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.

Objective: To investigate the status of antibiotic exposure in third grade primary school students in Shenzhen,so as to provide evidence for the scientific management of antibiotic use and reduction of population health risks. Methods: From 1 September to 30 October 2021, 200 third grade students from 8 primary schools in Luohu District of Shenzhen were selected by cluster random sampling as research subjects. The body composition was measured, urine samples were collected, and the contents of 35 antibiotics in the samples were detected by mass spectrometry. Relevant dietary habit information of the subjects was collected via questionnaires. The Chi square test was used to compare the detection rate of antibiotics among different genders and weight grades. The Logistic regression model was adopted to evaluate the correlation between the target antibiotic detection rate and dietary habits. Results: At least one type of antibiotic was detected in 198 of the subjects with an overall detection rate of 99.0% . Among the 35 target antibiotics, 23 were detected with detection rates ranging from 0.5%-69.5%. Quinolones had the highest detection rate of 86.5% , followed by macrolides and sulfonamides with detection rates of 77.5% and 76.5%, respectively. The detection rate of antibiotics was 98.3% in boys and 100.0% in girls with no statistically significant difference ( χ 2=1.35, P >0.05). The detection rates of quinolones, macrolides, and sulfonamides varied significantly among children with different BMI categories ( χ 2=38.18, 12.45, 9.76 , all P <0.05). The multivariate Logistic regression model analysis showed that the macrolide detection rate was affected by genders( OR =0.42) and the sulfonamide detection rate was significantly correlated with the frequency of dairy product consumption and being overweight( OR =2.01)(both P <0.05). Enrofloxacin was associated with the weekly consumption frequency of livestock meat such as pork, beef and mutton, as well as the weekly consumption frequency of poultry meat such as chicken, duck and goose ( OR = 2.81,2.17,both P <0.05). Trimethoprim was associated with the weekly frequency of drinking pure milk ( OR =5.49, P < 0.05 ). Conclusions Third grade primary school students in Shenzhen are generally exposed to low dose antibiotics. Macrolides, quinolones, and sulfonamides may be associated with the risk of obesity in primary school students.

Huanglian Jiedutang （HLJDT）， as a classical formula for clearing heat and removing toxins， has been widely applied in the treatment of various clinical diseases in recent years， particularly during the fire-heat stage of stroke， where it has attracted considerable attention. Based on previous studies， this paper systematically elaborates on the research progress on the active components of HLJDT， its clinical application in ischemic stroke， and advances in studies on its mechanisms of action. Modern pharmacological studies have demonstrated that HLJDT contains multiple active components， including baicalin， geniposide， and berberine. In the treatment of ischemic stroke， these components exert therapeutic effects through multi-target， multi-pathway， and multi-level mechanisms. Clinical studies have shown that HLJDT can increase cerebral blood flow， reduce cerebral infarct volume， and improve post-stroke physical dysfunction in patients with ischemic stroke. Experimental studies have indicated that HLJDT can improve neurological function scores and increase cerebral perfusion in experimental stroke models. In addition， the mechanisms underlying the anti-ischemic stroke effects of HLJDT may be related to anti-inflammatory and antioxidant activities， promotion of angiogenesis， and regulation of amino acid and energy metabolism. Although existing studies have confirmed that HLJDT exhibits multi-target and multi-pathway synergistic therapeutic characteristics， further large-sample randomized controlled trials are still needed to verify its long-term efficacy and to further elucidate the dynamic interaction network among components， targets， and pathways. Combined with network pharmacology and molecular docking analyses， this study further clarifies the synergistic targets of the core components （berberine， baicalin， and geniposide）， providing a theoretical basis for in-depth research and clinical translation of HLJDT in the treatment of ischemic stroke.

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 compare the clinical features of severe Mycoplasma pneumoniae pneumonia (SMPP) in pediatric intensive care units (PICU) before and after the COVID-19 pandemic.Methods:A retrospective study was conducted in the PICU of Shanghai Children's Hospital. Clinical and laboratory data were collected from medical records of SMPP patients admitted to the PICU before (January to December 2019) and after (March 2023 to February 2024) the COVID-19 pandemic. Patients admitted in 2019 were categorized as the pre-COVID-19 group, while those admitted in 2023-2024 were classified as the post-COVID-19 group.Results:A total of 287 children with SMPP were included, comprising 155 males and 132 females. The pre-pandemic group consisted of 180 cases, while the post-pandemic group had 107 cases. Macrolide-resistant Mycoplasma pneumoniae (MRMP) was detected in 270 cases (94.1%), with no significant difference in MRMP prevalence between the two groups [101 cases (94.4%) vs. 169 cases (93.9%), Z= 0.031, P = 0.861]. The median age of the post-pandemic group was higher than that of the pre-pandemic group [72 (42, 108) months vs. 42 (24, 68) months, Z= 6.438, P < 0.001].Comparisons of complications between the post-pandemic and pre-pandemic groups were as follows: pleural effusion [20 cases (18.7%) vs. 81 cases (45.0%), χ2=20.365, P< 0.001], shock [4 cases (3.7%) vs. 79 cases (43.9%), χ2=52.628, P< 0.001], gastrointestinal dysfunction [2 cases (1.9%) vs. 24 cases (13.3%), χ 2=9.359, P=0.002], liver dysfunction [9 cases (8.4%) vs. 46 cases (25.6%), χ2=12.733, P< 0.001], and renal injury [0 cases vs. 10 cases (5.6%), P=0.015].There was no significant difference in the incidence of respiratory failure [102 cases (95.3%) vs. 172 cases (95.6%), χ2=0.008, P=0.928]. However, the number of cases requiring high-flow oxygen therapy and mechanical ventilation was significantly lower in the post-pandemic group compared to the pre-pandemic group [14 cases (13.3%) vs. 48 cases (26.7%), 21 cases (20.3%) vs. 122 cases (67.8%), all P<0.05].The time from symptom onset to the initiation of tetracycline/quinolone therapy was shorter in the post-pandemic group compared to the pre-pandemic group [7 (3, 10) days vs. 9 (6.3, 11) days, χ2=-3.565, P< 0.001]. The proportion of patients who had already received tetracycline/quinolone therapy before admission to the PICU was significantly higher in the post-pandemic group compared to the pre-pandemic group [25 cases (23.4%) vs. 2 cases (1.1%), χ 2=10.009, P=0.002].Both the total hospital stay and PICU stay were shorter in the post-pandemic group compared to the pre-pandemic group [10.0 (8.0, 14.0) days vs. 15.5 (12.0, 22.0) days, 5 (3.0, 8.0) days vs. 7.0 (5.0, 10.0) days, all P=0.000]. All 7 deaths occurred in the pre-pandemic group, including 5 cases with co-infections and 2 cases with underlying diseases. Conclusions:In the post-COVID-19 era, SMPP cases in the PICU were predominantly observed in children over 5 years old, with a lower incidence of shock, gastrointestinal disorders, liver injury, and kidney injury compared to the pre-pandemic period. Patients with macrolide-resistant Mycoplasma pneumoniae who received timely treatment with tetracycline/quinolones exhibited favorable outcomes.

Qingfeitang， specialized in resolving phlegm to stop cough and producing fluid to moisten dryness， is a classic prescription inherited and developed by physicians of successive generations and has been included in the Catalogue of Ancient Classic Prescriptions （First Batch） published by the National Administration of Traditional Chinese Medicine （TCM） in 2018. Relevant ancient books data and modern literature were collected by bibliometrics to analyze the historic origin， formula composition， herb origin， preparation methods， processing methods， clinical effect， and indications of Qingfeitang. The key information of Qingfeitang was summarized to provide reference for the clinical application of the decoction. In this study， a total of 43 pieces of effective data on relevant ancient literature， including 35 ancient TCM books， were collected based on a systematic collation of relevant historic and modern literature. Results showed that "Qingfeitang" was originated from the "Renshen Qingfeitang" recorded in the Taiping Holy Prescriptions for Universal Relief from the Qing dynasty. The name of "Qinfeitang" was first recorded in the Yeshi Luyanfang written by YE Dalian in the Song dynasty. We suggested the modern dosage and usage of Qingfeitang as follows： "Scutellariae Radix of 5.60 g， Platycodon grandiflora， Poria， Tangerine， Fritillaria， and Cortex Mori of 3.73 g respectively， Angelicae Sinensis Radix， Asparagi Radix， Gardeniae Fructus， Armeniacae Semen Amarum， and Ophiopogonis Radix of 2.61 g respectively， Schisandra of 1 g， and Glycyrrhizae Radix et Rhizoma of 1.12 g， and they were taken 3 times daily. The above formula is recommended to be decocted with 400 mL of water， with 3.37 g ginger and 6 g jujubae fructus， to 320 mL， and taken after a meal， three times per day". Qingfeitang has the effect of resolving phlegm to stop cough and producing fluid to moisten dryness， specialized in treating cough， asthma， rash， and other symptoms in ancient times. Modern applications are mainly focused on the respiratory system， used for treating diseases such as bronchopneumonia and cough. The above research results provide a reference basis for the later development and research of Qingfeitang.

Objective:To investigate whether escin(ESC)and dextromethorphan(DEX)have the protective effects on the progression and symptoms of Alzheimer disease(AD).Methods:The AD model of Caenorhabditis elegans(C.elegans)was established by transgenic amyloid β-protein(Aβ protein).Different concentrations of ESC or DEX or 50 μmol/L memantine(MEM)were used to treat the AD model worms,and their lifespan was detected.The movement ability of AD model C.elegans was evalua-ted by body bending frequency and head swinging frequency.The changes in cognitive functions of AD model C.elegans before and after treatment were detected by chemotaxis experiments.The changes in A βprotein and reactive oxygen species(ROS)content in C.elegans were detected.The changes in gene pathways related to oxidative stress were detected by Real-time quantitative polymerase chain reaction(RT-qPCR).Results:At high dose 1 000 μmol/L,ESC or DEX treatment showed no significant effects on the activity of C.elegans.Compared with untreated worms,the survival time of AD model C.elegans in the 20 μmol/L ESC and 60 μmol/L DEX intervention groups was significantly extended.In the middle stage of AD progression,the body bending frequency and head swinging frequency of AD model worms after ESC or DEX treatment was significantly increased compared with the untreated control group with DEX being more effective in the recovery of head swinging frequency.For the early cognitive function tests,the chemotaxis index of ESC or DEX treated worms was significantly higher than that of the untreated worms,which correlated with marked reductions in the Aβ protein levels.The reactive oxygen species content in the drug intervention group was also lower than that in the control group.RT-qPCR results showed that ESC could inhibit oxidative stress in the AD model C.elegans by a 2-fold upregulation of skn1 expression.Conclusion:ESC and DEX could improve the reductions of movement ability and cognitive function in the AD model worms and delay the aggravation of AD-related symptoms.ESC delays the progression of AD pos-sibly by activating the SKN-1/Nrf2 pathway to protect against oxidative injury in the AD model.

Objective:To compare the clinical effects of using xenogenic bone graft materials with or without collagen components for tooth micro crestal flap-alveolar ridge preservation (MCF-ARP) at molars with severe periodontitis.Methods:This study included patients who visited Department of Periodontology, Peking University School and Hospital of Stomatology from May to November 2023 due to severe periodontitis, requiring tooth extraction and planning for implant-retained prostheses. A total of 24 molars from 24 patients with severe periodontitis were assigned into two groups: the deproteinized bovine bone mineral (DBBM) group and the DBBM with collagen (DBBM-C) group. Twelve affected teeth from 12 patients were included in each group. Both groups underwent minimally invasive tooth extraction and MCF-ARP, with DBBM and DBBM-C implanted in the extraction socket, respectively. Cone beam CT (CBCT) was performed before and 6 months after the surgery for assessing changes of hard tissue. Intraoral scanning was performed before and at 2 weeks, 1 month, 3 months, and 6 months after the surgery for assessing soft tissue contour changes and patterns in both groups.Results:After 6 months of healing, the central bone height increased by (8.35±2.25) mm in the DBBM group and (7.70±2.36) mm in the DBBM-C group. The ridge width at 1 mm apically from the higher bone crest increased by 6.43 (-0.76,7.96) mm in the DBBM group and 6.01 (5.41,7.90) mm in the DBBM-C group. There was no statistically significant difference in the changes of bone height and width between the two groups (all P>0.05). In terms of soft tissue contour changes, although the buccal contour collapses were less in the DBBM-C group, the two groups showed no statistically significant difference (all P>0.05). Conclusions:Within the limitations of this study, it was demonstrated that the clinical effects of MCF-ARP using xenogenic bone graft materials with or without collagen components in molars with severe periodontitis were comparable.

Objective:To establish and validate a multimodal model based on radiomics and deep learning for predicting acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS).Methods:Patients diagnosed with AP from The First Affiliated Hospital of Soochow University, Donghai County People's Hospital and Jintan Affiliated Hospital of Jiangsu University between January 2017 and December 2023 were enrolled. Based on the diagnosis of ARDS within 1 week after admission, the patients were classified into the ARDS group and the non-ARDS group. Patients in the First Affiliated Hospital of Soochow University ( n=406) was used as the training set (non-ARDS group n=212 vs ARDS group n=194), while Donghai and Jintan hospitals served as the test set ( n=175; non-ARDS group n=104 vs ARDS group n=71). Clinical data, laboratory tests and the occurrence of systemic inflammatory response syndrome (SIRS) within 24 hours after admission were collected. Scoring systems such as bedside index for severity in acute pancreatitis (BISAP), Ranson score and modified CT severity index (MCTSI) were calculated. Radiomics features were extracted from three-dimensional CT images to develop a radiomics model based on XGBoost algorithm. At the same time, a deep learning model was constructed using deep convolutional networks to extract deep features. Finally, clinical features and the predictions from the aforementioned models were integrated to establish a multimodal model based on XGBoost algorithm. To enhance model visualization, variable importance ranking and local interpretable visualization were used. The receiver operating characteristic (ROC) curves of the three models and the three scores including BISAP, Ranson and MCTSI were plotted and the area under the curves (AUCs) were calculated to evaluate the prediction performance for ARDS in AP patients, as well as sensitivity and specificity. Results:In the multimodal model for predicting ARDS in AP patients, predictions of the deep learning model and the radiomics model were the most important variables, followed by SIRS, C-reactive protein, procalcitonin, albumin, glucose, creatinine, neutrophil, and Ca 2+. In the training set, the multimodal model achieved an AUC of 0.933 for predicting ARDS in AP patients, higher than the radiomics model (0.727), the deep learning model (0.877), MCTSI (0.870), Ranson (0.620) and BISAP (0.898). In the test set, the model's AUC was 0.916 for predicting ARDS in AP patients, higher than the radiomics model (0.660), the deep learning model (0.864), MCTSI (0.851), Ranson (0.609), and BISAP (0.860). Conclusions:Based on clinical structured data, radiomics and deep learning features, the multimodal model could predict the risk of ARDS in AP patients at an early stage, whose performance is better than the single-modal models and the traditional scoring systems.