Anlong
Xu on Zhengs (Patterns)
Zheng
uses the Yin-Yang, exterior-interior, cold-heat, and deficiency-excess definitions
to describe patients’ conditions, which are then managed by Zheng-specific
recipes (Figure 1). Modern 'omics techniques combined with bioinformatics and
bionetwork models through a systems biology approach have been applied to
investigate the differences between Zhengs and to identify novel biomarkers.
For instance, rheumatoid arthritis (RA) patients differentiated on the basis of
“hot” and “cold” Zhengs have been shown to be associated with different
underlying genomic and metabolomic profiles, with the RA hot group showing more
apoptotic activity than the cold group (4). Additionally, Liet al. used a
network-based computational model to understand Zheng in the context of the neuro-endocrine-immune
network and found that cold and hot Zhengs were closely related to a
metabolism-immune imbalance (5). Wang and colleagues investigated the urine
metabolome of patients with jaundice syndrome and its two subtypes of Yang
Huang (acute) and Yin Huang (chronic), and identified several biomarker
metabolites (6). However, most of the current studies have relied on only one
or two approaches for molecular profiling and have lacked an efficient method
to integrate data obtained at different 'omiclevels. These studies also did not
look at combining the analysis of molecular data with clinical variables,
possibly missing an opportunity to generate more convincing conclusions.
Considering the limitations of past studies, future efforts should integrate an
analysis for all levels of 'omics (e.g., genomics, transcriptomics,
epigenomics, and proteomics) data from a large number of patient samples for
different Zhengs and include an investigation of the prognostic and therapeutic
utilities of the data as a whole. Moreover, combining these molecular data with
patients’ clinical information could provide evidence-based theoretical
interpretations for Zhengs and enable an assessment of Zheng-based therapeutic
approaches.
The complete paper is available here.
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