Hangping Zheng, Yue Gao, Xiaoming Zhu, Yuanpin Zhang, Yujia Li, Wanwan Sun, Lijin Ji, Xiaoxia Liu, Jie Zhang, Bin Lu, Yiming Li, Shuo Zhang
{"title":"糖尿病远端对称性多发性神经病患者血清代谢蛋白质组的特征","authors":"Hangping Zheng, Yue Gao, Xiaoming Zhu, Yuanpin Zhang, Yujia Li, Wanwan Sun, Lijin Ji, Xiaoxia Liu, Jie Zhang, Bin Lu, Yiming Li, Shuo Zhang","doi":"10.1002/prca.202300133","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>The pathophysiological of diabetic distal symmetric polyneuropathy (DSPN) remains to be elucidated and there are no diagnostic or prognostic biomarkers for the condition. In this explorative proteomic study, metabolic proteome profiling of serum in patients with/without DSPN was analyzed. We aimed to discover proteins with different abundance ranges through proximity extension assay (PEA) technology.</p><p><strong>Methods: </strong>Temperature quantitative sensory testing (QST) and electromyography (EMG) were used to access the small- and large-fiber function of all participants, respectively. The metabolic proteome profile of serum was analyzed using PEA technology (Olink Target 96 METABOLISM panel).</p><p><strong>Results: </strong>We evaluated serum from patients without DSPN (n = 27), with small-fiber neuropathy (SFN, n = 25) and with mixed small- and large-fiber neuropathy (MSLFN, n = 24). Fifteen proteins, which were especially related to immune response, insulin resistance, and lipid metabolism, were significantly different between patients without DSPN and with MSLFN. Besides, seven proteins, especially related to extracellular structure organization, were significantly different between serum from patients with SFN and with MSLFN. What's more, serum from patients without DSPN showed that three proteins, related to immune response, altered significantly compared to serum from patients with SFN.</p><p><strong>Conclusions: </strong>This was the first study that characterized the metabolic proteomic profile of serum in DSPN patients by analyzing a panel of 92 metabolic proteins using PEA technology.</p>","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":" ","pages":"e202300133"},"PeriodicalIF":2.1000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of the Metabolic Proteome of Serum From Patients With Diabetic Distal Symmetric Polyneuropathy.\",\"authors\":\"Hangping Zheng, Yue Gao, Xiaoming Zhu, Yuanpin Zhang, Yujia Li, Wanwan Sun, Lijin Ji, Xiaoxia Liu, Jie Zhang, Bin Lu, Yiming Li, Shuo Zhang\",\"doi\":\"10.1002/prca.202300133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>The pathophysiological of diabetic distal symmetric polyneuropathy (DSPN) remains to be elucidated and there are no diagnostic or prognostic biomarkers for the condition. In this explorative proteomic study, metabolic proteome profiling of serum in patients with/without DSPN was analyzed. We aimed to discover proteins with different abundance ranges through proximity extension assay (PEA) technology.</p><p><strong>Methods: </strong>Temperature quantitative sensory testing (QST) and electromyography (EMG) were used to access the small- and large-fiber function of all participants, respectively. The metabolic proteome profile of serum was analyzed using PEA technology (Olink Target 96 METABOLISM panel).</p><p><strong>Results: </strong>We evaluated serum from patients without DSPN (n = 27), with small-fiber neuropathy (SFN, n = 25) and with mixed small- and large-fiber neuropathy (MSLFN, n = 24). Fifteen proteins, which were especially related to immune response, insulin resistance, and lipid metabolism, were significantly different between patients without DSPN and with MSLFN. Besides, seven proteins, especially related to extracellular structure organization, were significantly different between serum from patients with SFN and with MSLFN. What's more, serum from patients without DSPN showed that three proteins, related to immune response, altered significantly compared to serum from patients with SFN.</p><p><strong>Conclusions: </strong>This was the first study that characterized the metabolic proteomic profile of serum in DSPN patients by analyzing a panel of 92 metabolic proteins using PEA technology.</p>\",\"PeriodicalId\":20571,\"journal\":{\"name\":\"PROTEOMICS – Clinical Applications\",\"volume\":\" \",\"pages\":\"e202300133\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PROTEOMICS – Clinical Applications\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1002/prca.202300133\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PROTEOMICS – Clinical Applications","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/prca.202300133","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/23 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Characterization of the Metabolic Proteome of Serum From Patients With Diabetic Distal Symmetric Polyneuropathy.
Aims: The pathophysiological of diabetic distal symmetric polyneuropathy (DSPN) remains to be elucidated and there are no diagnostic or prognostic biomarkers for the condition. In this explorative proteomic study, metabolic proteome profiling of serum in patients with/without DSPN was analyzed. We aimed to discover proteins with different abundance ranges through proximity extension assay (PEA) technology.
Methods: Temperature quantitative sensory testing (QST) and electromyography (EMG) were used to access the small- and large-fiber function of all participants, respectively. The metabolic proteome profile of serum was analyzed using PEA technology (Olink Target 96 METABOLISM panel).
Results: We evaluated serum from patients without DSPN (n = 27), with small-fiber neuropathy (SFN, n = 25) and with mixed small- and large-fiber neuropathy (MSLFN, n = 24). Fifteen proteins, which were especially related to immune response, insulin resistance, and lipid metabolism, were significantly different between patients without DSPN and with MSLFN. Besides, seven proteins, especially related to extracellular structure organization, were significantly different between serum from patients with SFN and with MSLFN. What's more, serum from patients without DSPN showed that three proteins, related to immune response, altered significantly compared to serum from patients with SFN.
Conclusions: This was the first study that characterized the metabolic proteomic profile of serum in DSPN patients by analyzing a panel of 92 metabolic proteins using PEA technology.
期刊介绍：
PROTEOMICS - Clinical Applications has developed into a key source of information in the field of applying proteomics to the study of human disease and translation to the clinic. With 12 issues per year, the journal will publish papers in all relevant areas including:
-basic proteomic research designed to further understand the molecular mechanisms underlying dysfunction in human disease
-the results of proteomic studies dedicated to the discovery and validation of diagnostic and prognostic disease biomarkers
-the use of proteomics for the discovery of novel drug targets
-the application of proteomics in the drug development pipeline
-the use of proteomics as a component of clinical trials.
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