Evidence map›Paper›PMID 37278532›Full record

ReviewmBio2023

IFNλ: balancing the light and dark side in pulmonary infection.

Danielle Antos, John F Alcorn

Open access · goldAbstract readReview
In one paragraph

Review in mBio, 2023. 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
0.9field-weighted citation impact, top 25% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

2 authors at 1 institution in 1 country.

Danielle AntosDivision of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh , Pittsburgh, Pennsylvania, USA.
John F AlcornDivision of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh , Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-5997-7711
University of Pittsburgh · US

Funding

Influenza A Inhibits TH17 Host Defense Against Bacterial PneumoniaR01HL107380 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALCORN, JOHN F · 2012 to 2024
$5.4M
Impact of interferon λ signaling on lung macrophage function and type 17 immunity during bacterial super-infection following influenzaF31HL164031 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ANTOS, DANIELLE · 2023 to 2024
$97k
HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) HL107380HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) HL164031NHLBI NIH HHS F31 HL164031NHLBI NIH HHS R01 HL107380
6 · The paper itself

Abstract

Interferon (IFN) represents a well-known component of antiviral immunity that has been studied extensively for its mechanisms of action and therapeutic potential when antiviral treatment options are limited. Specifically in the respiratory tract, IFNs are induced directly on viral recognition to limit the spread and transmission of the virus. Recent focus has been on the IFNλ family, which has become an exciting focus in recent years for its potent antiviral and anti-inflammatory activities against viruses infecting barrier sites, including the respiratory tract. However, insights into the interplay between IFNλs and other pulmonary infections are more limited and suggest a more complex role, potentially detrimental, than what was seen during viral infections. Here, we review the role of IFNλs in pulmonary infections, including viral, bacterial, fungal, and multi-pathogen super-infections, and how this may impact future work in the field.

Indexed as

InterferonsPneumoniaAntiviral AgentsHumansAntiviral AgentsInterferonsbacteriaimmunityinterferonlungvirus

Identifiers

PMID37278532
PMCPMC10470512
OpenAlexW4379508524

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.