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Research article · 2024 · Full text

International Journal of Biology Sciences

Antimicrobial resistance profiling of multidrug-resistant enterobacteriaceae from hospital wastewater

Farheen ThimmaiahHarini KamathZoya Seshadri

Volume 6(1) · Pages 244–247 · DOI: 10.33545/26649926.2024.v6.i1c.849 ↗

Research areasAntibiotic Resistance in BacteriaPharmaceutical and Antibiotic Environmental ImpactsAntibiotic Use and Resistance

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Abstract

Author-written

Hospital wastewater is a breeding ground for antimicrobial resistance and most treatment plants weren't designed to handle it. This research characterized the antimicrobial resistance profiles of multidrug-resistant (MDR) Enterobacteriaceae isolated from wastewater at five sampling points along the treatment chain of a 250-bed tertiary hospital in Imphal, Manipur. Between March and November 2022, 384 wastewater samples were collected biweekly and processed at the Manipur Institute of Biological Research. A total of 247 Enterobacteriaceae isolates were recovered, with Escherichia coli (42.1%), Klebsiella pneumoniae (33.2%), and Enterobacter cloacae (12.6%) being the most frequent species. MDR phenotypes (resistance to three or more antibiotic classes) were detected in 87.3% of raw influent isolates but only 38.1% of chlorinated effluent isolates. Extended-spectrum beta-lactamase (ESBL) production was confirmed in 63.8% of all isolates, and carbapenem resistance was found in 28.7%. PCR screening revealed blaCTX-M (71.3%), blaNDM-1 (24.6%), and blaOXA-48 (11.8%) as the dominant resistance genes. A positive correlation existed between the number of AMR genes carried and meropenem MIC values (R²=0.71, p<0.001).

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Antimicrobial resistance (AMR) is a critical global health threat, causing more annual deaths than HIV and malaria combined, with Enterobacteriaceae contributing significantly to this burden. View evidence ↗

      Why it matters

      Antimicrobial resistance (AMR) is a critical global health threat, causing more annual deaths than HIV and malaria combined, with Enterobacteriaceae contributing significantly to this burden.

      In the paper's own words

      “Antimicrobial resistance kills more people each year than HIV and malaria combined. A 2019 global analysis attributed 1.27 million deaths directly to bacterial AMR, with Enterobacteriaceae responsible for a disproportionate share of the burden”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Hospitals are hotspots for AMR because their wastewater contains both resistant bacteria and genetic elements that can transfer resistance to other organisms in the environment. View evidence ↗

      Why it matters

      Hospitals are hotspots for AMR because their wastewater contains both resistant bacteria and genetic elements that can transfer resistance to other organisms in the environment.

      In the paper's own words

      “Hospital environments, where antibiotic usage is concentrated, generate wastewater that carries both resistant bacteria and the mobile genetic elements encoding resistance plasmids, integrons, and transposons that can spread resistance to environmental organisms”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Standard wastewater treatment plants are designed to reduce overall bacterial loads but are not specifically engineered to remove resistance genes or stop the transfer of resistance between bacteria. View evidence ↗

      Why it matters

      Standard wastewater treatment plants are designed to reduce overall bacterial loads but are not specifically engineered to remove resistance genes or stop the transfer of resistance between bacteria.

      In the paper's own words

      “Conventional wastewater treatment plants reduce bacterial loads through physical and chemical processes, but they weren't engineered to eliminate resistance genes or to prevent horizontal gene transfer”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to identify the types of Enterobacteriaceae present and their resistance profiles and genes at different stages of a hospital wastewater treatment system in Imphal, Manipur. View evidence ↗

      The question

      The study aimed to identify the types of Enterobacteriaceae present and their resistance profiles and genes at different stages of a hospital wastewater treatment system in Imphal, Manipur.

      In the paper's own words

      “This research aimed to characterize the species distribution, resistance phenotypes, and resistance gene carriage of Enterobacteriaceae at sequential points in a hospital wastewater treatment system in Imphal, Manipur.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Samples were collected from five distinct locations: raw influent, after primary sedimentation, after secondary biological treatment, after chlorination, and an upstream control site on the Nambul River. View evidence ↗

      What they did

      Samples were collected from five distinct locations: raw influent, after primary sedimentation, after secondary biological treatment, after chlorination, and an upstream control site on the Nambul River.

      In the paper's own words

      “Wastewater samples were collected from five points: raw influent (before any treatment), post-primary sedimentation, post-secondary biological treatment, post-chlorination effluent, and an upstream control site 200 meters above the hospital discharge point on the Nambul River.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • A total of 384 500-mL grab samples were collected biweekly from March to November 2022. View evidence ↗

      What they did

      A total of 384 500-mL grab samples were collected biweekly from March to November 2022.

      In the paper's own words

      “Grab samples of 500 mL each were collected in sterile polypropylene bottles biweekly between March and November 2022 (total 384 samples across all sites).”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Bacterial species were identified using the VITEK 2 automated system, with 16S rRNA gene sequencing used to confirm ambiguous results. View evidence ↗

      What they did

      Bacterial species were identified using the VITEK 2 automated system, with 16S rRNA gene sequencing used to confirm ambiguous results.

      In the paper's own words

      “Colonies were identified to species level using the VITEK 2 automated system (bioMerieux) and confirmed by 16S rRNA gene sequencing for ambiguous identifications.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • The researchers used the disc diffusion method following CLSI 2022 guidelines for susceptibility testing and Etests to determine minimum inhibitory concentrations (MIC) for colistin and carbapenems. View evidence ↗

      What they did

      The researchers used the disc diffusion method following CLSI 2022 guidelines for susceptibility testing and Etests to determine minimum inhibitory concentrations (MIC) for colistin and carbapenems.

      In the paper's own words

      “Antimicrobial susceptibility testing followed CLSI 2022 guidelines using the disc diffusion method. MIC values for carbapenems and colistin were determined by Etest.”

      Page 2

      Found in: Reagents and Chemicals

      Read it in the full textOpen PDF at page 2 ↗
    • Multiplex PCR was used to screen all multidrug-resistant (MDR) isolates for six specific beta-lactamase genes. View evidence ↗

      What they did

      Multiplex PCR was used to screen all multidrug-resistant (MDR) isolates for six specific beta-lactamase genes.

      In the paper's own words

      “Genomic DNA was extracted from all MDR isolates and screened by multiplex PCR for six beta-lactamase genes.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Out of 247 recovered Enterobacteriaceae isolates, the most common species were E. coli (42.1%), K. pneumoniae (33.2%), and E. cloacae (12.6%). View evidence ↗

      What they found

      Out of 247 recovered Enterobacteriaceae isolates, the most common species were E. coli (42.1%), K. pneumoniae (33.2%), and E. cloacae (12.6%).

      In the paper's own words

      “A total of 247 Enterobacteriaceae isolates were recovered, with Escherichia coli (42.1%), Klebsiella pneumoniae (33.2%), and Enterobacter cloacae (12.6%) being the most frequent species.”

      Page 1

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗
    • Among the species identified, K. pneumoniae exhibited the highest rates of carbapenem resistance (38.4%) and ESBL production (71.9%). View evidence ↗

      What they found

      Among the species identified, K. pneumoniae exhibited the highest rates of carbapenem resistance (38.4%) and ESBL production (71.9%).

      In the paper's own words

      “Klebsiella pneumoniae showed the highest rates of both ESBL production (71.9%) and carbapenem resistance (38.4%) among the identified species (Table 1).”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗
    • The blaCTX-M gene was the most persistent, appearing in 84.3% of raw influent and remaining in 48.7% of isolates after chlorination. View evidence ↗

      What they found

      The blaCTX-M gene was the most persistent, appearing in 84.3% of raw influent and remaining in 48.7% of isolates after chlorination.

      In the paper's own words

      “blaCTX-M persisted most stubbornly, with nearly half of post-chlorination isolates still carrying it.”

      Page 2

      “blaCTX-M | 84.3% | 76.8% | 61.2% | 48.7% | 18.4%”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • The blaNDM-1 gene, which encodes a carbapenemase, was detected in 14.2% of isolates after chlorination, indicating that some resistant organisms survive the entire treatment process. View evidence ↗

      What they found

      The blaNDM-1 gene, which encodes a carbapenemase, was detected in 14.2% of isolates after chlorination, indicating that some resistant organisms survive the entire treatment process.

      In the paper's own words

      “BlaNDM-1 gene was detected even after chlorination (14.2%), suggesting that some carbapenemase-producing organisms survive the full treatment chain.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • There was a strong positive correlation (R²=0.71, p<0.001) between the number of AMR genes an isolate carried and its meropenem MIC values. View evidence ↗

      What they found

      There was a strong positive correlation (R²=0.71, p<0.001) between the number of AMR genes an isolate carried and its meropenem MIC values.

      In the paper's own words

      “A positive correlation existed between the number of AMR genes carried and meropenem MIC values (R²=0.71, p<0.001).”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
  5. What it means

    • The authors conclude that standard wastewater treatment is not enough to stop the spread of clinically significant resistance genes into the environment. View evidence ↗

      What it means

      The authors conclude that standard wastewater treatment is not enough to stop the spread of clinically significant resistance genes into the environment.

      In the paper's own words

      “confirming that standard wastewater treatment is insufficient to prevent the environmental dissemination of clinically important resistance genes.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors recommend upgrading hospital wastewater systems in northeast India by adding advanced steps like membrane filtration, ozonation, or UV disinfection. View evidence ↗

      What it means

      The authors recommend upgrading hospital wastewater systems in northeast India by adding advanced steps like membrane filtration, ozonation, or UV disinfection.

      In the paper's own words

      “findings argue for upgrading hospital wastewater treatment systems in northeast India particularly through adding advanced treatment steps such as UV disinfection, ozonation, or membrane filtration”

      Page 4

      Found in: Introduction

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (hospital wastewater treatment plant). It explains the idea and does not show study data.↗ Enlarge
Resistance Gradient in Treatment Chain
AI-generated conceptual illustration (hospital wastewater treatment plant). It explains the idea and does not show study data.

AI-generated conceptual illustration (hospital wastewater treatment plant). It explains the idea and does not show study data.

Open full-size image ↗

Resistance Gradient in Treatment Chain

AI-generated conceptual illustration (hospital wastewater treatment plant). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
ESBL (%) and Carbapenem resistant (%): E. coli vs K. pneumoniae vs E. cloacae vs C. freundii vs Others
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

ESBL (%) and Carbapenem resistant (%): E. coli vs K. pneumoniae vs E. cloacae vs C. freundii vs Others

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
blaCTX-M: Raw influent vs Post- primary vs Post- secondary vs Post- chlor.
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

blaCTX-M: Raw influent vs Post- primary vs Post- secondary vs Post- chlor.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Species distribution and resistance phenotypes of enterobacteriaceae isolates (n=247)Table 1Page 2Resistance Gene Prevalence across Sampling PointsTable 2Page 2Correlation between number of AMR genes detected per isolate and meropenem MIC values. Each point represents one isolate,Figure 1Page 2Distribution of multidrug-resistant isolates (% of total) across five sequential sampling points in the hospital wastewater treatmentFigure 2Page 3Schematic representation of AMR gene transfer pathways from hospital wastewater to environmental and community exposure routes.Figure 3Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Antimicrobial resistance kills more people each year than HIV and malaria combined. A 2019 global analysis attributed 1.27 million deaths directly to bacterial AMR, with Enterobacteriaceae responsible for a disproportionate share of the burden [1] . Hospital environments, where antibiotic usage is concentrated, generate wastewater that carries both resistant bacteria and the mobile genetic elements encoding resistance plasmids, integrons, and transposons that can spread resistance to environmental organisms [2]. Conventional wastewater treatment plants reduce bacterial loads through physical and chemical processes, but they weren't engineered to eliminate resistance genes or to prevent horizontal gene transfer [3] . Several investigations from urban India have found that hospital effluent contributes significantly to the AMR burden in receiving water bodies, with ESBLproducing Enterobacteriaceae detected even in treated effluent [4,5] . Northeast India presents a particularly understudied context. Manipur's healthcare infrastructure has expanded in recent decades, but wastewater treatment capacity hasn't kept pace [6] . Understanding how resistance profiles change along the treatment chain from raw influent to final discharge is important for identifying where interventions might be most effective [7] . Equally important is knowing which specific resistance genes persist through treatment, since some (like blaNDM-1) encode carbapenemases that threaten last-resort antibiotics [8] . This research aimed to characterize the species distribution, resistance phenotypes, and resistance gene carriage of Enterobacteriaceae at sequential points in a hospital wastewater treatment system in Imphal, Manipur.

Material and Methods

Material and Methods

Reagents and Chemicals

MacConkey agar, Mueller-Hinton agar, and brain heart infusion broth were obtained from HiMedia Laboratories (Mumbai, India). Antibiotic discs for susceptibility testing (panel of 18 antibiotics covering 8 classes) came from HiMedia and were stored at 4 °C until use. Etest strips for MIC determination of meropenem, imipenem, and colistin were purchased from bioMerieux (through their Mumbai distributor). PCR primers targeting blaCTX-M, blaTEM, blaSHV, blaNDM-1, blaOXA-48, and blaKPC were synthesized by Eurofins Genomics India (Bangalore). DNA extraction kits (DNeasy Blood and Tissue Kit) were sourced from Qiagen (New Delhi). Taq polymerase, dNTPs, and agarose were obtained from Thermo Fisher Scientific.

Material

Wastewater samples were collected from five points: raw influent (before any treatment), post-primary sedimentation, post-secondary biological treatment, post-chlorination effluent, and an upstream control site 200 meters above the hospital discharge point on the Nambul River. Treatment reduced but did not eliminate resistance genes (Table 2). blaCTX-M persisted most stubbornly, with nearly half of post-chlorination isolates still carrying it. The BlaNDM-1 gene was detected even after chlorination (14.2%), suggesting that some carbapenemase-producing organisms survive the full treatment chain.

Table 2. Resistance Gene Prevalence across Sampling Points
GeneRaw influentPost- primaryPost- secondaryPost- chlor.Upstream control
blaCTX-M84.3%76.8%61.2%48.7%18.4%
blaTEM67.1%58.9%42.6%31.4%12.7%
blaSHV38.6%31.2%24.8%17.3%6.2%
blaNDM-131.4%27.8%19.4%14.2%4.1%
blaOXA-4817.1%13.6%9.3%6.8%1.4%
blaKPC4.3%3.2%1.6%0.0%0.0%

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Resistance Gene Prevalence across Sampling Points↗ Enlarge
Table 2
Resistance Gene Prevalence across Sampling Points

Resistance Gene Prevalence across Sampling Points

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Original paper tableSource PDF · page 2 ↗

Discussion

The high prevalence of MDR Enterobacteriaceae in hospital wastewater from Imphal mirrors patterns reported from larger Indian cities like Delhi and Chennai [4,9] but this is among the first systematic characterizations from northeast India. The 87.3% MDR rate in raw influent is alarming, though not unexpected for a tertiary care facility with active ICU and surgical wards where broad-spectrum antibiotics are prescribed routinely [10] What stands out is how incompletely the treatment system removes resistance. Chlorination reduced MDR prevalence from 87.3% to 38.1% a meaningful drop, but it means that more than a third of surviving isolates in the final effluent are still multidrug resistant. Other research groups in India have reported similar persistence after conventional treatment [5,11] . The detection of blaNDM-1 in 14.2% of post-chlorination isolates is particularly concerning, since NDM-1-producing bacteria have caused untreatable infections in healthcare settings globally and the gene spreads efficiently on mobile genetic elements [12] . The strong correlation between resistance gene count and carbapenem MIC (R²=0.71) suggests additive or synergistic interactions among co-carried resistance determinants.

Isolates carrying four or more resistance genes consistently showed MIC values above the CLSI breakpoint for resistance. This co-carriage pattern was most pronounced in K. pneumoniae, which also showed the highest rates of carbapenem and colistin resistance a combination that severely limits therapeutic options [13,14] .

Conclusion

Hospital wastewater in Imphal harbors a high burden of multidrug-resistant Enterobacteriaceae, with ESBLproducing and carbapenem-resistant strains persisting through conventional treatment processes. The blaCTX-M and blaNDM-1 genes were detected even in chlorinated effluent, confirming that standard wastewater treatment is insufficient to prevent the environmental dissemination of clinically important resistance genes. Klebsiella pneumoniae emerged as the most resistant species across all metrics, including colistin resistance at 7.3%. A clear gradient of decreasing resistance prevalence from influent to effluent demonstrates that treatment does reduce the AMR burden, but not enough to protect downstream water users. These

Figures and tables from the paper

Table 1. Species distribution and resistance phenotypes of enterobacteriaceae isolates (n=247)
Speciesn (%)MDR (%)ESBL (%)Carbapenem resistant (%)Colistin resistant (%)
E. coli104 (42.1)78.868.322.13.8
K. pneumoniae82 (33.2)84.171.938.47.3
E. cloacae31 (12.6)74.248.429.00.0
C. freundii18 (7.3)66.744.416.70.0
Others12 (4.8)58.333.38.30.0
Total24778.963.828.74.0

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Species distribution and resistance phenotypes of enterobacteriaceae isolates (n=247)↗ Enlarge
Table 1
Species distribution and resistance phenotypes of enterobacteriaceae isolates (n=247)

Species distribution and resistance phenotypes of enterobacteriaceae isolates (n=247)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 1. Correlation between number of AMR genes detected per isolate and meropenem MIC values. Each point represents one isolate,
Correlation between number of AMR genes detected per isolate and meropenem MIC values. Each point represents one isolate,↗ Enlarge
Figure 1
Correlation between number of AMR genes detected per isolate and meropenem MIC values. Each point represents one isolate,

Correlation between number of AMR genes detected per isolate and meropenem MIC values. Each point represents one isolate,

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Distribution of multidrug-resistant isolates (% of total) across five sequential sampling points in the hospital wastewater treatment
Distribution of multidrug-resistant isolates (% of total) across five sequential sampling points in the hospital wastewater treatment↗ Enlarge
Figure 2
Distribution of multidrug-resistant isolates (% of total) across five sequential sampling points in the hospital wastewater treatment

Distribution of multidrug-resistant isolates (% of total) across five sequential sampling points in the hospital wastewater treatment

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 3. Schematic representation of AMR gene transfer pathways from hospital wastewater to environmental and community exposure routes.
Schematic representation of AMR gene transfer pathways from hospital wastewater to environmental and community exposure routes.↗ Enlarge
Figure 3
Schematic representation of AMR gene transfer pathways from hospital wastewater to environmental and community exposure routes.

Schematic representation of AMR gene transfer pathways from hospital wastewater to environmental and community exposure routes.

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

0 in the original paper