9 research outputs found

    HS3ST2 expression is critical for the abnormal phosphorylation of tau in Alzheimer's disease-related tau pathology

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    Heparan sulphate (glucosamine) 3-O-sulphotransferase 2 (HS3ST2, also known as 3OST2) is an enzyme predominantly expressed in neurons wherein it generates rare 3-O-sulphated domains of unknown functions in heparan sulphates. in Alzheimer's disease, heparan sulphates accumulate at the intracellular level in disease neurons where they co-localize with the neurofibrillary pathology, while they persist at the neuronal cell membrane in normal brain. However, it is unknown whether HS3ST2 and its 3-O-sulphated heparan sulphate products are involved in the mechanisms leading to the abnormal phosphorylation of tau in Alzheimer's disease and related tauopathies. Here, we first measured the transcript levels of all human heparan sulphate sulphotransferases in hippocampus of Alzheimer's disease (n = 8; 76.8 +/- 3.5 years old) and found increased expression of HS3ST2 (P < 0.001) compared with control brain (n = 8; 67.8 +/- 2.9 years old). Then, to investigate whether the membrane-associated 3-O-sulphated heparan sulphates translocate to the intracellular level under pathological conditions, we used two cell models of tauopathy in neuro-differentiated SH-SY5Y cells: a tau mutation-dependent model in cells expressing human tau carrying the P-301L mutation hTau P-301L, and a tau mutation-independent model in where tau hyperphosphorylation is induced by oxidative stress. Confocal microscopy, fluorescence resonance energy transfer, and western blot analyses showed that 3-O-sulphated heparan sulphates can be internalized into cells where they interact with tau, promoting its abnormal phosphorylation, but not that of p38 or NF-kappa B p65. We showed, in vitro, that the 3-O-sulphated heparan sulphates bind to tau, but not to GSK3B, protein kinase A or protein phosphatase 2, inducing its abnormal phosphorylation. Finally, we demonstrated in a zebrafish model of tauopathy expressing the hTau P-301L, that inhibiting hs3st2 (also known as 3ost2) expression results in a strong inhibition of the abnormally phosphorylated tau epitopes in brain and in spinal cord, leading to a complete recovery of motor neuronal axons length (n = 25; P < 0.005) and of the animal motor response to touching stimuli (n = 150; P < 0.005). Our findings indicate that HS3ST2 centrally participates to the molecular mechanisms leading the abnormal phosphorylation of tau. By interacting with tau at the intracellular level, the 3-O-sulphated heparan sulphates produced by HS3ST2 might act as molecular chaperones allowing the abnormal phosphorylation of tau. We propose HS3ST2 as a novel therapeutic target for Alzheimer's disease.Association France Alzheimer & Maladies ApparenteesSATT Idf InnovCONACyT, MexicoFrench Ministry of Higher Education and ResearchInstitute de Recherche ServierUniv Paris Est, CNRS, Lab Cell Growth Tissue Repair & Regenerat CRRET, UPEC,EA 4397,ERL 9215, F-94000 Creteil, FranceUPMC, Univ Paris 04, Inst Cerveau & Moelle Epiniere, CNRS,UMR 7225,INSERM,U1127,UM75, Paris, FranceHop Robert Debre, INSERM, UMR 1141, F-75019 Paris, FranceSorbonne Paris Cite, Univ Paris Diderot, Paris, FranceUniversidade Federal de São Paulo, Aging & Neurodegenerat Dis Brain Bank Invest Lab, BR-04023062 São Paulo, BrazilGrp Hosp Pitie Salpetriere, Biochim Malad Neurometab, F-75013 Paris, FranceRadboud Univ Nijmegen, Med Ctr, Radboud Inst Mol Life Sci, NL-6525 ED Nijmegen, NetherlandsUniv Strasbourg, INSERM, U1119, FMTS, F-67000 Strasbourg, FranceUniversidade Federal de São Paulo, Aging & Neurodegenerat Dis Brain Bank Invest Lab, BR-04023062 São Paulo, BrazilCONACyT, Mexico: 308978Web of Scienc

    Glycosaminoglycans, protein aggregation and neurodegeneration.

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    International audienceA number of neurodegenerative diseases, as Parkinson, prion, and Alzheimer's diseases, has been directly associated with altered conformations of certain peptides or proteins that assemble to form highly organized aggregates, also called amyloid fibers. Glycosaminoglycans have shown to play important roles on fibrils formation, stability and resistance to proteolysis. This manuscript reviews from basic concepts on the biochemistry and biology of glycosaminoglycans to their implications in neurodegeneration with particular emphasis in pathologic protein aggregation. Prion protein, Aβ42, Tau, and α-synuclein, are all proteins that can interact with glycosaminoglycans. We document here how these interactions may modify protein conformation, aggregation kinetics, and fibers stabilization with important consequences in disease. We also raise questions which answers may make advance the understanding of the implication of GAGs in neurodegeneration

    Molecular Properties and Pharmacokinetic Behavior of Cetirizine, a Zwitterionic H 1 -Receptor Antagonist

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    The value of open-source clinical science in pandemic response: lessons from ISARIC

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    The value of open-source clinical science in pandemic response: lessons from ISARIC

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    Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

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    Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60&nbsp;years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death.&nbsp;The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

    ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

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    The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use
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