Evidence map›Paper›PMID 28548877›Full record

ArticleAutophagy2017

Role of OSGIN1 in mediating smoking-induced autophagy in the human airway epithelium.

Guoqing Wang, Haixia Zhou, Yael Strulovici-Barel, Mohammed Al-Hijji, Xuemei Ou, Jacqueline Salit, Matthew S Walters, Michelle R Staudt, Robert J Kaner, Ronald G Crystal

Open access · bronzeAbstract read
In one paragraph

Article in Autophagy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. TheBiomolecules · 2025
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  5. Article
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
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  13. Article
  14. Article
  15. Role of autophagy in lung diseases and ageing.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Guoqing Wanga Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Haixia Zhoua Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Yael Strulovici-Barela Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Mohammed Al-Hijjia Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Xuemei Oua Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Jacqueline Salita Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Matthew S Waltersa Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Michelle R Staudta Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Robert J Kanera Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Ronald G Crystala Department of Genetic Medicine , Weill Cornell Medical College , New York , NY , USA.
Cornell University · USSichuan University · CNWeill Cornell Medical College in Qatar · QAWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhanced macroautophagy/autophagy is recognized as a component of the pathogenesis of smoking-induced airway disease. Based on the knowledge that enhanced autophagy is linked to oxidative stress and the DNA damage response, both of which are linked to smoking, we used microarray analysis of the airway epithelium to identify smoking upregulated genes known to respond to oxidative stress and the DNA damage response. This analysis identified OSGIN1 (oxidative stress induced growth inhibitor 1) as significantly upregulated by smoking, in both the large and small airway epithelium, an observation confirmed by an independent small airway microarray cohort, TaqMan PCR of large and small airway samples and RNA-Seq of small airway samples. High and low OSGIN1 expressors have different autophagy gene expression patterns in vivo. Genome-wide correlation of RNAseq analysis of airway basal/progenitor cells showed a direct correlation of OSGIN1 mRNA levels to multiple classic autophagy genes. In vitro cigarette smoke extract exposure of primary airway basal/progenitor cells was accompanied by a dose-dependent upregulation of OSGIN1 and autophagy induction. Lentivirus-mediated expression of OSGIN1 in human primary basal/progenitor cells induced puncta-like staining of MAP1LC3B and upregulation of MAP1LC3B mRNA and protein and SQSTM1 mRNA expression level in a dose and time-dependent manner. OSGIN1-induction of autophagosome, amphisome and autolysosome formation was confirmed by colocalization of MAP1LC3B with SQSTM1 or CD63 (endosome marker) and LAMP1 (lysosome marker). Both OSGIN1 overexpression and knockdown enhanced the smoking-evoked autophagic response. Together, these observations support the concept that smoking-induced upregulation of OSGIN1 is one link between smoking-induced stress and enhanced-autophagy in the human airway epithelium.

Indexed as

AutophagyCigarette SmokingApoptosis Regulatory ProteinsAutophagosomesCells, CulturedHumansLysosomesMicrotubule-Associated ProteinsOxidative StressProteinsRespiratory MucosaSequestosome-1 ProteinUp-RegulationApoptosis Regulatory ProteinsMAP1LC3B protein, humanMicrotubule-Associated ProteinsOSGIN1 protein, humanProteinsSequestosome-1 ProteinSQSTM1 protein, humanairway epitheliumautophagyCOPDoxidative stresssmokingstem cellTP53

Identifiers

PMID28548877
PMCPMC5529077
OpenAlexW2617686109

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.