Microbial detection and control of traditional Chinese medicine(TCM) decoction pieces are crucial for the quality control of TCM preparations. It is also a key area of research in the measurement technology and equipment development for TCM manufacturing. Guided by TCM manufacturing measurement methodologies, this study presented a design of a novel portable microbial detection device, using Atractylodis Macrocephalae Rhizoma decoction pieces as a demonstration. Immunomagnetic separation technology was employed for specific isolation and labeling of target microorganisms. Enzymatic signal amplification was utilized to convert weak biological signals into colorimetric signals, constructing an optical biosensor. A self-developed smartphone APP was further applied to analyze the colorimetric signals and quantify target concentrations. A portable and automated detection system based on Arduino microcontroller was developed to automatically perform target microbial separation/extraction, as well as mimetic enzyme labeling and catalytic reactions. The developed equipment specifically focuses on the rapid and quantitative microbial analysis of TCM active pharmaceutical ingredients, intermediates in TCM manufacturing, and final TCM products. Experimental results demonstrate that the equipment could detect Salmonella in samples within 2 h, with a detection limit as low as 5.1 × 10~3 CFU·mL~(-1). The equipment enables the rapid detection of microorganisms in TCM decoction pieces, providing a potential technical solution for on-site rapid screening of microbial contamination indicators in TCM. It has broad application prospects in measurement technology for TCM manufacturing and offers strong technical support for the modernization, industrialization, and intelligent development of TCM.
Drugs, Chinese Herbal/analysis* ; Atractylodes/microbiology* ; Rhizome/microbiology* ; Biosensing Techniques/methods* ; Medicine, Chinese Traditional ; Colorimetry/instrumentation* ; Quality Control

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

Patients suffering from nerve injury often experience exacerbated pain responses and complain of memory deficits. The dorsal hippocampus (dHPC), a well-defined region responsible for learning and memory, displays maladaptive plasticity upon injury, which is assumed to underlie pain hypersensitivity and cognitive deficits. However, much attention has thus far been paid to intracellular mechanisms of plasticity rather than extracellular alterations that might trigger and facilitate intracellular changes. Emerging evidence has shown that nerve injury alters the microarchitecture of the extracellular matrix (ECM) and decreases ECM rigidity in the dHPC. Despite this, it remains elusive which element of the ECM in the dHPC is affected and how it contributes to neuropathic pain and comorbid cognitive deficits. Laminin, a key element of the ECM, consists of α-, β-, and γ-chains and has been implicated in several pathophysiological processes. Here, we showed that peripheral nerve injury downregulates laminin β1 (LAMB1) in the dHPC. Silencing of hippocampal LAMB1 exacerbates pain sensitivity and induces cognitive dysfunction. Further mechanistic analysis revealed that loss of hippocampal LAMB1 causes dysregulated Src/NR2A signaling cascades via interaction with integrin β1, leading to decreased Ca²⁺ levels in pyramidal neurons, which in turn orchestrates structural and functional plasticity and eventually results in exaggerated pain responses and cognitive deficits. In this study, we shed new light on the functional capability of hippocampal ECM LAMB1 in the modulation of neuropathic pain and comorbid cognitive deficits, and reveal a mechanism that conveys extracellular alterations to intracellular plasticity. Moreover, we identified hippocampal LAMB1/integrin β1 signaling as a potential therapeutic target for the treatment of neuropathic pain and related memory loss.
Animals ; Laminin/genetics* ; Hippocampus/metabolism* ; Neuralgia/metabolism* ; Cognitive Dysfunction/etiology* ; Male ; Peripheral Nerve Injuries/metabolism* ; Extracellular Matrix/metabolism* ; Integrin beta1/metabolism* ; Pyramidal Cells/metabolism* ; Signal Transduction

Objective:To investigate the liver-protective effect of Peipi Shugan Decoction (PSD) in rats with liver fibrosis through network pharmacology and experimental animal models.Methods:TCMSP was used to retrieve the active components of Peipi Shugan Decoction, GeneCards database was used to obtain the liver fibrosis related targets, and Venny 2.1 was used to obtain the intersection targets. A protein-protein interaction (PPI) network was constructed using the STRING 12.0 database, and Go function and KEGG pathway enrichment analysis were performed through David database. A total of 60 male Sprague-Dawley (SD) rats were divided into two groups: a blank control group ( n=10) and a model establishment group ( n=50) with random number table method. Liver fibrosis models were induced in the model group by intraperitoneal injection of a 40% CCl?- olive oil solution. After successful modeling, the rats were randomly assigned to the following groups ( n=10 per group): model group, colchicine group, and Peipi Shugan Decoction low-, medium-, and high-dosage groups. The colchicine group received colchicine suspension at 0.2 ml/kg via intragastric administration. Peipi Shugan Decoction low-, medium-, and high-dosage groups were administered the decoction at dosages of 2.81, 5.63, and 11.25 g/kg, respectively. The blank control and model groups received an equal volume of normal saline. All treatments were administered once daily for 8 consecutive weeks. HE staining and Masson staining were used to observe the morphological changes of liver tissue and the deposition of collagen fibers. he levels of GPT, GOT and ALP were detected by automatic biochemical analyzer. The expressions of JAK2/STAT1 signaling pathway related proteins, α - smooth muscle actin (α-SMA) and Collagen Ⅰ in rat liver were detected by Western blot. The expression of α-SMA protein in liver tissue was detected by immunohistochemistry. The number and ratio of CD4 + T cells and CD8 + T cells in liver tissue were analyzed by flow cytometry. The levels of IL-6, IL-1β and TNF-α in serum were detected by ELISA. Results:A total of 94 active components were screened out from Peipi Shugan Decoction; the prediction analysis results revealed that this compound formula shared 122 common targets with liver fibrosis diseases; The top five core targets with degree values in the PPI network are AKT1, TNF, IL-6, TP53, and IL-1β. GO enrichment analysis further indicated that Peipi Shugan Decoction mainly achieved anti-liver fibrosis effects by regulating JAK2/STAT1 signaling pathway and other mechanisms. Compared with the model group, the colchicine group and Peipi Shugan Decoction low-, medium-, and high-dosage groups exhibited decreased serum levels of GPT, GOT, ALP, IL-6, TNF-α, and IL-1β ( P<0.05), as well as reduced expression of α-SMA in liver tissue ( P<0.05). Peipi Shugan Decoction medium- and high-dosage groups showed increased protein expression of p-STAT1/STAT1 in liver tissue ( P<0.05), while Peipi Shugan Decoction high-dosage group demonstrated decreased α-SMA protein expression ( P<0.05). Additionally, Peipi Shugan Decoction medium- and high-dosage groups exhibited reduced expressions of CD4 + and CD8 + ( P<0.05). Conclusions:Peipi Shugan Decoction has the characteristics of multi-component, multi-target and multi-pathway in the treatment of liver fibrosis. Its mechanism is mainly related to activating the JAK2/STAT1 signaling pathway, inhibiting cellular inflammatory responses and hindering the activation of hepatic stellate cells (HSC).

Objective:The evidence on the use of bedside ultrasound to assess muscle mass in critically ill adults was retrieved and screened, and the best evidence was summarized.Methods:A computer search was conducted for relevant literature on ultrasound measurement of muscle mass in critically ill adults in domestic and foreign databases such as BMJ Best Clinical Practice, UpToDate, PubMed, CNKI, and guide website and professional association website. The search time limit was from the establishment of the database to August 30, 2023. Literature quality was evaluated by four researchers trained in systematic evidence-based courses according to literature type.Results:A total of 15 literatures were included, including 2 guideline, 4 expert consensus, 5 systematic reviews and 4 randomized controlled studies. A total of 22 pieces of evidence were summarized, including 6 aspects: position and patient preparation, feasibility of implementation by nursing staff, selection of probe and matters needing attention, muscle positioning, evaluation of muscle structure by ultrasound and the guiding significance of ultrasound evaluation of muscle mass.Conclusions:The best evidence summary of bedside ultrasound assessment of muscle mass in critically ill adults summarized in this study is scientific and systematic, and provides evidence-based basis for establishing standardized ultrasound assessment procedures in clinic.

Objective To study the acupoint selection and medication rules of acupoint application as an advantageous therapy in treating stroke.Methods The clinical literature from CNKI,Wanfang,CBMdisc,and other databases were searched,and Excel 2013 was used to count the frequency of disease,acupoint selection,and medication,and to analyze the acupoint selection rules using SPSS 25.0 and SPSS Modeler.Results Finally,523 articles were included in the literature,among which,the literature on the treatment of post-stroke constipation with acupoint patch was the most,and the related literature was further screened to analyze the acupoint selection and medication rules,and it was concluded that the most frequently applied acupoints of acupoint application for the treatment of post-stroke constipation were Shenque(RN8),Tianshu(ST25),Zhongwan(RN12),Zusanli(ST36),and the acupoints were mainly taken from conception vessel,stomach meridian and gallbladder meridian,and the core prescriptions were Shenque,Tianshu,Zhongwan,Qihai(RN6),Guanyuan(RN4),Zusanli.For the treatment of post-stroke constipation,acupoint application is often used with Rhei Radix et Rhizoma,Aurantii Fructus Immaturus,Cortex Magnoliae Officinalis,Natrii Sulfas Exsiccatus and Borneolum Syntheticum,among which,warm and cold nature drugs are mainly used,and bitter drugs are most frequently used among five flavors,and most frequently enter to the spleen meridian;and the core prescription is Rhei Radix et Rhizoma,Aurantii Fructus Immaturus,Cortex Magnoliae Officinalis,Natrii Sulfas Exsiccatus and Borneolum Syntheticum.Conclusion Acupoint application is an advantageous treatment for treating post-stroke constipation.The selection of acupoints was based on the conception vessel and stomach meridian,and the medication used were mainly focusing on those with functions of unblocking the bowels and directing qi downward,supplemented by strengthening the spleen and benefiting qi,warming the meridians and nourishing the blood.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.

Objective To evaluate the performance of magnetic resonance imaging(MRI)multi-sequence feature imputation and fusion mutual model based on sequence deletion in differentiating high-grade glioma(HGG)from low-grade glioma(LGG).Methods We retrospectively collected multi-sequence MR images from 305 glioma patients,including 189 HGG patients and 116 LGG patients.The region of interest(ROI)of T1-weighted images(T1WI),T2-weighted images(T2WI),T2 fluid attenuated inversion recovery(T2_FLAIR)and post-contrast enhancement T1WI(CE_T1WI)were delineated to extract the radiomics features.A mutual-aid model of MRI multi-sequence feature imputation and fusion based on sequence deletion was used for imputation and fusion of the feature matrix with missing data.The discriminative ability of the model was evaluated using 5-fold cross-validation method and by assessing the accuracy,balanced accuracy,area under the ROC curve(AUC),specificity,and sensitivity.The proposed model was quantitatively compared with other non-holonomic multimodal classification models for discriminating HGG and LGG.Class separability experiments were performed on the latent features learned by the proposed feature imputation and fusion methods to observe the classification effect of the samples in two-dimensional plane.Convergence experiments were used to verify the feasibility of the model.Results For differentiation of HGG from LGG with a missing rate of 10%,the proposed model achieved accuracy,balanced accuracy,AUC,specificity,and sensitivity of 0.777,0.768,0.826,0.754 and 0.780,respectively.The fused latent features showed excellent performance in the class separability experiment,and the algorithm could be iterated to convergence with superior classification performance over other methods at the missing rates of 30%and 50%.Conclusion The proposed model has excellent performance in classification task of HGG and LGG and outperforms other non-holonomic multimodal classification models,demonstrating its potential for efficient processing of non-holonomic multimodal data.

Objective This study aimed to explore the diagnostic concordance of fractional flow reserve(FFR)and quantitative flow ratio(QFR)and the characteristics affecting this concordance.Methods Patients with non-acute myocardial infarction admitted to the Department of Cardiology,Peking University Third Hospital between January 2019 and December 2021 were enrolled.The patients were divided into four groups:FFR+/QFR+and FFR-/QFR-,FFR+/QFR-and FFR-/QFR+with FFR or QFR≤0.80 as positive and＞0.80 as negative.Using FFR as the gold standard,the diagnostic value of QFR was analyzed,and differences in clinical features and pathological characteristics among the groups were compared.Results A total of 236 patients were included.The mean age was(64.48±9.63)years,and 67.8％were male.All patients had 30％-70％coronary stenosis.The consistency rate of QFR and FFR was 78.0％(n=184),and the Person correlation coefficient was 0.557(P＜0.001).Among FFR+patients,the minimum lumen diameter was larger[(1.56±0.34)mm vs.(1.39±0.31)mm,P=0.019],lesion length was shorter[(21.37±11.73)mm vs.(36.86±18.09)mm,P＜0.001],and coronary angiography-based index of microcirculartory resistance(AMR)was higher[(277.50±28.87)mmHg·s/m vs.(178.02±49.13)mmHg·s/m,P＜0.001]in the disconcordance group.Multivariate regression analysis suggested that AMR[OR 0.93,95％CI 0.88-0.99,P=0.030]and lesion length[OR 1.27,95％CI 1.01-1.60,P=0.045]were independent predictors of disconcordance.In the FFR-group,the lesion length was longer[(33.08±16.05)mm vs.(21.40±13.36)mm,P=0.020],and AMR[(169.66±24.01)mmHg·s/m vs.(265.95±44.78)mmHg·s/m,P＜0.001]and low-density lipoprotein-C[1.57(1.10,1.97)mmol/L vs.2.15(1.79,2.74)mmol/L,P=0.031]were lower in the disconcordance group.No statistically significant variables were identified by multivariate regression.Conclusions QFR had high diagnostic value compared with FFR.In the FFR+group,AMR and lesion length may have affected the diagnostic consistency of QFR and FFR.The study provided more evidence for the clinical application of QFR.