Spinocerebellar ataxia type 27B (SCA27B) in India: insights from a large cohort study suggest ancient origin.

BACKGROUND: The ethnic diversity of India provides a unique opportunity to study the history of the origin of mutations of genetic disorders. Spinocerebellar ataxia type 27B (SCA27B), a recently identified dominantly inherited cerebellar disorder is caused by GAA-repeat expansions in intron 1 of Fibroblast Growth Factor 14 (FGF14). Predominantly reported in the European population, we aimed to screen this mutation and study the founder haplotype of SCA27B in Indian ataxia patients. METHODS: We have undertaken screening of GAA repeats in a large Indian cohort of ~ 1400 uncharacterised ataxia patients and kindreds and long-read sequencing-based GAA repeat length assessment. High throughput genotyping-based haplotype analysis was also performed. We utilized ~ 1000 Indian genomes to study the GAA at-risk expansion alleles. FINDINGS: We report a high frequency of 1.83% (n = 23) of SCA27B in the uncharacterized Indian ataxia cohort. We observed several biallelic GAA expansion mutations (n = 5) with younger disease onset. We observed a risk haplotype (AATCCGTGG) flanking the FGF14-GAA locus over a 74 kb region in linkage disequilibrium. We further studied the frequency of this risk haplotype across diverse geographical population groups. The highest prevalence of the risk haplotype was observed in the European population (29.9%) followed by Indians (21.5%). The observed risk haplotype has existed through ~ 1100 generations (~ 22,000 years), assuming a correlated genealogy. INTERPRETATION: This study provides valuable insights into SCA27B and its Upper Paleolithic origin in the Indian subcontinent. The high occurrence of biallelic expansion is probably relevant to the endogamous nature of the Indian population.

Gray Matter Atrophy in a 6-OHDA-induced Model of Parkinson's Disease.

INTRODUCTION: Magnetic resonance imaging (MRI) based brain morphometric changes in unilateral 6-hydroxydopamine (6-OHDA) induced Parkinson's disease (PD) model can be elucidated using voxel-based morphometry (VBM), study of alterations in gray matter volume and Machine Learning (ML) based analyses. METHODS: We investigated gray matter atrophy in 6-OHDA induced PD model as compared to sham control using statistical and ML based analysis. VBM and atlas-based volumetric analysis was carried out at regional level. Support vector machine (SVM)-based algorithms wherein features (volume) extracted from (a) each of the 150 brain regions (b) statistically significant features (only) and (c) volumes of each cluster identified after application of VBM (VBM_Vol) were used for training the decision model. The lesion of the 6-OHDA model was validated by estimating the net contralateral rotational behaviour by the injection of apomorphine drug and motor impairment was assessed by rotarod and open field test. RESULTS AND DISCUSSION: In PD, gray matter volume (GMV) atrophy was noted in bilateral cortical and subcortical brain regions, especially in the internal capsule, substantia nigra, midbrain, primary motor cortex and basal ganglia-thalamocortical circuits in comparison with sham control. Behavioural results revealed an impairment in motor performance. SVM analysis showed 100% classification accuracy, sensitivity and specificity at both 3 and 7 weeks using VBM_Vol. CONCLUSION: Unilateral 6-OHDA induced GMV changes in both hemispheres at 7th week may be associated with progression of the disease in the PD model. SVM based approaches provide an increased classification accuracy to elucidate GMV atrophy.

Correlation Between Optical Coherence Tomography Angiography Findings at 3 to 6 Weeks and Functional Outcome at 3 Months Following Acute Ischaemic Stroke Due to Extracranial Carotid Artery Atherosclerotic Disease.

We wanted to evaluate if optical coherence tomography angiography OCTA findings could predict the functional outcome in extracranial carotid artery atherosclerotic disease (ECAD) associated stroke. This exploratory study was performed on adults with acute ischaemic stroke due to ECAD at 3-6 weeks following stroke onset with risk factor matched controls without carotid artery stenosis. Twenty-three stroke patients (cases) and 23 controls were enrolled. There was significant difference between cases and controls in deep vessel density at the macula (p = .0007) and in radial peripapillary capillary perfusion density (RPCPD) at the optic nerve head (ONH) (p = .0007). Statistically significant difference was noted in the total superficial vessel density (SVD) at the macula (SVD within 1 standard deviation [SD] versus SVD beyond 1 SD of control data) in the ipsilateral eye and functional outcome at 3 months (poor versus very good outcome, modified Rankin scale [mRS] 0-1 versus mRS 2-6, respectively; p = .0361). There was statistically insignificant correlation between the RPCPD at the ONH and the National Institutes of Health Stroke Scale score at admission, mRS at discharge, and mRS at 3 months following stroke onset (r = .33, r = .35, r = .39; p = .11, p = .09, p = .06, respectively). The findings of this exploratory study suggested that OCTA findings may predict 3 month outcomes in cases of ECAD-related stroke and could be useful in decision making in future intervention studies as to whether intervene or not in patients having critical or non-critical ECAD for preventing stroke.

Expanding the phenotypic and genotypic spectrum of DYT-TUBB4A with seven patients from India.

BACKGROUND: Variants in the TUBB4A gene are associated with dystonia (DYT-TUBB4A), Hypomyelination with Atrophy of the Basal Ganglia and Cerebellum (H-ABC) and spastic paraplegia. Phenotypes intermediate to these three broad phenotypes are also observed. These are rare disorders, and data from diverse populations remains limited. We report seven Indian cases with dystonia phenotype related to TUBB4A mutation. CASES: Among these seven patients, age at onset ranged from 5 to 48 years. Five patients had cranio-cervical onset of dystonia. One patient had prominent parkinsonism with dystonia. Patients responded well to botulinum toxin injected for laryngeal, cervical and jaw dystonia. The patient with parkinsonism responded well to levodopa, albeit with development of dyskinesias. Apart from the common p.Arg2Gly variant in three patients with DYT-TUBB4A, other variants included p.Arg262Pro, p.Arg39Cys and p.Asp245Asn. CONCLUSIONS: We report the first collection of cases with TUBB4A mutation from India. We expand the phenotype to include levodopa-responsive parkinsonism. Indian patients, consistent with global literature, harbor prominent adductor dysphonia, cervical and jaw dystonia, which responds well to botulinum treatment.

Integration of graph network with kernel SVM and logistic regression for identification of biomarkers in SCA12 and its diagnosis.

Spinocerebellar ataxia type 12 is a hereditary and neurodegenerative illness commonly found in India. However, there is no established noninvasive automatic diagnostic system for its diagnosis and identification of imaging biomarkers. This work proposes a novel four-phase machine learning-based diagnostic framework to find spinocerebellar ataxia type 12 disease-specific atrophic-brain regions and distinguish spinocerebellar ataxia type 12 from healthy using a real structural magnetic resonance imaging dataset. Firstly, each brain region is represented in terms of statistics of coefficients obtained using 3D-discrete wavelet transform. Secondly, a set of relevant regions are selected using a graph network-based method. Thirdly, a kernel support vector machine is used to capture nonlinear relationships among the voxels of a brain region. Finally, the linear relationship among the brain regions is captured to build a decision model to distinguish spinocerebellar ataxia type 12 from healthy by using the regularized logistic regression method. A classification accuracy of 95% and a harmonic mean of precision and recall, i.e. F1-score of 94.92%, is achieved. The proposed framework provides relevant regions responsible for the atrophy. The importance of each region is captured using Shapley Additive exPlanations values. We also performed a statistical analysis to find volumetric changes in spinocerebellar ataxia type 12 group compared to healthy. The promising result of the proposed framework shows that clinicians can use it for early and timely diagnosis of spinocerebellar ataxia type 12.

A Novel Kinematic Gait Parameter-Based Vibrotactile Cue for Freezing of Gait Mitigation among Parkinson's Patients: A Pilot Study.

Auditory and visual cues have been efficacious in laboratory-based freezing of gait (FoG) mitigation in Parkinson's disease (PD). However, real-life applications of these cues are restricted due to inconvenience to the users. Closed-loop vibrotactile cues based on temporal gait events have overcome the shortcomings of auditory and visual cueing. However, kinematic gait parameter-driven vibrotactile cueing has not been explored yet. Kinematic gait parameter-driven cueing is more effective than temporal cueing, according to FoG pathophysiology studies. Therefore, we developed and pilot-tested a novel cueing scheme in which the foot-to-ground angle at heel strike (FGA_HS) is estimated using indigenous instrumented shoes to drive vibrotactile cueing. Ten PD freezers underwent a 6-meter timed walk test in the off-medication state with and without the cue and after medication without the cue. The proposed system potentially mitigated FoG, quantified by a reduction in the ratio of time spent freezing to the total walking time and the number of FoGs. The FoG mitigation potential of the cue was further supported by increased anteroposterior center of pressure progression and FGA_HS. With a future comprehensive validation in a larger number of participants, the novel cue could likely be used in practice and commercialized.

Generation of an Induced pluripotent stem cell (iPSC) line (IGIBi011-A) from a Spinocerebellar ataxia type 12 gait dominant patient.

The PPP2R2B gene, expressed highly in the brain, harbours trinucleotide CAG repeats in the 5'UTR region, in the range of 7-42 repeats. Individuals carrying CAG repeats greater than 43 have been associated to manifest a neurodegenerative disease condition termed as Spinocerebellar Ataxia type 12 (SCA12). An iPSC line from an adult male diagnosed with SCA12 presenting symptoms of gait (Gait Dominance) was generated. It showed pluripotency and trilineage markers without any chromosomal abnormality. This line can be utilized as an essential resource in enhancing our understanding of the molecular pathogenic mechanisms underlying SCA12 by facilitating generation of various neuronal cell types.

Generation of two human induced pluripotent stem cell lines, IGIBi012-A and IGIBi013-A from Friedreich's ataxia (FRDA) patients with homozygous GAA repeat expansion in FXN gene.

Friedreich's ataxia is a neurodegenerative disorder caused by the hyper expansion of (GAA-TTC)n triplet repeats in the first intron of the FXN gene. Here, we generated iPSC lines from two individuals with FRDA, both of whom have homozygous GAA repeat expansion in the first intron of FXN gene. Both iPSC lines demonstrated characteristics of pluripotency, including expression of pluripotency markers, stable karyotypes and ability to develop into all three germ layers, and presence of GAA repeat expansion with reduced FXN mRNA expression. These iPSC lines will serve as invaluable tools for investigating the pathophysiology and phenotypes of FRDA.

Clinical factors and vascular endothelial growth factor as determinants of disease progression in Indian patients with amyotrophic lateral sclerosis.

OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder. Prognostication remains sub-optimally defined. We aimed to assess clinical determinants of disease progression rates in Indian patients with ALS and to assess the role of vascular endothelial growth factor (VEGF) in disease progression. METHODS: In this cross-sectional study, consecutive patients with clinically definite/probable ALS according to the revised El Escorial criteria and controls were included. Patients were classified into fast or slow progressors based on disease progression rate (DPR). Serum and CSF VEGF level was assessed for patients and controls. RESULTS: Of 142 patients recruited, 93 (65.5%) were male. Mean age at enrollment was 49.37 ± 12.65 years. Mean duration of symptoms was 20.53 ± 20.88 months. Mean DPR was 1.14 ± 0.94. Based on DPR, 81 (57%) patients were slow progressors and 61 (43%) were fast progressors. Univariate analysis demonstrated a statistically significant association of DPR with age at onset, symptom duration, time to spread, wasting of small muscles of the hand, frontal release signs, and neurophysiologic bulbar abnormalities. On multivariate analysis, age at onset and symptom duration had a significant association with disease progression. The CSF VEGF levels of ALS patients (46.18 ± 27.8) were significantly elevated compared to controls (25.95 ± 25.64 pg/ml) (p = 0.001), but not serum VEGF. CONCLUSION: Age at symptom onset and duration of disease had a significant impact on disease progression in Indian patients with ALS. CSF VEGF levels were significantly elevated in ALS compared to controls, indicating the role of CSF VEGF as a potential biomarker.

Early neurological deterioration in acute ischemic stroke.

BACKGROUND AND AIMS: Early neurological deterioration (END) in acute ischemic stroke (AIS), patients is defined as clinical worsening or recurrence during first 72 h after onset of AIS. We have conducted this study to determine the association between END and functional outcome at 3 months of onset of AIS along with associated risk factors of END in AIS cases. METHODOLOGY: This study was conducted after approval of Institute Ethics Committee. Two hundred three consecutive patients were admitted from September 2020 to January 2022 at a tertiary care hospital. One hundred ninety patients were included in the study; patients were divided into two groups: (1) early neurological deterioration (END) and (2) non-early neurological deterioration (non-END). Patients were followed-up either telephonically or in person at approximately 3 months using modified Rankin Scale 0-6. All the clinically significant prognostic markers and p < 0.10 variables were considered significant in univariate analysis; P < 0.05 were considered statistically significant for the multivariate analysis. RESULTS: Out of 190 cases included in the cohort 34/190 (17.8%) cases showed END with mean age (56.56 (± 16.6)) and males (20/34 (58.8%)). END was independently associated with high blood glucose at admission (OR = 1.015; P = 0.002; 95%CI = 1.005-1.024) and low serum albumin (OR = 0.208; P = 0.002; 95%CI = 0.077-0.562). Patients with END showed poor functional outcome (mRS > 2) at end of 3 months (32 (94.1%); P < 0.001) and death was also statistically significant (22 (64.7%); P < 0.001) as compared to AIS cases having non-END. CONCLUSION: Our study showed END may be associated with poor functional outcome in AIS patients. Higher blood glucose at admission and low serum albumin may be statistically significant causing END. Future prospective cohort with larger sample size may confirm the findings.

Association of obstructive sleep apnea and sleep quality with cognitive function: a study of middle-aged and elderly persons in India.

INTRODUCTION: Symptoms of obstructive sleep apnea (OSA) and poor sleep quality affect around one in ten people in India. We aimed to determine if OSA symptoms and poor sleep quality are independently associated with cognition in middle-aged and elderly urban Indian populations. METHODS: We studied the cross-sectional association between OSA symptoms (by Berlin Questionnaire), poor sleep quality (by Pittsburgh Sleep Quality Index), and cognitive function in adults ≥ 50 years. Using a standard neuropsychological battery for cognitive function, a G-factor was derived as the first rotated principal component assessing domains of information processing, memory, and executive function. The associations of exposures with cognitive measures were modeled using linear regression, adjusted for metabolic risk factors, lifestyle factors, and psychosocial problems, followed by stratified analysis by decadal age group. RESULTS: A total of 7505 adults were enrolled. Excluding those with MMSE < 26 (n 710), of 6795 individuals (49.2% women), mean (SD) age 64.2 (9.0) years, 38.3% had high risk of OSA symptoms, and 15.9% had poor sleep quality. OSA symptoms were negatively associated with cognitive domains of information processing (adjusted beta coefficient of z-score - 0.02, p-value 0.006), memory (- 0.03, 0.014), and G-factor (- 0.11, 0.014) in full-model. Stratified analysis by age group showed significant adverse effects of OSA symptoms on cognition for middle-aged people (50-60 years) (- 0.26, 0.001), but not in later age groups. Poor sleep quality was also associated with lower cognitive scores for G-factor (- 0.48, < 0.001), memory (- 0.08, 0.005), and executive domains (- 0.12, < 0.001), but not with information domain. CONCLUSION: The findings suggest that both symptoms of OSA and poor sleep quality have a direct adverse impact on cognition in an Indian setting. A modest effect of age on the relationship of OSA and cognition was also observed.