Chronic fatigue syndrome (CFS) is a common problem in military maritime navigation, which greatly affects the safety of military missions. The use of animal models to carry out research on the mechanism of CFS and treatment measures is a common method. This paper systematically introduced the construction methods of CFS models such as single-factor and multi-factor models, summarized common evaluation indicators of CFS, including behavioral and biochemical indicators, and summed up key characteristics of CFS animal models in military oceanic navigation combined with common causes of CFS in military contexts, such as prolonged continuous work, high-intensity physical activity, sleep deprivation, psychological stress, and extreme environmental conditions. The key characteristics of the animal models included, but not limited to, chronic fatigue, sleep disorders, impaired cognitive function, psychological stress responses, and abnormal biochemical indicators. Furthermore, this article identified future research directions for CFS animal models in military oceanic navigation to enhance the application value of the models and provide robust support for the health protection and disease prevention of military personnel.

Objective To compare the benefits and drawbacks of primary patch expansion versus pericardial tube right ventricular-pulmonary artery connection in patients diagnosed with pulmonary atresia with ventricular septal defect (PA/VSD). Methods A retrospective study was conducted on patients diagnosed with PA/VSD who underwent primary right ventricular-pulmonary artery connection surgery at our center between 2010 and 2020. Patients were categorized into two groups based on the type of right ventricular-pulmonary artery connection: a pericardial tube group and a patch expansion group. Clinical data and imaging findings were compared between the two groups. Results A total of 51 patients were included in the study, comprising 31 males and 20 females, with a median age of 12.57 (4.57, 49.67) months. The pericardial tube group included 19 patients with a median age of 17.17 (7.33, 49.67) months, while the patch expansion group consisted of 32 patients with a median age of 8.58 (3.57, 52.72) months. In both groups, the diameter of pulmonary artery, McGoon index, and Nakata index significantly increased after treatment (P<0.001). However, the pericardial tube group exhibited a longer extracorporeal circulation time (P<0.001). The reoperation rate was notably high, with 74.51% of patients requiring further surgical intervention, including 26 (81.25%) patients in the patch expansion group and 12 (63.16%) patients in the pericardial tube group. No statistical differences were observed in long-term cure rates or mortality between the two groups (P＞0.005). Conclusion In patients with PA/VSD, both patch expansion and pericardial tube right ventricular-pulmonary artery connection serve as effective initial palliative treatment strategies that promote pulmonary vessel development and provide a favorable foundation for subsequent radical operations. However, compared to the pericardial tube approach, the patch expansion technique is simpler to perform and preserves some intrinsic potential for pulmonary artery development, making it the preferred procedure.

Through network pharmacology and molecular docking technology, combined with in vitro experiment verification, we explored the mechanism of action of Porana racemosa Roxb. (PRA) in the treatment of rheumatoid arthritis (RA), and provided a modern pharmacological basis for the treatment of RA by PRA. The potential target of chemical components in the analyzed moth rattan was predicted by Swiss Target Prediction database; OMIM, GeneCards, TTD and Disgenet databases were used to search the disease targets of RA; the protein interaction (PPI) network and medicine-composition-target network were constructed using STRING database and Cytoscape software; GO (gene ontology) functional enrichment and KEGG (kyoto encyclopedia of genes and genomes) pathway analysis were carried out using DAVID database, and molecular docking software was used to dock the potentially active ingredients of PRA and core targets; finally, MH7A cells were selected for cell viability, scratch healing and mRNA expression level analysis of key genes to explore the effects of PRA and their potentially active ingredients on the proliferation, migration and apoptosis of MH7A cells. In this study, a total of 628 potentially active ingredient targets, 1 890 RA targets and 235 intersection targets were identified. It was screened that the potentially active ingredients of RA treatment by PRA were ethylcaffeate, N-p-coumaroyltyramine, 9,12,15-octadecatrienoic acid, methyl ester and so on, and the core targets involved tumor necrosis factor (TNF), matrix metalloproteinase 9 (MMP9), prostaglandin-endoperoxide synthase 2 (PTGS2) and so on. 1 200 GO entries and 166 KEGG pathway entries were obtained from the enrichment analysis; molecular docking results showed that N-p-coumaroyltyramine and ethylcaffeate had good binding activity with TNF, MMP9, cysteine-aspartate protease 3 (CASP3), PTGS2, B-cell lymphoma 2 (BCL2) proteins. In vitro experiments showed that PRA, ethylcaffeate and N-p-coumaroyltyramine could inhibit the proliferation, migration and invasion of MH7A cells, up-regulate the expression of apoptosis-related gene CASP3 mRNA, and down-regulate the expression of MMP9, PTGS2 and BCL2 mRNA, and it can also down-regulate the expression of phosphatidylinositol 3-kinase (PI3K) and protein kinase B (AKT) mRNA and PI3K and p-AKT proteins. This study preliminarily revealed that the treatment of RA by PRA may be related to proliferation, migration, invasion, apoptosis and regulation of PI3K/AKT signaling pathway.

ObjectiveThis study aimed to investigate the effects of 4-week high-intensity interval training (HIIT) on synaptic plasticity in the prefrontal cortex (PFC) of rats exposed to chronic unpredictable mild stress (CUMS), and to explore its potential mechanisms. MethodsA total of 48 male Sprague-Dawley rats were randomly divided into 4 groups: control (C), model (M), control plus HIIT (HC), and model plus HIIT (HM). Rats in groups M and HM underwent 8 weeks of CUMS to establish depression-like behaviors, while groups HC and HM received HIIT intervention beginning from the 5th week for 4 consecutive weeks. The HIIT protocol consisted of repeated intervals of 3 min at high speed (85%-90% maximal training speed, S_max) alternated with one minute at low speed (50%-55% S_max), with 3 to 5 sets per session, conducted 5 d per week. Behavioral assessments and tail-vein blood lactate levels were measured at the end of the 4th and 8th weeks. After the intervention, rat PFC tissues were collected for Golgi staining to analyze synaptic morphology. Enzyme-linked immunosorbent assays (ELISA) were employed to detect brain-derived neurotrophic factor (BDNF), monocarboxylate transporter 1 (MCT1), lactate, and glutamate levels in the PFC, as well as serotonin (5-HT) levels in serum. Additionally, Western blot analysis was conducted to quantify the expression of synaptic plasticity-related proteins, including c-Fos, activity-regulated cytoskeleton-associated protein (Arc), and N-methyl-D-aspartate receptor 1 (NMDAR1). ResultsCompared to the control group (C), the CUMS-exposed rats (group M) exhibited significant reductions in sucrose preference rates, number of grid crossings, frequency of upright postures, and entries into and duration spent in open arms of the elevated plus maze, indicating marked depressive-like behaviors. Additionally, the group M showed significantly reduced dendritic spine density in the PFC, along with elevated levels of c-Fos, Arc, NMDAR1 protein expression, and increased concentrations of lactate and glutamate. Conversely, BDNF and MCT1 contents in the PFC and 5-HT levels in serum were significantly decreased. Following HIIT intervention, rats in the group HM displayed considerable improvement in behavioral indicators compared with the group M, accompanied by significant elevations in PFC MCT1 and lactate concentrations. Furthermore, HIIT notably normalized the expression levels of c-Fos, Arc, NMDAR1, as well as glutamate and BDNF contents in the PFC. Synaptic spine density also exhibited significant recovery. ConclusionFour weeks of HIIT intervention may alleviate depressive-like behaviors in CUMS rats by increasing lactate levels and reducing glutamate concentration in the PFC, thereby downregulating the overexpression of NMDAR, attenuating excitotoxicity, and enhancing synaptic plasticity.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective To compare the clinical outcomes of using elastic intramedullary nail and plate to fix fibular frac-ture.Methods The 60 patients with tibiofibular fractures admitted from January 2015 to December 2022 were divided into two groups:intramedullary nail group and plate group,30 cases each,intramedullary nail group was treated with elastic in-tramedullary nail fixation group,plate group was treated with steel plate and screw fixation group.Intramedullary nail group,there were 18 males and 12 females,aged from 22 to 75 years old with an average of(39.4±9.8)years old,including 24 cases of traffic accidents injury,6 cases of falling injury,23 cases of closed fractures,7 cases of open fractures.Steel plate group,there were 15 males and 15 females,aged from 24 to 78 years old with an average of(38.6±10.2)years old.The 22 cases were injured by traffic accident,8 cases were injured by falling.The 24 cases were closed fractures and 6 cases were open fractures.The operation time,intraoperative bleeding,American Orthopedic Foot and Ankle Society(AOFAS)ankle and hind foot scores,clinical healing time of fibula and the incidence of wound complications were compared between the two groups.Re-sults The patients in both groups were followed up for 6 to 21 months,with an average of(14.0±2.8)months.Compared with plate group,intramedullary nail group had shorter operative time,less bleeding,shorter clinical healing time of fibula,and low-er infection rate of incision,and the difference was statistically significant(P＜0.05).There were 2 cases of delayed healing in intramedullary nail group,1 case of nonunion in plate group,and 2 cases of delayed healing in plate group,and there was no statistically significant difference between the two groups(P＞0.05).In the last follow-up,according to the AOFAS scoring standard,the ankle function in intramedullary nail group was excellent in 17 cases,good in 12 cases,fair in 1 case,with an av-erage of(88.33±4.57)points,while in plate group,excellent in 16 cases,good in 10 cases,fair in 4 cases,with an average of(87.00±4.14)points;There was no statistical difference between the two groups(P＞0.05).Conclusion Elastic intramedullary nail has the advantages of short operation time,less intraoperative bleeding,short fracture healing time and less incision com-plications in the treatment of fibular fracture,which is worthy of clinical application.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective:To evaluate the safety and feasibility of the laparoscopic indocyanine green (ICG) fluorescence imaging during the sentinel node navigational surgery for the early gastric cancer.Methods:Patients with <4 cm early gastric cancer were chosen. 0.5 ml ICG (2.5 mg/ml) was preoperatively injected into submucosa around the lesion in four points by the endoscopy. The sentinel lymph node basin including the stained tissue and lymph node (LN) were completely resected guided by the fluorescence mapping under ICG laparoscopy. The specimen was inspected by frozen pathology section. The radical gastrectomy was dependent on the pathology result.Result:Between 2019 and 2021, a total of 18 patients were included in the final analysis. Most tumors (16/18) located in the middle or distal stomach. Median tumor size was 2.0 cm. Lymph vessel invasion was revealed in five cases and perineural invasion in three cases. According to AJCC tumor grading system, tumor depth was classified as Tis in 2 cases, T1a in 5 cases and T1b in 11 cases. Lymph node metastasis (LNM) was revealed in four patients (4/18, 22%). Median sentinel lymph node basins per patient were 2 (range, 1-5). An average 6 (range, 2-13) LNs were harvested in each case, including 6 (1-13) ICG stained LNs and 1 (0-5) non stained LNs. All of four LNM patients were detected by sentinel node navigational surgery. The rate of the sensitivity and accuracy were 100% and 100%, respectively. The median follow-up for the entire group was 58.3 months (0.3-59.9 months), with no recurrence or metastasis observed in any patient.Conclusion:The sensitivity and accuracy of the laparoscopic indocyanine green fluorescence imaging during the sentinel node navigational surgery were satisfactory.

The classification,principle and development status of the EEG monitoring device for anesthesia depth in foreign countries and China were introduced,whose application,advantages and disadvantages were analyzed.It's pointed out the development of the device involved in multi-modal monitoring and AI technologies,enhancement of patient comfort and safety,data sharing and cross-disciplinary cooperation.[Chinese Medical Equipment Journal,2024,45(6):105-112]

Objective To explore the value of 3D amide proton transfer weighted imaging(APTWI),diffusion weighted imaging(DWI)and the combination for differentiating benign and malignant bone and soft tissue tumors.Methods Non-contrast MRI,APTWI and DWI of pelvis or lower extremity were prospectively acquired in 96 patients with bone and soft tissue tumors.MTRasym and ADC maps were obtained based on APTWI and DWI calculation with an offset of 3.5 ppm,respectively,and the maximum asymmetric magnetization transfer rate(MTRasym)(MTRasymmax),the mean MTRasym(MTRasymmean)and the minimum MTRasym(MTRasymmin),as well as the maximum apparent diffusion coefficient(ADC)(ADCmax),the mean ADC(ADCmean)and the minimum ADC(ADCmin)values were measured.The above parameters were compared between benign and malignant tumors.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of APTWI,DWI and the combination.Results Among 96 patients,there were 41 benign and 55 malignant pelvic or lower limb bone and soft tissue tumors.In benign tumors,MTRasym(3.5 ppm)values,including MTRasymmax.MTRasymmean and MTRasymmin were significantly higher,whereas ADC values including ADCmax,ADCmeanand ADCmin were significantly lower than those in malignant tumors(all P＜0.05).AUC of MTRasymmax and ADCmin for differentiating benign and malignant bone and soft tissue tumors was 0.791 and 0.873,respectively,being not statistically different(P=0.122),but both lower than that of their combination(AUC=0.944,P＜0.001,P=0.041).Conclusion APTWI combined with DWI had high efficacy for differentiating benign and malignant bone and soft tissue tumors.