Evidence map›Paper›PMID 22001347›Full record

ArticleThe American journal of pathology2011

SPARC oppositely regulates inflammation and fibrosis in bleomycin-induced lung damage.

Sabina Sangaletti, Claudio Tripodo, Barbara Cappetti, Patrizia Casalini, Claudia Chiodoni, Silvia Piconese, Alessandra Santangelo, Mariella Parenza, Ivano Arioli, Silvia Miotti and 1 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The American journal of pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

40 citing papers in PubMed, 77 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Sabina SangalettiMolecular Immunology Unit, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
Claudio Tripodo
Barbara Cappetti
Patrizia Casalini
Claudia Chiodoni
Silvia Piconese
Alessandra Santangelo
Mariella Parenza
Ivano Arioli
Silvia Miotti
Mario P Colombo
Fondazione IRCCS Istituto Nazionale dei Tumori · ITUniversity of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis results from inflammatory tissue damage and impaired regeneration. In the context of bleomycin-induced pulmonary fibrosis, we demonstrated that the matricellular protein termed secreted protein acidic and rich in cysteine (SPARC) distinctly regulates inflammation and collagen deposition, depending on its cellular origin. Reciprocal Sparc(-/-) and wild-type (WT) bone marrow chimeras revealed that SPARC expression in host fibroblasts is required and sufficient to induce collagen fibrosis in a proper inflammatory environment. Accordingly, Sparc(-/-) >WT chimeras showed exacerbated inflammation and fibrosis due to the inability of Sparc(-/-) macrophages to down-regulate tumor necrosis factor production because of impaired responses to tumor growth factor-β. Hence, the use of bone marrow cells expressing a dominant-negative form of tumor growth factor-β receptor type II under the monocyte-specific CD68 promoter, as a decoy, phenocopied Sparc(-/-) donor chimeras. Our results point to an unexpected dual role of SPARC in oppositely influencing the outcome of fibrosis.

Indexed as

AnimalsBleomycinBone Marrow CellsChimeraCollagenDown-RegulationFibroblastsLeukocytesMacrophagesMiceMice, Inbred BALB COsteonectinPneumoniaPulmonary FibrosisTransforming Growth Factor betaTumor Necrosis Factor-alphaBleomycinCollagenOsteonectinTransforming Growth Factor betaTumor Necrosis Factor-alpha

Identifiers

PMID22001347
PMCPMC3260886
OpenAlexW2080798474

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.