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.

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.

To analyze inpatient mortality cases in a tertiary general hospital in Beijing based on diagnosis-related groups (DRG), with the aim of providing references for healthcare quality management.

In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN) - convolutional block attention module (CBAM) - bidirectional long short-term memory network (BiLSTM) muscle strength prediction model to fully explore the spatial and temporal features of the data and simultaneously suppress useless features, and finally achieve the improvement of the accuracy of the muscle strength prediction model. To verify the effectiveness of the model proposed in this paper, the model in this paper is compared with traditional models such as support vector machine (SVM), random forest (RF), convolutional neural network (CNN), CNN - squeeze excitation network (SENet), MSCNN-CBAM and MSCNN-BiLSTM, and the effect of muscle strength prediction by each model is investigated when the hand force application changes from 40% of the maximum voluntary contraction force (MVC) to 60% of the MVC. The research results show that as the hand force application increases, the effect of the muscle strength prediction model becomes worse. Then the ablation experiment is used to analyze the influence degree of each module on the muscle strength prediction result, and it is found that the CBAM module plays a key role in the model. Therefore, by using the model in this article, the accuracy of muscle strength prediction can be effectively improved, and the characteristics and laws of hand muscle activities can be deeply understood, providing assistance for further exploring the mechanism of hand functions .
Neural Networks, Computer ; Humans ; Hand Strength/physiology* ; Support Vector Machine ; Muscle Strength/physiology* ; Hand/physiology* ; Convolutional Neural Networks

Tumors exhibit abnormal glucose metabolism, consuming excessive glucose and excreting lactate, which constructs a tumor microenvironment that facilitates cancer progression and disrupts immunotherapeutic efficacy. Currently, tumor glucose metabolic dysregulation to reshape the immunosuppressive microenvironment and enhance immunotherapy efficacy is emerging as an innovative therapeutic strategy. However, glucose metabolism modulators lack specificity and still face significant challenges in overcoming tumor delivery barriers, microenvironmental complexity, and metabolic heterogeneity, resulting in poor clinical benefit. Nanomedicines, with their ability to selectively target tumors or immune cells, respond to the tumor microenvironment, co-deliver multiple drugs, and facilitate combinatorial therapies, hold significant promise for enhancing immunotherapy through tumor glucose metabolic reprogramming. This review explores the complex interactions between tumor glucose metabolism-specifically metabolite transport, glycolysis processes, and lactate-and the immune microenvironment. We summarize how nanomedicine-mediated reprogramming of tumor glucose metabolism can enhance immunotherapy efficacy and outline the prospects and challenges in this field.

Objective:To assess the safety and efficacy of thiotepa, busulfan, and etoposide (TBE) conditioning followed by autologous hematopoietic stem-cell transplantation (TBE auto-HSCT) in primary central nervous system lymphoma (PCNSL) patients.Methods:Clinical data from 27 PCNSL patients who received TBE auto-HSCT at the Fifth Medical Center of PLA General Hospital between November 1, 2021, and April 30, 2024, were retrospectively analyzed.Results:Twenty-seven patients [16 males, 11 females; median age 57 (23–72) years] were included, with 12 (44.4%, 12/27) over 60. Twenty-five had newly diagnosed PCNSL and 2 were relapsed. Median time from diagnosis to transplantation was 6.9 (5.0–10.0) months. TBE auto-HSCT increased complete remission (CR) rate from 63.0 to 96.3% ( P= 0.005), and 9 of 10 patients in partial remission achieving CR post-transplant. Median follow-up was 24.5 months (range 2.0–36.0). Two-year progress-free and OS rates were (87.2±6.9) % and (88.6±6.2) %, respectively. Common grade 3 nonhematologic adverse events were diarrhea (18.5%, 5/27) and bacterial infections (14.8%, 4/27). One patient (64 years old) died from carbapenem-resistant Enterobacteriaceae infection within 2 months post-transplant, yielding a 100-day treatment-related mortality of 3.7% (1/27) . Conclusion:TBE-conditioned high-dose chemotherapy with auto-HSCT is effective, safe, and well-tolerated in PCNSL patients, including the elderly.

Objective:To investigate the impact of the development of the digital economy on the unfair of healthcare resource allocation in China.Methods:The sample data from 23 provinces across the country from 2015 to 2021 were tested using econometric regression.Results:It is found that the development of the digital economy will exacerbate the unfairness of the allocation of medical and health resources in China.Further analysis results show that there are regional differences in the impact of digital economy on the distribution of medical resources,which is mainly manifested in the central and western regions,but weaker in the eastern region,and this impact will weaken with the improvement of the development level of digital economy.At the same time,it also explores the possible influencing mechanisms.It is found that due to the demand-oriented allocation of medical and health resources,the development of digital economy will lead to more unfair allocation of medical resources by affecting economic level,education level and income gap.Conclusion:In the face of the challenges brought by the digital economy to the allocation of medical and health resources,effective measures need to be taken to solve them,thus laying a solid foundation for achieving the goals of comprehensive health coverage and common prosperity.

ObjectiveTo explore the medication patterns of Professor Zhang Farong in treating type 2 diabetes mellitus （T2DM） and the clinical efficacy of his core prescription. MethodsClinical case records of T2DM treated by Professor Zhang Farong were collected to establish a prescription database. Frequency statistics， visual analysis， and factor analysis were employed to investigate the characteristics and principle of the prescriptions， and a core prescription was derived. A randomized controlled trial was conducted， enrolling 60 T2DM patients with the dampness-heat syndrome. The patients were allocated into an observation group （core prescription + metformin） and a control group （metformin alone）， with both groups undergoing a 12-week treatment course. Changes in TCM symptom scores， glucose metabolism indicators ［fasting plasma glucose （FPG）， 2-hour postprandial blood glucose （2 hPG）， and glycated hemoglobin （HbA1c）］， pancreatic function indicators ［fasting C-peptide （FCP）， 2-hour postprandial C-peptide （2 hCP）， and area under the C-peptide curve （AUCcp）］， and lipid profiles were measured before and after treatment. The adverse reactions were observed and recorded. ResultsA core prescription named modified Gegen Qinlian Decoction was formulated， comprising Puerariae Lobatae Radix， Coptidis Rhizoma， Scutellariae Radix， Astragali Radix， Lycii Cortex， Mori Cortex， Jineijin Endothelium Corneum Gigeriae Galli， Rehmanniae Radix Praeparata， Atractylodis Rhizoma， Polygonati Rhizoma， and Pogostemonis Herba. The clinical trial results showed that both groups had significantly decreased FPG， 2 hPG， and HbA1c （P0.05）， and the observation group outperformed the control group in recovering the level of HbA1c （P0.05）. After treatment， both groups had declined TCM symptoms scores （P0.05）， and the declines in the observation group were larger than those in the control group （P0.05）. After treatment， the TC and LDL-C levels declined in the observation group （P 0.05）， while the lipid levels showed a decreasing trend with no statistically significant difference in the control group. After treatment， both groups showed increases in FCP and AUCcp （P0.05）， and the 2 hCP in both groups presented a recovering trend with no statistically significant difference. There was no statistically significant difference in the incidence of adverse reactions between the two groups. ConclusionModified Gegen Qinlian Decoction embodies Professor Zhang Farong's academic philosophy of treating consumptive thirst by tonifying the spleen and kidney， replenishing Qi and Yin， clearing deficiency and heat， unblocking stasis in collaterals， and addressing both deficiency and stasis. The combination of the core prescription with metformin alleviates clinical symptoms in T2DM patients with the dampness-heat syndrome， demonstrating potential effects in restoring pancreatic islet function， regulating blood glucose， and improving lipid profiles. It serves as a therapeutic option for T2DM in the patients with the dampness-heat syndrome under syndrome differentiation， meriting broader clinical application.

BACKGROUND: Parental myopia is an important risk factor for myopia in Chinese children and adolescents. This study aimed to assess the influence of parental myopia and the severity of myopia on offspring and to evaluate whether adopting healthy lifestyles can mitigate the effects of parental myopia on offspring. METHODS: This cross-sectional study analyzed data from children and adolescents aged 6-17 years with complete vision assessments and parental history of myopia from six provinces in China during 2013-2014. Parental demographic information, children's outdoor activity time, sleep time, and sedentary time were collected via questionnaire. Parental myopia was classified as no myopia, paternal myopia, maternal myopia, and both. The offspring were categorized into 10 groups based on parental myopia prescription. Associations of the above factors with myopia in children and adolescents were evaluated by logistic regression analysis. RESULTS: Among 40,864 children and adolescents (50.3% boys and 49.7% girls), 22,537 (55.2%) were diagnosed with myopia. In comparison to offspring devoid of parental myopia, children with one parent affected by myopia exhibited odds ratio (OR) of 1.75 (95% confidence interval [CI]: 1.62-1.88) for myopia, while those with both parents affected showed OR of 2.27 (95% CI: 2.02-2.55) after adjusted for lifestyle factors. The likelihood of myopia in offspring increased with increasing severity of parental myopia, with a 3.08-fold increase in risk observed when both parents presented high myopia. Nonetheless, children adhering to two or more healthy lifestyle factors demonstrated a diminished risk of myopia compared with those with fewer than two lifestyle factors, especially among offspring of non-myopic or mildly myopic parents. CONCLUSIONS Parental myopia has a dose-dependent association with their offspring. Healthy lifestyles may reduce the impact of parental factors on myopia in offspring. The observed associations suggest that although the genetic burden of parental myopia cannot be ignored, healthy lifestyles and nurturing are also very important.
Humans ; Myopia/epidemiology* ; Child ; Male ; Female ; Adolescent ; Cross-Sectional Studies ; China/epidemiology* ; Parents ; Surveys and Questionnaires ; Risk Factors

Telepsychiatry,as an innovative healthcare model that utilizes remote communication technology for the diagnosis,treatment,counseling,and management of mental illnesses,not only has seen rapid development during the coronavirus disease 2019 pandemic,but also has played a crucial role in alleviating the global shortage of mental health resources.In recent years,with the rapid advancement of digital technology,emerging technologies such as artificial intelligence,virtual reality,and wearable digital health devices have demonstrated broad application prospects in the field of telepsychiatry.This article systematically reviews the relevant literatures on telepsychiatry,delving into its concepts,major tools,and clinical applications,providing insights for researchers and decision-makers in the field,and ultimately promoting the widespread adoption of telepsychiatry.