Bronchial asthma （abbreviated as asthma） is one of the common inflammatory diseases in the chronic airway of the respiratory system. Recurrent wheezing，shortness of breath，chest tightness， and cough are the main symptoms，which are easy to repeat，protracted and difficult to cure，and seriously affect the patients' life quality. The Janus kinases （JAK）/signal transducers and activators of transcription （STAT） signaling pathway is involved in the regulation of cellular inflammatory response，oxidative stress，apoptosis， and other biological processes. It plays a key role in the occurrence and development of asthma. Traditional Chinese medicine intervenes in asthma based on the JAK/STAT signaling pathway in multiple stages and targets. The specific mechanism is related to inhibiting airway inflammation and anti-oxidative stress，alleviating airway remodeling，affecting airway mucus hypersecretion，inhibiting high airway response， and regulating immune response，which demonstrates the characteristics and advantages of traditional Chinese medicine in treating asthma. Based on this，by referring to relevant literature，this paper systematically sorted out the JAK/STAT signaling pathway and its action mechanism in the occurrence and development of asthma. It also systematically summarized the efficacy and specific mechanism of monomers， compounds， and compound formulas of traditional Chinese medicine， as well as the external treatment methods by regulating the JAK/STAT signaling pathway to intervene in asthma. It aims to effectively prevent and control the occurrence and development of asthma in clinic， providing a reference for the methods of prevention and treatment of asthma with traditional Chinese medicine.

Bronchial asthma （abbreviated as asthma） is one of the common chronic airway inflammatory diseases in the respiratory system， which is difficult to cure. Airway mucus hypersecretion （AMH） is an important factor leading to acute asthma attacks. Traditional Chinese medicine （TCM） possesses therapeutic advantages characterized by multiple pathways， multiple targets， and multiple links， and its mechanism of action in intervening in AMH has gradually drawn attention. TCM can effectively alleviate the symptoms of patients by intervening in asthma through methods such as eliminating phlegm and eliminating fluid retention. This review finds that the pathogenesis of asthma-associated AMH is correlated with decreased mucociliary clearance function and enhanced mucus secretion function； single TCM （such as Platycodon grandiflorum）， effective components of TCM （such as pinellia polysaccharides）， and compound prescriptions （mainly heat-clearing and phlegm-resolving prescriptions， etc.） can improve asthma-associated AMH by regulating the PI3K/Akt and JAK/STAT signaling pathways， inhibiting airway inflammatory responses， oxidative stress， and recovering the water-salt ratio of the mucus layer itself.

ObjectiveTo clarify the graded quantitative diagnostic characteristics of lung qi deficiency syndrome in chronic obstructive pulmonary disease （COPD） based on latent class analysis combined with a hidden structure model. MethodsClinical data， including the four diagnostic methods of traditional Chinese medicine （TCM）， were collected from 745 COPD patients with lung qi deficiency syndrome. Latent class modeling was performed using R 4.1.2 software， and each patient was classified into one of three severity categories （mild， moderate， or severe） based on probabilistic parameterization， parameter estimation， and model fitting. A database was established for different severity levels of lung qi deficiency syndrome. Based on this， Lantern 5.0 software was used to construct hidden structure models for mild， moderate， and severe lung qi deficiency syndrome， and syndrome differentiation rules were developed through comprehensive clustering. ResultsA latent class model was constructed using 28 symptoms and signs with a frequency greater than 10%. Considering TCM theory and model simplicity， the optimal model was determined when the number of latent classes was three， categorizing lung qi deficiency syndrome into mild （298 cases）， moderate （164 cases）， and severe （283 cases）. Hidden structure models were separately developed for each severity level， and syndrome differentiation rules were established. A comparison of common symptoms in the syndrome differentiation rules for mild and moderate lung qi deficiency syndrome showed no statistically significant differences in diagnostic values and weights （P＞0.05）， leading to their combined analysis and the development of a unified syndrome differentiation rule. Value and weight of quantitative diagnosis of mild-to-moderate lung qi deficiency syndrome were as followed： shortness of breath （diagnostic value 9.3， diagnostic weight 86.92%）， dyspnea on exertion （8.2， 76.64%）， low voice and reluctance to speak （6.7， 62.62%）， poor appetite （4.0， 37.38%）， loose stools （4.0， 37.38%）， weak cough sound （2.9， 27.10%）， wheezing （2.3， 21.50%）， fatigue （1.8， 16.82%）， spontaneous sweating （1.7， 15.89%）， susceptibility to colds （1.6， 14.95%）， swollen tongue （1.4， 13.08%）， teeth marks on the tongue edge （1.2， 11.21%）， deep pulse （1.6， 14.95%）， with a diagnostic threshold of 10.3. Value and weight of quantitative diagnosis of severe lung qi deficiency syndrome were as followed： weak cough sound （15.1， 61.13%）， soreness and weakness of the waist and knees （12.6， 51.01%）， shortness of breath （11.1， 44.94%）， low voice and reluctance to speak （8.3， 33.60%）， frequent nocturia （6.1， 24.70%）， spontaneous sweating （3.7， 14.98%）， susceptibility to colds （3.5， 14.17%）， teeth marks on the tongue edge （7.8， 31.58%）， pale tongue body （1.9， 7.69%）， white tongue coating （5.5， 22.27%）， thin pulse （1.5， 6.07%）， with a diagnostic threshold of 23.7. ConclusionThe combination of latent class analysis and a hideen structure model effectively clarified the graded quantitative diagnostic characteristics of lung qi deficiency syndrome， providing a reference for the quantitative diagnosis of other fundamental syndromes in TCM.

Objective To provide methodological examples for related research,the influencing factors of the evolution of Qi deficiency syndrome in chronic obstructive pulmonary disease(COPD)based on a nonlinear mixed effects model was explored.Methods A research questionnaire on the influencing factors of the evolution of Qi deficiency syndrome in chronic obstructive pulmonary disease was developed,and clinical data of 650 COPD patients on the 1st and 14th day of acute exacerbation,the 1st and 28th day of risk window,the first day of stable period,and the 90th day were dynamically collected from 10 tertiary hospitals across the country.8 baseline data including gender and age were collected through the PROC NLMIXED process by SAS 9.4 software.Coronary heart disease,diabetes and hypertension accounted for the highest proportion.Nine concurrent syndromes including wind cold syndrome and phlegm heat syndrome were used as fixed effects,and individual level was used as random effects to gradually fit the model and screen the influencing factors of Qi deficiency syndrome in the entire process of disease occurrence and development.Results A total of 637 eligible cases were included,and clinical datas were dynamically collected on the 1st and 14th day of acute exacerbation,the 1st and 28th day of the risk window,the 1st and 90th day of the stable period.It was found that the number of acute exacerbations,alcohol consumption,concomitant hypertension,coronary heart disease,blood stasis syndrome,yin deficiency syndrome,yang deficiency syndrome,6-minute walking distance,and the modified Medical Research Council Dyspnea Questionnaire(mMRC)had an impact on the evolution of Qi deficiency syndrome in the previous year(P<0.05).Conclusion The use of a nonlinear mixed effects model revealed the relevant factors affecting the evolution of Qi deficiency syndrome from complex multi temporal dynamic data,providing methodological references for other related studies.

Objective To provide methodological examples for related research,the influencing factors of the evolution of Qi deficiency syndrome in chronic obstructive pulmonary disease(COPD)based on a nonlinear mixed effects model was explored.Methods A research questionnaire on the influencing factors of the evolution of Qi deficiency syndrome in chronic obstructive pulmonary disease was developed,and clinical data of 650 COPD patients on the 1st and 14th day of acute exacerbation,the 1st and 28th day of risk window,the first day of stable period,and the 90th day were dynamically collected from 10 tertiary hospitals across the country.8 baseline data including gender and age were collected through the PROC NLMIXED process by SAS 9.4 software.Coronary heart disease,diabetes and hypertension accounted for the highest proportion.Nine concurrent syndromes including wind cold syndrome and phlegm heat syndrome were used as fixed effects,and individual level was used as random effects to gradually fit the model and screen the influencing factors of Qi deficiency syndrome in the entire process of disease occurrence and development.Results A total of 637 eligible cases were included,and clinical datas were dynamically collected on the 1st and 14th day of acute exacerbation,the 1st and 28th day of the risk window,the 1st and 90th day of the stable period.It was found that the number of acute exacerbations,alcohol consumption,concomitant hypertension,coronary heart disease,blood stasis syndrome,yin deficiency syndrome,yang deficiency syndrome,6-minute walking distance,and the modified Medical Research Council Dyspnea Questionnaire(mMRC)had an impact on the evolution of Qi deficiency syndrome in the previous year(P<0.05).Conclusion The use of a nonlinear mixed effects model revealed the relevant factors affecting the evolution of Qi deficiency syndrome from complex multi temporal dynamic data,providing methodological references for other related studies.

ObjectiveTo explore the dynamic evolution law of syndrome elements in different stages of chronic obstructive pulmonary disease （COPD）. MethodThe clinical questionnaire of COPD was formulated，and the clinical data of 303 patients with COPD in the acute exacerbation stage，risk window stage，and stable stage in the First Affiliated Hospital of Henan University of Chinese Medicine from June 2019 to December 2020 were dynamically collected. The Clinical Investigation and Research Database on the Evolution of Syndrome Elements of COPD was established，with syndrome elements as nodes and complex relationships between syndrome elements and syndrome elements in different stages as edges. With the help of Pycharm （JetBrains PyCharm Edition 2018.2.3） development tool，python programming was used to preprocess the data and perform complex network modeling. The complex network of different stages of COPD was constructed to analyze the evolution law of syndrome factors in different stages. ResultA total of 303 patients with COPD were included and finished. Eleven syndrome elements were extracted in the acute exacerbation stage，10 syndrome elements were extracted in the risk window stage，and 8 syndrome elements were extracted in the stable stage. According to the complex network centrality and edge weight of disease syndrome elements，it was found that the core nodes of disease syndrome elements in the network from the acute exacerbation stage to the stable stage were phlegm，heat，and Qi deficiency，Qi deficiency，phlegm，and dampness，and Qi deficiency，Yin deficiency，and blood stasis. ConclusionFrom the acute exacerbation stage to the stable stage，the disease syndrome elements change from excess to deficiency，and phlegm heat gradually changes into phlegm dampness，and gradually weakens or disappears. Qi deficiency runs through the whole process of the disease and turns into both qi and yin deficiency with blood stasis.

Ectoine is an amino acid derivative and an important natural product in halophilic microorganisms. It plays an important role in protecting cells and stabilizing biological macromolecules, and can be widely used in biomedical fields such as drug preparation adjuvants, organ transplantation and preservation, skin wound repair and cosmetics. Due to the medical value and commercial market demand of ectoine, this article summarized the recent advances in the microbial production of ectoine, including the mutation and breeding of hyper-producing strains, construction of genetically and metabolically engineered strains, optimization of fermentation processes, and extraction and purification processes. The application of multi-omics technologies and computational biology to develop an ectoine producing cell factory was prospected, with the aim to provide a reference for ectoine overproduction.
Amino Acids, Diamino/metabolism* ; Fermentation

Objective:To explore the targets and signal pathways of Maxing-Ersan Decoction in the treatment of COPD by using network pharmacology, and to reveal the mechanism of intervention of multiple targets and multiple pathways of Maxing-Ersan Decoction in the treatment of COPD. Methods:The active ingredients and corresponding targets of Maxing-Ersan Decoction were screened with the help of TCMSP database, and the targets related to COPD disease were screened with GeneCards database. The STRING database was used for protein-protein interaction (PPI) network analysis. By using Cytoscape to build compound target network and PPI network; by using Draw Venn Diagram website to draw a Venn diagram, and using R software to perform gene ontology (GO) functional enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG). Results:A total of 101 active ingredients were obtained, with 250 corresponding targets, including 214 targets related to COPD. Through GO and KEGG enrichment analysis, all together 48 signal pathways related to the main components of Maxing-Ersan Decoction were screened out. Conclusion:Based on the network pharmacological analysis, the effective chemical components of Maxing-Ersan Decoction were found, and it was found that Maxing-Ersan Decoction may act on COPD through multiple targets and multiple pathways such as inflammation and immune regulation.

The limited penetration of nanoparticles and their poor accessibility to cancer cell fractions in tumor remain essential challenges for effective anticancer therapy. Herein, we designed a targeting peptide-decorated biomimetic lipoprotein (termed as BL-RD) to enable their deep penetration and efficient accessibility to cancer cell fractions in a tumor, thereby improving the combinational chemo-photodynamic therapy of triple negative breast cancer. BL-RD was composed of phospholipids, apolipoprotein A1 mimetic peptide (PK22), targeting peptide-conjugated cytotoxic mertansine (RM) and photodynamic agents of DiIC18(5) (DiD). The counterpart biomimetic lipoprotein system without RM (termed as BL-D) was fabricated as control. Both BL-D and BL-RD were nanometer-sized particles with a mean diameter of less than 30 nm and could be efficiently internalized by cancer cells. After intravenous injection, they can be specifically accumulated at tumor sites. When comparing to the counterpart BL-D, BL-RD displayed superior capability to permeate across the tumor mass, extravasate from tumor vasculature to distant regions and efficiently access the cancer cell fractions in a solid tumor, thus producing noticeable depression of the tumor growth. Taken together, BL-RD can be a promising delivery nanoplatform with prominent tumor-penetrating and cancer cells-accessing capability for effective tumor therapy.

This study was aimed to explore the relationship between atrophic lung disease and modern medicine diseases through the study of experiences of modern famous doctors of traditional Chinese medicine (TCM) in the treatment of atrophic lung disease. Literatures which met the inclusion criteria were retrieved from the existing Lung Disease Database of Modern Famous Doctors of Chinese Medicineand Lung Disease Database of Journals for the establishment ofLiterature Research Database of Experience of Modern Famous Doctors of Chinese Medicine in Treating Atrophic Lung Disease. The SPSS 19.0 software was used in the statistical analysis. The results showed that atrophic lung disease can be interstitial lung disease, atelectasis, pneumonia, primary bronchogenic carcinoma, bronchiectasis, tuberculosis, chronic bronchitis and pneumothorax in modern medicine. Among them, interstitial lung disease was the most common one. It was concluded that atrophic lung disease can be the outcome of many types of lung diseases. The relationship between atrophic lung disease and modern medicine diseases should require further studies by experts to confirm.