 Drug Resistance, Microbial
"Drug Resistance, Microbial" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The ability of microorganisms, especially bacteria, to resist or to become tolerant to chemotherapeutic agents, antimicrobial agents, or antibiotics. This resistance may be acquired through gene mutation or foreign DNA in transmissible plasmids (R FACTORS).
| Descriptor ID |
D004352
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| MeSH Number(s) |
G06.225 G07.690.773.984.269
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| Concept/Terms |
Drug Resistance, Microbial- Drug Resistance, Microbial
- Drug Resistances, Microbial
- Antimicrobial Drug Resistance
- Antimicrobial Drug Resistances
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Below are MeSH descriptors whose meaning is more general than "Drug Resistance, Microbial".
Below are MeSH descriptors whose meaning is more specific than "Drug Resistance, Microbial".
This graph shows the total number of publications written about "Drug Resistance, Microbial" by people in this website by year, and whether "Drug Resistance, Microbial" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1994 | 0 | 1 | 1 | | 1995 | 1 | 0 | 1 | | 1996 | 0 | 5 | 5 | | 1997 | 0 | 1 | 1 | | 1998 | 0 | 3 | 3 | | 1999 | 1 | 0 | 1 | | 2000 | 0 | 2 | 2 | | 2001 | 0 | 2 | 2 | | 2003 | 1 | 2 | 3 | | 2004 | 0 | 1 | 1 | | 2005 | 2 | 0 | 2 | | 2006 | 1 | 0 | 1 | | 2008 | 1 | 1 | 2 | | 2011 | 0 | 1 | 1 | | 2012 | 0 | 1 | 1 | | 2013 | 1 | 0 | 1 | | 2014 | 1 | 0 | 1 | | 2015 | 0 | 1 | 1 | | 2016 | 2 | 1 | 3 | | 2017 | 1 | 1 | 2 | | 2018 | 1 | 1 | 2 | | 2019 | 1 | 1 | 2 | | 2020 | 1 | 4 | 5 | | 2021 | 1 | 0 | 1 | | 2023 | 0 | 1 | 1 | | 2024 | 0 | 1 | 1 |
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Below are the most recent publications written about "Drug Resistance, Microbial" by people in Profiles.
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Chu VT, Tsitsiklis A, Mick E, Ambroggio L, Kalantar KL, Glascock A, Osborne CM, Wagner BD, Matthay MA, DeRisi JL, Calfee CS, Mourani PM, Langelier CR. The antibiotic resistance reservoir of the lung microbiome expands with age in a population of critically ill patients. Nat Commun. 2024 Jan 02; 15(1):92.
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Kirsch JM, Ely S, Stellfox ME, Hullahalli K, Luong P, Palmer KL, Van Tyne D, Duerkop BA. Targeted IS-element sequencing uncovers transposition dynamics during selective pressure in enterococci. PLoS Pathog. 2023 06; 19(6):e1011424.
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Palacios Araya D, Palmer KL, Duerkop BA. CRISPR-based antimicrobials to obstruct antibiotic-resistant and pathogenic bacteria. PLoS Pathog. 2021 07; 17(7):e1009672.
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Costard S, Pouzou JG, Belk KE, Morley PS, Schmidt JW, Wheeler TL, Arthur TM, Zagmutt FJ. No Change in Risk for Antibiotic-Resistant Salmonellosis from Beef, United States, 2002-2010. Emerg Infect Dis. 2020 09; 26(9):2108-2117.
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Russell JN, Yost CK. Alternative, environmentally conscious approaches for removing antibiotics from wastewater treatment systems. Chemosphere. 2021 Jan; 263:128177.
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Schilcher K, Horswill AR. Staphylococcal Biofilm Development: Structure, Regulation, and Treatment Strategies. Microbiol Mol Biol Rev. 2020 08 19; 84(3).
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Wunderink RG, Srinivasan A, Barie PS, Chastre J, Dela Cruz CS, Douglas IS, Ecklund M, Evans SE, Evans SR, Gerlach AT, Hicks LA, Howell M, Hutchinson ML, Hyzy RC, Kane-Gill SL, Lease ED, Metersky ML, Munro N, Niederman MS, Restrepo MI, Sessler CN, Simpson SQ, Swoboda SM, Guillamet CV, Waterer GW, Weiss CH. Antibiotic Stewardship in the Intensive Care Unit. An Official American Thoracic Society Workshop Report in Collaboration with the AACN, CHEST, CDC, and SCCM. Ann Am Thorac Soc. 2020 05; 17(5):531-540.
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Doster E, Lakin SM, Dean CJ, Wolfe C, Young JG, Boucher C, Belk KE, Noyes NR, Morley PS. MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data. Nucleic Acids Res. 2020 01 08; 48(D1):D561-D569.
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Burcham LR, Spencer BL, Keeler LR, Runft DL, Patras KA, Neely MN, Doran KS. Determinants of Group B streptococcal virulence potential amongst vaginal clinical isolates from pregnant women. PLoS One. 2019; 14(12):e0226699.
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Lakin SM, Kuhnle A, Alipanahi B, Noyes NR, Dean C, Muggli M, Raymond R, Abdo Z, Prosperi M, Belk KE, Morley PS, Boucher C. Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences. Commun Biol. 2019; 2:294.
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