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Exploring Phytochemicals for Combating Antibiotic Resistance in Microbial Pathogens
Open accessAbstract
Antibiotic resistance or microbial drug resistance is emerging as a serious threat to human healthcare globally, and the multidrug-resistant (MDR) strains are imposing major hurdles to the progression of drug discovery programs. Newer antibiotic-resistance mechanisms in microbes contribute to the inefficacy of the existing drugs along with the prolonged illness and escalating expenditures. The injudicious usage of the conventional and commonly available antibiotics in human health, hygiene, veterinary and agricultural practices is proving to be a major driver for evolution, persistence and spread of antibiotic-resistance at a frightening rate. The drying pipeline of new and potent antibiotics is adding to the severity. Therefore, novel and effective new drugs and innovative therapies to treat MDR infections are urgently needed. Apart from the different natural and synthetic drugs being tested, plant secondary metabolites or phytochemicals are proving efficient in combating the drug-resistant strains. Various phytochemicals from classes including alkaloids, phenols, coumarins, terpenes have been successfully demonstrated their inhibitory potential against the drug-resistant pathogens. Several phytochemicals have proved effective against the molecular determinants responsible for attaining the drug resistance in pathogens like membrane proteins, biofilms, efflux pumps and bacterial cell communications. However, translational success rate needs to be improved, but the trends are encouraging. This review highlights current knowledge and developments associated challenges and future prospects for the successful application of phytochemicals in combating antibiotic resistance and the resistant microbial pathogens.
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“T cell population reduction and Th1 cytokine upregulation in chronically stressed mice were corrected by aqueous root extract of WS [156].”
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Metadata
- Authors
- Khare, T., Anand, U., Dey, A., Assaraf, Y. G., Chen, Z.-S., Liu, Z., & Kumar, V.
- Affiliations
- Savitribai Phule Pune University (IN)
- Ben-Gurion University of the Negev (IL)
- Presidency University (IN)
- Technion – Israel Institute of Technology (IL)
- St. John's University (US)
- Weifang Medical University (CN)
- Corresponding author
- Chen, Zhe-Sheng
- Liu, Zhijun
- Kumar, Vinay
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2021-07-21
- Volume
- 12
- Pages
- 720726-720726
- ISSN
- 1663-9812 (ISSN-L)
- PMC
- PMC8334005
- OpenAlex
- W3187946032
- Cited by
- 281
- References
- 198
- Citations by year
- 2026: 43 · 2025: 80 · 2024: 66 · 2023: 50 · 2022: 33 · 2021: 8
- FWCI
- 3.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Pharmacology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Science Foundation of Shandong Province
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Essential Oils and Antimicrobial Activity
- Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antimicrobial agents and applications
- Keywords
- phytochemicals, antibiotic resistance, multidrug-resistant pathogens, plant secondary metabolites, alkaloids, phenols, coumarins, terpenes, efflux pumps, biofilm, membrane proteins
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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