ClinicalTrials.gg
Enrolling by invitationNCT07818109Updated Sep 14, 2026

One Health Determinants of Rectal Colonization by ESBL-Producing Enterobacterales in the Community

An observational study in Antimicrobial Resistance (AMR), ESBL and Gut Microbiota Dysbiosis, sponsored by Hospital Italiano de Buenos Aires. Enrolling by invitation at 1 site in Argentina. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-09-14.

Sponsored by Hospital Italiano de Buenos Aires · Observational

Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
432
Ages
18 Years and older
Sex
All
01

Study summary

This multicenter cross-sectional observational study aims to determine the prevalence of rectal colonization by extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales among community-dwelling adults in Argentina and to identify biological, clinical, sociocultural, occupational, and environmental factors associated with colonization. Participants will be recruited from sentinel healthcare centers and will undergo collection of rectal swabs, fecal samples, urine samples, and standardized epidemiological questionnaires.

The study is based on a One Health framework and will evaluate potential determinants of antimicrobial resistance, including previous healthcare exposure, antibiotic use, animal contact, occupational exposures, environmental conditions, water access, dietary habits, and pesticide exposure. Biological samples will be stored in an institutional biobank for future molecular, microbiome, resistome, and toxicological analyses. Findings are expected to improve understanding of community-associated antimicrobial resistance and support the development of preventive public health strategies.

Read the detailed description

Antimicrobial resistance (AMR) is recognized as one of the greatest global public health threats. Although healthcare-associated drivers of AMR have been extensively studied, increasing evidence suggests that environmental, occupational, agricultural, socioeconomic, and ecological factors contribute substantially to the emergence and dissemination of resistant microorganisms in the community. The One Health approach recognizes the interconnectedness of human, animal, and environmental health and provides a comprehensive framework for understanding these complex interactions.

Extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales represent one of the most relevant indicators of community-associated antimicrobial resistance. Intestinal colonization by ESBL-producing Enterobacterales serves as a reservoir for subsequent infections and transmission and has been proposed by the World Health Organization as a key surveillance indicator for monitoring antimicrobial resistance across human, animal, and environmental sectors.

This multicenter observational study aims to estimate the prevalence of intestinal colonization by ESBL-producing Enterobacterales among community-dwelling adults from different territorial regions of Argentina and to investigate biological, clinical, sociocultural, occupational, and environmental determinants associated with colonization.

The study is based on the hypothesis that colonization by ESBL-producing Enterobacterales is influenced not only by traditional healthcare-related factors and antibiotic exposure, but also by environmental and occupational determinants, including contact with food-producing animals, agricultural activities, water access, socioeconomic conditions, dietary patterns, and exposure to pesticides. Particular attention will be given to glyphosate exposure because of emerging evidence suggesting potential effects on microbial ecology and selection of resistant bacterial populations.

Participants will undergo collection of epidemiological information through standardized questionnaires addressing sociodemographic characteristics, medical history, medication use, occupational exposures, environmental conditions, dietary habits, animal contact, and other variables potentially related to antimicrobial resistance. Qualitative interviews will also be performed in selected participants to explore contextual and behavioral dimensions that may contribute to antimicrobial resistance emergence and dissemination.

Biological specimens will include fecal samples and urine samples. Microbiological analyses will be performed to identify intestinal colonization by ESBL-producing Enterobacterales. Isolates will undergo microbiological characterization and preservation for future molecular analyses. Fecal and urine specimens will be incorporated into an institutional biobank under established ethical and regulatory standards.

A subset of participants will undergo urinary glyphosate measurements based on environmental vulnerability indicators derived from questionnaire data. Glyphosate quantification will be performed using validated liquid chromatography-tandem mass spectrometry methods. Additional environmental biomarkers may be evaluated in the future depending on funding availability.

Future stages of the project will include integrated multi-omics analyses of fecal samples, including microbiome, resistome, metagenomic, metatranscriptomic, and metabolomic characterization. These analyses aim to investigate the relationship between microbial community composition, antimicrobial resistance determinants, environmental exposures, and intestinal colonization by resistant Enterobacterales.

The study will initially be conducted in two sentinel healthcare institutions representing different territorial contexts in Argentina: Hospital Italiano de Buenos Aires and Hospital J. B. Iturraspe in Santa Fe Province. The long-term objective is to expand the network to additional geographical regions and develop analytical ecological models capable of evaluating interactions between community-level determinants, microbiome composition, environmental exposures, and antimicrobial resistance.

By integrating microbiological, epidemiological, environmental, molecular, and qualitative information under a One Health framework, this study seeks to generate evidence regarding the mechanisms underlying community-associated antimicrobial resistance and to support the development of preventive strategies, surveillance initiatives, and public health interventions aimed at reducing the burden of antimicrobial resistance in Argentina.

02

Conditions studied

  • Antimicrobial Resistance (AMR)
  • ESBL
  • Gut Microbiota Dysbiosis
  • Environmental Exposure
  • Carbapenemase-Producing Enterobacterales (CPE) Colonization
  • Carbapenemase-Producing Enterobacteriaceae
  • Carbapenemase-Producing Enterobacteriaceae (CPE)

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Keywords

  • One Health
  • Antimicrobial Resistance
  • Glyphosate
  • Extended-Spectrum Beta-Lactamase
  • Community Colonization
  • Occupational Exposure
  • Environmental Exposure
  • Pesticides
  • Resistome
  • Microbiome
  • Gut Microbiota
  • CPE
03

In context

Dysbiosis

187 studies on the registry are indexed under Dysbiosis; 64 are open to participants now.

This study's planned enrollment of 432 is above the median of 82 across 51 observational studies indexed under Dysbiosis.

Browse Dysbiosis studies →

Lead sponsor

Hospital Italiano de Buenos Aires is the lead sponsor of 133 studies on the registry; 24 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The study population consists of community-dwelling adults from selected territorial regions of Argentina recruited through sentinel healthcare facilities. Participants will be identified among adults attending outpatient clinics, emergency departments, or hospitalized for less than 24 hours, as well as accompanying family members or caregivers when applicable. Recruitment will be performed using a quota-based sampling strategy designed to achieve representation according to age, sex, and geographic area. The initial phase of the study will be conducted at Hospital Italiano de Buenos Aires and Hospital J. B. Iturraspe (Santa Fe Province), representing distinct territorial and socio-environmental contexts.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Adults aged 18 years or older.
  • Resident for at least 1 year in one of the territorial areas included in the study.
  • Community-dwelling individuals attending participating healthcare facilities (outpatient clinics, emergency departments, or hospitalized for less than 24 hours) or their accompanying family members/caregivers.
  • Able and willing to provide .
  • Able to provide fecal and urine samples.

Exclusion criteria

Exclusion Criteria:

  • Hospitalization within the previous 6 months.
  • Antibiotic treatment within the previous 6 months.
  • Current or recent oncologic treatment, immunotherapy, or therapy within the previous 6 months.
  • Use of laxatives within the previous 15 days.
  • Pregnancy or breastfeeding.
  • Inability to provide .
  • Residence outside the study territorial areas.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Immunosuppression

A weakened immune system. It can come from an illness, such as HIV or some blood cancers, or from medicines that turn the immune system down, for example after an organ transplant or for an autoimmune disease; steroids at higher doses count.

Read whether the line is about a condition or about medicines, and which medicines and doses it means.

05

Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
432 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Participants Colonized by ESBL-Producing Enterobacterales

    Community-dwelling adults with intestinal colonization by extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales identified through microbiological analysis of fecal samples.

06

What researchers measure

Primary outcomes

  1. Prevalence of Intestinal Colonization by ESBL-Producing Enterobacterales

    Proportion of participants with intestinal colonization by extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales identified through microbiological analysis of fecal samples.

    Time frame: Baseline (at enrollment)

Secondary outcomes

  1. Prevalence of Carbapenemase-Producing Enterobacterales Colonization

    Proportion of participants colonized by carbapenemase-producing Enterobacterales detected through microbiological analysis.

    Time frame: Baseline (at enrollment)

  2. Urinary Glyphosate Detection

    Frequency and concentration of urinary glyphosate among participants selected according to environmental vulnerability criteria.

    Time frame: At enrollment

  3. Gut Microbiota Characterization

    Characterization of gut microbiota composition and diversity in stored fecal samples using molecular and multi-omics approaches, subject to funding availability.

    Time frame: Up to 5 years after sample collection

  4. Antimicrobial Resistance Gene Detection (Resistome)

    Detection and characterization of antimicrobial resistance genes in fecal samples and bacterial isolates.

    Time frame: Up to 5 years after sample collection

  5. Biobank Collection Development

    Creation and maintenance of a biobank collection including fecal samples, urine samples, bacterial isolates, and extracted DNA for future One Health research.

    Time frame: Through study completion, an average of 2 years

  6. Odds Ratio for Occupational Animal Contact and ESBL Colonization

    Adjusted odds ratio (OR, 95% CI) for the association between occupational contact with food-producing animals (livestock, poultry, swine, or veterinary activities) and ESBL colonization status, derived from multivariable logistic regression using data collected through the structured epidemiological questionnaire.

    Time frame: Time Frame: Baseline (at enrollment)

  7. Odds Ratio for Water Source Access and ESBL Colonization

    Adjusted odds ratio (OR, 95% CI) for the association between household water source and sanitation conditions and ESBL colonization status, derived from multivariable logistic regression using data collected through the structured epidemiological questio

    Time frame: Time Frame: Baseline (at enrollment)

  8. Odds Ratio for Dietary Habits and ESBL Colonization

    Adjusted odds ratio (OR, 95% CI) for the association between dietary habits (consumption of animal-derived products and food sourcing practices) and ESBL colonization status, derived from multivariable logistic regression using data collected through the structured epidemiological questionnaire.

    Time frame: Time Frame: Baseline (at enrollment)

  9. Odds Ratio for Socioeconomic Indicators and ESBL Colonization

    Adjusted odds ratio (OR, 95% CI) for the association between socioeconomic indicators (educational level and household socioeconomic status) and ESBL colonization status, derived from multivariable logistic regression using data collected through the structured epidemiological questionnaire.

    Time frame: Time Frame: Baseline (at enrollment)

  10. Odds Ratio for Healthcare-Related Exposures and ESBL Colonization

    Adjusted odds ratio (OR, 95% CI) for the association between healthcare-related exposures (previous hospitalization, prior antibiotic use, and healthcare occupation) and ESBL colonization status, derived from multivariable logistic regression using data collected through the structured epidemiological questionnaire.

    Time frame: Time Frame: Baseline (at enrollment)

  11. Odds Ratio for Environmental Exposure Indicators and ESBL Colonization

    Adjusted odds ratio (OR, 95% CI) for the association between environmental vulnerability indicators (housing characteristics and pesticide exposure indicators) and ESBL colonization status, derived from multivariable logistic regression using data collected through the structured epidemiological questionnaire.

    Time frame: Time Frame: Baseline (at enrollment)

07

Study locations

1 site
08

References and documents

Publications

  • Bressan IG, Llesuy SF, Rodriguez C, Ferloni A, Dawidowski AR, Figar SB, Gimenez MI. Optimization and validation of a liquid chromatography-tandem mass spectrometry method for the determination of glyphosate in human urine after pre-column derivatization with 9-fluorenylmethoxycarbonyl chloride. J Chromatogr B Analyt Technol Biomed Life Sci. 2021 May 1;1171:122616. doi: 10.1016/j.jchromb.2021.122616. Epub 2021 Mar 5. PubMed 33744598 ↗
  • Raoult D, Hadjadj L, Baron SA, Rolain JM. Role of glyphosate in the emergence of antimicrobial resistance in bacteria? J Antimicrob Chemother. 2021 Jun 18;76(7):1655-1657. doi: 10.1093/jac/dkab102. PubMed 33893490 ↗
  • Mackenzie JS, Jeggo M. The One Health Approach-Why Is It So Important? Trop Med Infect Dis. 2019 May 31;4(2):88. doi: 10.3390/tropicalmed4020088. PubMed 31159338 ↗
  • Aslam B, Khurshid M, Arshad MI, Muzammil S, Rasool M, Yasmeen N, Shah T, Chaudhry TH, Rasool MH, Shahid A, Xueshan X, Baloch Z. Antibiotic Resistance: One Health One World Outlook. Front Cell Infect Microbiol. 2021 Nov 25;11:771510. doi: 10.3389/fcimb.2021.771510. eCollection 2021. PubMed 34900756 ↗
  • Antimicrobial Resistance Collaborators. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet. 2022 Feb 12;399(10325):629-655. doi: 10.1016/S0140-6736(21)02724-0. Epub 2022 Jan 19. PubMed 35065702 ↗

Related links

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Undecided — The investigators have not yet determined whether individual participant data (IPD) will be shared. Future data sharing decisions will depend on participant consent, institutional policies, ethical approvals, data governance considerations, and the nature of planned microbiome, resistome, environmental exposure, and biobank-related analyses. Any future sharing of de-identified data will be conducted in accordance with applicable regulations and ethical requirements.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Jul 2025 (actual). Primary completion is estimated for Jul 2027, 24 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Jul 2, 2026
First posted
Sep 14, 2026
StartActual
Jul 1, 2025
Primary completionEst.
Jul 31, 2027
CompletionEst.
Aug 31, 2027
Last update
Sep 14, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 14, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07818109
Collaborators
National Scientific and Technical Research Council (CONICET), Argentina
Responsible party
SILVANA FIGAR (Principal Investigator, Hospital Italiano de Buenos Aires) — Principal investigator
First posted
Sep 14, 2026
Start date
Jul 1, 2025
Primary completion
Jul 31, 2027 (estimated)
Completion
Aug 31, 2027 (estimated)
Last update
Sep 14, 2026

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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