Evidence map›Paper›PMID 38063388›Full record

ArticleMicrobiology spectrum2024

Quantitative assessment of multiple pathogen exposure and immune dynamics at scale.

Lusheng Song, Femina Rauf, Ching-Wen Hou, Ji Qiu, Vel Murugan, Yunro Chung, Huafang Lai, Deborah Adam, D Mitchell Magee, Guillermo Trivino Soto and 6 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. PhIP-Seq: methods, applications and challenges.Frontiers in bioinformatics · 2024
    Review
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

16 authors.

Lusheng Song *Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.ORCID 0000-0003-2534-5198
Femina Rauf *Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Ching-Wen HouVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Ji QiuVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.ORCID 0000-0002-7913-9042
Vel MuruganVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Yunro ChungVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Huafang LaiVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Deborah AdamVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
D Mitchell MageeVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Guillermo Trivino SotoVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Milene PetersonVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Karen S AndersonVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Stephen G RiceVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Benjamin ReadheadArizona State University-Banner Neurodegenerative Disease Research Center , Tempe, Arizona, USA.
Jin G ParkVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.
Joshua LaBaerVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona, USA.ORCID 0000-0001-5788-9697

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI PENDLETON, RICHARD · 2019 to 2025
$3932.6M
Multiplexed In Solution Protein Array (MISPA) for identifying novel protein interactions in cancer and for early detection of immune responses in pathogen-induced cancersR21CA196442 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LABAER, JOSHUA · 2015 to 2017
$672k
NCI NIH HHS 75N91019D00024NCI NIH HHS 75N91021D00001NCI NIH HHS R21 CA196442
6 · The paper itself

Abstract

importanceSerology reveals exposure to pathogens, as well as the state of autoimmune and other clinical conditions. It is used to evaluate individuals and their histories and as a public health tool to track epidemics. Employing a variety of formats, studies nearly always perform serology by testing response to only one or a few antigens. However, clinical outcomes of new infections also depend on which previous infections may have occurred. We developed a high-throughput serology method that evaluates responses to hundreds of antigens simultaneously. It can be used to evaluate thousands of samples at a time and provide a quantitative readout. This tool will enable doctors to monitor which pathogens an individual has been exposed to and how that changes in the future. Moreover, public health officials could track populations and look for infectious trends among large populations. Testing many potential antigens at a time may also aid in vaccine development.

Indexed as

Immune SystemSerologyHumansPublic Healthhuman microbiomeimmunoassaysimmunoserologyinfectious disease surveillancemolecular diagnosismultiplex assayproteomicsvirology

Identifiers

PMID38063388
PMCPMC10783028

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.