Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

OBJECTIVE Establish a quantitative analysis method for salidroside （Sal） in mouse serum， bronchoalveolar lavage fluid （BALF）， and lung tissue， and compare the distribution differences of Sal and its liposomes. METHODS Using high-performance liquid chromatography（HPLC）， Welch Xtimate C18 was used as the chromatographic column， with methanol-formic acid aqueous solution （formic acid volume fraction： 0.1% for serum and BALF detection， 0.2% for lung tissue detection） as the mobile phase， flow rate of 1.0 mL/min， detection wavelength of 275 nm， column temperature of 30 ℃， and injection volume of 10 μL. Serum， BALF， and lung tissue homogenate samples were precipitated with methanol for protein analysis. Twelve mice were randomly divided into Sal group and Sal liposome group， and the concentrations of Sal in serum， BALF， and lung tissue were detected after intragastric administration corresponding liquid medicine at a dose of 300 mg/kg （calculated as Sal） for 0.5 h. RESULTS The linear ranges of Sal in serum， BALF， and lung tissue were 1.56-200.00 μg/mL， 1.56-100.00 μg/mL， and 6.24-400.00 μg/g， respectively （all r＝0.999 9）， with intra-day RSD of 1.35%-3.87%， 1.10%-2.75%， and 1.90%-3.86%， respectively； the inter-day RSD of 3.38%-5.11%， 2.22%- 4.36%， and 2.41%-4.73%， respectively. The relative accuracies were 97.95%-101.61%， 98.29%-101.82%， and 97.41%- 106.94%， respectively. The stability RSDs were all less than 6%. Compared with the Sal group， the Sal liposome group significantly increased the concentration of Sal in BALF of mice （P＜0.05）， and significantly decreased the concentration of Sal in serum and lung tissue （P＜0.05）. CONCLUSIONS The HPLC method established in this study is suitable for quantitative analysis of Sal in mouse serum， BALF， and lung tissue. Sal liposomes have a tendency to distribute towards the alveolar cavity during early administration.

Intravascular large B-cell lymphoma (IVLBCL), a rare subtype of non-Hodgkin lymphoma, is classified as an independent subtype of extranodal diffuse large B-cell lymphoma (DLBCL) in the 2008 World Health Organization (WHO) Classification (Turner et al., 2010). The 5th edition of the World Health Organization (WHO 2022) classification of hematolymphoid tumors retains this subtype (Alaggio et al., 2022). IVLBCL, which is characterized by neoplastic lymphocyte proliferation within the lumen of small blood vessels, tends to invade organs, such as the nervous system, skin, bone marrow (BM), and lung (D'Angelo et al., 2019; Satoh et al., 2019; Vásquez et al., 2019; Fukami et al., 2020).
Humans ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Lymphoma, Large B-Cell, Diffuse/drug therapy* ; Vascular Neoplasms/therapy*

Booster vaccinations are highly recommended in combating the SARS-CoV-2 Omicron variant and its subvariants. However, the optimal booster vaccination strategies and related immune mechanisms with different prior vaccinations are under-revealed. In this study, we systematically evaluated the immune responses in mice and hamsters with different prime-boost regimens before their protective efficacies against Omicron were detected. We found that boosting with Ad5-nCoV, S_WT-2P or S_Omicron-6P induced significantly higher levels of neutralization activities against Omicron variants than CoronaVac and ZF2001 by eliciting stronger germinal center (GC) responses. Specifically, S_Omicron-6P induced even stronger antibody responses against Omicron variants in CoronaVac and Ad5-nCoV-primed animals than non-Omicron-specific vaccines but with limited differences as compared to Ad5-nCoV and S_WT-2P. In addition, boosting with a specific vaccine has the potential to remodel the existing immune profiles. These findings indicated that adenovirus-vectored vaccines and mRNA vaccines would be more effective than other types of vaccines as booster shots in combating Omicron infections. Moreover, the protective efficacies of the vaccines in booster vaccinations are highly related to GC reactions in secondary lymphatic organs. In summary, these findings provide timely important information on prime-boost regimens and future vaccine design.

Objective:To investigate the situation of computed tomography(CT)equipment and socio economic development of various grades and classifications of medical institutions in Jiangsu Province,and to analyze the interrelationship between them.Methods:From October 20,2023 to November 20,2023,a questionnaire survey was conducted on imported and domestic CT equipment of various grades and classifications of medical institutions in 13 prefecture-level cities in Jiangsu Province through online questionnaire survey of"questionnaire star".The gross domestic product(GDP)of each prefecture-level city in Jiangsu province was used as an indicator of measuring the level of socio-economic development in the region.The CT number,the row number of detector,quality of image,the total examination case number of daily average and the daily average case number of single machine examination of medical institutions of various grades and classifications of 13 prefecture-level cities were used to conduct correlation analysis with GDP values of various districts.Results:A total of 910 questionnaires were distributed,and 512 questionnaires were retrieved.There were 482 valid questionnaires in the 512 questionnaires,and the valid rate was 94.15,which involved to 482 various grade and classification institutions of 13 prefecture-level cities in Jiangsu province.The number of imported and domestic CT equipment in the 13 prefecture-level cities of Jiangsu Province positively correlated with the GDP of each city(r=0.882,0.880,P<0.001).The number of imported CT equipment with 64 rows and more than 64 rows,and with less than 64 rows,and the number of domestic CT equipment with 64 rows and more than 64 rows,and with less than 64 rows all positively correlated with the GDP of each city(r=0.880,0.881,0.736,0.897,P<0.05).The total number of daily average of examinations for imported and domestic CT equipment of 13 prefecture-level cities positively correlated with the GDP of each city(r=0.774,0.814,P<0.05).There were no significant difference in the image quality and the daily average case number of single machine examination between the domestic CT equipment and the imported CT equipment(P>0.05).Conclusion:The medical institutions of city with high level of economic development have more quantitative and more high-end CT equipment,and the quality of image of domestic CT equipment is equal to that of imported CT equipment regardless of the high and low level of economic development.

Objective To observe the effects of Yixintai on lipid metabolism and the protein expressions of CPT-1 and CD36 in rats with heart failure;To explore the mechanism of its treatment of heart failure.Methods 106 out of 120 SD rats were selected to establish the heart failure model induced by myocardial infarction by ligating the left anterior descending coronary artery,and 14 rats were selected as the sham-operation group.The successful model rats were randomly divided into model group,trimetazidine group and Yixintai low-,medium-and high-dosage groups,with 14 rats in each group.The administration group was given corresponding drugs by gavage once a day for 4 weeks.LVEF,LVFS,LVIDd and LVIDs were measured by color doppler ultrasonography,the contents of ANP,BNP,LA and FFA in serum were detected by ELISA,the contents of TG,TC,LDL and HDL were detected by automatic biochemical analyzer,HE and Masson staining were used to observe the morphology of myocardial tissue,the expressions of CPT-1 and CD36 protein in myocardial tissue were detected by Western blot.Results Compared with the sham-operation group,LVEF and LVFS in the model group decreased(P<0.05),the LVIDs and LVIDd increased(P<0.05);the contents of serum ANP,BNP,LA,FFA,TG,TC and LDL increased(P<0.05),while the content of HDL decreased(P<0.05),with myocardial edema,irregular arrangement of myocardial fibers,increased inflammatory cell infiltration and collagen fiber deposition;the protein expressions of CPT-1 and CD36 in myocardial tissue decreased(P<0.05).Compared with the model group,the LVEF and LVFS in Yixintai each dosage groups and trimetazidine group increased(P<0.05),LVIDs and LVIDd decreased(P<0.05);the contents of ANP,BNP,LA,FFA,TG,TC and LDL in serum of Yixintai medium-and high-dosage groups and trimetazidine group decreased(P<0.05),the content of HDL increased(P<0.05);myocardial edema was improved,inflammatory cell infiltration was reduced,collagen fiber deposition was reduced,and the protein expressions of CPT-1 and CD36 in myocardial tissue increased(P<0.05).Conclusion Yixintai may improve myocardial energy metabolism and treat heart failure by increasing the expression of CPT-1 and CD36 protein in myocardial tissue and promoting fatty acid β oxidation.

Objective:To construct a sizeable naive human Fab phage display antibody library to screen high-affinity specific antibodies in vitro. Methods:Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of 126 healthy individuals, subsequently reverse-transcribed into cDNA, and used as a template. PCR amplification was performed to obtain the V H from IgG, IgM and light chain κ, λ, separately, with the initial PCR products serving as templates for a second round of PCR. Overlap extension PCR was employed to generate fragments of the κ and λ light chains. These fragments were ligated with the phage vector pNC3, which harbors the variable region 1 of the heavy chain, to construct a recombinant phage plasmid. This plasmid was then electroporated into competent Escherichia Coli TG1 cells to establish a naive human Fab phage display antibody library. One hundred clones were randomly selected for identification and sequencing, and antibody gene polymorphisms were analyzed using the IMGT database and MAFFT software. Recombinant α-hemolysin from Staphylococcus aureus was utilized to screen Fab antibody fragments through biopanning of the antibody library, followed by random selection of phage ELISA-identified clones. The positive clones (antigen A450∶blank control A450≥2.1) were sequenced. Results:Two large naive Fab phage display antibody libraries were successfully constructed, in which the capacity of κ and λ chain antibody libraries were 1.25×10 11 and 1.54×10 11, respectively. The titers for two antibody libraries were 6.04×10 13 CFU/ml and 3.50×10 13 CFU/ml. The positive transformation insertion rates for κ and λ chain antibody libraries were 96% (96/100) and 100% (100/100), respectively. Sequence analysis revealed that all antibody sequences were unique. The amino acid sequences in the skeletal region were relatively conserved. In contrast, significant variations in the length of the complementarity determining region (CDR) were found, and the diversity of amino acid sequence of the complementary determining region was high, especially the CDR3. Analysis using the IMGT database indicated that the sequences exhibited a broad distribution across variable-diversity-joining gene families. After six rounds of panning, specific phage antibodies enrichment targeting α-hemolysin were achieved. A total of 142 monoclonal antibodies were sequenced, yielding 8 distinct Fab antibody sequences. Conclusion:This study successfully constructed two naive human Fab phage display antibody libraries with large capacity and good diversity, which can be used for screening human antibodies for serum epidemiology.

Artificial intelligence (AI) technology enhances the function of acupuncture clinical decision support system (CDSS) by promoting the accuracy of its diagnosis, assisting the formulation of personalized therapeutic regimen, and realizing the scientific and precise evaluation of its therapeutic effect. This paper deeply analyzes the unique advantages of AI-based acupuncture CDSS, including the intelligence and high efficiency. Besides, it points out the challenges of data security, the lack of model interpretation and the complexity of interdisciplinary cooperation in the development of acupuncture CDSS. With the continuous development and improvement of AI technology, acupuncture CDSS is expected to play a more important role in the fields of personalized medicine, telemedicine and disease prevention, and to further advance the efficiency and effect of acupuncture treatment, drive the modernization of acupuncture, and enhance its position and influence in the global healthcare system.
Humans ; Acupuncture Therapy ; Artificial Intelligence ; Decision Support Systems, Clinical

Lumbar disc (LD) herniation and aging are prevalent conditions that can result in substantial morbidity. This study aimed to clarify the mechanisms connecting the LD aging and herniation, particularly focusing on cellular senescence and molecular alterations in the nucleus pulposus (NP). We performed a detailed analysis of NP samples from a diverse cohort, including individuals of varying ages and those with diagnosed LD herniation. Our methodology combined histological assessments with single-nucleus RNA sequencing to identify phenotypic and molecular changes related to NP aging and herniation. We discovered that cellular senescence and a decrease in nucleus pulposus progenitor cells (NPPCs) are central to both processes. Additionally, we found an age-related increase in NFAT1 expression that promotes NPPC senescence and contributes to both aging and herniation of LD. This research offers fresh insights into LD aging and its associated pathologies, potentially guiding the development of new therapeutic strategies to target the root causes of LD herniation and aging.
Intervertebral Disc Displacement/metabolism* ; Humans ; Aging/pathology* ; Nucleus Pulposus/pathology* ; Male ; Female ; Transcriptome ; Middle Aged ; Lumbar Vertebrae/pathology* ; Adult ; Cellular Senescence ; Stem Cells/pathology* ; Aged ; Intervertebral Disc Degeneration/metabolism*

Objective: To construct a deep learning model based on convolutional neural network(CNN)-long short term memory network(LSTM)-Attention to explore the correlation between meteorological and clinical factors and the incidence of ischemic stroke. Methods: A fusion model CNN-LSTM-Attention based on CNN, LSTM, and Attention was constructed by incorporating clinical data and meteorological data of ischemic stroke inpatients. The predictive performance of the model was evaluated by maximum prediction error and root mean square error(RMSE). The impact of different lag days on prediction performance was investigated by selecting lag periods ranging from 1 to 7 days. Results: In both short-term and long-term predictions, the CNN-LSTM-Attention fusion model(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5) showed superior maximum prediction bias and RMSE compared to the LSTM model(short-term: 2.8 and 1.2; long-term: 19.5 and 5.5) and the CNN-LSTM model(short-term: 2.0 and 0.8; long-term: 11.2 and 3.3). After incorporating lag days, the maximum prediction deviation and RMSE for lags of 3 days(short-term: 0.7 and 0.4; long-term: 5.5 and 1.9) and 5 days(short-term: 0.8 and 0.3; long-term: 6.5 and 2.0) in both short-term and long-term forecasts were smaller than lags of 0 days(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5). The maximum prediction deviation and RMSE in the short-term forecast were greater than lag 0 days for both lag 1 days(1.5 and 0.8) and lag 7 days(1.9 and 0.9). In the long-term forecast, the two indicators for lag 1 days(6.8 and 2.4) were lower than those for lag 0 days but higher than those for lag 3 days and 5 days. The maximum prediction deviation for lag 7 days(7.5) was lower than that for lag 0 days, but the RMSE(2.7) is higher than that for lag 0 days. Conclusion The established CNN-LSTM-Attention model demonstrates significant predictive value for the onset of ischemic stroke and can provide reference for the rational allocation of medical resources.