Rapid identification and on-site analysis by miniature mass spectrometry of chemical markers for fragrant rosewood authentication.

Dalbergia odorifera T. Chen (Dalbergiae Odoriferae Lignum, DOL), renowned for its therapeutic applications in traditional Chinese medicine and its value in crafting luxury items, faces challenges due to the slow heartwood formation process and subsequent market adulteration. The proliferation of counterfeit products necessitates reliable methods for rapid, on-site authentication. This study aims to establish a rapid, green, and on-site method to identify the authenticity of DOL. A comprehensive analysis was conducted on 10 batches of DOL samples sourced from diverse locations, utilizing a miniature mass spectrometer (mini MS) equipped with a paper capillary spray (PCS) technique. Multivariate statistical approaches were employed to classify the samples and pinpoint chemical markers indicative of authenticity. Subsequent MS-guided separation and thin-layer chromatography (TLC) verified the markers' validity and assessed the greenness profile by Analytical Eco-scale (AES), Green Analytical Procedure Index (GAPI), and Analytical GREEnness (AGREE). A total of 10 batches of DOL samples detected by PCS-mini MS were classified into authentic and counterfeit, by unsupervised cluster analysis. Sativanone (m/z 301.1, VIP=6.0, p=0.000001) and 3'-O-methylviolanone (m/z 331.1, VIP=3.2, p=0.000382) were regarded as the chemical markers for the rapid identification of DOL. The results of the TLC method were consistent with this method, and the new method is greener. The application of mini MS for on-site authentication of DOL via specific chemical markers offers significant advantages, including operational simplicity, high efficiency, greenness, and accuracy. The deployment of this strategy promises to facilitate the effective regulation of DOL, ensuring authenticity and quality.

Analysis of spatial and temporal variations of vegetation NPP and TWS in the Yangtze River Basin.

Net primary productivity (NPP) is an important parameter reflecting vegetation growth, and water is one of the necessary factors for vegetation growth. Investigating the mutual influence between NPP and water is significant for ensuring the stable development of the ecological environment. This study focuses on the Yangtze River Basin (YRB) as the research area, and based on medium-resolution imaging spectrometer (MODIS) data, climate data, and gravity recovery and climate experiment (GRACE) data, the spatiotemporal evolution characteristics of vegetation NPP and terrestrial water storage (TWS) in the YRB from 2000 to 2022 are explored and analyzes the mutual influence of NPP with climate factors and TWS. The results show that vegetation NPP (4.10 gC·m-2·a-1) and TWS (0.55 mm) in the YRB have exhibited an increasing trend from 2000 to 2022, with a strong correlation between the two, which is related to recent environmental policies. Analysis of the impact of climate factors on NPP reveals that temperature and TWS significantly positively impact NPP changes. Furthermore, comparisons between NPP and TWS indicate that changes in TWS substantially promote plant growth. In addition, the comparison between NPP and TWS indicates that changes in TWS have an important promoting effect on plant growth. Surface water (SWS) and soil water (SM) have a significant promoting effect on plant growth, but with a strong lag, while the consumption of groundwater (GWS) has been promoting plant growth without significant lag.

An integrated 3-M workflow for accelerated annotation of natural products: Flavonoids in Daemonorops draco as a case study.

Efficient annotation and dereplication of metabolites, particularly those from resource-endangered plants lacking reference standards, is crucial for natural products development. Advanced techniques like high resolution mass spectrometry (LC-HRMS) have significantly enhanced metabolite characterization. However, challenges such as redundant spectral data, limited reference databases, and inferior dereplication capacity hinder its broad applicability. In this study, we propose an integrated annotation strategy utilizing various computational tools, including mass defect filters (MDF), molecular fingerprints, and molecular networks (3-M strategy). We demonstrate this approach using Daemonorops draco (D. draco), a renowned yet resource-endangered natural product rich in functional flavonoids. By applying pre-defined flavonoids MDF windows, the MS1 peaks reduced by 85 % (from 10,043 to 1,585) in positive mode. Subsequent de novo molecular formula annotation and molecular fingerprint-based structure elucidation were automatically performed using the SIRIUS machine learning platform. Additionally, two complementary cluster tools were incorporated, including feature-based molecular network (FBMN) and t-distributed stochastic neighbor embedding (t-SNE) molecular network, to efficiently dereplicate metabolites and discover novel flavonoids in D. draco. Totally, 108 flavonoids (containing flavones, flavanes, flavanones, chalcones, chalcanes, dihydrochalcones, anthocyanins, homoisoflavanes, homoisoflavanones, and isoflavones), 18 flavone derivatives, and 54 flavone oligomers were identified. Among them, 25 compounds were firstly reported in D. draco. This 3-M workflow shed light on the composition of D. draco and validate the effectiveness of our approach, which facilitated the rapid annotation and screening of subclass metabolites in complex natural products.

Chiral resolution of furofuran lignans and their derivatives from the stems of Dendrobium 'Sonia'.

Five new furofuran lignans and their derivatives, (-)-glaberide I 4-O-ß-D-glucopyranoside (1a), (+)-glaberide I 4-O-ß-D-glucopyranoside (1b), (+)-glaberide I 7'-ethoxy-4-O-ß-D-glucopyranoside (2a), (-)-glaberide I 7'-ethoxy-4-O-ß-D-glucopyranoside (2b), and (-)-isoeucommin A (3b), along with fifteen known analogs were isolated from the stems of Dendrobium 'Sonia'. These compounds were classified into ten pairs of enantiomers or diastereoisomers via chiral resolution, and their structures were determined based on extensive spectroscopic data. Their absolute configurations were determined by hydrolysis, comparison of experimental and calculated electronic circular dichroism (ECD) data, and single-crystal X-ray diffraction analysis. The isolates were evaluated for their ability to inhibit nitric oxide (NO) production in RAW264.7 cells. Among them, syringaresinol (5) exhibited prominent inhibition activity, with an IC50 value of 28.4 ± 3.0 µmol·L-1, and there was a slight difference between 5a, 5b and the racemic mixture 5.

Bioactive constituents from Clerodendrum trichotomum and their α-glucosidase inhibitory and PPAR-γ agonist activities.

Three new neoclerodane diterpenoids (1-3), two new steroids (4-5), one new monoterpene (6), one new derivative of benzaldehyde (7) and one new iridoid glycoside (8), along with 19 known phenolic compounds, were isolated from Clerodendrum trichotomum. Their structures were established by a combination of detailed spectroscopic analyses (1D and 2D NMR) and high resolution electrospray ionization mass spectroscopy (HRESIMS). The isolated compounds were screened on α-glucosidase inhibitory and the peroxisome proliferator-activated receptor gamma (PPAR-γ) agonist activities, and the results showed that three phenylethanoid glycosides, verbascoside (9), leucosceptoside a (10), and isoacteoside (13), and two flavonoids, apigenin (22) and luteolin (26) showed potent inhibitory effects against α-glucosidase, with IC50 values in the range from 15 to 700 µM. In addition, four flavonoids apigenin 7-O-ß-D-glucuronide (19), apigenin (22), luteolin (26), and quercetin (27) exhibited significant PPAR-γ agonistic activities with EC50 values in the range 2.3-24.9 µM.

The comparative experimental study of rehabilitation program decision for spinal cord injury based on electronic medical records.

Objective: Electronic medical records (EMRs) contain patients' medical and health information. The Utilization of EMRs for assisted diagnosis is of significant importance for the rehabilitation of spinal cord injury (SCI) patients. Therefore, this study proposes a decision-making model for rehabilitation programs of SCI patients based on EMRs. Methods: First, an Electronic Medical Records (EMR) dataset comprising 1252 Spinal Cord Injury (SCI) patients was constructed, and data preprocessing was completed. Second, the Random Forest (RF) feature extraction algorithm was utilized to select case features with high contribution levels. Then, to address the imbalance issue in EMRs, a multi-label learning framework based on the improved MLSMOTE was adopted. Finally, seven multi-label classification models were employed to predict patients' physical therapy (PT) prescriptions. Results: The proposed improved MLSMOTE multi-label learning framework can solve the problem of class imbalance. Compared with the other six models, the CC model has improved significantly in many metrics. Its hamming loss and ranking loss were 0.1388 and 0.2467, and precision, recall, and F1-score were 83.33 %, 81.20 %, and 79.82 % respectively. Conclusions: The improved MLSMOTE multi-label learning framework proposed in this study can make full use of the information in EMRs and effectively improve the decision-making accuracy of rehabilitation treatment programs.

Chlorogenic acid ameliorates non-proliferative diabetic retinopathy via alleviating retinal inflammation through targeting TNFR1 in retinal endothelial cells.

As a prominent complication of diabetes mellitus (DM) affecting microvasculature, diabetic retinopathy (DR) originates from blood-retinal barrier (BRB) damage. Natural polyphenolic compound chlorogenic acid (CGA) has already been reported to alleviate DR. This study delves into the concrete mechanism of the CGA-supplied protection against DR and elucidates its key target in retinal endothelial cells. DM in mice was induced using streptozotocin (STZ). CGA mitigated BRB dysfunction, leukocytes adhesion and the formation of acellular vessels in vivo. CGA suppressed retinal inflammation and the release of tumor necrosis factor-α (TNFα) by inhibiting nuclear factor kappa-B (NFκB). Furthermore, CGA reduced the TNFα-initiated adhesion of peripheral blood mononuclear cell (PBMC) to human retinal endothelial cell (HREC). CGA obviously decreased the TNFα-upregulated expression of vascular cell adhesion molecule-1 (VCAM1) and intercellular adhesion molecule-1 (ICAM1), and abrogated the TNFα-induced NFκB activation in HRECs. All these phenomena were reversed by overexpressing type 1 TNF receptor (TNFR1) in HRECs. The CGA-provided improvement on leukocytes adhesion and retinal inflammation was disappeared in mice injected with an endothelial-specific TNFR1 overexpression adeno-associated virus (AAV). CGA reduced the interaction between TNFα and TNFR1 through binding to TNFR1 in retinal endothelial cells. In summary, excepting reducing TNFα expression via inhibiting retinal inflammation, CGA also reduced the adhesion of leukocytes to retinal vessels through decreasing VCAM1 and ICAM1 expression via blocking the TNFα-initiated NFκB activation by targeting TNFR1 in retinal endothelial cells. All of those mitigated retinal inflammation, ultimately alleviating BRB breakdown in DR.

Characterization and protein engineering of a novel UDP-glycosyltransferase involved in pseudoginsenoside Rt5 biosynthesis from Panax japonicus.

As one of rare high-value ocotillol (OCT)-type ginsenosides, pseudoginsenoside Rt5 has been identified with significant pharmacological activities. UDP-glycosyltransferases (UGTs) play pivotal roles in catalyzing the transfer of a glycosyl moiety from a donor to an acceptor. In this study, the novel UGT, PjUGT10, was screened from the transcriptome database of Panax japonicus and identified with the enzymatic activity of transferring a glucosyl group on OCT to produce Rt5. The catalytic efficiency of PjUGT10 was further enhanced by employing site-directed mutation. Notably, the variant M7 exhibited a remarkable 6.16 × 103-fold increase in kcat/Km towards 20S,24R-ocotillol and a significant 2.02 × 103-fold increase to UDP-glucose, respectively. Moreover, molecular dynamics simulations illustrated a reduced distance between 20S,24R-ocotillol and the catalytic residue His15 or UDP-glucose, favoring conformation interactions between the enzyme and substrates. Subsequently, Rt5 was synthesized in an engineered Escherichia coli strain M7 coupled with a UDP-glucose synthetic system. This study not only shed light on the protein engineering that can enhance the catalytic activity of PjUGT10, but also established a whole-cell approach for the production of Rt5.

Shengmai San formula alleviates high-fat diet-induced obesity in mice through gut microbiota-derived bile acid promotion of M2 macrophage polarization and thermogenesis.

BACKGROUND: Shengmai San Formula (SMS) is a traditional Chinese medicine (TCM) that has been used to treat wasting-thirst regarded as diabetes mellitus, which occurs disproportionately in obese patients. Therefore, we investigated whether SMS could be used to treat obesity, and explored possible mechanisms by which it might improve glucose and fat metabolism. METHODS: To investigate the effects of SMS on a high-fat diet (HFD)-induced obesity (DIO) model, we studied glucose metabolism via glucose tolerance testing (GTT) and insulin tolerance testing (ITT). Browning of white adipose tissue (WAT) was evaluated using H&E staining, along with browning-related gene and protein expression. Changes in bile acid (BA) levels in serum, liver, ileum, and inguinal white adipose tissue were detected by Ultra performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). In addition, antimicrobial mixture (ABX) and fecal microbial transplantation (FMT) experiments were used to verify the role of gut flora in the effects produced by SMS on HFD-induced obesity model. RESULTS: SMS ameliorated diet-induced dyslipidemia in a dose-dependent manner and reduced glucose intolerance and insulin resistance in DIO mice, helping to restore energy metabolism homeostasis. SMS significantly altered the structure of intestinal microbiome composition, decreasing the abundance of Lactobacillus carrying bile salt hydrolase (BSH) enzymes and thereby increasing the level of conjugated BAs in the blood, ileum, and iWAT. Increased TCA content promoted the secretion of Slit3 from M2 macrophages in iWAT, which activates the protein kinase A/calmodulin-dependent protein kinase II (PKA/CaMKII) signaling pathway in sympathetic neurons via the roundabouts receptor 1(ROBO1). This pathway promotes the synthesis and release of norepinephrine (NE), inducing cyclic adenosine monophosphate (cAMP) release in adipose tissue that activates the cyclic adenosine monophosphate/protein kinase A/phosphorylated hormone-sensitive lipase (cAMP/PKA/pHSL) pathway and enhances WAT browning. ABX treatment eliminated SMS effects on glucose and lipid metabolism in DIO mice, whereas glucose and lipid metabolism in obese mice improved following SMS-FMT and increased the level of serum bile acids. CONCLUSION: SMS affects intestinal flora and bile acid composition in vivo and increased TCA promotes M2 macrophage polarization and Slit3 release in adipose tissue. This induces NE release and increases WAT browning in obese mice, which may be a mechanism by which SMS could be used to treat obesity.

Isotoosendanin inhibits triple-negative breast cancer metastasis by reducing mitochondrial fission and lamellipodia formation regulated by the Smad2/3-GOT2-MYH9 signaling axis.

Triple-negative breast cancer (TNBC) is incurable and prone to widespread metastasis. Therefore, identification of key targets for TNBC progression is urgently needed. Our previous study revealed that isotoosendanin (ITSN) reduced TNBC metastasis by targeting TGFßR1. ITSN is currently used as an effective chemical probe to further discover the key molecules involved in TNBC metastasis downstream of TGFßR1. The results showed that GOT2 was the gene downstream of Smad2/3 and that ITSN decreased GOT2 expression by abrogating the activation of the TGF-ß-Smad2/3 signaling pathway through directly binding to TGFßR1. GOT2 was highly expressed in TNBC, and its knockdown decreased TNBC metastasis. However, GOT2 overexpression reversed the inhibitory effect of ITSN on TNBC metastasis both in vitro and in vivo. GOT2 interacted with MYH9 and hindered its binding to the E3 ubiquitin ligase STUB1, thereby reducing MYH9 ubiquitination and degradation. Moreover, GOT2 also enhanced the translocation of MYH9 to mitochondria and thus induced DRP1 phosphorylation, thereby promoting mitochondrial fission and lamellipodia formation in TNBC cells. ITSN-mediated inhibition of mitochondrial fission and lamellipodia formation was associated with reduced GOT2 expression. In conclusion, ITSN prevented MYH9-regulated mitochondrial fission and lamellipodia formation in TNBC cells by enhancing MYH9 protein degradation through a reduction in GOT2 expression, thus contributing to its inhibition of TNBC metastasis.

Coupling the Isopentenol Utilization Pathway and Prenyltransferase for the Biosynthesis of Licoflavanone in Recombinant Escherichia coli.

Prenylflavonoids are promising candidates for food additives and functional foods due to their diverse biological activities and potential health benefits. However, natural prenylflavonoids are generally present in low abundance and are limited to specific plant species. Here, we report the biosynthesis of licoflavanone from naringenin and prenol by recombinant Escherichia coli. By investigating the activities of seven different sources of prenyltransferases overexpressed in E. coli toward various flavonoid substrates, the prenyltransferase AnaPT exhibits substrate preference when naringenin serves as the prenyl acceptor. Furthermore, licoflavanone production was successfully achieved by coupling the isopentenol utilization pathway and AnaPT in recombinant E. coli. In addition, the effects of fermentation temperatures, induction temperatures, naringenin concentrations, and substrate feeding strategies were investigated on the biosynthesis of licoflavanone in recombinant E. coli. Consequently, the recombinant E. coli strain capable of improved dimethylallyl diphosphate (DMAPP) supply and suitable for prenylflavonoid biosynthesis increased licoflavanone titers to 142.1 mg/L in a shake flask and to 537.8 mg/L in a 1.3 L fermentor, which is the highest yield for any prenylflavonoids reported to date. These strategies proposed in this study provide a reference for initiating the production of high-value prenylflavonoids.

On-site analysis and rapid identification of citrus herbs by miniature mass spectrometry and machine learning.

BACKGROUND: Natural medicines present a considerable analytical challenge due to their diverse botanical origins and complex multi-species composition. This inherent complexity complicates their rapid identification and analysis. Tangerine peel, a product of the Citrus species from the Rutaceae family, is widely used both as a culinary ingredient and in traditional Chinese medicine. It is classified into two primary types in China: Citri Reticulatae Pericarpium (CP) and Citri Reticulatae Pericarpium Viride (QP), differentiated by harvest time. A notable price disparity exists between CP and another variety, Citri reticulatae "Chachi" (GCP), with differences being based on the original variety. METHODS: This study introduces an innovative method using portable miniature mass spectrometry for swift on-site analysis of QP, CP, and GCP, requiring less than a minute per sample. And combined with machine learning to differentiate the three types on site, the method was used to try to distinguish GCP from different storage years. RESULTS: This novel method using portable miniature mass spectrometry for swift on-site analysis of tangerine peels enabled the characterization of 22 compounds in less than one minute per sample. The method simplifies sample processing and integrates machine learning to distinguish between the CP, QP, and GCP varieties. Moreover, a multiple-perceptron neural network model is further employed to specifically differentiate between CP and GCP, addressing the significant price gap between them. CONCLUSIONS: The entire analytical time of the method is about 1 minute, and samples can be analyzed on site, greatly reducing the cost of testing. Besides, this approach is versatile, operates independently of location and environmental conditions, and offers a valuable tool for assessing the quality of natural medicines.

Rapid analysis of bioactive compounds from citrus samples by direct analysis in real-time mass spectrometry combined with chemometrics.

Renowned for their nutritional benefits, citrus fruits are harvested at various stages in China for functional food production. This study introduces an innovative analytical method, DART-MS, enabling direct qualitative analysis of citrus samples without the need for preprocessing. Simultaneously, the combination of chemometrics can be applied to distinguish between three different citrus samples: Citri Reticulatae Pericarpium, Citri Reticulatae Pericarpium Viride, and Citri Reticulatae "Chachi". Notably, given the international regulatory concerns surrounding synephrine, a precise quantitative analysis method for synephrine was developed. The limit of detection (LOD) and the limit of quantification (LOQ) were 39 ng mL-1 and 156 ng mL-1, respectively. The recovery rates obtained varied from 98.46% to 100.71%. Furthermore, the intra-day and inter-day precision demonstrated robust consistency, with values spanning 5.0-6.1% and 5.03-6.08%, respectively, offering quicker results compared to those from HPLC-MS, promising a safer assessment of herbal and food products.

Changes in monthly surface area, water level, and storage of 194 lakes and reservoirs in the Yangtze River Basin during 1990-2021 using multisource remote sensing data.

Long-term, high spatiotemporal resolution of surface water area, water level, and storage changes in the Yangtze River Basin (YRB) has great scientific and practical importance for improving the management of water resources. Here, three distinct area estimations were first derived using the water classification enhancement method, automated water extraction method based on random forest, and the modified normalized difference water index. The optimized area data was determined by comparing against Sentinel-2 with the minimum root mean square error. A new area data was constructed with the optimized area as the primary data, while the remaining datasets were employed to fill in gaps. The elevation-area relationship was used to derive monthly water level. Changes in water storage were calculated by applying the pyramidal frustum formula from surface water area and water level data. Finally, a new comprehensive dataset of the monthly area, level, and storage changes in the 119 lakes and 75 reservoirs across the YRB with area larger than 10 km2 from 1990 to 2021 were first reconstructed. The spatiotemporal trends of surface water area/level/storage in lakes and reservoirs over 11 sub-basins of the YRB were quantified from 1990 to 2021, as well as before (1990-2003) and after (2003-2021) the construction of the Three Gorges Dam (TGD). During 1990-2021, there was a marked decrease in surface water area/level/storage in most of the YRB sub-basins, which contain 79 % of the lakes and 30 % of the reservoirs. After TGD was constructed, the surface water in lakes decreased by 10 %, while that of reservoirs remained consistent with the pre-construction. The surface water area/level/storage in the lower sub-basins of YRB exhibited a decline to an upward trend before and after the construction of TGD. This study provides a new comprehensive dataset for understanding the dynamic changes of water resource and climate change.

Borneol acts as an adjuvant agent to enhance the oral absorption of Panax notoginseng saponins in rats: Effect of optical configuration and compatibility ratios.

ETHNOPHARMACOLOGICAL RELEVANCE: Panax notoginseng saponins (PNS), as the main active component of Panax notoginseng, shows broad pharmacological effects but with low oral bioavailability. Borneol (BO) is commonly used as an adjuvant drug in the field of traditional Chinese medicine, which has been proven to facilitate the absorption of ginsenosides such as Rg1 and Rb1 in vivo. The presence of chiral carbons has resulted in three optical isomers of BO commercially available in the market, all of which are documented by national standards. AIM OF THE STUDY: This study aimed to investigate the role of BO in promoting the oral absorption of PNS from the perspective of optical configuration and compatibility ratios. MATERIALS AND METHODS: In this study, an ultra-performance liquid chromatography coupled with triple quadrupole-linear ion trap tandem mass spectrometry (UPLC-QTRAP-MS/MS) method was validated and applied to determine the concentrations of five main saponins in PNS in rat plasma. The kinetic characteristics of PNS were compared when co-administered with BO based on optical isomerism and different compatibility ratios. RESULTS: The results showed that BO promoted the exposure of PNS in rats. Three forms of BO, namely d-borneol (DB), l-borneol (LB), and synthetic borneol (SB), exhibited different promotion strengths. SB elevated PNS exposure in rats more than DB or LB. It is also interesting to note that under different compatibility ratios, SB can exert a strong promoting effect only when PNS and BO were combined in a 1:1 ratio (PNS 75 mg/kg; BO 75 mg/kg). As a pharmacokinetic booster, the dosage of BO is worthy of consideration and should follow the traditional medication principles of Chinese medicine. CONCLUSIONS: This study shed new light on the compatible use of PNS and BO from the perspective of "configuration-dose-influence" of BO. The results provide important basis for the clinical application and selection of BO.

A versatile economic strategy by HPLC-CAD for quantification of structurally diverse markers in quality control of Shengmai Formula from raw materials to preparations.

BACKGROUND: Shengmai Formula (SMF), a classic formula in treating Qi-Yin deficiency, is composed of Ginseng Radix et Rhizoma Rubra (GRR), Ophiopogon Radix (OR), and Schisandra chinensis Fructus (SC), and has been developed into various dosage forms including Shengmai Yin Oral Liquid (SMY), Shengmai Capsules (SMC), and Shengmai Injection (SMI). The pharmacological effects of compound Chinese medicine are attributed to the integration of multiple components. Yet the quality criteria of SMF are limited to monitoring schisandrol A or ginsenosides Rg1 and Re, but none for OR. Since the complexity of raw materials and preparations, establishing a economical and unified method for SMF is challenging. It is urgent to simultaneously quantify multiple components with different structures using a universal method for quality control of SMF. Charged aerosol detector (CAD) overcame the above shortcomings owing to its characteristics of high responsiveness, nondiscrimination, and low cost. PURPOSE: We aimed to establish a versatile analysis strategy using HPLC-CAD for simultaneously quantifying the structurally diverse markers in quality control of SMF from raw materials to preparations. METHOD: By optimizing the column, mobile phase, column temperature, flow rate, and CAD parameters, a HPLC-CAD method that integrated multi-component characterization, authenticity identification, transfer information of raw materials and quantitative determination of Shengmai preparations was established. RESULTS: In total 50 components from SMF were characterized (28 in GRR, 13 in SC, and 9 in OR). The differences in raw materials between species of SC and Schisandrae sphenantherae Fructus (SS), processing methods of Ginseng Radix (GR) and GRR, and locations of OR from Sichuan (ORS) and Zhejiang (ORZ) were compared. Fourteen components in 19 batches of SMY, SMC and SMI from different manufacturers were quantified, including 11 ginsenosides and 3 lignans. The multivariate statistical analysis results further suggested that Rb1, Rg1 and Ro were the main differences among Shengmai preparations. CONCLUSION: The established versatile analysis strategy based on HPLC-CAD was proven sensitive, simple, convenient, overcoming the discriminatory effect of UV detector, revealing the composition and transfer information of SMF and applicable for authentication of the ingredient herbs and improving the quality of Shengmai preparations.

Glechomenes A-G, diterpenoids with anti-inflammatory activities from the aerial part of Glechoma longituba.

Ten diterpenoids including six unreported abietane-type diterpenoids Glecholmenes A-F (1-6) and an undescribed labdane-type diterpenoid Glecholmene G (9), together with three known diterpenoids (7,8,10), were firstly isolated from the aerial part of G. longituba. Their structures were established mainly by nuclear magnetic resonance (NMR) and high-resolution electrospray ionization mass spectrometry (HR-ESI-MS) methods. Electronic circular dichroism (ECD) calculations and X-ray crystallographic analyses were used for the determination of their absolute configurations. The anti-inflammatory activity of all compounds was evaluated using the classical LPS-induced NO release model in RAW264.7 cells. Compound 2 displayed significant anti-inflammatory activities with IC50 values of 29.08 ± 1.40 µM (Aminoguanidine hydrochloride as the positive control, IC50 = 21.84 ± 0.48 µM).

Functional metabolomics characterizes the contribution of farnesoid X receptor in pyrrolizidine alkaloid-induced hepatic sinusoidal obstruction syndrome.

Consumption of herbal products containing pyrrolizidine alkaloids (PAs) is one of the major causes for hepatic sinusoidal obstruction syndrome (HSOS), a deadly liver disease. However, the crucial metabolic variation and biomarkers which can reflect these changes remain amphibious and thus to result in a lack of effective prevention, diagnosis and treatments against this disease. The aim of the study was to determine the impact of HSOS caused by PA exposure, and to translate metabolomics-derived biomarkers to the mechanism. In present study, cholic acid species (namely, cholic acid, taurine conjugated-cholic acid, and glycine conjugated-cholic acid) were identified as the candidate biomarkers (area under the ROC curve 0.968 [95% CI 0.908-0.994], sensitivity 83.87%, specificity 96.55%) for PA-HSOS using two independent cohorts of patients with PA-HSOS. The increased primary bile acid biosynthesis and decreased liver expression of farnesoid X receptor (FXR, which is known to inhibit bile acid biosynthesis in hepatocytes) were highlighted in PA-HSOS patients. Furtherly, a murine PA-HSOS model induced by senecionine (50 mg/kg, p.o.), a hepatotoxic PA, showed increased biosynthesis of cholic acid species via inhibition of hepatic FXR-SHP singling and treatment with the FXR agonist obeticholic acid restored the cholic acid species to the normal levels and protected mice from senecionine-induced HSOS. This work elucidates that increased levels of cholic acid species can serve as diagnostic biomarkers in PA-HSOS and targeting FXR may represent a therapeutic strategy for treating PA-HSOS in clinics.

Combinatorial metabolic engineering of Bacillus subtilis enables the efficient biosynthesis of isoquercitrin from quercetin.

BACKGROUND: Isoquercitrin (quercetin-3-O-ß-D-glucopyranoside) has exhibited promising therapeutic potentials as cardioprotective, anti-diabetic, anti-cancer, and anti-viral agents. However, its structural complexity and limited natural abundance make both bulk chemical synthesis and extraction from medical plants difficult. Microbial biotransformation through heterologous expression of glycosyltransferases offers a safe and sustainable route for its production. Despite several attempts reported in microbial hosts, the current production levels of isoquercitrin still lag behind industrial standards. RESULTS: Herein, the heterologous expression of glycosyltransferase UGT78D2 gene in Bacillus subtilis 168 and reconstruction of UDP-glucose (UDP-Glc) synthesis pathway led to the synthesis of isoquercitrin from quercetin with titers of 0.37 g/L and 0.42 g/L, respectively. Subsequently, the quercetin catabolism blocked by disruption of a quercetin dioxygenase, three ring-cleavage dioxygenases, and seven oxidoreductases increased the isoquercitrin titer to 1.64 g/L. And the hydrolysis of isoquercitrin was eliminated by three ß-glucosidase genes disruption, thereby affording 3.58 g/L isoquercitrin. Furthermore, UDP-Glc pool boosted by pgi (encoding glucose-6-phosphate isomerase) disruption increased the isoquercitrin titer to 10.6 g/L with the yield on quercetin of 72% and to 35.6 g/L with the yield on quercetin of 77.2% in a 1.3-L fermentor. CONCLUSION: The engineered B. subtilis strain developed here holds great potential for initiating the sustainable and large-scale industrial production of isoquercitrin. The strategies proposed in this study provides a reference to improve the production of other flavonoid glycosides by engineered B. subtilis cell factories.

NFKB2 mediates colorectal cancer cell immune escape and metastasis in a STAT2/PD­L1­dependent manner.

This study systematically analyzed the molecular mechanism and function of nuclear factor kappa B subunit 2 (NFKB2) in colorectal cancer (CRC) to investigate the potential of NFKB2 as a therapeutic target for CRC. Various experimental techniques, including RNA sequencing, proteome chip assays, and small molecule analysis, were used to obtain a deeper understanding of the regulation of NFKB2 in CRC. The results revealed that NFKB2 was upregulated in a significant proportion of patients with advanced hepatic metastasis of CRC. NFKB2 played an important role in promoting tumor growth through CD8+ T-cell exhaustion. Moreover, NFKB2 directly interacted with signal transducer and activator of transcription 2 (STAT2), leading to increased phosphorylation of STAT2 and the upregulation of programmed death ligand 1 (PD-L1). Applying a small molecule inhibitor of NFKB2 (Rg5) led to a reduction in PD-L1 expression and improved response to programmed death-1 blockade-based immunotherapy. In conclusion, the facilitated NFKB2-STAT2/PD-L1 axis may suppress immune surveillance in CRC and targeting NFKB2 may enhance the efficacy of immunotherapeutic strategies. Our results provide novel insights into the molecular mechanisms underlying the contribution of NFKB2 in CRC immune escape.