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      Platelet response to influenza vaccination reflects effects of aging

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          Abstract

          Platelets are uniquely positioned as mediators of not only hemostasis but also innate immunity. However, how age and geriatric conditions such as frailty influence platelet function during an immune response remains unclear. We assessed the platelet transcriptome at baseline and following influenza vaccination in Younger (age 21–35) and Older (age ≥65) adults (including community‐dwelling individuals who were largely non‐frail and skilled nursing facility (SNF)‐resident adults who nearly all met criteria for frailty). Prior to vaccination, we observed an age‐associated increase in the expression of platelet activation and mitochondrial RNAs and decrease in RNAs encoding proteins mediating translation. Age‐associated differences were also identified in post‐vaccination response trajectories over 28 days. Using tensor decomposition analysis, we found increasing RNA expression of genes in platelet activation pathways in young participants, but decreasing levels in (SNF)‐resident adults. Translation RNA trajectories were inversely correlated with these activation pathways. Enhanced platelet activation was found in community‐dwelling older adults at the protein level, compared to young individuals both prior to and post‐vaccination; whereas SNF residents showed decreased platelet activation compared to community‐dwelling older adults that could reflect the influence of decreased translation RNA expression. Our results reveal alterations in the platelet transcriptome and activation responses that may contribute to age‐associated chronic inflammation and the increased incidence of thrombotic and pro‐inflammatory diseases in older adults.

          Abstract

          Platelets mediate innate immune responses as well as thrombosis. We found an age‐associated increase in platelet activation RNAs, further increased in skilled nursing facility (enriched for frailty) vs. community‐dwelling (largely non‐frail) older adults. Tensor decomposition analysis revealed distinct trajectories of platelet activation following high‐dose influenza vaccine. Our results implicate platelets, which are anucleate and lack nuclear transcription, in age‐related chronic inflammation.

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          Most cited references77

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Frailty in Older Adults: Evidence for a Phenotype

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              g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update)

              Abstract Biological data analysis often deals with lists of genes arising from various studies. The g:Profiler toolset is widely used for finding biological categories enriched in gene lists, conversions between gene identifiers and mappings to their orthologs. The mission of g:Profiler is to provide a reliable service based on up-to-date high quality data in a convenient manner across many evidence types, identifier spaces and organisms. g:Profiler relies on Ensembl as a primary data source and follows their quarterly release cycle while updating the other data sources simultaneously. The current update provides a better user experience due to a modern responsive web interface, standardised API and libraries. The results are delivered through an interactive and configurable web design. Results can be downloaded as publication ready visualisations or delimited text files. In the current update we have extended the support to 467 species and strains, including vertebrates, plants, fungi, insects and parasites. By supporting user uploaded custom GMT files, g:Profiler is now capable of analysing data from any organism. All past releases are maintained for reproducibility and transparency. The 2019 update introduces an extensive technical rewrite making the services faster and more flexible. g:Profiler is freely available at https://biit.cs.ut.ee/gprofiler.
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                Author and article information

                Contributors
                steven.kleinstein@yale.edu
                albert.shaw@yale.edu
                Journal
                Aging Cell
                Aging Cell
                10.1111/(ISSN)1474-9726
                ACEL
                Aging Cell
                John Wiley and Sons Inc. (Hoboken )
                1474-9718
                1474-9726
                19 January 2023
                February 2023
                : 22
                : 2 ( doiID: 10.1111/acel.v22.2 )
                : e13749
                Affiliations
                [ 1 ] Department of Pathology Yale School of Medicine New Haven Connecticut USA
                [ 2 ] Department of Internal Medicine, Section of Infectious Diseases Yale School of Medicine New Haven Connecticut USA
                [ 3 ] Section of Rheumatology, Department of Internal Medicine Yale School of Medicine New Haven Connecticut USA
                [ 4 ] Department of Internal Medicine, Section of Geriatrics and Program on Aging Yale School of Medicine New Haven Connecticut USA
                [ 5 ] Division of Infectious Diseases, Department of Medicine Saint Louis University School of Medicine St. Louis Missouri USA
                [ 6 ] Program in Computational Biology and Bioinformatics Yale University New Haven Connecticut USA
                [ 7 ] Departments of Internal Medicine and Pathology, and the Molecular Medicine Program University of Utah Health Salt Lake City Utah USA
                [ 8 ] Department of Medicine and the GRECC George E. Wahlen VAMC Salt Lake City Utah USA
                Author notes
                [*] [* ] Correspondence

                Steven H. Kleinstein, Department of Pathology, Yale School of Medicine, New Haven, CT, USA.

                Email: steven.kleinstein@ 123456yale.edu

                Albert C. Shaw, Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA.

                Email: albert.shaw@ 123456yale.edu

                Author information
                https://orcid.org/0000-0003-4024-2058
                Article
                ACEL13749 ACE-22-0338.R1
                10.1111/acel.13749
                9924941
                36656789
                5be662fb-3c26-4cf8-b528-a1daad216d3e
                © 2023 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 October 2022
                : 16 May 2022
                : 15 November 2022
                Page count
                Figures: 7, Tables: 2, Pages: 16, Words: 11440
                Funding
                Funded by: Claude D. Pepper Older Americans Independence Center, Yale School of Medicine
                Award ID: P30 AG021342
                Funded by: National Institute of Allergy and Infectious Diseases , doi 10.13039/100000060;
                Award ID: U19 AI089992
                Funded by: National Institute on Aging , doi 10.13039/100000049;
                Award ID: K24 AG042489
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                February 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.5 mode:remove_FC converted:13.02.2023

                Cell biology
                age‐specific immunity,flow cytometry,frailty,immunosenescence,platelets,rnaseq,tensor decomposition,vaccination

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