APOA5) gene polymorphisms in a group of urban Romanian subjects with the prevalence of the metabolic syndrome. For this purpose, we assayed -1.131T>C and c.56C>G polymorphisms for 279 subjects divided into three groups: a control group, a metabolic syndrome group and a cardiovascular disease group. Then we correlated the minor allele frequencies with body mass index and biochemical parameters. We obtained higher frequency for -1.131C compared to c.56G alleles, both mainly distributed in overweight subjects. Body mass index and triglyceride levels were higher in -1.131C allele carriers in metabolic syndrome patients, but were not significantly different in c.56G carriers compared to those with the native gene. Metabolic syndrome -1.131C homozygotes presented lower high-density lipoprotein cholesterol and higher glucose levels compared to subjects with the native gene. Total cholesterol, low-density lipoprotein cholesterol and insulin were not different between -1.131C or c.56G allele carriers and those with the native gene. Our results demonstrate an independent risk for -1.131T>C APOA5 gene polymorphisms in the development of metabolic syndrome. Show less

Overexpression of human APOA5 in mice results in dramatically decreased plasma triglyceride levels. In this study we explored the mechanism underlying this hypotriglyceridemic effect. Initially we found that triglyceride turnover was faster in hAPOA5 transgenic mice compared to controls, and this strongly correlated with increased LPL activity in postheparin plasma. Furthermore, we show that in vitro recombinant apoAV interacts physically with lipoprotein lipase and significantly increased its activity. We show that both apoB and apoCIII are decreased in hAPOA5 transgenic mice indicating a decrease in VLDL number. To further investigate the mechanism of hAPOA5 in a hyperlipidemic background, we inter-crossed hAPOA5 and hAPOC3 transgenic mice. We found a marked decrease in VLDL triglyceride and cholesterol, as well as apolipoprotein B and CIII levels. These data indicated that apoAV induces a decrease in VLDL size by activating lipolysis and an increase of VLDL clearance. In a postprandial state, the normal triglyceride response found in wild-type mice was significantly reduced in hAPOA5 transgenics. In addition, we demonstrated that in response to this fat load in hAPOA5xhAPOC3 mice, apoAV, but not apoCIII, was redistributed from primarily HDL to VLDL. This shift of apoAV in VLDL appears to limit the increase of triglyceride by activating the lipoprotein lipase. Show less