Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome.

Metselaar PI, Mendoza-Maldonado L, Li Yim AYF, Abarkan I, Henneman P, Te Velde AA, Schönhuth A, Bosch JA, Kraneveld AD, Lopez-Rincon A (2021)
Scientific reports 11(1): 4541.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Metselaar, Paula I; Mendoza-Maldonado, Lucero; Li Yim, Andrew Yung Fong; Abarkan, Ilias; Henneman, Peter; Te Velde, Anje A; Schönhuth, AlexanderUniBi ; Bosch, Jos A; Kraneveld, Aletta D; Lopez-Rincon, Alejandro
Abstract / Bemerkung
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic disorder characterized by disabling fatigue. Several studies have sought to identify diagnostic biomarkers, with varying results. Here, we innovate this process by combining both mRNA expression and DNA methylation data. We performed recursive ensemble feature selection (REFS) on publicly available mRNA expression data in peripheral blood mononuclear cells (PBMCs) of 93 ME/CFS patients and 25 healthy controls, and found a signature of 23 genes capable of distinguishing cases and controls. REFS highly outperformed other methods, with an AUC of 0.92. We validated the results on a different platform (AUC of 0.95) and in DNA methylation data obtained from four public studies on ME/CFS (99 patients and 50 controls), identifying 48 gene-associated CpGs that predicted disease status as well (AUC of 0.97). Finally, ten of the 23 genes could be interpreted in the context of the derailed immune system of ME/CFS.
Erscheinungsjahr
2021
Zeitschriftentitel
Scientific reports
Band
11
Ausgabe
1
Art.-Nr.
4541
eISSN
2045-2322
Page URI
https://pub.uni-bielefeld.de/record/2952469

Zitieren

Metselaar PI, Mendoza-Maldonado L, Li Yim AYF, et al. Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific reports. 2021;11(1): 4541.
Metselaar, P. I., Mendoza-Maldonado, L., Li Yim, A. Y. F., Abarkan, I., Henneman, P., Te Velde, A. A., Schönhuth, A., et al. (2021). Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific reports, 11(1), 4541. https://doi.org/10.1038/s41598-021-83660-9
Metselaar, P. I., Mendoza-Maldonado, L., Li Yim, A. Y. F., Abarkan, I., Henneman, P., Te Velde, A. A., Schönhuth, A., Bosch, J. A., Kraneveld, A. D., and Lopez-Rincon, A. (2021). Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific reports 11:4541.
Metselaar, P.I., et al., 2021. Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific reports, 11(1): 4541.
P.I. Metselaar, et al., “Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome.”, Scientific reports, vol. 11, 2021, : 4541.
Metselaar, P.I., Mendoza-Maldonado, L., Li Yim, A.Y.F., Abarkan, I., Henneman, P., Te Velde, A.A., Schönhuth, A., Bosch, J.A., Kraneveld, A.D., Lopez-Rincon, A.: Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific reports. 11, : 4541 (2021).
Metselaar, Paula I, Mendoza-Maldonado, Lucero, Li Yim, Andrew Yung Fong, Abarkan, Ilias, Henneman, Peter, Te Velde, Anje A, Schönhuth, Alexander, Bosch, Jos A, Kraneveld, Aletta D, and Lopez-Rincon, Alejandro. “Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome.”. Scientific reports 11.1 (2021): 4541.

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 33633136
PubMed | Europe PMC

Suchen in

Google Scholar