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Li Y, Yang Y, Zhu L, Xie S, Guo L, Zhang Z, Zhe C, Li W, Liu F. Angelica sinensis polysaccharide facilitates chondrogenic differentiation of adipose-derived stem cells via MDK-PI3K/AKT signaling cascade. Biomed Pharmacother 2024; 179:117349. [PMID: 39191028 DOI: 10.1016/j.biopha.2024.117349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 08/21/2024] [Accepted: 08/22/2024] [Indexed: 08/29/2024] Open
Abstract
OBJECT Adipose-derived mesenchymal stem cells (ADSCs) have received significant attention in the field of cartilage tissue repair. Angelica sinensis polysaccharide (ASP) can enhance both the proliferation and differentiation of mesenchymal stem cells. Therefore, we intend to explore the effect of ASP on chondrogenic differentiation of ADSCs in vitro, and elucidate the underlying mechanisms. METHOD ADSCs were treated with different concentrations of ASP to determine the optimal concentration. The chondrogenic differentiation of ADSCs was evaluated using Alcian blue staining, qRT-PCR, western blot, and IF staining. Transcriptome sequencing was performed to identify the expression profiles of ADSCs before and after ASP treatment, followed by bioinformatic analyses including differential expression analysis, enrichment analysis, and construction of PPI networks to identify differentially expressed genes (DEGs) associated with ASP and chondrogenic differentiation. RESULT Surface markers of isolated rat-derived ADSCs were identified by CD44+CD90+CD45-CD106-, and exhibited the capacity for lipogenic, osteogenic, and chondrogenic differentiation. With increasing concentration of ASP treatment, there was an upregulation in the activity and acidic mucosubstance of ADSCs. The levels of Aggrecan, COL2A1, and Sox9 showed an increase in ADSCs after 28 days of 80 µg/ml ASP treatment. Transcriptome sequencing revealed that ASP-associated DEGs regulate extracellular matrix synthesis, immune response, inflammatory response, and cell cycle, and are involved in the NF-κB, AGE-RAGE, and calcium pathways. Moreover, Edn1, Frzb, Mdk, Nog, and Sulf1 are hub genes in DEGs. Notably, ASP upregulated MDK levels in ADSCs, while knockdown of MDK mitigated ASP-induced elevations in acidic mucosubstance, chondrogenic differentiation-related markers (Aggrecan, COL2A1, and Sox9), and the activity of the PI3K/AKT pathway. CONCLUSION ASP enhances the proliferation and chondrogenic differentiation of ADSCs by activating the MDK-mediated PI3K/AKT pathway.
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Affiliation(s)
- Yangjie Li
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China
| | - Yongqiang Yang
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China
| | - Lina Zhu
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China
| | - Shukang Xie
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China
| | - Ling Guo
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China
| | - Zhiming Zhang
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China
| | - Chunyang Zhe
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China
| | - Wenhui Li
- Kunming Institute of Zoology, Chinese Academy of Sciences, No.17 Longxin Road, Kunming City, Yunnan Province, China
| | - Feng Liu
- Qujing No.1 Hospital, Affiliated Qujing Hospital of Kunming Medical University, No. 1 Yuanlin Road, Qujing City, Yunnan Province, China.
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Yang Y, He H, Dong J, Liu Y, Yang Q, Ai X, Zhu X. Interleukin-26 in channel catfish (Ictalurus punctatus): Molecular characterization and immune functional activity. FISH & SHELLFISH IMMUNOLOGY 2024; 153:109838. [PMID: 39151839 DOI: 10.1016/j.fsi.2024.109838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/07/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
IL-26 is a crucial inflammatory cytokine that participates in defending host cells against infections. We initially cloned and identified the cDNA sequences of interleukin (IL)-26 in channel catfish (Ictalurus punctatus). The open reading frame (ORF) of IpIL-26 was 537 bp in length, encoding 178 amino acids (aa). Constitutive expression of IpIL-26 was observed in tested tissues, with the highest level found in the gill and spleen. To explore the function of IpIL-26 in channel catfish, different stimuli were used to act on both channel catfish and channel catfish kidney cells (CCK). The expression of IpIL-26 could be up-regulated by bacteria and viruses in multiple tissues. In vitro, recombinant IpIL-26 (rIpIL-26) could induce the expression levels of inflammatory cytokines such as TNF-α, IL-1β, IL-6, IL-20, and IL-22 playing vital roles in defending the host against infections. Our results demonstrated that IpIL-26 might be an essential cytokine, significantly affecting the immune defense of channel catfish against pathogen infections.
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Affiliation(s)
- Yibin Yang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
| | - Hao He
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Jing Dong
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Yongtao Liu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Qiuhong Yang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Xiaohui Ai
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
| | - Xia Zhu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
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Li K, Zhang R, Wen F, Zhao Y, Meng F, Li Q, Hao A, Yang B, Lu Z, Cui Y, Zhou M. Single-cell dissection of the multicellular ecosystem and molecular features underlying microvascular invasion in HCC. Hepatology 2024; 79:1293-1309. [PMID: 37972953 PMCID: PMC11095903 DOI: 10.1097/hep.0000000000000673] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/24/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND AND AIMS Microvascular invasion (MVI) is a crucial pathological hallmark of HCC that is closely associated with poor outcomes, early recurrence, and intrahepatic metastasis following surgical resection and transplantation. However, the intricate tumor microenvironment and transcriptional programs underlying MVI in HCC remain poorly understood. APPROACH AND RESULTS We performed single-cell RNA sequencing of 46,789 individual cells from 10 samples of MVI+ (MVI present) and MVI- (MVI absent) patients with HCC. We conducted comprehensive and comparative analyses to characterize cellular and molecular features associated with MVI and validated key findings using external bulk, single-cell, and spatial transcriptomic datasets coupled with multiplex immunofluorescence assays. The comparison identified specific subtypes of immune and stromal cells critical to the formation of the immunosuppressive and pro-metastatic microenvironment in MVI+ tumors, including cycling T cells, lysosomal associated membrane protein 3+ dendritic cells, triggering receptor expressed on myeloid cells 2+ macrophages, myofibroblasts, and arterial i endothelial cells. MVI+ malignant cells are characterized by high proliferation rates, whereas MVI- malignant cells exhibit an inflammatory milieu. Additionally, we identified the midkine-dominated interaction between triggering receptor expressed on myeloid cells 2+ macrophages and malignant cells as a contributor to MVI formation and tumor progression. Notably, we unveiled a spatially co-located multicellular community exerting a dominant role in shaping the immunosuppressive microenvironment of MVI and correlating with unfavorable prognosis. CONCLUSIONS This study provides a comprehensive single-cell atlas of MVI in HCC, shedding light on the complex multicellular ecosystem and molecular features associated with MVI. These findings deepen our understanding of the underlying mechanisms driving MVI and provide valuable insights for improving clinical diagnosis and developing more effective treatment strategies.
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Affiliation(s)
- Ke Li
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, P. R. China
| | - Rui Zhang
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Fukai Wen
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Yunzheng Zhao
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Fanshuai Meng
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Qingyu Li
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Aimin Hao
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Bailu Yang
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Zhaoyang Lu
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Yifeng Cui
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, P. R. China
| | - Meng Zhou
- School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, P. R. China
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Wu Y, Chen J, Zhu R, Huang G, Zeng J, Yu H, He Z, Han C. Integrating TCGA and Single-Cell Sequencing Data for Hepatocellular Carcinoma: A Novel Glycosylation (GLY)/Tumor Microenvironment (TME) Classifier to Predict Prognosis and Immunotherapy Response. Metabolites 2024; 14:51. [PMID: 38248854 PMCID: PMC10818448 DOI: 10.3390/metabo14010051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
The major liver cancer subtype is hepatocellular carcinoma (HCC). Studies have indicated that a better prognosis is related to the presence of tumor-infiltrating lymphocytes (TILs) in HCC. However, the molecular pathways that drive immune cell variation in the tumor microenvironment (TME) remain poorly understood. Glycosylation (GLY)-related genes have a vital function in the pathogenesis of numerous tumors, including HCC. This study aimed to develop a GLY/TME classifier based on glycosylation-related gene scores and tumor microenvironment scores to provide a novel prognostic model to improve the prediction of clinical outcomes. The reliability of the signatures was assessed using receiver operating characteristic (ROC) and survival analyses and was verified with external datasets. Furthermore, the correlation between glycosylation-related genes and other cells in the immune environment, the immune signature of the GLY/TME classifier, and the efficacy of immunotherapy were also investigated. The GLY score low/TME score high subgroup showed a favorable prognosis and therapeutic response based on significant differences in immune-related molecules and cancer cell signaling mechanisms. We evaluated the prognostic role of the GLY/TME classifier that demonstrated overall prognostic significance for prognosis and therapeutic response before treatment, which may provide new options for creating the best possible therapeutic approaches for patients.
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Affiliation(s)
- Yun Wu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
| | - Jiaru Chen
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
- School of Pharmacy, Guangdong Medical University, Dongguan 523808, China
| | - Riting Zhu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
- School of Pharmacy, Guangdong Medical University, Dongguan 523808, China
| | - Guoliang Huang
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
| | - Jincheng Zeng
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
- Dongguan Key Laboratory of Medical Bioactive Molecular Developmental and Translational Research, Guangdong Medical University, Dongguan 523808, China
| | - Hongbing Yu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
| | - Zhiwei He
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
| | - Cuifang Han
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan 523808, China; (Y.W.); (J.C.); (R.Z.); (G.H.); (J.Z.); (H.Y.)
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Christou C, Stylianou A, Gkretsi V. Midkine (MDK) in Hepatocellular Carcinoma: More than a Biomarker. Cells 2024; 13:136. [PMID: 38247828 PMCID: PMC10814326 DOI: 10.3390/cells13020136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 01/02/2024] [Accepted: 01/06/2024] [Indexed: 01/23/2024] Open
Abstract
Midkine (MDK) is a multifunctional secreted protein that can act as a cytokine or growth factor regulating multiple signaling pathways and being implicated in fundamental cellular processes, such as survival, proliferation, and migration. Although its expression in normal adult tissues is barely detectable, MDK serum levels are found to be elevated in several types of cancer, including hepatocellular carcinoma (HCC). In this review, we summarize the findings of recent studies on the role of MDK in HCC diagnosis and progression. Overall, studies show that MDK is a powerful biomarker for HCC early diagnosis, as it can differentiate not only between HCC patients and normal individuals but also between HCC patients and patients with other liver pathologies. It is correlated with high recurrence rates and was shown to be valuable for the diagnosis of early-stage HCC, even in patients negative for α-fetoprotein (AFP), the most commonly used biomarker for HCC diagnosis. A comparison with AFP reveals that MDK is inferior to AFP with regard to specificity but significantly superior with regard to sensitivity, which further indicates the need for using both biomarkers for more effective HCC diagnosis.
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Affiliation(s)
- Christiana Christou
- Cancer Metastasis and Adhesion Laboratory, Basic and Translational Cancer Research Center (BTCRC), European University Cyprus, Nicosia 2404, Cyprus;
- European University Cyprus Research Centre Ltd., Nicosia 2404, Cyprus;
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia 2404, Cyprus
| | - Andreas Stylianou
- European University Cyprus Research Centre Ltd., Nicosia 2404, Cyprus;
- Cancer Mechanobiology and Applied Biophysics Laboratory, Basic and Translational Cancer Research Center (BTCRC), European University Cyprus, Nicosia 2404, Cyprus
| | - Vasiliki Gkretsi
- Cancer Metastasis and Adhesion Laboratory, Basic and Translational Cancer Research Center (BTCRC), European University Cyprus, Nicosia 2404, Cyprus;
- European University Cyprus Research Centre Ltd., Nicosia 2404, Cyprus;
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia 2404, Cyprus
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Su Y, Zhang X, Liang Y, Sun J, Lu C, Huang Z. Integrated analysis of single-cell RNA-seq and bulk RNA-seq to unravel the molecular mechanisms underlying the immune microenvironment in the development of intestinal-type gastric cancer. Biochim Biophys Acta Mol Basis Dis 2024; 1870:166849. [PMID: 37591405 DOI: 10.1016/j.bbadis.2023.166849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/02/2023] [Accepted: 08/12/2023] [Indexed: 08/19/2023]
Abstract
Intestinal-type gastric cancer (IGC) is the most frequent type of gastric cancer in high-incidence populations. The early stages of IGC growth successively include nonatrophic gastritis (NAG), chronic atrophic gastritis (CAG) and intestinal metaplasia (IM). However, the mechanisms of IGC development through these stages remain unclear. For this study, single-cell RNA-seq data related to IGC were downloaded from the GEO database, and immune cells of the tumor microenvironment (TME) were annotated using R software. Changes in the proportion of immune cells and altered cell-to-cell interactions were explored at different disease stages using R software, with a focus on plasma cells. Additionally, IGC samples from the TCGA database were used for immune cell infiltration analysis, and a Cox proportional risk regression model was constructed to identify possible prognostic genes. The results indicated that for precancerous lesions, interactions between immune cells were mainly dominated by chemokines to stimulate the infiltration and activation of immune cells. In tumors, intercellular movement of upregulated molecules and amplified signals were associated with the tumor necrosis factor family and immunosuppression to escape immune surveillance and promote tumor growth. Regarding prognostic analysis, IGLC3, IGLV1-44, IGKV1-16, IGHV3-21, IGLV1-51, and IGLV3-19 were found to be novel biomarkers for IGC. Our analysis of the IGC single-cell atlas together with bulk transcriptome data contributes to understanding TME heterogeneity at the molecular level during IGC development and provides insights for elucidating the mechanism of IGC and discovering novel targets for precise therapy.
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Affiliation(s)
- Yongjian Su
- Key Laboratory of Computer-Aided Drug Design of Dongguan City, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China; Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Xiaoqing Zhang
- School of Basic Medicine, Guangdong Medical University, Dongguan, China
| | - Youcheng Liang
- Key Laboratory of Computer-Aided Drug Design of Dongguan City, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China; Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Jianbo Sun
- Key Laboratory of Computer-Aided Drug Design of Dongguan City, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
| | - Chengyu Lu
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China.
| | - Zunnan Huang
- Key Laboratory of Computer-Aided Drug Design of Dongguan City, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China; Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China.
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Lee YT, Fujiwara N, Yang JD, Hoshida Y. Risk stratification and early detection biomarkers for precision HCC screening. Hepatology 2023; 78:319-362. [PMID: 36082510 PMCID: PMC9995677 DOI: 10.1002/hep.32779] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/25/2022] [Accepted: 08/28/2022] [Indexed: 12/08/2022]
Abstract
Hepatocellular carcinoma (HCC) mortality remains high primarily due to late diagnosis as a consequence of failed early detection. Professional societies recommend semi-annual HCC screening in at-risk patients with chronic liver disease to increase the likelihood of curative treatment receipt and improve survival. However, recent dynamic shift of HCC etiologies from viral to metabolic liver diseases has significantly increased the potential target population for the screening, whereas annual incidence rate has become substantially lower. Thus, with the contemporary HCC etiologies, the traditional screening approach might not be practical and cost-effective. HCC screening consists of (i) definition of rational at-risk population, and subsequent (ii) repeated application of early detection tests to the population at regular intervals. The suboptimal performance of the currently available HCC screening tests highlights an urgent need for new modalities and strategies to improve early HCC detection. In this review, we overview recent developments of clinical, molecular, and imaging-based tools to address the current challenge, and discuss conceptual framework and approaches of their clinical translation and implementation. These encouraging progresses are expected to transform the current "one-size-fits-all" HCC screening into individualized precision approaches to early HCC detection and ultimately improve the poor HCC prognosis in the foreseeable future.
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Affiliation(s)
- Yi-Te Lee
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California
| | - Naoto Fujiwara
- Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Ju Dong Yang
- Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, California; Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, Los Angeles, California; Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Yujin Hoshida
- Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
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Matsunaga W, Gotoh A. Adenovirus as a Vector and Oncolytic Virus. Curr Issues Mol Biol 2023; 45:4826-4840. [PMID: 37367056 DOI: 10.3390/cimb45060307] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/30/2023] [Accepted: 05/30/2023] [Indexed: 06/28/2023] Open
Abstract
Adenoviral vectors, both oncolytic viruses and gene delivery vectors, are among the earliest approved and commercialised vectors for gene therapy. Adenoviruses have high cytotoxicity and immunogenicity. Therefore, lentiviruses or adeno-associated viruses as viral vectors and herpes simplex virus as an oncolytic virus have recently drawn attention. Thus, adenoviral vectors are often considered relatively obsolete. However, their high cargo limit and transduction efficiency are significant advantages over newer viral vectors. This review provides an overview of the new-generation adenoviral vectors. In addition, we describe the modification of the fiber knob region that enhances affinity of adenoviral vectors for cancer cells and the utilisation of cancer-cell-specific promoters to suppress expression of unwanted transgenes in non-malignant tissues.
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Affiliation(s)
- Wataru Matsunaga
- Joint-Use Research Facilities, Hyogo Medical University, 1-1 Mukogawa, Nishinomiya 663-8501, Japan
| | - Akinobu Gotoh
- Department of Education for Medical Research Base, Hyogo Medical University, 1-1 Mukogawa, Nishinomiya 663-8501, Japan
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Chen J, Niu C, Yang N, Liu C, Zou SS, Zhu S. Biomarker discovery and application-An opportunity to resolve the challenge of liver cancer diagnosis and treatment. Pharmacol Res 2023; 189:106674. [PMID: 36702425 DOI: 10.1016/j.phrs.2023.106674] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023]
Abstract
Liver cancer is one of the most common malignancies, with severe morbidity and mortality. While considerable progress has been made in liver cancer treatment, the 5-year overall survival (OS) of patients has not improved significantly. Reasons include the inadequate capability of early screening and diagnosis, a high incidence of recurrence and metastasis, a high degree of tumor heterogeneity, and an immunosuppressive tumor microenvironment. Therefore, the identification and validation of specific and robust liver cancer biomarkers are of major importance for early screening, timely diagnosis, accurate prognosis, and the prevention of tumor progression. In this review, we highlight some of the latest research progress and potential applications of liver cancer biomarkers, describing hotspots and prospective directions in biomarker discovery.
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Affiliation(s)
- Jingtao Chen
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China; Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Chao Niu
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Ning Yang
- Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Chunyan Liu
- Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Shan-Shan Zou
- Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Shan Zhu
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China; Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China.
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10
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Salgüero S, Brochado-Kith Ó, Verdices AV, Berenguer J, González-García J, Martínez I, Díez C, Hontañón V, Pérez-Latorre L, Fernández-Rodríguez A, Jiménez-Sousa MÁ, Resino S. PBMCs gene expression signature of advanced cirrhosis with high risk for clinically significant portal hypertension in HIV/HCV coinfected patients: A cross-control study. Biomed Pharmacother 2023; 159:114220. [PMID: 36628818 DOI: 10.1016/j.biopha.2023.114220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Patients with advanced cirrhosis are at high risk of developing clinically significant portal hypertension (CSPH). We analyzed the gene expression profile of peripheral blood mononuclear cells (PBMCs) from HIV/HCV coinfected patients to identify a gene expression signature of advanced cirrhosis with high risk for CSPH. METHODS We conducted a cross-sectional study on 68 patients. Liver stiffness measurement (LSM) was used to stratify patients into < 12.5 kPa (no cirrhosis, n = 19), 12.5 - 24.9 kPa (cirrhosis, n = 20), and ≥ 25 kPa (advanced cirrhosis with high risk for CSPH, n = 29). Besides, we further evaluated LSM < 25 kPa (n = 39) vs. ≥ 25 kPa (n = 29). Total RNA was extracted from PBMCs, and poly(A) RNA sequencing was performed. Two significant differentially expressed (SDE) transcripts were validated by quantitative PCR in a different cohort (n = 46). RESULTS We found 60 SDE transcripts between patients with LSM < 12.5 kPa and ≥ 25 kPa. Partial least squares discriminant analysis showed that those 60 SDE transcripts collectively discriminated LSM ≥ 25 kPa, with an area under the receiver operating characteristic curve (AUROC) of 0.84. Eight genes had an AUROC ≥ 0.75 for LSM ≥ 25 kPa: five were positively associated with LSM values (SCAMP1, ABHD17B, GPR146, GTF2A1, and TMEM64), while three were inversely associated (ZFHX2-AS1, MDK, and STAG3L2). We validated the two SDE transcripts with the highest discrimination capacity in a different cohort, finding significant differences between < 25 kPa and ≥ 25 kPa (MDK (p = 0.006) and STAG3L2 (p = 0.021)). CONCLUSIONS A gene expression signature of 60 transcripts was associated with advanced cirrhosis with high risk for CSPH in HIV/HCV coinfected patients.
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Affiliation(s)
- Sergio Salgüero
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain; Unidad de Análisis Clínicos, Hospital El Escorial, Spain.
| | - Óscar Brochado-Kith
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
| | - Ana Virseda Verdices
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
| | - Juan Berenguer
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Unidad de Enfermedades Infecciosas/VIH; Hospital General Universitario "Gregorio Marañón", Madrid, Spain; Instituto de Investigación Sanitaria del Gregorio Marañón, Madrid, Spain.
| | - Juan González-García
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Unidad de VIH; Servicio de Medicina Interna, Hospital Universitario "La Paz", Madrid, Spain; Instituto de Investigación Sanitaria La Paz (IdiPAZ), Madrid, Spain.
| | - Isidoro Martínez
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
| | - Cristina Díez
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Unidad de Enfermedades Infecciosas/VIH; Hospital General Universitario "Gregorio Marañón", Madrid, Spain; Instituto de Investigación Sanitaria del Gregorio Marañón, Madrid, Spain.
| | - Víctor Hontañón
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Unidad de VIH; Servicio de Medicina Interna, Hospital Universitario "La Paz", Madrid, Spain; Instituto de Investigación Sanitaria La Paz (IdiPAZ), Madrid, Spain.
| | - Leire Pérez-Latorre
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain; Unidad de Enfermedades Infecciosas/VIH; Hospital General Universitario "Gregorio Marañón", Madrid, Spain; Instituto de Investigación Sanitaria del Gregorio Marañón, Madrid, Spain.
| | - Amanda Fernández-Rodríguez
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
| | - María Ángeles Jiménez-Sousa
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
| | - Salvador Resino
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
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11
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Shang B, Wang R, Qiao H, Zhao X, Wang L, Sui S. Multi-omics analysis of pyroptosis regulation patterns and characterization of tumor microenvironment in patients with hepatocellular carcinoma. PeerJ 2023; 11:e15340. [PMID: 37193028 PMCID: PMC10183172 DOI: 10.7717/peerj.15340] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 04/12/2023] [Indexed: 05/18/2023] Open
Abstract
Background Hepatocellular carcinoma (HCC) is a primary malignant tumor of the liver, and pyroptosis has been identified as a novel cellular program that plays a role in numerous diseases including cancer. However, the functional role of pyroptosis in HCC remains unclear. The purpose of this study is to explore the relationship between the two found hub genes and provide targets for clinical treatment. Methods The Cancer Genome Atlas (TCGA) database was used to collect the gene data and clinically-related information of patients with HCC. After the differentially expressed genes (DEGs) were identified, they were intersected with the genes related to pyroptosis, and a risk prediction model was established to predict the overall survival (OS). Subsequently, drug sensitivity analysis, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), and Gene Set Variation Analysis (GSVA) was used to analyze the biological characteristics of the DEGs. Different immune cell infiltration and related pathways were analyzed, and hub genes were identified by protein-protein interaction (PPI). Finally, the expression of hub genes was verified by real-time quantitative PCR (qRT-PCR) and immunohistochemistry. Results We conducted a comprehensive bioinformatics analysis to investigate the molecular mechanisms of pyroptosis in hepatocellular carcinoma (HCC). A total of 8,958 differentially expressed genes were identified, and 37 differentially expressed genes were associated with pyroptosis through intersection. Moreover, we developed an OS model with excellent predictive ability and discovered the differences in biological function, drug sensitivity, and immune microenvironment between high-risk and low-risk groups. Through enrichment analysis, we found that the differentially expressed genes are related to various biological processes. Then, 10 hub genes were identified from protein-protein interaction networks. Finally, midkine (MDK) was screened from the 10 hub genes and further verified by PCR and immunohistochemistry, which revealed its high expression in HCC. Conclusion We have developed a reliable and consistent predictive model based on the identification of potential hub genes, which can be used to accurately forecast the prognosis of patients, thus providing direction for further clinical research and treatment.
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Affiliation(s)
- Bingbing Shang
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Ruohan Wang
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Haiyan Qiao
- Research and Teaching Department of Comparative Medicine, Dalian Medical University, Dalian, China
| | - Xixi Zhao
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Liang Wang
- Research and Teaching Department of Comparative Medicine, Dalian Medical University, Dalian, China
| | - Shaoguang Sui
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
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12
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The potential role of FNDC5/irisin in various liver diseases: awakening the sleeping beauties. Expert Rev Mol Med 2022; 24:e23. [PMID: 35695040 DOI: 10.1017/erm.2022.19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Fibronectin type III domain-containing protein 5 (FNDC5) is a transmembrane protein and the precursor of irisin, which serves as a systemic exerkine/myokine with multiple origins. Since its discovery in 2012, this hormone-like polypeptide has rapidly evolved to a component significantly involved in a gamut of metabolic dysregulations and various liver diseases. After a decade of extensive investigation on FNDC5/irisin, we are still surrounded by lots of open questions regarding its diagnostic and therapeutic values. In this review, we first concentrated on the structure-function relationship of FNDC5/irisin. Next, we comprehensively summarised the current knowledge and research findings regarding pathogenic roles/therapeutic applications of FNDC5/irisin in the context of non-alcoholic fatty liver disease, fibrosis, liver injury due to multiple detrimental insults, hepatic malignancy and intrahepatic cholestasis of pregnancy. Moreover, the prominent molecules involved in the underlying mechanisms and signalling pathways were highlighted. As a result, emerging evidence reveals FNDC5/irisin may act as a proxy for diagnosing liver disease pathology, a sensitive biomarker for assessing damage severity, a predisposing factor for surveilling illness progression and a treatment option with protective/preventive impact, all of which are highly dependent on disease grading and contextually pathological features.
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13
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Behuria HG, Dash S, Sahu SK. Phospholipid Scramblases: Role in Cancer Progression and Anticancer Therapeutics. Front Genet 2022; 13:875894. [PMID: 35422844 PMCID: PMC9002267 DOI: 10.3389/fgene.2022.875894] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Phospholipid scramblases (PLSCRs) that catalyze rapid mixing of plasma membrane lipids result in surface exposure of phosphatidyl serine (PS), a lipid normally residing to the inner plasma membrane leaflet. PS exposure provides a chemotactic eat-me signal for phagocytes resulting in non-inflammatory clearance of apoptotic cells by efferocytosis. However, metastatic tumor cells escape efferocytosis through alteration of tumor microenvironment and apoptotic signaling. Tumor cells exhibit altered membrane features, high constitutive PS exposure, low drug permeability and increased multidrug resistance through clonal evolution. PLSCRs are transcriptionally up-regulated in tumor cells leading to plasma membrane remodeling and aberrant PS exposure on cell surface. In addition, PLSCRs interact with multiple cellular components to modulate cancer progression and survival. While PLSCRs and PS exposed on tumor cells are novel drug targets, many exogenous molecules that catalyze lipid scrambling on tumor plasma membrane are potent anticancer therapeutic molecules. In this review, we provide a comprehensive analysis of scramblase mediated signaling events, membrane alteration specific to tumor development and possible therapeutic implications of scramblases and PS exposure.
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Affiliation(s)
- Himadri Gourav Behuria
- Laboratory of Molecular Membrane Biology, Department of Biotechnology, Maharaja Sriram Chandra Bhanjadeo University, Baripada, India
| | - Sabyasachi Dash
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Santosh Kumar Sahu
- Laboratory of Molecular Membrane Biology, Department of Biotechnology, Maharaja Sriram Chandra Bhanjadeo University, Baripada, India
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14
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Zheng L, Gu X, Zheng G, Li X, He M, Liu L, Zhou X. Prediction of early recurrence and response to adjuvant Sorafenib for hepatocellular carcinoma after resection. PeerJ 2021; 9:e12554. [PMID: 34900444 PMCID: PMC8628622 DOI: 10.7717/peerj.12554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 11/05/2021] [Indexed: 01/27/2023] Open
Abstract
Background Early recurrence of hepatocellular carcinoma (HCC) is a major obstacle to improving the prognosis, and no widely accepted adjuvant therapy guideline for patients post-liver resection is available. Currently, all available methods and biomarkers are insufficient to accurately predict post-operation HCC patients’ risk of early recurrence and their response to adjuvant therapy. Methods In this study, we downloaded four gene expression datasets (GSE14520, GSE54236, GSE87630, and GSE109211) from the Gene Expression Omnibus database and identified 34 common differentially expressed genes associated with HCC dysregulation and response to adjuvant sorafenib. Then, we constructed a novel 11-messenger RNA predictive model by using ROC curves analysis, univariate Cox regression analysis, and LASSO Cox regression analysis. Furthermore, we validated the predictive values of the risk model in GSE14520 and TCGA-LIHC cohorts by using Kaplan–Meier survival analysis, multivariable Cox regression analysis, and decision curve analysis, respectively. Results The risk score model could identify patients with a high risk of HCC recurrence at the early stage and could predict the response of patients to adjuvant sorafenib. Patients with a high risk score had a worse recurrence rate in training cohorts (2-year: p < 0.0001, hazard ratio (HR): 4.658, confidence interval 95% CI [2.895–7.495]; 5-year: p < 0.0001, HR: 3.251, 95% CI [2.155–4.904]) and external validation cohorts (2-year: p < 0.001, HR: 3.65, 95% CI [2.001–6.658]; 5-year: p < 0.001, HR: 3.156, 95% CI [1.78–5.596]). The AUC values of the risk score model for predicting tumor early recurrence were 0.746 and 0.618, and that of the risk score model for predicting the response to adjuvant sorafenib were 0.722 and 0.708 in the different cohort, respectively. Multivariable Cox regression analysis and decision curve analysis also showed that the risk score model was superior to and independent of other clinicopathologic characteristics. Moreover, the risk score model had excellent abilities to predict the overall survival and HCC recurrence of patients with the same tumor stage category. Conclusions Our risk model is a reliable and superior predictive tool. With this model, we could optimize the risk stratification based on early tumor recurrence and could evaluate the response of patients to adjuvant sorafenib after liver resection.
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Affiliation(s)
- Liming Zheng
- Central Laboratory, The Third People's Hospital of Changzhou, Changzhou, China
| | - Xi Gu
- Department of General Surgery, The Third People's Hospital of Changzhou, Changzhou, China
| | - Guojun Zheng
- Central Laboratory, The Third People's Hospital of Changzhou, Changzhou, China
| | - Xin Li
- Central Laboratory, The Third People's Hospital of Changzhou, Changzhou, China
| | - Meifang He
- Central Laboratory, The Third People's Hospital of Changzhou, Changzhou, China
| | - Longgen Liu
- Central Laboratory, The Third People's Hospital of Changzhou, Changzhou, China
| | - Xike Zhou
- Clinical Lab, Wuxi No. 5 People's Hospital, Wuxi, China
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15
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Gowhari Shabgah A, Abdelbasset WK, Sulaiman Rahman H, Bokov DO, Suksatan W, Thangavelu L, Ahmadi M, Malekahmadi M, Gheibihayat SM, Gholizadeh Navashenaq J. A comprehensive review of IL-26 to pave a new way for a profound understanding of the pathobiology of cancer, inflammatory diseases and infections. Immunology 2021; 165:44-60. [PMID: 34716913 DOI: 10.1111/imm.13424] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 09/24/2021] [Accepted: 10/21/2021] [Indexed: 11/29/2022] Open
Abstract
Cytokines are considered vital mediators of the immune system. Down- or upregulation of these mediators is linked to several inflammatory and pathologic situations. IL-26 is referred to as an identified member of the IL-10 family and IL-20 subfamily. Due to having a unique cationic structure, IL-26 exerts diverse functions in several diseases. Since IL-26 is mainly secreted from Th17, it is primarily considered a pro-inflammatory cytokine. Upon binding to its receptor complex (IL-10R1/IL-20R2), IL-26 activates multiple signalling mediators, especially STAT1/STAT3. In cancer, IL-26 induces IL-22-producing cells, which consequently decrease cytotoxic T-cell functions and promote tumour growth through activating anti-apoptotic proteins. In hypersensitivity conditions such as rheumatoid arthritis, multiple sclerosis, psoriasis and allergic disease, this cytokine functions primarily as the disease-promoting mediator and might be considered a biomarker for disease prognosis. Although IL-26 exerts antimicrobial function in infections such as hepatitis, tuberculosis and leprosy, it has also been shown that IL-26 might be involved in the pathogenesis and exacerbation of sepsis. Besides, the involvement of IL-26 has been confirmed in other conditions, including graft-versus-host disease and chronic obstructive pulmonary disease. Therefore, due to the multifarious function of this cytokine, it is proposed that the underlying mechanism regarding IL-26 function should be elucidated. Collectively, it is hoped that the examination of IL-26 in several contexts might be promising in predicting disease prognosis and might introduce novel approaches in the treatment of various diseases.
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Affiliation(s)
- Arezoo Gowhari Shabgah
- School of Medicine, Bam University of Medical Sciences, Bam, Iran.,Student Research Committee, Bam University of Medical Sciences, Bam, Iran
| | - Walid Kamal Abdelbasset
- Department of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia.,Department of Physical Therapy, Kasr Al-Aini Hospital, Cairo University, Giza, Egypt
| | - Heshu Sulaiman Rahman
- Department of Physiology, College of Medicine, University of Sulaimani, Sulaymaniyah, Iraq.,Department of Medical Laboratory Sciences, Komar University of Science and Technology, Sulaymaniyah, Iraq
| | - Dmitry O Bokov
- Institute of Pharmacy, Sechenov First Moscow State Medical University, Moscow, Russia.,Laboratory of Food Chemistry, Federal Research Center of Nutrition, Biotechnology and Food Safety, Moscow, Russia
| | - Wanich Suksatan
- Faculty of Nursing, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Lakshmi Thangavelu
- Department of Pharmacology, Saveetha institute of medical and Technical Sciences, Saveetha Dental College and Hospital, Saveetha University, Chennai, India
| | - Majid Ahmadi
- Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahsa Malekahmadi
- Research Center for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Mohammad Gheibihayat
- Department of Biotechnology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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