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Mo X, Tang Y, Zhong L, Wang H, Du S, Niu L, Gan S. Cu 1.4Mn 1.6O 4 as a bifunctional transducer for potentiometric Cu 2+ solid-contact ion-selective electrode. Talanta 2024; 274:125993. [PMID: 38579422 DOI: 10.1016/j.talanta.2024.125993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/12/2024] [Accepted: 03/24/2024] [Indexed: 04/07/2024]
Abstract
Current potentiometric Cu2+ sensors mostly rely on polymer-membrane-based solid-contact ion-selective electrodes (SC-ISEs) that constitute ion-selective membranes (ISM) and solid contact (SC) for respective ion recognition and ion-to-electron transduction. Herein, we report an ISM-free Cu2+-SC-ISE based on Cu-Mn oxide (Cu1.4Mn1.6O4) as a bifunctional SC layer. The starting point is simplifying complex multi-interfaces for Cu2+-SC-ISEs. Specifically, ion recognition and signal transduction have been achieved synchronously by an ion-coupled-electron transfer of crystal ion transport and electron transfer of Mn4+/3+ in Cu1.4Mn1.6O4. The proposed Cu1.4Mn1.6O4 electrode discloses comparable sensitivity, response time, high selectivity and stability compared with present ISM-based potentiometric Cu2+ sensors. In addition, the Cu1.4Mn1.6O4 electrode also exhibits near Nernstian responses toward Cu2+ in natural water background. This work emphasizes an ISM-free concept and presents a scheme for the development of potentiometric Cu2+ sensors.
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Affiliation(s)
- Xiaocheng Mo
- Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials & Devices, Guangdong Engineering Technology Research Center for Photoelectric Sensing Materials & Devices, Key Laboratory of Optoelectronic Materials and Sensors in Guangdong Provincial Universities, School of Chemistry and Chemical Engineering, School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China
| | - Yitian Tang
- Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials & Devices, Guangdong Engineering Technology Research Center for Photoelectric Sensing Materials & Devices, Key Laboratory of Optoelectronic Materials and Sensors in Guangdong Provincial Universities, School of Chemistry and Chemical Engineering, School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China
| | - Lijie Zhong
- Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials & Devices, Guangdong Engineering Technology Research Center for Photoelectric Sensing Materials & Devices, Key Laboratory of Optoelectronic Materials and Sensors in Guangdong Provincial Universities, School of Chemistry and Chemical Engineering, School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China.
| | - Haocheng Wang
- Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials & Devices, Guangdong Engineering Technology Research Center for Photoelectric Sensing Materials & Devices, Key Laboratory of Optoelectronic Materials and Sensors in Guangdong Provincial Universities, School of Chemistry and Chemical Engineering, School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China
| | - Sanyang Du
- Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials & Devices, Guangdong Engineering Technology Research Center for Photoelectric Sensing Materials & Devices, Key Laboratory of Optoelectronic Materials and Sensors in Guangdong Provincial Universities, School of Chemistry and Chemical Engineering, School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China
| | - Li Niu
- Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials & Devices, Guangdong Engineering Technology Research Center for Photoelectric Sensing Materials & Devices, Key Laboratory of Optoelectronic Materials and Sensors in Guangdong Provincial Universities, School of Chemistry and Chemical Engineering, School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China; School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, 519082, China
| | - Shiyu Gan
- Center for Advanced Analytical Science, Guangzhou Key Laboratory of Sensing Materials & Devices, Guangdong Engineering Technology Research Center for Photoelectric Sensing Materials & Devices, Key Laboratory of Optoelectronic Materials and Sensors in Guangdong Provincial Universities, School of Chemistry and Chemical Engineering, School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China.
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Hu J, Peng J, Zhou Z, Zhao T, Zhong L, Yu K, Jiang K, Lau TS, Huang C, Lu L, Zhang X. Associating Knee Osteoarthritis Progression with Temporal-Regional Graph Convolutional Network Analysis on MR Images. J Magn Reson Imaging 2024. [PMID: 38686707 DOI: 10.1002/jmri.29412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Artificial intelligence shows promise in assessing knee osteoarthritis (OA) progression on MR images, but faces challenges in accuracy and interpretability. PURPOSE To introduce a temporal-regional graph convolutional network (TRGCN) on MR images to study the association between knee OA progression status and network outcome. STUDY TYPE Retrospective. POPULATION 194 OA progressors (mean age, 62 ± 9 years) and 406 controls (mean age, 61 ± 9 years) from the OA Initiative were randomly divided into training (80%) and testing (20%) cohorts. FIELD STRENGTH/SEQUENCE Sagittal 2D IW-TSE-FS (IW) and 3D-DESS-WE (DESS) at 3T. ASSESSMENT Anatomical subregions of cartilage, subchondral bone, meniscus, and the infrapatellar fat pad at baseline, 12-month, and 24-month were automatically segmented and served as inputs to form compartment-based graphs for a TRGCN model, which containing both regional and temporal information. The performance of models based on (i) clinical variables alone, (ii) radiologist score alone, (iii) combined features (containing i and ii), (iv) composite TRGCN (combining TRGCN, i and ii), (v) radiomics features, (vi) convolutional neural network based on Densenet-169 were compared. STATISTICAL TESTS DeLong test was performed to compare the areas under the ROC curve (AUC) of all models. Additionally, interpretability analysis was done to evaluate the contributions of individual regions. A P value <0.05 was considered significant. RESULTS The composite TRGCN outperformed all other models with AUCs of 0.841 (DESS) and 0.856 (IW) in the testing cohort (all P < 0.05). Interpretability analysis highlighted cartilage's importance over other structures (42%-45%), tibiofemoral joint's (TFJ) dominance over patellofemoral joint (PFJ) (58%-67% vs. 12%-37%), and importance scores changes in compartments over time (TFJ vs. PFJ: baseline: 44% vs. 43%, 12-month: 52% vs. 39%, 24-month: 31% vs. 48%). DATA CONCLUSION The composite TRGCN, capturing temporal and regional information, demonstrated superior discriminative ability compared with other methods, providing interpretable insights for identifying knee OA progression. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY Stage 2.
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Affiliation(s)
- Jiaping Hu
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics· Guangdong Province), Guangzhou, China
| | - Junyi Peng
- School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
| | - Zidong Zhou
- School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
| | - Tianyun Zhao
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA
| | - Lijie Zhong
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics· Guangdong Province), Guangzhou, China
| | - Keyan Yu
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Kexin Jiang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics· Guangdong Province), Guangzhou, China
| | - Tzak Sing Lau
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Chuan Huang
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Lijun Lu
- School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
- Pazhou Lab, Guangzhou, China
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics· Guangdong Province), Guangzhou, China
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Wang GQ, Sun XJ, Zhong L. An uncommon atrioventricular block pattern associated with a novel mutation in TTN. QJM 2024:hcae077. [PMID: 38608183 DOI: 10.1093/qjmed/hcae077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Indexed: 04/14/2024] Open
Affiliation(s)
- G Q Wang
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, China
| | - X J Sun
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, China
| | - L Zhong
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, China
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Liu J, Meng H, Mao Y, Zhong L, Pan W, Chen Q. IL-36 Regulates Neutrophil Chemotaxis and Bone Loss at the Oral Barrier. J Dent Res 2024; 103:442-451. [PMID: 38414292 DOI: 10.1177/00220345231225413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024] Open
Abstract
Tissue-specific mechanisms regulate neutrophil immunity at the oral barrier, which plays a key role in periodontitis. Although it has been proposed that fibroblasts emit a powerful neutrophil chemotactic signal, how this chemotactic signal is driven has not been clear. The objective of this study was to investigate the site-specific regulatory mechanisms by which fibroblasts drive powerful neutrophil chemotactic signals within the oral barrier, with particular emphasis on the role of the IL-36 family. The present study found that IL-36γ, agonist of IL-36R, could promote neutrophil chemotaxis via fibroblast. Single-cell RNA sequencing data disclosed that IL36G is primarily expressed in human and mouse gingival epithelial cells and mouse neutrophils. Notably, there was a substantial increase in IL-36γ levels during periodontitis. In vitro experiments demonstrated that IL-36γ specifically activates gingival fibroblasts, leading to chemotaxis of neutrophils. In vivo experiments revealed that IL-36Ra inhibited the infiltration of neutrophils and bone resorption, while IL-36γ promoted their progression in the ligature-induced periodontitis mouse model. In summary, these data elucidate the function of the site-enriched IL-36γ in regulating neutrophil immunity and bone resorption at the oral barrier. These findings provide new insights into the tissue-specific pathophysiology of periodontitis and offer a promising avenue for prevention and treatment through targeted intervention of the IL-36 family.
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Affiliation(s)
- J Liu
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center of Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China
| | - H Meng
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center of Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China
| | - Y Mao
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center of Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China
| | - L Zhong
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center of Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China
| | - W Pan
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center of Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China
| | - Q Chen
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center of Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China
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Lai M, Zhong L, Liu S, Tang Y, Han T, Deng H, Bao Y, Ma Y, Wang W, Niu L, Gan S. Carbon fiber-based multichannel solid-contact potentiometric ion sensors for real-time sweat electrolyte monitoring. Anal Chim Acta 2024; 1287:342046. [PMID: 38182362 DOI: 10.1016/j.aca.2023.342046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/16/2023] [Accepted: 11/17/2023] [Indexed: 01/07/2024]
Abstract
Solid-contact ion-selective electrodes (SC-ISEs) feature miniaturization and integration that have gained extensive attention in non-invasive wearable sweat electrolyte sensors. The state-of-the-art wearable SC-ISEs mainly use polyethylene terephthalate, gold and carbon nanotube fibers as flexible substrates but suffer from uncomfortableness, high cost and biotoxicity. Herein, we report carbon fiber-based SC-ISEs to construct a four-channel wearable potentiometric sensor for sweat electrolytes monitoring (Na+/K+/pH/Cl-). The carbon fibers were extracted from commercial cloth, of which the starting point is addressing the cost and reproducibility issues for flexible SC-ISEs. The bare carbon fiber electrodes exhibited reversible voltammetric and stable impedance performances. Further fabricated SC-ISEs based on corresponding ion-selective membranes disclosed Nernstian sensitivity and anti-interface ability toward both ions and organic species in sweat. Significantly, these carbon fiber-based SC-ISEs revealed high reproducibility of standard potentials between normal and bending states. Finally, a textile-based sensor was integrated with a solid-contact reference electrode, which realized on-body sweat electrolytes analysis. The results displayed high accuracy compared with ex-situ tests by ion chromatography. This work highlights carbon fiber-based multichannel wearable potentiometric ion sensors with low cost, biocompatibility and reproducibility.
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Affiliation(s)
- Meixue Lai
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Lijie Zhong
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China.
| | - Siyi Liu
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Yitian Tang
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Tingting Han
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Huali Deng
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Yu Bao
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Yingming Ma
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Wei Wang
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China
| | - Li Niu
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China; School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, 519082, PR China
| | - Shiyu Gan
- Guangdong Engineering Technology Research Center for Sensing Materials & Devices, Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou, 510006, PR China.
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Altan M, Soto F, Xu T, Wilson N, Franco-Vega MC, Simbaqueba Clavijo CA, Shannon VR, Faiz SA, Gandhi S, Lin SH, Lopez P, Zhong L, Akhmedzhanov F, Godoy MCB, Shroff GS, Wu J, Khawaja F, Kim ST, Naing A, Heymach JV, Daniel-Macdougall C, Liao Z, Sheshadri A. Pneumonitis After Concurrent Chemoradiation and Immune Checkpoint Inhibition in Patients with Locally Advanced Non-small Cell Lung Cancer. Clin Oncol (R Coll Radiol) 2023; 35:630-639. [PMID: 37507279 DOI: 10.1016/j.clon.2023.07.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/20/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023]
Abstract
AIMS Pneumonitis is a common and potentially deadly complication of combined chemoradiation and immune checkpoint inhibition (CRT-ICI) in patients with locally advanced non-small cell lung cancer (LA-NSCLC). In this study we sought to identify the risk factors for pneumonitis with CRT-ICI therapy in LA-NSCLC cases and determine its impact on survival. MATERIALS AND METHODS We conducted a retrospective chart review of 140 patients with LA-NSCLC who underwent curative-intent CRT-ICI with durvalumab between 2018 and 2021. Pneumonitis was diagnosed by a multidisciplinary team of clinical experts. We used multivariable cause-specific hazard models to identify risk factors associated with grade ≥2 pneumonitis. We constructed multivariable Cox proportional hazard models to investigate the impact of pneumonitis on all-cause mortality. RESULTS The median age of the cohort was 67 years; most patients were current or former smokers (86%). The cumulative incidence of grade ≥2 pneumonitis was 23%. Among survivors, 25/28 patients had persistent parenchymal scarring. In multivariable analyses, the mean lung dose (hazard ratio 1.14 per Gy, 95% confidence interval 1.03-1.25) and interstitial lung disease (hazard ratio 3.8, 95% confidence interval 1.3-11.0) increased the risk for pneumonitis. In adjusted models, grade ≥2 pneumonitis (hazard ratio 2.5, 95% confidence interval 1.0-6.2, P = 0.049) and high-grade (≥3) pneumonitis (hazard ratio 8.3, 95% confidence interval 3.0-23.0, P < 0.001) were associated with higher all-cause mortality. CONCLUSIONS Risk factors for pneumonitis in LA-NSCLC patients undergoing CRT-ICI include the mean radiation dose to the lung and pre-treatment interstitial lung disease. Although most cases are not fatal, pneumonitis in this setting is associated with markedly increased mortality.
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Affiliation(s)
- M Altan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - F Soto
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - T Xu
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - N Wilson
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M C Franco-Vega
- Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - C A Simbaqueba Clavijo
- Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - V R Shannon
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S A Faiz
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S Gandhi
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Lopez
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - L Zhong
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - F Akhmedzhanov
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M C B Godoy
- Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - G S Shroff
- Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Wu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - F Khawaja
- Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S T Kim
- Department of Rheumatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A Naing
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - C Daniel-Macdougall
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Z Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A Sheshadri
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Wang GQ, Jing YY, Chu HX, Liu WF, Zhong L. [A case of long QT syndrome with atypical clinical phenotype caused by KCNQ1-R555C missense mutation]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:870-872. [PMID: 37583338 DOI: 10.3760/cma.j.cn112148-20230705-00394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Affiliation(s)
- G Q Wang
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
| | - Y Y Jing
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
| | - H X Chu
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
| | - W F Liu
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
| | - L Zhong
- Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
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Hu J, Zheng C, Yu Q, Zhong L, Yu K, Chen Y, Wang Z, Zhang B, Dou Q, Zhang X. DeepKOA: a deep-learning model for predicting progression in knee osteoarthritis using multimodal magnetic resonance images from the osteoarthritis initiative. Quant Imaging Med Surg 2023; 13:4852-4866. [PMID: 37581080 PMCID: PMC10423358 DOI: 10.21037/qims-22-1251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 05/11/2023] [Indexed: 08/16/2023]
Abstract
Background No investigations have thoroughly explored the feasibility of combining magnetic resonance (MR) images and deep-learning methods for predicting the progression of knee osteoarthritis (KOA). We thus aimed to develop a potential deep-learning model for predicting OA progression based on MR images for the clinical setting. Methods A longitudinal case-control study was performed using data from the Foundation for the National Institutes of Health (FNIH), composed of progressive cases [182 osteoarthritis (OA) knees with both radiographic and pain progression for 24-48 months] and matched controls (182 OA knees not meeting the case definition). DeepKOA was developed through 3-dimensional (3D) DenseNet169 to predict KOA progression over 24-48 months based on sagittal intermediate-weighted turbo-spin echo sequences with fat-suppression (SAG-IW-TSE-FS), sagittal 3D dual-echo steady-state water excitation (SAG-3D-DESS-WE) and its axial and coronal multiplanar reformation, and their combined MR images with patient-level labels at baseline, 12, and 24 months to eventually determine the probability of progression. The classification performance of the DeepKOA was evaluated using 5-fold cross-validation. An X-ray-based model and traditional models that used clinical variables via multilayer perceptron were built. Combined models were also constructed, which integrated clinical variables with DeepKOA. The area under the curve (AUC) was used as the evaluation metric. Results The performance of SAG-IW-TSE-FS in predicting OA progression was similar or higher to that of other single and combined sequences. The DeepKOA based on SAG-IW-TSE-FS achieved an AUC of 0.664 (95% CI: 0.585-0.743) at baseline, 0.739 (95% CI: 0.703-0.775) at 12 months, and 0.775 (95% CI: 0.686-0.865) at 24 months. The X-ray-based model achieved an AUC ranging from 0.573 to 0.613 at 3 time points. However, adding clinical variables to DeepKOA did not improve performance (P>0.05). Initial visualizations from gradient-weighted class activation mapping (Grad-CAM) indicated that the frequency with which the patellofemoral joint was highlighted increased as time progressed, which contrasted the trend observed in the tibiofemoral joint. The meniscus, the infrapatellar fat pad, and muscles posterior to the knee were highlighted to varying degrees. Conclusions This study initially demonstrated the feasibility of DeepKOA in the prediction of KOA progression and identified the potential responsible structures which may enlighten the future development of more clinically practical methods.
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Affiliation(s)
- Jiaping Hu
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Chuanyang Zheng
- Department of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Qingling Yu
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Lijie Zhong
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Keyan Yu
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yanjun Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Zhao Wang
- Department of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Bin Zhang
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qi Dou
- Department of Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
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Fu M, Ji X, Zhong L, Wu Q, Li H, Wang N. [Expression changes of Na V channel subunits correlate with developmental maturation of electrophysiological characteristics of rat cerebellar Purkinje neurons]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1102-1109. [PMID: 37488792 PMCID: PMC10366519 DOI: 10.12122/j.issn.1673-4254.2023.07.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the variations in the expression of voltage-gated sodium (Nav) channel subunits during development of rat cerebellar Purkinje neurons and their correlation with maturation of electrophysiological characteristics of the neurons. METHODS We observed the changes in the expression levels of NaV1.1, 1.2, 1.3 and 1.6 during the development of Purkinje neurons using immunohistochemistry in neonatal (5-7 days after birth), juvenile (12-14 days), adolescent (21-24 days), and adult (42-60 days) SD rats. Using whole-cell patch-clamp technique, we recorded the spontaneous electrical activity of the neurons in ex vivo brain slices of rats of different ages to analyze the changes of electrophysiological characteristics of these neurons during development. RESULTS The expression of NaV subunits in rat cerebellar Purkinje neurons showed significant variations during development. NaV1.1 subunit was highly expressed throughout the developmental stages and increased progressively with age (P < 0.05). NaV1.2 expression was not detected in the neurons in any of the developmental stages (P > 0.05). The expression level of NaV1.3 decreased with development and became undetectable after adolescence (P < 0.05). NaV1.6 expression was not detected during infancy, but increased with further development (P < 0.05). NaV1.1 and NaV1.3 were mainly expressed in the early stages of development. With the maturation of the rats, NaV1.3 expression disappeared and NaV1.6 expression increased in the neurons. NaV1.1 and NaV1.6 were mainly expressed after adolescence. The total NaV protein level increased gradually with development (P < 0.05) and tended to stabilize after adolescence. The spontaneous frequency and excitability of the Purkinje neurons increased gradually with development and reached the mature levels in adolescence. The developmental expression of NaV subunits was positively correlated with discharge frequency (r=0.9942, P < 0.05) and negatively correlated with the excitatory threshold of the neurons (r=0.9891, P < 0.05). CONCLUSION The changes in the expression levels of NaV subunits are correlated with the maturation of high frequency electrophysiological properties of the neurons, suggesting thatmature NaV subunit expressions is the basis of maturation of electrophysiological characteristics of the neurons.
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Affiliation(s)
- M Fu
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - X Ji
- Department of Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Zhong
- Disease Control Department, 74th Army Group Hospital of PLA, Guangzhou 510300, China
| | - Q Wu
- Department of Basic Medicine, Guangdong Jiangmen Chinese Medicine College, Jiangmen 529000, China
| | - H Li
- Department of Mathematical Physics, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - N Wang
- Department of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
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10
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Wang X, Leng S, Lu Z, Huang S, Lee BH, Baskaran L, Yew MS, Teo L, Chan MY, Ngiam KY, Lee HK, Zhong L, Huang W. Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-4. [PMID: 38083399 DOI: 10.1109/embc40787.2023.10340650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Automatic coronary artery stenosis grading plays an important role in the diagnosis of coronary artery disease. Due to the difficulty of learning the informative features from varying grades of stenosis, it is still a challenging task to identify coronary artery stenosis from coronary CT angiography (CCTA). In this paper, we propose a context-aware deep network (CADN) for coronary artery stenosis classification. The proposed method integrates 3D CNN with Transformer to improve the feature representation of coronary artery stenosis in CCTA. We evaluate the proposed method on a multicenter dataset (APOLLO study with NCT05509010). Experimental results show that our proposed method can achieve the accuracy of 0.84, 0.83, and 0.86 for stenosis diagnosis on the lesion, artery, and patient levels, respectively.
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11
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Zhang CN, Liu XY, Li Q, Song YZ, Liu B, Yin J, Yang JH, Zhong L, Sun L, Zhang X, Chen W. [Assessment of the diagnostic value and prognosis of different detection markers in endocervical adenocarcinoma]. Zhonghua Zhong Liu Za Zhi 2023; 45:402-409. [PMID: 37188625 DOI: 10.3760/cma.j.cn112152-20220705-00473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Objective: To study the diagnostic value of different detection markers in histological categories of endocervical adenocarcinoma (ECA), and their assessment of patient prognosis. Methods: A retrospective study of 54 patients with ECA in the Cancer Hospital, Chinese Academy of Medical Sciences from 2005-2010 were performed. The cases of ECA were classified into two categories, namely human papillomavirus-associated adenocarcinoma (HPVA) and non-human papillomavirus-associated adenocarcinoma (NHPVA), based on the 2018 international endocervical adenocarcinoma criteria and classification (IECC). To detect HR-HPV DNA and HR-HPV E6/E7 mRNA in all patients, we used whole tissue section PCR (WTS-PCR) and HPV E6/E7 mRNA in situ hybridization (ISH) techniques, respectively. Additionally, we performed Laser microdissection PCR (LCM-PCR) on 15 randomly selected HR-HPV DNA-positive cases to confirm the accuracy of the above two assays in identifying ECA lesions. Receiver operating characteristic (ROC) curves were used to analyze the efficacy of markers to identify HPVA and NHPVA. Univariate and multifactorial Cox proportional risk model regression analyses were performed for factors influencing ECA patients' prognoses. Results: Of the 54 patients with ECA, 30 were HPVA and 24 were NHPVA. A total of 96.7% (29/30) of HPVA patients were positive for HR-HPV DNA and 63.3% (19/30) for HR-HPV E6/E7 mRNA, and 33.3% (8/24) of NHPVA patients were positive for HR-HPV DNA and HR-HPV E6/E7 mRNA was not detected (0/24), and the differences were statistically significant (P<0.001). LCM-PCR showed that five patients were positive for HR-HPV DNA in the area of glandular epithelial lesions and others were negative, which was in good agreement with the E6/E7 mRNA ISH assay (Kappa=0.842, P=0.001). Analysis of the ROC results showed that the AUC of HR-HPV DNA, HR-HPV E6/E7 mRNA, and p16 to identify HPVA and NHPVA were 0.817, 0.817, and 0.692, respectively, with sensitivities of 96.7%, 63.3%, and 80.0% and specificities of 66.7%, 100.0%, and 58.3%, respectively. HR-HPV DNA identified HPVA and NHPVA with higher AUC than p16 (P=0.044). The difference in survival rates between HR-HPV DNA (WTS-PCR assay) positive and negative patients was not statistically significant (P=0.156), while the difference in survival rates between HR-HPV E6/E7 mRNA positive and negative patients, and p16 positive and negative patients were statistically significant (both P<0.05). Multifactorial Cox regression analysis showed that International Federation of Obstetrics and Gynecology (FIGO) staging (HR=19.875, 95% CI: 1.526-258.833) and parametrial involvement (HR=14.032, 95% CI: 1.281-153.761) were independent factors influencing the prognosis of patients with ECA. Conclusions: HR-HPV E6/E7 mRNA is more reflective of HPV infection in ECA tissue. The efficacy of HR-HPV E6/E7 mRNA and HR-HPV DNA (WTS-PCR assay) in identifying HPVA and NHPVA is similar, with higher sensitivity of HR-HPV DNA and higher specificity of HR-HPV E6/E7 mRNA. HR-HPV DNA is more effective than p16 in identifying HPVA and NHPVA. HPV E6/E7 mRNA and p16 positive ECA patients have better survival rates than negative.
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Affiliation(s)
- C N Zhang
- School of Life Science, Hebei University, Baoding 071002, China
| | - X Y Liu
- Department of Pathology, Peking University, People' Hospital, Beijing 100044, China
| | - Q Li
- Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100021, China
| | - Y Z Song
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - B Liu
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - J Yin
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J H Yang
- Department of Gynecology, Mianyang Maternity & Child Healthcare Hospital, Mianyang 621000, China
| | - L Zhong
- School of Life Science, Hebei University, Baoding 071002, China
| | - L Sun
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - X Zhang
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - W Chen
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
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12
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Evering TH, Chew KW, Giganti MJ, Moser C, Pinilla M, Wohl DA, Currier JS, Eron JJ, Javan AC, Bender Ignacio R, Margolis D, Zhu Q, Ma J, Zhong L, Yan L, D'Andrea Nores U, Hoover K, Mocherla B, Choudhary MC, Deo R, Ritz J, Fischer WA, Fletcher CV, Li JZ, Hughes MD, Smith D, Daar ES. Safety and Efficacy of Combination SARS-CoV-2 Neutralizing Monoclonal Antibodies Amubarvimab Plus Romlusevimab in Nonhospitalized Patients With COVID-19. Ann Intern Med 2023; 176:658-666. [PMID: 37068272 PMCID: PMC10150320 DOI: 10.7326/m22-3428] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/19/2023] Open
Abstract
BACKGROUND Development of safe and effective SARS-CoV-2 therapeutics is a high priority. Amubarvimab and romlusevimab are noncompeting anti-SARS-CoV-2 monoclonal antibodies with an extended half-life. OBJECTIVE To assess the safety and efficacy of amubarvimab plus romlusevimab. DESIGN Randomized, placebo-controlled, phase 2 and 3 platform trial. (ClinicalTrials.gov: NCT04518410). SETTING Nonhospitalized patients with COVID-19 in the United States, Brazil, South Africa, Mexico, Argentina, and the Philippines. PATIENTS Adults within 10 days onset of symptomatic SARS-CoV-2 infection who are at high risk for clinical progression. INTERVENTION Combination of monoclonal antibodies amubarvimab plus romlusevimab or placebo. MEASUREMENTS Nasopharyngeal and anterior nasal swabs for SARS-CoV-2, COVID-19 symptoms, safety, and progression to hospitalization or death. RESULTS Eight-hundred and seven participants who initiated the study intervention were included in the phase 3 analysis. Median age was 49 years (quartiles, 39 to 58); 51% were female, 18% were Black, and 50% were Hispanic or Latino. Median time from symptom onset at study entry was 6 days (quartiles, 4 to 7). Hospitalizations and/or death occurred in 9 (2.3%) participants in the amubarvimab plus romlusevimab group compared with 44 (10.7%) in the placebo group, with an estimated 79% reduction in events (P < 0.001). This reduction was similar between participants with 5 or less and more than 5 days of symptoms at study entry. Grade 3 or higher treatment-emergent adverse events through day 28 were seen less frequently among participants randomly assigned to amubarvimab plus romlusevimab (7.3%) than placebo (16.1%) (P < 0.001), with no severe infusion reactions or drug-related serious adverse events. LIMITATION The study population was mostly unvaccinated against COVID-19 and enrolled before the spread of Omicron variants and subvariants. CONCLUSION Amubarvimab plus romlusevimab was safe and significantly reduced the risk for hospitalization and/or death among nonhospitalized adults with mild to moderate SARS-CoV-2 infection at high risk for progression to severe disease. PRIMARY FUNDING SOURCE National Institute of Allergy and Infectious Diseases of the National Institutes of Health.
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Affiliation(s)
| | - Kara W Chew
- David Geffen School of Medicine at UCLA, Los Angeles, California (K.W.C., J.S.C.)
| | - Mark J Giganti
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.J.G., C.M., M.P., J.R., M.D.H.)
| | - Carlee Moser
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.J.G., C.M., M.P., J.R., M.D.H.)
| | - Mauricio Pinilla
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.J.G., C.M., M.P., J.R., M.D.H.)
| | - David Alain Wohl
- University of North Carolina, Chapel Hill, North Carolina (D.A.W., J.J.E., W.A.F.)
| | - Judith S Currier
- David Geffen School of Medicine at UCLA, Los Angeles, California (K.W.C., J.S.C.)
| | - Joseph J Eron
- University of North Carolina, Chapel Hill, North Carolina (D.A.W., J.J.E., W.A.F.)
| | | | | | - David Margolis
- Brii Biosciences, Durham, North Carolina (D.M., Q.Z., J.M., L.Z., L.Y.)
| | - Qing Zhu
- Brii Biosciences, Durham, North Carolina (D.M., Q.Z., J.M., L.Z., L.Y.)
| | - Ji Ma
- Brii Biosciences, Durham, North Carolina (D.M., Q.Z., J.M., L.Z., L.Y.)
| | - Lijie Zhong
- Brii Biosciences, Durham, North Carolina (D.M., Q.Z., J.M., L.Z., L.Y.)
| | - Li Yan
- Brii Biosciences, Durham, North Carolina (D.M., Q.Z., J.M., L.Z., L.Y.)
| | | | | | | | - Manish C Choudhary
- Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts (M.C.C., R.D., J.Z.L.)
| | - Rinki Deo
- Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts (M.C.C., R.D., J.Z.L.)
| | - Justin Ritz
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.J.G., C.M., M.P., J.R., M.D.H.)
| | - William A Fischer
- University of North Carolina, Chapel Hill, North Carolina (D.A.W., J.J.E., W.A.F.)
| | | | - Jonathan Z Li
- Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts (M.C.C., R.D., J.Z.L.)
| | - Michael D Hughes
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.J.G., C.M., M.P., J.R., M.D.H.)
| | - Davey Smith
- University of California, San Diego, San Diego, California (D.S.)
| | - Eric S Daar
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California (E.S.D.)
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13
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Liang R, Zhong L, Zhang Y, Tang Y, Lai M, Han T, Wang W, Bao Y, Ma Y, Gan S, Niu L. Directly Using Ti 3C 2T x MXene for a Solid-Contact Potentiometric pH Sensor toward Wearable Sweat pH Monitoring. Membranes (Basel) 2023; 13:376. [PMID: 37103803 PMCID: PMC10141058 DOI: 10.3390/membranes13040376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/06/2023] [Accepted: 03/22/2023] [Indexed: 06/19/2023]
Abstract
The level of hydrogen ions in sweat is one of the most important physiological indexes for the health state of the human body. As a type of two-dimensional (2D) material, MXene has the advantages of superior electrical conductivity, a large surface area, and rich functional groups on the surface. Herein, we report a type of Ti3C2Tx-based potentiometric pH sensor for wearable sweat pH analysis. The Ti3C2Tx was prepared by two etching methods, including a mild LiF/HCl mixture and HF solution, which was directly used as the pH-sensitive materials. Both etched Ti3C2Tx showed a typical lamellar structure and exhibited enhanced potentiometric pH responses compared with a pristine precursor of Ti3AlC2. The HF-Ti3C2Tx disclosed the sensitivities of -43.51 ± 0.53 mV pH-1 (pH 1-11) and -42.73 ± 0.61 mV pH-1 (pH 11-1). A series of electrochemical tests demonstrated that HF-Ti3C2Tx exhibited better analytical performances, including sensitivity, selectivity, and reversibility, owing to deep etching. The HF-Ti3C2Tx was thus further fabricated as a flexible potentiometric pH sensor by virtue of its 2D characteristic. Upon integrating with a solid-contact Ag/AgCl reference electrode, the flexible sensor realized real-time monitoring of pH level in human sweat. The result disclosed a relatively stable pH value of ~6.5 after perspiration, which was consistent with the ex situ sweat pH test. This work offers a type of MXene-based potentiometric pH sensor for wearable sweat pH monitoring.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Li Niu
- Correspondence: (L.Z.); (L.N.)
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14
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Cui X, Zhong L, Zhao X, Xie J, He D, Yang X, Lin K, Wang H, Niu L. Ultrafine Co nanoparticles confined in nitrogen-doped carbon toward two-electron oxygen reduction reaction for H2O2 electrosynthesis in acidic media. CHINESE CHEM LETT 2023. [DOI: 10.1016/j.cclet.2023.108291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
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15
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Cheng N, Tan EWP, Leng S, Baskaran L, Teo L, Yew MS, Singh M, Huang WM, Chan MYY, Ngiam KY, Vaughan R, Chua T, Tan SY, Lee HK, Zhong L. Machine learning accurately quantifies epicardial adipose tissue from non-contrast CT images in coronary artery disease. Eur Heart J 2023. [DOI: 10.1093/eurheartj/ehac779.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Other. Main funding source(s): Industry Alignment Fund – Pre-positioning Programme
Background
Epicardial adipose tissue (EAT) is the visceral fat deposit within the pericardium that surrounds the heart and the coronary arteries. EAT volume measured from non-contrast CT (NCCT) has been demonstrated to be significantly associated with adverse cardiovascular risk,1 particularly in patients with coronary artery disease.2 However, routine measurement of EAT volume is still challenging in clinical practice, as it is a tedious manual process and prone to human error.
Purpose
We aimed to develop a fully automated AI toolkit (i.e., AI EAT) for the quantification of EAT from routine NCCT scans and assess its performance in reference to clinical ground truth.
Methods
This is a multicenter study which performs CT scans in 5000 Asian Admixture patients (APOLLO study NCT05509010). In the current stage of this study, NCCT data analysis were conducted in 551 patients with 26,037 images. AI EAT was developed via a novel deep learning framework using an ensemble region-based UNet. The region-based UNet uses 2 component UNet models to perform segmentation of pericardium at the apex region and non-apex region (middle and basal). EAT volume was obtained by automated thresholding of the voxels (-190 to -30 Hounsfield Unit) within the pericardium (Figure 1). The network was trained in 501 patients with 23,712 NCCT images and tested in 50 patients with 2,325 NCCT images. The performance of AI EAT was evaluated with respect to clinical ground truth using Dice similarity coefficient (DSC), Pearson correlation, and Bland-Altman analysis.
Results
The AI EAT quantification process took less than 10 seconds per subject, compared with 20-30 minutes for expert readers. Compared to clinical ground truth, our AI EAT achieved a DSC of 0.96±0.01 and 0.91±0.02 for pericardium and EAT segmentations, respectively. There was strong agreement between the AI EAT and clinical ground truth in deriving the EAT volume (r=0.99, P<0.001) with minimal error of 7±5%.
Conclusion
End-to-end deep learning system accurately quantifies epicardial adipose tissue in standard NCCT images without manual segmentation.
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Affiliation(s)
- N Cheng
- Bioinformatics Institute, A*STAR , Singapore , Singapore
| | - E W P Tan
- Bioinformatics Institute, A*STAR , Singapore , Singapore
| | - S Leng
- National Heart Centre Singapore; Duke-NUS Medical School , Singapore , Singapore
| | - L Baskaran
- National Heart Centre Singapore; Duke-NUS Medical School , Singapore , Singapore
| | - L Teo
- National University Hospital; National University of Singapore, Department of Diagnostic Imaging; Yong Loo Lin School of Medicine , Singapore , Singapore
| | - M S Yew
- Tan Tock Seng Hospital , Singapore , Singapore
| | - M Singh
- Bioinformatics Institute, A*STAR , Singapore , Singapore
| | - W M Huang
- Institute for Infocomm Research, A*STAR , Singapore , Singapore
| | - M Y Y Chan
- National University Heart Centre; National University of Singapore, Department of Cardiology; Yong Loo Lin School of Medicine , Singapore , Singapore
| | - K Y Ngiam
- National University Hospital; National University of Singapore; National University Health System, Department of Surgery; Yong Loo Lin School of Medicine , Singapore , Singapore
| | - R Vaughan
- Duke-NUS Medical School , Singapore , Singapore
| | - T Chua
- National Heart Centre Singapore; Duke-NUS Medical School , Singapore , Singapore
| | - S Y Tan
- National Heart Centre Singapore; Duke-NUS Medical School , Singapore , Singapore
| | - H K Lee
- Bioinformatics Institute, A*STAR , Singapore , Singapore
| | - L Zhong
- National Heart Centre Singapore; Duke-NUS Medical School , Singapore , Singapore
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Yu K, Ying J, Zhao T, Lei L, Zhong L, Hu J, Zhou JW, Huang C, Zhang X. Prediction model for knee osteoarthritis using magnetic resonance-based radiomic features from the infrapatellar fat pad: data from the osteoarthritis initiative. Quant Imaging Med Surg 2023; 13:352-369. [PMID: 36620171 PMCID: PMC9816749 DOI: 10.21037/qims-22-368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 10/31/2022] [Indexed: 11/21/2022]
Abstract
Background The infrapatellar fat pad (IPFP) plays an important role in the incidence of knee osteoarthritis (OA). Magnetic resonance (MR) signal heterogeneity of the IPFP is related to pathologic changes. In this study, we aimed to investigate whether the IPFP radiomic features have predictive value for incident radiographic knee OA (iROA) 1 year prior to iROA diagnosis. Methods Data used in this work were obtained from the osteoarthritis initiative (OAI). In this study, iROA was defined as a knee with a baseline Kellgren-Lawrence grade (KLG) of 0 or 1 that further progressed to KLG ≥2 during the follow-up visit. Intermediate-weighted turbo spin-echo knee MR images at the time of iROA diagnosis and 1 year prior were obtained. Five clinical characteristics-age, sex, body mass index, knee injury history, and knee surgery history-were obtained. A total of 604 knees were selected and matched (302 cases and 302 controls). A U-Net segmentation model was independently trained to automatically segment the IPFP. The prediction models were established in the training set (60%). Three main models were generated using (I) clinical characteristics; (II) radiomic features; (III) combined (clinical plus radiomic) features. Model performance was evaluated in an independent testing set (remaining 40%) using the area under the curve (AUC). Two secondary models were also generated using Hoffa-synovitis scores and clinical characteristics. Results The comparison between the automated and manual segmentations of the IPFP achieved a Dice coefficient of 0.900 (95% CI: 0.891-0.908), which was comparable to that of experienced radiologists. The radiomic features model and the combined model yielded superior AUCs of 0.700 (95% CI: 0.630-0.763) and 0.702 (95% CI: 0.635-0.763), respectively. The DeLong test found no statistically significant difference between the receiver operating curves of the radiomic and combined models (P=0.831); however, both models outperformed the clinical model (P=0.014 and 0.004, respectively). Conclusions Our results demonstrated that radiomic features of the IPFP are predictive of iROA 1 year prior to the diagnosis, suggesting that IPFP radiomic features can serve as an early quantitative prediction biomarker of iROA.
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Affiliation(s)
- Keyan Yu
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China;,Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Jia Ying
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Tianyun Zhao
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Lan Lei
- Program in Public Health, Stony Brook Medicine, Stony Brook, NY, USA;,Department of Medicine, Northside Hospital Gwinnett, Lawrenceville, GA, USA
| | - Lijie Zhong
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Jiaping Hu
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Juin W. Zhou
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Chuan Huang
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA;,Department of Radiology, Stony Brook Medicine, Stony Brook, NY, USA;,Department of Psychiatry, Stony Brook Medicine, Stony Brook, NY, USA
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
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Newmeyer N, Zhong L, Cheslock M, Sison SDM, Raman V, Whyman JD, Kim DH. Letter to the Editor: Utility of Serial Patient Reported Outcomes Measurement Information System (PROMIS®) Physical Function Assessment in a Geriatrics Outpatient Clinic. J Frailty Aging 2023; 12:329-330. [PMID: 38008986 PMCID: PMC10851913 DOI: 10.14283/jfa.2023.32] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2023]
Affiliation(s)
- N Newmeyer
- Natalie Newmeyer, 1 Brookline Pl Ste 230, Brookline, MA, USA,
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Chen S, Zhong L, Qiu C, Zhang Z, Zhang X. Transformer-based multilevel region and edge aggregation network for magnetic resonance image segmentation. Comput Biol Med 2023; 152:106427. [PMID: 36543009 DOI: 10.1016/j.compbiomed.2022.106427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 11/18/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
To improve the quality of magnetic resonance (MR) image edge segmentation, some researchers applied additional edge labels to train the network to extract edge information and aggregate it with region information. They have made significant progress. However, due to the intrinsic locality of convolution operations, the convolution neural network-based region and edge aggregation has limitations in modeling long-range information. To solve this problem, we proposed a novel transformer-based multilevel region and edge aggregation network for MR image segmentation. To the best of our knowledge, this is the first literature on transformer-based region and edge aggregation. We first extract multilevel region and edge features using a dual-branch module. Then, the region and edge features at different levels are inferred and aggregated through multiple transformer-based inference modules to form multilevel complementary features. Finally, the attention feature selection module aggregates these complementary features with the corresponding level region and edge features to decode the region and edge features. We evaluated our method on a public MR dataset: Medical image computation and computer-assisted intervention atrial segmentation challenge (ASC). Meanwhile, the private MR dataset considered infrapatellar fat pad (IPFP). Our method achieved a dice score of 93.2% for ASC and 91.9% for IPFP. Compared with other 2D segmentation methods, our method improved a dice score by 0.6% for ASC and 3.0% for IPFP.
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Affiliation(s)
- Shaolong Chen
- School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, 518107, China
| | - Lijie Zhong
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou, 510630, China
| | - Changzhen Qiu
- School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, 518107, China
| | - Zhiyong Zhang
- School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, 518107, China.
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou, 510630, China.
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Gan S, Liao C, Liang R, Du S, Zhong L, Tang Y, Han T, Bao Y, Sun Z, Ma Y, Niu L. A Solid-Contact Reference Electrode Based on Silver/Silver Organic Insoluble Salt for Potentiometric Ion Sensing. ACS Meas Sci Au 2022; 2:568-575. [PMID: 36785773 PMCID: PMC9886000 DOI: 10.1021/acsmeasuresciau.2c00036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 06/18/2023]
Abstract
Solid-contact ion-selective electrodes are a type of ion measurement devices that have been focused in wearable biotechnology based on the features of miniaturization and integration. However, the solid-contact reference electrodes (SC-REs) remain relatively less focused compared with numerous working (or indicator) electrodes. Most SC-REs in wearable sensors rely on Ag/AgCl reference electrodes with solid electrolytes, for example, the hydrophilic electrolyte salts in polymer matrix, but face the risk of electrolyte leakage. Herein, we report a type of SC-REs based on the silver/silver tetraphenylborate (Ag/AgTPB) organic insoluble electrode. The SC-RE consists of a Ag substrate, a solid contact (AgTPB), and a plasticized poly(vinyl chloride) (PVC) membrane containing the hydrophobic organic salt of tetrabutylammonium tetraphenylborate (TBATPB). The potentiometric measurements demonstrated that the SC-RE of Ag/AgTPB/PVC-TBATPB showed a reproducible standard potential in various electrolytes and disclosed high long-term stability. This SC-RE was further fabricated on a flexible substrate and integrated into all-solid-state wearable potentiometric ion sensor for sweat Cl- monitoring.
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Affiliation(s)
- Shiyu Gan
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Chunxian Liao
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Rongfeng Liang
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Sanyang Du
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Lijie Zhong
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yitian Tang
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Tingting Han
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yu Bao
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Zhonghui Sun
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yingming Ma
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Li Niu
- Guangzhou
Key Laboratory of Sensing Materials & Devices, Center for Advanced
Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
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20
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Margolis DA, Ma J, Watkins M, Wang Y, Trivedi C, Wei X, Zhong L, Patel K, Yan L, Hong Z, Girardet JL, Xu L. 1283. Safety, Tolerability, and Pharmacokinetics of BRII-778, A Modified-Release Oral Formulation of Rilpivirine in Healthy Adult Subjects. Open Forum Infect Dis 2022. [PMCID: PMC9752700 DOI: 10.1093/ofid/ofac492.1114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Background BRII-778 is a modified release (MR) formulation of rilpivirine for once-weekly (QW) oral administration. BRII-778 aims to prolong oral absorption, lower Cmax, relatively, and reduce peak to trough ratio achieved with a MR formulation of rilpivirine, within the known efficacy and safety bounds established by once daily oral administration of rilpivirine. QW BRII-778 dosing may have advantages over once daily rilpirvirine in terms of patient convenience, and treatment adherence. Multiple MR formulations of rilpivirine were evaluated in healthy adult subjects in this Phase 1 study. Methods This was a Phase 1, randomized, double-blinded, placebo-controlled, study of single ascending dose (SAD) and multiple ascending dose (MAD) cohorts, evaluating the safety, tolerability, and PK of BRII-778. Three MR formulations of rilpivirine, BRII-778-A1, -A2, and -A3, were evaluated in this study. Rilpivirine PK profiles after single or multiple doses of the three BRII-778 formulations were characterized under the fed state over the dose range of 150 mg to 750 mg. Food effect was assessed after a single oral dose of BRII-778-A3 750 mg. Exploratory concentration-QTc (C-QTc) analysis was conducted using combined SAD and MAD data. Results BRII-778 as single dose or multiple doses was generally safe and well-tolerated when administered to healthy adult subjects. There were no Grade ≥3 AEs, SAEs or AEs leading to withdrawal in BRII-778 dosing arms. PK profiles of BRII-778 were consistent with slower oral absorption with MR formulation. The increase in exposure was less than dose proportional. Mild accumulation in plasma was observed after 3 QW BRII-778-A3 doses. BRII-778-A3 750 mg under the fed state enhanced bioavailability by improving gastric dissolution and/or subsequent absorption. Exploratory C-QTc analysis confirmed a concentration-dependent effect on the QTc interval with escalating doses of BRII-778, but the interpretations are limited by small sample size. There were no clinically significant EKG changes and no individual subject met QTc stopping criteria. Conclusion SAD and MAD administration of BRII-778 formulations were generally safe and well tolerated. Rilpivirine PK profiles post BRII-778 dosing supports further evaluation of BRII-778 for potential QW regimen. Disclosures David A. Margolis, MD MPH, Brii Biosciences: Stocks/Bonds Ji Ma, PhD, Brii Biosciences: Stocks/Bonds Michael Watkins, PharmD, Brii Biosciences: Stocks/Bonds Yujin Wang, M.Sc., Brii Biosciences: Stocks/Bonds Chetana Trivedi, B.A., Brii Biosciences: Stocks/Bonds Xuelian Wei, PhD, Brii Biosciences: Stocks/Bonds Lijie Zhong, PhD, Brii Biosciences: Stocks/Bonds Kamlesh Patel, PhD, Brii Biosciences: Stocks/Bonds Li Yan, MD PhD, Brii Biosciences: Stocks/Bonds Zhi Hong, PhD, Brii Biosciences: Ownership Interest Jean-Luc Girardet, PhD, Brii Biosciences: Stocks/Bonds Lianhong Xu, PhD, Brii Biosciences: Stocks/Bonds.
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Affiliation(s)
| | - Ji Ma
- Brii Biosciences, Durham, NC
| | | | | | | | | | | | | | - Li Yan
- Brii Biosciences, Durham, NC
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Margolis DA, Ma J, Watkins M, Wang Y, Trivedi C, Peng CC, Wei X, Zhong L, Patel K, Girardet JL, Wang M, VonderEmbse A, Yan L, Hong Z, Xu L. 1282. Safety, Tolerability, and Pharmacokinetics of BRII-732, A Medoxomil Carbonate Prodrug of Islatravir in Healthy Adult Subjects. Open Forum Infect Dis 2022. [DOI: 10.1093/ofid/ofac492.1113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Abstract
Background
BRII-732, a prodrug of islatravir (ISL), is a potent HIV-1 nucleotide reverse transcriptase translocation inhibitor. Following oral absorption, BRII-732 is rapidly converted to ISL, which is metabolized intracellularly to the active metabolite, ISL triphosphate (ISL-TP). Single doses of ISL as low as 0.5 mg significantly suppressed HIV-1 RNA by more than 1.0 log at day 7 in treatment-naive adults with HIV-1 infection. Current development work with BRII-732 is designed to provide optimal drug exposure to enable once weekly (QW) dosing, to be part of combination antiretroviral therapy to provide improved patient convenience and treatment adherence.
Methods
This was a Phase 1, randomized, double-blind, placebo-controlled study consisting of healthy adult subjects enrolled in five single ascending dose and two multiple ascending dose cohorts. The objectives of the study were to assess the safety, tolerability, and PK profiles of BRII-732 and ISL in plasma; ISL-DP and ISL-TP in human PBMCs. BRII-732 was orally administered in the fasted state using an oral solution formulation. Safety-related assessments included physical examinations, ECGs, vital signs, AEs, and standard clinical laboratory tests.
Results
BRII-732 as single dose or multiple doses was generally safe and well-tolerated when administered to healthy adult subjects. There were no Grade ≥ 3 AEs, SAEs, drug-related AEs leading to withdrawal or graded lymphocyte abnormalities. BRII-732 rapidly converted to ISL post BRII-732 oral administration with no detectable level (LLOQ = 1.0 ng/mL) of BRII-732 in systemic circulation at 0.5h. Dose proportional ISL exposure increases were observed over the dose range of 10 mg to 200 mg of BRII-732. No meaningful ISL accumulation in plasma was observed after 3 QW BRII-732 doses. ISL-DP and ISL-TP exposures in PBMC cells increased dose-dependently. Approximately 1.7-2.0 fold accumulation ratios for ISL-DP and ISL-TP are consistent with observed long terminal half-lives of 110-150 hours.
Conclusion
Safety, tolerability and PK profiles including ISL in plasma and ISL-TP in PBMC cells after single and multiple oral administrations of BRII-732 supports further development of BRII-732 as part of oral weekly combination antiretroviral therapy.
Disclosures
David A. Margolis, MD MPH, Brii Biosciences: Stocks/Bonds Ji Ma, PhD, Brii Biosciences: Stocks/Bonds Michael Watkins, PharmD, Brii Biosciences: Stocks/Bonds Yujin Wang, M.Sc., Brii Biosciences: Stocks/Bonds Chetana Trivedi, B.A., Brii Biosciences: Stocks/Bonds Chi-Chi Peng, PhD, Brii Biosciences: Stocks/Bonds Xuelian Wei, PhD, Brii Biosciences: Stocks/Bonds Lijie Zhong, PhD, Brii Biosciences: Stocks/Bonds Kamlesh Patel, PhD, Brii Biosciences: Stocks/Bonds Jean-Luc Girardet, PhD, Brii Biosciences: Stocks/Bonds Michael Wang, PhD MBA, Brii Biosciences: Stocks/Bonds Annalise VonderEmbse, PhD, Brii Biosciences: Stocks/Bonds Li Yan, MD PhD, Brii Biosciences: Stocks/Bonds Zhi Hong, PhD, Brii Biosciences: Ownership Interest Lianhong Xu, PhD, Brii Biosciences: Stocks/Bonds.
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Affiliation(s)
| | - Ji Ma
- Brii Biosciences , Durham, NC
| | | | | | | | | | | | | | | | | | | | | | - Li Yan
- Brii Biosciences , Durham, NC
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Shen LJ, Zhuansun SY, Ni BW, Zhang MY, Lu SS, Hua YN, Xiao D, Huang HH, Han XF, Zhong L, Zhong H, Wang T, Hou J. [Effect of autologous hematopoietic stem cell transplantation on minimal residual disease in patients with multiple myeloma]. Zhonghua Yi Xue Za Zhi 2022; 102:2861-2867. [PMID: 36153871 DOI: 10.3760/cma.j.cn112137-20211224-02889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To evaluate the effect of autologous hematopoietic stem cell transplantation (ASCT) on minimal residual disease (MRD) in patients with multiple myeloma (MM). Method: From August 2018 to August 2021, 92 patients newly diagnosed with MM who had received either the bortezomib combined with cyclophosphamide and dexamethasone (VCD) or the bortezomib, lenalidomide and dexamethasone (VRD) induction regimens followed by sequential ASCT were assessed for overall survival (OS) and the MRD negative rate. The differences in efficacy at 100 days after transplantation were assessed according to factors, including age, risk stratification, target organ damage, and pre-transplant regimen, etc. Results: Among the 92 patients, there were 45 males and 47 females, with a median age of 57.3 (35-67) years. Fifty-seven patients received the VCD regimen, and 35 received VRD as induction regimen. Forty-three patients received busulphan combined with cyclophosphamide and etoposide (BCV), and 49 patients received high-dose melphan (HDM) regimen as pre-transplantation treatment. After transplantation, the total complete remission (CR) rate of 92 patients increased from 23.9% (22/92) to 58.7% (54/92), and the MRD negative rate increased from 4.4% (4/92) to 33.7% (31/92), and the differences were statistically significant (all P<0.05). After transplantation, the MRD negative rates of patients with PR, VGPR and ≥CR before transplantation were 17.6% (6/34), 33.3% (12/36) and 59.1% (13/22), respectively (P=0.006). The CR rates of patients with or without plasmacytoma at initial diagnosis were 36.4% (4/11) and 65.4% (53/81), respectively (P=0.029), and the MRD negative rates were 18.2% (2/11) and 39.5% (32/81), respectively (P=0.037), and the differences were statistically significant. The MRD negative rates in high-risk patients and standard-risk group were 30.5% (12/28) and 42.9% (18/59), respectively (P=0.258). For patients who achieved efficacy above VGPR before transplantation, the MRD negative rates after transplantation in VCD-induced group and VRD group were 29% (9/31) and 59.3% (16/27), respectively (P=0.033), and in BCV group and HDM group were 24% (6/25) and 57.6% (19/33), respectively (P=0.016), the differences between the groups were both statistically significant. Conclusion: ASCT can overcome the adverse factors such as high-risk cytogenetic abnormalities, and significantly improve the CR rate and MRD negative rate of MM patients. However, the benefit for patients with plasmacytoma at initial diagnosis is not as good as that of patients without.
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Affiliation(s)
- L J Shen
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - S Y Zhuansun
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - B W Ni
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - M Y Zhang
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - S S Lu
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Y N Hua
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - D Xiao
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - H H Huang
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - X F Han
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - L Zhong
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - H Zhong
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - T Wang
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - J Hou
- Department of Hematology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
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Zhang Y, Tang Y, Liang R, Zhong L, Xu J, Lu H, Xu X, Han T, Bao Y, Ma Y, Gan S, Niu L. Carbon-Based Transducers for Solid-Contact Calcium Ion-Selective Electrodes: Mesopore and Nitrogen-Doping Effects. Membranes (Basel) 2022; 12:903. [PMID: 36135922 PMCID: PMC9505166 DOI: 10.3390/membranes12090903] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 09/07/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Solid-contact ion-selective electrodes (SC-ISEs) exhibit great potential in the detection of routine and portable ions which rely on solid-contact (SC) materials for the transduction of ions to electron signals. Carbon-based materials are state-of-the-art SC transducers due to their high electrical double-layer (EDL) capacitance and hydrophobicity. However, researchers have long searched for ways to enhance the interfacial capacitance in order to improve the potential stability. Herein, three representative carbon-based SC materials including nitrogen-doped mesoporous carbon (NMC), reduced graphene oxide (RGO), and carbon nanotubes (CNT) were compared. The results disclose that the NMC has the highest EDL capacitance owing to its mesopore structure and N-doping while maintaining high hydrophobicity so that no obvious water-layer effect was observed. The Ca2+-SC-ISEs based on the SC of NMC exhibited high potential stability compared with RGO and CNT. This work offers a guideline for the development of carbon-material-based SC-ISEs through mesoporous and N-doping engineering to improve the interfacial capacitance. The developed NMC-based solid-contact Ca2+-SC-ISE exhibited a Nernstian slope of 26.3 ± 3.1 mV dec-1 ranging from 10 μM to 0.1 M with a detection limit of 3.2 μM. Finally, a practical application using NMC-based SC-ISEs was demonstrated through Ca2+ ion analysis in mineral water and soil leaching solutions.
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Affiliation(s)
| | | | | | - Lijie Zhong
- Correspondence: Correspondence: (L.Z.); (L.N.)
| | | | | | | | | | | | | | | | - Li Niu
- Correspondence: Correspondence: (L.Z.); (L.N.)
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24
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Xu L, Zhong L, Tang Y, Han T, Liu S, Sun Z, Bao Y, Wang H, He Y, Wang W, Gan S, Niu L. Beyond Nonactin: Potentiometric Ammonium Ion Sensing Based on Ion-selective Membrane-free Prussian Blue Analogue Transducers. Anal Chem 2022; 94:10487-10496. [PMID: 35839308 DOI: 10.1021/acs.analchem.2c01765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The determination of ammonium ions (NH4+) is of significance to environmental, agriculture, and human health. Potentiometric NH4+ sensors based on solid-contact ion selective electrodes (SC-ISEs) feature point-of-care testing and miniaturization. However, the state-of-the-art SC-ISEs of NH4+ during the past 20 years strongly rely on the organic ammonium ionophore-based ion selective membrane (ISM), typically by nonactin for the NH4+ recognition. Herein, we report a Prussian blue analogue of copper(II)-hexacyanoferrate (CuHCF) for an ISM-free potentiometric NH4+ sensor without using the ionophores. CuHCF works as a bifunctional transducer that could realize the ion-to-electron transduction and NH4+ recognition. CuHCF exhibits competitive analytical performances regarding traditional nonactin-based SC-ISEs of NH4+, particularly for the selectivity toward K+. The cost and preparation process have been remarkably reduced. The theoretical calculation combined with electrochemical tests further demonstrate that relatively easier intercalation of NH4+ into the lattices of CuHCF determines its selectivity. This work provides a concept of the ISM-free potentiometric NH4+ sensor beyond the nonactin ionophore through a CuHCF bifunctional transducer.
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Affiliation(s)
- Longbin Xu
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Lijie Zhong
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yitian Tang
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Tingting Han
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Siyi Liu
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Zhonghui Sun
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yu Bao
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Haoyu Wang
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Ying He
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Wei Wang
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Shiyu Gan
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Li Niu
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, c/o School of Civil Engineering, Guangzhou University, Guangzhou 510006, P. R. China
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Wang C, Leng S, Tan R, Chai P, Fam J, Teo L, Chin C, Ong C, Baskaran L, Keng F, Low A, Chan M, Wong A, Chua T, Tan S, Lim S, Zhong L. 517 Computed Tomography Coronary Angiography Based Morphological Index Predicts Coronary Ischemia. J Cardiovasc Comput Tomogr 2022. [DOI: 10.1016/j.jcct.2022.06.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Yap H, Loong Y, Raffiee N, Elankovan A, Wang X, Leng S, Ng J, Zhong L, Tan S, Baskaran L. 511 Quantification Of Epicardial Adipose Tissue On Non-Contrast CT: Reproducibility In A Cohort Of 50 Asian Patients. J Cardiovasc Comput Tomogr 2022. [DOI: 10.1016/j.jcct.2022.06.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Zhong L, Li M, Du X, Ding Y, Zhang X, Mei Y, Yi P, Feng Y, Chen Y, Zhang X. Quantitative evaluation of the characteristic of infrapatellar fat pad Fat Content and Unsaturation Index by using hydrogen proton MR spectroscopy. Magn Reson Imaging 2022; 94:18-24. [DOI: 10.1016/j.mri.2022.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 07/23/2022] [Accepted: 07/27/2022] [Indexed: 10/16/2022]
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Zhong L, Zhang X, Wang L, Yuan D, Deng H, Tang J, Deng L. Synergistic engineering of shell thickness and core ordering to boost the oxygen reduction performance. Phys Chem Chem Phys 2022; 24:13784-13792. [PMID: 35612400 DOI: 10.1039/d2cp00861k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
When benchmarked against the extended Pt(111), slightly weaker adsorption and stronger cohesion properties of surface Pt are required to improve activity and durability for the oxygen reduction reaction, respectively, making it challenging to meet both requirements on one surface. Here, using Pt(111) over-layers stressed and modified by Pt-TM (TM = Fe, Co, Ni, V, Cu, Ag, and Pd) intermetallics as examples, we theoretically identified ten promising catalysts by synergistically tailoring the skin thickness and substrate chemical ordering to simultaneously achieve weak adsorption and strong cohesion. More specifically, compared with Pt(111), all candidates exhibit 10-fold enhanced activity, half of which show improved durability, such as mono-layer skin on L12-Pt3Co or Pt3Fe, double-layer Pt on L13-Pt3Ni or Pt3Cu, and triple-layer skin on L11-PtCu, while double- or triple-layer skin on L10-PtCo or PtNi and double-layer skin on L12-PtFe3 show slightly poor durability. Although L10 and L12 based nanocrystals have been demonstrated extensively as outstanding catalysts, L11 and L13 ones hold great application potential. The coexistence of high activity and durability on the same surface is because of the different responses of surface adsorption and cohesion properties to the strain effects and ligand effects. When intermetallic-core@Pt-shell nanocrystals are constructed using this slab model, the necessity of protecting or eliminating low-coordinated Pt and the possibility of maximizing Pt(111) facets and core ordering by morphology engineering were highlighted. The current discovery provides a new paradigm toward the rational design of promising cathodic catalysts.
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Affiliation(s)
- Lijie Zhong
- School of Chemistry and Materials Science, Hunan Agricultural University, Changsha, Hunan, China.
| | - Xingming Zhang
- School of Chemistry and Materials Science, Hunan Agricultural University, Changsha, Hunan, China.
| | - Liang Wang
- School of Chemistry and Materials Science, Hunan Agricultural University, Changsha, Hunan, China.
| | - Dingwang Yuan
- College of Materials Science and Engineering, Hunan University, Changsha, Hunan, China
| | - Huiqiu Deng
- School of Physics and Electronics, Hunan University, Changsha, Hunan, China
| | - Jianfeng Tang
- School of Chemistry and Materials Science, Hunan Agricultural University, Changsha, Hunan, China.
| | - Lei Deng
- School of Chemistry and Materials Science, Hunan Agricultural University, Changsha, Hunan, China.
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Tang Y, Zhong L, Wang W, He Y, Han T, Xu L, Mo X, Liu Z, Ma Y, Bao Y, Gan S, Niu L. Recent Advances in Wearable Potentiometric pH Sensors. Membranes 2022; 12:membranes12050504. [PMID: 35629830 PMCID: PMC9147059 DOI: 10.3390/membranes12050504] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/02/2022] [Accepted: 05/05/2022] [Indexed: 01/15/2023]
Abstract
Wearable sensors reflect the real–time physiological information and health status of individuals by continuously monitoring biochemical markers in biological fluids, including sweat, tears and saliva, and are a key technology to realize portable personalized medicine. Flexible electrochemical pH sensors can play a significant role in health since the pH level affects most biochemical reactions in the human body. pH indicators can be used for the diagnosis and treatment of diseases as well as the monitoring of biological processes. The performances and applications of wearable pH sensors depend significantly on the properties of the pH–sensitive materials used. At present, existing pH–sensitive materials are mainly based on polyaniline (PANI), hydrogen ionophores (HIs) and metal oxides (MOx). In this review, we will discuss the recent progress in wearable pH sensors based on these sensitive materials. Finally, a viewpoint for state–of–the–art wearable pH sensors and a discussion of their existing challenges are presented.
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Affiliation(s)
- Yitian Tang
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Lijie Zhong
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
- Correspondence: (L.Z.); (L.N.)
| | - Wei Wang
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Ying He
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Tingting Han
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Longbin Xu
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Xiaocheng Mo
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Zhenbang Liu
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
- School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 510006, China
| | - Yingming Ma
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Yu Bao
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Shiyu Gan
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
| | - Li Niu
- School of Civil Engineering, c/o Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (Y.T.); (W.W.); (Y.H.); (T.H.); (L.X.); (X.M.); (Z.L.); (Y.M.); (Y.B.); (S.G.)
- Correspondence: (L.Z.); (L.N.)
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Lyu Y, Han T, Zhong L, Tang Y, Xu L, Ma Y, Bao Y, Gan S, Bobacka J, Niu L. Coulometric ion sensing with Li+-selective LiMn2O4 electrodes. Electrochem commun 2022. [DOI: 10.1016/j.elecom.2022.107302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
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Chen Y, Zhang X, Li M, Zhong L, Ding Y, Zhang Y, Du X, Mo X, Chen J, Chen Q, Huang W, Zhong S, Zhang X. Quantitative MR evaluation of the infrapatellar fat pad for knee osteoarthritis: using proton density fat fraction and T2* relaxation based on DIXON. Eur Radiol 2022; 32:4718-4727. [PMID: 35141779 DOI: 10.1007/s00330-022-08561-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/21/2021] [Accepted: 01/03/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To investigate the efficacy of fat fraction (FF) and T2* relaxation based on DIXON in the assessment of infrapatellar fat pad (IFP) for knee osteoarthritis (KOA) progression in older adults. METHODS Ninety volunteers (age range 51-70 years, 65 females) were enrolled in this study. Participants were grouped based on the Kellgren-Lawrence grading (KLG). The FF and T2* values were measured based on the 3D-modified DXION technique. Cartilage defects, bone marrow lesions, and synovitis were assessed based on a modified version of whole-organ magnetic resonance imaging score (WORMS). Knee pain was assessed by self-administered Western Ontario and McMaster Osteoarthritis Index (WOMAC) questionnaire. The differences of FF and T2* measurement and the correlation with WORMS and WOMAC assessments were analyzed. Diagnostic efficiency was analyzed by using receiver operating characteristic (ROC) curves. RESULTS A total of 60 knees were finally included (n = 20 in each group). The values were 82.6 ± 3.7%, 74.7 ± 5.4%, and 60.5 ± 14.1% for FF is the no OA, mild OA, and advanced OA groups, and were 50.7 ± 6.6 ms, 44.1 ± 6.6 ms, and 39.1 ± 4.2 ms for T2*, respectively (all p values < 0.001). The WORMS assessment and WOMAC pain assessment showed negative correlation with FF and T2* values. The ROC showed the area under the curve (AUC), sensitivity, and specificity for diagnosing OA were 0.93, 77.5%, and 100% using FF, and were 0.86, 75.0%, and 90.0% using T2*, respectively. CONCLUSIONS FF and T2* alternations in IFP are associated with knee structural abnormalities and clinical symptoms cross-sectionally and may have the potential to predict the severity of KOA. KEY POINTS • Fat fraction (FF) and T2* relaxation based on DIXON imaging are novel methods to quantitatively assess the infrapatellar fat pad for knee osteoarthritis (KOA) progression in older adults. • The alterations of FF and T2* using mDIXON technique in IFP were associated with knee structural abnormalities and clinical symptoms. • FF and T2* alternations in IFP can serve as the new imaging biomarkers for fast, simple, and noninvasive assessment in KOA.
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Affiliation(s)
- Yanjun Chen
- School of Basic Medical Sciences, Southern Medical University, No.1023, Shatai Road South, Baiyun District, Guangzhou, 510515, Guangdong, China
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Xintao Zhang
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Mianwen Li
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Lijie Zhong
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Yukun Ding
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Yaru Zhang
- School of Basic Medical Sciences, Southern Medical University, No.1023, Shatai Road South, Baiyun District, Guangzhou, 510515, Guangdong, China
| | - Xueting Du
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Guangzhou, Guangdong, China
| | - Xianfu Mo
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Jialing Chen
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Qianmin Chen
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China
| | - Wenhua Huang
- School of Basic Medical Sciences, Southern Medical University, No.1023, Shatai Road South, Baiyun District, Guangzhou, 510515, Guangdong, China
| | - Shizhen Zhong
- School of Basic Medical Sciences, Southern Medical University, No.1023, Shatai Road South, Baiyun District, Guangzhou, 510515, Guangdong, China.
| | - Xiaodong Zhang
- The Third Affiliated Hospital of Southern Medical University, No.183, Zhongshan Avenue West, Tianhe District, Guangzhou, 510630, Guangdong, China.
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Xu L, Gan S, Zhong L, Sun Z, Tang Y, Han T, Lin K, Liao C, He D, Ma Y, Wang W, Niu L. Conductive metal organic framework for ion-selective membrane-free solid-contact potentiometric Cu2+ sensing. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2021.115923] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Shen J, Shan J, Liang B, Zhang D, Tang H, Zhong L, Li M. Effects of Atomoxetine Hydrochloride on Regulation of Lifespan in Drosophila Model. J Nutr Health Aging 2022; 26:203-208. [PMID: 35166316 DOI: 10.1007/s12603-022-1741-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Nootropics (smart drugs) are used by students to enhance cognitive performance which have been reported times in recent years. However, some of the nootropics are central nervous system stimulants which are very likely to lead to addiction or complications such as vomiting and dizziness. Are there nootropics that can improve learning behavior while having potential positive effect on health? Here, we reported that Atomoxetine (ATX) has sex-specific effect on prolonging the life span of female Drosophila melanogaster. Further study indicated that ATX enhanced female resistance to heat stress and their vertical climbing ability, but it did decrease the number of eggs laid. ATX increased food-intake and sleep time both of females and males, and significantly reduced the 24h spontaneous activity of females and males. Our results present the sex dimorphic effect of ATX on life span regulation in Drosophila, and support further research on the beneficial role of ATX and the mechanisms in other animal models.
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Affiliation(s)
- J Shen
- Jie Shen, Department of Biomedical Engineering, College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, China 310018,
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Liao C, Zhong L, Tang Y, Sun Z, Lin K, Xu L, Lyu Y, He D, He Y, Ma Y, Bao Y, Gan S, Niu L. Solid-Contact Potentiometric Anion Sensing Based on Classic Silver/Silver Insoluble Salts Electrodes without Ion-Selective Membrane. Membranes (Basel) 2021; 11:959. [PMID: 34940460 PMCID: PMC8707216 DOI: 10.3390/membranes11120959] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/27/2021] [Accepted: 11/28/2021] [Indexed: 12/27/2022]
Abstract
Current solid potentiometric ion sensors mostly rely on polymeric-membrane-based, solid-contact, ion-selective electrodes (SC-ISEs). However, anion sensing has been a challenge with respect to cations due to the rareness of anion ionophores. Classic metal/metal insoluble salt electrodes (such as Ag/AgCl) without an ion-selective membrane (ISM) offer an alternative. In this work, we first compared the two types of SC-ISEs of Cl- with/without the ISM. It is found that the ISM-free Ag/AgCl electrode discloses a comparable selectivity regarding organic chloride ionophores. Additionally, the electrode exhibits better comprehensive performances (stability, reproducibility, and anti-interference ability) than the ISM-based SC-ISE. In addition to Cl-, other Ag/AgX electrodes also work toward single and multi-valent anions sensing. Finally, a flexible Cl- sensor was fabricated for on-body monitoring the concentration of sweat Cl- to illustrate a proof-of-concept application in wearable anion sensors. This work re-emphasizes the ISM-free SC-ISEs for solid anion sensing.
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Affiliation(s)
- Chunxian Liao
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Lijie Zhong
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Yitian Tang
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
- School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
| | - Zhonghui Sun
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Kanglong Lin
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Longbin Xu
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
- School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
| | - Yan Lyu
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
- School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
| | - Dequan He
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Ying He
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Yingming Ma
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Yu Bao
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Shiyu Gan
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
| | - Li Niu
- Guangzhou Key Laboratory of Sensing Materials & Devices, Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China; (C.L.); (L.Z.); (Y.T.); (Z.S.); (K.L.); (L.X.); (Y.L.); (D.H.); (Y.H.); (Y.M.); (Y.B.); (L.N.)
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Shi YK, Cui J, Zhou H, Zhang X, Zou L, Liu H, Zhang H, Li X, Zhang W, Zhou F, Zhong L, Jin C, Zhang H, Peng Z, Gao Y, Cao J, Ma T. 831MO Geptanolimab in Chinese patients with relapsed or refractory primary mediastinal large B-cell lymphoma: Results from a multicenter, open-label, single-arm phase II trial. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Wang S, Zhong L, Gan S, Tang Y, Qiu S, Lyu Y, Ma Y, Niu L. Defective vs high-quality graphene for solid-contact ion-selective electrodes: Effects of capacitance and hydrophobicity. Electrochem commun 2021. [DOI: 10.1016/j.elecom.2021.107091] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
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Lyu Y, Zhang Y, Xu L, Zhong L, Sun Z, Ma Y, Bao Y, Gan S, Niu L. Solid-Contact Ion Sensing Without Using an Ion-Selective Membrane through Classic Li-Ion Battery Materials. Anal Chem 2021; 93:7588-7595. [PMID: 34008950 DOI: 10.1021/acs.analchem.0c05422] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The solid-contact ion-selective electrodes (SC-ISEs) are a type of potentiometric analytical device with features of rapid response, online analysis, and miniaturization. The state-of-the-art SC-ISEs are composed of a solid-contact (SC) layer and an ion-selective membrane (ISM) layer with respective functions of ion-to-electron transduction and ion recognition. Two challenges for the SC-ISEs are the water-layer formation at the SC/ISM phase boundary and the leaking of ISM components, which are both originated from the ISM. Herein, we report a type of SC-ISE based on classic Li-ion battery materials as the SC layer without using the ISM for potentiometric lithium-ion sensing. Both LiFePO4- and LiMn2O4-based SC-ISEs display good Li+ sensing properties (sensitivity, selectivity, and stability). The proposed LiFePO4 electrode exhibits comparable sensitivity and a linear range to conventional SC-ISEs with ISM. Owing to the nonexistence of ISM, the LiFePO4 electrode displays high potential stability. Besides, the LiMn2O4 electrode shows a Nernstian response toward Li+ sensing in a human blood serum solution. This work emphasizes the concept of non-ISM-based SC-ISEs for potentiometric ion sensing.
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Affiliation(s)
- Yan Lyu
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yirong Zhang
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Longbin Xu
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Lijie Zhong
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Zhonghui Sun
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yingming Ma
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Yu Bao
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Shiyu Gan
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
| | - Li Niu
- School of Civil Engineering, c/o Center for Advanced Analytical Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, P. R. China
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Sax PE, Erlandson KM, Lake JE, Mccomsey GA, Orkin C, Esser S, Brown TT, Rockstroh JK, Wei X, Carter CC, Zhong L, Brainard DM, Melbourne K, Das M, Stellbrink HJ, Post FA, Waters L, Koethe JR. Weight Gain Following Initiation of Antiretroviral Therapy: Risk Factors in Randomized Comparative Clinical Trials. Clin Infect Dis 2021; 71:1379-1389. [PMID: 31606734 PMCID: PMC7486849 DOI: 10.1093/cid/ciz999] [Citation(s) in RCA: 398] [Impact Index Per Article: 132.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 10/07/2019] [Indexed: 12/14/2022] Open
Abstract
Background Initiation of antiretroviral therapy (ART) often leads to weight gain. While some of this weight gain may be an appropriate return-to-health effect, excessive increases in weight may lead to obesity. We sought to explore factors associated with weight gain in several randomized comparative clinical trials of ART initiation. Methods We performed a pooled analysis of weight gain in 8 randomized controlled clinical trials of treatment-naive people living with human immunodeficiency virus (HIV) initiating ART between 2003 and 2015, comprising >5000 participants and 10 000 person-years of follow-up. We used multivariate modeling to explore relationships between demographic factors, HIV disease characteristics, and ART components and weight change following ART initiation. Results Weight gain was greater in more recent trials and with the use of newer ART regimens. Pooled analysis revealed baseline demographic factors associated with weight gain including lower CD4 cell count, higher HIV type 1 RNA, no injection drug use, female sex, and black race. Integrase strand transfer inhibitor use was associated with more weight gain than were protease inhibitors or nonnucleoside reverse transcriptase inhibitors (NNRTIs), with dolutegravir and bictegravir associated with more weight gain than elvitegravir/cobicistat. Among the NNRTIs, rilpivirine was associated with more weight gain than efavirenz. Among nucleoside/nucleotide reverse transcriptase inhibitors, tenofovir alafenamide was associated with more weight gain than tenofovir disoproxil fumarate, abacavir, or zidovudine. Conclusions Weight gain is ubiquitous in clinical trials of ART initiation and is multifactorial in nature, with demographic factors, HIV-related factors, and the composition of ART regimens as contributors. The mechanisms by which certain ART agents differentially contribute to weight gain are unknown.
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Affiliation(s)
- Paul E Sax
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Jordan E Lake
- University of Texas Health Science Center, Houston, Texas, USA
| | - Grace A Mccomsey
- University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio, USA
| | - Chloe Orkin
- Barts Health National Health Service Trust, London, United Kingdom
| | | | - Todd T Brown
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Xuelian Wei
- Gilead Sciences, Inc, Foster City, California, USA
| | | | - Lijie Zhong
- Gilead Sciences, Inc, Foster City, California, USA
| | | | | | - Moupali Das
- Gilead Sciences, Inc, Foster City, California, USA
| | | | - Frank A Post
- King's College Hospital National Health Service Foundation Trust, London, United Kingdom
| | | | - John R Koethe
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Luo X, Jiang Y, Chen F, Wei Z, Qiu Y, Xu H, Tian G, Gong W, Yuan Y, Feng H, Zhong L, Ji N, Xu X, Sun C, Li T, Li J, Feng X, Deng P, Zeng X, Zhou M, Zhou Y, Dan H, Jiang L, Chen Q. ORAOV1-B Promotes OSCC Metastasis via the NF-κB-TNFα Loop. J Dent Res 2021; 100:858-867. [PMID: 33655785 DOI: 10.1177/0022034521996339] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Metastasis, a powerful prognostic indicator of oral squamous cell carcinoma (OSCC), is chiefly responsible for poor cancer outcomes. Despite an increasing number of studies examining the mechanisms underlying poor outcomes, the development of potent strategies is hindered by insufficient characterization of the crucial regulators. Long noncoding RNAs (lncRNAs) have recently been gaining interest as significant modulators of OSCC metastasis; however, the detailed mechanisms underlying lncRNA-mediated OSCC metastasis remain relatively uncharacterized. Here, we identified a novel alternative splice variant of oral cancer overexpressed 1 (ORAOV1), named as ORAOV1-B, which was subsequently validated as an lncRNA and correlated with OSCC lymph node metastasis; significantly increased invasion and migration were observed in ORAOV1-B-overexpressing OSCC cells. RNA pulldown and mass spectrometry identified Hsp90 as a direct target of ORAOV1-B, and cDNA microarrays suggested TNFα as a potential downstream target of ORAOV1-B. ORAOV1-B was shown to directly bind to and stabilize Hsp90, which maintains the function of client proteins, receptor-interaction protein, and IκB kinase beta, thus activating the NF-κB pathway and inducing TNFα. Additionally, TNFα reciprocally enhanced p-NF-κB-p65 and the downstream epithelial-mesenchymal transition. ORAOV1-B effects were reversed by a TNFα inhibitor, demonstrating that TNFα is essential for ORAOV1-B-regulated metastatic ability. Consistent epithelial-mesenchymal transition in the ORAOV1-B group was demonstrated via an orthotopic model. In the metastatic model, ORAOV1-B significantly contributed to OSCC-related lung metastasis. In summary, the novel splice variant ORAOV1-B is an lncRNA, which significantly potentiates OSCC invasion and metastasis by binding to Hsp90 and activating the NF-κB-TNFα loop. These findings demonstrate the versatile role of ORAOV1 family members and the significance of genes located within 11q13 in promoting OSCC. ORAOV1-B might serve as an attractive OSCC metastasis intervention target.
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Affiliation(s)
- X Luo
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y Jiang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - F Chen
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- The Stomatologic Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Z Wei
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y Qiu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - H Xu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - G Tian
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - W Gong
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y Yuan
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - H Feng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- XiangYa Stomatological Hospital, Central South University, Changsha, China
| | - L Zhong
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - N Ji
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - X Xu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - C Sun
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - T Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - J Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - X Feng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - P Deng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - X Zeng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - M Zhou
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y Zhou
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - H Dan
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - L Jiang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Q Chen
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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Ho J, Kovalik J, Gao F, Zhao X, Shuang L, Teo L, Tan R, Ewe S, Wee H, Ching J, Koh W, Zhong L, Koh A. Adverse cardiovascular ageing among older women and cardiometabolic ageing. Eur Heart J Cardiovasc Imaging 2021. [DOI: 10.1093/ehjci/jeaa356.421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public hospital(s). Main funding source(s): National Medical Research Council (NMRC)
Background
Despite longer life expectancies, women may experience reduced ‘health-span’ (period of life spent in good health) due to accumulation of risks over their longer life spans. Metabolic factors present in diet and lifestyle may provide modifiable solutions to tackle burdens of cardiovascular (CV) ageing in women.
Objective
We aim to study gender differences in CV structure and function among community older adults without clinical CV disease, as well as metabolic perturbations in their study samples.
Methods
We examined a prospective cohort study of older adults, obtaining their medical history, serum sampling, echocardiography and cardiac magnetic resonance (CMR) imaging on a single day visit. Echo E/A ratio was computed as a ratio of peak velocity flow in early diastole E (m/s) to peak velocity flow in late diastole by atrial contraction A (m/s) mitral inflow velocities. Longitudinal strain (ε) at any time point (t) in the cardiac cycle from end-diastole (time 0) was calculated as: ε(t)=(L(t)-L0)/L0, obtaining left atrial (LA) reservoir strain (εs), conduit strain (εe) and booster strain (εa) by CMR. Metabolomics profiling was performed by standard mass spectrometry techniques.
Results
Among n = 492 (49.6%, n = 244 women, mean age 73 ± 4 years) participants, women had lower prevalence of hypertension (52% vs 58%, p < 0.0001), smoking (4% vs 35%, p < 0.0001), but higher prevalence of dyslipidemia (52% vs 50%, p = 0.001) compared to men. Women had lower left ventricular mass index (69 vs 71 g/m2, p < 0.0001) compared to men. However, women had more adverse CV function, such as lower E/A ratio (0.78 vs 0.85, p < 0.0001), lower LA booster (εa) (16.5 vs 17.8, p = 0.027) and lower LA reservoir (εs) strain rate (1.5 vs 1.6, p = 0.012), compared to men. Amino acids such as alanine, arginine, aspartate, citrulline, glycine, phenylalanine and valine were similar between gender. However, women had higher levels of tyrosine (76 vs 68 μM, p = 0.015). On multivariate adjustment, apart from age, tyrosine was independently associated with E/A ratio (β=0.002, 95%CI 0.00-0.004, p = 0.044) and εs (β=0.004, 95%CI 0.00-0.009, p = 0.048) among women.
Conclusion
Utilizing conventional and sensitive CV imaging, women appeared to have more adverse CV functions with ageing. As a branched chain amino acid linked to future risk of CV disease, tyrosine may be linked to adverse CV function. Factors that contribute to these cardiometabolic profiles, such as menopause, diet or lifestyle warrant further research.
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Affiliation(s)
- J Ho
- National Heart Centre Singapore, Singapore, Singapore
| | - J Kovalik
- Singapore General Hospital, Singapore, Singapore
| | - F Gao
- National Heart Centre Singapore, Singapore, Singapore
| | - X Zhao
- National Heart Centre Singapore, Singapore, Singapore
| | - L Shuang
- National Heart Centre Singapore, Singapore, Singapore
| | - L Teo
- National Heart Centre Singapore, Singapore, Singapore
| | - R Tan
- National Heart Centre Singapore, Singapore, Singapore
| | - S Ewe
- National Heart Centre Singapore, Singapore, Singapore
| | - H Wee
- Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - J Ching
- Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - W Koh
- Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - L Zhong
- Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - A Koh
- National Heart Centre Singapore, Singapore, Singapore
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Oka S, Li X, Zhang F, Taguchi C, Tewari N, Kim IS, Zhong L, Arikawa K, Liu Y, Bhawal UK. Oral toxicity to high level sodium fluoride causes impairment of autophagy. J Physiol Pharmacol 2021; 71. [PMID: 33571967 DOI: 10.26402/jpp.2020.5.14] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 10/30/2020] [Indexed: 11/03/2022]
Abstract
Autophagy is a highly conserved intracellular digestion process that degrades damaged proteins and organelles but the biological roles of autophagy in pathological aspects of oral tissues remain largely unknown. We sought to elucidate the function of autophagy, especially its interplay with apoptosis and oxidative stress, in the oral toxicity induced by exposure to 5 mM sodium fluoride (NaF). Human cementoblasts (HCEM-2) in culture were exposed to 5 mM NaF for 5 min, after which cell viability and cell apoptosis were assessed using the MTS assay and an Annexin V-FITC/PI apoptosis detection kit, respectively. Quantitative RT-PCR and Western blotting were performed to characterize the expression levels of markers for autophagy, apoptosis, and oxidative stress. Senescence-resistant (SAMR1) mice were exposed to 5 mM NaF in their drinking water from 12 to 58 weeks. Micro-computed tomography was used to measure changes in their alveolar bone while immunohistochemistry and immunofluorescence staining was used to evaluate protein expression levels. HCEM-2 cells exposed to 5 mM NaF had decreased levels of autophagy, as shown by reduced expression levels of ATG5, Beclin-1 and LC3-II, elicited apoptosis, which in turn induced oxidative stress and inflammation, as manifested by elevated levels of Bax, cleaved caspase-3, SOD1 and phospho NF-κB. Treatment of mice with 5 mM NaF resulted in histological abnormalities in periodontal tissues, induced excessive oxidative stress and apoptosis, and reduced autophagy. Micro-computed tomography analysis demonstrated that 5 mM NaF caused a decrease in bone areas of mice compared with controls. Exposure to 5 mM NaF induced RANKL (receptor activator of nuclear factor κB ligand) and cathepsin K expression in periodontal tissues, while ATG5 and Beclin-1 expression was abrogated by 5 mM NaF. Taken together, our findings suggest that 5 mM NaF elicits oral toxicity that contributes to excessive apoptosis, oxidative stress, and defective autophagy, which aggravates periodontal tissue damage.
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Affiliation(s)
- S Oka
- Department of Anesthesiology, Nihon University School of Dentistry, Tokyo, Japan.,Division of Immunology and Pathology, Dental Research Center, Nihon University School of Dentistry, Tokyo, Japan
| | - X Li
- Laboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Capital Medical University School of Stomatology, Beijing, P.R. China. .,Department of Anesthesiology, Nihon University School of Dentistry at Matsudo, Chiba, Japan
| | - F Zhang
- Department of Anesthesiology, Nihon University School of Dentistry at Matsudo, Chiba, Japan
| | - C Taguchi
- Department of Oral Health, Nihon University School of Dentistry at Matsudo, Chiba, Japan
| | - N Tewari
- Division of Pedodontics and Preventive Dentistry, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India
| | - I-S Kim
- Department of Dental Hygiene, Honam University, Gwangju, Republic of Korea
| | - L Zhong
- Department of Stomatology, Hangzhou Normal University, Hangzhou, P.R. China
| | - K Arikawa
- Department of Oral Health, Nihon University School of Dentistry at Matsudo, Chiba, Japan
| | - Y Liu
- Laboratory of Tissue Regeneration and Immunology and Department of Periodontics, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Capital Medical University School of Stomatology, Beijing, P.R. China
| | - U K Bhawal
- Department of Biochemistry and Molecular Biology, Nihon University School of Dentistry at Matsudo, Chiba, Japan.
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Li FL, Zhong L, Wen W, Tian TT, Li HC, Cheung SG, Wong YS, Shin PKS, Zhou HC, Tam NFY, Song X. Do distribution and expansion of exotic invasive Asteraceae plants relate to leaf construction cost in a man-made wetland? Mar Pollut Bull 2021; 163:111958. [PMID: 33444997 DOI: 10.1016/j.marpolbul.2020.111958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 12/13/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
Exotic species especially Asteraceae plants severely invade wetlands in Shenzhen Bay, an important part of the coast wetland in Guangdong-Hong Kong-Macau Bay Area, China. However, the reasons causing their expansion are unclear. The leaf traits and expansion indices of six invasive Asteraceae plants from the Overseas Chinese Town (OCT) wetland were studied and the results showed that nearly 45% of the total plant species (31 out of 69 species) in the OCT wetland, belonging to 15 families and 27 genera, were exotic invasive species. The expansion indices of six Asteraceae species negatively correlated with their leaf construction cost based on mass (CCM), caloric values and carbon concentration, but their relations with ash content were positive. Multiple linear regression analysis revealed that CCM was the most important factor affecting the expansion of an exotic species, indicating CCM may be an important reason causing the expansion of exotic species in coastal wetlands.
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Affiliation(s)
- F L Li
- College of Life Sciences and Oceanography, Shenzhen Key Laboratory of Marine Bio-resource and Eco-environmental Science, Shenzhen University, Shenzhen, China; Futian-CityU Mangrove Research and Development Centre, City University of Hong Kong, Hong Kong, China
| | - L Zhong
- College of Life Sciences and Oceanography, Shenzhen Key Laboratory of Marine Bio-resource and Eco-environmental Science, Shenzhen University, Shenzhen, China
| | - W Wen
- College of Life Sciences and Oceanography, Shenzhen Key Laboratory of Marine Bio-resource and Eco-environmental Science, Shenzhen University, Shenzhen, China
| | - T T Tian
- Futian-CityU Mangrove Research and Development Centre, City University of Hong Kong, Hong Kong, China; Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangdong Academy of Sciences, Guangzhou, China
| | - H C Li
- College of Life Sciences and Oceanography, Shenzhen Key Laboratory of Marine Bio-resource and Eco-environmental Science, Shenzhen University, Shenzhen, China
| | - S G Cheung
- Futian-CityU Mangrove Research and Development Centre, City University of Hong Kong, Hong Kong, China; Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, China
| | - Y S Wong
- Futian-CityU Mangrove Research and Development Centre, City University of Hong Kong, Hong Kong, China; School of Science and Technology, Open University of Hong Kong, Hong Kong, China
| | - P K S Shin
- Futian-CityU Mangrove Research and Development Centre, City University of Hong Kong, Hong Kong, China; Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, China
| | - H C Zhou
- College of Life Sciences and Oceanography, Shenzhen Key Laboratory of Marine Bio-resource and Eco-environmental Science, Shenzhen University, Shenzhen, China; Futian-CityU Mangrove Research and Development Centre, City University of Hong Kong, Hong Kong, China
| | - N F Y Tam
- Futian-CityU Mangrove Research and Development Centre, City University of Hong Kong, Hong Kong, China; Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, China.
| | - X Song
- College of Life Sciences and Oceanography, Shenzhen Key Laboratory of Marine Bio-resource and Eco-environmental Science, Shenzhen University, Shenzhen, China.
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Mojumder J, Choy J, Leng S, Zhong L, Kassab G, Lee L. Mechanical stimuli for left ventricular growth during pressure overload. Exp Mech 2021; 61:131-146. [PMID: 33746236 PMCID: PMC7968380 DOI: 10.1007/s11340-020-00643-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 07/21/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND The mechanical stimulus (i.e. stress or stretch) for growth occurring in the pressure-overloaded left ventricle (LV) is not exactly known. OBJECTIVE To address this issue, we investigate the correlation between local ventricular growth (indexed by local wall thickness) and the local acute changes in mechanical stimuli after aortic banding. METHODS LV geometric data were extracted from 3D echo measurements at baseline and 2 weeks in the aortic banding swine model (n = 4). We developed and calibrated animal-specific finite element (FE) model of LV mechanics against pressure and volume waveforms measured at baseline. After the simulation of the acute effects of pressure-overload, the local changes of maximum, mean and minimum myocardial stretches and stresses in three orthogonal material directions (i.e., fiber, sheet and sheet-normal) over a cardiac cycle were quantified. Correlation between mechanical quantities and the corresponding measured local changes in wall thickness was quantified using the Pearson correlation number (PCN) and Spearman rank correlation number (SCN). RESULTS At 2 weeks after banding, the average septum thickness decreased from 10.6 ± 2.92mm to 9.49 ± 2.02mm, whereas the LV free-wall thickness increased from 8.69 ± 1.64mm to 9.4 ± 1.22mm. The FE results show strong correlation of growth with the changes in maximum fiber stress (PCN = 0.5471, SCN = 0.5111) and changes in the mean sheet-normal stress (PCN= 0.5266, SCN = 0.5256). Myocardial stretches, however, do not have good correlation with growth. CONCLUSION These results suggest that fiber stress is the mechanical stimuli for LV growth in pressure-overload.
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Affiliation(s)
- J. Mojumder
- Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA
| | - J.S. Choy
- California Medical Innovations Institute, San Diego, CA, USA
| | - S. Leng
- National Heart Centre Singapore, Singapore
| | - L. Zhong
- National Heart Centre Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore
| | - G.S. Kassab
- California Medical Innovations Institute, San Diego, CA, USA
| | - L.C. Lee
- Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA
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Zhong L, Zhao J, Zhao X, Xie W, Bai Y. PATH01.03 Mutational Landscape and Prognosis Prediction for Immune Checkpoint Blockades of DNA Damage Response Pathways in Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2020.10.077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Marty FM, Malhotra P, Gottlieb RL, Tashima KT, Galli M, Chai LYA, SenGupta D, Hyland RH, Wang H, Zhong L, Cao H, Chokkalingam A, Osinusi A, Brainard DM, Brown M, Goikoetxea AJ, Jain M, Hui DSC, Bernasconi E, Spinner C. 72. Remdesivir vs Standard Care in Patients with Moderate covid-19. Open Forum Infect Dis 2020. [PMCID: PMC7777983 DOI: 10.1093/ofid/ofaa439.382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background Remdesivir (RDV) shortens time to recovery time in patients with severe COVID-19. Its effect in patients with moderate COVID-19 remains unclear. Methods We conducted an open-label, phase 3 trial (NCT04252664) involving hospitalized patients with confirmed SARS-CoV-2 infection, evidence of pulmonary infiltrates, and oxygen saturation >94% on room air. Patients were randomly assigned 1:1:1 to receive up to 5d or 10d of RDV with standard of care (SoC), or SoC alone; patients could be discharged prior to completing per-protocol assigned treatment duration. RDV was dosed intravenously at 200 mg on d1, 100 mg daily thereafter. Patients were evaluated daily while hospitalized, and via telephone if discharged. The primary endpoint was clinical status on d11 assessed on a 7-point ordinal scale. Results regarding the primary endpoint are expected to be published before IDWeek 2020; we plan to present d28 results at the meeting. Results In total, 584 patients underwent randomization and started their assigned treatment (191, 5d RDV; 193, 10d RDV; 200, SoC). By d11, ³ 2 point improvement on the ordinal scale occurred in 70% of patients in the 5d arm, 65% in the 10d arm, and 61% in the SoC arm. Patients in the 5d RDV arm were significantly more likely to have an improvement in clinical status than those receiving SoC (odds ratio [OR], 1.65; 95% confidence interval [CI], 1.09–2.48; P=0.017); OR of improvement for the 10d RDV arm compared to SoC was 1.31 (95% CI, 0.88–1.95]; p=0.183). This improvement in the 5-day arm over the SOC arm was noted from d6 through d11. We observed a peak of discharges corresponding with the assigned treatment duration of RDV, with increased discharges at d6 in the 5-day arm and at d11 in the 10-day arm. A worsening of clinical status of ≥ 1 point in the ordinal scale was observed more commonly in the SoC am (n=19, 10%) versus the 5d RDV (n=7, 4%) and 10d RDV (n=9, 5%). Conclusion RDV for up to 5 days was superior to SoC in improving the clinical status of patients with moderate COVID-19 by d11. We will report d28 outcomes at the meeting. Disclosures Francisco M. Marty, MD, Allovir (Consultant)Amplyx (Consultant)Ansun (Scientific Research Study Investigator)Avir (Consultant)Cidara (Scientific Research Study Investigator)F2G (Consultant, Scientific Research Study Investigator)Kyorin (Consultant)Merck (Consultant, Grant/Research Support, Scientific Research Study Investigator)New England Journal of Medicine (Other Financial or Material Support, Honorarium for Video)Regeneron (Consultant, Scientific Research Study Investigator)ReViral (Consultant)Scynexis (Scientific Research Study Investigator)Symbio (Consultant)Takeda (Scientific Research Study Investigator)United Medical (Consultant)WHISCON (Scientific Research Study Investigator) Prashant Malhotra, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Robert L. Gottlieb, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Karen T. Tashima, MD, Bristol-Myers Squibb (Research Grant or Support)Gilead Sciences Inc. (Grant/Research Support, Scientific Research Study Investigator)GlaxoSmithKline (Research Grant or Support)Merck (Research Grant or Support)Tibotec (Research Grant or Support)Viiv Healthcare (Research Grant or Support) Massimo Galli, MD, Gilead Sciences Inc. (Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member, Other Financial or Material Support, Personal fees) Louis Yi Ann Chai, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Devi SenGupta, MD, Gilead Sciences Inc. (Employee, Shareholder) Robert H. Hyland, MD, Gilead Sciences Inc. (Employee, Shareholder) Hongyuan Wang, PhD, Gilead Sciences Inc. (Employee, Shareholder) Lijie Zhong, PhD, Gilead Sciences Inc. (Employee, Shareholder) Huyen Cao, MD, Gilead Sciences Inc. (Employee, Shareholder) Anand Chokkalingam, PhD, Gilead Sciences (Employee) Anu Osinusi, MD, Gilead Sciences (Employee) Diana M. Brainard, MD, Gilead Sciences (Employee) Michael Brown, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Ane Josune Goikoetxea, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Mamta Jain, MD, Gilead Sciences Inc. (Scientific Research Study Investigator, Research Grant or Support)GlaxoSmithKline (Advisor or Review Panel member)Janssen (Research Grant or Support)Merck (Research Grant or Support) David Shu Cheong Hui, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Enos Bernasconi, MD, Gilead Sciences Inc. (Scientific Research Study Investigator) Christoph Spinner, MD, AbbVie (Advisor or Review Panel member, Other Financial or Material Support, Travel)Bristol-Myers Squibb (Grant/Research Support, Advisor or Review Panel member, Other Financial or Material Support, Travel)Gilead Sciences Inc. (Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member, Other Financial or Material Support, Travel)Janssen (Grant/Research Support, Advisor or Review Panel member, Other Financial or Material Support, Travel)MSD (Grant/Research Support, Advisor or Review Panel member, Other Financial or Material Support, Travel)Viiv Healthcare (Grant/Research Support, Advisor or Review Panel member, Other Financial or Material Support, Travel)
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Affiliation(s)
| | | | | | | | - Massimo Galli
- Dipartimento di Malattie Infettive, Malattie Infettive I- Malattie Infettive III, ASST Fatebenfratelli Sacco Ospedale Luigi Sacco, Milano, Lombardia, Italy
| | - Louis Yi Ann Chai
- National University Hospital, National University Health System, Singapore, Not Applicable, Singapore
| | | | | | | | | | - Huyen Cao
- Gilead Sciences Inc., Foster City, California
| | | | | | | | - Michael Brown
- University College Hospital, London, England, United Kingdom
| | | | | | | | - Enos Bernasconi
- Servizio Malattie infettive, Ente Ospedaliero Cantonale, Ospedale, Ticino, Luzern, Switzerland
| | - Christoph Spinner
- Department of Medicine II, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany, Munich, Bayern, Germany
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Glidden DV, Dunn DT, Das M, Ebrahimi R, Zhong L, Stirrup OT, Anderson PL. 999. Using the F/TDF Adherence-Efficacy Relationship to Calculate Background HIV incidence: Results from the DISCOVER trial. Open Forum Infect Dis 2020. [PMCID: PMC7776424 DOI: 10.1093/ofid/ofaa439.1185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background RRandomized trials of new PrEP agents compare to oral emtricitabine+tenofovir disoproxil fumarate (F/TDF) and do not have a placebo arm. We used the well-characterized adherence-efficacy relationship for F/TDF from iPrEX OLE, to back-calculate the (non-PrEP) background HIV incidence (bHIV) in the F/TDF arm of DISCOVER and estimate comparative efficacy (to bHIV). Methods TDISCOVER is an ongoing randomized active-controlled trial in 5,387 men who have sex with men and transgender women that demonstrated non-inferiority of F+tenofovir alafenamide (F/TAF) to F/TDF (IRR 0.47 (95% CI 0.19, 1.15). TFV-DP levels in DBS were assessed for all diagnosed with HIV and in a randomized subset of 10%. We used a Bayesian model with a prior distribution, derived from iPrEx OLE, relating TFV-DP levels to HIV prevention efficacy: eg TFV-DP levels of < 350 (low), 350 to < 700 (medium) and ≥700 (high) fmol/punch were assumed to provide 0%, 86% and 98% HIV protection, respectively. This prior, combined with F/TDF seroconversion rate and TFV-DP levels, yields Bayesian inferences on the bHIV. In R, STAN was used to sample 10,000 realizations from the posterior distribution. Results There were 6 vs. 11 post-baseline HIV infections (0.14 v. 0.25 per 100 person-years [PY]) on F/TAF and F/TDF. Of the 11 on F/TDF, 10 had low, 0 had medium, and 1 had high TFV-DP levels; among HIV-negative controls, 5% of the person-time had low, 9% had medium, and 86% had high TFV-DP levels. A non-informative prior distribution for bHIV, combined with the prior for TFV-DP level-efficacy relationship, yielded a posterior bHIV incidence [0.80 Bayesian credible interval (CrI)] of 3.4/100 [1.9, 6.0/100] PY; which suggests a median F/TAF efficacy [0.95 CrI] of 96% [88%,99%] and 93% [87%,96%] for F/TDF compared to bHIV. If we chose a conservative prior distribution for bHIV of 1.0/100 PY, the model yields a median posterior bHIV [0.80 CrI] of 2.8/100 [1.7, 4.7/100] PY; which suggests a median efficacy [0.95 Cr] of 95% [86%, 99%] for F/TAF and 92% [86%, 67%] for F/TDF compared to bHIV with corresponding number of HIV infections averted of 117 and 114, respectively (Figure). Figure. ![]()
Conclusion The F/TDF adherence-efficacy relationship can be used to back-calculate bHIV incidence in MSM/TW PrEP trials and assess the efficacy of new PrEP agents compared to bHIV. Disclosures David V. Glidden, MD, Gilead Sciences Inc. (Other Financial or Material Support, Personal fees) David T. Dunn, MD, Gilead Sciences Inc. (Other Financial or Material Support, Personal fees)Viiv Healthcare (Other Financial or Material Support, Personal fees) Moupali Das, MD, Gilead Sciences Inc. (Employee, Shareholder) Ramin Ebrahimi, MSc, Gilead Sciences Inc. (Employee, Shareholder) Lijie Zhong, PhD, Gilead Sciences Inc. (Employee, Shareholder) Oliver T. Stirrup, MD, Gilead Sciences Inc. (Other Financial or Material Support, Personal fees) Peter L. Anderson, PharmD, Gilead Sciences Inc. (Other Financial or Material Support, Personal fees)
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Affiliation(s)
- David V Glidden
- University of California, San Francisco, San Francisco, California
| | - David T Dunn
- Institute for Global Health - University College London, London, England, United Kingdom
| | | | | | | | - Oliver T Stirrup
- MRC Clinical Trials Unit at UCL, University College London, London, England, United Kingdom
| | - Peter L Anderson
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado
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Zhong L, Xu KS, Deng L. [Study on the state of macrophage infiltration in the progression of non-alcoholic fatty liver disease induced by high-fat diet in mice]. Zhonghua Gan Zang Bing Za Zhi 2020; 28:1042-1047. [PMID: 34865353 DOI: 10.3760/cma.j.cn501113-20190712-00244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease. Macrophages are an important cell-mediated immune response in the pathogenesis of NAFLD. However, the dynamic changes of intrahepatic infiltration during the pathogenesis of NAFLD remains unclear. Therefore, this study intends to investigate the changes and their correlations with morphological indicators, hepatic histopathological index, and intrahepatic macrophage infiltration in the progression of NAFLD induced by high-fat diet in mice. Methods: C57BL/6J mice were fed with 42% high-fat diet, and the morphological data and liver tissue were obtained at 1, 2, 4, 8 and 12 months, respectively. Hepatic histopathological characteristics were evaluated by HE stain. Immunohistochemical staining was used to detect the number of F4/80 positive cells in liver tissue at different stages to evaluate the degree of intrahepatic macrophage infiltration. Results: (1) The body weight, liver weight, and liver weight/body weight of mice fed with high-fat diet had gradually increased. (2) HE staining results showed that mice fed with high-fat diet had mainly developed simple steatosis within 1 to 2 months. In addition, a balloon-like hepatocyte degeneration and intralobular inflammation had begun to appear at 4 months, indicating that non-alcoholic steatohepatitis had started, and can be seen very clearly at 8 to 12 months. (3) Immunohistochemical staining results suggested that in the simple steatosis stage of NAFLD, the intrahepatic macrophage infiltration was not significant. However, after NAFLD activity score > 3, a large amount of infiltration had appeared and cluster-like changes in the later stage. (4) Correlation analysis results indicated that the degree of macrophage infiltration was not related to the mice morphological indicators (body weight, liver weight and liver weight/body weight) and pathological indicators (percentage of hepatic steatotic change, and degree of hepatocyte ballooning and intralobular inflammation), but was significantly related to the NAFLD activity score. Conclusion: High-fat diet can successfully induce NAFLD in mice and progress to the stage of non-alcoholic steatohepatitis. At the same time, high-fat diet can induce macrophage infiltration in liver tissue of mice and the changing trend of infiltration is related to NAFLD activity score.
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Affiliation(s)
- L Zhong
- Department of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - K S Xu
- Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
| | - L Deng
- Department of Gastroenterology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
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48
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Chen Y, Zhong L, Yang ZR, Ru GQ, He XL, Teng XD, Zhao M. [Atypical renal cysts: a clinicopathological and molecular analysis of six cases]. Zhonghua Bing Li Xue Za Zhi 2020; 49:1249-1254. [PMID: 33287508 DOI: 10.3760/cma.j.cn112151-20200324-00250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the clinicopathological characteristics and molecular genetics of atypical renal cysts. Methods: Six cases of atypical renal cysts were collected from Zhejiang Provincial People's Hospital, Hangzhou, China, between February 2014 and February 2019. The clinicopathological characteristics and disease progression were analyzed. The 3p deletion and trisomy of chromosomes 7 and 17 were detected using fluorescence in situ hybridization (FISH). Results: All of the 6 patients were male, aged 43-63 years (median: 52 years). Preoperative Bosniak classification showed 4 cases of grade Ⅱ, 1 case of grade Ⅰ and 1 of grade Ⅲ. Histologically, atypical renal cysts appeared as unilocular or multilocular cysts, lined by multilayered flattened or cuboidal-shaped clear or eosinophilic cells. They often showed short papillary projections, and lacked solid or nodular growth of the lesional cells within the wall or septa of the cysts. Histologically, these cysts could be classified into three categories: acquired cystic disease-associated renal cell carcinoma (ACKD-RCC)-like (3 cases), clear cell type (2 cases), and eosinophilic papillary type (1 case). Two cases of ACKD-RCC-like atypical renal cysts were accompanied by clear cell renal cell carcinomas. On immunohistochemical staining, ACKD-RCC-like atypical renal cysts were focally CK7+/AMACR+/CD57+, the clear-cell type atypical renal cysts were CK7+/CAⅨ+, and eosinophilic papillary type atypical renal cysts were CK7+/AMACR+. FISH analyses showed that one case of ACKD-RCC-like atypical renal cysts had trisomy 17 and one case of clear cell type had 3p deletion, while no signal abnormality was detected in the other cases. The six patients were followed up for 13 to 70 months (median: 27 months), and no evidence of renal cell carcinoma was noted. Conclusion: Atypical renal cysts are a group of lesions that are heterogeneous in clinical, histological and immunophenotypical and molecular genetic features. FISH analyses suggest that a subset of the cases may be precursors of currently known renal cell carcinomas. Extensively sampling and careful observation of the histological characteristics of the cyst wall are important for distinguishing atypical renal cysts from extensively cystic renal cell carcinomas.
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Affiliation(s)
- Y Chen
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - L Zhong
- Department of Pathology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Z R Yang
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - G Q Ru
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - X L He
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - X D Teng
- Department of Pathology, the First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - M Zhao
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
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Mao QQ, Chen JJ, Xu WJ, Zhao XZ, Sun X, Zhong L. miR-92a-3p promotes the proliferation and invasion of gastric cancer cells by targeting KLF2. J BIOL REG HOMEOS AG 2020; 34:1333-1341. [PMID: 32907305 DOI: 10.23812/20-209-a] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
MicroRNAs (miRNAs) have pivotal roles in the initiation and progression of gastric cancer (GC), and miR-92a-3p has been proved to act as an oncogene in multiple malignancies. However, the molecular mechanisms by which miR-92a-3p contributes to GC remain unclear. The differentially expressed miRNAs were screened by GEO dataset, and the association of miR-92a-3p expression with clinicopathological characteristics and prognosis in patients with GC was analyzed by TCGA dataset. The target genes of miR-92a-3p were identified by bioinformatic analysis, and their interaction was confirmed by luciferase reporter assay. MTT, EdU and Transwell assays were conducted to determine the role of miR-92a-3p in GC cells. As a result, it was found that the expression levels of miR-92a-3p were increased in GC tissues and were associated with tumor size, lymph node infiltration and distant metastasis, acting as an independent prognostic factor of poor survival in patients with GC. Restored expression of miR-92a-3p facilitated cell proliferation, DNA synthesis and cell invasion, but its inhibitor reversed these effects. KLF2 was further identified as a direct target of miR-92a-3p, indicating a negative correlation with miR-92a-3p expression and harboring a favorable prognosis in GC. In addition, KLF2 repressed cell proliferation and invasion and attenuated the tumor-promoting effects of miR-92a-3p in GC cells. Altogether, our findings demonstrated that miR-92a-3p promoted the proliferation and invasion of GC cells by targeting KLF2.
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Affiliation(s)
- Q Q Mao
- Department of Gastroenterology, North Hospital of Huashan Hospital Affiliated to Fudan University, Shanghai, China
| | - J J Chen
- Department of Gastroenterology, North Hospital of Huashan Hospital Affiliated to Fudan University, Shanghai, China
| | - W J Xu
- Department of Gastroenterology, North Hospital of Huashan Hospital Affiliated to Fudan University, Shanghai, China
| | - X Z Zhao
- Department of Gastroenterology, North Hospital of Huashan Hospital Affiliated to Fudan University, Shanghai, China
| | - X Sun
- Department of Gastroenterology, North Hospital of Huashan Hospital Affiliated to Fudan University, Shanghai, China
| | - L Zhong
- Department of Gastroenterology, North Hospital of Huashan Hospital Affiliated to Fudan University, Shanghai, China
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50
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Koh A, Gao G, Chow V, Chew H, Ewe E, Teo L, Keng B, Tan R, Leng L, Zhao X, Zhong L, Tan H, Kovalik J, Koh W. Repurposing glycated hemoglobin as a possible marker of myocardial ageing in asymptomatic older adults. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The adverse consequences of diabetes mellitus on cardiovascular health is well-established. However, few studies have studied the impact of diabetes on ageing. In our previous investigations, we identified distinct patterns of myocardial ageing among older adults otherwise asymptomatic for clinical cardiovascular disease. In this analysis, we hypothesize that glycated hemoglobin (HbA1c) may be differentially associated with these distinct signatures of myocardial ageing, thereby providing greater precision towards future preventative trials.
Methods
We performed extensive cardiovascular examinations on a cohort of asymptomatic aged community adults. Transthoracic echocardiography measured left ventricular structure and function. LV filling pressure was measured as the ratio between early mitral inflow velocity and mitral annular early diastolic velocity. Longitudinal left atrial (LA) strain comprising reservoir strain (ɛs), conduit strain (ɛe) and booster strain (ɛa) and their corresponding peak strain rates (SRs, SRe, SRa) were measured using cardiac magnetic resonance (CMR) feature tracking technique. Blood sampling for biomarkers were performed simultaneously with cardiovascular examinations.
Results
Among n=515 community adults in sinus rhythm and without cardiovascular disease [mean age 73±4 years, 255 (50%) females], 116 (23%) had diabetes. Age (73 vs 73 years) and heart rate (72 vs 75 beats per minute) were similar between diabetic and non-diabetic older adults. Diabetic older adults are mostly male (59% vs 48%, p=0.046), had larger body mass indices (24 vs 23 kg/m2, p=0.027), and greater burdens of hypertension (81% vs 41%, p<0.0001) and dyslipidemia (79% vs 43%, p<0.0001), compared to non-diabetic older adults. Diabetics had worse LV myocardial relaxation [(ratio of peak velocity flow in early diastole E (m/s) to peak velocity flow in late diastole by atrial contraction A (m/s), 0.8±0.2 vs 0.9±0.3, p=0.031), worse LV filling pressures (10.9±3.1 vs 10.1±3.3, p=0.022), reductions in LA global strain (−33±17 vs −28±9.7, p=0.016), LA conduit strain ɛe (12±4.3 vs 14±4.1, p=0.045), increases in SRe (−1.2±0.4 vs −1.3±0.5, p=0.042) and reductions in SRe: SRa ratio (0.5±0.2 vs 0.7±0.3, p=0.0059) compared to non-diabetics. Based on multivariate analysis, HbA1c was independently associated with LV myocardial relaxation (β=−0.08 (−0.1, −0.03), p=0.002), LA conduit strain (β=−0.9, (−1.6, −0.1), p=0.025), LA conduit strain rate (β=0.1, (0.04, 0.2), p=0.005), strongly associated with LA global strain (β=3.0, (0.9, 5.1), p=0.006), but not associated with LV filling pressure (β=0.5 (−0.04, 1.0), p=NS).
Conclusion
Our detailed examinations revealed distinct associations between glycated hemoglobin and myocardial functions that additionally varied in magnitude. As a contemporary biomarker, glycated hemoglobin may be useful for stratifying risks associated with myocardial ageing, particularly in ageing-related left atrial myopathies.
Funding Acknowledgement
Type of funding source: Public Institution(s). Main funding source(s): National Medical Research Council of Singapore; Singhealth Foundation
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Affiliation(s)
- A Koh
- National Heart Centre Singapore; Duke-NUS Medical School, Singapore, Singapore
| | - G.F Gao
- National Heart Centre Singapore; Duke-NUS Medical School, Singapore, Singapore
| | - V.C Chow
- NATIONAL HEART CENTRE, Singapore, Singapore
| | - H.C Chew
- NATIONAL HEART CENTRE, Singapore, Singapore
| | - E.S.H Ewe
- National Heart Centre Singapore; Duke-NUS Medical School, Singapore, Singapore
| | - L.T Teo
- National Heart Centre Singapore; Duke-NUS Medical School, Singapore, Singapore
| | - B.M.H Keng
- NATIONAL HEART CENTRE, Singapore, Singapore
| | - R.S Tan
- National Heart Centre Singapore; Duke-NUS Medical School, Singapore, Singapore
| | - L.S Leng
- NATIONAL HEART CENTRE, Singapore, Singapore
| | - X.D Zhao
- NATIONAL HEART CENTRE, Singapore, Singapore
| | - L Zhong
- National Heart Centre Singapore; Duke-NUS Medical School, Singapore, Singapore
| | - H.C Tan
- Singapore General Hospital, Singapore, Singapore
| | - J.P Kovalik
- Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - W.P Koh
- Duke-NUS Graduate Medical School Singapore, Saw Swee Hock School of Public Health, NUS, Singapore, Singapore
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