Evidence map›Paper›PMID 30514375›Full record

ArticleStem cell research & therapy2018

Targeted migration of bone marrow mesenchymal stem cells inhibits silica-induced pulmonary fibrosis in rats.

Xiaoli Li, Guoliang An, Yan Wang, Di Liang, Zhonghui Zhu, Lin Tian

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stem cell research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Animal models of silicosis: fishing for new therapeutic targets and treatments.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
  10. Article
  11. The role of pyroptosis in inflammatory diseases.Frontiers in cell and developmental biology · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Cellular Therapy for the Treatment of Paediatric Respiratory Disease.International journal of molecular sciences · 2021
    Review
  20. 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

6 authors at 1 institution in 1 country.

Xiaoli LiBeijing Tropical Medicine Research Institute, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Guoliang AnDepartment of Occupational and Environmental Health, School of Public Health, Capital Medical University, No. 10, Xi toutiao outside You anmen, Beijing, 100069, China.
Yan WangDepartment of Occupational and Environmental Health, School of Public Health, Capital Medical University, No. 10, Xi toutiao outside You anmen, Beijing, 100069, China.
Di LiangDepartment of Occupational and Environmental Health, School of Public Health, Capital Medical University, No. 10, Xi toutiao outside You anmen, Beijing, 100069, China.
Zhonghui ZhuDepartment of Occupational and Environmental Health, School of Public Health, Capital Medical University, No. 10, Xi toutiao outside You anmen, Beijing, 100069, China.
Lin TianDepartment of Occupational and Environmental Health, School of Public Health, Capital Medical University, No. 10, Xi toutiao outside You anmen, Beijing, 100069, China. tian_lin@163.com.ORCID 0000-0001-6488-7999
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSilicosis is a common occupational disease, characterized by silicotic nodules and diffuse pulmonary fibrosis. We demonstrated an anti-fibrotic effect of bone marrow mesenchymal stem cells (BMSCs) in silica-induced lung fibrosis. In the present study, we sought to clarify the homing ability of BMSCs and the specific mechanisms for their effects. METHODS AND

resultsThe biodistribution of BMSCs was identified by near-infrared fluorescence (NIRF) imaging in vivo and in vitro. The results showed that BMSCs labeled with NIR-DiR dyes targeted silica-injured lung tissue, wherein they reached a peak at 6 h post-injection and declined dramatically by day 3. Based on these findings, a second injection of BMSCs was administered 3 days after the first injection. The injected BMSCs migrated to the injured lungs, but did not undergo transformation into specific lung cell types. Interestingly, the injection of BMSC-conditioned medium (BMSCs-CM) significantly attenuated silica-induced pulmonary fibrosis. The collagen deposition and number of nodules were decreased in lung tissues of BMSCs-CM-treated rats. In parallel with these findings, the mRNA levels of collagen I, collagen III, and fibronectin, and the content of transforming growth factor (TGF)-β1 and hydroxyproline were decreased in the BMSCs-CM-treated group compared with the silica group. In addition, alveolar epithelial markers were upregulated by BMSCs-CM treatment.

conclusionsBMSCs migrated to injured areas of the lung after silica instillation and attenuated pulmonary fibrosis. The anti-fibrotic effects of BMSCs were mainly exerted in paracrine manner, rather than through their ability to undergo differentiation.

Indexed as

Cell MovementMesenchymal Stem Cell TransplantationAnimalsBone Marrow CellsCarbocyaninesCell DeathCulture Media, ConditionedEpithelial CellsFemaleGene Expression RegulationLungMaleMesenchymal Stem CellsModels, BiologicalPhenotypePulmonary FibrosisCarbocyaninesCulture Media, ConditionedindotricarbocyanineSilicon DioxideBone marrow mesenchymal stem cellsMigrationPulmonary fibrosisSilicosis

Identifiers

PMID30514375
PMCPMC6280342
OpenAlexW2903047257

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.