Evidence map›Paper›PMID 36993430›Full record

ArticleResearch square2023

Multiomics integration of 22 immune-mediated monogenic diseases reveals an emergent axis of human immune health.

Rachel Sparks, Nicholas Rachmaninoff, Dylan C Hirsch, Neha Bansal, William W Lau, Andrew J Martins, Jinguo Chen, Candace C Liu, Foo Cheung, Laura E Failla and 39 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

49 authors at 2 institutions in 1 country.

Rachel SparksMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.ORCID 0000-0001-8216-5084
Nicholas RachmaninoffMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Dylan C HirschMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Neha BansalMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
William W LauMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Andrew J MartinsMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Jinguo ChenNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA.
Candace C LiuMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Foo CheungNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA.
Laura E FaillaMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Angelique BiancottoNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA.
Giovanna FantoniNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA.
Brian A SellersNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA.
Daniel G ChawlaInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
Katherine N HoweLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Darius MostaghimiMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Rohit FarmerNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA.
Yuri KotliarovNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA.
Katherine R CalvoHematology Section, Department of Laboratory Medicine, NIH Clinical Center, Bethesda, MD 20892, USA.
Cindy PalmerLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Janine DaubLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Ladan ForuraghiLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Samantha KreuzburgLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Jennifer TreatLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Amanda K UrbanClinical Research Directorate, Frederick National Laboratory for Cancer Research, National Cancer Institute, NIH, Frederick, MD 21701, USA.
Anne JonesInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Tina RomeoInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Natalie T DeuitchInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Natalia Sampaio MouraInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Barbara WeinsteinHematology Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA.
Susan MoirLaboratory of Immunoregulation, NIAID, NIH, Bethesda, MD 20892, USA.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
Karyl S BarronDivison of Intramural Research, NIAID, NIH, Bethesda, MD 20892, USA.
Ivona AksentijevichInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Steven H KleinsteinInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
Danielle M TownsleyHematology Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA.
Neal S YoungHematology Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA.
Pamela A Frischmeyer-GuerrerioLaboratory of Allergic Diseases, NIAID, NIH, Bethesda, MD 20892, USA.
Gulbu UzelLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Gineth Paola Pinto-PatarroyoInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Cornelia D CudriciNational Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda MD 20892, USA.
Patrycja HoffmannInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Deborah L StoneInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Amanda K OmbrelloInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Alexandra F FreemanLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Christa S ZerbeLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
Daniel L KastnerInflammatory Diseases Section, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Steven M HollandLaboratory of Clinical Immunology and Microbiology, NIAID, NIH, Bethesda, MD 20892, USA.
John S TsangMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA.ORCID 0000-0003-3186-3047
National Institutes of Health · USUniversity of Maryland, College Park · US

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI PENDLETON, RICHARD · 2019 to 2025
$3932.6M
NCI NIH HHS 75N91019D00024
6 · The paper itself

Abstract

Monogenic diseases are often studied in isolation due to their rarity. Here we utilize multiomics to assess 22 monogenic immune-mediated conditions with age- and sex-matched healthy controls. Despite clearly detectable disease-specific and "pan-disease" signatures, individuals possess stable personal immune states over time. Temporally stable differences among subjects tend to dominate over differences attributable to disease conditions or medication use. Unsupervised principal variation analysis of personal immune states and machine learning classification distinguishing between healthy controls and patients converge to a metric of immune health (IHM). The IHM discriminates healthy from multiple polygenic autoimmune and inflammatory disease states in independent cohorts, marks healthy aging, and is a pre-vaccination predictor of antibody responses to influenza vaccination in the elderly. We identified easy-to-measure circulating protein biomarker surrogates of the IHM that capture immune health variations beyond age. Our work provides a conceptual framework and biomarkers for defining and measuring human immune health.

Identifiers

PMID36993430
PMCPMC10055521
OpenAlexW4327977280

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.