1.Research progress on dry eye-related factors and treatment after phacoemulsification
Ao ZHANG ; Shiyi LI ; Ju HUANG ; Kang WANG ; Lin WANG ; Yingbin XIE
International Eye Science 2025;25(5):770-774
Phacoemulsification with intraocular lens implantation(Phaco+lOL)has become the main treatment for cataracts due to small incision and fast recovery. Phacoemulsification can damage the conjunctiva, cornea and other ocular surface tissues, causing local inflammation, which in turn leads to eye dryness and discomfort after surgery. According to studies, patients who suffer from phacoemulsification most experience dry eye syndrome within 24 h, which gradually worsens and reaches its peak in the following 1 wk, seriously affecting their quality of life. The review aims to comprehensively investigate the effects of preoperative patient physical conditions and local ocular status, intraoperative maneuvers and postoperative treatments on postoperative dry eye, with the expectation of formulating scientific and effective preventive measures for potential dry eye patients after phacoemulsification, and providing a theoretical basis for postoperative dry eye treatment.
2.Association between screen time and anxiety-depression symptoms and their comorbidity among middle school students in Taiyuan City
Chinese Journal of School Health 2025;46(7):980-984
Objective:
To investigate the association between screen time (ST) during leisure time and anxiety-depression symptoms among middle school students, so as to provide a basis for formulating relevant intervention measures.
Methods:
From November to December 2023, a stratified cluster random sampling method was used to select 2 542 students from junior and senior high school in Taiyuan City. A self designed questionnaire, the Generalized Anxiety Disorder Scale (GAD-7), and the Patient Health Questionnaire (PHQ-9) were used to investigate ST and anxiety/depression symptoms among middle school students. The Logistic regression model was used to explore the association of ST with symptoms of anxiety and depression, as well as with anxiety and depression comorbiditles (CAD).
Results:
The detection rates of anxiety symptoms, depression symptoms, and CAD were 13.69%, 15.77%, and 10.11%, respectively. The median ST was 2.00 h/d [interquartile range ( IQR =2.38) for weekly averages], with 0.33 h/d ( IQR =1.67) on work days and 5.00 h/d ( IQR=5.50) on rest days. Logistic regression analysis indicated that the total ST of mobile phones during rest days ( OR =1.07, 1.10, 1.11) and the averages ST of mobile phones over a week ( OR = 1.20 , 1.22, 1.29), as well as the total ST of all screen types during rest days ( OR =1.04, 1.04, 1.05) and the averages ST of all screen types over a week ( OR =1.08, 1.09, 1.21) were positively correlated with anxiety symptoms, depression symptoms, and CAD (all P <0.01).
Conclusions
Among middle school students in Taiyuan City, screen time is positively correlated with symptoms of anxiety or depression and the comorbidity of anxiety and depression, especially smartphone screen time and weekend screen use. Therefore, measures should be implemented to reduce unnecessary screen time among middle school students, especially the use of mobile phones, in order to mitigate the occurrence of anxiety and depression.
3.Design, synthesis and pharmacological evaluation of 1,2,3,4-tetrahydrobenzofuro2,3-cpyridine derivatives as p21-activated kinase 4 inhibitors for treatment of pancreatic cancer.
Yang LI ; Yan FANG ; Xiaoyu CHEN ; Linjiang TONG ; Fang FENG ; Qianqian ZHOU ; Shulun CHEN ; Jian DING ; Hua XIE ; Ao ZHANG
Acta Pharmaceutica Sinica B 2025;15(1):438-466
The p21-activated kinase 4 (PAK4), a key regulator of malignancy, is negatively correlated with immune infiltration and has become an emergent drug target of cancer therapy. Given the lack of high efficacy PAK4 inhibitors, we herein reported the identification of a novel inhibitor 13 bearing a tetrahydrobenzofuro[2,3-c]pyridine tricyclic core and possessing high potency against MIA PaCa-2 and Pan02 cell lines with IC50 values of 0.38 and 0.50 μmol/L, respectively. This compound directly binds to PAK4 in a non-ATP competitive manner. In the mouse Pan02 model, compound 13 exhibited significant tumor growth inhibition at a dose of 100 mg/kg, accompanied by reduced levels of PAK4 and its phosphorylation together with immune infiltration in mice tumor tissue. Overall, compound 13 is a novel allosteric PAK4 inhibitor with a unique tricyclic structural feature and high potency both in vitro and in vivo, thus making it worthy of further exploration.
4.β-sitosterol, an important component in the fruits of Alpinia oxyphylla Miq., prolongs lifespan of Caenorhabditis elegans by suppressing the ferroptosis pathway.
Junyi LI ; Siyuan CHEN ; Liyao XIE ; Jin WANG ; Ao CHENG ; Shaowei ZHANG ; Jiyu LIN ; Zhihan FANG ; Yirui PAN ; Chonghe CUI ; Gengxin CHEN ; Chao ZHANG ; Li LI
Journal of Southern Medical University 2025;45(8):1751-1757
OBJECTIVES:
To elucidate the anti-aging effect of β-sitosterol (BS), an important component in the fruits of Alpinia oxyphylla Miq., in C. elegans and its regulatory effect on ETS-5 gene to modulate ferroptosis.
METHODS:
C. elegans treated with 10 µg/mL BS were monitored for survival time and changes in body length, motility, and reproductive function. The effect of ETS-5 gene knockdown on survival time of C. elegans was observed, and the changes in fat accumulation and lipid redox homeostasis in the transfected C. elegans were assessed using Oil Red O staining and by detecting MDA levels and the GSH/GSSG ratio. The mRNA expression levels of ferroptosis-related genes (FTN-1, GPX-1 and AAT-9) were detected using qPCR. The effects of BS treatment and ETS-5 knockdown on AAT-9 enzyme activity in C. elegans were examined. The effect of BS on nuclear localization of FEV (the human homolog of ETS-5) was validated in cultured human umbilical venous endothelial cells (HUVECs).
RESULTS:
Both BS treatment and ETS-5 knockdown significantly prolonged the lifespan, promoted lipid accumulation and reduced lipid peroxidation in C. elegans. ETS-5 knockdown resulted in upregulated expressions of the ferroptosis repressors GPX-1, AAT-9 and FTN-1 and increased the GSH/GSSG ratio in C. elegans.
CONCLUSIONS
BS inhibits ferroptosis in C. elegans by suppressing the expression of ETS-5 transcription factor and hence the activity of AAT-9 enzyme, a key gene for ferroptosis, which in turn prolongs the lifespan of C. elegans.
Animals
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Caenorhabditis elegans/physiology*
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Ferroptosis/drug effects*
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Alpinia/chemistry*
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Sitosterols/pharmacology*
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Longevity/drug effects*
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Fruit/chemistry*
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Humans
5.Recent research progress of prenatal stress-induced disease by disrupting offspring intestinal microbiota
Yingzhi He ; Cizheng Zeng ; Xuemei Chen ; Yuwei Xie ; Dang Ao ; Ling Liu ; Wen Li
Acta Universitatis Medicinalis Anhui 2025;60(2):372-377
Abstract
Prenatal stress is a common, systemic, nonspecific stress response that occurs during pregnancy. The gut microbiota, which is known as the “second genome” of the human body, interacts with all major systems of the body. Changes in the gut microbiota can impact the development and health of infants and young children. Advances in research technology have allowed us to uncover the relationship between prenatal stress and imbalances in offspring intestinal microbiota, as well as the development of multiple systemic diseases. However, the exact mechanisms through which prenatal stress disrupts the gut microbiota of offspring remain incompletely understood. This review summarizes the existing research on diseases caused by prenatal stress disrupting the offspring intestinal flora, and seeks future research directions to expand the understanding of the pathogenesis of infant diseases.
6.Research progress of mitophagy in asthma
Yingzhi He ; You Wang ; Xuemei Chen ; Yuwei Xie ; Dang Ao ; Chuanghong Ke ; Wen Li
Acta Universitatis Medicinalis Anhui 2025;60(4):766-771
Abstract
Asthma is a well-characterized heterogeneous disease marked by airway remodeling and chronic airway inflammation. Clinically, the treatment of asthma primarily relies on hormonal drugs. However, the long-term use of these medications can lead to significant side effects. Mitophagy is a biological process that selectively transports damaged mitochondria to lysosomes for degradation. Recent research has revealed the crosstalk between mitophagy and asthma. Accordingly, taking mitophagy as an entry point, summarizing the key molecular mechanisms and regulators of mitophagy in asthma will facilitate the development of novel intervention targets and strategies for asthmatic treatment.
7.Investigation on the mechanism of action of Mailuoning in the treatment of acute kidney injury using network pharmacology
Jiamin YAN ; Leyi XIE ; Bonian CHEN ; Jianhui FAN ; Ao LI
Journal of Chongqing Medical University 2025;50(7):870-878
Objective:To investigate the protective effects of Mailuoning(MLN)against cisplatin(CP)-induced acute kidney injury(AKI)utilizing network pharmacology and to analyze the underlying mechanism of action related to anti-apoptotic pathways.Methods:Active components of MLN and targets related to AKI were identified using network pharmacology.The active components of MLN were sourced from the TCMSP and ETCM 2.0 databases.The targets of components were predicted using the Swiss Target Prediction tool,and subsequently the targets related to AKI were retrieved from the GeneCards database to identify intersecting targets.A protein-protein interaction network was constructed using the STRING database,and a topological analysis was performed using Cytoscape to identify core targets.Gene Ontology(GO)functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway en-richment analyses were conducted on these core targets.For the animal experiments,forty mice were randomly assigned to four groups:solvent control,MLN toxicity control,CP model,and CP+MLN groups.The MLN group received intraperitoneal injections of MLN at a dose of 15 mL/(kg·d)for ten consecutive days.The CP model and CP+MLN groups were administered a single intraperitoneal injec-tion of CP at 20 mg/kg on day 7.Three days after the CP treatment,plasma levels of blood urea nitrogen(BUN)and creatinine(Cre)were measured.The pathological injury of kidney tissues was as-sessed using hematoxylin-eosin staining.Western blot analysis was utilized to determine the expression of neutrophil gelatinase-associated lipocalin(NGAL)and apoptosis-related proteins in kid-ney tissues.Results:A total of 104 active components of MLN and 224 targets were identified using network pharmacology,and 2 465 targets were identified to be related to AKI,resulting in 117 intersecting targets,of which,17 targets were classified as core targets.KEGG and GO analyses indicated that the apoptosis-related signal transduction pathway might be a crucial pathway through which MLN provided protective effects against AKI.The results of animal experiments confirmed the successful establishment of CP-induced AKI models in mice.Compared with the CP model group,MLN treatment significantly reduced plasma levels of BUN and Cre(P<0.05),inhibited NGAL protein expression in the kidneys(P<0.05),and improved the pathological injury observed in kidney tissues.Furthermore,MLN markedly reduced the expression levels of p-P53(ser 15)and cleaved caspase-3 proteins,as well as the Bax/Bcl-2 ratio in kidney tissues of AKI model mice(P<0.05),while upregulating protein kinase B phosphorylation levels(P<0.05).Conclusion:MLN demonstrates protective effects against CP-induced AKI in mice,potentially through mechanisms related to its anti-apoptotic properties.
8.Research advances in IP3R calcium ion channels and respiratory system-related diseases
Xinyun XIE ; Yan HUANG ; Ao DANG ; Rong HUA ; Jiachun ZHANG ; Zhao YANG
Chongqing Medicine 2025;54(3):770-774
The pathogenesis of respiratory diseases such as chronic obstructive pulmonary disease(COPD),asthma,and pulmonary hypertension remains incompletely understood.However,accumulating evi-dence suggests that calcium ion channels play a critical role in these disorders.As a key second messenger,cal-cium ions regulates diverse physiological and pathological processes.Studies indicate that calcium ion homeo-stasis,including their concentration and distribution and spatial distribution is mediated primarily through ino-sitol 1,4,5-trisphosphate receptor(IP3R)channel.Disruption of this homeostasis may contribute to the devel-opment of COPD,asthma,and other respiratory diseases.Nevertheless,the role of IP3R channels in respirato-ry diseases require further investigation.
9.Development and validation of clinical prediction model for post-treatment recurrence in high-risk non-muscle invasive bladder cancer after BCG intravesical instillation
Haitao WANG ; Weiming LUO ; Jian CHEN ; Jian ZHANG ; Qiang RAN ; Jing XU ; Junhao JIN ; Yangkun AO ; Yapeng WANG ; Junying ZHANG ; Qiubo XIE ; Weihua LAN ; Qiuli LIU
Journal of Army Medical University 2025;47(9):959-968
Objective To investigate the factors influencing the efficacy of intravesical Bacille Calmette-Guérin(BCG)instillation after transurethral resection of bladder tumor(TURBT)in patients with intermediate-and high-risk non-muscle invasive bladder cancer(NMIBC),and to construct a prediction model for recurrence after BCG treatment.Methods A retrospective cohort study was conducted on the subjected patients diagnosed with intermediate-and high-risk NMIBC undergoing TURBT followed by standard BCG instillation.The 110 patients treated in Department of Urology of Army Medical Center of PLA from January 2018 to December 2023 were assigned into a training set,while the 52 patients treated at Department of Urology of General Hospital of Central Theater Command from January 2015 to December 2020 were into an external validation set.A total of 17 variables were included and analyzed.Univariate and multivariate Cox regression analyses were performed to identify factors associated with recurrence after BCG instillation,and nomograms were plotted to predict 1-year,3-year,and 5-year recurrence-free survival(RFS).Calibration curve,decision curve analysis(DCA),and receiver operating characteristic(ROC)curve analysis were conducted for internal and external validation to evaluate the predictive performance and clinical utility of the model.Results In the training set,26 patients(23.64%)experienced recurrence during the follow-up period,with a median RFS of 32.00(18.00~50.50)months.Univariate Cox regression analysis suggested that platelet count,eosinophil to lymphocyte ratio(ELR),neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),systemic immune inflammation(SII)index,and neutrophil-monocyte to lymphocyte ratio(NMLR),pathological T1 stage(pT1)tumor and hemoglobin,albumin,lymphocyte,and platelet(HALP)score were potential factors influencing recurrence after BCG instillation.Multivariate Cox regression analysis identified high HALP score(HR=0.185,95%CI:0.046~0.736,P=0.017)as an independent protective factor,while high ELR(HR=3.599,95%CI:1.505~8.608,P=0.004)and pT1 stage(HR=3.240,95%CI:1.191~8.818,P=0.021)were independent risk factors for recurrence.Based on this,a nomogram prediction model was constructed.The calibration curves demonstrated good agreement between predicted and actual 1-,3-,and 5-year recurrence risks.Decision curve analysis indicated clinical utility across a wide threshold probability range.In the training set,the model showed strong predictive performance for 1-(AUC=0.842),3-(AUC=0.847),and 5-year(AUC=0.887)recurrence risks,which was further validated in the external cohort.Conclusion Higher HALP score prior to BCG instillation therapy is a protective factor against tumor recurrence,while higher ELR and pT1 stage are risk factors.Our nomogram prediction model based on HALP score,ELR and pathological T stage,can identify individuals at high risk of recurrence after BCG instillation therapy.
10.Non-targeted metallomics based on synchrotron radiation X-ray fluorescence spectroscopy and machine learning for screening inorganic or methylmercury-exposed rice plants
Piaoxue AO ; Chaojie WEI ; Hongxin XIE ; Yuqian FEI ; Liwei CUI ; Wei WANG ; Chenglong TU ; Lihai SHANG ; Bai LI ; Yufeng LI
Journal of Environmental and Occupational Medicine 2024;41(10):1095-1102
Background Mercury, as a global heavy metal pollutant, poses a serious threat to human health. The toxicity of mercury depends on its chemical form. Distinguishing the forms of mercury in the environment is of great significance for mercury management and reducing human mercury exposure risks. Objective To establish a non-targeted metallomics method based on synchrotron radiation X-ray fluorescence (SRXRF) spectroscopy combined with machine learning to screen inorganic mercury (IHg) or methylmercury (MeHg) exposed rice plants. Methods Rice seeds were exposed to ultra-pure water (control group), 0.1 mg·L−1 IHg (IHg group) or MeHg (MeHg group) solutions, respectively. After germination, the seedlings were cultured for 21 d, and rice leaves were collected, dried, weighed, and pressed. The content of metallome in rice leaves was determined by SRXRF. Machine learning models including soft independent modeling cluster analysis (SIMCA), partial least squares discriminant analysis (PLS-DA), and logistic regression (LR) were used to classify the SRXRF full spectra of different groups and find the best model to distinguish rice exposed to IHg or MeHg. Besides, characteristic elements were selected as input parameters to optimize the model by improving computing speed and reducing model calculation. Results The SRXRF spectral intensities of the control group, IHg group, and MeHg group were different, indicating that exposure to IHg and MeHg can interfere the homeostasis of metallome in rice leaves. The results of principal component analysis (PCA) of SRXRF spectra showed that the control group could be well distinguished from the mercury exposed groups, but the IHg group and the MeHg group were mostly overlapped. The accuracy rates of the three models (PLS-DA, SIMCA, and LR) were higher than 98% for the training set, higher than 95% for the validation set, and higher than 94% for the cross-validation set. Besides, the accuracy of the LR model was higher than that of the PLS-DA model and the SIMCA model. Furthermore, the accuracy was 92.05% when using characteristic elements K, Ca, Mn, Fe, and Zn selected by LR to distinguish the IHg group and the MeHg group. Compared with the full spectra model, although the prediction accuracy of the characteristic spectral model decreased, the input parameters of the model decreased by 99.51%, and precision, recall, and F1 score were above 84.48%, indicating that the model could distinguish rice exposed to different mercury forms. Conclusion Non-targeted metallomics method based on SRXRF and machine learning can be applied for high-throughput screening of rice exposed to different forms of mercury and thus decrease the risks of people being exposed to mercury.


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