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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol.

Sec. Molecular Bacterial Pathogenesis

Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1650340

Decoding the Regulatory Networks of Proteus mirabilis Under Succinic Acid Stress: A Multi-Omics Approach

Provisionally accepted
  • 1Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, China
  • 2Department of Microecology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China
  • 3Department of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, China

The final, formatted version of the article will be published soon.

Proteus mirabilis, a major catheter-associated urinary tract infection pathogen, forms antibiotic-resistant crystalline biofilms. Our study demonstrates succinic acid's multimodal inhibition of P.mirabilis via multi-omics analyses. At 15 mM, succinic acid reduced bacterial growth (≥70%) and biofilm formation (≥50%). Metabolomics revealed that succinic acid treatment induces dysregulation in the tryptophan and arginine metabolism, nucleotide biosynthesis, and tricarboxylic acid cycle in P.mirabilis. Transcriptomics revealed downregulated ribosomal genes, oxidative phosphorylation, and efflux pumps, alongside upregulated arginine transport. Proteomics showed suppression of T6SS virulence factors and iron acquisition proteins. We propose that succinic acid reduces K6 acetylation of the histone-like nucleoid structuring protein, enhancing its oligomerization to repress T6SS genes and inhibit biofilm formation. By targeting metabolism, virulence, and stress adaptation, succinic acid circumvents single-target resistance, offering a strategy to combat multidrug-resistant P.mirabilis through biofilm disruption and pathogenicity suppression.

Keywords: multi-omics, Succinic Acid, Biofilm formation, Proteus mirabilis, Urinary tract infection

Received: 03 Jul 2025; Accepted: 16 Sep 2025.

Copyright: © 2025 Yang, Cai, Zhang, Xu, Shen, Wang, You, Sha, Li and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Shanshan Sha, shanshan_sha@dmu.edu.cn
Huajun Li, lhjcmu@hotmail.com
Xiancheng Li, lxc2620@163.com

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