Obesity， a global chronic disease， is associated with adipose tissue dysfunction， which is one of the contributing factors to obesity. The cyclic adenosine monophosphate （cAMP） signaling pathway， a key regulator of lipid metabolism， plays a pivotal role in obesity development. Various of traditional Chinese medicine monomers， such as flavonoids， lignans， phenols， and terpenoids， as well as traditional Chinese medicine compound formulas like Xiaoyao powder， Shengmai powder， and Zexie decoction， can maintain energy homeostasis， balance adipose tissue function， regulate glucose metabolism， improve insulin resistance， and suppress inflammatory responses through cAMP signaling pathway regulation， thereby intervening in lipid metabolism for obesity treatment. Although a substantial amount of basic research has preliminarily elucidated the potential mechanisms by which traditional Chinese medicine intervenes in obesity through the cAMP signaling pathway， clinical translational research remains inadequate. There is an urgent need for large-sample， high-quality randomized controlled trials to validate these findings.

ObjectiveTo investigate the effect of solute carrier family 7 member 5 (SLC7A5) inhibitor JPH203 on renal fibrosis induced by unilateral ureteral obstruction in mice. MethodsSixteen SPF male C57BL/6 mice were randomly divided into the control group and the experimental group, with 8 mice in each group. The mouse model of renal fibrosis was established by unilateral ureteral obstruction. From the third day after surgery, the mice in the control group were intraperitoneally injected with phosphate-buffered saline (PBS) for 11 consecutive days, and the injection dose was 200 μL/d. Mice in the experimental group received intraperitoneal injection of JPH203 (50 mg/kg) every day for 11 days. On day 14, the mice were euthanized, then the kidney tissues were obtained. Hematoxylin and eosin (HE) staining was used to assess renal tissue damage, Masson staining was used to evaluate collagen fiber deposition in the extracellular matrix, and immunohistochemistry was used to detect the levels of fibroblast activation markers α-smooth muscle actin (α-SMA) and collagen type Ⅰ (COL-Ⅰ) in kidney tissues. Western blotting was further performed to measure the expression levels of SLC7A5 and transforming growth factor-β1 (TGF-β1), as well as the phosphorylation levels of mammalian target of rapamycin complex 1 (mTORC1) signaling pathway-related molecules. Real-time quantitative PCR was used to verify changes in the mRNA levels of SLC7A5, α-SMA, and COL-Ⅰ in kidney tissues. ResultsCompared with the control group, the experimental group showed reduced destruction of renal tissue structure and a significantly lower pathological injury score (P<0.05). Additionally, collagen deposition in the extracellular matrix was decreased, and the percentage of collagen fiber area was significantly reduced (P<0.001) in the experimental group. The levels of fibroblast activation markers α-SMA and COL-Ⅰ were significantly lower in the experimental group (both P<0.001). The expression levels of SLC7A5 and TGF-β1 were also significantly decreased (P<0.001), and the phosphorylation levels of mTORC1 signaling pathway-related proteins 4E-BP1 and mTORC1 were significantly reduced (P<0.001). Real-time quantitative PCR confirmed that the mRNA levels of SLC7A5, α- SMA, and COL-Ⅰ in kidney tissues were significantly lower in the experimental group (P<0.001). ConclusionJPH203 may inhibit the progression of renal fibrosis in mice by suppressing SLC7A5 expression, regulating the mTORC1 signaling pathway, and altering fibroblast activation status.

Pancreatic cancer is a highly malignant solid tumor of the digestive system with extremely poor treatment prognosis. Although its incidence rate is low， its mortality rate is extremely high. In recent years， the number of diagnosed cases worldwide has continued to rise， making pancreatic cancer the sixth leading cause of cancer-related deaths globally. Currently， clinical treatment primarily relies on operation and chemotherapy to suppress tumors. However， these approaches face challenges such as suboptimal efficacy， high postoperative recurrence rates， and severe adverse reactions. Therefore， identifying safe and effective treatment modalities remains a pressing challenge for the medical community. In recent years， research on traditional Chinese medicine （TCM） interventions for pancreatic cancer has increased significantly. Multiple studies have shown that single-herb TCM， TCM formulas， and their derived single compounds can regulate the levels of tumor cell signaling pathways through multiple action targets. They inhibit the development and progression of pancreatic cancer by inhibiting cancer cell proliferation， promoting cell apoptosis， inhibiting tumor angiogenesis， reducing cancer cell invasion and migration capabilities， regulating the cell cycle， and modulating the tumor microenvironment. Additionally， TCM has the advantages of significantly enhancing the anticancer efficacy of chemotherapy drugs and causing fewer adverse reactions. However， the specific action mechanisms by which TCM intervenes in pancreatic cancer remain unclear. Further extensive research is still needed to validate the role of regulating classical signaling pathways such as phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， nuclear transcription factor-κB （NF-κB）， notch， and hedgehog in the treatment of pancreatic cancer. Therefore， this paper reviewed Chinese and international studies on TCM intervention in pancreatic cancer through relevant signaling pathways in recent years， summarized the potential action mechanisms of TCM in the treatment of pancreatic cancer， and provided references for related research in the future.

Background: To investigate directional deviations between pilot holes and final pedicle screw trajectories in freehand placement and analyze risk factors for misplacement. While pedicle screws are widely used in thoracolumbosacral surgery, directional deviations between pilot holes and final screw trajectories remain understudied as potential risk factors for misplacement. Methods: Thirty-three patients undergoing posterior fixation were prospectively enrolled. Inertial measurement units (IMUs) tracked the spatial positions of pedicle finders and screwdrivers via custom software. Surgeons (n = 6) were stratified into senior, middle, and junior groups. Analyzed variables included the use of tapping, surgeon experience, spinal deformity status, screw tip morphology, and surgical parameters. Results: Among 198 implanted screws (6.00 ± 2.88/patient), all exhibited trajectory deviations (8.12° ± 3.47°). Tapping significantly reduced deviations (7.23° ± 3.23° vs. 8.87° ± 3.31°, p < 0.01). Senior surgeons achieved smaller deviations (7.34° ± 3.33°) than the middle group (8.60° ± 3.51°, p = 0.039) and junior group (8.68° ± 3.49°, p = 0.022). Multivariate analysis confirmed tapping (p = 0.001) and senior experience (p = 0.023) as protective factors. No significant associations emerged for spinal deformity (8.43° ± 3.73° vs. 7.97° ± 3.35°, p = 0.377), screw tip type (cylindrical, 8.43° ± 3.26° vs. tapered, 8.07 ± 3.51°; p = 0.637), obesity, or surgical position parameters. Conclusions Freehand pedicle screw placement consistently produces trajectory deviations from pilot holes, and surgeon experience and tapping are modifiable protective factors. The IMU-based tracking system enables quantitative surgical motion analysis, suggesting its utility for training optimization and technique standardization.

Objective: To investigate the occurrence of adverse events following immunization (AEFI) with meningococcus-containing vaccine (MCV) in Jiaxing City, Zhejiang Province from 2020 to 2024, so as to provide the evidence for MCV safety monitoring and evaluation. Methods : AEFI surveillance data following MCV vaccination were collected through the Immunization Program Information Management System of the China Disease Prevention and Control Information System, and MCV vaccination data were collected through the Zhejiang Provincial Immunization Program Smart Service Information System. Descriptive analyses were performed to examine the demographic distribution, temporal distribution, and regional distribution of AEFI cases, as well as the doses of MCV administered, the interval between vaccination and AEFI onset, clinical symptoms of AEFI, and outcomes. Results: From 2020 to 2024, a total of 263 AEFI cases were reported in Jiaxing City, with an average annual reported incidence of 27.73/105 doses, showing an increasing trend (P<0.05). Common adverse reactions predominated, accounting for 230 cases (87.45%), with the reported incidence of 24.25/105 doses. Among AEFI cases, 139 (52.85%) were males and 124 (47.15%) were females. The majority of cases were aged <2 years, accounting for 156 cases (59.32%). The number of reported AEFI cases was relatively high in the second and third quarters, with 75 and 77 cases, accounting for 28.52% and 29.28%, respectively, and reported incidence of 29.48/105 doses and 29.71/105 doses, respectively. Haiyan County and Pinghu City reported relatively higher numbers of cases, with 44 cases each, accounting for 16.73% each, and reported relatively higher AEFI incidence of 58.91/105 doses and 40.46/105 doses, respectively. Following the 1st, 2nd, 3rd, and 4th doses of MCV, 136, 111, 14, and 2 AEFI cases were reported, accounting for 51.71%, 42.21%, 5.32%, and 0.76%, respectively, with reported incidence of 30.63/105 doses, 23.24/105 doses, 55.59/105 doses, and 120.63/105 doses, respectively. A total of 198 AEFI cases (75.29%) were reported within 1 day after MCV vaccination. Among common adverse reaction cases, the predominant clinical symptoms were fever and local redness/swelling, occurring in 151 and 49 cases, accounting for 57.41% and 18.63%, respectively, with reported incidence of 15.92/105 doses and 5.17/105 doses, respectively. Conclusions From 2020 to 2024, the average annual reported incidence of AEFI following vaccination with five types of MCV in Jiaxing City was relatively low, but an increasing trend was observed. Common adverse reactions predominated. AEFI cases were concentrated in children aged <2 years, with relatively higher incidence in summer and autumn, as well as in Haiyan County and Pinghu City. Most cases occurred after the first dose of MCV and within 1 day post-vaccination, with fever and local redness/swelling being the main clinical symptoms.

BACKGROUND: Previous evidence showed that ambient air pollution and cardiovascular mortality are related. However, there is a lack of evidence towards the modification effect of long-term lifestyle on the association between short-term ambient air pollution and death from cardiovascular events. METHOD: A total of 14,609 death from major adverse cardiovascular events (MACE) were identified among the China Kadoorie Biobank participants from 2013 to 2018. Ambient air pollution exposure including particulate matter 2.5 (PM_2.5), SO₂, NO₂, CO, and O₃ from the same period were obtained from space-time model reconstructions based on remote sensing data. Case-crossover design and conditional logistic regression was applied to estimate the effect of short-term exposure to air pollutants on MACE mortality. RESULTS: We found MACE mortality was significantly associated with PM_2.5 (relative percent increase 2.91% per 10 µg/m³ increase, 95% CI 1.32-4.53), NO₂ (5.37% per 10 µg/m³ increase, 95% CI 1.56-9.33), SO₂ (6.82% per 10 µg/m³ increase, 95% CI 2.99-10.80), and CO (2.24% per 0.1 mg/m³ increase, 95% CI 1.02-3.48). Stratified analyses indicated that drinking was associated with elevated risk of MACE mortality with NO₂ and SO₂ exposure; physical inactivity was associated with higher risk of death from MACE when exposed to PM_2.5; and people who had balanced diet had lower risk of MACE mortality when exposed to CO and NO₂. CONCLUSIONS The study results showed that short-term exposure to ambient PM_2.5, NO₂, SO₂, and CO would aggravate the risk of cardiovascular mortality, yet healthy lifestyle conduct might mitigate such negative impact to some extent.
Humans ; Cardiovascular Diseases/epidemiology* ; China/epidemiology* ; Male ; Female ; Air Pollution/adverse effects* ; Middle Aged ; Air Pollutants/analysis* ; Particulate Matter/analysis* ; Environmental Exposure/adverse effects* ; Life Style ; Aged ; Adult ; Risk Factors ; Cross-Over Studies ; East Asian People

Objective·To explore the value of combined diaphragm and intercostal muscle ultrasound assessment compared with conventional diaphragm ultrasound in predicting the weaning outcome in mechanically ventilated patients with sepsis.Methods·Mechanically ventilated patients with sepsis,consecutively admitted to the Department of Critical Care Medicine of Affiliated Hospital of Nantong University from October 2022 to December 2023,were selected.During the peri-weaning period,after the patient's sepsis condition improved and the patient passed the spontaneous breathing trial(SBT),ultrasound evaluation of respiratory muscles was performed by ultrasound qualified personnel with ultrasound qualification and experience in bedside ultrasound examination.Diaphragm excursion(DE),thickening fraction of diaphragm(TFD),and thickening fraction of intercostal muscle(TFic)were measured,respectively.The patients were divided into a successful weaning group(n=114)and a failed weaning group(n=24)according to the weaning results.Receiver operating characteristic(ROC)curves were used to analyze the value of diaphragm ultrasound and intercostal muscle ultrasound,alone and in combination,in predicting ventilator weaning outcome.Results·TFic and TFic/TFD were significantly higher in the failed weaning group during SBT than in the successful weaning group(all P<0.05).The areas under the ROC curve(AUROC)of DE,TFD,and TFic to predict weaning failure in mechanically ventilated patients with sepsis during the period of SBT were 0.689(0.591?0.776),0.657(0.557?0.747),and 0.769(0.676?0.846),respectively,whereas the combined indexes TFic/TFD and TFic&TFD_mix had AUROCs of 0.867(0.786?0.925)and 0.860(0.778?0.920),respectively.TFic/TFD with a cutoff value of>0.95 had a sensitivity of 86.7%and a specificity of 75.3%in predicting weaning failure,and TFic&TFD_mix with a cutoff value of>0.13 had a sensitivity of 86.6%and a specificity of 80.9%in predicting weaning failure.Moreover,the intercostal muscle ultrasonography method had an intra-observer intraclass correlation coefficient(ICC)of 0.890 and an extra-observer ICC of 0.876 for measurement reliability,which were both rated as good(P<0.001).Conclusion·Combined diaphragm and intercostal muscle ultrasonography provides a more comprehensive picture of the patient's overall respiratory muscles,and has a higher guiding value in predicting the weaning outcomes in mechanically ventilated patients with sepsis than diaphragm ultrasound alone.

ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.

Cleft lip and palate (CLP) are common congenital craniofacial developmental disorders with a high incidence rate among newborns. Due to the influence of the cleft, an increased frequency of anomalies occurs in cleft-adjacent teeth. This review summarizes the abnormality of tooth development and malposition characteristics of the central incisors, lateral incisors, and canines adjacent to the alveolar cleft in CLP patients and treatment progress in order to provide information for related clinical treatment and research. The literature reveals that central incisors, lateral incisors, and canines adjacent to the alveolar cleft exhibit various types and degrees of abnormalities. The alveolar cleft-adjacent central incisors show significantly smaller mesiodistal diameters, root lengths, and root volumes compared to the non-alveolar cleft side, while the crown-to-root ratio is larger. Further, they are inclined distally and lingually compared to the non-alveolar cleft side. The alveolar cleft-adjacent lateral incisor is the most common missing or impacted tooth and is often affected by microdontia. The total length and root length of the alveolar cleft-adjacent canines are significantly smaller, while the crown-to-root ratio is larger on the alveolar cleft side. In addition, they are inclined mesially and buccally compared to the non-alveolar cleft side. Further, they are higher positioned and located closer to the midline. For developmental anomalies, impacted central incisors can be addressed by orthodontic space preparation to facilitate eruption or surgical crown exposure and orthodontic traction. Treatment of missing lateral incisors can involve orthodontic closure of the gap or preservation of the space for subsequent prosthetic restoration. When lateral incisors present with developmental defects, such as microdontia, peg-shaped teeth, or invaginated teeth, a comprehensive decision is necessary to determine whether to retain and restore or extract the malformed lateral incisors. Treatment of impacted canines after bone grafting involves either extraction or traction to facilitate the eruption of the impacted tooth. For malposition, presurgical orthodontic treatment can correct teeth with excessive inclination or rotation on the cleft side to improve the effectiveness of bone grafting surgery. Postsurgical orthodontic treatment can enhance the stability of bone grafting surgery. Although numerous studies have explored the dental characteristics of patients with CLP, the lack of applicability and specificity still need to be elucidated, thus indicating the need for further research.

Digital screening incorporates technology into the disease assessment process and plays a significant role in large-scale screening for mild cognitive impairment(MCI)within communities.This consensus systematically reviews and evaluates the existing evidence regarding the effectiveness of digital screening for MCI in these settings.The working group has integrated the perspectives of experts from diverse fields, including clinical practice, scientific research, and industry, to clarify the definitions of digital-related terms.Furthermore, the consensus presents 12 recommendations that outline the main classifications of tools, basic elements to consider, target individuals, screening frequency, and management strategies for digital screening, while also indicating future development directions.The aim is to optimize early diagnosis and treatment strategies for MCI and to promote the advancement of digital screening in cognitive health management for middle-aged and older adults in community settings.