AIM: To detect the distribution and expression of vascular endothelial growth factor(VEGF)in radiation retinopathy(RR)through fluorescence targeted imaging.METHODS:Covalent binding of fluorescein FITC with VEGF antibody ranibizumab to prepare targeted fluorescent imaging probe ranibizumab-FITC. SD rats were randomly divided into three groups based on the principle of weight balance: a normal control group(Con group), a low-dose radiation group(10 Gy group), and a high-dose radiation group(30 Gy group). Medical linear accelerators and lead blocks were used to locally irradiate the rat eyeballs for modeling. Western blot and qRT-PCR were used to detect the expression levels of VEGF-A in each group and to screen for appropriate modeling dose. The inverted fluorescence microscope and the confocal microscope were used to observe the distribution of VEGF and imaging probes in the retinas of control and RR model group rats, and to verify the effectiveness of targeted probes.RESULTS:The expression level of VEGF-A in the retina of rats in the high-dose radiation group(30 Gy group)was higher than that in the normal control group(Con group). In early RR, VEGF expression was observed to be associated with microaneurysms and abnormal microvessels in the retina. VEGF accumulation was observed at the site of capillary wall damage. When retinal capillary endothelial damage occurred, targeted probes gathered on the outer surface of the vessel wall.CONCLUSION:The expression level of VEGF in the retina of RR model rats is elevated, and fluorescent targeted molecular imaging probes can detect the spatial distribution of VEGF at the microvascular lesions in the retina of RR rats.

This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

The gut microbiota is regarded as the "eighth organ" of the human body and plays a critical regulatory role in the occurrence and progression of various diseases. Ulcerative colitis （UC） is a chronic inflammatory bowel disease with a complex etiology and a tendency toward recurrent episodes. In recent years， studies have shown that gut microbiota dysbiosis plays a key role in its pathological processes. Meanwhile， an increasing number of studies have demonstrated that imbalances in the gut microbiota and abnormalities in its metabolites are closely associated with the development of atrial fibrillation （AF）. Although UC and AF belong to diseases of the digestive system and cardiovascular system， respectively， both exhibit systemic inflammatory characteristics and are often accompanied by gut microbiota dysregulation and abnormal metabolic products. However， systematic investigations into the mechanisms by which gut microbiota-derived metabolites act in these two diseases remain limited. Based on this， the present study adopts literature review and theoretical analysis methods， taking the "gut microbiota-gut-heart" axis as the entry point， to systematically summarize the signaling networks of three key classes of metabolites， i.e.， short-chain fatty acids （SCFAs）， bile acids （BAs）， and trimethylamine N-oxide （TMAO）， in the comorbidity mechanism of UC and AF. The findings indicate that these metabolites may activate key inflammatory pathways， such as NF-κB and NLRP3， thereby synergistically mediating intestinal barrier dysfunction and systemic inflammation and constructing a potential comorbidity network. On this basis， potential intervention strategies for the treatment of UC-AF comorbidity， including probiotic intervention and fecal microbiota transplantation， are further discussed. This study aims to provide new theoretical evidence and research perspectives for prevention and treatment strategies of cross-system diseases.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective This study aimed to adapt the data-driven Palliative Care Outcomes Collaboration(PCOC)model to the local context and evaluate its feasibility and preliminary effectiveness in a palliative care unit in China,with the goal of informing its broader integration into national palliative care practice.Methods Based on international experience,a localized implementation protocol for the PCOC model was developed through expert con-sultations and a pilot study.The protocol incorporated key elements including organizational and managerial sup-port,team training and capacity building,information system integration,supervision and feedback mechanisms,pro-cess optimization,and data-driven decision-making.From June to December 2023,the protocol was piloted in the palliative care unit of a tertiary cancer hospital in Changsha,China.Implementation outcomes were assessed by comparing patients' urgent care response rates,symptom stability rates,and symptom improvement rates between the first 1～3 months and 4～6 months after implementation.Results During the study period,a total of 355 inpatients were enrolled,with the PCOC assessment achieving full coverage(100％)and a completion rate of 97.78％.There was no statistically significant difference in the urgent needs response rate between the first 1～3 months and the 4～6 months after the implementation of the PCOC model(P=0.533).However,compared to the first 1～3 months af-ter implementation,patients in the 4～6 months period showed significantly higher symptom stability rates for pain,psychological/spiritual issues,and family/caregiver problems,as well as a higher improvement rate for pain(P＜0.05).Conclusion The localized PCOC implementation protocol facilitates standardized assessment and symptom manage-ment,and its application can enhance the quality of palliative care.

Klebsiella pneumoniae,as a clinically prevalent opportunistic pathogen,ranks as the second most com-monly detected pathogen in clinical isolates in China.The extensive clinical use of carbapenem antibiotics has led to a high global detection rate of carbapenem-resistant K.pneumoniae(CRKP).Characterized by complex resist-ance mechanisms and diverse evolutionary pathways,CRKP infections pose significant challenges in prevention and treatment,with high associated mortality rates,creating substantial obstacles for clinical anti-infective therapy.In recent years,the emergence and global spread of carbapenem-resistant hypervirulent K.pneumoniae(CR-hvKP)have escalated into a major public health threat.Notably,hypervirulent K.pneumoniae isolates carry-ing carbapenem resistance genes are rapidly disseminating worldwide,causing fatal infections even in immunocom-petent individuals.This article systematically reviews the latest research advances on the resistance mechanisms,evolutionary pathways,adaptive changes,and clinical management strategies of CR-hvKP,aiming to deepen un-derstanding of this"superbug"and provide a theoretical foundation for clinical prevention and control.

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

Objective:To investigate the intervention effect of five elements music of traditional Chinese medicine and western classical music on the sleep quality of stroke patients, and to compare the difference between the two, to provide a reference for the clinical care measures to improve the sleep quality of stroke patients.Methods:By adopting a randomized controlled trial, 75 stroke patients who were hospitalized in the rehabilitation hospital of the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine from July 2022 to July 2023 were selected by convenience sampling method as the study subjects, and the patients were randomly divided the conventional treatment group, the five-element music group, and the classical music group according to the method of randomized numerical table with 25 cases in each group. On the basis of general treatment, the conventional treatment group took sleep health education, the five elements music group were given five-element music intervention based on conventional treatment, and the classical music group were given classical music intervention based on conventional treatment. The changes of Athens Insomnia Scale (AIS), Pittsburgh Sleep Quality Index (PSQI) and polysomnography (PSG) examination parameters in the 3 groups were compared.Results:There were 2 cases of shedding in the conventional treatment group, and 23 cases were finally included, 15 males and 8 females, aged (54.02 ± 7.80) years; there were no cases of shedding in the five-element music group, and 25 cases were finally included, 12 males and 13 females, aged (53.69 ± 6.02) years; and there was 1 case of shedding in the classical music group, and 24 cases were finally included, 10 males and 14 females, aged (52.34 ± 7.08) years. Comparison of AIS, PSQI and PSG scores among the 3 groups of patients before intervention showed no statistically significant differences (all P>0.05). After the intervention, the AIS scores and PSQI scores of the 3 groups were (9.48 ± 1.53) and (12.22 ± 2.94), (6.76 ± 1.36) and (7.64 ± 2.08), (7.46 ± 1.38) and (10.33 ± 2.82), respectively, and the differences were statistically significant ( F=23.21, 18.44, both P<0.05). PSG sleep structure parameters showed that the total sleep time, REM latency time and sleep efficiency of the patients in the five-element music group after the intervention were (399.89 ± 51.76) min, (136.26 ± 25.36) min, (78.87 ± 8.21)%, higher than (368.45 ± 47.88) min, (124.46 ± 26.25) min, (73.36 ± 7.86)% in the classical music group and (345.48 ± 38.69) min, (111.37 ± 23.23) min, (69.44 ± 7.88)% in the conventional treatment group, and the differences between three groups were statistically significant ( F=8.27, 5.93, and 8.49, all P<0.05); the sleep latency time, awakening time, and number of awakenings in the five-element music group were (28.86 ± 17.68) min, (54.37 ± 25.15) min, and (2.72 ± 1.19) times, respectively, which were lower than those in the classical music group (35.67 ± 16.99) min, (64.28 ± 29.34) min, and (3.67 ± 1.12) times and (42.38 ± 18.96) min, (78.38 ± 37.26) min, (4.87 ± 1.46) times in the conventional treatment group, and the differences between three groups were statistically significant ( F=3.51, 3.66, and 17.56, all P<0.05). The results of the PSG sleep progression showed that the duration of the N1 stage of sleep in the five-element music group after the intervention was (95.71 ± 15.23) min, which was higher than (83.20 ± 18.34) min in the classical music group and (80.93 ± 16.47) min in the conventional treatment group, and the difference between three groups was statistically significant ( F=5.53, P<0.01); the N3 stage sleep time and the sleep percentage of the five-element music group after the intervention were respectively (84.23 ± 20.98) min and (23.98 ± 5.89)%, which were higher than (65.33 ± 18.82) min and (18.34 ± 3.78)% in the classical music group and (45.87 ± 18.65) min and (15.03 ± 5.56)% in the conventional treatment group, and the differences between three groups were statistically significant ( F=23.08, 18.50, both P<0.05). Conclusions:Both five elements music and classical music can improve the sleep quality of stroke patients, and the effect of five elements music to improve sleep is more significant.

Objective:To investigate the association between blood selenium levels and sex hormones in Chinese men aged 18-79 years.Methods:Data were derived from the China National Human Biomonitoring survey conducted in 2017-2018, with a final sample size of 5 414 men. General demographic characteristics, behavioral habits, and dietary frequency were collected through questionnaires and physical examinations. Fasting blood samples were collected to measure blood lead, serum testosterone, and estradiol levels. Complex sampling linear regression models were used to analyze the associations between blood selenium levels and testosterone, estradiol, and the testosterone/estradiol ratio, adjusting for confounding factors including age, education level, marital status, smoking status, alcohol consumption, seafood intake, soy product intake, protein supplement intake, BMI, and diabetes status.Results:The mean age of the 5 414 participants was (46.85±27.91) years; 4 774 (91.65%) were of Han ethnicity and 4 505 (86.68%) were married. The median ( Q1, Q3) blood selenium concentration in men was 97.80 (80.64, 116.99) μg/L. After adjusting for confounding factors, the complex sampling linear regression model revealed negative associations between blood selenium levels and both testosterone levels and the testosterone/estradiol ratio, with a significant linear trend ( Ptrend<0.05). Compared with the Q1 group, the β (95% CI) values for testosterone in the Q2, Q3, and Q4 groups were -0.02 (-0.06 to 0.02), -0.03 (-0.08 to 0.01), and -0.06 (-0.09 to -0.02), respectively. Similarly, the β (95% CI) values for the testosterone/estradiol ratio in the Q2, Q3, and Q4 groups were -0.01 (-0.03 to 0.02), -0.01 (-0.04 to 0.04), and -0.03 (-0.06 to -0.01), respectively. Subgroup analysis indicated stronger associations between blood selenium levels and testosterone/estradiol levels in non-smoking and obese men (BMI≥28 kg/m2). Conclusion:Blood selenium levels are negatively associated with testosterone levels and the testosterone/estradiol ratio in Chinese adult males.

Objective This study aimed to adapt the data-driven Palliative Care Outcomes Collaboration(PCOC)model to the local context and evaluate its feasibility and preliminary effectiveness in a palliative care unit in China,with the goal of informing its broader integration into national palliative care practice.Methods Based on international experience,a localized implementation protocol for the PCOC model was developed through expert con-sultations and a pilot study.The protocol incorporated key elements including organizational and managerial sup-port,team training and capacity building,information system integration,supervision and feedback mechanisms,pro-cess optimization,and data-driven decision-making.From June to December 2023,the protocol was piloted in the palliative care unit of a tertiary cancer hospital in Changsha,China.Implementation outcomes were assessed by comparing patients' urgent care response rates,symptom stability rates,and symptom improvement rates between the first 1～3 months and 4～6 months after implementation.Results During the study period,a total of 355 inpatients were enrolled,with the PCOC assessment achieving full coverage(100％)and a completion rate of 97.78％.There was no statistically significant difference in the urgent needs response rate between the first 1～3 months and the 4～6 months after the implementation of the PCOC model(P=0.533).However,compared to the first 1～3 months af-ter implementation,patients in the 4～6 months period showed significantly higher symptom stability rates for pain,psychological/spiritual issues,and family/caregiver problems,as well as a higher improvement rate for pain(P＜0.05).Conclusion The localized PCOC implementation protocol facilitates standardized assessment and symptom manage-ment,and its application can enhance the quality of palliative care.