Evidence map›Paper›PMID 35083423›Full record

ArticleCell stress2022

Evaluation of I-TAC as a potential early plasma marker to differentiate between critical and non-critical COVID-19.

Yushan Zhang, Chao Xu, Nelson I Agudelo Higuita, Resham Bhattacharya, Jennifer Holter Chakrabarty, Priyabrata Mukherjee

Open access · goldAbstract read
In one paragraph

Article in Cell stress, 2022. 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
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yushan ZhangDepartment of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, USA.
Chao XuDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, USA.
Nelson I Agudelo HiguitaDepartment of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, USA.
Resham BhattacharyaDepartment of Obstetrics and Gynecology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, USA.
Jennifer Holter ChakrabartyDepartment of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, USA.
Priyabrata MukherjeeDepartment of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, USA.
University of Oklahoma Health Sciences Center · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI PAUL G SPICER · 2013 to 2026
$68.2M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Michael S. Businelle · 2018 to 2026
$27.1M
Molecular Mechanism of Antiangiogenic Properties of Gold NanoparticleR01CA136494 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI MUKHERJEE, PRIYABRATA · 2009 to 2020
$2.9M
Reprogramming Tumor Microenvironment by NanoparticleR01CA213278 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI MUKHERJEE, PRIYABRATA · 2017 to 2021
$1.7M
Exploiting gold nanoparticle as a probe to identify therapeutic targetsR01CA260449 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Resham Bhattacharya, Priyabrata Mukherjee · 2022 to 2026
$1.6M
NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA136494NCI NIH HHS R01 CA213278NCI NIH HHS R01 CA260449NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

The COVID-19 pandemic has led to significant global health and economic consequences. There is an unmet need to define a molecular fingerprint of severity of the disease that may guide an early, rational and directed intervention preventing severe illness. We collected plasma from patients with moderate (nine cases), severe (22 cases) and critical (five cases) COVID-19 within three days of hospitalization (approximately one week after symptom onset) and used a cytokine antibody array to screen the 105 cytokines included in the array. We found that I-TAC, IP-10, ST2 and IL-1ra were significantly upregulated in patients with critical disease as compared to the non-critical (moderate and severe combined). ELISA further quantified I-TAC levels as 590.24±410.89, 645.35±517.59 and 1613.53±1010.59 pg/ml in moderate, severe and critical groups, respectively. Statistical analysis showed that I-TAC levels were significantly higher in patients with critical disease when compared with moderate (p = 0.04), severe (p = 0.03) or the combined non-critical (p = 0.02) group. Although limited by the low sample numbers, this study may suggest a role of I-TAC as a potential early marker to discriminate between critical and non-critical COVID-19 cases. Such knowledge is urgently needed for appropriate allocation of resources and to serve as a platform for future research towards early interventions that could mitigate disease severity and save lives.

Indexed as

COVID-19disease severityGasdermin BI-TACpyroptosisSARS-CoV-2

Identifiers

PMID35083423
PMCPMC8728569
OpenAlexW4205750812

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.