Variants Of Significance Research Articles

Cardiovascular Disease Pathogenicity Predictor (CVD-PP): A Tissue-Specific In Silico Tool for Discriminating Pathogenicity of Variants of Unknown Significance in Cardiovascular Disease Genes.

Interpretation of variants of uncertain significance (VUSs) remains a challenge in the care of patients with inherited cardiovascular diseases (CVDs); 56% of variants within CVD risk genes are VUS, and machine learning algorithms trained upon large data resources can stratify VUS into higher versus lower probability of contributing to a CVD phenotype. We used ClinVar pathogenic/likely pathogenic and benign/likely benign variants from 47 CVD genes to build a predictive model of variant pathogenicity utilizing measures of evolutionary constraint, deleteriousness, splicogenicity, local pathogenicity, cardiac-specific expression, and population allele frequency. Performance was validated using variants for which the ClinVar pathogenicity assignment changed. Functional validation was assessed using prior studies in >900 identified VUS. The model utility was demonstrated using the Catheterization Genetics cohort. We identified a top-ranked model that accurately prioritized variants for which ClinVar clinical significance had changed (n=663; precision-recall area under the curve, 0.97) and performed well compared with conventional in silico methods. This model (CVD pathogenicity predictor) also had high accuracy in prioritizing VUS with functional effects in vivo (precision-recall area under the curve, 0.58). In Catheterization Genetics, there was a greater burden of higher CVD pathogenicity predictor scored VUS in individuals with dilated cardiomyopathy compared with controls (P=8.2×10-15). Of individuals in Catheterization Genetics who harbored highly ranked CVD pathogenicity predictor VUS meeting clinical pathogenicity criteria, 27.6% had clinical evidence of disease. Variant prioritization using this model increased genetic diagnosis in Catheterization Genetics participants with a known clinical diagnosis of hypertrophic cardiomyopathy (7.8%-27.2%). We present a cardiac-specific model for prioritizing variants underlying CVD syndromes with high performance in discriminating the pathogenicity of VUS in CVD genes. Variant review and phenotyping of individuals carrying VUS of pathogenic interest support the clinical utility of this model. This model could also have utility in filtering variants as part of large-scale genomic sequencing studies.

Protein quantitative trait loci identifies genetic biomarkers of proteins associated with measures of myocardial fibrosis in new-onset, treatment naive rheumatoid arthritis

Abstract Introduction The excess risk of cardiovascular disease (CVD) in patients with rheumatoid arthritis (RA) compared to the general population is attributed to chronic inflammation. Identifying the underlying mechanisms and shared inflammatory pathways more precisely would enable tailored treatment. Purpose To identify genetic variants associated with the cardio-metabolic-inflammatory proteomic signature in patients with early, treatment-naïve RA and low CVD risk. Methods The Coronary Artery Disease Evaluation in RA (CADERA) study was a bolt-on to a RCT of patients with early, treatment-naïve RA and low CVD risk profile (maximum of 1 traditional CVD risk factor and no diabetes mellitus). Normalised expression of 334 proteins from 75 CADERA patients who underwent cardiovascular magnetic resonance imaging (CMR) was measured using the Olink Proximity Extension Immunoassay across Inflammation, Cardiovascular II, III and Cardiometabolic panels. Genome-wide single nucleotide polymorphism (SNP) data were generated using the Illumina Global Screening Array and was imputed and checked for data quality using standard approaches. Proteins associated with CMR parameters were identified using Bayesian mixed effects linear regression. Protein quantitative trait locus (pQTL) analysis was then performed using linear regression models adjusted for age, gender, and systolic blood pressure. Cis-pQTLs were defined as SNPs within 1Mb of the protein-encoding gene, and significance threshold was set at 1e-5. Due to sample size, trans-pQTLs were not considered in this analysis. Linkage disequilibrium (LD) clumping was performed using PLINK software to identify index SNPs defined as the most significant variant in LD (r2 <0.5) within a region of +/- 250Kb. Results Following quality control 318 proteins and 5,971,781 SNPs were available for analysis in 75 CADERA patients. The median age was 51 years [inter-quartile range (IQR) 40 - 61] with 52/75 (69%) females, 40/75 (53%) current/ex-smokers, and median body mass index (BMI) 26.4kg/m2 (IQR 23.3 - 28). Participants had a median RA symptom duration of 21.9 weeks (IQR 14.4 - 32.7). Only 8/75 (10%) reported a history of hypertension, hypercholesteroaemia or family history of CVD. 54 out of 318 proteins were associated with CMR measures of myocardial fibrosis and/or vascular stiffness. 460 cis-pQTLs were identified for 20 out of the 318 proteins. LD clumping revealed 40 cis-pQTLs independently associated with these 20 proteins. Of these, NOTCH3 (rs34763630) was positively associated with extracellular volume, and SELPLG (rs7980427) was negatively associated with late gadolinium enhancement as detected on CMR (table 1). No other proteins with genetic support were associated with CMR measures. Conclusion This study for the first time, implicates genetic markers associated with two proteins as putative candidate biomarkers of CMR-identified myocardial fibrosis in new-onset RA that now warrant validation in an independent cohort.

Genotype predicts heart failure independent of left ventricular ejection fraction and NT-proBNP levels in hypertrophic cardiomyopathy

Abstract Background/Introduction Hypertrophic cardiomyopathy (HCM) is a myocardial disease associated with progression to heart failure. In around 40% of cases, the disease is caused by variants in genes encoding sarcomere proteins. Purpose To evaluate the role of genotype in predicting heart failure (HF) outcomes. Methods In this observational single-centre cohort study, consecutive patients with HCM were assessed for heart failure clinically stratified by genetic status into genotype-elusive which included those with no significant variants (G-) or variants of unknown significance (VUS) and genotype-positive (G+) with pathogenic/likely pathogenic (LP/P) variants. Heart failure endpoint was defined as left ventricular assist device implantation, heart transplantation or heart-failure-related death. The incidence of HF endpoint was compared between genotypes during follow-up using a time-to-event analysis. Results 474 patients (50.9 ±14.5 years, 67.3 males) with HCM (25% with left ventricular (LV) outflow obstruction) were followed for 10.9 years (IQR 5.1-13.5). G+ LP/P patients (201/474 (42.4%)) were younger (45.8. ±14.0 years) compared to G- (225/474 (47.5%), 55.2 ±13.4 years) and VUS (48/474 (10.1%), 52.0 ± 15 years); 29/474 (6.1%) reached the heart failure endpoint. The incidence of heart failure endpoints was 12.4% (25/201) in the G+ LP/P group compared to 1.5% (4/273) in the gene elusive group. A multivariate Cox proportional hazards model including NT-proBNP and LV ejection fraction (LVEF) and genetic status showed that G+ LP/P was associated with increased risk of heart failure outcomes (HR: 5.11, 95% CI: 1.43–18.25, p=0.012). Every 100-unit rise in NT-proBNP was associated with a 41% increase in risk (HR: 1.41, 95% CI: 1.20–1.66, p<0.0001). A one-unit (1%) reduction in LVEF correlated with a 10% increase in heart failure risk (HR: -0.90, 95% CI: 0.87–0.93, p<0.0001). Conclusion(s) Genetic status is a predictor of heart failure outcomes independent of LVEF and NT-proBNP levels in HCM. This underscores the importance of genetic testing in the clinical management of HCM.

Improving the yield of genetic testing in dilated cardiomyopathy using late gadolinium enhancement

Abstract Background Genetic testing has become an important tool in the work-up of dilated cardiomyopathy (DCM), aiding in family screening and providing information about prognosis and arrhythmic risk. Nonetheless, a significant proportion of patients with DCM present negative genetic test results. The "Madrid Score" was created to evaluate the likelihood of positive genetic tests and increase their yield in DCM patients. Purpose To determine if late gadolinium enhancement (LGE) assessment can improve the Madrid Score accuracy and increase the yield of genetic tests for DCM. Methods A single-centre retrospective study of patients diagnosed with DCM who underwent cardiac magnetic resonance (CMR) and genetic test between January 2017 and October 2023. The CMR imaging included the assessment of LGE. Multivariate logistic regression was performed and the model’s change in performance was evaluated when adding LGE. Results A total of 90 patients with the diagnosis of DCM underwent CMR and genetic test during the study period. Patient’s mean age was 51.0±14.6 years, and 57.1% were male. The genetic test was positive (G+) in 42 (46.7%), and negative (G-) in 48 (53.3%) patients. A variant of uncertain significance was present in 31 (34.4%), and these were included in the G- group. Most of the known independent predictors of a G+ given by the Madrid Score were significant in our cohort: Family history of DCM (OR: 4.82; CI: 1.73-11.60; p < 0.001), absence of hypertension (OR: 0.19; CI: 0.06-0.58; p < 0.001), absence of left bundle branch block (OR: 0.22; CI: 0.05-0.98; p = 0.047), and low electrocardiogram voltage in peripheral leads (OR: 3.13; CI: 0.87-11.26; p = 0.081). When analyzing the effect of LGE in the regression model (R2 = 0.622, p < 0.001), we found that the number of LGE segments (OR: 2.54; CI: 1.10-5.90; p = 0.031), and the presence of LGE in the anterior wall (OR: 3.01; CI: 1.42-12.04; p = 0.041), were associated with a higher rate of positive genetic tests. When comparing both regression models, the incorporation of LGE increased the prediction power of the standard Madrid Score, correctly predicting 82.0% of the tests in our sample, with a probability of a G+ result ranging from 2% when all predictors were absent to 84% when ≥6 predictors, including LGE, were present. Conclusion Our study suggests that LGE assessment may enhance the Madrid Score performance and consequently improve genetic testing decisions in DCM, potentially leading to better use of the limited resources in our health care system.

Metabolomic profiling of the entire UK Biobank enables interpretation of familial hypercholesterolemia mutations and prediction of severe cardiovascular outcomes

Abstract Background Familial hypercholesterolemia (FH) is an inherited disorder resulting in high levels of LDL-C from birth. Premeature coronary heart disease occurs in half of affected men by age 50 years(1). While many genetic variants that cause FH are well understood, there are also many variants in FH genes that are of uncertain clinical significance. Furthermore, the variability in residual cardiovascular risk of FH carriers after statin treatment is not fully understood. We here investigate whether metabolomic and genomic data from the 500,000 person UK Biobank cohort can aid in interpretation of candidate pathogenic variants for FH, and characterise future risk of severe cardiac events in the carriers of such variants. Methods We have quantified 249 metabolomic parameters in 490,830 blood samples from UK Biobank cohort. Among 186,483 participants with exome sequence data we identified 896 who carried known pathogenic FH variants and 405 who carried variants of unknown significance in an established FH gene. We fitted a logistic predictive model to identify pathogenic mutations using LDL levels, statin use and 17 principal components of the metabolomic parameters. We further tested whether metabolomic and genomic scores for predicting future risk of myocardial infarction (MI), that were trained in the general population (i.e. individuals without FH), could predict risk in FH carriers. Results A model including all metabolites had a higher accuracy at identifying known pathogenic FH variants (36/56 at FDR < 0.05), compared to LDL and statin use alone (30/56). Our model also identified 8 FH variants marked as uncertain significance in ClinVar with significant (FDR < 0.05) evidence of predicted pathogenicity. We found that our metabolomic risk score predicted 10-year risk of MI among FH carriers (HR=1.96 per SD, p = 0.0011). This was indeed stronger than the effect in the general population (HR = 1.64 per SD, p = 2.5e-168). A combined metabolomic and polygenic risk score had an even larger effect at predicting MI in FH carriers (HR = 3.06 per SD, p = 2.0e-6), and this score was significantly better at predicting MI in FH carriers than in non-carriers (HR = 3.06 vs 1.88 per SD, interaction p = 0.042). Conclusion Familial hypercholesterolemia is an important source of risk for early cardiovascular disease. Population-scale metabolomics can help distinguish pathogenic from benign variants that have not yet been characterised. Metabolomic and genomic scores can also identify individuals at most elevated risk, and provide even more information to FH individuals than in the general population.

Whole-exome sequencing to identify causative variants in cases of sudden cardiac death below 50 years

Abstract Background Sudden cardiac death (SCD) in individuals under 50 frequently remains unexplained, especially when no structural cardiac abnormalities are present, a condition known as sudden arrhythmic death (SAD). This study assesses the utility of whole exome sequencing (WES) with a comprehensive gene panel in elucidating the genetic foundations of SCD. Methods SCD autopsy cases from a university hospital (1995-2023) were analysed both retrospectively and prospectively. WES was conducted on 32 cases, employing a virtual panel of 1,304 genes. Variant prioritization was based on pathogenicity according to American College of Medical Genetics and Genomics guidelines. Results WES unveiled causative variants in 22 out of 32 cases (68% diagnostic yield). Of these, 12 cases (38%) possessed pathogenic or likely pathogenic variants, and 17 highly suspicious variants of uncertain significance (VUS/LP) were identified in 10 patients (31%). The diagnostic yield of our comprehensive panel (69%) surpassed that of major susceptibility gene panels, with 22% for primary susceptibility genes and 56% for the TruSight Cardio Panel. Half of the cases had multiple variants, underscoring the genetic complexity of SCD. Of the genes analysed, 18 were associated with cardiac disease on OMIM or ClinGen, while 9, unique to our panel, were linked to cardiac function but had disputed or limited disease associations. Conclusions WES with a specific gene panel, a scheme for variant prioritization, and a comprehensive, multidisciplinary approach to variant interpretation is an effective approach to genetic testing in SCD cases ≤50 years.Added value of WES

Case report: The first known case of male retroperitoneal mesonephric-like adenocarcinoma

AimWe aimed to analyze the clinico-pathological and molecular features of mesonephric-like adenocarcinoma (MLA) to enhance understanding of this tumor type.MethodsThis is the first case of MLA occurring in the retroperitoneum of a male patient. Clinico-pathological and molecular characteristics were analyzed, and the relevant literature was reviewed.ResultsA 65-year-old elderly male was admitted to the hospital with mild bilateral dull pain in the lumbar region for more than 1 month, accompanied by a feeling of dysuria. CT tomography revealed a retroperitoneal tumor. While tumor immuno-histochemistry was positive for CK, CK7, Vimentin, PAX-8, CD10, GATA-3, EMA, and CR to varying degrees, it was negative for P53, WT-1, HMB45, MelanA, CD117, DOG-1, CD34, S-100, ER, PR, AR, CEA, α-inhibin and TTF-1. Ki67 index was <10% in most areas and was approximately 30% in the hotspot areas in the glandular ductal region. Molecular detection (Next-generation sequencing method, 425-gene panel from NanjingShihe Gene Biotechnology Co., Ltd. for targeted DNA enrichment): No clinically significant variants detected. The final pathological diagnosis was a retroperitoneal malignant tumor consistent with a well-moderately differentiated MLA.ConclusionMLA in the retroperitoneum of men has not been reported yet. The diverse morphology and unclear molecular characteristics of this tumor mandate careful diagnosis for good clinical outcomes.

Clinical Assessment and Genetic Testing for Hereditary Polyposis Syndromes in an Italian Cohort of Patients with Colorectal Polyps

Background: Hereditary polyposis syndromes are clinically and genetically heterogeneous conditions associated with increased colorectal cancer risk. They are classified based on polyp histology, inheritance mode, causal gene, and colonic and extracolonic manifestations. Their diagnosis is challenging due to overlapping and heterogeneous clinical presentations. Methods: A multigene next-generation sequencing panel was used to screen 75 index cases with colorectal polyps and a personal/family history of cancer for key hereditary polyposis-associated genes (APC, BMPR1A, MUTYH, PTEN, SMAD4, and STK11) in order to identify germline genetic variants. Results: In the screened index cases, we found 14 pathogenic variants involving APC, MUTYH, SMAD4, and STK11 and 6 variants of uncertain significance involving APC, BMPR1A, and SMAD4. In this cohort, four patients not fulfilling the recommended eligibility criteria of current National Comprehensive Cancer Network (NCCN) guidelines for genetic testing were molecularly diagnosed with a hereditary polyposis syndrome. Conclusions: Our findings indicate that stringent NCCN eligibility criteria for molecular screening may lead to missing some of the patients affected by hereditary polyposis syndromes. This highlights the need for a careful evaluation of patients’ clinical manifestations, polyp number, age of polyp onset, and family history to select appropriate candidates for molecular diagnosis of these conditions.

Reporting of somatic variants in clinical cancer care: recommendations of the Swiss Society of Molecular Pathology.

Somatic variant testing through next-generation sequencing (NGS) is well integrated into Swiss molecular pathology laboratories and has become a standard diagnostic method for numerous indications in cancer patient care. Currently, there is a wide variation in reporting practices within our country, and as patients move between different hospitals, it is increasingly necessary to standardize NGS reports to ease their reinterpretation. Additionally, as many different stakeholders-oncologists, hematologists, geneticists, pathologists, and patients-have access to the NGS report, it needs to contain comprehensive and detailed information in order to answer the questions of experts and avoid misinterpretation by non-experts. In 2017, the Swiss Institute of Bioinformatics conducted a survey to assess the differences in NGS reporting practices across ten pathology institutes in Switzerland. The survey examined 68 reporting items and identified 48 discrepancies. Based on these findings, the Swiss Society of Molecular Pathology initiated a Delphi method to reach a consensus on a set of recommendations for NGS reporting. Reports should include clinical information about the patient and the diagnosis, technical details about the sample and the test performed, and a list of all clinically relevant variants and variants of uncertain significance. In the absence of a consensus on an actionability scheme, the five-class pathogenicity scheme proposed by the ACMG/AMP guideline must be included in the reports. The Swiss Society of Molecular Pathology recognizes the importance of including clinical actionability in the report and calls on the European community of molecular pathologists and oncologists to reach a consensus on this issue.

Genetic insight into the relationship between inflammatory bowel disease and Clostridioides difficile infection.

Patients with inflammatory bowel disease (IBD) are at increased risk of Clostridioides difficile infection (CDI). Herein, we aimed to determine if genetic risk contributes to this observed association. We carried out a genome-wide association study (GWAS) analysis in the Michigan Genomics Initiative and the United Kingdom Biobank for CDI based on ICD codes and meta-analyzed these results with similar publicly accessible GWAS summary statistics from Finngen. Conditional and joint multi-SNP analyses were used to identify independent associations. Imputation of the human leukocyte antigen (HLA) region with fine mapping was used to try to identify causal HLA allele groups. Two-sample bidirectional Mendelian randomization (MR) was implemented to determine causal relationships between IBD and CDI. A total of 3,500 cases of CDI and 674,323 controls were meta-analyzed, revealing one genome-wide significant variant for CDI, HLA-C;LINC02571-rs3134745-C (P = 4.27E-08), which annotated to the major histocompatibility complex on chromosome 6. While fine mapping did not identify a statistically significant HLA allele group, there was a suggestive signal for HLA-B*35:01 (P = 4.74e-04). Using two-sample MR, genetically predicted IBD was associated with increased risk of CDI (MR Egger [odds ratio {OR} 1.16, 95% confidence interval {CI} 1.02-1.31]). Subset analysis revealed that risk was primarily driven by genetically predicted ulcerative colitis (MR Egger [OR 1.22, 95% CI 1.05-1.41]). These results highlight the importance of the host immune response in CDI pathogenesis, help explain the observed relationship between IBD and CDI, and open new avenues for targeted treatment of CDI in IBD.IMPORTANCEData from this paper (i) provide reproducible evidence that susceptibility CDI is genetically mediated, (ii) highlight genetic risk as a mechanism for the increased risk of CDI in patients with inflammatory bowel disease, and (iii) point toward anti-interleukin-23 therapy as a common therapeutic strategy.

Postnatal outcomes of fetal variants of unknown significance in prenatal CMA: A single-center study.

Chromosome microarray analysis(CMA) can identify clinically significant microdeletions and microduplications, providing valuable insights into the genetic basis of various disorders. Our study was to evaluate clinical management and prognosis of fetuses with prenatal variants of unknown significance (VOUS) and determine diagnostic approaches for subsequent pregnancies. This study included 2,953 fetuses undergoing chromosome microarray analysis (CMA) at the Prenatal Diagnostic Center of Changzhou Maternal and Child Health Care Hospital from January 2018 to December 2022, identifying 162 cases with VOUS. Parent-of-origin testing determined the origin of copy number variations (CNVs). Prenatal genetic counseling was provided, and outcomes were followed for 3-36 months post-birth. All 162 VOUS cases received prenatal genetic counseling. Among these, 123 continued the pregnancy; 22 chose termination, and 17 were lost to follow-up. Of the continuations, 116 delivered at term, and 7 preterm. Post-birth follow-up showed 5/123 live-born fetuses developed relevant clinical phenotypes. Parent-of-origin testing in 21 cases identified 18 hereditary and 3 de novo variants. Additionally, five subsequent pregnancies were monitored, with two undergoing amniocentesis and three receiving low-risk non-invasive prenatal testing (NIPT), all with positive outcomes. VOUS, occurring in approximately 5% of cases, require comprehensive prenatal genetic counseling and show generally favorable outcomes. Despite low association with adverse clinical phenotypes, the importance of postnatal follow-up and regular report updates is emphasized to detect potential clinical associations early.

Family Lore, a Variant of Uncertain Significance, andCADASIL.

An infant presents in extremis. After the medical team stabilizes him, the race is on to figure out why he got so sick in the first place. The consulting genetics team thinks that it is unlikely his problems are due to a genetic cause, but his extreme, confounding presentation is enough to justify trio exome sequencing. When the results reveal an unexpected, paternally inherited variant of uncertain significance (VUS) in NOTCH3, fresh questions arise. The infant's presenting symptoms and descriptive diagnoses, including hematemesis, epistaxis, and gastric ulcers, certainly do not fit the mold of CADASIL. However, closer inspection of his family history yields tantalizing clues: a father and paternal grandfather with seizures, and apaternal grandfather with unexplained mood disturbances in middle age. Combining details gleaned from the family history and medical literature, the clinical genetics and laboratory genetics team collaborated, reclassified the VUS as likely pathogenic, and offered a new unifying diagnosis to explain much of the family's lore.

Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.

Deep learning models for predicting variant pathogenicity have not been thoroughly evaluated on real-world clinical phenotypes. Here, we apply state-of-the-art pathogenicity prediction models to hereditary breast cancer gene variants in UK Biobank participants. Model predictions for missense variants in BRCA1, BRCA2 and PALB2, but not ATM and CHEK2, were associated with breast cancer risk. However, deep learning models had limited clinical utility when specifically applied to variants of uncertain significance.

Genomic Exploration of Essential Hypertension in African-Brazilian Quilombo Populations: A Comprehensive Approach with Pedigree Analysis and Family-Based Association Studies.

Essential Hypertension (EH) is a global health issue. Despite extensive research, much of EH heritability remains unexplained. We investigated the genetic basis of EH in African-derived individuals from partially isolated quilombo populations in Vale do Ribeira (SP-Brazil). Samples from 431 individuals (167 affected, 261 unaffected, 3 unknown) were genotyped using a 650k SNP array. Estimated global ancestry proportions were 47% African, 36% European, and 16% Native American. We constructed six pedigrees using additional data from 673 individuals and created three non-overlapping SNP subpanels. We phased haplotypes and performed local ancestry analysis to account for admixture. Genome-wide linkage analysis (GWLA) and fine-mapping via family-based association studies (FBAS) were conducted, prioritizing EH-associated genes through systematic approach involving databases like PubMed, ClinVar, and GWAS Catalog. Linkage analysis identified 22 regions of interest (ROIs) with LOD scores ranging 1.45-3.03, encompassing 2363 genes. Fine-mapping (FBAS) identified 60 EH-related candidate genes and 117 suggestive/significant variants. Among these, 14 genes, including PHGDH , S100A10 , MFN2 , and RYR2 , were strongly related to hypertension harboring 29 suggestive/significant SNPs. Through a complementary approach - combining admixture-adjusted GWLA based on Markov chain Monte Carlo methods, FBAS on known and imputed data, and gene prioritizing - new loci, variants, and candidate genes were identified. These findings provide targets for future research, replication in other populations, facilitate personalized treatments, and improve public health towards African-derived underrepresented populations. Limitations include restricted SNP coverage, self-reported pedigree data, and lack of available EH genomic studies on admixed populations for independent validation, despite the performed genetic correlation analyses using summary statistics.

Identification of a novel FGF3 variant and a new phenotype in three LAMM syndrome families

Over 700 syndromes associated with hearing loss (HL) have been identified. Labyrinthine aplasia, microtia, and microdontia (LAMM syndrome, OMIM: 610706) is a rare HL syndrome characterized by congenital sensorineural HL, labyrinthine aplasia, type I microtia and microdontia, which is caused by biallelic variants in the FGF3 gene. Using Whole-exome sequencing (WES), we identified a novel missense FGF3 variant (c.137G > C, p. Arg46Pro (NM_005247.4) in three unrelated Uyghur ethnic families. This variant is classified as a variant of uncertain significance according to ACMG guidelines, with the applied criteria of PM3, PM2_Supporting, PP3 and PP4. Patients from the three families revealed variable clinical features. We found a novel phenotype, sparse hair, in one of the proband. Our findings expanded the variant and phenotype spectrum of LAMM syndrome and provided new insights to the diagnose and pathogenesis investigation of the disease.

Behavioral screening reveals a conserved residue in Y-Box RNA-binding protein required for associative learning and memory in C. elegans.

RNA-binding proteins (RBPs) regulate translation and plasticity which are required for memory. RBP dysfunction has been linked to a range of neurological disorders where cognitive impairments are a key symptom. However, of the 2,000 RBPs in the human genome, many are uncharacterized with regards to neurological phenotypes. To address this, we used the model organism C. elegans to assess the role of 20 conserved RBPs in memory. We identified eight previously uncharacterized memory regulators, three of which are in the C. elegans Y-Box (CEY) RBP family. Of these, we determined that cey-1 is the closest ortholog to the mammalian Y-Box (YBX) RBPs. We found that CEY-1 is both necessary in the nervous system for memory ability and sufficient to promote memory. Leveraging human datasets, we found both copy number variation losses and single nucleotide variants in YBX1 and YBX3 in individuals with neurological symptoms. We identified one predicted deleterious YBX3 variant of unknown significance, p.Asn127Tyr, in two individuals with neurological symptoms. Introducing this variant into endogenous cey-1 locus caused memory deficits in the worm. We further generated two humanized worm lines expressing human YBX3 or YBX1 at the cey-1 locus to test evolutionary conservation of YBXs in memory and the potential functional significance of the p.Asn127Tyr variant. Both YBX1/3 can functionally replace cey-1, and introduction of p.Asn127Tyr into the humanized YBX3 locus caused memory deficits. Our study highlights the worm as a model to reveal memory regulators and identifies YBX dysfunction as a potential new source of rare neurological disease.

Safety Aspects of Sodium-Ion Batteries: Prospective Analysis from First Generation Towards More Advanced Systems

After an introductory reminder of safety concerns pertaining to early rechargeable battery technologies, this review discusses current understandings and challenges of advanced sodium-ion batteries. Sodium-ion technology is now being marketed by industrial promoters who are advocating its workable capacity, as well as its use of readily accessible and cheaper key cell components. Often claimed to be safer than lithium-ion cells, currently only limited scientifically sound safety assessments of sodium-ion cells have been performed. However, the predicted sodium-ion development roadmap reveals that significant variants of sodium-ion batteries have entered or will potentially enter the market soon. With recent experiences of lithium-ion battery failures, sodium-ion battery safety management will constitute a key aspect of successful market penetration. As such, this review discusses the safety issues of sodium-ion batteries, presenting a twofold innovative perspective: (i) in terms of comparison with the parent lithium-ion technology making use of the same working principle and similar flammable non-aqueous solvent basis, and (ii) anticipating the arrival of innovative sub-chemistries at least partially inspired from successive generations of lithium-ion cells. The authors hope that the analysis provided will assist concerned stakeholders in the quest for safe marketing of sodium-ion batteries.

Recent Progress on NHC-Catalyzed 1,6-Conjugate Addition Reactions.

As a significant variant of the Michael reaction, the 1,6-addition reaction has undergone considerable development over the past decade. This effective strategy enables the synthesis of a variety of novel and potentially bioactive functional molecules. In this review, we summarize the recent progress in NHC-catalyzed 1,6-addition reactions, highlighting their efficiency in the rapid synthesis of complex functional molecules. We also provide our perspectives on the future development of this dynamic and highly active research area.

Expanding the genetic spectrum of hereditary motor sensory neuropathies in Pakistan

BackgroundHereditary motor and sensory neuropathy (HMSN) refers to a group of inherited progressive peripheral neuropathies characterized by reduced nerve conduction velocity with chronic segmental demyelination and/or axonal degeneration. HMSN is highly clinically and genetically heterogeneous with multiple inheritance patterns and phenotypic overlap with other inherited neuropathies and neurodegenerative diseases. Due to this high complexity and genetic heterogeneity, this study aimed to elucidate the genetic causes of HMSN in Pakistani families using Whole Exome Sequencing (WES) for variant identification and Sanger sequencing for validation and segregation analysis, facilitating accurate clinical diagnosis.MethodsFamilies from Khyber Pakhtunkhwa with at least two members showing HMSN symptoms, who had not previously undergone genetic analysis, were included. Referrals for genetic investigations were based on clinical features suggestive of HMSN by local neurologists. WES was performed on affected individuals from each family, with Sanger sequencing used to validate and analyze the segregation of identified variants among family members. Clinical data including age of onset were assessed for variability among affected individuals, and the success rate of genetic diagnosis was compared with existing literature using proportional differences and Cohen’s h.ResultsWES identified homozygous pathogenic variants in GDAP1 (c.310 + 4 A > G, p.?), SETX (c.5948_5949del, p.(Asn1984Profs*30), IGHMBP2 (c.1591 C > A, p.(Pro531Thr) and NARS1 (c.1633 C > T, p.(Arg545Cys) as causative for HMSN in five out of nine families, consistent with an autosomal recessive inheritance pattern. Additionally, in families with HMSN, a SETX variant was found to cause cerebellar ataxia, while a NARS1 variant was linked to intellectual disability. Based on American College of Medical Genetics and Genomics criteria, the GDAP1 variant is classified as a variant of uncertain significance, while variants in SETX and IGHMBP2 are classified as pathogenic, and the NARS1 variant is classified as likely pathogenic. The age of onset ranged from 1 to 15 years (Mean = 5.13, SD = 3.61), and a genetic diagnosis was achieved in 55.56% of families with HMSN, with small effect sizes compared to previous studies.ConclusionsThis study expands the molecular genetic spectrum of HMSN and HMSN plus type neuropathies in Pakistan and facilitates accurate diagnosis, genetic counseling, and clinical management for affected families.

Next-generation technology in epilepsy diagnostic: First Moroccan pediatric case series and literature review.

Background: Pediatric epilepsy is the most prevalent neurological disorder among children, characterized by significant heterogeneity in terms of etiology, clinical presentation, and prognosis. In developed countries, genetic testing, particularly next-generation sequencing (NGS), has become standard practice for diagnosis. Methods/Observation: This paper presents the first pediatric Moroccan case series with epilepsy. The diagnosis was established using whole-exome sequencing which identified five variants. Moreover, we evaluated the effectiveness of different NGS technologies in epilepsy diagnosis by conducting a PubMed search with targeted keywords. Results: Whole-exome sequencing and whole-genome sequencing are more effective for epilepsy diagnosis than multi-gene panels. However, they also present significant challenges including false negatives and variants of unknown significance which complicate genetic interpretation and diagnostic process. Conclusion: Despite these limitations, the rapid accumulation of genetic data and advancements in bioinformatic tools are expected to address these issues, improving diagnostic accuracy. Keywords: Epilepsy, Next-generation sequencing, Neuropediatry, Genetics, Morocco.