Individual Phenotypes Research Articles

Expanding the Spectrum of Endocrine Abnormalities Associated with SOX11-related Disorders.

SOX11 variants cause Coffin-Siris Syndrome (CSS), characterized by developmental delay, hypogonadotropic hypogonadism (HH), skeletal and facial defects. To examine the contribution of SOX11 variants to the pathogenesis of Idiopathic Hypogonadotropic Hypogonadism (IHH), a disorder caused by hypothalamic GnRH deficiency. The Reproductive Endocrine Unit and the Pediatric Endocrinology Division, Massachusetts General Hospital. A cohort of 1810 unrelated IHH probands. Exome sequencing data from the entire cohort were examined for SOX11 rare single nucleotide variants (SNVs) [minor allele frequency in the gnomAD database <0.1%]. Rare SOX11 variant association testing was performed between the IHH and gnomAD population. Phenotyping of individuals harboring pathogenic/likely pathogenic SNVs (determined by the ACMG criteria) was performed. Four pathogenic SOX11 SNVs were identified in 5 IHH probands. The IHH cohort was enriched for SOX11 protein truncating SNVs (frameshift/nonsense) across the entire protein (2 SNVs in 3 IHH cases [p.S303X (de-novo); p.S345Afs*13]; p 0.0004981) and for SOX11 missense SNVs within the SOX11-high-mobility group (HMG) domain (2 SNVs in 2 IHH cases p.G84D[de-novo]; p.P114S; p=0.00313922). The phenotypic spectrum of SOX11 variant carriers revealed additional endocrine defects including anosmic and normosmic forms of IHH, growth-hormone deficiency, pituitary and hypothalamic structural defects, and hypothyroidism. A pathogenic SOX11 SNV was also identified in a patient with functional HH (FHH, p.R100Q). CSS-associated features were present in 4/5 probands. Deleterious SOX11 variants cause IHH and other pituitary hormone deficiencies, suggesting that the human SOX11-associated disorder may stem from both hypothalamic and pituitary level defects.

From dynamic FMR1 mutation to variable phenotypes: A case series from a large Tunisian family

AbstractBackgroundFragile X messenger ribonucleoprotein 1 gene (FMR1) disorders result from a mutation in the FMR1 gene, leading to a deficiency or absence of the FMRP. Full mutations and premutations of the FMR1 gene are known to cause completely different symptoms.AimTo determine the clinical phenotype of individuals with a full mutation or premutation of the FMR1 gene.MethodsWe report 6 patients of the same Tunisian family with different clinical phenotypes. We gathered recent findings on the clinical spectrum of FMR1 mutations from 2020 to 2024 using PubMed, Google Scholar, ScienceDirect, and Web of Science.ResultsOur observations revealed two first cousins, aged 4 and 13 years, respectively, with a medical history of recurrent infections. They exhibited developmental delay, hyperactivity, concentration difficulties, and autistic traits, with characteristic facial dysmorphia. Family investigation revealed a history of early menopause and primary ovary insufficiency diagnosis in their mothers and one aunt. The 79‐year‐old grandfather presented with recent memory and sleep disturbances, with signs suggestive of fragile X‐associated tremor/ataxia syndrome (FXTAS) on brain MRI. The genetic assessment confirmed the fragile X syndrome (FXS) in children and the fragile X‐associated primary ovarian insufficiency (FXPOI) in their mothers. Our search in literature uncovered a genetically diverse disorder exhibiting clinical variability influenced by factors such as gene size, methylation mosaicism, and the presence of premutations or full mutations, alongside various pathophysiological mechanisms.ConclusionClinical signs highlighted in our family report should alert clinicians to consider FXS, particularly facial dysmorphia and intellectual disability or language developmental delay, FXPOI for early menopause, and FXTAS for tremor and ataxia within the family context of FXS.

Transcriptome analysis reveals genetic regulation of growth diversity in F2 intergeneric hybrids of Megalobrama amblycephala and Culter alburnus

Hybridization between different genera can greatly shape the genotype and phenotype of individuals. It is possible to sporadically obtain individuals or populations with heterosis through conducting multiple rounds and stages of hybridization, backcrossing, and self-crossing. Investigating the regulatory relationship between allelic combinations from different species and specific economic traits in hybrid individuals will help us understand the genetic mechanism of heterosis. In this study, we conducted a transcriptomic analysis of 25 individuals from the F2 population obtained from the intergeneric hybridization of blunt snout bream (Megalobrama amblycephala, BSB) and topmouth culter (Culter alburnus, TC). We identified 94,897 SNPs on the subgenome BSB (originating from species BSB) and 26,372 SNPs on the subgenome TC (originating from species TC). By utilizing WGCNA to construct a co-expression network, we successfully identified 54 key genes involved in growth regulation. Of these, 8 genes from subgenome BSB show 7 positively influencing and 1 negatively influencing growth rate. Additionally, 46 genes in subgenome TC include 24 with positive and 22 with negative correlations to growth rate. Using eQTL analysis, we assessed associations between SNPs and gene expression levels for 3736 cis- and 7683 trans-regulatory events. In comparative analyses of eQTL and WGCNA, we detected 2 cis- and 16 trans-regulatory genes shared in them, indicating their potential regulatory network in growth diversity in the hybrid. These results help us understand the complex regulatory network of growth traits in intergeneric hybrids. It represents a significant advancement in molecular-assisted breeding, offering valuable insights for developing effective hybrid breeding strategies and achieving heterosis in populations or individuals.

Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds.

Why do individuals animals spontaneously change their preferences over time? While stable idiosyncratic behavioral preferences have been proposed to help species survive unpredictable environments as part of a bet-hedging strategy, the role of intraindividual shifts in preferences is unclear. Using Drosophila melanogaster , we show the stability of individual preferences is influenced by genetic background and neuromodulation, and is therefore a regulated phenomenon. We use theoretical modeling to show that shifts in preferences may be adaptive to environments that change within an individual's lifespan, including many real world patterns of environmental fluctuations. Together, this work suggests that the stability of individual preferences may affect the survival of species in unpredictable worlds - understanding that may be increasingly important in the face of anthropogenic change.

Clinically Relevant Genes Identified in Cerebral Palsy Cohorts Following Evaluation of the Clinical Description and Phenotype: A Systematic Review.

A growing number of genes have been identified in individuals with cerebral palsy (CP); however, many of these studies have poor compliance with the cerebral palsy clinical description. This systematic review aimed to assess the quality of the cerebral palsy clinical description/phenotype in cerebral palsy genetic studies published between 2010 and 2024 and report clinically relevant genes based on the quality of the cerebral palsy phenotype. An expert panel developed 6 criteria to review the reported cerebral palsy phenotype/description for each included study. Clinically relevant genes were extracted from each study and stratified into 2 tiers based on the quality. Eighteen studies were included. There was high confidence in the reported cerebral palsy description/phenotype from 8 studies. Of the initial 373 clinically relevant genes, 85 were tier II genes. Individual cerebral palsy motor disorder and phenotype data were absent for 349 of these individuals, limiting further analysis. The tier I gene list was composed of 6 genes: ATL1, COL4A1, GNAO1, KIF1A, SPAST, and TUBA1A. Bilateral spasticity was the most common motor disorder reported in individuals with variants in all 6 genes, and most individuals had accompanying conditions. Prioritizing the accurate reporting of motor and nonmotor phenotypes is crucial for future cerebral palsy genetic studies to further understand the underlying neurobiology.

Associations of Adipokine Levels With Levels of Remnant Cholesterol: The Multi-Ethnic Study of Atherosclerosis.

The metabolic syndrome phenotype of individuals with obesity is characterized by elevated levels of triglyceride-rich lipoproteins and remnant particles, which have been shown to be significantly atherogenic. Understanding the association between adipokines, endogenous hormones produced by adipose tissue, and remnant cholesterol (RC) would give insight into the link between obesity and atherosclerotic cardiovascular disease. We studied 1791 MESA (Multi-Ethnic Study of Atherosclerosis) participants who took part in an ancillary study on body composition with adipokine levels measured (leptin, adiponectin, and resistin) at either visit 2 or visit 3. RC was calculated as non-high-density lipoprotein cholesterol minus low-density lipoprotein cholesterol, measured at the same visit as the adipokines, as well as subsequent visits 4 through 6. Multivariable-adjusted linear mixed-effects models were used to assess the cross-sectional and longitudinal associations between adipokines and log-transformed levels of RC. Mean±SD age was 64.5±9.6 years; mean±SD body mass index was 29.9±5.0 kg/m2; and 52.0% were women. In fully adjusted cross-sectional models that included body mass index, diabetes, low-density lipoprotein cholesterol, and lipid-lowering therapy, for each 1-unit increment in adiponectin, there was 14.6% (95% CI, 12.2-16.9) lower RC. With each 1-unit increment in leptin and resistin, there was 4.8% (95% CI, 2.7-7.0) and 4.0% (95% CI, 0.2-8.1) higher RC, respectively. Lower adiponectin and higher leptin were also associated with longitudinal increases in RC levels over median follow-up of 5 (interquartile range, 4-8) years. Lower adiponectin and higher leptin levels were independently associated with higher levels of RC at baseline and longitudinal RC increase, even after accounting for body mass index and low-density lipoprotein cholesterol.

TAK-861, a potent, orally available orexin receptor 2-selective agonist, produces wakefulness in monkeys and improves narcolepsy-like phenotypes in mouse models

Narcolepsy type 1 (NT1) is associated with severe loss of orexin neurons and characterized by symptoms including excessive daytime sleepiness and cataplexy. Current medications indicated for NT1 often show limited efficacy, not addressing the full spectrum of symptoms, demonstrating a need for novel drugs. We discovered a parenteral orexin receptor 2 (OX2R) agonist, danavorexton, and an orally available OX2R agonist, TAK-994; both improving NT1 phenotypes in mouse models and individuals with NT1. However, danavorexton has limited oral availability and TAK-994 has a risk of off-target liver toxicity. To avoid off-target-based adverse events, a highly potent molecule with low effective dose is preferred. Here, we show that a novel OX2R-selective agonist, TAK-861 [N-{(2S,3R)-4,4-Difluoro-1-(2-hydroxy-2-methylpropanoyl)-2-[(2,3′,5′-trifluoro[1,1′-biphenyl]-3-yl)methyl]pyrrolidin-3-yl}ethanesulfonamide], activates OX2R with a half-maximal effective concentration of 2.5 nM and promotes wakefulness at 1 mg/kg in mice and monkeys, suggesting ~ tenfold higher potency and lower effective dosage than TAK-994. Similar to TAK-994, TAK-861 substantially ameliorates wakefulness fragmentation and cataplexy-like episodes in orexin/ataxin-3 and orexin-tTA;TetO DTA mice (NT1 mouse models). Compared with modafinil, TAK-861 induces highly correlated brain-wide neuronal activation in orexin-tTA;TetO DTA mice, suggesting efficient wake-promoting effects. Thus, TAK-861 has potential as an effective treatment for individuals with hypersomnia disorders including narcolepsy, potentially with a favorable safety profile.

Hearing restoration by gene replacement therapy for a multisite-expressed gene in a mouse model of human DFNB111 deafness

Gene therapy has made significant progress in the treatment of hereditary hearing loss. However, most research has focused on deafness-related genes that are primarily expressed in hair cells with less attention given to multisite-expressed deafness genes. MPZL2, the second leading cause of mild-to-moderate hereditary deafness, is widely expressed in different inner ear cells. We generated a mouse model with a deletion in the Mpzl2 gene, which displayed moderate and slowly progressive hearing loss, mimicking the phenotype of individuals with DFNB111. We developed a gene replacement therapy system mediated by AAV-ie for efficient transduction in various types of cochlear cells. AAV-ie-Mpzl2 administration significantly lowered the auditory brainstem response and distortion product otoacoustic emission thresholds of Mpzl2-/- mice for at least seven months. AAV-ie-Mpzl2 delivery restored the structural integrity in both outer hair cells and Deiters cells. This study suggests the potential of gene therapy for MPZL2-related deafness and provides a proof of concept for gene therapy targeting other deafness-related genes that are expressed in different cell populations in the cochlea.

The role of social motivation in sharing and fairness: insights from Williams syndrome

BackgroundSharing and fairness are important prosocial behaviors that help us navigate the social world. However, little is known about how and whether individuals with Williams Syndrome (WS) engage in these behaviors. The unique phenotype of individuals with WS, consisting of high social motivation and limited social cognition, can also offer insight into the role of social motivation in sharing and fairness when compared to typically developing (TD) individuals. The current study used established experimental paradigms to examine sharing and fairness in individuals with WS and TD individuals.MethodsWe compared a sample of patients with WS to TD children (6-year-olds) matched by mental age (MA) on two experimental tasks: the Dictator Game (DG, Experiment 1, N = 17 WS, 20 TD) with adults modeling giving behaviors used to test sharing and the Inequity Game (IG, Experiment 2, N = 14 WS, 17 TD) used to test fairness.ResultsResults showed that the WS group behaved similarly to the TD group for baseline giving in the DG and in the IG, rejecting disadvantageous offers but accepting advantageous ones. However, after viewing an adult model giving behavior, the WS group gave more than their baseline, with many individuals giving more than half, while the TD group gave less. Combined these results suggest that social motivation is sufficient for sharing and, in particular, generous sharing, as well as the self-focused form of fairness. Further, individuals with WS appear capable of both learning to be more generous and preventing disadvantageous outcomes, a more complex profile than previously known.ConclusionsIn conclusion, the present study provides a snapshot into sharing and fairness-related behaviors in WS, contributing to our understanding of the intriguing social-behavioral phenotype associated with this developmental disorder.

Global 13C tracing and metabolic flux analysis of intact human liver tissue ex vivo.

Liver metabolism is central to human physiology and influences the pathogenesis of common metabolic diseases. Yet, our understanding of human liver metabolism remains incomplete, with much of current knowledge based on animal or cell culture models that do not fully recapitulate human physiology. Here, we perform in-depth measurement of metabolism in intact human liver tissue ex vivo using global 13C tracing, non-targeted mass spectrometry and model-based metabolic flux analysis. Isotope tracing allowed qualitative assessment of a wide range of metabolic pathways within a single experiment, confirming well-known features of liver metabolism but also revealing unexpected metabolic activities such as de novo creatine synthesis and branched-chain amino acid transamination, where human liver appears to differ from rodent models. Glucose production ex vivo correlated with donor plasma glucose, suggesting that cultured liver tissue retains individual metabolic phenotypes, and could be suppressed by postprandial levels of nutrients and insulin, and also by pharmacological inhibition of glycogen utilization. Isotope tracing ex vivo allows measuring human liver metabolism with great depth and resolution in an experimentally tractable system.

MED13L-related disorder characterized by severe motor speech impairment.

MED13L-related disorder is associated with intellectual disability, motor delay, and speech deficits. Previous studies have focused on broad clinical descriptions of individuals, but limited information regarding specific speech diagnoses and results of direct testing has been published to date. We conducted deep phenotyping to characterize the speech, language, motor, cognitive, and adaptive phenotypes of individuals with MED13L-related disorder. In this cross-sectional study, we administered standardized articulation, language, motor, and cognitive testing to 17 children and adolescents (mean age 9y 9m; SD 4y 5m; range 4y 2m to 19y 7m). In-person testing was supplemented with broad developmental, medical, and behavioral information collected virtually from a cohort of 67 individuals. All individuals who completed in-person articulation testing met diagnostic criteria for speech apraxia, dysarthria, or both. Language impairment was present in all of the in-person cohort and almost all (97%) of the virtual cohort. Those who were able to complete motor testing demonstrated significant deficits in visual motor integration (mean 57.08, SD 9.26). Full scale IQs fell in the borderline to intellectual disability range, consistent with reported cognitive impairment in 97% of the virtual cohort. Notable medical features included hypotonia (83%), vision problems (72%), recurrent otitis media (58%), gastrointestinal problems (57%), and seizures (31%). MED13L-related disorder is characterized by a high rate of motor speech disorders that occur in the context of globally impaired motor, language, and cognitive skills. Children would benefit from intensive, individualized speech therapy and the early adoption of augmentative communication strategies.

Induction of male-like mandibles in XX individuals of a stag beetle by gene knockdown of a feminizer gene transformer.

Males and females share most of the genome, but many animals show different phenotypes between the sexes, known as sexual dimorphism. Many insect species show extreme sexual dimorphism, including beetles with "weapon traits" represented by extremely developed horns and mandibles. Existing studies of sex-specific development of beetle weapon traits suggest that sex-specific gene expression plays an important role. On the other hand, contributions of the Y-chromosome, which may potentially carry genes necessary for male development, to weapon trait expression have not been examined. In holometabolous insects, including beetles, the feminizing gene transformer (tra) is roughly conserved in its feminizing function. Only females express a functional isoform of Tra, which causes female differentiation. Knocking down tra in females leads to male tissue differentiation, enabling us to analyze male phenotypes in individuals lacking a Y-chromosome (XX-males). In this study, we investigate whether the Y-chromosome is necessary for stag beetles to express male-specific weapon traits by comparing tra-knockdown-induced XX-males with natural XY males. We show that XX-males could express weapons (enlarged mandibles) as in XY-males. These results suggest that the Y-chromosome does not have a major role in weapon trait expression in this species.

PPP3CA gene-related developmental and epileptic encephalopathy: Expanding the electro-clinical phenotype

PurposeThe objective of this study is to characterize the electro-clinical phenotype of individuals affected by the rare PPP3CA gene-related developmental and epileptic encephalopathy (DEE). MethodsWe provide a detailed electro-clinical description of four previously unreported subjects, with unremarkable structural brain MRI and a normal screening for inborn errors of metabolism, who carry pathogenic variants within the regulatory domain of the PPP3CA gene, which encodes for calcineurin. We also conducted a literature review via PubMed and SCOPUS (up to December 2023) to collect all the studies reporting clinical details of subjects with PPP3CA pathogenic variants within the regulatory domain. ResultsOur in-depth investigation reveals two distinct electro-clinical phenotypes with unique interictal and ictal patterns. Pathogenic variants within the calmodulin-binding domain result in childhood-onset epilepsy with focal and generalized seizures, developmental and intellectual impairments. Pathogenic variants within the regulatory domain lead to early onset drug-resistant severe epilepsy and potentially fatal outcomes. Comparative analysis with existing literature corroborates the notion that truncating mutations, prevalent in the regulatory domain but also possible in the calmodulin-binding domain, consistently associate with more profound disabilities and drug-resistant epilepsy. ConclusionOur study emphasizes the critical role of pathogenic variants’ type and location on the severity of PPP3CA-related DEE. We also speculate, based on peculiar EEG patterns, on potential pathophysiological mechanisms involving calcineurin dysfunction and calcium homeostasis. In order to improve our understanding of this rare DEE, we need both collaborative efforts to gather larger cohorts and further experimental studies.

Constraint-based modelling predicts metabolic signatures of low and high-grade serous ovarian cancer

Ovarian cancer is an aggressive, heterogeneous disease, burdened with late diagnosis and resistance to chemotherapy. Clinical features of ovarian cancer could be explained by investigating its metabolism, and how the regulation of specific pathways links to individual phenotypes. Ovarian cancer is of particular interest for metabolic research due to its heterogeneous nature, with five distinct subtypes having been identified, each of which may display a unique metabolic signature. To elucidate metabolic differences, constraint-based modelling (CBM) represents a powerful technology, inviting the integration of ‘omics’ data, such as transcriptomics. However, many CBM methods have not prioritised accurate growth rate predictions, and there are very few ovarian cancer genome-scale studies. Here, a novel method for CBM has been developed, employing the genome-scale model Human1 and flux balance analysis, enabling the integration of in vitro growth rates, transcriptomics data and media conditions to predict the metabolic behaviour of cells. Using low- and high-grade ovarian cancer, subtype-specific metabolic differences have been predicted, which have been supported by publicly available CRISPR-Cas9 data from the Cancer Cell Line Encyclopaedia and an extensive literature review. Metabolic drivers of aggressive, invasive phenotypes, as well as pathways responsible for increased chemoresistance in low-grade cell lines have been suggested. Experimental gene dependency data has been used to validate areas of the pentose phosphate pathway as essential for low-grade cellular growth, highlighting potential vulnerabilities for this ovarian cancer subtype.

Child maltreatment as a transdiagnostic risk factor for the externalizing dimension: a Mendelian randomization study.

Observational studies suggest that child maltreatment increases the risk of externalizing spectrum disorders such as attention deficit hyperactivity disorder (ADHD), conduct disorder (CD), antisocial personality disorder (ASPD), and substance use disorder (SUD). Yet, only few of such associations have been investigated by approaches that provide strong evidence for causation, such as Mendelian Randomization (MR). Establishing causal inference is essential given the growing recognition of gene-environment correlations, which can confound observational research in the context of childhood maltreatment. Evaluating causality between child maltreatment and the externalizing phenotypes, we used genome-wide association study (GWAS) summary data for child maltreatment (143,473 participants), ADHD (20,183 cases; 35,191 controls), CD (451 cases; 256,859 controls), ASPD (381 cases; 252,877 controls), alcohol use disorder (AUD; 13,422 cases; 244,533 controls), opioid use disorder (OUD; 775 cases; 255,921 controls), and cannabinoid use disorder (CUD; 14,080 cases; 343,726 controls). We also generated a latent variable 'common externalizing factor' (EXT) using genomic structural equation modeling. Genetically predicted childhood maltreatment was consistently associated with ADHD (odds ratio [OR], 10.09; 95%-CI, 4.76-21.40; P = 1.63 × 10-09), AUD (OR, 3.72; 95%-CI, 1.85-7.52; P = 2.42 × 10-04), and the EXT (OR, 2.64; 95%-CI, 1.52-4.60; P = 5.80 × 10-04) across the different analyses and pleiotropy-robust methods. A subsequent GWAS on childhood maltreatment and the externalizing dimension from Externalizing Consortium (EXT-CON) confirmed these results. Two of the top five genes with the strongest associations in EXT GWAS, CADM2 and SEMA6D, are also ranked among the top 10 in the EXT-CON. The present results confirm the existence of a common externalizing factor and an increasing vulnerability caused by child maltreatment, with crucial implications for prevention. However, the partly diverging results also indicate that specific influences impact individual phenotypes separately.

The Current Molecular and Cellular Landscape of Chronic Obstructive Pulmonary Disease (COPD): A Review of Therapies and Efforts towards Personalized Treatment.

Chronic obstructive pulmonary disease (COPD) ranks as the third leading cause of global illness and mortality. It is commonly triggered by exposure to respiratory irritants like cigarette smoke or biofuel pollutants. This multifaceted condition manifests through an array of symptoms and lung irregularities, characterized by chronic inflammation and reduced lung function. Present therapies primarily rely on maintenance medications to alleviate symptoms, but fall short in impeding disease advancement. COPD's diverse nature, influenced by various phenotypes, complicates diagnosis, necessitating precise molecular characterization. Omics-driven methodologies, including biomarker identification and therapeutic target exploration, offer a promising avenue for addressing COPD's complexity. This analysis underscores the critical necessity of improving molecular profiling to deepen our comprehension of COPD and identify potential therapeutic targets. Moreover, it advocates for tailoring treatment strategies to individual phenotypes. Through comprehensive exploration-based molecular characterization and the adoption of personalized methodologies, innovative treatments may emerge that are capable of altering the trajectory of COPD, instilling optimism for efficacious disease-modifying interventions.

Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty?

Precise implant positioning, tailored to individual spinopelvic biomechanics and phenotype, is paramount for stability in total hip arthroplasty (THA). Despite a few studies on instability prediction, there is a notable gap in research utilizing artificial intelligence (AI). The objective of our pilot study was to evaluate the feasibility of developing an AI algorithm tailored to individual spinopelvic mechanics and patient phenotype for predicting impingement. This international, multicentre prospective cohort study across two centres encompassed 157 adults undergoing primary robotic arm-assisted THA. Impingement during specific flexion and extension stances was identified using the virtual range of motion (ROM) tool of the robotic software. The primary AI model, the Light Gradient-Boosting Machine (LGBM), used tabular data to predict impingement presence, direction (flexion or extension), and type. A secondary model integrating tabular data with plain anteroposterior pelvis radiographs was evaluated to assess for any potential enhancement in prediction accuracy. We identified nine predictors from an analysis of baseline spinopelvic characteristics and surgical planning parameters. Using fivefold cross-validation, the LGBM achieved 70.2% impingement prediction accuracy. With impingement data, the LGBM estimated direction with 85% accuracy, while the support vector machine (SVM) determined impingement type with 72.9% accuracy. After integrating imaging data with a multilayer perceptron (tabular) and a convolutional neural network (radiograph), the LGBM's prediction was 68.1%. Both combined and LGBM-only had similar impingement direction prediction rates (around 84.5%). This study is a pioneering effort in leveraging AI for impingement prediction in THA, utilizing a comprehensive, real-world clinical dataset. Our machine-learning algorithm demonstrated promising accuracy in predicting impingement, its type, and direction. While the addition of imaging data to our deep-learning algorithm did not boost accuracy, the potential for refined annotations, such as landmark markings, offers avenues for future enhancement. Prior to clinical integration, external validation and larger-scale testing of this algorithm are essential.

Analysis of microisolated frontal cortex excitatory layer III and V pyramidal neurons reveals a neurodegenerative phenotype in individuals with Down syndrome.

We elucidated the molecular fingerprint of vulnerable excitatory neurons within select cortical lamina of individuals with Down syndrome (DS) for mechanistic understanding and therapeutic potential that also informs Alzheimer's disease (AD) pathophysiology. Frontal cortex (BA9) layer III (L3) and layer V (L5) pyramidal neurons were microisolatedfrom postmortem human DS and age- and sex-matched controls (CTR) to interrogate differentially expressed genes (DEGs) and key biological pathways relevant to neurodegenerative programs. We identified > 2300 DEGs exhibiting convergent dysregulation of gene expression in both L3 and L5 pyramidal neurons in individuals with DS versus CTR subjects. DEGs included over 100 triplicated human chromosome 21 genes in L3 and L5 neurons, demonstrating a trisomic neuronal karyotype in both laminae. In addition, thousands of other DEGs were identified, indicating gene dysregulation is not limited to trisomic genes in the aged DS brain, which we postulate is relevant to AD pathobiology. Convergent L3 and L5 DEGs highlighted pertinent biological pathways and identified key pathway-associated targets likely underlying corticocortical neurodegeneration and related cognitive decline in individuals with DS. Select key DEGs were interrogated as potential hub genes driving dysregulation, namely the triplicated DEGs amyloid precursor protein (APP) and superoxide dismutase 1 (SOD1), along with key signaling DEGs including mitogen activated protein kinase 1 and 3 (MAPK1, MAPK3) and calcium calmodulin dependent protein kinase II alpha (CAMK2A), among others. Hub DEGs determined from multiple pathway analyses identified potential therapeutic candidates for amelioration of cortical neuron dysfunction and cognitive decline in DS with translational relevance to AD.

Social, not genetic, programming of development and stress physiology of a colonial seabird.

Phenotypic differences often stem from genetic/maternal differences and/or early-life adaptations to local environmental conditions. In colonial animals, little is known on how variation in the social environment is embedded into individual phenotypes, nor what the consequences are on individual fitness. We conducted an experimental cross-fostering study on king penguins (Aptenodytes patagonicus), exchanging eggs among 134 pairs breeding in high-density (67 pairs) or low-density (67 pairs) areas of the same breeding colony. We investigated differences in parent and chick phenotypes and survival in relation to the density of their origin and foster environment. Adults breeding in colony areas of high density exhibited decreased resting behaviour and increased aggression and vigilance, increased hypometabolism during incubation fasts, and more moderate corticosterone responses shaped by exposure to chronic stressors (e.g. constant aggression by neighbours). Chick phenotypes were more influenced by the environment in which they were raised than their genetic/maternal origin. Chicks raised in high-density colonial environments showed enhanced weight gain and survival rates regardless of the density of their genetic parents' breeding areas. Our study experimentally shows advantages to breeding in colonial areas of higher breeder densities in king penguins, and highlights the importance of social settings in shaping phenotype expression in colonial seabirds.

Current Updates on the Understanding of the Role of DNA Methylation on Obesity.

Obesity is a condition in which there is an accumulation of excess body fat leading to a weight far above the normal range that poses significant health risks. According to WHO, 8 billion people in the world were obese in 2022. Consequently, obesity has become a pandemic with negative impacts on both global health and economies. Obesity is influenced by various factors including environmental influences, lifestyle choices, gut microbiota, genetic factors, and epigenetic mechanisms such as DNA methylation. DNA methylation can affect an individual's phenotype and condition without altering their DNA sequence. It is the most extensively studied epigenetic alteration and it plays an important part in controlling gene activity associated with obesity. Numerous studies have indicated that DNA methylation is implicated in obesity, thus this review aims to elaborate the roles of DNA methylation to inform the development of preventive measures for obesity.