1.Research progress of red light therapy for dry eye and visual fatigue
Yutong XIE ; Siyu JIA ; Jiamin GAO ; Ruofan LIU ; Meiling LI ; Jiangying LI ; Xi LUO ; Xiaonan LI ; Rong YAN ; Hongbo LI
International Eye Science 2026;26(4):636-640
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.
2.Epidemiological characteristics and disease burden of liver cancer in Guangdong Province
Ying ZHANG ; Yixuan CHEN ; Rong CAO ; Yue GAO ; Yutong HAN ; Ye WANG ; Ruilin MENG ; Xueyan ZHENG ; Yu LIAO ; Zhuanping ZENG
Journal of Public Health and Preventive Medicine 2026;37(1):68-72
Objective To analyze the epidemiological characteristics and disease burden of liver cancer in Guangdong Province in 2020, and to provide a scientific foundation for the development of regionalized prevention and control strategies for liver cancer. Methods According to the cancer registry data of Guangdong Province, the incidence, mortality and age-standardized rate by Chinese standard population in 2020 were calculated to analyze the epidemiological characteristics of liver cancer. The disability adjusted life years (DALYs), year of life loss (YLL), year of lived with disability (YLD), and cause-eliminated life expectancy were used to assess the disease burden of liver cancer. Results In 2020, the crude incidence rate and the age-standardized incidence rate of liver cancer in Guangdong Province were 27.79/100 000 and 20.84/100 000,respectively, and the crude mortality rate and the age-standardized mortality rate of liver cancer were 25.49/100,000 and 17.64/100 000, respectively. The total DALY and DALY rate of liver cancer in Guangdong Province were 515 311 person-years and 513.83/100 000, respectively. After eliminating the causes of death from liver cancer, the life expectancy in Guangdong Province increased from 84.60 years to 84.99 years. All indicators consistently demonstrated that the burden of liver cancer was higher in males than that in females, and the burden of liver cancer was higher in rural areas than that in urban areas. Conclusion Liver cancer in Guangdong Province exhibits a high incidence, mortality and disease burden level in 2020. There are obvious differences of gender, age and region in cancer burden. It is necessary to strengthen liver cancer screening and diagnosis and treatment in men, the elderly and those in rural areas to reduce the burden of liver cancer gradually in Guangdong Province.
3.Analysis of related factors for the comorbidity of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia
Chinese Journal of School Health 2026;47(1):27-31
Objective:
To investigate the factors influencing the co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia, so as to provide a data foundation and theoretical basis for developing targeted intervention measures.
Methods:
In September and October 2024, a stratified cluster random sampling method was employed to select 139 102 students from 539 schools across 12 leagues/cities and 103 banners/counties in Inner Mongolia Autonomous Region. Participants who were diagnosed with allergic rhinitis by a doctor at least once within one year and had a body mass index ≥ 28 kg/m 2 were considered to have comorbid conditions.
Results:
The coprevalence rate of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia was 6.4% (8 931 cases). Lasso-Logistic regression revealed that nonboarding status, higher maternal education, consuming high protein foods ≥1 time daily, occasionally or never eating breakfast, engaging in moderate to vigorous physical activity for ≥60 minutes on fewer than half of holidays, and having been exposed to second hand smoke in person within the past seven days were associated with higher odds ratios for co-prevalence of allergic rhinitis and obesity( OR = 1.23 , 1.22-1.63, 1.20, 1.19, 1.38, 1.35); being female, higher grade level, residence in flag/county/district areas, non only child status, never having consumed a full glass of alcohol, non hypertensive status, and households without pets were associated with lower co-prevalence risks ( OR =0.65, 0.67-0.77, 0.81, 0.87, 0.73, 0.41, 0.68) (all P <0.05). The ROC curve indicated an area under the curve of 0.64 for the predictive model, demonstrating satisfactory discriminatory ability. The calibration curve showed consistency between predicted and actual occurrence probabilities.
Conclusions
The co-prevalence of allergic rhinitis and obesity among primary and secondary school students in Inner Mongolia is closely associated with demographic characteristics, dietary behaviours, and lifestyle habits. Future prevention and control strategies should prioritize these factors to implement targeted interventions.
4.Analysis of the current status and influencing factors of attitudes and competence in hospice care among nursing interns
Shipeng SUN ; Yan JIA ; Wei ZHAO ; Rong WANG ; Xin GAO
Chinese Medical Ethics 2026;39(5):663-668
ObjectiveTo investigate the attitudes and competence of nursing interns toward hospice care, analyze the key factors influencing their performance, and provide targeted improvement suggestions to enhance their comprehensive quality. MethodsA total of 273 undergraduate nursing interns were investigated. General demographic data were collected, and the Chinese version of the Frommelt Attitude Toward Care of the Dying Scale, Form B (FATCOD-B) and the Hospice Care Competency Assessment Questionnaire were administered to evaluate their attitudes and competence in hospice care. A total of 270 valid questionnaires were recovered. Multiple linear regression was performed to analyze the influencing factors of hospice care attitudes and competence among nursing interns. ResultsThe total score of hospice care attitudes was (76.04±12.18) among these 270 nursing interns. Having cared for critically ill patients, receiving hospice care-related education, and experiencing the loss of relatives or friends in the past year were positive influencing factors for their hospice care attitudes, whereas avoidance of talking about death was a negative influencing factor. The total score of hospice care competence was (42.75±4.68). Having cared for critically ill patients and receiving hospice care-related education represented positive influencing factors for their hospice care competence. ConclusionThe hospice care attitudes and competence of nursing interns are all at moderate levels. It is necessary to strengthen education and training on hospice care for nursing interns, improve the ability of nurses, and provide assistance for the development of hospice care.
5.Guidelines for the management of therapeutic drug monitoring
Zhengxiang LI ; Liyan MIAO ; Rong DUAN ; Xiaocong ZUO ; Xianglin ZHANG ; Zhuo WANG ; Miao YAN ; Lingli ZHANG ; Rongsheng ZHAO ; Suodi ZHAI ; Guobiao GAO ; Jinhui TIAN
China Pharmacy 2026;37(11):1381-1392
OBJECTIVE To further standardize the technical operations and management processes throughout therapeutic drug monitoring (TDM), clarify the clinical value of TDM implementation, improve the scientific validity and reliability of monitoring results, and provide a solid reference basis for the formulation and optimization of clinical individualized precision dosing regimens. METHODS The Guidelines for the Management of Therapeutic Drug Monitoring were formulated in accordance with the latest definition of guidelines by the Institute of Medicine of the National Academies and the standard guideline development methodology of the World Health Organization, and in compliance with the requirements of the appraisal of guidelines for research and evaluation. A modified Delphi method was adopted to establish the research question system; evidence-based medicine research methods were applied to systematically search multiple databases to screen the latest and most comprehensive evidence. Evidence was graded and evaluated based on the evidence grading system of the Chinese Evidence-Based Medicine Center, and the grading criteria for recommendation strength from the Oxford Centre for Evidence-Based Medicine were used to determine the recommendation strength. The recommendation opinions were formed through multidisciplinary expert consensus. RESULTS The Guidelines for the Management of Therapeutic Drug Monitoring cover four core modules, including TDM application indications, technical procedures, result interpretation and clinical application, and quality control, involving 18 primary research questions, 34 secondary research questions, and yield 82 recommendations. CONCLUSIONS The guidelines systematically standardize the key technical links and management requirements of the whole TDM process, provide scientific and operable standardized tools, help improve the standardization level of TDM work, promote the translation of monitoring results into clinical decision-making, and provide strong support for precision personalized medicine and ensuring the safety and rationality of medication use.
6.Diagnostic value of serum lncRNA H19 and miR-22-3p in patients with acute myocardial infarction
Sheng ZHAO ; Dinghong LIU ; Mengyu ZHU ; Li RONG ; Wei CHENG ; Yanlin GAO
Acta Universitatis Medicinalis Anhui 2026;61(5):855-860
ObjectiveTo explore the expression levels of long non-coding RNA (lncRNA) H19 and microRNA-22-3p (miR-22-3p) in the serum of patients with acute myocardial infarction (AMI) and their diagnostic value for AMI. MethodsA total of 176 AMI patients were selected as the experimental group and were divided into ST-segment elevation myocardial infarction (STEMI) group (n=95) and non-ST-segment elevation myocardial infarction (NSTEMI) group (n=81) based on their medical history and electrocardiogram. Meanwhile, 156 patients with negative angiography during the same period were selected as the control group (CON group). The relative expression levels of lncRNA H19 and miR-22-3p in the serum of the two groups were detected by real-time fluorescence quantitative polymerase chain reaction. The diagnostic value of miR-22-3p and lncRNA H19 in AMI was evaluated by receiver operating characteristic curve (ROC) analysis. The levels of serum cardiac troponin I (cTnI), creatine kinase (CK), creatine kinase MB isoenzyme (CK-MB), and high-sensitivity C-reactive protein (CRP) were detected in all study subjects. Spearman correlation analyses were used to evaluate the correlations between lncRNA H19 and miR-22-3p and cTnI, CK, CK-MB and CRP. ResultsCompared with the control group, the expression level of lncRNA H19 was upregulated and the expression level of miR-22-3p was downregulated in the AMI group (all P<0.01); compared with the NSTEMI group, the expression level of lncRNA H19 was upregulated and the expression level of miR-22-3p was downregulated in the STEMI group (P<0.01). The areas under the ROC curves (AUC) for the diagnosis of AMI by miR-22-3p, lncRNA H19 and their combination were 0.555, 0.977, and 0.983, respectively. lncRNA H19 was positively correlated with cTnI, CK, CK-MB and CRP (P<0.05), and negatively correlated with left ventricular ejection fraction (LVEF) (P<0.001); miR-22-3p was negatively correlated with cTnI, CK and CRP, and positively correlated with LVEF (P<0.05). ConclusionThe expression level of lncRNA H19 is elevated and the expression level of miR-22-3p decreased in AMI patients, and their levels may have potential value as an auxiliary biomarker for AMI diagnosis and cardiac function assessment.
7.The Valvular Heart Disease-specific Age-adjusted Comorbidity Index (VHD-ACI) score in patients with moderate or severe valvular heart disease.
Mu-Rong XIE ; Bin ZHANG ; Yun-Qing YE ; Zhe LI ; Qing-Rong LIU ; Zhen-Yan ZHAO ; Jun-Xing LV ; De-Jing FENG ; Qing-Hao ZHAO ; Hai-Tong ZHANG ; Zhen-Ya DUAN ; Bin-Cheng WANG ; Shuai GUO ; Yan-Yan ZHAO ; Run-Lin GAO ; Hai-Yan XU ; Yong-Jian WU
Journal of Geriatric Cardiology 2025;22(9):759-774
BACKGROUND:
Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD.
METHODS & RESULTS:
The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology.
CONCLUSION
The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.
8.Construction of a treatment response prediction model for multiple myeloma based on multi-omics and machine learning.
Xionghui ZHOU ; Rong GUI ; Jing LIU ; Meng GAO
Journal of Central South University(Medical Sciences) 2025;50(4):531-544
OBJECTIVES:
Multiple myeloma (MM) is a hematologic malignancy characterized by clonal proliferation of plasma cells and remains incurable. Patients with primary refractory multiple myeloma (PRMM) show poor response to initial induction therapy. This study aims to develop a machine learning-based model to predict treatment response in newly diagnosed multiple myeloma (NDMM) patients, in order to optimize therapeutic strategies.
METHODS:
NDMM and post-treatment MM patients hospitalized in the Department of Hematology, Third Xiangya Hospital, Central South University, between August 2022 and July 2023 were enrolled. Post-treatment MM patients were categorized into PRMM patients and treatment-responsive MM (TRMM) patients based on therapeutic efficacy. Serum metabolites were detected and analyzed via metabolomics. Based on the metabolomics analysis results and combined with transcriptomic sequencing data of NDMM patients from databases, differentially expressed amino acid metabolism-related genes (AAMGs) among post-treatment NDMM patients with varying therapeutic outcomes were screened. Using bioinformatics analyses and machine learning algorithms, a predictive model for treatment response in NDMM was constructed and used to identify patients at risk for PRMM.
RESULTS:
A total of 61 patients were included: 22 NDMM, 23 TRMM, and 16 PRMM patients. Significant differences in metabolite levels were observed among the 3 groups, with differential metabolites mainly enriched in amino acid metabolism pathways. Follow-up data were available for 16 of the 22 NDMM patients, including 12 treatment responders (ND_TR group) and 4 with PRMM (ND_PR group). A total of 23 differential metabolites were identified between these 2 groups: 6 metabolites (e.g., tryptophan) were upregulated and 17 (e.g., citric acid) were downregulated in the ND_TR group. Transcriptomic data from 108 TRMM and 77 PRMM patients were analyzed to identify differentially expressed AAMGs, which were then used to construct a prediction model. The area under the receiver operating characteristic curve (AUC) for the model exceeded 0.8, and AUC values in 3 external validation cohorts were all above 0.7.
CONCLUSIONS
This study delineated the metabolic alterations in MM patients with different treatment response, suggesting that dysregulated amino acid metabolism may be associated with poor treatment response in PRMM. By integrating metabolomics and transcriptomics, a machine learning-based predictive model was successfully established to forecast treatment response in NDMM patients.
Humans
;
Multiple Myeloma/drug therapy*
;
Machine Learning
;
Male
;
Female
;
Metabolomics/methods*
;
Middle Aged
;
Aged
;
Treatment Outcome
;
Transcriptome
;
Computational Biology
;
Adult
;
Multiomics
9.Clinical application of a novel quantum dot immunofluorescence method for rapid detection of IgE in nasal secretions in the diagnosis of allergic rhinitis.
Ru GAO ; Tiansheng WANG ; Yu CHEN ; Shasha HUANG ; Rong LI ; Wei LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(6):542-547
Objective:This study aims to evaluate the clinical utility of total IgE (tIgE) and specific IgE (sIgE) levels in nasal secretions for diagnosing allergic rhinitis. The investigation is enhanced through an improved method of nasal secretion collection and advanced quantum dot immunofluorescence detection technology. Methods:A total of 88 subjects were enrolled in this study, and demographic data and clinical characteristics were collected through standardized questionnaires. Anterior rhinoscope was used to check the local condition of the nasal cavity. Each participant underwent skin prick test(SPT). The total IgE(tIgE) and sIgE in nasal secretions were quantitatively analyzed by improved nasal secretion collection strategy and quantum dot immunofluorescence method, and the correlation between them and clinical symptoms and signs was discussed. The receiver operating characteristic curve(ROC) was used to calculate the optimum threshold and detection efficiency of total IgE and sIgE in nasal secretions. Results:The improved method successfully collected nasal secretions from all subjects. Based on SPT results, participants were categorized into three groups: normal control (20 cases), non-allergic rhinitis (22 cases), and allergic rhinitis (46 cases). Analysis showed that both tIgE and sIgE levels in nasal secretions correlated with nasal symptoms and signs. A tIgE level of ≥9.42 IU/mL was identified as a cut-off for allergic rhinitis diagnosis, demonstrating an 85.37% agreement with SPT results. Furthermore, cut-off values for house dust mite sIgE (≥0.34 IU/mL) and dermatophagoides Farinae sIgE (≥0.41 IU/mL) yielded a diagnostic agreement of 97.56% with SPT. Notably, two patients in the non-allergic rhinitis group tested negative for SPT but positive for dust mite sIgE in nasal secretions and exhibited positive results in the nasal provocation test, indicating potential local allergic rhinitis. Conclusion:The assessment of tIgE and mite-specific IgE levels in nasal secretions presents a rapid, reliable, and non-invasive approach for diagnosing allergic rhinitis, particularly in cases of local allergic rhinitis.
Humans
;
Immunoglobulin E/analysis*
;
Quantum Dots
;
Male
;
Female
;
Adult
;
Young Adult
;
Middle Aged
;
Rhinitis, Allergic/immunology*
;
Adolescent
;
Fluorescent Antibody Technique/methods*
;
Case-Control Studies
;
Nasal Mucosa/immunology*
10.Enhanced radiotheranostic targeting of integrin α5β1 with PEGylation-enabled peptide multidisplay platform (PEGibody): A strategy for prolonged tumor retention with fast blood clearance.
Siqi ZHANG ; Xiaohui MA ; Jiang WU ; Jieting SHEN ; Yuntao SHI ; Xingkai WANG ; Lin XIE ; Xiaona SUN ; Yuxuan WU ; Hao TIAN ; Xin GAO ; Xueyao CHEN ; Hongyi HUANG ; Lu CHEN ; Xuekai SONG ; Qichen HU ; Hailong ZHANG ; Feng WANG ; Zhao-Hui JIN ; Ming-Rong ZHANG ; Rui WANG ; Kuan HU
Acta Pharmaceutica Sinica B 2025;15(2):692-706
Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [64Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [64Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [64Cu]QM-2303 from the bloodstream. Administration of a single dose of [177Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [64Cu]/[177Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [64Cu]/[177Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.


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