Ischemic stroke (IS) is a globally life-threatening disease. Presently, few therapeutic medicines are available for treating IS, and rt-PA is the only drug approved by the US Food and Drug Administration (FDA) in the US. In fact, many agents showing excellent neuroprotection but no blood flow-improving activity in animals have not achieved ideal clinical efficacy, while thrombolytic drugs only improving blood flow without neuroprotection have limited their wider application. To address these challenges and meet the huge unmet clinical need, we have designed and identified a novel compound AAPB with dual effects of neuroprotection and cerebral blood flow improvement. AAPB significantly reduced cerebral infarction and neural function deficit in tMCAO rats, pMCAO rats, and IS rhesus monkeys, as well as displayed exceptional safety profiles and excellent pharmacokinetic properties in rats and dogs. AAPB has now entered phase I of clinical trials fighting IS in China.

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OBJECTIVE To analyze the chemical constituents of Heihuang Chizhu Granules and the blood composition of rats af-ter administration by UPLC-Q-TOF-MS/MS.METHODS A Waters ACQUITY UPLC HSS T3 column(3 mm×100 mm,1.8 μm)was eluted with acetonitrile-0.1%formic acid as mobile phase,and the data were collected in electrospray ion source positive and neg-ative ion mode and then identified with the reference retention time,precise molecular weight,secondary fragment ions,and references to relevant literature.RESULTS A total of 104 chemical components were identified from Heihuang Chizhu Granules,including 26 flavonoids,24 organic acids,14 triterpenoids,8 terpenoids,7 phenylpropanoids,11 monoglycosides,and 14 other components(phe-nols,alkaloids,etc.).On this basis,39 blood-entering components were identified in the plasma of rats administered via gavage,in-cluding 28 prototypes and 11 metabolites.CONCLUSION The chemical constituents of Heihuang Chizhu Granules and the compo-nents entering the blood of rats are analyzed and identified for the first time in this study,and the results provide a scientific basis for the basic research of Heihuang Chizhu Granules and the establishment of process quality control standards.

Purpose To investigate the incidence and risk of malignancy(ROM)of the Bethesda class Ⅰ/Ⅲ di-agnosis of thyroid nodules due to insufficient number of follicular cells,and to analyze the correlation between their in-sufficient cell volume and the characteristics of the nodules themselves from the perspective of ultrasound and histology.Methods Clinical data were collected from fine needle aspiration cytology(FNAC)of the thyroid gland.Review and statistical analysis was performed on cases with the Bethesda class Ⅰ/Ⅲ diagnosis due to insufficient cell volume.The incidence and the ROM of Bethesda class Ⅰ/Ⅲ diagnosis were calculated.BRAF V600E(+)or postoperative patho-logical indicating papillary thyroid carcinoma(PTC)was used as the criterion for malignancy.Then,we matched the Bethesda class Ⅱ/Ⅵ cases with sufficient cell volume as the control group.The ultrasound characteristics and histo-logical images of the two groups were compared and analyzed in order to reveal the correlation between the insufficient amount of penetrating cells and the objective characteristics of the nodule itself.Results There were 39 solid thyroid nodules with the Bethesda class Ⅰ diagnosis,with an incidence of 3.3％and a ROM of 38.5％,and 160 nodules with the Bethesda class Ⅲ diagnosis,with an incidence of 13.5％and a ROM of 59.4％.The incidence and ROM of nod-ules with C-TIRADS ≥4b(22.4％,67.6％)were higher than those of C-TIRADS ≤4a(12.7％,39.8％),and the differences were statistically significant(P＜0.001).Compared to the Bethesda class Ⅱ/Ⅵ nodules with sufficient cell volume,occurrence of the Bethesda class Ⅰ/Ⅲ nodules were significantly correlated with small nodules(maximal diameter＜5 mm),vertical growth(aspect ratio ≥ 1)and poor blood supply(no or little blood flow signals)(r=0.131,-0.230,0.237,P=0.008,＜0.001,＜0.001).They were also significantly correlated with the pathologic histologic structure of diffuse significant fibrosis of the interstitium and low parenchyma/interstitium composition ratio(about 1:1)(r=-0.269,-0.396,P=0.019,＜0.001).Conclusion Thyroid Bethesda class Ⅰ/Ⅲ nodules have a high ROM,and BRAF V600E detection is recommended as a tool of tiered management.Bethesda class Ⅰ/Ⅲ diagnosis of insufficient cell volume is more likely when the nodules are too small,grow vertically and lack blood sup-ply,presumably associated with extensive interstitial fibrosis and sparse parenchymal cells.

OBJECTIVE To optimize the molding process of Xiebai Granules(XG)using the Box-Behnken design-response surface method combined with the BP neural network method,and to evaluate the consistency of particle quality between different bat-ches by establishing physical fingerprint.METHODS Dry paste powder was used as the main drug,dry granulation was adopted,and the forming rate,dissolution rate,moisture absorption rate and angle of repose of the granules were used as evaluation indexes,the ex-cipients dextrin,maltodextrin and lactose of the particles,were screened by single factor test combined with simplex-lattice design and entropy weight method,and the optimal excipient ratio was selected.The entropy weight method combined with the Box-Behnken de-sign-response surface method and the BP neural network algorithm were used to optimize the process parameters,and the process veri-fication was carried out.The physical fingerprint was used to comprehensively characterize the bulk density(Da),hygroscopicity(H),moisture(HR),tap density(Dc),angle of repose(α),Hausner ratio(IH),relative uniformity index(Iθ),Carr index(IC),and in-terparticle pore number(Ie),and the consistency of particle quality in different batches was evaluated.RESULTS The optimal ratio of excipients was dextrin 15%,maltodextrin 48%,and lactose 37%.The optimal process parameters were conveying speed 95 r·min-1,pressure wheel speed 4 r·min-1 and hydraulic pressure 7 MPa.The similarity of the physical fingerprints of the five bat-ches of XG was greater than 0.98.CONCLUSION The optimized molding process of XG is stable and feasible,and the quality of different batches of XG is stable,which can provide a reference for the development and industrial scale-up production of XG.

OBJECTIVE To optimize the molding process of Xiebai Granules(XG)using the Box-Behnken design-response surface method combined with the BP neural network method,and to evaluate the consistency of particle quality between different bat-ches by establishing physical fingerprint.METHODS Dry paste powder was used as the main drug,dry granulation was adopted,and the forming rate,dissolution rate,moisture absorption rate and angle of repose of the granules were used as evaluation indexes,the ex-cipients dextrin,maltodextrin and lactose of the particles,were screened by single factor test combined with simplex-lattice design and entropy weight method,and the optimal excipient ratio was selected.The entropy weight method combined with the Box-Behnken de-sign-response surface method and the BP neural network algorithm were used to optimize the process parameters,and the process veri-fication was carried out.The physical fingerprint was used to comprehensively characterize the bulk density(Da),hygroscopicity(H),moisture(HR),tap density(Dc),angle of repose(α),Hausner ratio(IH),relative uniformity index(Iθ),Carr index(IC),and in-terparticle pore number(Ie),and the consistency of particle quality in different batches was evaluated.RESULTS The optimal ratio of excipients was dextrin 15%,maltodextrin 48%,and lactose 37%.The optimal process parameters were conveying speed 95 r·min-1,pressure wheel speed 4 r·min-1 and hydraulic pressure 7 MPa.The similarity of the physical fingerprints of the five bat-ches of XG was greater than 0.98.CONCLUSION The optimized molding process of XG is stable and feasible,and the quality of different batches of XG is stable,which can provide a reference for the development and industrial scale-up production of XG.

OBJECTIVE To analyze the chemical constituents of Heihuang Chizhu Granules and the blood composition of rats af-ter administration by UPLC-Q-TOF-MS/MS.METHODS A Waters ACQUITY UPLC HSS T3 column(3 mm×100 mm,1.8 μm)was eluted with acetonitrile-0.1%formic acid as mobile phase,and the data were collected in electrospray ion source positive and neg-ative ion mode and then identified with the reference retention time,precise molecular weight,secondary fragment ions,and references to relevant literature.RESULTS A total of 104 chemical components were identified from Heihuang Chizhu Granules,including 26 flavonoids,24 organic acids,14 triterpenoids,8 terpenoids,7 phenylpropanoids,11 monoglycosides,and 14 other components(phe-nols,alkaloids,etc.).On this basis,39 blood-entering components were identified in the plasma of rats administered via gavage,in-cluding 28 prototypes and 11 metabolites.CONCLUSION The chemical constituents of Heihuang Chizhu Granules and the compo-nents entering the blood of rats are analyzed and identified for the first time in this study,and the results provide a scientific basis for the basic research of Heihuang Chizhu Granules and the establishment of process quality control standards.

Purpose To investigate the incidence and risk of malignancy(ROM)of the Bethesda class Ⅰ/Ⅲ di-agnosis of thyroid nodules due to insufficient number of follicular cells,and to analyze the correlation between their in-sufficient cell volume and the characteristics of the nodules themselves from the perspective of ultrasound and histology.Methods Clinical data were collected from fine needle aspiration cytology(FNAC)of the thyroid gland.Review and statistical analysis was performed on cases with the Bethesda class Ⅰ/Ⅲ diagnosis due to insufficient cell volume.The incidence and the ROM of Bethesda class Ⅰ/Ⅲ diagnosis were calculated.BRAF V600E(+)or postoperative patho-logical indicating papillary thyroid carcinoma(PTC)was used as the criterion for malignancy.Then,we matched the Bethesda class Ⅱ/Ⅵ cases with sufficient cell volume as the control group.The ultrasound characteristics and histo-logical images of the two groups were compared and analyzed in order to reveal the correlation between the insufficient amount of penetrating cells and the objective characteristics of the nodule itself.Results There were 39 solid thyroid nodules with the Bethesda class Ⅰ diagnosis,with an incidence of 3.3％and a ROM of 38.5％,and 160 nodules with the Bethesda class Ⅲ diagnosis,with an incidence of 13.5％and a ROM of 59.4％.The incidence and ROM of nod-ules with C-TIRADS ≥4b(22.4％,67.6％)were higher than those of C-TIRADS ≤4a(12.7％,39.8％),and the differences were statistically significant(P＜0.001).Compared to the Bethesda class Ⅱ/Ⅵ nodules with sufficient cell volume,occurrence of the Bethesda class Ⅰ/Ⅲ nodules were significantly correlated with small nodules(maximal diameter＜5 mm),vertical growth(aspect ratio ≥ 1)and poor blood supply(no or little blood flow signals)(r=0.131,-0.230,0.237,P=0.008,＜0.001,＜0.001).They were also significantly correlated with the pathologic histologic structure of diffuse significant fibrosis of the interstitium and low parenchyma/interstitium composition ratio(about 1:1)(r=-0.269,-0.396,P=0.019,＜0.001).Conclusion Thyroid Bethesda class Ⅰ/Ⅲ nodules have a high ROM,and BRAF V600E detection is recommended as a tool of tiered management.Bethesda class Ⅰ/Ⅲ diagnosis of insufficient cell volume is more likely when the nodules are too small,grow vertically and lack blood sup-ply,presumably associated with extensive interstitial fibrosis and sparse parenchymal cells.

The quality control during the manufacturing process of traditional Chinese medicine TCM)is paramount to ensuring the quality of the final product.However,the sheer diversity of TCM ingredients and the intricacies of the production process pose sig-nificant challenges to achieving precise quality control.The review introduced an intelligent control concept centered on functional sub-stances in TCM quality,which comprehensively explained the scientific essence of TCM quality,and provided a theoretical foundation for determining"what to control"and"how to control"within the complex system of TCM components.Furthermore,through the ad-vanced informatization,digitization,and intelligent technologies,our team has conducted extensive research and construction practices on the intelligent transformation and digital upgrade of traditional Chinese medicine TCM)manufacturing processes.Ultimately,the establishment of a quality control system tailored specifically for TCM manufacturing with functional substances serving as the primary quality target,which presented an opportunity to solve the difficult problem of process quality control in TCM manufacturing.

Diabetic neuropathic pain (DNP) is the most common disabling complication of diabetes. Emerging evidence has linked the pathogenesis of DNP to the aberrant sprouting of sensory axons into the epidermal area; however, the underlying molecular events remain poorly understood. Here we found that an axon guidance molecule, Netrin-3 (Ntn-3), was expressed in the sensory neurons of mouse dorsal root ganglia (DRGs), and downregulation of Ntn-3 expression was highly correlated with the severity of DNP in a diabetic mouse model. Genetic ablation of Ntn-3 increased the intra-epidermal sprouting of sensory axons and worsened the DNP in diabetic mice. In contrast, the elevation of Ntn-3 levels in DRGs significantly inhibited the intra-epidermal axon sprouting and alleviated DNP in diabetic mice. In conclusion, our studies identified Ntn-3 as an important regulator of DNP pathogenesis by gating the aberrant sprouting of sensory axons, indicating that Ntn-3 is a potential druggable target for DNP treatment.
Mice ; Animals ; Diabetes Mellitus, Experimental/metabolism* ; Axons/physiology* ; Diabetic Neuropathies ; Sensory Receptor Cells/metabolism* ; Neuralgia/metabolism*