Evidence map›Paper›PMID 35811742›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2022

Complex Evaluation of Surfactant Protein A and D as Biomarkers for the Severity of COPD.

Mei-Yu Lv, Li-Xia Qiang, Bao-Cai Wang, Yue-Peng Zhang, Zhi-Heng Li, Xiang-Shun Li, Ling-Ling Jin, Shou-De Jin

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Abhd2, a Candidate Gene Regulating Airway Remodeling in COPD via TGF-β.International journal of chronic obstructive pulmonary disease · 2024
    Article
  16. Article
  17. Basic Science Perspective on Engineering and Modeling the Large Airways.Advances in experimental medicine and biology · 2023
    Article
  18. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
    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

8 authors at 1 institution in 1 country.

Mei-Yu LvDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.ORCID 0000-0001-6448-0128
Li-Xia QiangDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
Bao-Cai WangDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
Yue-Peng ZhangDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
Zhi-Heng LiDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
Xiang-Shun LiDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
Ling-Ling JinDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
Shou-De JinDepartment of Respiratory Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Pulmonary surfactant proteins A (SP-A) and D (SP-D) are lectins, involved in host defense and regulation of pulmonary inflammatory response. However, studies on the assessment of COPD progress are limited. Patients and Methods: Pulmonary surfactant proteins were obtained from the COPD mouse model induced by cigarette and lipopolysaccharide, and the specimens of peripheral blood and bronchoalveolar lavage (BALF) in COPD populations. H&E staining and RT-PCR were performed to demonstrate the successfully established of the mouse model. The expression of SP-A and SP-D in mice was detected by Western Blot and immunohistochemistry, while the proteins in human samples were measured by ELISA. Pulmonary function test, inflammatory factors (CRP, WBC, NLR, PCT, EOS, PLT), dyspnea index score (mMRC and CAT), length of hospital stay, incidence of complications and ventilator use were collected to assess airway remodeling and progression of COPD. Results: COPD model mice with emphysema and airway wall thickening were more prone to have decreased SP-A, SP-D and increased TNF-α, TGF-β, and NF-kb in lung tissue. In humans, SP-A and SP-D decreased in BALF, but increased in serum. The serum SP-A and SP-D were negatively correlated with FVC, FEV1, FEV1/FVC, and positively correlated with CRP, WBC, NLR, mMRC and CAT scores ( Conclusion: This study suggests that SP-A and SP-D may be related to the progression and prognostic evaluation of COPD in terms of airway remodeling, inflammatory response and clinical symptoms, and emphasizes the necessity of future studies of surfactant protein markers in COPD.

Indexed as

Pulmonary Disease, Chronic ObstructivePulmonary SurfactantsAirway RemodelingAnimalsBiomarkersMicePulmonary Surfactant-Associated Protein APulmonary Surfactant-Associated Protein DBiomarkersPulmonary Surfactant-Associated Protein APulmonary Surfactant-Associated Protein DPulmonary Surfactantsairway remodelingCOPDpulmonary surfactant protein A and D

Identifiers

PMID35811742
PMCPMC9259505
OpenAlexW4283752291

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.