Evidence map›Paper›PMID 36997517›Full record

ArticleNature communications2023

Virome-wide detection of natural infection events and the associated antibody dynamics using longitudinal highly-multiplexed serology.

Erin J Kelley, Sierra N Henson, Fatima Rahee, Annalee S Boyle, Anna L Engelbrektson, Georgia A Nelson, Heather L Mead, N Leigh Anderson, Morteza Razavi, Richard Yip and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Erin J KelleyThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.ORCID 0000-0002-4164-0771
Sierra N HensonThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.ORCID 0000-0002-9246-4392
Fatima RaheeThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.
Annalee S BoyleThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.
Anna L EngelbrektsonThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.
Georgia A NelsonThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.
Heather L MeadThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.
N Leigh AndersonSISCAPA Assay Technologies, Inc., Washington, DC, USA.
Morteza RazaviSISCAPA Assay Technologies, Inc., Washington, DC, USA.
Richard YipSISCAPA Assay Technologies, Inc., Washington, DC, USA.
Jason T LadnerThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.ORCID 0000-0001-7751-4366
Thomas J ScribaSouth African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-0641-1359
John A AltinThe Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA. jaltin@tgen.org.ORCID 0000-0001-7587-7470

Funding

A scalable platform for highly-multiplexed analysis of antibody reactivity from <1uL of bloodU24AI152172 · NIAID · TRANSLATIONAL GENOMICS RESEARCH INST · PI ALTIN, JOHN · 2020 to 2024
$3.3M
NIAID NIH HHS U24 AI152172
6 · The paper itself

Abstract

Current methods for detecting infections either require a sample collected from an actively infected site, are limited in the number of agents they can query, and/or yield no information on the immune response. Here we present an approach that uses temporally coordinated changes in highly-multiplexed antibody measurements from longitudinal blood samples to monitor infection events at sub-species resolution across the human virome. In a longitudinally-sampled cohort of South African adolescents representing >100 person-years, we identify >650 events across 48 virus species and observe strong epidemic effects, including high-incidence waves of Aichivirus A and the D68 subtype of Enterovirus D earlier than their widespread circulation was appreciated. In separate cohorts of adults who were sampled at higher frequency using self-collected dried blood spots, we show that such events temporally correlate with symptoms and transient inflammatory biomarker elevations, and observe the responding antibodies to persist for periods ranging from ≤1 week to >5 years. Our approach generates a rich view of viral/host dynamics, supporting novel studies in immunology and epidemiology.

Indexed as

Enterovirus D, HumanEnterovirus InfectionsEpidemicsVirusesAdolescentAdultAntibodies, ViralHumansViromeAntibodies, Viral

Identifiers

PMID36997517
PMCPMC10062260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.