Current Biotechnology ›› 2026, Vol. 16 ›› Issue (2): 439-451.DOI: 10.19586/j.2095-2341.2025.0155
• Articles • Previous Articles
Mingchi LI(
), Zengfang SHI, Guoshuai ZHANG, Qi YAN, Jiale WANG, Xinke ZHANG, Linfang HUANG(
)
Received:2025-11-10
Accepted:2025-12-25
Online:2026-03-25
Published:2026-04-27
Contact:
Linfang HUANG
CLC Number:
Mingchi LI, Zengfang SHI, Guoshuai ZHANG, Qi YAN, Jiale WANG, Xinke ZHANG, Linfang HUANG. Based on Network Pharmacology and Mendelian Randomization to Investigate the Mechanism of Hyssopus cuspidatus Boriss. in the Treatment of Asthma[J]. Current Biotechnology, 2026, 16(2): 439-451.
| 指数 | HC-1 | HC-2 | HC-3 |
|---|---|---|---|
| Zmmp000635 | 7 469 051.23 | 4 035 131.87 | 5 939 557.79 |
| Zbqn001288 | 49 571.91 | 482 690.60 | 424 954.42 |
| Lcsp001861 | 659 985.09 | 717 498.71 | 876 080.42 |
| MWS0933 | 363 905.57 | 367 458.19 | 387 707.09 |
| pme3827 | 825 843.70 | 2 234 150.84 | 989 242.46 |
| pme2914 | 2 554 762.19 | 3 656 173.29 | 4 581 013.42 |
| MWS04559g | 1 748 377.85 | 2 359 113.95 | 1 812 424.40 |
| pme0181 | 1 285 062.03 | 1 291 185.05 | 1 377 214.11 |
| mws3109 | 177 738.26 | 229 557.10 | 190 673.94 |
| MWSprf117 | 318 576.06 | 365 157.04 | 384 235.64 |
Table 1 Statistics of metabolite quantity
| 指数 | HC-1 | HC-2 | HC-3 |
|---|---|---|---|
| Zmmp000635 | 7 469 051.23 | 4 035 131.87 | 5 939 557.79 |
| Zbqn001288 | 49 571.91 | 482 690.60 | 424 954.42 |
| Lcsp001861 | 659 985.09 | 717 498.71 | 876 080.42 |
| MWS0933 | 363 905.57 | 367 458.19 | 387 707.09 |
| pme3827 | 825 843.70 | 2 234 150.84 | 989 242.46 |
| pme2914 | 2 554 762.19 | 3 656 173.29 | 4 581 013.42 |
| MWS04559g | 1 748 377.85 | 2 359 113.95 | 1 812 424.40 |
| pme0181 | 1 285 062.03 | 1 291 185.05 | 1 377 214.11 |
| mws3109 | 177 738.26 | 229 557.10 | 190 673.94 |
| MWSprf117 | 318 576.06 | 365 157.04 | 384 235.64 |
| 靶点 | 木犀草素 | 异鼠李素 | 槲皮万寿菊素 | 高良姜素 | 金圣草黄素 | 香叶木素 |
|---|---|---|---|---|---|---|
| AKT1 | -6.4 | -6.3 | -6.3 | -6.2 | -6.2 | -6.3 |
| STAT3 | -8 | -8.2 | -8.2 | -7.4 | -8 | -8.0 |
| EGFR | -9.7 | -9.6 | -10 | -9.5 | -9.5 | -9.8 |
| PTGS2 | -9.5 | -9.1 | -9.7 | -8.9 | -9.1 | -9.2 |
| SRC | -12.5 | -11.7 | -12.2 | -12.2 | -11.9 | -11.5 |
Table 2 Molecular docking results of major active components and core targets of Hyssopus cuspidatus Boriss. for asthma treatment
| 靶点 | 木犀草素 | 异鼠李素 | 槲皮万寿菊素 | 高良姜素 | 金圣草黄素 | 香叶木素 |
|---|---|---|---|---|---|---|
| AKT1 | -6.4 | -6.3 | -6.3 | -6.2 | -6.2 | -6.3 |
| STAT3 | -8 | -8.2 | -8.2 | -7.4 | -8 | -8.0 |
| EGFR | -9.7 | -9.6 | -10 | -9.5 | -9.5 | -9.8 |
| PTGS2 | -9.5 | -9.1 | -9.7 | -8.9 | -9.1 | -9.2 |
| SRC | -12.5 | -11.7 | -12.2 | -12.2 | -11.9 | -11.5 |
| 暴露 | nSNP | 方法 | OR(95% CI) | P值 |
|---|---|---|---|---|
| AKT1 | 7 | MR-Egger回归 | 1.10(0.96~1.27) | 0.235 |
| 加权中位数法 | 1.09(1.00~1.18) | 0.038 | ||
| 逆方差加权法 | 1.10(1.02~1.18) | 0.013 | ||
| 简单模式法 | 1.06(0.89~1.26) | 0.559 | ||
| 加权模式法 | 1.08(0.99~1.18) | 0.133 | ||
| STAT3 | 3 | MR-Egger回归 | 0.97(0.66~1.45) | 0.921 |
| 加权中位数法 | 1.01(0.87~1.17) | 0.897 | ||
| 逆方差加权法 | 0.99(0.86~1.13) | 0.880 | ||
| 简单模式法 | 1.01(0.82~1.24) | 0.948 | ||
| 加权模式法 | 1.01(0.87~1.18) | 0.907 | ||
| EGFR | 16 | MR-Egger回归 | 0.85(0.16~4.46) | 0.848 |
| 加权中位数法 | 1.22(0.61~2.46) | 0.573 | ||
| 逆方差加权法 | 1.11(0.68~1.82) | 0.667 | ||
| 简单模式法 | 1.14(0.36~3.63) | 0.828 | ||
| 加权模式法 | 1.45(0.61~3.46) | 0.420 | ||
| PTGS2 | 12 | MR-Egger回归 | 1.04(0.94~1.15) | 0.436 |
| 加权中位数法 | 0.97(0.88~1.06) | 0.469 | ||
| 逆方差加权法 | 0.98(0.92~1.05) | 0.551 | ||
| 简单模式法 | 0.93(0.79~1.09) | 0.372 | ||
| 加权模式法 | 1.02(0.92~1.12) | 0.752 | ||
| SRC | 5 | MR-Egger回归 | 0.87(0.64~1.18) | 0.428 |
| 加权中位数法 | 0.97(0.83~1.12) | 0.655 | ||
| 逆方差加权法 | 1.00(0.89~1.14) | 0.943 | ||
| 简单模式法 | 0.95(0.75~1.20) | 0.701 | ||
| 加权模式法 | 0.95(0.82~1.11) | 0.559 |
Table 3 Results of Mendelian randomization analysis
| 暴露 | nSNP | 方法 | OR(95% CI) | P值 |
|---|---|---|---|---|
| AKT1 | 7 | MR-Egger回归 | 1.10(0.96~1.27) | 0.235 |
| 加权中位数法 | 1.09(1.00~1.18) | 0.038 | ||
| 逆方差加权法 | 1.10(1.02~1.18) | 0.013 | ||
| 简单模式法 | 1.06(0.89~1.26) | 0.559 | ||
| 加权模式法 | 1.08(0.99~1.18) | 0.133 | ||
| STAT3 | 3 | MR-Egger回归 | 0.97(0.66~1.45) | 0.921 |
| 加权中位数法 | 1.01(0.87~1.17) | 0.897 | ||
| 逆方差加权法 | 0.99(0.86~1.13) | 0.880 | ||
| 简单模式法 | 1.01(0.82~1.24) | 0.948 | ||
| 加权模式法 | 1.01(0.87~1.18) | 0.907 | ||
| EGFR | 16 | MR-Egger回归 | 0.85(0.16~4.46) | 0.848 |
| 加权中位数法 | 1.22(0.61~2.46) | 0.573 | ||
| 逆方差加权法 | 1.11(0.68~1.82) | 0.667 | ||
| 简单模式法 | 1.14(0.36~3.63) | 0.828 | ||
| 加权模式法 | 1.45(0.61~3.46) | 0.420 | ||
| PTGS2 | 12 | MR-Egger回归 | 1.04(0.94~1.15) | 0.436 |
| 加权中位数法 | 0.97(0.88~1.06) | 0.469 | ||
| 逆方差加权法 | 0.98(0.92~1.05) | 0.551 | ||
| 简单模式法 | 0.93(0.79~1.09) | 0.372 | ||
| 加权模式法 | 1.02(0.92~1.12) | 0.752 | ||
| SRC | 5 | MR-Egger回归 | 0.87(0.64~1.18) | 0.428 |
| 加权中位数法 | 0.97(0.83~1.12) | 0.655 | ||
| 逆方差加权法 | 1.00(0.89~1.14) | 0.943 | ||
| 简单模式法 | 0.95(0.75~1.20) | 0.701 | ||
| 加权模式法 | 0.95(0.82~1.11) | 0.559 |
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