To clarify the species, pathogenicity, and distribution of the pathogens causing the root rot of Atractylodes lancea in Hubei province, the tissue separation method was used to isolate the pathogens from root rot samples in the main planting areas of A. lancea in Hubei. Based on the preliminary identification of the Fusarium genus by the internal transcribed spacer(ITS) sequence, three housekeeping genes, EF1/EF2, Btu-F-FO1/Btu-F-RO1, and FF1/FR1, were amplified and sequenced. Subsequently, a phylogenetic tree was constructed based on these TEF gene sequences to classify the pathogens. The pathogenicity of these strains was determined using the root irrigation method. A total of 194 pathogen strains were isolated using the tissue separation method. Molecular identification using the three housekeeping genes identified the pathogens as F. solani, F. oxysporum, F. commune, F. equiseti, F. tricinctum, F. redolens, F. fujikuroi, F. avenaceum, F. acuminatum, and F. incarnatum. Among them, F. solani and F. oxysporum were the dominant strains, widely distributed in multiple regions, with F. solani accounting for approximately 54% of the total isolated strains and F. oxysporum accounting for approximately 34%. Other strains accounted for a relatively small proportion, totaling approximately 12%. The results of pathogenicity determination showed that there were certain differences in pathogenicity among strains. The analysis of the pathogenicity differentiation of the widely distributed F. solani and F. oxysporum strains revealed that these dominant strains in Hubei were mainly highly pathogenic. This study determined the species, pathogenicity, and distribution of the pathogens causing the root rot of A. lancea in Hubei province. The results provide a scientific basis for further understanding the root rot of A. lancea and its epidemic occurrence and scientifically preventing and controlling this disease.
Plant Diseases/microbiology* ; Atractylodes/microbiology* ; Phylogeny ; Plant Roots/microbiology* ; Fusarium/classification* ; China ; Virulence ; Fungal Proteins/genetics*

Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals ; Moringa oleifera/chemistry* ; Male ; Mice ; Seeds/chemistry* ; Plant Leaves/chemistry* ; Mice, Inbred ICR ; Memory Disorders/psychology* ; Transcriptome/drug effects* ; Memory/drug effects* ; Learning/drug effects* ; Metabolomics ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Maze Learning/drug effects*

Objective To explore the influence factors and predictors of treatment response after adrenocorticotropic hormone(ACTH)in infantile epileptic spasms syndrome(IESS).Methods A retrospective analysis was conducted on 80 cases of IESS infants(50 males and 30 females)who were diagnosed and treated with ACTH in Chengdu Women's and Children's Central Hospital from January 2016 to December 2020.Patients were divided into effective group(n=39)and ineffective group(n=41)based on their response of ACTH treatment after 28 days,and their clinical data including the patients'basic information,etiology,treatment programmer,per-and post-treatment Kramer scores of electroencephalogram(EEG)hypsarrhythmia severity and so on,were collected to compare and analyze between the two groups.A modified Poisson regression model was constructed to discover predictors of outcome,and the receiver operating characteristic(ROC)curves were used to assess the prognosis evaluation of the positive predictive value.Results The ages at seizure onset ranged from one month and seven days to one year and nine months.Seizure types included simple epileptic spasms in 66 cases and combined with other types(focal and secondarily generalized seizures)in 14 cases.Thirty-two cases had been given anti-seizure medications(ASMs)before ACTH treatment.The median Kramer scores per-treatment and at 14 days post-treatment were 10.0(8.3,12.0)and 6.0(4.0,7.0),respectively.After ACTH treatment,39(48.8%)cases were effective.Compared with the effective group,the ineffective group had significantly higher proportion of abnormal perinatal conditions,unknown aetiology with normal development,ASMs given before ACTH treatment,the dosages of ACTH greater than 2 U/(kg·d),combinations of two or more ASMs,poor control,and still seizure attack after ACTH treatment of 14 days(P<0.05).Additionally,the Kramer scores after ACTH treatment of 14 days in the ineffective group were also significantly higher(P<0.05).The modified Poisson regression model showed that there were significant statistic differences between the two groups on ASMs given before ACTH treatment(RR=0.546,95%CI 0.357-0.833,P=0.005)and Kramer scores of hypsarrhythmia severity(RR=0.701,95%CI 0.620-0.792,P<0.001),while there were no significant differences between the two groups in term of ages,gender,perinatal conditions,etiologies,seizure types,Kramer scores before treatment,time lag between onset and treatment,duration of ACTH treatment,kinds of ASMs combination.ROC curve analysis showed that only Kramer scores at 14 days after ACTH treatment could predict the treatment response with sensitivity and specificity of 92.7%and 84.6%,respectively,with Youden index of 0.773.The area under the ROC curve was 0.930(95%CI 0.873-0.987,P<0.001)and the cut-point of the score was 6,indicating that the higher the Kramer scores at 14 days after ACTH treatment,the worse the treatment response.The treatment response rate would reduce by about 30.0%if the Kramer score increased by one point.Conclusion ASMs given before ACTH treatment may influence the treatment response.Kramer scores greater than 6 at day 14 after ACTH treatment may be used as a predictor of treatment response after ACTH in IESS patients.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

The traditional Chinese medicine Atractlodis Rhizoma is the dried rhizome of the Asteraceae herbal plant Atractylodes lancea, and it has the functions of drying dampness and strengthening the spleen, removing wind and dissipating cold, and brightening the eyes. The sesquiterpenoids in A. lancea are the main ingredients of its pharmacological activities in clinical practice, including atractylone, β-eudesmol, and hinesol, which possess anti-inflammation, antibacterial, antiviral, and hepatoprotective effects. This study focused on the biosynthesis of sesquiterpenoids in A. lancea, summarized the proportion of the main active ingredients in A. lancea from the genuine region and the non-genuine region, elaborated on the research progress of genes related to biosynthesis pathways, and systematically sorted out the biotic and abiotic factors affecting their biosynthesis, so as to provide a theoretical basis for further research on the biosynthetic mechanism of sesquiterpenoids in A. lancea and development of high-quality medicinal materials of A. lancea.
Atractylodes/metabolism* ; Sesquiterpenes/metabolism* ; Drugs, Chinese Herbal/pharmacology* ; Biosynthetic Pathways

Root rot is a microbial disease that is difficult to control and can result in serious losses in the planting of most Chinese medicinal materials. As high as 87.6% of roots or rhizomes of Chinese medicinal materials are susceptible to root rot, which seriously affects the cultivation development of Chinese medicinal materials. Trichoderma fungi, possessing biological control functions, can induce plants to improve their resistance to microbial diseases, promote plant growth, and effectively reduce the losses caused by various microbial diseases on cultivation. At present, Trichoderma is rarely used in the cultivation of Chinese medicinal materials, so it has great application potential for the prevention and control of root rot diseases in farmed Chinese medicinal materials. Based on the above situation, after comparison and discussion, it is believed that compared with chemical control and physical control, biological control of root rot diseases of Chinese medicinal materials is more efficient and meets the development needs of Chinese medicinal materials ecological planting in China. This paper reviewed the progress in the research and application of Trichoderma in the control of root rot diseases in the root and rhizome of farmed Chinese medicinal materials in the past 10 years and found that most of the current research on the biological control of root rot diseases in Chinese medicinal materials was mostly limited to the verification of the inhibitory effect of Trichoderma strains on the growth of the pathogenic microbes. Studies on the induction effect of Trichoderma on Chinese medicinal materials are not in depth. Studies on the responding mechanisms of most Chinese medicinal materials to Trichoderma are highly absent. Moreover, there are few reports on field experiments, which indicates that there is a long way to go before Trichoderma is widely applied in the farming practice of Chinese medicinal materials. To sum up, this paper aimed to link the present and the future and advocated further relevant research and more experiments on the application of Trichoderma in the farming of Chinese medicinal materials.
Agriculture ; Farms ; Plant Diseases/microbiology* ; Rhizome ; Trichoderma

Dao-di herbs are the treasure of Chinese materia medica and one of the characteristic research objects of traditional Chinese medicine(TCM). Probing into the microevolution of Dao-di herbs can help to reveal their biological essence and quality formation mechanisms. The progress in molecular biology and omics provides the possibility to elucidate the phylogenetic and quality forming characteristics of Dao-di herbs at the molecular level. In particular, genomics serves as a powerful tool to decipher the genetic origins of Dao-di herbs, and molecular markers have been widely used in the research on the genetic diversity and population structure of Dao-di herbs. Focusing on the excellent traits and quality of Dao-di herbs, this paper reviews the studies about the microevolution process of quality formation mechanisms of Dao-di herbs with the application of molecular markers and omics, aiming to underpin the protection and utilization of TCM resources.
Drugs, Chinese Herbal ; Phylogeny ; Plants, Medicinal/chemistry* ; Medicine, Chinese Traditional ; Phenotype

This paper introduced the overview of the "eight trends" of Chinese medicinal materials(CMM) industry in 2021, analyzed the problems of CMM production, and put forward development suggestions. Specifically, "eight trends" could be summarized as follows.(1) The growing area of CMM tended to be stable, and some provinces began to release the local catalog of Dao-di herbs.(2) The protection process of new varieties accelerated, and a number of excellent varieties were bred.(3) The theory of ecological cultivation was further enriched, and the demonstration effect of ecological cultivation technology was prominent.(4) Some CMM realized complete mechanization and formed typical model cases.(5) The number of cultivation bases using the traceability platform increased, and provincial internet trading platforms were set up.(6) The construction of CMM industrial clusters accelerated, and the number of provincial-level regional brands increased rapidly.(7) Many new agricultural business entities were founded nationwide, and a variety of methods were used to drive the intensified development of CMM.(8) A number of local TCM laws were promulgated, and the management regulation of food and medicine homology substances catalogs was issued. On this basis, four suggestions for CMM production were proposed.(1) It is suggested to speed up the formulation of the national catalog of Dao-di herbs and carry out the certification of Dao-di herbs production bases.(2) Ecological planting of forest and grassland medicine should be further strengthened in terms of technical research and promotion based on the principle of ecological priority.(3) The basic work of disaster prevention should be paid more attention and technical measures for disaster mitigation should be developed.(4) The planted area of commonly used CMM should be incorporated into the national regular statistical system.
Agriculture ; Certification ; Commerce ; Industry ; China

Chinese medicinal resources are the cornerstone of the sustainable development of traditional Chinese medicine industry. However, due to the fecundity of species, over-exploitation, and limitations of artificial cultivation, some medicinal plants are depleted and even endangered. Tissue culture, a breakthrough technology in the breeding of traditional Chinese medicinal materials, is not limited by time and space, and can allow the production on an annual basis, which plays an important role in the protection of Chinese medicinal resources. The present study reviewed the applications of tissue culture of medicinal plants in the field of Chinese medicinal resources, including rapid propagation of medicinal plant seedlings, breeding of novel high-yield and high-quality cultivars, construction of a genetic transformation system, and production of secondary metabolites. Meanwhile, the current challenges and suggestions for the future development of this field were also proposed.
Sustainable Development ; Plants, Medicinal/genetics* ; Plant Breeding ; Medicine, Chinese Traditional ; Technology