An evaluation of methods to assess the effect of antimicrobial residues on the human gut flora

Autor: Denis E. Corpet
Přispěvatelé: Institut National de la Recherche Agronomique - INRA (FRANCE), Ecole Nationale Vétérinaire de Toulouse - ENVT (FRANCE), ProdInra, Migration, Xénobiotiques, Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)
Rok vydání: 1993
Předmět:
Antimicrobial drug resistance
Flora
Antibiotic resistance
[SDV]Life Sciences [q-bio]
Oxytetracycline
Drug resistance
Toxicology
Mice
Methods
ComputingMilieux_MISCELLANEOUS
Microbiote
Human flora associated mice
0303 health sciences
biology
Statistics
Drug Resistance
Microbial

General Medicine
Antimicrobial
Microbiologie et Parasitologie
Anti-Bacterial Agents
3. Good health
Intestines
[SDV] Life Sciences [q-bio]
Foods
Veterinary
Research Design
Human gut flora
medicine.drug
Enterobacteria
Germfree mice
Assessment
R plamid
Microbiology
03 medical and health sciences
Dogs
In vivo
medicine
Animals
Humans
Intestinal microflora
Animal model
Intestinal ecosystem
Feces
030304 developmental biology
Bacteria
General Veterinary
030306 microbiology
E. coli
Minimum inhibitory concentrations
biology.organism_classification
Human trials
Drug Residues
Antimicrobial residues
Rats
Barrier effect
RESISTANCE
Biomarkers
Bacterial contamination
Zdroj: Veterinary Microbiology
Veterinary Microbiology, Elsevier, 1993, 35, pp.199-212
ISSN: 0378-1135
Popis: 1. Barrier effect. Relevant models should include an anaerobic dominant flora that antagonizes minor bacterial populations such as drug resistant E. coli. 2. Anaerobes vs. aerobes. Aerobe counts are more precise and much less time consuming than anaerobe counts. Minor populations of drug resistant aerobes are sensitive markers of the ecosystem balance, and are directly relevant to the potential risk of antimicrobial residues. 3. MIC vs. plate counts. The determination of minimum inhibitory concentrations ( MIC ) of selected clones is time consuming, does not detect subdominant resistance (less than 1 %), and the MIC shift is difficult to test statistically. In contrast, direct counts of bacteria on drug supplemented media allows a rapid measure of minor resistant populations. 4. Statistics: Most published designs do not include adequate statistical evaluation. This is critical for trials made in conventional humans and animals, where data are highly variable. 5. Human trials: The lowest concentration of antibiotic tested in human volunteers (2mg oxytetracycline /d for 7d in 6 subjects) significantly increased the proportion of resistant fecal enterobacteria (P=0.05). However, the huge day-to-day and inter-individual variations of human floras make this evidence rather weak. 6. Gnotobiotic mice inoculated with human flora are living isolated models in which the effect of any antimicrobial on the human gut flora can be tested. This in vivo model does include the barrier effect of dominant anaerobes. Inter-individual and day-to-day variations of bacterial populations are lower in those mice than in humans. 7. Most resistant enterobacteria in the human gut of untreated people come from bacterial contamination of raw foods. The relative contribution of residues in selecting antibiotic resistance seems to be low when compared to bacterial contamination.
Databáze: OpenAIRE