Objective To explore the non-invasive diagnostic criteria of magnetocardiography (MCG) for coronary microvascular dysfunction (CMVD), and its value in dynamically assessing drug treatment for CMVD. Methods Patients who presented with chest tightness or chest pain at Zhongshan Hospital, Fudan University from September 2024 to March 2025 were consecutively enrolled, and all of whom had non-obstructive coronary arteries on angiography. Using the coronary angiography-derived index of microcirculatory resistance (caIMR) as the gold standard, patients were divided into a normal microcirculation group (caIMR≤40 U) and a CMVD group (caIMR＞40 U). MCG testing was performed using a domestic device (MD-U041001, Mind Medical). Patients in the CMVD group received adenosine treatment and underwent repeat MCG after medication. Differences in MCG parameters between the two groups were analyzed, and a diagnostic model was established. The value of the diagnostic model was analyzed using receiver operating characteristic (ROC) curves. Results A total of 311 patients were included, with 135 in the normal microcirculation group and 176 in the CMVD group. The CMVD group had a significantly higher proportion of males (61.9% vs 47.4%, P＝0.012), and lower high-density lipoprotein cholesterol (HDL-C) levels ([1.16±0.31] mmol/L vs [1.24±0.29] mmol/L, P＝0.029) than the normal group. Eleven MCG parameters showed significant differences between the two groups (P＜0.05), among which increased values of mfm_QR_epav, mfm_RS_epmse, space_zeroRTrot, as well as decreased value of mfm_QR_v1 were independent predictors of CMVD. The diagnostic model based on these 11 MCG parameters yielded an area under the curve (AUC) of 0.688 (95%CI 0.629-0.747). The integrated diagnostic model combining clinical risk factors (male, smoking history, HDL-C) with MCG parameters had an AUC of 0.701 (95%CI 0.643-0.759). After adenosine treatment, patients in the CMVD group showed significant decreases in mfm_QR_epav (P＝0.010), mfm_RS_sad (P＝0.013), and mfm_RS_epmse (P＝0.046). Conclusions The model based on MCG parameters demonstrates good diagnostic ability for CMVD; dynamic changes in MCG parameters following adenosine intervention may serve as potential objective indicators for evaluating microcirculatory treatment efficacy.

Objective To investigate the impact of red blood cell suspension infusion across various perioperative periods on patients with valvular heart disease. Methods The patients with valvular heart disease admitted to Tianjin Chest Hospital from 2018 to 2020 were selected. Based on the timing of perioperative red cell suspension infusion, patients were categorized into three groups: a group 1 receiving intraoperative red cell suspension infusion, a group 2 receiving red cell suspension infusion within 24 hours after entering the ICU, and a group 3 receiving red cell suspension infusion at both time points. The laboratory results, perioperative blood component infusion volume, and other relevant parameters were retrospectively analyzed. After propensity score matching, the differences in different variables among the three groups were compared. Results After propensity score matching, 102 patients were enrolled, including 52 males and 50 females, with an average age of (61.74±10.58) years. There were 34 patients in each group. The preoperative hemoglobin (Hb) value of the group 2 was significantly higher than that of the group 1 and the group 3, and the amount of red cell suspension and autoblood transfusion was the lowest (P<0.05). Group 1 had the highest postoperative Hb, as well as the highest Hb and hematocrit (HCT) levels within 24 hours post-surgery (P<0.05). The group 1 had the lowest plasma, platelet and cryoprecipitate infusion volumes, and the shortest cardiopulmonary bypass time, aortic occlusion time, postoperative ICU stay and hospital stay, and the least blood loss and total drainage volume (P<0.05). The difference between postoperative and preoperative Hb (△Hb1) was highest in group 1 (P<0.05). Conclusion For patients with valvular heart disease, intraoperative-only infusion of red blood cell suspension is associated with a better prognosis at discharge and during follow-up.

Juvenile idiopathic arthritis (JIA) is the most common condition of chronic rheumatic disease in children. JIA is an autoimmune or autoinflammatory disease, with unclear mechanism and limited treatment efficacy. Recent studies have found a number of alterations in gut microbiota and its metabolites in children with JIA, which are related to the development and progression of JIA. This review focuses on the influence of the gut microbiota and its metabolites on immune function and the intestinal mucosal barrier and discuss the key role of the gut-joint axis in the pathogenesis of JIA and emerging treatment methods based on gut microbiota and its metabolites. This review could help elucidate the pathogenesis of JIA and identify the potential therapeutic targets for the prevention and treatment of JIA.
Humans ; Arthritis, Juvenile/physiopathology* ; Gastrointestinal Microbiome/physiology* ; Child ; Intestinal Mucosa

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective:To observe the clinical effect of urokinase along the pipeline under offline status to dissolve dialyzer microthrombus in patients undergoing continuous renal replacement therapy (CRRT).Methods:A prospective research method was adopted. A total of 248 CRRT patients with dialyzer microthrombus in Sinopharm-Gezhouba Central Hospital from January 2017 to December 2021 were selected. The patients were divided into experimental group (continued CRRT treatment after urokinase along the pipeline under offline status to dissolve dialyzer microthrombus) and control group (continued CRRT treatment after dialyzer replacement) by random number table method with 124 cases in each group. The baseline data were recorded, including gender, age, primary disease, hemoglobin, platelet count, hematocrit, plasma albumin, D-dimer, fibrinogen, anticoagulant method and symptoms associated with dialyzer microthrombus. The blood indexes were detected before and after treatment of microthrombus, and the symptom scores were performed. The blood indexes included creatinine, urea nitrogen, β 2 microglobulin (β 2-MG), international normalized ratio (INR), hypersensitive C-reactive protein (hs-CRP), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α); and the symptom scores included acute physiology and chronic health status score Ⅱ (APACHE Ⅱ) and (APACHE Ⅱ) and sequential organ failure score. The initial transmembrane pressure, transmembrane pressure before disembarkation, CRRT treatment extension time and coagulation classification were recorded. In experimental group, the blood coagulation function indexes before and after treatment were detected, including prothrombin time (PT), activated partial prothrombin time (APTT), thrombin time (TT) and fibrinogen (Fib). The adverse reactions were recorded, including black stools, arrhythmias and wound bleeding. Results:There were no statistical differences in baseline data, initial transmembrane pressure, transmembrane pressure before disembarkation, CRRT treatment extension time and coagulation classification between two groups ( P>0.05). There were no statistical differences in creatinine, urea nitrogen, β 2-MG, INR, hs-CRP, IL-6, TNF-α, APACHE Ⅱ and SOFA before treatment between two groups ( P>0.05); after treatment, the indexes in both groups were significantly lower than before treatment, and the indexes in experimental group were significantly lower than those in control group: (179.1 ± 41.2) μmol/L vs. (187.1 ± 53.9) μmol/L, (7.3 ± 2.8) mmol/L vs. (9.3 ± 2.5) mmol/L, (2.5 ± 0.6) mg/L vs. (4.2 ± 0.7) mg/L, 1.0 ± 0.3 vs. 1.8 ± 0.5, (8.7 ± 1.1) mg/L vs. (10.6 ± 2.4) mg/L, (21.5 ± 12.7) ng/L vs. (29.5 ± 10.3) ng/L, (20.2 ± 6.1) ng/L vs. (26.6 ± 7.2) ng/L, (12.1 ± 6.9) scores vs. (17.2 ± 5.2) scores and (5.9 ± 1.8) scores vs. (6.8 ± 1.9) scores, and there were statistical differences ( P<0.05). In experimental group, there were no statistical differences in PT, APTT, TT and Fib between before treatment and after treatment ( P>0.05). The incidence of adverse reactions in experimental group was significantly lower than that in control group: 4.03%(5/124) vs. 12.90%(16/124), and there was statistical difference ( χ2 = 6.30, P<0.05). Conclusions:The urokinase along the pipeline under offline status to dissolve dialyzer microthrombus in patients undergoing CRRT is safer, cheaper and more efficient. It can improve the biocompatibility of tissue with dialyzer and pipe, prolong the use time of the dialyzer, and complete renal replacement therapy.

Follicular variant of papillary thyroid carcinoma(FVPTC)is commonly found in young and middle-aged women,and cases in children and adolescents are relatively rare.The main driving genes of FVPTC are the RAS oncogene family or B-Raf proto-oncogene serine/threonine protein kinase(BRAF),and DICER1 gene mutation is rarely reported in this subtype.This article reports a case of recurrent FVPTC with positive DICER1 mutation in an adolescent,aiming to provide reference for the clinical diagnosis and treatment of FVPTC.The patient,a 19-year-old female,underwent total thyroidectomy and central lymph node dissection due to thyroid nodules 5 years ago,and was pathologically diagnosed with follicular tumor of uncertain malignant potential(FT-UMP);after surgery,the patients did not regularly undergo thyroid-stimulating hormone(TSH)suppression therapy and follow-up as instructed.Two months ago,the patient visited the hospital due to enlarged cervical lymph nodes,imaging suggested tumor recurrence with metastases to both lungs and vertebrae,and multigene testing indicated a DICER1 gene mutation.After comprehensive multidisciplinary consultation,bilateral cervical lymph node dissection was performed,and postoperative pathology confirmed the diagnosis of metastatic FVPTC.Te clinicans should focus on rare gene mutations such as DICER1 in the FVPTC patients,and for adolescent patients,follow-up and formulation of individualized treatment plans should be emphasized to achieve early tumor identification and precise intervention,and improve the long-term prognosis of patients.

Thyroid cancer is the most prevalent malignant tumor of the endocrine system,and its incidence has shown a significant upward trend in recent years.Acetylation,an important post-translational protein modification,is involved in regulating gene transcription,cell cycle progression,and invasion ability in various types of thyroid cancers.Additionally,histone deacetylase(HDAC)inhibitors have shown potential in the treatment of thyroid cancer.This article systematically reviews the biological functions and regulatory mechanisms of acetylation in the development and progression of thyroid cancer based on recent literature.Furthermore,it discusses the clinical application prospects of HDAC inhibitors,providing a solid theoretical basis and feasible therapeutic strategies for targeted therapy of thyroid cancer.

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective:To observe the clinical effect of urokinase along the pipeline under offline status to dissolve dialyzer microthrombus in patients undergoing continuous renal replacement therapy (CRRT).Methods:A prospective research method was adopted. A total of 248 CRRT patients with dialyzer microthrombus in Sinopharm-Gezhouba Central Hospital from January 2017 to December 2021 were selected. The patients were divided into experimental group (continued CRRT treatment after urokinase along the pipeline under offline status to dissolve dialyzer microthrombus) and control group (continued CRRT treatment after dialyzer replacement) by random number table method with 124 cases in each group. The baseline data were recorded, including gender, age, primary disease, hemoglobin, platelet count, hematocrit, plasma albumin, D-dimer, fibrinogen, anticoagulant method and symptoms associated with dialyzer microthrombus. The blood indexes were detected before and after treatment of microthrombus, and the symptom scores were performed. The blood indexes included creatinine, urea nitrogen, β 2 microglobulin (β 2-MG), international normalized ratio (INR), hypersensitive C-reactive protein (hs-CRP), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α); and the symptom scores included acute physiology and chronic health status score Ⅱ (APACHE Ⅱ) and (APACHE Ⅱ) and sequential organ failure score. The initial transmembrane pressure, transmembrane pressure before disembarkation, CRRT treatment extension time and coagulation classification were recorded. In experimental group, the blood coagulation function indexes before and after treatment were detected, including prothrombin time (PT), activated partial prothrombin time (APTT), thrombin time (TT) and fibrinogen (Fib). The adverse reactions were recorded, including black stools, arrhythmias and wound bleeding. Results:There were no statistical differences in baseline data, initial transmembrane pressure, transmembrane pressure before disembarkation, CRRT treatment extension time and coagulation classification between two groups ( P>0.05). There were no statistical differences in creatinine, urea nitrogen, β 2-MG, INR, hs-CRP, IL-6, TNF-α, APACHE Ⅱ and SOFA before treatment between two groups ( P>0.05); after treatment, the indexes in both groups were significantly lower than before treatment, and the indexes in experimental group were significantly lower than those in control group: (179.1 ± 41.2) μmol/L vs. (187.1 ± 53.9) μmol/L, (7.3 ± 2.8) mmol/L vs. (9.3 ± 2.5) mmol/L, (2.5 ± 0.6) mg/L vs. (4.2 ± 0.7) mg/L, 1.0 ± 0.3 vs. 1.8 ± 0.5, (8.7 ± 1.1) mg/L vs. (10.6 ± 2.4) mg/L, (21.5 ± 12.7) ng/L vs. (29.5 ± 10.3) ng/L, (20.2 ± 6.1) ng/L vs. (26.6 ± 7.2) ng/L, (12.1 ± 6.9) scores vs. (17.2 ± 5.2) scores and (5.9 ± 1.8) scores vs. (6.8 ± 1.9) scores, and there were statistical differences ( P<0.05). In experimental group, there were no statistical differences in PT, APTT, TT and Fib between before treatment and after treatment ( P>0.05). The incidence of adverse reactions in experimental group was significantly lower than that in control group: 4.03%(5/124) vs. 12.90%(16/124), and there was statistical difference ( χ2 = 6.30, P<0.05). Conclusions:The urokinase along the pipeline under offline status to dissolve dialyzer microthrombus in patients undergoing CRRT is safer, cheaper and more efficient. It can improve the biocompatibility of tissue with dialyzer and pipe, prolong the use time of the dialyzer, and complete renal replacement therapy.