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Peng LT, Tian SQ, Guo WX, Chen XW, Wu JH, Liu YL, Peng B. α-Ketoglutarate downregulates thiosulphate metabolism to enhance antibiotic killing. Int J Antimicrob Agents 2024; 64:107214. [PMID: 38795933 DOI: 10.1016/j.ijantimicag.2024.107214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/12/2024] [Accepted: 05/20/2024] [Indexed: 05/28/2024]
Abstract
Potentiation of the effects of currently available antibiotics is urgently required to tackle the rising antibiotics resistance. The pyruvate (P) cycle has been shown to play a critical role in mediating aminoglycoside antibiotic killing, but the mechanism remains unexplored. In this study, we investigated the effects of intermediate metabolites of the P cycle regarding the potentiation of gentamicin. We found that α-ketoglutarate (α-KG) has the best synergy with gentamicin compared to the other metabolites. This synergistic killing effect was more effective with aminoglycosides than other types of antibiotics, and it was effective against various types of bacterial pathogens. Using fish and mouse infection models, we confirmed that the synergistic killing effect occurred in vivo. Furthermore, functional proteomics showed that α-KG downregulated thiosulphate metabolism. Upregulation of thiosulphate metabolism by exogenous thiosulphate counteracted the killing effect of gentamicin. The role of thiosulphate metabolism in antibiotic resistance was further confirmed using thiosulphate reductase knockout mutants. These mutants were more sensitive to gentamicin killing, and less tolerant to antibiotics compared to their parental strain. Thus, our study highlights a strategy for potentiating antibiotic killing by using a metabolite that reduces antibiotic resistance.
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Affiliation(s)
- Liao-Tian Peng
- State Key Laboratory of Bio-Control, Guangdong Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China; Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, China
| | - Si-Qi Tian
- State Key Laboratory of Bio-Control, Guangdong Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China; Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, China
| | - Wei-Xu Guo
- State Key Laboratory of Bio-Control, Guangdong Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China; Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Xuan-Wei Chen
- State Key Laboratory of Bio-Control, Guangdong Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China
| | - Jia-Han Wu
- State Key Laboratory of Bio-Control, Guangdong Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China
| | - Ying-Li Liu
- State Key Laboratory of Bio-Control, Guangdong Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China
| | - Bo Peng
- State Key Laboratory of Bio-Control, Guangdong Key Laboratory of Pharmaceutical Functional Genes, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China; Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, China.
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Abou-Auda HS, Alotaibi F, Alsanea S, Alwhaibi A, Almutairi MM, Alrabiah Z, Alsultan A, Al Jeraisy M. Population pharmacokinetics of gentamicin in acute lymphoblastic leukemia pediatric patients compared to non-oncology patients. Saudi Pharm J 2024; 32:102060. [PMID: 38596317 PMCID: PMC11002851 DOI: 10.1016/j.jsps.2024.102060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/31/2024] [Indexed: 04/11/2024] Open
Abstract
Understanding the pharmacokinetics of gentamicin is essential in special populations, such as pediatric patients with acute lymphoblastic leukemia (ALL), in light of previous studies indicating that ALL patients have a lower volume of distribution than non-ALL patients. Furthermore, validation of such results is needed to ensure their clinical application. Accordingly, this single-center, retrospective, cross-sectional study compares the pharmacokinetic parameters of volume of distribution and clearance (Cl) of gentamicin between ALL and non-ALL patients. Inclusion criteria were pediatric patients aged between 1 and 14 years with or without ALL and receiving intravenous gentamicin for treatment courses > 72 h. Patients' characteristics, such as age, sex, height, serum albumin, diagnosis, serum creatinine (Scr) concentration, dosing, and pharmacokinetic information, including peak and trough concentrations, were retrieved. The study scrutinized a total of 115 pediatric patients, comprising toddlers (15.7 %), children (76.5 %), and adolescents (7.8 %). All patients received gentamicin every 8 h, with an average dose of 2.50 (0.64) mg/kg. Patients were divided into two groups based on disease state, with 45.2 % (n = 52) in the non-ALL group and 54.8 % (n = 63) in the ALL group. Both groups had similar characteristics in terms of gender, weight, body surface area, and dose. The only significant covariates identified were weight and creatinine clearance (Clcr) for volume of distribution (Vd). A significant difference was found in Scr, Clcr, and blood urea nitrogen (BUN); however, no significant difference between ALL and non-ALL patients emerged in the volume of distribution or Cl. In conclusion, the study findings indicate that dosing requirements were similar between the two groups. Further prospective studies with larger sample sizes are warranted.
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Affiliation(s)
- Hisham S. Abou-Auda
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Fatimah Alotaibi
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- King Abdullah Specialist Children's Hospital, Ministry of National Guard, Saudi Arabia
| | - Sary Alsanea
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Abdulrahman Alwhaibi
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Mohammed M. Almutairi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Ziyad Alrabiah
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Abdullah Alsultan
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Majed Al Jeraisy
- King Abdullah Specialist Children's Hospital, Ministry of National Guard, Saudi Arabia
- King Abdullah International Medical Research Center, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Sciences, Saudi Arabia
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Abbasi MY, Chaijamorn W, Wiwattanawongsa K, Charoensareerat T, Doungngern T. Recommendations of Gentamicin Dose Based on Different Pharmacokinetic/Pharmacodynamic Targets for Intensive Care Adult Patients: A Redefining Approach. Clin Pharmacol 2023; 15:67-76. [PMID: 37427084 PMCID: PMC10329437 DOI: 10.2147/cpaa.s417298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/27/2023] [Indexed: 07/11/2023] Open
Abstract
Background In addition to the maximum plasma concentration (Cmax) to the minimum inhibitory concentration (MIC) ratio, the 24-hour area under the concentration-time curve (AUC24h) to MIC has recently been suggested as pharmacokinetic/pharmacodynamic (PK/PD) targets for efficacy and safety in once-daily dosing of gentamicin (ODDG) in critically ill patients. Purpose This study aimed to predict the optimal effective dose and risk of nephrotoxicity for gentamicin in critically ill patients for two different PK/PD targets within the first 3 days of infection. Methods The gathered pharmacokinetic and demographic data in critically ill patients from 21 previously published studies were used to build a one-compartment pharmacokinetic model. The Monte Carlo Simulation (MCS) method was conducted with the use of gentamicin once-daily dosing ranging from 5-10 mg/kg. The percentage target attainment (PTA) for efficacy, Cmax/MIC ~8-10 and AUC24h/MIC ≥110 targets, were studied. The AUC24h >700 mg⋅h/L and Cmin >2 mg/L were used to predict the risk of nephrotoxicity. Results Gentamicin 7 mg/kg/day could achieve both efficacy targets for more than 90% when the MIC was <0.5 mg/L. When the MIC increased to 1 mg/L, gentamicin 8 mg/kg/day could reach the PK/PD and safety targets. However, for pathogens with MIC ≥2 mg/L, no studied gentamicin doses were sufficient to reach the efficacy target. The risk of nephrotoxicity using AUC24h >700 mg⋅h/L was small, but the risk was greater when applying a Cmin target >2 mg/L. Conclusion Considering both targets of Cmax/MIC ~8-10 and AUC24h/MIC ≥110, an initial gentamicin dose of 8 mg/kg/day should be recommended in critically ill patients for pathogens with MIC of ≤1 mg/L. Clinical validation of our results is essential.
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Affiliation(s)
- Mohammad Yaseen Abbasi
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince Songkla University, Hat Yai, Songkhla, 90110Thailand
| | - Weerachai Chaijamorn
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Pathum Wan, Bangkok, 10330, Thailand
| | - Kamonthip Wiwattanawongsa
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince Songkla University, Hat Yai, Songkhla, 90110Thailand
| | | | - Thitima Doungngern
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince Songkla University, Hat Yai, Songkhla, 90110Thailand
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Pereira LC, de Fátima MA, Santos VV, Brandão CM, Alves IA, Azeredo FJ. Pharmacokinetic/Pharmacodynamic Modeling and Application in Antibacterial and Antifungal Pharmacotherapy: A Narrative Review. Antibiotics (Basel) 2022; 11:986. [PMID: 35892376 PMCID: PMC9330032 DOI: 10.3390/antibiotics11080986] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023] Open
Abstract
Pharmacokinetics and pharmacodynamics are areas in pharmacology related to different themes in the pharmaceutical sciences, including therapeutic drug monitoring and different stages of drug development. Although the knowledge of these disciplines is essential, they have historically been treated separately. While pharmacokinetics was limited to describing the time course of plasma concentrations after administering a drug-dose, pharmacodynamics describes the intensity of the response to these concentrations. In the last decades, the concept of pharmacokinetic/pharmacodynamic modeling (PK/PD) emerged, which seeks to establish mathematical models to describe the complete time course of the dose-response relationship. The integration of these two fields has had applications in optimizing dose regimens in treating antibacterial and antifungals. The anti-infective PK/PD models predict the relationship between different dosing regimens and their pharmacological activity. The reviewed studies show that PK/PD modeling is an essential and efficient tool for a better understanding of the pharmacological activity of antibacterial and antifungal agents.
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Affiliation(s)
- Laiz Campos Pereira
- Laboratory of Pharmacokinetics and Pharmacometrics, Faculty of Pharmacy, Federal University of Bahia (UFBA), Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil; (L.C.P.); (M.A.d.F.); (V.V.S.); (C.M.B.); (I.A.A.)
- Pharmacy Graduate Program, Federal University of Bahia, Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil
| | - Marcelo Aguiar de Fátima
- Laboratory of Pharmacokinetics and Pharmacometrics, Faculty of Pharmacy, Federal University of Bahia (UFBA), Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil; (L.C.P.); (M.A.d.F.); (V.V.S.); (C.M.B.); (I.A.A.)
| | - Valdeene Vieira Santos
- Laboratory of Pharmacokinetics and Pharmacometrics, Faculty of Pharmacy, Federal University of Bahia (UFBA), Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil; (L.C.P.); (M.A.d.F.); (V.V.S.); (C.M.B.); (I.A.A.)
- Pharmacy Graduate Program, Federal University of Bahia, Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil
| | - Carolina Magalhães Brandão
- Laboratory of Pharmacokinetics and Pharmacometrics, Faculty of Pharmacy, Federal University of Bahia (UFBA), Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil; (L.C.P.); (M.A.d.F.); (V.V.S.); (C.M.B.); (I.A.A.)
| | - Izabel Almeida Alves
- Laboratory of Pharmacokinetics and Pharmacometrics, Faculty of Pharmacy, Federal University of Bahia (UFBA), Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil; (L.C.P.); (M.A.d.F.); (V.V.S.); (C.M.B.); (I.A.A.)
| | - Francine Johansson Azeredo
- Pharmacy Graduate Program, Federal University of Bahia, Rua Barão de Jeremoabo, 147, Salvador 40170-115, BA, Brazil
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, Orlando, FL 328827, USA
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