Tackling clinical heterogeneity across the Amyotrophic Lateral Sclerosis-Frontotemporal Dementia spectrum using a transdiagnostic approach

The disease syndromes of amyotrophic lateral sclerosis and frontotemporal dementia display considerable clinical, genetic and pathological overlap, yet mounting evidence indicates substantial differences in progression and survival. To date, there has been limited examination of how profiles of brain atrophy might differ between clinical phenotypes. Here, we address this longstanding gap in the literature by assessing cortical and subcortical grey and white matter volumes on structural MRI in a large cohort of 209 participants. Cognitive and behavioural changes were assessed using the Addenbrooke’s Cognitive Examination and the Cambridge Behavioural Inventory. Relative to 58 controls, behavioural variant frontotemporal dementia (n = 58) and amyotrophic lateral sclerosis-frontotemporal dementia (n = 41) patients displayed extensive atrophy of frontoinsular, cingulate, temporal and motor cortices, with marked subcortical atrophy targeting the hippocampus, amygdala, thalamus, and striatum, with atrophy further extended to the brainstem, pons and cerebellum in the latter group. At the other end of the spectrum, pure-amyotrophic lateral sclerosis patients (n = 52) displayed considerable frontoparietal atrophy, including right insular and motor cortices and pons and brainstem regions. Subcortical regions included the bilateral pallidum and putamen, but to a lesser degree than in the amyotrophic lateral sclerosis-frontotemporal dementia and behavioural variant frontotemporal dementia groups. Across the spectrum the most affected region in all three groups was the insula, and specifically the anterior part (76-90% lower than controls). Direct comparison of the patient groups revealed disproportionate temporal atrophy and widespread subcortical involvement in amyotrophic lateral sclerosis-frontotemporal dementia relative to pure-amyotrophic lateral sclerosis. In contrast, pure-amyotrophic lateral sclerosis displayed significantly greater parietal atrophy. Both behavioural variant frontotemporal dementia and amyotrophic lateral sclerosis-frontotemporal dementia were characterised by volume decrease in the frontal lobes relative to pure-amyotrophic lateral sclerosis. The motor cortex and insula emerged as differentiating structures between clinical syndromes, with bilateral motor cortex atrophy more pronounced in amyotrophic lateral sclerosis-frontotemporal dementia compared to pure-amyotrophic lateral sclerosis, and greater left motor cortex and insula atrophy relative to behavioural variant frontotemporal dementia. Taking a transdiagnostic approach, we found significant associations between abnormal behaviour and volume loss in a predominantly frontoinsular network involving the amygdala, striatum and thalamus. Our findings demonstrate the presence of distinct atrophy profiles across the amyotrophic lateral sclerosis-frontotemporal dementia spectrum, with key structures including the motor cortex and insula, Notably, our results point to subcortical involvement in the origin of behavioural disturbances, potentially accounting for the marked phenotypic variability typically observed across the spectrum

Distinct hypothalamic involvement in the amyotrophic lateral sclerosis-frontotemporal dementia spectrum

Background Hypothalamic dysregulation plays an established role in eating abnormalities in behavioural variant frontotemporal dementia (bvFTD) and amyotrophic lateral sclerosis (ALS). Its contribution to cognitive and behavioural impairments, however, remains unexplored. Methods Correlation between hypothalamic subregion atrophy and cognitive and behavioural impairments was examined in a large sample of 211 participants (52 pure ALS, 42 mixed ALS-FTD, 59 bvFTD, and 58 age- and education- matched healthy controls). Results Graded variation in hypothalamic involvement but relative sparing of the inferior tuberal region was evident across all patient groups. Bilateral anterior inferior, anterior superior, and posterior hypothalamic subregions were selectively implicated in memory, fluency and processing speed impairments in addition to apathy and abnormal eating habits, taking into account disease duration, age, sex, total intracranial volume, and acquisition parameters (all p ≤ .001). Conclusions These findings revealed that subdivisions of the hypothalamus are differentially affected in the ALS-FTD spectrum and contribute to canonical cognitive and behavioural disturbances beyond eating abnormalities. The anterior superior and superior tuberal subregions containing the paraventricular nucleus (housing oxytocin-producing neurons) displayed the greatest volume loss in bvFTD and ALS-FTD, and ALS, respectively. Importantly, the inferior tuberal subregion housing the arcuate nucleus (containing different groups of neuroendocrine neurons) was selectively preserved across the ALS-FTD spectrum, supporting pathophysiological findings of discrete neuropeptide expression abnormalities that may underlie the pathogenesis of autonomic and metabolic abnormalities and potentially certain cognitive and behavioural symptom manifestations, representing avenues for more refined symptomatic treatment targets.National Health and Medical Research Council of Australia program (#1037746 and #1132524) and dementia team (#1095127) grants and the Australian Research Council Centre of Excellence in Cognition and its Disorders Memory Program (#CE110001021). Dr E.M. Devenney is supported by a MNDRIA post-doctoral fellowship. Dr S. Tu is supported by a NHMRC post-doctoral fellowship (APP1121859). Dr R.M. Ahmed is supported by a NHMRC post-doctoral fellowship. Prof G.M. Halliday is a NHMRC Leadership Fellow (#1176607). Prof M.C. Kiernan received funding support from NHMRC Partnership Grant (#1153439) and Practitioner Fellowship (#115609). Prof O. Piguet is supported by a NHMRC Leadership Fellowship (GNT2008020). Dr M. Bocchetta is supported by a Fellowship award from the Alzheimer’s Society, UK (AS-JF-19a-004-517). Dr M. Bocchetta’s work was also supported by the UK Dementia Research Institute which receives its funding from DRI ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK. Dr M. Bocchetta acknowledges the support of NVIDIA Corporation with the donation of the Titan V GPU used for part of the analyses in this research. Prof J. D Rohrer is supported by the Miriam Marks Brain Research UK Senior Fellowship and has received funding from an MRC Clinician Scientist Fellowship (MR/M008525/1) and the NIHR Rare Disease Translational Research Collaboration (BRC149/NS/MH)

Tackling clinical heterogeneity across the amyotrophic lateral sclerosis-frontotemporal dementia spectrum using a transdiagnostic approach

Supplementary data: Supplementary data is available online at https://academic.oup.com/braincomms/article/3/4/fcab257/6409187#supplementary-data .Copyright © The Author(s) (2021).. The disease syndromes of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) display considerable clinical, genetic and pathological overlap, yet mounting evidence indicates substantial differences in progression and survival. To date, there has been limited examination of how profiles of brain atrophy might differ between clinical phenotypes. Here, we address this longstanding gap in the literature by assessing cortical and subcortical grey and white matter volumes on structural MRI in a large cohort of 209 participants. Cognitive and behavioural changes were assessed using the Addenbrooke’s Cognitive Examination and the Cambridge Behavioural Inventory. Relative to 58 controls, behavioural variant FTD (n = 58) and ALS–FTD (n = 41) patients displayed extensive atrophy of frontoinsular, cingulate, temporal and motor cortices, with marked subcortical atrophy targeting the hippocampus, amygdala, thalamus and striatum, with atrophy further extended to the brainstem, pons and cerebellum in the latter group. At the other end of the spectrum, pure-ALS patients (n = 52) displayed considerable frontoparietal atrophy, including right insular and motor cortices and pons and brainstem regions. Subcortical regions included the bilateral pallidum and putamen, but to a lesser degree than in the ALS–FTD and behavioural variant FTD groups. Across the spectrum the most affected region in all three groups was the insula, and specifically the anterior part (76–90% lower than controls). Direct comparison of the patient groups revealed disproportionate temporal atrophy and widespread subcortical involvement in ALS–FTD relative to pure-ALS. In contrast, pure-ALS displayed significantly greater parietal atrophy. Both behavioural variant FTD and ALS–FTD were characterized by volume decrease in the frontal lobes relative to pure-ALS. The motor cortex and insula emerged as differentiating structures between clinical syndromes, with bilateral motor cortex atrophy more pronounced in ALS–FTD compared with pure-ALS, and greater left motor cortex and insula atrophy relative to behavioural variant FTD. Taking a transdiagnostic approach, we found significant associations between abnormal behaviour and volume loss in a predominantly frontoinsular network involving the amygdala, striatum and thalamus. Our findings demonstrate the presence of distinct atrophy profiles across the ALS–FTD spectrum, with key structures including the motor cortex and insula. Notably, our results point to subcortical involvement in the origin of behavioural disturbances, potentially accounting for the marked phenotypic variability typically observed across the spectrum.This work was supported in part by funding to Forefront, a collaborative research group dedicated to the study of FTD and motor neurone disease, from the National Health and Medical Research Council of Australia (NHMRC) program grant (GNT1037746 to O.P., M.C.K. and J.R.H.) and the Australian Research Council Centre of Excellence in Cognition and its Disorders Memory Program (#CE110001021 to O.P. and J.R.H.) and other grants/sources (the National Health and Medical Research Council of Australia project grant GNT1003139 to O.P.), and Royal Australasian College of Physicians, MND Research Institute of Australia. We are grateful to the research participants involved with the ForeFront research studies. R.M.A. is a National Health and Medical Research Council of Australia (NHMRC) Early Career Fellow (#1120770). O.P. is a National Health and Medical Research Council of Australia (NHMRC) Senior Research Fellow (GNT1103258). M.B. is supported by a Fellowship award from the Alzheimer’s Society, UK (AS-JF-19a-004–517). M.B.’s work was also supported by the UK Dementia Research Institute (DRI) which receives its funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK. M.I. is supported by an Australian Research Council Future Fellowship (FT160100096). J.D.R. has received funding from an Medical Research Council (MRC) Clinician Scientist fellowship (MR/M008525/1) as well as from the National Institute of Health Research (NIHR) Rare Diseases Translational Research Collaboration (BRC149/NS/MH), the Bluefield Project and the Association for Frontotemporal Degeneration. M.C.K. receives funding from the National Health and Medical Research Council of Australia (NHMRC) Partnership Project (APP1153439) and Practitioner Fellowship (APP1156093) schemes

Thalamic and Cerebellar Regional Involvement across the ALS–FTD Spectrum and the Effect of C9orf72

Data Availability Statement: Data will be available on request from the authors until 2030.Supplementary Materials: The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/brainsci12030336/s1, Table S1: Spearman’s correlations between w-scores and behavioural and cognitive total scores across the clinical and genetic groups. Table S2: Spearman’s correlations between w-scores and behavioural and cognitive subscores across the clinical and genetic groups.Copyright © 2022 by the authors. . Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are part of the same disease spectrum. While thalamic–cerebellar degeneration has been observed in C9orf72 expansion carriers, the exact subregions involved across the clinical phenotypes of the ALS–FTD spectrum remain unclear. Using MRIs from 58 bvFTD, 41 ALS–FTD and 52 ALS patients compared to 57 controls, we aimed to delineate thalamic and cerebellar subregional changes across the ALS–FTD spectrum and to contrast these profiles between cases with and without C9orf72 expansions. Thalamic involvement was evident across all ALS–FTD clinical phenotypes, with the laterodorsal nucleus commonly affected across all groups (values below the 2.5th control percentile). The mediodorsal nucleus was disproportionately affected in bvFTD and ALS–FTD but not in ALS. Cerebellar changes were only observed in bvFTD and ALS–FTD predominantly in the superior–posterior region. Comparison of genetic versus sporadic cases revealed significantly lower volumes exclusively in the pulvinar in C9orf72 expansion carriers compared to non-carriers, irrespective of clinical syndrome. Overall, bvFTD showed significant correlations between thalamic subregions, level of cognitive dysfunction and severity of behavioural symptoms. Notably, strong associations were evident between mediodorsal nucleus atrophy and severity of behavioural changes in C9orf72-bvFTD (r = −0.9, p < 0.0005). Our findings reveal distinct thalamic and cerebellar atrophy profiles across the ALS–FTD spectrum, with differential impacts on behaviour and cognition, and point to a unique contribution of C9orf72 expansions in the clinical profiles of these patients.This work was supported in part by funding to ForeFront, a collaborative research group dedicated to the study of frontotemporal dementia and motor neurone disease, from the National Health and Medical Research Council of Australia (NHMRC) program grant (GNT1037746 to O.P., M.C.K. and J.R.H.) and the Australian Research Council Centre of Excellence in Cognition and Its Disorders Memory Program (#CE110001021 to O.P. and J.R.H.) and other grants/sources (NHMRC project grant GNT1003139 to O.P.), and Royal Australasian College of Physicians, MND Research Institute of Australia. We are grateful to the research participants involved with the ForeFront research studies. R.M.A. is an NHMRC Early Career Fellow (#1120770). O.P. was an NHMRC Senior Research Fellow (GNT1103258). M.B. is supported by a Fellowship award from the Alzheimer’s Society, UK (AS-JF-19a-004-517). M.B.’s work was also supported by the UK Dementia Research Institute, which receives its funding from DRI Ltd., funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK. M.I. is supported by an Australian Research Council Future Fellowship (FT160100096). J.D.R. has received funding from an MRC Clinician Scientist fellowship (MR/M008525/1) as well as from the NIHR Rare Diseases Translational Research Collaboration (BRC149/NS/MH), the Bluefield Project and the Association for Frontotemporal Degeneration. M.C.K. receives funding from the NHMRC Partnership Project (APP1153439) and Practitioner Fellowship (APP1156093) schemes

Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine

Despite rapid technical progress and demonstrable effectiveness for some types of diagnosis and therapy, much remains to be learned about clinical genome and exome sequencing (CGES) and its role within the practice of medicine. The Clinical Sequencing Exploratory Research (CSER) consortium includes 18 extramural research projects, one National Human Genome Research Institute (NHGRI) intramural project, and a coordinating center funded by the NHGRI and National Cancer Institute. The consortium is exploring analytic and clinical validity and utility, as well as the ethical, legal, and social implications of sequencing via multidisciplinary approaches; it has thus far recruited 5,577 participants across a spectrum of symptomatic and healthy children and adults by utilizing both germline and cancer sequencing. The CSER consortium is analyzing data and creating publically available procedures and tools related to participant preferences and consent, variant classification, disclosure and management of primary and secondary findings, health outcomes, and integration with electronic health records. Future research directions will refine measures of clinical utility of CGES in both germline and somatic testing, evaluate the use of CGES for screening in healthy individuals, explore the penetrance of pathogenic variants through extensive phenotyping, reduce discordances in public databases of genes and variants, examine social and ethnic disparities in the provision of genomics services, explore regulatory issues, and estimate the value and downstream costs of sequencing. The CSER consortium has established a shared community of research sites by using diverse approaches to pursue the evidence-based development of best practices in genomic medicine

The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

BACKGROUND: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. METHODS: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. RESULTS: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. CONCLUSIONS: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. IMPACT: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126-35. ©2016 AACR

Education Module: EMS 312

Examination on Education Module: EMS 312, June 2011

A study of adsorption of water vapour on wool under static and dynamic conditions

WOS: 000072099900006Adsorption of water vapour on wool provides not only textile comfort, but also convenience in transportation due to increase in its bulk density. The adsorption and desorption isotherms of water vapour for wool were determined by both volumetric technique using a Coulter Omnisorp 100CX instrument and gravimetric method employing a Cahn 2000 electronic microbalance. Adsorption isotherm fitting to B.E.T. model and hysteresis on desorption was observed. The average effective diffusion coefficient of water in wool was found to be 8.4 x 10(-14) m(2) s(-1) at 25 degrees C from gravimetric data. The effects of packing height and air velocity on the breakthrough curves were also investigated in the wool packed columns. For pseudo first order model, k values changing between 0.33 x 10(-6) - 69 x 10(-6) s(-1) was obtained for 2.2-6.4 cm s(-1) air velocity and 0.05-0.20 m packing height ranges