Hospital-treated infectious diseases and the risk of dementia: a large, multicohort, observational study with a replication cohort DOI Creative Commons
Pyry N. Sipilä, Nelli Heikkilä, Joni V. Lindbohm

et al.

The Lancet Infectious Diseases, Journal Year: 2021, Volume and Issue: 21(11), P. 1557 - 1567

Published: June 21, 2021

BackgroundInfections have been hypothesised to increase the risk of dementia. Existing studies included a narrow range infectious diseases, relied on short follow-up periods, and provided little evidence for whether increased is limited specific dementia subtypes or attributable microbes rather than infection burden. We aimed compare Alzheimer's disease other dementias across wide hospital-treated bacterial viral infections in two large cohorts with long periods.MethodsIn this large, multicohort, observational study, analysis was based primary cohort consisting pooled individual-level data from three prospective Finland (the Finnish Public Sector Health Social Support Still Working study) an independent replication UK Biobank. Community-dwelling adults (≥18 years) no at study entry were included. Follow-up until Dec 31, 2012, 2016, public sector Feb 7, 2018, cohort. Through record linkage national hospital inpatient registers, we ascertained exposure 925 diseases (using International Classification Diseases 10th Revision codes) before onset, identified incident records, medication reimbursement entitlements, death certificates. Hazard ratios (HRs) associations each group (index infection) assessed by use Cox proportional hazards models. then repeated after excluding cases that occurred during first 10 years initial hospitalisation due index infection.FindingsFrom March 1, 1986, Jan 2005, 260 490 people cohort, 19, 2006, Oct 2010, 485 708 In 3 947 046 person-years (median 15·4 [IQR 9·8–21·0]), 77 108 participants had least one onset 2768 developed Hospitalisation any associated (adjusted HR [aHR] 1·48 [95% CI 1·37–1·60]) (2·60 [2·38-2·83]). The association remained when analyses restricted new more (aHR 1·22 1·09–1·36] insufficient analysis), comorbidities factors considered. There dose-response between number episodes both (ptrend=0·0007). Although greatest seen central nervous system (CNS) versus 3·01 2·07–4·37]), excess also evident extra-CNS (1·47 [1·36–1·59]). found difference infection-dementia type infection, stronger vascular 2·09 1·59–2·75] aHR 1·20 [1·08–1·33] 3·28 [2·65–4·04] 1·80 [1·53–2·13] cohort).InterpretationSevere requiring treatment are long-term dementia, including disease. This not CNS infections, suggesting systemic effects sufficient affect brain. absence specificity combined relationships burden support hypothesis driven general inflammation microbes.FundingUK Medical Research Council, US National Institute Aging, Wellcome Trust, NordForsk, Academy Finland, Helsinki Life Science.

Language: Английский

Cytokine Storm DOI Open Access
David C. Fajgenbaum, Carl H. June

New England Journal of Medicine, Journal Year: 2020, Volume and Issue: 383(23), P. 2255 - 2273

Published: Dec. 2, 2020

Common Terminology Criteria for Adverse

Language: Английский

Citations

2538

Identifying specificity groups in the T cell receptor repertoire DOI

Jacob Glanville,

Huang Huang, Allison Nau

et al.

Nature, Journal Year: 2017, Volume and Issue: 547(7661), P. 94 - 98

Published: June 20, 2017

Language: Английский

Citations

929

Functional SARS-CoV-2-Specific Immune Memory Persists after Mild COVID-19 DOI Creative Commons
Lauren B. Rodda, Jason Netland, Laila Shehata

et al.

Cell, Journal Year: 2020, Volume and Issue: 184(1), P. 169 - 183.e17

Published: Nov. 23, 2020

Language: Английский

Citations

675

Imbalance of Regulatory and Cytotoxic SARS-CoV-2-Reactive CD4+ T Cells in COVID-19 DOI Creative Commons
Benjamin J. Meckiff, Ciro Ramírez-Suástegui, Vicente Fajardo

et al.

Cell, Journal Year: 2020, Volume and Issue: 183(5), P. 1340 - 1353.e16

Published: Oct. 5, 2020

Language: Английский

Citations

542

CXCR5+ follicular cytotoxic T cells control viral infection in B cell follicles DOI
Yew Ann Leong, Yaping Chen,

Hong Sheng Ong

et al.

Nature Immunology, Journal Year: 2016, Volume and Issue: 17(10), P. 1187 - 1196

Published: Aug. 3, 2016

Language: Английский

Citations

423

Helper T cell differentiation DOI Open Access
Jordy Saravia, Nicole M. Chapman, Hongbo Chi

et al.

Cellular and Molecular Immunology, Journal Year: 2019, Volume and Issue: 16(7), P. 634 - 643

Published: March 12, 2019

Citations

398

In Vivo CD4+T Cell Differentiation and Function: Revisiting the Th1/Th2 Paradigm DOI Open Access
Mikel Ruterbusch, Kurt B. Pruner, Laila Shehata

et al.

Annual Review of Immunology, Journal Year: 2020, Volume and Issue: 38(1), P. 705 - 725

Published: April 26, 2020

The discovery of CD4 + T cell subset–defining master transcription factors and framing the Th1/Th2 paradigm ignited field. Advances in vivo experimental systems, however, have revealed that more complex lineage-defining transcriptional networks direct differentiation lymphoid organs tissues. This review focuses on layers fate decisions inform vivo. Cytokine production by antigen-presenting cells other innate influences effector program [e.g., helper type 1 (Th1), Th2, Th17]. Signals downstream receptor influence whether individual clones bearing hallmarks this become follicular cells, supporting development B expressing specific antibody isotypes, or which activate microbicidal These bifurcated, parallel axes allow to augment their particular prevent disease.

Language: Английский

Citations

396

The role of IL-6 in host defence against infections: immunobiology and clinical implications DOI
Stefan Rose‐John, Kevin Winthrop, Leonard H. Calabrese

et al.

Nature Reviews Rheumatology, Journal Year: 2017, Volume and Issue: 13(7), P. 399 - 409

Published: June 15, 2017

Language: Английский

Citations

383

Next-Generation Sequencing of T and B Cell Receptor Repertoires from COVID-19 Patients Showed Signatures Associated with Severity of Disease DOI Creative Commons
Christoph Schultheiß, Lisa Paschold, Donjetë Simnica

et al.

Immunity, Journal Year: 2020, Volume and Issue: 53(2), P. 442 - 455.e4

Published: June 30, 2020

Language: Английский

Citations

336

Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition) DOI Creative Commons
Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch

et al.

European Journal of Immunology, Journal Year: 2021, Volume and Issue: 51(12), P. 2708 - 3145

Published: Dec. 1, 2021

Abstract The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes functional assays all major human murine immune cell subsets. Notably, contain helpful tables highlighting differences between cells. Another useful feature this is analysis clinical samples with examples applications in context autoimmune diseases, cancers as well acute chronic infectious diseases. Furthermore, there are detailing tips, tricks pitfalls avoid. All written peer‐reviewed by leading experts immunologists, making an essential state‐of‐the‐art handbook for basic researchers.

Language: Английский

Citations

324