Evidence map›Paper›PMID 34649804›Full record

ArticleJournal of Ayurveda and integrative medicine

Evaluation of anti-inflammatory and immunomodulatory activity of Chyawanprash on particulate matter-induced pulmonary disease in mice.

Satyendra Kumar, Padmanabha Rugvedi, Kamaraj Mani, Arun Gupta

Open access · goldAbstract read
In one paragraph

Article in Journal of Ayurveda and integrative medicine. 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 36% 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, 7 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Satyendra KumarDabur Research and Development Centre, Dabur India Limited, Sahibabad, Ghaziabad, India.
Padmanabha RugvediDabur Research and Development Centre, Dabur India Limited, Sahibabad, Ghaziabad, India. Electronic address: padmanabha.rugvedi@dabur.com.
Kamaraj ManiDabur Research Foundation, Ghaziabad, India.
Arun GuptaDabur Research and Development Centre, Dabur India Limited, Sahibabad, Ghaziabad, India.
Dabur (India) · INDabur Research Foundation (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParticulate matter (PM) is the major component of air pollution, which includes emissions from both anthropogenic and natural sources. PM, with aerodynamic diameter of 2.5 ± 10 μm can remain in the air for a long time and be deposited in the lungs through inhalation and hence, is a major threat to human health.

objectiveThe objective of the present study was to examine the protective effect of Chyawanprash (CP) on PM-induced pulmonary disease through estimation of cytokines and immunoglobulins. MATERIALS AND

methodsCP, standard drug, and vehicle (Group G1 to Group G7) were administered orally at the dose volume of 10 ml/kg, for 28 consecutive days (Prophylactic treatment; i.e., Day 1 to Day 28) and next 10 days (i.e., Day 29 to Day 38) of co-treatment with inducing agent PM

resultsProphylactic benefit of CP against pulmonary pathology was evidenced by the inhibition of inflammatory cytokines (BALF: TNF a, IFN-g, IL-7, IL-6 and lung: TNFa, Histamine and IL-6), chemokines (Lung: MMP-9), inflammatory cell infiltration (cell counts in BALF), and histopatholoy in experimental mice model.

conclusionThese findings suggest that CP has potential benefit in protecting from harmful effects caused by air pollutants such as PM

Indexed as

BALFChyawanprashCytokinesPM(2.5)Pulmonary disease

Identifiers

PMID34649804
PMCPMC8642710
OpenAlexW3207497583

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.