AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

The effect of Huanglian Jiedu Decoction on the intestinal flora of type 2 diabetes mellitus(T2DM) was investigated using 16S rRNA sequencing technology. Sixty rats were randomly divided into a normal group(10 rats) and a modeling group(50 rats). After one week of adaptive feeding, a high-fat diet + streptozotocin was given for modeling, and fasting blood glucose >16.7 mmol·L~(-1) was considered a sign of successful modeling. The modeling group was randomly divided into the model group, high-, medium-, and low-dose groups of Huanglian Jiedu Decoction, and metformin group. After seven days of intragastric treatment, the feces, colon, and pancreatic tissue of each group of rats were collected, and the pathological changes of the colon and pancreatic tissue of each group were observed by hematoxylin-eosin staining. The changes in the intestinal flora structure of each group were observed by the 16S rRNA sequencing method. The results showed that compared with the model group, the high-, medium-, and low-dose of Huanglian Jiedu Decoction reduced fasting blood glucose levels to different degrees and showed no significant changes in body weight. The number of islet cells increased, and intestinal mucosal damage attenuated. Alpha diversity analysis revealed that Huanglian Jiedu Decoction reduced the abundance and diversity of intestinal flora in rats with T2DM; at the phylum level, low-and mediam-dose of Huanglian Jiedu Decoction reduced the abundance of Bacteroidota, Proteobacteria, and Desulfobacterota and increased the abundance of Firmicute and Bacteroidota/Firmicutes, while the high-dose of Huanglian Jiedu Decoction increased the relative abundance of Proteobacteria and Bacteroidota/Firmicutes ratio, and decreaseal the relative; abundance of Firmicute; at the genus level, Huanglian Jiedu Decoction increased the relative abundance of Allobaculum, Blautia, and Lactobacillus; LEfse analysis revealed that the biomarker of low-and medium-dose groups of Huanglian Jiedu Decoction was Lactobacillus, and the structure of the intestinal flora of the low-dose group of Huanglian Jiedu Decoction was highly similar to that of the metformin group. PICRUSt2 function prediction revealed that Huanglian Jiedu Decoction mainly affected carbohydrate and amino acid metabolic pathways. It suggested that Huanglian Jiedu Decoction could reduce fasting blood glucose and increase the number of islet cells in rats with T2DM, and its mechanism of action may be related to increasing the abundance of short-chain fatty acid-producing strains and Lactobacillus and affecting carbohydrate and amino acid metabolic pathways.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Diabetes Mellitus, Type 2/metabolism* ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Rats, Sprague-Dawley ; Humans ; Bacteria/drug effects* ; Blood Glucose/metabolism*

Objective:To construct and evaluate a training program for health management specialist nurses.Methods:Mainly qualitative analysis, The training system of health management specialist nurses was preliminarily drawn up based on literature review and semi-structured interview. The Delphi expert consultation method was used to conduct a two-round expert letter inquiry with 17 experts in the professions such as health management medicine, health management nursing, nursing management, and nursing education; and the analytic hierarchy process was applied to determine the weights of the indicators.Results:The effective recall rates of the questionnaires for the 2 rounds of expert consultation was 94.44%(17/18) and 100%(17/17), with expert authority coefficients of 0.90 and 0.92 and Kendall harmony coefficients of 0.207 and 0.249, respectively (all P<0.001). The training system of health management specialist nurses included 4 parts: training objective, training content, training management, training assessment and evaluation. There were 8 indicators in the training objective part. There were 5 first-level indicators, 15 second-level and 67 third-level indicators in the training content part. There were 5 first-level indicators, 12 second-level indicators in the training management part. There were 3 first-level indicators, 10 second-level indicators in the training assessment and evaluation part. Conclusion:The training program for specialized nurses in health management developed in this study demonstrates high levels of expert enthusiasm, authority, and consensus, indicating its feasibility.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Objective:To construct and evaluate a training program for health management specialist nurses.Methods:Mainly qualitative analysis, The training system of health management specialist nurses was preliminarily drawn up based on literature review and semi-structured interview. The Delphi expert consultation method was used to conduct a two-round expert letter inquiry with 17 experts in the professions such as health management medicine, health management nursing, nursing management, and nursing education; and the analytic hierarchy process was applied to determine the weights of the indicators.Results:The effective recall rates of the questionnaires for the 2 rounds of expert consultation was 94.44%(17/18) and 100%(17/17), with expert authority coefficients of 0.90 and 0.92 and Kendall harmony coefficients of 0.207 and 0.249, respectively (all P<0.001). The training system of health management specialist nurses included 4 parts: training objective, training content, training management, training assessment and evaluation. There were 8 indicators in the training objective part. There were 5 first-level indicators, 15 second-level and 67 third-level indicators in the training content part. There were 5 first-level indicators, 12 second-level indicators in the training management part. There were 3 first-level indicators, 10 second-level indicators in the training assessment and evaluation part. Conclusion:The training program for specialized nurses in health management developed in this study demonstrates high levels of expert enthusiasm, authority, and consensus, indicating its feasibility.

Sucrose synthase plays a crucial role in the plant sugar metabolism pathway by catalyzing the production of uridine diphosphate (UDP)-glucose, which serves as a bioactive glycosyl donor for various metabolic processes. In this study, a sucrose synthase gene named CtSus was cloned from Cistanche tubulosa, a traditional Chinese medicine known for its rich content of diverse glycosides, based on transcriptome analysis results. The open reading frame of CtSus was 2 418 bp long encoding 805 amino acids. Sequence analysis revealed conserved domains associated with the plant sucrose synthase family at both the N-terminal and C-terminal regions of CtSus protein. Phylogenetic analysis demonstrated that CtSus shares a close evolutionary relationship with sucrose synthases from other plants within the same order. Functional identification of CtSus was performed through whole-cell catalysis coupling with UGT71BD1, a characterized glycosyltransferase enzyme. The results showed that the introduction of CtSus significantly enhanced the conversion rate of glycosylation catalyzed by UGT71BD1. The soluble expression of CtSus in Escherichia coli was further achieved using the pCold^TM TF expression vector. In vitro enzymatic assay indicated the activity of CtSus to catalyze the formation of UDP-glucose in the presence of sucrose and UDP. Real-time quantitative-polymerase chain reaction results showed that the expression patterns of CtSus gene in different parts of C. tubulosa and the suspension cell cultures of C. tubulosa under drought stress correlated with the accumulation patterns observed for phenylethanol glycosides, respectively. Furthermore, key amino acids and their interactions between enzyme and substrate were explored based on protein structure prediction and molecular docking results. Overall, our findings identify a sucrose synthase CtSus responsible for the supply of the active glycosyl donor UDP-glucose during the biosynthesis of glycoside products in C. tubulosa and have also provided a gene element that can be utilized in engineering strain construction for glycoside products production.

Objective To investigate the correlation between qi stagnation and phlegm stasis syndrome in the young and middle-aged population and the detection rate of thyroid nodules.Methods The clinical data of those who participated in the questionnaire survey and took thyroid ultrasonography at Dongguan Hospital of Guangzhou University of Chinese Medicine from June 1 to December 1,2023 were collected.The clinical information covered age,gender,family history,body mass index(BMI),related symptoms,and ultrasonographic findings.And then the related data were statistically analyzed.Results(1)The clinical data of 196 cases were collected,of which 65 cases(33.16%)suffered from thyroid nodules,50 cases(25.51%)were differentiated as qi stagnation and phlegm stasis syndrome,53 cases(27.04%)had qi depression constitution of traditional Chinese medicine(TCM),55 cases(28.06%)had blood stasis constitution,and 48 cases(24.49%)had phlegm-dampness constitution.(2)The results of univariate analysis showed that the relevant factors for thyroid nodules included female,family history,qi stagnation and phlegm stasis syndrome,qi depression constitution,blood stasis constitution,phlegm-dampness constitution,dizziness and headache,neck stiffness,swallowing discomfort,lump on the surface of the body,dysmenorrhea and amenorrhea,tightness in the chest,distending pain in hypochondrium,depressed in spirits,emotional vulnerability,distending pain in breast,gloomy complexion,darkish lips,dark circles around the eyes,heaviness of the body,eyelid edema,and profuse sputum,and the differences were all statistically significant(P＜0.05 or P＜0.01).(3)Multivariate Logistic regression analysis was performed on the basis of univariate analysis,and the results showed that qi stagnation and phlegm stasis syndrome(OR:4.03,95%CI:1.85-8.77),phlegm-dampness constitution(OR:4.68,95%CI:2.06-10.63),and lump on the surface of the body(OR:2.97,95%CI:1.11-7.95)were the influencing factors for thyroid nodules.(4)A prediction model for detecting thyroid nodules was constructed:logit(P)=-1.607+1.39×qi stagnation and phlegm stasis syndrome(0 expressing absence,1 expressing presence)+1.54×phlegm-dampness constitution(0 expressing absence,1 expressing presence)+1.09×lump on the surface of the body(0 expressing absence,1 expressing presence).The model was evaluated by using the receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was 0.75(95%CI:0.67-0.83,P＜0.001).Conclusion In the young and middle-aged population,qi stagnation and phlegm stasis are the risk factors for the detectable rate of thyroid nodules.The early identification,risk prediction and timely intervention for the population with qi stagnation and phlegm stasis will be helpful for the prevention and treatment of thyroid nodules.

In this study, we investigated the anti-osteoporotic activity and mechanism of action of extract of Panax quiquefolium L. based on zebrafish model combined with metabolomics technology. A zebrafish model of prednisolone-induced osteoporosis was used to compare the anti-osteoporotic activity of Panax quiquefolium L., and the expression of osteoblast-associated genes and osteoclast-associated genes in zebrafish was detected by quantitative real-time PCR (qRT-PCR), using bone fluorescence area and fluorescence density as evaluation indexes. Metabolomics based on ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to explore the change patterns of biomarkers and the metabolic pathways affected. The results showed that the 50% ethanol extracts of Panax quiquefolium L. from Jilin, Canada, Wenden and the United States can significantly improve the bone fluorescence area of zebrafish compared with model group. Furthermore, four sources 50% ethanol extracts of Panax quiquefolium L. except United States also can significantly improve the bone fluorescence density of zebrafish. In addition, PCR showed that extract of Panax quiquefolium L. can significantly up-regulated the expression of vitamin D receptor b (vdrb), collagen type I α2 (col1a2) and cysteine-rich acidic secreted protein (sparc) genes, and down-regulated the expression of matrix metalloproteinase 9 (mmp9), anti-tartrase acid phosphatase (trap) and cathepsin K (ctsk) genes. Metabolomic analysis identified 24 key differential metabolites. Furthermore, pathway analysis showed that Panax quiquefolium L. could regulate the levels of 10 key biomarkers by participating in purine metabolism, tricarboxylic acid cycle and pentose phosphate metabolism and improve the osteoporosis status of zebrafish. This study preliminically revealed the anti-osteoporosis mechanism of 50% ethanol extract from Panax quiquefolium L. through multi-component, multi-target and multi-pathway and also provides theoretical basis for clinical development and utilization of anti-osteoporosis products of Panax quiquefolium L. This experiment was approved by the Experimental Animal Welfare Ethics Committee of the Institute of Biology, Shandong Academy of Sciences (approval number: SWS20181002).

Dihydroflavonol 4-reductase (DFR) plays an essential role in the biosynthesis of anthocyanin and regulation of plant flower color. Based on the transcriptome data of Cistanche tubulosa (Schenk) Wight, a full-length cDNA sequence of CtDFR gene was cloned by reverse transcription-polymerase chain reaction (RT-PCR). CtDFR contains an open reading frame (ORF) of 1 263 bp which encodes 420 amino acids with a predicted molecular weight of 47.5 kDa. The sequence analysis showed that CtDFR contains a nicotinamide adenine dinucleotide phosphate (NADPH) binding domain and a specific substrate binding domain. The expression analysis indicated that CtDFR was highly expressed in red and purple flowers, and the relative expression levels were 4.04 and 19.37 times higher than those of white flowers, respectively. The recombinant CtDFR protein was expressed in E.coli BL21 (DE3) using vector pET-28a-CtDFR and was purified. In vitro enzyme activity analysis, CtDFR could reduce three types of dihydroflavonols including dihydrokaempferol, dihydroquercetin, and dihydromyricetin to leucopelargonidin, leucocyanidin and leucodelphinidin. Subcellular localization analysis showed that CtDFR was mainly localized in the cytoplasm. These results demonstrate that CtDFR plays an important role in regulation of flower color in C. tubulosa and make a valuable contribution for the further investigation on the regulation mechanism of C. tubulosa (Schenk) Wight flower color.