Evidence map›Paper›PMID 26400221›Full record

ArticleBMC complementary and alternative medicine2015

Quantitative structure-activity relationship of molecules constituent of different essential oils with antimycobacterial activity against Mycobacterium tuberculosis and Mycobacterium bovis.

Sergio Andrade-Ochoa, Guadalupe Virginia Nevárez-Moorillón, Luvia E Sánchez-Torres, Manuel Villanueva-García, Blanca E Sánchez-Ramírez, Luz María Rodríguez-Valdez, Blanca E Rivera-Chavira

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
14.9field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 117 citations in OpenAlex.

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  16. Frontiers in cellular and infection microbiology · 2021
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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

7 authors at 3 institutions in 1 country.

Sergio Andrade-OchoaFacultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Circuito Universitario S/N. Campus Universitario II, Chihuahua, 31125, Chih., México.
Guadalupe Virginia Nevárez-MoorillónFacultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Circuito Universitario S/N. Campus Universitario II, Chihuahua, 31125, Chih., México.
Luvia E Sánchez-TorresEscuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Prolongación de Carpio y Plan de Ayala S/N, Col. Santo Tomas 11340, México, DF, México.
Manuel Villanueva-GarcíaAsociación de Jubilados de la Universidad de Guanajuato, Guanajuato, Gto., México.
Blanca E Sánchez-RamírezFacultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Circuito Universitario S/N. Campus Universitario II, Chihuahua, 31125, Chih., México.
Luz María Rodríguez-ValdezFacultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Circuito Universitario S/N. Campus Universitario II, Chihuahua, 31125, Chih., México.
Blanca E Rivera-ChaviraFacultad de Ciencias Químicas, Universidad Autónoma de Chihuahua, Circuito Universitario S/N. Campus Universitario II, Chihuahua, 31125, Chih., México. bchavira@uach.mx.
Autonomous University of Chihuahua · MXInstituto Politécnico Nacional · MXUniversidad de Guanajuato · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEssential oils and their constituents are commonly known for their antibacterial, antifungal and antiparasitic activity, and there are also reports on the antimycobacterial properties, but more experimental data are needed for the description of the mechanism of action or structural (and molecular) properties related to the antimicrobial activity.

methodsTwenty-five constituents of essential oils were evaluated against Mycobacterium tuberculosis H37Rv and Mycobacterium bovis AN5 by the Alamar Blue technique. Twenty compounds were modeled using in silico techniques descriptor generation and subsequent QSAR model building using genetic algorithms. The p-cymene, menthol, carvacrol and thymol were studied at the quantum mechanical level through the mapping of HOMO and LUMO orbitals. The cytotoxic activity against macrophages (J774A) was also evaluated for these four compounds using the Alamar Blue technique.

resultsAll compounds tested showed to be active antimicrobials against M. tuberculosis. Carvacrol and thymol were the most active terpenes, with MIC values of 2.02 and 0.78 μg/mL respectively. Cinnamaldehyde and cinnamic acid were the most active phenylpropanes with MIC values of 3.12 and 8.16 μg/mL respectively. The QSAR models included the octanol-water partition (LogP) ratio as the molecular property that contributes the most to the antimycobacterial activity and the phenolic group (nArOH) as the major structural element.

conclusionsThe description of the molecular properties and the structural characteristics responsible for antimycobacterial activity of the compounds tested, were used for the development of mathematical models that describe structure-activity relationship. The identification of molecular and structural descriptors provide insight into the mechanisms of action of the active molecules, and all this information can be used for the design of new structures that could be synthetized as potential new antimycobacterial agents.

Indexed as

Anti-Bacterial AgentsAntifungal AgentsAnti-Infective AgentsCymenesMicrobial Sensitivity TestsMonoterpenesMycobacterium bovisMycobacterium tuberculosisOils, VolatileQuantitative Structure-Activity RelationshipTerpenes4-cymeneAnti-Bacterial AgentsAntifungal AgentsAnti-Infective AgentscarvacrolCymenesMonoterpenesOils, VolatileTerpenes

Identifiers

PMID26400221
PMCPMC4579641
OpenAlexW2171420259

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.