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Wang Y, Zhang J, Zhang J, Hou M, Kong L, Lin X, Xu J, Yan C, Lin F, Ke S. Association between per- and polyfluoroalkyl substances exposure and prevalence of chronic obstructive pulmonary disease: The mediating role of serum albumin. Sci Total Environ 2024; 925:171742. [PMID: 38494022 DOI: 10.1016/j.scitotenv.2024.171742] [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: 01/29/2024] [Revised: 03/05/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND No study has examined the association between per- and polyfluoroalkyl substances (PFAS) exposure and chronic obstructive pulmonary disease (COPD) risk. This study aims to explore this relationship. METHODS This study enrolled 4541 individuals who had available data on PFAS, COPD, and covariates from NHANES 2007-2018. Serum PFAS including perfluorohexane sulfonate (PFHxS), perfluorononanoic acid (PFNA), perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS) were analyzed, because of high detective rates. Considering the skew distribution of PFAS levels, the natural logarithm-transformed PFAS (Ln-PFAS) was used. Logistic regression analysis, restricted cubic spline (RCS), and weighted quantile sum (WQS) regression were performed to explore the single, nonlinear, and mixed effects. A mediating analysis was used to evaluate the mediated effects of albumin. RESULTS Individuals with COPD had higher levels of PFHxS, PFNA, PFOA, and PFOS compared to those without COPD. Ln-PFNA (OR males: 1.92, 95 % CI:1.31 to 2.80, P: <0.001; OR females: 1.07, 95 % CI: 0.81 to 1.40, P: 0.636) and ln-PFOA (OR males: 2.17, 95 % CI:1.38 to 3.41, P: <0.001; OR females: 1.49, 95 % CI: 1.08 to 2.05, P: 0.016) were associated with COPD risk especially in males. The interaction between PFNA exposure and sex on COPD risk was significant (P interaction: <0.001). The RCS curve demonstrated the nonlinear relationship between the ln-PFOA (P nonlinear:0.001), ln-PFNA (P nonlinear:0.045), and COPD risk in males. WQS analysis showed mixed PFAS exposure was correlated with COPD risk in males (OR: 1.44, 95 % CI:1.18 to 1.75, P: <0.001). Albumin mediated the relationship between PFOA and COPD (mediated proportion: -17.94 %). CONCLUSION This study concludes PFOA and PFNA are linked to a higher COPD risk in males, and serum albumin plays a mediating role in the relationship between PFOA and COPD. Thess findings are beneficial for the prevention of COPD. Further studies are required to explore potential mechanisms.
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Affiliation(s)
- Yan Wang
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
| | - Jingwen Zhang
- Department of Psychological Medicine, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, China
| | - Jiaxian Zhang
- Department of Plastic and Aesthetic Surgery, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China
| | - Miao Hou
- Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, Jiangsu, China
| | - Lingkun Kong
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
| | - Xiong Lin
- Department of Thoracic Surgery, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China
| | - Jinxin Xu
- Department of Thoracic Surgery, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China
| | - Chun Yan
- Department of Thoracic Surgery, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China
| | - Fan Lin
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China
| | - Sunkui Ke
- Department of Thoracic Surgery, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
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Zhou H, Hua Z, Gao J, Lin F, Chen Y, Zhang S, Zheng T, Wang Z, Shao H, Li W, Liu F, Li Q, Chen J, Wang X, Zhao F, Qu N, Xie H, Ma H, Zhang H, Mao N. Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter Study. J Magn Reson Imaging 2024; 59:1710-1722. [PMID: 37497811 DOI: 10.1002/jmri.28913] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/02/2023] [Accepted: 07/03/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Accurate diagnosis of breast lesions and discrimination of axillary lymph node (ALN) metastases largely depend on radiologist experience. PURPOSE To develop a deep learning-based whole-process system (DLWPS) for segmentation and diagnosis of breast lesions and discrimination of ALN metastasis. STUDY TYPE Retrospective. POPULATION 1760 breast patients, who were divided into training and validation sets (1110 patients), internal (476 patients), and external (174 patients) test sets. FIELD STRENGTH/SEQUENCE 3.0T/dynamic contrast-enhanced (DCE)-MRI sequence. ASSESSMENT DLWPS was developed using segmentation and classification models. The DLWPS-based segmentation model was developed by the U-Net framework, which combined the attention module and the edge feature extraction module. The average score of the output scores of three networks was used as the result of the DLWPS-based classification model. Moreover, the radiologists' diagnosis without and with the DLWPS-assistance was explored. To reveal the underlying biological basis of DLWPS, genetic analysis was performed based on RNA-sequencing data. STATISTICAL TESTS Dice similarity coefficient (DI), area under receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and kappa value. RESULTS The segmentation model reached a DI of 0.828 and 0.813 in the internal and external test sets, respectively. Within the breast lesions diagnosis, the DLWPS achieved AUCs of 0.973 in internal test set and 0.936 in external test set. For ALN metastasis discrimination, the DLWPS achieved AUCs of 0.927 in internal test set and 0.917 in external test set. The agreement of radiologists improved with the DLWPS-assistance from 0.547 to 0.794, and from 0.848 to 0.892 in breast lesions diagnosis and ALN metastasis discrimination, respectively. Additionally, 10 breast cancers with ALN metastasis were associated with pathways of aerobic electron transport chain and cytoplasmic translation. DATA CONCLUSION The performance of DLWPS indicates that it can promote radiologists in the judgment of breast lesions and ALN metastasis and nonmetastasis. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Heng Zhou
- School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, Shandong, China
| | - Zhen Hua
- School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, Shandong, China
| | - Jing Gao
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Fan Lin
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Yuqian Chen
- School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, Shandong, China
| | - Shijie Zhang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Tiantian Zheng
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Zhongyi Wang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Huafei Shao
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Wenjuan Li
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Fengjie Liu
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Qin Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jingjing Chen
- Department of Radiology, Qingdao University Affiliated Hospital, Qingdao, Shandong, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital, Jinan, Shandong, China
| | - Feng Zhao
- School of Computer Science and Technology, Shandong Technology and Business University, Yantai, Shandong, China
| | - Nina Qu
- Department of Ultrasound, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Haicheng Zhang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China
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Zhuang W, Liu C, Hong Y, Zheng Y, Huang M, Tang H, Zhao L, Huang Z, Tu M, Yu L, Chen J, Zhang Y, Chen X, Lin F, Gao Q, Yu C, Huang Y. Tumor-suppressive miR-4732-3p is sorted into fucosylated exosome by hnRNPK to avoid the inhibition of lung cancer progression. J Exp Clin Cancer Res 2024; 43:123. [PMID: 38654325 PMCID: PMC11036635 DOI: 10.1186/s13046-024-03048-1] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/16/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Aberrant fucosylation observed in cancer cells contributes to an augmented release of fucosylated exosomes into the bloodstream, where miRNAs including miR-4732-3p hold promise as potential tumor biomarkers in our pilot study. However, the mechanisms underlying the sorting of miR-4732-3p into fucosylated exosomes during lung cancer progression remain poorly understood. METHODS A fucose-captured strategy based on lentil lectin-magnetic beads was utilized to isolate fucosylated exosomes and evaluate the efficiency for capturing tumor-derived exosomes using nanoparticle tracking analysis (NTA). Fluorescence in situ hybridization (FISH) and qRT-PCR were performed to determine the levels of miR-4732-3p in non-small cell lung cancer (NSCLC) tissue samples. A co-culture system was established to assess the release of miRNA via exosomes from NSCLC cells. RNA immunoprecipitation (RIP) and miRNA pull-down were applied to validate the interaction between miR-4732-3p and heterogeneous nuclear ribonucleoprotein K (hnRNPK) protein. Cell functional assays, cell derived xenograft, dual-luciferase reporter experiments, and western blot were applied to examine the effects of miR-4732-3p on MFSD12 and its downstream signaling pathways, and the impact of hnRNPK in NSCLC. RESULTS We enriched exosomes derived from NSCLC cells using the fucose-captured strategy and detected a significant upregulation of miR-4732-3p in fucosylated exosomes present in the serum, while its expression declined in NSCLC tissues. miR-4732-3p functioned as a tumor suppressor in NSCLC by targeting 3'UTR of MFSD12, thereby inhibiting AKT/p21 signaling pathway to induce cell cycle arrest in G2/M phase. NSCLC cells preferentially released miR-4732-3p via exosomes instead of retaining them intracellularly, which was facilitated by the interaction of miR-4732-3p with hnRNPK protein for selective sorting into fucosylated exosomes. Moreover, knockdown of hnRNPK suppressed NSCLC cell proliferation, with the elevated levels of miR-4732-3p in NSCLC tissues but the decreased expression in serum fucosylated exosomes. CONCLUSIONS NSCLC cells escape suppressive effects of miR-4732-3p through hnRNPK-mediated sorting of them into fucosylated exosomes, thus supporting cell malignant properties and promoting NSCLC progression. Our study provides a promising biomarker for NSCLC and opens a novel avenue for NSCLC therapy by targeting hnRNPK to prevent the "exosome escape" of tumor-suppressive miR-4732-3p from NSCLC cells.
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Affiliation(s)
- Wanzhen Zhuang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Chengxiu Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, China
- Institute of Future Technology, Beijing Hotgen Biotech Co., Ltd, Beijing, 102600, China
| | - Yilin Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Yue Zheng
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Minjian Huang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Haijun Tang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Lilan Zhao
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Zhixin Huang
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China
- Integrated Chinese and Western Medicine College, Fujian University of Traditional Chinese Medicine, Fuzhou, 350108, China
| | - Mingshu Tu
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Lili Yu
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Jianlin Chen
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Yi Zhang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Xiongfeng Chen
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China
- Department of Scientific Research, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Fan Lin
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, 350001, China
- Fujian Provincial Center for Geriatrics, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Qi Gao
- Institute of Future Technology, Beijing Hotgen Biotech Co., Ltd, Beijing, 102600, China
| | - Chundong Yu
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China.
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361102, China.
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, 350001, China.
| | - Yi Huang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, China.
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China.
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, 350001, China.
- Fujian Provincial Center for Geriatrics, Fujian Provincial Hospital, Fuzhou, 350001, China.
- Central Laboratory, Fujian Provincial Hospital, Fuzhou, 350001, China.
- Fujian Provincial Key Laboratory of Critical Care Medicine, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, China.
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Ye X, Lin J, Chen Q, Lv J, Liu C, Wang Y, Wang S, Wen X, Lin F. An Efficient Vector-Based CRISPR/Cas9 System in Zebrafish Cell Line. Mar Biotechnol (NY) 2024:10.1007/s10126-024-10320-0. [PMID: 38652190 DOI: 10.1007/s10126-024-10320-0] [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] [Received: 02/19/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024]
Abstract
The clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) system has been widely applied in animals as an efficient genome editing tool. However, the technique is difficult to implement in fish cell lines partially due to the lack of efficient promoters to drive the expression of both sgRNA and the Cas9 protein within a single vector. In this study, it was indicated that the zebrafish U6 RNA polymerase III (ZFU6) promoter could efficiently induce tyrosinase (tyr) gene editing and lead to loss of retinal pigments when co-injection with Cas9 mRNA in zebrafish embryo. Furthermore, an optimized all-in-one vector for expression of the CRISPR/Cas9 system in the zebrafish fibroblast cell line (PAC2) was constructed by replacing the human U6 promoter with ZFU6 promoter, basing on the lentiCRISPRV2 system that widely applied in mammal cells. This new vector could successfully target the cellular communication network factor 2a (ctgfa) gene and demonstrated its function in the PAC2 cell. Notably, the vector could also be used to edit the endogenous EMX1 gene in the mammal 293 T cell line, implying its wide application potential. In conclusion, we established a new gene editing tool for zebrafish cell line, which could be a useful in vitro platform for high-throughput analyzing gene function in fish.
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Affiliation(s)
- Xiaokang Ye
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, 243 Daxue Road, Shantou, 515063, China
| | - Jiali Lin
- College of Marine Sciences, South China Agricultural University, Guangzhou, 510642, China
| | - Qiuji Chen
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, 243 Daxue Road, Shantou, 515063, China
| | - Jiehuan Lv
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, 243 Daxue Road, Shantou, 515063, China
| | - Chunsheng Liu
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, 243 Daxue Road, Shantou, 515063, China
| | - Yuping Wang
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, 243 Daxue Road, Shantou, 515063, China
| | - Shuqi Wang
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, 243 Daxue Road, Shantou, 515063, China
| | - Xiaobo Wen
- College of Marine Sciences, South China Agricultural University, Guangzhou, 510642, China
| | - Fan Lin
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, 243 Daxue Road, Shantou, 515063, China.
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Li D, Wang X, Chen K, Shan D, Cui G, Yuan W, Lin Q, Gimple RC, Dixit D, Lu C, Gu D, You H, Gao J, Li Y, Kang T, Yang J, Yu H, Song K, Shi Z, Fan X, Wu Q, Gao W, Zhu Z, Man J, Wang Q, Lin F, Tao W, Mack SC, Chen Y, Zhang J, Li C, Zhang N, You Y, Qian X, Yang K, Rich JN, Zhang Q, Wang X. IFI35 regulates non-canonical NF-κB signaling to maintain glioblastoma stem cells and recruit tumor-associated macrophages. Cell Death Differ 2024:10.1038/s41418-024-01292-8. [PMID: 38594444 DOI: 10.1038/s41418-024-01292-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 03/27/2024] [Accepted: 04/02/2024] [Indexed: 04/11/2024] Open
Abstract
Glioblastoma (GBM) is the most aggressive malignant primary brain tumor characterized by a highly heterogeneous and immunosuppressive tumor microenvironment (TME). The symbiotic interactions between glioblastoma stem cells (GSCs) and tumor-associated macrophages (TAM) in the TME are critical for tumor progression. Here, we identified that IFI35, a transcriptional regulatory factor, plays both cell-intrinsic and cell-extrinsic roles in maintaining GSCs and the immunosuppressive TME. IFI35 induced non-canonical NF-kB signaling through proteasomal processing of p105 to the DNA-binding transcription factor p50, which heterodimerizes with RELB (RELB/p50), and activated cell chemotaxis in a cell-autonomous manner. Further, IFI35 induced recruitment and maintenance of M2-like TAMs in TME in a paracrine manner. Targeting IFI35 effectively suppressed in vivo tumor growth and prolonged survival of orthotopic xenograft-bearing mice. Collectively, these findings reveal the tumor-promoting functions of IFI35 and suggest that targeting IFI35 or its downstream effectors may provide effective approaches to improve GBM treatment.
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Affiliation(s)
- Daqi Li
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiefeng Wang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Kexin Chen
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Danyang Shan
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Gaoyuan Cui
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Wei Yuan
- Department of Pathology, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, Yancheng, Jiangsu, 224005, China
- Department of Central Laboratory, Yancheng Medical Research Center of Nanjing University Medical School, Yancheng, Jiangsu, 224005, China
| | - Qiankun Lin
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Ryan C Gimple
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, 44195, USA
| | - Deobrat Dixit
- Department of Neurology, University of Pittsburgh Medical Center Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Chenfei Lu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Danling Gu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Hao You
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Jiancheng Gao
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Yangqing Li
- Ministry of Education Key Laboratory of Model Animals for Disease Study, Model Animal Research Center and School of Medicine, Nanjing University, National Resource Center for Mutant Mice, Nanjing, Jiangsu, 210093, China
| | - Tao Kang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Junlei Yang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Hang Yu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Kefan Song
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Zhumei Shi
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Xiao Fan
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Qiulian Wu
- Department of Neurology, University of Pittsburgh Medical Center Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Wei Gao
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Zhe Zhu
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Jianghong Man
- State Key Laboratory of Proteomics, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Qianghu Wang
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fan Lin
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Weiwei Tao
- College of Biomedicine and Health & College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Stephen C Mack
- Division of Brain Tumor Research, Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Yun Chen
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Junxia Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Chaojun Li
- Ministry of Education Key Laboratory of Model Animals for Disease Study, Model Animal Research Center and School of Medicine, Nanjing University, National Resource Center for Mutant Mice, Nanjing, Jiangsu, 210093, China
| | - Nu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangdong Translational Medicine Innovation Platform, Guangzhou, Guangdong, 510080, China
| | - Yongping You
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Xu Qian
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Nutrition and Food Hygiene, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Kailin Yang
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, 44195, USA.
| | - Jeremy N Rich
- Department of Neurology, University of Pittsburgh Medical Center Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
| | - Qian Zhang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China.
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Xiuxing Wang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, 211166, China.
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211100, China.
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, 214000, China.
- Jiangsu Cancer Hospital, Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
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Zhang HW, Zhang HB, Liu XL, Deng HZ, Zhang YZ, Tang XM, Lin F, Huang B. Clinical Assessment of Magnetic Resonance Spectroscopy and Diffusion-Weighted Imaging in Diffuse Glioma: Insights Into Histological Grading and IDH Classification. Can Assoc Radiol J 2024:8465371241238917. [PMID: 38577746 DOI: 10.1177/08465371241238917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024] Open
Abstract
PURPOSE To assess the diagnostic utility of clinical magnetic resonance spectroscopy (MRS) and diffusion-weighted imaging (DWI) in distinguishing between histological grading and isocitrate dehydrogenase (IDH) classification in adult diffuse gliomas. METHODS A retrospective analysis was conducted on 247 patients diagnosed with adult diffuse glioma. Experienced radiologists evaluated DWI and MRS images. The Kruskal-Wallis test examined differences in DWI and MRS-related parameters across histological grades, while the Mann-Whitney U test assessed molecular classification. Receiver Operating Characteristic (ROC) curves evaluated parameter effectiveness. Survival curves, stratified by histological grade and IDH classification, were constructed using the Kaplan-Meier test. RESULTS The cohort comprised 141 males and 106 females, with ages ranging from 19 to 85 years. The Kruskal-Wallis test revealed significant differences in ADC mean, Cho/NAA, and Cho/Cr concerning glioma histological grade (P < .01). Subsequent application of Dunn's test showed significant differences in ADC mean among each histological grade (P < .01). Notably, Cho/NAA exhibited a marked distinction between grade 2 and grade 3/4 gliomas (P < .01). The Mann-Whitney U test indicated that only ADC mean showed statistical significance for IDH molecular classification (P < .01). ROC curves were constructed to demonstrate the effectiveness of the specified parameters. Survival curves were also delineated to portray survival outcomes categorized by histological grade and IDH classification. Conclusions: Clinical MRS demonstrates efficacy in glioma histological grading but faces challenges in IDH classification. Clinical DWI's ADC mean parameter shows significant distinctions in both histological grade and IDH classification.
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Affiliation(s)
- Han-Wen Zhang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hong-Bo Zhang
- Department of Radiology, The Seventh Affiliated Hospital Sun Yat-sen University, Shenzhen, China
| | - Xiao-Lei Liu
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hua-Zhen Deng
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Yu-Zhe Zhang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xu-Mei Tang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Fan Lin
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Biao Huang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
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7
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Zhang JH, Lin AP, Zhang L, Ruan DD, Gao MZ, Chen Q, Yu HP, Liao LS, Lin XF, Fang ZT, Lin F, Lu SY, Luo JW, Zheng XL, Chen MS. Pedigree Analysis of Nonclassical Cholesteryl Ester Storage Disease with Dominant Inheritance in a LIPA I378T Heterozygous Carrier. Dig Dis Sci 2024:10.1007/s10620-024-08395-9. [PMID: 38564148 DOI: 10.1007/s10620-024-08395-9] [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: 12/18/2023] [Accepted: 03/17/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Cholesterol ester storage disorder (CESD; OMIM: 278,000) was formerly assumed to be an autosomal recessive allelic genetic condition connected to diminished lysosomal acid lipase (LAL) activity due to LIPA gene abnormalities. CESD is characterized by abnormal liver function and lipid metabolism, and in severe cases, liver failure can occur leading to death. In this study, one Chinese nonclassical CESD pedigree with dominant inheritance was phenotyped and analyzed for the corresponding gene alterations. METHODS Seven males and eight females from nonclassical CESD pedigree were recruited. Clinical features and LAL activities were documented. Whole genome Next-generation sequencing (NGS) was used to screen candidate genes and mutations, Sanger sequencing confirmed predicted mutations, and qPCR detected LIPA mRNA expression. RESULTS Eight individuals of the pedigree were speculatively thought to have CESD. LAL activity was discovered to be lowered in four living members of the pedigree, but undetectable in the other four deceased members who died of probable hepatic failure. Three of the four living relatives had abnormal lipid metabolism and all four had liver dysfunctions. By liver biopsy, the proband exhibited diffuse vesicular fatty changes in noticeably enlarged hepatocytes and Kupffer cell hyperplasia. Surprisingly, only a newly discovered heterozygous mutation, c.1133T>C (p. Ile378Thr) on LIPA, was found by gene sequencing in the proband. All living family members who carried the p.I378T variant displayed reduced LAL activity. CONCLUSIONS Phenotypic analyses indicate that this may be an autosomal dominant nonclassical CESD pedigree with a LIPA gene mutation.
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Affiliation(s)
- Jian-Hui Zhang
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Ai-Ping Lin
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Digestive, Fujian Provincial Hospital, Fuzhou, China
| | - Li Zhang
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Nephrology, Fujian Provincial Hospital, Fuzhou, China
| | - Dan-Dan Ruan
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Mei-Zhu Gao
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Nephrology, Fujian Provincial Hospital, Fuzhou, China
| | - Qian Chen
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Hong-Ping Yu
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Li-Sheng Liao
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hematology, Fujian Provincial Hospital, Fuzhou, China
| | - Xin-Fu Lin
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Pediatrics, Fujian Provincial Hospital, Fuzhou, China
| | - Zhu-Ting Fang
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Fan Lin
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Geriatric Medicine, Fujian Provincial Center for Geriatrics, Fujian Provincial Hospital, Fuzhou, China
| | - Shi-Yun Lu
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Digestive, Fujian Provincial Hospital, Fuzhou, China
| | - Jie-Wei Luo
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Fuzhou, China.
| | - Xiao-Ling Zheng
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Digestive Endoscopy, Fujian Provincial Hospital, Fuzhou, China
| | - Meng-Shi Chen
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Digestive, Fujian Provincial Hospital, Fuzhou, China
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8
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Ruan DD, Ruan XL, Wang RL, Lin XF, Zhang YP, Lin B, Li SJ, Wu M, Chen Q, Zhang JH, Cheng Q, Zhang YW, Lin F, Luo JW, Zheng Z, Li YF. Clinical phenotype and genetic function analysis of a family with hypomyelinating leukodystrophy-7 caused by POLR3A mutation. Sci Rep 2024; 14:7638. [PMID: 38561452 PMCID: PMC10985069 DOI: 10.1038/s41598-024-58452-6] [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: 09/06/2023] [Accepted: 03/29/2024] [Indexed: 04/04/2024] Open
Abstract
Hypomyelinating leukodystrophy (HLD) is a rare genetic heterogeneous disease that can affect myelin development in the central nervous system. This study aims to analyze the clinical phenotype and genetic function of a family with HLD-7 caused by POLR3A mutation. The proband (IV6) in this family mainly showed progressive cognitive decline, dentin dysplasia, and hypogonadotropic hypogonadism. Her three old brothers (IV1, IV2, and IV4) also had different degrees of ataxia, dystonia, or dysarthria besides the aforementioned manifestations. Their brain magnetic resonance imaging showed bilateral periventricular white matter atrophy, brain atrophy, and corpus callosum atrophy and thinning. The proband and her two living brothers (IV2 and IV4) were detected to carry a homozygous mutation of the POLR3A (NM_007055.4) gene c. 2300G > T (p.Cys767Phe), and her consanguineous married parents (III1 and III2) were p.Cys767Phe heterozygous carriers. In the constructed POLR3A wild-type and p.Cys767Phe mutant cells, it was seen that overexpression of wild-type POLR3A protein significantly enhanced Pol III transcription of 5S rRNA and tRNA Leu-CAA. However, although the mutant POLR3A protein overexpression was increased compared to the wild-type protein overexpression, it did not show the expected further enhancement of Pol III function. On the contrary, Pol III transcription function was frustrated (POLR3A, BC200, and tRNA Leu-CAA expression decreased), and MBP and 18S rRNA expressions were decreased. This study indicates that the POLR3A p.Cys767Phe variant caused increased expression of mutated POLR3A protein and abnormal expression of Pol III transcripts, and the mutant POLR3A protein function was abnormal.
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Affiliation(s)
- Dan-Dan Ruan
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Xing-Lin Ruan
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Ruo-Li Wang
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
- Fujian Provincial Key Laboratory of Emergency Medicine, Fujian Provincial Institute of Emergency Medicine, Fujian Emergency Medical Center, Fuzhou, 350001, China
| | - Xin-Fu Lin
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
- Pediatrics Department, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Yan-Ping Zhang
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Bin Lin
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Shi-Jie Li
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Min Wu
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Qian Chen
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Jian-Hui Zhang
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Qiong Cheng
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
- Department of Neurology, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Yi-Wu Zhang
- Department of Neurology, Youxi County General Hospital, Sanming, 365100, China
| | - Fan Lin
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China.
- Department of Geriatric Medicine, Fujian Provincial Center for Geriatrics, Fujian Provincial Hospital, Fuzhou, 350001, China.
| | - Jie-Wei Luo
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China.
| | - Zheng Zheng
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China.
- Department of Neurology, Fujian Provincial Hospital, Fuzhou, 350001, China.
| | - Yun-Fei Li
- Department of Traditional Chinese Medicine, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China.
- Department of Neurology, Fujian Provincial Hospital, Fuzhou, 350001, China.
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9
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Banerjee S, Zhao Q, Wang B, Qin J, Yuan X, Lou Z, Zheng W, Li H, Wang X, Cheng X, Zhu Y, Lin F, Yang F, Xu J, Munshi A, Das P, Zhou Y, Mandal K, Wang Y, Ayub M, Hirokawa N, Xi Y, Chen G, Li C. A novel in-frame deletion in KIF5C gene causes infantile onset epilepsy and psychomotor retardation. MedComm (Beijing) 2024; 5:e469. [PMID: 38525108 PMCID: PMC10960728 DOI: 10.1002/mco2.469] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 12/04/2023] [Accepted: 12/22/2023] [Indexed: 03/26/2024] Open
Abstract
Motor proteins, encoded by Kinesin superfamily (KIF) genes, are critical for brain development and plasticity. Increasing studies reported KIF's roles in neurodevelopmental disorders. Here, a 6 years and 3 months-old Chinese boy with markedly symptomatic epilepsy, intellectual disability, brain atrophy, and psychomotor retardation was investigated. His parents and younger sister were phenotypically normal and had no disease-related family history. Whole exome sequencing identified a novel heterozygous in-frame deletion (c.265_267delTCA) in exon 3 of the KIF5C in the proband, resulting in the removal of evolutionarily highly conserved p.Ser90, located in its ATP-binding domain. Sanger sequencing excluded the proband's parents and family members from harboring this variant. The activity of ATP hydrolysis in vitro was significantly reduced as predicted. Immunofluorescence studies showed wild-type KIF5C was widely distributed throughout the cytoplasm, while mutant KIF5C was colocalized with microtubules. The live-cell imaging of the cargo-trafficking assay revealed that mutant KIF5C lost the peroxisome-transporting ability. Drosophila models also confirmed p.Ser90del's essential role in nervous system development. This study emphasized the importance of the KIF5C gene in intracellular cargo-transport as well as germline variants that lead to neurodevelopmental disorders and might enable clinicians for timely and accurate diagnosis and disease management in the future.
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Affiliation(s)
- Santasree Banerjee
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
- Department of GeneticsCollege of Basic Medical SciencesJilin UniversityChangchunChina
- Department of GeneticsUniversity of DelhiNew DelhiIndia
| | - Qiang Zhao
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
| | - Bo Wang
- Department of PediatricsShenzhen Second People's HospitalThe First Affiliated Hospital of Shenzhen University Health Science CenterShenzhenChina
| | - Jiale Qin
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
| | - Xin Yuan
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
| | - Ziwei Lou
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
| | - Weizeng Zheng
- Department of RadiologyWomen's HospitalZhejiang University School of MedicineHangzhouChina
| | - Huanguo Li
- Department of RadiologyHangzhou Hospital of Traditional Chinese MedicineHangzhouChina
| | - Xiaojun Wang
- Department of Neurobiology, Department of Rehabilitation and Department of Internal Medicine of the Children's Hospital, Zhejiang University School of MedicineNational Clinical Research Center for Child HealthHangzhouChina
| | - Xiawei Cheng
- School of PharmacyEast China University of Science and TechnologyShanghaiChina
| | - Yu Zhu
- Department of Neurobiology, Department of Rehabilitation and Department of Internal Medicine of the Children's Hospital, Zhejiang University School of MedicineNational Clinical Research Center for Child HealthHangzhouChina
| | - Fan Lin
- Department of Cell BiologySchool of Basic Medical SciencesNanjing Medical UniversityNanjingChina
| | - Fan Yang
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
| | - Junyu Xu
- Department of Neurobiology, Department of Rehabilitation and Department of Internal Medicine of the Children's Hospital, Zhejiang University School of MedicineNational Clinical Research Center for Child HealthHangzhouChina
| | - Anjana Munshi
- Department of Human Genetics and Molecular MedicineCentral University of PunjabBathindaIndia
| | - Parimal Das
- Centre for Genetic DisordersBanaras Hindu UniversityVaranasiIndia
| | - Yuanfeng Zhou
- Department of Neurology and Epilepsy CenterChildren's Hospital of Fudan UniversityShanghaiChina
| | - Kausik Mandal
- Department of Medical GeneticsSanjay Gandhi Postgraduate Institute of Medical SciencesLucknowUttar PradeshIndia
| | - Yi Wang
- Department of Neurology and Epilepsy CenterChildren's Hospital of Fudan UniversityShanghaiChina
| | - Muhammad Ayub
- Department of PsychiatryUniversity College LondonLondonUK
| | - Nobutaka Hirokawa
- Department of Cell Biology and AnatomyGraduate School of MedicineThe University of TokyoTokyoJapan
| | - Yongmei Xi
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
| | - Guangfu Chen
- Department of PediatricsShenzhen Second People's HospitalThe First Affiliated Hospital of Shenzhen University Health Science CenterShenzhenChina
| | - Chen Li
- Department of Human Genetics and Department of Ultrasound, Women's HospitalSchool of Basic Medical ScienceZhejiang Provincial Key Laboratory of Genetic and Developmental DisordersZhejiang University School of MedicineHangzhouChina
- Alibaba‐Zhejiang University Joint Research Center of Future Digital HealthcareHangzhouChina
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10
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Yin J, Ge X, Ding F, He L, Song K, Shi Z, Ge Z, Zhang J, Ji J, Wang X, Zhao N, Shu C, Lin F, Wang Q, Zhou Q, Cao Y, Liu W, Ye D, Rich JN, Wang X, You Y, Qian X. Reactivating PTEN to impair glioma stem cells by inhibiting cytosolic iron-sulfur assembly. Sci Transl Med 2024; 16:eadg5553. [PMID: 38507470 DOI: 10.1126/scitranslmed.adg5553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
Glioblastoma, the most lethal primary brain tumor, harbors glioma stem cells (GSCs) that not only initiate and maintain malignant phenotypes but also enhance therapeutic resistance. Although frequently mutated in glioblastomas, the function and regulation of PTEN in PTEN-intact GSCs are unknown. Here, we found that PTEN directly interacted with MMS19 and competitively disrupted MMS19-based cytosolic iron-sulfur (Fe-S) cluster assembly (CIA) machinery in differentiated glioma cells. PTEN was specifically succinated at cysteine (C) 211 in GSCs compared with matched differentiated glioma cells. Isotope tracing coupled with mass spectrometry analysis confirmed that fumarate, generated by adenylosuccinate lyase (ADSL) in the de novo purine synthesis pathway that is highly activated in GSCs, promoted PTEN C211 succination. This modification abrogated the interaction between PTEN and MMS19, reactivating the CIA machinery pathway in GSCs. Functionally, inhibiting PTEN C211 succination by reexpressing a PTEN C211S mutant, depleting ADSL by shRNAs, or consuming fumarate by the US Food and Drug Administration-approved prescription drug N-acetylcysteine (NAC) impaired GSC maintenance. Reexpressing PTEN C211S or treating with NAC sensitized GSC-derived brain tumors to temozolomide and irradiation, the standard-of-care treatments for patients with glioblastoma, by slowing CIA machinery-mediated DNA damage repair. These findings reveal an immediately practicable strategy to target GSCs to treat glioblastoma by combination therapy with repurposed NAC.
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Affiliation(s)
- Jianxing Yin
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
- Gusu School, Nanjing Medical University, Suzhou 215006, China
| | - Xin Ge
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Fangshu Ding
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Liuguijie He
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Keying Song
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhumei Shi
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Zehe Ge
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Junxia Zhang
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Jing Ji
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
- Gusu School, Nanjing Medical University, Suzhou 215006, China
| | - Xiefeng Wang
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Ningwei Zhao
- China Exposomics Institute, Shanghai 200120, China
- Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Chuanjun Shu
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Fan Lin
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Qianghu Wang
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Qigang Zhou
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Yuandong Cao
- Department of Radiation Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Wentao Liu
- Jiangsu Key Laboratory of Neurodegeneration, Department of Pharmacology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Dan Ye
- Huashan Hospital, Fudan University, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), and Molecular and Cell Biology Laboratory, Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai 200032, China
| | - Jeremy N Rich
- University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA 15232, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15232, USA
| | - Xiuxing Wang
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
- National Health Commission Key Laboratory of Antibody Technologies, Nanjing Medical University, Nanjing 211166, China
| | - Yongping You
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Xu Qian
- Department of Neurosurgery of First Affiliated Hospital of Nanjing Medical University, and Department of Nutrition and Food Hygiene of School of Public Health, Nanjing Medical University, Nanjing 210029, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Nanjing Medical University Affiliated Cancer Hospital and Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing 21009, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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11
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Short RT, Lin F, Nair S, Terry JG, Carr JJ, Kandula NR, Lloyd-Jones D, Kanaya AM. Comparing coronary artery cross-sectional area among asymptomatic South Asian, White, and Black participants: the MASALA and CARDIA studies. BMC Cardiovasc Disord 2024; 24:158. [PMID: 38486153 PMCID: PMC10938784 DOI: 10.1186/s12872-024-03811-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 02/22/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND South Asian individuals have high risk of atherosclerotic cardiovascular disease (ASCVD). Some investigators suggest smaller coronary artery size may be partially responsible. METHODS We compared the left anterior descending (LAD) artery cross-sectional area (CSA) (lumen and arterial wall) among South Asians in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study with White and Black participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study, adjusting for BMI, height, and other ASCVD risk factors. We used thin-slice non-contrast cardiac computed tomography to measure LAD CSA. We used linear regression models to determine whether race/ethnicity was associated with LAD CSA after adjusting for demographic factors, BMI, height, coronary artery calcium (CAC), and traditional cardiovascular risk factors. RESULTS Our sample included 3,353 participants: 513 self-identified as South Asian (44.4% women), 1286 as Black (59.6% women), and 1554 as White (53.5% women). After adjusting for age, BMI, height, there was no difference in LAD CSA between South Asian men and women compared to White men and women, respectively. After full adjustment for CVD risk factors, LAD CSA values were: South Asian women (19.9 mm2, 95% CI [18.8 - 20.9]) and men (22.3 mm2, 95% CI [21.4 - 23.2]; White women (20.0 mm2, 95% CI [19.4-20.5]) and men (23.6 mm2, 95% CI [23.0-24.2]); and Black women (21.6 mm2, 95% CI [21.0 - 22.2]) and men (26.0 mm2, 95% CI [25.3 - 26.7]). Height, BMI, hypertension, CAC, and age were positively associated with LAD CSA; current and former cigarette use were inversely associated. CONCLUSIONS South Asian men and women have similar LAD CSA to White men and women, and smaller LAD CSA compared to Black men and women, respectively, after accounting for differences in body size. Future studies should determine whether LAD CSA is associated with future ASCVD events.
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Grants
- R01 HL093009 NHLBI NIH HHS
- UL1 RR024131 NCRR NIH HHS
- K24 HL112827 NHLBI NIH HHS
- P30 DK098722 NIDDK NIH HHS
- P30 DK092924 NIDDK NIH HHS
- 2R01HL093009, UL1TR001872, 5K24HL112827, HHSN268201800005I, HHSN268201800007I, HHSN268201800003I, HHSN268201800006I, HHSN268201800004I, R01-HL098445 NHLBI NIH HHS
- National Heart, Lung, and Blood Institute
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Affiliation(s)
- R T Short
- University of California San Francisco, San Francisco, USA.
| | - F Lin
- University of California San Francisco, San Francisco, USA
| | - S Nair
- Vanderbilt University Medical Center, Nashville, USA
| | - J G Terry
- Vanderbilt University Medical Center, Nashville, USA
| | - J J Carr
- Vanderbilt University Medical Center, Nashville, USA
| | | | | | - A M Kanaya
- University of California San Francisco, San Francisco, USA
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12
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Lin F, Zhang P, Chen Y, Liu Y, Li D, Tan L, Wang Y, Wang DW, Yang X, Ma F, Li Q. Artificial-intelligence-based risk prediction and mechanism discovery for atrial fibrillation using heart beat-to-beat intervals. Med 2024:S2666-6340(24)00078-3. [PMID: 38492571 DOI: 10.1016/j.medj.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 12/05/2023] [Accepted: 02/26/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Early diagnosis of atrial fibrillation (AF) is important for preventing stroke and other complications. Predicting AF risk in advance can improve early diagnostic efficiency. Deep learning has been used for disease risk prediction; however, it lacks adherence to evidence-based medicine standards. Identifying the underlying mechanisms behind disease risk prediction is important and required. METHODS We developed an explainable deep learning model called HBBI-AI to predict AF risk using only heart beat-to-beat intervals (HBBIs) during sinus rhythm. We proposed a possible AF mechanism based on the model's explainability and verified this conjecture using confirmed AF risk factors while also examining new AF risk factors. Finally, we investigated the changes in clinicians' ability to predict AF risk using only HBBIs before and after learning the model's explainability. FINDINGS HBBI-AI consistently performed well across large in-house and external public datasets. HBBIs with large changes or extreme stability were critical predictors for increased AF risk, and the underlying cause was autonomic imbalance. We verified various AF risk factors and discovered that autonomic imbalance was associated with all these factors. Finally, cardiologists effectively understood and learned from these findings to improve their abilities in AF risk prediction. CONCLUSIONS HBBI-AI effectively predicted AF risk using only HBBI information through evaluating autonomic imbalance. Autonomic imbalance may play an important role in many risk factors of AF rather than in a limited number of risk factors. FUNDING This study was supported in part by the National Key R&D Program and the National Natural Science Foundation of China.
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Affiliation(s)
- Fan Lin
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Peng Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yuting Chen
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yuhang Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dun Li
- United Imaging Surgical Healthcare Co., Ltd., Wuhan, Hubei 430206, China
| | - Lun Tan
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yina Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Dao Wen Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiaoyun Yang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Fei Ma
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Cardiovascular Center, Liyuan Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430077, China.
| | - Qiang Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
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13
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Lin F, Guo YQ, Wu YL, Li KM, Zheng YM, Wang LP. [Progress in research of rash and fever syndrome surveillance and early warning]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:455-463. [PMID: 38514324 DOI: 10.3760/cma.j.cn112338-20230724-00034] [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: 03/23/2024]
Abstract
Objective: To introduce the progress in research of rash and fever syndrome (RFS) surveillance and early warning both at home and abroad, and provide reference for surveillance and prevention of RFS in China. Methods: The keywords "fever" "rash" and "surveillance" and others were used for a literature retrieval by using China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, PubMed and Web of Science. The languages of literatures were limited in Chinese and English. The key information of the literatures were collected and analyzed with Excel. Results: A total of 36 study papers (21 in Chinese and 15 in English) were included. The studies mainly focused on the pathogen surveillance of RFS (n=19). The pathogens included measles virus, varicella-zoster virus, rubella virus, enterovirus, human B19 virus, dengue virus, streptococcus group A, Salmonella typhi and Salmonella paratyphoid,human herpesvirus, mumps virus and adenovirus. Eight studies were about the surveillance in major events, such as sport game, World Expo and religious gathering, or sudden natural disasters, such as earthquake and tropical storm, during 2010-2015. Eight studies focused on case or epidemic surveillance, most of which were studies from other counties. The surveillance sites were medical institutions. RFS was diagnosed according to the International Classification of Diseases, 9th (ICD-9) and symptoms descripted in chief-complaint. Only one study in Mongolia conducted RFS epidemic prediction. The analysis methods of 36 papers included simple descriptive analysis, time-based early warning models (such as regression analysis, fixed threshold method, Hugh Hart control chart method and cumulative sum control chart method) and time series analysis method. Conclusions: In the future, RFS surveillance system should cover both known pathogens and emerging pathogens. Automatic surveillance using information capture and intelligent modelling can be applied to improve the sensitivity and specificity of RFS surveillance and early warning.
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Affiliation(s)
- F Lin
- Division of Infectious Disease/National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Y Q Guo
- Division of Infectious Disease/National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Y L Wu
- Division of Infectious Disease/National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - K M Li
- Division of Infectious Disease/National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Y M Zheng
- Division of Infectious Disease/National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L P Wang
- Division of Infectious Disease/National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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14
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Wang L, Huang X, Sun M, Zheng T, Zheng L, Lin X, Ruan J, Lin F. New light on ω-3 polyunsaturated fatty acids and diabetes debate: a population pharmacokinetic-pharmacodynamic modelling and intake threshold study. Nutr Diabetes 2024; 14:8. [PMID: 38438344 PMCID: PMC10912742 DOI: 10.1038/s41387-024-00262-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 01/28/2024] [Accepted: 02/06/2024] [Indexed: 03/06/2024] Open
Abstract
OBJECTIVE ω-3 polyunsaturated fatty acids (PUFA) are a key modifiable factor in the intervention of type 2 diabetes, yet recommendations for dietary consumption of ω-3 PUFA in type 2 diabetes remain ambiguous and controversial. Here, we revisit the subject in the light of population pharmacokinetic-pharmacodynamic (PPK-PD) modeling and propose a threshold for intake. RESEARCH DESIGN AND METHODS Plasma levels of ω-3 PUFA and glycosylated hemoglobin (HbA1c) were measured as pharmacokinetic and pharmacodynamic indicator, respectively. The nonlinear mixed effect analysis was used to construct a PPK-PD model for ω-3 PUFA and to quantify the effects of FADS gene polymorphism, age, liver and kidney function, and other covariables. RESULTS Data from 161 patients with type 2 diabetes in the community were modeled in a two-compartment model with primary elimination, and HDL was a statistically significant covariate. The simulation results showed that HbA1c showed a dose-dependent decrease of ω-3 PUFA plasma level. A daily intake of ω-3 PUFA at 0.4 g was sufficient to achieve an HbA1c level of 7% in more than 95% of patients. CONCLUSIONS PPK/PD modeling was proposed as a multilevel analytical framework to quantitatively investigate finer aspects of the complex relationship between ω-3 PUFA and type 2 diabetes on genetic and non-genetic influence factors. The results support a beneficial role for ω-3 PUFA in type 2 diabetes and suggested the intake threshold. This new approach may provide insights into the interaction of the two and an understanding of the context in which changes occur.
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Affiliation(s)
- Ling Wang
- Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | | | - Mingyao Sun
- Department of Clinical Nutrition, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Tian Zheng
- Department of Clinical Nutrition, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Luyan Zheng
- Department of Clinical Nutrition, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Xiaolan Lin
- Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Junshan Ruan
- Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
| | - Fan Lin
- Department of Clinical Nutrition, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China.
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15
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Li Y, Zhu L, Mao J, Zheng H, Hu Z, Yang S, Mao T, Zhou T, Cao P, Wu H, Wang X, Wang J, Lin F, Shen H. Genome-scale CRISPR-Cas9 screen identifies PAICS as a therapeutic target for EGFR wild-type non-small cell lung cancer. MedComm (Beijing) 2024; 5:e483. [PMID: 38463398 PMCID: PMC10924642 DOI: 10.1002/mco2.483] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 01/11/2024] [Accepted: 01/14/2024] [Indexed: 03/12/2024] Open
Abstract
Epidermal growth factor receptor-targeted (EGFR-targeted) therapies show promise for non-small cell lung cancer (NSCLC), but they are ineffective in a third of patients who lack EGFR mutations. This underlines the need for personalized treatments for patients with EGFR wild-type NSCLC. A genome-wide CRISPR/Cas9 screen has identified the enzyme phosphoribosylaminoimidazole carboxylase/phosphoribosylaminoimidazole succinocarboxamide synthetase (PAICS), which is vital in de novo purine biosynthesis and tumor development, as a potential drug target for EGFR wild-type NSCLC. We have further confirmed that PAICS expression is significantly increased in NSCLC tissues and correlates with poor patient prognosis. Knockdown of PAICS resulted in a marked reduction in both in vitro and in vivo proliferation of EGFR wild-type NSCLC cells. Additionally, PAICS silencing led to cell-cycle arrest in these cells, with genes involved in the cell cycle pathway being differentially expressed. Consistently, an increase in cell proliferation ability and colony number was observed in cells with upregulated PAICS in EGFR wild-type NSCLC. PAICS silencing also caused DNA damage and cell-cycle arrest by interacting with DNA repair genes. Moreover, decreased IMPDH2 activity and activated PI3K-AKT signaling were observed in NSCLC cells with EGFR mutations, which may compromise the effectiveness of PAICS knockdown. Therefore, PAICS plays an oncogenic role in EGFR wild-type NSCLC and represents a potential therapeutic target for this disease.
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Affiliation(s)
- Yufeng Li
- Department of Medical OncologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
- Department of Medical OncologyThe Affiliated Sir Run Run Hospital of Nanjing Medical UniversityNanjingJiangsuChina
| | - Lingyun Zhu
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
| | - Jiaqi Mao
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
| | - Hongrui Zheng
- Department of OrthopedicsTaizhou Hospital of Zhejiang ProvinceAffiliated to Wenzhou Medical UniversityZhejiangChina
| | - Ziyi Hu
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
| | - Suisui Yang
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
| | - Tianyu Mao
- Department of Medical OncologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
| | - Tingting Zhou
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
| | - Pingping Cao
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
| | - Hongshuai Wu
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
- Department of PharmacologyNanjing Medical UniversityNanjingJiangsuChina
| | - Xuerong Wang
- Department of PharmacologyNanjing Medical UniversityNanjingJiangsuChina
| | - Jing Wang
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
| | - Fan Lin
- Department of Cell BiologySchool of Basic Medical Sciences, Nanjing Medical UniversityNanjingJiangsuChina
- Institute for Brain Tumors & Key Laboratory of Rare Metabolic Diseases, Nanjing Medical UniversityNanjingJiangsuChina
- Department of GastroenterologyThe First Affiliated Hospitaland College of Clinical Medicine of Henan University of Science and TechnologyLuoyangHenanChina
| | - Hua Shen
- Department of Medical OncologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
- Department of Medical OncologyThe Affiliated Sir Run Run Hospital of Nanjing Medical UniversityNanjingJiangsuChina
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16
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Liu Y, Sun M, Sun J, Lin F, Xu D, Chen Y, Song W, Li Q, Jiang Y, Gu J, Li S, Gu L, Zhu X, Fang J, Chen M, Chen W. Identification of novel serum metabolic signatures to predict chronic kidney disease among Chinese elders using UPLC-Orbitrap-MS. J Nutr Health Aging 2024; 28:100036. [PMID: 38320382 DOI: 10.1016/j.jnha.2023.100036] [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: 10/18/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 02/08/2024]
Abstract
BACKGROUND Chronic kidney disease (CKD) is a major public health concern. However, validated and broadly applicable biomarkers for early CKD diagnosis are currently not available. We aimed to identify serum metabolic signatures at an early stage of CKD to provide a reference for future investigations into the early diagnostic biomarkers. METHODS Serum metabolites were extracted from 65 renal dysfunction (RD) patients and 121 healthy controls (discovery cohort: 12 RD patients and 55 health participants; validation cohort: 53 RD patients and 66 health participants). Metabolite extracts were analyzed by ultraperformance liquid chromatography coupled with quadrupole-electrostatic field orbital trap mass spectrometry (UPLC-QE-Orbitrap MS) for untargeted metabolomics. Orthogonal partial least squares-discriminant analysis (OPLS-DA) was performed to detect different compounds between groups. Receiver operating characteristic (ROC) curve analysis was carried out to determine the diagnostic value of the validated differential metabolites between groups. We referred to the Kyoto Encyclopedia of Gene and Genomes (KEGG) to elucidate the metabolic pathways of the validated differential metabolites. RESULTS A total of 22 and 23 metabolites had significantly different abundances in the discovery and validation cohort, respectively. Six of them (creatinine, L-proline, citrulline, butyrylcarnitine, 1-methylhistidine, and valerylcarnitine) in the RD group was more abundant than that of the health group in both cohorts. The combination of the six validated differential metabolites were able to accurately detect RD (AUC 0.86). Three of the six metabolites are involved in the metabolism of arginine and proline. CONCLUSIONS The present study highlights that creatinine, L-proline, citrulline, butyrylcarnitine, 1-methylhistidine, and valerylcarnitine are metabolite indicators with potential predictive value for CKD.
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Affiliation(s)
- Yan Liu
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai fu yuan, Dong cheng District, Beijing 100730, China
| | - Mingyao Sun
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai fu yuan, Dong cheng District, Beijing 100730, China; Department of Clinical Nutrition, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350000, China
| | - Jianqin Sun
- Department of Clinical Nutrition, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Fan Lin
- Department of Clinical Nutrition, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou 350000, China
| | - Danfeng Xu
- Department of Clinical Nutrition, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Yanqiu Chen
- Department of Clinical Nutrition, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Wei Song
- Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Qifei Li
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai fu yuan, Dong cheng District, Beijing 100730, China
| | - Yuanrong Jiang
- Nutrition and Food Safety Center, Wilmar (Shanghai) Biotechnology Research & Development Center Co. Ltd., Shanghai 200137, China
| | - Jie Gu
- Nutrition and Food Safety Center, Wilmar (Shanghai) Biotechnology Research & Development Center Co. Ltd., Shanghai 200137, China
| | - Shengqi Li
- Nutrition and Food Safety Center, Wilmar (Shanghai) Biotechnology Research & Development Center Co. Ltd., Shanghai 200137, China
| | - Lili Gu
- Shanghai XiJiao Union Retirement Center, Shanghai 200335, China
| | - Xinyao Zhu
- Shanghai XiJiao Union Retirement Center, Shanghai 200335, China
| | - Jiaxin Fang
- Shanghai XiJiao Union Retirement Center, Shanghai 200335, China
| | - Min Chen
- Department of Clinical Nutrition, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China.
| | - Wei Chen
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai fu yuan, Dong cheng District, Beijing 100730, China.
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Guo H, Liu G, Tian M, Liu C, Zhang H, Wang S, Wen X, Lin F. Effect of faba bean Vicia faba L. water/alcohol extract on growth performance, antioxidant capacity, textural properties, and collagen deposition in the swim bladder of juvenile Nibea coibor. Fish Physiol Biochem 2024:10.1007/s10695-024-01328-3. [PMID: 38418771 DOI: 10.1007/s10695-024-01328-3] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/23/2024] [Indexed: 03/02/2024]
Abstract
Faba bean has gained attention as a cost-effective protein source with the potential to enhance product quality (texture properties, collagen content, etc.) in fish. However, its anti-nutrition factor, high feed conversion ratio, poor growth performance, etc. limit the widely application as a dietary source, especially in carnivorous fish. The water or alcohol extract of faba bean might resolve the problem. In this study, the juvenile Nibea coibor, known for their high-protein, large-sized, and high-grade swim bladder, were fed with seven isoproteic and isolipid experimental diets with the additive of faba bean water extract (1.25%, 2.5%, and 5%) or faba bean alcohol extract (0.9%, 1.8%, and 3.6%), with a control group without faba bean extract. After the 10-week feeding trail, the growth, antioxidant capacity, textural properties, and collagen deposition of the swim bladder were analyzed. Results showed that the 1.25% faba bean water extract group could significantly promote growth, textural quality of the swim bladder, and have beneficial effects on antioxidant response of fish. Conversely, dietary supplementation of faba bean alcohol extract resulted in reduced growth performance in a dose-dependent manner. Furthermore, fish fed diet with 1.25% faba bean water extract exhibited increased collagen content and upregulated collagen-related gene expression in the swim bladder, which was consistent with the Masson stain analysis for collagen fiber. Our results suggested that the anti-nutrient factor and bioactive component of faba bean may mainly be enriched in alcohol extract and water extract of faba bean, respectively. Besides, the appropriate addition of water extract of faba bean may improve the texture quality of the swim bladder by promoting collagen deposition. This study would provide a theoretical basis for the formulated diets with faba bean extract to promote product quality of marine fish.
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Affiliation(s)
- Haoji Guo
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, 515063, China
- Nansha-South China Agricultural University Fishery Research Institute, Guangzhou, 511457, China
| | - Guoquan Liu
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, 515063, China
| | - Mengdu Tian
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, 515063, China
| | - Chunsheng Liu
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, 515063, China
| | - Haoran Zhang
- College of Marine Sciences, South China Agricultural University, Guangzhou, 510642, China
| | - Shuqi Wang
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, 515063, China
| | - Xiaobo Wen
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, 515063, China.
- College of Marine Sciences, South China Agricultural University, Guangzhou, 510642, China.
| | - Fan Lin
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Shantou University, Shantou, 515063, China.
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Zhang H, Zhang H, Lin F, Huang B. Latest Developments in Magnetic Resonance Imaging for Evaluating the Molecular Microenvironment of Gliomas. Curr Med Imaging 2024:CMIR-EPUB-138775. [PMID: 38415475 DOI: 10.2174/0115734056288909240219061430] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/26/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024]
Abstract
The 2021 World Health Organization (WHO) Classification of Tumors of the Central Nervous System has brought a transformative shift in the categorization of adult gliomas. Departing from traditional histological subtypes, the new classification system is guided by molecular genotypes, particularly the Isocitrate Dehydrogenase (IDH) mutation. This alteration reflects a pivotal change in understanding tumor behavior, emphasizing the importance of molecular profiles over morphological characteristics. Gliomas are now categorized into IDH-mutant and IDH wildtype, with significant prognostic implications. For IDH-mutant gliomas, the concurrent presence of Alpha-Thalassemia/mental retardation syndrome X-linked (ATRX) gene expression and co-deletion of 1p19q genes further refine classification. In the absence of 1p19q co-deletion, further categorization depends on the phenotypic expression of CDKN2A/B. Notably, IDH wildtype gliomas exhibit a poorer prognosis, particularly when associated with TERT promoter mutations, EGFR amplification, and +7/-10 co-deletion. Although not part of the new guidelines, the methylation status of the MGMT gene is crucial for guiding alkylating agent treatment. The integration of structural and functional Magnetic Resonance Imaging (MRI) techniques may play a vital role in evaluating these genetic phenotypes, offering insights into tumor microenvironment changes. This multimodal approach may enhance diagnostic precision, aid in treatment planning, and facilitate effective prognosis evaluation of glioma patients.
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Affiliation(s)
- Hanwen Zhang
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, China
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan 2nd Road, Guangzhou, Guangdong, China
| | - Hongbo Zhang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan 2nd Road, Guangzhou, Guangdong, China
| | - Fan Lin
- Department of Radiology, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, China
| | - Biao Huang
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan 2nd Road, Guangzhou, Guangdong, China
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Liu J, Lin F, Sun Y, Liu X. Clinicopathological analysis of rosette-forming glioneuronal tumors. Diagn Pathol 2024; 19:39. [PMID: 38388383 PMCID: PMC10882769 DOI: 10.1186/s13000-024-01465-6] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/10/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND This study aimed to investigate the clinicopathological characteristics, diagnostic indicators, and critical factors for the differential diagnosis of rosette-forming glioneuronal tumor (RGNT). PATIENTS AND METHODS This retrospective study included six surgically treated RGNT cases. We analyzed and summarized their clinical manifestations, radiological features, histological morphology, immunophenotype, and molecular genetic changes, supplemented with a literature review. RESULTS The patients comprised four males and two females with a mean age of 35 years. The tumors were located in the cerebellum (two cases); the fourth ventricle, quadrigeminal cistern, and third ventricle (one case each); and the fourth ventricle and brainstem (one case). Clinical manifestations included headaches in four cases, left eyelid ptosis in one case, and one asymptomatic case only identified during physical examination. Microscopically, the tumor cells were uniform in size and were marked by rosette-like or pseudorosette-like structures around the neuropil and blood vessels. Immunohistochemistry revealed biphasic patterns. The central neuropil components of the rosette-like structures around the neuropil and the pseudorosette structures of the perivascular regions expressed Syn, while the cells surrounding the rosettes expressed Olig2 and not GFAP. GFAP and S-100 were expressed in the glial components but not in the rosette or pseudorosette regions. The Ki-67 proliferation index was typically low. Molecular genetic analysis showed that the main molecular changes involved FGFR1 mutation accompanied by PIK3R1 mutation. None of the patients received chemoradiotherapy postoperatively. Follow-up durations varied between 4 and 23 months with no recorded recurrence or metastasis. CONCLUSION RGNT is a comparatively rare mixed glioneuronal tumor that occurs in the midline structures. Its morphology shows certain overlaps with other low-grade neuroepithelial tumors. Identifying the rosettes around the neuropil is critical for morphological diagnosis, and the molecular identification of FGFR1 mutations accompanied by PIK3R1 mutations can facilitate diagnosis.
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Affiliation(s)
- Jing Liu
- Department of Pathology, Shenzhen Second People's Hospital, Shenzhen University 1st Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, 518035, China
| | - Fan Lin
- Department of Radiology, Shenzhen Second People's Hospital, Shenzhen University 1st Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, 518035, China
| | - Yanhua Sun
- Department of Pathology, Shenzhen Second People's Hospital, Shenzhen University 1st Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, 518035, China
| | - Xia Liu
- Department of Pathology, Shenzhen Second People's Hospital, Shenzhen University 1st Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, 518035, China.
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Feng B, Ma C, liu Y, Hu Q, Lei Y, Wan M, Lin F, Cui J, Long W, Cui E. Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images. Heliyon 2024; 10:e25655. [PMID: 38371957 PMCID: PMC10873667 DOI: 10.1016/j.heliyon.2024.e25655] [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: 12/20/2023] [Revised: 01/25/2024] [Accepted: 01/31/2024] [Indexed: 02/20/2024] Open
Abstract
Background Differentiating adrenal adenomas from metastases poses a significant challenge, particularly in patients with a history of extra-adrenal malignancy. This study investigates the performance of three-phase computed tomography (CT) based robust federal learning algorithm and traditional deep learning for distinguishing metastases from benign adrenal lesions. Material and methods This retrospective analysis includes 1187 instances who underwent three-phase CT scans between January 2008 and March 2021, comprising 720 benign lesions and 467 metastases. Utilizing the three-phase CT images, both a Robust Federal Learning Signature (RFLS) and a traditional Deep Learning Signature (DLS) were constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression. Their diagnostic capabilities were subsequently validated and compared using metrics such as the Areas Under the Receiver Operating Curve (AUCs), Net Reclassification Improvement (NRI), and Decision Curve Analysis (DCA). Results Compared with DLS, the RFLS showed better capability in distinguishing metastases from benign adrenal lesions (average AUC: 0.816 vs.0.798, NRI = 0.126, P < 0.072; 0.889 vs.0.838, NRI = 0.209, P < 0.001; 0.903 vs.0.825, NRI = 0.643, p < 0.001) in the four-testing cohort, respectively. DCA showed that the RFLS added more net benefit than DLS for clinical utility. Moreover, Comparison with state-of-the-art federal learning methods, the results once again confirmed that the RFLS significantly improved the diagnostic performance based on three-phase CT (AUC: AP, 0.727 vs. 0.757 vs. 0.739 vs. 0.796; PCP, 0.781 vs. 0.851 vs. 0.790 vs. 0.882; VP, 0.789 vs. 0.814 vs. 0.779 vs. 0.886). Conclusion RFLS was superior to DLS for preoperative distinguishing metastases from benign adrenal lesions with multi-phase CT Images.
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Affiliation(s)
- Bao Feng
- Department of Radiology, Jiangmen Central Hospital, Jiangmen, 529030, China
- Laboratory of Intelligent Detection and Information Processing, Guilin University of Aerospace Technology, Guilin, 541004, China
| | - Changyi Ma
- Department of Radiology, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Yu liu
- Laboratory of Intelligent Detection and Information Processing, Guilin University of Aerospace Technology, Guilin, 541004, China
| | - Qinghui Hu
- Laboratory of Intelligent Detection and Information Processing, Guilin University of Aerospace Technology, Guilin, 541004, China
| | - Yan Lei
- Department of Radiology, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Meiqi Wan
- Department of Radiology, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, 518035, China
| | - Jin Cui
- Department of Radiology, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Wansheng Long
- Department of Radiology, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Enming Cui
- Department of Radiology, Jiangmen Central Hospital, Jiangmen, 529030, China
- Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, Guangzhou, 510620, China
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Lin F, Zhao J, Lu YX, Zou JZ, Xiao P, Liang JQ, Pang C, Gu QL. [Analysis of clinical characteristics of children with adenoid hypertrophy and pharyngolaryngeal reflux]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2024; 59:140-146. [PMID: 38369792 DOI: 10.3760/cma.j.cn115330-20231221-00318] [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: 02/20/2024]
Abstract
Objectives: To explore the clinical characteristics of children with adenoid hypertrophy (AH) and laryngopharyngeal reflux (LPR) by detecting the expression of pepsin in adenoids as a standard for AH with LPR. Methods: A total of 190 children who were admitted for surgical treatment due to AH were included in the study. The main clinical symptoms of the patients were recorded, and the degree of adenoid hypertrophy was evaluated. Before the surgery, Reflux Symptom Index (RSI) and Reflux Finding Score (RFS) were used to evaluate the reflux symptoms. After the surgery, pepsin immunohistochemical staining was performed on the adenoid tissue, and according to the staining results, the patients were divided into study group (pepsin staining positive) and control group (pepsin staining negative). SPSS 19.0 software was used for statistical analysis. Quantitative data conforming to normal distribution between the two groups were tested by two-independent sample t test, and quantitative data with skewed distribution were tested by Mann-Whitney U test. Results: The positive rate of pepsin staining in the 190 AH patients was 78.4% (149/190). The study group had higher levels of preoperative symptoms such as erythema and/or congestion of the pharynx(2.1±0.7 vs. 1.8±0.6,t=2.23), vocal cord edema[1.0(0, 1.0) vs. 1.0(0, 1.0), Z=2.00], diffuse laryngeal edema[0(0, 1.0) vs. 0(0, 0), Z=2.48], posterior commissure hypertrophy[(1.4±0.6 vs. 1.1±0.5), t=2.63], and a higher total score on the RFS scale than the control group(6.2±2.7 vs. 5.0±2.6, t=2.47), with statistical differences (P<0.05). The sensitivity and specificity of RFS score in diagnosing AH with LPR were 24.8% and 80.5%, respectively. When RFS>5 was used as the positive threshold, the sensitivity and specificity of RFS score in diagnosing AH with LPR were 61.1% and 58.5%, respectively. There was a statistical difference in the number of positive cases of RFS score between the study group and the control group(91 vs. 17,χ2=5.04,P=0.032). Conclusions: LPR is common in AH children. Children with AH and LPR have specific performance in electronic laryngoscopy, such as erythema with edema in the pharynx, posterior commissure hypertrophy, and vocal cord edema.
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Affiliation(s)
- F Lin
- Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital, Capital Institute of Pediatrics,Beijing 100020,China
| | - J Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital, Capital Institute of Pediatrics,Beijing 100020,China
| | - Y X Lu
- Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital, Capital Institute of Pediatrics,Beijing 100020,China
| | - J Z Zou
- Department of Pathology, Children's Hospital Capital Institute of Pediatrics,Beijing 100020,China
| | - P Xiao
- Department of Pathology, Children's Hospital Capital Institute of Pediatrics,Beijing 100020,China
| | - J Q Liang
- Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital, Capital Institute of Pediatrics,Beijing 100020,China
| | - C Pang
- Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital, Capital Institute of Pediatrics,Beijing 100020,China
| | - Q L Gu
- Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital, Capital Institute of Pediatrics,Beijing 100020,China
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Liao L, Lin F, Gao J. Microbial gatekeepers: unraveling the role of the gut microbiota enzyme DPP4 in diabetes management. Trends Biochem Sci 2024; 49:99-100. [PMID: 37770288 DOI: 10.1016/j.tibs.2023.09.005] [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: 09/03/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 09/30/2023]
Abstract
Wang et al. identified dipeptidyl peptidase 4 (DPP4) as a gut microbe-derived enzyme that impacts on host glucose metabolism. They further introduced a novel therapeutic, daurisoline-d4 (Dau-d4), a selective microbial DPP4 (mDPP4) inhibitor that shows promise in improving glucose tolerance, highlighting the potential of therapies that target both host enzymes and gut microbial enzymes.
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Affiliation(s)
- Lijuan Liao
- Key Laboratory of Biopesticides and Chemical Biology of the Ministry of Education, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, PR China; State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Fan Lin
- School of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Jiangtao Gao
- Key Laboratory of Biopesticides and Chemical Biology of the Ministry of Education, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, PR China.
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23
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Mo YQ, Luo HY, Zhang HW, Liu YF, Deng K, Liu XL, Huang B, Lin F. Investigating the relationship between intracranial atherosclerotic plaque remodelling and diabetes using high-resolution vessel wall imaging. World J Diabetes 2024; 15:72-80. [PMID: 38313857 PMCID: PMC10835492 DOI: 10.4239/wjd.v15.i1.72] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/14/2023] [Accepted: 12/13/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Intracranial atherosclerosis, a leading cause of stroke, involves arterial plaque formation. This study explores the link between plaque remodelling patterns and diabetes using high-resolution vessel wall imaging (HR-VWI). AIM To investigate the factors of intracranial atherosclerotic remodelling patterns and the relationship between intracranial atherosclerotic remodelling and diabetes mellitus using HR-VWI. METHODS Ninety-four patients diagnosed with middle cerebral artery or basilar artery atherosclerosis were enrolled. Their basic clinical data were collected, and HR-VWI was performed. The vascular area at the plaque (VAMLN) and normal reference vessel (VAreference) were delineated and measured using image postprocessing software, and the Remodelling index (RI) was calculated. According to the value of the RI, the patients were divided into a positive remodelling (PR) group, intermediate remodelling (IR) group, negative remodelling (NR) group, PR group and non-PR (N-PR) group. RESULTS The PR group exhibited a higher prevalence of diabetes and serum cholesterol levels than the IR and NR groups [45.2%, 4.54 (4.16, 5.93) vs 25%, 4.80 ± 1.22 and 16.4%, 4.14 (3.53, 4.75), respectively, P < 0.05]. The diabetes incidence was also significantly greater in the PR group than in the N-PR group (45.2% vs 17.5%, P < 0.05). Furthermore, the PR group displayed elevated serum triglyceride and cholesterol levels compared to the N-PR group [1.64 (1.23, 2.33) and 4.54 (4.16, 5.93) vs 4.54 (4.16, 5.93) and 4.24 (3.53, 4.89), P < 0.05]. Logistic regression analysis revealed diabetes mellitus as an independent influencing factor in plaque-PR [odds ratio (95% confidence interval): 3.718 (1.207-11.454), P < 0.05]. CONCLUSION HR-VWI can clearly show the morphology and signal characteristics of intracranial vascular walls and plaques. Intracranial atherosclerotic plaques in diabetic patients are more likely to show PR, suggesting poor plaque stability and a greater risk of stroke.
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Affiliation(s)
- Yong-Qian Mo
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China
| | - Hai-Yu Luo
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China
| | - Han-Wen Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510282, Guangdong Province, China
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
| | - Yu-Feng Liu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Kan Deng
- Research Department, Philips Healthcare, Guangzhou 518000, Guangdong Province, China
| | - Xiao-Lei Liu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
| | - Biao Huang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510282, Guangdong Province, China
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, Guangdong Province, China
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
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Lynn TJ, Shi J, Liu H, Monaco SE, Prichard JW, Lin F. Trichorhinophalangeal Syndrome Type 1 Is a Highly Sensitive and Specific Marker for Diagnosing Triple-Negative Breast Carcinomas on Cytologic Samples. Arch Pathol Lab Med 2024; 148:e1-e8. [PMID: 37406296 DOI: 10.5858/arpa.2022-0411-oa] [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] [Accepted: 03/29/2023] [Indexed: 07/07/2023]
Abstract
CONTEXT.— Definitive diagnosis of metastatic triple-negative breast carcinoma (TNBC) is challenging on cytologic samples. Recent studies demonstrated that trichorhinophalangeal syndrome type 1 (TRPS1) is a highly sensitive and specific marker for diagnosing breast carcinomas, including TNBC, on surgical specimens. OBJECTIVE.— To evaluate TRPS1 expression in TNBCs on cytologic samples and a large series of nonbreast tumors on tissue microarray sections. DESIGN.— Immunohistochemical (IHC) analysis of TRPS1 and GATA-binding protein 3 (GATA3) was performed on 35 TNBC cases on surgical specimens, and 29 consecutive TNBC cases on cytologic specimens. IHC analysis of TRPS1 expression was also performed on 1079 nonbreast tumors on tissue microarray sections. RESULTS.— Of the surgical specimens, 35 of 35 TNBC cases (100%) were positive for TRPS1, all with diffuse positivity, whereas 27 of 35 (77%) were positive for GATA3, with diffuse positivity in 7 cases (26%). Of the cytologic samples, 27 of 29 TNBC cases (93%) were positive for TRPS1, with diffuse positivity in 20 cases (74%), whereas 12 of 29 (41%) were positive for GATA3, with diffuse positivity in 2 cases (17%). Of the nonbreast malignant tumors, TRPS1 expression was seen in 9.4% (3 of 32) of melanomas, 10.7% (3 of 28) of small cell carcinomas of the bladder, and 9.7% (4 of 41) of ovarian serous carcinomas. CONCLUSIONS.— Our data confirm that TRPS1 is a highly sensitive and specific marker for diagnosing TNBC cases on surgical specimens as reported in the literature. In addition, these data demonstrate that TRPS1 is a much more sensitive marker than GATA3 in detecting metastatic TNBC cases on cytologic samples. Therefore, inclusion of TRPS1 in the diagnostic IHC panel is recommended when a metastatic TNBC is suspected.
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Affiliation(s)
- Terrance J Lynn
- From the Department of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania
| | - Jianhui Shi
- From the Department of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania
| | - Haiyan Liu
- From the Department of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania
| | - Sara E Monaco
- From the Department of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania
| | - Jeffrey W Prichard
- From the Department of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania
| | - Fan Lin
- From the Department of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania
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Wang Y, Pan Y, Hou M, Luo R, He J, Lin F, Xia X, Li P, He C, He P, Cheng S, Song Z. Corrigendum to "Danggui Shaoyao San ameliorates the lipid metabolism via the PPAR signaling pathway in a Danio rerio (zebrafish) model of hyperlipidemia" [Biomed. Pharmacother. 168 (2023) 115736]. Biomed Pharmacother 2024; 170:115964. [PMID: 38042723 DOI: 10.1016/j.biopha.2023.115964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2023] Open
Affiliation(s)
- Yuke Wang
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Ying Pan
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Mirong Hou
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Rongsiqing Luo
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Jiawei He
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Fan Lin
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Xiaofang Xia
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Ping Li
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Chunxiang He
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Pan He
- Research Institute of Zhong Nan Grain and Oil Foods, Changsha 410208, Hunan, China
| | - Shaowu Cheng
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China.
| | - Zhenyan Song
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; National Key Laboratory Cultivation Base of Chinese Medicinal Powder & Innovative Medicinal Jointly Established by Province and Ministry, Changsha 410208, Hunan, China.
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Lin F. A Diagnostic Immunohistochemistry Update: Subspecialties in Anatomic Pathology. Arch Pathol Lab Med 2023; 147:1360-1363. [PMID: 38010359 DOI: 10.5858/arpa.2023-0171-ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/07/2023] [Indexed: 11/29/2023]
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Ma C, Feng B, Lin F, Lei Y, Xu K, Cui J, Liu Y, Long W, Cui E. Differentiating adrenal metastases from benign lesions with multiphase CT imaging: Deep learning could play an active role in assisting radiologists. Eur J Radiol 2023; 169:111169. [PMID: 37956572 DOI: 10.1016/j.ejrad.2023.111169] [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: 07/23/2023] [Revised: 10/05/2023] [Accepted: 10/22/2023] [Indexed: 11/15/2023]
Abstract
OBJECTIVES To develop and externally validate multiphase CT-based deep learning (DL) models for differentiating adrenal metastases from benign lesions. MATERIALS AND METHODS This retrospective two-center study included 1146 adrenal lesions from 1059 patients who underwent multiphase CT scanning between January 2008 and March 2021. The study encompassed 564 surgically confirmed adenomas, along with 135 benign lesions and 447 metastases confirmed by observation. DL models based on multiphase CT images were developed, validated and tested. The diagnostic performance of the classification models, imaging phases and radiologists with or without DL were compared using accuracy (ACC) and receiver operating characteristic (ROC) curves. Integrated discrimination improvement (IDI) analysis and the DeLong test were used to compare the area under the curve (AUC) among models. Decision curve analysis (DCA) was used to assess the clinical usefulness of the predictive models. RESULTS The DL signature based on LASSO (DLSL) had a higher AUC than that of the other classification models (IDI > 0, P < 0.05). Furthermore, the precontrast phase (PCP)-based DLSL performed best in the independent external validation (AUC = 0.881, ACC = 82.9 %) and clinical test cohorts (AUC = 0.790, ACC = 70.4 %), outperforming DLSL based on the other single-phase or three-phase images (IDI > 0, P < 0.05). DCA demonstrated that PCP-based DLSL provided a higher net benefit (0.01-0.95). The diagnostic performance led to statistically significant improvements when radiologists incorporated the DL model, with the AUC improving by 0.056-0.159 and the ACC improving by 0.069-0.178 (P < 0.05). CONCLUSION The DL model based on PCP CT images performed acceptably in differentiating adrenal metastases from benign lesions, and it may assist radiologists in accurate tumor staging for patients with a history of extra-adrenal malignancy.
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Affiliation(s)
- Changyi Ma
- Department of Radiology, Jiangmen Central Hospital, 23 Beijie Haibang Street, Jiangmen 529030, PR China
| | - Bao Feng
- School of Electronic Information and Automation, Guilin University of Aerospace Technology, 2 Jinji Road, Guilin 541000, PR China
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen 518035, PR China
| | - Yan Lei
- Zunyi Medical University, 1 Xiaoyuan Road, Zunyi 563006, PR China
| | - Kuncai Xu
- School of Electronic Information and Automation, Guilin University of Aerospace Technology, 2 Jinji Road, Guilin 541000, PR China
| | - Jin Cui
- Department of Radiology, Jiangmen Central Hospital, 23 Beijie Haibang Street, Jiangmen 529030, PR China
| | - Yu Liu
- School of Electronic Information and Automation, Guilin University of Aerospace Technology, 2 Jinji Road, Guilin 541000, PR China
| | - Wansheng Long
- Department of Radiology, Jiangmen Central Hospital, 23 Beijie Haibang Street, Jiangmen 529030, PR China
| | - Enming Cui
- Department of Radiology, Jiangmen Central Hospital, 23 Beijie Haibang Street, Jiangmen 529030, PR China; Zunyi Medical University, 1 Xiaoyuan Road, Zunyi 563006, PR China; Guangdong Medical University, 2 Wenming East Road, 524023, PR China; Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, PR China.
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Wang Y, Pan Y, Hou M, Luo R, He J, Lin F, Xia X, Li P, He C, He P, Cheng S, Song Z. Danggui Shaoyao San ameliorates the lipid metabolism via the PPAR signaling pathway in a Danio rerio (zebrafish) model of hyperlipidemia. Biomed Pharmacother 2023; 168:115736. [PMID: 37852100 DOI: 10.1016/j.biopha.2023.115736] [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: 07/26/2023] [Revised: 10/08/2023] [Accepted: 10/14/2023] [Indexed: 10/20/2023] Open
Abstract
The escalating prevalence of hyperlipidemia has a profound impact on individuals' daily physiological well-being. The traditional Chinese medicine (TCM) prescription Danggui Shaoyao San (DSS) has demonstrated significant clinical efficacy and promising prospects for clinical application. Leveraging network pharmacology and bioinformatics, we hypothesize that DSS can ameliorate lipid metabolic disorders in hyperlipidemia by modulating the PPAR signaling pathway. In this study, we employed a zebrafish model to investigate the impact of DSS on lipid metabolism in hyperlipidemia. Body weight alterations were monitored by pre- and postmodeling weight measurements. Behavioral assessments and quantification of liver biochemical markers were conducted using relevant assay kits. Pathways associated with lipid metabolism were identified through network pharmacology and GEO analysis, while PCR was utilized to assess genes linked to lipid metabolism. Western blotting was employed to analyze protein expression levels, and liver tissue underwent Oil Red O and immunofluorescence staining to evaluate liver lipid deposition. Our findings demonstrate that DSS effectively impedes weight gain and reduces liver lipid accumulation in zebrafish models with elevated lipid levels. The therapeutic effects of DSS on lipid metabolism are mediated through its modulation of the PPAR signaling pathway, resulting in a significant reduction in lipid accumulation within the body and alleviation of certain hyperlipidemia-associated symptoms.
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Affiliation(s)
- Yuke Wang
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and western medicine, Hunan University of Chinese medicine, Changsha 410208, Hunan, China
| | - Ying Pan
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Mirong Hou
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Rongsiqing Luo
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and western medicine, Hunan University of Chinese medicine, Changsha 410208, Hunan, China
| | - Jiawei He
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and western medicine, Hunan University of Chinese medicine, Changsha 410208, Hunan, China
| | - Fan Lin
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Xiaofang Xia
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China
| | - Ping Li
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and western medicine, Hunan University of Chinese medicine, Changsha 410208, Hunan, China
| | - Chunxiang He
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and western medicine, Hunan University of Chinese medicine, Changsha 410208, Hunan, China
| | - Pan He
- Research Institute of Zhong Nan Grain and Oil Foods, Changsha 410208, Hunan, China
| | - Shaowu Cheng
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and western medicine, Hunan University of Chinese medicine, Changsha 410208, Hunan, China.
| | - Zhenyan Song
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, Hunan, China; Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of integrated Chinese and western medicine, Hunan University of Chinese medicine, Changsha 410208, Hunan, China; National Key Laboratory Cultivation Base of Chinese Medicinal Powder & Innovative Medicinal Jointly Established by Province and Ministry, Changsha 410208, Hunan, China.
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29
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Zhu L, Cao P, Yang S, Lin F, Wang J. Prolonged exposure to environmental levels of microcystin-LR triggers ferroptosis in brain via the activation of Erk/MAPK signaling pathway. Ecotoxicol Environ Saf 2023; 267:115651. [PMID: 37913581 DOI: 10.1016/j.ecoenv.2023.115651] [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: 07/25/2023] [Revised: 10/16/2023] [Accepted: 10/27/2023] [Indexed: 11/03/2023]
Abstract
While existing research has illuminated the environmental dangers and neurotoxic effects of MC-LR exposure, the molecular underpinnings of brain damage from environmentally-relevant MC-LR exposure remain elusive. Employing a comprehensive approach involving RNA sequencing, histopathological examination, and biochemical analyses, we discovered genes differentially expressed and enriched in the ferroptosis pathway. This finding was associated with mitochondrial structural impairment and downregulation of Gpx4 and Slc7a11 in mice brains subjected to low-dose MC-LR over 180 days. Mirroring these findings, we noted reduced cell viability and GSH/GSSH ratio, along with an increased ROS level, in HT-22, BV-2, and bEnd.3 cells following MC-LR exposure. Intriguingly, MC-LR also amplified phospho-Erk levels in both in vivo and in vitro settings, and the effects were mitigated by treatment with PD98059, an Erk inhibitor. Taken together, our findings implicate the activation of the Erk/MAPK signaling pathway in MC-LR-induced ferroptosis, shedding valuable light on the neurotoxic mechanisms of MC-LR. These insights could guide future strategies to prevent MC-induced neurodegenerative diseases.
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Affiliation(s)
- Lingyun Zhu
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Pingping Cao
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Suisui Yang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fan Lin
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Jing Wang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
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Lin F, Sun H, Chen Y, Zhang YY, Liu J, He Y, Zheng FM, Xu ZL, Wang FR, Kong J, Wang ZD, Wan YY, Mo XD, Wang Y, Cheng YF, Zhang XH, Huang XJ, Xu LP. [Impact of SARS-CoV-2 infection on graft composition and early transplant outcomes following allogeneic hematopoietic stem cell transplantation]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:890-899. [PMID: 38185517 PMCID: PMC10753252 DOI: 10.3760/cma.j.issn.0253-2727.2023.11.002] [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] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Indexed: 01/09/2024]
Abstract
Objective: To assess the feasibility of using donors with novel coronavirus disease 2019 (COVID-19) for allogeneic hematopoietic stem cell transplantation (allo-HSCT) when there are no other available donors and allo-HSCT cannot be delayed or discontinued. Methods: Seventy-one patients with malignant hematological diseases undergoing allo-HSCT between December 8, 2022, and January 10, 2023, were included. Of these, 16 received grafts from donors with mild COVID-19 (D-COVID(+) group) and 55 received grafts from donors without COVID-19 (D-COVID(-) group). The graft compositions were compared between the two groups. Engraftment, acute graft-versus-host disease (aGVHD), overall survival (OS), and relapse were also evaluated. Results: There were no serious side effects or adverse events in the D-COVID(+) group. The mononuclear cell dose and CD34(+) cell dose were comparable between the two groups, and no additional apheresis was required. There were no significant differences in the lymphocyte, monocyte, and T-cell subset doses between the two groups. The median natural killer cell dose in the D-COVID(+) group was significantly higher than that in the D-COVID(-) group (0.69×10(8)/kg vs. 0.53×10(8)/kg, P=0.031). The median follow-up time was 72 (33-104) days. All patients achieved primary engraftment. The 60-day platelet engraftment rates in the D-COVID(+) and D-COVID(-) groups were 100% and (96.4±0.2) %, respectively (P=0.568). There were no significant differences in neutrophil (P=0.309) and platelet (P=0.544) engraftment times. The cumulative incidence of grade 2-4 aGVHD was (37.5±1.6) % vs. (16.4±0.3) % (P=0.062), and of grade 3-4 aGVHD was 25.0% ±1.3% vs. 9.1% ±0.2% (P=0.095) in the D-COVID(+) and D-COVID(-) groups, respectively. The probabilities of 60-day OS were 100% and 98.1% ±1.8% (P=0.522) in the D-COVID(+) and D-COVID(-) groups, respectively. There was no relapse of primary disease during the study period. Conclusion: When allo-HSCT cannot be delayed or discontinued and no other donor is available, a donor with mild COVID-19 should be considered if tolerable. Larger sample sizes and longer follow-up periods are required to validate these results.
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Affiliation(s)
- F Lin
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - H Sun
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Y Chen
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Y Y Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - J Liu
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Y He
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - F M Zheng
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Z L Xu
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - F R Wang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - J Kong
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Z D Wang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Y Y Wan
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - X D Mo
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Y Wang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - Y F Cheng
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - X H Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - X J Huang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
| | - L P Xu
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Key Laboratory of Hematopoietic Stem Cell Transplantation for the Treatment of Hematological Diseases, Beijing 100044, China
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Xia J, Xie N, Feng Y, Yin A, Liu P, Zhou R, Lin F, Teng G, Lei Y. Retracted: Brain Susceptibility Weighted Imaging Signal Changes in Acute Hemorrhagic Anemia: An Experimental Study Using a Rabbit Model. Med Sci Monit 2023; 29:e943175. [PMID: 37961852 PMCID: PMC10656780 DOI: 10.12659/msm.943175] [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: 11/13/2023] [Accepted: 11/13/2023] [Indexed: 11/15/2023] Open
Abstract
The Editors of Medical Science Monitor wish to inform you that the above manuscript has been retracted from publication due to concerns with the credibility and originality of the study, the manuscript content, and the Figure images. Reference: Jun Xia, Ni Xie, Yuning Feng, Anyu Yin, Pinni Liu, Ruming Zhou, Fan Lin, Guozhao Teng, Yi Lei. Brain Susceptibility Weighted Imaging Signal Changes in Acute Hemorrhagic Anemia: An Experimental Study Using a Rabbit Model. Med Sci Monit, 2014; 20: 1291-1297. DOI: 10.12659/MSM.890641.
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Affiliation(s)
- Jun Xia
- Department of Rodiology, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Ni Xie
- Biobank, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Yuning Feng
- Department of Rodiology, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Anyu Yin
- Department of Rodiology, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Pinni Liu
- Department of Rodiology, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Ruming Zhou
- Department of Interventional Radiology, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Fan Lin
- Department of Rodiology, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Guozhao Teng
- Medical Record and Statisitic Room, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Yi Lei
- Department of Rodiology, Second People’s Hospital of Shenzhen City, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
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Luo Q, Zhu H, Zhu J, Li Y, Yu Y, Lei L, Lin F, Zhou M, Cui L, Zhu T, Li X, Zuo H, Yang X. Artificial intelligence-enabled 8-lead ECG detection of atrial septal defect among adults: a novel diagnostic tool. Front Cardiovasc Med 2023; 10:1279324. [PMID: 38028503 PMCID: PMC10679442 DOI: 10.3389/fcvm.2023.1279324] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Background Patients with atrial septal defect (ASD) exhibit distinctive electrocardiogram (ECG) patterns. However, ASD cannot be diagnosed solely based on these differences. Artificial intelligence (AI) has been widely used for specifically diagnosing cardiovascular diseases other than arrhythmia. Our study aimed to develop an artificial intelligence-enabled 8-lead ECG to detect ASD among adults. Method In this study, our AI model was trained and validated using 526 ECGs from patients with ASD and 2,124 ECGs from a control group with a normal cardiac structure in our hospital. External testing was conducted at Wuhan Central Hospital, involving 50 ECGs from the ASD group and 46 ECGs from the normal group. The model was based on a convolutional neural network (CNN) with a residual network to classify 8-lead ECG data into either the ASD or normal group. We employed a 10-fold cross-validation approach. Results Statistically significant differences (p < 0.05) were observed in the cited ECG features between the ASD and normal groups. Our AI model performed well in identifying ECGs in both the ASD group [accuracy of 0.97, precision of 0.90, recall of 0.97, specificity of 0.97, F1 score of 0.93, and area under the curve (AUC) of 0.99] and the normal group within the training and validation datasets from our hospital. Furthermore, these corresponding indices performed impressively in the external test data set with the accuracy of 0.82, precision of 0.90, recall of 0.74, specificity of 0.91, F1 score of 0.81 and the AUC of 0.87. And the series of experiments of subgroups to discuss specific clinic situations associated to this issue was remarkable as well. Conclusion An ECG-based detection of ASD using an artificial intelligence algorithm can be achieved with high diagnostic performance, and it shows great clinical promise. Our research on AI-enabled 8-lead ECG detection of ASD in adults is expected to provide robust references for early detection of ASD, healthy pregnancies, and related decision-making. A lower number of leads is also more favorable for the application of portable devices, which it is expected that this technology will bring significant economic and societal benefits.
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Affiliation(s)
- Qiushi Luo
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongling Zhu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiabing Zhu
- Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China
| | - Yi Li
- Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China
| | - Yang Yu
- Division of Cardiology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Lei
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Lin
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Minghe Zhou
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Longyan Cui
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Zhu
- Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China
| | - Xuefei Li
- Wuhan National High Magnetic Field Center, Huazhong University of Science and Technology, Wuhan, China
| | - Huakun Zuo
- Wuhan National High Magnetic Field Center, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyun Yang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Lin F, Chen J, Chen M, Lin S, Dong S. Protective effect and possible mechanisms of resveratrol in animal models of osteoporosis: A preclinical systematic review and meta-analysis. Phytother Res 2023; 37:5223-5242. [PMID: 37482965 DOI: 10.1002/ptr.7954] [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: 09/27/2022] [Revised: 05/15/2023] [Accepted: 06/30/2023] [Indexed: 07/25/2023]
Abstract
Resveratrol (RES) has extensively been utilized to treat osteoporosis (OP) in animal models. However, the anti-OP effects of RES have not been tested during clinical application due to the lack of evidence and poor knowledge of the underlying mechanisms. Moreover, there is little preclinical evidence to support the use of RES in the management of OP. In the present paper, we conducted a preclinical systematic review and meta-analysis to assess the efficacy of RES in animal OP models. The potential mechanisms underlying the efficacy of RES against OP were summarized. The online databases PubMed, CNKI, EMBASE, Wanfang, Web of Science, Chinese Biomedical Literature, Cochrane Library, and Chinese VIP were retrieved from inception to December 2021. The CAMARADES 10-item quality checklist was utilized to assess the risk of bias of the included studies. STATA 12.0 software was employed to analyze the data. The quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach. Thirteen studies containing 248 animals were included yielding a mean risk of bias score of 5.54 (range 4-7). The pooled estimates showed that the administration of RES could significantly elevate the bone mineral density (BMD) both at femur (SMD = 2.536; 95% CI = 1.950-3.122; p < 0.001) and lumbar spine (SMD = 1.363; 95% CI = 0894-1.832; p < 0.001), bone volume over total volume (BV/TV) (SMD = 2.543; 95% CI = 2.023-3.062; p < 0.001), trabecular linear density (Tb.N) (SMD = 2.724; 95% CI = 2.186-3.262; p < 0.001) and trabecular thickness (Tb.Th) (SMD = 1.745; 95% CI = 1.294-2.196; p < 0.001), while serum phosphorus (S-P) (SMD = -2.168; 95% CI = -2.753 to -1.583; p < 0.001) and trabecular separation (Tb.Sp) (SMD = -2.856; 95% CI = -4.218 to -1.494; p < 0.001) were significantly reduced in animal OP models. No significant change in serum calcium (S-Ca) (SMD = -2.448; 95% CI = -5.255-0.360; p = 0.087) was observed after RES treatment. Furthermore, RES could significantly improve the bone biomechanical indexes: bone maximum load (BML) (SMD = 2.563; 95% CI = 1.827-3.299; p < 0.001) and connectivity density (Conn.D) (SMD = 1.512; 95% CI = 0.909-2.116; p < 0.001) and decrease the structural model index (SMI) (SMD = -2.522; 95% CI = -3.243 to -1.801; p < 0.001). Overall, the present study revealed that RES has huge prospects as a medicine or dietary supplement for the clinical treatment of OP. High-quality studies with stringent designs and larger sample sizes are warranted to substantiate our conclusion.
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Affiliation(s)
- Fan Lin
- Department of Orthopaedic Surgery, Wenzhou Central Hospital, Wenzhou, China
| | - Jiaru Chen
- Department of Orthopaedic Surgery, Wenzhou Central Hospital, Wenzhou, China
| | - Mangmang Chen
- Department of Orthopaedic Surgery, Wenzhou Central Hospital, Wenzhou, China
| | - Shenglei Lin
- Department of Orthopaedic Surgery, Wenzhou Central Hospital, Wenzhou, China
| | - Shuangxia Dong
- Department of Respiratory Medicine, Wenzhou Central Hospital, Wenzhou, China
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Zhao R, Chen R, Zhao H, Lin F, Han JG. Exploration on Electronic Properties of Self-Assembled Indium Nitrogen Nanosheets and Nanowires by a Density Functional Method. Molecules 2023; 28:7358. [PMID: 37959777 PMCID: PMC10650422 DOI: 10.3390/molecules28217358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 10/23/2023] [Accepted: 10/28/2023] [Indexed: 11/15/2023] Open
Abstract
Equilibrium geometries and properties of self-assembled (InN)12n (n = 1-9) nanoclusters (nanowires and nanosheets) are studied using the GGA-PBE (general gradient approximation with Perdew-Burke-Ernzerh) method. The relative stabilities and growth patterns of semiconductor (InN)12n nanoclusters are investigated. The odd-numbered nano-size (InN)12n (n is odd) have weaker stabilities compared with the neighboring even-numbered (InN)12n (n is even) ones. The most stable (InN)48 nanosheet is selected as a building unit for self-assembled nano-size film materials. In particular, the energy gaps of InN nanoclusters show an even-odd oscillation and reflect that (InN)12n (n = 1-9) nanoclusters are good optoelectronic materials and nanodevices due to their energy gaps in the visible region. Interestingly, the calculated energy gaps for (InN)12n nanowires varies slightly compared with that of individual (InN)12 units. Additionally, the predicted natural atomic populations of In atoms in (InN)12n nanoclusters show that the stabilities of (InN)12n nanoclusters is enhanced through the ionic bonding and covalent bonding of (InN)12n (n = 1-9) nanoclusters.
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Affiliation(s)
- Running Zhao
- School of Arts and Sciences, Shanghai Dianji University, Shanghai 201306, China
| | - Rui Chen
- School of Arts and Sciences, Shanghai Dianji University, Shanghai 201306, China
| | - Hua Zhao
- School of Arts and Sciences, Shanghai Dianji University, Shanghai 201306, China
| | - Fan Lin
- School of Arts and Sciences, Shanghai Dianji University, Shanghai 201306, China
| | - Ju-Guang Han
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China
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Dong L, Lin F, Wu W, Huang W, Cai Z. Erratum: Transcriptional cofactor Mask2 is required for YAP-induced cell growth and migration in bladder cancer cell: Erratum. J Cancer 2023; 14:3521-3522. [PMID: 38021162 PMCID: PMC10647188 DOI: 10.7150/jca.91041] [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] [Indexed: 12/01/2023] Open
Abstract
[This corrects the article DOI: 10.7150/jca.16438.].
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Affiliation(s)
| | | | | | - Weiren Huang
- State Engineering Laboratory of Medical Key Technologies Application of Synthetic Biology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518039, PR China
| | - Zhiming Cai
- State Engineering Laboratory of Medical Key Technologies Application of Synthetic Biology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518039, PR China
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Huang Y, Lin F, Hao CY, Liang JL, Zhou DP, Wang HY. [Effects of modified proper digital artery island flap in repairing complex fingertip defects]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:947-952. [PMID: 37899560 DOI: 10.3760/cma.j.cn501225-20230109-00008] [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: 10/31/2023]
Abstract
Objective: To investigate the surgical method and clinical effects of the modified proper digital artery island flap in repairing complex fingertip defects. Methods: A retrospective observational study was conducted. From January 2017 to December 2021, 15 patients (15 fingers) with complex fingertip defects, involving the pulp, nail bed, and lateral wall of the nail, who met the inclusion criteria were admitted into General Hospital of Northern Theater Command, including 11 males and 4 females, aged from 18 to 55 years. The area of the post debridement wound was from 2.5 cm×2.0 cm to 3.5 cm×3.5 cm, and all the wounds were repaired by using modified proper digital artery island flap (including 3 parts: main flap, tongue-shaped flap, and triangular flap), of which the main flap was used to cover the finger pulp defect, the tongue-shaped flap was used to cover the nail bed and the nail lateral wall defect, and the triangular flap was inserted into the edge of the finger pulp wound to cover the vessel pedicle. The range of the flap ranged from 3.0 cm×2.0 cm to 4.5 cm×3.0 cm. The wound at the donor site was repaired with full-thickness skin graft of the groin, and the donor site of the skin graft was sutured directly. After operation, the survival of the flap and skin graft as well as and the appearance of the affected finger were observed. During the follow-up, the fingertip morphology of the affected finger was observed, two-point discrimination distance of the affected finger pulp was measured, and the patients' satisfaction with the efficacy (including very satisfied, satisfied, and dissatisfied) was asked, and the affected finger function was evaluated by the total active movement (TAM) system evaluation standard recommended by American Academy for Surgery of Hand. Results: After operation, the main flaps and skin grafts in 15 patients all survived; but the incision at the edge of tongue-shaped flap in one patient healed poorly, and one patient developed venous stasis at the distal end of the tongue-shaped flap; the triangular flap at the pedicle was slightly bloated in the early postoperative period and became smooth after 2 to 3 months. Overall, two patients developed subcutaneous hematoma in their flaps. All the complications were healed by appropriate dressing change, suture removal, or compression bandaging. After operation, the appearance of the flap was full and formed a prominent fingertip shape. During the follow-up of 6 months to 5 years, the fingertips of the affected fingers were prominent and full; the two-point discrimination distance of the affected finger pulp was (8.6±1.4) mm; 8 patients were very satisfied with the efficacy, 6 patients were satisfied, and one patient was dissatisfied; the functional assessment of the affected fingers were all excellent. Conclusions: The modified proper digital artery island flap can repair complex fingertip defects involving the pulp, nail bed, and lateral wall of the nail. The operation is simple, and the shape and function of the fingertip are good after surgery.
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Affiliation(s)
- Y Huang
- Department of Burns and Plastic Surgery, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - F Lin
- Department of Burns and Plastic Surgery, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - C Y Hao
- Department of Burns and Plastic Surgery, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - J L Liang
- Department of Burns and Plastic Surgery, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - D P Zhou
- Department of Burns and Plastic Surgery, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - H Y Wang
- Department of Burns and Plastic Surgery, General Hospital of Northern Theater Command, Shenyang 110016, China
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Liu H, Kuang J, Xu Y, Li T, Li P, Huang Z, Zhang S, Weng J, Lai Y, Wu Z, Lin F, Gu W, Huang Y. Investigation of the optimal indocyanine green dose in real-time fluorescent cholangiography during laparoscopic cholecystectomy with an ultra-high-definition 4K fluorescent system: a randomized controlled trial. Updates Surg 2023; 75:1903-1910. [PMID: 37314620 PMCID: PMC10543949 DOI: 10.1007/s13304-023-01557-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: 01/16/2023] [Accepted: 05/31/2023] [Indexed: 06/15/2023]
Abstract
This study aimed to investigate the indocyanine green (ICG) dose in real-time fluorescent cholangiography during laparoscopic cholecystectomy (LC) with a 4K fluorescent system. A randomized controlled clinical trial was conducted in patients who underwent LC for treatment of cholelithiasis. Using the OptoMedic 4K fluorescent endoscopic system, we compared four different doses of ICG (1, 10, 25, and 100 µg) administered intravenously within 30 min preoperatively and evaluated the fluorescence intensity (FI) of the common bile duct and liver background and the bile-to-liver ratio (BLR) of the FI at three timepoints: before surgical dissection of the cystohepatic triangle, before clipping the cystic duct, and before closure. Forty patients were randomized into four groups, and 33 patients were fully analyzed, with 10 patients in Group A (1 µg), 7 patients in Group B (10 µg), 9 patients in Group C (25 µg), and 7 patients in Group D (100 µg). The preoperative baseline characteristics were compared among groups (p > 0.05). Group A showed no or minimal FI in the bile duct and liver background, while Group D showed extremely high FIs in the bile duct and in the liver background at the three timepoints. Groups B and C presented with visible FI in the bile duct and low FI in the liver background. With increasing ICG doses, the FIs in the liver background and bile duct gradually increased at the three timepoints. The BLR, however, showed no increasing trend with an increasing ICG dose. A relatively high BLR on average was found in Group B, without a significant difference compared to the other groups (p > 0.05). An ICG dose ranging from 10 to 25 µg by intravenous administration within 30 min preoperatively was appropriate for real-time fluorescent cholangiography in LC with a 4K fluorescent system. Registration: This study was registered in the Chinese Clinical Trial Registry (ChiCTR No: ChiCTR2200064726).
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Affiliation(s)
- Hui Liu
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Jiao Kuang
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Yujie Xu
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Tianyang Li
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
| | - Peilin Li
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
| | - Zisheng Huang
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
| | - Shuai Zhang
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Jiefeng Weng
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Yueyuan Lai
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Zhaofeng Wu
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Fan Lin
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China
| | - Weili Gu
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China.
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China.
| | - Yu Huang
- Department of Hepatobiliary Pancreatic Surgery, Guangzhou First People's Hospital, No.1 Panfu Road, Yuexiu District, Guangzhou, 510180, Guangdong, People's Republic of China.
- Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, China.
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Liu LH, Zhang HW, Zhang HB, Liu XL, Deng HZ, Lin F, Huang B. Distinctive magnetic resonance imaging features in primary central nervous system lymphoma: A case report. World J Radiol 2023; 15:274-280. [PMID: 37823021 PMCID: PMC10563853 DOI: 10.4329/wjr.v15.i9.274] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/04/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023] Open
Abstract
BACKGROUND Primary central nervous system lymphoma (PCNSL) is a rare malignant tumor originating from the lymphatic hematopoietic system. It exhibits unique imaging manifestations due to its biological characteristics. CASE SUMMARY Magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI), perfusion-weighted imaging (PWI), and magnetic resonance spectroscopy was performed. The imaging findings showed multiple space-occupying lesions with low signal on T1-weighted imaging, uniform high signal on T2-weighted imaging, and obvious enhancement on contrast-enhanced scans. DWI revealed diffusion restriction, PWI demonstrated hypoperfusion, and spectroscopy showed elevated choline peak and decreased N-acetylaspartic acid. The patient's condition significantly improved after hormone shock therapy. CONCLUSION This case highlights the distinctive imaging features of PCNSL and their importance in accurate diagnosis and management.
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Affiliation(s)
- Li-Hong Liu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
| | - Han-Wen Zhang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Hong-Bo Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510282, Guangdong Province, China
- Department of Radiology, Sun Yat-Sen University, Shenzhen 518000, Guangdong Province, China
| | - Xiao-Lei Liu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
| | - Hua-Zhen Deng
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen 518036, Guangdong Province, China
| | - Biao Huang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510282, Guangdong Province, China
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, Guangdong Province, China
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Roshandel D, Sanders EJ, Shakeshaft A, Panjwani N, Lin F, Collingwood A, Hall A, Keenan K, Deneubourg C, Mirabella F, Topp S, Zarubova J, Thomas RH, Talvik I, Syvertsen M, Striano P, Smith AB, Selmer KK, Rubboli G, Orsini A, Ng CC, Møller RS, Lim KS, Hamandi K, Greenberg DA, Gesche J, Gardella E, Fong CY, Beier CP, Andrade DM, Jungbluth H, Richardson MP, Pastore A, Fanto M, Pal DK, Strug LJ. SLCO5A1 and synaptic assembly genes contribute to impulsivity in juvenile myoclonic epilepsy. NPJ Genom Med 2023; 8:28. [PMID: 37770509 PMCID: PMC10539321 DOI: 10.1038/s41525-023-00370-z] [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] [Accepted: 08/29/2023] [Indexed: 09/30/2023] Open
Abstract
Elevated impulsivity is a key component of attention-deficit hyperactivity disorder (ADHD), bipolar disorder and juvenile myoclonic epilepsy (JME). We performed a genome-wide association, colocalization, polygenic risk score, and pathway analysis of impulsivity in JME (n = 381). Results were followed up with functional characterisation using a drosophila model. We identified genome-wide associated SNPs at 8q13.3 (P = 7.5 × 10-9) and 10p11.21 (P = 3.6 × 10-8). The 8q13.3 locus colocalizes with SLCO5A1 expression quantitative trait loci in cerebral cortex (P = 9.5 × 10-3). SLCO5A1 codes for an organic anion transporter and upregulates synapse assembly/organisation genes. Pathway analysis demonstrates 12.7-fold enrichment for presynaptic membrane assembly genes (P = 0.0005) and 14.3-fold enrichment for presynaptic organisation genes (P = 0.0005) including NLGN1 and PTPRD. RNAi knockdown of Oatp30B, the Drosophila polypeptide with the highest homology to SLCO5A1, causes over-reactive startling behaviour (P = 8.7 × 10-3) and increased seizure-like events (P = 6.8 × 10-7). Polygenic risk score for ADHD genetically correlates with impulsivity scores in JME (P = 1.60 × 10-3). SLCO5A1 loss-of-function represents an impulsivity and seizure mechanism. Synaptic assembly genes may inform the aetiology of impulsivity in health and disease.
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Affiliation(s)
- Delnaz Roshandel
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada
| | - Eric J Sanders
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, The University of Toronto, Toronto, Canada
| | - Amy Shakeshaft
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Naim Panjwani
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada
| | - Fan Lin
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada
| | - Amber Collingwood
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Anna Hall
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Katherine Keenan
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada
| | - Celine Deneubourg
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Filippo Mirabella
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Simon Topp
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Jana Zarubova
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Rhys H Thomas
- Newcastle upon Tyne NHS Foundation Trust, Newcastle, UK
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | | | - Marte Syvertsen
- Department of Neurology, Drammen Hospital, Vestre Viken Health Trust, Oslo, Norway
| | - Pasquale Striano
- IRCCS Istituto 'G. Gaslini', Genova, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy
| | - Anna B Smith
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Kaja K Selmer
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- National Centre for Epilepsy, Oslo University Hospital, Oslo, Norway
| | - Guido Rubboli
- Danish Epilepsy Centre, Dianalund, Denmark
- University of Copenhagen, Copenhagen, Denmark
| | - Alessandro Orsini
- Pediatric Neurology, Azienda Ospedaliero-Universitaria Pisana, Pisa University Hospital, Pisa, Italy
| | - Ching Ching Ng
- Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia
| | - Rikke S Møller
- Danish Epilepsy Centre, Dianalund, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Kheng Seang Lim
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Khalid Hamandi
- The Welsh Epilepsy Unit, Department of Neurology Cardiff & Vale University Health Board, Cardiff, UK
- Department of Psychological Medicine and Clinical Neuroscience, Cardiff University, Cardiff, UK
| | | | | | - Elena Gardella
- Danish Epilepsy Centre, Dianalund, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Choong Yi Fong
- Division of Paediatric Neurology, Department of Pediatrics, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Danielle M Andrade
- Adult Epilepsy Genetics Program, Krembil Research Institute, University of Toronto, Toronto, Canada
| | - Heinz Jungbluth
- Randall Centre for Cell and Molecular Biophysics, Muscle Signalling Section, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Department of Paediatric Neurology, Neuromuscular Service, Evelina's Children Hospital, Guy's & St. Thomas' Hospital NHS Foundation Trust, London, UK
| | - Mark P Richardson
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- King's College Hospital, London, UK
| | - Annalisa Pastore
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Manolis Fanto
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Deb K Pal
- Department of Basic & Clinical Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
- King's College Hospital, London, UK.
| | - Lisa J Strug
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Canada.
- Division of Biostatistics, Dalla Lana School of Public Health, The University of Toronto, Toronto, Canada.
- Departments of Statistical Sciences and Computer Science, The University of Toronto, Toronto, Canada.
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Canada.
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Yin J, Wang X, Ge X, Ding F, Shi Z, Ge Z, Huang G, Zhao N, Chen D, Zhang J, Agnihotri S, Cao Y, Ji J, Lin F, Wang Q, Zhou Q, Wang X, You Y, Lu Z, Qian X. Hypoxanthine phosphoribosyl transferase 1 metabolizes temozolomide to activate AMPK for driving chemoresistance of glioblastomas. Nat Commun 2023; 14:5913. [PMID: 37737247 PMCID: PMC10516874 DOI: 10.1038/s41467-023-41663-2] [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: 11/02/2022] [Accepted: 09/13/2023] [Indexed: 09/23/2023] Open
Abstract
Temozolomide (TMZ) is a standard treatment for glioblastoma (GBM) patients. However, TMZ has moderate therapeutic effects due to chemoresistance of GBM cells through less clarified mechanisms. Here, we demonstrate that TMZ-derived 5-aminoimidazole-4-carboxamide (AICA) is converted to AICA ribosyl-5-phosphate (AICAR) in GBM cells. This conversion is catalyzed by hypoxanthine phosphoribosyl transferase 1 (HPRT1), which is highly expressed in human GBMs. As the bona fide activator of AMP-activated protein kinase (AMPK), TMZ-derived AICAR activates AMPK to phosphorylate threonine 52 (T52) of RRM1, the catalytic subunit of ribonucleotide reductase (RNR), leading to RNR activation and increased production of dNTPs to fuel the repairment of TMZ-induced-DNA damage. RRM1 T52A expression, genetic interruption of HPRT1-mediated AICAR production, or administration of 6-mercaptopurine (6-MP), a clinically approved inhibitor of HPRT1, blocks TMZ-induced AMPK activation and sensitizes brain tumor cells to TMZ treatment in mice. In addition, HPRT1 expression levels are positively correlated with poor prognosis in GBM patients who received TMZ treatment. These results uncover a critical bifunctional role of TMZ in GBM treatment that leads to chemoresistance. Our findings underscore the potential of combined administration of clinically available 6-MP to overcome TMZ chemoresistance and improve GBM treatment.
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Affiliation(s)
- Jianxing Yin
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
- Gusu School, Nanjing Medical University, 215006, Suzhou, China
| | - Xiefeng Wang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
| | - Xin Ge
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Nanjing Medical University, 210029, Nanjing, China
| | - Fangshu Ding
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Nanjing Medical University, 210029, Nanjing, China
| | - Zhumei Shi
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
| | - Zehe Ge
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Nanjing Medical University, 210029, Nanjing, China
| | - Guang Huang
- Department of Health Inspection and Quarantine, School of Public Health, Nanjing Medical University, 211166, Nanjing, China
| | - Ningwei Zhao
- China Exposomics Institute, 200120, Shanghai, China
- Affiliated Hospital of Nanjing University of Chinese Medicine, 210029, Nanjing, China
| | - Dongyin Chen
- Department of Medicinal Chemistry, School of Pharmacy, Nanjing Medical University, 211166, Nanjing, China
| | - Junxia Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
| | - Sameer Agnihotri
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, 15224, USA
| | - Yuandong Cao
- Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China
| | - Jing Ji
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
| | - Fan Lin
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, 211166, Nanjing, China
| | - Qianghu Wang
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
- Department of Bioinformatics, Nanjing Medical University, 211166, Nanjing, China
| | - Qigang Zhou
- Department of Clinical Pharmacology, School of Pharmacy, Nanjing Medical University, 211166, Nanjing, China
| | - Xiuxing Wang
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, 211166, Nanjing, China
- National Health Commission Key Laboratory of Antibody Technologies, Nanjing Medical University, 211166, Nanjing, China
| | - Yongping You
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China.
| | - Zhimin Lu
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, 310029, Hangzhou, China.
- Institute of Translational Medicine, Zhejiang University Cancer Center, Zhejiang University, 310029, Hangzhou, China.
| | - Xu Qian
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
- Institute for Brain Tumors, Collaborative Innovation Center for Cancer Personalized Medicine, and Center for Global Health, Nanjing Medical University, 211166, Nanjing, China.
- Department of Nutrition and Food Hygiene, School of Public Health, Nanjing Medical University, 210029, Nanjing, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, 211166, Nanjing, China.
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Lin Z, Qin Y, Chen H, Shi D, Zhong M, An T, Chen L, Wang Y, Lin F, Li G, Ji ZL. TransIntegrator: capture nearly full protein-coding transcript variants via integrating Illumina and PacBio transcriptomes. Brief Bioinform 2023; 24:bbad334. [PMID: 37779246 DOI: 10.1093/bib/bbad334] [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: 05/10/2023] [Revised: 08/23/2023] [Accepted: 08/30/2023] [Indexed: 10/03/2023] Open
Abstract
Genes have the ability to produce transcript variants that perform specific cellular functions. However, accurately detecting all transcript variants remains a long-standing challenge, especially when working with poorly annotated genomes or without a known genome. To address this issue, we have developed a new computational method, TransIntegrator, which enables transcriptome-wide detection of novel transcript variants. For this, we determined 10 Illumina sequencing transcriptomes and a PacBio full-length transcriptome for consecutive embryo development stages of amphioxus, a species of great evolutionary importance. Based on the transcriptomes, we employed TransIntegrator to create a comprehensive transcript variant library, namely iTranscriptome. The resulting iTrancriptome contained 91 915 distinct transcript variants, with an average of 2.4 variants per gene. This substantially improved current amphioxus genome annotation by expanding the number of genes from 21 954 to 38 777. Further analysis manifested that the gene expansion was largely ascribed to integration of multiple Illumina datasets instead of involving the PacBio data. Moreover, we demonstrated an example application of TransIntegrator, via generating iTrancriptome, in aiding accurate transcriptome assembly, which significantly outperformed other hybrid methods such as IDP-denovo and Trinity. For user convenience, we have deposited the source codes of TransIntegrator on GitHub as well as a conda package in Anaconda. In summary, this study proposes an affordable but efficient method for reliable transcriptomic research in most species.
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Affiliation(s)
- Zhe Lin
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
- National Institute for Data Science in Health and Medicine, Xiamen University, 361102, Xiamen, China
| | - Yangmei Qin
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
| | - Hao Chen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
| | - Dan Shi
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
| | - Mindong Zhong
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
| | - Te An
- School of Informatics, Xiamen University, 361005, Xiamen, China
| | - Linshan Chen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
| | - Yiquan Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
| | - Fan Lin
- National Institute for Data Science in Health and Medicine, Xiamen University, 361102, Xiamen, China
- School of Informatics, Xiamen University, 361005, Xiamen, China
| | - Guang Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
| | - Zhi-Liang Ji
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, 361102, Xiamen, China
- National Institute for Data Science in Health and Medicine, Xiamen University, 361102, Xiamen, China
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Li Y, Lin F, Ling Q, Xiao Y, Xue X, Zhou W, Wang HL. Detection of Human Papillomavirus in Squamous Papilloma of the Esophagus. Int J Surg Pathol 2023:10668969231195772. [PMID: 37728123 DOI: 10.1177/10668969231195772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Introduction: The etiology of esophageal squamous papilloma (ESP) is largely unknown. Previous studies have shown a variable association with human papillomavirus (HPV) with conflicting data. The aim of this study was to further investigate the possible association of HPV in our ESP series using RNA in-situ hybridization (ISH) and compare study groups from the United States of America and China. Methods: Demographic and clinical data of patients with ESP were retrieved from the University of California Los Angeles (UCLA) (1/2016-3/2019) and Peking Union Medical College Hospital (PUMCH) (9/2014-3/2019) pathology databases. Hematoxylin and eosin slides were reexamined. Confirmed cases were examined by high- and low-risk HPV RNA ISH. Results: For the UCLA cohort, 13 429 upper endoscopies were performed and 78 biopsies from 72 patients were identified as ESP (F:M = 45:27, 66.7% > 45 years). Seventy-four (94.9%) biopsies were designated as polyps or nodules and 46.6% were located in the mid-esophagus. Other abnormal findings included gastroesophageal reflux disease (48.6%), hiatal hernia (38.9%), and esophagitis (36.1%). For the PUMCH cohort, 63 754 upper endoscopies were performed and 73 biopsies from 71 patients were identified as ESP (F:M = 48:23, 71.8% > 45 years). Sixty-four (87.7%) biopsies were designated as polyps or nodules and 57.5% were located in the mid-esophagus. Other abnormal findings included esophagitis (19.7%), and hiatal hernia (8.5%). No features of conventional cytologic dysplasia or viral cytopathic change were found. None of the cases was associated with squamous cell carcinoma, and none showed positive HPV RNA ISH results. Conclusions: No association was found between ESP and active HPV infection in our 2 cohorts. Other etiopathogenetic mechanisms, such as aging, might contribute to the development of these innocent lesions.
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Affiliation(s)
- Yuan Li
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
- Cedars-Sinai Biobank & Research Pathology Resource, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Fan Lin
- Department of Laboratory Medicine, Geisinger Health System, Danville, PA, USA
| | - Qing Ling
- Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
| | - Yanmei Xiao
- Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
| | - Xiaowei Xue
- Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
| | - Weixun Zhou
- Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
| | - Hanlin L Wang
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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Yuan W, Zhang Q, Gu D, Lu C, Dixit D, Gimple RC, Gao Y, Gao J, Li D, Shan D, Hu L, Li L, Li Y, Ci S, You H, Yan L, Chen K, Zhao N, Xu C, Lan J, Liu D, Zhang J, Shi Z, Wu Q, Yang K, Zhao L, Qiu Z, Lv D, Gao W, Yang H, Lin F, Wang Q, Man J, Li C, Tao W, Agnihotri S, Qian X, Mack SC, Zhang N, You Y, Rich JN, Sun G, Wang X. Dual Role of CXCL8 in Maintaining the Mesenchymal State of Glioblastoma Stem Cells and M2-Like Tumor-Associated Macrophages. Clin Cancer Res 2023; 29:3779-3792. [PMID: 37439870 DOI: 10.1158/1078-0432.ccr-22-3273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/16/2023] [Accepted: 07/10/2023] [Indexed: 07/14/2023]
Abstract
PURPOSE The dynamic interplay between glioblastoma stem cells (GSC) and tumor-associated macrophages (TAM) sculpts the tumor immune microenvironment (TIME) and promotes malignant progression of glioblastoma (GBM). However, the mechanisms underlying this interaction are still incompletely understood. Here, we investigate the role of CXCL8 in the maintenance of the mesenchymal state of GSC populations and reprogramming the TIME to an immunosuppressive state. EXPERIMENTAL DESIGN We performed an integrative multi-omics analyses of RNA sequencing, GBM mRNA expression datasets, immune signatures, and epigenetic profiling to define the specific genes expressed in the mesenchymal GSC subsets. We then used patient-derived GSCs and a xenograft murine model to investigate the mechanisms of tumor-intrinsic and extrinsic factor to maintain the mesenchymal state of GSCs and induce TAM polarization. RESULTS We identified that CXCL8 was preferentially expressed and secreted by mesenchymal GSCs and activated PI3K/AKT and NF-κB signaling to maintain GSC proliferation, survival, and self-renewal through a cell-intrinsic mechanism. CXCL8 induced signaling through a CXCR2-JAK2/STAT3 axis in TAMs, which supported an M2-like TAM phenotype through a paracrine, cell-extrinsic pathway. Genetic- and small molecule-based inhibition of these dual complementary signaling cascades in GSCs and TAMs suppressed GBM tumor growth and prolonged survival of orthotopic xenograft-bearing mice. CONCLUSIONS CXCL8 plays critical roles in maintaining the mesenchymal state of GSCs and M2-like TAM polarization in GBM, highlighting an interplay between cell-autonomous and cell-extrinsic mechanisms. Targeting CXCL8 and its downstream effectors may effectively improve GBM treatment.
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Affiliation(s)
- Wei Yuan
- Department of Pathology, The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, Jiangsu, China
- Department of Central Laboratory, Yancheng Medical Research Center of Nanjing University Medical School, Yancheng, Jiangsu, China
| | - Qian Zhang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Danling Gu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chenfei Lu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Deobrat Dixit
- Department of Medicine, Division of Regenerative Medicine, University of California, San Diego, La Jolla, California
| | - Ryan C Gimple
- Department of Pathology, Case Western Reserve University, Cleveland, Ohio
| | - Yisu Gao
- Department of Neurosurgery, The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, Jiangsu, China
| | - Jiancheng Gao
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Daqi Li
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Danyang Shan
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lang Hu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lu Li
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yangqing Li
- Ministry of Education Key Laboratory of Model Animals for Disease Study, Model Animal Research Center and School of Medicine, Nanjing University, National Resource Center for Mutant Mice, Nanjing, Jiangsu, China
| | - Shusheng Ci
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hao You
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Linping Yan
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Kexin Chen
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | | | - Chuanhai Xu
- Department of Pathology, The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, Jiangsu, China
| | - Jianyun Lan
- Department of Pathology, The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, Jiangsu, China
| | - Dong Liu
- School of Life Science, Nantong Laboratory of Development and Diseases, Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu, China
| | - Junxia Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhumei Shi
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qiulian Wu
- Department of Medicine, Division of Regenerative Medicine, University of California, San Diego, La Jolla, California
- UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Kailin Yang
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio
| | - Linjie Zhao
- Department of Medicine, Division of Regenerative Medicine, University of California, San Diego, La Jolla, California
| | - Zhixin Qiu
- Institute for Translational Brain Research, Fudan University, Shanghai, China
| | - Deguan Lv
- Department of Medicine, Division of Regenerative Medicine, University of California, San Diego, La Jolla, California
| | - Wei Gao
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hui Yang
- Department of Neurosurgery, Huashan Hospital, Shanghai Key laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institute for Translational Brain Research, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fan Lin
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qianghu Wang
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jianghong Man
- State Key Laboratory of Proteomics, National Center of Biomedical analysis, Beijing, China
| | - Chaojun Li
- Ministry of Education Key Laboratory of Model Animals for Disease Study, Model Animal Research Center and School of Medicine, Nanjing University, National Resource Center for Mutant Mice, Nanjing, Jiangsu, China
| | - Weiwei Tao
- College of Biomedicine and Health & College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Sameer Agnihotri
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Xu Qian
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Nutrition and Food Hygiene, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Stephen C Mack
- Division of Brain Tumor Research, Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Nu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangdong Translational Medicine Innovation Platform, Guangzhou, Guangdong, China
| | - Yongping You
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jeremy N Rich
- Department of Medicine, Division of Regenerative Medicine, University of California, San Diego, La Jolla, California
- UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Guan Sun
- Department of Central Laboratory, Yancheng Medical Research Center of Nanjing University Medical School, Yancheng, Jiangsu, China
- Department of Neurosurgery, The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, Jiangsu, China
| | - Xiuxing Wang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Cancer Hospital, Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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Gu D, Zhou F, You H, Gao J, Kang T, Dixit D, Wu Q, Yang K, Ci S, Shan D, Fan X, Yuan W, Zhang Q, Lu C, Li D, Zhao N, Shi Z, Gao W, Lin F, Man J, Wang Q, Qian X, Mack SC, Tao W, Agnihotri S, Zhang N, You Y, Rich JN, Zhang J, Wang X. Sterol regulatory element-binding protein 2 maintains glioblastoma stem cells by keeping the balance between cholesterol biosynthesis and uptake. Neuro Oncol 2023; 25:1578-1591. [PMID: 36934350 PMCID: PMC10651206 DOI: 10.1093/neuonc/noad060] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Indexed: 03/20/2023] Open
Abstract
BACKGROUND Glioblastomas (GBMs) display striking dysregulation of metabolism to promote tumor growth. Glioblastoma stem cells (GSCs) adapt to regions of heterogeneous nutrient availability, yet display dependency on de novo cholesterol biosynthesis. The transcription factor Sterol Regulatory Element-Binding Protein 2 (SREBP2) regulates cholesterol biosynthesis enzymes and uptake receptors. Here, we investigate adaptive behavior of GSCs under different cholesterol supplies. METHODS In silico analysis of patient tumors demonstrated enrichment of cholesterol synthesis associated with decreased angiogenesis. Comparative gene expression of cholesterol biosynthesis enzymes in paired GBM specimens and GSCs were performed. In vitro and in vivo loss-of-function genetic and pharmacologic assays were conducted to evaluate the effect of SREBP2 on GBM cholesterol biosynthesis, proliferation, and self-renewal. Chromatin immunoprecipitation quantitative real-time PCR was leveraged to map the regulation of SREBP2 to cholesterol biosynthesis enzymes and uptake receptors in GSCs. RESULTS Cholesterol biosynthetic enzymes were expressed at higher levels in GBM tumor cores than in invasive margins. SREBP2 promoted cholesterol biosynthesis in GSCs, especially under starvation, as well as proliferation, self-renewal, and tumor growth. SREBP2 governed the balance between cholesterol biosynthesis and uptake in different nutrient conditions. CONCLUSIONS SREBP2 displays context-specific regulation of cholesterol biology based on its availability in the microenvironment with induction of cholesterol biosynthesis in the tumor core and uptake in the margin, informing a novel treatment strategy for GBM.
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Affiliation(s)
- Danling Gu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fengqi Zhou
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hao You
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jiancheng Gao
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Tao Kang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Deobrat Dixit
- Department of Medicine, Division of Regenerative Medicine, University of California, San Diego, La Jolla, California, United States
| | - Qiulian Wu
- University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, Pennsylvania, United States
| | - Kailin Yang
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio, United States
| | - Shusheng Ci
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Danyang Shan
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiao Fan
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wei Yuan
- Department of Pathology, The Yancheng Clinical College of Xuzhou Medical University, The First people’s Hospital of Yancheng, Yancheng, Jiangsu, China
- Department of Central Laboratory, Yancheng Medical Research Center of Nanjing University Medical School, Yancheng, Jiangsu, China
| | - Qian Zhang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chenfei Lu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Daqi Li
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | | | - Zhumei Shi
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wei Gao
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fan Lin
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jianghong Man
- State Key Laboratory of Proteomics, National Center of Biomedical analysis, Beijing, China
| | - Qianghu Wang
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xu Qian
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Nutrition and Food Hygiene, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Stephen C Mack
- Division of Brain Tumor Research, Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States
| | - Weiwei Tao
- College of Biomedicine and Health and College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Sameer Agnihotri
- Brain Tumor Biology and Therapy Lab, Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States
| | - Nu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangdong Translational Medicine Innovation Platform, Guangzhou, Guangdong, China
| | - Yongping You
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jeremy N Rich
- University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, Pennsylvania, United States
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
| | - Junxia Zhang
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiuxing Wang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Cancer Hospital, Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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Lin F, Dong X, Zhang Y, Cheng Y, Han T, Mo X, Fu H, Han W, Wang F, Tang F, Yan C, Sun Y, Xu Z, Wang Y, Zhang X, Huang X, Xu L. Time-dependent analysis of the impact on early cytomegalovirus reactivation of HLA mismatch and acute graft-versus-host disease after allogeneic hematopoietic cell transplantation from related donors in acquired aplastic anemia. Ann Hematol 2023; 102:2589-2598. [PMID: 37438489 DOI: 10.1007/s00277-023-05332-0] [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: 02/13/2023] [Accepted: 06/20/2023] [Indexed: 07/14/2023]
Abstract
Cytomegalovirus (CMV) reactivation is an important issue in allogeneic hematopoietic cell transplantation (HCT). The incidence of early CMV reactivation is notably high in HLA-mismatched HCT. However, the interactions between HLA mismatch and acute graft-versus-host disease (aGvHD), a time-dependent event, make it methodologically challenging to evaluate the independent impact on CMV reactivation of the two variables. We retrospectively analyzed 355 patients with acquired aplastic anemia who received related donor transplants using a unified antithymocyte globulin-based platform. Patients were divided into group 1 (6/6 HLA match), group 2 (1-2/6 HLA allelic mismatch), and group 3 (3/6 HLA allelic mismatch). The impact of covariates was analyzed through two models: (1) time-dependent Cox and (2) dynamic landmarking analysis. The time-dependent Cox model showed that the HLA mismatch of 3/6 alleles (hazard ratio (HR) =1.852, P = .004) and aGvHD (HR = 1.009, P = .019) were independent risk factors for CMV reactivation. With the dynamic landmarking analysis, a higher HLA disparity correlated to increased early CMV reactivation (HR = 1.606, P = .001) at all time points. Developing aGvHD following HCT was generally associated with a higher incidence of CMV reactivation (HR = 1.623, P = .013), though its impact decreased with successive later landmark time points. In conclusion, our data suggest that the higher HLA disparity and aGvHD increases susceptibility to early CMV reactivation. In particular, the dynamic landmarking analysis demonstrated the time-varying effect of aGvHD on CMV reactivation, and HLA mismatch showed a profound impact over time following HCT.
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Affiliation(s)
- Fan Lin
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Xinyu Dong
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Yuanyuan Zhang
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Yifei Cheng
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Tingting Han
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Xiaodong Mo
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Haixia Fu
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Wei Han
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Fengrong Wang
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Feifei Tang
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Chenhua Yan
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Yuqian Sun
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Zhengli Xu
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Yu Wang
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Xiaohui Zhang
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Xiaojun Huang
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
- Peking-Tsinghua Centre for Life Sciences, Beijing, China
| | - Lanping Xu
- National Clinical Research Center for Hematologic Disease, Collaborative Innovation Center of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplant, Peking University People's Hospital, Peking University Institute of Hematology, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
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Wang Z, Zhang H, Lin F, Zhang R, Ma H, Shi Y, Yang P, Zhang K, Zhao F, Mao N, Xie H. Intra- and Peritumoral Radiomics of Contrast-Enhanced Mammography Predicts Axillary Lymph Node Metastasis in Patients With Breast Cancer: A Multicenter Study. Acad Radiol 2023; 30 Suppl 2:S133-S142. [PMID: 37088646 DOI: 10.1016/j.acra.2023.02.005] [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: 11/14/2022] [Revised: 02/03/2023] [Accepted: 02/03/2023] [Indexed: 04/25/2023]
Abstract
RATIONALE AND OBJECTIVES This multicenter study aimed to explore the feasibility of radiomics based on intra- and peritumoral regions on preoperative breast cancer contrast-enhanced mammography (CEM) to predict axillary lymph node (ALN) metastasis. MATERIALS AND METHODS A total of 809 patients with preoperative breast cancer CEM images from two centers were retrospectively recruited. Least absolute shrinkage and selection operator (LASSO) regression was used to select radiomics features extracted from CEM images in regions of the tumor and peritumoral area of five and ten mm as well as construct radiomics signature. A nomogram, including the optimal radiomics signature and clinicopathological factors, was then constructed. Nomogram performance was evaluated using AUC and compared with breast radiologists directly. RESULTS In the internal testing set, AUCs of peritumoral signatures decreased when the peritumoral area increased and signaturetumor + 10mm demonstrated the best performance with an AUC of 0.712. The nomogram incorporating signaturetumor + 10mm, tumor diameter, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), and CEM-reported lymph node status yielded maximum AUCs of 0.753 and 0.732 in internal and external testing sets, respectively. Moreover, the nomogram outperformed radiologists and improved diagnostic performance of radiologists. CONCLUSION The nomogram based on CEM intra- and peritumoral regions may provide a noninvasive auxiliary tool to guide treatment strategy of ALN metastasis in breast cancer.
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Affiliation(s)
- Zhongyi Wang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding east road, Yantai, Shandong, P. R. China, 264000
| | - Haicheng Zhang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding east road, Yantai, Shandong, P. R. China, 264000
| | - Fan Lin
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding east road, Yantai, Shandong, P. R. China, 264000; Institute of medical imaging, Binzhou Medical University, Yantai, Shandong, P. R. China, 264000
| | - Ran Zhang
- Artificial Intelligence and Clinical Innovation Institute, Huiying Medical Technology Co., Ltd, P. R. China, 100192
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding east road, Yantai, Shandong, P. R. China, 264000
| | - Yinghong Shi
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding east road, Yantai, Shandong, P. R. China, 264000
| | - Ping Yang
- Department of Pathology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Kun Zhang
- Department of Breast Surgery, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Feng Zhao
- School of Compute Science and Technology, Shandong Technology and Business University, Yantai, Shandong, People's Republic of China, 264000
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding east road, Yantai, Shandong, P. R. China, 264000
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding east road, Yantai, Shandong, P. R. China, 264000.
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Hsieh YH, Medland J, Lin F, Dhillon R, Min P, Zhang Y, Ng S. Diversity of the free helical rim flap: A case series tailoring the microsurgical technique to esthetically optimize full-thickness nasal defect reconstructions. J Plast Reconstr Aesthet Surg 2023; 84:341-349. [PMID: 37390543 DOI: 10.1016/j.bjps.2023.06.022] [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: 04/03/2023] [Revised: 05/30/2023] [Accepted: 06/03/2023] [Indexed: 07/02/2023]
Abstract
INTRODUCTION The free helical rim (FHR) flap offers like-with-like reconstruction for full-thickness nasal defects. A case series of nasal reconstruction using an FHR flap was presented, detailing surgical steps and refinements, as well as functional and esthetic outcomes. METHODS AND MATERIALS This is a retrospective cohort study of composite nasal defect reconstruction with FHR flap from August 2018 to March 2020. Descriptive data were analyzed by SPSS software. RESULTS Six cases were recruited, four were unilateral alar defects, one was hemi-nose, and one was ala plus tip. The average size of the defect was 2.5 × 2.8 cm2. Three FHR flaps were designed with retrograde pedicles and three with anterograde pedicles. The facial artery and veins were the recipient vessels in all cases. Vascular grafts were used in all six cases. Descending branch of the lateral circumflex femoral (DLCxF) artery and vein functioned as interposition vascular conduits in five cases. Superficial forearm vein grafts were used in one case. One patient needed flap re-exploration due to venous congestion. One patient had partial flap necrosis due to delayed infection, and one developed delayed wound dehiscence in the irradiated wound. The average follow-up was 18 months. CONCLUSION The FHR flap has consistent vascular anatomy. It can be raised as an anterograde or retrograde flap for a contralateral or ipsilateral inset. FHR flap can be used in extensive composite nasal defects. This case series demonstrates that interposition vascular grafts are invariably needed and the possibility of using forearm vessels as grafts instead of DLCxF artery and vein.
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Affiliation(s)
- Y H Hsieh
- Department of Plastic and Reconstructive Surgery, Eastern Health, 5 Arnold St, Box Hill, Victoria 3128, Australia
| | - J Medland
- Department of Plastic and Reconstructive Surgery, Eastern Health, 5 Arnold St, Box Hill, Victoria 3128, Australia
| | - F Lin
- Department of Plastic and Reconstructive Surgery, Eastern Health, 5 Arnold St, Box Hill, Victoria 3128, Australia
| | - R Dhillon
- Department of Plastic and Reconstructive Surgery, Eastern Health, 5 Arnold St, Box Hill, Victoria 3128, Australia; Department of Plastic and Reconstructive Surgery, Austin Health, 145 Studley Road, Heidelberg, Victoria 3084, Australia
| | - P Min
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, 569 Zhizaoju Road, Shanghai 200023, China
| | - Y Zhang
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, 569 Zhizaoju Road, Shanghai 200023, China
| | - S Ng
- Department of Plastic and Reconstructive Surgery, Eastern Health, 5 Arnold St, Box Hill, Victoria 3128, Australia; Department of Plastic and Reconstructive Surgery, Austin Health, 145 Studley Road, Heidelberg, Victoria 3084, Australia.
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Chen Y, Hua Z, Lin F, Zheng T, Zhou H, Zhang S, Gao J, Wang Z, Shao H, Li W, Liu F, Wang S, Zhang Y, Zhao F, Liu H, Xie H, Ma H, Zhang H, Mao N. Detection and classification of breast lesions using multiple information on contrast-enhanced mammography by a multiprocess deep-learning system: A multicenter study. Chin J Cancer Res 2023; 35:408-423. [PMID: 37691895 PMCID: PMC10485921 DOI: 10.21147/j.issn.1000-9604.2023.04.07] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 08/18/2023] [Indexed: 09/12/2023] Open
Abstract
Objective Accurate detection and classification of breast lesions in early stage is crucial to timely formulate effective treatments for patients. We aim to develop a fully automatic system to detect and classify breast lesions using multiple contrast-enhanced mammography (CEM) images. Methods In this study, a total of 1,903 females who underwent CEM examination from three hospitals were enrolled as the training set, internal testing set, pooled external testing set and prospective testing set. Here we developed a CEM-based multiprocess detection and classification system (MDCS) to perform the task of detection and classification of breast lesions. In this system, we introduced an innovative auxiliary feature fusion (AFF) algorithm that could intelligently incorporates multiple types of information from CEM images. The average free-response receiver operating characteristic score (AFROC-Score) was presented to validate system's detection performance, and the performance of classification was evaluated by area under the receiver operating characteristic curve (AUC). Furthermore, we assessed the diagnostic value of MDCS through visual analysis of disputed cases, comparing its performance and efficiency with that of radiologists and exploring whether it could augment radiologists' performance. Results On the pooled external and prospective testing sets, MDCS always maintained a high standalone performance, with AFROC-Scores of 0.953 and 0.963 for detection task, and AUCs for classification were 0.909 [95% confidence interval (95% CI): 0.822-0.996] and 0.912 (95% CI: 0.840-0.985), respectively. It also achieved higher sensitivity than all senior radiologists and higher specificity than all junior radiologists on pooled external and prospective testing sets. Moreover, MDCS performed superior diagnostic efficiency with an average reading time of 5 seconds, compared to the radiologists' average reading time of 3.2 min. The average performance of all radiologists was also improved to varying degrees with MDCS assistance. Conclusions MDCS demonstrated excellent performance in the detection and classification of breast lesions, and greatly enhanced the overall performance of radiologists.
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Affiliation(s)
- Yuqian Chen
- School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China
| | - Zhen Hua
- School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China
| | - Fan Lin
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Tiantian Zheng
- School of Medical Imaging, Binzhou Medical University, Yantai 264003, China
| | - Heng Zhou
- School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China
| | - Shijie Zhang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Jing Gao
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Zhongyi Wang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Huafei Shao
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Wenjuan Li
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Fengjie Liu
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Simin Wang
- Department of Radiology, Fudan University Cancer Center, Shanghai 200433; China
| | - Yan Zhang
- Department of Radiology, Guangdong Maternal and Child Health Hospital, Guangzhou 510010, China
| | - Feng Zhao
- School of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, China
| | - Hao Liu
- Yizhun Medical AI Co. Ltd., Beijing 100080, China
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Haicheng Zhang
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China
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Li X, Xin N, Guo T, Wu Z, Zheng Y, Lin L, Li Q, Lin F. Follicle-stimulating hormone is negatively associated with nonalcoholic fatty liver disease in a Chinese elderly population: a retrospective observational study. BMC Endocr Disord 2023; 23:165. [PMID: 37550673 PMCID: PMC10405433 DOI: 10.1186/s12902-023-01427-x] [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: 12/20/2022] [Accepted: 08/01/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Several studies have explored the connection between follicle-stimulating hormone (FSH) and nonalcoholic fatty liver disease (NAFLD). However, the impact of FSH elevation on NAFLD remains a topic of debate. Hence, this investigation aimed to evaluate the potential correlation between FSH levels and NAFLD in the aging population. METHODS This was a retrospective observational cross-sectional study between July 2017 and August 2018 in our hospital. We used data obtained from 455 patients over 60 years old. Anthropometrics and laboratory tests were performed for each patient. NAFLD was diagnosed by sonographic features and the fatty liver index (LFI). RESULTS Of the 455 patients, 200 (43.96%) had NAFLD on their ultrasound and 169 (37.14%) had NAFLD according to the LFI. An intraclass correlation coefficient of the two methods was 80.4% (P < 0.001). People with NAFLD on their ultrasound showed lower FSH levels (52.68 vs. 61.39 IU/L) and more unfavorable metabolic profiles. FSH was negatively correlated with age, alanine aminotransferase, estradiol, testosterone, systolic blood pressure, waist, body mass index, fasting blood glucose, postload plasma glucose and positive associated with total cholesterol, high-density lipoprotein-cholesterol and low-density lipoprotein-cholesterol by Spearman correlation analysis (all P < 0.05). By controlling for all confounding factors, the odds ratios (OR) of FSH for NAFLD were determined in elderly individuals, both men and women, aged 60-70 years and over 70 years. These ORs were found to be 0.937, 0.982, 0.983, and 0.973, respectively, with corresponding 95% confidence intervals (CI) of 0.892-0.984 (P = 0.009), 0.971-0.993 (P = 0.002), 0.967-0.999 (P = 0.033), and 0.958-0.989 (P = 0.001). In addition, our findings demonstrated no significant correlation between FSH and advanced fibrosis when adjusting for potential covariates. The OR for advanced fibrosis was 0.979 (95% CI, 0.938-1.022, P = 0.339). Additionally, ROC curve analysis showed an optimal cut-off value of 66.91 for women and 15.25 for men for NAFLD diagnosis. CONCLUSIONS There was an inverse relationship observed between levels of FSH in the blood serum and NAFLD in the elderly population. These findings suggest that reduced FSH levels might serve as a potential risk factor or biomarker for NAFLD in the elderly.
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Affiliation(s)
- Xiaoming Li
- Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China
| | - Ning Xin
- Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China
| | - Tailin Guo
- Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China
| | - Ziyu Wu
- Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China
| | - Ying Zheng
- Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China
| | - Lan Lin
- Key Laboratory of Medical Big Data Project of Fujian Province, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Qianwen Li
- Key Laboratory of Medical Big Data Project of Fujian Province, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Fan Lin
- Department of Geriatric Medicine, Fujian Provincial Key Laboratory of Geriatric Diseases, Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, 350001, China.
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Zhang X, Ning L, Wu H, Yang S, Hu Z, Wang W, Cao Y, Xin H, You C, Lin F. Targeting CDK4/6 in glioblastoma via in situ injection of a cellulose-based hydrogel. Nanoscale 2023; 15:12518-12529. [PMID: 37278298 DOI: 10.1039/d3nr00378g] [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: 06/07/2023]
Abstract
Despite aggressive treatments, including surgery, chemotherapy and radiotherapy, the prognosis of glioblastoma (GBM) remains poor, and tumor recurrence is inevitable. The FDA-approved CDK4/6 inhibitor palbociclib (PB) showed interesting anti-GBM effects, but its brain penetration is limited by the blood-brain barrier. The aim of this project is to find whether the cellulose-based hydrogel via in situ injection could provide an alternative route to PB brain delivery and generate sufficient drug exposure in orthotopic GBM. In brief, PB was encapsulated in a cellulose nanocrystal network structure crosslinked by polydopamine via divalent Cu2+ and hexadecylamine. The formed hydrogel (PB@PH/Cu-CNCs) exhibited sustained drug retention and acid-responsive network de-polymerization for controlled release in vivo. Specifically, the released Cu2+ catalyzed a Fenton-like reaction to generate reactive oxygen species (ROS), which was further enhanced by PB, and consequently, irreversible senescence and apoptosis were induced in GBM cells. Finally, PB@PH/Cu-CNCs demonstrated a more potent anti-GBM effect than those treated with free PB or PH/Cu-CNCs (drug-free hydrogel) in cultured cells or in an orthotopic glioma model. These results prove that the injection of the PB-loaded hydrogel in situ is an effective strategy to deliver the CDK4/6 inhibitor into the brain and its anti-GBM effect can be further enhanced by combining Cu2+-mediated Fenton-like reaction.
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Affiliation(s)
- Xia Zhang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
- Department of Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Like Ning
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Hongshuai Wu
- Department of Central Laboratory, The Affiliated Jiangyin Hospital of Nantong University, Jiangyin, Jiangsu, China
| | - Suisui Yang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Ziyi Hu
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Wenhong Wang
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang, China
| | - Yuandong Cao
- Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongliang Xin
- Department of Pharmaceutics, School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Chaoqun You
- Jiangsu Key Lab for the Chemistry and Utilization of Agro-Forest Biomass, College of Chemical Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China.
| | - Fan Lin
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
- Institute for Brain Tumors & Key Laboratory of Rare Metabolic Diseases, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Gastroenterology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan, China
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