Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-28T17:09:55.186Z Has data issue: false hasContentIssue false
  • English
  • Français

Effects of ceftriaxone on faecal flora: analysis by micromorphometry

Published online by Cambridge University Press:  19 October 2009

B. C. Meijer ,
G. J. Kootstra ,
D. G. Geertsma  and
M. H. F. Wilkinson
B. C. Meijer
Affiliation:
Laboratory for Medical Microbiology, State University, Groningen, Oostersingel 59, 9713 EZ Groningen, The Netherlands
G. J. Kootstra
Affiliation:
Laboratory for Medical Microbiology, State University, Groningen, Oostersingel 59, 9713 EZ Groningen, The Netherlands
D. G. Geertsma
Affiliation:
Laboratory for Medical Microbiology, State University, Groningen, Oostersingel 59, 9713 EZ Groningen, The Netherlands
M. H. F. Wilkinson
Affiliation:
Laboratory for Medical Microbiology, State University, Groningen, Oostersingel 59, 9713 EZ Groningen, The Netherlands
Rights & Permissions [Opens in a new window]

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In order to elucidate the effect of ceftriaxone therapy on the morphology of gut microflora, 11 human volunteers were treated with ceftriaxone, 1 g daily, given intramuscularly in one dose. Treatment continued for 5 days. Faecal microflora was analysed by digital image processing before, during and after the treatment period.

We derived simple numerical parameters which describe the morphologic composition of the flora. They were significantly influenced by the antibiotic, and returned to their baseline values more than 7 days after treatment was stopped. The procedure holds promise for clinical application.

Type
Research Article
Information
Epidemiology & Infection , Volume 106 , Issue 3 , June 1991 , pp. 513 - 521
Copyright
Copyright © Cambridge University Press 1991

References

REFERENCES

1.van der Waaij, D, Berghuis-de Vries, JM, Lekkerkerk-van der Wees, JEC. Colonization resistance of the digestive tract in conventional and antibiotic-treated mice. J Hyg 1971; 69: 405.CrossRefGoogle ScholarPubMed
2.Meijer-Severs, GJ, Joshi, JH. The effect of new broad-spectrum antibiotics on fecal flora of cancer patients. J Antimicrob Chemother 1989; 24: 605–13.CrossRefGoogle ScholarPubMed
3.Louie, Th J, Chubb, H, Bow, EJ, Conly, JM, Harding, GKM, Rayner, E, James, M.Preservation of colonization resistance parameters during empiric therapy with aztreonam in the febrile neutropenic patient. Rev Infect Dis 1985, 7 Suppl: 4: S747–S761.CrossRefGoogle Scholar
4.Manson, WL, Welling, GW, Heidt, PJ. The influence of cephradine on the anaerobic flora of the colon. Antonie van Leeuwenhoek 1981; 47: 477–9.CrossRefGoogle Scholar
5.Ambrose, NS, Johnson, M, Burdon, DW, Keighley, MRB. The influence of single dose intravenous antibiotics on faecal flora and emergence of Clostridium difficile. J Antimicrob Chemother 1985; 15: 319–26.CrossRefGoogle ScholarPubMed
6.Nord, CE, Bergen, T, Thorsteinsson, SB. Impact of ticarcillin/clavulanate on the intestinal microflora. J Antimicrob Chemother 1989; 24 Suppl B: 221–6.CrossRefGoogle ScholarPubMed
7.Brumfitt, W, Franklin, I, Grady, D, Hamilton-Miller, JMT. Effect of amoxicillin-clavulanate and cephradine on the fecal flora of healthy volunteers not exposed to an hospital environment. Antimicrob Chemother 1986; 30: 335–7.CrossRefGoogle ScholarPubMed
8.Benno, Y, Shiragami, N, Uchida, K, Yoshida, T, Mitsuoka, T.Effect of moxalactam on human fecal microflora. Antimicrob Ag Chemother 1986, 29, 175–8.CrossRefGoogle ScholarPubMed
9.Meijer-Severs, GJ, van Santen, E.Short-chain fatty acid and organic acid concentrations in feces of 10 10 human volunteers and their correlation with anaerobic cultural counts over a 15-month period. Scand J Gastroenterol 1989; 24: 1278–80.CrossRefGoogle Scholar
10.Welling, GW, Stege, GJJ, Meijer-Severs, GJ. β-Aspartylpeptidase activity, a microflora associated characteristic (MAC); its presence in different strains of anaerobic bacteria. Microb Ecol Hlth Dis 1988; 1: 45–9.Google Scholar
11.Höverstad, T, Carlstedt-Djuke, B, Lingaas, E, Norin, E, Saxerholt, H, Steinbakk, M, Midtvedt, T.Influence of oral intake of seven different antibiotics on faecal short-chain fatty acid excretion in healthy subjects. Scand J Gastroenterol, 1986; 21: 997–1003.CrossRefGoogle ScholarPubMed
12.Gonzalez, RC, Wintz, P.Digital image processing. Reading, Massachusetts: Addison- Wesley, 1977.Google Scholar
13.Serra, J.Image analysis and mathematical morphology. London: Academic Press, 1982.Google Scholar
14.Meijer, BC, Kootstra, GJ, Wilkinson, MHF. A theoretical and practical investigation into the characterization of bacterial species by image analysis. Binary 1990, 2: 21–31.Google Scholar
15.Singh, A, Pyle, BH, McFeters, GA. Rapid enumeration of viable bacteria by image analysis. J Microbiol Meth 1989; 10: 91–101.CrossRefGoogle ScholarPubMed
16.Goldstein, E, Donovan, RM, Kim, Y.Applications of microscopic image analysis in infectious diseases. Rev Infect Dis 1988; 10: 92–102.CrossRefGoogle ScholarPubMed
17.Sjollema, J, Busscher, HJ, Weerkamp, AJ. Realtime enumeration of adhering microorganisms in a parallel plate flow cell using automated image analysis. J of Microbiol Meth 1989; 9: 73–8.CrossRefGoogle Scholar
18.Cruickshank, R, Duguid, P, Marmion, BP, Swain, RHA. Staining methods. In: Cruickshank, R, Duguid, P., Marmion, BP, Swain, RHA, eds, Medical microbiology, 12th ed.Edinburgh: Churchill Livingstone, 1975; 33–4.Google Scholar
19.Kittler, J, Illingworth, J, Föglein, J.Threshold selection based on a simple image statistic. Computer vision, graphics, and image processing, 1985; 30: 125–47.CrossRefGoogle Scholar
20.Lehmann, EL. Nonparametrics: Statistics based on ranks. San Francisco: Holden-Day, 1975.Google Scholar