In recent years, lung function assessment has attracted increasing attention in the perioperative management of thoracic surgery. However, traditional pulmonary function testing methods remain limited in clinical practice due to high equipment requirements and complex procedures. With the rapid development of artificial intelligence (AI) technology, lung function assessment based on multimodal chest imaging (such as X-rays, CT, and MRI) has become a new research focus. Through deep learning algorithms, AI models can accurately extract imaging features of patients and have made significant progress in quantitative analysis of pulmonary ventilation, evaluation of diffusion capacity, measurement of lung volumes, and prediction of lung function decline. Previous studies have demonstrated that AI models perform well in predicting key indicators such as forced expiratory volume in one second, diffusing capacity for carbon monoxide, and total lung capacity. Despite these promising prospects, challenges remain in clinical translation, including insufficient data standardization, limited model interpretability, and the lack of prediction models for postoperative complications. In the future, greater emphasis should be placed on multicenter collaboration, the construction of high-quality databases, the promotion of multimodal data integration, and clinical validation to further enhance the application value of AI technology in precision decision-making for thoracic surgery.

Objective To optimize the water extraction process of modified Wendan Formula.Methods The comprehensive scores of the content of naringin and neohesperidin as well as the extraction yields of solids were used as the evaluation indexes,the number of decoctions,the decoction time and the solid-liquid ratio as three factors were take into consideration,L9(34)orthogonal experiment was designed to optimize the water extraction process of modified Wendan Formula.Results Combining the orthogonal experiment with the principle of energy conservation and emission reduction in actual production,this study suggests that the optimized process was under the conditions of 1∶8 for the solid-liquid ratio,decoction were performed twice,the first time was 1.5 hours,and the second time was 1 hour.The average composite score of validation of three batches of modified Wendan Formula was 99.00％.Conclusion Such optimized process was stable,feasible and realizable,and it can be applied in water extraction process of modified Wendan Formula.

The theory of"spleen and stomach deficiency and excess transformation"originates from Huangdi Neijing,which is based on the five elements theory.It systematically elucidates the physiological interconnections and pathological transmission relationships among spleen,stomach,and the five zang and six fu viscera.This theory was continuously developed and refined by later physicians.It was first systematically summarized and deepened by LI Dongyuan in his work Piwei Lun,which elaborates on the pathological transmission relationships of other zang-fu viscera after spleen and stomach deficiency.From the perspective of LI Dongyuan's theory of"spleen and stomach deficiency and excess transformation",this paper discusses the pathological relationships between spleen-earth,lung-metal,and kidney-water,and proposes that spleen-earth deficiency is the pathological basis for the onset of allergic rhinitis.Based on the pathological evolution following spleen-earth deficiency,the traditional Chinese medicine syndromes of allergic rhinitis were categorized into three types:earth deficiency with metal weakness,earth dryness with metal desiccation,and water cold with metal excess and earth decline.The treatment of allergic rhinitis should prioritize the spleen-earth,employing acrid and dispersing herbs with light properties to elevate the spleen,sweet-warm and sour-astringent herbs to tonify the spleen,and diuretic and dampness-resolving herbs to activate the spleen,thereby restoring spleen-earth function.Simultaneously,treatment should regulate lung-metal and kidney-water according to different pathological evolutions,incorporating cold-cool or acrid-warm herbs as appropriate,combining cold and warm properties,and treating both the manifestation and root cause of the disease.

The theory of"spleen and stomach deficiency and excess transformation"originates from Huangdi Neijing,which is based on the five elements theory.It systematically elucidates the physiological interconnections and pathological transmission relationships among spleen,stomach,and the five zang and six fu viscera.This theory was continuously developed and refined by later physicians.It was first systematically summarized and deepened by LI Dongyuan in his work Piwei Lun,which elaborates on the pathological transmission relationships of other zang-fu viscera after spleen and stomach deficiency.From the perspective of LI Dongyuan's theory of"spleen and stomach deficiency and excess transformation",this paper discusses the pathological relationships between spleen-earth,lung-metal,and kidney-water,and proposes that spleen-earth deficiency is the pathological basis for the onset of allergic rhinitis.Based on the pathological evolution following spleen-earth deficiency,the traditional Chinese medicine syndromes of allergic rhinitis were categorized into three types:earth deficiency with metal weakness,earth dryness with metal desiccation,and water cold with metal excess and earth decline.The treatment of allergic rhinitis should prioritize the spleen-earth,employing acrid and dispersing herbs with light properties to elevate the spleen,sweet-warm and sour-astringent herbs to tonify the spleen,and diuretic and dampness-resolving herbs to activate the spleen,thereby restoring spleen-earth function.Simultaneously,treatment should regulate lung-metal and kidney-water according to different pathological evolutions,incorporating cold-cool or acrid-warm herbs as appropriate,combining cold and warm properties,and treating both the manifestation and root cause of the disease.

In recent years, lung function assessment has attracted increasing attention in the perioperative management of thoracic surgery. However, traditional pulmonary function testing methods remain limited in clinical practice due to high equipment requirements and complex procedures. With the rapid development of artificial intelligence (AI) technology, lung function assessment based on multimodal chest imaging (such as X-rays, CT, and MRI) has become a new research focus. Through deep learning algorithms, AI models can accurately extract imaging features of patients and have made significant progress in quantitative analysis of pulmonary ventilation, evaluation of diffusion capacity, measurement of lung volumes, and prediction of lung function decline. Previous studies have demonstrated that AI models perform well in predicting key indicators such as forced expiratory volume in one second, diffusing capacity for carbon monoxide, and total lung capacity. Despite these promising prospects, challenges remain in clinical translation, including insufficient data standardization, limited model interpretability, and the lack of prediction models for postoperative complications. In the future, greater emphasis should be placed on multicenter collaboration, the construction of high-quality databases, the promotion of multimodal data integration, and clinical validation to further enhance the application value of AI technology in precision decision-making for thoracic surgery.

Objective A HPLC-quantitative analysis of multi-components by single marker(QAMS)was established to determine 5 ingredients including uracil,uridine,hypoxanthine,inosine and guanosine in Periplaneta americana.Methods Separation took place on a Agilent ZORBAX SB-Aq column(250 mm×4.6 mm,5 μm)by gradient elution of methanol-0.01 mol·L-1 potassium dihydrogen phosphate at 20℃with a flow rate of 1.0 mL·min-1.The detection wavelength was 260 nm and the injection amount was 10 μL.The relative correction factors(fa/b)was calculated for the other four components with uridine as an internal standard.The content of 5 ingredients in 10 batches of Periplaneta americana was determined by QAMS.Results were compared with those of external standard method(ESM).Results Five nucleosides showed good linear relationships in their own ranges(r＞0.999 5),and the average recoveries ranged from 97.0%to 100.8%.The relative correction factors of uracil,hypoxanthine,inosine and guanosine were 0.908 0,1.005 3,1.969 5 and 1.303 4,respectively.Conclusion The established method is accurate and stable.It can provide theoretical reference for the quality control of Periplaneta americana.

Abstract To study the antiviral effect ofZedoary TurmericOil Injection on novel coronavirus, SARS-CoV-2 viroid cell lines were preparedin vitroand treated with different concentrations of Zedoary Oil. The cell number and relative fluorescence value(RLU) were observed and measured, and the 50% effective inhibitory concentration(IC 50) was calculated. Four patients with Coronavirus Disease 2019 were clinically included, including 2 in the control group and 2 in the experimental group. The control group received conventional treatment, and the experimental group receivedZedoary TurmericOil Injection in addition to conventional treatment. The nucleic acid conversion rate, conversion time, pulmonary imaging changes, fever reduction time, clinical improvement time and adverse events of the patients were observed.In vitroexperiment, the relative fluorescence value decreased with increasing concentration ofZedoary TurmericOil, which was significantly different from that of the control group(P<0.05). The IC50 was 0.26 μg/ml.In vivostudy, the novel coronavirus nucleic acid in stool of case 1 in the test group turned negative in 3 days, the cough symptom of case 2 was significantly relieved, and there was obvious absorption in pulmonary imaging. The negative conversion time of novel coronavirus nucleic acid in the control group was 5 and 7 days respectively. No adverse events occurred in the experimental group.Zedoary TurmericOil had strong inhibitory effect on SARS-COV-2 virusin vitrowhich was dose-dependent.In vivotreatment of COVID-19,Zedoary TurmericOil Injection combined with conventional treatment can improve the cough caused by SARS-COV-2 infection, promote SARS-COV-2 to turn negative, promote absorption of lung lesions, and reduce lung injury, with no obvious adverse events.

The review deals with the phenomenon of autotoxicity in medical plants. The autotoxic potential could be attributed to direct inhibition of plant growth and some diseases could be promoted by autotoxin. Factors affecting autotoxicity include species and cultivars, soil microbes, plant's nutrient situation and soil type etc. Autotoxicity could be overcome or alleviated by plant residues removal, adding beneficial microbes, using organic fertilizer, proper rotation, and grading management to different plant' autotoxic force.
Fertilizers ; Plants, Medicinal ; growth & development ; toxicity ; Soil Microbiology

AIM:To establish the method of fingerprint analysis on Shuangbai Powder(Radix et Rhizoma rhei,Cacumen platycladi,Cortex phellodendri amurensis,Herba lycopi and Herba menthae)to distinguish the characteristic fingerprint.METHODS:HPLC with ZORBAX Eclipse XDB-C_(18) was used,acetonitrile-0.1% H_3PO_4 solution(gradient elution)as a mobile phase and detection wavelength at 254 nm,flow rate was 1 mL/min,and column temperature was 40℃.RESULTS:Thirty-seven common peaks were separated from 10 batches of Shuangbai Powder.The characteristic peaks were the summation,22 peaks were from Radix et Rhizoma Rhei,6 peaks were from Cortex phellodendri Amurensis,4 peaks were from Cacumen Platycladi,3 peaks were from Herba Lycopi,and 2 peaks were from Herba Menthae,there was one new characteristic peak.CONCLUSION:Ten peaks gathered from Shanghai Powder consist of rhein,emodin,chrysophanol,aloe-emodin,physcion,gallic acid,berberine hydrochloride,palmatine;quercitrosid,and linarin.

OBJECTIVE:To study the chief chemical components of the ethyl acetate part of Angelicae Sinensis Decoction for Supplementing Blood Apozem.METHODS:The HPLC was adopted in which Hypersil ODS was taken as the chromato?graphic column,the Methanol-0.5%glacial acetic acid was taken as the mobile phase(gradient elution),the detective wave?length was280nm,the flow rate was1ml/min and with the column temperature set at room temperature.RESULTS:There were7characteristic peaks in the ethyl acetate part of Angelicae Sinensis Decoction for Supplementing Blood Decoction,6of which come from isoflavone of Radix Astragali and1come from ferulic acid of Angelicae Sinensis.CONCLUSION:The chief characteristic peak of the ethyl acetate part of Angelicae Sinensis Decoction for Supplementing Blood Apozem was the building up of Radix Astragali peak and angelicae sinensis peak,no other significant composition peaks were emerged.