1
|
Fan M, Wu Y, Cao Z, Song W, Sartoretti G, Liu H, Wu G. Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. IEEE Trans Neural Netw Learn Syst 2024; PP:1-13. [PMID: 38517723 DOI: 10.1109/tnnls.2024.3371706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
Existing neural heuristics for multiobjective vehicle routing problems (MOVRPs) are primarily conditioned on instance context, which failed to appropriately exploit preference and problem size, thus holding back the performance. To thoroughly unleash the potential, we propose a novel conditional neural heuristic (CNH) that fully leverages the instance context, preference, and size with an encoder-decoder structured policy network. Particularly, in our CNH, we design a dual-attention-based encoder to relate preferences and instance contexts, so as to better capture their joint effect on approximating the exact Pareto front (PF). We also design a size-aware decoder based on the sinusoidal encoding to explicitly incorporate the problem size into the embedding, so that a single trained model could better solve instances of various scales. Besides, we customize the REINFORCE algorithm to train the neural heuristic by leveraging stochastic preferences (SPs), which further enhances the training performance. Extensive experimental results on random and benchmark instances reveal that our CNH could achieve favorable approximation to the whole PF with higher hypervolume (HV) and lower optimality gap (Gap) than those of the existing neural and conventional heuristics. More importantly, a single trained model of our CNH can outperform other neural heuristics that are exclusively trained on each size. In addition, the effectiveness of the key designs is also verified through ablation studies.
Collapse
|
2
|
Zheng X, Li J, Lü G, Li X, Lü X, Wu G, Xu L. Machine learning-assisted serum SERS strategy for rapid and non-invasive screening of early cystic echinococcosis. J Biophotonics 2024; 17:e202300376. [PMID: 38163898 DOI: 10.1002/jbio.202300376] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 12/11/2023] [Accepted: 12/17/2023] [Indexed: 01/03/2024]
Abstract
Early and accurate diagnosis of cystic echinococcosis (CE) with existing technologies is still challenging. Herein, we proposed a novel strategy based on the combination of label-free serum surface-enhanced Raman scattering (SERS) spectroscopy and machine learning for rapid and non-invasive diagnosis of early-stage CE. Specifically, by establishing early- and middle-stage mouse models, the corresponding CE-infected and normal control serum samples were collected, and silver nanoparticles (AgNPs) were utilized as the substrate to obtain SERS spectra. The early- and middle-stage discriminant models were developed using a support vector machine, with diagnostic accuracies of 91.7% and 95.7%, respectively. Furthermore, by analyzing the serum SERS spectra, some biomarkers that may be related to early CE were found, including purine metabolites and protein-related amide bands, which was consistent with other biochemical studies. Thus, our findings indicate that label-free serum SERS analysis is a potential early-stage CE detection method that is promising for clinical translation.
Collapse
Affiliation(s)
- Xiangxiang Zheng
- Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China
| | - Jintian Li
- School of Public Healthy, Xinjiang Medical University, Urumqi, China
| | - Guodong Lü
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiaojing Li
- Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China
| | - Xiaoyi Lü
- School of Software, Xinjiang University, Urumqi, China
| | - Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
| | - Liang Xu
- Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China
| |
Collapse
|
3
|
Hu WJ, Wang ZH, Wu G, Guo XN, Dong CX, Kang H, Liu QY, Yuan JJ, Yang X. [Analysis of ultrasound images features and diagnostic model establishment of alveolar soft part sarcoma and intramuscular capillary-type hemangiomas]. Zhonghua Yi Xue Za Zhi 2024; 104:608-613. [PMID: 38389238 DOI: 10.3760/cma.j.cn112137-20230728-00112] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Objective: The ultrasonography features of alveolar soft part sarcoma (ASPS) and intramuscular capillary-type hemangiomas (ICTH) were analyzed, and the diagnostic model of ASPS was established. Methods: A cross-sectional study was carried out. The clinical data of 52 patients [28 males and 24 females, aged (20.7±15.1) years] with pathologically confirmed ASPS and ICTH admitted to People's Hospital of Henan Province from January 2005 to February 2023 were included in the study. According to pathological types, the patients were divided into ASPS group and ICTH group. Clinical data of patients were retrospectively collected, and meaningful indicators in the univariate analysis were included in the regression analysis for screening. After comprehensive consideration of clinical significance and statistical significance, eligible indicators were selected for inclusion in the regression analysis. Binary logistic regression analysis was used to screen the factors that distinguished the pathological types of ASPS and ICTH, and the diagnostic model was established. The area under receiver operating characteristic (ROC) curve (AUC) was used to evaluate the diagnostic effectiveness of the diagnostic model in distinguishing ASPS from ICTH. Results: There were 20 patients in ASPS group, 10 males and 10 females, aged (26.9±13.5) years, and 32 patients in ICTH group, 18 males and 14 females, aged (16.8±15.0) years. The age difference between the ASPS group and the ICTH group was statistically significant (P<0.05), and there were statistically significant differences in the ultrasound imaging features of "clear boundary" "peripheral lobe" "thin blood vessels inside the lesion are straight and out of shape" "intra-lesion liquification" "peripheral thick blood vessels" and "peripheral muscle fiber disruption" between the two groups (all P<0.001).Variables with clinical and statistical significance were selected as independent variables. Binary logistic regression analysis showed that peripheral muscle fiber interruption (OR=97.358, 95%CI:6.833-1 387.249) and internal thin blood vessels were flat and out of shape (OR=0.052, 95%CI:0.003-0.921) was the correlation factor to distinguish the pathological types of ASPS and ICTH. Two ultrasonic image features of "peripheral muscle fiber interruption" and "internal thin blood vessels are straight and out of shape" were used to establish the diagnostic model. The sensitivity of "peripheral muscle fiber interruption" diagnostic model was 81.3%, and the specificity was 95.0%. The AUC was 0.811(95%CI: 0.761-0.954). The sensitivity, specificity and AUC of the diagnosis model of "internal thin vessels with flat misshape" were 90.0%, 96.9% and 0.934(95%CI: 0.830-0.984). The sensitivity, specificity and AUC of the combined diagnosis model of "peripheral muscle fiber interruption" and "internal thin blood vessel straight out of shape" were 96.9%, 90.0% and 0.974(95%CI:0.877-0.999). Conclusion: Ultrasonography can be used to distinguish ASPS from ICTH, and the combined diagnostic model based on the two ultrasonic imaging features of "peripheral muscle fiber interruption" and "internal thin blood vessel straight out of shape" can further improve the diagnostic efficiency.
Collapse
Affiliation(s)
- W J Hu
- Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital,Zhengzhou 450003,China
| | - Z H Wang
- Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital,Zhengzhou 450003,China
| | - G Wu
- Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital,Zhengzhou 450003,China
| | - X N Guo
- Department of Hemangioma,Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou 450003,China
| | - C X Dong
- Department of Hemangioma,Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou 450003,China
| | - H Kang
- Department of Pathology,Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital,Zhengzhou 450003,China
| | - Q Y Liu
- Department of Pathology,Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital,Zhengzhou 450003,China
| | - J J Yuan
- Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital,Zhengzhou 450003,China
| | - X Yang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing 100730, China
| |
Collapse
|
4
|
Liu CP, Chen Z, Wu G, Zhang DQ. Quantitative CT features on admission combined with laboratory biomarkers for predicting severe acute pancreatitis. Clin Radiol 2024; 79:e256-e263. [PMID: 38007338 DOI: 10.1016/j.crad.2023.10.034] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 08/08/2023] [Accepted: 10/26/2023] [Indexed: 11/27/2023]
Abstract
AIM To assess the association of quantitative computed tomography (CT) features on admission with acute pancreatitis (AP) severity, and to explore the performance of combined CT and laboratory markers for predicting severe AP (SAP). MATERIALS AND METHODS Data from 208 AP patients were reviewed retrospectively. Pancreas volume, the area of extrapancreatic inflammation, extrapancreatic fluid collection volume, and number were calculated based on CT images on admission. Laboratory biomarkers within 24 h of admission were collected. Interobserver agreement for CT measurements was measured by calculating interclass correlation coefficient (ICC). The associations of quantitative CT features with AP severity were evaluated. Predictive models for SAP were constructed based on CT and laboratory markers. Performances of single marker and the models were evaluated using receiver operating characteristic (ROC) curve and area under the ROC curve (AUC). RESULTS Pancreas volume, area of extrapancreatic inflammation, extrapancreatic fluid collection volume, and number were significantly different between severe and non-severe AP groups. In predicting SAP, the AUCs of quantitative CT indicators ranged from 0.72 to 0.79; the AUCs of laboratory biomarkers were between 0.53 and 0.66. The combined model of area of extrapancreatic inflammation, serum calcium, and haematocrit yielded an AUC of 0.84, significantly higher than that of the laboratory model, single CT, or laboratory marker. Interobserver agreements for quantitative CT indicators were excellent, with ICC ranging from 0.91 to 0.98. CONCLUSION Quantitative CT features on admission were significantly associated with AP severity; the combination of extrapancreatic inflammation area, serum calcium, and haematocrit could be taken as a new method for predicting SAP.
Collapse
Affiliation(s)
- C-P Liu
- Department of Radiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, No. 1158 Park East Road, Qingpu District, ShangHai, China.
| | - Z Chen
- Department of Radiology, QingPu Hospital of Traditional Chinese Medicine, No. 95 Qing'an Road, Qingpu District, ShangHai, China
| | - G Wu
- Department of Radiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, No. 1158 Park East Road, Qingpu District, ShangHai, China
| | - D-Q Zhang
- Department of Radiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, No. 1158 Park East Road, Qingpu District, ShangHai, China
| |
Collapse
|
5
|
Wang D, Li J, Sun X, Hu J, Tan X, Jia Q, Liu J, Zhang X, Wu G, Wang X. New electric field responsive photonic crystals with remarkable yellow-to-green switch for adaptive camouflage. J Colloid Interface Sci 2024; 654:581-591. [PMID: 37862807 DOI: 10.1016/j.jcis.2023.10.063] [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: 07/27/2023] [Revised: 10/04/2023] [Accepted: 10/13/2023] [Indexed: 10/22/2023]
Abstract
Electric field responsive photonic crystals take on critical significance in developing adaptive camouflage technology, which are promising materials for adaptive camouflage devices with better fabrication processes and color saturation. However, electric field responsive photonic crystals are primarily susceptible to poor fusion with typical background colors and necessitate the continuous implementation of electric fields to attain specific colors, thus limiting their practical applications. Monodisperse polyvinylpyrrolidone modified cadmium sulfide (PVP/CdS) microspheres with large refractive index are well prepared in this study. Liquid photonic crystals, exhibiting earth-yellow and light green under specific electric field, are obtained with PVP/CdS particles dispersed in propylene carbonate in accordance with the subtractive color mixing principle of structural color and initial color. The resulting electric field responsive photonic crystals are characterized by a simple preparation process, fast electrical response, long-time holding of the earth-yellow state, and reversible color changes between earth-yellow and light green in -3.5 V and + 3.5 V electric field switching. This study can contribute to the development of color-changing devices designed for adaptive camouflage applications.
Collapse
Affiliation(s)
- Dong Wang
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China
| | - Jingfang Li
- School of Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
| | - Xiaohui Sun
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China
| | - Jianghua Hu
- College of Field Engineering, Army Engineering University of PLA, Nanjing 210007, China
| | - Xueqiang Tan
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China
| | - Qi Jia
- College of Field Engineering, Army Engineering University of PLA, Nanjing 210007, China
| | - Jun Liu
- College of Field Engineering, Army Engineering University of PLA, Nanjing 210007, China
| | - Xuyang Zhang
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China.
| | - Guohua Wu
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China; The Key Laboratory of Functional Molecular Solids, Ministry of Education, China.
| | - Xiangwei Wang
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China.
| |
Collapse
|
6
|
Sharifi N, Smith H, Madden D, Kehoe T, Wu G, Yang L, Welbourn RJL, G Fernandez E, Clarke SM. Diamond-Like Carbon: A Surface for Extreme, High-Wear Environments. Langmuir 2024; 40:52-61. [PMID: 38113451 PMCID: PMC10786025 DOI: 10.1021/acs.langmuir.3c01438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 11/14/2023] [Accepted: 12/04/2023] [Indexed: 12/21/2023]
Abstract
In this study, we present an in-depth characterization of a diamond-like carbon (DLC) film, using a range of techniques to understand the structure and chemistry of the film both in the interior and particularly at the DLC/air surface and DLC/liquid interface. The DLC film is found to be a combination of sp2 and sp3 carbon, with significant oxygen present at the surface. The oxygen seems to be present as OH groups, making the DLC somewhat hydrophilic. Quartz-Crystal Microbalance (QCM) isotherms and complementary neutron reflectivity data indicate significant adsorption of a model additive, bis(2-ethylhexyl) sulfosuccinate sodium salt (AOT) surfactant, onto the DLC from water solutions and indicate the adsorbed film is a bilayer. This initial study of the structure and composition of a model surfactant is intended to give a clearer insight into how DLC and additives function as antiwear systems.
Collapse
Affiliation(s)
- N. Sharifi
- Institute
for Energy and Environmental Flows and Yusuf Hamied Department of
Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - H. Smith
- Institute
for Energy and Environmental Flows and Yusuf Hamied Department of
Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - D. Madden
- Institute
for Energy and Environmental Flows and Yusuf Hamied Department of
Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - T. Kehoe
- Institute
for Energy and Environmental Flows and Yusuf Hamied Department of
Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - G. Wu
- Institute
of Functional Surfaces, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, U.K.
| | - L. Yang
- Institute
of Functional Surfaces, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, U.K.
| | - R. J. L. Welbourn
- Rutherford
Appleton Laboratory, STFC, Chilton, ISIS
Neutron & Muon Source, Didcot, Oxon OX11 0QX, U.K.
| | - E. G Fernandez
- XMaS/BM28-ESRF, 71 Avenue Des Martyrs, F-38043 Grenoble, Cedex, France
- Department
of Physics, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K.
| | - S. M. Clarke
- Institute
for Energy and Environmental Flows and Yusuf Hamied Department of
Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| |
Collapse
|
7
|
Zheng C, Zeng R, Wu G, Hu Y, Yu H. Beyond Vision: A View from Eye to Alzheimer's Disease and Dementia. J Prev Alzheimers Dis 2024; 11:469-483. [PMID: 38374754 DOI: 10.14283/jpad.2023.118] [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: 02/21/2024]
Abstract
With the aging of the global population, the health care burden of Alzheimer's disease (AD) and dementia is considered to increase dramatically in the coming decades. Given the insufficiency of effective interventions for AD and dementia, clinical research on identifying potentially modifiable risk factors and early diagnostic biomarkers becomes a public health priority. Currently, extracerebral manifestations with a large proportion of ocular involvement are usually recognized to precede the symptoms of AD and dementia. Growing epidemiologic evidence also suggests that eye disorders, such as cataracts, age-related macular degeneration, glaucoma, diabetic retinopathy, and so on, are closely associated with and even have a higher incidence of AD and dementia. The eye, as an extension of the central nervous system, therefore has the potential to provide a feasible approach to detecting structural and functional abnormalities of the brain. Numerous new imaging modalities are developed and give novel insights into the detection of several neurodegenerative, vascular, neuropathological, and other ocular abnormalities of AD and dementia in scientific research and clinical application. This review provides an overview of the epidemiologic associations between eye disorders and AD or dementia and summarizes the recent advances in ocular examinations and techniques employed for the detection of AD and dementia. With more brain-and-eye interconnections being identified, the eye is becoming a noninvasive and easily accessible window for the early diagnosis and prevention of AD and dementia.
Collapse
Affiliation(s)
- C Zheng
- Prof. Honghua Yu, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China. Tel: 86-186-8888-8422.Fax: 86-8382-7812, E-mail: ; Prof. Yijun Hu, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China. Tel: 86-137-1052-6990. Fax: 86-8382-7812; E-mail:
| | | | | | | | | |
Collapse
|
8
|
Pan S, Wang J, Liu G, Zhang J, Song Y, Kong W, Zhou Y, Wu G. Factors influencing the detection rate of fumarate peak in 1H MR spectroscopy of fumarate hydratase-deficient renal cell carcinoma at 3 T MRI. Clin Radiol 2024; 79:e80-e88. [PMID: 37923625 DOI: 10.1016/j.crad.2023.09.026] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 09/06/2023] [Accepted: 09/29/2023] [Indexed: 11/07/2023]
Abstract
AIM To identify factors that may be associated with fumarate detection rate in 1H-magnetic resonance spectroscopy (MRS) in fumarate hydratase-deficient renal cell carcinoma (FH-RCC). MATERIALS AND MEHODS Between February 2018 and March 2022, 16 FH-RCC patients with 30 lesions underwent 1H-MRS. Detection results were classified as having a detected fumarate peak (n=12), undetected peak (n=10), or technical failure (n=8). Factors including tumour size, tumour location, treatment history, and metastasis status were collected and analysed. A Bayesian logistic regression model was applied to evaluate the association between these factors and the detection result. RESULTS Bayesian analysis demonstrated significant associations between fumarate detection results and the following factors: long-axis diameter (odds ratio [OR] of 1.64; 95% confidence interval [CI] of 1.07-2.53), short-axis diameter (OR of 1.90; 95% CI of 1.19-3.06), voxel size (OR of 2.85; 95% CI of 1.70-4.75), treatment history (OR of 0.35; 95% CI of 0.21-0.58), non-metastatic state (OR of 2.45; 95% CI of 1.48-4.06), and lymph node metastasis (OR of 0.35; 95% CI of 0.21-0.58). Technical failure results were associated with factors such as treatment history (OR of 2.59; 95% CI of 1.37-4.66), non-metastatic state (OR of 0.36; 95% CI of 0.19-0.66), and lymph node metastasis (OR of 2.61; 95% CI of 1.39-4.74). CONCLUSION Tumour size, treatment history, and metastasis character were associated with the detection of abnormal fumarate accumulation. This finding will serve as a reference for interpreting 1H-MRS results and for selecting suitable scenarios to evaluate FH-RCC.
Collapse
Affiliation(s)
- S Pan
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - J Wang
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - G Liu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - J Zhang
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Y Song
- MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, 201318, China
| | - W Kong
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Y Zhou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - G Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| |
Collapse
|
9
|
Zhang M, Sun X, Cai X, Zhan X, Wu Y, Zhang X, Wu G, Wang X. Large Microsphere Structure of a Co/C Composite Derived from Co-MOF with Excellent Wideband Electromagnetic Microwave Absorption Performance. ACS Appl Mater Interfaces 2023; 15:59681-59692. [PMID: 38086762 DOI: 10.1021/acsami.3c12986] [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] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
In the field of electromagnetic wave (EMW) absorption, carbon matrix materials based on metal-organic frameworks (MOFs) have drawn more interest as a result of their outstanding advantages, such as porous structure, lightweight, controlled morphology, etc. However, how to broaden the effective absorption bandwidth [EAB; reflection loss (RL) ≤ -10 dB] is still a challenge. In this paper, large microsphere structures of a Co/C composite composed of small particle clusters were successfully prepared by the solvothermal method and annealing treatment. At a filling ratio of 40 wt %, the Co/C composite shows attractive microwave absorption (MA) performance after being annealed at 600 °C in an atmosphere of argon. With an EAB of 6.32 GHz (9.92-16.24 GHz) and a thickness of just 2.57 mm, the minimum RL can be attained at -54.55 dB. Most importantly, the EAB can attain 7.12 GHz (10.88-18.0 GHz) when the thickness is 2.38 mm, which is larger than that of the majority of MOF-derived composites. The superior MA performance is strongly related to excellent impedance matching and a higher attenuation constant. This study provides a simple strategy for synthesizing a MOF-derived Co/C composite with a wide EAB.
Collapse
Affiliation(s)
- Mengyi Zhang
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin, Heilongjiang 150001, People's Republic of China
| | - Xiaohui Sun
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin, Heilongjiang 150001, People's Republic of China
| | - Xudong Cai
- Science and Technology on Near-Surface Detection Laboratory, Wuxi, Jiangsu 214035, People's Republic of China
| | - Xiaolu Zhan
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin, Heilongjiang 150001, People's Republic of China
| | - Yufei Wu
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin, Heilongjiang 150001, People's Republic of China
| | - Xuyang Zhang
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin, Heilongjiang 150001, People's Republic of China
| | - Guohua Wu
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin, Heilongjiang 150001, People's Republic of China
- Key Laboratory of Functional Molecular Solids, Ministry of Education, Wuhu, Anhui 241002, People's Republic of China
| | - Xiangwei Wang
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin, Heilongjiang 150001, People's Republic of China
| |
Collapse
|
10
|
McClatchy J, Strogantsev R, Wolfe E, Lin HY, Mohammadhosseini M, Davis BA, Eden C, Goldman D, Fleming WH, Conley P, Wu G, Cimmino L, Mohammed H, Agarwal A. Clonal hematopoiesis related TET2 loss-of-function impedes IL1β-mediated epigenetic reprogramming in hematopoietic stem and progenitor cells. Nat Commun 2023; 14:8102. [PMID: 38062031 PMCID: PMC10703894 DOI: 10.1038/s41467-023-43697-y] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 11/16/2023] [Indexed: 12/18/2023] Open
Abstract
Clonal hematopoiesis (CH) is defined as a single hematopoietic stem/progenitor cell (HSPC) gaining selective advantage over a broader range of HSPCs. When linked to somatic mutations in myeloid malignancy-associated genes, such as TET2-mediated clonal hematopoiesis of indeterminate potential or CHIP, it represents increased risk for hematological malignancies and cardiovascular disease. IL1β is elevated in patients with CHIP, however, its effect is not well understood. Here we show that IL1β promotes expansion of pro-inflammatory monocytes/macrophages, coinciding with a failure in the demethylation of lymphoid and erythroid lineage associated enhancers and transcription factor binding sites, in a mouse model of CHIP with hematopoietic-cell-specific deletion of Tet2. DNA-methylation is significantly lost in wild type HSPCs upon IL1β administration, which is resisted by Tet2-deficient HSPCs, and thus IL1β enhances the self-renewing ability of Tet2-deficient HSPCs by upregulating genes associated with self-renewal and by resisting demethylation of transcription factor binding sites related to terminal differentiation. Using aged mouse models and human progenitors, we demonstrate that targeting IL1 signaling could represent an early intervention strategy in preleukemic disorders. In summary, our results show that Tet2 is an important mediator of an IL1β-promoted epigenetic program to maintain the fine balance between self-renewal and lineage differentiation during hematopoiesis.
Collapse
Affiliation(s)
- J McClatchy
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - R Strogantsev
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - E Wolfe
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - H Y Lin
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - M Mohammadhosseini
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - B A Davis
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - C Eden
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA
| | - D Goldman
- Division of Hematology & Medical Oncology, Oregon Health & Science University, Portland, OR, USA
- Division of Pediatric Hematology and Oncology, Oregon Health & Science University, Portland, OR, USA
| | - W H Fleming
- Division of Hematology & Medical Oncology, Oregon Health & Science University, Portland, OR, USA
- Division of Pediatric Hematology and Oncology, Oregon Health & Science University, Portland, OR, USA
| | - P Conley
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - G Wu
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - L Cimmino
- University of Miami, Department of Biochemistry and Molecular Biology, Sylvester Comprehensive Cancer Center, Miami, USA
| | - H Mohammed
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - A Agarwal
- Division of Oncological Sciences, Oregon Health & Science University, Portland, OR, USA.
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR, USA.
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
- Division of Hematology & Medical Oncology, Oregon Health & Science University, Portland, OR, USA.
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA.
| |
Collapse
|
11
|
Deng G, Yao L, Chen M, Yang Y, Lu S, Wu G. The Photothermal Conversion and UV Resistance of Silk Fabrics Being Achieved through Surface Modification with C@SiO 2 Nanoparticles. Molecules 2023; 28:7970. [PMID: 38138460 PMCID: PMC10745433 DOI: 10.3390/molecules28247970] [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: 09/12/2023] [Revised: 11/17/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
With the improvement in people's living standards, the development and application of smart textiles are receiving increasing attention. In this study, a carbon nanosurface was successfully coated with a SiO2 layer to form C@SiO2 nanomaterials, which improved the dispersion of carbon nanomaterials in an aqueous solution and enhanced the absorption of light by the carbon nanoparticles. C@SiO2 nanoparticles were coupled on the surface of silk fabric with the silane coupling agent KH570 to form C@SiO2 nanosilk fabric. The silk fabric that was subjected to such surface modification was endowed with a special photothermal function. The results obtained with scanning electron microscopy (SEM), energy dispersive spectrometer (EDS), and infrared spectroscopy (FTIR) showed that C@SiO2 nanoparticles were successfully modified on the surface of the silk fabric. In addition, under the irradiation of near-infrared light with a power of 20 W and a wavelength of 808 nm, the C@SiO2 nanosilk fabric experienced rapid warming from 23 °C to 60 °C within 30 s. After subjecting the functional fabric to hundreds of photothermal experiments and multiple washes, the photothermal efficiency remained largely unchanged and proved to be durable and stable. In addition, the thermogravimetric (TG) analysis results showed that the C@SiO2 nanoparticles contributed to the thermal stability of the silk fabric. The UV transmittance results indicated that C@SiO2 nanofabric is UV-resistant. The silk modification method developed in this study is low-cost, efficient, and environmentally friendly. It has some prospects for future applications in the textile industry.
Collapse
Affiliation(s)
- Gang Deng
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China; (G.D.)
| | - Lu Yao
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China; (G.D.)
| | - Mingzhao Chen
- Huangshan Kehong BioFlavor Co., Ltd., Huangshan 245200, China
| | - Yuanyuan Yang
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China; (G.D.)
| | - Song Lu
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China; (G.D.)
| | - Guohua Wu
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China; (G.D.)
| |
Collapse
|
12
|
Zheng FF, Zhao YY, Cai LJ, Wu G, Wang JN, Zhao MZ. Roxadustat protects rat renal tubular epithelial cells from hypoxia-induced injury through the TGF-β1/Smad3 signaling pathway. Eur Rev Med Pharmacol Sci 2023; 27:11370-11382. [PMID: 38095386 DOI: 10.26355/eurrev_202312_34577] [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: 12/18/2023]
Abstract
OBJECTIVE Roxadustat is used to treat renal anemia. The renoprotective effect of roxadustat needs to be further confirmed, and the mechanism of action is unknown. This study aims to evaluate the effect and mechanism of roxadustat in hypoxia-related nephropathy with the renal tubular epithelial cell line NRK-52E. MATERIALS AND METHODS The cell Counting Kit-8 (CCK-8) assay was employed to assess cellular proliferation in the current investigation. Flow cytometry was used to conduct cell apoptosis analysis. The utilization of electron microscopy facilitated the identification of changes in cellular ultrastructure. Immunofluorescence was used to detect the expression trend of hypoxia-inducible factor-1α (HIF-1α). The connective tissue growth factor (CTGF), transforming growth factor-β1 (TGF-β1), Smad family member 3 (Smad3), p-Smad3, α-smooth muscle actin (α-SMA), collagen I, and HIF-1α were assessed by western blotting. Real-time fluorescent quantitative PCR (RT-qPCR) was used to measure TGF-β1 and Smad3 mRNA. RESULTS Significant growth inhibition and increased apoptosis were observed in NRK-52E cells cultured under hypoxic conditions (1% and 5% O2), which can be rescued by roxadustat. From a morphological perspective, it has been observed that roxadustat can counteract cellular damage features produced by hypoxia. These features include the contraction of the nuclear envelope and an increase in the formation of apoptotic bodies. Roxadustat increases HIF-1α expression acutely at 24 h, followed by a gradual reduction of HIF-1α expression to levels significantly below that of the hypoxia group by 72 h. Roxadustat can also inhibit hypoxia-induced increased expression of CTGF, TGF-β1, p-Smad3, α-SMA, collagen I, and HIF-1α. Combined treatment with roxadustat and siRNA against TGF-β1 synergistically reduced the expression of CTGF and HIF-1α, while the effect on TGF-β1 and p-Smad3 were comparable to that of the individual treatment alone. Comparably, the combined administration of roxadustat and siRNA targeting Smad3 had a synergistic impact on diminishing the expression of CTGF. CONCLUSIONS These findings indicate that roxadustat attenuates experimental renal fibrosis likely by inhibiting the TGF-β1/Smad3 pathways, while its effect on CTGF and HIF-1α may involve other signaling pathways.
Collapse
Affiliation(s)
- F-F Zheng
- The Affiliated Suqian Hospital of Xuzhou Medical University, Jiangsu, Suqian, China.
| | | | | | | | | | | |
Collapse
|
13
|
Xue Y, Zheng X, Wu G, Wang J. Rapid diagnosis of cervical cancer based on serum FTIR spectroscopy and support vector machines. Lasers Med Sci 2023; 38:276. [PMID: 38001244 DOI: 10.1007/s10103-023-03930-y] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023]
Abstract
Cervical cancer is one of the most common malignant tumors among female gynecological diseases. This paper aims to explore the feasibility of utilizing serum Fourier Transform Infrared (FTIR) spectroscopy, combined with machine learning and deep learning algorithms, to efficiently differentiate between healthy individuals, hysteromyoma patients, and cervical cancer patients. In this study, serum samples from 30 groups of hysteromyoma, 36 groups of cervical cancer, and 30 healthy groups were collected and FTIR spectra of each group were recorded. In addition, the raw datasets were averaged according to the number of scans to obtain an average dataset, and the raw datasets were spectrally enhanced to obtain an augmentation dataset, resulting in a total of three sets of data with sizes of 258, 96, and 1806, respectively. Then, the hyperparameters in the four kernel functions of the Support Vector Machine (SVM) model were optimized by grid search and leave-one-out (LOO) cross-validation. The resulting SVM models achieved recognition accuracies ranging from 85.0% to 100.0% on the test set. Furthermore, a one-dimensional convolutional neural network (1D-CNN) demonstrated a recognition accuracy of 75.0% to 90.0% on the test set. It can be concluded that the use of serum FTIR spectroscopy combined with the SVM algorithm for the diagnosis of cervical cancer has important medical significance.
Collapse
Affiliation(s)
- Yunfei Xue
- College of Software, Xinjiang University, 830046, Urumqi, China
| | - Xiangxiang Zheng
- Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, 300384, Tianjin, China
| | - Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunicationsn, 100876, Beijing, China.
| | - Jing Wang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, 830054, Urumqi, China
| |
Collapse
|
14
|
Lei Z, Jiang H, Liu J, Liu Y, Wu D, Sun C, Du Q, Wang L, Wu G, Wang S, Zhang X. Audible Acoustic Wave Promotes EV Formation and Secretion from Adherent Cancer Cells via Mechanical Stimulation. ACS Appl Mater Interfaces 2023; 15:53859-53870. [PMID: 37909306 DOI: 10.1021/acsami.3c13845] [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] [Indexed: 11/03/2023]
Abstract
Cancer-derived extracellular vesicles (EVs) have shown great potential in the field of cancer metastasis research. However, inefficient EV biofabrication has become a barrier to large-scale research on cancer-derived EVs. Here, we presented a novel method to enhance the biofabrication of cancer-derived EVs via audible acoustic wave (AAW), which yielded mechanical stimuli, including surface acoustic pressure and surface stress. Compared to EV yield in conventional static culture, AAW increased the number of cancer-derived EVs by up to 2.5-folds within 3 days. Furthermore, cancer-derived EVs under AAW stimulation exhibited morphology, size, and zeta potential comparable to EVs generated in conventional static culture, and more importantly, they showed the capability to promote cancer cell migration and invasion under both 2D and 3D culture conditions. Additionally, the elevation in EV biofabrication correlated with the activation of the ESCRT pathway and upregulation of membrane fusion-associated proteins (RAB family, SNARE family, RHO family) in response to AAW stimulation. We believe that AAW represents an attractive approach to achieving high-quantity and high-quality production of EVs and that it has the potential to enhance EV biofabrication from other cell types, thereby facilitating EV-based scientific and translational research.
Collapse
Affiliation(s)
- Zhuoyue Lei
- College of Biomedical Engineering, Sichuan University, Chengdu 610065, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
| | - Hongwei Jiang
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
| | - Jie Liu
- College of Biomedical Engineering, Sichuan University, Chengdu 610065, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
| | - Yuping Liu
- Fuyang Tumor Hospital, Yingzhou District146 Hebin East Rd, Fuyang 236048, China
| | - Di Wu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
| | - Chenwei Sun
- College of Biomedical Engineering, Sichuan University, Chengdu 610065, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
| | - Qijun Du
- College of Biomedical Engineering, Sichuan University, Chengdu 610065, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
| | - Liangwen Wang
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Guohua Wu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
- Tianfu Jincheng Laboratory, City of Future Medicine, Chengdu 641400, China
| | - Shuqi Wang
- College of Biomedical Engineering, Sichuan University, Chengdu 610065, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
- Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu 610065, China
- Tianfu Jincheng Laboratory, City of Future Medicine, Chengdu 641400, China
| | - Xingdong Zhang
- College of Biomedical Engineering, Sichuan University, Chengdu 610065, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610065, China
| |
Collapse
|
15
|
Jin Z, Chen Z, Wu K, Yu D, Wu G, Yu S, Luo B, Guo H. Node-downloadable frequency transfer system based on a mode-locked laser with over 100 km of fiber. Opt Express 2023; 31:39681-39694. [PMID: 38041284 DOI: 10.1364/oe.505299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/29/2023] [Indexed: 12/03/2023]
Abstract
To meet the requirements of time-frequency networks and enable frequency downloadability for nodes along the link, we demonstrated the extraction of stable frequency signals at nodes using a mode-locked laser under the condition of 100 km laboratory fiber. The node consists of a simple structure that utilizes widely used optoelectronic devices and enables plug-and-play applications. In addition, the node can recover frequency signals with multiple frequencies, which are useful for scenarios that require different frequencies. Here, we experimentally demonstrated a short-term frequency instability of 2.83 × 10-13@1 s and a long-term frequency instability of 1.18 × 10-15@10,000 s at the node, which is similar to that at the remote site of the frequency transfer system. At the same time, frequency signals with different frequencies also achieved stable extraction with the same performance at the node. Our results can support the distributed application under large-scale time-frequency networks.
Collapse
|
16
|
Wu D, Wu J, Liu H, Shi S, Wang L, Huang Y, Yu X, Lei Z, Ouyang T, Shen J, Wu G, Wang S. A biomimetic renal fibrosis progression model on-chip evaluates anti-fibrotic effects longitudinally in a dynamic fibrogenic niche. Lab Chip 2023; 23:4708-4725. [PMID: 37840380 DOI: 10.1039/d3lc00393k] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Although renal fibrosis can advance chronic kidney disease and progressively lead to end-stage renal failure, no effective anti-fibrotic drugs have been clinically approved. To aid drug development, we developed a biomimetic renal fibrosis progression model on-chip to evaluate anti-fibrotic effects of natural killer cell-derived extracellular vesicles and pirfenidone (PFD) across different fibrotic stages. First, the dynamic interplay between fibroblasts and kidney-derived extracellular matrix (ECM) resembling the fibrogenic niche on-chip demonstrated that myofibroblasts induced by stiff ECM in 3 days were reversed to fibroblasts by switching to soft ECM, which was within 2, but not 7 days. Second, PFD significantly down-regulated the expression of α-SMA in NRK-49F in medium ECM, as opposed to stiff ECM. Third, a study in rats showed that early administration of PFD significantly inhibited renal fibrosis in terms of the expression levels of α-SMA and YAP. Taken together, both on-chip and animal models indicate the importance of early anti-fibrotic intervention for checking the progression of renal fibrosis. Therefore, this renal fibrosis progression on-chip with a feature of recapitulating dynamic biochemical and biophysical cues can be readily used to assess anti-fibrotic candidates and to explore the tipping point when the fibrotic fate can be rescued for better medical intervention.
Collapse
Affiliation(s)
- Di Wu
- Institute for Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 310029, China
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
- Tianfu Jincheng Laboratory, City of Future Medicine, Chengdu, 641400, China
| | - Jianguo Wu
- Institute for Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 310029, China
| | - Hui Liu
- Institute for Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 310029, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610065, China
- Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610065, China
| | - Shengyu Shi
- Institute for Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 310029, China
| | - Liangwen Wang
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yixiao Huang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610065, China
- Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610065, China
| | - Xiaorui Yu
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610065, China
- Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610065, China
| | - Zhuoyue Lei
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610065, China
- Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610065, China
| | - Tanliang Ouyang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610065, China
- Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610065, China
| | - Jia Shen
- Kidney Disease Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310029, China
| | - Guohua Wu
- Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610065, China
- Tianfu Jincheng Laboratory, City of Future Medicine, Chengdu, 641400, China
| | - Shuqi Wang
- Institute for Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 310029, China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, 610065, China
- Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610065, China
- Tianfu Jincheng Laboratory, City of Future Medicine, Chengdu, 641400, China
| |
Collapse
|
17
|
Du Y, Hu L, Wu G, Tang Y, Cai X, Yin L. Diagnoses in multiple types of cancer based on serum Raman spectroscopy combined with a convolutional neural network: Gastric cancer, colon cancer, rectal cancer, lung cancer. Spectrochim Acta A Mol Biomol Spectrosc 2023; 298:122743. [PMID: 37119637 DOI: 10.1016/j.saa.2023.122743] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/02/2023] [Accepted: 04/11/2023] [Indexed: 05/26/2023]
Abstract
Cancer is one of the major diseases that seriously threaten human health. Timely screening is beneficial to the cure of cancer. There are some shortcomings in current diagnosis methods, so it is very important to find a low-cost, fast, and nondestructive cancer screening technology. In this study, we demonstrated that serum Raman spectroscopy combined with a convolutional neural network model can be used for the diagnosis of four types of cancer including gastric cancer, colon cancer, rectal cancer, and lung cancer. Raman spectra database containing four types of cancer and healthy controls was established and a one-dimensional convolutional neural network (1D-CNN) was constructed. The classification accuracy of the Raman spectra combined with the 1D-CNN model was 94.5%. A convolutional neural network (CNN) is regarded as a black box, and the learning mechanism of the model is not clear. Therefore, we tried to visualize the CNN features of each convolutional layer in the diagnosis of rectal cancer. Overall, Raman spectroscopy combined with the CNN model is an effective tool that can be used to distinguish different cancer from healthy controls.
Collapse
Affiliation(s)
- Yu Du
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Lin Hu
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, 400016 Chongqing, China
| | - Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
| | - Yishu Tang
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, 400016 Chongqing, China.
| | - Xiongwei Cai
- Department of Gynecology, Chongqing Health Center for Women and Children, Women and Children's Hospital of Chongqing Medical University, 400016 Chongqing, China
| | - Longfei Yin
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| |
Collapse
|
18
|
Zhang W, Li Z, Wu G, Wu W, Zeng H, Jiang H, Zhang W, Wu R, Xue Q. Preparation, Chromatic Properties Analysis and Proportioning Optimization of Co-Cr-Fe-Based Black Pigment. Materials (Basel) 2023; 16:5785. [PMID: 37687477 PMCID: PMC10488638 DOI: 10.3390/ma16175785] [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] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023]
Abstract
The utilization of Co-Cr-Fe-based black pigments bears considerable significance within the realm of commercial ceramic pigments, owing to their distinctive spinel structure, remarkable high-temperature stability, and exceptional chromatic attributes. This study delves into the synthesis of diverse black pigment configurations by employing the co-precipitation method, leveraging the interplay of these three metallic oxides. This investigation encompasses a comprehensive scrutiny of ion valences, crystal structures and parameters, colorimetric properties, and their interrelationships. The methodology integrates the response surface methodology (RSM) framework, using theoretical formulations to navigate the material ratios and elucidating the associations between the resultant compositions and color coordinate values, aligned with the CIE-Lab* colorimetric methodology. The derived predictive models yielded an optimized black pigment composition, characterized by heightened black intensity and a refined formulation.
Collapse
Affiliation(s)
- Weiran Zhang
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
- National and Local Joint Engineering Research Center for Advanced Packaging Material and Technology, Hunan University of Technology, Zhuzhou 412007, China
| | - Ziyu Li
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
- National and Local Joint Engineering Research Center for Advanced Packaging Material and Technology, Hunan University of Technology, Zhuzhou 412007, China
| | - Guohua Wu
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
- National and Local Joint Engineering Research Center for Advanced Packaging Material and Technology, Hunan University of Technology, Zhuzhou 412007, China
| | - Wei Wu
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
| | - Hailan Zeng
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
| | - Haiyun Jiang
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
- National and Local Joint Engineering Research Center for Advanced Packaging Material and Technology, Hunan University of Technology, Zhuzhou 412007, China
| | - Weili Zhang
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
| | - Ruomei Wu
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
| | - Qiong Xue
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China; (W.Z.); (Z.L.); (G.W.); (W.W.); (H.Z.); (W.Z.); (R.W.); (Q.X.)
| |
Collapse
|
19
|
Zhang W, Wu G, Zeng H, Li Z, Wu W, Jiang H, Zhang W, Wu R, Huang Y, Lei Z. The Preparation, Structural Design, and Application of Electroactive Poly(vinylidene fluoride)-Based Materials for Wearable Sensors and Human Energy Harvesters. Polymers (Basel) 2023; 15:2766. [PMID: 37447413 DOI: 10.3390/polym15132766] [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: 05/23/2023] [Revised: 06/17/2023] [Accepted: 06/19/2023] [Indexed: 07/15/2023] Open
Abstract
Owing to their biocompatibility, chemical stability, film-forming ability, cost-effectiveness, and excellent electroactive properties, poly(vinylidene fluoride) (PVDF) and PVDF-based polymers are widely used in sensors, actuators, energy harvesters, etc. In this review, the recent research progress on the PVDF phase structures and identification of different phases is outlined. Several approaches for obtaining the electroactive phase of PVDF and preparing PVDF-based nanocomposites are described. Furthermore, the potential applications of these materials in wearable sensors and human energy harvesters are discussed. Finally, some challenges and perspectives for improving the properties and boosting the applications of these materials are presented.
Collapse
Affiliation(s)
- Weiran Zhang
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
- National & Local Joint Engineering Research Center for Advanced Packaging Material and Technology, Hunan University of Technology, Zhuzhou 412007, China
| | - Guohua Wu
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
| | - Hailan Zeng
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
| | - Ziyu Li
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
| | - Wei Wu
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
| | - Haiyun Jiang
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
- National & Local Joint Engineering Research Center for Advanced Packaging Material and Technology, Hunan University of Technology, Zhuzhou 412007, China
| | - Weili Zhang
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
| | - Ruomei Wu
- School of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China
| | - Yiyang Huang
- Shenzhen Glareway Technology Co., Ltd., Shenzhen 518110, China
| | - Zhiyong Lei
- Shenzhen Glareway Technology Co., Ltd., Shenzhen 518110, China
| |
Collapse
|
20
|
Wu G, Jiang L, Guo J, Li W, Ma L, Tang B, Liu CC. The Study of Alanine Transaminase Activity in Tissues of Silkworm ( Bombyx mori) via Direct Analysis in Real-Time (DART) Mass Spectrometry. Molecules 2023; 28:molecules28104131. [PMID: 37241871 DOI: 10.3390/molecules28104131] [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: 04/19/2023] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023] Open
Abstract
Alanine transaminase (ALT) is an important amino acid-metabolizing enzyme in silkworm Bombyx mori L., and is mainly involved in transferring glutamate to alanine (serving as an essential precursor in silk protein synthesis) through transamination. Therefore, it is generally believed that silk protein synthesis in the silk gland and the cocoon quantity increase with the increase in ALT activity to a certain extent. Here, a novel analytical method was developed to determine the ALT activity in several key tissues of Bombyx mori L. including the posterior silk gland, midgut, fat body, middle silk gland, trachea and hemolymph, by combining the direct-analysis-in-real-time (DART) ion source with a triple-quadrupole mass spectrometer. In addition, a traditional ALT activity assay, the Reitman-Frankel method, was also used to measure ALT activity for comparison. The ALT activity results obtained via the DART-MS method are in good agreement with those obtained via the Reitman-Frankel method. However, the present DART-MS method provides a more convenient, rapid and environmentally friendly quantitative method for ALT measurement. Especially, this method can also monitor ALT activity in different tissues of Bombyx mori L. in real time.
Collapse
Affiliation(s)
- Guohua Wu
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
- College of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Lei Jiang
- College of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Jianjun Guo
- College of Agriculture, Anshun University, Anshun 561000, China
| | - Wushuang Li
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Lin Ma
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Bozhi Tang
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | | |
Collapse
|
21
|
Wu G, Sun Y, Yin L, Song Z, Yu W. High-definition image transmission through dynamically perturbed multimode fiber by a self-attention based neural network. Opt Lett 2023; 48:2764-2767. [PMID: 37186760 DOI: 10.1364/ol.489828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
We implement faithful multimode fiber (MMF) image transmission by a self-attention-based neural network. Compared with a real-valued artificial neural network (ANN) based on a convolutional neural network (CNN), our method utilizes a self-attention mechanism to achieve a higher image quality. The enhancement measure (EME) and structural similarity (SSIM) of the dataset collected in the experiment improved by 0.79 and 0.04; the total number of parameters can be reduced by up to 25%. To enhance the robustness of the neural network to MMF bending in image transmission, we use a simulation dataset to prove that the hybrid training method is helpful in MMF transmission of a high-definition image. Our findings may pave the way for simpler and more robust single-MMF image transmission schemes with hybrid training; SSIM on datasets under different disturbances improve by 0.18. This system has the potential to be applied to various high-demand image transmission tasks, such as endoscopy.
Collapse
|
22
|
Du Y, Xie F, Wu G, Chen P, Yang Y, Yang L, Yin L, Wang S. A classification model for detection of ductal carcinoma in situ by Fourier transform infrared spectroscopy based on deep structured semantic model. Anal Chim Acta 2023; 1251:340991. [PMID: 36925283 DOI: 10.1016/j.aca.2023.340991] [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: 10/12/2022] [Revised: 01/26/2023] [Accepted: 02/16/2023] [Indexed: 02/19/2023]
Abstract
At present, deep learning is widely used in spectral data processing. Deep learning requires a large amount of data for training, while the collection of biological serum spectra is limited by sample numbers and labor costs, so it is impractical to obtain a large amount of serum spectral data for disease detection. In this study, we propose a spectral classification model based on the deep structured semantic model (DSSM) and successfully apply it to Fourier Transform Infrared (FT-IR) spectroscopy for ductal carcinoma in situ (DCIS) detection. Compared with the traditional deep learning model, we match the spectral data into positive and negative pairs according to whether the spectra are from the same category. The DSSM structure is constructed by extracting features according to the spectral similarity of spectra pairs. This new construction model increases the data amount used for model training and reduces the dimension of spectral data. Firstly, the FT-IR spectra are paired. The spectra pairs are labeled as positive pairs if they come from the same category, and the spectra pairs are labeled as negative pairs if they come from different categories. Secondly, two spectra in each spectra pair are put into two deep neural networks of the DSSM structure separately. Then the spectral similarity between the output feature maps of two deep neural networks is calculated. The DSSM structure is trained by maximizing the conditional likelihood of the spectra pairs from the same category. Thirdly, after the training of DSSM is done, the training set and testing set are input into two deep neural networks separately. The output feature maps of the training set are put into the reference library. Lastly, the k-nearest neighbor (KNN) model is used for classification according to Euclidean distances between the output feature map of each unknown sample to the reference library. The category of the unknown sample is judged according to the categories of k nearest samples. We also use principal component analysis (PCA) to reduce dimension for comparison. The accuracies of the KNN model, principal component analysis-k nearest neighbor (PCA-KNN) model, and deep structured semantic model-k nearest neighbor (DSSM-KNN) model are 78.8%, 72.7%, and 97.0%, which proves that our proposed model has higher accuracy.
Collapse
Affiliation(s)
- Yu Du
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Fei Xie
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China
| | - Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
| | - Peng Chen
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Yang Yang
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China
| | - Liu Yang
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China
| | - Longfei Yin
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Shu Wang
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China.
| |
Collapse
|
23
|
Xue S, Liu QY, Song XX, Wu G, Fu FF, Liu DK, Hu Q, Kong LF. [Clinicopathological characteristics of 16 cases of intramuscular hemangioma capillary type]. Zhonghua Bing Li Xue Za Zhi 2023; 52:393-395. [PMID: 36973202 DOI: 10.3760/cma.j.cn112151-20220806-00680] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Affiliation(s)
- S Xue
- Department of Pathology, Henan Provincial People's Hospital, the People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - Q Y Liu
- Department of Pathology, Henan Provincial People's Hospital, the People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - X X Song
- Department of Pathology, Henan Provincial People's Hospital, the People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - G Wu
- Department of Ultrasonography, Henan Provincial People's Hospital, the People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - F F Fu
- Department of Image, Henan Provincial People's Hospital, the People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - D K Liu
- Department of Hemangioma, Henan Provincial People's Hospital, the People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - Q Hu
- Department of Pathology, the People's Hospital of Yongcheng, Shangqiu 476600, China
| | - L F Kong
- Department of Pathology, Henan Provincial People's Hospital, the People's Hospital of Zhengzhou University, Zhengzhou 450003, China
| |
Collapse
|
24
|
Rogers W, Keek SA, Beuque M, Lavrova E, Primakov S, Wu G, Yan C, Sanduleanu S, Gietema HA, Casale R, Occhipinti M, Woodruff HC, Jochems A, Lambin P. Towards texture accurate slice interpolation of medical images using PixelMiner. Comput Biol Med 2023; 161:106701. [PMID: 37244145 DOI: 10.1016/j.compbiomed.2023.106701] [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: 11/29/2021] [Revised: 08/06/2022] [Accepted: 11/23/2022] [Indexed: 05/29/2023]
Abstract
Quantitative image analysis models are used for medical imaging tasks such as registration, classification, object detection, and segmentation. For these models to be capable of making accurate predictions, they need valid and precise information. We propose PixelMiner, a convolution-based deep-learning model for interpolating computed tomography (CT) imaging slices. PixelMiner was designed to produce texture-accurate slice interpolations by trading off pixel accuracy for texture accuracy. PixelMiner was trained on a dataset of 7829 CT scans and validated using an external dataset. We demonstrated the model's effectiveness by using the structural similarity index (SSIM), peak signal to noise ratio (PSNR), and the root mean squared error (RMSE) of extracted texture features. Additionally, we developed and used a new metric, the mean squared mapped feature error (MSMFE). The performance of PixelMiner was compared to four other interpolation methods: (tri-)linear, (tri-)cubic, windowed sinc (WS), and nearest neighbor (NN). PixelMiner produced texture with a significantly lowest average texture error compared to all other methods with a normalized root mean squared error (NRMSE) of 0.11 (p < .01), and the significantly highest reproducibility with a concordance correlation coefficient (CCC) ≥ 0.85 (p < .01). PixelMiner was not only shown to better preserve features but was also validated using an ablation study by removing auto-regression from the model and was shown to improve segmentations on interpolated slices.
Collapse
Affiliation(s)
- W Rogers
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - S A Keek
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - M Beuque
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - E Lavrova
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; GIGA Cyclotron Research Centre in Vivo Imaging, University of Liège, Liège, Belgium
| | - S Primakov
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - G Wu
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - C Yan
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - S Sanduleanu
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - H A Gietema
- Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - R Casale
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; Department of Radiology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - M Occhipinti
- Radiomics, Clos Chanmurly 13, 4000, Liege, Belgium
| | - H C Woodruff
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - A Jochems
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - P Lambin
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| |
Collapse
|
25
|
Chen H, Hu Y, Fan Y, Wu G, Cang S, Yang Y, Yang N, Ma R, Jing G, Liu A, Xu X, Tang S, Cheng Y, Yu Y, Wu YL. 22P Adding anlotinib in gradual or local progression on first-line EGFR-TKIs for advanced non-small cell lung cancer: A single-arm, multicenter, phase II trial. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00276-9] [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: 04/03/2023]
|
26
|
Jiang L, Wu C, Yao L, Dong Q, Wu G. Effect of
CeO
2
NPs
on stability of regenerated silk fibroin against
UV
‐aging. J Appl Polym Sci 2023. [DOI: 10.1002/app.53788] [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] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Affiliation(s)
- Lei Jiang
- School of Environmental and Chemical Engineering Jiangsu University of Science and Technology Zhenjiang China
| | - Chengkun Wu
- College of Biotechnology (and Sericultural Research Institute) Jiangsu University of Science and Technology Zhenjiang China
| | - Lu Yao
- College of Biotechnology (and Sericultural Research Institute) Jiangsu University of Science and Technology Zhenjiang China
| | - Qiuxia Dong
- College of Biotechnology (and Sericultural Research Institute) Jiangsu University of Science and Technology Zhenjiang China
| | - Guohua Wu
- School of Environmental and Chemical Engineering Jiangsu University of Science and Technology Zhenjiang China
- College of Biotechnology (and Sericultural Research Institute) Jiangsu University of Science and Technology Zhenjiang China
| |
Collapse
|
27
|
Wu G, Li C, Yin L, Wang J, Zheng X. Compared between support vector machine (SVM) and deep belief network (DBN) for multi-classification of Raman spectroscopy for cervical diseases. Photodiagnosis Photodyn Ther 2023; 42:103340. [PMID: 36858147 DOI: 10.1016/j.pdpdt.2023.103340] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/31/2023] [Accepted: 02/10/2023] [Indexed: 03/03/2023]
Abstract
In this study, a minimally invasive test method for cervical cancer in vitro was proposed by comparing Raman spectroscopy with support vector machine (SVM) model and deep belief network (DBN) model. The serum Raman spectra of cervical cancer, hysteromyoma, and healthy people were collected. After data processing, SVM classification model and DBN classification model were built respectively. The experimental results show that when the DBN network algorithm is used, the sample test set can be divided accurately and the result of cross-validation is ideal. Compared with the traditional SVM algorithm, this method firstly screened the effective feature matrix from the data, and then classified the data. With high efficiency and accuracy, based on 445 samples collected, this method improved the accuracy by 13.93%±2.47% compared with the SVM method, and provided a new direction and idea for the in vitro diagnosis of cervical diseases.
Collapse
Affiliation(s)
- Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
| | - Chenchen Li
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Longfei Yin
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Jing Wang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Xiangxiang Zheng
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| |
Collapse
|
28
|
Guo J, Xu C, Yang B, Li H, Wu G. The Size Effect of Silver Nanoparticles on Reinforcing the Mechanical Properties of Regenerated Fibers. Molecules 2023; 28:molecules28041750. [PMID: 36838738 PMCID: PMC9965295 DOI: 10.3390/molecules28041750] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/09/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
Regenerated silk fibroin (RSF), made from discarded silk cocoons, can be processed into regenerated silk fibers by a simple, inexpensive, and environmentally friendly wet-spinning process. However, the breaking strength and toughness of most RSF fibers are lower than those of natural silk. In this study, Ag nanoparticles (NPs) of different sizes were introduced into RSF to form RSF/AgNPs hybrid fibers by wet spinning. The effects of AgNPs of different sizes on the mechanical properties and structure of the hybrid fibers were investigated. The results demonstrated that the mechanical properties of hybrid fibers were significantly improved, especially the breaking strain, after the addition of four different sizes of AgNPs. With the reduction in AgNPs size (2-60 nm), the breaking strength and breaking strain of hybrid fibers tended to increase. The results showed that the hybrid fibers containing 2 nm AgNPs were remarkable, with excellent mechanical properties and toughness, and the breaking strain reached 138.27%, which was far greater than blank RSF fibers (15.02%) and even natural silk (about 21%). The S-FTIR and WAXD showed that, compared with the larger AgNPs, the smaller AgNPs contributed more to the formation of silk fibroin β-sheet and crystallinity, and reduced the β-crystallite size. This study is helpful to understand the relationship between the size of nanoparticles and the mechanical properties of hybrid fibers.
Collapse
Affiliation(s)
- Jianjun Guo
- College of Agriculture, Anshun University, Anshun 561000, China
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Chen Xu
- College of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Bo Yang
- Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, Huaibei Normal University, Huaibei 235000, China
| | - Hang Li
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Guohua Wu
- College of Biotechnology and Sericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang 212100, China
- College of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
- Correspondence:
| |
Collapse
|
29
|
Liu C, Xie H, Wei P, Gong T, Wu G, Xu Z, Chen S. Clinical study of early rehabilitation training combined with negative pressure wound therapy for the treatment of deep partial-thickness hand burns. Front Surg 2023; 10:1040407. [PMID: 36843993 PMCID: PMC9952234 DOI: 10.3389/fsurg.2023.1040407] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 01/04/2023] [Indexed: 02/10/2023] Open
Abstract
Objective This study aims to explore the clinical effect of early rehabilitation training combined with negative pressure wound therapy (NPWT) for treating deep partial-thickness hand burns. Methods Twenty patients with deep partial-thickness hand burns were randomly divided into an experimental group (n = 10) and a control group (n = 10). In the experimental group, early rehabilitation training combined with NPWT was performed, including the proper sealing of the negative pressure device, intraoperative plastic brace, early postoperative exercise therapy during negative pressure treatment, and intraoperative and postoperative body positioning. Routine NPWT was conducted in the control group. Both groups received 4 weeks of rehabilitation after wounds healed by NPWT with or without skin grafts. Hand function was evaluated after wound healing and 4 weeks after rehabilitation, including hand joint total active motion (TAM) and the brief Michigan Hand Questionnaire (bMHQ). Results Twenty patients were involved in this study, including 16 men and 4 women, aged 18-70 years, and the hand burn area ranged from 0.5% to 2% of the total body surface area (TBSA). There was no significant difference in TAM and bMHQ scores between the two groups after negative pressure removal. After 4 weeks of rehabilitation training, the TAM scores and bMHQ scores were significantly improved in both groups (p < 0.05); among them, those of the experimental group were both significantly better than those of the control group (p < 0.05). Conclusion The application of early rehabilitation training combined with NPWT to treat deep partial-thickness hand burns can effectively improve hand function.
Collapse
Affiliation(s)
- Canbin Liu
- Burn & Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Institute, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Medical Center, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Burn and Trauma, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hongteng Xie
- Burn & Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Institute, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Medical Center, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Burn and Trauma, Fujian Medical University Union Hospital, Fuzhou, China
| | - Pei Wei
- Burn & Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Institute, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Medical Center, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Burn and Trauma, Fujian Medical University Union Hospital, Fuzhou, China
| | - Teng Gong
- Burn & Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Institute, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Medical Center, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Burn and Trauma, Fujian Medical University Union Hospital, Fuzhou, China
| | - Guohua Wu
- Burn & Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Institute, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Medical Center, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Burn and Trauma, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhaorong Xu
- Burn & Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Institute, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Medical Center, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Burn and Trauma, Fujian Medical University Union Hospital, Fuzhou, China,Correspondence: Shun Chen Zhaorong Xu
| | - Shun Chen
- Burn & Wound Repair Department, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Institute, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Burn Medical Center, Fujian Medical University Union Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Burn and Trauma, Fujian Medical University Union Hospital, Fuzhou, China,Correspondence: Shun Chen Zhaorong Xu
| |
Collapse
|
30
|
Li C, Dong X, Yuan Q, Xu G, Di Z, Yang Y, Hou J, Zheng L, Chen W, Wu G. Identification of novel characteristic biomarkers and immune infiltration profile for the anaplastic thyroid cancer via machine learning algorithms. J Endocrinol Invest 2023:10.1007/s40618-023-02022-6. [PMID: 36725810 DOI: 10.1007/s40618-023-02022-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/24/2023] [Indexed: 02/03/2023]
Abstract
PURPOSE Anaplastic thyroid cancer (ATC) is a rare and lethal malignant cancer. In recent years, the application of molecular-driven targeted therapy and immunotherapy has markedly improved the prognosis of ATC. This study aimed to identify characteristic genes for ATC diagnosis and revealed the role of ATC characteristic genes in drug sensitivity and immune cell infiltration. METHODS We downloaded ATC RNA-sequencing data from the GEO database. Following the combination and normalization of the dataset, we first divided the combined datasets into the training cohort and the validation cohort. We identified differentially expressed genes (DEGs) in ATC by differential expression analysis in the training cohort. We used two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) to identify ATC characteristic genes. The CIBERSORT algorithm was performed to calculate the abundance of various immune cells in ATC. Finally, we validated the expression of ATC characteristic genes by quantitative RT-PCR (RT-qPCR) in ATC cell lines and immunohistochemistry (IHC). RESULTS A total of 425 DEGs were identified in the training cohort, including 240 upregulated genes and 185 downregulated genes. Four ATC characteristic genes (ADM, PXDN, MMP1, and TFF3) were identified, and their diagnostic value was validated in the validation cohort (AUC in ROC analysis > 0.75). We established a practical gene expression-based nomogram to accurately predict the probability of ATC. We also found that ATC characteristic biomarkers are associated with the tumor immune microenvironment and drug sensitivity. CONCLUSION ADM, PXDN, MMP1, and TFF3 might serve as potential ATC diagnostic biomarkers and may be helpful for ATC molecular targeted therapy and immunotherapy.
Collapse
Affiliation(s)
- C Li
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - X Dong
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Q Yuan
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - G Xu
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Z Di
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
- Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Y Yang
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - J Hou
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - L Zheng
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - W Chen
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
| | - G Wu
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
| |
Collapse
|
31
|
Wu W, Zeng H, Zhang W, Zhang W, Jiang H, Wu G, Li Z, Wang X, Huang Y, Lei Z. Cover Image, Volume 140, Issue 4. J Appl Polym Sci 2023. [DOI: 10.1002/app.53511] [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: 12/23/2022]
|
32
|
Wang X, Xie F, Yang Y, Zhao J, Wu G, Wang S. Rapid Diagnosis of Ductal Carcinoma In Situ and Breast Cancer Based on Raman Spectroscopy of Serum Combined with Convolutional Neural Network. Bioengineering (Basel) 2023; 10:bioengineering10010065. [PMID: 36671637 PMCID: PMC9854817 DOI: 10.3390/bioengineering10010065] [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: 11/28/2022] [Revised: 12/22/2022] [Accepted: 12/27/2022] [Indexed: 01/06/2023]
Abstract
Ductal carcinoma in situ (DCIS) and breast cancer are common female breast diseases and pose a serious health threat to women. Early diagnosis of breast cancer and DCIS can help to develop targeted treatment plans in time. In this paper, we investigated the feasibility of using Raman spectroscopy combined with convolutional neural network (CNN) to discriminate between healthy volunteers, breast cancer and DCIS patients. Raman spectra were collected from the sera of 241 healthy volunteers, 463 breast cancer and 100 DCIS patients, and a total of 804 spectra were recorded. The pre-processed Raman spectra were used as the input of CNN to establish a model to classify the three different spectra. After using cross-validation to optimize its hyperparameters, the model's final classification performance was assessed using an unknown test set. For comparison with other machine learning algorithms, we additionally built models using support vector machine (SVM), random forest (RF) and k-nearest neighbor (KNN) methods. The final accuracies for CNN, SVM, RF and KNN were 98.76%, 94.63%, 80.99% and 78.93%, respectively. The values for area under curve (AUC) were 0.999, 0.994, 0.931 and 0.900, respectively. Therefore, our study results demonstrate that CNN outperforms three traditional algorithms in terms of classification performance for Raman spectral data and can be a useful auxiliary diagnostic tool of breast cancer and DCIS.
Collapse
Affiliation(s)
- Xianglei Wang
- School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Fei Xie
- Department of Breast Center, Peking University People’s Hospital, Beijing 100044, China
| | - Yang Yang
- Department of Breast Center, Peking University People’s Hospital, Beijing 100044, China
| | - Jin Zhao
- Department of Breast Center, Peking University People’s Hospital, Beijing 100044, China
| | - Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
- Correspondence: (G.W.); (S.W.)
| | - Shu Wang
- Department of Breast Center, Peking University People’s Hospital, Beijing 100044, China
- Correspondence: (G.W.); (S.W.)
| |
Collapse
|
33
|
Du Y, Xie F, Yin L, Yang Y, Yang H, Wu G, Wang S. Breast cancer early detection by using Fourier-transform infrared spectroscopy combined with different classification algorithms. Spectrochim Acta A Mol Biomol Spectrosc 2022; 283:121715. [PMID: 35985225 DOI: 10.1016/j.saa.2022.121715] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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: 05/17/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
Early detection of breast cancer is of great value in improving the prognosis. The current detection methods of breast cancer have their own limitations. In this study, we investigated the feasibility of Fourier Transform Infrared (FT-IR) spectroscopy combined with different classification algorithms for the early detection of breast cancer in a large sample of 526 patients, including 308 invasive breast cancer, 101 ductal carcinoma in situ, and 117 healthy controls. The serum was measured with FT-IR spectroscopy. Kennard-Stone (KS) algorithm was used to divide the data into the training set and testing set. Support vector machine (SVM) model and back propagation neural network (BPNN) model were used to distinguish ductal carcinoma in situ, invasive breast cancer from healthy controls. The accuracies of the SVM model and BPNN model were 92.9% and 94.2%. To determine the effect of different material absorption bands on early detection, the band was divided into four parts including 900-1425 cm-1, 1475-1710 cm-1, 2800-3000 cm-1, and 3090-3700 cm-1, to be modeled and detected respectively. The final results showed that the ranges 900-1425 cm-1 and 1475-1710 cm-1 had superior classification accuracies. The region 900-1425 cm-1 corresponded to the lipids, proteins, sugar, and nucleic acids, and the region 1475-1710 cm-1 corresponded to the proteins. The biochemical substances in other bands also contributed some unique potential to the classification, so the classification accuracy was the best in the full band. The study indicates that serum FT-IR spectroscopy combined with SVM and BPNN models is an effective tool for the early detection of breast cancer.
Collapse
Affiliation(s)
- Yu Du
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Fei Xie
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China
| | - Longfei Yin
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Yang Yang
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China
| | - Houpu Yang
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China
| | - Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
| | - Shu Wang
- Department of Breast Center, Peking University People's Hospital, Beijing, 100044, China.
| |
Collapse
|
34
|
Fometu SS, Ma Q, Wang J, Guo J, Ma L, Wu G. Biological Effect Evaluation of Different Sized Titanium Dioxide Nanoparticles Using Bombyx mori (Silkworm) as a Model Animal. Biol Trace Elem Res 2022; 200:5260-5272. [PMID: 34997532 DOI: 10.1007/s12011-021-03086-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 12/23/2021] [Indexed: 11/02/2022]
Abstract
Titanium dioxide nanoparticles (TiO2 NPs) are widely used in various disciplines, and it is imperative to evaluate their safety in the environment. In this paper, Bombyx mori (silkworm) was used as a model organism to evaluate the biological effects of different sized TiO2 NPs, taking into consideration their effect on the larval growth, cocoon shell weight, tissues, and silk produced. The effect of the different sized TiO2 NPs on the larval and cocoon shell weight was dose-dependent. The highest accumulation of titanium (Ti) following a modified TiO2 NPs-treated mulberry diet was observed in the midgut. The expression of the light chain fibroin (FIBL) was three times higher in 0.33 g TiO2 NPs-treated silk gland after 96 h. X-ray diffraction (XRD) and Fourier transform infrared (FTIR) analysis demonstrated that TiO2 NPs-treated silk fiber (TiSF) exhibited a diminutive decrease in silk fiber (SF) crystallization and β-sheet compared to the control SF, respectively. The tensile tests of SF from silkworm fed with 0.03 g of 25 nm TiO2 NPs were significantly improved when compared to the control SF. Significant changes in the surface morphology and thermal stability of SF were observed. The antimicrobial activity of TiSF was investigated against Pseudomonas aeruginosa and Staphylococcus aureus, with ciprofloxacin-treated SF acting as a control. It was documented that 0.09 g of 60 nm TiSF was most effective against P. aeruginosa at a zone of inhibition (ZOI) of 21.06 mm when compared with the control SF which recorded a ZOI of 17.19 mm. This study highlighted a different approach in evaluating the biological effects of TiO2 NPs using the silkworm as a model and assessing their impact on the silk intrinsic property, which will be effective in biotechnology applications.
Collapse
Affiliation(s)
- Sandra Senyo Fometu
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, 212100, People's Republic of China
- Biofuels Institute, School of Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China
| | - Qiang Ma
- College of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212100, People's Republic of China
| | - JinJin Wang
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, 212100, People's Republic of China
| | - Jianjun Guo
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, 212100, People's Republic of China
- College of Agriculture, Anshun University, Anshun, 561000, People's Republic of China
| | - Lin Ma
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, 212100, People's Republic of China
| | - Guohua Wu
- College of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, 212100, People's Republic of China.
- College of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212100, People's Republic of China.
| |
Collapse
|
35
|
Hammarlund J, Li S, Wu G, Hogenesch J, Meng QJ, Anafi R. A Hybrid Experimental/Informatic Approach Identifies Rhythms and Targets in Breast Cancer. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.127] [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]
|
36
|
Zheng X, Wu G, Lv G, Yin L, Lv X. Rapid discrimination of hepatic echinococcosis patients' serum using vibrational spectroscopy combined with support vector machines. Photodiagnosis Photodyn Ther 2022; 40:103027. [PMID: 35882291 DOI: 10.1016/j.pdpdt.2022.103027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 06/22/2022] [Revised: 07/16/2022] [Accepted: 07/20/2022] [Indexed: 12/14/2022]
Abstract
Echinococcosis is a severe zoonotic parasitic disease, and it is continuing to be a significant public health issue. The course of the disease is usually slow, and patients often remain asymptomatic for years. There is no standardized and widely accepted treatment, so early and accurate diagnosis is essential. Herein, this study utilized vibrational spectroscopic techniques, namely Raman and Fourier Transform Infrared (FTIR) spectroscopy, to quickly and accurately distinguish hepatic echinococcosis (HE) patients' serum from the healthy group. Serum samples were collected from HE patients as well as healthy control subjects, and then the Raman and FTIR spectra of the two groups were recorded. After a series of pre-processing, support vector machines (SVMs) were then used to establish the classification models for the two spectral data sets. The performance of each diagnostic model was evaluated using leave-one-out cross-validation (LOOCV) and hold-out validation methods, respectively. For the distinction between HE and healthy groups, these two spectroscopic techniques had achieved satisfactory classification results, and the diagnostic capabilities of the Raman technique were comparable to that of the FTIR method. The results demonstrate that vibrational spectroscopy has great potential in the rapid and accurate detection of HE and is expected to make up for the shortcomings of the existing clinical diagnosis methods.
Collapse
Affiliation(s)
- Xiangxiang Zheng
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Guohua Wu
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
| | - Guodong Lv
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Longfei Yin
- School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
| | - Xiaoyi Lv
- School of Software, Xinjiang University, Urumqi 830091, China
| |
Collapse
|
37
|
Wu G, Li H, Chen S, Liu S(F, Zhang Y, Wang D. In-Depth Insight into the Effect of Hydrophilic-Hydrophobic Group Designing in Amidinium Salts for Perovskite Precursor Solution on Their Photovoltaic Performance. Nanomaterials (Basel) 2022; 12:3881. [PMID: 36364658 PMCID: PMC9656357 DOI: 10.3390/nano12213881] [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: 09/24/2022] [Revised: 10/25/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
Amidinium salts have been utilized in perovskite precursor solutions as additives to improve the quality of perovskite films. The design of hydrophilic or hydrophobic groups in amidinium salts is of great importance to photovoltaic device performance and stability in particular. Here we report a contrast study of a guanidinium iodide (GUI) additive with a hydrophilic NH2 group, and a N,1-diiodoformamidine (DIFA) additive with a hydrophobic C-I group, to investigate the group effect. The addition of GUI or DIFA was beneficial to achieve high quality perovskite film and superior photovoltaic device performance. Compared with GUI, the addition of the DIFA in a perovskite precursor solution enhanced the crystal quality, reduced the defect density, and protected the water penetration into perovskite film. The perovskite solar cell (PSC) devices showed the best power conversion efficiency (PCE) of 21.19% for those modified with DIFA, as compared to 18.85% for the control, and 20.85% for those modified with GUI. In benefit to the hydrophobic C-I group, the DIFA-modified perovskite films and PSC exhibited the best light stability, thermal stability, and humidity stability in comparison to the control films and GUI-modified films. Overall, the introduction of a hydrophobic group in the amidinium salts additive was demonstrated to be an efficient approach to achieve high quality and stable perovskite film and PSC devices.
Collapse
Affiliation(s)
- Guohua Wu
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin 150001, China
- Key Laboratory of Applied Surface and Colloid Chemistry, National Ministry of Education, Shaanxi Key Laboratory for Advanced Energy Devices, Shaanxi Engineering Laboratory for Advanced Energy Technology, School of Materials Science and Engineering, Shaanxi Normal University, Xi’an 710119, China
| | - Hua Li
- Department of Engineering Science, Faculty of Informatics and Engineering, The University of Electro-Communications, Chofu, Tokyo 182-8585, Japan
| | - Shuai Chen
- Key Laboratory of Applied Surface and Colloid Chemistry, National Ministry of Education, Shaanxi Key Laboratory for Advanced Energy Devices, Shaanxi Engineering Laboratory for Advanced Energy Technology, School of Materials Science and Engineering, Shaanxi Normal University, Xi’an 710119, China
| | - Shengzhong (Frank) Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, National Ministry of Education, Shaanxi Key Laboratory for Advanced Energy Devices, Shaanxi Engineering Laboratory for Advanced Energy Technology, School of Materials Science and Engineering, Shaanxi Normal University, Xi’an 710119, China
| | - Yaohong Zhang
- School of Physics, Northwest University, Xi’an 710127, China
- Shaanxi Key Laboratory for Carbon Neutral Technology, Xi’an 710127, China
| | - Dapeng Wang
- Key Laboratory of Applied Surface and Colloid Chemistry, National Ministry of Education, Shaanxi Key Laboratory for Advanced Energy Devices, Shaanxi Engineering Laboratory for Advanced Energy Technology, School of Materials Science and Engineering, Shaanxi Normal University, Xi’an 710119, China
| |
Collapse
|
38
|
Guan X, Guan Z, Welch J, Wu G. Novel Techniques for Deeply Infiltrated Endometriosis in the Rectum and Parametrium Via Robotic Notes. J Minim Invasive Gynecol 2022. [DOI: 10.1016/j.jmig.2022.09.219] [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: 11/25/2022]
|
39
|
Zhang X, Wu YL, Chen Y, Zhang H, Wu G, Lu Y, Liang Z, Hu Y, Cheng Y, Wang J, Ying J, Liu W, Liang Z. 266P Dynamic mutation profiles of Chinese patients with EGFR T790M advanced NSCLC receiving osimertinib. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.294] [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: 12/05/2022] Open
|
40
|
Yang Z, Gao J, Zhang X, Wu G, Deng W, Liu Y, Zhang J, Chen G, Xu R, Han J, Li A, Liu G, Sun Y, Kong D, Bai Z, Yao H, Zhang Z. 47P Safety and efficacy evaluation of long-course neoadjuvant chemoradiotherapy plus tislelizumab followed by total mesorectal excision for locally advanced rectal cancer: Intermediate results of a multicenter, phase II study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.079] [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: 12/05/2022] Open
|
41
|
Yan XQ, Wu G, Liu S, Liu JH, Wang PF, Zhang RC. [Application of branch-first technique in total thoracic aorta replacement: short and medium term effect of 11 cases]. Zhonghua Wai Ke Za Zhi 2022; 60:1018-1022. [PMID: 36323585 DOI: 10.3760/cma.j.cn112139-20211216-00606] [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 examine the short and medium term effect of branch-first technique in total thoracic aorta replacement. Methods: The clinical data of eleven patients with ascending aortic aneurysms or type A aortic dissection+Crawford Ⅰ or Ⅱ total thoracoabdominal aortic aneurysm who were treated at Department of Cardiovascular Surgery in Henan Province Chest Hospital from January 2018 to July 2021 were retrospectively analyzed. There were 7 males and 4 females, aging (38±5) years (range: 28 to 45 years), 7 cases of whom were diagnosed with Marfan syndrome, 1 case was diagnosed with coarctation of aorta. Operations were performed under mild hypothermic and branch-first technique. Firstly, the middle and small incision in the chest was combined with the 6th intercostal incision in the left posterior lateral side. Secondly, four branches artificial blood vessels were anastomosed with the brachiocephalic artery to ensure the blood supply to the brain. After the circulation was blocked, intracardiac and aortic proximal operations were performed. Intercostal artery reconstruction and thoracic descending aorta replacement were completed after opening circulation. Results: The operative time of this group was (645.9±91.7) minutes (range: 505 to 840 minutes). One case had cerebral infarction and 1 case had chylothorax. The patients were followed up 4 to 47 months, 1 patient underwent thoracic and abdominal aorta+iliac artery resection and replacement due to the progression of abdominal aortic aneurysm 3 months after operation. Intercostal artery obstruction occurred in 2 cases, and the rest lived well. Conclusions: One-stage whole thoracic aorta replacement with branch-first technique has satisfactory results in the short and medium term, with no risk of residual aortic aneurysm rupture. It is an effective treatment for young and organs function well patients with complex aortic lesions.
Collapse
Affiliation(s)
- X Q Yan
- Department of Cardiovascular Surgery, Henan Province Chest Hospital, Zhengzhou 450003, China
| | - G Wu
- Department of Cardiovascular Surgery, Henan Province Chest Hospital, Zhengzhou 450003, China
| | - S Liu
- Department of Cardiovascular Surgery, Henan Province Chest Hospital, Zhengzhou 450003, China
| | - J H Liu
- Department of Cardiovascular Surgery, Henan Province Chest Hospital, Zhengzhou 450003, China
| | - P F Wang
- Department of Cardiovascular Surgery, Henan Province Chest Hospital, Zhengzhou 450003, China
| | - R C Zhang
- Department of Cardiovascular Surgery, Henan Province Chest Hospital, Zhengzhou 450003, China
| |
Collapse
|
42
|
Li Q, Zheng X, Shen X, Ding S, Feng H, Wu G, Zhang Y. Optimizing the Synthetic Conditions of "Green" Colloidal AgBiS 2 Nanocrystals Using a Low-Cost Sulfur Source. Nanomaterials (Basel) 2022; 12:3742. [PMID: 36364517 PMCID: PMC9654632 DOI: 10.3390/nano12213742] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/21/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Colloidal AgBiS2 nanocrystals (NCs) have attracted increasing attention as a near-infrared absorbent materials with non-toxic elements and a high absorption coefficient. In recent years, colloidal AgBiS2 NCs have typically been synthesized via the hot injection method using hexamethyldisilathiane (TMS) as the sulfur source. However, the cost of TMS is one of the biggest obstacles to large-scale synthesis of colloidal AgBiS2 NCs. Herein, we synthesized colloidal AgBiS2 NCs using oleylamine@sulfur (OLA-S) solution as the sulfur source instead of TMS and optimized the synthesis conditions of colloidal AgBiS2 NCs. By controlling the reaction injection temperature and the dosage of OLA-S, colloidal AgBiS2 NCs with adjustable size can be synthesized. Compared with TMS-based colloidal AgBiS2 NCs, the colloidal AgBiS2 NCs based on OLA-S has good crystallinity and fewer defects.
Collapse
Affiliation(s)
- Qiao Li
- School of Physics, Northwest University, Xi’an 710127, China
| | - Xiaosong Zheng
- School of Physics, Northwest University, Xi’an 710127, China
| | - Xiaoyu Shen
- School of Physics, Northwest University, Xi’an 710127, China
| | - Shuai Ding
- School of Physics, Northwest University, Xi’an 710127, China
| | - Hongjian Feng
- School of Physics, Northwest University, Xi’an 710127, China
| | - Guohua Wu
- Qingdao Innovation and Development Base of Harbin Engineering University, Harbin Engineering University, Harbin 150001, China
| | - Yaohong Zhang
- School of Physics, Northwest University, Xi’an 710127, China
- Shaanxi Key Laboratory for Carbon Neutral Technology, Xi’an 710127, China
| |
Collapse
|
43
|
Wu W, Zeng H, Zhang W, Zhang W, Jiang H, Wu G, Li Z, Wang X, Huang Y, Lei Z. Aqueous in‐situ electrosynthesis and electrochromic performance of
PEDOT
:
PSS
/Reline film. J Appl Polym Sci 2022. [DOI: 10.1002/app.53211] [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] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Wei Wu
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
| | - Hailan Zeng
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
| | - Weiran Zhang
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
| | - Weili Zhang
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
| | - Haiyun Jiang
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
- National & Local Joint Engineering Research Center for Advanced Packaging Material and Technology Zhuzhou Hunan China
| | - Guohua Wu
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
| | - Ziyu Li
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
| | - Xiang Wang
- School of Packaging and Materials Engineering Hunan University of Technology Zhuzhou Hunan China
| | - Yiyang Huang
- Shenzhen Glareway Technology Co., Ltd Shenzhen Guangdong China
| | - Zhiyong Lei
- Shenzhen Glareway Technology Co., Ltd Shenzhen Guangdong China
| |
Collapse
|
44
|
Yin L, Qian D, Geng Z, Zhan H, Wu G. Using FADOF to eliminate the background light influence in ghost imaging. Opt Express 2022; 30:36297-36306. [PMID: 36258561 DOI: 10.1364/oe.468274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/07/2022] [Indexed: 06/16/2023]
Abstract
The high solar background during the day adversely affects the long distance daytime operations of ghost imaging. It is extremely hard to distinguish the signal light from the background noise light after they are both converted to voltage or current signals by the bucket detector, so spectral filtering before the detector is quite important. In this work, a Faraday anomalous dispersion optical filter (FADOF) is used in eliminating the background light influence in ghost imaging. Results of lab experiment show that the background light noise tolerance of the ghost imaging with FADOF is at least 18 times bigger than that with a 10 nm optical filter. The method has simple structure, great performance and great algorithms compatibility.
Collapse
|
45
|
Zhang J, Hou Q, Ma W, Chen D, Zhang W, Wubshet AK, Ding Y, Li M, Li Q, Chen J, Dai J, Wu G, Zhang Z, Zaberezhny AD, Pejsak Z, Tarasiuk K, Zafar Khan MU, Wang Y, He J, Liu Y. A Naked-Eye Visual Reverse Transcription Loop-Mediated Isothermal Amplification with Sharp Color Changes for Potential Pen-Side Test of Foot-and-Mouth Disease Virus. Viruses 2022; 14:v14091982. [PMID: 36146788 PMCID: PMC9504329 DOI: 10.3390/v14091982] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/28/2022] [Accepted: 08/30/2022] [Indexed: 11/17/2022] Open
Abstract
Visual loop-mediated isothermal amplification (LAMP) is qualified to be applied in the field to detect pathogens due to its simplicity, rapidity and cost saving. However, the color changes in currently reported visual reverse transcription LAMP (RT-LAMP) for foot-and-mouth disease virus (FMDV) detection are not so obvious to the naked eye, so interpretation of results is troublesome. In this study, a new naked-eye visual RT-LAMP to detect all seven distinct serotypes of FMDV was established based on the 3D genes by using pH-sensitive neutral red as the indicator, rendering a sharp contrast of color changes between the negative (light orange) and the positive (pink). Analytical sensitivity tests showed that the detection limit of the visual RT-LAMP was 104 copies/µL while those were 103 and 104 copies/µL for the RT-qPCR and conventional RT-PCR methods, respectively. Specificity tests proved that the established visual RT-LAMP assay had no cross-reactivity with other common livestock viruses. Furthermore, the analysis of 59 clinical samples showed 98.31% and 100% concordance with the RT-qPCR and the RT-PCR, respectively. The pan-serotypic FMD visual RT-LAMP assay could be suitable for a pen-side test of all seven serotypes of FMDV because the results could be easily distinguished by the naked eye without the requirement of complicated instruments and professional technicians. Hence, the novel method may have a promising prospect in field tests which exert an important role in monitoring, preventing, and controlling FMD, especially in regions with no PCR or qPCR instrument available.
Collapse
Affiliation(s)
- Jie Zhang
- Hebei Key Laboratory of Preventive Veterinary Medicine, College of Animal Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao 066004, China
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Qian Hou
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Weimin Ma
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Danian Chen
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Weibing Zhang
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Ashenafi Kiros Wubshet
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Yaozhong Ding
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Miaomiao Li
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Qian Li
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Jiao Chen
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Junfei Dai
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Guohua Wu
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Ziteng Zhang
- Hebei Key Laboratory of Preventive Veterinary Medicine, College of Animal Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao 066004, China
| | - Alexei D. Zaberezhny
- Federal State Budgetary Institution, All-Russian Research and Technological Institute of Biological Industry (VNITIBP), Moscow 141142, Russia
| | - Zygmunt Pejsak
- Department of Infectious and Parasitic Diseases, University Center of Veterinary Medicine Jagiellonian University—Agriculture Universities, 31-120 Krakow, Poland
| | - Kazimierz Tarasiuk
- Department of Infectious and Parasitic Diseases, University Center of Veterinary Medicine Jagiellonian University—Agriculture Universities, 31-120 Krakow, Poland
| | | | - Yang Wang
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
| | - Jijun He
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
- Correspondence: (J.H.); (Y.L.)
| | - Yongsheng Liu
- Hebei Key Laboratory of Preventive Veterinary Medicine, College of Animal Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao 066004, China
- Correspondence: (J.H.); (Y.L.)
| |
Collapse
|
46
|
Tom MC, DiFilippo F, Smile T, Jones SE, Suh JH, Murphy ES, Yu JS, Mohammadi AM, Barnett GH, Angelov L, Huang SS, Wu G, Johnson S, Obuchowski N, Ahluwalia M, Peereboom D, Stevens G, Chao S. P15.11.A 18F-Fluciclovine PET/CT to distinguish radiation necrosis from tumour progression in brain metastases treated with stereotactic radiosurgery: results of a prospective pilot study. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.301] [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: 11/14/2022] Open
Abstract
Abstract
Background
Amino acid PET radiopharmaceutical, 18F-fluciclovine, shows increased uptake in brain tumors relative to normal tissue and may be a useful tool for detecting recurrent brain metastases. Here, we report results from a prospective pilot study evaluating the use of 18F-fluciclovine PET/CT to distinguish radiation necrosis from tumour progression among patients with brain metastases treated with stereotactic radiosurgery (SRS).
Material and Methods
The primary objective was to estimate the accuracy of 18F-fluciclovine PET/CT in distinguishing radiation necrosis from tumour progression. The trial included adults with brain metastases who underwent SRS and presented with a follow up MRI brain (with DSC MR perfusion) which was equivocal for radiation necrosis versus tumour progression. Within 30 days of equivocal MRI brain, patients underwent an 18F-fluciclovine PET/CT (Siemens mCT) acquired 5-15 min post-injection with images generated by PSF reconstruction. Quantitative metrics for each lesion were documented and lesion to normal brain SUVmean ratios were calculated. The reference standard for diagnosis of radiation necrosis vs tumour progression was clinical follow up with MRI brain every 2-4 months until multidisciplinary consensus or tissue confirmation.
Results
Of 16 patients enrolled between 7/2019-11/2020, 1 patient died prior to diagnosis, allowing 15 evaluable subjects with 20 lesions. Primary histology was NSCLC in 9 (45%) lesions, breast in 7 (35%), melanoma in 3 (15%), and endometrial in 1 (5%). The final diagnosis was radiation necrosis in 16 (80%) lesions and tumour progression in 4 (20%). SUVmax was a statistically significant predictor of tumour progression (P = 0.011), with higher SUVmax values indicative of tumour progression. The area under the ROC curve was 0.833 (95% CI: 0.590, 1.0). A cutoff of 4.3 provided a sensitivity to identify tumour progression of 1.0 (4/4) and specificity to rule out tumour progression of 0.63 (10/16). SUVmean (P = 0.018), SUVpeak (P = 0.007), and SUVpeak/normal (P = 0.002) also reached statistical significance as predictors of tumour progression, with higher SUVmax values indicative of tumour progression. SUVmax/normal (P = 0.1) and SUVmean/normal (P = 0.5) were not statistically significant. The AUC for SUVmax was not significantly higher than the AUCs for the other quantitative variables (P-values > 0.2).
Conclusion
In this prospective pilot study, 18F Fluciclovine PET/CT demonstrated promising accuracy to distinguish radiation necrosis from tumour progression among patients with brain metastases previously treated with SRS. Using SUVmax, a cutpoint of 4.3 provided a sensitivity of 1.0 and specificity of 0.63. Confirmatory phase II and III studies are ongoing.
Collapse
Affiliation(s)
- M C Tom
- Baptist Health South Florida , Miami, FL , United States
| | - F DiFilippo
- Cleveland Clinic , Cleveland, OH , United States
| | - T Smile
- Cleveland Clinic , Cleveland, OH , United States
| | - S E Jones
- Cleveland Clinic , Cleveland, OH , United States
| | - J H Suh
- Cleveland Clinic , Cleveland, OH , United States
| | - E S Murphy
- Cleveland Clinic , Cleveland, OH , United States
| | - J S Yu
- Cleveland Clinic , Cleveland, OH , United States
| | | | - G H Barnett
- Cleveland Clinic , Cleveland, OH , United States
| | - L Angelov
- Cleveland Clinic , Cleveland, OH , United States
| | - S S Huang
- Cleveland Clinic , Cleveland, OH , United States
| | - G Wu
- Cleveland Clinic , Cleveland, OH , United States
| | - S Johnson
- Cleveland Clinic , Cleveland, OH , United States
| | - N Obuchowski
- Cleveland Clinic , Cleveland, OH , United States
| | - M Ahluwalia
- Baptist Health South Florida , Miami, FL , United States
| | - D Peereboom
- Cleveland Clinic , Cleveland, OH , United States
| | - G Stevens
- Cleveland Clinic , Cleveland, OH , United States
| | - S Chao
- Cleveland Clinic , Cleveland, OH , United States
| |
Collapse
|
47
|
Lv D, Wu G, Lin L, Yan S, Wu X, Pan W, Huang J, Gao Z, Gu Q, Li H, Chen Q, Lin W. EP14.01-016 Anlotinib Plus Toripalimab as Maintenance Treatment in Extensive-Stage Small Cell Lung Cancer: a Single-Arm Phase II Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.952] [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: 11/26/2022]
|
48
|
Zhou Q, Zhang HL, Jiang LY, Shi YK, Chen Y, Yu JM, Zhou CC, He Y, Hu YP, Liang ZA, Pan YY, Zhuo WL, Song Y, Wu G, Chen GY, Lu Y, Zhang CY, Zhang CY, Zhang YP, Chen Y, Lu S, Wu YL. EP08.02-064 ASTRIS China: A Real-world Study of Osimertinib in Patients with EGFR T790M Positive Non-small-cell Lung Cancer (NSCLC). J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.746] [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: 10/14/2022]
|
49
|
Zhang B, Wu G, Zhang B. Retraction notice to Modular monomers with adjustable solubility: Synthesis of block copolymers for improved photocatalysis by RAFT for the synthesis of atomic nickel co-catalysts Molecular Catalysis 513 August 2021 111834. Molecular Catalysis 2022. [DOI: 10.1016/j.mcat.2022.112615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
50
|
Lu S, Zhang Y, Zhang G, Zhou J, Cang S, Cheng Y, Wu G, Cao P, Lv D, Jian H, Chen C, Jin X, Tian P, Wang K, Jiang G, Chen G, Chen Q, Zhao H, Ding C, Guo R, Sun G, Wang B, Jiang L, Liu Z, Fang J, Yang J, Zhuang W, Liu Y, Zhang J, Pan Y, Chen J, Yu Q, Zhao M, Cui J, Li D, Yi T, Yu Z, Yang Y, Zhang Y, Zhi X, Huang Y, Wu R, Chen L, Zang A, Cao L, Li Q, Li X, Song Y, Wang D, Zhang S. EP08.02-139 A Phase 2 Study of Befotertinib in Patients with EGFR T790M Mutated NSCLC after Prior EGFR TKIs. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.822] [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: 10/14/2022]
|