Evidence map›Paper›PMID 16555616›Full record

ArticleTransactions of the American Clinical and Climatological Association2005

A novel approach to restore lung immunity during systemic immunosuppression.

William J Martin, Min Wu, Rajamouli Pasula

Open access · greenAbstract read
In one paragraph

Article in Transactions of the American Clinical and Climatological Association, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

12 citing papers in PubMed, 20 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

3 authors at 1 institution in 1 country.

William J MartinDepartment of Internal Medicine, University of Cincinnati, PO Box 670557, Cincinnati, Ohio 45267-0557, USA.
Min Wu
Rajamouli Pasula
University of Cincinnati · US

Funding

Alveolar Tissuegenesis in Murine Acute Lung InjuryZ01ES102085 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MARTIN, WILLIAM J. · 2006 to 2008
$1.9M
Alveolar Tissuegenesis in Murine Acute Lung InjuryZIAES102085 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MARTIN, WILLIAM J. · 2009 to 2009
$963k
6 · The paper itself

Abstract

Systemic immunosuppression accounts for significant morbidity and mortality worldwide. Pulmonary infections represent the most common cause of death in these patients. The resident inflammatory cell in the lung is the alveolar macrophage (AM) and its function is markedly diminished by immunosuppression. We hypothesized that AMs from normal mice with or without gene transfer of the gamma interferon gene inside the macrophages, can restore alveolar immunity in immunosuppressed mice with severe combined immunodeficiency syndrome (SCID). To test this hypothesis we intratracheally instilled normal and IFN-gamma activated macrophages to the lungs of SCID mice. We demonstrated that airway delivery of macrophages results in widespread alveolar distribution, improved phagocytic function and ability to clear opportunistic infections such as Pneumocystis carinii. Airway delivery of IFN-gamma expressing macrophages further increased the function of alveolar macrophages. Reconstitution of the lungs of immunosuppressed mice with normal or activated AMs can restore alveolar immunity despite ongoing systemic immunosuppression.

Indexed as

AnimalsBase SequenceDNAGene Transfer TechniquesHumansImmunosuppression TherapyInterferon-gammaLungMacrophage ActivationMacrophages, AlveolarMiceMice, SCIDOpportunistic InfectionsPneumocystis InfectionsDNAInterferon-gamma

Identifiers

PMID16555616
PMCPMC1473143
OpenAlexW48780900

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.