👤 A Shekhar

Sex and apolipoprotein E ε4 (APOE4) interact to alter the risk for Alzheimer's disease and other neurodegenerative disorders. Herein, we show sex-specific differences in immune activation and lymphatic function in the meningeal dura of humanized female and male mice expressing two alleles of APOE4 (E4/E4), when compared with their respective sex-matched E3/E3 controls. We also describe distinct effects of APOE4 on brain lipid composition and inflammation in females and males that were partially reverted upon colony-stimulating factor 1 receptor (CSF1R) inhibition. Suppressing innate immunity reduced neuroinflammation and restored cognitive function in E4/E4 females, while exacerbating neuroinflammation and accelerating cognitive decline in E4/E4 males. Finally, in line with the E4/E4 humanized mouse model data, we show that APOE4 expression is linked to sexually dimorphic leukocyte activation profiles in the human brain. This study highlights the need for personalized therapies when targeting APOE, brain immunity, and meningeal lymphatics to promote cognitive resilience in both females and males. Show less

Pan-fibroblast growth factor receptor (FGFR) inhibitors, targeting FGFR1-3 or FGFR1-4, are Food and Drug Administration-approved for FGFR2-driven cholangiocarcinoma. However, acquired resistance and dose-limiting toxicities from systemic FGFR inhibition constrain efficacy. Lirafugratinib (RLY-4008), a first-in-class FGFR2-selective inhibitor with activity against resistance-associated FGFR2 kinase domain mutations, shows promise in patients with FGFR2-altered solid tumors (ReFocus trial, NCT04526106). Defining acquired resistance mechanisms to selective FGFR2 targeting is essential for therapeutic development. Circulating tumor DNA (ctDNA) samples from 28 patients treated with lirafugratinib (16 FGFR inhibitor-naive, 12 FGFR inhibitor-refractory) were analyzed using targeted next-generation sequencing. Genomic alterations observed were compared with those reported in prior studies of pan-FGFR inhibitor resistance and validated in preclinical models. Polyclonal FGFR2 kinase domain mutations and receptor tyrosine kinase-mitogen activated protein kinase (RTK-MAPK) bypass alterations emerged as common lirafugratinib resistance mechanisms in the FGFR inhibitor-naive context (8/16 and 9/16 patients, respectively). Resistance profiles differed markedly from pan-FGFR inhibitors, with decreased FGFR2 V565F/L and N550H/K mutations, increased M538I and L618F mutations, and more frequent RTK-MAPK bypass alterations. The variant allele fraction was typically higher for FGFR2 kinase domain mutations, consistent with these alterations serving as primary resistance drivers. Preclinical studies confirmed differential sensitivity of these FGFR2 mutations to lirafugratinib. Importantly, lirafugratinib demonstrated clinical efficacy in the FGFR inhibitor-refractory setting, with ctDNA dynamics showing resolution of multiple FGFR2 mutations and persistence or emergence of others. Lirafugratinib retains activity against multiple mutations that confer clinical resistance to pan-FGFR inhibitors. However, diverse resistance mechanisms, including various kinase domain mutations and RTK-MAPK bypass alterations, remain challenges in the treatment of FGFR2-altered tumors, even with selective FGFR2 kinase inhibition. Show less

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