Dry eye disease(DED)is a common ocular surface disorder worldwide, primarily characterized by a loss of homeostasis of the tear film, and frequently associated with meibomian gland dysfunction(MGD), decreased tear film stability, ocular discomfort, and visual impairment. In recent years, factors such as the widespread use of digital devices,the aging population, and environmental changes have contributed to a significant increase in its global prevalence, making it a major public health concern. Red light therapy(RLT), also known as low-level laser therapy(LLLT)or photobiomodulation(PBM), is a non-invasive treatment that utilizes low-energy red or near-infrared light to irradiate tissues. It exerts photobiomodulatory effects to promote cellular repair and functional recovery. This therapy has demonstrated considerable potential in treating various ocular conditions. Its broader clinical application could improve therapeutic outcomes, alleviate patient discomfort and financial burden, and reduce the consumption of healthcare resources, thereby yielding significant socio-economic benefits. This paper systematically reviews the multifaceted mechanisms and application prospects of RLT in managing DED, including its anti-inflammatory effects, improvement of meibomian gland function, promotion of conjunctival goblet cell repair, and alleviation of visual fatigue, aiming to provide a theoretical foundation and practical reference for its clinical adoption.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

Objective To evaluate the application of shear wave elastography(SWE)in the diagnosis of peripheral neuropathy in patients with diabetes.Methods Totally 85 patients with type 2 diabetes(T2DM)were selected from the Chengdu Office Hospital of People's Government of Tibetan Autonomous Region,including 46 patients with peripheral neuropathy(DPN)and 39 patients without peripheral neuropathy(NDPN).Compared for clinical data(gender,age,disease duration),cross-sectional area of the median nerve measured by high-frequency ultra-sound(CSA)and shear wave elastography(SWE)parameters(mean Young's modulus value,Emean)and shear wave velocity(SWV)between two groups of patients.Multifactor Logistic regression analysis was carried out on the indicators between the above groups to screen independent predictors in the diagnosis of peripheral neuropathy in diabetes patients,and a combined model was constructed.The area under the operating characteristic curve(AUC),sensitivity and specificity of the subjects were used to evaluate the diagnostic efficacy of the single model and com?bined model of the quantitative parameters(CSA,Emean,SWV)measured by clinical data,high?frequency ultra?sound and SWE in the diagnosis of peripheral neuropathy in diabetes patients.Results Age,course of disease,Emean,SWV and CSA were statistically significant in the diagnosis of peripheral neuropathy in diabetes patients(all P<0.05).AUC was 0.658,0.754,0.839,0.822 and 0.736,respectively.The combination model based on disease course,CSA and SWV showed the highest diagnostic efficiency,with AUC,sensitivity,and specificity of 0.887(0.800-0.946),80.43％,and 84.62％,respectively.Conclusions The combined model based on the course of disease,CSA and SWV have a high diagnostic efficiency in peripheral neuropathy of diabetes patients,and has good clinical application value.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.

Objective To comparatively observe the value of 131I whole-body scanning(WBS)and 131I-SPECT/CT for evaluating residual thyroid tissue,lymph node and distant metastasis,as well as risk of recurrence of differentiated thyroid cancer(DTC)after surgical resection and initial radioactive iodine(RAI)treatment.Methods Totally 367 DTC patients who underwent initial RAI treatment after surgical resection and then 131I-WBS and 131I SPECT/CT scanning were retrospectively collected.131I-WBS and 131I SPECT/CT were compared for identifying residual thyroid,lymph node and distant metastases.According to follow-up results,the risk of DTC recurrence was evaluated based on 131I-WBS and 131I-SPECT/CT,respectively.Results Residual thyroid was detected in 353 cases and suspected in 3 cases with 131 I-WBS,which was diagnosed in 349 cases with 131I-SPECT/CT,and no significant difference was found between 2 methods(P=0.289).131I-WBS detected 36 cases with and suspected 67 cases with lymph node metastases,312 without distant metastases,while 131I-SPECT/CT diagnosed lymph node metastases in 52 cases;131I-WBS detected 20 cases with and suspected 35 cases with distant metastases,while 131I-SPECT/CT diagnosed 60 cases with distant metastases but could not diagnose in 3 cases,304 without distant metastases.The detection rate of 131I-SPECT/CT for lymph node and distant metastasis were both higher than that of 131I-WBS(P=0.018,P＜0.001).During follow-up period,there were 94 cases with low risk,155 with medium risk and 118 with high risk of DTC recurrence according to 131I-SPECT/CT,while 116 cases of low risk,137 of medium risk and 114 of high risk based on 131I-SPECT/CT,and the evaluating results were different between 2 methods in 40 cases(40/367,10.90％).Conclusion Compared with 131I-WBS,131I-SPECT/CT had better clinical value for evaluating lymph node and distant metastases and assessing recurrence risk of DTC after initial RAI treatment.

Purpose To investigate the role of ultrasound-guided fine needle aspiration cytology(US-FNAC)in the diagnosis of breast cancer.Methods Fine needle aspiration cytology(FNAC)samples of 203 patients with breast cancer were selected and prepared by liquid-based cytology.The results of histopathology after neoadjuvant therapy were used as the gold standard to compare with the diagnostic results of FNAC samples,and then evaluated the diagnos-tic coincidence rate of FNAC samples.Results Of 203 axillary lymph node FNAC samples,111 cases were diagnosed as positive,38 cases were diagnosed as suspicious for positivity,and 54 cases were diagnosed as negative.The diag-nostic accuracy of FNAC was 85.2％,the sensitivity of FNAC was 98.0％,and the specificity of FNAC was 90.0％.Conclusion FNAC has high sensitivity and accuracy in the diagnosis of axillary lymph node metastasis.Sentinel lymph node biopsy is recommended for patients with negative FNAC but clinically and radiographically suspected lymph node metastasis.

Objective:To evaluate the efficacy and safety of eculizumab in treating acute attacks of aquaporin-4 antibody(AQP4-IgG)positive neuromyelitis optica spectrum disorder(NMOSD).Methods:Six patients with AQP4-IgG-positive NMOSD treated with eculizumab at the Affiliated Hospital of Qingdao University from August 2023 to April 2024 were included.The patients' clinical characteristics, changes in scores of neurological function, pain and spasm before and after eculizumab treatment, and adverse drug reactions during the treatment period were described, and the data were subjected to Friedman test using SPSS 25.0.Results:The median score of expanded disability status scale in the six patients decreased from 3.25 before treatment to 1.25 after treatment, and the difference was statistically significant ( F=44.77, P<0.01).The functional status score showed noticeable improvement as early as week 1, demonstrating greater sensitivity to treatment response.Three patients experienced moderate to severe pain before treatment, with a mean pain score of 6, which reduced to 4.67 and 1.33 at week 2 and 6, respectively( F=29.17, P<0.05).Two patients reported spasms before treatment, with a mean score of 3.00, which decreased to 2.00, 1.50, and 1.00 at week 2, 3, and 6 after treatment, respectively( F=18.00, P>0.05).No serious adverse reactions were reported during the treatment. Conclusion:Eculizumab can effectively improve the neurological function and alleviate pain in patients with AQP4-IgG-positive NMOSD during acute attacks, and demonstrate good safety.

Objective To observe the feasibility and accuracy of simplified prenatal ultrasonic evaluation on fetal bilateral lateral fissures.Methods A total of 513 pregnant women with gestational ages ranging from 20-34 weeks were prospectively enrolled.Transabdominal ultrasound screening of fetal bilateral lateral ventricular fissures on the transforaminal plane were performed,the ultrasonic display rate and characteristics like morphology of bilateral lateral fissures were recorded,and a simple grading system(3 levels)was applied for evaluating the fissures.Fetuses with abnormalities were further examined with MR,amniotic fluid/cord blood tests or whole-exome sequencing of umbilical cord tissue after birth.The pregnancy outcomes were documented.Results Normal fetal bilateral lateral fissures were observed using simplified prenatal ultrasonic evaluation in 500 fetuses whom were then successfully delivered,and normal cortical development was found in these 500 newborns,while abnormalities were detected in 13 fetuses.The display rate of transabdominal ultrasound on transforaminal plane for fetal bilateral lateral ventricular fissures was 92.20％(473/513).From 20 to 34 weeks,the morphology of bilateral lateral fissures could be simply graded into 3 levels:Level 1 presented as a shallow arc shape from 20-22 weeks,Level 2 presented as a blunt or right-angled broad platform from 22-26 weeks,and Level 3 presented as an acute-angled broad platform from 25-34 weeks.In 500 fetuses with normal development,the morphology of the near-field lateral fissures consistently developed in parallel with the far-field lateral fissures as gestational age increased.Among 13 fetuses with abnormal findings,abnormalities of bilateral lateral fissures were found in 8 fetuses,while unilateral abnormality was noticed in 5 fetuses.MR examination of all 13 fetuses and amniotic fluid whole-genome sequencing of 9 fetuses indicated abnormal cortical development.Conclusion Simplified prenatal ultrasound based on transforaminal column cross-section could conveniently and accurately classify morphology of fetal bilateral lateral sulcus.

Aim To study the possibility of luteolin(LUT)as a new drug of traditional Chinese medicine and its improving effect on glucose and lipid metabo-lism and liver oxidative stress injury in db/db mice,and to explore the possible mechanism.Methods AI was used to predict the drug toxicity,evaluate the phys-ical and chemical properties and segment the molecular structure of LUT.Molecular docking was used to verify the binding ability of LUT with Nrf2 and HMOX1;db/m mice were divided into the group C,and db/db mice were randomly divided into the T,L,M,H and P groups.The body weight and FBG changes were ob-served within 12 weeks of intervention.The expres-sions of FBG,HbA1c,Fins,TC,TG,HDL-C,LDL-C were detected.The pathomorphological changes and steatosis of mouse liver were observed by HE and oil red O staining.The expression of MDA,SOD and GSH-Px in liver was detected by Kit.The protein and mRNA expressions of Nrf2 and HMOX1 were detected by immunohistochemistry,WB and qPCR.Results AI algorithm predicted the safety and easy synthesis of LUT.LUT intervention had no significant effect on the body weight of db/db mice.After 12 weeks,compared with the group C,the livers of mice in group T showed disordered structure of hepatic lobules,irregular ar-rangement of hepatocytes,and a large number of fat vacuoles and lipid droplets in the cytoplasm.Compared with the group T,LUT intervention could improve the pathological changes of liver,reduce the expression of FBG,HbA1c,fins,TC,TG,LDL-C,MDA,improve the level of HOMA-IR,and upregulate the activities of SOD and GSH-Px.Molecular docking results showed LUT had strong binding with Nrf2 and HMOX1,and could increase the expression of Nrf2 and HMOX1.Conclu-sion LUT can correct the disorder of glucose and lip-id metabolism in db/db mice,and improve the level of oxidative stress in liver of mice through Nrf2/HMOX1 pathway,which has the development prospect as a new Chinese medicine for the treatment of T2DM.