Evidence map›Paper›PMID 41432438›Full record

ArticlemSystems2026

Metabolic potentiation of antibiotic killing by L-arginine in drug-resistant

Bei-Bei Yan, Na Li, Yang Zhou, Li-Li Kang, Xue-Sa Dong, Xiao Xu, Li An, Qing-Lei Meng, Xi-Rong Wang, Ling Yang and 2 more

Abstract read
In one paragraph

Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

12 authors.

Bei-Bei YanDepartment of Neonatology, Children's Hospital Affiliated to Shandong University, Jinan, China.
Na LiDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.
Yang ZhouPharmacy Department, The First People's Hospital of Jinan, Jinan, China.
Li-Li KangDepartment of Neonatology, Children's Hospital Affiliated to Shandong University, Jinan, China.
Xue-Sa DongDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.
Xiao XuDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.
Li AnDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.
Qing-Lei MengDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.
Xi-Rong WangDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.
Ling YangDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.
Xiao-Ying LiDepartment of Neonatology, Children's Hospital Affiliated to Shandong University, Jinan, China.ORCID 0009-0001-2013-7624
Chao WangDepartment of Genetics and Breeding, Shandong Freshwater Fisheries Research Institute, Jinan, China.ORCID 0000-0002-1113-259X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of metabolic state reprogramming in modulating antibiotic susceptibility has attracted growing interest as a promising strategy to combat antimicrobial resistance. Our study revealed that L-arginine potentiates chloramphenicol's bactericidal activity by at least two orders of magnitude against multidrug-resistant

Indexed as

Anti-Bacterial AgentsArginineEdwardsiella tardaChloramphenicolCitric Acid CycleDrug Resistance, Multiple, BacterialDrug SynergismMicrobial Sensitivity TestsOxidation-ReductionAnti-Bacterial AgentsArginineChloramphenicolEdwardsiella tardaL-arginineproton motive forcethe tricarboxylic acid cycletrans-cinnamate

Identifiers

PMID41432438
PMCPMC12911416

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.