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Hu E, Yang T, Cai L, Ouyang J, Wang F, Li Z, Wang Y, Xing X, Liu X. Proteomic Analysis Identifies GSN as a Noninvasive Circulating Serum Biomarker for Predicting Early Recurrence of Hepatocellular Carcinoma. J Proteome Res 2024; 23:1062-1074. [PMID: 38373391 DOI: 10.1021/acs.jproteome.3c00813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Hepatocellular carcinoma (HCC) is susceptible to early recurrence, but it lacks effective predictive biomarkers. In this study, we retrospectively selected 179 individuals as a discovery cohort (126 HCC patients and 53 liver cirrhosis (LC) patients) for screening candidate serum biomarkers of early recurrence based on data independent acquisition-mass spectrometry strategy. And then, the candidate biomarkers were validated in an additional independent cohort with 192 individuals (142 HCC patients and 50 LC patients) using parallel reaction monitoring targeted quantitative techniques (PXD047852). Eventually, we validated that gelsolin (GSN) concentrations were significantly lower in HCC than in LC (p < 0.0001), patients with low GSN concentrations had a poor prognosis (p < 0.0001), and GSN concentrations were significantly lower in early recurrence HCC than in late recurrence HCC (p < 0.0001). These trends were also observed in alpha-fetoprotein (AFP)-negative HCC patients. The area under the curve of machine-learning-based predictive model (GSN and microvascular invasion) for predicting early recurrence risk reached 0.803 (95% confidence interval (CI): 0.786-0.820) and maintained the same efficacy in AFP-negative patients. In conclusion, GSN is a novel serum biomarker for early recurrence of HCC. The model could provide timely warning to HCC patients at high risk of recurrence.
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Affiliation(s)
- En Hu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Tao Yang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Linsheng Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Jiahe Ouyang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Fei Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Zongman Li
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaohua Xing
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
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Xing X, Cai L, Ouyang J, Wang F, Li Z, Liu M, Wang Y, Zhou Y, Hu E, Huang C, Wu L, Liu J, Liu X. Proteomics-driven noninvasive screening of circulating serum protein panels for the early diagnosis of hepatocellular carcinoma. Nat Commun 2023; 14:8392. [PMID: 38110372 PMCID: PMC10728065 DOI: 10.1038/s41467-023-44255-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 12/05/2023] [Indexed: 12/20/2023] Open
Abstract
Early diagnosis of hepatocellular carcinoma (HCC) lacks highly sensitive and specific protein biomarkers. Here, we describe a staged mass spectrometry (MS)-based discovery-verification-validation proteomics workflow to explore serum proteomic biomarkers for HCC early diagnosis in 1002 individuals. Machine learning model determined as P4 panel (HABP2, CD163, AFP and PIVKA-II) clearly distinguish HCC from liver cirrhosis (LC, AUC 0.979, sensitivity 0.925, specificity 0.915) and healthy individuals (HC, AUC 0.992, sensitivity 0.975, specificity 1.000) in an independent validation cohort, outperforming existing clinical prediction strategies. Furthermore, the P4 panel can accurately predict LC to HCC conversion (AUC 0.890, sensitivity 0.909, specificity 0.877) with predicting HCC at a median of 11.4 months prior to imaging in prospective external validation cohorts (No.: Keshen 2018_005_02 and NCT03588442). These results suggest that proteomics-driven serum biomarker discovery provides a valuable reference for the liquid biopsy, and has great potential to improve early diagnosis of HCC.
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Affiliation(s)
- Xiaohua Xing
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Linsheng Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
- Department of Hepatopancreatobiliary Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuzhou, 350000, China
| | - Jiahe Ouyang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Fei Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Zongman Li
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Mingxin Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Yang Zhou
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - En Hu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Changli Huang
- Department of Hepatopancreatobiliary Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuzhou, 350000, China
| | - Liming Wu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
| | - Jingfeng Liu
- Department of Hepatopancreatobiliary Surgery, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuzhou, 350000, China.
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
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Liu H, Lyu H, Jiang X, Wang L, Li H, Wei X, Li L, Zhu J, Fan Y, Wang K. Superoxide dismutase 2 as a predictor in patients with hepatitis B virus-associated acute-on-chronic liver failure. Clin Exp Med 2023; 23:2181-2192. [PMID: 36598672 DOI: 10.1007/s10238-022-00979-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 12/11/2022] [Indexed: 01/05/2023]
Abstract
The prognosis of hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) is critical in clinical management. We aimed to assess the prognostic efficacy of superoxide dismutase 2 (SOD2) for 90-day mortality in HBV-ACLF patients. The expression patterns of SOD2 in peripheral blood mononuclear cells (PBMCs) were examined in a derivation set (n = 82) by quantitative real-time polymerase chain reaction (RT-qPCR). The results were further validated in a validation set (n = 35). The expression levels of SOD2 were significantly decreased in the derivation set compared to those with chronic hepatitis B (CHB) or the healthy controls (HCs) (P < 0.001). In HBV-ACLF patients, SOD2 levels were negatively correlated with serum total bilirubin (TBIL) (rs = - 0.43, P < 0.001) and model for end-stage liver disease (MELD) scores (rs = - 0.22, P = 0.047), but positively correlated with alkaline phosphatase (AKP) (rs = 0.23, P = 0.034). SOD2 was identified as an independent risk factor for 90-day mortality in HBV-ACLF patients (hazard ratio: 0.124, 95% confidence interval: 0.059-0.261, P < 0.001). SOD2 yielded a larger area under the receiver operating characteristic curve (AUROC) than the MELD score in predicting 90-day mortality (0.914 vs. 0.712, P < 0.001). Kaplan-Meier analysis revealed a favorable overall survival (OS) for the SOD2 high expression group compared with the SOD2 low expression group in both the derivation and validation sets (P < 0.001). SOD2 has promising potential as a predictor of 90-day mortality in patients with HBV-ACLF.
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Affiliation(s)
- Huihui Liu
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Hui Lyu
- Department of Severe Liver Disease, Shandong Public Health Clinical Center of Shandong University, Jinan, 250000, Shandong, China
| | - Xuemei Jiang
- Department of Hepatology, Shandong Public Health Clinical Center of Shandong University, Jinan, 250000, Shandong, China
| | - Li Wang
- Central Laboratory, Qishan Hospital of Yantai, Yantai, 264000, Shandong, China
| | - Haiming Li
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Xuefei Wei
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Linlin Li
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Jinyu Zhu
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
| | - Yuchen Fan
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China
- Shenzhen Research Institute of Shandong University, Shenzhen, 518000, China
- Institute of Hepatology, Shandong University, Jinan, 250000, Shandong, China
| | - Kai Wang
- Department of Hepatology, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, Shandong, China.
- Shenzhen Research Institute of Shandong University, Shenzhen, 518000, China.
- Institute of Hepatology, Shandong University, Jinan, 250000, Shandong, China.
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Wei L, Wang T, Chen S, Liu Y, Huang X, Zheng S, Xu B, Ren F, Liu M. Serum Anti-Fumarate Hydratase Autoantibody as a Biomarker for Predicting Prognosis of Acute-on-Chronic Liver Failure. Gut Liver 2023; 17:795-805. [PMID: 36317513 PMCID: PMC10502492 DOI: 10.5009/gnl220022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/04/2022] [Accepted: 07/18/2022] [Indexed: 06/16/2023] Open
Abstract
Background/Aims To investigate the autoantibody against fumarate hydratase (FH), which is a specific liver failure-associated antigen (LFAA) and determine whether it can be used as a biomarker to evaluate the prognosis of acute-on-chronic liver failure (ACLF). Methods An immunoproteomic approach was applied to screen specific LFAAs related to differential prognosis of ACLF (n=60). Enzyme-linked immunosorbent assay (ELISA) technology was employed for the validation of the frequency and titer of autoantibodies against FH in ACLF patients with different prognoses (n=82). Moreover, we clarified the expression of autoantibodies against FH in patients with chronic hepatitis B (n=60) and hepatitis B virus-related liver cirrhosis (n=60). The dynamic changes in the titers of autoantibodies against FH were analyzed by sample collection at multiple time points during the clinical course of eight ACLF patients with different prognoses. Results Ultimately, 15 LFAAs were screened and identified by the immunoproteomic approach. Based on ELISA-based verification, anti-FH/Fumarate hydratase protein autoantibody was chosen to verify its expression in ACLF patients. ACLF patients had a much higher anti-FH autoantibody frequency (76.8%) than patients with liver cirrhosis (10%, p=0.000), patients with chronic hepatitis B (6.7%, p=0.022), and normal humans (0%, p=0.000). More importantly, the frequency and titer of anti-FH protein autoantibodies in the serum of ACLF patients with a good prognosis were much higher than that of patients with a poor prognosis (83.9% vs 61.5%, p=0.019; 1.41±0.85 vs 0.94±0.56, p=0.017, respectively). The titer of anti-FH autoantibodies showed dynamic changes in the clinical course of ACLF. Conclusions The anti-FH autoantibody in serum may be a potential biomarker for predicting the prognosis of ACLF.
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Affiliation(s)
- Linlin Wei
- The Second Department of Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Ting Wang
- Departments of Respiration and Infection, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Sisi Chen
- Departments of Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yeying Liu
- Departments of Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xueying Huang
- Departments of Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Sujun Zheng
- The First Department of Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Bin Xu
- The Second Department of Liver Disease Center, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Feng Ren
- Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Mei Liu
- Departments of Oncology, Beijing Youan Hospital, Capital Medical University, Beijing, China
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Qin G, Wang B, Zhang G, Wu L, Zhu P, Zhang Q. Bikunin: A Promising Prognostic Biomarker for Acute-on-Chronic Liver Failure in Patients with Viral Hepatitis B. Infect Drug Resist 2023; 16:5765-5775. [PMID: 37670978 PMCID: PMC10476654 DOI: 10.2147/idr.s417472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/01/2023] [Indexed: 09/07/2023] Open
Abstract
Purpose To screen out potential prognostic biomarkers for HBV-related acute-on-chronic liver failure (HBV-ACLF). Patients and Methods Peripheral blood samples of HBV-ACLF patients (n=56) and normal controls (n=15) from the Affiliated Hospital of Southwest Medical University from January 2021 to April 2022 were collected, 5 normal patients and 10 patients with ACLF were randomly selected for Data independent acquisition (DIA) mass spectrometry analysis, and the potential core proteins were screened out via bioinformatics. All samples were validated by Enzyme linked immunosorbent assays (ELISA) technology, and the survival curve was constructed based on the patient's 90-day survival time. Results A total of 247 differentially expressed proteins (DEPs) were screened, of which 148 were upregulated and 99 were down-regulated. The DEPs were mainly enriched in high-density lipoprotein particle remodeling, coagulation, and hemostasis and participated in signaling pathways such as cholesterol metabolism, coagulation cascades, and PPAR signaling pathway. Finally, bikunin was selected for further study and validated via the ELISA, compared with the normal group, bikunin was poorly expressed in the HBV-ACLF group, the difference was statistically significant (P < 0.0001), the area under the curve (AUC) for Receiver operating characteristic (ROC) analysis was 0.917. Furthermore, compared with the non-survival group, bikunin was highly expressed in the HBV-ACLF survival group, the difference was statistically significant (P=0.0015), and the survival curve showed a positive correlation with patient survival (P=0.0063). Conclusion The level of plasma bikunin in HBV-ACLF is down-regulated, which is positively correlated with the survival of the patients with HBV-ACLF, and is expected to become a new prognostic biomarker.
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Affiliation(s)
- Gang Qin
- Department of Gastroenterology, Suining First People's Hospital, Suining, People’s Republic of China
| | - Bo Wang
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
| | - Geng Zhang
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
| | - Lili Wu
- Department of Gastroenterology, Suining First People's Hospital, Suining, People’s Republic of China
| | - Peng Zhu
- Department of Gastroenterology, Suining First People's Hospital, Suining, People’s Republic of China
| | - Qian Zhang
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
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Wang B, Zhang Q, Wu L, Deng C, Luo M, Xie Y, Wu G, Chen W, Sheng Y, Zhu P, Qin G. Data-independent acquisition-based mass spectrometry(DIA-MS) for quantitative analysis of patients with chronic hepatitis B. Proteome Sci 2023; 21:9. [PMID: 37280603 DOI: 10.1186/s12953-023-00209-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 05/29/2023] [Indexed: 06/08/2023] Open
Abstract
Chronic hepatitis B is a significant public health problem and complex pathologic process, and unraveling the underlying mechanisms and pathophysiology is of great significance. Data independent acquisition mass spectrometry (DIA-MS) is a label-free quantitative proteomics method that has been successfully applied to the study of a wide range of diseases. The aim of this study was to apply DIA-MS for proteomic analysis of patients with chronic hepatitis B. We performed comprehensive proteomics analysis of protein expression in serum samples from HBV patients and healthy controls by using DIA-MS. Gene Ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and protein network analysis were performed on differentially expressed proteins and were further combined with literature analysis. We successfully identified a total of 3786 serum proteins with a high quantitative performance from serum samples in this study. We identified 310 differentially expressed proteins (DEPs) (fold change > 1.5 and P value < 0.05 as the criteria for a significant difference) between HBV and healthy samples. A total of 242 upregulated proteins and 68 downregulated proteins were among the DEPs. Some protein expression levels were significantly elevated or decreased in patients with chronic hepatitis B, indicating a relation to chronic liver disease, which should be further investigated.
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Affiliation(s)
- Bo Wang
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Qian Zhang
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Lili Wu
- Department of Gastroenterology, Suining First Pepole's Hospital, Suining, 629000, Sichuan, China
| | - Cunliang Deng
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Meiyan Luo
- College of Graduate, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Yu Xie
- College of Graduate, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Gang Wu
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Wen Chen
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Yunjian Sheng
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Peng Zhu
- Department of Gastroenterology, Suining First Pepole's Hospital, Suining, 629000, Sichuan, China
| | - Gang Qin
- Department of Gastroenterology, Suining First Pepole's Hospital, Suining, 629000, Sichuan, China.
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Zhuang QQ, Yang JL, Qiu HN, Huang KY, Yang Y, Peng HP, Deng HH, Jiang HQ, Chen W. Promoting the healing of methicillin-resistant Staphylococcus aureus-infected wound by a multi-target antimicrobial AIEgen of 6-Aza-2-thiothymine-decorated gold nanoclusters. Colloids Surf B Biointerfaces 2023; 226:113336. [PMID: 37167770 DOI: 10.1016/j.colsurfb.2023.113336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 04/24/2023] [Accepted: 05/04/2023] [Indexed: 05/13/2023]
Abstract
The use of conventional antibiotic therapies is in question owing to the emergence of drug-resistant pathogenic bacteria. Therefore, novel, highly efficient antibacterial agents to effectively overcome resistant bacteria are urgently needed. Accordingly, in this work, we described a novel class luminogen of 6-Aza-2-thiothymine-decorated gold nanoclusters (ATT-AuNCs) with aggregation-induced emission property that possessed potent antimicrobial activity against methicillin-resistant Staphylococcus aureus (MRSA). Scanning electron microscopy was performed to investigate the interactions between ATT-AuNCs and MRSA. In addition, ATT-AuNCs exhibited excellent ROS generation efficiency and could effectively ablate MRSA via their internalization to the cells. Finally, tandem mass tag-labeling proteome analysis was carried out to investigate the differential expression proteins in MRSA strains. The results suggested that ATT-AuNCs killed MRSA cells through altering the expression of multiple target proteins involved in DNA replication, aminoacyl-tRNA synthesis, peptidoglycan and arginine biosynthesis metabolism. Parallel reaction monitoring technique was further used for the validation of these proteome results. ATT-AuNCs could also be served as a wound-healing agent and accelerate the healing process. Overall, we proposed ATT-AuNCs could serve as a robust antimicrobial aggregation-induced emission luminogen (AIEgen) that shows the ability to alter the activities of multiple targets for the elimination of drug-resistant bacteria.
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Affiliation(s)
- Quan-Quan Zhuang
- Department of Pharmacy, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou 362000, China; Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China
| | - Jia-Lin Yang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China
| | - Hui-Na Qiu
- Department of Laboratory Medicine, Quanzhou Infectious Disease Hospital, Quanzhou 362000, China
| | - Kai-Yuan Huang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China
| | - Yu Yang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China
| | - Hua-Ping Peng
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China
| | - Hao-Hua Deng
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China.
| | - Hui-Qiong Jiang
- Department of Cardiac Function Examination Room, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou 362000, China.
| | - Wei Chen
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China.
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8
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Hu A, Zhang J, Shen H. Progress in Targeted Mass Spectrometry (Parallel Accumulation-Serial Fragmentation) and Its Application in Plasma/Serum Proteomics. Methods Mol Biol 2023; 2628:339-352. [PMID: 36781796 DOI: 10.1007/978-1-0716-2978-9_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Targeted mass spectrometry using multiple reaction monitoring (MRM) or parallel reaction monitoring (PRM) has been commonly used for protein biomarker validation in plasma, serum, or other clinically relevant specimens due to its high specificity, selectivity, and multiplexing capability compared with immunoassays. As the emerging mode termed parallel accumulation-serial fragmentation (prmPASEF) significantly improved analyte throughput (100-1000), sensitivity (attomole level), and acquisition speed, it promises to broaden the application of targeted mass spectrometry to simultaneous biomarker discovery and validation with high accuracy. Here, we summarize the general approach of the MRM and PRM techniques used for serum/plasma proteomics and describe a detailed step-by-step procedure for the development of MRM/PRM assays for secreted proteins.
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Affiliation(s)
- Anqi Hu
- Institutes of Biomedical Sciences and Minhang Hospital, Fudan University, Shanghai, China
| | - Jiayi Zhang
- Institutes of Biomedical Sciences and Minhang Hospital, Fudan University, Shanghai, China
| | - Huali Shen
- Institutes of Biomedical Sciences and Minhang Hospital, Fudan University, Shanghai, China.
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9
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Zhang J, Hu A, Chen X, Shen F, Zhang L, Lin Y, Shen H. Pan‐targeted quantification of deep and comprehensive cancer serum proteome improves cancer detection. VIEW 2023. [DOI: 10.1002/viw.20220039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Affiliation(s)
- Jiayi Zhang
- Minhang Hospital and Institutes of Biomedical Sciences Fudan University Shanghai China
| | - Anqi Hu
- Minhang Hospital and Institutes of Biomedical Sciences Fudan University Shanghai China
| | - Xuguang Chen
- Informatization Office Fudan University Shanghai China
| | - Fenglin Shen
- Minhang Hospital and Institutes of Biomedical Sciences Fudan University Shanghai China
| | - Lei Zhang
- Minhang Hospital and Institutes of Biomedical Sciences Fudan University Shanghai China
| | - Yuxiang Lin
- Department of Breast Surgery Fujian Medical University Union Hospital Fuzhou China
- Department of General Surgery Fujian Medical University Union Hospital Fuzhou China
- Breast Cancer Institute Fujian Medical University Fuzhou China
| | - Huali Shen
- Minhang Hospital and Institutes of Biomedical Sciences Fudan University Shanghai China
- NHC Key Laboratory of Glycoconjugates Research Fudan University Shanghai China
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10
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Lu W, Tang H, Li S, Bai L, Chen Y. Extracellular vesicles as potential biomarkers and treatment options for liver failure: A systematic review up to March 2022. Front Immunol 2023; 14:1116518. [PMID: 36911706 PMCID: PMC9992400 DOI: 10.3389/fimmu.2023.1116518] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/09/2023] [Indexed: 02/25/2023] Open
Abstract
Introduction Extracellular vesicles (EVs) carrying functional cargoes are emerging as biomarkers and treatment strategies in multiple liver diseases. Nevertheless, the potential of EVs in liver failure remains indistinct. In this systematic review, we comprehensively analyzed the potential of EVs as biomarkers of liver failure and the therapeutic effects and possible mechanisms of EVs for liver failure. Methods We conducted a systematic review by comprehensively searching the following electronic databases: PubMed, Web of Science, Embase and Cochrane Central Register of Controlled Trials from inception to March 2022. The used text words (synonyms and word variations) and database-specific subject headings included "Extracellular Vesicles", "Exosomes", "Liver Failure", "Liver Injury", etc. Results A total of 1479 studies were identified. After removing 680 duplicate studies and 742 irrelevant studies, 57 studies were finally retained and analyzed. Fourteen studies revealed EVs with functional cargoes could be used to make the diagnosis of liver failure and provide clues for early warning and prognostic assessment of patients with liver failure. Forty-three studies confirmed the administration of EVs from different sources alleviated hepatic damage and improved survival through inhibiting inflammatory response, oxidative stress as well as apoptosis or promoting hepatocyte regeneration and autophagy. Conclusions EVs and their cargoes can be used not only as superior biomarkers of early warning, early diagnosis and prognostic assessments for liver failure, but also as potentially effective treatment options for liver failure. In the future, large-scale studies are urgently needed to verify the diagnostic, predictive and therapeutic value of EVs for liver failure.
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Affiliation(s)
- Wang Lu
- Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, China
| | - Huixin Tang
- Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, China
| | - Shanshan Li
- Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, China
| | - Li Bai
- Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, China
| | - Yu Chen
- Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, China
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11
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Wu D, Rao Q, Xie Z, Zhu X, Che Y, Wu J, Gao H, Zhang J, Hou Z, Cheng X, Sun Z. Decreased vitamin D-binding protein level portends poor outcome in acute-on-chronic liver failure caused by hepatitis B virus. Clin Mol Hepatol 2022; 28:912-925. [PMID: 35896280 PMCID: PMC9597222 DOI: 10.3350/cmh.2022.0121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/23/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND/AIMS Acute-on-chronic liver failure (ACLF) is a catastrophic illness. Few studies investigated the prognostic value of vitamin D-binding protein (VDBP) for hepatitis B virus (HBV)-related ACLF (HBV-ACLF) resulted in conflicting results. METHODS Two prospective HBV-ACLF cohorts (n=287 and n=119) were enrolled to assess and validate the prognostic performance of VDBP. RESULTS VDBP levels in the non-survivors were significantly lower than in the survivors (P<0.001). Multivariate Cox regression demonstrated that VDBP was an independent prognostic factor for HBV-ACLF. The VDBP level at admission gradually decreased as the number of failed organs increased (P<0.001), and it was closely related to coagulation failure. The areas under the receiver operating characteristic curve (AUCs) of the Child-Pugh-VDBP and chronic liver failuresequential organ failure assessment (CLIF-SOFA)-VDBP scores were significantly higher than those of Child-Pugh (P<0.001) and CLIF-SOFA (P=0.0013). The AUCs of model for end-stage liver disease (MELD)-VDBP were significantly higher than those of MELD (P= 0.0384) only in the case of cirrhotic HBV-ACLF patients. Similar results were validated using an external multicenter HBV-ACLF cohort. By longitudinal observation, the VDBP levels gradually increased in survivors (P=0.026) and gradually decreased in non-survivors (P<0.001). Additionally, the VDBP levels were found to be significantly decreased in the deterioration group (P=0.012) and tended to be decreased in the fluctuation group (P=0.055). In contrast, they showed a significant increase in the improvement group (P=0.036). CONCLUSION The VDBP was a promising prognostic biomarker for HBV-ACLF. Sequential measurement of circulating VDBP shows value for the monitoring of ACLF progression.
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Affiliation(s)
- Daxian Wu
- Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, Nanchang, China
| | - Qunfang Rao
- Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, Nanchang, China
| | - Zhongyang Xie
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaoqing Zhu
- Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, Nanchang, China
| | - Yuanmei Che
- Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, Nanchang, China
| | - Jian Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hainv Gao
- Department of Infectious Diseases, Shulan Hospital of Hangzhou, Hangzhou, China
| | - Jingyu Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zhouhua Hou
- Department of Infectious Diseases, Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoyu Cheng
- Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, Nanchang, China,Xiaoyu Cheng Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, No.17 Yongwai Street, Donghu District, Nanchang 330006, China Tel: +86-13767039717, Fax: +86-791-88692562, E-mail:
| | - Zeyu Sun
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China,Corresponding author : Zeyu Sun Jinan Microecological Biomedicine Shandong Laboratory, Huaiyin District, 3716# Qingdao Rd., Jinan 250117, China Tel: +86-13735526619, Fax: +86-0531-81789601, E-mail:
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12
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Dong FC, Tan WT, Wang XB, Zheng X, Huang Y, Li BL, Meng ZJ, Gao YH, Qian ZP, Liu F, Lu XB, Shang J, Shi Y, Zheng YB, Yan HD, Zhang Y, Xu BY, Hou YX, Zhang Q, Xiong Y, Zou CC, Chen J, Huang ZB, Jiang XH, Luo S, Chen YY, Gao N, Liu CY, Yuan W, Mei X, Li J, Li T, Zheng RJ, Zhou XY, Chen JJ, Deng GH, Mei XX, Zhang WT, Li H. The neutrophil-to-lymphocyte ratio represents a systemic inflammation marker and reflects the relationship with 90-day mortality in non-cirrhotic chronic severe hepatitis. J Dig Dis 2022; 23:587-596. [PMID: 36326787 DOI: 10.1111/1751-2980.13143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/16/2022] [Accepted: 11/02/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVES To investigate the relationship between systemic inflammatory response and short-term mortality in patients with non-cirrhotic chronic severe hepatitis (CSH) by using several indicators of inflammation including neutrophil-to-lymphocyte ratio (NLR), neutrophil (NEU), white blood cell (WBC), platelet-to lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR). METHODS Data were collected from two prospectively enrolled CATCH-LIFE noncirrhotic cohorts. Cox regression analysis was used to investigate the association between systemic inflammatory biomarkers and 90-day liver transplant (LT)-free mortality. A generalized additive model (GAM) was used to illustrate the quantitative curve relationship between NLR and 90-day LT-free mortality. Kaplan-Meier method was used to estimate the 90-year LT-free survival. RESULTS The prevalence of CSH was 20.5% (226/1103). The 28-day and 90-day LT-free mortality rates were 17.7% and 26.1%, respectively, for patients with non-cirrhotic CSH. Patients with no infection accounted for 75.0% of all CSH patients, and NLR was independently associated with 90-day LT-free mortality. NLR of 2.9 might be related to disease deterioration in CSH patients without infection. CONCLUSIONS NLR may be an independent risk factor for 90-day LT-free mortality in patients with non-cirrhotic chronic liver disease. A NLR of 2.9 as the cut-off value can be used to predict disease aggravation in CSH patients without infection.
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Affiliation(s)
- Fu Chen Dong
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Ting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xian Bo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Bei Ling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Zhong Ji Meng
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - Yan Hang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin Province, China
| | - Zhi Ping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong Province, China
| | - Xiao Bo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, Henan Province, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Yu Bao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Hua Dong Yan
- Department of Infectious Diseases, Hwamei Hospital, Ningbo No. 2 Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang Province, China
| | - Yan Zhang
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bao Yan Xu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Xin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Cong Cong Zou
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Ze Bing Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Xiu Hua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Sen Luo
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - Yuan Yuan Chen
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin Province, China
| | - Chun Yan Liu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin Province, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong Province, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong Province, China
| | - Rong Jiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Xin Yi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Jin Jun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Guo Hong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiang Xiao Mei
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wei Tuo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Li
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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13
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Xiang Z, Li J, Lu D, Wei X, Xu X. Advances in multi-omics research on viral hepatitis. Front Microbiol 2022; 13:987324. [PMID: 36118247 PMCID: PMC9478034 DOI: 10.3389/fmicb.2022.987324] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
Viral hepatitis is a major global public health problem that affects hundreds of millions of people and is associated with significant morbidity and mortality. Five biologically unrelated hepatotropic viruses account for the majority of the global burden of viral hepatitis, including hepatitis A virus (HAV), hepatitis B virus (HBV), hepatitis C virus (HCV), hepatitis D virus (HDV), and hepatitis E virus (HEV). Omics is defined as the comprehensive study of the functions, relationships and roles of various types of molecules in biological cells. The multi-omics analysis has been proposed and considered key to advancing clinical precision medicine, mainly including genomics, transcriptomics and proteomics, metabolomics. Overall, the applications of multi-omics can show the origin of hepatitis viruses, explore the diagnostic and prognostics biomarkers and screen out the therapeutic targets for viral hepatitis and related diseases. To better understand the pathogenesis of viral hepatitis and related diseases, comprehensive multi-omics analysis has been widely carried out. This review mainly summarizes the applications of multi-omics in different types of viral hepatitis and related diseases, aiming to provide new insight into these diseases.
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Affiliation(s)
- Ze Xiang
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiayuan Li
- Zhejiang University School of Medicine, Hangzhou, China
| | - Di Lu
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- NHC Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
- Institute of Organ Transplantation, Zhejiang University, Hangzhou, China
| | - Xuyong Wei
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- NHC Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
- Institute of Organ Transplantation, Zhejiang University, Hangzhou, China
- Xuyong Wei,
| | - Xiao Xu
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- NHC Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
- Institute of Organ Transplantation, Zhejiang University, Hangzhou, China
- *Correspondence: Xiao Xu,
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14
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Zhao D, Zhang X, Tang Y, Guo P, Ai R, Hou M, Wang Y, Yuan X, Cui L, Zhang Y, Zhao S, Li W, Wang Y, Sun X, Liu L, Dong S, Li L, Zhao W, Nan Y. Identification and Validation of Novel Biomarkers for Hepatocellular Carcinoma, Liver Fibrosis/Cirrhosis and Chronic Hepatitis B via Transcriptome Sequencing Technology. J Hepatocell Carcinoma 2022; 9:389-403. [PMID: 35592243 PMCID: PMC9112460 DOI: 10.2147/jhc.s357380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/27/2022] [Indexed: 11/27/2022] Open
Abstract
Purpose The aim of this study was to identify and validate novel biomarkers for distinguishing among hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), liver fibrosis/liver cirrhosis (LF/LC) and chronic hepatitis B (CHB). Patients and Methods Transcriptomic sequencing was conducted on the liver tissues of 5 patients with HCC, 5 patients with LF/LC, 5 patients with CHB, and 4 healthy controls. The expression levels of selected mRNAs and proteins were assessed by quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemical (IHC) staining, and were verified in validation set (n=200) and testing set (n=400) via enzyme-linked immunosorbent assay (ELISA). Results A total of 9 hub mRNAs were identified by short time-series expression miner and weighted gene co-expression network analysis. Of note, the results of qRT-PCR and IHC staining demonstrated that SHC adaptor protein 1 (SHC1), SLAM family member 8 (SLAMF8), and interleukin-32 (IL-32) exhibited gradually increasing trends in the four groups. Subsequent ELISA tests on the validation cohort indicated that the plasma levels of SHC1, SLAMF8 and IL-32 also gradually increased. Furthermore, a diagnostic model APFSSI (age, PLT, ferritin, SHC1, SLAMF8 and IL-32) was established to distinguish among CHB, LF/LC and HCC. The performance of APFSSI model for discriminating CHB from healthy subjects (AUC=0.966) was much greater compared to SHC1 (AUC=0.900), SLAMF8 (AUC=0.744) and IL-32 (AUC=0.821). When distinguishing LF/LC from CHB, APFSSI was the most outstanding diagnostic parameter (AUC=0.924), which was superior to SHC1, SLAMF8 and IL-32 (AUC=0.812, 0.684 and 0.741, respectively). Likewise, APFSSI model with the greatest AUC value displayed an excellent performance for differentiating between HCC and LF/LC than other variables (SHC1, SLAMF8 and IL-32) via ROC analysis. Finally, the results in the test set were consistent with those in the validation set. Conclusion SHC1, SLAMF8 and IL-32 can differentiate among patients with HCC, LF/LC, CHB and healthy controls. More importantly, the APFSSI model greatly improves the diagnostic accuracy of HBV-associated liver diseases.
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Affiliation(s)
- Dandan Zhao
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Xiaoxiao Zhang
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Yuhui Tang
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Peilin Guo
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Rong Ai
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Mengmeng Hou
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Yiqi Wang
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Xiwei Yuan
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Luyao Cui
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Yuguo Zhang
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Suxian Zhao
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Wencong Li
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Yang Wang
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Xiaoye Sun
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Lingdi Liu
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Shiming Dong
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Lu Li
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Wen Zhao
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
| | - Yuemin Nan
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver Diseases, Shijiazhuang, Hebei, People’s Republic of China
- Correspondence: Yuemin Nan, Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, No. 139 Ziqiang Road, Shijiazhuang, Hebei Province, 050051, People’s Republic of China, Tel +86 311-66781227, Fax +86 311-66781289, Email
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15
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Liu C, Shen Z, Ma H, Wang X, Wang X, Liu K, Wang X, Zhu Q, Zhao X. Gd-BOPTA-enhanced hepatobiliary phase MR imaging can predict the prognosis of patients with acute-on-chronic liver failure. Eur Radiol 2022; 32:3006-3015. [PMID: 34989839 DOI: 10.1007/s00330-021-08440-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/23/2021] [Accepted: 10/25/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To determine the value of gadobenate dimeglumine (Gd-BOPTA)-enhanced magnetic resonance imaging (MRI) from the hepatobiliary phase for predicting poor outcome in acute-on-chronic liver failure (ACLF) patients. METHODS In this single-center retrospective study, 74 patients diagnosed as ACLF who underwent Gd-BOPTA-enhanced hepatobiliary magnetic resonance imaging were collected. The quantitative liver-spleen contrast ratio (Q-LSC) and the relative enhancement ratio of the biliary system (REB) at the hepatobiliary phase were measured. Cox proportional hazards regression models were used to evaluate prognostic factors. The capacity of the Q-LSC and REB to predict the 90-day outcome was evaluated via receiver operating characteristic (ROC) curve. RESULTS During the follow-up period, twenty-eight of 74 ACLF patients (38%) had a poor outcome. The Q-LSC and REB were significant predictive factors (hazard ratio [HR] = 0.03 [0.002-0.54], p < 0.05; HR = 0.07 [0.01-0.88], p < 0.05) for prognosis in patients with ACLF. Moreover, the areas under the ROC curves of Q-LSC and REB for predicting poor outcome in patients with ACLF were 0.81 and 0.80, respectively. The most appropriate cutoff values for the Q-LSC and REB were 1.09 and 0.57, respectively. The ACLF patients with the Q-LSC ≤ 1.09 or REB ≤ 0.57 had a low cumulative survival. CONCLUSIONS Gd-BOPTA-enhanced hepatobiliary phase MR imaging can predict poor outcome in patients with acute-on-chronic liver failure. KEY POINTS • The quantitative liver-spleen contrast ratio at the hepatobiliary phase was a significant predictive prognostic factor in patients with acute-on-chronic liver failure. • The relative enhancement ratio of the biliary system at the hepatobiliary phase was a significant prognostic factor in patients with acute-on-chronic liver failure. • Gadobenate dimeglumine contrast-enhanced MR imaging from the hepatobiliary phase can predict poor outcome in patients with acute-on-chronic liver failure.
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Affiliation(s)
- Chenxi Liu
- Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China.,Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China
| | - Zijian Shen
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, 324#, Jing 5 Rd, Jinan, 250021, Shandong Province, China.,Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China
| | - Hui Ma
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, 324#, Jing 5 Rd, Jinan, 250021, Shandong Province, China.,Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China
| | - Xueqi Wang
- Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China.,Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China
| | - Xinyu Wang
- Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China.,Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China
| | - Keke Liu
- Shandong Academy of Clinical Medicine, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, 324#, Jing 5 Rd, Jinan, 250021, Shandong Province, China.,Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China
| | - Qiang Zhu
- Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China. .,Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China.
| | - Xinya Zhao
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, 324#, Jing 5 Rd, Jinan, 250021, Shandong Province, China. .,Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong Province, China.
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16
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Li N, An P, Wang J, Zhang T, Qing X, Wu B, Sun L, Ding X, Niu L, Xie Z, Zhang M, Guo X, Chen X, Cai T, Luo J, Wang F, Yang F. Plasma proteome profiling combined with clinical and genetic features reveals the pathophysiological characteristics of β-thalassemia. iScience 2022; 25:104091. [PMID: 35378860 PMCID: PMC8976145 DOI: 10.1016/j.isci.2022.104091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/17/2022] [Accepted: 03/14/2022] [Indexed: 11/11/2022] Open
Abstract
The phenotype of β-thalassemia underlies multigene interactions, making clinical stratification complicated. An increasing number of genetic modifiers affecting the disease severity have been identified, but are still unable to meet the demand of precision diagnosis. Here, we systematically conducted a comparative plasma proteomic profiling on patients with β-thalassemia and healthy controls. Among 246 dysregulated proteins, 13 core protein signatures with excellent biomarker potential are proposed. The combination of proteome and patients' clinical data revealed patients with codons 41/42 -TTCT mutations have an elevated risk of higher iron burden, dysplasia, and osteoporosis than patients with other genotypes. Notably, 85 proteins correlating to fetal hemoglobin (Hb F) were identified, among which the abundance of 27 proteins may affect the transfusion burden in patients with β-thalassemia. The current study thus provides protein signatures as potential diagnostic biomarkers or therapeutic clues for β-thalassemia. 246 dysregulated proteins are detected in plasma of patients with β-thalassemia 13 potential biomarkers and 27 proteins related to disease progression are found Variations in plasma proteome reveal the disease pathophysiological characteristics Codons 41/42 -TTCT carriers have higher ferritin levels compared to non-carriers
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Affiliation(s)
- Na Li
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng An
- Department of Nutrition and Health, China Agricultural University, Beijing 100193, China
| | - Jifeng Wang
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Tingting Zhang
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoqing Qing
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bowen Wu
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lang Sun
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiang Ding
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Lili Niu
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhensheng Xie
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Mengmeng Zhang
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaojing Guo
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiulan Chen
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tanxi Cai
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianming Luo
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021 China
| | - Fudi Wang
- The Fourth Affiliated Hospital, School of Public Health, State Key Laboratory of Experimental Hematology, Zhejiang University School of Medicine, Hangzhou 310058 , China
| | - Fuquan Yang
- Key Laboratory of Protein and Peptide Pharmaceuticals & Laboratory of Proteomics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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17
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Zhao D, Yu S, Guo P, Zhang X, Tang Y, Dong C, Zhao S, Li L, Al‐Dhamin Z, Ai R, Xue N, Dong S, Nan Y. Identification of potential plasma markers for hepatitis B virus related chronic hepatitis and liver fibrosis/cirrhosis. J Med Virol 2022; 94:3900-3910. [PMID: 35420168 DOI: 10.1002/jmv.27761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/08/2022] [Accepted: 04/02/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Dandan Zhao
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Songhao Yu
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Peilin Guo
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Xiaoxiao Zhang
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Yuhui Tang
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Chen Dong
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Suxian Zhao
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Lu Li
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Zaid Al‐Dhamin
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Rong Ai
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Ningning Xue
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Shiming Dong
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
| | - Yuemin Nan
- Department of Traditional and Western Medical HepatologyThird Hospital of Hebei Medical University050051ShijiazhuangChina
- Hebei Provincial Key Laboratory of Liver Fibrosis in Chronic Liver DiseasesChina
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18
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Jiang Z, Elsarrag SZ, Duan Q, LaGory EL, Wang Z, Alexanian M, McMahon S, Rulifson IC, Winchester S, Wang Y, Vaisse C, Brown JD, Quattrocelli M, Lin CY, Haldar SM. KLF15 cistromes reveal a hepatocyte pathway governing plasma corticosteroid transport and systemic inflammation. SCIENCE ADVANCES 2022; 8:eabj2917. [PMID: 35263131 PMCID: PMC8906731 DOI: 10.1126/sciadv.abj2917] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 01/13/2022] [Indexed: 05/15/2023]
Abstract
Circulating corticosteroids orchestrate stress adaptation, including inhibition of inflammation. While pathways governing corticosteroid biosynthesis and intracellular signaling are well understood, less is known about mechanisms controlling plasma corticosteroid transport. Here, we show that hepatocyte KLF15 (Kruppel-like factor 15) controls plasma corticosteroid transport and inflammatory responses through direct transcriptional activation of Serpina6, which encodes corticosteroid-binding globulin (CBG). Klf15-deficient mice have profoundly low CBG, reduced plasma corticosteroid binding capacity, and heightened mortality during inflammatory stress. These defects are completely rescued by reconstituting CBG, supporting that KLF15 works primarily through CBG to control plasma corticosterone homeostasis. To understand transcriptional mechanisms, we generated the first KLF15 cistromes using newly engineered Klf153xFLAG mice. Unexpectedly, liver KLF15 is predominantly promoter enriched, including Serpina6, where it binds a palindromic GC-rich motif, opens chromatin, and transactivates genes with minimal associated direct gene repression. Overall, we provide critical mechanistic insight into KLF15 function and identify a hepatocyte-intrinsic transcriptional module that potently regulates systemic corticosteroid transport and inflammation.
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Affiliation(s)
- Zhen Jiang
- Amgen Research, South San Francisco, CA 94080, USA
- Gladstone Institutes, San Francisco, CA 94158, USA
| | - Selma Z. Elsarrag
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Medical Scientist Training Program and Quantitative and Computational Biosciences Graduate Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Qiming Duan
- Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - Zhe Wang
- Amgen Research, South San Francisco, CA 94080, USA
| | | | - Sarah McMahon
- Gladstone Institutes, San Francisco, CA 94158, USA
- Biomedical Sciences Graduate Program, UCSF School of Medicine, San Francisco, CA 94143, USA
| | | | | | - Yi Wang
- UCSF Diabetes Center and Department of Medicine, UCSF School of Medicine, San Francisco, CA 94143, USA
| | - Christian Vaisse
- UCSF Diabetes Center and Department of Medicine, UCSF School of Medicine, San Francisco, CA 94143, USA
| | - Jonathan D. Brown
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Mattia Quattrocelli
- Molecular Cardiovascular Biology Division, Heart Institute, Cincinnati Children’s Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Charles Y. Lin
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Kronos Bio Inc., Cambridge, MA 02142, USA
| | - Saptarsi M. Haldar
- Amgen Research, South San Francisco, CA 94080, USA
- Gladstone Institutes, San Francisco, CA 94158, USA
- Cardiology Division, Department of Medicine, UCSF School of Medicine, San Francisco, CA 94143, USA
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19
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Chantada-Vázquez MDP, Conde-Amboage M, Graña-López L, Vázquez-Estévez S, Bravo SB, Núñez C. Circulating Proteins Associated with Response and Resistance to Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer. Cancers (Basel) 2022; 14:cancers14041087. [PMID: 35205837 PMCID: PMC8870308 DOI: 10.3390/cancers14041087] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/24/2022] [Accepted: 02/16/2022] [Indexed: 12/13/2022] Open
Abstract
Simple Summary The goal of this study was to find circulating proteins that can be easily sampled and incorporated into a clinical setting to improve predictive treatment response in HER2-positive breast cancer patients receiving neoadjuvant chemotherapy. We looked for potential biomarkers in serum, which we identified using two proteomics techniques: qualitative LC-MS/MS and a quantitative assay that assessed protein expression between responders and non-responders HER2-positive breast cancer patients to neoadjuvant chemotherapy. Abstract Despite the increasing use of neoadjuvant chemotherapy (NAC) in HER2-positive breast cancer (BC) patients, the clinical problem of predicting individual treatment response remains unanswered. Furthermore, the use of ineffective chemotherapeutic regimens should be avoided. Serum biomarker levels are being studied more and more for their ability to predict therapy response and aid in the development of personalized treatment regimens. This study aims to identify effective protein networks and biomarkers to predict response to NAC in HER2-positive BC patients through an exhaustive large-scale LC-MS/MS-based qualitative and quantitative proteomic profiling of serum samples from responders and non-responders. Serum samples from HER2-positive BC patients were collected before NAC and were processed by three methods (with and without nanoparticles). The qualitative analysis revealed differences in the proteomic profiles between responders and non-responders, mainly in proteins implicated in the complement and coagulation cascades and apolipoproteins. Qualitative analysis confirmed that three proteins (AFM, SERPINA1, APOD) were correlated with NAC resistance. In this study, we show that serum biomarker profiles can predict treatment response and outcome in the neoadjuvant setting. If these findings are further developed, they will be of significant clinical utility in the design of treatment regimens for individual BC patients.
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Affiliation(s)
- María del Pilar Chantada-Vázquez
- Research Unit, Lucus Augusti University Hospital (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain;
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), 15706 Santiago de Compostela, Spain
| | - Mercedes Conde-Amboage
- Models of Optimization Decision, Statistics and Applications Research Group (MODESTYA), Department of Statistics, Mathematical Analysis and Optimization, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;
- CITMAga, 15782 Santiago de Compostela, Spain
| | - Lucía Graña-López
- Breast Pathology Group, Lucus Augusti University Hospital (HULA)-IDIS, Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain;
- Radiology Department, Lucus Augusti University Hospital (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain
| | - Sergio Vázquez-Estévez
- Oncology Division, Lucus Augusti University Hospital (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain;
| | - Susana B. Bravo
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), 15706 Santiago de Compostela, Spain
- Correspondence: (S.B.B.); (C.N.)
| | - Cristina Núñez
- Research Unit, Lucus Augusti University Hospital (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain;
- Correspondence: (S.B.B.); (C.N.)
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20
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Huang Y, Yan D, Zhang H, Lou B, Yan R, Yao Y, Dong M, Yang D, Lv F, Chen Y. Lower testosterone levels predict increasing severity and worse outcomes of hepatitis B virus-related acute-on-chronic liver failure in males. BMC Gastroenterol 2021; 21:457. [PMID: 34872528 PMCID: PMC8650519 DOI: 10.1186/s12876-021-01993-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 10/25/2021] [Indexed: 01/01/2023] Open
Abstract
Background Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a serious liver disease with pathogenesis remaining unclear. This study aims to investigate the association between testosterone levels, stage (early, middle, or late, categorized according to clinical manifestation), severity scores, and clinical outcomes of HBV-ACLF. Methods This single-center observational study involved 160 male patients with HBV-ACLF, 151 chronic hepatitis B patients without liver failure (CHB) and 106 healthy controls (HC). Morning blood samples were collected and androgen levels analyzed by chemi-bioluminescent immunoassay. Time to death or liver transplantation within 90 days comprised the primary composite outcome. Results Serum levels of total testosterone (TT), free testosterone index (FTI), dehydroepiandrosterone sulfate and cortisol were significantly lower among HBV-ACLF than CHB and HC, while androstenedione was higher. Low TT, sex hormone binding globulin and FTI were associated with increased stage (of HBV-ACLF, ascites, and hepatic encephalopathy) and severity scores (Model for End-stage Liver Disease and Chinese Group on the Study of Severe Hepatitis B-ACLF scores). Low TT (< 142.39 ng/dL) was a risk factor for both the composite outcome and for death alone within 90 days. Multivariate analysis revealed TT to be an independent predictor for the composite outcome (hazard ratio 2.57, 95% CI 1.09–6.02; P = 0.030). Conclusion Low serum testosterone is common among male patients with HBV-ACLF and predictive of increased severity and worse outcome of the disease and may play an important role in the progression of HBV-ACLF.
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Affiliation(s)
- Yandi Huang
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, #79 Qingchun Road, Hangzhou, 310000, Zhejiang, People's Republic of China.,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310000, China.,Institute of Laboratory Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Dong Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Huafen Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Bin Lou
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, #79 Qingchun Road, Hangzhou, 310000, Zhejiang, People's Republic of China.,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310000, China.,Institute of Laboratory Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Ren Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Yifan Yao
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, #79 Qingchun Road, Hangzhou, 310000, Zhejiang, People's Republic of China.,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310000, China.,Institute of Laboratory Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Minya Dong
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, #79 Qingchun Road, Hangzhou, 310000, Zhejiang, People's Republic of China.,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310000, China.,Institute of Laboratory Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Donglei Yang
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, #79 Qingchun Road, Hangzhou, 310000, Zhejiang, People's Republic of China.,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310000, China.,Institute of Laboratory Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Feifei Lv
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, #79 Qingchun Road, Hangzhou, 310000, Zhejiang, People's Republic of China.,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310000, China.,Institute of Laboratory Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Yu Chen
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, #79 Qingchun Road, Hangzhou, 310000, Zhejiang, People's Republic of China. .,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310000, China. .,Institute of Laboratory Medicine, Zhejiang University, Hangzhou, 310000, China. .,State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, China.
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21
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Computed Tomography Image Features under Convolutional Neural Network Algorithm in Analysis of Inflammatory Factor Level and Prognosis of Patients with Hepatitis B Virus-Associated Acute-on-Chronic Liver Failure. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:2110612. [PMID: 34790343 PMCID: PMC8592768 DOI: 10.1155/2021/2110612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 11/25/2022]
Abstract
This study aimed to explore the application value of three-dimensional (3D) convolutional neural networks (3D-CNN)-based computed tomography (CT) image intelligent segmentation model in the identification of lesions of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF). A total of 30 patients with HBV-ACLF, 30 patients with chronic HBV hospitalized in hospital, and 30 healthy volunteers were selected as subjects. Liver function and serum inflammatory factors were measured in each group, and the 3D-CNN algorithm model was applied to CT imaging. The results showed that the levels of interleukin (IL)-6, IL-26, and IL-37 in the HBV-ACLF group were the highest, which were 128.43 ± 45.16 pg/mL, 1237.47 ± 536.22 pg/mL, and 50.83 ± 7.62 pg/mL, respectively. Total bilirubin (TBIL) (P=0.035) and IL-26 (P=0.013) were independent predictors that affected the prognosis of HBV-ACLF patients. The results of lesion segmentation showed that the Dice coefficient of 3D-CNN low-density focus and enhanced focus segmentation was the highest (0.821 ± 0.07 and 0.773 ± 0.071), and the marked area was close to the area manually drawn by the doctor. 3D CNN was superior to other algorithms in the number of nodular lesions detected (533), sensitivity (97.5%), and missed detection rate (0.52%) (P < 0.05). In short, IL-26 may become a useful biomarker in the treatment of HBV-ACLF. The 3D-CNN model improved the segmentation performance of lesions in CT images of HBV-ACLF patients, which provided a reference for the diagnosis and prognosis of HBV-ACLF.
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22
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Analysis of Proteomic Characteristics of Peripheral Blood in Preeclampsia and Study of Changes in Fetal Arterial Doppler Parameters Based on Magnetic Nanoparticles. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:7145487. [PMID: 34765014 PMCID: PMC8577888 DOI: 10.1155/2021/7145487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/19/2021] [Indexed: 11/17/2022]
Abstract
Background Traditional mass spectrometry detection methods have low detection efficiency for low-abundance proteins, thus limiting the application of proteomic analysis in the diagnosis of preeclampsia. Magnetic nanomaterials have good superparamagnetism and have obvious advantages in the field of biological separation and enrichment. Aim The objective of this study is to explore the value of superparamagnetic iron oxide nanoparticles in the proteomic analysis of preeclampsia. Materials and Methods 42 patients and 40 normal pregnant women were selected in this study for analysis. Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to evaluate the function of these differential proteins. Proteomic analysis was used to analyze the differential proteins. Color Doppler ultrasound technology was used to detect changes in the blood flow of the fetal umbilical artery and cerebral artery. Results 16 differential proteins in the serum of pregnant women with preeclampsia and normal pregnant women were detected. The 16 proteins are mainly related to angiogenesis and endothelial function proteins, coagulation cascade proteins, placental growth factor, and so on. Biological function analysis revealed that these proteins are mainly enriched in the nuclear factor kB (NF-κB) signaling pathway. Moreover, our data suggested that compared with the fetus in the uterus of normal pregnant women, the umbilical artery S/D, PI, and RI of the fetus in preeclampsia were greatly increased, and the cerebral artery S/D, PI, and RI were greatly decreased. Conclusion Biological function analysis revealed that 16 proteins are mainly enriched in the NF-κB signaling pathway. Compared with the normal group, the umbilical artery S/D, PI, and RI of the preeclampsia group were greatly increased, and the cerebral artery S/D, PI, and RI were all greatly reduced. Our findings provided a more comprehensive reference for us to study the mechanism of preeclampsia at the molecular level and also provide data support for the screening of relevant markers for early diagnosis of preeclampsia.
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Che YQ, Zhang Y, Li HB, Shen D, Cui W. Serum KLKB1 as a Potential Prognostic Biomarker for Hepatocellular Carcinoma Based on Data-Independent Acquisition and Parallel Reaction Monitoring. J Hepatocell Carcinoma 2021; 8:1241-1252. [PMID: 34676182 PMCID: PMC8520450 DOI: 10.2147/jhc.s325629] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/08/2021] [Indexed: 12/12/2022] Open
Abstract
Purpose With the advancement of minimally invasive surgery and catheters for hepatocellular carcinoma (HCC), it is becoming more and more inconvenient to get tissues or the tissues gained are insufficient for testing. Screening of blood-derived markers is of great significance for prognosis assessment. Patients and Methods Data-independent acquisition (DIA) and parallel reaction monitoring (PRM) were implemented to identify valuable prognostic HCC biomarkers in 48 patients with different prognosis. The potential candidate biomarkers were examined in 205 HCC patients using enzyme-linked immunosorbent assay (ELISA) and then validated in The Cancer Genome Atlas (TCGA) HCC cohort. Results DIA screened 86 significantly differentially regulated proteins between patients with poor prognosis and those with good prognosis. Eight proteins from the DIA proteomic analyses were quantified by PRM, and six of them (KLKB1, IGFBP3, SHBG, SAA1, C7, and CD44) presented consistent expression trends between DIA and PRM. Then, the results of ELISA indicated that KLKB1 was abnormally expressed in HCC patients, and the serum level of KLKB1 also exhibited significant changes before and after treatment (P = 0.016). Patients with higher KLKB1 serum levels had significantly superior overall survival (P = 0.035) and progression-free survival (P = 0.027) than those with lower KLKB1 expression. In the TCGA-HCC cohort, Cox regression analysis suggested that KLKB1 was an independent prognostic factor for overall survival (P = 0.032) of HCC patients. Conclusion Aberrant expression of KLKB1 was strongly associated with the prognosis of HCC patients. KLKB1 may be used to evaluate the prognosis and guide the treatment for HCC.
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Affiliation(s)
- Yi-Qun Che
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.,Center for Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China
| | - Yue Zhang
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Han-Bing Li
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Di Shen
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Wei Cui
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
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Cui D, Li W, Jiang D, Wu J, Xie J, Wu Y. Advances in Multi-Omics Applications in HBV-Associated Hepatocellular Carcinoma. Front Med (Lausanne) 2021; 8:754709. [PMID: 34660653 PMCID: PMC8514776 DOI: 10.3389/fmed.2021.754709] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/31/2021] [Indexed: 12/15/2022] Open
Abstract
Hepatitis B virus (HBV) specifically infects liver cells, leading to progressive liver cirrhosis and significantly increasing the risk of hepatocellular carcinoma (HCC). The maturity of sequencing technology, improvement in bioinformatics data analysis and progress of omics technologies had improved research efficiency. The occurrence and progression of HCC are affected by multisystem and multilevel pathological changes. With the application of single-omics technologies, including genomics, transcriptomics, metabolomics and proteomics in tissue and body fluid samples, and even the novel development of multi-omics analysis on a single-cell platform, HBV-associated HCC changes can be better analyzed. The review summarizes the application of single omics and combined analysis of multi-omics data in HBV-associated HCC and proposes the importance of multi-omics analysis in the type of HCC, which provide the possibility for the precise diagnosis and therapy of HBV-associated HCC.
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Affiliation(s)
- Dawei Cui
- Department of Blood Transfusion, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Li
- Center of Research Laboratory, The First People's Hospital of Lianyungang, Lianyungang, China
| | - Daixi Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianguo Wu
- Department of Laboratory Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Jue Xie
- Department of Blood Transfusion, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yingping Wu
- Department of Laboratory Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
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25
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Ge G, Zheng Q, Sun Z, Wang H, Wang H, Ren K, Wu H, Zhu S, Li G. Proteomic Signature of Urosepsis: From Discovery in a Rabbit Model to Validation in Humans. J Proteome Res 2021; 20:3889-3899. [PMID: 34191523 DOI: 10.1021/acs.jproteome.1c00189] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Urosepsis after upper urinary tract endoscopic lithotripsy (UUTEL) may cause uroseptic shock with high mortality, which can be prevented if early diagnosis and timely intervention are implemented with help of a diagnostic protein panel. The plasma of five rabbits of uroseptic shock and five controls was subjected to exploratory proteomics to search biomarker candidates from proteomic profiles related to uroseptic shock. Then, plasma from 21 nonsepsis and 20 urosepsis patients according to European diagnostic criteria of sepsis was enrolled in the validation study via targeted proteomics. Changes in a massive number of plasma proteins, mainly enriched in immune regulation, coagulation, structural repair, and transport activity, were observed in the rabbit model of septic shock. Fifteen proteins were identified as differential expression proteins between sepsis and nonsepsis patients. A diagnostic model composed of three proteins lipopolysaccharide-binding protein (LBP), clusterin (CLU), and vascular cell adhesion protein 1 (VCAM1) was developed for the early detection (2 hours postoperatively) of urosepsis after UUTEL, with a high area under the receiver operating characteristic (ROC) curve of 0.921. In conclusion, changes in the proteomic profile may reflect the underlying biological mechanisms during the development of urosepsis and produce diagnostic biomarkers for the early detection of urosepsis after UUTEL.
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Affiliation(s)
- Guangju Ge
- Departments of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Qiming Zheng
- Departments of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Zeyu Sun
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| | - Huan Wang
- Departments of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Huailan Wang
- Departments of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Keyi Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| | - Haiyang Wu
- Departments of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Shibin Zhu
- Departments of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Gonghui Li
- Departments of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
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Boldt ABW, Oliveira-Toré CDF, Kretzschmar GC, Weinschutz Mendes H, Stinghen ST, Andrade FA, Bumiller-Bini V, Gonçalves LB, Braga ACDM, Stahlke EVRS, Velavan TP, Thiel S, de Messias-Reason IJT. Hepatitis B Virus Infection Among Leprosy Patients: A Case for Polymorphisms Compromising Activation of the Lectin Pathway and Complement Receptors. Front Immunol 2021; 11:574457. [PMID: 33643280 PMCID: PMC7904891 DOI: 10.3389/fimmu.2020.574457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 12/24/2020] [Indexed: 01/05/2023] Open
Abstract
Thousands of leprosy patients not only suffer from physical deformities, but also either have or have had hepatitis B virus (HBV) coinfection. Polymorphisms of the complement system modulate susceptibility to leprosy, but genetic susceptibility to past or present HBV infection is unknown. We used sequencing and multiplex sequence-specific PCR to genotype 72 polymorphisms of seven genes (MBL2, FCN1, FCN2, FCN3, MASP1, MASP2, C3) encoding components of the lectin pathway, and two genes encoding complement receptors (CR1, VSIG4) in 190 patients, of which 74 were positive for HBsAg and/or anti-HBc (HBV+, 93.2% with a resolved infection) and 116 lepromatous patients, and 408 HBV-blood donors. In addition, we tested for levels of proteins of the lectin pathway. We found no difference between serum concentrations of mannan-binding lectin (MBL), MBL-associated serine proteins (MASP-1, MASP-2, MASP-3, MAp44), ficolin-3 (FCN-3), soluble complement receptor 1 (sCR1) and MBL mediated C4 activation, measured by ELISA or TRIFMA in up to 167 HBV+ and HBV- patients. Haplotypes lowering protein levels or encoding dysfunctional proteins increased susceptibility to HBV infection: MBL2*LYQC (OR = 3.4, p = 0.02), MASP1*AC_CC (OR = 4.0, p = 0.015) and MASP2*1C2-l (OR = 5.4, p = 0.03). Conversely, FCN1*3C2 haplotype, associated with higher gene expression, was protective (OR = 0.56, P = 0.033). Other haplotypes associated with HBV susceptibility were: MASP2*2B1-i (OR = 19.25, P = 0.003), CR1*3A (OR = 2.65, P = 0.011) and VSIG4*TGGRCG (OR = 12.55, P = 0.014). Some polymorphisms in ficolin genes associated with lower protein levels increased susceptibility to leprosy/HBV infection: FCN*1 (OR = 1.66, P = 0.029), FCN2*GGGCAC (OR = 6.73, P = 0.008), and FCN3*del_del_C (OR = 12.54, P = 0.037), and to lepromatous disease/HBV infection: FCN2*TA (OR = 2.5, P = 0.009), whereas FCN2*MAG was associated with increased FCN-2 expression and resistance against coinfection (OR = 0.29, P = 0.026). These associations were independent of demographic factors and did not increase susceptibility to leprosy per se, except MASP2*1C2-l. Associations for FCN2, FCN3, MASP1, MASP2, and VSIG4 variants were also independent of each other. In conclusion, polymorphisms compromising activation of the lectin pathway of complement increase susceptibility to HBV infection, with ficolin polymorphisms playing a major role in modulating the susceptibility among leprosy patients.
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Affiliation(s)
- Angelica Beate Winter Boldt
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Camila de Freitas Oliveira-Toré
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Gabriela Canalli Kretzschmar
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Hellen Weinschutz Mendes
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Sérvio Túlio Stinghen
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Fabiana Antunes Andrade
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Valéria Bumiller-Bini
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Letícia Boslooper Gonçalves
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Anna Carolina de Moraes Braga
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | | | - Thirumalaisamy P. Velavan
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Tübingen, Germany
- Vietnamese-German Center for Medical Research, Hanoi, Vietnam
- Faculty of Medicine, Duy Tan University, Da Nang, Vietnam
| | - Steffen Thiel
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Iara José Taborda de Messias-Reason
- Laboratory of Molecular Immunopathology, Postgraduate Program in Internal Medicine and Health Sciences, Department of Clinical Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
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Hu A, Wang Z, Xie J, Lin L, Yang P, Zhang L, Shen H, Cao YO. Fast and precise quantification of serum biomarkers and simultaneous recognition of multiple diseases enabled by a stable isotope-labelled peptides assisted high-throughput MRM strategy. Analyst 2020; 145:5299-5306. [PMID: 32677633 DOI: 10.1039/d0an01100b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Serum/plasma holds promise as an important source of disease-related proteins and even biomarkers in clinical practice. However, the discovery of biomarker candidates in serum/plasma remains challenging. In this study, we constructed an MS strategy that enables the fast and precise quantification of serum biomarkers through coupling a high-throughput scheduled MRM strategy with a stable isotope-labelled (SIL) peptide panel from more than 500 plasma proteins as internal standards. With this strategy, we discovered relevant serum proteins of atherosclerosis (AS), lung cancer (LC) and breast cancer (BC), which can simultaneously recognize these diseases. The results indicate that the powerful strategy we constructed has the potential for serum biomarker screening and disease detection.
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Affiliation(s)
- Anqi Hu
- Minhang Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai, 201199, China.
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28
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Yang T, Fu Z, Zhang Y, Wang M, Mao C, Ge W. Serum proteomics analysis of candidate predictive biomarker panel for the diagnosis of trastuzumab-based therapy resistant breast cancer. Biomed Pharmacother 2020; 129:110465. [PMID: 32887021 DOI: 10.1016/j.biopha.2020.110465] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/24/2020] [Accepted: 06/24/2020] [Indexed: 12/15/2022] Open
Abstract
Human epidermal growth factor receptor 2 (HER2)-positive is a particularly aggressive type of the breast cancer. Trastuzumab-based therapy is a standard treatment for HER2-positive breast cancer, but some patients are resistant to the therapy. Serum proteins have been used to predict therapeutic benefit for various cancers, but whether serum proteins can serve as biomarkers for HER2-positive breast cancer remains unclear. Using an isobaric Tandem Mass Tag (TMT) label-based quantitative proteomic, we discovered 18 differentially expressed proteins in the serum of trastuzumab-based therapy resistant patients before therapy. Then, four proteins were selected and validated using an LC-MS/MS-based multiple reaction monitoring quantification method, and it was confirmed that three proteins (SRGN, LDHA and CST3) were correlated with trastuzumab-based therapy resistance. Finally, the trastuzumab-based therapy resistance diagnostic score was calculated and acquired by means of a logistic regression pattern based on the level of these three proteins. In summary, we develop a serum-based protein signature that potentially predicts the therapeutic effects of trastuzumab-based therapy for HER2-positive breast cancer patients.
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Affiliation(s)
- Ting Yang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
| | - Ziyi Fu
- Nanjing Maternal and Child Health Medical Institute, Nanjing Maternity and Child Health Care Hospital, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Women's Hospital of Nanjing Medical University, Nanjing, China; Department of Oncology, First Affiliated Hospital, Nanjing Medical University, 210029 Nanjing, China
| | - Yin Zhang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Min Wang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Changfei Mao
- Department of General Surgery, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
| | - Weihong Ge
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
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29
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Schwensow N, Pederson S, Peacock D, Cooke B, Cassey P. Adaptive changes in the genomes of wild rabbits after 16 years of viral epidemics. Mol Ecol 2020; 29:3777-3794. [PMID: 32506669 DOI: 10.1111/mec.15498] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 05/20/2020] [Accepted: 05/29/2020] [Indexed: 01/01/2023]
Abstract
Since its introduction to control overabundant invasive European rabbits (Oryctolagus cuniculus), the highly virulent rabbit haemorrhagic disease virus (RHDV) has caused regular annual disease outbreaks in Australian rabbit populations. Although initially reducing rabbit abundance by 60%, continent-wide, experimental evidence has since indicated increased genetic resistance in wild rabbits that have experienced RHDV-driven selection. To identify genetic adaptations, which explain the increased resistance to this biocontrol virus, we investigated genome-wide SNP (single nucleotide polymorphism) allele frequency changes in a South Australian rabbit population that was sampled in 1996 (pre-RHD genomes) and after 16 years of RHDV outbreaks. We identified several SNPs with changed allele frequencies within or close to genes potentially important for increased RHD resistance. The identified genes are known to be involved in virus infections and immune reactions or had previously been identified as being differentially expressed in healthy versus acutely RHDV-infected rabbits. Furthermore, we show in a simulation study that the allele/genotype frequency changes cannot be explained by drift alone and that several candidate genes had also been identified as being associated with surviving RHD in a different Australian rabbit population. Our unique data set allowed us to identify candidate genes for RHDV resistance that have evolved under natural conditions, and over a time span that would not have been feasible in an experimental setting. Moreover, it provides a rare example of host genetic adaptations to virus-driven selection in response to a suddenly emerging infectious disease.
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Affiliation(s)
- Nina Schwensow
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany.,Centre for Applied Conservation Science, and School of Biological Sciences, University of Adelaide, SA, Australia
| | - Stephen Pederson
- Bioinformatics Hub, School of Biological Sciences, University of Adelaide, SA, Australia
| | - David Peacock
- Biosecurity SA, Adelaide, SA, Australia.,School of Animal and Veterinary Science, University of Adelaide, Roseworthy, SA, Australia
| | - Brian Cooke
- Institute for Applied Ecology, University of Canberra, Canberra, ACT, Australia
| | - Phillip Cassey
- Centre for Applied Conservation Science, and School of Biological Sciences, University of Adelaide, SA, Australia
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Ruggeberg KG, O'Sullivan P, Kovacs TJ, Dawson K, Capponi VJ, Chan PP, Golobish TD, Gruda MC. Hemoadsorption Improves Survival of Rats Exposed to an Acutely Lethal Dose of Aflatoxin B 1. Sci Rep 2020; 10:799. [PMID: 31964964 PMCID: PMC6972926 DOI: 10.1038/s41598-020-57727-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 01/07/2020] [Indexed: 11/09/2022] Open
Abstract
Mycotoxins, such as aflatoxin B1 (AFB1), pose a serious threat as biological weapons due to their high toxicity, environmental stability, easy accessibility and lack of effective therapeutics. This study investigated if blood purification therapy with CytoSorb (CS) porous polymer beads could improve survival after a lethal aflatoxin dose (LD90). The effective treatment window and potential therapeutic mechanisms were also investigated. Sprague Dawley rats received a lethal dose of AFB1 (0.5-1.0 mg/kg) intravenously and hemoperfusion with a CS or Control device was initiated immediately, or after 30, 90, or 240-minute delays and conducted for 4 hours. The CS device removes AFB1 from circulation and significantly improves survival when initiated within 90 minutes of toxin administration. Treated subjects exhibited improved liver morphology and health scores. Changes in the levels of cytokines, leukocytes and platelets indicate a moderately-severe inflammatory response to acute toxin exposure. Quantitative proteomic analysis showed significant changes in the level of a broad spectrum of plasma proteins including serine protease/endopeptidase inhibitors, coagulation factors, complement proteins, carbonic anhydrases, and redox enzymes that ostensibly contribute to the therapeutic effect. Together, these results suggest that hemoadsorption with CS could be a viable countermeasure against acute mycotoxin exposure.
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Affiliation(s)
| | | | | | - Kathryn Dawson
- CytoSorbents Medical, Monmouth Junction, NJ, United States
| | | | - Phillip P Chan
- CytoSorbents Medical, Monmouth Junction, NJ, United States
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