Evidence map›Paper›PMID 36968437›Full record

ArticleBio-protocol2023

Isolation of RNA from the Murine Colonic Tissue and qRT-PCR for Inflammatory Cytokines.

Ibrahim M Sayed, Kaili Inouye, Soumita Das, Laura Crotty Alexander

Open access · diamondFull text read
In one paragraph

Article in Bio-protocol, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Ibrahim M SayedDepartment of Pathology, University of California San Diego (UCSD), CA 92093, USA.
Kaili InouyeDepartment of Pathology, University of California San Diego (UCSD), CA 92093, USA.
Soumita DasDepartment of Pathology, University of California San Diego (UCSD), CA 92093, USA.
Laura Crotty AlexanderPulmonary and Critical Care Section, VA San Diego Healthcare System, La Jolla, 92161, USA.
University of California, San Diego · USVA San Diego Healthcare System · US

Funding

Electronic Cigarette Vapor Inhalation Adversely Affects Lung Cellular and Physiologic Function and Alters Systemic Inflammatory PathwaysR01HL137052 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CROTTY ALEXANDER, LAURA ELISE · 2017 to 2021
$2.3M
Innate responses following infection with enteric microbesR01DK107585 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAS, SOUMITA · 2016 to 2020
$2.2M
NHLBI NIH HHS R01 HL137052NIDDK NIH HHS R01 DK107585
6 · The paper itself

Abstract

E-cigarette (E-cig) inhalation affects health status by modulating inflammation profiles in several organs, including the brain, lung, heart, and colon. The effect of flavored fourth-generation pod-based E-cigs (JUUL) on murine gut inflammation is modulated by both flavor and exposure period. Exposure of mice to JUUL mango and JUUL mint for one month upregulated inflammatory cytokines, particularly TNF-α, IL-6, and Cxcl-1 (IL-8). JUUL Mango effects were more prominent than those incurred by JUUL Mint after one month of exposure. However, JUUL Mango reduced the expression of colonic inflammatory cytokines after three months of exposure. In this protocol, we detail the process of RNA isolation from the mouse colon and the use of extracted RNA in profiling the inflammatory milieu. Efficient RNA extraction from the murine colon is the most important step in the evaluation of inflammatory transcripts in the colon.

Indexed as

E-cigaretteFlavored JUULInflammationMouse colonRNA

Identifiers

PMID36968437
PMCPMC10031518
OpenAlexW4327793723

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read3
measurements read29
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.