1.ADAR1 Regulates the ERK/c-FOS/MMP-9 Pathway to Drive the Proliferation and Migration of Non-small Cell Lung Cancer Cells.
Li ZHANG ; Xue PAN ; Wenqing YAN ; Shuilian ZHANG ; Chiyu MA ; Chenpeng LI ; Kexin ZHU ; Nijia LI ; Zizhong YOU ; Xueying ZHONG ; Zhi XIE ; Zhiyi LV ; Weibang GUO ; Yu CHEN ; Danxia LU ; Xuchao ZHANG
Chinese Journal of Lung Cancer 2025;28(9):647-657
BACKGROUND:
Double-stranded RNA-specific adenosine deaminase 1 (ADAR1) binds to double-stranded RNA and catalyzes the deamination of adenosine (A) to inosine (I). The functional mechanism of ADAR1 in non-small cell lung cancer (NSCLC) remains incompletely understood. This study aimed to investigate the prognostic significance of ADAR1 in NSCLC and to elucidate its potential role in regulating tumor cell proliferation and migration.
METHODS:
Data from The Cancer Genome Atlas (TCGA) and cBioPortal were analyzed to assess the correlation between high ADAR1 expression and clinicopathological features as well as prognosis in lung cancer. We performed Western blot (WB), cell proliferation assays, Transwell invasion/migration assays, and nude mouse xenograft modeling to examine the phenotypic changes and molecular mechanisms induced by ADAR1 knockdown. Furthermore, the ADAR1 p150 overexpression model was utilized to validate the proposed mechanism.
RESULTS:
ADAR1 expression was significantly elevated in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues compared with adjacent non-tumor tissues (LUAD: P=3.70×10-15, LUSC: P=0.016). High ADAR1 expression was associated with poor prognosis (LUAD: P=2.03×10-2, LUSC: P=2.81×10-2) and distant metastasis (P=0.003). Gene Set Enrichment Analysis (GSEA) indicated that elevated ADAR1 was associated with mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) pathway activation, matrix metalloproteinase-9 (MMP-9) expression, and cell adhesion. ADAR1 and MMP-9 levels showed a strongly positive correlation (P=6.45×10-34) in 10 lung cancer cell lines, highest in H1581. Knockdown of ADAR1 in H1581 cells induced a rounded cellular morphology with reduced pseudopodia. Concomitantly, it suppressed cell proliferation, invasion, migration, and in vivo tumorigenesis. It also suppressed ERK phosphorylation and downregulated cellular Finkel-Biskis-Jinkins murine osteosarcoma viral oncogene homolog (c-FOS), MMP-9, N-cadherin, and Vimentin. Conversely, ADAR1 p150 overexpression in PC9 cells enhanced ERK phosphorylation and increased c-FOS and MMP-9 expression.
CONCLUSIONS
High ADAR1 expression is closely associated with poor prognosis and distant metastasis in NSCLC patients. Mechanistically, ADAR1 may promote proliferation, invasion, migration, and tumorigenesis in lung cancer cells via the ERK/c-FOS/MMP-9 axis.
Humans
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Lung Neoplasms/physiopathology*
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Adenosine Deaminase/genetics*
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Matrix Metalloproteinase 9/genetics*
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Cell Proliferation
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Carcinoma, Non-Small-Cell Lung/physiopathology*
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Cell Movement
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Animals
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Mice
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RNA-Binding Proteins/genetics*
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Female
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Male
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Cell Line, Tumor
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Proto-Oncogene Proteins c-fos/genetics*
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Middle Aged
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MAP Kinase Signaling System
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Gene Expression Regulation, Neoplastic
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Mice, Nude
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Extracellular Signal-Regulated MAP Kinases/genetics*
2.Assoication between 24 hour activity time allocation and active health levels among college students in Yinchuan City
CHEN Miao, ZHAI Suo, DING Wenqing, YIN Ding
Chinese Journal of School Health 2025;46(7):950-955
Objective:
To explore the potential classification of 24 hour activity time allocation among college students in Yinchuan and its association with active health levels, so as to provide references for optimizing activity time allocation to enhance active health levels.
Methods:
From November 18 to December 6, 2024, a stratified cluster random sampling method was used to select 2 422 first and second year college students from full time undergraduate institutions in Yinchuan. The Chinese College Students 24 hour Movement Behaviors Questionnaire (24 h MBQ) and Active Health Behavior Scale were used to assess 24 hour activity time allocation and evaluate active health levels. Latent profile analysis (LPA) was employed to categorize activity types, and a binary Logistic regression analysis was conducted to analyze the relationship between active health levels and activity types.
Results:
A total of 1 087 students (44.9%) were found of meeting active health standards, and significant statistical differences were found in active health levels across different genders, grades, academic qualities, sources of origin and academic categories ( χ 2= 22.03 , 7.65, 25.50, 10.12, 43.44, all P <0.01). Moreover, significant statistical differences could also be found among college students 24 hour activity time across different genders, ages, grades, sources of origin, academic qualities, and academic categories ( t/Z/H/F=-5.70-111.39, P <0.05).The 24 hour activity time allocation was classified into four types:academic high ( 6.9 %), low activity rest (8.8%), light activity (67.8%), and high activity dynamic (16.4%). Significant statistical differences were observed in activity time allocation categories across different ages, academic qualities and academic categories ( χ 2=15.52-108.46, all P <0.05). Using the high activity dynamic type as a reference, the light activity type ( OR=0.39, 95%CI =0.31-0.50), low activity rest type ( OR=0.10, 95%CI =0.06-0.15), and academic high type ( OR=0.03, 95%CI =0.02-0.07) had lower active health levels among college students (all P <0.01).
Conclusion
There is a significant difference in 24 hour activity time allocation among college students in Yinchuan, and different activity types are associated with active health levels.
3.Association of metabolic score for insulin resistance with bone mineral content and bone metabolic markers among adolescents
LIU Jianxi, SHI Longkai, CHEN Linlin, XU Yingli, DING Wenqing
Chinese Journal of School Health 2025;46(10):1498-1502
Objective:
To investigate the relationship of metabolic score for insulin resistance (METS-IR) with bone mineral content (BMC) and bone metabolic markers levels among adolescents, so as to provide a scientific foundation for the early identification and prevention of bone related diseases.
Methods:
From 2017 to 2019 and 2023, a total of 1 414 adolescents aged 12-18 years from Yinchuan were selected using a method combining convenient sampling with stratified cluster random sampling. The data of basic information, body mass index, BMC, serum osteocalcin (OC), type I collagen cross linked C-terminal peptide (CTX) and calcium (Ca), METS-IR among adolescents were obtained by questionnaire survey, physical measurement and laboratory examination,and METS-IR was divided into four groups Q1-Q 4 according to P 25 , P 50 and P 75 . Logistic regression models combined with restricted cubic splines were employed to analyze the relationship between METS-IR and low BMC as well as low bone metabolic markers. The receiver operating characteristic (ROC) curve was used to evaluate METS-IR effectiveness in diagnosing low BMC.
Results:
The levels of BMC, OC, CTX, Ca and METS-IR in the surveyed adolescents were (2.66±0.52)kg, (20.49±13.77) ng/mL , (2 460.89±1 818.96)pg/mL, (2.47±0.67)mmol/L, 30.63±7.58. After adjusting for gender, age and physical activity level, METS-IR in Q 4 group had a reduced risk of low BMC and low CTX [ OR (95% CI )=0.03(0.01-0.07), 0.45(0.32-0.65)] and an elevated risk of low OC [ OR (95%CI )=1.85(1.28-2.67)], compared with the Q 1 group (all P <0.05). Gender stratified analyses revealed similar trends for both males and females (all P <0.05). Non linear dose response relationships were observed between METS-IR and low BMC ( P total trend <0.01, P non linearity =0.01), as well as low OC ( P total trend <0.01, P non linearity =0.01), while a linear relationship was detected with low CTX ( P total trend <0.01, P non linearity =0.72). ROC curves revealed that METS-IR had the best diagnostic performance for low BMC (AUC=0.85, 95% CI=0.82-0.88, P <0.01).
Conclusions
Higher METS-IR score is linked to reduced risk of low BMC and CTX but increase risk of low OC among adolescents. These findings suggest METS-IR is a reliable indicator for assessing BMC and early predicting bone health risk among adolescents.
4.Depression Syndrome Typing and Medication Pattern Analysis Through Unsupervised Clustering Combined With Latent Structure Dual Analysis
Huanxi ZHU ; Cheng YU ; Xuejun LI ; Ruixue WANG ; Yongjun CHEN ; Taiyi WANG ; Wenqing WU ; Lin YAO
Journal of Sichuan University (Medical Sciences) 2025;56(3):656-664
Objective Depression,a most common psychiatric disease,is defined in Traditional Chinese Medicine(TCM)as Yu Syndrome,i.e.,depression disorder,or Baihe Disease,i.e.,lily bulb disease,a category of emotional disorders treated with lily-based TCM preparations.In TCM,depression is managed through syndrome differentiation and treatment,which is characterized by high efficacy and safety.However,there is no unified standard for the classification of depression syndromes,which leads to a disconnection between the analysis of patients'medication patterns and their actual syndromes and hinders the study of medication patterns specific to particular syndromes.Therefore,this study is focused on investigating the medication patterns of different sub-types of depression patients based on an objective classification system of depression.Methods We searched for and retrieved clinical literature on TCM formulas for depression from relevant databases,including China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP Database,Sinomed,Web of Science,and PubMed.Information on patient symptoms and medication was standardized.Then,the symptoms and the medication frequency of depression patients were statistically analyzed.We used the K-means clustering method combined with implicit structural analysis to objectively categorize depression patients into sub-types.In addition,the main symptoms and core TCM formulas of each sub-type of depression patients were identified.On the basis of objective classification system,we also statistically analyzed the characteristics of herbs used on depression patients,including the 4 basic properties,the 5 flavors,the attributes,the therapeutic efficacy,and the co-occurrence patterns,which may help reveal the medication patterns.Results A total of 3 537 publications and 4 434 prescriptions were included in the analysis.By using the K-means algorithm and latent structure analysis methods,patients with depression were categorized into 9 sub-types,with Cluster 6 accounting for the largest proportion.The most common symptoms among depression patients were insomnia and a depressed mood.Medication frequency analysis showed that Radix Bupleuri(Chai Hu),Radix Paeoniae Alba(Bai Shao),Poria(Fu Ling),Rhizoma Chuanxiong(Chuan Xiong),and Radix Curcumae(Yu Jin)were the most commonly used TCM herbs.For the depression sub-types of Clusters 1,2,and 6,blood-activating and stasis-dissolving herbs were used most often.The depression sub-types of Clusters 3,4,5,8,and 9 were mainly treated with qi-regulating herbs,while the depression sub-type of Cluster 7 was treated with qi-supplementing herbs.Depression patients were mostly treated with herbs that were cold or warm in nature and had sweet,bitter,and pungent flavors.Moreover,treatments for Cluster 1 and Cluster 6 mainly targeted the spleen meridian,while those for Cluster 2,Cluster 3,Cluster 4 and Cluster 5 mainly targeted the heart meridian.The treatments for the other sub-types mainly targeted the liver meridian.The core TCM formulas for the 9 depression sub-types included Zishui Qinggan Decoction,Danzhi Xiaoyao Powder,Huanglian Wendan Tang,Chaihu Guizhi Tang,Modified Xiaoyao Powder,Qinggan Jieyu Tang,Xiaoyao Powder,Xuefu Zhuyu Decoction,and Bazhen Decoction.The most commonly used Chinese herbal medicinal formulas were Gan Cao-Chai Hu,Bai Shao-Chai Hu,and Chen Pi-Chai Hu.Conclusion Based on machine learning,this study reveals the scientific aspects of TCM typing and syndrome-based treatment.It clarifies the rationale for targeting different symptoms in depression treatment and provides theoretical support for clinicians to make medication prescriptions.It also presents a new perspective for investigating TCM medication patterns.
5.Research progress on frailty in elderly patients after PCI
Yang CHEN ; Yumeng ZHANG ; Wanjun CHEN ; Wenqing CAI ; Yajing SU ; Qingyin LI
Chinese Journal of Modern Nursing 2025;31(12):1547-1553
Frailty, an increasingly prominent clinical syndrome in the elderly population, is characterized by declining physiological reserves, weaker homeostatic maintenance, and increased sensitivity to environmental stress. Incidence of frailty increases with age and is a risk factor for a wide range of adverse health outcomes. This paper reviews the evolution of the definition of frailty, theoretical models, and commonly used methods of frailty assessment in elderly patients with coronary heart disease, further analyzes the current status of frailty in elderly patients after PCI and its association with poor prognosis, and identifies the next key research directions, aiming to provide valuable references and insights for the research and practice of nursing staff and scientific researchers.
6.Establishment of percutaneous coronary intervention nursing registration platform
Chuan GAO ; Yunyi XIE ; Yang CHEN ; Yumeng ZHANG ; Yuyang ZHANG ; Yajing SU ; Wenqing CAI ; Qingyin LI
Chinese Journal of Nursing 2025;60(6):666-670
Objective To construct a nursing registry platform for percutaneous coronary intervention(PCI)to provide data support for subsequent real-world research on PCI nursing.Methods From April to December 2023,we established a variable list and data dictionary based on literature review and expert discussion,and constructed a web-based PCI nursing registry platform based on registry-related standards.Results A total of 191 variables were screened in this study,and a corresponding data dictionary was developed for each variable according to the variable name,variable code,variable definition,variable type,variable value range,data source and data collection node.Three levels of account privileges has been set up in the platform,which can realize different data management privileges,and the data can be saved only after filling in and reviewing at each level.The platform is also equipped with automatic data checking function,which reduces data filling errors and improves data quality.Conclusion The constructed PCI nursing registration platform has strong scientific and professional characteristics,and can provide data support for subsequent research,and the content and functions of the platform can be further optimized in the future.
7.Imaging poly(ADP-ribose) polymerase-1 (PARP1) in vivo with 18F-labeled brain penetrant positron emission tomography (PET) ligand.
Xin ZHOU ; Jiahui CHEN ; Jimmy S PATEL ; Wenqing RAN ; Yinlong LI ; Richard S VAN ; Mostafa M H IBRAHIM ; Chunyu ZHAO ; Yabiao GAO ; Jian RONG ; Ahmad F CHAUDHARY ; Guocong LI ; Junqi HU ; April T DAVENPORT ; James B DAUNAIS ; Yihan SHAO ; Chongzhao RAN ; Thomas L COLLIER ; Achi HAIDER ; David M SCHUSTER ; Allan I LEVEY ; Lu WANG ; Gabriel CORFAS ; Steven H LIANG
Acta Pharmaceutica Sinica B 2025;15(10):5036-5049
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.
8.Establishment of percutaneous coronary intervention nursing registration platform
Chuan GAO ; Yunyi XIE ; Yang CHEN ; Yumeng ZHANG ; Yuyang ZHANG ; Yajing SU ; Wenqing CAI ; Qingyin LI
Chinese Journal of Nursing 2025;60(6):666-670
Objective To construct a nursing registry platform for percutaneous coronary intervention(PCI)to provide data support for subsequent real-world research on PCI nursing.Methods From April to December 2023,we established a variable list and data dictionary based on literature review and expert discussion,and constructed a web-based PCI nursing registry platform based on registry-related standards.Results A total of 191 variables were screened in this study,and a corresponding data dictionary was developed for each variable according to the variable name,variable code,variable definition,variable type,variable value range,data source and data collection node.Three levels of account privileges has been set up in the platform,which can realize different data management privileges,and the data can be saved only after filling in and reviewing at each level.The platform is also equipped with automatic data checking function,which reduces data filling errors and improves data quality.Conclusion The constructed PCI nursing registration platform has strong scientific and professional characteristics,and can provide data support for subsequent research,and the content and functions of the platform can be further optimized in the future.
9.Quality of inpatient medical records based on quality control indicators for medical record manage-ment
Baojuan LIN ; Zhu WEI ; Yican CHEN ; Lirong CHEN ; Wenqing QUE ; Yu LIU ; Fudi SU
Modern Hospital 2025;25(5):726-728,733
Objective Guided by"Medical Record Management Quality Control Indicators(2021 Edition)"(hereafter regarded as Medical Record Quality Indicators),this study aims to evaluate the quality of inpatient hospice medical records at a tertiary hospital in Guangzhou.Methods A total of 1,071 inpatient hospice medical records from the year 2023 in a tertiary gen-eral hospital in Guangzhou were selected for evaluation.The evaluation focused on three aspects:documentation compliance of documentation of critical examinations(including CT/MRI,pathology,and pathogen examinations),the compliance rate of treat-ment behavior records(encompassing antibiotic usage,chemotherapy or radiotherapy or targeted or immunotherapy for malignant tumors,and surgical records),and the incidence of unreasonable duplication within medical record.Results The compliance rate for major examination records ranged from 47.7%to 100.0%,with the lowest compliance rate(47.7%)observed in docu-mentation of pathogen culture analysis.Treatment behavior documentation compliance varied from 49.1%to 100.0%,with the lowest compliance rate of 49.1%observed in the recording of antibiotic usage.Rates of inappropriate duplication ranged from 1.0%to duplication(63.1%),with the highest rate of 63.1%occurring when initial progress notes replicated admission histo-ries without synthesis(63.1%).Conclusion The Medical Record Management Quality Control Indicators serves as an effective tool for evaluating the dimensions of medical record quality and offers a systematic framework for enhancing documentation integri-ty within hospitals.
10.Application of ASSR with different stimuli in hearing impaired children's hearing threshold assessment
Jialei ZHOU ; Fang CHEN ; Sihang GU ; Wenqing HUANG ; Xiaoyan LI
Chinese Archives of Otolaryngology-Head and Neck Surgery 2025;32(6):358-361
OBJECTIVE To investigate the application value of narrow-band CE-Chirp ASSR(NB CE-Chirp ASSR)and modulated acoustic ASSR in the assessment of hearing threshold in children with hearing impairment.METHODS Forty-eight children with sensorineural hearing loss were tested by pure tone audiometry(PTA),NB CE-Chirp ASSR and modulated acoustic ASSR.According to the results of pure tone audiometry,they were divided into mild to moderate group(48 ears)and severe to profound group(48 ears).The difference and correlation between pure tone hearing threshold and ASSR response threshold of different stimuli were compared between 500-4 000 Hz.RESULTS The absolute differences between the NB CE-Chirp ASSR response threshold and the PTA threshold in 48 children were all smaller than the differences between the modulated acoustic ASSR response threshold and the PTA threshold,and the differences were statistically significant(P<0.001).Under the same stimulus sound,the absolute difference between ASSR response threshold and pure tone hearing threshold in the mild to moderate group was higher than that in the severe to very severe group.The correlation coefficients between NB CE-Chirp ASSR threshold and pure tone hearing threshold are higher than those between modulated sound ASSR threshold and pure tone hearing threshold at 500-4 000 Hz.The test time of NB CE-Chirp ASSR[(20.92±9.33)min]was significantly shorter than that of modulated acoustic ASSR[(33.68±10.97)min](P=0.004).CONCLUSION NB CE-Chirp ASSR can more accurately assess the hearing threshold of children with different degrees of hearing loss than modulated acoustic ASSR.


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