Chronic hepatitis B: dynamic change in Traditional Chinese Medicine syndrome by dynamic network biomarkers

Abstract Background In traditional Chinese medicine (TCM) clinical practice, TCM syndromes help to understand human homeostasis and guide individualized treatment. However, the TCM syndrome changes with disease progression, of which the scientific basis and mechanism remain unclear. Methods To demon...

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Main Authors: Yiyu Lu (Author), Zhaoyuan Fang (Author), Tao Zeng (Author), Meiyi Li (Author), Qilong Chen (Author), Hui Zhang (Author), Qianmei Zhou (Author), Yiyang Hu (Author), Luonan Chen (Author), Shibing Su (Author)
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Published: BMC, 2019-11-01T00:00:00Z.
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001 doaj_af8b19bcfefd46d492053fb1e8f84022
042 |a dc 
100 1 0 |a Yiyu Lu  |e author 
700 1 0 |a Zhaoyuan Fang  |e author 
700 1 0 |a Tao Zeng  |e author 
700 1 0 |a Meiyi Li  |e author 
700 1 0 |a Qilong Chen  |e author 
700 1 0 |a Hui Zhang  |e author 
700 1 0 |a Qianmei Zhou  |e author 
700 1 0 |a Yiyang Hu  |e author 
700 1 0 |a Luonan Chen  |e author 
700 1 0 |a Shibing Su  |e author 
245 0 0 |a Chronic hepatitis B: dynamic change in Traditional Chinese Medicine syndrome by dynamic network biomarkers 
260 |b BMC,   |c 2019-11-01T00:00:00Z. 
500 |a 10.1186/s13020-019-0275-4 
500 |a 1749-8546 
520 |a Abstract Background In traditional Chinese medicine (TCM) clinical practice, TCM syndromes help to understand human homeostasis and guide individualized treatment. However, the TCM syndrome changes with disease progression, of which the scientific basis and mechanism remain unclear. Methods To demonstrate the underlying mechanism of dynamic changes in the TCM syndrome, we applied a dynamic network biomarker (DNB) algorithm to obtain the DNBs of changes in the TCM syndrome, based on the transcriptomic data of patients with chronic hepatitis B and typical TCM syndromes, including healthy controls and patients with liver-gallbladder dampness-heat syndrome (LGDHS), liver-depression spleen-deficiency syndrome (LDSDS), and liver-kidney yin-deficiency syndrome (LKYDS). The DNB model exploits collective fluctuations and correlations of the observed genes, then diagnoses the critical state. Results Our results showed that the DNBs of TCM syndromes were comprised of 52 genes and the tipping point occurred at the LDSDS stage. Meanwhile, there were numerous differentially expressed genes between LGDHS and LKYDS, which highlighted the drastic changes before and after the tipping point, implying the 52 DNBs could serve as early-warning signals of the upcoming change in the TCM syndrome. Next, we validated DNBs by cytokine profiling and isobaric tags for relative and absolute quantitation (iTRAQ). The results showed that PLG (plasminogen) and coagulation factor XII (F12) were significantly expressed during the progression of TCM syndrome from LGDHS to LKYDS. Conclusions This study provides a scientific understanding of changes in the TCM syndrome. During this process, the cytokine system was involved all the time. The DNBs PLG and F12 were confirmed to significantly change during TCM-syndrome progression and indicated a potential value of DNBs in auxiliary diagnosis of TCM syndrome in CHB. Trial registration Identifier: NCT03189992. Registered on June 4, 2017. Retrospectively registered (http://www.clinicaltrials.gov) 
546 |a EN 
690 |a Disease progression 
690 |a Dynamic network biomarkers 
690 |a Chronic hepatitis B 
690 |a Systems biology 
690 |a Traditional Chinese Medicine syndrome 
690 |a Other systems of medicine 
690 |a RZ201-999 
655 7 |a article  |2 local 
786 0 |n Chinese Medicine, Vol 14, Iss 1, Pp 1-13 (2019) 
787 0 |n http://link.springer.com/article/10.1186/s13020-019-0275-4 
787 0 |n https://doaj.org/toc/1749-8546 
856 4 1 |u https://doaj.org/article/af8b19bcfefd46d492053fb1e8f84022  |z Connect to this object online.