AIM: To explore the risk factors of macular edema in patients with diabetes cataract after surgery, and provide reference for postoperative prevention and treatment.METHODS: A total of 55 diabetes cataract patients(55 eyes)with macular edema after phacoemulsification surgery at the ophthalmology department of Jiaozhou Central Hospital of Qingdao from January 2022 to January 2024 were selected as edema group. In addition, 59 patients(59 eyes)with diabetes cataract who received the same surgical treatment but did not develop macular edema were treated as control group, and the relationship between interferon-induced protein-10(IP-10), macrophage chemotactic protein-1(MCP-1), vascular endothelial growth factor(VEGF)and postoperative macular edema was analyzed.RESULTS:Age, diabetes course, best corrected visual acuity(BCVA), glycated hemoglobin(HbA1c), creatinine, levels of IP-10, MCP-1 and VEGF in aqueous humor in the edema group were higher than those in the control group(all P<0.05). The risk factors for postoperative macular edema in patients with diabetes cataract were prolonged duration of diabetes, BCVA, increased HbA1c, increased creatinine and IP-10 in aqueous fluid, increased MCP-1 and increased VEGF(all P<0.05).CONCLUSION:Macular edema after surgical treatment in diabetes cataract patients is associated with prolonged duration of diabetes, BCVA, HbA1c, creatinine, IP-10, MCP-1, and VEGF, and clinical interventions should be given in advance.

Objective: To explore the relationship between beverage dependence and sleep quality among college students, providing empirical evidence for improving their sleep quality. Methods: From December 2024 to January 2025, a convenience sampling method was used to conduct a questionnaire survey among 3 974 college students from four universities in Anhui Province. The Beverage Addiction Scale for College Students (BASCS) was used to assess beverage dependence, and the Self rating Scale of Sleep(SRSS) was used to evaluate sleep quality. A multivariate Logistic regression model was employed to analyze the relationship between beverage dependence and sleep quality, and a restricted cubic spline model was used to examine the dose response relationship between the two. Results: The positive rate of beverage dependence symptoms among college students was 7.6%, with positive rates of 9.6%, 13.8%, and 7.4% for the withdrawal symptoms, health effects, and dependence symptoms dimensions, respectively. The detection rate of sleep disorders was 23.6%. Multivariate Logistic regression analysis showed that after adjusting for covariates such as grade, gender, and body mass index, compared with the no beverage dependence group, students with positive beverage dependence symptoms had a higher risk of sleep disorders( OR =3.71, 95% CI =2.87-4.80, P <0.01). The OR (95% CI ) for sleep disorders among students with positive symptoms in the withdrawal symptoms, health effects, and dependence symptoms dimensions were 2.80(2.22-3.53), 2.38(1.95-2.91), and 2.45(1.89-3.18)(all P <0.01). Further analysis using a restricted cubic spline model revealed that the overall beverage dependence score and its three dimensional scores were approximately linearly related to the risk of sleep disorders among college students (all nonlinear P >0.05). Conclusions Beverage dependence is associated with sleep quality among college students. Schools should take multiple approaches, such as health education on beverage awareness, to improve students sleep quality.

RNA modifications constitute a crucial class of post-transcriptional chemical alterations that profoundly influence RNA stability and translational efficiency, thereby shaping cellular protein expression profiles. These diverse chemical marks are ubiquitously involved in key biological processes, including cell proliferation, differentiation, apoptosis, and metastatic potential, and they exert precise regulatory control over these functions. A major advance in the field is the recognition that RNA modifications do not act in isolation. Instead, they participate in complex, dynamic interactions—through synergistic enhancement, antagonism, competitive binding, and functional crosstalk—forming what is now termed the “RNA modification interactome” or “RNA modification interaction network.” The formation and functional operation of this interactome rely on a multilayered regulatory framework orchestrated by RNA-modifying enzymes—commonly referred to as “writers,” “erasers,” and “readers.” These enzymes exhibit hierarchical organization within signaling cascades, often functioning in upstream-downstream sequences and converging at critical regulatory nodes. Their integration is further mediated through shared regulatory elements or the assembly into multi-enzyme complexes. This intricate enzymatic network directly governs and shapes the interdependent relationships among various RNA modifications. This review systematically elucidates the molecular mechanisms underlying both direct and indirect interactions between RNA modifications. Building upon this foundation, we introduce novel quantitative assessment frameworks and predictive disease models designed to leverage these interaction patterns. Importantly, studies across multiple disease contexts have identified core downstream signaling axes driven by specific constellations of interacting RNA modifications. These findings not only deepen our understanding of how RNA modification crosstalk contributes to disease initiation and progression, but also highlight its translational potential. This potential is exemplified by the discovery of diagnostic biomarkers based on interaction signatures and the development of therapeutic strategies targeting pathogenic modification networks. Together, these insights provide a conceptual framework for understanding the dynamic and multidimensional regulatory roles of RNA modifications in cellular systems. In conclusion, the emerging concept of RNA modification crosstalk reveals the extraordinary complexity of post-transcriptional regulation and opens new research avenues. It offers critical insights into the central question of how RNA-modifying enzymes achieve substrate specificity—determining which nucleotides within specific RNA transcripts are selectively modified during defined developmental or pathological stages. Decoding these specificity determinants, shaped in large part by the modification interactome, is essential for fully understanding the biological and pathological significance of the epitranscriptome.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

OBJECTIVE To investigate the use of drugs and the development of pharmaceutical care in the tight medical alliance （shorted for “medical alliance”） of Wanzhou District of Chongqing， and provide reference for the further construction of the medical alliance. METHODS A survey form was designed and distributed to 21 constituent units （5 leading units and 16 member units） of 5 medical alliances in Wanzhou District of Chongqing. The statistical analysis was conducted in aspects of basic drug allocation and use， pharmaceutical personnel team construction， the development of pharmaceutical care， and rational use of antibiotics. RESULTS Among the 21 constituent units， 4 leading units and 14 member units achieved the target for the proportion of essential drug procurement varieties， with a total compliance rate of 85.71%； 4 leading units and 13 member units achieved the target for the proportion of national essential drug allocation and usage amount， with a total compliance rate of 80.95%. The proportions of personnel with doctoral degrees in the 5 leading units and 16 member units were 1.71% and 0 respectively， and the proportions of personnel with senior professional titles were 8.56% and 1.63%， respectively. A total of 5 pharmacy or pharmaceutical combined outpatient clinics were set up in the 21 medical alliance units， and 5 clinical pharmacy information service platforms were established； all 5 leading units were able to regularly carry out clinical pharmacy projects， while only 4 out of 16 member units had conducted medical order review and evaluation. The proportions of irrational use of antibiotics in outpatient prescriptions and inpatient medical records of the 16 member units （4.81%， 5.21%） were significantly higher than those of the 5 leading units （2.80%， 4.00%）. CONCLUSIONS The allocation and usage of national essential drugs in 21 constituent units from Wanzhou District of Chongqing are both in good standing. However， the data on the allocation of pharmaceutical professionals and the number， qualifications， and job titles of clinical pharmacists in member units are generally low. Moreover， the pharmaceutical service projects and service quality in member units need to be further improved.

ObjectiveTo explore the potential mechanism of Banxia Xiexin Decoction （半夏泻心汤， BXD） in the treatment of diabetic gastroparesis （DGP）. MethodsA total of 29 SD rats were randomly divided into four groups， blank group （5 rats） and model group， BXD group and metformin group （8 rats in each group）. Except for the blank group， rats were administered intraperitoneally with 1% streptozotocin （STZ） solution and were fed a high-sugar， high-fat diet to establish the DGP rat model. After successful modeling， the BXD group was treated with BXD at 6.68 g/（kg·d） by gavage， the metformin group was treated with metformin hydrochloride at 105 mg/（kg·d） by gavage， and the blank group and the model group were treated with normal saline at 6.68 ml/（kg·d） by gavage， for 8 weeks. After the last administration， fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， total cholesterol （TC）， triglycerides （TG） were measured and gastric emptying rate was calculated. ELISA was used to detect the levels of gastrointestinal hormones motilin （MTL） and gastrin （GAS）， as well as inflammatory factors including tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， interleukin-1β （IL-1β） and interleukin-10 （IL-10） in gastric tissue. Oil red O staining was performed to observe liver pathological morphology. Hematoxylin and eosin （HE） staining was used to observe gastric antrum tissue morphology. Immunofluorescence staining was used to detect liver X receptor α （LXRα） levels in the liver. Western Blot was used to detect the protein levels of LXRα in liver tissue， and of janus kinase 2 （JAK2）， phospho-janus kinase 2 （p-JAK2）， signal transducer and activator of transcription 3 （STAT3） and phospho-signal transducer and activator of transcription 3 （p-STAT3） in gastric antrum tissue. Quantitative real-time polymerase chain reaction （qPCR） was used to measure the mRNA expression of LXRα in liver tissue and JAK2， STAT3 in gastric antrum tissue. ResultsCompared with the blank group， the model group showed significant hepatic fatty degeneration， gastric antrum tissue structure destruction， and increases in FBG， HbA1c， TC， and TG levels； the average fluorescence intensity， protein level， and mRNA expression of LXRα in liver tissue were reduced； the gastric emptying rate and gastric tissue GAS and MTL levels decreased； inflammatory factors including TNF-α， IL-6， IL-1β in gastric tissue increased， IL-10 decreased； in gastric antrum tissue， the mRNA expression of p-JAK2/JAK2， p-STAT3/STAT3， and JAK2 and STAT3 increased （P＜0.01）. Compared with the model group， both the BXD group and the metformin group showed improved liver and gastric antrum tissue pathology； FBG， HbA1c， TC， and TG levels decreased， while LXRα fluorescence intensity， protein level， and mRNA expression in liver tissue significantly increased； the gastric emptying rate and the levels of GAS and MTL in gastric tissue were markedly higher； the levels of TNF-α， IL-6， and IL-1β decreased， whereas IL-10 levels increased， p-JAK2/JAK2， p-STAT3/STAT3， and the mRNA expression of JAK2 and STAT3 in gastric antrum tissue decreased （P＜0.05 or P＜0.01）. The BXD group showed higher level than the metformin group in FBG， HbA1c， and TG levels， lower level in gastric emptying rate and gastric tissue GAS content， and higher level in gastric tissue TNF-α， IL-6， IL-1β levels； there was also a decrease in IL-10 levels， and a reduction in LXRα fluorescence intensity and mRNA expression in liver tissue， as well as in p-JAK2/JAK2 levels in gastric antrum tissue （P＜0.05 or P＜0.01）. ConclusionBXD can reduce blood glucose and lipid levels in DGP model rats while improving gastric function and alleviating gastric tissue inflammation. Its mechanism may be related to the regulation of LXRα expression in liver tissue and the JAK2/STAT3 pathway in gastric antrum tissue.

Objective: To investigate the urban and rural differences in adverse outcomes of pulmonary tuberculosis (PTB) in patients with pulmonary tuberculosis-diabetes mellitus comorbidity (PTB-DM), so as to provide insights into improving the prevention and treatment measures for PTB-DM. Methods: Patients with PTB-DM who were admitted and discharged from 14 designated tuberculosis hospitals in Hangzhou City from 2018 to 2022 were selected. Basic information, and history of diagnosis and treatment were collected through hospital information systems. The adverse outcomes of PTB were defined as endpoints, and the proportions of adverse outcomes of PTB in urban and rural patients with PTB-DM were analyzed. Factors affecting the adverse outcomes of PTB were identified using a multivariable Cox proportional hazards regression model. Results: A total of 823 patients with PTB-DM were enrolled, including 354 (43.01%) urban and 469 (56.99%) rural patients. There were 112 (13.61%) patients with adverse outcomes of PTB. The proportions of adverse outcomes of PTB in urban and rural patients were 14.41% and 13.01%, respectively, with no statistically significant difference (P>0.05). Multivariable Cox proportional hazards regression analysis identified first diagnosed in county-level hospitals or above (HR=2.107, 95%CI: 1.181-3.758) and drug resistance (HR=3.303, 95%CI: 1.653-6.600) as the risk factors for adverse outcomes of PTB in urban patients with PTB-DM, while the treatment/observed management throughout the process (HR=0.470, 95%CI: 0.274-0.803) and fixed-dose combinations throughout the process (HR=0.331, 95%CI: 0.151-0.729) as the protective factors for adverse outcomes in rural patients with PTB-DM. Conclusions There are differences in influencing factors for adverse outcomes of PTB in urban and rural patients with PTB-DM. The adverse outcomes of PTB are associated with first diagnosed hospitals and drug resistance in urban patients, and are associated with the treatment/observed management and fixed-dose combinations throughout the process in rural patients.

AIM: To investigate the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters in patients with hypertensive retinopathy(HRP).METHODS: A total of 50 patients(22 left eyes and 28 right eyes)with HRP admitted to our hospital from June 2021 to June 2023 were retrospectively included as the experimental group, and 50 healthy physical examination subjects(22 left eyes and 28 right eyes)during the same period were included as the healthy group. Pearson correlation was used to analyze the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters.RESULTS: The AUC values of fundus blood flow parameters and carotid artery ultrasound blood flow parameters and their combined diagnosis of HRP were 0.853, 0.844 and 0.935, respectively. Pearson correlation analysis showed that carotid systolic peak blood flow velocity was negatively correlated with foveal avascular zone(FAZ)area, FAZ circumference and non-circularity index, and positively correlated with macular vascular density(all P<0.05). The end-diastolic blood flow velocity was positively correlated with FAZ area and macular vascular density(all P<0.05). The internal carotid artery resistance index was positively correlated with FAZ area(P<0.05).CONCLUSION: The combination of fundus blood flow parameters and carotid artery ultrasound blood flow parameters in the diagnosis of HRP has good application value in the diagnosis of HRP.

BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

BACKGROUND:Gradient artificial bone repair scaffolds can mimic unique anatomical features in musculoskeletal tissues,showing great potential for repairing injured musculoskeletal tissues. OBJECTIVE:To review the latest research advances in gradient artificial bone repair scaffolds for tissue engineering in the musculoskeletal system and describe their advantages and fabrication strategies. METHODS:The first author of the article searched the Web of Science and PubMed databases for articles published from 2000 to 2023 with search terms"gradient,bone regeneration,scaffold".Finally,76 papers were analyzed and summarized after the screening. RESULTS AND CONCLUSION:(1)As an important means of efficient and high-quality repair of skeletal system tissues,gradient artificial bone repair scaffolds are currently designed bionically for the natural gradient characteristics of bone tissue,bone-cartilage,and tendon-bone tissue.These scaffolds can mimic the extracellular matrix of native tissues to a certain extent in terms of structure and composition,thus promoting cell adhesion,migration,proliferation,differentiation,and regenerative recovery of damaged tissues to their native state.(2)Advanced manufacturing technology provides more possibilities for gradient artificial bone repair scaffold preparation:Gradient electrospun fiber scaffolds constructed by spatially differentiated fiber arrangement and loading of biologically active substances have been developed;gradient 3D printed scaffolds fabricated by layered stacking,graded porosity,and bio-3D printing technology;gradient hydrogel scaffolds fabricated by in-situ layered injections,simple layer-by-layer stacking,and freeze-drying method;and in addition,there are also scaffolds made by other modalities or multi-method coupling.These scaffolds have demonstrated good biocompatibility in vitro experiments,were able to accelerate tissue regeneration in small animal tests,and were observed to have significantly improved histological structure.(3)The currently developed gradient artificial bone repair scaffolds have problems such as mismatch of gradient scales,unclear material-tissue interactions,and side effects caused by degradation products,which need to be further optimized by combining the strengths of related disciplines and clinical needs in the future.