Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 35, 26 April 2024


Open Access | Article

Clinical characteristics and differential gene expression analysis of chronic fatigue syndrome with sleep disorder

Junfeng Li 1 , Zhenxian Zhang * 2 , Jianing Shi 3
1 Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine
2 Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine
3 Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 35, 158-163
Published 26 April 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Junfeng Li, Zhenxian Zhang, Jianing Shi. Clinical characteristics and differential gene expression analysis of chronic fatigue syndrome with sleep disorder. TNS (2024) Vol. 35: 158-163. DOI: 10.54254/2753-8818/35/20240935.

Abstract

Objective Preliminary study of clinical features and differential gene expression in chronic fatigue syndrome with sleep disorders. Methods Healthy people, chronic fatigue, and CFS patients were included. The FS-14 Scale, PSQI Scale, and MoCA Scale were used to assess fatigue, sleep quality, and cognitive function. The Chronic Fatigue Syndrome targets were searched through the GEO database, and the sleep disorder targets were screened through the GeneBank, Genecards, CTD, and Disgenet databases. Cross-targets were analyzed for GO and KEGG enrichment. Results On the comparison of the degree of fatigue and sleep disorder, the CFS patients were more severe than the healthy group and the chronic fatigue group (P<0.01), and the chronic fatigue group was also more severe than the healthy group (P<0.01). On the comparison of cognitive function, CFS patients were more severe than the healthy group and chronic fatigue group (P<0.01), and there was no difference between the chronic fatigue group and the healthy group. Screening obtained 854 CFS disease targets and 3228 sleep disorder targets, totaling 172 cross-targets. Conclusion Patients with CFS have significant sleep disturbances and cognitive dysfunction, and fatigue may exacerbate cognitive dysfunction with prolonged disease duration. Mechanisms may be related to pathways of neurodegeneration-multiple diseases, lipid and atherosclerosis, Alzheimer's disease, circadian entrainment, etc., and regulated by pathways such as the cAMP signaling pathway, calcium signaling pathway, and other pathways. This study provides a research basis for exploring the mechanisms of CFS brain function disorders.

Keywords

Chronic fatigue syndrome; Sleep disorder; Differential gene analysis

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Modern Medicine and Global Health
ISBN (Print)
978-1-83558-395-1
ISBN (Online)
978-1-83558-396-8
Published Date
26 April 2024
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/35/20240935
Copyright
26 April 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated