Evidence map›Paper›PMID 19430896›Full record

ArticleJournal of clinical immunology2009

Sequential changes in serum cytokines reflect viral RNA kinetics in target organs of a coxsackievirus B infection in mice.

Magnus Lundgren, Per Ola Darnerud, Jonas Blomberg, Göran Friman, Nils-Gunnar Ilbäck

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical immunology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. β-Cell-selective regulation of gene expression by nitric oxide.American journal of physiology. Regulatory, integrative and comparative physiology · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection.Proceedings of the National Academy of Sciences of the United States of America · 2010
    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

5 authors at 2 institutions in 1 country.

Magnus LundgrenToxicology Division, National Food Administration, 752 27 Uppsala, Sweden. magnus.lundgren@slv.se
Per Ola Darnerud
Jonas Blomberg
Göran Friman
Nils-Gunnar Ilbäck
Uppsala University Hospital · SENational Food Administration · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe pattern of cytokine responses related to viral replication during the course of the common human coxsackievirus B3 (CVB3) infection is not known.

methodsSerum levels of 21 cytokines and chemokines were studied (Luminex technique) in CVB3-infected in mice on days 3, 6, and 9 post-infection (p.i.). CVB3 was measured quantitatively (reverse transcriptase polymerase chain reaction) in the liver and pancreas.

resultsVirus levels peaked on day 3 in both the liver and pancreas, but were 1,000-fold higher in the pancreas. IL-17alpha, IFN-gamma, KC, MCP-1, MIP1beta, and RANTES were detected on all days. On day 3 p.i., IL-6, IL-12(p40), KC, MCP-1, RANTES, and TNF-alpha were found to peak. On day 6 p.i., IL-1beta, IL-9, IL-12(p70), IL-13, IL-17alpha, and IFN-gamma peaked. On day 9 p.i., MIP1beta, IL-1beta, MCP-1, and TNF-alpha were still increased. These changes in cytokines may be used to monitor the progress of enteroviral infections in clinical settings.

Indexed as

AnimalsCoxsackievirus InfectionsCytokinesDisease ProgressionEnterovirus B, HumanFemaleImmunityLiverMiceMice, Inbred BALB CPancreasRNA, ViralViral LoadVirulenceVirus ReplicationCytokinesRNA, Viral

Identifiers

PMID19430896
OpenAlexW1966417172

What OpenQuestion holds

Textmetadata
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.