Evidence map›Paper›PMID 35044660›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Method of Preparation of Cigarette Smoke Extract to Assess Lung Cancer-Associated Changes in Airway Epithelial Cells.

Hina Agraval, Jiten R Sharma, Umesh C S Yadav

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Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.0field-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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Hina AgravalSchool of Life Sciences, Central University of Gujarat, Gandhinagar, Gujarat, India.
Jiten R SharmaSchool of Life Sciences, Central University of Gujarat, Gandhinagar, Gujarat, India.
Umesh C S YadavSpecial Centre for Molecular Medicine, Jawaharlal Nehru University, New Delhi, India. ucsyadav@mail.jnu.ac.in.
Central University of Gujarat · INJawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking tobacco is a major risk factor for the development of lung cancer, COPD, and other lung pathologies in smokers. Cigarette smoke (CS), which is comprised of several toxic components, is known to cause oxidative stress and inflammation-induced lung damage. Since airway epithelial cells act as the primary barrier, they protect the lung tissues from environmental insults, including CS. Upon exposure to these insults, airway epithelial cells act as the initial site of injury and orchestrate the pathophysiology of lung cancer. Scientists have been using cigarette smoke extract (CSE) in the preclinical model of in vitro cell culture to understand the effect of CS on the cellular, biochemical, and molecular changes in the lung epithelial cells. However, the standard procedure to prepare the CSE in the laboratory with a low-cost assembly and obtaining a reproducible quality of CSE in different batches is a challenge. Here, in this chapter, we delineate the method for the preparation of CSE using a discontinuous puff-based system which is an economical and reproducible method to prepare CSE in the laboratory. This method is suitable for studying CSE-induced molecular changes in lung diseases, including lung cancer, using in vitro models of lung adenocarcinoma cells.

Indexed as

Cigarette SmokingLung NeoplasmsPulmonary Disease, Chronic ObstructiveEpithelial CellsHumansLungNicotianaAirway epithelial cellsCigarette smoke extractCSE preparationEMTLung cancer

Identifiers

PMID35044660
OpenAlexW4205933343

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.