bioRxiv Science⌕ Search

bioRxiv · 10.1101/2021.01.21.427561

A study of Mutation in ATP7B gene and its correlation with clinical phenotype and radiological features in Wilson Disease patients

Abstract

IntroductionWilson Disease (WD) is an autosomal recessive disease caused by mutations in the ATP7B gene. Clinical manifestations of WD are variable. Identification of prevalent mutations in a given population is necessary to provide mutation-based molecular diagnosis. Previous studies have detected common mutations in this part of the world and our study aimed to correlate genotype with clinical and radiological features. MethodsA descriptive cross-sectional observational study was conducted over a period of two years in a tertiary care hospital and neurology referral unit of Kolkata, India. All WD patients within the study period and meeting the inclusion criteria were included. Demographic data collection, clinical examination and relevant laboratory investigations were done. Magnetic resonance imaging of brain and cognitive assessment by Mini Mental Score Exam (MMSE) were also performed. Blood was collected for genetic analyses. PCR-Sanger sequencing of exons 2,4,6,8,10,14,16,18 of ATP7B gene was done based on previous reports of mutation hotspots of ATP7B gene for WD in Eastern India. Genotype phenotype correlation was attempted using two supervised machine learning methods, viz. logistic regression with an elastic-net penalty and the random forest. ResultsOf 52 WD patients were included in the study, 57.7% were males. The mean age at diagnosis was 13.96 years. Majority (61.8%) of the patients had dystonia on presentation, followed by dysarthria (41.2%), tremor (17.6%) and ataxia (11.8%). The mean MMSE and Frontal Assessment Battery score were 23.74 and 10.63 respectively and both were lower than the normal baseline values.Out of the total cohort of 52 patients,15(28.8%) harbored previously reported common mutations from this part of the country. Of the 15, 12 had the same mutation of c.813C>A(p.cys271Ter).The presence of common mutationswas associated with several distinct clinical phenotypes in the mathematical models but larger sample sizes are needed to corroborate the correlation. ConclusionsWD patients in eastern India have significant genotypic and phenotypic diversity. Further studies with larger samples and screening of remaining exons are warranted.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Chaudhuri, J., Biswas, S., Gangopadhyay, G., Biswas, T., Datta, J., Biswas, A., Datta, A., Mukherjee, A., Hazra, A., Datta, A. K.. 2021-01-21. A study of Mutation in ATP7B gene and its correlation with clinical phenotype and radiological features in Wilson Disease patients. https://doi.org/10.1101/2021.01.21.427561

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗