ObjectiveMaxing Shigan Tang， as a traditional prescription for treating pneumonia， has a remarkable clinical effect. This study aims to systematically investigate the molecular mechanisms of Maxing Shigan Tang in treating pneumonia by integrating its structural and transcriptomic data at the target level. MethodsNP-TCMtarget， a developed systematic network pharmacological model focusing on drug targets， was used to mine the effect targets of Maxing Shigan Tang for treating pneumonia based on the transcriptome data. The structural targets of chemical components in Maxing Shigan Tang were predicted based on the structural information. The intersection of effect targets and structural targets was taken as the direct targets of Maxing Shigan Tang for treating pneumonia， and the remaining effect targets except direct targets were taken as indirect targets. Finally， functional enrichment analysis was performed on these targets to explore the molecular mechanism of Maxing Shigan Tang in treating pneumonia. ResultsA total of 1 604 effect targets and 816 structural targets of Maxing Shigan Tang for treating pneumonia were identified. Maxing Shigan Tang exerted its therapeutic effects through 164 direct targets and 1 440 indirect targets. The functional analysis of 1 604 effect targets predicted 19 significantly enriched pathways. Comprehensive analysis of these pathways showed that these targets were mainly linked to immune and inflammatory responses， such as cytokine-cytokine receptor interaction， necrosis factor （NF）-κB signaling pathway， and helper T cell 17 differentiation. ConclusionFocusing on the hierarchical feature of drug targets and the structural and transcriptomic data， this study systematically reveals the path of herbal component-direct target-indirect target-biological effects of Maxing Shigan Tang in treating pneumonia.

ObjectiveMaxing Shigan Tang， as a traditional prescription for treating pneumonia， has a remarkable clinical effect. This study aims to systematically investigate the molecular mechanisms of Maxing Shigan Tang in treating pneumonia by integrating its structural and transcriptomic data at the target level. MethodsNP-TCMtarget， a developed systematic network pharmacological model focusing on drug targets， was used to mine the effect targets of Maxing Shigan Tang for treating pneumonia based on the transcriptome data. The structural targets of chemical components in Maxing Shigan Tang were predicted based on the structural information. The intersection of effect targets and structural targets was taken as the direct targets of Maxing Shigan Tang for treating pneumonia， and the remaining effect targets except direct targets were taken as indirect targets. Finally， functional enrichment analysis was performed on these targets to explore the molecular mechanism of Maxing Shigan Tang in treating pneumonia. ResultsA total of 1 604 effect targets and 816 structural targets of Maxing Shigan Tang for treating pneumonia were identified. Maxing Shigan Tang exerted its therapeutic effects through 164 direct targets and 1 440 indirect targets. The functional analysis of 1 604 effect targets predicted 19 significantly enriched pathways. Comprehensive analysis of these pathways showed that these targets were mainly linked to immune and inflammatory responses， such as cytokine-cytokine receptor interaction， necrosis factor （NF）-κB signaling pathway， and helper T cell 17 differentiation. ConclusionFocusing on the hierarchical feature of drug targets and the structural and transcriptomic data， this study systematically reveals the path of herbal component-direct target-indirect target-biological effects of Maxing Shigan Tang in treating pneumonia.

ObjectivePneumonia is an infectious inflammation of the alveoli， distal airway， and interstitium caused by bacterial， viral， and other pathogens. Maxing Shigantang， originated from Treatise On Cold Damage Diseases， is a classic prescription for treating pneumonia， with significant clinical efficacy. However， its treatment mechanism is still elusive. MethodIn that paper， the transcriptome-based multi-scale network pharmacology was used to reveal the overall pharmacological mechanism of Maxing Shigantang in treating pneumonia from six scales of tissue， cell， pathological process， biological process， signaling pathway， and target. ResultAt the tissue level， Maxing Shigantang mainly acted on the focal tissue of pneumonia-lung and the main inflammatory immune tissues-blood and spleen. Analysis of cell， pathological process and biological process suggested that Maxing Shigantang could treat pneumonia by reversing inflammatory and immune functions and improving cardiopulmonary and vascular injury caused by pneumonia. Analysis of signaling pathway and target showed that Maxing Shigantang regulated inflammatory immune response pathways such as "coronavirus disease-COVID-19" and "Toll-like receptor signaling pathway"， and related targets such as "MAPKAPK3" and "NRG1". ConclusionThis paper， from molecular to tissue levels， indicated Maxing Shigantang treated pneumonia mainly by regulating inflammatory immune response and improving cardiopulmonary and vascular injury.

Objective: To establish the quality standard for Heluoshugan Capsules(Rhizoma Atractylodis macrocephalae, Radix Paeoniae alba, Rhizoma cyperi, Rhizoma sparganii, Radix et Rhizoma rhei, Radix Angelicae Sinensis, etc.). Methods: Paeoniflorin of Radix Paeoniae Alba was determined by HPLC. Rhizoma cyperi, Radix Paeoniae alba, Radix aucklandiae and Rhizoma sparganii were identified by microscopic identification, and Radix et Rhizoma Rehei was identified by TLC. Results: The average recovery rate of paeoniflorin was 99.18%, and RSD was 2.3% . The microscopic characteristics were obvious. The TLC sports developed were fairly clear, and the blank test showed no interference. Conclusion: The method developed is accurate and the reproducibility is good. The method can be used for quality control of the Heluoshugan C apsules.