Based on the theory of "combined bi （痹） syndrome of the body and zang （脏）organs"， this paper elucidates the pathogenic transmission and treatment principles of systemic sclerosis-associated interstitial lung disease （SSc-ILD）. For the pattern in which the disease transmits from the body to the zang organs， the underlying pathogenesis is blood deficiency and liver constraint with cold congealing in the collaterals. The treatment principle is to nourish the blood and warm the channels， diffuse the lung and defend against pathogenic factors， so as to interrupt the inward transmission of the disease. For the pattern in which the disease transmits from the zang organs to the body， the pathogenesis may involve lung deficiency with insecurity of the exterior， liver fire attacking the lung and scorching the collaterals， or latent pathogens of phlegm and blood stasis permeating outward. The treatment principle is to tonify the lung and secure the exterior， clear the liver and purge the lung， and resolve blood stasis and unblock the collaterals， so that when the zang organs are restored， the body can be nourished. For the pattern in which the body and zang organs are simultaneously affected， the pathogenesis lies in violent toxin pathogens spreading throughout the three jiao （焦） and damaging both the body and zang organs. The treatment principle is to cool the blood and resolve toxins， resolve blood stasis and unblock the collaterals， thereby eliminating pathogenic factors from both the interior and exterior. Emphasis is placed on simultaneous treatment of the body and zang organs and dynamic syndrome differentiation and treatment， providing a new approach to understanding the pathogenesis of SSc-ILD in traditional Chinese medicine and to its stratified treatment.

Objective:To investigate the mechanism of Juanbi Capsules in the intervention of knee osteoarthritis by inhibiting lipid peroxidation and chondrocyte ferroptosis through activating nuclear factor E2 related factor (Nrf2)/glutathione peroxidase 4 (GPx4) signaling pathway.Methods:Totally 45 rats were randomly divided into blank group, model group and Juanbi Capsules low-, medium- and high-dosage groups, with 9 rats in each group. Except the blank group, the other groups were injected with sodium monoiodoacetate (MIA) to establish knee osteoarthritis model. From the third week of modeling, rats in Juanbi Capsules low-, medium- and high-dosage groups were gavaged with 108.05, 216.09, and 432.18 mg/kg of Juanbi Capsules suspension, and rats in the blank group and model group were gavaged with equal volume of normal saline, once a day, for 28 consecutive days. HE and safranine fast green staining were used to observe the pathological changes of cartilage tissue, and Mankin's score was performed; the levels of MDA, Fe 2+, glutathione (GSH) in articular cartilage were detected by biochemical kit; Western blot was used to detect the protein expressions of SLC7A11, GPx4, acsll4 and Nrf2 in rat articular cartilage. Results:Compared with the model group, the Mankin's score was significantly lower in the Juanbi Capsules middle- and high-dosage groups ( P<0.01); the MDA level decreased in Juanbi Capsules low-, medium- and high-dosage groups ( P<0.01), GSH level increased ( P<0.01), and and Fe 2+ level decreased Juanbi Capsules middle- and high-dosage groups ( P<0.01, P<0.05); the protein expressions of Nrf2, SLC7A11 and GPx4 in cartilage tissue of Juanbi Capsules middle- and high-dosage groups increased ( P<0.01 or P<0.05), the expression of ACSl4 protein decreased ( P<0.01 or P<0.05), and SLC7A11 protein expression increased in Juanbi Capsules low-dosage group ( P<0.05). Conclusion:Juanbi Capsule may inhibit the ferroptosis of rat articular cartilage by activating the Nrf2/GPX4 signaling pathway.

Objective To observe the effects of Hedysarum Polybotrys polysaccharide(HPS)on the glucose metabolism of small intestinal smooth muscle in rats with diabetic gastroparesis(DGP)of spleen qi deficiency syndrome;To explore its mechanism based on AMPK/GLUT4 signaling pathway.Methods Totally 72 male Wistar rats were randomly divided into 12 in the blank group and the remaining 60 rats were assigned to the model group.The DGP spleen qi deficiency syndrome model was replicated by intraperitoneal injection of streptozotocin+irregular feeding with high-fat and high sugar feed combined with swimming exhaustion method.The model rats were randomly divided into model group,metformin group and HPS high-,medium-and low-dosage groups.The metformin group was given 100 mg/kg metformin hydrochloride by gavage,while the HPS high-,medium-and low-dosage groups were given 200,100 and 50 mg/kg HPS by gavage,respectively.The blank group and model group were given purified water by gavage once a day for 8 consecutive weeks.The gastric emptying rate and small intestine propulsion rate in rats were detected,HE staining was used to observe the smooth muscle morphology of gastric antrum and ileal tissue,immunofluorescence staining was used to detect the expression of glucagon like peptide-1(GLP-1)in ileal tissue,ELISA was used to detect the contents of adiponectin(APN),glucagon(Glu)and insulin(INS)in serum,Western blot was used to detect the protein expressions of glucose transporter(GLUT)4,GLUT1,AMP-activated protein kinase(AMPK)and p-AMPK in ileal tissue.Results Compared with the blank group,the model group rats showed significantly increased random blood glucose,significantly decreased body mass,gastric emptying rate and small intestinal propulsion rate(P<0.01);the edema in the submucosal layer,loose arrangement of connective tissue,infiltration of a small number of lymphocytes,granulocytes and macrophages,reduced number of goblet cells in the ileal tissue,shedding of intestinal villous epithelial cells and widening of the gap between the submucosal layer and the lamina propria;the expression of GLP-1 in ileal tissue was significantly decreased(P<0.05),the contents of serum APN and INS were significantly decreased,and the content of Glu significantly increased(P<0.01),the expressions of GLUT4 and p-AMPK/AMPK proteins in ileal tissue were significantly decreased,while the expression of GLUT1 protein significantly increased(P<0.01).Compared with the model group,rats in metformin group and HPS high-dosage group showed a random decrease in blood glucose,an increase in body mass,gastric emptying rate,and small intestine propulsion rate(P<0.05,P<0.01);a more regular arrangement of gastric antral tissue cells,a reduction of shedding cells and edema,the smooth muscle structure of the ileal tissue was relatively intact,with evenly distributed cells and reduced infiltration of inflammatory cells;the expression of GLP-1 in ileal tissue increased,the contents of serum APN and INS increased,and the content of Glu decreased,the expressions of GLUT4 and p-AMPK/AMPK proteins in ileal tissue increased,while the expression of GLUT1 protein decreased(P<0.05,P<0.01).Conclusion HPS may up-regulate GLUT4 and down-regulate GLUT1 expression through activates AMPK,promotes glucose uptake and utilization by small intestinal smooth muscle,and improves glucose metabolism of DGP rats with spleen qi deficiency syndrome.

Medical ultrasound technology is widely used for diagnosis and therapy in clinical practice.Ultrasound probes,which are directly contact with patients,pose a potential risk of pathogen transmission.This expert consen-sus was developed by a multidisciplinary team based on international guidelines,standards in China,and the results of a national survey,aiming to reduce the risk of healthcare-associated infection through standardizing reprocessing of medical ultrasound probes,and formulating consensus recommendations with the Delphi method.The consensus clarifies the reprocessing principles for three types of ultrasound probes of different infection risks:external-use ul-trasound probes,interventional percutaneous ultrasound probes,and internal-use ultrasound probes,puts forward systematic suggestions on the reprocessing standards and disinfection levels of ultrasound probe isolation covers and coupling agents,the reprocessing procedures and methods of ultrasound probes,as well as architectural layout and management of reprocessing,so as to provide a scientific prevention and control framework for ensuring ultrasound diagnosis and therapy safety.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

We propose a strategy to reduce unnecessary prostate biopsies in Chinese patients with total prostate-specific antigen (tPSA) >10 ng ml -1 and Prostate Imaging Reporting and Data System (PI-RADS) scores between 1 and 3. Clinical data derived from 517 patients of The First Affiliated Hospital of USTC (Hefei, China) from January 2020 to December 2023 who met the screening criteria for the study were retrospectively collected. Independent predictors were identified via univariate and multivariate logistic regression analysis. The diagnostic capacity of clinical variables was evaluated using the receiver operating characteristic (ROC) curves and area under the curve (AUC). A prostate biopsy strategy was developed via risk stratification. Of the 517 patients, 17/348 (4.9%) with PI-RADS 1-2 were diagnosed with clinically significant prostate cancer (csPCa), and 27/169 (16.0%) patients with PI-RADS 3 were diagnosed with csPCa. The appropriate prostate-specific antigen density (PSAD) cut-off values were 0.45 ng ml -2 for PI-RADS 1-2 patients and 0.3 ng ml -2 for PI-RADS 3 patients. The appropriate prostate volume (PV) cut-off values were 40 ml for PI-RADS 1-2 patients and 50 ml for PI-RADS 3 patients. The prostate biopsy strategy based on PSAD and PV developed in this study can reduce unnecessary prostate biopsies in patients with tPSA >10 ng ml -1 and PI-RADS 1-3. In the study, 66.5% (344/517) patients did not need to undergo prostate biopsy, at the expense of missing only 1.7% (6/344) patients with csPCa.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Retrospective Studies ; Prostate/diagnostic imaging* ; Unnecessary Procedures/statistics & numerical data* ; Biopsy/statistics & numerical data* ; China ; ROC Curve

Objective:To construct a machine learning model based on localization CT-based radiomics, dosiomics and clinical features for predicting radiotherapy response in non-small cell lung cancer (NSCLC) and validate its application value.Methods:A retrospective case series study was conducted. A total of 138 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022 were selected. The efficacy was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, and the patients were stratified according to the objective remission (complete remission+partial remission). Random stratified sampling was used to divide the 138 patients into a training group (96 cases) and an internal validation group (42 cases) at a ratio of 7∶3. Additionally, 33 patients who received radiotherapy at Jining Cancer Hospital from January 2019 to December 2022 were included as the external validation group. Based on the pre-radiotherapy data of the radiotherapy planning system, PyRadiomics software package was used to extract 107 radiomics features and 107 dosiomics features for each patient. Pearson correlation analysis and LASSO regression analysis were used for dimensionality reduction screening; the final selected features were weighted and integrated to generate radiomics-dosiomics scores (RDS), which were then input into logistic regression (LR), support vector machine (SVM), extremely randomized forest (Extra Trees), K-nearest neighbor algorithm (KNN), lightweight gradient boosting machine (Light GBM), and multi-layer perceptron (MLP) machine learning algorithms to construct 6 radiomics-dosiomics models (RDM) for predicting the objective remission. RECIST 1.1 standard was used to evaluate objective remission as the gold standard, receiver operating characteristic (ROC) curve of 6 RDM for predicting objective remission was plotted, and the optimal algorithm for RDM was selected. Univariate and multivariate logistic regression were performed on demographic characteristics, hematological indicators and radiotherapy parameters of the training group to screen independent risk factors for NSCLC patients who received radiotherapy but did not achieve objective remission. These factors were input into the optimal machine learning algorithm to construct a clinical model (CM). Combined with features from RDS and CM, the clinical feature-radiomics-dosiomics combined model (CRDM) was established, and the nomogram of the model for predicting objective remission in NSCLC patients with radiotherapy was drawn. ROC curves were used to evaluate the efficacy of CM, RDM and CRDM in predicting the objective remission in NSCLC patients with radiotherapy in the training group, internal validation group and external validation group.Results:Four radiomics features (including grayscale variance, low grayscale long-range operation emphasis, low grayscale area emphasis, and small area low grayscale area emphasis, all of which were texture features) and 6 dosiomics features [including 1 first-order feature (robust mean absolute deviation), 4 texture features (grayscale non-uniformity, large area emphasis, large area high grayscale emphasis, contrast) and 1 shape feature (shortest axis length)] were selected. ROC curve analysis showed that the area under the curve (AUC) of the RDM constructed using SVM algorithm for judging the objective remission in the training group and the internal validation group was 0.907 (95% CI: 0.836-0.977) and 0.822 (95% CI: 0.685-0.959), which were higher than RDM constructed using other algorithms, and the sensitivity (96.2% and 91.7%), specificity (78.6% and 76.7%) and accuracy (83.3% and 81.0%) at the optimal cut-off values were all higher. Considering the stability and generalization ability of the model, SVM algorithm was ultimately used to construct RDM, CM and CRDM uniformly. Based on training group data, univariate and multivariate logistic regression analysis showed that elevated platelet-to-lymphocyte ratio (PLR) ( OR = 1.001, 95% CI: 1.000-1.003, P = 0.035) and increased target volume of radiotherapy plan ( OR = 1.001, 95% CI: 1.000-1.001, P = 0.008) were independent risk factors for failure to achieve objective remission. ROC curve analysis showed that in the training group and the internal validation group, the AUC of CRDM predicting objective remission were 0.914 (95% CI: 0.856-0.972) and 0.864 (95% CI: 0.754-0.974), respectively, which were better than CM [AUC were 0.735 (95% CI: 0.612-0.857) and 0.697 (95% CI: 0.507-0.888)] and RDM, respectively. In the external validation group, the AUC of CRDM, CM and RDM were 0.778 (95% CI: 0.500-1.000), 0.667 (95% CI: 0.434-0.899) and 0.741 (95% CI: 0.463-1.000), respectively. Conclusions:The CRDM constructed by combining radiomics, dosiomics and clinical features can comprehensively and accurately evaluate the radiotherapy response of NSCLC patients, and may have important clinical application value in achieving precision medicine and optimizing treatment strategies.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Systemic lupus erythematosus （SLE） may lead to secondary gynecological and obstetric disorders such as decreased ovarian reserve function， menstrual abnormalities， and adverse pregnancy outcomes. Based on "bi （痹） of both body and viscera" theory， this paper proposed that the core mechanism of SLE secondary gynecological and obstetric diseases lies in the mutual transformation between "body bi" and "viscera bi"， which together affect the uterus. Physiologically， uterus forms an internal-external network with the body and viscera through the meridians and blood vessels. Pathologically， when the healthy qi is deficient， nourishment of the body and viscera is impaired； when toxins and stasis accumulate， pathogenic factors disturb the uterus through the chong （冲） and ren （任） meri-dians. The resulting obstruction in the uterus can， in turn， manifest externally and aggravate damage to the body and viscera. Therefore， the pathogenesis of SLE secondary gynecological and obstetric diseases follows a dynamic trajectory of "body bi first， body bi affecting viscera， and then bi of both body and viscera". In treatment， the principle of harmonizing and balancing the healthy qi is emphasized. The main approach is to regulate the viscera， stabilize the body， and nourish the uterus， with the coordination of nourishing the viscera through the body， thereby achieving simultaneous treatment of both body and viscera. This highlights the guiding significance of the "bi of both body and viscera" theory in preventing and treating SLE secondary gynecological and obstetric diseases.

Diabetic nephropathy(DN)is a significant causative factor of end-stage renal disease globally,and its pathogenesis involves dysregulation of multiple cellular and hormonal pathways.Podocytes play crucial roles in the process of DN,with the extent of podocyte injury closely associated with key pathological manifestations of renal damage,such as proteinuria,glomerular filtration rate,and glomerulosclerosis.However,due to the complexity and interplay of mechanisms contributing to podocyte injury,such as oxidative stress,abnormal lipid metabolism,and mitochondrial damage,the precise mechanisms underlying podocyte injury remain incompletely understood.This review integrated the latest research findings from both domestic and international studies on the core mechanisms of podocyte injury in DN.Furthermore,this article summarized the implications of these mechanisms for DN treatment,particularly focusing on potential therapeutic targets and the development of related pharmacological interventions derived from targeting podocyte injury pathways,so as to provide a theoretical foundation for the development of clinical therapeutic strategies for DN.