1
|
Chen Y, Chen B, Dong J, Yang D, Tang H, Wen L, Li J, Huang L, Zhou J. A tough and bioadhesive injectable hydrogel formed with maleimidyl alginate and pristine gelatin. Carbohydr Polym 2024; 334:122011. [PMID: 38553212 DOI: 10.1016/j.carbpol.2024.122011] [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] [Received: 11/17/2023] [Revised: 02/01/2024] [Accepted: 02/29/2024] [Indexed: 04/02/2024]
Abstract
Injectable hydrogels have wide applications in clinical practice. However, the development of tough and bioadhesive ones based on biopolymers, along with biofriendly and robust crosslinking strategies, still represents a great challenge. Herein, we report an injectable hydrogel composed of maleimidyl alginate and pristine gelatin, for which the precursor solutions could self-crosslink via mild Michael-type addition without any catalyst or external energy upon mixing. This hydrogel is tough and bioadhesive, which can maintain intactness as well as adherence to the defect of porcine skin under fierce bending and twisting, warm water bath, and boiling water shower. Besides, it is biocompatible, bioactive and biodegradable, which could support the growth and remodeling of cells by affording an extracellular matrix-like environment. As a proof of application, we demonstrate that this hydrogel could significantly accelerate diabetic skin wound healing, thereby holding great potential in healthcare.
Collapse
Affiliation(s)
- Yin Chen
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Baiqi Chen
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Jianpei Dong
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Deyu Yang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Hao Tang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Lan Wen
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jianshu Li
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou 511436, China; College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Lu Huang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Jianhua Zhou
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| |
Collapse
|
2
|
Han Y, Sha H, Yang Y, Yu Z, Zhou L, Wang Y, Yang F, Qiu L, Zhang Y, Zhou J. Mutations in the NUP93, NUP107 and NUP160 genes cause steroid-resistant nephrotic syndrome in Chinese children. Ital J Pediatr 2024; 50:81. [PMID: 38650033 PMCID: PMC11036785 DOI: 10.1186/s13052-024-01656-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 04/07/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The variants of nucleoporins are extremely rare in hereditary steroid-resistant nephrotic syndrome (SRNS). Most of the patients carrying such variants progress to end stage kidney disease (ESKD) in their childhood. More clinical and genetic data from these patients are needed to characterize their genotype-phenotype relationships and elucidate the role of nucleoporins in SRNS. METHODS Four patients of SRNS carrying biallelic variants in the NUP93, NUP107 and NUP160 genes were presented. The clinical and molecular genetic characteristics of these patients were summarized, and relevant literature was reviewed. RESULTS All four patients in this study were female and initially presented with SRNS. The median age at the onset of the disease was 5.08 years, ranging from 1 to 10.5 years. Among the four patients, three progressed to ESKD at a median age of 7 years, ranging from 1.5 to 10.5 years, while one patient reached stage 3 chronic kidney disease (CKD3). Kidney biopsies revealed focal segmental glomerulosclerosis in three patients. Biallelic variants were detected in NUP93 in one patient, NUP107 in two patients, as well as NUP160 in one patient respectively. Among these variants, five yielded single amino acid substitutions, one led to nonsense mutation causing premature termination of NUP107 translation, one caused a single nucleotide deletion resulting in frameshift and truncation of NUP107. Furthermore, one splicing donor mutation was observed in NUP160. None of these variants had been reported previously. CONCLUSION This report indicates that biallelic variants in NUP93, NUP107 and NUP160 can cause severe early-onset SRNS, which rapidly progresses to ESKD. Moreover, these findings expand the spectrum of phenotypes and genotypes and highlight the importance of next-generation sequencing in elucidating the molecular basis of SRNS and allowing rational treatment for affected individuals.
Collapse
Affiliation(s)
- Yanxinli Han
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Hongyu Sha
- Department of Pharmacy, Yantai Yuhuangding Hospital, Yantai, Shandong Province, 264000, China
| | - Yuan Yang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Zhuowei Yu
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Lanqi Zhou
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Yi Wang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Fengjie Yang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Liru Qiu
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Yu Zhang
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China
| | - Jianhua Zhou
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei province, 430030, China.
| |
Collapse
|
3
|
Li J, Mu X, Zhou J, Zhu S, Gao Y, Wang X, Chen JL, Miao L. Mussel-Inspired Self-Adhesive and Tough Hydrogels for Effectively Cooling Solar Cells and Thermoelectric Generators. ACS Appl Mater Interfaces 2024; 16:18898-18907. [PMID: 38588524 DOI: 10.1021/acsami.4c00710] [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: 04/10/2024]
Abstract
Adhesive hydrogel-based evaporative cooling, which necessitates no electricity input, holds promise for reducing energy consumption in thermal management. Herein, inspired by the surface attachment of mussel adhesive proteins via abundant dynamic covalent bonds and noncovalent interactions, we propose a facile strategy to fabricate a self-adhesive cooling hydrogel (Li-AA-TA-PAM) using a copolymer of acrylamide (AM) and acrylic acid (AA) as the primary framework. The monomers formed hydrogen bonds between their carboxyl and amide groups, while tannic acid (TA), rich in catechol groups, enhances the adhesion of the hydrogel through hydrogen bonding. The hydrogel demonstrated strong adhesion to various material surfaces, including plastic, ceramic, glass, and metal. Even under high-speed rotation, it still maintains robust adhesion. The adhesion strength of the Li-AA-TA-PAM hydrogel to aluminum foil reached an impressive value of 296.875 kPa. Interestingly, the excellent contact caused by robust adhesion accelerates heat transfer, resulting in a rapid cooling performance, which mimics the perspiration of mammals. Lithium bromide (LiBr) with hydroactively sorptive sites is introduced to enhance sorption kinetics, thereby extending the effective cooling period. Consequently, the operation temperature of commercial polycrystalline silicon solar cells was reduced by 16 °C under an illumination of 1 kW m-2, and the corresponding efficiency of energy conversion was increased by 1.14%, thereby enhancing the output properties and life span of solar cells. The strategy demonstrates the potential for refrigeration applications using viscous gels.
Collapse
Affiliation(s)
- Jialing Li
- Guangxi Key Laboratory of Information Materials, School of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Xiaojiang Mu
- Guangxi Key Laboratory for Relativity Astrophysics, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science and Technology, Guangxi University, Nanning 530004, China
| | - Jianhua Zhou
- Guangxi Key Laboratory of Information Materials, School of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Sijing Zhu
- Guangxi Key Laboratory of Information Materials, School of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Yangfan Gao
- Guangxi Key Laboratory of Information Materials, School of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Xiaoyang Wang
- Guangxi Key Laboratory for Relativity Astrophysics, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science and Technology, Guangxi University, Nanning 530004, China
| | - Jun-Liang Chen
- Guangxi Key Laboratory of Information Materials, School of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Lei Miao
- Guangxi Key Laboratory for Relativity Astrophysics, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science and Technology, Guangxi University, Nanning 530004, China
| |
Collapse
|
4
|
Su B, Jiang Y, Li Z, Zhou J, Rong L, Feng S, Zhong F, Sun S, Zhang D, Xia Z, Feng C, Huang W, Li X, Chen C, Hao Z, Wang M, Qin L, Chen M, Li Y, Ding J, Bao Y, Liu X, Deng F, Cheng X, Zhang L, Zhang X, Yang H, Peng X, Sun Q, Deng L, Jiang X, Xie M, Gao Y, Yu L, Liu L, Gao C, Mao J, Zheng W, Dang X, Xia H, Wang Y, Zhong X, Ding J, Lv J, Zhang H. Are children with IgA nephropathy different from adult patients? Pediatr Nephrol 2024:10.1007/s00467-024-06361-1. [PMID: 38578470 DOI: 10.1007/s00467-024-06361-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/14/2024] [Accepted: 03/24/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Previously, several studies have indicated that pediatric IgA nephropathy (IgAN) might be different from adult IgAN, and treatment strategies might be also different between pediatric IgAN and adult IgAN. METHODS We analyzed two prospective cohorts established by pediatric and adult nephrologists, respectively. A comprehensive analysis was performed investigating the difference in clinical and pathological characteristics, treatment, and prognosis between children and adults with IgAN. RESULTS A total of 1015 children and 1911 adults with IgAN were eligible for analysis. More frequent gross hematuria (88% vs. 20%, p < 0.0001) and higher proteinuria (1.8 vs. 1.3 g/d, p < 0.0001) were seen in children compared to adults. In comparison, the estimated glomerular filtration rate (eGFR) was lower in adults (80.4 vs. 163 ml/min/1.73 m2, p < 0.0001). Hypertension was more prevalent in adult patients. Pathologically, a higher proportion of M1 was revealed (62% vs. 39%, p < 0.0001) in children than in adults. S1 (62% vs. 28%, p < 0.0001) and T1-2 (34% vs. 8%, p < 0.0001) were more frequent in adults. Adjusted by proteinuria, eGFR, and hypertension, children were more likely to be treated with glucocorticoids than adults (87% vs. 45%, p < 0.0001). After propensity score matching, in IgAN with proteinuria > 1 g/d, children treated with steroids were 1.87 (95% CI 1.16-3.02, p = 0.01) times more likely to reach complete remission of proteinuria compared with adults treated with steroids. CONCLUSIONS Children present significantly differently from adults with IgAN in clinical and pathological manifestations and disease progression. Steroid response might be better in children.
Collapse
Affiliation(s)
- Baige Su
- Department of Pediatric Nephrology, Peking University First Hospital, No. 1 Xi An Men Da Jie, Beijing, 100034, People's Republic of China
| | - Yuanyuan Jiang
- Renal Division, Peking University First Hospital, No.8 Xi Shi Ku Da Jie, Beijing, 100034, People's Republic of China
- Department of Nephrology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Zhihui Li
- Department of Nephrology, Rheumatology and Immunology, Hunan Children's Hospital, Changsha, Hunan, China
| | - Jianhua Zhou
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, Hubei Province, China
| | - Liping Rong
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Shipin Feng
- Department of Pediatric Nephrology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Fazhan Zhong
- Pediatric Nephrology Department, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Shuzhen Sun
- Department of Pediatric Nephrology and Rheumatism and Immunology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, China
| | - Dongfeng Zhang
- Nephrology and Immunology Department, Children's Hospital of Hebei Province, Shijiazhuang, Hebei Province, China
| | - Zhengkun Xia
- Department of Pediatrics, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Chunyue Feng
- Department of Nephrology, Children Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Wenyan Huang
- Department of Nephrology and Rheumatology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyan Li
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chaoying Chen
- Department of Nephrology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China
| | - Zhihong Hao
- Department of Pediatric, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China
| | - Mo Wang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Li Qin
- Department of Pediatrics, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming Science and Technology University, Kunming, China
| | - Minguang Chen
- Department of Pediatric Nephrology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yuanyuan Li
- Department of Pediatrics, Fuzong Clinical Medical College, Fujian Medical University, Fuzhou, 350025, China
- Department of Nephrology, Rheumatology and Immunology, Fujian Children's Hospital, Fuzhou, 350014, China
| | - Juanjuan Ding
- Department of Pediatric Nephrology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430016, Hubei, China
| | - Ying Bao
- Department of Nephrology, Xi'an Children's Hospital, Xian, Shaanxi, China
| | - Xiaorong Liu
- Department of Pediatric Nephrology, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Fang Deng
- Department of Nephrology, Anhui Provincial Children's Hospital, Hefei, China
| | - Xueqin Cheng
- Department of Nephrology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Department of Pediatric Nephrology, The First Hospital of Jilin University, Changchun, China
| | - Xuan Zhang
- Department of General Medicine, Tianjin Children's Hospital, Tianjin, China
| | - Huandan Yang
- Department of Nephrology, Xuzhou Children's Hospital, Xuzhou Medical University, Xuzhou, China
| | - Xiaojie Peng
- Department of Nephrology, Jiangxi Provincial Children's Hospital, Nanchang, 330006, China
| | - Qianliang Sun
- Department of Nephrology, Rheumatology and Immunology, Hunan Children's Hospital, Changsha, Hunan, China
| | - Linxia Deng
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, Hubei Province, China
| | - Xiaoyun Jiang
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Min Xie
- Department of Pediatric Nephrology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yan Gao
- Pediatric Nephrology Department, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Lichun Yu
- Department of Pediatric Nephrology and Rheumatism and Immunology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, China
| | - Ling Liu
- Nephrology and Immunology Department, Children's Hospital of Hebei Province, Shijiazhuang, Hebei Province, China
| | - Chunlin Gao
- Department of Pediatrics, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jianhua Mao
- Department of Nephrology, Children Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Weihua Zheng
- Department of Nephrology and Rheumatology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiqiang Dang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Hua Xia
- Department of Nephrology, Children's Hospital Affiliated to Capital Institute of Pediatrics, Beijing, China
| | - Yujie Wang
- Medical Data Science Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Xuhui Zhong
- Department of Pediatric Nephrology, Peking University First Hospital, No. 1 Xi An Men Da Jie, Beijing, 100034, People's Republic of China.
| | - Jie Ding
- Department of Pediatric Nephrology, Peking University First Hospital, No. 1 Xi An Men Da Jie, Beijing, 100034, People's Republic of China.
| | - Jicheng Lv
- Renal Division, Peking University First Hospital, No.8 Xi Shi Ku Da Jie, Beijing, 100034, People's Republic of China.
| | - Hong Zhang
- Renal Division, Peking University First Hospital, No.8 Xi Shi Ku Da Jie, Beijing, 100034, People's Republic of China
| |
Collapse
|
5
|
Zhou J, Gong X, Li X. Longitudinal relations between teacher support and academic achievement among Chinese children: Disentangling between‑ and within-student associations. J Sch Psychol 2024; 103:101287. [PMID: 38432726 DOI: 10.1016/j.jsp.2024.101287] [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] [Received: 06/21/2022] [Revised: 06/26/2023] [Accepted: 01/20/2024] [Indexed: 03/05/2024]
Abstract
This study investigated the longitudinal associations between teacher support (i.e., emotional and instrumental support) and academic (i.e., math) achievement at the between-student and within-student levels using random intercept cross-lagged panel models (RI-CLPMs). Data were collected from 694 elementary school students in China (44.9% girls; Mage = 10.53 years, SD = 0.70) over four waves across 2 school years. Results from the RI-CLPMs supported that higher academic achievement was significantly associated with higher teacher emotional and instrumental support at the between-student level. At the within-student level, the RI-CLPMs only supported the predictive effect of academic achievement on teacher instrumental support, but not emotional support. Further analysis utilizing cross-lagged panel models (CLPMs) demonstrated significant reciprocal effects between teacher emotional support and academic achievement, as well as instrumental support and academic achievement. No significant sex differences were observed in RI-CLPMs or CLPMs. The findings illustrate the importance of distinguishing the between-student and within-student associations in longitudinal relations concerning teacher support and academic achievement.
Collapse
Affiliation(s)
- Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xue Gong
- Department of Psychology, Normal College, Qingdao University, Qingdao, China.
| | - Xiaofei Li
- Faculty of Education, University of Macau, Macau, China
| |
Collapse
|
6
|
Gao J, Jiao Y, Zhou J, Zhang H. Rapid detection of Salmonella typhimurium by photonic PCR-LFIS dual mode visualization. Talanta 2024; 270:125553. [PMID: 38128283 DOI: 10.1016/j.talanta.2023.125553] [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] [Received: 09/13/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
Salmonella spp., as one of the foodborne pathogens, is a severe threat to global public health. Rapid screening of salmonella spp. in contaminated food with low infective doses is the key to preventing food poisoning. In this study, a fast visualization method for detecting Salmonella typhimurium (S. typhimurium) was developed based on photonic PCR and AuNPs lateral-flow immunochromatography strip (LFIS). In addition, quantitative detection of target bacteria could be achieved by utilizing the photothermal effect of AuNPs, and the sensitivity could be improved by amplifying the photothermal signal. On the optimized conditions, the developed photonic PCR-LFIS assay was highly sensitive, with a detection limit as low as 19 cfu mL-1 of bacteria in pure culture after laser irradiation, and highly specific, exhibiting no cross-reaction with Salmonella enteritidis, Listeria monocytogenes, Escherichia coli, and Staphylococcus aureus. Notably, S. typhimurium could be detected in pork, egg white, and milk without pre-treatment, with the recovery rates of the three samples between 81 % and 109 %. In conclusion, the photonic PCR-LFIS assay realizes sensitive, simple, and rapid detection of S. typhimurium.
Collapse
Affiliation(s)
- Jianxin Gao
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China
| | - Yuru Jiao
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China
| | - Jianhua Zhou
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
| | - Hongyan Zhang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Science, Shandong Normal University, Jinan, 250014, PR China.
| |
Collapse
|
7
|
Ye X, Yang J, Hu C, Dong J, Tang H, Zhou B, Wen B, Xiao Z, Zhu M, Cai J, Zhou J. Multi-biomarker combination detection system for diagnosis and classification of dry eye disease by imaging of a multi-channel metasurface. Biosens Bioelectron 2024; 248:115933. [PMID: 38171220 DOI: 10.1016/j.bios.2023.115933] [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] [Received: 10/07/2023] [Revised: 11/30/2023] [Accepted: 12/13/2023] [Indexed: 01/05/2024]
Abstract
Dry eye disease (DED) is one of the most common ocular surface diseases, characterized by unstable tear film and ocular inflammation, affecting hundreds of millions of people worldwide. Currently, the clinical diagnosis of DED mainly relies on physical methods such as optical microscopy and ocular surface interferometric imaging, but classifying DED is still difficult. Here, we propose a compact and portable immune detection system based on the direct imaging of a nanophotonic metasurface with gradient geometry, for fast and ultra-sensitive detection of multiple biomarkers (i.e. Matrix metalloproteinase-9 (MMP-9), Lipocalin-1 (LCN-1), Lactoferrin (LTF)) in tears for the diagnosis and classification of DED. This centimeter-scale concentric nanophotonic metasurface, which consists of millions of unique metallic nanostructures, was fabricated through a cost-effective nanoimprint lithography (NIL) process. The immune detection system based on the antibody-modified metasurface shows favorable detection selectivity, an ultra-high sensitivity (3350 pixels/Refractive Index Unit (RIU)) and low limit of detection (LOD) (0.3 ng/mL for MMP-9, 1 ng/mL for LTF, and 0.5 ng/mL for LCN-1). Further clinical sampling and detection results demonstrated that this multi-biomarker detection system enabled accurate determination and symptom classification of DED, manifesting high correlation and consistency with clinical diagnosis results. The advantages such as low sample consumption, one-step detection, simple operation, and simultaneous detection of multiple biomarkers make the platform promising for screening and detecting a broader range of biomarker combinations in clinical practice.
Collapse
Affiliation(s)
- Xiangyi Ye
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Ji Yang
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Chao Hu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Jianpei Dong
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Hao Tang
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Bin Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Baohua Wen
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Zihan Xiao
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Minyi Zhu
- Department of Ophthalmology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, PR China
| | - Jingxuan Cai
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China.
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, PR China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China.
| |
Collapse
|
8
|
Zhou J, Wang L, Zhu D, Gong X. Social Anxiety and Peer Victimization and Aggression: Examining Reciprocal Trait-State Effects among Early Adolescents. J Youth Adolesc 2024; 53:701-717. [PMID: 38097883 DOI: 10.1007/s10964-023-01920-5] [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: 09/14/2023] [Accepted: 11/25/2023] [Indexed: 02/04/2024]
Abstract
As peer relationships become paramount during early adolescence, there's a normative rise in social anxiety, coinciding with a peak in peer victimization and aggression. Although previous studies have suggested reciprocal associations between changes in social anxiety and adolescent peer victimization and aggression, the mechanics of these associations at the personal trait and time-varying state levels remains unclear. This study examined the longitudinal relations between social anxiety and adolescent peer victimization and aggression by disentangling between-person trait differences from within-person state processes. A total of 4731 Chinese early adolescents (44.9% girls; M age = 10.91 years, SD = 0.72) participated in a four-wave longitudinal study with 6-month intervals. Random-intercept cross-lagged panel model (RI-CLPM) was applied. The results revealed higher levels of social anxiety are associated with more peer victimization and aggression at the between-person trait level. At the within-person state level, adolescent social anxiety, and adolescent physical victimization and physical aggression, reciprocally predicted each other. Relational victimization significantly predicted an increase of social anxiety, but not vice versa. Social anxiety positively predicted relational aggression over time, whereas the effect of relational aggression on social anxiety was only observed at the initial stage of early adolescence. These findings highlight that various types of victimization and aggression might exhibit unique reciprocal associations with social anxiety. Distinguishing between the within-person state and between-person trait effects is crucial in research that informs the co-development of adolescent peer victimization, aggression, and social anxiety.
Collapse
Affiliation(s)
- Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China.
| | - Li'an Wang
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Dandan Zhu
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xue Gong
- Department of Psychology, Normal College, Qingdao University, Qingdao, China.
| |
Collapse
|
9
|
Zhou J, Dong J, Hou H, Huang L, Li J. High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications. Lab Chip 2024; 24:1307-1326. [PMID: 38247405 DOI: 10.1039/d3lc01012k] [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: 01/23/2024]
Abstract
High-throughput microfluidic systems are widely used in biomedical fields for tasks like disease detection, drug testing, and material discovery. Despite the great advances in automation and throughput, the large amounts of data generated by the high-throughput microfluidic systems generally outpace the abilities of manual analysis. Recently, the convergence of microfluidic systems and artificial intelligence (AI) has been promising in solving the issue by significantly accelerating the process of data analysis as well as improving the capability of intelligent decision. This review offers a comprehensive introduction on AI methods and outlines the current advances of high-throughput microfluidic systems accelerated by AI, covering biomedical detection, drug screening, and automated system control and design. Furthermore, the challenges and opportunities in this field are critically discussed as well.
Collapse
Affiliation(s)
- Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Jianpei Dong
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Hongwei Hou
- Beijing Life Science Academy, Beijing 102209, China
| | - Lu Huang
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China
| | - Jinghong Li
- Department of Chemistry, Center for BioAnalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing 100084, China.
- New Cornerstone Science Laboratory, Shenzhen 518054, China
- Beijing Life Science Academy, Beijing 102209, China
- Center for BioAnalytical Chemistry, Hefei National Laboratory of Physical Science at Microscale, University of Science and Technology of China, Hefei 230026, China
| |
Collapse
|
10
|
Fu J, Deng Z, Liu C, Liu C, Luo J, Wu J, Peng S, Song L, Li X, Peng M, Liu H, Zhou J, Qiao Y. Intelligent, Flexible Artificial Throats with Sound Emitting, Detecting, and Recognizing Abilities. Sensors (Basel) 2024; 24:1493. [PMID: 38475029 DOI: 10.3390/s24051493] [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: 01/23/2024] [Revised: 02/22/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024]
Abstract
In recent years, there has been a notable rise in the number of patients afflicted with laryngeal diseases, including cancer, trauma, and other ailments leading to voice loss. Currently, the market is witnessing a pressing demand for medical and healthcare products designed to assist individuals with voice defects, prompting the invention of the artificial throat (AT). This user-friendly device eliminates the need for complex procedures like phonation reconstruction surgery. Therefore, in this review, we will initially give a careful introduction to the intelligent AT, which can act not only as a sound sensor but also as a thin-film sound emitter. Then, the sensing principle to detect sound will be discussed carefully, including capacitive, piezoelectric, electromagnetic, and piezoresistive components employed in the realm of sound sensing. Following this, the development of thermoacoustic theory and different materials made of sound emitters will also be analyzed. After that, various algorithms utilized by the intelligent AT for speech pattern recognition will be reviewed, including some classical algorithms and neural network algorithms. Finally, the outlook, challenge, and conclusion of the intelligent AT will be stated. The intelligent AT presents clear advantages for patients with voice impairments, demonstrating significant social values.
Collapse
Affiliation(s)
- Junxin Fu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Zhikang Deng
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Chang Liu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Chuting Liu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Jinan Luo
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Jingzhi Wu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Shiqi Peng
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Lei Song
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Xinyi Li
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Minli Peng
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Houfang Liu
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Yancong Qiao
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| |
Collapse
|
11
|
Gao M, Wu Y, Yang X, Wang J, Hu X, Zhou J. [Advances of proteostasis network and its stability maintenance mechanism]. Sheng Wu Gong Cheng Xue Bao 2024; 40:434-445. [PMID: 38369831 DOI: 10.13345/j.cjb.230537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Protein is fundamental to life, as it generates protein variants. The maintenance of a dynamic equilibrium in these protein variants, known as protein homeostasis, is crucial for cellular function. Various factors, both endogenous and exogenous, can disrupt protein homeostasis during protein synthesis. These factors include translational error, and biological functions mediated by regulatory factors, and more. When cell accumulate proteins with folding errors, it impairs protein homeostasis, leading to the development of related diseases. In response to protein folding errors, multiple monitoring mechanisms are activated to mediate pathways that sustain the dynamic equilibrium. This review highlights the complex relationships within the proteostasis network, which are influenced by a variety of factors. These insights potentially provide new directions for studying diseases caused by protein synthesis errors.
Collapse
Affiliation(s)
- Mingyang Gao
- Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, Gansu, China
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730010, Gansu, China
| | - Yuhu Wu
- Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, Gansu, China
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730010, Gansu, China
| | - Xuanye Yang
- Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, Gansu, China
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730010, Gansu, China
| | - Jinqian Wang
- Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, Gansu, China
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730010, Gansu, China
| | - Xinyan Hu
- Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, Gansu, China
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730010, Gansu, China
| | - Jianhua Zhou
- Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, Gansu, China
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730010, Gansu, China
- Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, Gansu, China
| |
Collapse
|
12
|
Zhou JH, Zhang YL, Li LF, Lu PL. [Correlation between prognostic nutritional index and pleural thickness with survival time of epithelial malignant pleural mesothelioma patients]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2024; 42:118-123. [PMID: 38403420 DOI: 10.3760/cma.j.cn121094-20230106-00011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Objective: To explore the role of prognostic nutritional index (PNI) and pleural thickness in the prognostic evaluation of patients with epithelial malignant pleural mesothelioma (MPM) . Methods: In April 2022, a retrospective analysis was conducted on the data and laboratory data of 41 patients with epithelial MPM admitted to the cardiothoracic surgery department of Chuxiong Yi Autonomous Prefecture People's Hospital from January 2018 to May 2021. Univariate and multivariate analysis were used to evaluate the relationships between total survival time, clinical characteristics, PNI and pleural thickness in patients. Results: The 41 patients were mostly male (26 cases, 63.4%) , with a median age of 55 years old. The main clinical manifestations were chest pain (53.7%) , bloody pleural effusion (75.6%) , and chest pain combined with bloody pleural effusion (36.6%) . The median survival time of patients with different TNM stage, efficacy after 4 cycles of chemotherapy, PNI, maximum pleural thickness after chemotherapy (post max) , sum of post max in 3 zones after chemotherapy (post sum) were statistically different (χ(2)=3.89, 14.51, 15.33, 4.33, 12.05, P<0.05) . Compared with patients with high PNI and post sum<32.26 mm, MPM patients with low PNI and post sum≥32.26 mm have higher risk of death, and the differences were statistically significant (HR=1.52, 95%CI: 1.75-11.93, P=0.002; HR=1.70, 95%CI: 1.84-16.23, P=0.002) . Conclusion: PNI and post sum can be used to predict the prognosis of patients with epithelial MPM.
Collapse
Affiliation(s)
- J H Zhou
- Department of Cardiothoracic Surgery, Chuxiong Yi Autonomous Prefecture People's Hospital, Yunnan Province, Chuxiong 675000, China
| | - Y L Zhang
- Anesthesia Department 1, Chuxiong Yi Autonomous Prefecture People's Hospital, Yunnan Province, Chuxiong 675000, China
| | - L F Li
- Department of Cardiothoracic Surgery, Chuxiong Yi Autonomous Prefecture People's Hospital, Yunnan Province, Chuxiong 675000, China
| | - P L Lu
- Department of Cardiothoracic Surgery, Chuxiong Yi Autonomous Prefecture People's Hospital, Yunnan Province, Chuxiong 675000, China
| |
Collapse
|
13
|
Zhang Z, Wu B, Qu YL, Li Y, Xu LJ, Lyu CX, Chen C, Wang J, Xue K, Wei Y, Zhou JH, Zheng XL, Qiu YD, Luo YF, Liu JX, Lyu YB, Shi XM. [Association of urinary cadmium level with body mass index and body circumferences among older adults over 65 years old in 9 longevity areas of China]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:227-234. [PMID: 38387955 DOI: 10.3760/cma.j.cn112150-20230912-00181] [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: To investigate the association of urinary cadmium level with body mass index (BMI) and body circumferences among the older adults over 65 years old in 9 longevity areas of China. Methods: Subjects were older adults over 65 years old from the Healthy Aging and Biomarkers Cohort Study (HABCS) between 2017 and 2018 conducted in 9 longevity areas in China. A total of 1 968 older adults were included in this study. Information including socio-demographic characteristics, lifestyles, diet intake, and health status was collected by using questionnaires and physical examinations. Urine samples were collected to detect urinary cadmium and creatinine levels. Body circumferences included waist circumference, hip circumference and calf circumference. Subjects were divided into three groups (low:<0.77 μg/g·creatinine, middle:0.77-1.69 μg/g·creatinine, high:≥1.69 μg/g·creatinine) by tertiles of creatinine-adjusted urinary cadmium concentration. Multiple linear regression models were used to analyze the association of creatinine-adjusted urinary cadmium level with BMI and body circumferences. The dose-response relationship of creatinine-adjusted urinary cadmium concentration with BMI and body circumferences was analyzed by using restrictive cubic splines fitting multiple linear regression model. Results: The mean age of subjects was (83.34±11.14) years old. The median (Q1, Q3) concentration of creatinine-adjusted urinary cadmium was 1.13 (0.63, 2.09) μg/g·creatinine, and the BMI was (22.70±3.82) kg/m2. The mean values of waist circumference, hip circumference, and calf circumference were (85.42±10.68) cm, (92.67±8.90) cm, and (31.08±4.76) cm, respectively. After controlling confounding factors, the results of the multiple linear regression model showed that for each increment of 1 μg/g·creatinine in creatinine-adjusted urinary cadmium, the change of BMI, waist circumference, hip circumference, and calf circumference in the high-level group was -0.28 (-0.37, -0.19) kg/m2, -0.74 (-0.96, -0.52) cm, -0.78 (-0.96, -0.61) cm, and -0.20 (-0.30, -0.11) cm, respectively. The restrictive cubic splines curve showed a negative nonlinear association of creatinine-adjusted urinary cadmium with BMI (Pnonlinear<0.001) and negative linear associations of creatinine-adjusted urinary cadmium with waist circumference (Plinear<0.001), hip circumference (Plinear<0.001), and calf circumference (Plinear<0.001). Conclusion: Urinary cadmium level is significantly associated with decreased BMI, waist circumference, hip circumference and calf circumference among older adults over 65 years old in 9 longevity areas of China.
Collapse
Affiliation(s)
- Z Zhang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - B Wu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y L Qu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Li
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L J Xu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C X Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C Chen
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Wang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - K Xue
- School of Public Health, Jilin University, Changchun 130012, China
| | - Y Wei
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - J H Zhou
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X L Zheng
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y D Qiu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y F Luo
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J X Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| |
Collapse
|
14
|
Zhou J, Li X, Zou Y, Gong X. Longitudinal relations among family dysfunction, depressive symptoms, and cyberbullying involvement in Chinese early adolescents: Disentangling between- and within-person associations. Dev Psychopathol 2024; 36:395-403. [PMID: 36484142 DOI: 10.1017/s0954579422001274] [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: 12/13/2022]
Abstract
Family dysfunction plays an important role in cyberbullying and cybervictimization. However, little research has investigated the longitudinal relations and the mediating mechanisms between them during adolescence. This study examined the longitudinal relations between family dysfunction and cyberbullying and cybervictimization, along with whether depressive symptoms function as mediators between them at the within-person level. A total of 3,743 Chinese adolescents (46.2% females; Mage = 9.92 years; SD = 0.51) participated a five-wave longitudinal study with a 6-month time interval. The results of random intercept cross-lagged panel model found that: (1) family dysfunction directly predicted depressive symptoms and vice versa at the within-person level; (2) depressive symptoms directly predicted cyberbullying and cybervictimization at the within-person level, but not vice versa; (3) family dysfunction indirectly predicted cyberbullying and cybervictimization via depressive symptoms at the within-person level; (4) at the between-person level, there were significant associations among family dysfunction, depressive symptoms, cyberbullying and cybervictimization. The results are discussed on the basis of the mechanisms that lead to cyberbullying and cybervictimization.
Collapse
Affiliation(s)
- Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xiang Li
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | - Yan Zou
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xue Gong
- School of Psychology, South China Normal University, Guangzhou, China
| |
Collapse
|
15
|
Zhang Y, Li Q, Li L, Hong Y, Qiang B, Yu Y, Guo R, Deng H, Han X, Zou X, Guo Z, Zhou J. Diagnostic Performance of Modified Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System in Patients Without Risk Factors for Hepatocellular Carcinoma: Comparison With World Federation for Ultrasound in Medicine and Biology Guideline. Ultrasound Med Biol 2024; 50:243-250. [PMID: 37985306 DOI: 10.1016/j.ultrasmedbio.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/14/2023] [Accepted: 10/17/2023] [Indexed: 11/22/2023]
Abstract
OBJECTIVE The aim of this study was to assess the ability of the modified contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) to distinguish malignancy in patients without known hepatocellular carcinoma (HCC) risk factors and compare diagnostic accuracy with that of the World Federation for Ultrasound in Medicine and Biology (WFUMB) guideline across radiologists with different levels of CEUS experience. METHODS A total of 848 individuals with no hepatitis infection presenting with 870 lesions in non-cirrhotic livers were included and divided into the Testing and Validation groups. The modified CEUS LI-RADS was proposed, including downgrading of focal nodular hyperplasia with typical features. Diagnostic performance of the modified CEUS LI-RADS was assessed in the Testing group. In the Validation group, two radiologists with more than 9 y of CEUS experience (Experts) and two radiologists with less than 6 mo of CEUS experience (Novices) used both the modified CEUS LI-RADS and the WFUMB guideline to evaluate performance in diagnosis of the lesions. RESULTS LR-5 + M (combination of modified LR-5 and modified LR-M) revealed optimal performance with a sensitivity, specificity and area under the curve (AUC) of 99.3%, 81.6% and 0.904, respectively. Novices using the modified CEUS LI-RADS outperformed those using the WFUMB guideline (AUC: 0.858 vs. 0.767, p = 0.005). Additionally, the sensitivity, specificity and AUC of Novices were comparable to those of Experts using the modified CEUS LI-RADS (94.1%, 77.6% and 0.858 vs. 96.1%, 77.6% and 0.868 for experts, respectively). CONCLUSION The modified CEUS LI-RADS is a valuable method for distinguishing hepatic malignancy in patients without HCC risk factors. This is particularly beneficial for radiologists with limited CEUS expertise.
Collapse
Affiliation(s)
- Yafang Zhang
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qing Li
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Lingling Li
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yong Hong
- Department of Ultrasound, Zhongshan Dongfeng People's Hospital, Zhongshan, China
| | - Banghong Qiang
- Department of Ultrasound Medicine, Wuhu Hospital, East China Normal University (The Second People's Hospital), Wuhu, China
| | - Yiwen Yu
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ruohan Guo
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hanxia Deng
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xu Han
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xuebin Zou
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zhixing Guo
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jianhua Zhou
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
| |
Collapse
|
16
|
Pang X, Fu Q, Yang Y, Zhou C, Feng S, Gong K, Wang J, Zhou J. A low-voltage alternant direct current electroporation chip for ultrafast releasing the genome DNA of Helicobacter pylori bacterium. Mikrochim Acta 2024; 191:116. [PMID: 38291180 DOI: 10.1007/s00604-024-06187-6] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/01/2024] [Indexed: 02/01/2024]
Abstract
Nucleic acid detection, as an important molecular diagnostic method, is widely used in bacterial identification, disease diagnosis. For detecting the nucleic acid of bacteria, the prerequisite is to release nucleic acids inside the bacteria. The common means to release nucleic acids is the chemical method, which involves complex processes, is time-consuming, and remains chemical inhibitors. Compared with chemical methods, electroporation as a physical method has the advantages of easy operation, short-time consumption, and chemical reagents free. However, the current works using electroporation often necessitates high-frequency or high-voltage conditions, entailing bulky power devices. Herein, we propose a low-voltage alternant direct current (LADC) electroporation chip and the corresponding miniature device for ultrafast releasing the genome DNA from Helicobacter pylori (H. pylori) for detection. We connected a micrometer-interdigital electrode in the chip with a 20 V portable battery to make the miniature device. Using this low-voltage device, our chip released genome DNA of H. pylori within only 5 ms, achieving a cell lysis rate of 99.5%. We further combined this chip with a colorimetric loop-mediated isothermal amplification assay to visually detect H. pylori within ~ 25 min at 10 CFU/μL. We detected 11 clinical samples using the chip, and the detection results were consistent with those of the clinical standard. The results indicate that the LADC electroporation chip is useful for ultrafast release of genome DNA from bacteria and is expected to promote the development of nucleic acid detection in POCT and other scenarios.
Collapse
Affiliation(s)
- Xueyuan Pang
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Quanying Fu
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Yuxiao Yang
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Cuiping Zhou
- Department of Emergency, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Shaoqiong Feng
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Keye Gong
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Jiasi Wang
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Jianhua Zhou
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China.
| |
Collapse
|
17
|
Guo R, Yu Y, Huang Y, Lin M, Liao Y, Hu Y, Li Q, Peng C, Zhou J. A nomogram model combining ultrasound-based radiomics features and clinicopathological factors to identify germline BRCA1/2 mutation in invasive breast cancer patients. Heliyon 2024; 10:e23383. [PMID: 38169922 PMCID: PMC10758804 DOI: 10.1016/j.heliyon.2023.e23383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/18/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
Objective BRCA1/2 status is a key to personalized therapy for invasive breast cancer patients. This study aimed to explore the association between ultrasound radiomics features and germline BRCA1/2 mutation in patients with invasive breast cancer. Materials and methods In this retrospective study, 100 lesions in 92 BRCA1/2-mutated patients and 390 lesions in 357 non-BRCA1/2-mutated patients were included and randomly assigned as training and validation datasets in a ratio of 7:3. Gray-scale ultrasound images of the largest plane of the lesions were used for feature extraction. Maximum relevance minimum redundancy (mRMR) algorithm and multivariate logistic least absolute shrinkage and selection operator (LASSO) regression were used to select features. The multivariate logistic regression method was used to construct predictive models based on clinicopathological factors, radiomics features, or a combination of them. Results In the clinical model, age at first diagnosis, family history of BRCA1/2-related malignancies, HER2 status, and Ki-67 level were found to be independent predictors for BRCA1/2 mutation. In the radiomics model, 10 significant features were selected from the 1032 radiomics features extracted from US images. The AUCs of the radiomics model were not inferior to those of the clinical model in both training dataset [0.712 (95% CI, 0.647-0.776) vs 0.768 (95% CI, 0.704-0.835); p = 0.429] and validation dataset [0.705 (95% CI, 0.597-0.808) vs 0.723 (95% CI, 0.625-0.828); p = 0.820]. The AUCs of the nomogram model combining clinical and radiomics features were 0.804 (95% CI, 0.748-0.861) in the training dataset and 0.811 (95% CI, 0.724-0.894) in the validation dataset, which were proved significantly higher than those of the clinical model alone by DeLong's test (p = 0.041; p = 0.007). To be noted, the negative predictive values (NPVs) of the nomogram model reached a favorable 0.93 in both datasets. Conclusion This machine nomogram model combining ultrasound-based radiomics and clinical features exhibited a promising performance in identifying germline BRCA1/2 mutation in patients with invasive breast cancer and may help avoid unnecessary gene tests in clinical practice.
Collapse
Affiliation(s)
| | | | - Yini Huang
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, 510060, PR China
| | - Min Lin
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, 510060, PR China
| | - Ying Liao
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, 510060, PR China
| | - Yixin Hu
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, 510060, PR China
| | - Qing Li
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, 510060, PR China
| | - Chuan Peng
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, 510060, PR China
| | - Jianhua Zhou
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, 510060, PR China
| |
Collapse
|
18
|
Wang Y, Yang J, Zhang Y, Zhou J. Focus on Mitochondrial Respiratory Chain: Potential Therapeutic Target for Chronic Renal Failure. Int J Mol Sci 2024; 25:949. [PMID: 38256023 PMCID: PMC10815764 DOI: 10.3390/ijms25020949] [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: 11/30/2023] [Revised: 12/26/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
The function of the respiratory chain is closely associated with kidney function, and the dysfunction of the respiratory chain is a primary pathophysiological change in chronic kidney failure. The incidence of chronic kidney failure caused by defects in respiratory-chain-related genes has frequently been overlooked. Correcting abnormal metabolic reprogramming, rescuing the "toxic respiratory chain", and targeting the clearance of mitochondrial reactive oxygen species are potential therapies for treating chronic kidney failure. These treatments have shown promising results in slowing fibrosis and inflammation progression and improving kidney function in various animal models of chronic kidney failure and patients with chronic kidney disease (CKD). The mitochondrial respiratory chain is a key target worthy of attention in the treatment of chronic kidney failure. This review integrated research related to the mitochondrial respiratory chain and chronic kidney failure, primarily elucidating the pathological status of the mitochondrial respiratory chain in chronic kidney failure and potential therapeutic drugs. It provided new ideas for the treatment of kidney failure and promoted the development of drugs targeting the mitochondrial respiratory chain.
Collapse
Affiliation(s)
| | | | | | - Jianhua Zhou
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China; (Y.W.); (J.Y.); (Y.Z.)
| |
Collapse
|
19
|
Wu B, Li Y, Xu LJ, Zhang Z, Zhou JH, Wei Y, Chen C, Wang J, Wu CZ, Li Z, Hu ZY, Long FY, Wu YD, Hu XH, Li KX, Li FY, Luo YF, Liu YC, Lyu YB, Shi XM. [Association of sleep duration and physical exercise with dyslipidemia in older adults aged 80 years and over in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:48-55. [PMID: 38228524 DOI: 10.3760/cma.j.cn112338-20231007-00207] [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: 01/18/2024]
Abstract
Objective: To explore the impact of sleep duration, physical exercise, and their interactions on the risk of dyslipidemia in older adults aged ≥80 (the oldest old) in China. Methods: The study subjects were the oldest old from four rounds of Healthy Aging and Biomarkers Cohort Study (2008-2009, 2011-2012, 2014 and 2017-2018). The information about their demographic characteristics, lifestyles, physical examination results and others were collected, and fasting venous blood samples were collected from them for blood lipid testing. Competing risk model was used to analyze the causal associations of sleep duration and physical exercise with the risk for dyslipidemia. Restricted cubic spline (RCS) function was used to explore the dose-response relationship between sleep duration and the risk for dyslipidemia. Additive and multiplicative interaction model were used to explore the interaction of sleep duration and physical exercise on the risk for dyslipidemia. Results: The average age of 1 809 subjects was (93.1±7.7) years, 65.1% of them were women. The average sleep duration of the subjects was (8.0±2.5) hours/day, 28.1% of them had sleep duration for less than 7 hours/day, and 27.2% had sleep for duration more than 9 hours/day at baseline survey. During the 9-year cumulative follow-up of 6 150.6 person years (follow-up of average 3.4 years for one person), there were 304 new cases of dyslipidemia, with an incidence density of 4 942.6/100 000 person years. The results of competitive risk model analysis showed that compared with those who slept for 7-9 hours/day, the risk for dyslipidemia in oldest old with sleep duration >9 hours/day increased by 22% (HR=1.22, 95%CI: 1.07-1.39). Compared with the oldest old having no physical exercise, the risk for dyslipidemia in the oldest old having physical exercise decreased by 33% (HR=0.67, 95%CI: 0.57-0.78). The RCS function showed a linear positive dose-response relationship between sleep duration and the risk for hyperlipidemia. The interaction analysis showed that physical exercise and sleep duration had an antagonistic effect on the risk for hyperlipidemia. Conclusion: Physical exercise could reduce the adverse effects of prolonged sleep on blood lipids in the oldest old.
Collapse
Affiliation(s)
- B Wu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Li
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L J Xu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Z Zhang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J H Zhou
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Wei
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - C Chen
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Wang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C Z Wu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z Y Hu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Y Long
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y D Wu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X H Hu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - K X Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Y Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y F Luo
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y C Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| |
Collapse
|
20
|
Wang L, Yang X, Zhao H, Zhou J. Longitudinal Relation between Harsh Punishment and Psychoticism among Chinese Early Adolescents: Disentangling between‑ and within‑Family Effects. J Genet Psychol 2024; 185:1-17. [PMID: 37599506 DOI: 10.1080/00221325.2023.2247034] [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] [Received: 12/21/2022] [Accepted: 08/07/2023] [Indexed: 08/22/2023]
Abstract
This longitudinal study examined bidirectional relations between parental harsh punishment and psychoticism at the between‑ and within‑family levels in Chinese adolescents. There were 3,307 Chinese youth (43.6% girls, Mage = 11.30 years, SD = 0.24) who participated in a 4-wave longitudinal study, spaced 12 months apart. The results of cross-lagged panel modeling (i.e. CLPM) found the significant bidirectional relations between parental harsh punishment and psychoticism at the between-family level. However, the within-person level analysis of random intercept cross-lagged panel modeling (i.e. RI-CLPM) only revealed parental harsh punishment significantly predicted youth psychoticism, but not vice versa. Moreover, no sex differences were observed in the bidirectional relations between parental harsh punishment and psychoticism at the between- or within-family level. These results suggest parental harsh parenting could exacerbate the psychoticism trait at both the between- and within-family level, whereas the influence of young people's psychoticism on harsh parenting response from parents occurs only at the between-family level. The findings help to understand the nature of the dynamic process of change between psychoticism and harsh parenting among Chinese adolescents.
Collapse
Affiliation(s)
- Li'an Wang
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xiaoli Yang
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Haiyan Zhao
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China
| |
Collapse
|
21
|
Gong X, Zhang L, Zhou J, Bi T. Maternal Childhood Maltreatment and Adolescent Internalizing Problems: The Mediating Role of Maternal Depressive Symptoms and Offspring Childhood Maltreatment. J Youth Adolesc 2024; 53:159-170. [PMID: 37794285 DOI: 10.1007/s10964-023-01877-5] [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: 08/20/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023]
Abstract
Research has demonstrated the predictive effect of maternal childhood maltreatment on adolescent internalizing problems. However, few studies have explored the mediating mechanisms of how mothers' experiences of childhood maltreatment are transmitted to their offspring's internalizing problems over time. The present multi-informant study investigated the potential mediating effects of maternal depressive symptoms and offspring's childhood maltreatment experiences on the relation between maternal childhood maltreatment and adolescent internalizing problems. A total of 823 Chinese youth (43.4% girls; Mage = 10.26 years, SD = 0.94) and their mothers participated in a two-wave longitudinal study with one-year intervals. Mothers reported their experiences of childhood maltreatment and depressive symptoms, while youth reported their childhood maltreatment experiences and internalizing problems. Findings of path analysis indicated that maternal emotional abuse at T1 could significantly predict adolescent internalizing problems at T2, after controlling for a baseline of adolescent internalizing problems. Maternal emotional abuse, emotional neglect, and physical neglect at T1 can influence adolescent internalizing problems at T2 through maternal depressive symptoms at T1 to adolescent internalizing problems at T1. Maternal emotional abuse at T1 displayed statistically significant indirect effects on adolescent internalizing problems at T2 successively through the pathway from adolescent emotional abuse at T1 to adolescent internalizing problems at T1. The findings supported the cycle of maltreatment hypothesis. The present study highlights the intergenerational link between maternal childhood maltreatment and adolescent internalizing problems, as well as reveals the mediating mechanisms in this relation.
Collapse
Affiliation(s)
- Xue Gong
- Department of Psychology, Normal College, Qingdao University, Qingdao, China.
| | - Lulu Zhang
- School of Psychology, University of Glasgow, Glasgow, UK
| | - Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Tiantian Bi
- Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing, China.
| |
Collapse
|
22
|
Li X, Peng C, Liu Y, Hu Y, Yang L, Yu Y, Zeng H, Huang W, Li Q, Tao N, Cao L, Zhou J. Modified American College of Radiology Thyroid Imaging Reporting and Data System and Modified Artificial Intelligence Thyroid Imaging Reporting and Data System for Thyroid Nodules: A Multicenter Retrospective Study. Thyroid 2024; 34:88-100. [PMID: 37950720 DOI: 10.1089/thy.2023.0429] [Citation(s) in RCA: 1] [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] [Indexed: 11/13/2023]
Abstract
Background: Risk stratification systems for thyroid nodules are limited by low specificity. The fine-needle aspiration (FNA) biopsy size thresholds and stratification criteria are based on evidence from the literature and expert consensus. Our aims were to investigate the optimal FNA biopsy size thresholds in the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) and artificial intelligence (AI) TI-RADS and to revise the stratification criteria in AI TI-RADS. Methods: A total of 2596 thyroid nodules (in 2511 patients) on ultrasound examination with definite pathological diagnoses were retrospectively identified from January 2017 to September 2021 in 6 participating Chinese hospitals. The modified criteria for ACR TI-RADS were as follows: (1) no FNA for TR3; (2) FNA threshold for TR4 increased to 2.5 cm. The modified criteria for AI TI-RADS were as follows: (1) 6-point nodules upgraded to TR5; (2) no FNA for TR3; (3) FNA threshold for TR4 increased to 2.5 cm. The diagnostic performance and the unnecessary FNA rate (UFR) of modified versions were compared with the original ACR TI-RADS. Results: Compared with the original ACR TI-RADS, the modified ACR (mACR) TI-RADS yielded higher specificity (73% vs. 46%), accuracy (74% vs. 51%), area under the receiver operating characteristic curve (AUC; 0.80 vs. 0.70), and lower UFR (25% vs. 48%; all p < 0.001), although the sensitivity was slightly decreased (87% vs. 93%, p = 0.057). Compared with the original ACR TI-RADS, the modified AI (mAI) TI-RADS yielded higher specificity (73% vs. 46%), accuracy (75% vs. 51%), AUC (0.81 vs. 0.70), and lower UFR (24% vs. 48%; all p < 0.001), although the sensitivity tended to be slightly decreased (89% vs. 93%, p = 0.13). There was no significant difference between the mACR TI-RADS and mAI TI-RADS in the diagnostic performance and UFR (all p > 0.05). Conclusions: The revised FNA thresholds and the stratification criteria of the mACR TI-RADS and mAI TI-RADS may be associated with improvements in specificity and accuracy, without significantly sacrificing sensitivity for malignancy detection.
Collapse
Affiliation(s)
- Xiaoxian Li
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Chuan Peng
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Ying Liu
- Department of Ultrasound, Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Yixin Hu
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Liang Yang
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Yiwen Yu
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Hongyan Zeng
- Department of Ultrasound, Huadu District People's Hospital, Guangzhou, China
| | - Weijun Huang
- Department of Ultrasound, Foshan First Municipal People's Hospital (The Affiliated Foshan Hospital of Sun Yat-sen University), Foshan, Guangdong Province, China
| | - Qian Li
- Department of Ultrasound, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China
| | - Nansheng Tao
- Department of Ultrasound, The Fifth People's Hospital of Nanhai, Foshan, Guangdong Province, China
| | - Longhui Cao
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Jianhua Zhou
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| |
Collapse
|
23
|
Zhang Z, Hao Z, Shan R, Tasleem MW, Wang J, Zhou J, Zhang H. A novel photothermal sensing probe based on violet phosphorus for sensitive immunochromatographic sensing detection. Food Chem X 2023; 20:100990. [PMID: 38144854 PMCID: PMC10740082 DOI: 10.1016/j.fochx.2023.100990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/27/2023] [Accepted: 11/08/2023] [Indexed: 12/26/2023] Open
Abstract
Photothermal immunochromatographic sensor is an emerging detection technology, and it is important to develop new sensing probes with excellent photothermal performance to improve its detection performance. In the present study, a novel photothermal sensing probe based on violet phosphorus nanosheets with satisfactory photothermal conversion efficiency (31.1 %) was reported for the first time. A photothermal immunochromatographic sensor using the above probe was applied for visual and photothermal detection of diethylstilbestrol. The diethylstilbestrol concentration was inversely proportional to photothermal sensing signal and showed a good linear correlation in the range of 0.75 ∼ 50 μg·L-1. After optimizing, the visual and photothermal detection limits were 6 μg·L-1 and 0.56 μg·L-1, respectively. The recovery rates in tap water, milk and pork samples ranged from 82.2 % to 115.2 %, with a coefficient of variation (CV) ranging from 2.0 % to 10.8 %. This work not only structured a new type of photothermal probe, but also expanded the application range of violet phosphorus.
Collapse
Affiliation(s)
- Zhen Zhang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Sciences, Shandong Normal University, Jinan 250014, PR China
| | - Zhenkai Hao
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Sciences, Shandong Normal University, Jinan 250014, PR China
| | - Ruiping Shan
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Sciences, Shandong Normal University, Jinan 250014, PR China
| | - Muhammad Wasim Tasleem
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Sciences, Shandong Normal University, Jinan 250014, PR China
| | - Jianbin Wang
- Zhucheng Dongxiao Biotechnology Co., Ltd., Weifang, 262200, PR China
| | - Jianhua Zhou
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Sciences, Shandong Normal University, Jinan 250014, PR China
| | - Hongyan Zhang
- Shandong Provincial Key Laboratory of Animal Resistance Biology, Key Laboratory of Food Nutrition and Safety of Shandong Normal University, College of Life Sciences, Shandong Normal University, Jinan 250014, PR China
| |
Collapse
|
24
|
Liu Y, Li J, Xiao Z, Wu T, Zhou C, Zhou J. Microstructure-Driven Self-Transport and Convection of Water on Membrane Surface for Ultra-Fast, Highly Sensitive, Low-Cost Lateral-Flow Assays. Small 2023:e2309956. [PMID: 38145329 DOI: 10.1002/smll.202309956] [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: 11/01/2023] [Revised: 12/02/2023] [Indexed: 12/26/2023]
Abstract
Lateral-flow assay (LFA) is one of the most commonly used detection technologies, in which the chromatographic membranes are currently used as the lateral-flow membrane (e.g., nitrocellulose membrane, NC Mem). However, several disadvantages of existing chromatographic membranes limit the performance of LFA, including relatively low flow velocity of sample solution and relatively more residuals of sample on membrane, which increase detection time and detection noise. Herein, a surface structure membrane (SS Mem) is proposed, which enables fast self-transport of water with a convection manner and realizes low residuals of sample on membrane surface after the flow. On SS Mem, the flow velocity of water is 7.1-fold higher, and the residuals of sample are decreased by 60-67%, comparing those in NC Mem. SS Mem is used as lateral-flow membrane to prepare lateral-flow strips of nanogold LFA and fluorescence LFA for rapid detection of SARS CoV-2 nucleocapsid protein. These LFAs require 210 s per detection, with limits of detection of 3.98 pg mL-1 and 53.3 fg mL-1 , sensitivity of 96.5%, and specificity of 90%. The results suggest that SS Mem enables ultrafast, highly sensitive lateral-flow immunoassays and shows great potential as a new type of lateral-flow membrane to broaden the application of LFA.
Collapse
Affiliation(s)
- Yiren Liu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, China
| | - Juanhua Li
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, China
| | - Zihan Xiao
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Tianyu Wu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Cuiping Zhou
- Department of Emergency, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, China
| |
Collapse
|
25
|
Zhou J, Zhao H, Wang L, Zhu D. The vicious cycle of family dysfunction and problematic gaming and the mediating role of self-concept clarity among early adolescents: A within-person analysis using random intercept cross-lagged panel modeling. J Behav Addict 2023; 12:920-937. [PMID: 38141062 PMCID: PMC10786229 DOI: 10.1556/2006.2023.00054] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 06/28/2023] [Accepted: 09/10/2023] [Indexed: 12/24/2023] Open
Abstract
Backgrounds and aims Family dysfunction is a significant risk factor for adolescent problematic gaming, yet few studies have investigated the bidirectional relations between changes in family dysfunction and adolescent problematic gaming and potential mediating mechanisms. This study thus examined the bidirectional relations between family dysfunction and adolescent problematic gaming and the mediating role of self-concept clarity within this relation. Methods Participants included 4,731 Chinese early adolescents (44.9% girls; M age = 10.91 years, SD = 0.72) who were surveyed at four time points 6 months apart. Results Random intercept cross-lagged panel modeling found (a) family dysfunction directly predicts increased problematic gaming, (b) adolescent problematic gaming directly predicts increased experience of family dysfunction, (c) family dysfunction indirectly predicts problematic gaming via self-concept clarity, and (d) adolescent problematic gaming indirectly predicts family dysfunction via self-concept clarity. Discussion and conclusions The present study suggests that adolescents may be trapped in a vicious cycle between family dysfunction and problematic gaming either directly or indirectly through impairing their self-concept clarity. Findings indicate fostering youth self-concept clarity is essential to break the vicious circle between dysfunctional experiences in the family and problematic gaming among adolescents.
Collapse
Affiliation(s)
- Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Haiyan Zhao
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Li'an Wang
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Dandan Zhu
- School of Psychology, Northwest Normal University, Lanzhou, China
| |
Collapse
|
26
|
Yang Q, Zheng R, Zhou J, Tang L, Zhang R, Jiang T, Jing X, Liao J, Cheng W, Zhao C, Liu C, Dietrich CF, Cui X, Cai W, Wu J, Yu F, Cheng Z, Liu F, Han Z, Yu X, Yu J, Liang P. On-Site Diagnostic Ability of CEUS/CT/MRI for Hepatocellular Carcinoma (2019-2022): A Multicenter Study. J Ultrasound Med 2023; 42:2825-2838. [PMID: 37713625 DOI: 10.1002/jum.16321] [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: 02/10/2023] [Revised: 08/05/2023] [Accepted: 08/07/2023] [Indexed: 09/17/2023]
Abstract
OBJECTIVES To compare the on-site diagnostic performance of contrast-enhanced ultrasound (CEUS), computed tomography (CECT), and magnetic resonance imaging (CEMRI) for hepatocellular carcinoma (HCC) across diverse practice settings. METHODS Between May 2019 and April 2022, a total of 2085 patients with 2320 pathologically confirmed focal liver lesions (FLLs) were enrolled. Imaging reports were compared with results from pathology analysis. Diagnostic performance was analyzed in defined size, high-risk factors for HCC, and hospital volume categories. RESULTS Three images achieved similar diagnostic performance in classifying HCC from 16 types of FLLs, including HCC ≤2.0 cm. For HCC diagnosis at low-volume hospitals and HCC with high-risk factors, the accuracy and specificity of CEUS were comparable to CECT and CEMRI, while the sensitivity of CEUS (77.4 and 89.5%, respectively) was inferior to CEMRI (87.0 and 92.8%, respectively). The diagnostic accuracy of CEUS + CEMRI and CEUS + CECT increased by 7.8 and 6.2% for HCC ≤2.0 cm, 8.0 and 5.0% for HCC with high-risk factors, and 7.4 and 5.5% for HCC at low-volume hospitals, respectively, compared with CEMRI/CECT alone. CONCLUSIONS Compared with CECT and CEMRI, CEUS provides adequate diagnostic performance in clinical first-line applications at high-volume hospitals. Moreover, a higher diagnostic performance for HCC is achieved by combining CEUS with CECT/CEMRI compared with any single imaging technique.
Collapse
Affiliation(s)
- Qi Yang
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
- Department of Medical Ultrasound, Peking University Shenzhen Hospital, Shenzhen, China
| | - Rongqin Zheng
- Department of Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jianhua Zhou
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Lina Tang
- Department of Diagnostic Ultrasound, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Ruifang Zhang
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tianan Jiang
- Department of Ultrasound Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiang Jing
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China
| | - Jintang Liao
- Department of Diagnostic Ultrasound, Xiangya Hospital Central South University, Changsha, China
| | - Wen Cheng
- Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China
| | - Cheng Zhao
- Department of Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Cun Liu
- Department of Ultrasound, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Chirstoph F Dietrich
- Department Allgemeine Innere Medizin (DAIM), Kliniken Hirslanden Beau Site, Bern, Switzerland
| | - Xinwu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenjia Cai
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - JiaPeng Wu
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Fei Yu
- Department of Medical Ultrasound, Peking University Shenzhen Hospital, Shenzhen, China
| | - Zhigang Cheng
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Fangyi Liu
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Zhiyu Han
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Xiaoling Yu
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Jie Yu
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| | - Ping Liang
- Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China
| |
Collapse
|
27
|
Ai J, Zhao W, Yu Q, Qian X, Zhou J, Huo X, Tang F. SR-Unet: A Super-Resolution Algorithm for Ion Trap Mass Spectrometers Based on the Deep Neural Network. Anal Chem 2023; 95:17407-17415. [PMID: 37963290 DOI: 10.1021/acs.analchem.3c04172] [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: 11/16/2023]
Abstract
The mass spectrometer is an important tool for modern chemical analysis and detection. Especially, the emergence of miniature mass spectrometers has provided new tools for field analysis and detection. The resolution of a mass spectrometer reflects the ability of the instrument to discriminate between adjacent mass-to-charge ratio ions, and the higher the resolution, the better the discrimination of complex mixtures. Quadrupole ion traps are generally considered as a low-resolution mass spectrometry method, but they have gained wide attention and development in recent years because of their suitability for miniaturization and high qualitative capability. For an ion trap mass spectrometer, the mass sensitivity and resolution can be mutually constrained and need to be balanced by setting an appropriate scanning speed. In this study, a super-resolution U-net algorithm (SR-Unet) is proposed for ion trap mass spectrometry, which can estimate the possible ions from the overlapping ion peaks of low-resolution spectra and improve the equivalent resolution while ensuring sufficient sensitivity and analysis speed of the instrument. By determining the mass spectra of a linear ion trap mass spectrometer (LTQ XL) in Turbo and Normal scan modes, the same unit mass resolution as that at a scan speed of 16,667 Da/s was successfully obtained at 125,000 Da/s. Also, the experiments demonstrated that the algorithm is capable of the mass-to-charge ratio and instrument migration. SR-Unet can be migrated and applied to a miniature mass spectrometer for cruise detection of volatile organic compounds (VOCs), and the identification of VOC species in Photochemical Assessment Monitoring Stations (PAMS) was improved from 31 to 50 species with the same monitoring and analysis speed requirement. Further, super-unit mass resolution peptide detection was achieved on a miniature mass spectrometer with the help of the SR-Unet algorithm, which reduced the full width at half-maxima (FWHM) of bradykinin divalent ions (m/z 531) from 0.35 to 0.15 Da at a scan speed of 375 Da/s and improved the equivalent resolution to 3540. The proposed method provides a new idea to enhance the field mixture detection capability of miniature ion trap mass spectrometers.
Collapse
Affiliation(s)
- Jiawen Ai
- Division of Advanced Manufacturing, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Weize Zhao
- Division of Advanced Manufacturing, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Quan Yu
- Division of Advanced Manufacturing, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
| | - Xiang Qian
- Division of Advanced Manufacturing, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Xinming Huo
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Fei Tang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| |
Collapse
|
28
|
Su L, Liu X, Li X, Yang B, Wu B, Xia R, Qian J, Zhou J, Miao L. Correction to "Facile Synthesis of Vertically Arranged CNTs for Efficient Solar-Driven Interfacial Water Evaporation". ACS Omega 2023; 8:44374. [PMID: 38027369 PMCID: PMC10666210 DOI: 10.1021/acsomega.3c08339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Indexed: 12/01/2023]
Abstract
[This corrects the article DOI: 10.1021/acsomega.2c06706.].
Collapse
|
29
|
Yao J, Zhang Y, Shen J, Lei Z, Xiong J, Feng B, Li X, Li W, Ou D, Lu Y, Feng N, Yan M, Chen J, Chen L, Yang C, Wang L, Wang K, Zhou J, Liang P, Xu D. AI diagnosis of Bethesda category IV thyroid nodules. iScience 2023; 26:108114. [PMID: 37867955 PMCID: PMC10589877 DOI: 10.1016/j.isci.2023.108114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/20/2023] [Accepted: 09/29/2023] [Indexed: 10/24/2023] Open
Abstract
Thyroid nodules are a common disease, and fine needle aspiration cytology (FNAC) is the primary method to assess their malignancy. For the diagnosis of follicular thyroid nodules, however, FNAC has limitations. FNAC can classify them only as Bethesda IV nodules, leaving their exact malignant status and pathological type undetermined. This imprecise diagnosis creates difficulties in selecting the follow-up treatment. In this retrospective study, we collected ultrasound (US) image data of Bethesda IV thyroid nodules from 2006 to 2022 from five hospitals. Then, US image-based artificial intelligence (AI) models were trained to identify the specific category of Bethesda IV thyroid nodules. We tested the models using two independent datasets, and the best AI model achieved an area under the curve (AUC) between 0.90 and 0.95, demonstrating its potential value for clinical application. Our research findings indicate that AI could change the diagnosis and management process of Bethesda IV thyroid nodules.
Collapse
Affiliation(s)
- Jincao Yao
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
- Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, China
- Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology, Hangzhou 310000, China
| | - Yanming Zhang
- Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou 310014, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou 310014, China
| | - Jiafei Shen
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Zhikai Lei
- Zhejiang University School of Medicine, Affiliated Hangzhou First People’s Hospital, Hangzhou 310003, China
| | - Jing Xiong
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518055, China
| | - Bojian Feng
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
- Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Campus of Zhejiang Cancer Hospital(Taizhou Cancer Hospital), Taizhou 317502, China
| | - Xiaoxian Li
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Wei Li
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Di Ou
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Yidan Lu
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Na Feng
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Meiying Yan
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Jinjie Chen
- Department of Statistical Science, Baylor University, Waco, TX 76706, USA
| | - Liyu Chen
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Chen Yang
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Liping Wang
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
| | - Kai Wang
- Department of Ultrasound, The Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang 322100, China
| | - Jianhua Zhou
- Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Ping Liang
- Department of Ultrasound, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing 100853, China
| | - Dong Xu
- Department of Ultrasound, Zhejiang Cancer Hospital, Hangzhou 310022, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310000, China
- Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou 310022, China
- Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology, Hangzhou 310000, China
- Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Campus of Zhejiang Cancer Hospital(Taizhou Cancer Hospital), Taizhou 317502, China
| |
Collapse
|
30
|
Su L, Liu X, Xia W, Wu B, Li C, Xu B, Yang B, Xia R, Zhou J, Qian J, Miao L. Simultaneous photothermal and photocatalytic MOF- derived C/TiO 2 composites for high-efficiency solar driven purification of sewage. J Colloid Interface Sci 2023; 650:613-621. [PMID: 37437441 DOI: 10.1016/j.jcis.2023.07.014] [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: 05/25/2023] [Revised: 06/24/2023] [Accepted: 07/03/2023] [Indexed: 07/14/2023]
Abstract
Solar-driven water evaporation is a promising technology of freshwater production to address the water scarcity. However, the photothermal material and the distilled water would be contaminated in the evaporation of wastewater including organic pollutants. In this work, MOF-derived C/TiO2 composites (carbonized UiO-66-NH2 (Ti)) with simultaneous photothermal and photocatalytic functions are designed for producing freshwater from sewage. With advantageous features of porous structure with large specific area, excellent sunlight absorption and super-hydrophilicity, the carbonized UiO-66-NH2 (Ti) layer exhibits high water evaporation efficiency of 94% under 1.0 sun irradiation. Meanwhile, the layer can simultaneously decompose the organic pollutants with degradation efficiency of 92.7% in the underlying water during solar-driven water evaporation. This bifunctional material will provide a new approach for solar-driven water evaporation and photocatalytic degradation of organic pollutant synergistically.
Collapse
Affiliation(s)
- Lifen Su
- Anhui Province Key Laboratory of Environment-friendly Polymer Materials, School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China; School of Materials Science and Engineering, Anhui University, Hefei 230601, China
| | - Xiaoyu Liu
- Anhui Province Key Laboratory of Environment-friendly Polymer Materials, School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China
| | - Wei Xia
- Anhui Province Key Laboratory of Environment-friendly Polymer Materials, School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China
| | - Bin Wu
- Anhui Province Key Laboratory of Environment-friendly Polymer Materials, School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China
| | - Changjiang Li
- School of Materials Science and Engineering, Anhui University, Hefei 230601, China
| | - Bo Xu
- School of Materials Science and Engineering, Anhui University, Hefei 230601, China
| | - Bin Yang
- Anhui Province Key Laboratory of Environment-friendly Polymer Materials, School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China
| | - Ru Xia
- Anhui Province Key Laboratory of Environment-friendly Polymer Materials, School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China
| | - Jianhua Zhou
- Guangxi Key Laboratory of Information Materials, Engineering Research Center of Electronic Information Materials and Devices, Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, China
| | - Jiasheng Qian
- Anhui Province Key Laboratory of Environment-friendly Polymer Materials, School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China.
| | - Lei Miao
- Guangxi Key Laboratory for Relativity Astrophysics, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science and Technology, Guangxi University, Nanning 530004, China.
| |
Collapse
|
31
|
Gong X, Zheng J, Zhou J, Huebner ES, Tian L. Global and domain-specific self-esteem from middle childhood to early adolescence: Co-developmental trajectories and directional relations. J Pers 2023. [PMID: 37929313 DOI: 10.1111/jopy.12894] [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: 03/27/2023] [Revised: 10/12/2023] [Accepted: 10/15/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVE The study used both person-centered (i.e., parallel process latent class growth modeling) and variable-centered (i.e., random intercept cross-lagged panel modeling) approaches to examine developmental changes in global and domain-specific self-esteem from middle childhood to early adolescence. METHOD A total of 715 Chinese youth participated (54.3% boys; 45.7% girls; Mage = 9.96; SD = 0.51) in a 6-wave longitudinal study with 6-month intervals. RESULTS Parallel process latent class growth modeling identified three co-developmental trajectories of global and domain-specific self-esteem: Congruent high increasing and then flattening global and domain-specific self-esteem, congruent moderate domain-specific self-esteem with convex global self-esteem, and congruent low with concave appearance and global self-esteem. Results from random intercept cross-lagged panel modeling found reciprocal within-person associations between academic self-esteem and global self-esteem; global self-esteem significantly predicted social self-esteem, while physical appearance self-esteem significantly predicted global self-esteem. CONCLUSION Evidence was provided for top-down and bottom-up effects of self-esteem among Chinese youth. The findings provided new insight into the development of self-esteem in youth.
Collapse
Affiliation(s)
- Xue Gong
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, People's Republic of China
- School of Psychology, South China Normal University, Guangzhou, People's Republic of China
- Department of Psychology, Normal College, Qingdao University, Qingdao, People's Republic of China
| | - Jiamin Zheng
- School of Psychology, South China Normal University, Guangzhou, People's Republic of China
| | - Jianhua Zhou
- School of Psychology, South China Normal University, Guangzhou, People's Republic of China
| | - E Scott Huebner
- Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Lili Tian
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, People's Republic of China
| |
Collapse
|
32
|
Long H, Peng C, Ding H, Zheng Y, Zhou J, Chen W, Zhong X, Shi Y, Duan Y, Xie X, Kuang M, Xie X, Lin M. Predicting symptomatic post-hepatectomy liver failure in patients with hepatocellular carcinoma: development and validation of a preoperative nomogram. Eur Radiol 2023; 33:7665-7674. [PMID: 37314474 DOI: 10.1007/s00330-023-09803-w] [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: 08/06/2022] [Revised: 03/12/2023] [Accepted: 03/26/2023] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To develop and validate a nomogram based on liver stiffness (LS) for predicting symptomatic post-hepatectomy (PHLF) in patients with hepatocellular carcinoma (HCC). METHODS A total of 266 patients with HCC were enrolled prospectively from three tertiary referral hospitals from August 2018 to April 2021. All patients underwent preoperative laboratory examination to obtain parameters of liver function. Two-dimensional shear wave elastography (2D-SWE) was performed to measure LS. Three-dimensional virtual resection obtained the different volumes including future liver remnant (FLR). A nomogram was developed by using logistic regression and determined by receiver operating characteristic (ROC) curve analysis and calibration curve analysis, which was validated internally and externally. RESULTS A nomogram was constructed with the following variables: FLR ratio (FLR of total liver volume), LS greater than 9.5 kPa, Child-Pugh grade, and the presence of clinically significant portal hypertension (CSPH). This nomogram enabled differentiation of symptomatic PHLF in the derivation cohort (area under curve [AUC], 0.915), internal fivefold cross-validation (mean AUC, 0.918), internal validation cohort (AUC, 0.876) and external validation cohort (AUC, 0.845). The nomogram also showed good calibration in the derivation, internal validation, and external validation cohorts (Hosmer-Lemeshow goodness-of-fit test, p = 0.641, p = 0.06, and p = 0.127, respectively). Accordingly, the safe limit of the FLR ratio was stratified using the nomogram. CONCLUSION An elevated level of LS was associated with the occurrence of symptomatic PHLF in HCC. A preoperative nomogram integrating LS, clinical and volumetric features was useful in predicting postoperative outcomes in patients with HCC, which might help surgeons in the management of HCC resection. CLINICAL RELEVANCE STATEMENT A serial of the safe limit of the future liver remnant was proposed by a preoperative nomogram for hepatocellular carcinoma, which might help surgeons in 'how much remnant is enough in liver resection'. KEY POINTS • An elevated liver stiffness with the best cutoff value of 9.5 kPa was associated with the occurrence of symptomatic post-hepatectomy liver failure in hepatocellular carcinoma. • A nomogram based on both quality (Child-Pugh grade, liver stiffness, and portal hypertension) and quantity of future liver remnant was developed to predict symptomatic post-hepatectomy liver failure for HCC, which enabled good discrimination and calibration in both derivation and validation cohorts. • The safe limit of future liver remnant volume was stratified using the proposed nomogram, which might help surgeons in the management of HCC resection.
Collapse
Affiliation(s)
- Haiyi Long
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Chuan Peng
- Department of Ultrasonography, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Hong Ding
- Department of Ultrasound, Huashan Hospital, Fudan University. No. 12 Middle Urumqi Road, Shanghai, 200040, China
| | - Yun Zheng
- Department of Liver Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Jianhua Zhou
- Department of Ultrasonography, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Wei Chen
- Department of Pancreaticobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Xian Zhong
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Yifan Shi
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Yu Duan
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Xiaohua Xie
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Ming Kuang
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Xiaoyan Xie
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China.
| | - Manxia Lin
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China.
| |
Collapse
|
33
|
Zhou J, Ren Z, Gao X, Zhou X. Surgical site wound infection and wound pain after video-assisted thoracoscopy in patients with lung cancer: A meta-analysis. Int Wound J 2023; 20:3898-3905. [PMID: 37293742 PMCID: PMC10588326 DOI: 10.1111/iwj.14237] [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] [Received: 04/28/2023] [Revised: 05/05/2023] [Accepted: 05/09/2023] [Indexed: 06/10/2023] Open
Abstract
A meta-analysis was performed to comprehensively assess the effects of video-assisted thoracoscopy on surgical site wound infection and wound pain in patients with lung cancer. Studies on video-assisted thoracoscopy for lung cancer were collected from PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and Wanfang database, from inception to January 2023. Two researchers independently screened the literature, extracted the data, and evaluated the quality of the included studies according to the inclusion and exclusion criteria. Meta-analysis was performed using RevMan 5.4 software. Thirty-one articles with a total of 3608 patients were included, with 1809 in the video-assisted thoracoscopy group and 1799 in the control group. Compared with the control group, video-assisted thoracoscopy significantly reduced surgical site wound infection (odds ratio: 0.22, 95% confidence interval [CI]: 0.14-0.33, P < .001) and surgical site wound pain at postoperative day 1 (standardised mean difference [SMD]: -0.90, 95% CI: -1.17 to -0.64, P < .001) and postoperative day 3 (SMD: -1.59, 95% CI: -2.25 to -0.92, P < .001). Thus, these results showed that video-assisted thoracoscopy may have beneficial outcomes by reducing surgical site wound infection and pain. However, owing to the large variation in sample sizes and some methodological shortcomings, further validation is needed in future studies with higher quality and larger sample sizes.
Collapse
Affiliation(s)
- Jianhua Zhou
- Department of Surgery, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiChina
| | - Zhiguo Ren
- Department of Respiratory Medicine971 Hospital of Qingdao People's Liberation ArmyQingdaoChina
| | - Xiwen Gao
- Department of Pulmonary and Critical Care Medicine of Minhang HospitalFudan UniversityShanghaiChina
| | - Xiaohui Zhou
- Department of Respiratory MedicineShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghaiChina
| |
Collapse
|
34
|
Li G, Wen B, Yang J, Wu M, Zhou B, Ye X, Tang H, Zhou J, Cai J. Cost-Effective Nanophotonic Metasurfaces with Spatially Gradient Structures for Ultrasensitive Imaging-Based Refractometric Sensing. Small Methods 2023:e2300873. [PMID: 37884469 DOI: 10.1002/smtd.202300873] [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: 07/15/2023] [Indexed: 10/28/2023]
Abstract
Nanophotonic metasurfaces are widely utilized in various domains, such as biomedical, healthcare, and environmental monitoring, benefiting from their unique advantages of label-free, noninvasive, and real-time response. However, nanophotonic metasurfaces usually rely on sophisticated instruments, and expensive and time-consuming fabrication processes, which severely restricts their practical applications. Herein, a spatially gradient metasurface is integrated with an imaging-based sensing scheme, waiving the requirement of spectrometers and achieving an ultrahigh imaging-based sensitivity of 3321 pixels/refractive index unit superior to that characterized using conventional compact spectrometers. The metasurface is fabricated by nanoimprint lithography using a reusable cyclic olefin copolymer template featuring millions of unique nanostructures. Under the illumination of monochromatic light, the transmittance of different nanostructures on the metasurface differs, resulting in grayscale images with varied intensity distributions. Analyzing the intensity change of the metasurface's recorded image can obtain the covering medium's refractive index. Furthermore, through theory and experimentation, the high reliability of the proposed reusable and flexible template has been verified for nanophotonic metasurface fabrication which further reduces the fabrication cost of core sensing elements. Finally, with proper optimization of the metasurface structure and imaging system, this setup is expected to be applied to many emerging areas of point-of-care, real-time, and on-site biosensing.
Collapse
Affiliation(s)
- Guohua Li
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Baohua Wen
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Ji Yang
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Mingxi Wu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Bin Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Xiangyi Ye
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Hao Tang
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Jingxuan Cai
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| |
Collapse
|
35
|
Zhu L, Guo ZL, Zhao DD, Sa RL, Zhao GY, Zhang Y, Qiu LR, Zhou JH, Li WJ, Guo H, Shen YY, Li XZ, Chen ZS, Chen G. [Efficacy and prognosis of infant kidney transplantation]. Zhonghua Yi Xue Za Zhi 2023; 103:3010-3016. [PMID: 37587680 DOI: 10.3760/cma.j.cn112137-20230306-00338] [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: 08/18/2023]
Abstract
Objective: To analyze the effect and prognosis of infant kidney transplantation. Methods: Clinical data of 37 cases of infant kidney transplantation under 3 years old in Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology from June 1, 2017 to July 31, 2022 were retrospectively collected. These 37 cases included 31 primary kidney transplantation and 6 secondary kidney transplantation. Kaplan-Meier method was used to draw the survival curve of the transplanted kidney and the recipient, and the prognosis and complications were analyzed. Median follow-up was 18 months (range: 6-66 months). Results: The recipients were 20 males and 17 females, with a median age of 16 months (range: 2 months, 26 days to 36 months) and a median weight of 8 kg (range: 3.2 to 14.0 kg). The youngest child was only 2 months, 26 days old, and weighed only 3.2 kg. The most common primary disease of recipients was congenital nephrotic syndrome (13 cases, 41.9%). Intra-abdominal transplantation occurred in 19 cases (51.3%) and intra-iliac fossa transplantation occurred in the remaining 18 cases (48.6%). Postoperative renal function recovery was delayed in 7 cases (18.9%), and thrombosis caused renal function loss in 5 cases (13.5%), of which 4 cases received second renal transplantation and were successful. During the follow-up period, there were 11 cases of acute rejection (29.7%) and 6 cases of CMV pneumonia (16.2%). The estimated glomerular filtration rate 1 year after transplantation was higher than that 1 month after surgery [(101.9±22.1) vs (71.1±25.6) ml/(min·1.73m2), P<0.001], and remained constant 2 years after transplantation. Both the 1-year and 2-year survival rates of the transplanted kidney were 85.3%, and both the 1-year and 2-year survival rates of the recipients were 96.8%. Conclusion: Although the implementation of infant kidney transplantation is difficult, it can still achieve relatively satisfactory efficacy and prognosis.
Collapse
Affiliation(s)
- L Zhu
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China The Key Laboratory of Organ Transplantation, the Ministry of Education, the Key Laboratory of Organ Transplantation, National Health Commission, the Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 430030, China
| | - Z L Guo
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - D D Zhao
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China The Key Laboratory of Organ Transplantation, the Ministry of Education, the Key Laboratory of Organ Transplantation, National Health Commission, the Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 430030, China
| | - R L Sa
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - G Y Zhao
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China The Key Laboratory of Organ Transplantation, the Ministry of Education, the Key Laboratory of Organ Transplantation, National Health Commission, the Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 430030, China
| | - Y Zhang
- Department of Pediatrics, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - L R Qiu
- Department of Pediatrics, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J H Zhou
- Department of Pediatrics, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - W J Li
- Department of Pharmacy, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - H Guo
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China The Key Laboratory of Organ Transplantation, the Ministry of Education, the Key Laboratory of Organ Transplantation, National Health Commission, the Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 430030, China
| | - Y Y Shen
- Department of Renal Immunology Affiliated to Children's Hospital of Soochow University, Suzhou 215000, China
| | - X Z Li
- Department of Renal Immunology Affiliated to Children's Hospital of Soochow University, Suzhou 215000, China
| | - Z S Chen
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China The Key Laboratory of Organ Transplantation, the Ministry of Education, the Key Laboratory of Organ Transplantation, National Health Commission, the Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 430030, China
| | - G Chen
- Institute of Organ Transplantation, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China The Key Laboratory of Organ Transplantation, the Ministry of Education, the Key Laboratory of Organ Transplantation, National Health Commission, the Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 430030, China
| |
Collapse
|
36
|
Zhou Y, Ai J, Cai L, Yan Y, Wang B, Ma H, Yu Q, Zhou J, Huo X. Deep learning enabled miniature mass spectrometer for rapid qualitative and quantitative analysis of pesticides on vegetable surfaces. Food Chem Toxicol 2023; 180:114000. [PMID: 37648105 DOI: 10.1016/j.fct.2023.114000] [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] [Received: 06/27/2023] [Revised: 08/10/2023] [Accepted: 08/19/2023] [Indexed: 09/01/2023]
Abstract
Excessive pesticide use poses a significant threat to food safety. Rapid on-site detection of multi-target pesticide residues in vegetables is crucial due to their widespread distribution and limited shelf life. In this study, a rapid on-site screening method for pesticide residues on vegetable surfaces was developed by employing a miniature mass spectrometer. A direct pretreatment method involves placing vegetables and elution solution into a customized flexible ziplock bag, allowing thorough mixing, washing, and filtration. This process effectively removes pesticide residues from vegetable surfaces with minimal organic solvent usage and can be completed within 2 min. Moreover, this study introduced a deep learning algorithm based on a one-dimensional convolutional neural network, coupled with a feature database, to autonomously discriminate detection outcomes. By combining full scan MS and tandem MS analysis methods, the proposed method achieved a qualitative recognition accuracy of 99.62%. Following the qualitative discrimination stage, the target pesticide residue and internal standard can be simultaneously isolated and fragmented in the ion trap, thus enabling on-site quantitative analysis and warning. This method achieved a quantitative detection limit of 10 μg/kg for carbendazim in cowpea. These results demonstrate the feasibility of the proposed analytical system and strategy in food safety applications.
Collapse
Affiliation(s)
- Yuanhao Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, People's Republic of China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, People's Republic of China
| | - Jiawen Ai
- Division of Advanced Manufacturing, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, People's Republic of China
| | - Lingli Cai
- Chongqing Institute for Food and Drug Control, Key Laboratory of Condiment Supervision Technology for State Market Regulation, Chongqing 401120, People's Republic of China.
| | - Yiyong Yan
- R&D Department, Shenzhen Senlanthy Technology Co., Ltd., Shenzhen 518101, People's Republic of China; Shenzhen Bioeasy Biotechnology Co., Ltd., Shenzhen 518101, People's Republic of China
| | - BingZhi Wang
- Shenzhen Bioeasy Biotechnology Co., Ltd., Shenzhen 518101, People's Republic of China
| | - Hongzhen Ma
- R&D Department, Shenzhen Senlanthy Technology Co., Ltd., Shenzhen 518101, People's Republic of China
| | - Quan Yu
- Division of Advanced Manufacturing, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, People's Republic of China
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, People's Republic of China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, People's Republic of China
| | - Xinming Huo
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, People's Republic of China; Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, People's Republic of China.
| |
Collapse
|
37
|
Zhou J, Gong X, Lu G, Xu X, Zhao H, Yang X. Bidirectional spillover between maladaptive parenting and peer victimization and the mediating roles of internalizing and externalizing problems: A within-person analysis among Chinese early adolescents. Dev Psychopathol 2023; 35:2044-2060. [PMID: 35959656 DOI: 10.1017/s0954579422000682] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Parenting practices and relationships with peers are crucial aspects of youth socialization. Although theoretically expected reciprocal associations between changes in maladaptive parenting and adolescent peer victimization exist, there is a lack of studies that examine this link and address the mediating mechanisms at the within-person level. This longitudinal study examined reciprocal relations between peer victimization and two types of maladaptive parenting including harsh punishment and psychological control, and the potential mediating roles of internalizing and externalizing problems within these relations, by disentangling between- and within-person effects. A total of 4,731 Chinese early adolescents (44.9% girls; M age = 10.91 years, SD = 0.72) participated in a four-wave longitudinal study with 6-month intervals. The results of random intercept cross-lagged panel modeling showed: (a) harsh punishment did not directly predict peer victimization, and vice versa; (b) psychological control directly predicted peer victimization, and vice versa; (c) psychological control indirectly predicted peer victimization via internalizing problems, and peer victimization also indirectly predicted psychological control via internalizing problems. These findings provide evidence of a bidirectional spillover effect between psychological control and peer victimization at the within-person level, suggesting Chinese early adolescents may become caught in a vicious cycle directly or indirectly via their internalizing problems.
Collapse
Affiliation(s)
- Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xue Gong
- School of Psychology, South China Normal University, Guangzhou, China
| | - Guangying Lu
- Gannan Tibetan Autonomous Prefecture Health School, Gannan Tibetan Autonomous Prefecture, China
| | | | - Haiyan Zhao
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xiaoli Yang
- School of Psychology, Northwest Normal University, Lanzhou, China
| |
Collapse
|
38
|
Feng X, Wang H, Wang M, Pu F, Zhao Z, Li Y, Ma X, Ma Z, Zhou J. [The role of natural killer cells in anti-infection and tumor therapy]. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 2023; 39:952-958. [PMID: 37882720] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
Natural killer (NK) cells are an important part of the body's innate immune system. As the first line of defense against pathogens, they need to be transformed into a mature state under the control of various cell signaling molecules and transcription factors to play cytotoxic and immune regulatory roles. Under the interaction of activated receptors and inhibitory receptors, NK cells are activated to perform a direct cell killing effect by secreting perforin and granzyme, or indirectly eliminate pathogenic microorganisms in the body by secreting various cytokines, such as type I and type II interferons. These functions of NK cells play a very important role in antiviral and anti-autoimmune diseases, especially in anti-tumor.
Collapse
Affiliation(s)
- Xili Feng
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Life Science and Engineering College of Northwest Minzu University, Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Lanzhou 730010, China
| | - Huihui Wang
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Life Science and Engineering College of Northwest Minzu University, Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Lanzhou 730010, China
| | - Mengzhu Wang
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Life Science and Engineering College of Northwest Minzu University, Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Lanzhou 730010, China
| | - Feiyang Pu
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Life Science and Engineering College of Northwest Minzu University, Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Lanzhou 730010, China
| | - Zeyang Zhao
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Life Science and Engineering College of Northwest Minzu University, Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Lanzhou 730010, China
| | - Yicong Li
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Life Science and Engineering College of Northwest Minzu University, Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Lanzhou 730010, China
| | - Xiaoxia Ma
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Life Science and Engineering College of Northwest Minzu University, Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Lanzhou 730010, China
| | - Zhongren Ma
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, China
| | - Jianhua Zhou
- Biomedical Research Center, Northwest Minzu University, Lanzhou 730030; Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China. *Corresponding author, E-mail:
| |
Collapse
|
39
|
Li H, Zhou J, Yu J, Zhao J. Light-activated cellulose nanocrystals/fluorinated polyacrylate-based waterborne coating: Facile preparation, mechanical and self-healing behavior. Int J Biol Macromol 2023; 249:126062. [PMID: 37524288 DOI: 10.1016/j.ijbiomac.2023.126062] [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] [Received: 04/17/2023] [Revised: 07/10/2023] [Accepted: 07/28/2023] [Indexed: 08/02/2023]
Abstract
The development of environmental-friendly self-healing nanocomposites has attracted much attention. In this paper, the light-activated cellulose nanocrystals/ fluorinated polyacrylate-based waterborne coating based on the reversible cycloaddition reaction of the coumarin groups was prepared via Pickering emulsion polymerization. The cellulose nanocrystals (CNCs) modified by the PDMAEMA-b-PGMA-b-P(HFBA-co-VBMC) copolymer were studied via FT-IR and TGA. In addition, the dispersity and interface behavior of CNCs before and after modification were investigated by DLS and interfacial tension measurements. Afterwards, we focused on the influence of modified CNCs, PDMAEMA-g-CNC-g- P(HFBA-co-VBMC) (MCNC) dosage on the Pickering emulsion, emulsion polymerization and properties of latex film. The droplet diameter of Pickering emulsion gradually reduced with the increase of MCNC dosage. The MCNC dosage for the minimum average size and optimum stability of latex particles was 1.0 wt%. Moreover, the latex film comprising 1.0 wt% MCNC presented not only high tensile stress (6.0 MPa), large elongation at break (567.70 %) and superior oil/water repellency but also excellent self-healing properties. The outstanding self-healing capability of latex film was attributed to the reversible light-activated dimerization of coumarin groups. The preparation method for the advanced performance waterborne cellulose nanocrystals/fluorinated polyacrylate will provide valuable guidance for the development of versatile materials.
Collapse
Affiliation(s)
- Hong Li
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China; National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Jianhua Zhou
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China; National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, China.
| | - Jiarui Yu
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China; National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Jiaojiao Zhao
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China; National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, China
| |
Collapse
|
40
|
Zhao J, Zhou J, Li H, Xiao A. Ti 3C 2T x MXene and cellulose-based aerogel phase change composite decorated laminated fabric with excellent electro/solar-thermal conversion and high latent heat. Carbohydr Polym 2023; 316:121031. [PMID: 37321709 DOI: 10.1016/j.carbpol.2023.121031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/04/2023] [Accepted: 05/14/2023] [Indexed: 06/17/2023]
Abstract
Wearable heaters have attracted growing attention for maintaining a relatively constant temperature of the human body in cold environments with near zero energy consumption. Herein, we developed a multifunctional laminated fabric with fascinating electro/solar-thermal conversion, thermal energy storage and thermal insulation properties. With cotton fabric as the substrate, MXene/polydimethylsiloxane (PDMS) conductive network was decorated on the upper layer, and carbon nanotube (CNT)/cellulose nanofiber (CNF)/paraffin (PA) aerogel phase change composites were assembled on the bottom layer. Attributed to the strong conductivity and light absorption of MXene and the light/thermal response of CNT and PA components, this wearable laminated fabric broke the limitation of intermittent solar photothermal heating, and integrated multiple heating modes to precisely heat the human body. Meanwhile, the low thermal conductivity of aerogel retarded heat loss. The laminated fabric can help people better adapt to a variety of complex and changeable environments such as cold winter, rainy days and nights. This study provides a promising and energy-efficient avenue for the development of all-day personal thermal management fabrics.
Collapse
Affiliation(s)
- Jiaojiao Zhao
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China; National Demonstration Center for Experimental Light Chemistry Engineering Education (Shaanxi University of Science and Technology), Xi'an 710021, Shaanxi, China
| | - Jianhua Zhou
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China; National Demonstration Center for Experimental Light Chemistry Engineering Education (Shaanxi University of Science and Technology), Xi'an 710021, Shaanxi, China.
| | - Hong Li
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China; National Demonstration Center for Experimental Light Chemistry Engineering Education (Shaanxi University of Science and Technology), Xi'an 710021, Shaanxi, China
| | - Anguo Xiao
- Hunan Provincial Key Laboratory of Water Treatment Functional Materials, Hunan University of Arts and Science, Changde 415000, Hunan, China
| |
Collapse
|
41
|
Yang D, Yu Z, Zheng M, Yang W, Liu Z, Zhou J, Huang L. Artificial intelligence-accelerated high-throughput screening of antibiotic combinations on a microfluidic combinatorial droplet system. Lab Chip 2023; 23:3961-3977. [PMID: 37605875 DOI: 10.1039/d3lc00647f] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Microfluidic platforms have been employed as an effective tool for drug screening and exhibit the advantages of lower reagent consumption, higher throughput and a higher degree of automation. Despite the great advancement, it remains challenging to screen complex antibiotic combinations in a simple, high-throughput and systematic manner. Meanwhile, the large amounts of datasets generated during the screening process generally outpace the abilities of the conventional manual or semi-automatic data analysis. To address these issues, we propose an artificial intelligence-accelerated high-throughput combinatorial drug evaluation system (AI-HTCDES), which not only allows high-throughput production of antibiotic combinations with varying concentrations, but can also automatically analyze the dynamic growth of bacteria under the action of different antibiotic combinations. Based on this system, several antibiotic combinations displaying an additive effect are discovered, and the dosage regimens of each component in the combinations are determined. This strategy not only provides useful guidance in the clinical use of antibiotic combination therapy and personalized medicine, but also offers a promising tool for the combinatorial screenings of other medicines.
Collapse
Affiliation(s)
- Deyu Yang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Ziming Yu
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Mengxin Zheng
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Wei Yang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Zhangcai Liu
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Jianhua Zhou
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Lu Huang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| |
Collapse
|
42
|
Wang Z, Wei M, Liu Q, Lu X, Zhou J, Wang J. Oxygen-defective zinc oxide nanoparticles as highly efficient and safe sonosensitizers for cancer therapy. Chem Commun (Camb) 2023; 59:10968-10971. [PMID: 37609958 DOI: 10.1039/d3cc02486e] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Herein, an oxygen defect-modulated zinc oxide sonosensitizer is designed, which enhances the absorbance of ultrasound energy and suppresses the recombination of ultrasound-initiated electrons and holes to promote reactive oxygen species yield. It achieves a high tumor inhibition efficiency of 79.9%, which exhibits a potential application for sonodynamic cancer therapy.
Collapse
Affiliation(s)
- Zifan Wang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, The Key Lab of Low-carbon Chem & Energy Conservation of Guangdong Province, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, P. R. China.
| | - Mingjie Wei
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, The Key Lab of Low-carbon Chem & Energy Conservation of Guangdong Province, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, P. R. China.
| | - Qiyu Liu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, The Key Lab of Low-carbon Chem & Energy Conservation of Guangdong Province, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, P. R. China.
| | - Xihong Lu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, The Key Lab of Low-carbon Chem & Energy Conservation of Guangdong Province, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, P. R. China.
| | - Jianhua Zhou
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, The Key Lab of Low-carbon Chem & Energy Conservation of Guangdong Province, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, P. R. China.
| | - Jianwei Wang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, The Key Lab of Low-carbon Chem & Energy Conservation of Guangdong Province, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, P. R. China.
| |
Collapse
|
43
|
Yang X, Yu X, Nie H, Jiang W, Zhou J, Ou C, He X. Comprehensive analysis of prognostic value and immune infiltration of IAPs family in hepatocellular carcinoma. J Cancer 2023; 14:2848-2866. [PMID: 37781078 PMCID: PMC10539558 DOI: 10.7150/jca.87590] [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: 06/29/2023] [Accepted: 08/28/2023] [Indexed: 10/03/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a malignant tumor with high morbidity and mortality rates. The inhibitors of apoptosis (IAP) family act as oncogenes in various tumor types; however, their functions in HCC remain unclear. Here, we used integrated bioinformatics analysis and experimental verification to assess the expression and the prognostic and clinical value of the IAP family in HCC. Using the University of Alabama at Birmingham Cancer Data Analysis Portal (UALCAN) and the Tumor Immune Estimation Resource (TIMER), we analyzed the expression profiles of IAP family members in HCC tissue, normal tissues, and in patients with different stages and grades of HCC. We further verified the expression level of BIRC2 in 25 HCC samples and matched adjacent normal tissues using quantitative real-time PCR (qRT-PCR), and analyzed its correlation with the marker gene of T-helper type 1 cells (Th1)-STAT1. Meanwhile, the association between BIRC2 and the immunotherapeutic response or immunomodulators was confirmed using the Biomarker Exploration of Solid Tumors (BEST) database. The results showed that NAIP, BIRC2, BIRC3, XIAP, BIRC5, and BIRC6 mRNAs were overexpressed in HCC. The clinical stages, pathological grades, and other clinicopathological features of HCC were closely related to the expression levels of the IAP family members, especially the BIRC2 and BIRC5, which were found to be potential prognostic biomarkers for HCC. Expression of the IAPs was strongly associated with immune cell infiltration. Based on the infiltrative status of various immune cells, HCC patients with high BIRC2 and BIRC5 expression demonstrated poor overall survival (OS) rates. In patients with HCC, BIRC2 expression was noticeably elevated. Concurrently, the expression levels of BIRC2 and STAT1 showed a favorable correlation. BEST database analysis revealed that BIRC2 was a negative predictor of responsiveness to anti-programmed cell death ligand 1 (PD-L1)/cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4) inhibitor treatment in HCC, and BIRC2 mRNA expression levels were positively correlated with the expression levels of the immune checkpoint genes programmed cell death protein 1 (PD-1), PD-L1, and CTLA-4 in HCC. Consequently, the IAP family may play a role in carcinogenesis and cancer-immune system interactions in HCC. Our results demonstrate that IAP family members may be viable predictive biomarkers and therapeutic targets for HCC.
Collapse
Affiliation(s)
- Xuejie Yang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Xiaoqian Yu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Hui Nie
- Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Wenying Jiang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Jianhua Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Chunlin Ou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Xiaoyun He
- Departments of Ultrasound Imaging, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
44
|
Zhou J, Zhang L, Gong X. Longitudinal network relations between symptoms of problematic internet game use and internalizing and externalizing problems among Chinese early adolescents. Soc Sci Med 2023; 333:116162. [PMID: 37597420 DOI: 10.1016/j.socscimed.2023.116162] [Citation(s) in RCA: 1] [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] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 06/07/2023] [Accepted: 08/06/2023] [Indexed: 08/21/2023]
Abstract
OBJECTIVE There has been growing evidence of comorbidity between problematic internet game use and internalizing and externalizing problems in young people. However, little is known about the directionality and gender differences in these longitudinal relations at the symptoms level in the framework of network theory among youth. This study estimated the longitudinal relations between the symptoms of problematic internet game use, internalizing and externalizing problems, and the gender differences of these relations in Chinese youth using cross-lagged panel network modeling (CLPN). METHODS A sample of 1269 Chinese youth (M age = 10.35 years) participated in this study semi-annually at two time points. CLPN analysis was used to calculate the network model of problematic internet game use and internalizing and externalizing problems to explore bridge symptoms and find transmission pathways between problematic internet game use and internalizing and externalizing problems. RESULTS The CLPN revealed significant gender differences. For boys, depressed mood, which leads to relationships turning sour in order to play online games, bridges the relations between internalizing symptoms and problematic internet game use. For girls, irritability is the central predictive symptom, causing a range of problems related to problematic internet game use, which can, in turn, lead to fights or feelings of worthlessness. However, the effect sizes for the pathways between problematic internet game use and internalizing/externalizing problems were relatively weak, and the comorbidity between their relations should not be over-interpreted. CONCLUSIONS The current findings provide new evidence for understanding the directional relationship between the central characteristics of problematic internet game use and internalizing and externalizing problems in boys and girls. Gender-specific interventions targeting the central symptoms of internalizing and externalizing problems and problematic internet game use can help mitigate the vicious cycle of comorbidity among adolescents.
Collapse
Affiliation(s)
- Jianhua Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China.
| | - Lulu Zhang
- School of Psychology, University of Glasgow, Glasgow, UK.
| | - Xue Gong
- Department of Psychology, Normal College, Qingdao University, Qingdao, China.
| |
Collapse
|
45
|
Zhang X, Zhou J, Wang Y, Wang X, Zhu B, Xing Q. Elevated CDC45 Expression Predicts Poorer Overall Survival Prognoses and Worse Immune Responses for Kidney Renal Clear Cell Carcinoma via Single-Cell and Bulk RNA-Sequencing. Biochem Genet 2023:10.1007/s10528-023-10500-y. [PMID: 37642814 DOI: 10.1007/s10528-023-10500-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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/09/2023] [Indexed: 08/31/2023]
Abstract
The main objective of this paper is to analyze the prognostic and immunological value of CDC45 in kidney renal clear cell carcinoma (KIRC) using single-cell and bulk RNA-sequencing approaches. The expression of CDC45 in KIRC was evaluated by the HPA database, the TCGA-KIRC dataset and verified by PCR analysis and single-cell RNA-sequencing. The ability of CDC45 to independently predict prognosis in KIRC was confirmed by univariate/multivariate regression analysis. Gene set enrichment analysis (GSEA) was employed to explore CDC45-related pathways in KIRC. In addition, Relationships between CDC45 and immunity were also examined. Elevated CDC45 expression in KIRC was demonstrated at mRNA and protein levels. The results of the correlation analysis showed that as CDC45 expression increased, so did the histological grade, clinical stage, and TNM stage of the patients (p < 0.05). Univariate/multivariate regression analysis suggested CDC45 as an independent prognostic factor for KIRC. Seven pathways related to CDC45 were screened through GSEA. Meanwhile, we found that CDC45 was correlated with tumor mutational burden (TMB) and microsatellite instability (MSI) but not tumor neoantigen burden (TNB). Regarding immunity, CDC45 exhibited correlations with the tumor microenvironment, immune cell infiltration, and immune checkpoints. Besides, low CDC45 expression was shown to be associated with a better response to immunotherapy. Single-cell RNA-sequencing revealed that CDC45 was differently expressed in T cells (p < 0.05). CDC45 showed potential as a prognostic biomarker and therapeutic target for KIRC. Meanwhile, the CDC45 low expression group was more sensitive to immunotherapy.
Collapse
Affiliation(s)
- Xinyu Zhang
- Department of Urology, Affiliated Hospital of Nantong University, No.20 West Temple Road, Nantong, 226001, Jiangsu Province, China
- Department of Urology, Lanzhou University Second Hospital, Lanzhou, 730000, Gansu Province, China
| | - Jianhua Zhou
- Department of Urology, Affiliated Hospital of Nantong University, No.20 West Temple Road, Nantong, 226001, Jiangsu Province, China
| | - Yong Wang
- Department of Urology, Shanghai Jiangqiao Hospital, Shanghai General Hospital Jiading Branch, Jiading District, Shanghai, 201803, China
| | - Xing Wang
- Department of Urology, Zhenjiang Hospital of Chinese Traditional and Western Medicine, Zhenjiang, 212000, Jiangsu Province, China
| | - Bingye Zhu
- Department of Urology, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), No. 881 Yonghe Road, Nantong, 226001, Jiangsu Province, China.
| | - Qianwei Xing
- Department of Urology, Affiliated Hospital of Nantong University, No.20 West Temple Road, Nantong, 226001, Jiangsu Province, China.
| |
Collapse
|
46
|
Dong J, Zhou J, Tang H, Chen B, Huang L. Laser-guided programmable construction of cell-laden hydrogel microstructures for in vitrodrug evaluation. Biofabrication 2023; 15:045011. [PMID: 37406632 DOI: 10.1088/1758-5090/ace47d] [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] [Received: 11/17/2022] [Accepted: 07/05/2023] [Indexed: 07/07/2023]
Abstract
Cell-laden hydrogel microstructures have been used in broad applications in tissue engineering, translational medicine, and cell-based assays for pharmaceutical research. However, the construction of cell-laden hydrogel microstructuresin vitroremains challenging. The technologies permitting generation of multicellular structures with different cellular compositions and spatial distributions are needed. Herein, we propose a laser-guided programmable hydrogel-microstructures-construction platform, allowing controllable and heterogeneous assembly of multiple cellular spheroids into spatially organized multicellular structures with good bioactivity. And the cell-laden hydrogel microstructures could be further leveraged forin vitrodrug evaluation. We demonstrate that cells within hydrogels exhibit significantly higher half-maximal inhibitory concentration values against doxorubicin compared with traditional 2D plate culture. Moreover, we reveal the differences in drug responses between heterogeneous and homogeneous cell-laden hydrogel microstructures, providing valuable insight intoin vitrodrug evaluation.
Collapse
Affiliation(s)
- Jianpei Dong
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, People's Republic of China
| | - Jianhua Zhou
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, People's Republic of China
| | - Hao Tang
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, People's Republic of China
| | - Baiqi Chen
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, People's Republic of China
| | - Lu Huang
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, People's Republic of China
| |
Collapse
|
47
|
Li L, Zou X, Zheng W, Li Y, Xu X, Li K, Su Z, Han J, Li Q, Zuo Y, Xie S, Wen H, Wang J, Guo Z, Zou R, Zhou J. Contrast-enhanced US with Sulfur Hexafluoride and Perfluorobutane: LI-RADS for Diagnosing Hepatocellular Carcinoma. Radiology 2023; 308:e230150. [PMID: 37642573 DOI: 10.1148/radiol.230150] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Background Liver Imaging Reporting and Data System (LI-RADS) was designed for contrast-enhanced US (CEUS) with pure blood pool agents to diagnose hepatocellularfcarcinoma (HCC), such as sulfur hexafluoride (SHF), but Kupffer-cell agents, such as perfluorobutane (PFB), allow additional lesion characterization in the Kupffer phase yet remain unaddressed. Purpose To compare the diagnostic performance of three algorithms for HCC diagnosis: two algorithms based on CEUS LI-RADS version 2017 for both SHF and PFB and a modified algorithm incorporating Kupffer-phase findings for PFB. Materials and Methods This multicenter prospective study enrolled high-risk patients for HCC from June 2021 to December 2021. Each participant underwent same-day SHF-enhanced US followed by PFB-enhanced US. Each liver observation was assigned three LI-RADS categories according to each algorithm: LI-RADS SHF, LI-RADS PFB, and modified PFB. For modified PFB, observations at least 10 mm with nonrim arterial phase hyperenhancement were upgraded LR-4 to LR-5 if there was no washout with a Kupffer defect and were reassigned LR-M to LR-5 if there was early washout with mild Kupffer defect. The reference standard was pathologic confirmation or composite (typical CT or MRI features, or 1-year size stability and/or reduction). Diagnostic metrics of LR-5 for HCC using the three algorithms were calculated and compared using the McNemar test. Results Overall, 375 patients (mean age, 56 years ± 11 [SD]; 318 male patients, 57 female patients) with 424 observations (345 HCCs, 40 non-HCC malignancies, 39 benign lesions) were enrolled. PFB and SHF both using LI-RADS showed no significant difference in sensitivity (60% vs 58%; P = .41) and specificity (96% vs 95%; P > .99). The modified algorithm with PFB had increased sensitivity (80% vs 58%; P < .001) and a nonsignificant decrease in specificity (92% vs 95%; P = .73) compared with LI-RADS SHF. Conclusion Based on CEUS LI-RADS version 2017, both SHF and PFB achieved high specificity and relatively low sensitivity for HCC diagnosis. When incorporating Kupffer-phase findings, PFB had higher sensitivity without loss of specificity. Chinese Clinical Trial Registry no. ChiCTR2100047035 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Kim in this issue.
Collapse
Affiliation(s)
- Lingling Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Xuebin Zou
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Wei Zheng
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Yu Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Xiaohong Xu
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Kai Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Zhongzhen Su
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Jing Han
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Qing Li
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Yanling Zuo
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Shousong Xie
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Hong Wen
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Jianwei Wang
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Zhixing Guo
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Ruhai Zou
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| | - Jianhua Zhou
- From the Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou 510060, China (L.L., X.Z., W.Z., Y.L., J.H., Q.L., J.W., Z.G., R.Z., J.Z.); Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China (Y.L.); Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China (X.X.); Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (K.L.); Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China (Z.S.); Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China (Y.Z.); Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China (S.X.); and Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.)
| |
Collapse
|
48
|
Huang Y, Yao Z, Li L, Mao R, Huang W, Hu Z, Hu Y, Wang Y, Guo R, Tang X, Yang L, Wang Y, Luo R, Yu J, Zhou J. Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers. EBioMedicine 2023; 94:104706. [PMID: 37478528 PMCID: PMC10393555 DOI: 10.1016/j.ebiom.2023.104706] [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] [Received: 04/06/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND For patients with early-stage breast cancers, neoadjuvant treatment is recommended for non-luminal tumors instead of luminal tumors. Preoperative distinguish between luminal and non-luminal cancers at early stages will facilitate treatment decisions making. However, the molecular immunohistochemical subtypes based on biopsy specimens are not always consistent with final results based on surgical specimens due to the high intra-tumoral heterogeneity. Given that, we aimed to develop and validate a deep learning radiopathomics (DLRP) model to preoperatively distinguish between luminal and non-luminal breast cancers at early stages based on preoperative ultrasound (US) images, and hematoxylin and eosin (H&E)-stained biopsy slides. METHODS This multicentre study included three cohorts from a prospective study conducted by our team and registered on the Chinese Clinical Trial Registry (ChiCTR1900027497). Between January 2019 and August 2021, 1809 US images and 603 H&E-stained whole slide images (WSIs) from 603 patients with early-stage breast cancers were obtained. A Resnet18 model pre-trained on ImageNet and a multi-instance learning based attention model were used to extract the features of US and WSIs, respectively. An US-guided Co-Attention module (UCA) was designed for feature fusion of US and WSIs. The DLRP model was constructed based on these three feature sets including deep learning US feature, deep learning WSIs feature and UCA-fused feature from a training cohort (1467 US images and 489 WSIs from 489 patients). The DLRP model's diagnostic performance was validated in an internal validation cohort (342 US images and 114 WSIs from 114 patients) and an external test cohort (270 US images and 90 WSIs from 90 patients). We also compared diagnostic efficacy of the DLRP model with that of deep learning radiomics model and deep learning pathomics model in the external test cohort. FINDINGS The DLRP yielded high performance with area under the curve (AUC) values of 0.929 (95% CI 0.865-0.968) in the internal validation cohort, and 0.900 (95% CI 0.819-0.953) in the external test cohort. The DLRP also outperformed deep learning radiomics model based on US images only (AUC 0.815 [0.719-0.889], p = 0.027) and deep learning pathomics model based on WSIs only (AUC 0.802 [0.704-0.878], p = 0.013) in the external test cohort. INTERPRETATION The DLRP can effectively distinguish between luminal and non-luminal breast cancers at early stages before surgery based on pretherapeutic US images and biopsy H&E-stained WSIs, providing a tool to facilitate treatment decision making in early-stage breast cancers. FUNDING Natural Science Foundation of Guangdong Province (No. 2023A1515011564), and National Natural Science Foundation of China (No. 91959127; No. 81971631).
Collapse
Affiliation(s)
- Yini Huang
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhao Yao
- School of Information Science and Technology, Fudan University, Shanghai, China
| | - Lingling Li
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Rushuang Mao
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Weijun Huang
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, Foshan First People's Hospital, Foshan, Guangdong, China
| | - Zhengming Hu
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Yixin Hu
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yun Wang
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Ruohan Guo
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiaofeng Tang
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Liang Yang
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yuanyuan Wang
- School of Information Science and Technology, Fudan University, Shanghai, China
| | - Rongzhen Luo
- Department of Pathology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
| | - Jinhua Yu
- School of Information Science and Technology, Fudan University, Shanghai, China.
| | - Jianhua Zhou
- Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
| |
Collapse
|
49
|
Yang Y, Cairang Y, Jiang T, Zhou J, Zhang L, Qi B, Ma S, Tang L, Xu D, Bu L, Bu R, Jing X, Wang H, Zhou Z, Zhao C, Luo B, Liu L, Guo J, Nima Y, Hua G, Wa Z, Zhang Y, Zhou G, Jiang W, Wang C, De Y, Yu X, Cheng Z, Han Z, Liu F, Dou J, Feng H, Wu C, Wang R, Hu J, Yang Q, Luo Y, Wu J, Fan H, Liang P, Yu J. Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study. Lancet Digit Health 2023; 5:e503-e514. [PMID: 37507196 DOI: 10.1016/s2589-7500(23)00091-2] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 03/08/2023] [Accepted: 04/29/2023] [Indexed: 07/30/2023]
Abstract
BACKGROUND Ultrasonography is the most widely used technique to diagnose echinococcosis; however, challenges in using this technique and the demand on medical resources, especially in low-income or remote areas, can delay diagnosis. We aimed to develop a deep convolutional neural network (DCNN) model based on ultrasonography to identify echinococcosis and its types, especially alveolar echinococcosis. METHODS This retrospective, large-scale, multicentre study used ultrasound images from patients assessed at 84 hospitals in China, obtained between Jan 1, 2002, and Dec 31, 2021. Patients with a diagnosis of cystic echinococcosis, alveolar echinococcosis, or seven other types of focal liver lesions were included. We tested ResNet-50, ResNext-50, and VGG-16 as the backbone network architecture for a classification DCNN model and input the perinodular information from the ultrasound images. We trained and validated the DCNN model to diagnose and classify echinococcosis using still greyscale ultrasound images of focal liver lesions in four stages: differentiating between echinococcosis and other focal liver lesions (stage one); differentiating cystic echinococcosis, alveolar echinococcosis, and other focal liver lesions (stage two); differentiating cystic echinococcosis, alveolar echinococcosis, benign other focal liver lesions, and malignant focal liver lesions (stage three); and differentiating between active and transitional cystic echinococcosis and inactive cystic echinococcosis (stage four). We then tested the algorithm on internal, external, and prospective test datasets. The performance of DCNN was also compared with that of 12 radiologists recruited between Jan 15, 2022, and Jan 28, 2022, from Qinghai, Xinjiang, Anhui, Henan, Xizang, and Beijing, China, with different levels of diagnostic experience for echinococcosis and other focal liver lesions in a subset of ultrasound data that were randomly chosen from the prospective test dataset. The study is registered at ClinicalTrials.gov (NCT03871140). FINDINGS The study took place between Jan 1, 2002, and Dec 31, 2021. In total, to train and test the DCNN model, we used 9631 liver ultrasound images from 6784 patients (2819 [41·7%] female patients and 3943 [58·3%] male patients) from 87 Chinese hospitals. The DCNN model was trained with 6328 images, internally validated with 984 images, and tested with 2319 images. The ResNet-50 network architecture outperformed VGG-16 and ResNext-50 and was generalisable, with areas under the receiver operating characteristic curve (AUCs) of 0·982 (95% CI 0·960-0·994), 0·984 (0·972-0·992), and 0·913 (0·886-0·935) in distinguishing echinococcosis from other focal liver lesions; 0·986 (0·966-0·996), 0·962 (0·946-0·975), and 0·900 (0·872-0·924) in distinguishing alveolar echinococcosis from cystic echinococcosis and other focal liver lesions; and 0·974 (0·818-1·000), 0·956 (0·875-0·991), and 0·944 (0·844-0·988) in distinguishing active and transitional cystic echinococcosis from inactive echinococcosis in the three test datasets. Specifically, in patients with the hepatitis B or hepatitis C virus, the model could distinguish alveolar echinococcosis from hepatocellular carcinoma with an AUC of 0·892 (0·812-0·946). In identifying echinococcosis, the model showed significantly better performance compared with senior radiologists from a high-endemicity area (AUC 0·942 [0·904-0·967] vs 0·844 [0·820-0·866]; p=0·027) and improved the diagnostic ability of junior, attending, and senior radiologists before and after assistance with AI with comparison of AUCs of 0·743 (0·714-0·770) versus 0·850 (0·826-0·871); p<0·0001, 0·808 (0·782-0·832) versus 0·886 (0·864-0·905); p<0·0001, and 0·844 (0·820-0·866) versus 0·870 (0·847-0·890); p=0·092, respectively. INTERPRETATION The DCNN model was shown to be accurate and robust, and could improve the ultrasound diagnostic ability of radiologists for echinococcosis and its types for highly endemic and remote regions. FUNDING National Natural Science Foundation of China and National Key Research & Development Program of China. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
Collapse
Affiliation(s)
- Yongfeng Yang
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China; Graduate School of Chinese People's Liberation Army, General Hospital, Beijing, China
| | - Yangdan Cairang
- Department of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, The Research Key Laboratory for Echinococcosis of Qinghai Province, Xining, China
| | - Tian'an Jiang
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhua Zhou
- Department of Ultrasound, Sun Yat-sen University Cancer Centre, Guangzhou, China
| | - Li Zhang
- Department of Ultrasound, People's Hospital of Xinjiang Uygur Autonomous Region, Urumchi, China
| | - Baowen Qi
- Department of Ultrasound, People's Hospital of Xinjiang Uygur Autonomous Region, Urumchi, China
| | - Shumei Ma
- Department of Ultrasound Medicine, Affiliated Hospital of Qinghai University, Xining, China
| | - Lina Tang
- Department of Diagnostic Ultrasound, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Dong Xu
- Colorectal Surgery and Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China
| | - Lingdai Bu
- Department of Ultrasound, People's Hospital of Bortala Mongol Autonomous Prefecture, Bortala Mongol Autonomous Prefecture, China
| | - Rui Bu
- Department of Ultrasound, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiang Jing
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China
| | - Hui Wang
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Zubang Zhou
- Department of Ultrasound, Gansu Provincial Hospital, Lanzhou, China
| | - Cheng Zhao
- Department of Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Baoming Luo
- Department of Ultrasound, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Liwen Liu
- Department of Ultrasound, The Xijing Hospital of Air Force Medical University, Xi'an, China
| | - Jianqin Guo
- Department of Intervention Ultrasound, Qinghai Provincial People's Hospital, Xining, China; Department of Interventional Ultrasound, The First Affiliated Hospital of Hainan Medical College, Hainan, China
| | - Yuzhen Nima
- Department of Intervention Ultrasound, Qinghai Provincial People's Hospital, Xining, China; Department of Ultrasound, The People's Hospital of the Tibet Autonomous Region, Lasa, China
| | - Guoyong Hua
- Department of Ultrasound, Gansu Provincial Hospital, Lanzhou, China
| | - Zengcheng Wa
- Department of Ultrasound, Qinghai Red Cross Hospital, Xining, China
| | - Yuying Zhang
- Department of Ultrasound, Qinghai Provincial People's Hospital, Xining, China
| | - Guoyi Zhou
- Innovation Research Center, SonoScape, Shenzhen, China
| | - Wen Jiang
- Innovation Research Center, SonoScape, Shenzhen, China
| | | | - Yang De
- Department of Ultrasound, The People's Hospital of the Tibet Autonomous Region, Lasa, China
| | - Xiaoling Yu
- Department of Interventional Ultrasound, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Zhigang Cheng
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Zhiyu Han
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Fangyi Liu
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jianping Dou
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Hui Feng
- Department of Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Chong Wu
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Ruifang Wang
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jie Hu
- Department of Interventional Ultrasound, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Qi Yang
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yanchun Luo
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jiapeng Wu
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Haining Fan
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China.
| | - Ping Liang
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China.
| | - Jie Yu
- Department of Interventional Ultrasound, The Fifth Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China.
| |
Collapse
|
50
|
Li J, Huang X, Chen H, Gu C, Ni B, Zhou J. LINC01088/miR-22/CDC6 Axis Regulates Prostate Cancer Progression by Activating the PI3K/AKT Pathway. Mediators Inflamm 2023; 2023:9207148. [PMID: 37501932 PMCID: PMC10371595 DOI: 10.1155/2023/9207148] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/31/2023] [Accepted: 04/24/2023] [Indexed: 07/29/2023] Open
Abstract
Background Prostate cancer (PCa) harms the male reproductive system, and lncRNA may play an important role in it. Here, we report that the LINC01088/microRNA- (miRNA/miR-) 22/cell division cycle 6 (CDC6) axis regulated through the phosphatidylinositide 3-kinases- (PI3K-) protein kinase B (AKT) signaling pathway controls the development of PCa. Methods lncRNA/miRNA/mRNA associated with PCa was downloaded and analyzed by Gene Expression Omnibus. The expression and correlation of LINC01088/miR-22/CDC6 in PCa were analyzed and verified by RT-qPCR. Dual-luciferase was used to analyze the binding between miR-22 and LINC01088 or CDC6. Cell Counting Kit-8 and Transwell were used to analyze the effects of LINC01088/miR-22/CDC6 interactions on PCa cell viability or migration/invasion ability. Localization of LINC01088 in cells was analyzed by nuclear cytoplasmic separation. The effect of LINC01088/miR-22/CDC6 interaction on downstream PI3K/AKT signaling was analyzed by Western blot. Results LINC01088 or CDC6 was upregulated in prostate tumor tissues or cells, whereas miR-22 was downregulated, miR-22 directly targets both LINC01088 and CDC6. si-LINC01088 inhibits the PCa process by suppressing the PI3K/AKT pathway. CDC6 reverses si-linc01088-mediated cell growth inhibition and reduction of PI3K and AKT protein levels. Conclusion Our results demonstrate that the LINC01088/miR-22/CDC6 axis functions in PCa progression and provide a promising diagnostic and therapeutic target.
Collapse
Affiliation(s)
- Jianwei Li
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
| | - Xinghua Huang
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
| | - Haodong Chen
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
| | - Caifu Gu
- Department of Thyroid and Breast Surgery, Longgang Central Hospital, Shenzhen, Guangdong 518000, China
| | - Binyu Ni
- Department of Pediatrics, Longgang District People's Hospital of Shenzhen, Shenzhen, Guangdong 518000, China
| | - Jianhua Zhou
- Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China
| |
Collapse
|