Evidence map›Paper›PMID 28747958›Full record

ArticleTuberculosis and respiratory diseases2017

The Role of

Ameeruddin Nusrath Unissa, Swathi Sukumar, Luke Elizabeth Hanna

Open access · diamondAbstract read
In one paragraph

Article in Tuberculosis and respiratory diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Determination ofPharmaceutics · 2024
    Article
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Ameeruddin Nusrath UnissaDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis (NIRT), Indian Council of Medical Research (ICMR), Chennai, India.
Swathi SukumarDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis (NIRT), Indian Council of Medical Research (ICMR), Chennai, India.
Luke Elizabeth HannaDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis (NIRT), Indian Council of Medical Research (ICMR), Chennai, India.
Indian Council of Medical Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsTo understand the contribution of NAT of MTB and NAT2 of humans in developing INH resistance using

resultsOn the basis of docking results of MTB-NAT, it can be suggested that in comparison to the WT, binding affinity of MT-G207R, was found to be lower with acetyl CoA, and higher with acetyl-INH and INH. In case of MT-NAT2 from humans, the pattern of score with respect to acetyl CoA and acetyl-INH, was similar to MT-NAT of MTB, but revealed a decrease in INH score.

conclusionIn MTB, MT-NAT revealed high affinity towards acetyl-INH, which can be interpreted as increased formation of acetyl-INH, and therefore, may lead to INH resistance through inactivation of INH. Similarly, in MT-NAT2 (rapid acetylators), acetylation occurs rapidly, serving as a possible risk factor for developing INH resistance in humans.

Indexed as

HumansIsoniazidMycobacterium tuberculosisTransferases

Identifiers

PMID28747958
PMCPMC5526952
OpenAlexW2737788473

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.