Evidence map›Paper›PMID 40985023›Full record

ArticleDrug design, development and therapy2025

Physiologically Based Pharmacokinetic Modeling and Dose Optimization of Linezolid in Pediatric Patients With Renal Impairment.

Jia-Qi Lou, Ben-Nian Huo, Ya Yang, Shu-Feng Wang, Lu-Dan Zhang, Yun-Tao Jia, Lin Song

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jia-Qi LouDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
Ben-Nian HuoDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
Ya YangDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
Shu-Feng WangInstitute of Immunology, Third Military Medical University (Army Medical University), Chongqing, 400038, People's Republic of China.
Lu-Dan ZhangDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
Yun-Tao JiaDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.
Lin SongDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Linezolid (LZD), a commonly used antimicrobial agent in clinical practice, has not undergone adequate pharmacokinetic (PK) assessment in pediatric populations with renal impairment (RI). Physiologically based pharmacokinetic (PBPK) modeling provides unique benefits for investigating drug pharmacokinetics in specific patient groups. This study aimed to employ the PBPK model to refine and optimize the therapeutic dosing protocol of LZD for RI pediatric patients. Methods: The model was developed and validated for both healthy adults and RI adults, which was subsequently adapted for pediatric applications. Upon verification of the pediatric Based on clinical PK data and real-world study findings, the PBPK model demonstrated precise prediction of LZD exposure in pediatric populations with varying degrees of RI, encompassing weight- and age-associated PK variations. Results: The PBPK modeling simulations exhibited robust agreement with observational data for LZD across both oral and intravenous delivery routes under diverse dosing protocols, as evidenced by the fold error (FE) always between 0.5 and 2 times, geometric mean fold error (GMFE) was less than 2.0 and mean absolute prediction error (MAPE) was within 100%. Pediatric populations with severe or end-stage RI exhibited 1.21-fold and 1.28-fold elevations in plasma concentration-time curve (AUC) values, respectively, relative to healthy pediatric counterparts when administered equivalent 10 mg/kg LZD doses. Pharmacodynamic analysis confirmed that the proposed dosing regimens-8 mg/kg every 8 hours for children with severe or end-stage RI -were effective in achieving the target AUC Conclusion: Our model provides a predictive instrument to enhance precision in determining therapeutic LZD dosage regimens for pediatric populations through systematic integration of developmental PK parameters.

Indexed as

Anti-Bacterial AgentsLinezolidModels, BiologicalRenal InsufficiencyAdministration, OralAdolescentAdultChildChild, PreschoolDose-Response Relationship, DrugFemaleHumansInfantMaleMicrobial Sensitivity TestsAnti-Bacterial AgentsLinezolidlinezolidpediatricpharmacodynamicsphysiologically based pharmacokinetic modelrenal impairment

Identifiers

PMID40985023
PMCPMC12450378

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.