Evidence map›Paper›PMID 33553427›Full record

ReviewBioMed research international2021

The Role of Innate Immunity in Pulmonary Infections.

Huihui Zhang, Fang He, Pan Li, Philip R Hardwidge, Nengzhang Li, Yuanyi Peng

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

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  13. International journal of molecular sciences · 2023
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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 2 institutions in 2 countries.

Huihui ZhangCollege of Animal Medicine, Southwest University, Chongqing, China.ORCID https://orcid.org/0000-0001-7900-4140
Fang HeCollege of Animal Medicine, Southwest University, Chongqing, China.ORCID https://orcid.org/0000-0002-5938-004X
Pan LiCollege of Animal Medicine, Southwest University, Chongqing, China.
Philip R HardwidgeCollege of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Nengzhang LiCollege of Animal Medicine, Southwest University, Chongqing, China.
Yuanyi PengCollege of Animal Medicine, Southwest University, Chongqing, China.ORCID https://orcid.org/0000-0002-5572-9945
Southwest University · CNKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innate immunity forms a protective line of defense in the early stages of pulmonary infection. The primary cellular players of the innate immunity against respiratory infections are alveolar macrophages (AMs), dendritic cells (DCs), neutrophils, natural killer (NK) cells, and innate lymphoid cells (ILCs). They recognize conserved structures of microorganisms through membrane-bound and intracellular receptors to initiate appropriate responses. In this review, we focus on the prominent roles of innate immune cells and summarize transmembrane and cytosolic pattern recognition receptor (PRR) signaling recognition mechanisms during pulmonary microbial infections. Understanding the mechanisms of PRR signal recognition during pulmonary pathogen infections will help us to understand pulmonary immunopathology and lay a foundation for the development of effective therapies to treat and/or prevent pulmonary infections.

Indexed as

AnimalsDendritic CellsHumansImmunity, InnateInfectionsInflammasomesKiller Cells, NaturalLung DiseasesMacrophages, AlveolarNeutrophilsToll-Like ReceptorsInflammasomesToll-Like Receptors

Identifiers

PMID33553427
PMCPMC7847335
OpenAlexW3123219805

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.