👤 Jenny Lester

Examine whether neonatal neurobehavioral profiles are related to need for pharmacological treatment among infants with prenatal opioid exposure. Prospective cohort study of 217 infants with need for treatment determined using the Finnegan Neonatal Abstinence Tool (FNAST), Neonatal Withdrawal Inventory (NWI), or Eat Sleep Console (ESC). Neurobehavior was assessed with the NeoNatal Neurobehavioral Scale II (NNNS-II). Latent Profile Analysis (LPA) classified infants into neurobehavioral profiles, and logistic regression assessed the association between NNNS-II profiles and need for treatment. A 3-profile LPA solution best fit the NNNS-II data comprised of typical (67%), hyper-aroused (19%) and hypo-aroused groups (15%). Infants with atypical NNNS-II profiles were more likely to receive treatment (OR = 3.45, 95% CI 1.21-9.81) compared to infants with typical profiles (p < 0.05). Newborn neurobehavioral profiles may aid in early identification of infants requiring pharmacological treatment for opioid withdrawal, reducing length of stay and healthcare costs. Show less

Examine whether neonatal neurobehavioral profiles are related to need for pharmacological treatment among infants with prenatal opioid exposure. Prospective cohort study of 217 infants with need for treatment determined using the Finnegan Neonatal Abstinence Tool (FNAST), Neonatal Withdrawal Inventory (NWI), or Eat Sleep Console (ESC). Neurobehavior was assessed with the NeoNatal Neurobehavioral Scale II (NNNS-II). Latent Profile Analysis (LPA) classified infants into neurobehavioral profiles and logistic regression assessed the association between NNNS-II profiles and need for treatment. A 3-profile LPA solution best fit the NNNS-II data comprised of typical (67%), hyper-aroused (19%) and hypo-aroused groups (15%). Infants with atypical NNNS-II profiles were more likely to receive treatment (OR=3.45, 95% CI 1.21-9.81) compared to infants with typical profiles ( Newborn neurobehavioral profiles may aid in early identification of infants requiring pharmacological treatment for opioid withdrawal, reducing length of stay and healthcare costs. Show less

Elevated lipoprotein(a) [Lp(a)] and low high-density lipoprotein-cholesterol (HDL-C) are established cardiovascular (CV) risk factors, but their combined impact on mortality and sex differences remains unclear. This retrospective study analyzed 97 396 patients with measured Lp(a) and HDL-C. Groups were stratified by Lp(a) (≥50 vs. <50 mg/dl) and HDL-C [low (<40), optimal (40-60), high (>60 mg/dl)]. Mortality was assessed using the Kaplan-Meier curve and Cox models. Over a median of 5.9 years, 7794 deaths occurred. Compared to optimal HDL-C/low Lp(a) (reference), high HDL-C/low Lp(a) had the lowest mortality [adjusted hazard ratio (aHR): 0.85; 95% confidence interval (CI): 0.80-0.91], while low HDL-C/high Lp(a) had the highest risk (aHR: 1.55; 1.41-1.71). High HDL-C protective effect was insignificant with elevated Lp(a) (aHR: 0.98; 0.89-1.08). Sex-stratified analyses revealed divergent effects: women with high HDL-C/high Lp(a) retained the HDL-C protective effect (aHR: 0.82; 0.72-0.93), whereas men faced increased risk (aHR: 1.22; 1.05-1.42). Elevated Lp(a) enhances mortality risk despite elevated HDL-C levels, with sex-specific differences: women retain mortality benefits from high HDL-C despite elevated Lp(a), whereas men with concurrent elevations in HDL-C and Lp(a) experienced mortality risks comparable to those with low HDL-C. Findings underscore sex-specific CV risk stratification incorporating HDL-C and Lp(a), challenging the HDL-C universal protective role. Show less

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy. It follows an autosomal dominant inheritance pattern in most cases, with incomplete penetrance and heterogeneity. It is familial in 60% of cases and most of these are caused by pathogenic variants in the core sarcomeric genes ( Show less

Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamily (Ras, Rho, Rab, Arf, and Ran) which govern processes such as signal transduction, cell proliferation, cell motility, and vesicle transport. We hypothesized that common germline variation in genes encoding small GTPases is associated with EOC risk. We investigated 322 variants in 88 small GTPase genes in germline DNA of 18,736 EOC patients and 26,138 controls of European ancestry using a custom genotype array and logistic regression fitting log-additive models. Functional annotation was used to identify biofeatures and expression quantitative trait loci that intersect with risk variants. One variant, ARHGEF10L (Rho guanine nucleotide exchange factor 10 like) rs2256787, was associated with increased endometrioid EOC risk (OR = 1.33, p = 4.46 x 10-6). Other variants of interest included another in ARHGEF10L, rs10788679, which was associated with invasive serous EOC risk (OR = 1.07, p = 0.00026) and two variants in AKAP6 (A-kinase anchoring protein 6) which were associated with risk of invasive EOC (rs1955513, OR = 0.90, p = 0.00033; rs927062, OR = 0.94, p = 0.00059). Functional annotation revealed that the two ARHGEF10L variants were located in super-enhancer regions and that AKAP6 rs927062 was associated with expression of GTPase gene ARHGAP5 (Rho GTPase activating protein 5). Inherited variants in ARHGEF10L and AKAP6, with potential transcriptional regulatory function and association with EOC risk, warrant investigation in independent EOC study populations. Show less

Gout is associated with dyslipidaemia. Association of the apolipoprotein A1-C3-A4 gene cluster with gout has previously been reported in a small study. To investigate a possible causal role for this locus in gout, we tested the association of genetic variants from APOA1 (rs670) and APOC3 (rs5128) with gout. We studied data for 2452 controls and 2690 clinically ascertained gout cases of European and New Zealand Polynesian (Māori and Pacific) ancestry. Data were also used from the publicly available Atherosclerosis Risk in Communities study (n = 5367) and the Framingham Heart Study (n = 2984). Multivariate adjusted logistic and linear regression was used to test the association of single-nucleotide polymorphisms with gout risk, serum urate, triglyceride and high-density lipoprotein cholesterol (HDL-C). In Polynesians, the T-allele of rs670 (APOA1) increased (odds ratio, OR = 1.53, P = 4.9 × 10(-6)) and the G-allele of rs5128 (APOC3) decreased the risk of gout (OR = 0.86, P = 0.026). In Europeans, there was a strong trend to a risk effect of the T-allele for rs670 (OR = 1.11, P = 0.055), with a significant protective effect of the G-allele for rs5128 being observed after adjustment for triglycerides and HDL-C (OR = 0.81, P = 0.039). The effect at rs5128 was specific to males in both Europeans and Polynesians. Association in Polynesians was independent of any effect of rs670 and rs5128 on triglyceride and HDL-C levels. There was no evidence for association of either single-nucleotide polymorphism with serum urate levels (P ⩾ 0.10). Our data, replicating a previous study, supports the hypothesis that the apolipoprotein A1-C3-A4 gene cluster plays a causal role in gout. Show less

Women with epithelial ovarian cancer (EOC) are usually treated with platinum/taxane therapy after cytoreductive surgery but there is considerable inter-individual variation in response. To identify germline single-nucleotide polymorphisms (SNPs) that contribute to variations in individual responses to chemotherapy, we carried out a multi-phase genome-wide association study (GWAS) in 1,244 women diagnosed with serous EOC who were treated with the same first-line chemotherapy, carboplatin and paclitaxel. We identified two SNPs (rs7874043 and rs72700653) in TTC39B (best P=7x10-5, HR=1.90, for rs7874043) associated with progression-free survival (PFS). Functional analyses show that both SNPs lie in a putative regulatory element (PRE) that physically interacts with the promoters of PSIP1, CCDC171 and an alternative promoter of TTC39B. The C allele of rs7874043 is associated with poor PFS and showed increased binding of the Sp1 transcription factor, which is critical for chromatin interactions with PSIP1. Silencing of PSIP1 significantly impaired DNA damage-induced Rad51 nuclear foci and reduced cell viability in ovarian cancer lines. PSIP1 (PC4 and SFRS1 Interacting Protein 1) is known to protect cells from stress-induced apoptosis, and high expression is associated with poor PFS in EOC patients. We therefore suggest that the minor allele of rs7874043 confers poor PFS by increasing PSIP1 expression. Show less