ObjectiveTo decipher the mechanism by which Zuoguiwan （ZGW） treat hyperthyroidism in rats with kidney-Yin deficiency based on the dopamine receptor D4 （DRD4）/nicotinamide adenine dinucleotide phosphate （NADPH） oxidase 4 （NOX4） signaling pathway. MethodsThe rat model of kidney-Yin deficiency was induced by unilateral intramuscular injection of dexamethasone （0.35 mg·kg^-1）. After successful modeling， the rats were randomized into model， methimazole （positive control， 5 mg·kg^-1）， low-， medium-， and high-dose （1.85， 3.70， 7.40 g·kg^-1， respectively） ZGW， and normal control groups. After 21 days of continuous gavage， the behavioral indexes and body weight changes of rats were evaluated. The pathological changes of the renal tissue were observed by hematoxylin-eosin staining. The serum levels of thyroid hormones ［triiodothyronine （T₃）， thyroxine （T₄）， thyroid-stimulating hormone （TSH）］， renal function indexes ［serum creatine （Scr） and blood urea nitrogen （BUN）］， energy metabolism markers ［cyclic adenosine monophosphate （cAMP） and cyclic guanosine monophosphate （cGMP）］， and oxidative stress-related factors ［superoxide dismutase （SOD）， malondialdehyde （MDA）， and NADPH）］ were measured by enzyme-linked immunosorbent assay （ELISA）. Western blot was employed to analyze the expression of DRD4， NOX4， mitochondrial respiratory chain complex proteins ［NADH：ubiquinone oxidoreductase subunit S4 （NDUFS4） and cytochrome C oxidase subunit 4 （COX4）］， and inflammation-related protein ［tumor necrosis factor-alpha （TNF-α）， interleukin-6 （IL-6）， p38 mitogen-activated protein kinase （MAPK）］ pathway in the renal tissue. ResultsCompared with the normal group， the model group showed mental malaise， body weight decreases （P<0.01）， inflammatory cell infiltration in the renal tissue， a few residual parotid glands in the thyroid， elevations in serum levels of T₃， T₄， Scr， BUN， cAMP， cAMP/cGMP， MDA， and NADPH （P<0.01）， down-regulation in protein levels of TSH， SOD， and DRD4 （P<0.05， P<0.01）， and up-regulation in expression of NOX4， p-p38 MAPK/p38 MAPK， and inflammatory factors （P<0.01）. Compared with the model group， ZGW increased the body weight （P<0.05， P<0.01）， reduced the infiltration of renal interstitial inflammatory cells， restored the thyroid structure and follicle size， lowered the serum levels of T₃， T₄， Scr， BUN， cAMP， cAMP/cGMP， MDA and NADPH （P<0.05， P<0.01）， up-regulated the expression of TSH， SOD and DRD4 （P<0.05， P<0.01）， and down-regulated the expression of NOX4， p-p38 MAPK/p38 MAPK， and inflammatory factors （P<0.05， P<0.01）. Moreover， high-dose ZGW outperformed methimazole （P<0.05）. ConclusionBy activating DRD4， ZGW can inhibit the expression of NOX4 mediated by the p38 MAPK pathway， reduce oxidative stress and inflammatory response， thereby ameliorating the pathological state of hyperthyroidism due to kidney-Yin deficiency. This study provides new molecular mechanism support for the clinical application of ZGW.

ObjectiveBased on whole-animal mass spectrometry imaging technology， spatial metabolomics was used to characterize in situ the metabolic alteration patterns in the lungs and brain of a rat model of lung heat-induced cough and asthma， as well as after treatment with Xiebai San. MethodsNine Sprague-Dawley （SD） rats were randomly divided into a blank group （physiological saline）， a model group （physiological saline）， and a Xiebai San group （9 g·kg^-1）， with three rats in each group. The model group and the Xiebai San group were both induced using lipopolysaccharide-ovalbumin （LPS-OVA） to establish an asthma rat model. After treatment with Xiebai San， the animals were euthanized on day 21 and rapidly frozen in liquid nitrogen to preserve morphology. Whole-animal tissue sections were prepared using a cryomicrotome， and imaging was performed using the Air-flow-assisted Desorption Electrospray Ionization Mass Spectrometry Imaging （AFADESI-MSI） platform. Based on the corresponding optical images， ion data of metabolites from the lung and brain tissues of each group were extracted. Differential metabolites were analyzed using SIMCA and GraphPad Prism 9.0 software. Metabolites were identified using the HMDB （https：//hmdb.ca/） and LipidMAPS^® （https：//www.lipidmaps.org/） databases， and metabolic changes in the lungs and brain were analyzed. ResultsMass spectrometry imaging showed that， after Xiebai San intervention， components such as neoglycyrrhizin and glycyrrhizin from Glycyrrhizae Radix et Rhizoma， as well as palmitamide from Lycii Cortex， were significantly distributed in the lung and brain tissues of rats. Lung analysis indicated that substances with anti-inflammatory effects， such as citric acid， were significantly decreased （P0.01）， while lipid metabolites such as lysophosphatidylethanolamine （LPE 17：1）， LPE （22：4）， and LPE （19：0） （P0.01） were significantly increased， showing a marked inflammatory response in the model group. After Xiebai San intervention， these conditions were notably improved. Analysis of metabolic changes in brain tissue showed that， compared with the blank group， amino acid and fatty acid metabolic pathways in the model group exhibited restricted alterations. Among them， levels of aspartic acid， glutamic acid， fatty acid （FA 18：5）， hydroxy fatty acids （FAHFA 36：0；O）， FA （6：1；O6）， and LPE （18：1） increased， whereas FA （16：0） and FA （20：4） significantly decreased. Administration of Xiebai San improved these metabolic abnormalities in the brain. Systematic analysis of lung and brain metabolic changes in rats with lung heat-induced cough and asthma showed that antioxidant unsaturated phospholipid substances were significantly decreased in the model group， suggesting oxidative stress and inflammation-related lung-brain axis responses after the onset of lung heat-induced cough and asthma. ConclusionUsing whole-animal mass spectrometry imaging combined with spatial metabolomics revealed the in vivo distribution of Xiebai San constituents， characterized the metabolic alterations in the lungs and brain caused by lung heat-induced cough and asthma， and systematically demonstrated the lung-brain axis inflammatory responses and the regulatory effects of Xiebai San. These findings provide valuable information for the study of Chinese medicine in lung heat-induced cough and asthma.

ObjectiveBased on whole-animal mass spectrometry imaging technology， spatial metabolomics was used to characterize in situ the metabolic alteration patterns in the lungs and brain of a rat model of lung heat-induced cough and asthma， as well as after treatment with Xiebai San. MethodsNine Sprague-Dawley （SD） rats were randomly divided into a blank group （physiological saline）， a model group （physiological saline）， and a Xiebai San group （9 g·kg^-1）， with three rats in each group. The model group and the Xiebai San group were both induced using lipopolysaccharide-ovalbumin （LPS-OVA） to establish an asthma rat model. After treatment with Xiebai San， the animals were euthanized on day 21 and rapidly frozen in liquid nitrogen to preserve morphology. Whole-animal tissue sections were prepared using a cryomicrotome， and imaging was performed using the Air-flow-assisted Desorption Electrospray Ionization Mass Spectrometry Imaging （AFADESI-MSI） platform. Based on the corresponding optical images， ion data of metabolites from the lung and brain tissues of each group were extracted. Differential metabolites were analyzed using SIMCA and GraphPad Prism 9.0 software. Metabolites were identified using the HMDB （https：//hmdb.ca/） and LipidMAPS^® （https：//www.lipidmaps.org/） databases， and metabolic changes in the lungs and brain were analyzed. ResultsMass spectrometry imaging showed that， after Xiebai San intervention， components such as neoglycyrrhizin and glycyrrhizin from Glycyrrhizae Radix et Rhizoma， as well as palmitamide from Lycii Cortex， were significantly distributed in the lung and brain tissues of rats. Lung analysis indicated that substances with anti-inflammatory effects， such as citric acid， were significantly decreased （P0.01）， while lipid metabolites such as lysophosphatidylethanolamine （LPE 17：1）， LPE （22：4）， and LPE （19：0） （P0.01） were significantly increased， showing a marked inflammatory response in the model group. After Xiebai San intervention， these conditions were notably improved. Analysis of metabolic changes in brain tissue showed that， compared with the blank group， amino acid and fatty acid metabolic pathways in the model group exhibited restricted alterations. Among them， levels of aspartic acid， glutamic acid， fatty acid （FA 18：5）， hydroxy fatty acids （FAHFA 36：0；O）， FA （6：1；O6）， and LPE （18：1） increased， whereas FA （16：0） and FA （20：4） significantly decreased. Administration of Xiebai San improved these metabolic abnormalities in the brain. Systematic analysis of lung and brain metabolic changes in rats with lung heat-induced cough and asthma showed that antioxidant unsaturated phospholipid substances were significantly decreased in the model group， suggesting oxidative stress and inflammation-related lung-brain axis responses after the onset of lung heat-induced cough and asthma. ConclusionUsing whole-animal mass spectrometry imaging combined with spatial metabolomics revealed the in vivo distribution of Xiebai San constituents， characterized the metabolic alterations in the lungs and brain caused by lung heat-induced cough and asthma， and systematically demonstrated the lung-brain axis inflammatory responses and the regulatory effects of Xiebai San. These findings provide valuable information for the study of Chinese medicine in lung heat-induced cough and asthma.

Adverse drug reactions （ADRs） refer to harmful or unintended reactions unrelated to the intended purpose of medication administration， which can lead to various issues such as accelerated disease progression and prolonged hospitalization. Traditional ADRs monitoring systems （such as spontaneous reporting systems） suffer from limitations such as low reporting rates and inconsistent data quality， which hinder the early prevention and control of ADRs. With the rapid development of information technology， machine learning has emerged as a powerful tool for management and decision-making of ADRs by leveraging its strengths in feature extraction and dynamic temporal pattern analysis. By reviewing relevant literature at home and abroad in recent years， this paper summarizes the progress in the application of machine learning for ADRs prediction. It is found that machine learning has gradually been applied to the early warning and risk prediction of ADRs in target organs such as the kidneys， liver， heart and bone marrow （such as acute kidney injury， drug-induced liver injury， and so on）. Although machine learning demonstrates significant application potential in the field of ADRs prediction， it still faces limitations such as inadequate quality control of clinical data， lack of standardized criteria for model performance evaluation， insufficient model interpretability and difficulties in clinical translation. In the future， the development trend of machine learning in the field of ADRs prediction should follow a “technology-validation-integration” pathway to systematically promote the practical implementation of models.

OBJECTIVE To investigate and analyze the current management of drug clinical trial institutions in Jiangxi Province and the situation of undertaking drug clinical trials after the implementation of the filing system. METHODS A survey was conducted on 38 new institutions （obtained qualifications during the implementation of the filing system） and old institutions （obtained qualifications during the implementation of the recognition system） that had completed drug clinical trial institution qualification filing for more than one year in Jiangxi Province. The survey focused on the basic information of the institutions， the number of registered principal investigator （PI）， institutional hardware and information construction， personnel allocation and training， and drug registration clinical trials undertaken by the institutions. RESULTS Of 38 institutions surveyed， there were 22 general hospitals and 16 specialized hospitals； there were 24 old institutions and 14 new institutions. Whether in general hospitals or specialized hospitals， the old institutions were better than the new institutions in the number of approved beds， the number of outpatients， the number of inpatients， the number of specialties， and the number of PI； both old and new institutions had separate offices； all new institutions were set up with GCP pharmacy. The adoption of clinical trial management system in new institutions is significantly less than in old institutions. In the general hospital， both the number of full-time managers and the number of quality controllers in old institutions were significantly more than in the new institutions， while the opposite was true at the level of specialized hospitals. In terms of centralized training on GCP， new institutions were all better than the old ones. Whether in general hospitals or specialized hospitals， the number of drug registration clinical trial projects undertaken by new institutions was significantly less than that of old ones. CONCLUSIONS The new institutions are worse than the old institutions in comprehensive strength and information construction of hospitals， and the number of clinical trials undertaken by new institutions is also less than old institutions.

To evaluate long-term survival and clinical outcomes of patients with knee osteo-arthritis undergoing total knee arthroplasty (TKA) through long-term follow-up.

Objective: To investigate the incidence and trends of liver, lung, breast, colorectal and gastric cancers in Nanning City from 2018 to 2022. Methods: Data of new cases of liver, lung, breast, colorectal and gastric cancers in Nanning City from 2018 to 2022 were collected through the big data platform of the Nanning Health Propaganda and Information Center's Hospitalization System. The incidence rates were calculated and standardized using the data of the seventh national population census in 2020. The age, gender, and urban-rural distribution of the five malignant tumor cases were descriptively analyzed. The trends in incidence of the five malignant tumors were analyzed using annual percent change (APC). Results: From 2018 to 2022, the crude and standardized incidence rates of liver cancer in Nanning City were 24.46/105 and 26.39/105, respectively, showing upward trends (APC=15.122% and 13.111%, both P<0.05). The crude and standardized incidence rates of lung cancer were 23.42/105 and 25.83/105, respectively, showing upward trends (APC=13.714% and 10.056%, both P<0.05). The crude and standardized incidence rates of breast cancer were 19.13/105 and 20.29/105, respectively, with no significant trends (APC=-5.129% and -5.164%, both P>0.05). The crude incidence rate of colorectal cancer was 18.81/105, showing an upward trend (APC=8.164%, P<0.05), while the standardized incidence rate was 20.64/105, with no significant trend (APC=5.044%, P>0.05). The crude incidence rate of gastric cancer was 7.27/105, showing an upward trend (APC=5.984%, P<0.05), while the standardized incidence rate was 7.98/105, with no significant trend (APC=3.304%, P>0.05). The age of onset peak for liver cancer was 65 to <70 years, for lung cancer was 75 to <80 years, for breast cancer was 55 to <60 years, for colorectal cancer was 80 to <85 years, and for gastric cancer was 75 to <80 years. The standardized incidence rates of liver, lung, colorectal and gastric cancers were higher in males than in females (all P<0.05). The standardized incidence rates of liver, lung and gastric cancers were higher in rural areas than in urban areas, while the standardized incidence rates of breast and colorectal cancers were lower in rural areas (all P<0.05). Conclusions The incidence rates of liver, lung, colorectal and gastric cancers in Nanning City showed upward trends from 2018 to 2022, while the incidence rate of breast cancer remained stable. The standardized incidence rates of liver, lung, colorectal and gastric cancers were higher in males, and the standardized incidences of liver, lung and gastric cancers were higher in rural areas.

Abstract On September 26, 2024, a municipal hospital in Jiaxing City reported a maternal case of Listeria monocytogenes infection. In order to clarify the source of infection, the Jiaxing Center for Disease Control and Prevention immediately conducted the epidemiological investigation, laboratory testing and related disposal work. The case presented with fever (37.9 ℃), gradually intensifying paroxysmal abdominal pain without obvious cause, and went to hospital on the day of onset. Due to fetal intrauterine distress, a male infant was delivered by cesarean section on the same day. The epidemiological investigation identified that the case usually consumed fruits, often store fruits such as watermelon and grapes in the refrigerator alongside raw meat, and the refrigerator had never been cleaned or disinfected, posing a risk of cross contamination. Laboratory tests on amniotic fluid sample from the pregnant woman, infant blood sample showed positive results for Listeria monocytogenes infection. One strain of Listeria monocytogenes was detected in a smear sample from the inner wall of the refrigerator, and all the strains were ST2 type. Consuming fruits contaminated with Listeria monocytogenes may be the main source of infection. Food safety education for pregnant women and their family members should be strengthened to reduce the risk of infection.

Rheumatoid arthritis belongs to arthralgia syndrome in the theory of traditional Chinese medicine， and cold-dampness obstruction syndrome and dampness-heat obstruction syndrome are core syndromes and main syndrome differentiation types of this disease. Fine therapeutic effects have been obtained in the long-term clinical practice of many famous traditional Chinese medicine practitioners following the syndrome differentiation and treatment based on the guiding principles of cold and heat. To adapt to the clinical diagnosis practice of combining disease differentiation and syndrome differentiation， and to better carry out basic research on integrated Chinese and Western medicine and preclinical study on new traditional Chinese medicines， Guidelines for Establishing Animal Models of Rheumatoid Arthritis with Cold-Dampness Obstruction Syndrome and Dampness-Heat Obstruction Syndrome （hereinafter referred to as the Guidelines） were compiled by our research group， in cooperation with the renowned experts in research fields including traditional Chinese medicine， clinical medicine， zoology and evidence-based medicine， which provide a meaningful reference for scientific research， teaching and clinical applications. The compilation process of the Guidelines was guided by the theory of disease and syndrome integration and the principles of "evidence takes the main place， consensus plays an auxiliary role， and experience serves as the reference". Based on the comprehensive evaluation of pathogenesis homology， behavioral phenotypic consistency， and drug treatment predictability compared between animal models and human diseases， by the nominal group method， "recommendations" were formed for recommendations supported by evidence， and "consensus recommendations" were formed for recommendations not supported by evidence. Guidelines were formed involving content such as animal types， arthritis modeling methods， external stimulation conditions， and modeling assessment indicators during the establishment of the animal models of rheumatoid arthritis with cold-dampness obstruction syndrome and dampness-heat obstruction syndrome. The Guidelines are applicable for the disease and syndrome research on rheumatoid arthritis， investigation of therapeutic mechanisms， and development of new traditional Chinese medicine. The Guidelines also provide a reference for the establishment of guidelines on other types of diseases and syndromes combined with animal models to further promote the modernization of traditional Chinese medicine research and its integration with international academic development.

The Guidelines for Establishing Animal Models of Rheumatoid Arthritis with Cold-dampness Obstruction Syndrome and Dampness-heat Obstruction Syndrome （hereinafter referred to as the Guidelines） （No. T/CACM1567-2024） was published by Chinese Association of Chinese Medicine on January 11， 2024. To assist researchers and medical workers in understanding and applying the Guidelines more accurately， and also to provide reference and assistance for the establishment of guidelines on other types of diseases and syndromes combined with animal models， this paper made a declaration of the workflow， technological links， development references， promotion of its application and after-effect evaluation of the Guidelines that has been made according to the requirements of "Draft Group Standard of the Standardization Office of the Chinese Association of Traditional Chinese Medicine".