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Amikacin

Drugs and Chemicals · NLM MeSH · updated 2026-10-31 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

A broad-spectrum antibiotic derived from kanamycin.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (916 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A broad-spectrum antibiotic derived from kanamycin. It is reno- and oto-toxic like the other aminoglycoside antibiotics.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Amikacin Sulfate; Sulfate, Amikacin; BB-K8; BBK8; BB K8; BB-K 8; BB K 8; BBK 8.

Where it fits in the MeSH classification

Broader topics
Kanamycin

Related concepts

  • Kanamycin

Research landscape

PubMed indexes 4,914 records tagged with the MeSH heading “Amikacin” (counts retrieved 2026-10-31). 781 of them (15.9%) were published from 2020 onward, and the busiest period so far is through 1999 with 2,309 records.

Reviews account for 203 records (4.1%) and meta-analyses for 21. Randomized controlled trials number 327 (6.7%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 2,309 records; 2000-2009: 786 records; 2010-2019: 1,038 records; 2020 onward: 781 records2,309through 19997862000-20091,0382010-20197812020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19992,309
2000-2009786
2010-20191,038
2020 onward781
Share of records by publication typeReviews: 4.1 percent; Meta-analyses: 0.4 percent; Randomized controlled trials: 6.7 percentReviews4.1% (203)Meta-analyses0.4% (21)Randomized controlled trials6.7% (327)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 4,914 PubMed records
TypeRecordsShare
Reviews2034.1%
Meta-analyses210.4%
Randomized controlled trials3276.7%

Method: PubMed query "Amikacin"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in drugs and chemicals

Studies of a chemical or drug can answer very different questions: what it is and how it behaves in cells and animals, how the body handles it, and whether it changes outcomes in people. Laboratory and animal findings often do not carry over to patients, and observational studies of exposures are confounded by who uses a substance and why. Nothing on this page is a recommendation to use, avoid, start or stop any substance or medicine; talk to a qualified clinician or pharmacist about your own situation. Check the dose, the species, the comparison group and whether a patient-relevant outcome was measured.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Amikacin: Uses, Resistance, and Prospects for Inhibition
Ramirez MS, Tolmasky ME
2017Review article
Design not recorded in structured metadata
181cc by
PMID 29257114 · DOI · PMC5889950
Amikacin Optimal Exposure Targets in the Hollow-Fiber System Model of Tuberculosis
Srivastava S, Modongo C, Siyambalapitiyage Dona CW, Pasipanodya JG, Deshpande D, Gumbo T
2016Research article
Design not recorded in structured metadata
31cc by
PMID 27458215 · DOI · PMC5038304
Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients
Modongo C, Pasipanodya JG, Magazi BT, Srivastava S, Zetola NM, Williams SM, et al.
2016Research article
Design not recorded in structured metadata
30cc by
PMID 27458224 · DOI · PMC5038293
Amikacin-eravacycline combination mediates the synergistic elimination of carbapenem-resistant pathogens via in vitro and in vivo metabolic reprogramming
Yang X, Chen Y, Yang J, Lei J, Liu T, Mai Y, et al.
2026Research article
Design not recorded in structured metadata
0cc by
PMID 41666225 · DOI · PMC12890146

Amikacin: Uses, Resistance, and Prospects for Inhibition [1]

Review article Ramirez MS, Tolmasky ME · · 2017 · cited 181 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Aminoglycosides are a group of antibiotics used since the 1940s to primarily treat a broad spectrum of bacterial infections.
Closing excerpt
A new semisynthetic aminoglycoside, plazomicin, is in advance stage of development and will contribute to renewed interest in this kind of antibiotics.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (195 words)

Aminoglycosides are a group of antibiotics used since the 1940s to primarily treat a broad spectrum of bacterial infections. The primary resistance mechanism against these antibiotics is enzymatic modification by aminoglycoside-modifying enzymes that are divided into acetyl-transferases, phosphotransferases, and nucleotidyltransferases. To overcome this problem, new semisynthetic aminoglycosides were developed in the 70s. The most widely used semisynthetic aminoglycoside is amikacin, which is refractory to most aminoglycoside modifying enzymes. Amikacin was synthesized by acylation with the l-(-)-γ-amino-α-hydroxybutyryl side chain at the C-1 amino group of the deoxystreptamine moiety of kanamycin A. The main amikacin resistance mechanism found in the clinics is acetylation by the aminoglycoside 6'-N-acetyltransferase type Ib [AAC(6')-Ib], an enzyme coded for by a gene found in integrons, transposons, plasmids, and chromosomes of Gram-negative bacteria. Numerous efforts are focused on finding strategies to neutralize the action of AAC(6')-Ib and extend the useful life of amikacin. Small molecules as well as complexes ionophore-Zn+2 or Cu+2 were found to inhibit the acetylation reaction and induced phenotypic conversion to susceptibility in bacteria harboring the aac(6')-Ib gene. A new semisynthetic aminoglycoside, plazomicin, is in advance stage of development and will contribute to renewed interest in this kind of antibiotics.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 29257114 · DOI · PMC5889950

Amikacin Optimal Exposure Targets in the Hollow-Fiber System Model of Tuberculosis [2]

Research article Srivastava S, Modongo C, Siyambalapitiyage Dona CW, Pasipanodya JG, Deshpande D, Gumbo T · · 2016 · cited 31 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Aminoglycosides such as amikacin are currently used for the treatment of multidrug-resistant tuberculosis (MDR-TB).
Closing excerpt
The EC90 is the dosing target for intermittent therapy that optimizes cure in TB programs for MDR-TB patients.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (270 words)

Aminoglycosides such as amikacin are currently used for the treatment of multidrug-resistant tuberculosis (MDR-TB). However, formal pharmacokinetic/pharmacodynamic (PK/PD) studies to identify amikacin exposures and dosing schedules that optimize Mycobacterium tuberculosis killing have not been performed. It is believed that aminoglycosides do not work well under acidic conditions, which, if true, would mean poor sterilizing activity against semidormant bacilli at low pH. We performed time-kill studies to compare the bactericidal effect of amikacin in log-phase-growth bacilli with the sterilizing effect in semidormant bacilli at pH 5.8 in broth. In log-phase M. tuberculosis at normal pH versus semidormant M. tuberculosis at pH 5.8, the maximal kill (Emax) estimate and 95% confidence interval (CI) were 5.39 (95% CI, 4.91 to 5.63) versus 4.88 (CI, 4.46 to 5.22) log10 CFU/ml, while the concentration mediating 50% of Emax (EC50) was 1.0 (CI, 0. 0.86 to 1.12) versus 0.60 (CI, 0.50 to 0.66) times the MIC, respectively. Thus, the optimal exposures and kill rates identified for log-phase M. tuberculosis will be optimal even for semidormant bacilli. Next, we performed exposure-response and dose-scheduling studies in the hollow-fiber system model of tuberculosis using log-phase M. tuberculosis We recapitulated the amikacin concentration-time profiles observed in lungs of patients treated over 28 days. The PK/PD index linked to M. tuberculosis kill was the peak concentration (Cmax)-to-MIC ratio (r(2) > 0.99), closely followed by the area under the concentration-time curve from 0 to 24 h (AUC0-24)-to-MIC ratio (r(2) = 0.98). The EC90 was a Cmax/MIC ratio of 10.13 (95% CI, 7.73 to 12.48). The EC90 is the dosing target for intermittent therapy that optimizes cure in TB programs for MDR-TB patients.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 27458215 · DOI · PMC5038304

Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients [3]

Research article Modongo C, Pasipanodya JG, Magazi BT, Srivastava S, Zetola NM, Williams SM, et al. · · 2016 · cited 30 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Aminoglycosides such as amikacin continue to be part of the backbone of treatment of multidrug-resistant tuberculosis (MDR-TB).
Closing excerpt
These amikacin dose-schedule patterns and exposures are virtually the same as those identified in the hollow-fiber system model.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (273 words)

Aminoglycosides such as amikacin continue to be part of the backbone of treatment of multidrug-resistant tuberculosis (MDR-TB). We measured amikacin concentrations in 28 MDR-TB patients in Botswana receiving amikacin therapy together with oral levofloxacin, ethionamide, cycloserine, and pyrazinamide and calculated areas under the concentration-time curves from 0 to 24 h (AUC0-24). The patients were followed monthly for sputum culture conversion based on liquid cultures. The median duration of amikacin therapy was 184 (range, 28 to 866) days, at a median dose of 17.30 (range 11.11 to 19.23) mg/kg. Only 11 (39%) patients had sputum culture conversion during treatment; the rest failed. We utilized classification and regression tree analyses (CART) to examine all potential predictors of failure, including clinical and demographic features, comorbidities, and amikacin peak concentrations (Cmax), AUC0-24, and trough concentrations. The primary node for failure had two competing variables, Cmax of 41 kg was a secondary node with a score of 35% relative to the primary node. The area under the receiver operating characteristic curve for the CART model was an R(2) = 0.90 on posttest. In patients weighing >41 kg, sputum conversion was 3/3 (100%) in those with an amikacin Cmax of ≥67 mg/liter versus 3/15 (20%) in those with a Cmax of <67 mg/liter (relative risk [RR] = 5.00; 95% confidence interval [CI], 1.82 to 13.76). In all patients who had both amikacin Cmax and AUC0-24 below the threshold, 7/7 (100%) failed, compared to 7/15 (47%) of those who had these parameters above threshold (RR = 2.14; 95% CI, 1.25 to 43.68). These amikacin dose-schedule patterns and exposures are virtually the same as those identified in the hollow-fiber system model.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 27458224 · DOI · PMC5038293

Amikacin-eravacycline combination mediates the synergistic elimination of carbapenem-resistant pathogens via in vitro and in vivo metabolic reprogramming [4]

Research article Yang X, Chen Y, Yang J, Lei J, Liu T, Mai Y, et al. · · 2026

Abstract reading summary — source excerpts
Opening excerpt
Carbapenem-resistant (CR) organisms (CRO) have been identified as critical priority pathogens, emphasizing the urgent need for novel therapeutic strategies.
Closing excerpt
Our findings underscore the potential of repurposing AMK in combination with ERV to combat CR pathogens and propose a novel strategy for controlling these infections through the combination of antibiotics with specific metabolites such as methionine.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (178 words)

Carbapenem-resistant (CR) organisms (CRO) have been identified as critical priority pathogens, emphasizing the urgent need for novel therapeutic strategies. Combination therapy emerges as a promising approach to address multidrug-resistant bacterial infections. Here we demonstrate that eravacycline (ERV), in combination with amikacin (AMK), effectively eliminates a panel of clinically isolated CR Escherichia coli, CR Klebsiella pneumoniae, and CR Acinetobacter baumannii. Mechanistically, the AMK-ERV combination enhances bacterial oxidative phosphorylation, leading to an accumulation of reactive oxygen species, which induce oxidative stress and accelerate bacterial cell death. Notably, this combination significantly improves survival rates in mouse models of intra-abdominal infection, demonstrating efficacy against infections induced by CR pathogens. Furthermore, serum metabolomics reveals that the AMK-ERV combination upregulates metabolic pathways of lipids and amino acids. Interestingly, the amino acid methionine significantly enhances the antibacterial activity of ERV against CR pathogens both in vitro and in vivo. Our findings underscore the potential of repurposing AMK in combination with ERV to combat CR pathogens and propose a novel strategy for controlling these infections through the combination of antibiotics with specific metabolites such as methionine.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41666225 · DOI · PMC12890146

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Aminoglycoside-induced nephrotoxicity [5]
    Wargo KA, Edwards JD · J Pharm Pract · 2014 · cited 169 times (Europe PMC)
  • Research article Treatment of Mycobacterium abscessus Pulmonary Disease [6]
    Griffith DE, Daley CL · Chest · 2022 · cited 159 times (Europe PMC)
  • Research article Amikacin Liposome Inhalation Suspension: A Review in Mycobacterium avium Complex Lung Disease [7]
    Shirley M · Drugs · 2019 · cited 101 times (Europe PMC)
  • Research article Effect of Kidney Function on Drug Kinetics and Dosing in Neonates, Infants, and Children [8]
    Rodieux F, Wilbaux M, van den Anker JN, Pfister M · Clin Pharmacokinet · 2015 · cited 87 times (Europe PMC)
  • Research article Nephrotoxicity of vancomycin and aminoglycoside therapy separately and in combination [9]
    Goetz MB, Sayers J · J Antimicrob Chemother · 1993 · cited 79 times (Europe PMC)
  • Research article The Use of Amikacin Liposome Inhalation Suspension (Arikayce) in the Treatment of Refractory Nontuberculous Mycobacterial Lung Disease in Adults [10]
    Khan O, Chaudary N · Drug Des Devel Ther · 2020 · cited 60 times (Europe PMC)

References

  1. Ramirez MS, Tolmasky ME. Amikacin: Uses, Resistance, and Prospects for Inhibition. . 2017. PMID 29257114 · DOI · PMC5889950
  2. Srivastava S, Modongo C, Siyambalapitiyage Dona CW, Pasipanodya JG, Deshpande D, Gumbo T. Amikacin Optimal Exposure Targets in the Hollow-Fiber System Model of Tuberculosis. . 2016. PMID 27458215 · DOI · PMC5038304
  3. Modongo C, Pasipanodya JG, Magazi BT, Srivastava S, Zetola NM, Williams SM, et al.. Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients. . 2016. PMID 27458224 · DOI · PMC5038293
  4. Yang X, Chen Y, Yang J, Lei J, Liu T, Mai Y, et al.. Amikacin-eravacycline combination mediates the synergistic elimination of carbapenem-resistant pathogens via in vitro and in vivo metabolic reprogramming. . 2026. PMID 41666225 · DOI · PMC12890146
  5. Wargo KA, Edwards JD. Aminoglycoside-induced nephrotoxicity. J Pharm Pract. 2014. PMID 25199523 · DOI
  6. Griffith DE, Daley CL. Treatment of Mycobacterium abscessus Pulmonary Disease. Chest. 2022. PMID 34314673 · DOI
  7. Shirley M. Amikacin Liposome Inhalation Suspension: A Review in Mycobacterium avium Complex Lung Disease. Drugs. 2019. PMID 30877642 · DOI · PMC6445814
  8. Rodieux F, Wilbaux M, van den Anker JN, Pfister M. Effect of Kidney Function on Drug Kinetics and Dosing in Neonates, Infants, and Children. Clin Pharmacokinet. 2015. PMID 26138291 · DOI · PMC4661214
  9. Goetz MB, Sayers J. Nephrotoxicity of vancomycin and aminoglycoside therapy separately and in combination. J Antimicrob Chemother. 1993. PMID 8226435 · DOI
  10. Khan O, Chaudary N. The Use of Amikacin Liposome Inhalation Suspension (Arikayce) in the Treatment of Refractory Nontuberculous Mycobacterial Lung Disease in Adults. Drug Des Devel Ther. 2020. PMID 32606598 · DOI · PMC7293904

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-31.

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At a glance

4,914
PubMed records on this heading
16%
published since 2020
203
review articles
327
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

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