AIM: To investigate the correlation of degree of myopia in adolescents with axial length, corneal curvature and axial ratio.METHODS: Cross-sectional study. A total of 246 adolescents(492 eyes)aged 8-18 years consecutively enrolled for orthokeratology lens fitting at the Fifth Affiliated Hospital of Zhengzhou University between 2021 and 2023 were included based on random sampling method, with 447 eyes finally included due to the elimination of 45 eyes that did not meet the inclusion criteria. Biometric measurements under scotopic conditions assessed axial length(AL), corneal radius of curvature(CR), and AL/CR ratio. Cycloplegic refraction determined spherical equivalent(SE), classifying eyes into mild(216 eyes)or moderate(231 eyes)myopia groups. Furthermore, the correlation of degree of myopia with AL, CR and AL/CR was analyzed by multiple linear regression analysis.RESULTS: A statistically significant difference in myopia severity was observed between the 8-12-year-old and 13-18-year-old age groups(all P<0.001). There were statistically significant differences between mild and moderate groups in SE, AL and AL/CR(all P<0.001). Linear regression analysis revealed significant negative correlations of SE with AL and AL/CR(r=-0.531, -0.598, all P<0.001). The areas under the ROC curve(AUC)for predicting moderate myopia were 0.812(95% CI: 0.773-0.852)for AL/CR combined with gender and age, 0.800(95% CI: 0.759-0.841)for AL/CR alone, 0.726(95% CI: 0.680-0.773)for AL alone, and 0.548(95% CI: 0.494-0.601)for CR alone. The optimal AL/CR cut-off value for predicting moderate myopia was 3.189(sensitivity: 0.632, specificity: 0.852), suggesting its potential as a clinical threshold.CONCLUSION: In adolescents with mild-to-moderate myopia, AL/CR, AL, and SE showed significant negative correlations. The combination of AL/CR with gender and age demonstrated the highest diagnostic accuracy for SE. AL/CR shows independent predictive value for myopia degree in adolescents, irrespective of refractive status.

Poly(ADP-ribose) polymerase 1 (PARP1) is a multifunctional protein involved in diverse cellular functions, notably DNA damage repair. Pharmacological inhibition of PARP1 has therapeutic benefits for various pathologies. Despite the increased use of PARP inhibitors, challenges persist in achieving PARP1 selectivity and effective blood-brain barrier (BBB) penetration. The development of a PARP1-specific positron emission tomography (PET) radioligand is crucial for understanding disease biology and performing target occupancy studies, which may aid in the development of PARP1-specific inhibitors. In this study, we leverage the recently identified PARP1 inhibitor, AZD9574, to introduce the design and development of its ¹⁸F-isotopologue ([¹⁸F]AZD9574). Our comprehensive approach, encompassing pharmacological, cellular, autoradiographic, and in vivo PET imaging evaluations in non-human primates, demonstrates the capacity of [¹⁸F]AZD9574 to specifically bind to PARP1 and to successfully penetrate the BBB. These findings position [¹⁸F]AZD9574 as a viable molecular imaging tool, poised to facilitate the exploration of pathophysiological changes in PARP1 tissue abundance across various diseases.

Abstract Alzheimer′s disease(AD) is a common neurodegenerative disease. It has been found that AD is related to various pathogenic factors such as genetics, cardiovascular and cerebrovascular disease, and excessive phosphorylation of tau protein. However, no definitive conclusions on its pathogenesis have been reached. In this paper, the research progress on the pathogenesis of AD inC.elegansmodel and the therapeutic effects of traditional Chinese medicine extracts on AD are reviewed, providing a basis for further research on the alleviating effects of Chinese medicine extracts on AD.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

Background and objective Both of lung cancer incidence and mortality rank first among all cancers in China.Previous lung cancer screening trials were mostly selective screening for high-risk groups such as smokers.Non-smoking women accounted for a considerable proportion of lung cancer cases in Asia.This study aimed to evaluate the outcome of community-based mass screening in Guangzhou and identify the high-risk factors for lung cancer.Methods Residents aged 40-74 years in Guangzhou were screened with low-dose computed tomography(LDCT)for lung cancer and the pulmonary nodules were classified and managed according to China National Lung Cancer Screening Guideline with Low-dose Computed Tomography(2018 version).The detection rate of positive nodules was calculated.Before the LDCT examination,residents were required to complete a"lung cancer risk factors questionnaire".The risk factors of the questionnaire were analyzed by least absolute shrinkage and selection operator(LASSO)penalized Logistic regression analysis.Results A total of 6256 residents were included in this study.1228 positive nodules(19.63％)and 117 lung cancers were confirmed,including 6 cases of Tis,103 cases of stage Ⅰ(accounting for 88.03％of lung cancer).The results of LASSO penalized Logistic regression analysis indicated that age ≥50 yr(OR=1.07,95％CI:1.06-1.07),history of cancer(OR=3.29,95％CI:3.22-3.37),textile industry(OR=1.10,95％CI:1.08-1.13),use coal for cooking in childhood(OR=1.14,95％CI:1.13-1.16)and food al-lergy(OR=1.10,95％CI:1.07-1.13)were risk factors of lung cancer for female in this district.Conclusion This study highlighted that numerous early stages of lung cancer cases were detected by LDCT,which could be applied to screen-ing of lung cancer in women.Besides,age ≥50 yr,personal history of cancer,textile industry and use coal for cooking in childhood are risk factors for women in this district,which suggested that it's high time to raise the awareness of early lung cancer screening in this group.

Objective To systematic evaluate the effectiveness and safety of driving pressure-guided fixed positive end-expiratory pressure(PEEP)titration in intraoperative mechanical ventilation.Methods PubMed,Web of Science,the Cochrane Library,Embase,CNKI,Wanfang and VIP databases were searched for collect randomized controlled trials(RCTs)of PEEP titration guided by driving pressure in intraoperative mechanical ventilation from inception to November 8,2023.After two researchers independently screened the literature,extracted data,and evaluated the risk of bias of the included studies,the meta-analysis was conducted by Rev-Man 5.4 software.Results Nineteen studies with a total of 2 906 patients were included.There were 1 440 patients in the study group with the lung protective ventilation strategy guided by PEEP titration,and 1 466 patients in the control group with the traditional lung protective ventilation strategy.Compared with the con-trol group,the incidence of postoperative pulmonary complications(PPCs)in the study group was lower in the non-thoracic surgery(RR=0.53,95%CI:0.43-0.65,P<0.001),but there was no statistical difference in the incidence of PPCS in the thoracic surgery(RR=0.89,95%CI:0.78-1.02,P=0.09).Compared with the control group,the intraoperative lung compliance was increased(MD= 6.90 L/cmH2O,95%CI:5.80-7.99,P<0.001),and the length of hospital stay was shortened in the study group(MD=-0.27 d,95%CI:-0.43 to-0.12,P<0.001),while there was no significant difference in intraoperative mean arterial pres-sure(MAP)between the two groups(MD=0.36 mmHg,95%CI:-1.30 to 2.01,P=0.67).Conclusion Com-pared with the traditional lung protective ventilation,driving pressure-guided PEEP titration ventilation can im-prove intraoperative lung compliance,reduce the incidence of PPCs in non-thoracic surgery,shorten the length of hospital stay,and does not increase the risk of hemodynamic disturbances in patients undergoing surgery.

AIM: To study the degree of astigmatism, axial distribution and axial symmetry pattern of binocular astigmatism in primary and secondary school students aged 7-18 years with myopia.METHODS:A total of 239 cases(478 eyes)of primary and secondary school students aged 7-18 years who underwent keratoplasty for myopia correction at the Fifth Affiliated Hospital of Zhengzhou University from 2020 to 2022 were randomly selected, and optometry was performed under ciliary muscle paralysis and was statistically analyzed.RESULTS:Astigmatism degree: 0.25 to 1.00 D accounted for 78.5%, 1.25 to 2.00 D accounted for 17.1%, and >2.00 D accounted for 4.4%. The axial distribution of astigmatism: 86.6% was astigmatism with the rule, 5.9% was astigmatism against the rule, and 7.5% was oblique astigmatism; both genders and different astigmatism degrees were dominated by astigmatism with the rule, and there were differences with the other two axes(both P<0.05). Axial symmetry pattern of astigmatism: the median axial difference in astigmatism between the direct symmetry model and the mirror symmetry model was 7° and 10°, respectively, with no statistical significance in both models(P=0.158), and there was no difference between the two in gender, degree of astigmatism, and axial distribution of astigmatism, but in the age group of 7-12 years old, the difference between the axial astigmatism of the direct symmetry model and the mirror symmetry model was statistically significant(P=0.027).CONCLUSION:The axial distribution of binocular astigmatism in myopic primary and middle school students is mostly astigmatism with the rule; the degree of astigmatism is more common from 0.25 to 1.0 D; however, there is no tendency for axial symmetry pattern of astigmatism.

With the development of digital technology， an increasing number of artificial intelligence （AI） technologies are being applied in the field of public health， significantly improving the efficiency of healthcare systems. However， such technological advancement also introduces a series of ethical risks. In this article， we conducted a systematic review by searching nine domestic and international databases and analyzing the ethical issues related to AI in public health， ultimately including 158 articles. Based on the analysis of the included literature， ethical risks were categorized into four aspects： data， algorithms， rights and responsibilities， and social impact. A total of 15 key issues were identified， among which privacy and confidentiality， informed consent， data security， and fairness， justice and inclusion emerged as the most prominent issues. The ethical challenges posed by AI in the field of public health cannot be ignored， and it is necessary to formulate ethical guidelines and practical recommendations for AI in this field， establish sound regulatory and review mechanisms， thereby ensuring the healthy development of AI research in public health.

Diarrhea-irritable bowel syndrome （IBS-D） is one of the common functional bowel diseases in clinical practice. Since it pathogenesis is complex and has not been fully elucidated， effective treatment methods remains to be developed for this disease. Establishing the animal models of IBS-D in accordance with the clinical characteristics of traditional Chinese medicine （TCM） and Western medicine helps to reveal the pathogenesis of this disease and improve the treatment plan. The fitting degree of an animal model with clinical characteristics is an indicator to evaluate the effectiveness of the animal model in simulating the disease characteristics of Western medicine and the syndromes of TCM based on the latest diagnostic standards. By reviewing the relevant articles about the animal models of IBS-D， we discovered that rats were the preferred animals for modeling， and the models were mainly induced by single factors， double factors， or the combination of multiple factors. The established animal models mainly present symptoms or signs associated with visceral hypersensitivity or/and gastrointestinal motility abnormalities. The single factor-induced rat models of IBS-D had high fitting degrees with the clinical characteristics of Western medicine but low fitting degrees with the TCM syndromes. The animal models induced by two or more factors had high but varied fitting degrees with the clinical characteristics of Western medicine. In addition， the animal models of IBS-D considering TCM syndromes mainly focuses on the syndrome of liver depression and spleen deficiency， and few models were established for the syndromes of spleen-kidney Yang deficiency， spleen-stomach dampness-heat， spleen deficiency and dampness excess， and cold and heat in complexity. Therefore， it is essential to improve the existing or develop new animal models of IBS-D in the future， so as to provide more tools for deciphering the mechanisms of TCM and Western medicine and developing treatment methods for this disease.