Publications by authors named "Jiayu Ren"

Acute kidney injury (AKI) is a common clinical kidney dysfunction associated with high morbidity, elevated mortality, and poor prognosis. It results from redox imbalance caused by abnormal excess production of endogenous reactive oxygen species (ROS) at the renal tubules, which in turn initiates a series of pathological processes, such as cellular apoptosis, necrosis, and ferroptosis, eventually leading to structural and functional impairment of the kidney. Thereinto, ferroptosis induced by the lethal accumulation of lipid peroxidation is extensively involved in renal damage.

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FeS has been widely employed to remove Cr(Ⅵ) from wastewater, however, its practical effectiveness is often limited by agglomeration and passivation. This study introduces sodium citrate (SC) as a ligand to synthesize an FeS-SC magnetic micro-crystal for Cr(Ⅵ) removal from aqueous solutions and contaminated soils. Experimental results show that FeS-SC exhibits superior Cr(Ⅵ) removal efficiency, especially in acidic environments, with a maximum adsorption capacity of 449.

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Cancer development is associated with adaptation to various stressful conditions, such as extracellular acidosis. The adverse tumor microenvironment also selects for increased malignancy. Mitochondria are integral in stress sensing to allow for tumor cells to adapt to stressful conditions.

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Background: Salt-sensitive hypertension (SSH) is the most severe form of hypertension, and the presence of NLRP3 inflammasome plays a crucial role in its pathogenesis. Although MCC950 has shown therapeutic potential for hypertension and kidney injury, its mechanism of action remains unclear.

Methods: Dahl salt-sensitive (SS) rats and their salt-tolerant aptamer control SS-13 (BN) rats were randomly assigned to four groups: SS rats intraperitoneally administered physiological saline (SS + vehicle) or MCC950 (SS + MCC950), and BN rats intraperitoneally administered physiological saline (BN + vehicle) or MCC950 (BN + MCC950).

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Article Synopsis
  • The study investigates how nanoplastics (NPs) interact with the human body, particularly concerning their roles in cancer, revealing uncertainties in how NPs affect tumor behavior.
  • Analyzing protein coronas formed on NPs from thyroid cancer patients showed an increase in fibrinogen, which accelerated the uptake of NPs by cancer cells compared to healthy individuals.
  • Alterations in protein coronas due to clinical conditions were found to enhance NPs engulfment by macrophages, leading to pro-inflammatory responses that may promote tumor growth, highlighting the need to understand NPs' biological interactions.
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Osteoarthritis (OA) is recognized as a highly friction-related joint disease primarily associated with increased joint friction and inflammation due to pro-inflammatory M1-type macrophage infiltration in the articular cavity. Therefore, strategies to simultaneously increase lubrication and relieve inflammation to remodel the damaged articular microenvironment are of great significance for enhancing its treatment. Herein, a multifunctional core-brush nanoplatform composed of a ROS-scavenging polydopamine-coated SiO core and lubrication-enhancing zwitterionic poly(2-methacryloyloxyethyl phosphorylcholine) (PMPC) brush and loaded with the anti-inflammatory drug curcumin by a reactive oxygen species (ROS)-liable conjugation (named as SiO@PP-Cur) is rationally designed.

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Background: Accurate preoperative prediction of cervical lymph node metastasis (LNM) for papillary thyroid carcinoma (PTC) patients is essential for disease staging and individualized treatment planning, which can improve prognosis and facilitate better management.

Purpose: To establish a fully automated deep learning-enabled model (FADLM) for automated tumor segmentation and cervical LNM prediction in PTC using ultrasound (US) video keyframes.

Methods: The bicentral study retrospective enrolled 518 PTC patients, who were then randomly divided into the training (Hospital 1, n = 340), internal test (Hospital 1, n = 83), and external test cohorts (Hospital 2, n = 95).

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Objectives: This study aimed to explore the performance of a model based on Chinese Thyroid Imaging Reporting and Data Systems (C-TIRADS), clinical characteristics, and shear wave elastography (SWE) for the prediction of Bethesda I thyroid nodules before fine needle aspiration (FNA).

Materials And Methods: A total of 267 thyroid nodules from 267 patients were enrolled. Ultrasound and SWE were performed for all nodules before FNA.

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Infiltration of monocyte-derived macrophages plays a crucial role in cardiac remodeling and dysfunction. The serum and glucocorticoid-inducible protein kinase 3 (SGK3) is a downstream factor of PI3K signaling, regulating various biological processes via an AKT-independent signaling pathway. SGK3 has been implicated in cardiac remodeling.

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Article Synopsis
  • - Current research mainly aims to lower soil chromium (Cr) levels, but achieving less than 5.0 mg/kg of Cr(VI) is challenging with single methods.
  • - This study examines a new eco-friendly system using Penicillium oxalicum SL2 and nanoscale zero-valent iron (nZVI), showing it can reduce Cr(VI) from 187.1 mg/kg to 3.4 mg/kg in 180 days, with effects lasting up to 360 days.
  • - The research highlights that P. oxalicum SL2 enhances soil conditions, encourages beneficial microbial growth, and significantly improves the bioavailability of iron, suggesting this method is an efficient long-term solution for reducing soil
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Rationale And Objectives: We aimed to compare superb microvascular imaging (SMI)-based radiomics methods, and contrast-enhanced ultrasound (CEUS)-based radiomics methods to the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for classifying thyroid nodules (TNs) and reducing unnecessary fine-needle aspiration biopsy (FNAB) rate.

Materials And Methods: This retrospective study enrolled a dataset of 472 pathologically confirmed TNs. Radiomics characteristics were extracted from B-mode ultrasound (BMUS), SMI, and CEUS images, respectively.

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Background: American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS, TR) 4 and 5 thyroid nodules (TNs) demonstrate much more complicated and overlapping risk characteristics than TR1-3 and have a rather wide range of malignancy possibilities (> 5%), which may cause overdiagnosis or misdiagnosis. This study was designed to establish and validate a dual-modal ultrasound (US) radiomics nomogram integrating B-mode ultrasound (BMUS) and contrast-enhanced ultrasound (CEUS) imaging to improve differential diagnostic accuracy and reduce unnecessary fine needle aspiration biopsy (FNAB) rates in TR 4-5 TNs.

Methods: A retrospective dataset of 312 pathologically confirmed TR4-5 TNs from 269 patients was collected for our study.

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The mechanisms of the SL2-mediated microbial community on phosphorus solubilization and Pb stabilization were investigated through a 90-day soil experiment. In the treatments inoculated with SL2, the amount of SL2-GFP remained at 77.8%-138.

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Background: Recent studies suggested that NDUFS1 has an important role in human cancers; however, the effects of NDUFS1 on gastric cancer (GC) are still not fully understood.

Methods: We confirmed that NDUFS1 is downregulated in GC cells through western blot immunohistochemistry and bioinformation analysis. The effect of NDUFS1 on GC was studied by CCK-8, colony formation, transwell assay in vitro and Mouse xenograft assay in vivo.

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Article Synopsis
  • The study investigates the use of a 5G-based robotic teleultrasound system to conduct health check-ups in underserved rural areas, aiming to overcome the shortage of sonologists and ultrasound devices.
  • 546 subjects underwent teleultrasound check-ups, with the most common diagnoses being abdominal disorders and male reproductive illnesses, and the examinations took approximately 9 minutes on average.
  • Results indicate that the teleultrasound system is both feasible and well-received, with all participants expressing satisfaction and most reporting no fear of the robotic equipment, suggesting its potential to improve healthcare access in remote regions.
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Upon entering a biological environment, the surface of nanoparticles (NPs) is rapidly coated by various biomolecules (typically proteins), herein referred to as the biological corona fingerprint, representing a rich source of biological information that can guide the development of diagnosis, prognosis, and therapeutics for diverse disorders. Although the number of studies has been increasing and considerable technological success has been achieved over the past few years, the main obstacles in this field stem from the complexities and heterogeneity of disease biology due to an incomplete understanding of nano-bio interactions and the challenges regarding the chemistry, manufacturing, and controls required for clinical translation. This minireview highlights the progress, challenges, and opportunities in nano-biological corona fingerprinting for diagnosis, prognosis, and therapeutics, and offers suggestions for more effective nano-therapeutics by capitalizing on our growing understanding of tumor biology and nano-bio interactions.

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Purpose: We mainly aimed to perform a narrative review of clinical applications of the three intracavitary contrast-enhanced ultrasonography (CEUS) including contrast-enhanced voiding urosonography (ceVUS), contrast-enhanced retrograde urethrosonography (ceRUG), and contrast-enhanced genitosonography (ceGS) in pediatric lower genitourinary anomalies.

Method: A literature search in the PubMed and Web of Science databases was conducted up to 1 July 2022 on all studies published in English using the search terms "contrast-enhanced voiding urosonography", "contrast-enhanced retrograde urethrosonography", and "contrast-enhanced genitosonography". Trials were limited to pediatric subjects (ages ≤18 years) with no time restrictions.

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Purpose: The aim of this study was to investigate the diagnostic efficacy of Acoustic Radiation Force Impulse (ARFI) for benign and malignant thyroid nodules in the presence and absence of non-papillary thyroid cancer (NPTC) and to determine the cut-off values of Shear Wave Velocity (SWV) for the highest diagnostic efficacy of Virtual Touch Quantification (VTQ) and Virtual Touch Tissue Imaging and Quantification (VTIQ).

Methods: The diagnostic accuracy of ARFI for benign and malignant thyroid nodules was assessed by pooling sensitivity, specificity and area under the curve (AUC) in each group in the presence and absence of both non-papillary thyroid glands, using histology and cytology as the gold standard. All included studies were divided into two groups according to VTQ and VTIQ, and each group was ranked according to the magnitude of the SWV cutoff value to determine the SWV cutoff interval with the highest diagnostic efficacy for VTQ and VTIQ.

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Background: Gastric cancer peritoneal metastasis (GCPM) is an important cause of cancer-related deaths worldwide. Long non-coding RNAs (lncRNAs) play a key role in the regulation of GCPM, but the underlying mechanisms have not been elucidated.

Methods: High-throughput RNA sequencing (RNA-seq) was performed on four groups of clinical specimens (non-metastatic gastric cancer primary tumor, adjacent normal gastric mucosal tissue, gastric cancer primary tumor with peritoneal metastasis and adjacent normal gastric mucosal tissue).

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Metastasis is an important factor contributing to poor prognosis in patients with gastric cancer; yet, the molecular mechanism leading to this cell behavior is still not well understood. In this study, we explored the role of cysteine protease inhibitor SN (Cystatin SN, CST1) in promoting gastric cancer metastasis. We hypothesized that CST1 could regulate gastric cancer progression by regulating GPX4 and ferroptosis.

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Artificial intelligence (AI), especially deep learning, is gaining extensive attention for its excellent performance in medical image analysis. It can automatically make a quantitative assessment of complex medical images and help doctors to make more accurate diagnoses. In recent years, AI based on ultrasound has been shown to be very helpful in diffuse liver diseases and focal liver lesions, such as analyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis, identifying benign and malignant liver lesions, predicting the microvascular invasion of hepatocellular carcinoma, curative transarterial chemoembolization effect, and prognoses after thermal ablation.

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Article Synopsis
  • The study evaluates how accurately the VGGNet deep learning model can differentiate between benign and malignant thyroid nodules using ultrasound images.
  • A total of 11 research studies were analyzed, revealing high sensitivity (0.87) and specificity (0.85) for the model, indicating it performed well in diagnosis.
  • Overall, the VGGNet model showed strong diagnostic efficacy with an area under the curve of 0.93, confirming its effectiveness in this medical application.
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  • This study investigated the risk factors for residual cancer and lymph node metastasis in early gastric cancer patients after noncurative endoscopic submucosal dissection (ESD), assessing the outcomes of early versus delayed additional surgeries.
  • Risk factors for residual cancer included diffuse type of Lauren classification, submucosal invasion, and positive HER-2, while undifferentiated carcinoma and vascular invasion were linked to lymph node metastasis.
  • The early surgery group faced higher intraoperative blood loss and longer operation time, but no significant differences were found in lymph node dissection outcomes or postoperative complications compared to delayed and upfront surgery groups.
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