Evidence map›Paper›PMID 39516646›Full record

ArticleNature immunology2024

Nanotech unveils cytokine traces in post-COVID cardiovascular complications.

Harish Narasimhan, Jie Sun

Abstract read
In one paragraph

Article in Nature immunology, 2024. 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
–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

1 citing paper in PubMed.

  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

2 authors.

Harish NarasimhanBeirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-3376-8257
Jie SunBeirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, USA. js6re@virginia.edu.ORCID http://orcid.org/0000-0002-2347-4511

Funding

INTERDISCIPLINARY TRAINING PROGRAM IN IMMUNOLOGYT32AI007496 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Michael G. Brown, Coleen A McNamara · 1995 to 2026
$10.2M
Host cellular network governing the development of post SARS-CoV-2 tissue sequelaeR01AI147394 · NIAID · UNIVERSITY OF VIRGINIA · PI Jie Sun · 2020 to 2026
$4.7M
Molecular regulation of protective CD8 immunity against influenza infectionR01AI112844 · NIAID · UNIVERSITY OF VIRGINIA · PI SUN, JIE · 2015 to 2024
$4.5M
Elucidating the roles of alveolar macrophage inflammation and selfrenewal during influenza infectionR01AG069264 · NIA · UNIVERSITY OF VIRGINIA · PI Jie Sun · 2020 to 2026
$3.5M
Roles of tissue-resident helper T cells in mucosal immunity against influenzainfectionR01AI154598 · NIAID · UNIVERSITY OF VIRGINIA · PI SUN, JIE · 2020 to 2024
$2.9M
Determinants of Convalescent and Vaccine-induced Mucosal Specific Immunity to SARS-CoV-2 and Variants of Concern in Children with AsthmaR01AI176171 · NIAID · UNIVERSITY OF VIRGINIA · PI Jie Sun, WILLIAM GERALD TEAGUE · 2023 to 2026
$2.7M
Simultaneously boosting both humoral and cellular immunity following vaccinationR01AG047156 · NIA · MAYO CLINIC ROCHESTER · PI SUN, JIE · 2015 to 2019
$1.6M
CD38, T cells and post viral lung sequelae during agingR01AG090337 · NIA · UNIVERSITY OF VIRGINIA · PI Jie Sun · 2025 to 2026
$1.3M
Immune-epithelial progenitor interactions drive age-associated dysplastic lung repair post viral pneumoniaF31HL170746 · NHLBI · UNIVERSITY OF VIRGINIA · PI NARASIMHAN, HARISH · 2023 to 2024
$86k
NHLBI NIH HHS F31 HL170746NIAID NIH HHS R01 AI112844NIAID NIH HHS R01 AI147394NIAID NIH HHS R01 AI154598NIAID NIH HHS R01 AI176171NIAID NIH HHS T32 AI007496NIA NIH HHS R01 AG047156NIA NIH HHS R01 AG069264NIA NIH HHS R01 AG090337
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39516646
PMCPMC12483057

What OpenQuestion holds

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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.