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已发表论文
老年糖尿病周围神经病变合并肌少症患者的代谢组学与肠道菌群
Authors Wang X, Yu F, Cai Q, Li B, Li X, Fu C, Yu X, Yin W, Zeng S, Gao H, Cheng M
Received 30 April 2025
Accepted for publication 13 November 2025
Published 22 November 2025 Volume 2025:18 Pages 4335—4345
DOI https://doi.org/10.2147/DMSO.S537792
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Rebecca Baqiyyah Conway
Xue Wang,1– 3 Fei Yu,1– 3 Qian Cai,1– 3 Baoying Li,2,4 Xiaoli Li,5 Chunli Fu,1– 3 Xin Yu,1– 3 Wenbin Yin,1– 3 Shudong Zeng,1– 3 Haiqing Gao,1– 3 Mei Cheng1– 3
1Department of Geriatric Medicine & Laboratory of Gerontology and Anti-Aging Research, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China; 2Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital of Shandong University, Jinan, People’s Republic of China; 3Jinan Clinical Research Center for Geriatric Medicine (202132001), Jinan, Shandong, People’s Republic of China; 4Health Management Center (East Area), Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China; 5Department of Pharmacy, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
Correspondence: Mei Cheng, Department of Geriatric Medicine & Laboratory of Gerontology and Anti-Aging Research, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China, Email jncm65@email.sdu.edu.cn
Background: Diabetes peripheral neuropathy (DPN) is closely related to the occurrence and development of sarcopenia. However, the relevant early biological metabolites and their pathophysiological mechanism is unclear.
Aim: To explore the underlying mechanisms of Diabetic Peripheral Neuropathy with Sarcopenia (DPNS) by integrating metabolomics and 16S rRNA sequencing.
Methods: A total of 151 diabetic neuropathy patients were enrolled in the study. Untargeted metabolomics was performed using ultra-high-performance liquid. Chromatography-mass spectrometry, andgut microbiota was assessed through 16S rRNA sequencing. Differential metabolites and microbial taxa were identified, and theirassociations were explored using correlation analysis.
Results: A total of 376 differential metabolites were identified. Compared with the DPN group, the contents of glycerophosphocholine(GPC), taurine, and succinic acid in the DPNS group were significantly decreased, while that of 2-amino-1-methyl-6-phenylimidazo(4, 5-b)pyridine(PhIP), Sphingosine were increased. Gutmicrobiota analysis revealed reduced diversity in DPNS, with decreased beneficial genera (Faecalibacterium, Bacteroides) and increased pathogenic taxa (Streptococcus). Additionally, KEGG enrichment analysis showed that the mammalian target of necroptosis, sphingolipid metabolism, the mTOR signaling pathway, ABC transporters, and bile secretion pathways are closely related to DPNS.
Conclusion: We systematically explored the biomarkers and potential therapeutic targets in the patients with DPNS, which may provide new insights that may advance the treatment of sarcopenia.
Keywords: diabetes peripheral neuropathy, sarcopenia, gut microbiota, metabolome, biomarker
1Department of Geriatric Medicine & Laboratory of Gerontology and Anti-Aging Research, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China; 2Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital of Shandong University, Jinan, People’s Republic of China; 3Jinan Clinical Research Center for Geriatric Medicine (202132001), Jinan, Shandong, People’s Republic of China; 4Health Management Center (East Area), Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China; 5Department of Pharmacy, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
Correspondence: Mei Cheng, Department of Geriatric Medicine & Laboratory of Gerontology and Anti-Aging Research, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China, Email jncm65@email.sdu.edu.cn
Background: Diabetes peripheral neuropathy (DPN) is closely related to the occurrence and development of sarcopenia. However, the relevant early biological metabolites and their pathophysiological mechanism is unclear.
Aim: To explore the underlying mechanisms of Diabetic Peripheral Neuropathy with Sarcopenia (DPNS) by integrating metabolomics and 16S rRNA sequencing.
Methods: A total of 151 diabetic neuropathy patients were enrolled in the study. Untargeted metabolomics was performed using ultra-high-performance liquid. Chromatography-mass spectrometry, andgut microbiota was assessed through 16S rRNA sequencing. Differential metabolites and microbial taxa were identified, and theirassociations were explored using correlation analysis.
Results: A total of 376 differential metabolites were identified. Compared with the DPN group, the contents of glycerophosphocholine(GPC), taurine, and succinic acid in the DPNS group were significantly decreased, while that of 2-amino-1-methyl-6-phenylimidazo(4, 5-b)pyridine(PhIP), Sphingosine were increased. Gutmicrobiota analysis revealed reduced diversity in DPNS, with decreased beneficial genera (Faecalibacterium, Bacteroides) and increased pathogenic taxa (Streptococcus). Additionally, KEGG enrichment analysis showed that the mammalian target of necroptosis, sphingolipid metabolism, the mTOR signaling pathway, ABC transporters, and bile secretion pathways are closely related to DPNS.
Conclusion: We systematically explored the biomarkers and potential therapeutic targets in the patients with DPNS, which may provide new insights that may advance the treatment of sarcopenia.
Keywords: diabetes peripheral neuropathy, sarcopenia, gut microbiota, metabolome, biomarker