tetano
Editor, Senior Moderator
Brief Funct Genomics
. 2023 Feb 14;elad006.
doi: 10.1093/bfgp/elad006. Online ahead of print.
Detecting early-warning signals for influenza by dysregulated dynamic network biomarkers
Yanhao Huo[SUP] 1 [/SUP], Chuchu Li[SUP] 1 [/SUP], Yujie Li[SUP] 1 [/SUP], Xianbin Li[SUP] 1 2 [/SUP], Peng Xu[SUP] 1 2 [/SUP], Zhenshen Bao[SUP] 1 2 [/SUP], Wenbin Liu[SUP] 1 [/SUP]
Affiliations
Abstract
As a dynamical system, complex disease always has a sudden state transition at the tipping point, which is the result of the long-term accumulation of abnormal regulations. This paper proposes a novel approach to detect the early-warning signals of influenza A (H3N2 and H1N1) outbreaks by dysregulated dynamic network biomarkers (dysregulated DNBs) for individuals. The results of cross-validation show that our approach can detect early-warning signals before the symptom appears successfully. Unlike the traditional DNBs, our dysregulated DNBs are anchored and very few, which is essential for disease early diagnosis in clinical practice. Moreover, the genes of dysregulated DNBs are significantly enriched in the influenza-related pathways. The source code of this paper can be freely downloaded from https://github.com/YanhaoHuo/dysregulated-DNBs.git.
Keywords: DNBs; abnormal regulation; early-warning signal; influenza A; tipping point.
. 2023 Feb 14;elad006.
doi: 10.1093/bfgp/elad006. Online ahead of print.
Detecting early-warning signals for influenza by dysregulated dynamic network biomarkers
Yanhao Huo[SUP] 1 [/SUP], Chuchu Li[SUP] 1 [/SUP], Yujie Li[SUP] 1 [/SUP], Xianbin Li[SUP] 1 2 [/SUP], Peng Xu[SUP] 1 2 [/SUP], Zhenshen Bao[SUP] 1 2 [/SUP], Wenbin Liu[SUP] 1 [/SUP]
Affiliations
- PMID: 36787234
- DOI: 10.1093/bfgp/elad006
Abstract
As a dynamical system, complex disease always has a sudden state transition at the tipping point, which is the result of the long-term accumulation of abnormal regulations. This paper proposes a novel approach to detect the early-warning signals of influenza A (H3N2 and H1N1) outbreaks by dysregulated dynamic network biomarkers (dysregulated DNBs) for individuals. The results of cross-validation show that our approach can detect early-warning signals before the symptom appears successfully. Unlike the traditional DNBs, our dysregulated DNBs are anchored and very few, which is essential for disease early diagnosis in clinical practice. Moreover, the genes of dysregulated DNBs are significantly enriched in the influenza-related pathways. The source code of this paper can be freely downloaded from https://github.com/YanhaoHuo/dysregulated-DNBs.git.
Keywords: DNBs; abnormal regulation; early-warning signal; influenza A; tipping point.