Characterization of metal(loid)s and antibiotic resistance in bacteria of human gut microbiota from chronic kidney disease subjects Original paper

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

    Read More

November 28, 2025

  • Chronic Kidney Disease (CKD)
    Chronic Kidney Disease (CKD)

    Dysbiosis in chronic kidney disease (CKD) reflects a shift toward reduced beneficial taxa and increased pathogenic, uremic toxin-producing species, driven by a bidirectional interaction in which the uremic environment disrupts microbial composition and dysbiotic metabolites accelerate renal deterioration.

Researched by:

  • Dr. Umar ID
    Dr. Umar

    User avatarClinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

    Read More

Last Updated: 2025-11-27

Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.

Dr. Umar

Clinical Pharmacist and Clinical Pharmacy Master’s candidate focused on antibiotic stewardship, AI-driven pharmacy practice, and research that strengthens safe and effective medication use. Experience spans digital health research with Bloomsbury Health (London), pharmacovigilance in patient support programs, and behavioral approaches to mental health care. Published work includes studies on antibiotic use and awareness, AI applications in medicine, postpartum depression management, and patient safety reporting. Developer of an AI-based clinical decision support system designed to enhance antimicrobial stewardship and optimize therapeutic outcomes.

What was studied?

This study investigated chronic kidney disease microbiome resistance, focusing on how metal(loid) exposure and antibiotic pressure shape resistance phenotypes in gut bacteria of CKD patients. The authors characterized bacterial isolates from stool samples across CKD stages, examining their tolerance to arsenic, cadmium, mercury, and lead, as well as their antibiotic resistance patterns. They used culture-based selection on media supplemented with metal(loid)s, followed by antibiotic susceptibility testing and 16S rRNA amplicon sequencing to identify taxa enriched under these selective pressures. Additionally, qPCR targeting a panel of resistance genes evaluated the abundance of microbial genetic determinants associated with both antibiotic and metal(loid) resistance. The study provides mechanistic insight into how progressive renal dysfunction, combined with common exposures such as contaminated tap water and frequent antibiotic use, drives dysbiosis and shapes the gut resistome.

Who was studied?

Participants included sixteen adults divided into four groups: healthy controls and individuals with CKD stages 3, 4, and 5. Each group contained four subjects. All CKD participants were classified based on estimated glomerular filtration rate (eGFR) criteria, and stage 5 subjects included individuals receiving renal replacement therapy. Participants with confounding gastrointestinal, inflammatory, malignant, or immune disorders were excluded to ensure that microbiome shifts reflected CKD pathophysiology rather than unrelated comorbidities. Stool samples—processed aerobically on YCFAm medium—served as the biological source for microbiological isolation, phenotyping, and genomic analyses. Clinical and anthropometric parameters were recorded, although the main analytic focus remained on microbial behavior and genetic signatures.

Most important findings

A central finding is that CKD3 subjects retained a broader range of metal(loid)-resistant bacteria, predominantly Firmicutes and Proteobacteria, mirroring patterns. These isolates frequently displayed co-resistance to antibiotics—including ampicillin, ciprofloxacin, cefazolin, gentamicin, and ceftazidime—especially when metal(loid)s were present at sublethal concentrations. Bacillus spp. and Pseudomonas spp. were consistently enriched, showing multidrug-resistant phenotypes under arsenic and lead exposure. Notably, qPCR revealed a progressive loss of resistance gene diversity across CKD stages. Stage 3 samples retained cadA2k, cadA3k, and arsC (metal resistance) and genes such as strB, floR, arr2, and acrB (antibiotic resistance), while stage 5 samples showed marked depletion, retaining only qnrB1, dhfr1, floR, merA, and cadA2k.

A representative summary of microbial–gene associations is shown below:

Microbial FeatureAssociated Resistance Marker
Bacillus & Pseudomonas enrichmentMultidrug antibiotic resistance
Escherichia/Shigella presencedhfr1, qnrB1
Enterococcus in arsenic exposureGentamicin/ampicillin resistance
Decline in Bacteroidetes with CKD progressionLoss of metal(loid) resistance genes

Key implications

Findings highlight a clinically relevant pattern: early CKD stages show greater microbial diversity and richer resistome profiles, while advanced stages display microbiome depletion and reduced genetic determinants of resistance. This suggests that declining renal function—and its metabolic consequences, including uremia and altered gut transit—compresses microbial diversity and selectively reduces gene carriage. The presence of cadA and arsC in CKD3 subjects supports their potential use as early-stage biomarkers of environmental metal exposure and gut dysbiosis severity. From a clinical standpoint, the co-selection of metal and antibiotic resistance underlines the need to consider environmental toxicants when evaluating antibiotic-resistant infections in CKD patients. These results support integrating resistome analysis into CKD microbiome assessment, particularly for detecting hidden environmental exposures that may influence disease trajectory.

Citation

Miranda MV, González FC, Paredes-Godoy OS, Maulén MA, Vásquez CC, Díaz-Vásquez WA. Characterization of metal(loid)s and antibiotic resistance in bacteria of human gut microbiota from chronic kidney disease subjects. Biological Research. 2022;55:23. doi:10.1186/s40659-022-00389-z

Chronic Kidney Disease (CKD)

Dysbiosis in chronic kidney disease (CKD) reflects a shift toward reduced beneficial taxa and increased pathogenic, uremic toxin-producing species, driven by a bidirectional interaction in which the uremic environment disrupts microbial composition and dysbiotic metabolites accelerate renal deterioration.

Join the Roundtable

Contribute to published consensus reports, connect with top clinicians and researchers, and receive exclusive invitations to roundtable conferences.