Evidence map›Paper›PMID 33390762›Full record

ReviewCurrent opinion in colloid & interface science2021

Exogenous pulmonary surfactant: A review focused on adjunctive therapy for severe acute respiratory syndrome coronavirus 2 including SP-A and SP-D as added clinical marker.

Amit Ghati, Paulami Dam, Didar Tasdemir, Ahmet Kati, Hanen Sellami, Gulten Can Sezgin, Nilay Ildiz, Octavio L Franco, Amit Kumar Mandal, Ismail Ocsoy

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in colloid & interface science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Could SP-A and SP-D Serum Levels Predict COVID-19 Severity?International journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Advances in Biomarkers for Diagnosis and Treatment of ARDS.Diagnostics (Basel, Switzerland) · 2023
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
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  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

10 authors at 5 institutions in 4 countries.

Amit GhatiDepartment of Microbiology, Barrackpore Rastraguru Surendranath College, Kolkata, 700120, India.
Paulami DamCentre for Nanotechnology Sciences & Chemical Biology Laboratory, Department of Sericulture, Raiganj University, Raiganj, 733134, India.
Didar TasdemirDepartment of Analytical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri, 38039, Turkey.
Ahmet KatiDepartment of Biotechnology, Institution of Health Sciences, University of Health Sciences, Uskudar, Istanbul, 34668, Turkey.
Hanen SellamiLaboratory of Treatment and Valorization of Water Rejects (LTVRH), Water Researches and Technologies Center (CERTE), University of Carthage, BP 273-8020 Tourist Route Soliman, Tunisia.
Gulten Can SezginDepartment of Gastroenterology, Faculty of Medicine, Erciyes University, 38039, Kayseri, Turkey.
Nilay IldizDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Erciyes University, 38039, Kayseri, Turkey.
Octavio L FrancoS-INOVA Biotech, Post-Graduate Program in Biotechnology, Catholic University Dom Bosco, Campo Grande, Mato Grosso Do Sul, Brazil.
Amit Kumar MandalCentre for Nanotechnology Sciences & Chemical Biology Laboratory, Department of Sericulture, Raiganj University, Raiganj, 733134, India.
Ismail OcsoyDepartment of Analytical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri, 38039, Turkey.
Erciyes University · TRRaiganj University · INUniversidade Católica Dom Bosco · BRUniversity of Carthage · TNÜsküdar University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type I and type II pneumocytes are two forms of epithelial cells found lining the alveoli in the lungs. Type II pneumocytes exclusively secrete 'pulmonary surfactants,' a lipoprotein complex made up of 90% lipids (mainly phospholipids) and 10% surfactant proteins (SP-A, SP-B, SP-C, and SP-D). Respiratory diseases such as influenza, severe acute respiratory syndrome coronavirus infection, and severe acute respiratory syndrome coronavirus 2 infection are reported to preferentially attack type II pneumocytes of the lungs. After viral invasion, consequent viral propagation and destruction of type II pneumocytes causes altered surfactant production, resulting in dyspnea and acute respiratory distress syndrome in patients with coronavirus disease 2019. Exogenous animal-derived or synthetic pulmonary surfactant therapy has already shown immense success in the treatment of neonatal respiratory distress syndrome and has the potential to contribute efficiently toward repair of damaged alveoli and preventing severe acute respiratory syndrome coronavirus 2-associated respiratory failure. Furthermore, early detection of surfactant collectins (SP-A and SP-D) in the circulatory system can be a significant clinical marker for disease prognosis in the near future.

Indexed as

acute respiratory distress syndrome, ARDSangiotensin-converting enzyme 2, ACE2ARDSCollectincoronavirus disease 2019, COVID-19COVID-19dipalmitoylphosphatidylcholine, DPPChuman immunodeficiency virus, HIVinterleukin, ILpalmitoyl-oleoyl-phosphatidylglycerol, POPGphosphatidylinositol, PIPulmonary surfactantrespiratory distress syndrome, RDSSARS-CoV-2severe acute respiratory syndrome coronavirus 2, SARS-CoV-2surfactant proteins, SPToll-like receptor, TLRtumor necrosis factor, TNF

Identifiers

PMID33390762
PMCPMC7771299
OpenAlexW3117899116

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.