Objective: To investigate the relationship between physical development indicators and the onset and progression of myopia among children and adolescents, so as to provide theoretical support for coordinated vision and physical health management. Methods: A prospective cohort study was conducted. In September 2022, 3 102 students from grade one in primary school to grade three in junior high school (five year primary school and four year junior high school) from six schools in Huantai County, Shandong Province, were selected using multistage cluster random sampling method to participate in an epidemiological survey on myopia, with follow up completed in September 2023. Follow up value minus baseline value( d ) was used to assess changes in physical development and vision indicators. Multivariate Logistic regression analysis was used to examine the relationship between physical development indicators and the incidence of myopia. Generalized linear models were established to analyze the relationship between physical development indicators and changes in d spherical equivalent (SE) and d axial length (AL) . Results: Multivariate Logistic regression analysis showed that, after adjusting for factors such as gender, age, and baseline body mass index, the third ( Q 3)and fourth ( Q 4)quartiles of d height showed increased risks of myopia onset within one year compared to the first quartile( Q 1) ( OR =1.85,95% CI =1.18-2.88; OR =1.74,95% CI =1.09-2.78,both P ＜0.05). Results from the generalized linear model indicated that, after adjusting for confounding factors such as gender, age, and baseline SE, d SE was negatively correlated with d height and d weight in children and adolescents ( β =-0.024, 95% CI =-0.031 to -0.018; β =-0.006, 95% CI =-0.011 to -0.001), d AL was positively correlated with d height and d weight in children and adolescents ( β =0.011, 95% CI =0.008-0.013; β =0.005, 95% CI =0.003-0.007) (all P ＜0.05). Conclusions Physical development indicators in children and adolescents were associated with the onset and progression of myopia. Dynamic monitoring and early intervention of myopia should be strengthened for children and adolescents with rapid height and weight gain to achieve coordinated management of myopia and physical development.

Objective:To analyze the correlation between near work, screen time, outdoor time and myopia in children based on objective monitoring technology and to explore the influencing factors related to myopia in children.Methods:A cross-sectional study was conducted.From October 2022 to March 2023, the purposive sampling method was used to select 596 children in Grade 2 and Grade 3 from two primary schools in Shandong Province as study subjects.Eye-Monitor technology of eye-use behavior based on artificial intelligence was used to quantify parameters of near work, screen time and outdoor time.The eye-use behavior parameters were compared within each subject and between non-myopic and myopic children on weekdays and weekends.A multivariate binary logistic regression model was constructed to analyze the influencing factors related to myopia.The study protocol was approved by the Medical Ethics Committee of the Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine (No.HEC-HY-2022023KY).Written informed consent was obtained from the legal guardian of each subject.Results:For each subject, the proportion of near work time on weekdays was greater than on weekends, the proportion of time spent looking at cell phones, computer screens, and outdoor activities was smaller, the duration of single continuous near eye use was longer, the tilt angle of the head in sitting position was greater, and the light intensity was stronger, showing statistically significant differences ( t=19.427, -9.964, -5.916, -10.470, 2.211, 2.898, 15.061; all P<0.05).During weekdays, compared with the non-myopia group, the myopia group had longer total near work duration, longer single continuous near eye use duration, shorter outdoor activity duration, closer eye use distance, larger proportion of near work time, and smaller proportion of outdoor activity time, showing statistically significant differences (all P<0.05).During weekends, compared with the non-myopia group, the myopia group had longer time spent looking at cell phones and computer screens, shorter outdoor activity time, greater proportion of time spent looking at cell phones and computer screens, and smaller proportion of outdoor activity time, with statistically significant differences (all P<0.05).During weekdays, after adjusting for confounding factors, longer single continuous near eye use duration ( OR=1.138, 95% CI: 1.086-1.192, P<0.001) was the risk factor for myopia, and longer working distance ( OR=0.906, 95% CI: 0.847-0.970, P=0.004) and longer outdoor activity time ( OR=0.127, 95% CI: 0.023-0.703, P=0.018) were protective factors for myopia.During weekends, after adjusting for confounding factors, longer time spent on looking at cell phone screens ( OR=2.437, 95% CI: 1.460-4.068, P<0.001) and longer time spent on looking at computer screens ( OR=2.260, 95% CI: 1.283-3.979, P=0.005) were risk factors for myopia, and longer outdoor activity time ( OR=0.624, 95% CI: 0.416-0.934, P=0.022) was the protective factor for myopia. Conclusions:The eyes with continuous near work, prolonged use of smartphone and computer screens, closer eye use distance, and less time spent outdoors have been confirmed to be significantly correlated with myopia based on objective monitoring data.When formulating intervention measures for myopia prevention and control in children, it is advocated to further pay attention to control the distance and duration of near work on weekdays and strengthen screen time management on weekends.

Objective:To analyze the correlation between near work, screen time, outdoor time and myopia in children based on objective monitoring technology and to explore the influencing factors related to myopia in children.Methods:A cross-sectional study was conducted.From October 2022 to March 2023, the purposive sampling method was used to select 596 children in Grade 2 and Grade 3 from two primary schools in Shandong Province as study subjects.Eye-Monitor technology of eye-use behavior based on artificial intelligence was used to quantify parameters of near work, screen time and outdoor time.The eye-use behavior parameters were compared within each subject and between non-myopic and myopic children on weekdays and weekends.A multivariate binary logistic regression model was constructed to analyze the influencing factors related to myopia.The study protocol was approved by the Medical Ethics Committee of the Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine (No.HEC-HY-2022023KY).Written informed consent was obtained from the legal guardian of each subject.Results:For each subject, the proportion of near work time on weekdays was greater than on weekends, the proportion of time spent looking at cell phones, computer screens, and outdoor activities was smaller, the duration of single continuous near eye use was longer, the tilt angle of the head in sitting position was greater, and the light intensity was stronger, showing statistically significant differences ( t=19.427, -9.964, -5.916, -10.470, 2.211, 2.898, 15.061; all P<0.05).During weekdays, compared with the non-myopia group, the myopia group had longer total near work duration, longer single continuous near eye use duration, shorter outdoor activity duration, closer eye use distance, larger proportion of near work time, and smaller proportion of outdoor activity time, showing statistically significant differences (all P<0.05).During weekends, compared with the non-myopia group, the myopia group had longer time spent looking at cell phones and computer screens, shorter outdoor activity time, greater proportion of time spent looking at cell phones and computer screens, and smaller proportion of outdoor activity time, with statistically significant differences (all P<0.05).During weekdays, after adjusting for confounding factors, longer single continuous near eye use duration ( OR=1.138, 95% CI: 1.086-1.192, P<0.001) was the risk factor for myopia, and longer working distance ( OR=0.906, 95% CI: 0.847-0.970, P=0.004) and longer outdoor activity time ( OR=0.127, 95% CI: 0.023-0.703, P=0.018) were protective factors for myopia.During weekends, after adjusting for confounding factors, longer time spent on looking at cell phone screens ( OR=2.437, 95% CI: 1.460-4.068, P<0.001) and longer time spent on looking at computer screens ( OR=2.260, 95% CI: 1.283-3.979, P=0.005) were risk factors for myopia, and longer outdoor activity time ( OR=0.624, 95% CI: 0.416-0.934, P=0.022) was the protective factor for myopia. Conclusions:The eyes with continuous near work, prolonged use of smartphone and computer screens, closer eye use distance, and less time spent outdoors have been confirmed to be significantly correlated with myopia based on objective monitoring data.When formulating intervention measures for myopia prevention and control in children, it is advocated to further pay attention to control the distance and duration of near work on weekdays and strengthen screen time management on weekends.

Objective: To investigate the distribution of pupil diameter and its association with myopia in school age children, providing ideas into the mechanisms of the role of pupil diameter in the onset and development of myopia. Methods: Adopting a combination of stratified cluster random sampling and convenience sampling method, 3 839 children from six schools in Shandong Province were included in September 2021. Pupil diameters distribution was analyzed by age, sex, and myopic status. Pearson correlation analysis was used to assess the relationship between pupil diameter and cycloplegic spherical equivalent (SE), as well as axial length (AL) and other variables. Propensity score matching (PSM) was applied to match myopic and non myopic children at a 1∶1 ratio based on age and sex. A generalized linear model (GLM) was constructed with pupil diameter as the dependent variable to identify independent factors influencing pupil size and its association with myopia. Results: The mean pupil diameter of school age children was (5.77±0.80)mm. Pupil diameter exhibited a significant increasing trend with age ( F =49.34， P trend ＜ 0.01). Myopic children had a significantly larger mean pupil diameter [(6.10±0.73)mm] compared to non myopic children [(5.62±0.79)mm] with a statistically significant difference( t=18.10, P <0.01). Multivariable GLM analysis, adjusted for age, amplitude of accommodation, and uncorrected visual acuity, revealed a negative correlation between pupil diameter and cycloplegic SE (before PSM: β =-0.089, after PSM: β =-0.063, both P ＜0.01). Conclusions Myopic school age children exhibite larger pupil diameters than their non myopic counterparts. Pupil diameter may serve as a potential indicator for monitoring myopia development in school age children.

OBJECTIVE: To investigate the predictive value of oxygenation index (PaO₂/FiO₂) at intensive care unit (ICU) admission on 30-day mortality in patients with sepsis. METHODS: A retrospective study was conducted. Patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to October 2023 were enrolled. The demographic information, comorbidities, sites of infection, vital signs and laboratory test indicators at the time of admission to the ICU, disease severity scores within 24 hours of admission to the ICU, treatment process and prognostic indicators were collected. According to the PaO₂/FiO₂ at ICU admission, patients were divided into Q1 group (PaO₂/FiO₂ of 4.1-16.4 cmHg, 1 cmHg ≈ 1.33 kPa), Q2 group (PaO₂/FiO₂ of 16.5-22.6 cmHg), Q3 group (PaO₂/FiO₂ of 22.7-32.9 cmHg), and Q4 group (PaO₂/FiO₂ of 33.0-94.8 cmHg). Differences in the indicators across the four groups were compared. Multifactorial Cox regression analysis was used to assess the relationship between PaO₂/FiO₂ and 30-day mortality of patients with sepsis. The predictive value of PaO₂/FiO₂, sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) on 30-day prognosis of patients with sepsis was analyzed by receiver operator characteristic curve (ROC curve). RESULTS: A total of 1 711 patients with sepsis were enrolled, including 428 patients in Q1 group, 424 patients in Q2 group, 425 patients in Q3 group, and 434 patients in Q4 group. 622 patients died at 30-day, the overall 30-day mortality was 36.35%. There were statistically significant differences in age, body mass index (BMI), history of smoking, history of alcohol consumption, admission heart rate, respiratory rate, APACHE II score, SOFA score, Glasgow coma score (GCS), site of infection, Combined chronic obstructive pulmonary disease (COPD), blood lactic acid (Lac), prothrombin time (PT), albumin (Alb), total bilirubin (TBil), pH, proportion of mechanical ventilation, duration of mechanical ventilation, proportion of vasoactive medication used, and maximal concentration, length of ICU stay, hospital stay, incidence of acute kidney injury, in-hospital mortality, 30-day mortality among the four groups. Multivariate Cox regression analysis showed that after adjusting for confounding factors, for every 1 cmHg increase in PaO₂/FiO₂ at ICU admission, the 30-day mortality risk decreased by 2% [hazard ratio (HR) = 0.98, 95% confidence interval (95%CI) was 0.98-0.99, P < 0.001]. The 30-day mortality risk in the Q4 group was reduced compared with the Q1 group by 41% (HR = 0.59, 95%CI was 0.46-0.76, P < 0.001). The fitted curve showed that a curvilinear relationship between PaO₂/FiO₂ and 30-day mortality after adjustment for confounders. In the inflection point analysis, for every 1 cmHg increase in PaO₂/FiO₂ at PaO₂/FiO₂ < 28.55 cmHg, the risk of 30-day death in sepsis patients was reduced by 5% (HR = 0.95, 95%CI was 0.94-0.97, P < 0.001); when PaO₂/FiO₂ ≥ 28.55 cmHg, there was no statistically significant association between PaO2/FiO2 and the increase in the risk of 30-day death in sepsis (HR = 1.01, 95%CI was 0.99-1.02, P = 0.512). ROC curve analysis showed that the area under the curve (AUC) for the prediction of 30-day mortality by admission PaO₂/FiO₂ in ICU sepsis patients was 0.650, which was lower than the predictive ability of the SOFA score (AUC = 0.698) and APACHE II score (AUC = 0.723). CONCLUSION In patients with sepsis, PaO₂/FiO₂ at ICU admission is strongly associated with 30-day mortality risk, alerting healthcare professionals to pay attention to patients with low PaO₂/FiO₂ for timely interventions.
Humans ; Sepsis/mortality* ; Intensive Care Units ; Retrospective Studies ; Prognosis ; Hospital Mortality ; Oxygen ; Male ; Predictive Value of Tests ; Female ; Middle Aged ; Aged

Conventional cancer therapies, such as radiotherapy and chemotherapy, often damage normal cells and may induce new tumors. Oncolytic viruses (OVs) selectively target tumor cells while sparing normal cells. Most OVs used in clinical trials have been genetically engineered to enhance their ability to target tumor cells and activate immune responses. To develop a specific OV-based approach for treating cervical cancer, this study constructed an oncolytic adenovirus that delivered a base editor targeting oncogenes to achieve efficient killing of tumor cells through inhibiting tumor growth and directly lysing tumor cells. We utilized the human telomerase reverse transcriptase (TERT) promoter to drive the expression of adenovirus early region 1A (E1A) and successfully constructed the P-hTERT-E1A-GFP vector, which was validated for its activity in cervical cancer cells. Given the critical role of the MYC oncogene in the research of oncology, identifying efficient editing sites for the MYC oncogene is a key step in this study.Three MYC-targeting gRNAs were engineered and co-delivered with ABE8e base editor plasmids into HEK293T cells. Following puromycin selection, Sanger sequencing demonstrated differential editing efficiencies: MYC-1 (43%), MYC-2 (25%), and MYC-3 (35%), identifying MYC-1 as the most efficient editing locus. By constructing the P-ABEs-hTERT-E1A-GFP and P-MYC gRNA-hTERT-E1A-GFP vectors, we successfully packaged the virus and confirmed its specificity and efficacy. The experimental results demonstrate that this novel oncolytic adenovirus effectively inhibits the growth of HeLa cells in vitro, providing new experimental evidence and potential strategies for treating cervical cancer based on the HeLa cell model.
Humans ; Uterine Cervical Neoplasms/pathology* ; Oncolytic Viruses/genetics* ; Female ; HEK293 Cells ; Oncolytic Virotherapy/methods* ; Adenoviridae/genetics* ; Gene Editing/methods* ; Telomerase/genetics* ; Adenovirus E1A Proteins/genetics* ; Genetic Vectors/genetics* ; HeLa Cells

Tumor-associated macrophage(TAM)play a crucial role in the immune microenvironment of lung can-cer.Through changes in their phenotype and phagocytic functions,TAM contribute to the initiation and progression of lung cancer.By promoting the formation of an immune-suppressive microenvironment and accelerating the growth of abnormal tumor vasculature,TAM facilitate the invasion and metastasis of lung cancer.Macrophages can polarize into different subtypes with distinct functions and characteristics in response to various stimuli,categorized as anti-tumor M1 and pro-tumor M2 types.In tumor tissues,TAM typically polarize into the alternatively activated M2 phenotype,exhibiting inhibitory effects on tumor immunity.This article reviews the role of anti-angiogenic drugs in modulating TAM phenotypes,highlighting their po-tential to reprogram M2-type TAM into an anti-tumor M1 phenotype.Additionally,the functional alterations of TAM play a significant role in anti-angiogenic therapy and immunotherapy strategies.In summary,the regulation of TAM polarization and function opens up new avenues for lung cancer treatment and may serve as a novel target for modulating the immune microen-vironment of tumors.

Objective:To evaluate the accuracy and stability of Eye-Monitor, a smart wearable device, in quantifying environmental risks related to myopia.Methods:A diagnostic test study was conducted.Forty-two subjects aged 18-25 years old were recruited from Shandong University of Traditional Chinese Medicine in December 2021.Forty-two Eye-Monitors were selected from 80 devices using the simple random sampling method.Static and dynamic tests were carried out to compare environmental risks related to myopia.The static tests included measurements under different working distances, different head tilt angles when sitting, and different light intensities.The dynamic tests included measurements under different near-work time, different outdoor activity time, different time watching computers, and different phone viewing time.Eye-Monitor with the largest sum of absolute values of total relative error was selected, Spearman rank correlation analysis was used to analyze the correlation between the set values and Eye-Monitor measurements, and the accuracy of the objectively measured values was evaluated by Bland-Altman consistency analysis.The stability of the objectively measured values from Eye-Monitor was evaluated by the coefficient of variation.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of the Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine (No.HEC-KS-2021005KY). Written informed consent was obtained from each subject.Results:There were significant correlations between the measured values and setting values in the working distance, head tilt angle when sitting, indoor light intensity, total near-work time, average continuous near-work time, outdoor activity time, time watching computers, and time viewing phones ( rs=0.999, 0.998, 0.999, 0.998, 0.976, 0.959, 0.992, 0.997; all at P<0.001), with the 95% limits of agreement (LoA) of-1.23-2.32 cm, -1.49-4.24°, -13.90-26.90 lx, -6.46-0.11 minutes, -4.50-1.20 minutes, -4.01-1.34 minutes, -2.54-1.94 minutes and-2.15-0.45 minutes, respectively.More than 95% of dots were within the clinically acceptable LoA.The coefficients of variation of the measured values ranged from 1.23%-2.99%, 2.39%-8.25%, 0.87%-8.03%, 1.49%-12.52%, 6.63%-13.59%, 0.00%-14.15%, 1.20%-8.33 and 1.49%-12.51%, respectively, showing good stability.Eye-Monitor had good accuracy in measuring outdoor light intensity (95% LoA: -336.50-130.00 lx). Conclusions:The smart wearable device Eye-Monitor can be used to objectively monitor working distance, head tilt angle when sitting, indoor light intensity, total near-work time, average continuous near-work time, outdoor activity time, time watching computers, and time watching phones, which are with good accuracy and stability.

T cell immunoreceptor with immunoglobulin and immunoreceptor tyrosine-based inhibition motif domain (TIGIT) is a newly discovered immune checkpoint molecule, mainly expressed on the surface of T cells and natural killer (NK) cells. By binding to cluster of differentiation 155 (CD155) and other ligands, it inhibits T cell and NK cell-mediated immune responses and affects the tumor microenvironment. Multiple preclinical studies have demonstrated that the TIGIT/CD155 pathway plays a role in a variety of solid and hematological tumors. Clinical trials investigating TIGIT inhibitors alone or in combination with programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) inhibitors for lung cancer are currently underway.
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Humans ; Lung Neoplasms/drug therapy* ; Immunotherapy ; Thorax ; Immunologic Factors ; Receptors, Immunologic ; Tumor Microenvironment

Treatment of advanced non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutation with EGFR-tyrosine kinase inhibitors (EGFR-TKIs) can achieve good disease control, but it will inevitably produce drug resistance. About 3%-10% of the resistance mechanism is small cell transformation. Two cases of stage IV lung adenocarcinoma with EGFR mutation were reported and the disease was controlled after EGFR-TKIs treatment. In case 1, progression-free survival (PFS) before small cell carcinoma transformation was 16 months, and in case 2, PFS before small cell carcinoma transformation was 24 months. Subsequent biopsy after disease progression indicated a shift to small cell lung cancer. Case 1 PFS after small cell carcinoma transformation was 6 months, and case 2 PFS after small cell carcinoma transformation was 8 months, and overall survival (OS) was 36 months, which significantly prolonged the patient's survival. At the same time, the literature of such drug resistance mutations was reviewed. For patients with advanced NSCLC with sensitive mutations, it is necessary to conduct secondary histopathological tests after TKIs treatment resistance, and select subsequent treatment according to different resistance mechanisms for the whole course of disease management.
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Humans ; Carcinoma, Small Cell ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Adenocarcinoma/genetics* ; Small Cell Lung Carcinoma/genetics* ; ErbB Receptors/genetics*