Evidence map›Paper›PMID 37393246›Full record

ArticleBMC complementary medicine and therapies2023

In-silico and in-vitro assessments of some fabaceae, rhamnaceae, apocynaceae, and anacardiaceae species against Mycobacterium tuberculosis H37Rv and triple-negative breast cancer cells.

Kudakwashe Nyambo, Francis Adu-Amankwaah, Kudzanai Ian Tapfuma, Lucinda Baatjies, Lauren Julius, Liezel Smith, Mkhuseli Ngxande, Krishna Govender, Lawrence Mabasa, Afsatou Traore and 3 more

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In one paragraph

Article in BMC complementary medicine and therapies, 2023. 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
–field-weighted citation impact
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.

  1. Review
  2. Plants (Basel, Switzerland) · 2025
    Review
  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

13 authors.

Kudakwashe Nyambo *DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Francis Adu-Amankwaah *DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Kudzanai Ian TapfumaDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Lucinda BaatjiesDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Lauren JuliusDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Liezel SmithDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Mkhuseli NgxandeComputer Science Division, Department of Mathematical Sciences, Faculty of Science University of Stellenbosch, Matieland, South Africa.
Krishna GovenderDepartment of Chemical Sciences, University of Johannesburg, Doornfontein Campus, P. O. Box 17011, Johannesburg, 2028, South Africa.
Lawrence MabasaBiomedical Research and Innovation Platform (BRIP), South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
Afsatou TraoreDepartment of Biochemistry & Microbiology, University of Venda, Thohoyandou, South Africa.
Maano Valerie MasiphephethuDepartment of Biochemistry & Microbiology, University of Venda, Thohoyandou, South Africa.
Idah Sithole NiangDepartment of Biotechnology and Biochemistry, University of Zimbabwe, B064, Mount Pleasant, Harare, Zimbabwe.
Vuyo MavumengwanaDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. vuyom@sun.ac.za.

Funding

South African Medical Research Council NRF GRANT UID 129364
6 · The paper itself

Abstract

Medicinal plants play a huge role in the treatment of various diseases in the Limpopo province (South Africa). Traditionally, concoctions used for treating tuberculosis and cancer are sometimes prepared from plant parts naturally occurring in the region, these include (but not limited to) Schotia brachypetala, Rauvolfia caffra, Schinus molle, Ziziphus mucronate, and Senna petersiana. In this study, the aim was to evaluate the potential antimycobacterial activity of the five medicinal plants against Mycobacterium smegmatis mc

Indexed as

AnacardiaceaeApocynaceaeFabaceaeMycobacterium tuberculosisRhamnaceaeTriple Negative Breast NeoplasmsTuberculosisHumansTandem Mass SpectrometryAntioxidantsFlow cytometryLC-QTOF-MS/MSMM-GBSAMolecular dynamics simulationsMycobacterium tuberculosisRauvolfia caffraSchinus molleTriple-negative breast cancerVirtual screening

Identifiers

PMID37393246
PMCPMC10314437

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Registered trials

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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.