In order to provide a reference basis for the development of relevant compound preparations， this article takes a comprehensive analysis of the usage and dosage of famous classical formulas in Han dynasty from various perspectives， and gives corresponding countermeasures on this basis. Through the comprehensive analysis of the classification and statistics of Zhongjing's medication characteristics， decoction methods， administration and dosage， and combining conversion methods of weights and measures by ancient medical practitioners， along with the dosage and administration of the listed Han dynasty famous classical formulas， it was found that the "Jiangxi method" served as a general guideline for administration according to Zhongjing's original text. This method allowed for flexible dosing based on the conversion of the ancient measurements to modern equivalents［13.8 g per Liang（两）］， ensuring the safe and effective medication of these formulas. After combing， it is found that although the dosage of single medicine is large in famous classical formulas from Han dynasty， the administration is flexible. The crude drug amount per administration serves as the foundational dose， with the frequency of administration adjusted flexibly according to the condition. This dosing approach becomes the key for the rational development of compound formulations of famous classical formulas. Based on the conclusions of the study， it is recommended that when developing compound formulations of famous classical formulas in Han dynasty， the original administration method and dosage should be respected. The original crude drug amount per administration should be considered as the daily foundational dose， with the frequency of administration described within a range（1 to N times per day， where N is the maximum number of administrations as per the original text）. The specific frequency of administration can be adjusted flexibly by clinical practitioners based on the individual condition. This approach should also be adopted in toxicological studies， where the dosage per administration serves as the basis for toxicity research， and the toxicity profile at the maximum administration frequency should be observed， providing guidance on the clinical safety range. Corresponding drug labels should provide information within a range to indicate toxicological risk intervals.

ObjectiveRoot rot is one of the most serious diseases in the cultivation and production of Atractylodes lancea. Trichoderma spp. are effective in the biocontrol of root rot without causing environmental pollution. This study aims to isolate and study a Trichoderma strain capable preventing and controlling root rot from the rhizosphere of A. lancea and to solve the problem of disease prevention and control in the planting and production of A. lancea. MethodTrichoderma T2204 was isolated by the dilution-coating method and identified by ITS sequencing. The inhibitory activities of T2204 and its volatiles against two pathogenic fungal strains were examined by dual-culture and co-culture experiments. The biocontrol potential of T2204 on root rot of A. lancea and the effect of T2204 on the accumulation of medicinal compounds in the rhizosphere of A. lancea were investigated by pot experiments and GC-MS， respectively. In addition， the optimal medium， photoperiod， temperature， pH， and carbon and nitrogen sources for the culture of T2204 were explored. ResultThe Trichoderma isolate T2204 was identified as T. citrinoviride and had direct inhibitory effects on two highly pathogenic strains causing root rot. In the dual-culture experiments with the two pathogenic strains， T2204 showcased the inhibition rates of 77.90% and 76.80%， respectively. In the co-culture experiments with the two pathogenic strains， the volatile organic compounds produced by T2204 showed the inhibition rates of 57.11% and 81.11%， respectively. The pot experiments showed that the survival rate of A. lancea seedlings infected by root rot reached 100% after inoculation with T2204 and was only 50% in the case without inoculation of T2204. After 150 days of cultivation， the dry weight and atractylodin content of the rhizome of A. lancea plants treated with T2204 increased by 32% （P<0.05） and 11%， respectively， compared with the untreated group. The optimal conditions for the growth of T2204 were PDA or PSA medium， photoperiod of 12 h dark/12 h light， 25-30 °C， pH 5-6， carbon sources of glucose， D-fructose， soluble starch， and maltose， and the nitrogen sources of ammonium sulfate and ammonium dihydrogen phosphate. The optimal conditions for the sporulation of T2204 were PSA or CMA medium， photoperiod of 12 h dark/12 h light， 20-30 °C， pH 8， carbon source of sucrose， and nitrogen source of sodium nitrate. ConclusionT2204 could improve the growth and root rot resistance of A. lancea and promote the accumulation of medicinal compounds. The findings laid a foundation for the industrialized production and application of T2204 in the production of A. lancea in the future.

Superoxide dismutase (SOD) is a key enzyme that scavenge superoxide anion free radical (O₂^·-) in vivo, and plays an important role in plant growth and development and stress. In this study, according to the genome and transcriptome data of Salvia miltiorrhizae, 9 SOD genes were identified and the expression patterns of SOD family genes were further analyzed, including 5 Cu/Zn-SOD, 2 Fe-SOD and 2 Mn-SOD. On the basis of proteomic analysis, combined with transcriptome data, one full-length cDNA of Mn-SOD gene, namely SmMSD2 was cloned from Salvia miltiorrhizae. The results of amino acid sequence alignment and phylogenetic analysis showed that SmMSD2 protein belongs to the manganese superoxide dismutase (Mn-SOD) subfamily, and SmMSD2 protein shares high sequence identity with the Mn-SOD proteins of various plants that all contain a C-terminal conserved metal-binding domain "DVWEHAYY". The prokaryotic expression vector pMAL-c2X-SmMSD2 was constructed and transformed into E. coli BL21 expressing strain, and the target recombinant protein was successfully induced and its enzymatic properties were analyzed. Spatiotemporal expression analysis showed that SmMSD2 gene was expressed in all tissues, indicating that SmMSD2 gene was constitutively expressed at a stable level. Real-time quantitative PCR indicated that drought (15% PEG6000), abscisic acid (ABA) and indole-3-acetic acid (IAA) could induce the expression of SmMSD2 gene, suggesting that SmMSD2 may be involved in the response of Salvia miltiorrhizae to abiotic stress such as drought, as well as the signaling pathways of phytohormone ABA and IAA. These results lay the foundation for further elucidating the involvement of superoxide dismutase in the stress response and accumulation of active components of Salvia miltiorrhiza.

Zearalenone(ZEN) is a toxic metabolite produced by Fusarium culmorum, F. graminearum, F. tricinctum, and other fungi, with estrogenic characteristics. Exposure to or ingestion of ZEN during pregnancy can cause reproductive dysfunction, miscarriage, stillbirth, and malformation, and seriously endanger human life and health. The detection methods for ZEN in the Chinese Pharmacopoeia(2020 edition) are liquid chromatography(LC) and liquid chromatography-mass spectrometry(LC-MS), and it is stipulated that ZEN should not exceed 500 μg in 1 000 g of Coicis Semen. Although these detection methods by instruments can achieve the qualitative and quantitative analysis of ZEN in Coicis Semen, their high detection cost and long periods hinder the rapid screening of a large number of samples in the field. In this study, the synthesized ZEN hapten was conjugated with bovine serum albumin(BSA) and ovalbumin(OVA) to obtain the complete ZEN antigen. By virtue of antibody preparation techniques, ZEN monoclonal antibody 4F6 was prepared, which showed 177.5%, 137.1%, and 109.7% cross-reactivity with ZEN structural analogs zearalanol, zearalenone, and α-zearalenol, respectively, and no cross-reactivity with other fungal toxins such as aflatoxin. Direct competitive enzyme-linked immunosorbent assay(dcELISA) based on ZEN monoclonal antibody 4F6 was developed for the determination of ZEN in Coicis Semen with an IC_(50) of 1.3 μg·L~(-1) and a detection range of 0.22-21.92 μg·L~(-1). The recoveries were 83.91%-105.3% and the RSD was 4.4%-8.0%. The established dcELISA method was used to determine the ZEN residuals in nine batches of Coicis Semen samples, and the results were validated by LC-MS. The correlation between the two detection methods was found to be 0.993 9, indicating that the established dcELISA could be used for the rapid qualitative and quantitative detection of ZEN residuals in Coicis Semen.
Humans ; Female ; Pregnancy ; Zearalenone ; Coix ; Enzyme-Linked Immunosorbent Assay ; Mycotoxins ; Antibodies, Monoclonal

Poria(Fu Ling) is a bulk traditional Chinese medicine(TCM)with a long history and complex varieties. The royal medical records of the Qing Dynasty include multiple medicinal materials of Fu Ling, such as Bai Fu Ling(white Poria), Chi Fu Ling(rubra Poria), and Zhu Fu Ling(Poria processed with cinnabaris). The Palace Museum preserves 6 kinds of specimens including Fu Ling Ge(dried Poria), Bai Fu Ling, Chi Fu Ling, Zhu Fu Ling, Bai Fu Shen(white Poria cum Radix Pini), and Fu Shen Mu(Poria cum Radix Pini). After trait identification and textual research, we found that Fu Ling Ge was an intact sclerotium, which was processed into Fu Ling Pi(Poriae Cutis), Bai Fu Ling and other medicinal materials in the Palace. The Fu Ling in the Qing Dynasty Pa-lace was mainly from the tribute paid of the officials in Yunnan-Guizhou region. The tribute situation was stable in the whole Qing Dynasty, and changed in the late Qing Dynasty. The cultural relics of Fu Ling in the Qing Dynasty Palace confirm with the archival documents such as the royal medical records and herbal medicine books, providing precious historical materials for understanding Fu Ling in the Qing Dynasty and a basis for the restoration of the processing of the Fu Ling in the Qing Dynasty Palace.
Animals ; Poria ; China ; Books ; Coleoptera ; Medical Records ; Wolfiporia

Sepsis is characterized by a severe and life-threatening host immune response to polymicrobial infection accompanied by organ dysfunction.Studies on the therapeutic effect and mechanism of immunomod-ulatory drugs on the sepsis-induced hyperinflammatory or immunosuppression states of various im-mune cells remain limited.This study aimed to investigate the protective effects and underlying mechanism of artesunate(ART)on the splenic microenvironment of cecal ligation and puncture-induced sepsis model mice using single-cell RNA sequencing(scRNA-seq)and experimental validations.The scRNA-seq analysis revealed that ART inhibited the activation of pro-inflammatory macrophages recruited during sepsis.ART could restore neutrophils'chemotaxis and immune function in the septic spleen.It inhibited the activation of T regulatory cells but promoted the cytotoxic function of natural killer cells during sepsis.ART also promoted the differentiation and activity of splenic B cells in mice with sepsis.These results indicated that ART could alleviate the inflammatory and/or immunosuppressive states of various immune cells involved in sepsis to balance the immune homeostasis within the host.Overall,this study provided a comprehensive investigation of the regulatory effect of ART on the splenic microenvironment in sepsis,thus contributing to the application of ART as adjunctive therapy for the clinical treatment of sepsis.

Dead heart is an important trait of pith-decayed Scutellariae Radix. The purpose of this study was to clarify the scientific connotation of the dead heart using multi-omics. Metabolomics and transcriptomics combined with multivariate statistical analysis such as principal component analysis(PCA) and partial least squares discriminant analysis(PLS-DA) were used to systematically compare the differences in chemical composition and gene expression among phloem, outer xylem and near-dead xylem of pith-decayed Scutella-riae Radix. The results revealed significant differences in the contents of flavonoid glycosides and aglycones among the three parts. Compared with phloem and outer xylem, near-dead xylem had markedly lowered content of flavonoid glycosides(including baicalin, norwogonin-7-O-β-D-glucuronide, oroxylin A-7-O-β-D-glucuronide, and wogonoside) while markedly increased content of aglycones(including 3,5,7,2',6'-pentahydroxy dihydroflavone, baicalin, wogonin, and oroxylin A). The differentially expressed genes were mainly concentrated in KEGG pathways such as phenylpropanoid metabolism, flavonoid biosynthesis, ABC transporter, and plant MAPK signal transduction pathway. This study systematically elucidated the material basis of the dead heart of pith-decayed Scutellariae Radix with multiple growing years. Specifically, the content of flavonoid aglycones was significantly increased in the near-dead xylem, and the gene expression of metabolic pathways such as flavonoid glycoside hydrolysis, interxylary cork development and programmed apoptosis was significantly up-regulated. This study provided a theoretical basis for guiding the high-quality production of pith-decayed Scutellariae Radix.
Drugs, Chinese Herbal/chemistry* ; Scutellaria baicalensis/chemistry* ; Glucuronides ; Multiomics ; Flavonoids/chemistry*

To realize the non-destructive and rapid origin discrimination of Poria cocos in batches, this study established the P. cocos origin recognition model based on hyperspectral imaging combined with machine learning. P. cocos samples from Anhui, Fujian, Guangxi, Hubei, Hunan, Henan and Yunnan were used as the research objects. Hyperspectral data were collected in the visible and near infrared band(V-band, 410-990 nm) and shortwave infrared band(S-band, 950-2 500 nm). The original spectral data were divided into S-band, V-band and full-band. With the original data(RD) of different bands, multiplicative scatter correction(MSC), standard normal variation(SNV), S-G smoothing(SGS), first derivative(FD), second derivative(SD) and other pretreatments were carried out. Then the data were classified according to three different types of producing areas: province, county and batch. The origin identification model was established by partial least squares discriminant analysis(PLS-DA) and linear support vector machine(LinearSVC). Finally, confusion matrix was employed to evaluate the optimal model, with F1 score as the evaluation standard. The results revealed that the origin identification model established by FD combined with LinearSVC had the highest prediction accuracy in full-band range classified by province, V-band range by county and full-band range by batch, which were 99.28%, 98.55% and 97.45%, respectively, and the overall F1 scores of these three models were 99.16%, 98.59% and 97.58%, respectively, indicating excellent performance of these models. Therefore, hyperspectral imaging combined with LinearSVC can realize the non-destructive, accurate and rapid identification of P. cocos from different producing areas in batches, which is conducive to the directional research and production of P. cocos.
Hyperspectral Imaging ; Wolfiporia ; China ; Least-Squares Analysis ; Support Vector Machine

In this study, visual-near infrared(VNIR), short-wave infrared(SWIR), and VNIR + SWIR fusion hyperspectral data of Polygonatum cyrtonema from different geographical origins were collected and preprocessed by first derivative(FD), second derivative(SD), Savitzky-Golay smoothing(S-G), standard normalized variate(SNV), multiplicative scatter correction(MSC), FD+S-G, and SD+S-G. Three algorithms, namely random forest(RF), linear support vector classification(LinearSVC), and partial least squares discriminant analysis(PLS-DA), were used to establish the identification models of P. cyrtonema origin from three spatial scales, i.e., province, county, and township, respectively. Successive projection algorithm(SPA) and competitive adaptive reweighted sampling(CARS) were used to screen the characteristic bands, and the P. cyrtonema origin identification models were established according to the selected characteristic bands. The results showed that(1)after FD preprocessing of VNIR+SWIR fusion hyperspectral data, the accuracy of recognition models established using LinearSVC was the highest, reaching 99.97% and 99.82% in the province origin identification model, 100.00% and 99.46% in the county origin identification model, and 99.62% and 98.39% in the township origin identification model. The accuracy of province, county, and township origin identification models reached more than 98.00%.(2)Among the 26 characteristic bands selected by CARS, after FD pretreatment, the accuracy of origin identification models of different spatial scales was the highest using LinearSVC, reaching 98.59% and 97.05% in the province origin identification model, 97.79% and 94.75% in the county origin identification model, and 90.13% and 87.95% in the township origin identification model. The accuracy of identification models of different spatial scales established by 26 characteristic bands reached more than 87.00%. The results show that hyperspectral imaging technology can realize accurate identification of P. cyrtonema origin from different spatial scales.
Spectroscopy, Near-Infrared ; Polygonatum ; Algorithms ; Random Forest ; Least-Squares Analysis

Panax quinquefolium is one of the most common medicinal plants worldwide. Ginsenosides are the major pharmaceutical components in P. quinquefolium. The biosynthesis of ginsenosides in different tissues of P. quinquefolium remained largely unknown. In the current study, an integrative method of transcriptome and metabolome analysis was used to elucidate the ginsenosides biosynthesis pathways in different tissues of P. quinquefolium. Herein, 22 ginsenosides in roots, leaves, and flower buds showed uneven distribution patterns. A comprehensive P. quinquefolium transcriptome was generated through single molecular real-time (SMRT) and second-generation sequencing (NGS) technologies, which revealed the ginsenoside pathway genes and UDP-glycosyltransferases (UGT) family genes explicitly expressed in roots, leaves, and flower buds. The weighted gene co-expression network analysis (WGCNA) of ginsenoside biosynthesis genes, UGT genes and ginsenoside contents indicated that three UGT genes were positively correlated to pseudoginsenoside F11, notoginsenoside R1, notoginsenoside R2 and pseudoginsenoside RT5. These results provide insights into ginsenoside biosynthesis in different tissues ofP. quinquefolium.
Ginsenosides ; Panax ; Plant Roots ; Plants, Medicinal ; Transcriptome