BACKGROUND

Espada plant, local name for the snake plant (Dracaena trifasciata) in the Philippines, is characterized by its upright sword-like leaves with vibrant yellow edges under the variety of Laurentii in the Asparagaceae family. This plant has been identified as a viable candidate for cancer research.

To investigate the antiproliferative and cytotoxic capabilities of a semi-purified methanolic extract of D. trifasciata extracted as a basis for cancer research.

The plant extracts were subjected to (1) qualitative phytochemical analysis, (2) instrumentation analysis which includes Fourier Transform Infrared Spectroscopy (FTIR-ATR) and Total Flavonoid Content (TFC), to quantify bioactive ingredients, analyze structures, and evaluate biological chemicals, respectively, and tested to (3) biological assay on the HCT 116 human colorectal cancer cell line using the MTT Cytotoxic Assay.

D. trifasciata extracts revealed the presence of flavonoids, saponins, sterols, triterpenes, alkaloids, and glycosides, all of which contain an OH group and have a high solubility in polar solvents. It correlates to the results of TFC, found to be within 266.8333 mg – 622.6801 mg presented as ?g Quercetin per mL with a linear line of y=0.0005x + 0.023 with a coefficient R2 value of 0.9933. This finding corresponds to FTIR-ATR data, which shows a prominent broad appearance of -OH (primary and secondary alcohol) at peak 3327.21. In MTT Cytotoxic Assay, it has a minimal IC50 than Doxorubicin, as seen in Trial 2 with IC50 = 0.8012 ?g/mL, while antiproliferative activity revealed that D. trifasciata has minimal inhibitory activity in Trials 1 and 3 at the same concentration of 3.125 ?g/ mL as compared to the high antiproliferative property of positive control, as seen in Trial 2. Data showed that the D. trifasciata extract has minimal effectiveness even at 1.56 ?g/mL concentration, implying that other extraction techniques such as fractionation and purification may be used to satisfy its antiproliferative property.

The D. trifasciata extract contains polyalcohol, phenol, polyphenol, and polyhydroxylated metabolites, which are structures that correspond to the major groups of flavonoids (structures that have antioxidant properties), contributing to the high TFC values.

The shortage of Paridis Rhizoma promotes comprehensive utilization and development research of waste aerial parts of the original plant. The chemical compositions of the aerial parts of Paris polyphylla var. chinensis were clarified based on the ultrahigh performance liquid chromatography tandem quadrupoles time of flight mass spectrometry(UPLC-QTOF-MS/MS) in the previous investigation, and a series of flavonoids and steroidal saponins were isolated. The present study continued the isolation and structure identification of the new potential compounds discovered based on UPLC-QTOF-MS/MS. By using silica gel, ODS, flash rapid preparation, and other column chromatography techniques, combined with prepared high performance liquid chromatography, five compounds were isolated from the 75% ethanol extract of the aerial parts of P. polyphylla var. chinensis, and their structures were identified by spectral data combined with chemical transformations, respectively, as(23S,25R)-23,27-dihydroxy-diosgenin-3-O-α-L-rhamnopyranosyl-(1→2)-[β-D-glucopyranosyl-(1→3)]-β-D-glucopyranoside(1),(25R)-26-O-β-D-glucopyranosyl-furost-5-en-3β,22α,26-triol-3-O-α-L-rhamnopyranosyl-(1→2)-[β-D-glucopyranosyl-(1→4)-α-L-rhamnopyranosyl-(1→4)]-β-D-glucopyranoside(2),(25R)-27-O-β-D-glucopyranosyl-5-en-3β,27-dihydroxyspirost-3-O-α-L-rhamnopyranosyl-(1→2)-[β-D-glucopyranosyl-(1→4)-α-L-rhamnopyranosyl-(1→4)]-β-D-glucopyranoside(3),(25R)-27-O-β-D-glucopyranosyl-5-en-3β,27-dihydroxyspirost-3-O-α-L-rhamnopyranosyl-(1→2)-[β-D-glucopyranosyl-(1→3)]-β-D-glucopyranoside(4), and aculeatiside A(5). Among them, compounds 1-4 were new ones, and compound 5 was isolated from P. polyphylla var. chinensis for the first time.
Tandem Mass Spectrometry ; Saponins/analysis* ; Liliaceae/chemistry* ; Chromatography, High Pressure Liquid ; Rhizome/chemistry* ; Melanthiaceae ; Molecular Structure

This study aims to investigate the impact of hepatocyte nuclear factor 1β (HNF1b) on macrophage sortilin-mediated lipid metabolism and aortic atherosclerosis and explore the role of the flavone of Polygonatum odoratum (PAOA-flavone)-promoted small ubiquitin-related modifier (SUMO) modification in the atheroprotective efficacy of HNF1b. HNF1b was predicted to be a transcriptional regulator of sortilin expression via bioinformatics, dual-luciferase reporter gene assay, and chromatin immunoprecipitation. HNF1b overexpression decreased sortilin expression and cellular lipid contents in THP-1 macrophages, leading to a depression in atherosclerotic plaque formation in low-density lipoprotein (LDL) receptor-deficient (LDLR^-/-) mice. Multiple SUMO1-modified sites were identified on the HNF1b protein and co-immunoprecipitation confirmed its SUMO1 modification. The SUMOylation of HNF1b protein enhanced the HNF1b-inhibited effect on sortilin expression and reduced lipid contents in macrophages. PAOA-flavone treatment promoted SUMO-activating enzyme subunit 1 (SAE1) expression and SAE1-catalyzed SUMOylation of the HNF1b protein, which prevented sortilin-mediated lipid accumulation in macrophages and the formation of atherosclerotic plaques in apolipoprotein E-deficient (ApoE^-/-) mice. Interference with SAE1 abrogated the improvement in lipid metabolism in macrophage cells and atheroprotective efficacy in vivo upon PAOA-flavone administration. In summary, HNF1b transcriptionally suppressed sortilin expression and macrophage lipid accumulation to inhibit aortic lipid deposition and the development of atherosclerosis. This anti-atherosclerotic effect was enhanced by PAOA-flavone-facilitated, SAE1-catalyzed SUMOylation of the HNF1b protein.
Mice ; Animals ; Polygonatum/metabolism* ; Sumoylation ; Hepatocyte Nuclear Factor 1-beta/metabolism* ; Atherosclerosis/metabolism* ; Flavones ; Lipids

Five new saponins, including three steroid saponins, paristenoids A-C (1-3), and two triterpenoid saponins, paristenoids D-E (4-5), along with four known ones (6-9) were isolated from the rhizomes of Paris polyphylla var. stenophylla. The structures of the isolated compounds were identified mainly by detailed spectroscopic analysis, including extensive 1D and 2D NMR, MS, as well as chemical methods. Compound 3 is a new cyclocholestanol-type steroidal saponin with a rare 6/6/6/5/5 fused-rings cholestanol skeleton, and this skeleton has been first found from the genus Paris. The cytotoxicities of the isolated compounds against three human three glioma cell lines (U87MG, U251MG and SHG44) were evaluated, and compound 7 displayed certain inhibitory effect with IC₅₀ values of 15.22 ± 1.73, 18.87 ± 1.81 and 17.64 ± 1.69 μmol·L^-1, respectively.
Humans ; Rhizome/chemistry* ; Steroids/chemistry* ; Liliaceae/chemistry* ; Saponins/chemistry* ; Triterpenes/analysis*

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

This study aimed to establish a method based on machine learning technology for accurately predicting the commodity specifications of Fritillariae Cirrhosae Bulbus and explore the application of data augmentation technology in the field of drug analysis. The correlation optimized warping(COW) algorithm was used to perform peak calibration on the UPLC-QDA multi-channel superimposed data of 30 batches of samples, and the data were normalized. Through unsupervised learning methods such as clustering analysis, principal component analysis(PCA), and correlation analysis, the general characteristics of the data were understood. Then, the logistic regression algorithm was used for supervised learning on the data, and the condition tabular generative adversarial networks(CTGAN) was used to generate a large amount of data. Logistic regression classification models were trained separately using the real data and the data generated by CTGAN, and these models were evaluated. The logistic regression model trained with real data achieved cross-validation and test set accuracies of 0.95 and 1.00, respectively, while the logistic regression model trained with both real and CTGAN-generated data achieved cross-validation and test set accuracies of 0.99 and 1.00, respectively. The results indicate that machine learning can accurately predict the classification of Songbei, Qingbei, and Lubeibased on UPLC-QDA detection data. CTGAN-generated data can partially compensate for the lack of data in drug analysis, improving the accuracy and predictive ability of machine learning models.
Drugs, Chinese Herbal ; Fritillaria ; Technology ; Machine Learning ; Plant Roots

Circadian rhythm refers to the daily rhythmic variations in an organism. The irregular lifestyles of modern humans have led to a high incidence of chronic diseases, highlighting an inseparable relationship between disrupted circadian rhythm and disease development. TCM has long discussed rhythmic variations, with records dating back to the Yellow Emperor's Inner Canon(Huang Di Nei Jing), which laid a rich theoretical foundation for the research on circadian rhythm. Modern medical research has provided a more comprehensive explanation of its molecular mechanisms. This article integrated the current understanding of circadian rhythm in both Chinese and western medicine, emphasizing the crucial relationship between rhythm regulation and disease treatment. By highlighting the interdisciplinary nature of the two fields, it offers new directions for exploring the field of chronomedicine.
Humans ; Medicine, Chinese Traditional ; Acupuncture Therapy ; Circadian Rhythm ; Biomedical Research ; Polygonatum

Dracaena marginata is a widely cultivated horticultural plant in the world, which has high ornamental and medicinal value. In this study, the whole genome of leaves from D. marginata was sequenced by Illumina HiSeq 4000 platform. The chloroplast genome were assembled for functional annotation, sequence characteristics and phylogenetic analysis. The results showed that the chloroplast genome of D. marginata composed of four regions with a size of 154 926 bp, which was the smallest chloroplast genome reported for Dracaena species to date. A total of 132 genes were identified, including 86 coding genes, 38 tRNA genes and 8 rRNA genes. Codon bias analysis found that the codon usage bias was weak and there was a bias for using A/U base endings. 46 simple sequence repeat and 54 repeats loci were detected in the chloroplast genome, with the maximum detection rate in the large single copy region and inverted repeat region, respectively. The inverted repeats boundaries of D. marginata and Dracaena were highly conserved, whereas gene location differences occurred. Phylogenetic analysis revealed that D. serrulata and D. cinnabari form a monophyletic clade, which was the closest relationship and conformed to the morphological classification characteristics. The analysis of the chloroplast genome of D. marginata provides important data basis for species identification, genetic diversity and chloroplast genome engineering of Dracaena.
Phylogeny ; Dracaena ; Genome, Chloroplast/genetics* ; Base Sequence ; Genes, Plant

Paris rugosa(Melanthiaceae) only grows in Yunnan province of China at present, and its chemical constituents have not been systematically studied. In this study, nine compounds, including one new compound pariposide G(1) and eight known compounds of cerin(2), stigmast-4-en-3-one(3), β-ecdysone(4), ophiopogonin C'(5), methyl protogracillin(6), gracillin(7), parissaponin H(8), and parisyunnanoside G(9), were isolated and identified from the ethanol extract of P. rugosa rhizomes by column chromatography methods and semi-preparative high-performance liquid chromatography(HPLC). Compounds 1-9 were isolated from this plant for the first time. The antibacterial and antifungal activities of all the compounds were evaluated. The results showed that ophiopogonin C' had strong inhibitory effects on Candida albicans [MIC_(90)=(4.68±0.01) μmol·L~(-1)] and the fluconazole-resistant strain of C. albicans [MIC_(90)=(4.66±0.02) μmol·L~(-1)].
Anti-Bacterial Agents ; Candida albicans ; China ; Liliaceae ; Melanthiaceae ; Rhizome

In this study, the authors cloned a glycosyltransferase gene PpUGT2 from Paris polyphylla var. yunnanensis with the ORF length of 1 773 bp and encoding 590 amino acids. The phylogenetic tree revealed that PpUGT2 belonged to the UGT80A subfamily and was named as UGT80A49 by the UDP-glycosyltransferase(UGT) Nomenclature Committee. The expression vector pET28a-PpUGT2 was constructed, and enzyme catalytic reaction in vitro was conducted via inducing protein expression and extraction. With UDP-glucose as sugar donor and diosgenin and pennogenin as substrates, the protein was found with the ability to catalyze the C-3 hydroxyl β-glycosylation of diosgenin and pennogenin. To further explore its catalytic characteristic, 15 substrates including steroids and triterpenes were selected and PpUGT2 showed its activity towards the C-17 position of sterol testosterone with UDP-glucose as sugar donor. Homology modelling and molecule docking of PpUGT2 with substrates predicted the key residues interacting with ligands. The re-levant residues of PpUGT2-ligand binding model were scanned to calculate the corresponding mutants, and the optimized mutants were obtained according to the changes in binding affinity of the ligand with protein and the surrounding residues within 5.0 Å of ligands, which had reference value for design of the mutants. This study laid a foundation for further exploring the biosynthetic pathway of polyphyllin as well as the structure of sterol glycosyltransferases.
Ligands ; Glycosyltransferases/genetics* ; Sterols ; Phylogeny ; Ascomycota ; Liliaceae/chemistry* ; Melanthiaceae ; Diosgenin ; Sugars ; Glucose ; Uridine Diphosphate