Publication Name	World Journal of Diabetes
Manuscript ID	106218
Country	China

Received	2025-02-20 07:44
Peer-Review Started	2025-03-03 01:30
To Make the First Decision
Return for Revision	2025-03-26 06:20
Revised	2025-04-08 07:49
Second Decision	2025-05-19 13:42
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-05-27 08:30
Articles in Press	2025-05-27 08:30
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-07-03 06:33
Publish the Manuscript Online	2025-07-15 08:26

ISSN	1948-9358 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Endocrinology & Metabolism
Manuscript Type	Review
Article Title	Illuminating diabetes via multi-omics: Unraveling disease mechanisms and advancing personalized therapy
Manuscript Source	Invited Manuscript
All Author List	Chen-Meng Song, Ta-Hui Lin, Hou-Tan Huang and Jeng-Yuan Yao
Funding Agency and Grant Number
Corresponding Author	Jeng-Yuan Yao, Associate Professor, PhD, Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, No. 1999 Guankou Middle Road, Jimei District, Xiamen 361023, Fujian Province, China. 201500080004@xmmc.edu.cn
Key Words	Diabetes mellitus; Metabolomics; Multi-omics; Precision medicine; Genomics; Transcriptomics; Proteomics; Biomarker discovery; Personalized therapy
Core Tip	Metabolomics offers key insights into the distinct metabolic pathways of each diabetes mellitus subtype. By integrating multiple omics layers-genomic, transcriptomic, proteomic, and microbiomic-researchers can refine disease classification, identify novel biomarkers, and develop personalized interventions, substantially elevating the efficacy of diabetes management.
Publish Date	2025-07-15 08:26
Citation	<p>Song CM, Lin TH, Huang HT, Yao JY. Illuminating diabetes via multi-omics: Unraveling disease mechanisms and advancing personalized therapy. <i>World J Diabetes</i> 2025; 16(7): 106218</p>
URL	https://www.wjgnet.com/1948-9358/full/v16/i7/106218.htm
DOI	https://dx.doi.org/10.4239/wjd.v16.i7.106218

Full Article (PDF)	WJD-16-106218-with-cover.pdf
Manuscript File	106218_Auto_Edited_035743.docx
Answering Reviewers	106218-answering-reviewers.pdf
Audio Core Tip	106218-audio.mp3
Conflict-of-Interest Disclosure Form	106218-conflict-of-interest-statement.pdf
Copyright License Agreement	106218-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	106218-non-native-speakers.pdf
Peer-review Report	106218-peer-reviews.pdf
Journal Editor-in-Chief Review Report	106218-journal-editor-in-chief.pdf
Scientific Misconduct Check	106218-scientific-misconduct-check.png
Scientific Editor Work List	106218-scientific-editor-work-list.pdf
CrossCheck Report	106218-crosscheck-report.pdf