Evidence map›Paper›PMID 37278651›Full record

ArticleMicrobiology spectrum2023

Comparative Analysis of Antimicrobial Antibodies between Mild and Severe COVID-19.

Ji Qiu, Anna Engelbrektson, Lusheng Song, Jin Park, Vel Murugan, Stacy Williams, Yunro Chung, Ericka Nelly Pompa-Mera, Jorge Luis Sandoval-Ramirez, Jose Antonio Mata-Marin and 8 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

18 authors at 5 institutions in 3 countries.

Ji QiuCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0002-7913-9042
Anna EngelbrektsonCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Lusheng SongCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Jin ParkCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Vel MuruganCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Stacy WilliamsCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Yunro ChungCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Ericka Nelly Pompa-MeraUnidad de Investigación Médica en Enfermedades Infecciosas y Parasitarias, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Jorge Luis Sandoval-RamirezHospital de Infectología, CMN "La Raza", Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Jose Antonio Mata-MarinHospital de Infectología, CMN "La Raza", Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Jesus Gaytan-MartinezHospital de Infectología, CMN "La Raza", Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Eliana TroianiUniversità Cattolica del Sacro Cuore, Rome, Italy.
Maurizio SanguinettiUniversità Cattolica del Sacro Cuore, Rome, Italy.
Paola RoncadaDepartment of Health Sciences, University Magna Græcia of Catanzaro, Catanzaro, Italy.
Andrea UrbaniUniversità Cattolica del Sacro Cuore, Rome, Italy.
Giacomo MorettiFondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Javier TorresUnidad de Investigación Médica en Enfermedades Infecciosas y Parasitarias, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0003-3945-4221
Joshua LaBaerCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Arizona State University · USMexican Social Security Institute · MXUniversità Cattolica del Sacro Cuore · ITAgostino Gemelli University Polyclinic · ITMagna Graecia University · IT

Funding

Exploiting the immune response to detect pathogen-induced cancersR01CA199948 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LABAER, JOSHUA, QIU, JI · 2015 to 2019
$2.4M
NCI NIH HHS R01 CA199948
6 · The paper itself

Abstract

Patients with 2019 coronavirus disease (COVID-19) exhibit a broad spectrum of clinical presentations. A person's antimicrobial antibody profile, as partially shaped by past infection or vaccination, can reflect the immune system health that is critical to control and resolve the infection. We performed an explorative immunoproteomics study using microbial protein arrays displaying 318 full-length antigens from 77 viruses and 3 bacteria. We compared antimicrobial antibody profiles between 135 patients with mild COVID-19 disease and 215 patients with severe disease in 3 independent cohorts from Mexico and Italy. Severe disease patients were older with higher prevalence of comorbidities. We confirmed that severe disease patients elicited a stronger anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) response. We showed that antibodies against HCoV-229E and HcoV-NL63 but not against HcoV-HKU1 and HcoV-OC43 were also higher in those who had severe disease. We revealed that for a set of IgG and IgA antibodies targeting coronaviruses, herpesviruses, and other respiratory viruses, a subgroup of patients with the highest reactivity levels had a greater incidence of severe disease compared to those with mild disease across all three cohorts. On the contrary, fewer antibodies showed consistent greater prevalence in mild disease in all 3 cohorts.

Indexed as

Coronavirus 229E, HumanCoronavirus OC43, HumanCOVID-19Antibodies, ViralHumansSARS-CoV-2Antibodies, Viralantibody profilingCOVID-19herpesvirushuman coronavirusprotein arraysrespiratory virusSARS-CoV-2virus antibody

Identifiers

PMID37278651
PMCPMC10433851
OpenAlexW4379508158

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.