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Askeland A, Rasmussen RW, Gjela M, Frøkjær JB, Højlund K, Mellergaard M, Handberg A. Non-invasive liver fibrosis markers are increased in obese individuals with non-alcoholic fatty liver disease and the metabolic syndrome. Sci Rep 2025; 15:10652. [PMID: 40148373 PMCID: PMC11950363 DOI: 10.1038/s41598-025-85508-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Accepted: 01/03/2025] [Indexed: 03/29/2025] Open
Abstract
The need for early non-invasive diagnostic tools for chronic liver fibrosis is growing, particularly in individuals with obesity, non-alcoholic fatty liver disease (NAFLD), and the metabolic syndrome (MetS) since prevalence of these conditions is increasing. This case-control study compared non-invasive liver fibrosis markers in obesity with NAFLD and MetS (NAFLD-MetS, n = 33), in obese (n = 28) and lean (n = 27) control groups. We used MRI (T1 relaxation times (T1) and liver stiffness), circulating biomarkers (CK18, PIIINP, and TIMP1), and algorithms (FIB-4 index, Forns score, FNI, and MACK3 score) to assess their potential in predicting liver fibrosis risk. We found that T1 (892 ± 81 ms vs. 818 ± 64 ms, p < 0.001), FNI (15 ± 12% vs. 9 ± 7%, p = 0.018), CK18 (166 ± 110 U/L vs. 113 ± 41 U/L, p = 0.019), and MACK3 (0.18 ± 0.15 vs. 0.05 ± 0.04, p < 0.001) were higher in the NAFLD-MetS group compared with the obese control group. Moreover, correlations were found between CK18 and FNI (r = 0.69, p < 0.001), CK18 and T1 (r = 0.41, p < 0.001), FNI and T1 (r = 0.33, p = 0.006), MACK3 and FNI (r = 0.79, p < 0.001), and MACK3 and T1 (r = 0.50, p < 0.001). We show that liver fibrosis markers are increased in obese individuals with NAFLD and MetS without clinical signs of liver fibrosis. More studies are needed to validate the use of these non-invasive biomarkers for early identification of liver fibrosis risk.
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Affiliation(s)
- Anders Askeland
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Mimoza Gjela
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Jens Brøndum Frøkjær
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Maiken Mellergaard
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Aase Handberg
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
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Singh K, Lamba M, Kumar V, Ahuja P, Gupta KK, Reddy H, Patwa A, Rungta S, Verma S. A Comparative Study of Novel Fibrosis Index and Other Non-invasive Serum Indices for Predicting Fibrosis in Patients of Chronic Liver Disease. Cureus 2024; 16:e63658. [PMID: 39092367 PMCID: PMC11293017 DOI: 10.7759/cureus.63658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2024] [Indexed: 08/04/2024] Open
Abstract
Introduction Chronic liver disease progression leads to liver fibrosis/cirrhosis. Transient Elastography is used for staging liver fibrosis but ascites, obesity, and operator experience limit its applicability. In this study, we compared various non-invasive serum indices in predicting fibrosis in chronic liver disease patients. Materials and methods A total of 142 cases of confirmed Chronic Liver Disease were included. Quantitative determination of liver stiffness by Transient Elastography and relevant blood investigations was done. We compared the liver stiffness measurement by Transient Elastography and fibrosis indices, i.e., Aspartate Transaminase (AST) to Alanine Transaminase (ALT) Ratio (AAR), AST to Platelet Ratio Index (APRI), Fibrosis Index (FI), Fibrosis-4 (FIB-4) Index, Age-Platelet Index (API), Pohl score, and Fibrosis Cirrhosis Index (FCI) with Novel Fibrosis Index (NFI), to predict liver fibrosis stages. Results The optimum cutoff of NFI for the F4 stage was ≥ 6670 with a sensitivity of 75.8% and specificity of 81.8%, for the F3 stage was ≥ 2112 with a sensitivity of 63.6% and specificity of 72.7%, and for the F2 stage was ≥ 1334 with a sensitivity of 100% and specificity of 56.3%. The NFI had the maximum area under the curve compared to other indices in predicting fibrosis stages. Conclusion The Novel Fibrosis Index was the best in predicting fibrosis stages in Chronic Liver Disease patients, with good performance in predicting the F4 stage.
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Affiliation(s)
- Kaustubh Singh
- Internal Medicine, King George's Medical University, Lucknow, IND
| | - Mahak Lamba
- Internal Medicine, King George's Medical University, Lucknow, IND
| | - Vivek Kumar
- Internal Medicine, King George's Medical University, Lucknow, IND
| | - Pahul Ahuja
- Internal Medicine, King George's Medical University, Lucknow, IND
| | - K K Gupta
- Internal Medicine, King George's Medical University, Lucknow, IND
| | - Himanshu Reddy
- Internal Medicine, King George's Medical University, Lucknow, IND
| | - Ajay Patwa
- Internal Medicine, King George's Medical University, Lucknow, IND
| | - Sumit Rungta
- Gastroenterology, King George's Medical University, Lucknow, IND
| | - Sudhir Verma
- Internal Medicine, King George's Medical University, Lucknow, IND
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Banys V, Aleknavičiūtė-Valienė G. Clinical importance of laboratory biomarkers in liver fibrosis. Biochem Med (Zagreb) 2022; 32:030501. [PMID: 36277426 PMCID: PMC9562801 DOI: 10.11613/bm.2022.030501] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 07/12/2022] [Indexed: 11/18/2022] Open
Abstract
Hepatic cirrhosis is a major health problem across the world, causing high morbidity and mortality. This disease has many etiologies, yet the result of chronic hepatic injury is hepatic fibrosis causing cirrhosis and hepatocellular carcinoma, as the liver’s architecture is progressively destroyed. While liver biopsy is currently the gold standard for fibrosis staging, it has significant disadvantages, leading to a growing interest in non-invasive markers. Direct biomarkers – hyaluronic acid, laminin, collagen type III N-peptide, type IV collagen and cholylglycine – are new and rarely applied in routine clinical practice. This is the case primarily because there is no general consensus regarding the clinical application and effectiveness of the individual biomarkers. The usage of these markers in routine clinical practice could be advantageous for patients with liver fibrosis, requiring a simple blood test instead of a biopsy. The former option would be especially attractive for patients who are contraindicated for the latter. This review summarizes recent findings on direct biomarkers of liver fibrosis and highlights their possible applications and potential benefit for liver fibrosis diagnostics and/or staging.
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Affiliation(s)
- Valdas Banys
- Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
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4
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Peng X, Tian A, Li J, Mao Y, Jiang N, Li T, Mao X. Diagnostic Value of FibroTouch and Non-invasive Fibrosis Indexes in Hepatic Fibrosis with Different Aetiologies. Dig Dis Sci 2022; 67:2627-2636. [PMID: 34059990 DOI: 10.1007/s10620-021-07049-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 05/09/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Liver biopsy is the gold standard for staging liver fibrosis, but it has numerous drawbacks, mainly associated with bleeding and bile fistula risks. A number of non-invasive techniques have been investigated, but they all have their own disadvantages. To avoid the risks mentioned above and to improve the diagnostic value, we still need to search for a more accurate non-invasive method to evaluate the degree of liver fibrosis. AIM This study aimed to evaluate the diagnostic performance of FibroTouch versus other non-invasive fibrosis indexes in hepatic fibrosis of different aetiologies. METHODS This study retrospectively enrolled 227 patients with chronic hepatic liver disease admitted to the first hospital of Lanzhou University from 2017 to 2020. Liver biopsy was performed in all of the patients, and their biochemical indicators were all tested. Non-invasive indexes including the fibrosis index based on four factors (FIB-4), the aminotransferase-to-platelet ratio index (APRI), and the gamma-glutamyl transpeptidase-to-platelet ratio index (GPRI) were all calculated. Transient elastography was performed using FibroTouch. RESULTS The correlation between FibroTouch and the pathology of liver fibrosis was significantly higher than that between the non-invasive fibrosis indexes and the biopsy results (r = 0.771, p < 0.05). The area under the receiver operating curve (AUC) of FibroTouch was significantly higher than that of FIB-4, APRI, and GPRI for the diagnosis of significant fibrosis (≥ S2 fibrosis stage), advanced fibrosis (≥ S3 fibrosis stage), and cirrhosis (= S4 fibrosis stage) (p < 0.05). The patients were grouped according to different aetiologies. The diagnostic value of FibroTouch had much higher credibility in different fibrosis stages for different causes compared with other non-invasive indexes. The AUC of FibroTouch showed both higher specificity and higher sensitivity than FIB-4, APRI, and GPRI for different liver fibrosis stages with different aetiologies. CONCLUSIONS FibroTouch demonstrates the highest diagnostic value for liver fibrosis and cirrhosis among non-invasive methods, showing better results than FIB-4, APRI, and GPRI, and surpassed only by liver biopsy. FibroTouch is reliable in assessing liver fibrosis with different aetiologies.
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Affiliation(s)
- Xuebin Peng
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Aiping Tian
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Junfeng Li
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Yongwu Mao
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Ni Jiang
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Ting Li
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Xiaorong Mao
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China.
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Gibriel AA, Ismail MF, Sleem H, Zayed N, Yosry A, El-Nahaas SM, Shehata NI. Diagnosis and staging of HCV associated fibrosis, cirrhosis and hepatocellular carcinoma with target identification for miR-650, 552-3p, 676-3p, 512-5p and 147b. Cancer Biomark 2022; 34:413-430. [DOI: 10.3233/cbm-210456] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND: Chronic HCV infection progresses to fibrosis, cirrhosis and hepatocellular carcinoma (HCC). The latter represents the third most common cause for cancer mortality. Currently, there is no reliable non-invasive biomarker for diagnosis of HCV mediated disorders. OBJECTIVE: Profiling expression signature for circulatory miRNAs in the plasma of 167 Egyptian patients (40 healthy, 48 HCV fibrotic, 39 HCV cirrhotic and 40 HCV-HCC cases). METHODS: QRTPCR was used to quantify expression signature for circulatory miRNAs. RESULTS: MiR-676 and miR-650 were powerful in discriminating cirrhotic and late fibrosis from HCC. MiR-650 could distinguish mild (f0-f1) and advanced (f2-f3) fibrosis from HCC cases. MiR-650 and miR-147b could distinguish early fibrosis from healthy controls meanwhile miR-676 and miR-147b could effectively distinguish between mild chronic and (f1-f3) cases from healthy individuals. All studied miRNAs, except miR-512, can differentiate between (f0-f3) cases and healthy controls. Multivariate logistic regression revealed three potential miRNA panels for effective differentiation of HCC, cirrhotic and chronic liver cases. MiR-676-3p and miR-512-5p were significantly correlated in (f1-f3) fibrosis meanwhile miR-676 and miR-512 could differentiate between cirrhosis and (f0-f3) cases. Both miR-650 and miR-512-5p were positively correlated in the cirrhotic group and in (f0-f4) group. Putative targets for investigated miRNAs were also determined. CONCLUSIONS: Investigated miRNAs could assist in staging and diagnosis of HCV associated disorders.
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Affiliation(s)
- Abdullah Ahmed Gibriel
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, Egypt
| | - Manal Fouad Ismail
- Biochemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Hameis Sleem
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, Egypt
| | - Naglaa Zayed
- Endemic Medicine Department and Hepatology Unit, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ayman Yosry
- Endemic Medicine Department and Hepatology Unit, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Saeed M. El-Nahaas
- Endemic Medicine Department and Hepatology Unit, Faculty of Medicine, Cairo University, Cairo, Egypt
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6
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Ismaiel A, Leucuta DC, Popa SL, Fagoonee S, Pellicano R, Abenavoli L, Dumitrascu DL. Noninvasive biomarkers in predicting nonalcoholic steatohepatitis and assessing liver fibrosis: systematic review and meta-analysis. Panminerva Med 2021; 63:508-518. [PMID: 33165307 DOI: 10.23736/s0031-0808.20.04171-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Nonalcoholic steatohepatitis (NASH) is characterized by hepatic steatosis with inflammation, ballooned hepatocytes and possible fibrosis, which may progress to liver cirrhosis. Although liver biopsy, remains the diagnostic gold standard of NASH, several noninvasive biomarkers have been studied, to avoid the need for this invasive procedure. We performed a systematic review with meta-analysis to evaluate the accuracy of several noninvasive biomarkers in predicting NASH and assessing liver fibrosis in NASH patients. EVIDENCE ACQUISITION An electronic search on PubMed and Embase was systematically performed. The principal summary outcome was the area under the curve (AUC), assessing the accuracy of NashTest, BARD (Body Mass Index, AST/ALT ratio, diabetes) score, NAFLD fibrosis score (NFS), APRI (aspartate aminotransferase-to-Platelet Ratio Index), and Fibrosis-4 (FIB-4) Index in predicting NASH and assessing liver fibrosis. EVIDENCE SYNTHESIS Thirteen studies involving 6557 adult patients were included in the qualitative assessment of this review, out of which, six studies were included in the quantitative assessment. Prediction of NASH was evaluated better using NFS (AUC of 0.687) and FIB-4 (AUC of 0.729). Fibrosis stages 0 vs. 1-4 was diagnosed better using NFS (AUC of 0.718) and FIB-4 (AUC of 0.723). Advanced fibrosis was assessed better by BARD (AUC of 0.673), APRI (AUC of 0.762), NFS (AUC of 0.787) and FIB-4 (AUC of 0.821). CONCLUSIONS FIB-4 predicted NASH and quantified liver fibrosis, stages 0 vs. 1-4 more precisely compared to NFS, APRI, and BARD. However, considering that methodological quality of the assessed studies is limited, the results should be considered with caution.
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Affiliation(s)
- Abdulrahman Ismaiel
- Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Daniel-Corneliu Leucuta
- Department of Medical Informatics and Biostatistics, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania -
| | - Stefan-Lucian Popa
- Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Sharmila Fagoonee
- Institute for Biostructure and Bioimaging, National Research Council, Molecular Biotechnology Center, Turin, Italy
| | | | - Ludovico Abenavoli
- Department of Health Sciences, Magna Graecia University, Catanzaro, Italy
| | - Dan L Dumitrascu
- Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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7
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Shen D, Hu W, Zhao S, Mao C. Rapid Naked-Eye Detection of a Liver Disease Biomarker by Discovering Its Monoclonal Antibody to Functionalize Engineered Red-Colored Bacteria Probes. ACS OMEGA 2021; 6:32005-32010. [PMID: 34870023 PMCID: PMC8637970 DOI: 10.1021/acsomega.1c04779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/09/2021] [Indexed: 06/13/2023]
Abstract
Glycocholic acid (GCA) is a biomarker for liver diseases, but few facile naked-eye detection methods have been reported to detect it till now. To tackle this challenge, we first prepared a novel monoclonal mouse antibody (mAb) of GCA by a hybridoma technique. The anti-GCA mAb exhibited high specificity, making its cross-reactivity with seven structurally and functionally related GCA analogs negligible. Using this anti-GCA mAb and an engineered red-colored bacterial strain (Staphylococcus aureus, S. aureus), we developed a simple naked-eye visualized method for GCA detection. Toward this goal, S. aureus bacteria were turned red by 5-cyano-2,3-ditolyl tetrazolium chloride treatment and heat treated to an unculturable state, rendering the bacteria as an optical detection probe powerful in in vitro diagnostics. Through the natural binding ability of protein A on the surface of S. aureus and the Fc fragment of a mouse antibody, the anti-GCA antibody was simply conjugated onto S. aureus. Then, the engineered S. aureus served as a red-colored bioprobe for detecting GCA through a coagglutination test. In the presence of GCA, the bioprobes aggregated into dense red-colored eye-visible clusters, enabling the sensitive detection of GCA with a concentration of 0.05-0.10 μg/mL. This naked-eye visualization method only takes a few minutes to detect GCA and avoids the use of expensive equipment. It represents a rapid, convenient, and simple method for detecting GCA to diagnose liver diseases.
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Affiliation(s)
- Ding Shen
- Department
of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical
Sciences, Guangdong University of Technology, Guangzhou 510006, China
- Department
of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, 101 Stephenson Parkway, Room 3310, Norman, Oklahoma 73019-5300, United States
| | - Wei Hu
- The
People’s Hospital of China Three Gorges University the First
People’s Hospital of Yichang, Yichang, Hubei 443000, China
- Department
of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, 101 Stephenson Parkway, Room 3310, Norman, Oklahoma 73019-5300, United States
| | - Suqing Zhao
- Department
of Pharmaceutical Engineering, School of Biomedical and Pharmaceutical
Sciences, Guangdong University of Technology, Guangzhou 510006, China
| | - Chuanbin Mao
- Department
of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, 101 Stephenson Parkway, Room 3310, Norman, Oklahoma 73019-5300, United States
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8
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Investigation of the relationship between CTLA4 and the tumor suppressor RASSF1A and the possible mediating role of STAT4 in a cohort of Egyptian patients infected with hepatitis C virus with and without hepatocellular carcinoma. Arch Virol 2021; 166:1643-1651. [PMID: 33796885 DOI: 10.1007/s00705-021-04981-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 12/19/2020] [Indexed: 12/17/2022]
Abstract
The Ras association domain family 1 isoform A (RASSF1A), cytotoxic T lymphocyte antigen 4 (CTLA-4), and signal transducer and activator of transcription 4 (STAT4) genes play a role in regulating the cell cycle, apoptosis, and the autoimmune response against cancer. We investigated the genotype frequency and the possible association of the rs2073498 (RASSF1A), rs5742909 (CTLA-4) and rs7574865 (STAT4) genetic variants with hepatitis C virus (HCV)-G4-mediated hepatocellular carcinoma (HCC) progression in Egyptian patients. Fifty patients with HCV infection, 50 patients with HCV-mediated HCC, and 50 age- and sex-matched healthy controls were recruited. The investigated variants were genotyped based on polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP). The Ser133 mutant G4 variant of the rs2073498 SNP in RASSF1A exhibited a positive correlation with HCC incidence risk (OR = 0.571, 95% CI = 0.175-1.865, P < 0.001). The rs7574865 variant in STAT4 (G/T) occurred frequently in both HCV groups, with a significant incidence risk (OR = 1.583, 95% CI = 1.123-2.232, P = 0.005). The rs5742909 change in CTLA4 (C/T) did not show a significant difference between HCV-mediated HCC cases and the control group (OR = 4.5, 95% CI = 1.326-15.277, P > 0.001). Activation of the immune checkpoint gene CTLA4 or polymorphism in the encoded CTLA4 protein causes phosphorylation of kinases needed for RAS gene activation. This in turn downregulates the tumor suppressor RASSF1, inhibiting apoptosis and leading to HCC development, indicating a negative impact of CTLA4 gene polymorphism on HCV-mediated HCC cases. A major determinant of disease progression could be immune system genetic variants, together with the presence of costimulatory factors. The rs2073498 and rs7574865 variations in the RASSF1A and STAT4 genes, respectively, could be genetic susceptibility factors for Egyptian patients with HCV-mediated HCC.
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dos Santos Ferreira D, Arora G, Gieseck RL, Rotile NJ, Waghorn PA, Tanabe KK, Wynn TA, Caravan P, Fuchs BC. Molecular Magnetic Resonance Imaging of Liver Fibrosis and Fibrogenesis Is Not Altered by Inflammation. Invest Radiol 2021; 56:244-251. [PMID: 33109919 PMCID: PMC7956154 DOI: 10.1097/rli.0000000000000737] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
METHODS Three groups of mice that develop either mild type 2 inflammation and fibrosis (wild type), severe fibrosis with exacerbated type 2 inflammation (Il10-/-Il12b-/-Il13ra2-/-), or minimal fibrosis with marked type 1 inflammation (Il4ra∂/∂) after infection with S. mansoni were imaged using both probes for determination of signal enhancement. Schistosoma mansoni-infected wild-type mice developed chronic liver fibrosis. RESULTS The liver MR signal enhancement after either probe administration was significantly higher in S. mansoni-infected wild-type mice compared with naive animals. The S. mansoni-infected Il4ra∂/∂ mice presented with little liver signal enhancement after probe injection despite the presence of substantial inflammation. Schistosoma mansoni-infected Il10-/-Il12b-/-Il13ra2-/- mice presented with marked fibrosis, which correlated to increased signal enhancement after injection of either probe. CONCLUSIONS Both MR probes, EP-3533 and Gd-Hyd, were specific for fibrosis in this model of chronic liver disease regardless of the presence or severity of the underlying inflammation. These results, in addition to previous findings, show the potential application of both molecular MR probes for detection and quantification of fibrosis from various etiologies.
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Affiliation(s)
- Diego dos Santos Ferreira
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
| | - Gunisha Arora
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114 USA
| | - Richard L. Gieseck
- Laboratory of Parasitic Disease, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 5601 Fishers Ln, Bethesda, MD, 20892, United States
| | - Nicholas J. Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
| | - Philip A. Waghorn
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
| | - Kenneth K. Tanabe
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114 USA
| | - Thomas A. Wynn
- Laboratory of Parasitic Disease, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 5601 Fishers Ln, Bethesda, MD, 20892, United States
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
- The Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Boston, MA 02129 USA
| | - Bryan C. Fuchs
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114 USA
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10
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Quantitative, noninvasive MRI characterization of disease progression in a mouse model of non-alcoholic steatohepatitis. Sci Rep 2021; 11:6105. [PMID: 33731798 PMCID: PMC7971064 DOI: 10.1038/s41598-021-85679-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 02/28/2021] [Indexed: 12/17/2022] Open
Abstract
Non-alcoholic steatohepatitis (NASH) is an increasing cause of chronic liver disease characterized by steatosis, inflammation, and fibrosis which can lead to cirrhosis, hepatocellular carcinoma, and mortality. Quantitative, noninvasive methods for characterizing the pathophysiology of NASH at both the preclinical and clinical level are sorely needed. We report here a multiparametric magnetic resonance imaging (MRI) protocol with the fibrogenesis probe Gd-Hyd to characterize fibrotic disease activity and steatosis in a common mouse model of NASH. Mice were fed a choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD) to induce NASH with advanced fibrosis. Mice fed normal chow and CDAHFD underwent MRI after 2, 6, 10 and 14 weeks to measure liver T1, T2*, fat fraction, and dynamic T1-weighted Gd-Hyd enhanced imaging of the liver. Steatosis, inflammation, and fibrosis were then quantified by histology. NASH and fibrosis developed quickly in CDAHFD fed mice with strong correlation between morphometric steatosis quantification and liver fat estimated by MRI (r = 0.90). Sirius red histology and collagen quantification confirmed increasing fibrosis over time (r = 0.82). Though baseline T1 and T2* measurements did not correlate with fibrosis, Gd-Hyd signal enhancement provided a measure of the extent of active fibrotic disease progression and correlated strongly with lysyl oxidase expression. Gd-Hyd MRI accurately detects fibrogenesis in a mouse model of NASH with advanced fibrosis and can be combined with other MR measures, like fat imaging, to more accurately assess disease burden.
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11
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Wei W, Li D, Cai X, Liu Z, Bai Z, Xiao J. Peptide Probes with Aromatic Residues Tyr and Phe at the X Position Show High Specificity for Targeting Denatured Collagen in Tissues. ACS OMEGA 2020; 5:33075-33082. [PMID: 33403269 PMCID: PMC7774067 DOI: 10.1021/acsomega.0c04684] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/30/2020] [Indexed: 06/12/2023]
Abstract
The construction of potent peptide probes for selectively detecting denatured collagen is crucial for a variety of widespread diseases. However, all of the denatured collagen-targeting peptide probes found till date primarily utilized the repetitive (Gly-X-Y) n sequences with exclusively imino acids Pro and Hyp in the X and Y positions, which stabilized the triple helical conformation of the peptide probes, resulting in severe obstacles for their clinical applications. A novel series of peptide probes have been constructed by incorporating nonimino acids at the X position of the (GPO)3GXO(GPO)4 sequence, while the X-site residue is varied as Tyr, Phe, Asp, and Ala, respectively. Peptide probes FAM-GYO and FAM-GFO containing aromatic residues Tyr and Phe at the X position showed similarly high binding affinity and tissue-staining efficacy as the well-established peptide probe FAM-GPO, while peptide probes FAM-GDO and FAM-GAO with the corresponding charged residue Asp and the hydrophobic residue Ala indicated much weaker binding affinity and tissue-staining capability. Furthermore, FAM-GYO and FAM-GFO could specifically detect denatured collagen in different types of mouse connective tissues and efficiently stain various human pathological tissues. We have revealed for the first time that the incorporation of nonimino acids, particularly aromatic residues at the X and Y positions of the repetitive (Gly-X-Y) n sequences, may provide a convenient strategy to create novel robust collagen-targeting peptide probes, which have promising diagnostic applications in collagen-involved diseases.
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Affiliation(s)
- Wenyu Wei
- State Key Laboratory
of Applied Organic Chemistry, Key Laboratory of Nonferrous Metal Chemistry
and Resources Utilization of Gansu Province, College of Chemistry
and Chemical Engineering, Lanzhou University, Lanzhou 730000, P. R. China
| | - Dongfang Li
- State Key Laboratory
of Applied Organic Chemistry, Key Laboratory of Nonferrous Metal Chemistry
and Resources Utilization of Gansu Province, College of Chemistry
and Chemical Engineering, Lanzhou University, Lanzhou 730000, P. R. China
| | - Xiangdong Cai
- State Key Laboratory
of Applied Organic Chemistry, Key Laboratory of Nonferrous Metal Chemistry
and Resources Utilization of Gansu Province, College of Chemistry
and Chemical Engineering, Lanzhou University, Lanzhou 730000, P. R. China
| | - Zhao Liu
- State Key Laboratory
of Applied Organic Chemistry, Key Laboratory of Nonferrous Metal Chemistry
and Resources Utilization of Gansu Province, College of Chemistry
and Chemical Engineering, Lanzhou University, Lanzhou 730000, P. R. China
| | - Zhongtian Bai
- The Second Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Jianxi Xiao
- State Key Laboratory
of Applied Organic Chemistry, Key Laboratory of Nonferrous Metal Chemistry
and Resources Utilization of Gansu Province, College of Chemistry
and Chemical Engineering, Lanzhou University, Lanzhou 730000, P. R. China
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12
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Wei W, Li D, Cai X, Liu Z, Bai Z, Xiao J. Highly specific recognition of denatured collagen by fluorescent peptide probes with the repetitive Gly-Pro-Pro and Gly-Hyp-Hyp sequences. J Mater Chem B 2020; 8:10093-10100. [PMID: 32935727 DOI: 10.1039/d0tb01691h] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Denatured collagen is a key biomarker for various critical diseases such as cancer. Peptide probes with the repetitive (Gly-Pro-Hyp)n sequences have recently been found to selectively target denatured collagen; however, thermal or UV pretreatment is required to drive the peptides into the monomer conformation, which poses a substantial challenge for clinical applications. We herein construct two peptide probes, FAM-GOO and FAM-GPP, consisting of the repetitive (Gly-Hyp-Hyp)8 and (Gly-Pro-Pro)8 sequences, respectively. The CD, fluorescence and colorimetric studies have consistently revealed that FAM-GOO showed strong capability of forming the triple helical structure, while FAM-GPP pronouncedly displayed the single stranded conformation at temperatures as low as 4 °C. The binding experiments have indicated that both peptide probes could recognize denatured collagen with high specificity, and FAM-GPP remarkably did not need the preheating treatment. The tissue staining results have shown that preheated FAM-GOO and unheated FAM-GPP could target denatured collagen in a wide variety of rat frozen and human FFPE tissue sections. Compared with antibodies specific for a certain type of collagen, both FAM-GOO and FAM-GPP act as broad-spectrum probes for the selective detection of denatured collagen of different types and from different species. Importantly, FAM-GPP possessed the unique capability of maintaining the monomer conformation by itself, thus avoiding the potential risks of the thermal or UV pretreatment. This novel peptide probe provides a handy and versatile biosensor for specifically targeting denatured collagen, which has attractive potential in the diagnosis and therapeutics of collagen-involved diseases.
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Affiliation(s)
- Wenyu Wei
- State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metal Chemistry and Resources Utilization of Gansu Province, College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, P. R. China.
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13
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Adhyatmika A, Beljaars L, Putri KSS, Habibie H, Boorsma CE, Reker-Smit C, Luangmonkong T, Guney B, Haak A, Mangnus KA, Post E, Poelstra K, Ravnskjaer K, Olinga P, Melgert BN. Osteoprotegerin is More than a Possible Serum Marker in Liver Fibrosis: A Study into its Function in Human and Murine Liver. Pharmaceutics 2020; 12:pharmaceutics12050471. [PMID: 32455750 PMCID: PMC7284440 DOI: 10.3390/pharmaceutics12050471] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/19/2020] [Accepted: 05/19/2020] [Indexed: 12/17/2022] Open
Abstract
Osteoprotegerin (OPG) serum levels are associated with liver fibrogenesis and have been proposed as a biomarker for diagnosis. However, the source and role of OPG in liver fibrosis are unknown, as is the question of whether OPG expression responds to treatment. Therefore, we aimed to elucidate the fibrotic regulation of OPG production and its possible function in human and mouse livers. OPG levels were significantly higher in lysates of human and mouse fibrotic livers compared to healthy livers. Hepatic OPG expression localized in cirrhotic collagenous bands in and around myofibroblasts. Single cell sequencing of murine liver cells showed hepatic stellate cells (HSC) to be the main producers of OPG in healthy livers. Using mouse precision-cut liver slices, we found OPG production induced by transforming growth factor β1 (TGFβ1) stimulation. Moreover, OPG itself stimulated expression of genes associated with fibrogenesis in liver slices through TGFβ1, suggesting profibrotic activity of OPG. Resolution of fibrosis in mice was associated with decreased production of OPG compared to ongoing fibrosis. OPG may stimulate fibrogenesis through TGFβ1 and is associated with the degree of fibrogenesis. It should therefore be investigated further as a possible drug target for liver fibrosis or biomarker for treatment success of novel antifibrotics.
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Affiliation(s)
- Adhyatmika Adhyatmika
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
- Department of Pharmaceutics, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta 55281, Indonesia
| | - Leonie Beljaars
- Department of Pharmaceutical Technology and Biopharmacy, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (L.B.); (K.S.S.P.); (T.L.); (P.O.)
| | - Kurnia S. S. Putri
- Department of Pharmaceutical Technology and Biopharmacy, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (L.B.); (K.S.S.P.); (T.L.); (P.O.)
- Faculty of Pharmacy, University of Indonesia, Depok 16424, Indonesia
| | - Habibie Habibie
- Department of Molecular Pharmacology, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands;
- Faculty of Pharmacy, Hasanuddin University, Makassar 90245, Indonesia
- Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
| | - Carian E. Boorsma
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
| | - Catharina Reker-Smit
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
| | - Theerut Luangmonkong
- Department of Pharmaceutical Technology and Biopharmacy, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (L.B.); (K.S.S.P.); (T.L.); (P.O.)
- Faculty of Pharmacy, Mahidol University, Bangkok 73170, Thailand
| | - Burak Guney
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
| | - Axel Haak
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
| | - Keri A. Mangnus
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
| | - Eduard Post
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
| | - Klaas Poelstra
- Department of Pharmacokinetics, Toxicology, and Targeting, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (A.A.); (C.E.B.); (C.R.-S.); (B.G.); (A.H.); (K.A.M.); (E.P.); (K.P.)
| | - Kim Ravnskjaer
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, DK-5230 M Odense M, Denmark;
| | - Peter Olinga
- Department of Pharmaceutical Technology and Biopharmacy, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands; (L.B.); (K.S.S.P.); (T.L.); (P.O.)
| | - Barbro N. Melgert
- Department of Molecular Pharmacology, Groningen Research Institute for Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands;
- Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, 9713 GZ Groningen, The Netherlands
- Correspondence:
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14
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Zhou IY, Clavijo Jordan V, Rotile NJ, Akam E, Krishnan S, Arora G, Krishnan H, Slattery H, Warner N, Mercaldo N, Farrar CT, Wellen J, Martinez R, Schlerman F, Tanabe KK, Fuchs BC, Caravan P. Advanced MRI of Liver Fibrosis and Treatment Response in a Rat Model of Nonalcoholic Steatohepatitis. Radiology 2020; 296:67-75. [PMID: 32343209 DOI: 10.1148/radiol.2020192118] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background Liver biopsy is the reference standard to diagnose nonalcoholic steatohepatitis (NASH) but is invasive with potential complications. Purpose To evaluate molecular MRI with type 1 collagen-specific probe EP-3533 and allysine-targeted fibrogenesis probe Gd-Hyd, MR elastography, and native T1 to characterize fibrosis and to assess treatment response in a rat model of NASH. Materials and Methods MRI was performed prospectively (June-November 2018) in six groups of male Wistar rats (a) age- and (b) weight-matched animals received standard chow (n = 12 per group); (c) received choline-deficient, l-amino acid-defined, high-fat diet (CDAHFD) for 6 weeks or (d) 9 weeks (n = 8 per group); (e) were fed 6 weeks of CDAHFD and switched to standard chow for 3 weeks (n = 12); (f) were fed CDAHFD for 9 weeks with daily treatment of elafibranor beginning at week 6 (n = 14). Differences in imaging measurements and tissue analyses among groups were tested with one-way analysis of variance. The ability of each imaging measurement to stage fibrosis was quantified by using area under the receiver operating characteristic curve (AUC) with quantitative digital pathology (collagen proportionate area [CPA]) as reference standard. Optimal cutoff values for distinguishing advanced fibrosis were used to assess treatment response. Results AUC for distinguishing fibrotic (CPA >4.8%) from nonfibrotic (CPA ≤4.8%) livers was 0.95 (95% confidence interval [CI]: 0.91, 1.00) for EP-3533, followed by native T1, Gd-Hyd, and MR elastography with AUCs of 0.90 (95% CI: 0.83, 0.98), 0.84 (95% CI: 0.74, 0.95), and 0.65 (95% CI: 0.51, 0.79), respectively. AUCs for discriminating advanced fibrosis (CPA >10.3%) were 0.86 (95% CI: 0.76, 0.97), 0.96 (95% CI: 0.90, 1.01), 0.84 (95% CI: 0.70, 0.98), and 0.74 (95% CI: 0.63, 0.86) for EP-3533, Gd-Hyd, MR elastography, and native T1, respectively. Gd-Hyd MRI had the highest accuracy (24 of 26, 92%; 95% CI: 75%, 99%) in identifying responders and nonresponders in the treated groups compared with MR elastography (23 of 26, 88%; 95% CI: 70%, 98%), EP-3533 (20 of 26, 77%; 95% CI: 56%, 91%), and native T1 (14 of 26, 54%; 95% CI: 33%, 73%). Conclusion Collagen-targeted molecular MRI most accurately detected early onset of fibrosis, whereas the fibrogenesis probe Gd-Hyd proved most accurate for detecting treatment response. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Iris Y Zhou
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Veronica Clavijo Jordan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Nicholas J Rotile
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Eman Akam
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Smitha Krishnan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Gunisha Arora
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Hema Krishnan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Hannah Slattery
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Noah Warner
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Nathaniel Mercaldo
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Christian T Farrar
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Jeremy Wellen
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Robert Martinez
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Franklin Schlerman
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Kenneth K Tanabe
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Bryan C Fuchs
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Peter Caravan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
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15
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Salarian M, Turaga RC, Xue S, Nezafati M, Hekmatyar K, Qiao J, Zhang Y, Tan S, Ibhagui OY, Hai Y, Li J, Mukkavilli R, Sharma M, Mittal P, Min X, Keilholz S, Yu L, Qin G, Farris AB, Liu ZR, Yang JJ. Early detection and staging of chronic liver diseases with a protein MRI contrast agent. Nat Commun 2019; 10:4777. [PMID: 31664017 PMCID: PMC6820552 DOI: 10.1038/s41467-019-11984-2] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 08/08/2019] [Indexed: 12/21/2022] Open
Abstract
Early diagnosis and noninvasive detection of liver fibrosis and its heterogeneity remain as major unmet medical needs for stopping further disease progression toward severe clinical consequences. Here we report a collagen type I targeting protein-based contrast agent (ProCA32.collagen1) with strong collagen I affinity. ProCA32.collagen1 possesses high relaxivities per particle (r1 and r2) at both 1.4 and 7.0 T, which enables the robust detection of early-stage (Ishak stage 3 of 6) liver fibrosis and nonalcoholic steatohepatitis (Ishak stage 1 of 6 or 1 A Mild) in animal models via dual contrast modes. ProCA32.collagen1 also demonstrates vasculature changes associated with intrahepatic angiogenesis and portal hypertension during late-stage fibrosis, and heterogeneity via serial molecular imaging. ProCA32.collagen1 mitigates metal toxicity due to lower dosage and strong resistance to transmetallation and unprecedented metal selectivity for Gd3+ over physiological metal ions with strong translational potential in facilitating effective treatment to halt further chronic liver disease progression. Non-invasive early diagnosis of liver fibrosis is important to prevent disease progression and direct treatment strategies. Here the authors developed a collagen-targeting contrast agent for the detection of early stage fibrosis and non-alcoholic steatohepatitis by magnetic resonance and tested it in animal models.
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Affiliation(s)
- Mani Salarian
- Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA
| | - Ravi Chakra Turaga
- Department of Biology, Georgia State University, Atlanta, GA, 30303, USA
| | - Shenghui Xue
- Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA
| | - Maysam Nezafati
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, 30322, USA
| | - Khan Hekmatyar
- Bioimaging Research Center, University of Georgia, Athens, GA, 30602, USA
| | - Jingjuan Qiao
- Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA
| | - Yinwei Zhang
- Department of Biology, Georgia State University, Atlanta, GA, 30303, USA
| | - Shanshan Tan
- Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA
| | | | - Yan Hai
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA
| | - Jibiao Li
- Center for Molecular and Translational Medicine, Georgia State University, Atlanta, GA, 30303, USA
| | - Rao Mukkavilli
- Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, GA, 30303, USA
| | - Malvika Sharma
- Department of Biology, Georgia State University, Atlanta, GA, 30303, USA
| | - Pardeep Mittal
- Medical College of Georgia, Augusta University, Augusta, 30912, Georgia
| | - Xiaoyi Min
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA
| | - Shella Keilholz
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, 30322, USA
| | - Liqing Yu
- Center for Molecular and Translational Medicine, Georgia State University, Atlanta, GA, 30303, USA
| | - Gengshen Qin
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA
| | - Alton Brad Farris
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, 30307, USA
| | - Zhi-Ren Liu
- Department of Biology, Georgia State University, Atlanta, GA, 30303, USA.,Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, GA, 30303, USA
| | - Jenny J Yang
- Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA. .,Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, GA, 30303, USA.
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16
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Lambrecht J, Verhulst S, Mannaerts I, Sowa JP, Best J, Canbay A, Reynaert H, van Grunsven LA. A PDGFRβ-based score predicts significant liver fibrosis in patients with chronic alcohol abuse, NAFLD and viral liver disease. EBioMedicine 2019; 43:501-512. [PMID: 31036530 PMCID: PMC6558023 DOI: 10.1016/j.ebiom.2019.04.036] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 04/18/2019] [Accepted: 04/18/2019] [Indexed: 12/15/2022] Open
Abstract
Background Platelet Derived Growth Factor Receptor beta (PDGFRβ) has been associated to hepatic stellate cell activation and has been the target of multiple therapeutic studies. However, little is known concerning its use as a diagnostic agent. Methods Circulating PDGFRβ levels were analysed in a cohort of patients with liver fibrosis/cirrhosis due to chronic alcohol abuse, viral hepatitis, or non-alcoholic fatty liver disease (NAFLD). The diagnostic performance of PDGFRβ as individual blood parameter, or in combination with other metabolic factors was evaluated. Findings sPDGFRβ levels are progressively increased with increasing fibrosis stage and the largest difference was observed in patients with significant fibrosis, compared to no or mild fibrosis. The accuracy of sPDGFRβ-levels predicting fibrosis could be increased by combining it with albumin levels and platelet counts into a novel diagnostic algorithm, the PRTA-score, generating a predictive value superior to Fib-4, APRI, and AST/ALT. The sPDGFRβ levels and the PRTA-score are independent of liver disease aetiology, thus overcoming one of the major weaknesses of current non-invasive clinical and experimental scores. Finally, we confirmed the diagnostic value of sPDGFRβ levels and the PRTA-score in an independent patient cohort with NAFLD which was staged for fibrosis by liver biopsy. Interpretation The PRTA-score is an accurate tool for detecting significant liver fibrosis in a broad range of liver disease aetiologies. Fund Vrije Universiteit Brussel, the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Flanders) (HILIM-3D; SBO140045), and the Fund of Scientific Research Flanders (FWO).
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Affiliation(s)
- Joeri Lambrecht
- Department of Basic (Bio-)medical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium
| | - Stefaan Verhulst
- Department of Basic (Bio-)medical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium
| | - Inge Mannaerts
- Department of Basic (Bio-)medical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jan-Peter Sowa
- Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Magdeburg, Magdeburg, Germany
| | - Jan Best
- Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Magdeburg, Magdeburg, Germany
| | - Ali Canbay
- Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Magdeburg, Magdeburg, Germany
| | - Hendrik Reynaert
- Department of Basic (Bio-)medical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium; Department of Gastroenterology and Hepatology, University Hospital Brussels (UZBrussel), Brussels, Belgium
| | - Leo A van Grunsven
- Department of Basic (Bio-)medical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
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17
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Roncero C, Ryan P, Littlewood R, Macías J, Ruiz J, Seijo P, Palma-Álvarez RF, Vega P. Practical steps to improve chronic hepatitis C treatment in people with opioid use disorder. Hepat Med 2018; 11:1-11. [PMID: 30613166 PMCID: PMC6307489 DOI: 10.2147/hmer.s187133] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES People with a history of injecting drugs have high prevalence of hepatitis C virus (HCV) infection, and many have opioid use disorder (OUD). Modern HCV therapies with improved efficacy and tolerability are available, but access is often limited for this group, who may be underserved for health care and face social inequity. This work develops practical steps to improve HCV care in this population. METHODS Practical steps to improve HCV care in OUD populations were developed based on clinical experience from Spain, structured assessment of published evidence. RESULTS Options for improving care at engagement/screening stages include patient education programs, strong provider-patient relationship, peer support, and adoption of rapid effective screening tools. To facilitate work up/treatment, start options include simplified work up process, integration of HCV and OUD care, and continuous psychosocial support prior, during, and after HCV treatment. CONCLUSION It is important to plan on local basis to set up a joint integrated approach between specific drug treatment services and local points of HCV care. The elements for a specific integrated program should be chosen from options identified, including education services, peer input, organization to make HCV screening and treatment easier by co-location of services, and wider access to prescribing direct-acting antiviral (DAA) therapy.
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Affiliation(s)
- Carlos Roncero
- Psychiatric Service, University of Salamanca Health Care Complex, Institute of Biomedicine of Salamanca, University of Salamanca, Salamanca, Spain,
| | - Pablo Ryan
- Internal Medicine Service, University Hospital Infanta Leonor, Madrid, Spain
- School of Medicine, Complutense University of Madrid, Madrid, Spain
- Gregorio Marañón Health Research Institute, Madrid, Spain
| | | | - Juan Macías
- Department of Infectious Diseases and Microbiology, Valme University Hospital, Seville, Spain
| | - Juan Ruiz
- Provincial Center of Drug Addiction, Malaga, Spain
| | - Pedro Seijo
- Addiction Treatment Center of Villamartín, Cádiz, Spain
| | - Raúl Felipe Palma-Álvarez
- Addiction and Dual Diagnosis Unit, Vall Hebron University Hospital, Barcelona, Spain
- Psychiatry Service, Biomedical Research Networking Center for Mental Health Network, Vall Hebron University Hospital, Barcelona, Spain
- Autonomous University of Barcelona, Barcelona, Spain
| | - Pablo Vega
- Spanish Society of Dual Diagnosis, Bilbao, Spain
- Institute of Addictions, Madrid, Spain
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18
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Herrera VLM, Colby AH, Ruiz-Opazo N, Coleman DG, Grinstaff MW. Nucleic acid nanomedicines in Phase II/III clinical trials: translation of nucleic acid therapies for reprogramming cells. Nanomedicine (Lond) 2018; 13:2083-2098. [PMID: 30204054 PMCID: PMC6219437 DOI: 10.2217/nnm-2018-0122] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 06/14/2018] [Indexed: 01/01/2023] Open
Abstract
This review presents an integrated analysis of the current-state-of-the-art in nucleic acid nanotherapies and highlights the importance of nanotechnology in the delivery of nucleic acid therapies. While there is no one dominant nanodesign, the diversity of nanodesigns and delivery of different siRNAs, miRNA and DNA to inhibit more than 20 targets in seven disease states in Phase II/III clinical trials reflects the potential of nucleic acid therapies to treat intractable diseases and non-druggable targets. We provide benchmarks to aid in comparing the design, proof-of-concept studies and clinical trials. From this, we demonstrate the importance of generating a strategic framework for integrating clinical 'wish lists' for a means to treat intractable diseases with engineering 'design checklists' for nucleic acid nanotherapies.
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Affiliation(s)
- Victoria LM Herrera
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
- Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA 02118, USA
| | - Aaron H Colby
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Nelson Ruiz-Opazo
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
- Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA 02118, USA
| | - David G Coleman
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Mark W Grinstaff
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Department of Chemistry, Boston University, Boston, MA 02215, USA
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19
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Erstad DJ, Farrar CT, Ghoshal S, Masia R, Ferreira DS, Chen YCI, Choi JK, Wei L, Waghorn PA, Rotile NJ, Tu C, Graham-O'Regan KA, Sojoodi M, Li S, Li Y, Wang G, Corey KE, Or YS, Jiang L, Tanabe KK, Caravan P, Fuchs BC. Molecular magnetic resonance imaging accurately measures the antifibrotic effect of EDP-305, a novel farnesoid X receptor agonist. Hepatol Commun 2018; 2:821-835. [PMID: 30027140 PMCID: PMC6049071 DOI: 10.1002/hep4.1193] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 02/21/2018] [Accepted: 04/04/2018] [Indexed: 12/13/2022] Open
Abstract
We examined a novel farnesoid X receptor agonist, EDP-305, for its antifibrotic effect in bile duct ligation (BDL) and choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD) models of hepatic injury. We used molecular magnetic resonance imaging with the type 1 collagen-binding probe EP-3533 and the oxidized collagen-specific probe gadolinium hydrazide to noninvasively measure treatment response. BDL rats (n = 8 for each group) were treated with either low or high doses of EDP-305 starting on day 4 after BDL and were imaged on day 18. CDAHFD mice (n = 8 for each group) were treated starting at 6 weeks after the diet and were imaged at 12 weeks. Liver tissue was subjected to pathologic and morphometric scoring of fibrosis, hydroxyproline quantitation, and determination of fibrogenic messenger RNA expression. High-dose EDP-305 (30 mg/kg) reduced liver fibrosis in both the BDL and CDAHFD models as measured by collagen proportional area, hydroxyproline analysis, and fibrogenic gene expression (all P < 0.05). Magnetic resonance signal intensity with both EP-3533 in the BDL model and gadolinium hydrazide in the CDAHFD model was reduced with EDP-305 30 mg/kg treatment (P < 0.01). Histologically, EDP-305 30 mg/kg halted fibrosis progression in the CDAHFD model. Conclusion: EDP-305 reduced fibrosis progression in rat BDL and mouse CDAHFD models. Molecular imaging of collagen and oxidized collagen is sensitive to changes in fibrosis and could be used to noninvasively measure treatment response in clinical trials. (Hepatology Communications 2018;2:821-835).
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Affiliation(s)
- Derek J Erstad
- Division of Surgical Oncology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Christian T Farrar
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Sarani Ghoshal
- Division of Surgical Oncology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Ricard Masia
- Department of Pathology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Diego S Ferreira
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Yin-Ching Iris Chen
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Ji-Kyung Choi
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Lan Wei
- Division of Surgical Oncology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Phillip A Waghorn
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Nicholas J Rotile
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Chuantao Tu
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Katherine A Graham-O'Regan
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA
| | - Mozhdeh Sojoodi
- Division of Surgical Oncology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Shen Li
- Division of Surgical Oncology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Yang Li
- Enanta Pharmaceuticals Watertown MA
| | | | - Kathleen E Corey
- Department of Medicine, Massachusetts General Hospital Harvard Medical School Boston MA
| | | | | | - Kenneth K Tanabe
- Division of Surgical Oncology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Peter Caravan
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School Charlestown MA.,Institute for Innovation in Imaging Massachusetts General Hospital Boston MA
| | - Bryan C Fuchs
- Division of Surgical Oncology, Massachusetts General Hospital Harvard Medical School Boston MA
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20
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Wang YQ, Cao WJ, Gao YF, Ye J, Zou GZ. Serum interleukin-34 level can be an indicator of liver fibrosis in patients with chronic hepatitis B virus infection. World J Gastroenterol 2018; 24:1312-1320. [PMID: 29599606 PMCID: PMC5871826 DOI: 10.3748/wjg.v24.i12.1312] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Revised: 02/11/2018] [Accepted: 02/25/2018] [Indexed: 02/06/2023] Open
Abstract
AIM To investigate whether serum interleukin (IL)-34 levels are correlated with hepatic inflammation and fibrosis in patients with chronic hepatitis B virus (HBV) infection.
METHODS In this study, serum IL-34 levels were assessed by enzyme-linked immunosorbent assay in 19 healthy controls and 175 patients with chronic HBV infection undergoing biopsy. The frequently used serological markers of liver fibrosis were based on laboratory indexes measured at the Clinical Laboratory of the Second Affiliated Hospital of Anhui Medical University. Liver stiffness was detected by transient elastography with FibroTouch. The relationships of non-invasive makers of liver fibrosis and IL-34 levels with inflammation and fibrosis were analyzed. The diagnostic value of IL-34 and other liver fibrosis makers were evaluated using areas under the receiver operating characteristic curves, sensitivity and specificity.
RESULTS Serum IL-34 levels were associated with inflammatory activity in the liver, and IL-34 levels differed among phases of chronic HBV infection (P = 0.001). By comparing serum IL-34 levels among patients with various stages of liver fibrosis determined by liver biopsy, we found that IL-34 levels ≥ 15.83 pg/mL had a high sensitivity of 86.6% and a specificity of 78.7% for identifying severe fibrosis (S3-S4). Furthermore, we showed that IL-34 is superior to the fibrosis-4 score, one of the serum makers of liver fibrosis, in identifying severe liver fibrosis and early cirrhosis in patients with HBV-related liver fibrosis in China.
CONCLUSION Our results indicate that IL-34, a cytokine involved in the induction of activation of profibrogenic macrophages, can be an indicator of liver inflammation and fibrosis in patients with chronic HBV infection.
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Affiliation(s)
- Yin-Qiu Wang
- Department of Infectious Disease, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China
| | - Wen-Jun Cao
- Department of Infectious Disease, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China
| | - Yu-Feng Gao
- Department of Infectious Disease, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China
| | - Jun Ye
- Department of Infectious Disease, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China
| | - Gui-Zhou Zou
- Department of Infectious Disease, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China
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21
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Farrar CT, Gale EM, Kennan R, Ramsay I, Masia R, Arora G, Looby K, Wei L, Kalpathy-Cramer J, Bunzel MM, Zhang C, Zhu Y, Akiyama TE, Klimas M, Pinto S, Diyabalanage H, Tanabe KK, Humblet V, Fuchs BC, Caravan P. CM-101: Type I Collagen-targeted MR Imaging Probe for Detection of Liver Fibrosis. Radiology 2017; 287:581-589. [PMID: 29156148 DOI: 10.1148/radiol.2017170595] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Purpose To evaluate the biodistribution, metabolism, and pharmacokinetics of a new type I collagen-targeted magnetic resonance (MR) probe, CM-101, and to assess its ability to help quantify liver fibrosis in animal models. Materials and Methods Biodistribution, pharmacokinetics, and stability of CM-101 in rats were measured with mass spectrometry. Bile duct-ligated (BDL) and sham-treated rats were imaged 19 days after the procedure by using a 1.5-T clinical MR imaging unit. Mice were treated with carbon tetrachloride (CCl4) or with vehicle two times a week for 10 weeks and were imaged with a 7.0-T preclinical MR imaging unit at baseline and 1 week after the last CCl4 treatment. Animals were imaged before and after injection of 10 µmol/kg CM-101. Change in contrast-to-noise ratio (ΔCNR) between liver and muscle tissue after CM-101 injection was used to quantify liver fibrosis. Liver tissue was analyzed for Sirius Red staining and hydroxyproline content. The institutional subcommittee for research animal care approved all in vivo procedures. Results CM-101 demonstrated rapid blood clearance (half-life = 6.8 minutes ± 2.4) and predominately renal elimination in rats. Biodistribution showed low tissue gadolinium levels at 24 hours (<3.9% injected dose [ID]/g ± 0.6) and 10-fold lower levels at 14 days (<0.33% ID/g ± 12) after CM-101 injection with negligible accumulation in bone (0.07% ID/g ± 0.02 and 0.010% ID/g ± 0.004 at 1 and 14 days, respectively). ΔCNR was significantly (P < .001) higher in BDL rats (13.6 ± 3.2) than in sham-treated rats (5.7 ± 4.2) and in the CCl4-treated mice (18.3 ± 6.5) compared with baseline values (5.2 ± 1.0). Conclusion CM-101 demonstrated fast blood clearance and whole-body elimination, negligible accumulation of gadolinium in bone or tissue, and robust detection of fibrosis in rat BDL and mouse CCl4 models of liver fibrosis. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Christian T Farrar
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Eric M Gale
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Richard Kennan
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Ian Ramsay
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Ricard Masia
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Gunisha Arora
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Kailyn Looby
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Lan Wei
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Jayashree Kalpathy-Cramer
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Michelle M Bunzel
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Chunlian Zhang
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Yonghua Zhu
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Taro E Akiyama
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Michael Klimas
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Shirly Pinto
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Himashinie Diyabalanage
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Kenneth K Tanabe
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Valerie Humblet
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Bryan C Fuchs
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
| | - Peter Caravan
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St, Suite 2301, Charlestown, MA 02129 (C.T.F., E.M.G., I.R., J.K., P.C.); Merck Research Laboratories, Kenilworth, NJ (R.K., M.M.B., C.Z., Y.Z., T.E.A., M.K., S.P.); Collagen Medical, Belmont, Mass (I.R., H.D., V.H.); Departments of Pathology (R.M.) and Surgical Oncology (G.A., K.L., L.W., K.K.T., B.C.F.), Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, Mass; and Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Mass (P.C.)
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Imaging biomarkers in liver fibrosis. RADIOLOGIA 2017; 60:74-84. [PMID: 29108657 DOI: 10.1016/j.rx.2017.09.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 08/29/2017] [Accepted: 09/03/2017] [Indexed: 02/07/2023]
Abstract
There is a need for early identification of patients with chronic liver diseases due to their increasing prevalence and morbidity-mortality. The degree of liver fibrosis determines the prognosis and therapeutic options in this population. Liver biopsy represents the reference standard for fibrosis staging. However, given its limitations and complications, different non-invasive methods have been developed recently for the in vivo quantification of fibrosis. Due to their precision and reliability, biomarkers' measurements derived from Ultrasound and Magnetic Resonance stand out. This article reviews the different acquisition techniques and image processing methods currently used in the evaluation of liver fibrosis, focusing on their diagnostic performance, applicability and clinical value. In order to properly interpret their results in the appropriate clinical context, it seems necessary to understand the techniques and their quality parameters, the standardization and validation of the measurement units and the quality control of the methodological problems.
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Shaker OG, Senousy MA. Serum microRNAs as predictors for liver fibrosis staging in hepatitis C virus-associated chronic liver disease patients. J Viral Hepat 2017; 24:636-644. [PMID: 28211229 DOI: 10.1111/jvh.12696] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 02/03/2017] [Indexed: 12/21/2022]
Abstract
Accurate staging of liver fibrosis is important for clinical decision making and personalized management. Liver fibrosis is influenced by patients' genomics, including IFNL3 genotype and microRNA expression. However, incorporating microRNAs into fibrosis prediction algorithms has not been investigated. We examined the potential of eight selected serum microRNAs; miR-122, miR-126, miR-129, miR-199a, miR-155, miR-203a, miR-221, and miR-223 as non-invasive biomarkers to stage liver fibrosis in HCV-associated chronic liver disease (HCV-CLD). 145 Egyptian HCV-CLD patients were divided according to Metavir fibrosis scores. MicroRNAs and IFNL3 rs12979860 genotype were assayed by RT-qPCR and allelic discrimination techniques, respectively. Serum miR-122 was downregulated, whereas miR-203a and miR-223 were upregulated in significant fibrosis (≥F2) compared with no/mild fibrosis (F0-F1). Serum miR-126, miR-129, miR-203a, and miR-223 were upregulated in severe fibrosis (≥F3) and cirrhosis (F4) compared with F0-F2 and F0-F3, respectively. miR-221 was upregulated in ≥F3, but unchanged in F4. miR-155, miR-199a, and IFNL3 rs12979860 genotype were not significantly different in all comparisons. Differentially expressed serum microRNAs discriminated ≥F2, ≥F3, and F4 by receiver-operating-characteristic analysis. Multivariate logistic analysis revealed a model combining miR-129, miR-223, AST, and platelet count with high diagnostic accuracy for ≥F3 (AUC=0.91). The model also discriminated F4 (AUC=0.96) and ≥F2 (AUC=0.783), and was superior to APRI and FIB-4 in discriminating ≥F3 and F4, but not ≥F2. In conclusion, combining serum microRNAs with baseline predictors could serve as a new non-invasive algorithm for staging HCV-associated liver fibrosis. Additional studies are required to confirm this model and test its significance in liver fibrosis of other etiologies.
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Affiliation(s)
- O G Shaker
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - M A Senousy
- Biochemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt
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24
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Lievano F, Scarazzini L, Shen F, Duhig J, Jokinen J. The future of safety science is happening now: The modernization of the benefit-risk paradigm. Pharmacoepidemiol Drug Saf 2017; 26:869-874. [DOI: 10.1002/pds.4241] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 04/28/2017] [Accepted: 05/07/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Fabio Lievano
- Pharmacovigilance and Patient Safety; AbbVie Inc.; North Chicago IL USA
| | - Linda Scarazzini
- Pharmacovigilance and Patient Safety; AbbVie Inc.; North Chicago IL USA
| | - Frank Shen
- Pharmacovigilance and Patient Safety; AbbVie Inc.; North Chicago IL USA
| | - James Duhig
- Pharmacovigilance and Patient Safety; AbbVie Inc.; North Chicago IL USA
| | - Jeremy Jokinen
- Pharmacovigilance and Patient Safety; AbbVie Inc.; North Chicago IL USA
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25
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Yang ZX, Liang HY, Hu XX, Huang YQ, Ding Y, Yang S, Zeng MS, Rao SX. Feasibility of histogram analysis of susceptibility-weighted MRI for staging of liver fibrosis. Diagn Interv Radiol 2017; 22:301-7. [PMID: 27113421 DOI: 10.5152/dir.2016.15284] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE We aimed to evaluate whether histogram analysis of susceptibility-weighted imaging (SWI) could quantify liver fibrosis grade in patients with chronic liver disease (CLD). METHODS Fifty-three patients with CLD who underwent multi-echo SWI (TEs of 2.5, 5, and 10 ms) were included. Histogram analysis of SWI images were performed and mean, variance, skewness, kurtosis, and the 1st, 10th, 50th, 90th, and 99th percentiles were derived. Quantitative histogram parameters were compared. For significant parameters, further receiver operating characteristic (ROC) analyses were performed to evaluate the potential diagnostic performance for differentiating liver fibrosis stages. RESULTS The number of patients in each pathologic fibrosis grade was 7, 3, 5, 5, and 33 for F0, F1, F2, F3, and F4, respectively. The results of variance (TE: 10 ms), 90th percentile (TE: 10 ms), and 99th percentile (TE: 10 and 5 ms) in F0-F3 group were significantly lower than in F4 group, with areas under the ROC curves (AUCs) of 0.84 for variance and 0.70-0.73 for the 90th and 99th percentiles, respectively. The results of variance (TE: 10 and 5 ms), 99th percentile (TE: 10 ms), and skewness (TE: 2.5 and 5 ms) in F0-F2 group were smaller than those of F3/F4 group, with AUCs of 0.88 and 0.69 for variance (TE: 10 and 5 ms, respectively), 0.68 for 99th percentile (TE: 10 ms), and 0.73 and 0.68 for skewness (TE: 2.5 and 5 ms, respectively). CONCLUSION Magnetic resonance histogram analysis of SWI, particularly the variance, is promising for predicting advanced liver fibrosis and cirrhosis.
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Affiliation(s)
- Zhao Xia Yang
- Department of Radiology, Zhongshan Hospital of Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China.
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26
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Friedman A, Hao W. Mathematical modeling of liver fibrosis. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2017; 14:143-164. [PMID: 27879125 DOI: 10.3934/mbe.2017010] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Fibrosis is the formation of excessive fibrous connective tissue in an organ or tissue, which occurs in reparative process or in response to inflammation. Fibrotic diseases are characterized by abnormal excessive deposition of fibrous proteins, such as collagen, and the disease is most commonly progressive, leading to organ disfunction and failure. Although fibrotic diseases evolve in a similar way in all organs, differences may occur as a result of structure and function of the specific organ. In liver fibrosis, the gold standard for diagnosis and monitoring the progression of the disease is biopsy, which is invasive and cannot be repeated frequently. For this reason there is currently a great interest in identifying non-invasive biomarkers for liver fibrosis. In this paper, we develop for the first time a mathematical model of liver fibrosis by a system of partial differential equations. We use the model to explore the efficacy of potential and currently used drugs aimed at blocking the progression of liver fibrosis. We also use the model to develop a diagnostic tool based on a combination of two biomarkers.
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Affiliation(s)
- Avner Friedman
- Mathematical Biosciences Institute and Department of Mathematics, The Ohio State University, Columbus, OH 43210, United States.
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27
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Wahyudi H, Reynolds AA, Li Y, Owen SC, Yu SM. Targeting collagen for diagnostic imaging and therapeutic delivery. J Control Release 2016; 240:323-331. [PMID: 26773768 PMCID: PMC4936964 DOI: 10.1016/j.jconrel.2016.01.007] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Revised: 01/05/2016] [Accepted: 01/05/2016] [Indexed: 12/22/2022]
Abstract
As the most abundant protein in mammals and a major structural component in extracellular matrix, collagen holds a pivotal role in tissue development and maintaining the homeostasis of our body. Persistent disruption to the balance between collagen production and degradation can cause a variety of diseases, some of which can be fatal. Collagen remodeling can lead to either an overproduction of collagen which can cause excessive collagen accumulation in organs, common to fibrosis, or uncontrolled degradation of collagen seen in degenerative diseases such as arthritis. Therefore, the ability to monitor the state of collagen is crucial for determining the presence and progression of numerous diseases. This review discusses the implications of collagen remodeling and its detection methods with specific focus on targeting native collagens as well as denatured collagens. It aims to help researchers understand the pathobiology of collagen-related diseases and create novel collagen targeting therapeutics and imaging modalities for biomedical applications.
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Affiliation(s)
- Hendra Wahyudi
- Department of Bioengineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Amanda A Reynolds
- Department of Bioengineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Yang Li
- Department of Bioengineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Shawn C Owen
- Department of Pharmaceutics and Pharmaceutical Chemistry, University of Utah, Salt Lake City, UT 84112, USA
| | - S Michael Yu
- Department of Bioengineering, University of Utah, Salt Lake City, UT 84112, USA.
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28
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Huang H, Wu T, Mao J, Fang Y, Zhang J, Wu L, Zheng S, Lin B, Pan H. CHI3L1 Is a Liver-Enriched, Noninvasive Biomarker That Can Be Used to Stage and Diagnose Substantial Hepatic Fibrosis. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2015; 19:339-45. [PMID: 26415140 PMCID: PMC4486713 DOI: 10.1089/omi.2015.0037] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Liver fibrosis is a major disease that is primarily caused by hepatitis virus infections, toxins, and alcohol abuse. Diagnosing and staging liver fibrosis are critical in guiding the treatment of chronic liver diseases, according to several international and Chinese guidelines. Liver biopsy is the gold standard for diagnosing and staging liver fibrosis, but it is invasive and suffers from several limitations. Consequently, much research has focused on the search for a noninvasive serum biomarker of fibrosis. In this study, we determined that Chitinase 3-like 1 (CHI3L1) is an abundantly expressed liver gene whose expression is highly enriched in the liver. We then compared serum levels of CHI3L1 among patients with various stages of liver fibrosis, as determined by liver biopsies, and found that the CHI3L1 levels were able to differentiate early stages of liver fibrosis (S0-S2) from late stages of liver fibrosis (S3-S4). We further showed that CHI3L1 is a good marker of substantial fibrosis, with areas under the ROC curves (AUCs) of 0.94 for substantial (S2, S3, S4) fibrosis and 0.96 for advanced (S3, S4) fibrosis. Finally, we showed that CHI3L1 is superior to hyaluronic acid (HA), type III procollagen (PCIII), laminin (LN), and type IV collagen (CIV), which are also serum biomarkers of liver fibrosis, in identifying advanced liver fibrosis in patients with HBV-related liver fibrosis in China.
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Affiliation(s)
- Haijun Huang
- Department of Infectious Diseases, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China
| | - Tiangang Wu
- System Biology Division, Zhejiang-California International Nanosystem Institute (ZCNI), Zhejiang University, Hangzhou, Zhejiang, China
| | - Jian Mao
- System Biology Division, Zhejiang-California International Nanosystem Institute (ZCNI), Zhejiang University, Hangzhou, Zhejiang, China
| | - Yongxing Fang
- System Biology Division, Zhejiang-California International Nanosystem Institute (ZCNI), Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiajie Zhang
- Department of Infectious Diseases, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China
| | - Lihua Wu
- The Research Center for Clinical Pharmacy, State Key Laboratory for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Shu Zheng
- The Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Biaoyang Lin
- System Biology Division, Zhejiang-California International Nanosystem Institute (ZCNI), Zhejiang University, Hangzhou, Zhejiang, China
- The Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Urology, University of Washington, Seattle, Washington
| | - Hongying Pan
- Department of Infectious Diseases, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China
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