BACKGROUND:Carboxylesterase 1 and inflammatory factors play a crucial role in regulating lipid metabolism and glucose homeostasis.However,the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats remain to be revealed. OBJECTIVE:To investigate the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats. METHODS:Thirty-two 8-week-old male Sprague-Dawley rats were randomly divided into normal control group(n=12)and modeling group(n=20)after 1 week of adaptive feeding.Rat models of type 2 diabetes mellitus were prepared by high-fat diet and single injection of streptozotocin.After successful modeling,the rats were randomly divided into diabetic control group(n=6),moderate-intensity exercise group(n=6)and high-intensity intermittent exercise group(n=6).The latter two groups were subjected to treadmill training at corresponding intensities,once a day,50 minutes each,and 5 days per week.Exercise intervention in each group was carried out for 6 weeks.After the intervention,ELISA was used to detect blood glucose and blood lipids of rats.The morphological changes of skeletal muscle were observed by hematoxylin-eosin staining.The mRNA expression levels of carboxylesterase 1 and inflammatory cytokines were detected by real-time quantitative PCR.The protein expression levels of carboxylesterase 1 and inflammatory cytokines were detected by western blot and immunofluorescence. RESULTS AND CONCLUSION:Compared with the normal control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,insulin resistance index in the diabetic control group were significantly increased(P<0.01),insulin activity was decreased(P<0.05),and the mRNA and protein levels of carboxylesterase 1,never in mitosis gene A related kinase 7(NEK7)and interleukin 18 in skeletal muscle tissue were upregulated(P<0.05).Compared with the diabetic control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,and insulin resistance index in the moderate-intensity exercise group and high-intensity intermittent exercise group were down-regulated(P<0.05),and insulin activity was increased(P<0.05).Moreover,compared with the diabetic control group,the mRNA level of NEK7 and the protein levels of carboxylesterase 1,NEK7 and interleukin 18 in skeletal muscle were decreased in the moderate-intensity exercise group(P<0.05),while the mRNA levels of carboxylesterase 1,NEK7,NOD-like receptor heat protein domain associated protein 3 and interleukin 18 and the protein levels of carboxylesterase 1 and interleukin 18 in skeletal muscle were downregulated in the high-intensity intermittent exercise group(P<0.05).Hematoxylin-eosin staining showed that compared with the diabetic control group,the cavities of myofibers in the moderate-intensity exercise group became smaller,the number of internal cavities was reduced,and the cellular structure tended to be more intact;the myocytes of rats in the high-intensity intermittent exercise group were loosely arranged,with irregular tissue shape and increased cavities in myofibers.To conclude,both moderate-intensity exercise and high-intensity intermittent exercise can reduce blood glucose,lipid,insulin resistance and carboxylesterase 1 levels in type 2 diabetic rats.Moderate-intensity exercise can significantly reduce the expression level of NEK7 protein in skeletal muscle,while high-intensity intermittent exercise can significantly reduce the expression level of interleukin 18 protein in skeletal muscle.In addition,the level of carboxylesterase 1 is closely related to the levels of NEK7 and interleukin 18.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Ecological cultivation is an important way for the sustainable production of traditional Chinese medicine in the context of the carbon peaking and carbon neutrality goals. Facility cultivation and simulative habitat cultivation modes have been developed and applied to develop the endangered Dendrobium huoshanense on the basis of protection. However, the differences in the greenhouse gas emissions and global warming potential of these cultivation modes remain unexplored, which limits the accurate assessment of carbon-friendly ecological cultivation modes of D. huoshanense. Greenhouse gas emission flux monitoring based on the static chamber method provides an effective way to solve this problem. Therefore, this study conducted a field experiment in the facility cultivation and simulative habitat cultivation modes at a D. huoshanense cultivation base in Dabie Mountains, Anhui Province. From April 2023 to March 2024, samples of greenhouse gases were collected every month, and the concentrations of CO_2, CH_4, and N_2O of the samples were then detected by gas chromatography. The greenhouse gas emission fluxes, cumulative emissions, and global warming potential were further calculated, and the following results were obtained.(1)The two cultivation modes of D. huoshanense showed significant differences in greenhouse gas emission fluxes, especially the CO_2 emission flux, with a pattern of facility cultivation>simulative habitat cultivation [(35.60±11.70)mg·m~(-2)·h~(-1) vs(2.10±4.59)mg·m~(-2)·h~(-1)].(2) The annual cumulative CO_2 emission flux in the case of facility cultivation was significantly higher than that of simulative habitat cultivation[(3 077.00±842.00)kg·hm~(-2) vs(221.00±332.00)kg·hm~(-2)], while no significant difference was found in annual cumulative CH_4 and N_2O emission fluxes.(3) The facility cultivation mode had a significantly higher global warming potential than the simulative habitat cultivation mode [(3 053.00±847.00)kg·hm~(-2) vs(196.00±362.00)kg·hm~(-2)]. Overall, the simulative habitat cultivation of D. huoshanense has obvious carbon-friendly characteristics compared with facility cultivation, which is in line with the concept of ecological cultivation of medicinal plants. This study is of great reference significance for the implementation and promotion of the ecological cultivation mode of D. huoshanense under carbon peaking and carbon neutrality goals.
Dendrobium/chemistry* ; Greenhouse Gases/metabolism* ; Carbon/analysis* ; Ecosystem ; Carbon Dioxide/metabolism* ; China ; Global Warming

OBJECTIVE: To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk. METHODS: A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk. RESULTS: A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses. CONCLUSION The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/etiology* ; ABO Blood-Group System ; Adult ; Prospective Studies ; Risk Factors ; Young Adult

Objective:To identify the dosimetric and radiobiological differences of three radiotherapy techniques of whole breast irradiation with simultaneous integrated boost (WBI-SIB) following breast-conserving surgery for early breast cancer (EBC).Methods:The data of 20 patients with early left-sided breast cancer who received radiotherapy following breast-conserving surgery were retrospectively analyzed. Three radiotherapy techniques, namely hybrid intensity-modulated radiotherapy (HIMRT), intensity-modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT), were redesigned with the same prescription dose and target conditions. Then, doses to target volume (TV) and organs at risk (OAR), along with the normal tissue complication probability (NTCP) and secondary cancer risk (SCR) for specific organs, were compared.Results:Compared to HIMRT and IMRT, VMAT led to significant decreases in various dosimetric indices of the affected lung and heart and increases in the Dmean doses to the healthy lung and healthy breast and V5 Gy doses to the healthy breast, with the differences being significantly different ( P < 0.05). The average NTCP values of cardiac death, radiation pneumonitis, and pulmonary fibrosis induced by VMAT were 0.41%, 1.62%, and 23.59%, respectively, significantly lower than those caused by other two techniques ( P < 0.05). No statistical differences were found in 10 dosimetric indices of OAR between IMRT and HIMRT, while the NTCP analysis suggested that the risks of cardiac death ( t = 2.70, P < 0.05) and pulmonary fibrosis ( t =4.11, P < 0.05) induced by IMRT were slightly lower than those caused by HIMRT. In addition, the excess absolute risk (EAR) to the healthy lung posed by VMAT was 1.65 and 1.83 times those induced by HIMRT and IMRT, respectively ( z = -3.92, t = -6.43, P < 0.05). In contrast, the EAR to the healthy breast induced by VMAT was 2.79 and 2.65 times those posed by HIMRT and IMRT, respectively ( z = -3.21, -3.70, P < 0.05). Conclusions:Among three intensive-modulated radiotherapy techniques of WBI-SIB for EBC, VMAT provides the optimal protection for the heart and affected lung but leads to the highest SCR to the healthy lung and breast. When VMAT is employed for young EBC patients or those with normal cardiopulmonary function, special attention should be paid to reducing low-dose irradiations to the healthy breast and thereby minimizing SCR. In contrast, VMAT might be more favorable for patients with pronounced cardiopulmonary risks or aged patients.

Objective:To investigate the causal correlation between depression and stress urinary incontinence(SUI)using Mendelian randomization(MR)analysis.Methods:We searched the FinnGen Consortium database for genome-wide association studies(GWAS)on depression and obtained 23 424 case samples and 192 220 control samples,with the GWAS data on SUI provided by the UK Biobank,including 4 340 case samples and 458 670 control samples.We investigated the correlation between depression and SUI based on the depression data collected from the Psychiatric Genomics Consortium(PGC).We employed inverse-variance weighting as the main method for the MR study,and performed sensitivity analysis to verify the accuracy and stability of the findings.Results:Analysis of the data from the UK Biobank and FinnGen Consortium showed that depression was significantly correlated with an increased risk of SUI(P=0.005),but not SUI with the risk of depression(P=0.927).And analysis of the PGC data verified the correlation of depression with the increased risk of SUI(P=0.043).Conclusion:Depression is associated with an increased risk of SUI,while SUI does not increase the risk of depression.

Objective:To explore the potential causal relationship between gut microbiota and teratozoospermia.Methods:We searched the database of Genome-Wide Association Study(GWAS)for gut microbiota-and teratozoospermia-related data.We used gut microbiota as an exposure factor,determined the instrumental variables according to the GWAS data on 18 340 participants released by the MiBioGen Alliance,and derived the outcome variables from the European data on teratozoospermia,with a sample size of 85 716,including 915 cases and 209 006 controls.Using inverse-variance weighting(IVW),MR-Egger regression and the weighted median estimator(WME),we performed two-sample Mendelian randomization(MR)analysis on the retrieved data,and estimated the causal relationship between gut microbiota and teratozoospermia based on the β value.Results:Two-sample MR analysis indicated that the class Erysipelotrichia,family Erysipelotrichaceae,family Streptococcaceae,genus Coprococcusl,genus Ruminococcaceae UCG009,genus Streptococcus,order Clostridialesm and order Erysipelotrichales were causally related with the increased risk,while the family Porphyromonadaceae with the decreased risk of teratozoospermia.Conclusion:The class Erysipelotrichia,family Erysipe-lotrichaceae,family Streptococcaceae,genus Coprococcusl,genus Ruminococcaceae UCG009,genus Streptococcus,order Clostridia-lesm and order Erysipelotrichales are one of the causes of teratozoospermia,related to the increased risk of the condition,while the family Porphyromonadaceae has a protective effect on sperm morphology,reducing the risk of teratozoospermia.

Osteosarcoma is a common primary malignant bone tumor in adolescents and children,characterized by a high recurrence rate and metastasis,making its treatment extremely challenging.Traditional treatment modalities,including surgery,radiation therapy,and chemotherapy,can alleviate symptoms to some extent,but improving long-term survival rates remains a pressing issue.With the continuous development of immunotherapy,breakthroughs have been made in the research of tumor immune microenvironment and the application of immunotherapy in recent years,providing new perspectives and strategies for osteosarcoma treatment.Currently,immunotherapy strategies include tumor vaccines,targeted cytokines,immune checkpoint inhibition,adoptive cell therapy,combination therapy,etc.,significantly enhancing patient immune responses from the aspects of boosting immunity,overcoming immune tolerance,and preventing immune evasion,thereby effectively improving the patients'survival rates and prognosis.This review aims to systematically introduce the immune microenvironment of osteosarcoma and discuss the latest advances in immunotherapy in clinical translational research of osteosarcoma.By deeply understanding the immune characteristics of osteosarcoma and corresponding treatment methods,it is hopeful to provide more effective strategies for personalized treatment,contributing to the improvement of the patients' survival rates and prognosis.

The metal element probe labeling strategy involves marking biomolecules with metal elements as signal-generating units and performing quantitative analysis of biomolecules through inductively coupled plasma mass spectrometry(ICP-MS).The combination of metal element labeling and ICP-MS technology offers significant advantages,including high sensitivity,high resolution,and low matrix effects,thereby expanding the approaches for quantitative analysis of biomolecules.This strategy has been widely applied in bioanalysis for broad purposes including disease diagnosis(or predication)and environmental regulation.Such an approach enables sensitive analysis and simultaneous detection of multiple components while overcoming interference from complex biological environments,presenting substantial application prospects.Over the past two decades,numerous research works have been reported in this area.Based on the abovementioned characteristics of the metal element labeling strategy,in this paper,the development of current labeling strategies based on metal element probe labeling were systematically reviewed,the advantages and disadvantages were discussed,the applications in high-sensitivity analysis and multiplex detection of biomolecules were reviewed,and an outlook on future development trends of this technology was provided.