Citations

ABSTRACT Evidence indicates that the integrity of in utero development influences late life healthy or unhealthy aging; however, specific links between them are unclear. Histone chaperone HIRA is thought to play a role in both life stages, and here, we explore this role using the murine pigmentary system by investigating and comparing the effects of its lineage‐specific knockout, either conditionally during embryogenesis or postnatally. Embryonic knockout of Hira in tyrosinase+ neural crest‐derived lineages, including melanoblasts, led to reduced melanoblast numbers during embryogenesis, with single‐cell RNA sequencing analysis indicating evidence of lineage‐specificity defects. This was supported in an in vitro model using melb‐a melanoblasts in which Hira knockdown affected lineage identity and melanoblast differentiation potential, with ATAC‐seq data indicating a role of HIRA in orchestrating chromatin accessibility. Interestingly, however, newborn Hira knockout mice had wild type numbers of differentiated melanocytes, albeit functionally defective, as demonstrated by very mild hypopigmentation of the first hair coat, increased melanocyte telomere‐associated DNA damage foci, and impaired response to proliferative challenge. Moreover, as they aged, mice with embryonic melanoblast Hira knockout displayed marked defects in melanocyte stem cell maintenance and premature hair graying. Importantly, this phenotype was not observed after postnatal inducible knockout, indicating an essential role for HIRA at embryonic stages that is transmitted to adulthood, rather than a direct postnatal requirement within the pigmentary system. This genetic model shows that HIRA function during early development lays a foundation for maintaining lineage identity and subsequent maintenance of adult tissue‐specific stem cells during aging.

AbstractBackgroundTraditionally, there has been a reluctance to use weight training with female gymnasts due to concerns that it could cause detrimental increases in muscle mass and impede flexibility. Recent literature has demonstrated that strength training has no significant effect on flexibility and can improve athletic performance.ObjectiveTo assess in a pilot study the perceptions of collegiate gymnasts and coaches toward strength training after starting inaugural strength and conditioning training.DesignSurvey‐based study.SettingNational Collegiate Athletics Association Division I women's gymnastics program at a public university in California.ParticipantsOf the 23 gymnasts surveyed, 17 (74%) responded to the survey. Of the two coaches surveyed, both (100%) responded to the survey.InterventionsNot applicable.Main Outcome MeasuresDescriptive statistics characterizing demographics, characteristics of gymnasts' strength and conditioning program, and perceptions regarding the safety of strength training and its impact on performance, body shape, flexibility, and injury rates.ResultsMost gymnasts agreed (35%) or strongly agreed (59%) that weight training may improve performance. All gymnasts disagreed (59%) or strongly disagreed (41%) that weight training is not safe; 41% disagreed, 29% strongly disagreed, and 17% agreed that weight training may negatively affect body shape. Most gymnasts disagreed (59%) or strongly disagreed (18%) that weight training decreases flexibility; four (24%) felt neutral. Eighty three percent (59% strongly agree, 24% agree) felt that weight training had a positive impact on performance. More than half of the gymnasts either agreed (24%) or strongly agreed (29%) they had fewer injuries the season after implementing weight training, compared to prior seasons. Both coaches similarly endorsed the safety of strength training and its potential to improve performance.ConclusionsIn this pilot study, collegiate gymnasts and coaches expressed generally positive perceptions toward the safety of strength training and its effect on performance. A small number of gymnasts expressed concerns regarding the effects of weight training on body shape and flexibility.

ABSTRACT EPHA2 is a receptor tyrosine kinase highly expressed in many cancers. By analyzing cancer patient databases for mutations in the EPHA2 coding sequence, we found that cholangiocarcinoma (a hepatobiliary cancer with dismal prognosis) exhibits a uniquely high incidence of EPHA2 mutations. To deUine the functional signiUicance of these mutations, we generated representative EPHA2 mutants and monitored major receptor autophosphorylation sites as indicative of kinase activity-dependent signal transduction (known as forward signaling). We found that missense mutations in the ligand-binding domain abrogate ligand binding and ligand-induced EPHA2 tyrosine phosphorylation, while most missense mutations in the kinase domain abrogate kinase activity. We detected less pronounced effects of missense mutations in other domains, which vary depending on the phosphosite, suggesting that these EPHA2 mutations might differentially affect (or bias) different downstream signaling pathways. Other EPHA2 mutations introduce early stop codons and encode receptor truncated forms lacking all or part of the kinase domain. We also found that an EPHA2 secreted truncated form, a transmembrane truncated form, and a full-length kinase inactive mutant can inhibit tyrosine phosphorylation of co-expressed EPHA2 wild-type. Taken together, these data suggest that mutations interfering with EPHA2 forward signaling facilitate cholangiocarcinoma development. We indeed obtained evidence that an EPHA2 kinase inactive mutant, but not EPHA2 wild-type, can induce proliferative masses consistent with well differentiated cholangiocarcinoma in a validated mouse model of cholangiocarcinogenesis. Taken together, our Uindings suggest that EPHA2 is a driver gene in cholangiocarcinoma and that its forward signaling has tumor suppressor activity.

AbstractBackgroundThe residual approach has found wide application in researching cognitive resilience, a phenomenon conceptually understood as cognitive performance being better‐than‐typical for an individual, despite apparent AD pathology. The standard residual approach extracts information about an individual’s resilience from the residuals of a linear model predicting cognition. This approach is subject to several limiting assumptions. Here, we explore the implications of these assumptions and propose an alternative predictive modeling approach which circumvents them.MethodsOur alternative approach relies on training a machine learning model on a sample of participants who follow a “typical” clinical progression (Fig. 1A). Residuals are then extracted for a heterogeneous dataset that potentially includes resilient participants by comparing observed cognitive outcomes to those predicted by the “typical” model (Fig. 1B). Additionally, our estimate can be refined by effectively estimating and removing model error from the extracted residual by leveraging a second predictive model (Fig. 1C). Using simulated data, we explore the assumptions made by the standard approach and the consequences of their violation. We then contrast this against our approach.ResultsOur simulations demonstrated that the standard residual approach only extracted accurate resilience estimates if the predictors used in the model explained cognition sufficiently well, while being unrelated to resilience itself. That is, as the predictors explain more of the resilience, the residuals became increasingly determined by model error (Fig. 2). We found that residuals achieved with our approach are more precise and provide individualized estimates that are unaffected by the aforementioned trade‐off (Fig. 3).ConclusionsOur approach holds several advantages over the standard approach: The definition of resilience can be freely adjusted and enforced via different definitions of “typical”, it allows for incorporating complex, non‐linear models without removing relevant information from the residual, the error component of the residual can be estimated through cross‐validation, and all predictors that potentially explain cognition can be included into the model without losing resilience information from the residual. Our approach can be used to measure any phenomenon that can be operationalized as a deviation from a typical outcome and, thus, is also applicable for researching resistance to pathology.

Abstract The newly proposed revised criteria for diagnosis and staging of Alzheimer's disease (AD) by the Alzheimer's Association (AA) Workgroup represent a significant milestone in the field. These criteria offer objective measures for diagnosing and staging biological AD, bridging the gap between research and clinical care. Although implementation feasibility may vary across regions and settings, improving the availability and accuracy of biomarkers, especially plasma biomarkers, is expected to enhance the applicability of these criteria in clinical practice. The Fall 2023 Alzheimer's Association Research Roundtable (AARR) meeting served as a forum for gathering industry perspectives and feedback on these revised criteria, ensuring that the new criteria inform research, clinical trial design, and clinical care. In this article, we outline a summary of the newly proposed “Revised Criteria for Diagnosis and Staging of AD: AA Workgroup” and provide highlights from the AARR meeting in fall 2023. Highlights The Alzheimer's Association Research Roundtable (AARR) convened leaders from industry, academia, and government, to review the Revised Criteria for Diagnosis and Staging of AD: AA Workgroup , and gather industry perspectives and feedback on these revised criteria before its publication. The newly proposed revised criteria for diagnosis and staging of Alzheimer's disease (AD) by the AA's Workgroup represent a significant milestone, offering objective measures for the biological and staging of AD and bridging the gap between research and clinical care. Improving the availability and accuracy of biomarkers, especially blood‐based biomarkers (BBMs) is expected to improve clinical research and enhance the applicability of these criteria in clinical practice.

Abstract Senescent cells drive tissue dysfunction through the senescence-associated secretory phenotype (SASP). We uncovered a central role for mitochondria in the epigenetic regulation of the SASP, where mitochondrial-derived metabolites, specifically citrate and acetyl-CoA, fuel histone acetylation at SASP gene loci, promoting their expression. We identified the mitochondrial citrate carrier (SLC25A1) and ATP-citrate lyase (ACLY) as critical for this process. Inhibiting these pathways selectively suppresses SASP without affecting cell cycle arrest, highlighting their potential as therapeutic targets for age-related inflammation. Notably, SLC25A1 inhibition reduces systemic inflammation and extends healthspan in aged mice, establishing mitochondrial metabolism as pivotal to the epigenetic control of aging.