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Original Research

Xuanbai Chengqi Decoction Ameliorates Pulmonary Inflammation via Reshaping Gut Microbiota and Rectifying Th17/Treg Imbalance in a Murine Model of Chronic Obstructive Pulmonary Disease

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Pages 3317-3335 | Published online: 07 Dec 2021

Figures & data

Table 1 Components of XBCQ Prescription

Figure 1 The timeline of the animal test.

Abbreviations: COPD, chronic obstructive pulmonary disease; CSE, cigarette smoke extract; L-XBCQ, the low dose of XBCQ; M-XBCQ, the middle dose of XBCQ; H-XBCQ, the high dose of XBCQ; DEX, dexamethasone.
Figure 1 The timeline of the animal test.

Table 2 Baseline Characteristics of Participants

Figure 2 Flow cytometry of Th17 and Treg cells in the serum of COPD patients and healthy subjects. The representative plots of Th17 cells gated by CD3+CD4+IL17+ (A). The representative plots of Treg cells gated by CD3+ CD4+CD25+ Foxp3+ (B). The level of Th17 cells (C). The level of Treg cells (D). The Th17/Treg ratio (E). Data were expressed as mean ± SEM. ***P < 0.001, **P < 0.01, compared with healthy controls.

Figure 2 Flow cytometry of Th17 and Treg cells in the serum of COPD patients and healthy subjects. The representative plots of Th17 cells gated by CD3+CD4+IL17+ (A). The representative plots of Treg cells gated by CD3+ CD4+CD25+ Foxp3+ (B). The level of Th17 cells (C). The level of Treg cells (D). The Th17/Treg ratio (E). Data were expressed as mean ± SEM. ***P < 0.001, **P < 0.01, compared with healthy controls.

Figure 3 Major chemical compounds in XBCQ by HPLC analysis. Mixed standard substances (A). XBCQ sample, peaks 1, 2, 3, 4, 5, 6, and 7 are derived from amygdalin, rutin, isoquercitrin, aloe-emodin, rhein, emodin, and chrysophanol, respectively (B).

Figure 3 Major chemical compounds in XBCQ by HPLC analysis. Mixed standard substances (A). XBCQ sample, peaks 1, 2, 3, 4, 5, 6, and 7 are derived from amygdalin, rutin, isoquercitrin, aloe-emodin, rhein, emodin, and chrysophanol, respectively (B).

Figure 4 Effects of XBCQ treatment on body weight and lung function in CSE and LPS-induced COPD mice. Body weight changes throughout the entire duration of this study, in which mice were weighed every 5 days before administration and every 2 days after administration (A). The ratio of FEV0.2/FVC (B). Lung pathological slides by the H&E staining, where the red arrows indicate the alveolar septum rupture and the infiltration of peritracheal inflammatory cells (C). Data were expressed as mean ± SEM. ****P < 0.0001, ***P < 0.001, **P < 0.01, *P < 0.05, compared with the control group. ###P < 0.001, ##P < 0.01, #P < 0.05, compared with the COPD group.

Abbreviations: L-XBCQ, the low dose of XBCQ; M-XBCQ, the middle dose of XBCQ; H-XBCQ, the high dose of XBCQ; DEX, dexamethasone.
Figure 4 Effects of XBCQ treatment on body weight and lung function in CSE and LPS-induced COPD mice. Body weight changes throughout the entire duration of this study, in which mice were weighed every 5 days before administration and every 2 days after administration (A). The ratio of FEV0.2/FVC (B). Lung pathological slides by the H&E staining, where the red arrows indicate the alveolar septum rupture and the infiltration of peritracheal inflammatory cells (C). Data were expressed as mean ± SEM. ****P < 0.0001, ***P < 0.001, **P < 0.01, *P < 0.05, compared with the control group. ###P < 0.001, ##P < 0.01, #P < 0.05, compared with the COPD group.

Figure 5 Effects of the middle dose of XBCQ on the lung inflammation in COPD mice. The mRNA expressions of inflammatory cytokines including TNF-α, IL-1β, and IFN-γ (A). The immunohistochemistry staining of MMP-9 in the lung tissue (B). The integrated optical density (IOD) of MMP-9 (C). Data are expressed as mean ± SEM. ****P < 0.0001, ***P < 0.001, **P < 0.01, compared with the control group. ####P < 0.0001, ###P < 0.001, #P < 0.05, compared with the COPD group.

Abbreviations: M-XBCQ, the middle dose of XBCQ; DEX, dexamethasone.
Figure 5 Effects of the middle dose of XBCQ on the lung inflammation in COPD mice. The mRNA expressions of inflammatory cytokines including TNF-α, IL-1β, and IFN-γ (A). The immunohistochemistry staining of MMP-9 in the lung tissue (B). The integrated optical density (IOD) of MMP-9 (C). Data are expressed as mean ± SEM. ****P < 0.0001, ***P < 0.001, **P < 0.01, compared with the control group. ####P < 0.0001, ###P < 0.001, #P < 0.05, compared with the COPD group.

Figure 6 Flow cytometry of Th17 and Treg cells in the lung and colon of COPD mice. The representative plots of Th17 cells gated by CD3+CD4+IL17+ (A). The representative plots of Treg cells gated by CD3+CD4+CD25+Foxp3+ (B). The Th17/Treg ratio in lung and colon (C). Data are expressed as mean ± SEM. **P < 0.01, *P < 0.05, compared with control group. ##P < 0.01, #P < 0.05, compared with COPD group.

Abbreviations: M-XBCQ, the middle dose of XBCQ; DEX, dexamethasone.
Figure 6 Flow cytometry of Th17 and Treg cells in the lung and colon of COPD mice. The representative plots of Th17 cells gated by CD3+CD4+IL17+ (A). The representative plots of Treg cells gated by CD3+CD4+CD25+Foxp3+ (B). The Th17/Treg ratio in lung and colon (C). Data are expressed as mean ± SEM. **P < 0.01, *P < 0.05, compared with control group. ##P < 0.01, #P < 0.05, compared with COPD group.

Figure 7 The alterations in the colonic microbiota structure of COPD mice. Shannon and sobs index (A). Abundant phyla (B), families (C), and genera (D) in the colonic microbiota of mice. Principal coordinate analysis (PCoA) based on Bray-Curtis and Jaccard distances (E).

Abbreviations: M-XBCQ, the middle dose of XBCQ. *P < 0.05, compared with control group.
Figure 7 The alterations in the colonic microbiota structure of COPD mice. Shannon and sobs index (A). Abundant phyla (B), families (C), and genera (D) in the colonic microbiota of mice. Principal coordinate analysis (PCoA) based on Bray-Curtis and Jaccard distances (E).

Figure 8 Differentially abundant microbes among different groups. Differentially abundant genera identified by LEfSe with a linear discriminant analysis (LDA) score (threshold ≥ 2) (A). The bubble matrix shows the average relative abundances of these genera (B).

Abbreviation: M-XBCQ, the middle dose of XBCQ.
Figure 8 Differentially abundant microbes among different groups. Differentially abundant genera identified by LEfSe with a linear discriminant analysis (LDA) score (threshold ≥ 2) (A). The bubble matrix shows the average relative abundances of these genera (B).

Figure 9 Spearman correlation analysis between key genera and physiological parameters affected by experimental COPD. Cells are colored based on the Spearman correlation coefficient. The red indicates a positive correlation, and the blue indicates a negative correlation. Asterisks indicate statistically significant correlations, and hash signs indicate a significant correlation trend. ***P < 0.001, **P < 0.01, *P < 0.05, #P < 0.10.

Figure 9 Spearman correlation analysis between key genera and physiological parameters affected by experimental COPD. Cells are colored based on the Spearman correlation coefficient. The red indicates a positive correlation, and the blue indicates a negative correlation. Asterisks indicate statistically significant correlations, and hash signs indicate a significant correlation trend. ***P < 0.001, **P < 0.01, *P < 0.05, #P < 0.10.