Background: The genus Atractylodes, native to East Asia, encompasses several species that serve as sources for the widely used traditional Chinese medicines Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma. However, the international trade arouses concern regarding potential confusion and misidentification of Atractylodes species. Objective: A comprehensive understanding of the chemical diversity is crucial for ensuring the quality and exploring the potential variations in medicinal efficacy of Atractylodes. Methods: The GC-MS/MS-based metabolomics and multivariate statistical analysis identified 589 differentially accumulated metabolites across 5 Atractylodes species. Results: A total of 150 metabolites were predicted as potential chemical markers for species differentiation and quality assessment of Atractylodes. According to the metabolic profiles, the species of Atractylodes can be roughly classified into three categories: A. lancea and A. coreana with the volatile oil components being mainly atractylodin and β-eudesmol; A. macrocephala with the biomarker being atractylon; and A. japonica and A. carlinoides lying between the two categories above. Conclusions: Metabolomic results indicated that the metabolic profiles of A. carlinoides and A. macrocephala were similar and distinct from those of the other three species. Sesquiterpenoids were the main chemical components in the rhizome of A. carlinoides, which indicated the potential medicinal value of this plant.

Background: The genus Atractylodes, native to East Asia, encompasses several species that serve as sources for the widely used traditional Chinese medicines Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma. However, the international trade arouses concern regarding potential confusion and misidentification of Atractylodes species. Objective: A comprehensive understanding of the chemical diversity is crucial for ensuring the quality and exploring the potential variations in medicinal efficacy of Atractylodes. Methods: The GC-MS/MS-based metabolomics and multivariate statistical analysis identified 589 differentially accumulated metabolites across 5 Atractylodes species. Results: A total of 150 metabolites were predicted as potential chemical markers for species differentiation and quality assessment of Atractylodes. According to the metabolic profiles, the species of Atractylodes can be roughly classified into three categories: A. lancea and A. coreana with the volatile oil components being mainly atractylodin and β-eudesmol; A. macrocephala with the biomarker being atractylon; and A. japonica and A. carlinoides lying between the two categories above. Conclusions: Metabolomic results indicated that the metabolic profiles of A. carlinoides and A. macrocephala were similar and distinct from those of the other three species. Sesquiterpenoids were the main chemical components in the rhizome of A. carlinoides, which indicated the potential medicinal value of this plant.

Background: The genus Atractylodes, native to East Asia, encompasses several species that serve as sources for the widely used traditional Chinese medicines Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma. However, the international trade arouses concern regarding potential confusion and misidentification of Atractylodes species. Objective: A comprehensive understanding of the chemical diversity is crucial for ensuring the quality and exploring the potential variations in medicinal efficacy of Atractylodes. Methods: The GC-MS/MS-based metabolomics and multivariate statistical analysis identified 589 differentially accumulated metabolites across 5 Atractylodes species. Results: A total of 150 metabolites were predicted as potential chemical markers for species differentiation and quality assessment of Atractylodes. According to the metabolic profiles, the species of Atractylodes can be roughly classified into three categories: A. lancea and A. coreana with the volatile oil components being mainly atractylodin and β-eudesmol; A. macrocephala with the biomarker being atractylon; and A. japonica and A. carlinoides lying between the two categories above. Conclusions: Metabolomic results indicated that the metabolic profiles of A. carlinoides and A. macrocephala were similar and distinct from those of the other three species. Sesquiterpenoids were the main chemical components in the rhizome of A. carlinoides, which indicated the potential medicinal value of this plant.

Background: Epimedii Folium is well known for its medicinal value. Four Epimedium species—Euphorbia brevicornu, E. sagittatum, E. pubescens, and E. koreanum—are the designated original plants of Epimedii Folium. Objective: The objective of this study is to facilitate the identification of the four Epimedium species and clarify their distributional responses to climate change. Methods: In this study, we assessed the genetic divergence of the four species and identified the molecular markers for species identification by using chloroplast genome sequences. Furthermore, we forecasted the distribution of potentially suitable regions of the four species Folium under climate change. Results: The authors obtained 26 chloroplast genome sequences of the four species and identified 1393 variable sites and 273 indel events. Genetic divergence analyses revealed that E. koreanum had long genetic distance from the other three species. Compared with the complete chloroplast genome, six hypervariable markers were discovered, and both rps4-trnL and ndhF were chosen as Epimedii Folium-specific DNA barcodes. Climate change is expected to influence the geographical distribution of the four Epimedium species, which were primarily found in China, South Korea, and Japan, leading to both expansion and contraction of their distribution ranges. Conclusion: Two identification markers were selected as the specific DNA barcodes for all four original plant species of Epimedii Folium. In addition, the shift of potential suitable area in various climate scenarios has been predicted. With the support of identification markers and the dynamics of suitable distribution areas, we are able to establish a foundation for the sustainable utilization of medicinal Epimedium resources in the future.

This study selected 6 529 plant-based Chinese materia medica(PCMM) from Chinese Materia Medica as research subjects and applied a random permutation test to explore the overall correlation characteristics between nature and flavor, as well as the correlation characteristics after distinguishing different medicinal parts and harvest seasons. The results showed that the overall correlation characteristics between nature and flavor in PCMM were significantly associated in the following pairs: cold and bitter, cool and bitter, cool and astringent, cool and light, neutral and sweet, neutral and astringent, neutral and light, neutral and sour, hot and pungent, and warm and pungent. When analyzing the data by distinguishing medicinal parts and/or harvest seasons, new correlation patterns emerged, characterized by the disappearance of some significant correlations and the emergence of new ones. When analyzing by medicinal parts alone, significant correlations were found in the following cases: cold and light in leaves, cold and salty in barks, cool and sweet in fruits and seeds, neutral and pungent in whole herbs, neutral and salty in stems, and warm and salty in flowers. However, no significant correlations were found between cool and bitter in stems and other types of herbs, cool and astringent in fruits, seeds, flowers, and other types of herbs, cool and light in leaves, fruits, seeds, barks, flowers and other types of herbs, neutral and sweet in barks, neutral and astringent in whole herbs and stems, neutral and light in leaves, fruits, seeds, and flowers, neutral and sour in whole herbs, stems, barks, flowers, and other types of herbs, and hot and pungent in whole herbs, stems, flowers, and other types of herbs. When analyzing by harvest season alone, significant correlations were found in the following cases: cold and salty, and cool and sour in herbs harvested in winter, and neutral and salty in herbs harvested year-round. However, no significant correlation was found between cool and light in herbs harvested in winter. When considering both medicinal parts and harvest seasons, compared to the independent influence of medicinal parts, 14 new significant correlations emerged(e.g., the correlation between cool and bitter in stems harvested in spring), while 53 previously significant correlations disappeared(e.g., the correlation between cool and bitter in barks harvested in summer). Compared to the independent influence of harvest seasons, 11 new significant correlations appeared(e.g., the correlation between cold and light in barks harvested in autumn), while 50 previously significant correlations disappeared(e.g., the correlation between hot and pungent in leaves harvested in winter). This study is the first to reveal the influence of medicinal parts and harvest seasons on the correlation between nature and flavor in PCMM, which highlights that these two factors can interact and jointly affect nature-flavor correlations. Further research is needed to explore the underlying mechanisms. This study provides a deeper understanding of the inherent scientific connotations of herbal properties and offers a theoretical foundation for the cultivation and harvesting of PCMM.
Seasons ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/chemistry* ; Taste

【Objective】 To explore the effectiveness of an image recognition system based on artificial intelligence (AI) in diagnosing benign and malignant endometrial cell clumps. 【Methods】 We selected endometrial cytological specimens from The First Affiliated Hospital of Xi’an Jiaotong University and Xi’an Daxing Hospital from August 2021 to February 2023; histopathology was used as the gold standard. We compared and analyzed the sensitivity, specificity, positive predictive value, negative predictive value, accuracy and diagnostic time of AI image recognition system (AI diagnosis) and professional pathologists’ manual diagnosis (manual diagnosis) of benign and malignant endometrial cell clumps. 【Results】 Among the 126 patients included in the analysis, the overall coincidence rate of AI diagnosis and histological diagnosis was 92.1% (116/126), which was highly consistent with histopathological results (Kappa=0.841). The overall coincidence rate of manual diagnosis and histological diagnosis was 94.4% (119/126), which was highly consistent with histopathological results (Kappa=0.889). There was no statistically significant difference between AI diagnosis and manual diagnosis methods (χ²=0.568, P=0.451). The sensitivity, specificity, positive predictive value, and negative predictive value of AI diagnosis were 91.8%, 92.3%, 91.8%, and 92.3%, respectively. There were 126 cytology sections, each of which required 6.67 minutes for manual diagnosis and 5.00 minutes for AI diagnosis. 【Conclusion】 The AI image recognition system has high diagnostic accuracy, sensitivity and specificity, which is equivalent to the manual diagnosis level of professional pathologists. Therefore, this system has application value in the diagnosis of benign and malignant endometrial cell clumps.

Nitrite has high toxicity and is commonly found in food poisoning. Poisoned patients may experience cyanosis of the skin and lips, nausea, vomiting, and difficulty breathing or coma may occur in severe cases. Four cases of nitrite poisoning patients who were transferred from primary hospitals to the Third Affiliated Hospital of Gansu University of Chinese Medicine, the First People's Hospital of Baiyin were reported. After symptomatic supportive treatment with special antidote methylene blue, oxygen inhalation, blood purification, etc., the patients recovered and were discharged after 4 days of treatment.

Nitrite has high toxicity and is commonly found in food poisoning. Poisoned patients may experience cyanosis of the skin and lips, nausea, vomiting, and difficulty breathing or coma may occur in severe cases. Four cases of nitrite poisoning patients who were transferred from primary hospitals to the Third Affiliated Hospital of Gansu University of Chinese Medicine, the First People's Hospital of Baiyin were reported. After symptomatic supportive treatment with special antidote methylene blue, oxygen inhalation, blood purification, etc., the patients recovered and were discharged after 4 days of treatment.

Objective To explore the public's cognition and attitude towards general medicine,general practitioners,and pre-hospital first-aid knowledge in Ludian County,Yunnan Province,to find out the training and learning methods that are more acceptable to the public for this kind of related knowledge,and to propose targeted solutions.Methods A complete random sampling survey was conducted among the nucleic acid collection office at the gate of the vegetable market from October 15,2022,to December 30,2022,and the outpatient clinic of Wenping Street Health Center from January 1,2023,to February 28,2023,by using electronic questionnaire and paper questionnaire.Results Nearly 50%of the people in Ludian County of Yunnan Province lack the knowledge of general medicine and pre-hospital emergency care,especially the knowledge of electrical defibrillation.People with higher education and the medical profession have a higher understanding of general medicine,and people with a higher understanding of general medicine are more willing to participate in pre-hospital emergency care.The average Ridit value is:very familiar with general medicine(0.774)>Knowledge of some general practices(0.565)>Never heard of general practice(0.400).The higher education level and the more comprehensive understanding of general medicine had a positive impact on participation in pre-hospital emergency care,with B values of 0.624 and 0.619,OR 95%CI of 1.867(1.544～2.257)and 1.857(1.298～2.657),respectively.Taking medical staff as a reference,the B value of medical students was = 0.942,P = 0.234,the difference was not significant,and the B value of non-medical professional population was all less than 0,the effect is negative.In addition,most people have a positive attitude towards learning pre-hospital first aid,and more than 70%of people are willing to learn and train related knowledge of pre-hospital first aid.Conclusions People in urban areas of Ludian County,Yunnan Province have poor understanding of general practice,low recognition of general practitioners,low demand for general practitioners,and lack of awareness of the importance of pre-hospital emergency treatment.Because of the cognitive differences among different groups,it is necessary to conduct specific training for different groups.

Based on the theory of engineering medicine,a consensus which takes the basic medical ethics of harm reduction as the starting point is proposed to addresses the current clinical problems of a wide variety of radiotherapy setup equipments and methods,large differences by principles,and inaccurate setup.The consensus is formed in two aspects.(1)Advocate coordination of multiple setup methods for joint setup;collect,compare,analyze and screen data on setup methods;determine the operational guidelines and methods for joint setup based on the principle of standardized and unified clinical consistency,with a view to achieving the clinical purpose of greatly ensuring the precision of radiotherapy setup and radiotherapy safety without relying on the golden standard.(2)Standardize the operational methods for tracing setup deviations,so that when the difference in setup leads to poor clinical consistency,the cause of deviation can be traced and the effectiveness of different setups can be screened.Based on the concept of engineering medicine,the consensus is expected to standardize the method of radiotherapy setup,realize accurate radiotherapy,improve treatment effect and show medical ethical care.