In recent years, the deep integration of artificial intelligence (AI) into medical education has created new opportunities for teaching Biochemistry and Molecular Biology, while also offering innovative solutions to the pedagogical challenges associated with protein structure and function. Focusing on the case of anaplastic lymphoma kinase (ALK) gene mutations in non-small-cell lung cancer (NSCLC), this study integrates AI into case-based learning (CBL) to develop an AI-CBL hybrid teaching model. This model features an intelligent case-generation system that dynamically constructs ALK mutation scenarios using real-world clinical data, closely linking molecular biology concepts with clinical applications. It incorporates AI-powered protein structure prediction tools to accurately visualize the three-dimensional structures of both wild-type and mutant ALK proteins, dynamically simulating functional abnormalities resulting from conformational changes. Additionally, a virtual simulation platform replicates the ALK gene detection workflow, bridging theoretical knowledge with practical skills. As a result, a multidimensional teaching system is established—driven by clinical cases and integrating molecular structural analysis with experimental validation. Teaching outcomes indicate that the three-dimensional visualization, dynamic interactivity, and intelligent analytical capabilities provided by AI significantly enhance students’ understanding of molecular mechanisms, classroom engagement, and capacity for innovative research. This model establishes a coherent training pathway linking “fundamental theory-scientific research thinking-clinical practice”, offering an effective approach to addressing teaching challenges and advancing the intelligent transformation of medical education.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Objective To study the microscopic structure and morphological characteristics of Zebrafish eyeball and retina at different developmental stages, and to lay a foundation for visual research model. Methods Select eight groups of zebrafish at different ages, with six fish in each group, 48 fish in total. Optical microscopy and transmission electron microscopy were used to observe the eyeball structure of Zebrafish at different developmental stages, and the thickness of retinal each layer was measured to analyze the temporal and spatial development pattern. The morphological characteristics of various cells in the retina and the way of nerve connection were observed from the microscopic and ultrastructural aspects, especially the structural differences between rod cells and cone cells. Results The retina of Zebrafish can be divided into ten layers including retinal pigment epithelial layer, rod cells and cone cells layer, outer limiting membrane, outer nuclear layer, outer plexiform layer, inner nuclear layer, inner plexiform layer, ganglion cell layer, nerve fiber layer, inner limiting membrane. Rod cells had a smaller nucleus and a higher electron density than cone cells. Photoreceptor terminals were neatly arranged in the outer plexiform layer, forming neural connections with horizontal cells and bipolar cells, and several synaptic ribbons are clearly visible within them. In Zebrafish retina, ganglion cell layer and inner plexiform layer are the earliest developed. With the growth and development of Zebrafish, the thickness of rod cells and cone cells layer and retinal pigment epithelial layer gradually increases, and the retinal structure was basically developed in about 10 weeks. Conclusion The retinal structure of Zebrafish is typical, with obvious stratification and highly differentiated nerve cells. There are abundant neural connections in the outer plexiform layer. The ocular development characteristics of Zebrafish are similar to those of most mammals.

Objective By analyzing relevant literature of long COVID,we aimed to understand the current research status,hotspots and trends in this field.Methods Based on Web of Science core collection data,bibliometric analysis was used as the main research method.The results were visualized with VOSviewer.A comprehensive analysis was performed from various perspectives including trends in publication,journal distribution,highly cited papers,international research collaboration networks,and clusters of keywords,etc.Results The field of long COVID has garnered significant global academic attention.A total of 7 877 related articles were retrievable,with a total citation count of 103 389 and an average citation count of 13.13 per article.Among them,the United States published the most articles(1 780 articles,22.59%),while China ranked fifth in publication volume(686 articles,8.71%).The international scientific cooperation network reflected the close collaborative relationships between countries in long COVID research,predominantly involving the United States,the United Kingdom,Italy,India,and China.Keywords clustering indicated that the current main research focuses in the long COVID field include:clinical manifestations,epidemiological characteristics,risk factors,and mechanisms of occurrence,treatment and rehabilitation measures of long COVID,and its impact on public and social life.Conclusion This article reveals the current state,research hotspots and trends in the long COVID field,providing valuable references for related research institutions,scholars as well as health administrative office.

ObjectiveAngle-closure glaucoma (ACG) is one of the major eye-blinding diseases. To diagnose ACG, it is crucial to examine the anterior chamber angle. Current diagnostic tools include slit lamp gonioscopy, water gonioscopy, ultrasound biomicroscopy (UBM), and anterior segment optical coherence tomography (AS-OCT). Slit lamp and water gonioscopy allow convenient observation of the anterior chamber angle, but pose risks of invasive operation and eye infections. UBM can accurately measure the structure of the anterior chamber angle. However, it is complex to operate and unsuitable for patients, who have undergone trauma or ocular surgery. Although AS-OCT provides detailed images, it is costly. The aim of this study is to explore a non-invasive, non-destructive optical reflection tomography (ORT) technique. This technique can achieve low-cost three-dimensional imaging and full-field anterior chamber angle measurement of the porcine eye. MethodsThe experiment involved assembling an optical reflection tomography system, which included a complementary metal oxide semiconductor (CMOS) camera, a telecentric system, a stepper motor, and a white light source, achieving a spatial resolution of approximately 8.5 μm. The process required positioning the porcine eye at the center of the field of the imaging system and rotating it around its central axis using a stepper motor. Reflection projection images were captured at each angle with an exposure time of 1.0 ms and an interval of 2°. The collected reflection-projection data were processed using a filtered reflection tomography algorithm, generating a series of two-dimensional slice data. These slices essentially represented cross-sectional views of the three-dimensional structural image, and were reconstructed into a complete three-dimensional structural image. Based on the reconstructed three-dimensional structural image of the porcine eye, the anterior chamber angles at different positions were measured, and a distribution map of these angles was drawn. Simultaneously, the ORT measurements were compared with the standard results obtained from optical coherence tomography (OCT) to assess the accuracy of ORT measurements. ResultsIn this study, we successfully obtained the reflection projection data of a porcine eye using ORT technology, reconstructed its three-dimensional structural image, and measured the anterior chamber angle, generating the corresponding distribution map. To better distinguish the different structural parts of porcine eye, the three-dimensional structural image was marked with blue, green, and yellow dashed lines from the outer to the inner layers. The area between the blue and green dashed lines corresponded to the sclera. The area between the green and yellow dashed lines corresponded to the iris. The area inside the yellow dashed line corresponded to the pupil. The three-dimensional structural image clearly revealed the key anatomical features of the porcine eye. It was able to measure the anterior chamber angle at different positions. Additionally, the anterior chamber angle measurements of the porcine eye using ORT were compared with the measurements obtained using a TEL320C1 type OCT system, showing an average deviation of 0.51° and a mean square error MSE of 0.317. ConclusionORT is a non-invasive, non-destructive, low-cost, and high-resolution imaging technique capable of achieving three-dimensional structural imaging and full-field anterior chamber angle measurement of a porcine eye. This technology offers a new perspective for the diagnosis of angle-closure glaucoma and is significant for the screening, diagnosis, and monitoring of eye diseases, potentially benefiting clinics and small hospitals in remote areas in the future.

Objective To evaluate the value of miniprobe endoscopic ultrasound(EUS)in guiding endoscopic treatment of small-diameter(maximum diameter less than 1 cm)and low-grade(G1 grade)rectum neuroendocrine neoplasm(R-NEN),and to provide evidence and clues for its clinical application and further research.Methods The clinical data of 85 cases of low-grade(G1 grade)R-NEN with a maximum diameter of less than 1 cm who underwent endoscopic treatment in our center from January 2014 to December 2020 were retrospectively analyzed.The patients were divided into the EUS group(37 cases)and control group(48 cases)according to whether EUS was performed before endoscopic treatment.The positive rate of incision margin,the incidence of complications,the recurrence rate,the hospital stay,the cost of hospitalization and endoscopic therapy were compared between the two groups.Results The positive rate of incision margin in the EUS group was significantly lower than that in control group(P<0.05).There was no significant difference in the incidence of complications,tumor recurrence rate,hospital stay or hospital costs between the two groups(P>0.05).There was statistically significant difference in the endoscopic therapy between the two groups(P<0.05).Conclusion Evaluating the lesion depth of small-diameter and low-grade(G1 grade)R-NEN before surgery by miniprobe EUS and selecting endoscopic surgery according to its results of can significantly reduce the residual risk of resection margin tumors.

Objective To analyze the spatial distribution of Helicobacter Pylori (Hp) infection and its correlation with gastrointestinal tumors in the physical examination population of Xi'an city, and to provide reference for the prevention of gastrointestinal tumors in this area. Methods A total of 23 200 subjects who underwent physical examination in 25 public hospitals in Xi'an from January 2019 to January 2023 were selected as the research objects. The basic Information of the patients was derived through the Hospital Information System (HIS), and all subjects underwent 13C-breath test and gastroenterological endoscope. ArcGIS 10.6 software was used to draw a statistical map of Hp infection in Xi 'an for spatial autocorrelation analysis. Hp infection in patients with different gastrointestinal tumors was analyzed. Results In this study population, there were 10 858 cases of Hp infection , with an infection rate of 46.80% ; among them , 5 491 cases were male, with an infection rate of 46.60% , and 5,367 cases were female, with an infection rate of 47.01% , and there was no significant difference in the infection rate between genders (P>0.05). The prevalence of HP infection was higher in the 30-year-old and 20-year-old groups, 55.62% and 42.71%, respectively, and the infection rate showed a first increase and then a decreasing trend with age (χ²_trend = 6201.21, 6945.22 , P<0.001 ). The spatial distribution of Hp infection rate in the physical examination population of each administrative region county in Xi'an was globally spatially positively correlated, with spatial clustering (Moran's I=0.14, P=0.02). Local spatial autocorrelation showed that the five districts and counties presented high-high clustering. A total of 418 cases of gastrointestinal tumors were detected, with a detection rate of 1.80% , including 156 cases of gastric cancer , 85.90% of Hp infection rate, 106 cases of gastric mucosa-associated lymphoid tissue lymphoma, 83.02% of Hp infection rate, 98 cases of colon cancer, 80.61% of Hp infection rate, 58 cases of rectal cancer, 84.48% of Hp infection rate, and the differences were statistically significant (χ²=13.49, 16.16, 17.27, 24.66, P<0.05 for all). Conclusion The distribution of Hp infection in the physical examination population of Xi'an city has the characteristics of spatial aggregation and is related to gastrointestinal tumor diseases. It is suggested to carry out Hp infection education for the population in key areas to prevent the occurrence of gastrointestinal tumor diseases.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

An adsorption and concentration sampling device for volatile organic compounds(VOCs)was designed in this work,which improved the long-term monitoring stability of the online monitoring system for VOC adsorption and concentration,and solved the issue of rapid attenuation of responses toward higher carbon compounds.The designed VOC desorption device achieved an average heating rate of 40 ℃/s,with a relative standard deviation(RSD)of 0.4％.Quantitative analysis of mixture of 116 kinds of different VOC standard gases was performed,and the test results showed that the qualification rate of standard curves increased significantly from 90％to 99％,the proportion of detection limits below 0.1 nmol/mol improved from 85％to 90％,and the proportion of residual levels in the system below 0.1 nmol/mol also increased from 85％to 90％.The stable monitoring period was extended from 20 d to over 30 d,making it more conducive to long-term unattended monitoring by the developed instrument.

Objective To explore the birthdate circuit qi endowment of the five circuit phases and six climatic factors in the female patients with benign and malignant breast tumors,and to analyze the benign and malignant tendency of breast tumors.Methods The birth date information of 723 patients with breast malignant tumor(breast cancer)and 1 595 patients with benign breast tumor were collected from the electronic medical record system of the First Affiliated Hospital of Guangzhou University of Chinese Medicine.SPSS 25.0 statistical software was used to analyze the circuit qi information of the two groups of patients.Results(1)The analysis of suiyun(yearly evolutive phase)showed that the patients born in the years of excessive wood phase,excessive fire phase,and deficiency earth phase tended to suffer from breast cancer,while the patients born in the years of deficiency gold phase,deficiency wood phase,and excessive water phase tended to suffer from benign breast tumors.(2)The analysis of dominant qi(regular yearly circuit qi)showed that the patients born at the time of shaoyin monarch fire were more likely to suffer from breast cancer,while patients born at the time of jueyin wind-wood and taiyin damp-earth were more likely to suffer from benign breast tumors.(3)The analysis of guest qi(alterable yearly circuit qi)showed that the patients born at the time of jueyin wind-wood and yangming dry-gold were more likely to suffer from breast cancer,and the patients born at the time of shaoyang ministerial fire and taiyang cold-water were more likely to suffer from benign breast tumors.(4)The analysis of birth season showed that the patients born in spring were more likely to suffer from breast cancer.(5)The analysis of the combination of circuit and qi(circuit phases and climatic factors)showed that the patients born in the year of xiaoni(circuit phases generating climatic factors),buhe(circuit phases restricting climatic factors),and tianxing(sitian climatic factors restricting the predominant circuit phases)tended to suffer from breast cancer,and patients born in the year of suihui(yearly heavenly-stem circuit phase accorded with the yearly earthly-branch circuit qi)and tongsuihui(deficiency yearly circuit phase in accordance with the second half of the alterable yearly circuit qi)tended to suffer from benign breast tumors.(6)The analysis of celestial control-terrestrial effect showed that the combination of celestial control-terrestrial had no significant effect on the incidence of breast cancer or benign breast tumors(P＞0.05).Conclusion(1)Certain differences and tendencies of birthdate circuit qi endowment exist between benign breast tumors and breast cancer.(2)The birthdate circuit qi endowment of breast cancer is characterized by wind and heat,and mainly involves liver,spleen,heart and kidney.Compared with patients with benign breast tumors,patients with breast cancer usually have the excess and heat biased constitution endowment.