Lipidomic analysis coupled with machine learning identifies unique urinary lipid signatures in patients with interstitial cystitis/bladder pain syndrome.
Saved in:
| Title: | Lipidomic analysis coupled with machine learning identifies unique urinary lipid signatures in patients with interstitial cystitis/bladder pain syndrome. |
|---|---|
| Authors: | Iwaki T; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.; Department of Urology, Chiba Tokushukai Hospital, Chiba, Japan., Kurano M; Department of Clinical Laboratory Medicine, The University of Tokyo, Tokyo, Japan. kurano-tky@g.ecc.u-tokyo.ac.jp., Sumitani M; Department of Pain and Palliative Medicine, The University of Tokyo Hospital, Tokyo, Japan., Niimi A; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Nomiya A; Department of Urology, Japan Organization of Occupational Health and Safety, Kanto Rosai Hospital, Kanagawa, Japan., Kamei J; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Taguchi S; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Yamada Y; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Sato Y; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.; Department of Urology, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan., Nakamura M; Department of Urology, NTT Medical Center Tokyo, Tokyo, Japan., Yamada D; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Minagawa T; Department of Urology, Shinshu University School of Medicine, Nagano, Japan., Fukuhara H; Department of Urology, Kyorin University School of Medicine, Tokyo, Japan., Kume H; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Homma Y; Department of Interstitial Cystitis Medicine, Kyorin University School of Medicine, Tokyo, Japan., Akiyama Y; Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. yoshiyuki-akiyama@shinshu-u.ac.jp.; Department of Urology, Shinshu University School of Medicine, Nagano, Japan. yoshiyuki-akiyama@shinshu-u.ac.jp. |
| Source: | World journal of urology [World J Urol] 2025 Apr 18; Vol. 43 (1), pp. 233. Date of Electronic Publication: 2025 Apr 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 8307716 Publication Model: Electronic Cited Medium: Internet ISSN: 1433-8726 (Electronic) Linking ISSN: 07244983 NLM ISO Abbreviation: World J Urol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1433-8726 |
|---|---|
| DOI: | 10.1007/s00345-025-05628-y |
