Page 9 - 北京京煤集团总医院第十一届·2023学术年会论文集

北京京煤集团总医院 第十一届·2023 学术年会论文集

asthma (Figure 3A) (P < 0.05). In addition, the immune function scores of the two groups were
compared. The results revealed that, in the healthy group, the participants’ APC co-stimulation,

immune checkpoint, and T cell co-inhibition scores were significantly higher than in patients with
severe asthma (Figure 3B) (P < 0.05).
Furthermore, the correlation analysis basically showed a positive correlation between immune
cells (Figure 3C). Similar positive correlations were also observed between immune functions

(Figure 3D).

Figure 3: Immune analysis of patients with severe asthma and healthy subjects. (A) Immune cell
scores of patients with severe asthma and healthy individuals. (B) Immune function scores of
patients with severe asthma and healthy individuals. (C) Correlation analysis of immune cells. (D)
Correlation analysis of immune functions.

3.3 Construction of a prognostic model
A PPI network was constructed; it included 80 nodes and 320 edges (Figure 4A). The ten CRs,
SMARCB1, CHD8, EP300, SETD1A, KMT2B, KMT2A, SETD2, CHD4, SMARCC1, and SETDB1,

in the PPI network with the highest correlations with immune genes and immune functions were
further analyzed (Figure 4B). The results showed a negative correlation between SMARCC1 and T
helper cells (r = -0.48) and a negative correlation between SETD2 and APC co-inhibition, para-
inflammation, treg, and type I IFN responses (r = -0.48, -0.52, -0.55, and -0.49, respectively). There

were also positive correlations between KMT2B and APC co-inhibition (r = 0.57) and between
CHD8 and mast cells (r = 0.48).

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