Fig. 27 | Scientific Reports

Fig. 27

From: Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide’s multi-target mechanisms in sepsis

Fig. 27

Pseudotime Trajectory Analysis in CCI Patients. Pseudotime and entropy metrics reveal dynamic state transitions among immune cell types in a chronic critical illness (CCI) patient. (A) tSNE plot of immune cells from chronic critical illness (CCI) patients, annotated by major cell types using the majorityvotingmethod. (B,C) Trajectory origin is traced to classical monocytes, HSC/MPP, and megakaryocyte/platelet clusters, followed sequentially by DC2 and plasmacytoid dendritic cells (pDC), entry into T-cell lineages, differentiation into CD16⁺ NK cells, and eventual maturation into B-cell populations. (D–V) Panels display probability‐based lineage paths from the root to each of the 19 terminal states, with bar plots on the right of each panel indicating fate probabilities. Plasma cells and pDCs exhibit the highest differentiation probabilities (> 0.8), highlighting their dominant roles in immune regulation during CCI.

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