Traditional treatment for type 1 diabetes mellitus （T1DM） primarily involves insulin replacement， yet some patients encounter issues such as significant blood glucose fluctuations， high risk of hypoglycemia， and weight gain. In recent years， the adjuvant therapeutic role of non-insulin hypoglycemic drugs in T1DM has gradually gained attention. This article reviews the mechanisms of action and clinical research progress of five types of non-insulin hypoglycemic drugs in the treatment of T1DM： amylin analogues （pramlintide）， biguanides （metformin）， sodium-glucose co-transporter 2 inhibitor， dipeptidyl peptidase-4 inhibitor， and glucagon-like peptide-1 receptor agonist. It is found that these drugs can enhance clinical benefits for T1DM patients by improving insulin sensitivity， delaying gastric emptying， promoting urinary glucose excretion， and regulating incretin levels， thereby reducing glycated hemoglobin levels， decreasing insulin dosage， and managing body weight. Simultaneously， these drugs also present limitations such as low patient compliance due to complex dosing regimens， increased risk of diabetic ketoacidosis， and heterogeneity in glycemic control. Future research could focus on developing individualized treatment strategies， combining pharmacogenomics with novel biomarkers to precisely identify subpopulations of patients who may benefit， and delving into the potential value of these drugs in delaying diabetic vascular complications and improving patients’ quality of life.

Diabetic retinopathy(DR), the most common microvascular complication of diabetes, has become a leading cause of visual impairment and blindness across all age groups. The early diagnosis and severity assessment of DR rely on the precise evaluation of retinal microvascular alterations. The periarterial capillary-free zone(paCFZ), a physiological avascular region surrounding retinal arteries, has recently been recognized as an important biomarker reflecting the status of retinal microcirculation. Advances in optical coherence tomography angiography(OCTA)have enabled noninvasive, high-resolution quantification of the paCFZ, offering a novel approach for the early detection and stratification of DR. This review systematically summarizes the definition and developmental mechanism of the paCFZ, as well as its morphological characteristics across different stages of DR, with a particular focus on the advantages of OCTA in visualizing and quantifying the paCFZ. We further discuss the differential manifestations of the paCFZ in nonproliferative DR and proliferative DR, and its associations with retinal ischemia and oxygenation status. In addition, the potential clinical value of paCFZ in evaluating responses to anti-vascular endothelial growth factor(VEGF)therapy and predicting disease progression is summarized. Finally, the challenges in clinical translation and future research directions are addressed, aiming to provide theoretical support and new perspectives for early screening, risk stratification, and personalized management of DR.

Objective To investigate muscle mass reduction and the effect of exercise training intervention in non-obese patients with type 2 diabetes (T2DM). Methods A total of 324 non-obese patients with T2DM admitted to the First Affiliated Hospital of Xinjiang Medical University were enrolled from February 2023 to February 2025. Dual-energy X-ray absorptiometry was adopted to detect and analyze the data of appendicular skeletal muscle index (ASMI). Non-obese T2DM patients were classified into an observation group (n=162, receive sports training intervention) and a control group (n=162, receiving routine exercise intervention) by adopting random number grouping criteria. Both groups were intervened for 3 months. The muscle mass indicators [ASMI, body mass index (BMI), and body fat rate], exercise ability [6-minute walking distance (6MWD), grip strength, and one-leg standing time], metabolic indicators [fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), and homeostasis model assessment insulin resistance index (HOMA-IR)], and quality of life [Diabetes Quality of Life Scale (DQOL)] were compared between the two groups to evaluate the effectiveness of sports training intervention. Results A total of 324 non-obese T2DM patients were enrolled, including 123 cases with reduced muscle mass (37.96%). There were no significant differences in the baseline data and the proportion of patients with muscle mass reduction between the two groups before intervention (P>0.05). After intervention, the ASMI, 6MWD, grip strength, and one-leg standing time in the observation group were higher or longer than those of the control group (P<0.05), while the body fat rate, FPG, HbA1c, HOMA-IR and DQOL scores were lower than those of the control group (P<0.05). Conclusion The incidence of muscle mass reduction is relatively high among non-obese T2DM patients, and exercise training intervention has significant effects on improving muscle mass, metabolic status, exercise capacity and quality of life in non-obese T2DM patients.

Puji Xiaoduyin， a specialized formula for the swollen-head epidemic， was recorded in the Catalogue of Ancient Classical Formula （the Second Batch）-Han Medicine， published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name， historical origin， drug dosage， herb origin， processing methods， decocting methods， function， and clinical applications. Additionally， this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were： Scutellariae Radix and Coptidis Rhizoma （20.65 g each）， Ginseng Radix et Rhizoma 12.39 g， Scrophulariae Radix， Citri Reticulatae Pericarpium， and Glycyrrhizae Radix et Rhizoma （8.26 g each）， Forsythiae Fructus， Arctii Fructus， Isatidis Radix， and Lasiosphaera Calvatia （4.13 g each）， Bombyx Batryticatus and Cimicifugae Rhizoma （2.891 g each）， Bupleuri Radix and Platycodonis Radix （8.26 g each）. These medicines were grounded to fine powder. One dose， including 20.65 g of the powder， was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag， the medicine should be taken warm frequently. In the formula， Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat， removing stagnation and dissipating mass， the formula is specialized in swollen-head epidemic， pestilence， red and swelling head， face， and neck， dry mouth and tongue， as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory， dermal， ophthalmologic， otolaryngologic， and nervous systems. The formula is most frequently used for respiratory diseases， with a wide range of symptoms including parotitis/mumps （66 times）， followed by tonsillitis （28 times）. In conclusion， the broadly applied formula has accurate efficacy and great development value.

Puji Xiaoduyin， a specialized formula for the swollen-head epidemic， was recorded in the Catalogue of Ancient Classical Formula （the Second Batch）-Han Medicine， published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name， historical origin， drug dosage， herb origin， processing methods， decocting methods， function， and clinical applications. Additionally， this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were： Scutellariae Radix and Coptidis Rhizoma （20.65 g each）， Ginseng Radix et Rhizoma 12.39 g， Scrophulariae Radix， Citri Reticulatae Pericarpium， and Glycyrrhizae Radix et Rhizoma （8.26 g each）， Forsythiae Fructus， Arctii Fructus， Isatidis Radix， and Lasiosphaera Calvatia （4.13 g each）， Bombyx Batryticatus and Cimicifugae Rhizoma （2.891 g each）， Bupleuri Radix and Platycodonis Radix （8.26 g each）. These medicines were grounded to fine powder. One dose， including 20.65 g of the powder， was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag， the medicine should be taken warm frequently. In the formula， Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat， removing stagnation and dissipating mass， the formula is specialized in swollen-head epidemic， pestilence， red and swelling head， face， and neck， dry mouth and tongue， as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory， dermal， ophthalmologic， otolaryngologic， and nervous systems. The formula is most frequently used for respiratory diseases， with a wide range of symptoms including parotitis/mumps （66 times）， followed by tonsillitis （28 times）. In conclusion， the broadly applied formula has accurate efficacy and great development value.

Although global brain science research has progressed rapidly in recent decades, several fundamental questions in neuroscience remain unresolved. In particular, the physical mechanism underlying neural signal transmission remains controversial, and the carriers responsible for neural information storage and retrieval have not yet been fully clarified. These unresolved issues motivate us to re-examine the processes of neural information generation, transmission, integration, storage, and retrieval from multiple perspectives. A key observation is that neural electromagnetic activities are closely associated with time. Their duration, temporal structure, and dynamic evolution play crucial roles in neural information processing. In this work, we analyze neural electromagnetic activities from the perspective of temporal scales (referred to here as the “time course”). By reviewing and integrating findings from previous studies, we examine the characteristic time requirements and dynamic features of neural processes occurring at different stages of information processing. These stages include neural signal generation, signal transmission along axons, synaptic integration, synaptic plasticity, and memory formation and retrieval. Based on this temporal analysis, we outline a framework describing neural electromagnetic activities across a wide range of time scales, spanning from microseconds to minutes, hours, or even longer periods associated with long-term memory, which suggests that neural information processing involves multiple physical processes operating at different time levels. Rapid electromagnetic events may occur on microsecond scales, whereas electrophysiological phenomena such as action potentials typically last on the order of milliseconds. Longer time scales are associated with synaptic plasticity and memory-related processes. From this perspective, we propose that the physical carrier of neural information may be transient electromagnetic pulses with durations on the microsecond scale. In this framework, action potentials can be interpreted as the macroscopic electrophysiological manifestation of underlying electromagnetic processes triggered by ionic currents across neuronal membranes. Rather than being the fundamental neural signal itself, the action potential may represent a measurable membrane-level response associated with the successful activation of these electromagnetic events. Moreover, we discuss a possible mechanism for long-term memory storage. Considering the apparent temporal contradiction between the millisecond-scale excitation of neurons and the long-term persistence of memories, we believe that long-term memory information may be stored within neural network topologies formed by electrical synapse coupling. Such structures, referred to as electrically coupled memory networks (ECMNs), may enable neurons within the same network to respond rapidly and synchronously to stimuli, thereby facilitating efficient memory retrieval. Overall, this study emphasizes the importance of considering the temporal organization of neural electromagnetic activities when interpreting neural signaling mechanisms. It may provide new insights into the physical nature of neural information carriers and the mechanisms of memory storage and retrieval. Furthermore, highlighting the potential role of electromagnetic interactions in neural activity may contribute to the development of new theoretical frameworks and experimental approaches in neuroscience. Such perspectives may also offer valuable references for future research on neural coding, brain function mechanisms, and neuromodulation technologies.

Objective This study investigated the diversity of rodent populations and the infection status of Bartonella at three ports along the China-Mongolia border in 2022. Methods Rodents at three Belt and Road ports along the China-Mongolia border, namely Ganqimaodu, Erenhot, and Zhuengadabuqi, were morphologically identified. The Bartonella citrate synthase(gltA)gene was amplified by nested polymerase chain reaction(PCR), and PCR-positive products were sequenced. The resulting sequences were then analyzed for genetic characteristics. Phylogenetic analysis was performed using MEGA 11.0 software using Neighbor-Joining and Maximum-Likelihood method. Results A total of 94 rodents were captured, representing seven species from five families and six genera: Mus musculus, Meriones unguiculatus, Meriones meridianus, Spermophilus dauricus, Allactaga sibirica, Dipus sagitta, and Phodopus roborovskii. Among them, M. unguiculatus was the most abundant species, with 58 rodents, accounting for 61.70% of the total. Overall,11 positive Bartonella pathogen sequences were obtained from the three ports, with a positive detection rate of 11.70%(11/94). The infected rodent species included M. unguiculatus, M. meridianus, and A. sibirica, and two species of Bartonella were detected. Conclusions Rodents at Ganqimaodu, Erenhot, and Zhuengadabuqi ports along the China-Mongolia border were naturally infected with Bartonella. Rodent monitoring and pathogen prevention and control in this area should be strengthened.

OBJECTIVE To explore the efficacy and safety of sofosbuvir-velpatasvir(SOF/VEL)combined with or without ribavirin(RBV)in treatment of the patients with genotype 3(GT3)chronic hepatitis C(CHC)and liver cirrhosis.METHODS Totally 230 patients with CT3 CHC and liver cirrhosis who were treated in Traditional Chi-nese Hospital of Xinjiang Uygur Autonomous Region,Xinjiang Hetian Specialized Hospital of Infectious Diseases and Xinjiang Manasi County People's Hospital from Jun.2018 to Mar.2023 were recruited as the research sub-jects.The clinical curative effects were observed after the subjects were treated with single SOF-VEL or the com-bination with RBV for 12 to 24 weeks.The indexes including high-sensitivity hepatitis C RNA(HCV RNA),blood routine indexes,liver function indexes and noninvasive diagnosis indexes for liver fibrosis were observed,and the sustained virological response 12 weeks after the treatment(SVR12)was analyzed.RESULTS The mean age of the enrolled patients was(42.31±11.18)years old,the male patients accounted for 66.52％,and there were 137 cases of GT3a and 93 cases of GT3b 93,there were 183 cases of CHC,44 cases of compensated cirrhosis(CC)and 3 cases of decompensated cirrhosis(DCC).There were 189 cases of single HCV infection,33 cases of mixed infections of HCV and HIV,6 cases of mixed infections of HBV/HCV and 2 cases of triple infections of HBV/HCV/HIV.The overall SVR12 of the 230 patients was 99.57％,the SVR12 of the GT3a type patients was 100.00％,the GT3b type patients 98.92％.The SVR12 of the patients with CHC,CC and DCC were 99.45％,100.00％and 100.00％,respectively.The SVR12 of the patients with single HCV infection,HCV/HIV infec-tion,HBV/HCV infection and HBV/HCV/HIV were 99.47％,100.00％,100.00％and 100.00％,respective-ly.No patient quit the direct-acting antivirals(DAAs)treatment due to the drug-induced adverse reactions.1 pa-tient had relapse due to irregular administration of DAAs.CONCLUSION The virological response rate is high a-mong the patients with GT3 CHC and liver cirrhosis who are treated with single SOF/VEL or the combination with RBV,with the safety favorable.

Objective:To explore the expression level of m6A methyltransferase ZC3H13 gene in primary acute myeloid leukemia(AML)and its relationship with clinical features and prognosis.Methods:A total of 131 newly diagnosed AML patients and 12 controls were enrolled from July 1,2018 to December 1,2021 in the Hematology Department of the Second Hospital of Shanxi Medical University.RT-qPCR technology was used to detect the expression level of ZC3H13 mRNA in bone marrow(BM)samples.A retrospective analysis was conducted to examine the correlation between ZC3H13 expression level and clinical indicators,gene mutations,and prognosis.Results:The expression level of ZC3H13 mRNA in primary AML patients was significantly higher than that in the control group(P＜0.001).The white blood cell count,proportion of BM blast cells,and relapse rate in the high ZC3H13 expression group were higher than those in the the low ZC3H13 expression group(all P＜0.05),while the Th/Ts ratio was lower(P＜0.01).Univariate survival analysis showed that patients with high expression of ZC3H13 had shorter median overall survival(OS)and disease-free survival(DFS)than those with low expression of ZC3H13(both P＜0.05).The results of multivariate Cox regression analysis showed that high-risk stratification(OS:HR=1.612,95％CI:1.151-2.257,P=0.005;DFS:HR=1.551,95％CI:1.031-2.335,P=0.035)and high ZC3H13 expression(OS:HR=1.756,95％CI:1.028-2.999,P=0.039;DFS:HR=1.935,95％CI:1.018-3.678,P=0.044)were both independent risk factors for OS and DFS in AML patients.Conclusion:The expression of ZC3H13 in AML patients may be related to tumor burden and immune function.Patients with high expression of ZC3H13 have poor prognosis,and high expression of ZC3H13 is an independent risk factor for the prognosis of AML patients.

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.