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Profil bibliographique

Jiaying Shen

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

89Publications signalées
2052Citations signalées
8Affiliations récentes

Les institutions déclarées

Les domaines associés

MicroRNA in disease regulationCircular RNAs in diseasesCancer-related molecular mechanisms researchSARS-CoV-2 and COVID-19 ResearchThyroid Disorders and Treatments

Les publications récentes

Accès ouvert 2026 article OpenAlex

Natural killer cell-mediated immunosurveillance modulates liver cancer evolution through cancer stemness enhancement and lipid metabolism reprogramming

Liang Shi, Boqiang Liu, Ruya Sun, Jing He et autres

Tumor evolution enables liver cancer cells to acquire survival advantages and evade therapy-induced cell death. However, the role of natural killer (NK) cells in liver cancer evolution remains unclear. Here, we establish immune-humanized spatiotemporal liver cancer models and integrate single-cell, spatial transcriptomic, …

ie, cn (code pays fourni par la source)

1 citation Nature Communications
Accès ouvert 2026 article OpenAlex

Effect of Small Dense Low‐Density Lipoprotein Cholesterol Combined With High‐Sensitivity C‐Reactive Protein on Cardiometabolic Multimorbidity: A National Cohort Study

Zi Guo, Jiaying Shen, Feng Song

ABSTRACT Background Small dense low‐density lipoprotein cholesterol (sdLDL‐C) is a more significant atherosclerotic factor than LDL‐C. This investigation aimed to examine the correlation between sdLDL‐C levels and the risk of cardiometabolic multimorbidity (CMM) in middle‐aged and older adults. Methods Participants aged ≥ …

cn (code pays fourni par la source)

0 citations Clinical Cardiology
Accès ouvert 2026 article OpenAlex

Xanthogranulomatous prostatitis masquerading as prostate cancer: a case report and literature review

Yi Jiang, Jingjue Zhang, Jiaying Shen

OBJECTIVES: Xanthogranulomatous prostatitis (XGP) and prostate cancer (PCa) are difficult to distinguish based on clinical presentation and imaging, and diagnosis relies on pathological biopsy. PATIENTS AND METHODS: A case report of XGP, accompanied by a literature review. RESULTS: We report one case …

cn (code pays fourni par la source)

0 citations BMC Geriatrics
Accès ouvert 2026 article OpenAlex

Causal relationship between 91 inflammatory factors and fetal growth restriction: a bidirectional Mendelian randomization study

Jiaying Shen, X. J. Chen, Rujing Fang, Rongqiong Cai et autres

PURPOSE: Current studies have indicated a potential association between inflammatory cytokines and Fetal Growth Restriction (FGR), but the causal relationship between specific inflammatory cytokines and FGR remains uncertain. In this study, we used Mendelian randomization (MR) to further investigate the causal link …

cn (code pays fourni par la source)

0 citations The Journal of Maternal-Fetal & Neonatal Medicine
Accès ouvert 2026 article OpenAlex

ROS-Responsive Nano-Encapsulated Selenium Targeting Cervical Cancer Cell via PI3K/AKT Signaling Pathway

Yanmei Qiu, Chongke Hu, Shushu Zhao, Dezhi Chen et autres

Purpose: Current cervical cancer treatments have yet to realize significant advances in patient quality of life. To overcome the challenges of off-target toxicity and inefficient delivery, we developed targeted ROS-responsive selenium nanoparticles, based on selenium's anticancer properties. Methods: FA-ReRSeNPs were synthesized and …

cn (code pays fourni par la source)

0 citations International Journal of Nanomedicine
2025 article OpenAlex

Single-cell analysis reveals the diversity of human fetal membrane and adjacent placental cells with preterm premature rupture of membranes

Congcong M. Sun, Mao Wu, Zhenzhen Zheng, Linlin Wang et autres

The occurrence of preterm premature rupture of membranes (PPROM) significantly impacts maternal and fetal health due to its association with the cellular composition and genetic changes of the fetal membrane. However, the specific cell type responsible for triggering PPROM and the underlying …

cn (code pays fourni par la source)

1 citation Human Molecular Genetics
Accès ouvert 2025 article OpenAlex

Explainable AI unravels sepsis heterogeneity via coagulation-inflammation profiles for prognosis and stratification

Li Zhu, Z. Chen, Hongjun Chen, Lanqi Liu et autres

Sepsis is a leading cause of hospital mortality, and its significant heterogeneity complicates prognosis and stratification. To address this challenge, we developed an explainable artificial intelligence prognostic model (SepsisFormer, a transformer-based neural network) and an automated risk-stratification tool (SMART) for sepsis. In …

cn, mo, us (code pays fourni par la source)

8 citations Nature Communications

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