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Characterization of Bacterial Communities in Feces from Healthy Elderly Volunteers and Hospitalized Elderly Patients by Using Real-Time PCR and Effects of Antibiotic Treatment on the Fecal Microbiota
Open accessAbstract
Fecal bacteria were studied in healthy elderly volunteers (age, 63 to 90 years;n= 35) living in the local community, elderly hospitalized patients (age, 66 to 103;n= 38), and elderly hospitalized patients receiving antibiotic treatment (age, 65 to 100;n= 21). Group- and species-specific primer sets targeting 16S rRNA genes were used to quantitate intestinal bacteria by using DNA extracted from feces and real-time PCR. The principal difference between healthy elderly volunteers and both patient cohorts was a marked reduction in the Bacteroides-Prevotella group following hospitalization. Reductions in bifidobacteria,Desulfovibrio spp.,Clostridium clostridiiforme, and Faecalibacterium prausnitzii were also found in the hospitalized patients. However, total 16S rRNA gene copy numbers (per gram of wet weight of feces) were generally lower in the stool samples of the two groups of hospitalized patients compared to the number in the stool samples of elderly volunteers living in the community, so the relative abundance (percentage of the group- and species-specific rRNA gene copies in relation to total bacterial rRNA gene copies) of bifidobacteria,Desulfovibrio spp.,C. clostridiiforme, and F. prausnitzii did not change. Antibiotic treatment resulted in further reductions in the numbers of bacteria and their prevalence and, in some patients, complete elimination of certain bacterial communities. Conversely, the numbers of enterobacteria increased in the hospitalized patients who did not receive antibiotics, and due to profound changes in fecal microbiotas during antibiotic treatment, the opportunistic species Enterococcus faecalis proliferated.
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“Specific microbial taxa are also associated with reduced frailty in elderly populations, including Bacteroidetes”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Bartosch et al., 2004
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BackgroundMethodAnimals and Humans as Sources of Fecal Indicator Bacteria
Yost, C. K., Diarra, M. S., & Topp, E. (2014) · ASM Press eBooks · doi:10.1128/9781555816865.ch4 · Cited by 18
Ramos, C., Magistro, D., Walton, G., Whitham, A., Camp, N., Poveda, C. G., Gibson, G. R., Hough, J., Kinnear, W., & Hunter, K. A. (2025) · GeroScience · doi:10.1007/s11357-025-01605-w · Cited by 21
Kumar, A., Kheravii, S. K., Ionescu, C., Blanchard, A., Barekatain, R., Bajagai, Y. S., & Wu, S. (2021) · Microorganisms · doi:10.3390/microorganisms9071451 · Cited by 18
Microbiota intestinal y enfermedades inflamatorias del intestino
Guarner, F. (2011) · Gastroenterología y Hepatología · doi:10.1016/j.gastrohep.2010.11.009 · Cited by 18
Immunoprotective Effects of Probiotics in the Elderly
Marx, T. K. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-418680-4.00035-x · Cited by 18
Sepp, E., Smidt, I., Štšepetova, J., Rööp, T., Hütt, P., Rätsep, M., & Mikelsaar, M. (2018) · Journal of Functional Foods · doi:10.1016/j.jff.2018.04.053 · Cited by 18
Characterization of gut dominant microbiota in obese patients with nonalcoholic fatty liver disease
Jin, L.-T., & Xu, M.-Z. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1113643 · Cited by 18
“, 2013), Bac-F (5’-GAAGGTCCCCCACATTG-3’), Bac-R (5’CAATCGGAGTTCTTCGTG-3’), Enco-F (5’-AACCTACCC ATCAGAGGG-3’), Enco-R (5’-GACGTTCAGTTACTAACG-3’), PfraF (5’-GATGGCCTCGCGTCCGATTAG-3’), Pfra-R (5’-CCGAAGACC TTCTTCCTCC-3’), Bif-F (5’-GGGTGGTATGCCGGATGTAA-3’), BifR (5’-GCCATGGACTTTCACACC-3’) (Bartosch et al., 2004), Clos-F…”
Harrington, C. R., Lucchini, S., Ridgway, K. P., Wegmann, U., Eaton, T. J., Hinton, J. C. D., Gasson, M. J., & Narbad, A. (2008) · BMC Microbiology · doi:10.1186/1471-2180-8-195 · Cited by 18
“One area where the coverage could be improved is in the detection of bacteria such as Porphyromonas and Prevotella, which were barely recorded in this study compared to previous findings [ 43 ].”
Wang, Y., Kuang, Y., Zhang, Y., Song, Y., Zhang, X., Lin, Y., Che, L., Xu, S., Wu, D., Xue, B., et al. (2016) · Animal Science Journal · doi:10.1111/asj.12544 · Cited by 18
Fecal Bifidobacterium Levels in Elderly Nursing Home Patients: Are Levels as Expected?
Gueimonde, M., Ouwehand, A., Pitkälä, K., Strandberg, T., Finne-Soveri, H., & Salminen, S. (2010) · Bioscience and Microflora · doi:10.12938/bifidus.29.111 · Cited by 17
The gut microbiome: an emerging epicenter of antimicrobial resistance?
Deshpande, S. V., Sujith, S., Jobby, R., Rajasekharan, S. K., Ravichandran, V., & Solomon, A. P. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1593065 · Cited by 19
Association between diet and fecal microbiota along the first year of life
Gómez‐Martín, M., Saturio, S., Arboleya, S., Herrero-Morín, D., Calzón, M., López, T., González, S., & Gueimonde, M. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111994 · Cited by 20
Exploratory studies of oral and fecal microbiome in healthy human aging
Zhou, X., Wang, B., Demkowicz, P. C., Johnson, J. S., Chen, Y., Spakowicz, D. J., Zhou, Y., Dorsett, Y., Chen, L., Sodergren, E. J., et al. (2022) · Frontiers in Aging · doi:10.3389/fragi.2022.1002405 · Cited by 18
“Additionally, the genus Bacteroides is dominant among the young cohort-related to the microbiome of stool samples, which is consistent with several previous reports (Bartosch et al., 2004; Woodmansey et al., 2004; van Tongeren et al., 2005).”
BackgroundResultInfluentialEl-Baz, A. M., El-Ganiny, A. M., Hellal, D., Anwer, H. M., El-Aziz, H. A. A., Tharwat, I. E., El-Adawy, M. A., Helal, S. E.-D. M., Mohamed, M. T. A., Azb, T. M., et al. (2023) · AMB Express · doi:10.1186/s13568-023-01561-8 · Cited by 17
“F CGGTACCTGACTAAGAAGC 50 429 (Bartosch et al. 2004)R AGTTTGATTCTTGCGAACG Lactobacillus spp.”
Lunedo, R., Alarcon, M. F. F., Carvalho, F. M. S., Furlan, L. R., & Macari, M. (2014) · British Poultry Science · doi:10.1080/00071668.2014.975781 · Cited by 17
“…in a given group can drastically affect the average number of gene copies: (i) the relatively constant 16 S gene copy number in each bacteria group; and (ii) the existing primer validation for several taxa (Walter et al., 2001; Heilig et al., 2002; Bartosch et al., 2004; Rinttila et al., 2004).”
BackgroundA comparison of microbial profiles of different regions of the equine hindgut
Fliegerova, K. O., Mura, E., Mrázek, J., & Moniello, G. (2016) · Livestock Science · doi:10.1016/j.livsci.2016.05.015 · Cited by 19
Navidshad, B., Liang, J. B., Jahromi, M. F., Akhlaghi, A., & Abdullah, N. (2016) · The Journal of Applied Poultry Research · doi:10.3382/japr/pfw029 · Cited by 17
Venieri, D., Chatzisymeon, E., Sofianos, S. S., Politi, E., Xekoukoulotakis, N. P., Katsaounis, A. D., & Mantzavinos, D. (2012) · Environmental Science and Pollution Research · doi:10.1007/s11356-012-0768-5 · Cited by 17
“2.5 Real-time PCR method The primer set for E. faecalis detection and quantification was designed on the basis of 16S rRNA gene sequences available from the GenBank database and according to Bartosch et al. (2004).”
InfluentialTanner, S. A., Lacroix, C., Del’Homme, C., Jans, C., Zihler, A., Bernalier‐Donadille, A., & Chassard, C. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114515002263 · Cited by 19
Effect of feeding level on the composition of the intestinal microbiota in weaned piglets1
Rist, V. T. S., Eklund, M., Bauer, E., Sauer, N., & Mosenthin, R. (2012) · Journal of Animal Science · doi:10.2527/jas.52642 · Cited by 17
“2Corresponding author: rainer.mosenthin@uni-hohenheim.de Enterobacteriaceae, and Bacteroides–Prevotella– Porphyromonas group (Bacteroides group) of feces and ileal digesta were determined by use of real-time PCR.”
BackgroundInfluentialVelayudhan, D. E., Hossain, M. M., Regassa, A., & Nyachoti, C. M. (2018) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2018.05.001 · Cited by 16
Liu, W., Li, Z., Yang, K., Sun, P., & Cai, M. (2021) · Journal of Functional Foods · doi:10.1016/j.jff.2020.104336 · Cited by 16
Wu, Q. D., Zhang, Y., Wang, C., Hou, Y., He, W., Wang, L., Xiong, J., Ren, Z., Wang, H., Sui, B., et al. (2023) · Journal of Virology · doi:10.1128/jvi.00656-23 · Cited by 16
“butyricum (79) in stools were performed by quantitative real-time (qPCR).”
Antibiotic-associated changes in Akkermansia muciniphila alter its effects on host metabolic health
Han, Y., Teng, T. M., Han, J., & Kim, H. S. (2025) · Microbiome · doi:10.1186/s40168-024-02023-4 · Cited by 22
Yuan, Y., Xu, W., Luo, Y., Liu, H., Lü, J., Su, C., & Huang, K. (2011) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.4421 · Cited by 16
Vamanu, E., Pelinescu, D. R., & Avram, I. (2017) · Polish Journal of Food and Nutrition Sciences · doi:10.1515/pjfns-2017-0010 · Cited by 16
Bacterial species to be considered in quality assurance of mice and rats
Hansen, A. K., Nielsen, D. S., Krych, Ł., & Hansen, C. H. F. (2019) · Laboratory Animals · doi:10.1177/0023677219834324 · Cited by 16
Yu, C., Zhang, J., Zhang, H., Chen, Y., Wang, C., Zhang, L., Ding, L., Wang, T. Z., & Yang, Z. (2021) · Poultry Science · doi:10.1016/j.psj.2021.101489 · Cited by 16
Jimeno, R., Brailey, P. M., & Barral, P. (2018) · Journal of Visualized Experiments · doi:10.3791/58481-v · Cited by 16
The Intestinal Microbiota and Probiotics
Forssten, S. D., Lahtinen, S. J., & Ouwehand, A. C. (2011) · Springer eBooks · doi:10.1007/978-94-007-0386-5_2 · Cited by 16
“The microbiota responds to physiological, dietary, and environmental factors (Bartosch et al. 2004), and the response has an effect on the diversity and the individuality of the intestinal microbiota.”
BackgroundWitzig, M., Boguhn, J., Kleinsteuber, S., Fetzer, I., & Rodehutscord, M. (2010) · Anaerobe · doi:10.1016/j.anaerobe.2010.05.002 · Cited by 16
Examination of hydrogen cross-feeders using a colonic microbiota model
Smith, N. W., Shorten, P. R., Altermann, E., Roy, N. C., & McNabb, W. C. (2021) · BMC Bioinformatics · doi:10.1186/s12859-020-03923-6 · Cited by 18
Daneshmand, A., Kumar, A., Kheravii, S. K., Pasquali, G. A. M., & Wu, S. (2023) · Poultry Science · doi:10.1016/j.psj.2023.103055 · Cited by 17
Systemic inflammatory and gut microbiota responses to fracture in young and middle-aged mice
Roberts, J. L., Chiedo, B., & Drissi, H. (2023) · GeroScience · doi:10.1007/s11357-023-00963-7 · Cited by 15
Jo, J., Hu, C., Begum, K., Wang, W., Le, T. M., Agyapong, S., Hanson, B., Ayele, H., Lancaster, C. K., Alam, M. J., et al. (2023) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiad537 · Cited by 15
“The DNA levels of bacterial groups were assessed using specific PCR primers/ conditions as previously described [14–17].”
Method
Metadata
- Authors
- Bartosch, S., Fite, A., Macfarlane, G. T., & McMurdo, M. E. T.
- Affiliations
- University of Dundee (GB)
- MRC Microbiology and Gut Biology Group
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2004-06
- Volume
- 70
- Issue
- 6
- Pages
- 3575-3581
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- PMC
- PMC427772
- OpenAlex
- W2109744701
- Cited by
- 762
- References
- 51
- Citations by year
- 2026: 15 · 2025: 29 · 2024: 12 · 2023: 31 · 2022: 36 · 2021: 51 · 2020: 49 · 2019: 36 · 2018: 38 · 2017: 63 · 2016: 59 · 2015: 65 · 2014: 44 · 2013: 46 · 2012: 46
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Applied and Environmental Microbiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (submittedVersion)
- Funders
- Medical Research Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- fecal microbiota, older adults, hospitalized patients, antibiotic therapy, Bifidobacterium, Desulfovibrio, Faecalibacterium prausnitzii, 16S rRNA gene quantification, Enterobacteriaceae, Enterococcus faecalis, intestinal bacteria, community-acquired infections
- MeSH terms
- Aged, Aged, 80 and over, Anti-Bacterial Agents, Bacteria, Bacterial Infections, DNA, Bacterial, DNA, Ribosomal, Feces, Hospitalization, Humans, RNA, Ribosomal, 16S, Species Specificity, Polymerase Chain Reaction, Ecosystem, DNA Primers, Gene Dosage, Genes, rRNA
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