Objective To comparatively observe the value of 131I whole-body scanning(WBS)and 131I-SPECT/CT for evaluating residual thyroid tissue,lymph node and distant metastasis,as well as risk of recurrence of differentiated thyroid cancer(DTC)after surgical resection and initial radioactive iodine(RAI)treatment.Methods Totally 367 DTC patients who underwent initial RAI treatment after surgical resection and then 131I-WBS and 131I SPECT/CT scanning were retrospectively collected.131I-WBS and 131I SPECT/CT were compared for identifying residual thyroid,lymph node and distant metastases.According to follow-up results,the risk of DTC recurrence was evaluated based on 131I-WBS and 131I-SPECT/CT,respectively.Results Residual thyroid was detected in 353 cases and suspected in 3 cases with 131 I-WBS,which was diagnosed in 349 cases with 131I-SPECT/CT,and no significant difference was found between 2 methods(P=0.289).131I-WBS detected 36 cases with and suspected 67 cases with lymph node metastases,312 without distant metastases,while 131I-SPECT/CT diagnosed lymph node metastases in 52 cases;131I-WBS detected 20 cases with and suspected 35 cases with distant metastases,while 131I-SPECT/CT diagnosed 60 cases with distant metastases but could not diagnose in 3 cases,304 without distant metastases.The detection rate of 131I-SPECT/CT for lymph node and distant metastasis were both higher than that of 131I-WBS(P=0.018,P＜0.001).During follow-up period,there were 94 cases with low risk,155 with medium risk and 118 with high risk of DTC recurrence according to 131I-SPECT/CT,while 116 cases of low risk,137 of medium risk and 114 of high risk based on 131I-SPECT/CT,and the evaluating results were different between 2 methods in 40 cases(40/367,10.90％).Conclusion Compared with 131I-WBS,131I-SPECT/CT had better clinical value for evaluating lymph node and distant metastases and assessing recurrence risk of DTC after initial RAI treatment.

Objective To comparatively observe the value of 131I whole-body scanning(WBS)and 131I-SPECT/CT for evaluating residual thyroid tissue,lymph node and distant metastasis,as well as risk of recurrence of differentiated thyroid cancer(DTC)after surgical resection and initial radioactive iodine(RAI)treatment.Methods Totally 367 DTC patients who underwent initial RAI treatment after surgical resection and then 131I-WBS and 131I SPECT/CT scanning were retrospectively collected.131I-WBS and 131I SPECT/CT were compared for identifying residual thyroid,lymph node and distant metastases.According to follow-up results,the risk of DTC recurrence was evaluated based on 131I-WBS and 131I-SPECT/CT,respectively.Results Residual thyroid was detected in 353 cases and suspected in 3 cases with 131 I-WBS,which was diagnosed in 349 cases with 131I-SPECT/CT,and no significant difference was found between 2 methods(P=0.289).131I-WBS detected 36 cases with and suspected 67 cases with lymph node metastases,312 without distant metastases,while 131I-SPECT/CT diagnosed lymph node metastases in 52 cases;131I-WBS detected 20 cases with and suspected 35 cases with distant metastases,while 131I-SPECT/CT diagnosed 60 cases with distant metastases but could not diagnose in 3 cases,304 without distant metastases.The detection rate of 131I-SPECT/CT for lymph node and distant metastasis were both higher than that of 131I-WBS(P=0.018,P＜0.001).During follow-up period,there were 94 cases with low risk,155 with medium risk and 118 with high risk of DTC recurrence according to 131I-SPECT/CT,while 116 cases of low risk,137 of medium risk and 114 of high risk based on 131I-SPECT/CT,and the evaluating results were different between 2 methods in 40 cases(40/367,10.90％).Conclusion Compared with 131I-WBS,131I-SPECT/CT had better clinical value for evaluating lymph node and distant metastases and assessing recurrence risk of DTC after initial RAI treatment.

Dipsaci Radix is a commonly used Chinese herbal medicine in China, with triterpenoid saponins as the main active components. β-Amyrin synthase, a member of the oxidosqualene cyclase superfamily, plays a crucial role in the biosynthesis of oleanane-type triterpenoid saponins. Asperosaponin Ⅵ is an oleanane-type triterpenoid saponin. To explore the β-amyrin synthase genes involved in the biosynthesis of asperosaponin Ⅵ in Dipsacus asper, this study screened the candidate genes from the transcriptome data of D. asper. Two β-amyrin synthase genes, Da OSC1 and Da OSC2, were identified by phylogenetic analysis and correlation analysis. The coding sequences of Da OSC1 and Da OSC2 were 2 286 bp and 2 295 bp in length, encoding 761 and 764 amino acids,respectively. Multiple sequence alignments showed that Da OSC1 and Da OSC2 had three conserved motifs( DCTAE, QW, and MWCYCR) unique to the oxidosqualene cyclase family. Real-time quantitative PCR results showed that Da OSC1 and Da OSC2 had the highest expression levels in the roots. Compared with normal growth conditions, the low-temperature treatment significantly upregulated the expression of Da OSC1 and Da OSC2. Agrobacterium-mediated transient expression of Da OSC1 and Da OSC2 in Nicotiana benthamiana resulted in the production of β-amyrin, which suggested that Da OSC1 and Da OSC2 were able to catalyze the synthesis of β-amyrin. This study clarified the catalytic functions of two β-amyrin synthases in D. asper, analyzed their expression patterns in different tissue and at low temperatures. The findings provide a foundation for further studying the biosynthetic pathway and regulatory mechanism of asperosaponin Ⅵ in D. asper.
Intramolecular Transferases/chemistry* ; Phylogeny ; Plant Proteins/chemistry* ; Gene Expression Regulation, Plant ; Dipsacaceae/classification* ; Saponins/metabolism* ; Oleanolic Acid/metabolism*

This study aims to investigate the potential effect of the water extract of fresh Rehmanniae Radix on hypercholesterolemia in mice that was induced by a high-fat and high-cholesterol diet and explore its possible mechanism from bile acid reabsorption. Male C57BL/6 mice were randomly assigned into the following groups: control, model, low-and high-dose(4 and 8 g·kg~(-1), respectively) fresh Rehmanniae Radix, and positive drug(simvastatin, 0.05 g·kg~(-1)). Other groups except the control group were fed with a high-fat and high-cholesterol diet for 6 consecutive weeks to induce hypercholesterolemia. From the 6th week, mice were administrated with corresponding drugs daily via gavage for additional 6 weeks, while continuing to be fed with a high-fat and high-cholesterol diet. Serum levels of total cholesterol(TC), triglycerides(TG), low density lipoprotein-cholesterol(LDL-c), high density lipoprotein-cholesterol(HDL-c), and total bile acid(TBA), as well as liver TC and TG levels and fecal TBA level, were determined by commercial assay kits. Hematoxylin-eosin(HE) staining, oil red O staining, and transmission electron microscopy were performed to observe the pathological changes in the liver. Three livers samples were randomly selected from each of the control, model, and high-dose fresh Rehmanniae Radix groups for high-throughput transcriptome sequencing. Differentially expressed genes were mined and KEGG pathway enrichment analysis was performed to predict the key pathways and target genes of the water extract of fresh Rehmanniae Radix in the treatment of hypercholesterolemia. RT-qPCR was employed to measure the mRNA levels of cholesterol 7α-hydroxylase(CYP7A1) and cholesterol 27α-hydroxylase(CYP27A1) in the liver. Western blot was employed to determine the protein levels of CYP7A1 and CYP27A1 in the liver as well as farnesoid X receptor(FXR), apical sodium-dependent bile acid transporter(ASBT), and ileum bile acid-binding protein(I-BABP) in the ileum. The results showed that the water extract of fresh Rehmanniae Radix significantly lowered the levels of TC and TG in the serum and liver, as well as the level of LDL-c in the serum. Conversely, it elevated the level of HDL-c in the serum and TBA in feces. No significant difference was observed in the level of TBA in the serum among groups. HE staining, oil red O staining, and transmission electron microscopy showed that the water extract reduced the accumulation of lipid droplets in the liver. Further mechanism studies revealed that the water extract of fresh Rehmanniae Radix significantly down-regulated the protein levels of FXR and bile acid reabsorption-related proteins ASBT and I-BABP. Additionally, it enhanced CYP7A1 and CYP27A1, the key enzymes involved in bile acid synthesis. Therefore, it is hypothesized that the water extract of fresh Rehmanniae Radix may exert an anti-hypercholesterolemic effect by regulating FXR/ASBT/I-BABP signaling, inhibiting bile acid reabsorption, and increasing bile acid excretion, thus facilitating the conversion of cholesterol to bile acids.
Animals ; Male ; Bile Acids and Salts/metabolism* ; Mice, Inbred C57BL ; Mice ; Diet, High-Fat/adverse effects* ; Cholesterol/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Hypercholesterolemia/genetics* ; Receptors, Cytoplasmic and Nuclear/genetics* ; Rehmannia/chemistry* ; Liver/drug effects* ; Humans ; Cholesterol 7-alpha-Hydroxylase/genetics* ; Plant Extracts

Neuroscience,a cutting-edge field in interdisciplinary research,consistently draws considerable research interest,of which quantitatively probing the neurochemical dynamics is essential for brain science research.In vivoelectrochemical analysis,featuring with high sensitivity,high spatiotemporal resolution,free from transfection,and designable electrode/solution interfaces,provides important tools for in vivo neurochemicals sensing.Fast scan cyclic voltammetry combined with microelectrodes can not only enable precise detection of dopamine but also is compatible with existing neurosurgical equipment.This offers new opportunities for the clinical application of in vivo electrochemical analysis and paves new avenues for the diagnosis and treatment of neurological diseases.This review summarized recent progress of in vivo electrochemical techniques for brain neurochemistry and addressed key clinical challenges and their potential solutions.

Near infrared spectroscopy(NIRS)analysis technology has become an important process analysis tool in industrial and agricultural production,and has been widely used for qualitative and quantitative analysis in the fields of tobacco,agriculture,and pharmaceuticals.To address issues such as poor generalization ability and low prediction accuracy in NIRS modeling,a two-dimensional convolutional neural network(2DCNN)quantitative analysis model based on competitive adaptive reweighted sampling(CARS)and Gramian angular difference field(GADF)(CARS-GADF-2DCNN)was proposed.CARS-GADF-2DCNN used the CARS method to select an optimal wavelength set from the full spectrum,then employed GADF to encode the selection results into two-dimensional images,and finally used 2DCNN for prediction analysis.The 2DCNN model consisted of convolutional layers,parallel convolution modules,flattening layer,and fully connected layers.Simulation experiments were conducted on three public near-infrared(NIR)spectral datasets encompassing soil,tablet,and grain datasets to evaluate the CARS-GADF-2DCNN model.The results demonstrated that,compared to the one-dimensional convolutional neural network(1DCNN),the GADF-2DCNN model achieved 16.74％,23.40％,and 7.13％improvement in prediction accuracy for the soil,tablet,and grain datasets,respectively.Compared to GADF-2DCNN,VCPA-GADF-2DCNN,and IRIV-GADF-2DCNN models,the CARS-GADF-2DCNN model further improved prediction accuracy.For the soil dataset,prediction accuracy improved by 39.00％,30.78％and 4.13％;for the tablet dataset,the improvements were 9.52％,6.94％and 2.56％;for the grain dataset,the improvements were 20.57％,9.85％and 15.66％.In conclusion,CARS-GADF-2DCNN effectively selected the optimal wavelength subset from near infrared spectra,and revealed the latent features between different wavelengths.CARS-GADF-2DCNN addresses the issues of high complexity in prediction models and low prediction accuracy in near infrared spectral modeling,and could be effectively applied to near infrared spectral prediction analysis of different substances.

Objective:To investigate the safety of early antiplatelet therapy for non-cardioembolic mild stroke patients with thrombocytopenia.Methods:Data of acute ischemic stroke patients with baseline National Institutes of Health Stroke Scale(NIHSS)score≤3 and a platelet count<100×109/L were obtained from a multicenter register.Those who required anticoagulation or had other contraindications to antiplatelet therapy were excluded.Short-term safety outcomes were in-hospital bleeding events,while the long-term safety outcome was a 1-year all-cause death.The short-term neurological outcomes were evaluated by modified Rankin scale(mRS)score at discharge.Results:A total of 1868 non-cardioembolic mild stroke patients with thrombocytopenia were enrolled.Multivariate regression analyses showed that mono-antiplatelet therapy significantly increased the proportion of mRS score of 0-1 at discharge(OR=1.657,95%CI:1.253-2.192,P<0.01)and did not increase the risk of intracranial hemorrhage(OR=2.359,95%CI:0.301-18.503,P>0.05),compared with those without antiplatelet therapy.However,dual-antiplatelet therapy did not bring more neurological benefits(OR=0.923,95%CI:0.690-1.234,P>0.05),but increased the risk of gastrointestinal bleeding(OR= 2.837,95%CI:1.311-6.136,P<0.01)compared with those with mono-antiplatelet therapy.For patients with platelet counts≤75×109/L and>90×109/L,antiplatelet therapy significantly improved neurological functional outcomes(both P<0.05).For those with platelet counts(>75-90)×109/L,antiplatelet therapy resulted in a significant improvement of 1-year survival(P<0.05).For patients even with concurrent coagulation abnormalities,mono-antiplatelet therapy did not increase the risk of various types of bleeding(all P>0.05)but improved neurological functional outcomes(all P<0.01).There was no significant difference in the occurrence of bleeding events,1-year all-cause mortality risk,and neurological functional outcomes between aspirin and clopidogrel(all P>0.05).Conclusions:For non-cardioembolic mild stroke patients with thrombocytopenia,antiplatelet therapy remains a reasonable choice.Mono-antiplatelet therapy has the same efficiency as dual-antiplatelet therapy in neurological outcome improvement with lower risk of gastrointestinal bleeding.

Objective To investigate the effects of Chaihuang Yishen Granules on renal fibrosis in unilateral ureteral obstruction(UUO)mice and its underlying mechanisms.Methods Twenty-four 8-week-old male C57BL/6 mice were randomly divided into control group,model group,and low and high dose groups of Chaihuang Yishen Granules(6 in each group).In control group,only right kidney ureter was exposed and dissected.In model group,the UUO animal model was established by UUO.In low and high dose groups,mice were administered intragastrically at doses of 3.8 and 7.6 g/kg of Chaihuang Yishen Granules respectively,following the model group's method to establish the UUO model.After 7 days,the mice were euthanized and renal samples were collected.HE and Masson staining were used to observe pathological changes and fibrosis degree of the kidneys in each group,Sirius red staining was used to observe collagen deposition.The expression levels of α-smooth muscle actin(α-SMA),fibronectin(FN),type Ⅰ collagen(Col-Ⅰ),glycogen synthase kinase 3β(GSK-3β),and β-catenin related proteins were detected using Western blotting.Changes in A33 and GSK-3β,β-catenin mRNA levels were measured by RT-PCR.Additionally,a normal transformed C3H mouse kidney-1(TCMK1)was used as control(normal group);an in vitro fibrosis model was established using TCMK1 stimulated with Transforming Growth Factor-β(TGF-β);and an in vitro drug model was established using TCMK1 treated with serum containing Chaihuang Yishen Granules.A33 was overexpressed in TCMK1 cells using a transfection with an A33 overexpression plasmid,and changes in fibrosis-related indicators and the expression of A33 and GSK-3β,β-catenin mRNA were observed.Results RT-PCR results showed that,compared with control group,A33 level was significantly increased in model group,while it was significantly reduced in both low and high dose groups of Chaihuang Yishen Granules(P＜0.05).Western blotting showed that the expression levels of fibrosis-related factors such as α-SMA,FN,Col-Ⅰ in model group were significantly higher than those in control group(P＜0.05);while compared with model group,the expression levels of α-SMA,FN,Col-Ⅰ in low and high dose groups of Chaihuang Yishen Granules were significantly lower(P＜0.05).HE,Masson,immunohistochemical staining results showed that model group had severe kidney structural damage,significant increase in collagen deposition,and significantly higher expression levels of GSK-3β and β-catenin proteins compared with those in control group(P＜0.01).In contrast,low and high dose groups of Chaihuang Yishen Granules had good kidney structure,significant improvement in kidney damage and fibrosis,and significantly lower expression levels of GSK-3β and β-catenin proteins compared with those in model group(P＜0.05).In vitro experiment results confirmed that,compared with normal group,A33 overexpression promoted the upregulation of fibrosis-related factors in TCMK1 cells,significantly increase the expression of downstream target genes GSK-3β and β-catenin mRNA in the Wnt/β-catenin signaling pathway(P＜0.05),and A33 overexpression reversed the cellular fibrosis changes downregulated by the serum containing Chaihuang Yishen Granules(P＜0.01).Conclusion Chaihuang Yishen Granules significantly improve renal fibrosis in UUO mice by downregulating the A33/Wnt/β-catenin signaling pathway,suggesting that A33 may be a potential therapeutic target for renal fibrosis.

This study investigated the epidemiological and genotypic characteristics of group A rotavirus(RVA)in children under 5 years of age with diarrhea at a viral diarrhea surveillance sentinel hospital in Guangdong Province from 2021 to 2022,to provide a basis for RVA prevention and control.A total of 1 858 fecal samples from children under 5 years of age with diarrhea in 2021-2022 were collected.Rotavirus antigen was detected with ELISA,and positive samples were further sequenced and categorized.Among the 1 858 samples,156 were RVA positive.The positivity rates in boys and girls were 8.76％and 7.87％,respectively.Significant differences were observed in the detection rates of RVA infection among age groups.The rate of RVA infection increased gradually from December to April of the following year.In 2021,the main endemic strains of RVA in the Guangdong region were of the G9P[8]subtype,and the rare G8P[8]subtype increased in China.In 2022,the G8P[8]subtype surpassed the G9P[8]subtype for the first time.In cases of diarrhea in infants younger than 5 years in Guangdong Province from 2021 to 2022,the RVA genotypes were diverse,the G9P[8]genotype significantly decreased,and the G8P[8]subtype became a dominant genotype.Continuous RVA genotype monitoring remains necessary to assess the risk of RVA-related disea-ses.

Near infrared spectroscopy(NIRS)has emerged as an indispensable analytical technology for quality monitoring in industrial and agricultural production.It is widely used in quantitative analysis in areas such as food,agriculture and medicine.To meet the requirements of industrial and agricultural production,it is particularly important to develop a NIRS quantitative analysis model that can predict the multicomponent of different samples.In this study,the multicomponent quantitative analysis model of NIRS based on convolution neural network(MulCoSpecNet)was proposed.MulCoSpecNet was composed of an encoding and decoding module,an expert module,a gate module,a multicomponent quantitative prediction module,and a hyperparameter optimizer.The spectral noise and random errors were mitigated,and the signal-to-noise ratio was enhanced through up-sampling and down-sampling in the encoding and decoding module.Diverse weightings were employed by the expert module and gate module to construct distinct sub-spectra.The model prediction accuracy and generalization ability were enhanced by the multicomponent quantitative prediction module,which employed convolutional and pooling operations.The hyperparameters in the hyperparameter space were synchronously optimized by the hyperparameter optimizer.By taking public NIRS datasets of grain and corn as examples,the prediction results of MulCoSpecNet were compared with partial least squares(PLS),extreme learning machine(ELM),support vector regression(SVM)and back propagation neural network(BP).The results showed that compared to PLS,the prediction accuracy of MulCoSpecNet to grain and corn were increased by 25.5%?45.2%and 10.0%?35.7%,respectively.Compared to ELM,the prediction accuracy of MulCoSpecNet were increased by 17.8%?38.6%and 18.2%?37.2%,respectively.Compared to SVM,the prediction accuracy of MulCoSpecNet were increased by 33.6%?47.0%and 31.3%?50.7%,respectively.Compared to BP,the prediction accuracy of MulCoSpecNet were increased by 2.0%?58.5%and 29.6%?48.6%,respectively.The issues of low prediction accuracy and poor generalization ability were effectively solved by the MulCoSpecNet,which was a NIRS multicomponent prediction model based on convolutional neural network.It provided a theoretical foundation for establishing non-destructive and high-precision NIRS multicomponent quantitative analysis model.