Hsa_circRNA_405498 and hsa_circRNA_100033 serve as potential biomarkers for differential diagnosis of type 1 diabetes
© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
PURPOSE: The role of circular RNAs (circRNAs) in type 1 diabetes (T1D) is largely unknown. We aimed to identify some circRNAs as differential diagnostic biomarkers for T1D to discriminate patients with latent autoimmune diabetes in adults (LADA), and type 2 diabetes (T2D).
METHODS: The circRNA expression profiles were determined by Arraystar human circRNA microarray in T1D compared to controls (n = 6 each). The differentially expressed circRNAs were validated by RT-qPCR using a validation cohort with 20 T1D and 20 controls. The diagnostic performances of the candidate circRNAs and the clinical parameters were assessed using the logistic least absolute shrinkage and selection operator (LASSO) regression model in a larger cohort with 457 subjects including patients with T1D, T2D and LADA, and controls.
RESULTS: We identified 110 differentially expressed circular transcripts (53 upregulated and 57 downregulated) in T1D patients compared with controls. Further analysis showed that the levels of hsa_circRNA_405498 and hsa_circRNA_100033 were significantly downregulated in T1D compared to controls (both P < 0.05). Moreover, the expression levels of these two circRNAs showed sequential downregulation from controls, patients with T2D, LADA, to T1D (P < 0.05). The area under the curve (AUC) of receiver operating characteristic (ROC) plots in logistic LASSO regression model showed high diagnostic accuracy for combination model with the two circRNAs and some clinical parameters in discriminating T1D from LADA (AUC = 0.915), T2D (AUC = 0.993), and controls (AUC = 0.992).
CONCLUSIONS: Our study demonstrated that hsa_circRNA_405498 and hsa_circRNA_100033 are promising novel differential diagnostic biomarkers for T1D.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2023 |
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| Enthalten in: |
The Journal of clinical endocrinology and metabolism - (2023) vom: 29. Dez. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhang, Ziwei [VerfasserIn] |
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| Links: |
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| Themen: |
Autoimmune |
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| Anmerkungen: |
Date Revised 29.12.2023 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1210/clinem/dgad761 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM366480502 |
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| 100 | 1 | |a Zhang, Ziwei |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Hsa_circRNA_405498 and hsa_circRNA_100033 serve as potential biomarkers for differential diagnosis of type 1 diabetes |
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| 500 | |a published: Print-Electronic | ||
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| 520 | |a © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
| 520 | |a PURPOSE: The role of circular RNAs (circRNAs) in type 1 diabetes (T1D) is largely unknown. We aimed to identify some circRNAs as differential diagnostic biomarkers for T1D to discriminate patients with latent autoimmune diabetes in adults (LADA), and type 2 diabetes (T2D) | ||
| 520 | |a METHODS: The circRNA expression profiles were determined by Arraystar human circRNA microarray in T1D compared to controls (n = 6 each). The differentially expressed circRNAs were validated by RT-qPCR using a validation cohort with 20 T1D and 20 controls. The diagnostic performances of the candidate circRNAs and the clinical parameters were assessed using the logistic least absolute shrinkage and selection operator (LASSO) regression model in a larger cohort with 457 subjects including patients with T1D, T2D and LADA, and controls | ||
| 520 | |a RESULTS: We identified 110 differentially expressed circular transcripts (53 upregulated and 57 downregulated) in T1D patients compared with controls. Further analysis showed that the levels of hsa_circRNA_405498 and hsa_circRNA_100033 were significantly downregulated in T1D compared to controls (both P < 0.05). Moreover, the expression levels of these two circRNAs showed sequential downregulation from controls, patients with T2D, LADA, to T1D (P < 0.05). The area under the curve (AUC) of receiver operating characteristic (ROC) plots in logistic LASSO regression model showed high diagnostic accuracy for combination model with the two circRNAs and some clinical parameters in discriminating T1D from LADA (AUC = 0.915), T2D (AUC = 0.993), and controls (AUC = 0.992) | ||
| 520 | |a CONCLUSIONS: Our study demonstrated that hsa_circRNA_405498 and hsa_circRNA_100033 are promising novel differential diagnostic biomarkers for T1D | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Autoimmune | |
| 650 | 4 | |a circular RNA | |
| 650 | 4 | |a differential diagnosis | |
| 650 | 4 | |a noncoding RNA | |
| 650 | 4 | |a type 1 diabetes | |
| 700 | 1 | |a Luo, Shuoming |e verfasserin |4 aut | |
| 700 | 1 | |a Xiao, Zilin |e verfasserin |4 aut | |
| 700 | 1 | |a Yin, Wenfeng |e verfasserin |4 aut | |
| 700 | 1 | |a Shi, Xiajie |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Hongzhi |e verfasserin |4 aut | |
| 700 | 1 | |a Xie, Zhiguo |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Zhenqi |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Xia |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Zhiguang |e verfasserin |4 aut | |
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