Rapid characterization of non-volatile phenolic compounds reveals the reliable chemical markers for authentication of traditional Chinese medicine Xiang-ru among confusing Elsholtzia species.

The aerial parts of Mosla chinensis Maxim. and Mosla chinensis cv. 'Jiangxiangru' (MCJ) are widely utilized in traditional Chinese medicine (TCM), known collectively as Xiang-ru. However, due to clinical effectiveness concerns and frequent misidentification, the original plants have increasingly been substituted by various species within the genera Elsholtzia and Mosla. The challenge in distinguishing between these genera arises from their similar morphological and metabolic profiles. To address this issue, our study introduced a rapid method for metabolic characterization, employing high-resolution mass spectrometry-based metabolomics. Through detailed biosynthetic and chemometric analyses, we pinpointed five phenolic compounds-salviaflaside, cynaroside, scutellarein-7-O-D-glucoside, rutin, and vicenin-2-among 203 identified compounds, as reliable chemical markers for distinguishing Xiang-ru from closely related Elsholtzia species. This methodology holds promise for broad application in the analysis of plant aerial parts, especially in verifying the authenticity of aromatic traditional medicinal plants. Our findings underscore the importance of non-volatile compounds as dependable chemical markers in the authentication process of aromatic traditional medicinal plants.

The Response of Growth and Transcriptome Profiles of Tea Grey Blight Disease Pathogen Pestalotiopsis theae to the Variation of Exogenous L-Theanine.

Tea grey blight disease is one of the most destructive diseases that infects tea and is caused by the pathogen Pestalotiopsis theae (Sawada) Steyaert. L-theanine is a unique non-protein amino acid of the tea plant. Different concentrations of L-theanine exhibit significant inhibitory effects on the growth and sporulation ability of the pathogen causing tea grey blight disease. To understand the effect mechanism of L-theanine on P. theae, transcriptome profiling was performed on the pathogenic mycelium treated with three different concentrations of L-theanine: no L-theanine treatment (TH0), 20 mg/mL theanine treatment (TH2), and 40 mg/mL theanine treatment (TH4). The colony growths were significantly lower in the treatment with L-theanine than those without L-theanine. The strain cultured with a high concentration of L-theanine produced no spores or only a few spores. In total, 2344, 3263, and 1158 differentially expressed genes (DEGs) were detected by RNA-sequencing in the three comparisons, Th2 vs. Th0, Th4 vs. Th0, and Th4 vs. Th2, respectively. All DEGs were categorized into 24 distinct clusters. According to GO analysis, low concentrations of L-theanine primarily affected molecular functions, while high concentrations of L-theanine predominantly affected biological processes including external encapsulating structure organization, cell wall organization or biogenesis, and cellular amino acid metabolic process. Based on KEGG, the DEGs of Th2 vs. Th0 were primarily involved in pentose and glucuronate interconversions, histidine metabolism, and tryptophan metabolism. The DEGs of Th4 vs. Th0 were mainly involved in starch and sucrose metabolism, amino sugar, and nucleotide sugar metabolism. This study indicated that L-theanine has a significant impact on the growth and sporulation of the pathogen of tea grey blight disease and mainly affects amino acid metabolism, carbohydrate metabolism, and cellular structure-related biosynthesis processes of pathogenic fungi. This work provides insights into the direct control effect of L-theanine on pathogenic growth and also reveals the molecular mechanisms of inhibition of L-theanine to P. theae.

Investigating the mechanism of Sinisan formula in depression treatment: a comprehensive analysis using GEO datasets, network pharmacology, and molecular docking.

The herbal formula Sinisan (SNS) is a commonly used treatment for depression; however, its mechanism of action remains unclear. This article uses a combination of the GEO database, network pharmacology and molecular docking technologies to investigate the mechanism of action of SNS. The aim is to provide new insights and methods for future depression treatments. The study aims to extract effective compounds and targets for the treatment of depression from the T CMSP database. Relevant targets were searched using the GEO, Disgenet, Drugbank, PharmGKB and T T D databases, followed by screening of core targets. In addition, GO and KEGG pathway enrichment analyses were performed to explore potential pathways for the treatment of depression. Molecular docking was used to evaluate the potential targets and compounds and to identify the optimal core protein-compound complex. Molecular dynamics was used to further investigate the dynamic variability and stability of the complex. The study identified 118 active SNS components and 208 corresponding targets. Topological analysis of P P I networks identified 11 core targets. GO and KEGG pathway enrichment analyses revealed that the mechanism of action for depression involves genes associated with inflammation, apoptosis, oxidative stress, and the MAP K3 and P I3K-Akt signalling pathways. Molecular docking and dynamics simulations showed a strong binding affinity between these compounds and the screened targets, indicating promising biological activity. The present study investigated the active components, targets and pathways of SNS in the treatment of depression. Through a preliminary investigation, key signalling pathways and compounds were identified. These findings provide new directions and ideas for future research on the therapeutic mechanism of SNS and its clinical application in the treatment of depression.Communicated by Ramaswamy H. Sarma.

Evolution and chemical diversity of the volatile compounds in Salvia species.

INTRODUCTION: The plant essential oils are composed of volatile compounds and have significant value in preventing and treating neurological diseases, anxiety, depression, among others. The genus Salvia has been shown to be an important medicinal resource, especially the aerial parts of genus Salvia, which are rich in volatile compounds; however, the chemical diversity and distribution patterns of volatile compounds in Salvia species are still unknown. OBJECTIVE: The work is performed to analyse the chemical diversity and distribution patterns of volatile compounds in genus Salvia. METHODS: The genomic single nucleotide polymorphisms (SNPs) combined with gas chromatography-mass spectrometry (GC-MS) were used to explore the evolution and chemical diversity of Salvia volatile compounds. Initially, the genetic relationship of genus Salvia was revealed by phylogenetic tree that was constructed based on SNPs. And then, GC-MS was applied to explore the chemical diversity of volatile compounds. RESULTS: The results indicated that the volatile compounds were mainly monoterpenoids, sesquiterpenoids, and aliphatic compounds. The genomic SNPs divided species involved in this work into four branches. The volatile compounds in the first and second branches were mainly sesquiterpenoids and monoterpenoids, respectively. Species in the third branch contained more aliphatic compounds and sesquiterpenoids. And those in the fourth branch were also rich in monoterpenoids but had relatively simple chemical compositions. CONCLUSION: This study offered new insights into the phylogenetic relationships besides chemistry diversity and distribution pattern of volatile compounds of genus Salvia, providing theoretical guidance for the investigations and development of secondary metabolites.

Network pharmacology and molecular docking to study the potential molecular mechanism of Qi Fu Yin for diabetic encephalopathy.

Diabetic encephalopathy is a chronic complication of diabetes that lacks an optimized treatment strategy. The present study sought to elucidate the potential molecular mechanism of Qi Fu Yin in improving diabetic encephalopathy through network pharmacology. The active components and target information of Qi Fu Yin were obtained from the TCMSP and Swiss target databases, while the target information of diabetic encephalopathy was sourced from Gene cards, OMIM, and Pharm Gkb databases. Enrichment analyses of KEGG and GO were conducted utilizing drug-disease common targets, while protein-protein interactions were predicted through the utilization of the STRING database platform. Subsequently, molecular docking was executed via Auto Dock Vina to authenticate the interaction between core components and core targets. The findings revealed that Qi Fu Yin exhibited 178 common targets with diabetic encephalopathy, and the enrichment analyses demonstrated that these targets were associated with lipid and atherosclerosis, AGE-RAGE signaling pathways, and other related pathways. The findings of the molecular docking indicated a favorable binding affinity between the active components of drug and the core targets, with EGF and quercetin exhibiting the most notable docking score. Additionally, the molecular dynamics simulation corroborated this high affinity. These results suggested that the active ingredients of Qi Fu Yin, including quercetin and kaempferol, may modulated the expression of genes such as IL10, TNF, EGF, and MMP2, thereby activating the AGE-RAGE signaling pathways and potentially serving as a therapeutic intervention for diabetic encephalopathy.Communicated by Ramaswamy H. Sarma.

Biodegradable mulch films improve yield of winter potatoes through effects on soil properties and nutrients.

Biodegradable mulch films are recognized as a promising substitute of polyethylene (PE) films to alleviate the "white pollution". Biodegradable mulch films with optimum degradation rates increase crop yield even compared to PE films. However, the mechanisms underlying this yield-increasing effect remains elusive. In this study, three biodegradable film treatments (BFM1, BFM2 and BFM3) and one PE film treatment (PFM) were used to evaluate their effects on soil and winter potatoes, and a partial least squares path model (PLS-PM) was constructed to investigate their relationships. The degradation rates of films under different treatments were ranked as BFM3 > BFM2 >BFM1 > PFM, and presented distinctive effects on soil properties and nutrients, structure of soil bacterial community, and yield traits of winter potatoes. The PLS-PM showed that mulch treatments affected potato yield through effects on soil properties (soil water and temperature) and soil nutrients (TOC, DOC, TN and NO3--N). The disintegration of the biodegradable films decreased soil water content and temperature, and reduced the loss of soil nutrients in the topsoil at the later growth stage of winter potatoes compared to PE films. Additionally, the elevated content of soil TN and NO3--N under treatment BFM1 may play a key role in its yield-increasing effect on potatoes compared to treatments PFM and BFM2. Thus, biodegradable mulch films with proper degradation rates regulate soil TN and NO3--N through their effects on soil water and temperature, and subsequently improve the yield of winter potatoes compared to PE mulch films.

Functional divergence of CYP76AKs shapes the chemodiversity of abietane-type diterpenoids in genus Salvia.

The genus Salvia L. (Lamiaceae) comprises myriad distinct medicinal herbs, with terpenoids as one of their major active chemical groups. Abietane-type diterpenoids (ATDs), such as tanshinones and carnosic acids, are specific to Salvia and exhibit taxonomic chemical diversity among lineages. To elucidate how ATD chemical diversity evolved, we carried out large-scale metabolic and phylogenetic analyses of 71 Salvia species, combined with enzyme function, ancestral sequence and chemical trait reconstruction, and comparative genomics experiments. This integrated approach showed that the lineage-wide ATD diversities in Salvia were induced by differences in the oxidation of the terpenoid skeleton at C-20, which was caused by the functional divergence of the cytochrome P450 subfamily CYP76AK. These findings present a unique pattern of chemical diversity in plants that was shaped by the loss of enzyme activity and associated catalytic pathways.

Identification of Abietane-Type Diterpenoids and Phenolic Acids Biosynthesis Genes in Salvia apiana Jepson Through Full-Length Transcriptomic and Metabolomic Profiling.

Salvia apiana (S. apiana) Jepson is a medicinal plant that is frequently used by the Chumash Indians in southern California as a diaphoretic, calmative, diuretic, or antimicrobial agent. Abietane-type diterpenoids (ATDs) and phenolic acids (PAs) are the main bioactive ingredients in S. apiana. However, few studies have looked into the biosynthesis of ATDs and PAs in S. apiana. In this study, using metabolic profiling focused on the ATDs and PAs in the roots and leaves of S. apiana, we found a distinctive metabolic feature with all-around accumulation of ATDs, but absence of salvianolic acid B. To identify the candidate genes involved in these biosynthesis pathways, full-length transcriptome was performed by PacBio single-molecule real-time (SMRT) sequencing. A total of 50 and 40 unigenes were predicted to be involved in ATDs and PAs biosynthesis, respectively. Further transcriptional profile using Illumina HiSeq sequencing showed that the transcriptional variations of these pathways were consistent with the accumulation patterns of corresponding metabolites. A plant kingdom-wide phylogenetic analysis of cytochromes (CYPs) identified two CYP76AK and two CYP76AH subfamily genes that might contribute for the specific ATDs biosynthesis in S. apiana. We also noticed that the clade VII laccase gene family was significantly expanded in Salvia miltiorrhiza compared with that of S. apiana, indicating their involvements in the formation of salvianolic acid B. In conclusion, our results will enable the further understanding of ATDs and PAs biosynthesis in S. apiana and Salvia genus.

Biosynthesis-based spatial metabolome of Salvia miltiorrhiza Bunge by combining metabolomics approaches with mass spectrometry-imaging.

Defining the spatial distributions of metabolites and their structures are the two key aspects for interpreting the complexities of biosynthesis pathways in plants. As a means of obtaining information on the spatial distribution of metabolites, a strategy is needed that has high sensitivity and allows visualization. Toward this goal, we carried an untargeted metabolomics to obtain detailed metabolic information on different plant parts of Salvia miltiorrhiza, the roots of which are widely used in traditional Chinese medicine. Systematic optimization of desorption electrospray ionization mass spectrometry imaging (DESI-MSI) including parameter selection and sample preparation were carried out to improve the sensitivity of the method for plant samples. Guided by the metabolomics data, the spatial distributions of diverse metabolites, including phenolic acids, flavonoids, tanshinones, carbohydrates, and lipids, were characterized and visualized for both the underground and aerial parts. To integrate the information pertaining to the spatial distribution of metabolites, the flavonoids and phenolic acids (phenylpropanoid metabolic pathway) were chosen as examples for in-depth study the biosynthesis pathways in S. miltiorrhiza. The complementary data obtained from the metabolomics study and mass spectrometry imaging enabled the identification of key reactions involved in flavonoid biosynthesis in flowers, which lead the changes in metabolite distribution. The analysis also identified the core precursor for phenolic acid biosynthesis in Salvia species. Therefore, the powerful combination of metabolomics and mass spectrometry imaging provides a basis for obtaining detailed information on spatial metabolome and constitutes a platform for deep understanding the biosynthesis of bioactive metabolites in plants.

[Effects of different carbon sources on growth and active component contents in Salvia miltiorrhiza and S. castanea f. tomentosa hairy roots].

Salvia miltiorrhiza(Sm) and Salvia castanea f. tomentosa(Sc) hairy roots were used as experimental materials to study the effects of six different carbon sources, galactose, fructose, lactose, glucose, arabinose and sucrose(control), on fresh weight, dry weight, contents and yields of salvianolic acids and tanshinones. The results showed that galactose was most beneficial to the growth of two kinds of hairy roots, while lactose and arabinose were not conducive to their growth. As for Sm hairy roots, fructose significantly promoted the accumulation of salvianolic acid B, and the content increased by 5.801 times and 10.151 times compared with the control group, respectively. Glucose significantly promoted the accumulation of salvianolic acids. The content and yield of rosmarinic acid were 7.674 times and 9.260 times of that of the control group, and the content and yield of salvianolic acid B were 5.532 times and 6.675 times of the control group. For the hairy roots of Sc, galactose significantly increased the content and yield of rosmarinic acid, reaching 7.820 times and 9.944 times of the control group, respectively. Fructose promoted the increase of the content and yield of cryptotanshinone, reaching 9.242 times and 6.609 times of the control group, respectively. The study confirmed the optimal carbon source for the hairy root culture of Sm and Sc, and provided theoretical guidance for large-scale production of Sm drug-derived components and the utilization of Sc.

YY1-PVT1 affects trophoblast invasion and adhesion by regulating mTOR pathway-mediated autophagy.

Insufficient trophoblast invasion is the key factor for the occurrence of recurrent spontaneous abortions (RSA). Our previous studies identified Yin Yang 1 (YY1) as a transcription factor involved in the regulation of trophoblast invasiveness at the maternal-fetal interface. Long noncoding RNAs (lncRNAs) can regulate gene expression and autophagy in many ways. The purpose of this study was to explore the relationship between YY1 and lncRNAs and the mechanism by which lncRNAs affect the biological behavior of trophoblasts. Bioinformatic analysis predicted that YY1 had three binding sites in the plasmacytoma variant translocation 1 (PVT1) promoter region. Chromatin immunoprecipitation experiments and electrophoretic mobility shift assays verified that YY1 can directly bind to the PVT1 promoter. Compared with its expression levels in human placental villi tissue samples from the normal pregnancy group, the PVT1 expression levels were significantly lower in tissues from the RSA group. PVT1 knockdown significantly reduced adhesion, invasion, autophagy, and mTOR expression in HTR-8/SVneo cells and greatly increased apoptosis in vitro. This study revealed a novel regulatory pathway in which YY1 can act directly on PVT1 promoter to regulate its transcription, which further affects trophoblast invasion and adhesion by regulating autophagy via the mTOR pathway, and these effects might be involved in RSA pathogenesis.

Effect of curcumin on down-expression of thrombospondin-4 induced by oxidized low-density lipoprotein in mouse macrophages.

This study was designed to investigate the effect of curcumin on the expression of thrombospondin-4 (THBS-4) in mouse macrophages treated with oxidized low-density lipoprotein (oxLDL). The mouse macrophage cell line ANA-1 was treated with oxLDL. Cell viability was measured by MTT assay. ANA-1 cells were divided into five groups: control group, model group, 5 µM curcumin group, 15 µM curcumin group and 25 µM curcumin group. The gene and protein expression levels of THBS-4 in each group were determined by real-time quantitative polymerase chain reaction (PCR) and western blotting, respectively. MTT assay showed that curcumin concentrations up to 25 µM and oxLDL concentrations up to 20 µg/ml had no significant cytotoxic effects on macrophages at 24 h. Real-time quantitative PCR revealed that THBS-4 mRNA expression was markedly reduced by stimulation with oxLDL, but subsequently significantly increased by treatment with curcumin. Western blotting confirmed that curcumin (5, 15, and 25 µM) significantly prevented the decrease in THBS-4 expression induced by oxLDL (20 µg/ml) in macrophages. Curcumin prevents the decrease in THBS-4 expression induced by oxLDL, which may represent one of the anti-atherosclerotic mechanisms of curcumin.