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27
result(s) for
"Xie, Ren-Hao"
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Environmental Exposure to Bisphenol A Enhances Invasiveness in Papillary Thyroid Cancer
by
Xie, Ren-Hao
,
Sun, Yuan-Chin
,
Chang, Yen-Hsiang
in
Apoptosis
,
Benzhydryl Compounds - toxicity
,
Bisphenol A
2025
Bisphenol A (BPA) is a prevalent environmental contaminant found in plastics and known for its endocrine-disrupting properties, posing risks to both human health and the environment. Despite its widespread presence, the impact of BPA on papillary thyroid cancer (PTC) progression, especially under realistic environmental conditions, is not well understood. This study examined the effects of BPA on PTC using a 3D thyroid papillary tumor spheroid model, which better mimicked the complex interactions within human tissues compared to traditional 2D models. Our findings demonstrated that BPA, at environmentally relevant concentrations, could induce significant changes in PTC cells, including a decrease in E-cadherin expression, an increase in vimentin expression, and reduced thyroglobulin (TG) secretion. These changes suggest that BPA exposure may promote epithelial–mesenchymal transition (EMT), enhance invasiveness, and reduce cell differentiation, potentially complicating treatment, including by increasing resistance to radioiodine therapy. This research highlights BPA’s hazardous nature as an environmental contaminant and emphasizes the need for advanced in vitro models, like 3D tumor spheroids, to better assess the risks posed by such chemicals. It provides valuable insights into the environmental implications of BPA and its role in thyroid cancer progression, enhancing our understanding of endocrine-disrupting chemicals.
Journal Article
Revolutionizing Epithelial Differentiability Analysis in Small Airway-on-a-Chip Models Using Label-Free Imaging and Computational Techniques
2024
Organ-on-a-chip (OOC) devices mimic human organs, which can be used for many different applications, including drug development, environmental toxicology, disease models, and physiological assessment. Image data acquisition and analysis from these chips are crucial for advancing research in the field. In this study, we propose a label-free morphology imaging platform compatible with the small airway-on-a-chip system. By integrating deep learning and image recognition techniques, we aim to analyze the differentiability of human small airway epithelial cells (HSAECs). Utilizing cell imaging on day 3 of culture, our approach accurately predicts the differentiability of HSAECs after 4 weeks of incubation. This breakthrough significantly enhances the efficiency and stability of establishing small airway-on-a-chip models. To further enhance our analysis capabilities, we have developed a customized MATLAB program capable of automatically processing ciliated cell beating images and calculating the beating frequency. This program enables continuous monitoring of ciliary beating activity. Additionally, we have introduced an automated fluorescent particle tracking system to evaluate the integrity of mucociliary clearance and validate the accuracy of our deep learning predictions. The integration of deep learning, label-free imaging, and advanced image analysis techniques represents a significant advancement in the fields of drug testing and physiological assessment. This innovative approach offers unprecedented insights into the functioning of the small airway epithelium, empowering researchers with a powerful tool to study respiratory physiology and develop targeted interventions.
Journal Article
Effect of mitomycin on normal dermal fibroblast and HaCat cell: an in vitro study
by
Yao-wen WANG Ji-hao REN Kun XIA Shu-hui WANG Tuan-fang YIN Ding-hua XIE Li-hua LI
in
Biomedical and Life Sciences
,
Biomedicine
,
Biomedicine & Biotechnology
2012
Objective:To evaluate the effects of mitomycin on the growth of human dermal fibroblast and immortalized human keratinocyte line (HaCat cell),particularly the effect of mitomycin on intracellular messenger RNA (mRNA) synthesis of collagen and growth factors of fibroblast.Methods:The normal dermal fibroblast and HaCat cell were cultured in vitro.Cell cultures were exposed to 0.4 and 0.04 mg/ml of mitomycin solution,and serum-free culture medium was used as control.The cellular morphology change,growth characteristics,cell proliferation,and apoptosis were observed at different intervals.For the fibroblasts,the mRNA expression changes of transforming growth factor (TGF)-β1,basic fibroblast growth factor (bFGF),procollagen Ⅰ,and Ⅲ were detected by reverse transcription polymerase chain reaction (RT-PCR).Results:The cultured normal human skin fibroblast and HaCat cell grew exponentially.A 5-min exposure to mitomycin at either 0.4 or 0.04 mg/ml caused marked dose-dependent cell proliferation inhibition on both fibroblasts and HaCat cells.Cell morphology changed,cell density decreased,and the growth curves were without an exponential phase.The fibroblast proliferated on the 5th day after the 5-min exposure of mitomycin at 0.04 mg/ml.Meanwhile,5-min application of mitomycin at either 0.04 or 0.4 mg/ml induced fibroblast apoptosis but not necrosis.The apoptosis rate of the fibroblast increased with a higher concentration of mytomycin (p0.05).A 5-min exposure to mitomycin at 0.4 mg/ml resulted in a marked decrease in the mRNA production of TGF-β1,procollagen Ⅰ and Ⅲ,and a marked increase in the mRNA production of bFGF.Conclusions:Mitomycin can inhibit fibroblast proliferation,induce fibroblast apoptosis,and regulate intracellular protein expression on mRNA levels.In additon,mitomycin can inhibit HaCat cell proliferation,so epithelial cell needs more protecting to avoid mitomycin's side effect when it is applied clinically.
Journal Article
Evaluation of intratympanic dexamethasone for treatment of refractory sudden sensorineural hearing loss
by
Yao-wen WANG Ji-hao REN Yong-de LU Tuan-fang YIN Ding-hua XIE
in
Adrenal Cortex Hormones - administration & dosage
,
Adult
,
Biomedical and Life Sciences
2012
Objective: To observe and compare the efficacy of intratympanic application of dexamethasone (DXM) for the treatment of refractory sudden sensorineural hearing loss (SSNHL), the DXM was given in three different ways: by tympanic membrane injection, by drip through a ventilation tube, and by perfusion through a round window catheter. Methods: We conducted a nonrandomized retrospective clinical trial involving 55 patients with refractory SSNHL. For 21 patients (the perfusion group), DXM (2.5 mg/0.5 ml) was perfused transtympanically through a round window catheter using an infusion pump for 1 h twice a day for 7 d giving a total amount of 35.0 mg. For 23 patients (the injection group), DXM (2.5 mg/time) was injected by tympanic membrane puncture at intervals of 2 d on a total of four occasions giving a total amount of 10.0 mg. For 11 patients (the drip group), DXM (2.5 mg/0.5 ml) was dripped via a ventilation tube placed by myringotomy, once on the first day and twice a day for the remaining 6 d giving a total amount of 32.5 mg. Thirty-two patients with refractory SSNHL who refused to undertake further treatments were defined as the control group. Hearing recovery and complications were compared among the groups. Hearing results were evaluated based on a four-frequency (0.5, 1.0, 2.0, 4.0 kHz) pure tone average (PTA). Results: Post-treatment audiograms were obtained one month after treatments were completed. The improvements in average PTA for the perfusion, injection, and drip groups were 9.0, 8.6, and 1.7 dB, respectively. Hearing improvement was significantly greater in the perfusion and injection groups than in the control group (1.4 dB) (P〈0.05). In the perfusion group, 8 out of 21 patients (38.1%) had a PTA improvement of 15-56 dB (mean 29.8 dB); in the injection group, 8 out of 23 patients (34.8%) had a PTA improvement of 16-54 dB (mean 24.9 dB); in the drip group, 1 of 11 patients (9.1%) had a PTA improvement of 26.0 dB; in the control group, 3 out of 32 patients (9.4%) had a PTA improvement of 15-36 dB (mean 14.9 dB). Conclusions: Topical intratympanic application of DXM is a safe and effective method for the treatment of SSNHL cases that are refractory to conventional therapies.
Journal Article
Metasurface-integrated vertical cavity surface-emitting lasers for programmable directional lasing emissions
by
Hong-Da, Chen
,
Delga Alexandre
,
Yi-Yang, Xie
in
Collimation
,
Electromagnetic fields
,
Emissions
2020
Vertical cavity surface-emitting lasers (VCSELs) have made indispensable contributions to the development of modern optoelectronic technologies. However, arbitrary beam shaping of VCSELs within a compact system has remained inaccessible until now. The emerging ultra-thin flat optical structures, namely metasurfaces, offer a powerful technique to manipulate electromagnetic fields with subwavelength spatial resolution. Here, we show that the monolithic integration of dielectric metasurfaces with VCSELs enables remarkable arbitrary control of the laser beam profiles, including self-collimation, Bessel and Vortex lasers, with high efficiency. Such wafer-level integration of metasurface through VCSEL-compatible technology simplifies the assembling process and preserves the high performance of the VCSELs. We envision that our approach can be implemented in various wide-field applications, such as optical fibre communications, laser printing, smartphones, optical sensing, face recognition, directional displays and ultra-compact light detection and ranging (LiDAR).Non-intrusive integration of metasurfaces with vertical cavity surface-emitting lasers enables fully arbitrary wavefront control for directional laser emission.
Journal Article
A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review
by
Ren, Hao
,
Liu, Pei
,
Jing, Fengshi
in
Accidental Falls - prevention & control
,
Artificial intelligence
,
Collaboration
2025
Over the past decade, wearable sensors for fall detection have gained significant attention due to their potential in improving the safety of elderly users and reducing fall-related injuries. This review employs a network-based visualization approach to analyze research trends, key technologies, and collaborative networks. Using studies from SCI- and SSCI-indexed journals from 2015 to 2024, we analyzed 582 articles and 65 reviews with CiteSpace, revealing a significant rise in research on wearable sensors for fall detection. Additionally, we reviewed various datasets and machine learning techniques, from traditional methods to advanced deep learning frameworks, which demonstrate high accuracies, F1 scores, sensitivities, and specificities in controlled settings. This review provides a comprehensive overview of the progress and emerging trends, offering a foundation for future advancements in wearable fall detection systems.
Journal Article
Harnessing plasmon-exciton energy exchange for flexible organic solar cells with efficiency of 19.5
2025
The plasmonic effects have unlocked remarkable advancements in modern optoelectronics, enabling enhanced light-matter interactions for applications ranging from sensing to photovoltaics. However, the nonradiative damping of plasmonic effects causes parasitic absorption which limits the light-utilization efficiency of optoelectronics, particularly for photovoltaic cells. Herein, we propose a plasmon energy recycling scheme consisting of green fluorophore (BCzBN) and nickel oxide to compensate for the plasmon energy loss. The plasmons trapped in silver nanowire (AgNW) electrodes are coupled to green emission through plasmon-exciton energy exchange. Backward electron and energy transfer are inhibited due to the spectral mismatch and energy level offset. The optically enhanced flexible AgNW electrode exhibits an improvement of 10.74% in transmittance, yielding flexible organic solar cells with an efficiency of 19.51% and a certified value of 18.69%. This innovative strategy provides a pathway for overcoming plasmon energy losses in plasmonic optoelectronics, opening horizons for highly efficient flexible photovoltaics and plasmonic devices.
The parasitic absorption caused by nonradiative damping of plasmonic effects limits the light utilization efficiency of optoelectronics. Here, authors employ green fluorophore and nickel oxide to recycle plasmon energy, achieving maximum device efficiency of 19.51% for flexible organic solar cells.
Journal Article
Analysis of clinical and imaging features and prognosis of patients positive for Tropheryma whipplei detected by nanopore sequencing of bronchoalveolar lavage fluid
2025
To probe into the application value of nanopore sequencing in patients suffering from positive
(TW), analyze their clinical features, imaging manifestations, and treatment prognosis, and provide new evidence for the diagnosis and treatment of Whipple's disease.
This study retrospectively analyzed 2,137 samples subjected to nanopore sequencing at the Fourth People's Hospital of Nanning. Among them, 14 bronchoalveolar lavage fluid (BALF) samples were positive for TW. Patients were divided into a high-sequence group (100) and a low-sequence group (≤100) in accordance with the TW sequence counts. The clinical features, laboratory indicators, imaging manifestations, and treatment prognosis of these two groups were compared and analyzed in an all-round manner.
The levels of C-reactive protein (CRP) and lactate dehydrogenase (LDH) in the high-sequence group were strikingly higher than those in the low-sequence group (P < 0.05). Radiologically, TW pneumonia mostly presented as patchy shadows, ground-glass opacities, and bronchiectasis, which highly overlapped with the imaging features of tuberculosis or interstitial pneumonia. With respect to treatment, 85.7% of the 14 patients exhibited symptomatic improvement subsequent to antibiotic treatment. Fluoroquinolones and combination therapy regimens demonstrated satisfactory efficacy, but patients suffering from severe conditions or advanced age may require an extended treatment course.
The imaging manifestations of TW pneumonia are not only non-specific but also have been frequently mistaken with other pulmonary diseases. Notwithstanding the fact that fluoroquinolones and combination therapy regimens hold clinical relevance in the management of Whipple's disease, tailored adjustments to treatment plans are crucial based on individual patient circumstances.
Journal Article
Research on the predictive effect of a combined model of ARIMA and neural networks on human brucellosis in Shanxi Province, China: a time series predictive analysis
2021
Background
Brucellosis is a major public health problem that seriously affects developing countries and could cause significant economic losses to the livestock industry and great harm to human health. Reasonable prediction of the incidence is of great significance in controlling brucellosis and taking preventive measures.
Methods
Our human brucellosis incidence data were extracted from Shanxi Provincial Center for Disease Control and Prevention. We used seasonal-trend decomposition using Loess (STL) and monthplot to analyse the seasonal characteristics of human brucellosis in Shanxi Province from 2007 to 2017. The autoregressive integrated moving average (ARIMA) model, a combined model of ARIMA and the back propagation neural network (ARIMA-BPNN), and a combined model of ARIMA and the Elman recurrent neural network (ARIMA-ERNN) were established separately to make predictions and identify the best model. Additionally, the mean squared error (MAE), mean absolute error (MSE) and mean absolute percentage error (MAPE) were used to evaluate the performance of the model.
Results
We observed that the time series of human brucellosis in Shanxi Province increased from 2007 to 2014 but decreased from 2015 to 2017. It had obvious seasonal characteristics, with the peak lasting from March to July every year. The best fitting and prediction effect was the ARIMA-ERNN model. Compared with those of the ARIMA model, the MAE, MSE and MAPE of the ARIMA-ERNN model decreased by 18.65, 31.48 and 64.35%, respectively, in fitting performance; in terms of prediction performance, the MAE, MSE and MAPE decreased by 60.19, 75.30 and 64.35%, respectively. Second, compared with those of ARIMA-BPNN, the MAE, MSE and MAPE of ARIMA-ERNN decreased by 9.60, 15.73 and 11.58%, respectively, in fitting performance; in terms of prediction performance, the MAE, MSE and MAPE decreased by 31.63, 45.79 and 29.59%, respectively.
Conclusions
The time series of human brucellosis in Shanxi Province from 2007 to 2017 showed obvious seasonal characteristics. The fitting and prediction performances of the ARIMA-ERNN model were better than those of the ARIMA-BPNN and ARIMA models. This will provide some theoretical support for the prediction of infectious diseases and will be beneficial to public health decision making.
Journal Article
circHIPK3 regulates lung fibroblast-to-myofibroblast transition by functioning as a competing endogenous RNA
2019
Myofibroblasts predominantly emerging through fibroblast-to-myofibroblast transition (FMT) are considered to be the key collagen-producing cells in pulmonary fibrosis. Circular RNAs (circRNAs) are important players involved in many biological processes. circHIPK3 has been identified as the one of the most abundant circRNAs in human lung. In this study, we characterized the role of circHIPK3 in pulmonary fibrosis. We revealed that circHIPK3 is upregulated in bleomycin-induced pulmonary fibrosis mice model, FMT-derived myofibroblasts. circHIPK3 silencing can ameliorate FMT and suppress fibroblast proliferation in vivo and vitro. Fundamentally, circHIPK3 regulates FMT by functioning as an endogenous miR-338-3p sponge and inhibit miR-338-3p activity, thereby leading to increased SOX4 and COL1A1 expression. Moreover, dysregulated circHIPK3 expression was detected in the clinical samples of patients with idiopathic pulmonary fibrosis. Intervention of circHIPK3 may represent a promising therapy for pulmonary fibrosis.
Journal Article