Diabetic cognitive impairment （DCI） has an insidious onset and progressive and irreversible development. There is currently no first-line treatment for DCI. Early intervention of diabetes with traditional Chinese medicine （TCM） can effectively control blood sugar and improve cognitive impairment， which has significant advantages. As a representative of bitter and cold heat-clearing medicines， Coptidis Rhizoma， known for its abilities to clear heat and dampness and remove turbidity and toxins， has been widely used in the clinical prevention and treatment of diabetes， Alzheimer's disease， vascular dementia， and other cognitive impairments. This article systematically summarized relevant literature and observed that Coptidis Rhizoma has shown good potential in the prevention and treatment of DCI with its active ingredients such as berberine and quercetin， drug pairs such as Coptidis Rhizoma-Scutellariae Radix， Coptidis Rhizoma-Acorus Tatarinowii Rhizoma， Coptidis Rhizoma-Pinelliae Rhizoma， Coptidis Rhizoma-Zingiberis Rhizoma， and prescriptions such as Gegen Qinliantang， Huanglian Jiedutang， Banxia Xiexintang， Huanglian Wendantang， Jiaotai Wan， Danggui liuhuangtang， and related Chinese patent medicines. Its mechanism may be related to regulating glucose metabolism， improving insulin resistance， improving amyloid β-protein （Aβ） deposition and tau protein phosphorylation， inhibiting neuroinflammation and oxidative stress， and regulating the "microbe-gut-brain axis". The article systematically reviewed the research progress of Coptidis Rhizoma and its prescriptions in the prevention and treatment of DCI， aiming to preliminarily explain the scientific connotation of Coptidis Rhizoma and provide a basis for its clinical application in the prevention and treatment of DCI.

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

This study established the HPLC fingerprints, characteristic chromatograms, and a multi-component content determination method for Bidens bipinnata and B. biternata. The chemical pattern recognition analysis was then employed to clarify the characteristic indexes of quality differences between the two original plants of Bidentis Herba, providing a reference for establishing the quality standards of Bidentis Herba. HPLC was launched on an Agilent Poroshell 120 EC-C_(18) chromatographic column(4.6 mm×250 mm, 4 μm) by gradient elution with a mobile phase of 0.1% aqueous phosphoric acid-acetonitrile at a flow rate of 0.7 mL·min~(-1), detection wavelength of 270 nm, column temperature of 25 ℃, and an injection volume of 5 μL. The similarity between the fingerprints of 18 batches of Bidentis Herba samples and the common pattern(R) ranged from 0.572 to 0.933. A total of 23 chromatographic peaks were calibrated. Through comparison with the reference substances, six components(neochlorogenic acid, chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, rutin, and hyperoside) were identified and subjected to quantitative analysis. The characteristic fingerprints of B. bipinnata and B. biternata were calibrated with 20 and 17 characteristic peaks, respectively. Among them, peaks 8, 9, 22, and 23 were the characteristic peaks of B. bipinnata, and peak 7 was the characteristic peak of B. biternata, which can be used to distinguish the two original plants of Bidentis Herba. The relative standard deviation of the content of the above-mentioned six components ranged from 36% to 123%. The cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) classified the 18 batches of Bidentis Herba samples into two categories. Additionally, through the analysis of variable importance in projection(VIP) under OPLS-DA, three characteristic indexes, rutin, isochlorogenic acid A, and isochlorogenic acid B, were identified. The analytical method established in this study can comprehensively evaluate the consistency of Bidentis Herba samples derived from different original plants, specifically identify the differential components between them, and effectively distinguish the two original plants of Bidentis Herba, providing a basis for the differentiation between different original plants and the quality control of Bidentis Herba.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Bidens/chemistry*

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Schistosomiasis was once hyper-endemic in Yunnan Province. Following concerted efforts for over 70 years, remarkable achievements have been made for schistosomiasis control in the province. In 2004, the Mid- and Long-term Plan for Schistosomiasis Prevention and Control in Yunnan Province was initiated in Yunnan Province, and the target for transmission control of schistosomiasis was achieved in the province in 2009. Following the subsequent implementation of the Outline for Key Projects in Integrated Schistosomiasis Control Program (2009—2015) and the 13th Five - year Plan for Schistosomiasis Control in Yunnan Province, no acute schistosomiasis had been identified in Yunnan Province for successive 12 years, and no local Schistosoma japonicum infections had been detected in humans, animals or Oncomelania hupensis snails for successive 6 years in the province by the end of 2020. The transmission of schistosomiasis was interrupted in Yunnan Province in 2020. This review summarizes the history of schistosomiasis, changes in schistosomiasis prevalence and progress of schistosomiasis control in Yunnan Province, and proposes the future priorities for schistosomiasis control in the province.

Objective To predict the potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into O. hupensis surveillance and control in Yunnan Province. Methods The O. hupensis snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into O. hupensis snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population). Variables were screened with Pearson correlation test and variance inflation factor (VIF) test. The RF and MaxEnt models and the ensemble model were created using the biomod2 package of the software R 4.2.1, and the potential distribution of O. hupensis snails after 2016 was predicted in Yunnan Province. The predictive effects of models were evaluated through cross-validation and independent tests, and the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS) and Kappa statistics were used for model evaluation. In addition, the importance of environmental variables was analyzed, the contribution of environmental variables output by the models with AUC values of > 0.950 and TSS values of > 0.850 were selected for normalization processing, and the importance percentage of environmental variables was obtained to analyze the importance of environmental variables. Results Data of 148 O. hupensis snail distribution sites and 15 environmental variables were included in training sets of RF and MaxEnt models, and both RF and MaxEnt models had high predictive performance, with both mean AUC values of > 0.900 and all mean TSS values and Kappa values of > 0.800, and significant differences in the AUC (t = 19.862, P < 0.05), TSS (t = 10.140, P < 0.05) and Kappa values (t = 10.237, P < 0.05) between two models. The AUC, TSS and Kappa values of the ensemble model were 0.996, 0.954 and 0.920, respectively. Independent data verification showed that the AUC, TSS and Kappa values of the RF model and the ensemble model were all 1, which still showed high performance in unknown data modeling, and the MaxEnt model showed poor performance, with TSS and Kappa values of 0 for 24%(24/100) of the modeling results. The modeling results of 79 RF models, 38 MaxEnt models and their ensemble models with AUC values of > 0.950 and TSS values of > 0.850 were included in the evaluation of importance of environmental variables. The importance of annual sunshine duration (SSD) was 32.989%, 37.847% and 46.315% in the RF model, the MaxEnt model and their ensemble model, while the importance of annual mean relative humidity (RHU) was 30.947%, 15.921% and 28.121%, respectively. Important environment variables were concentrated in modeling results of the RF model, dispersed in modeling results of the MaxEnt model, and most concentrated in modeling results of the ensemble model. The potential distribution of O. hupensis snails after 2016 was predicted to be relatively concentrated in Yunnan Province by the RF model and relatively large by the MaxEnt model, and the distribution of O. hupensis snails predicted by the ensemble model was mostly the joint distribution of O. hupensis snails predicted by RF and MaxEnt models. Conclusions Both RF and MaxEnt models are effective to predict the potential distribution of O. hupensis snails in Yunnan Province, which facilitates targeted O. hupensis snail control.

Objective To investigate the predictive value of labor progress angle (AOP), fetal head descent distance (HPD) and their change rates in the outcome of vaginal trial of cesarean scar uterus. Methods A total of 170 pregnant women who underwent vaginal trial production of scar uterus after cesarean section were selected as study subjects, and were divided into successful group and failed group based on the trial production outcomes. Advanced oxidation processes (AOP) and head-perineum distance (HPD) were measured by ultrasound during the active phase of the first stage of labor when the cervix dilated to 4 cm and at 1 hour after the cervix dilated to 4 cm, respectively. The AOP change rate and HPD change rate after 1 hour of progress were calculated. The receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of AOP, HPD and their change rates in the outcome of vaginal trial production of scar uterus after cesarean section. Delong test was used to compare the differences in area under curves (AUCs). Results Among 170 pregnant women with scarred uterus after cesarean section who were pregnant again, 139 cases (success group) were succeed in transvaginal delivery, while 31 cases failed trial delivery, and transferred to cesarean section (failure group). The AOP of the successful group was significantly larger than that of the failed group when the cervix was opened to 4 cm, and the HPD was significantly shorter than that of the failure group (P < 0.05). The AOP change rate and the change rate of HPD of the successful group were significantly higher than that of the failed group when the cervix dilated to 4 cm and at 1 hour (P < 0.05). The AUC of AOP and HPD in predicting the outcome of vaginal trial delivery of scar uterus after cesarean section were 0.846 and 0.812 respectively, and AUC predicted jointly by AOP and HPD showed no significant differences compared with AUC predicted separately (P>0.05). The AUC of the change rate of AOP and HPD in predicting the outcome of vaginal trial delivery of scarred uterus after cesarean section was 0.899 and 0.852 respectively, and the combined prediction of AOP change rate and HPD change rate had a higher AUC value than the AUC predicted separately. Its AUC value was higher than that of AOP combined with HPD (P < 0.05). Conclusion The AOP, HPD and their change rates when the uterine orifice expands to 4 cm in the active phase of the first stage of labor have predictive value for the outcome of vaginal trial production of scarred uterus after cesarean section.

Sleep-wake disorder is one of the most common nonmotor symptoms of Parkinson's disease (PD). Melatonin has the potential to improve sleep-wake disorder, but its mechanism of action is still unclear. Our data showed that melatonin only improved the motor and sleep-wake behavior of a zebrafish PD model when melatonin receptor 1 was present. Thus, we explored the underlying mechanisms by applying a rotenone model. After the PD zebrafish model was induced by 10 nmol/L rotenone, the motor and sleep-wake behavior were assessed. In situ hybridization and real-time quantitative PCR were used to detect the expression of melatonin receptors and lipid-metabolism-related genes. In the PD model, we found abnormal lipid metabolism, which was reversed by melatonin. This may be one of the main pathways for improving PD sleep-wake disorder.
Animals ; Zebrafish ; Melatonin/pharmacology* ; Lipid Metabolism/drug effects* ; Disease Models, Animal ; Rotenone/pharmacology* ; Sleep Wake Disorders/metabolism* ; Parkinson Disease/metabolism* ; Motor Activity/drug effects* ; Sleep/drug effects*

Objective:To examine the expression of core clock genes in the peripheral blood mononuclear cells (PBMCs) and the level of circadian disturbance-related proteins in the serum of chronic pancreatitis (CP) patients with pancreatic exocrine insufficiency (PEI), and explore their potential diagnostic value in clinical practice.Methods:The peripheral blood samples and related clinical data from 68 patients diagnosed with CP in Shanghai General Hospital from Jan 2015 to Jan 2022 were collected. Peripheral blood samples from 30 healthy individuals were used for control. The M-ANNHEIM classification system was used to stratify the clinical stages of patients with CP. The mRNA expression of the core clock genes, including Clock, Bmal1, Per1/2/3 and Cry1/2 in PBMCs was analyzed using realtime qPCR, and the expression of circadian disturbance-related proteins like TrkB, CD 36 and Rbp in serum was measured with ELISA. The receiver operating characteristic curve(ROC) and the area under curve (AUC) was used to test the efficiency for diagnozing PEI. Results:The mRNA expression of Per1 in CP patients was significantly decreased (0.76 vs 1, P<0.05), and the AUC for diagnozing PEI was 0.744 (95% CI 0.628-0.860), with a cut-off value of 0.72; and the sensitivity and specificity was 84.8% and 57.1%, respectively. The protein abundance of serum CD 36 was significantly increased in CP patients (33.85±19.74ng/ml vs 24.71±11.53 ng/ml, P<0.05); the AUC for diagnozing PEI was 0.834 (95% CI 0.735-0.932), with a cut-off value of 29.75 pg/ml; and the sensitivity and specificity was 74.3% and 84.8%, respectively. The expression of CD 36 was increased with the increase of CP clinical stage, and there were statistically significant differences between either two stages (all P value <0.05). The mRNA expression of Per1 in patients with CP in Stage Ⅰ was significantly higher than that in patients with CP in Stage Ⅱ or Ⅲ, and the differences were statistically significant ( P<0.05), but no statistical difference was found between Stage Ⅱ and Stage Ⅲ. Conclusions:The decreased expression of Per1 mRNA in PBMCs and increased level of CD 36 in serum are significantly related to the occurrence of PEI in CP, suggesting that they may have potential value for diagnozing PEI and guiding the clinical practice.

Bone defects caused by different causes such as trauma, severe bone infection and other factors are common in clinic and difficult to treat. Usually, bone substitutes are required for repair. Current bone grafting materials used clinically include autologous bones, allogeneic bones, xenografts, and synthetic materials, etc. Other than autologous bones, the major hurdles of rest bone grafts have various degrees of poor biological activity and lack of active ingredients to provide osteogenic impetus. Bone marrow contains various components such as stem cells and bioactive factors, which are contributive to osteogenesis. In response, the technique of bone marrow enrichment, based on the efficient utilization of components within bone marrow, has been risen, aiming to extract osteogenic cells and factors from bone marrow of patients and incorporate them into 3D scaffolds for fabricating bone grafts with high osteoinductivity. However, the scientific guidance and application specification are lacked with regard to the clinical scope, approach, safety and effectiveness. In this context, under the organization of Chinese Orthopedic Association, the Expert consensus for the clinical application of autologous bone marrow enrichment technique for bone repair ( version 2023) is formulated based on the evidence-based medicine. The consensus covers the topics of the characteristics, range of application, safety and application notes of the technique of autologous bone marrow enrichment and proposes corresponding recommendations, hoping to provide better guidance for clinical practice of the technique.