1
|
Johnson WT, McBride D, Kerr M, Nguyen A, Zoccheddu M, Bollmann M, Wei X, Jones RM, Wang W, Svensson MND, Bottini N, Shah NJ. Immunomodulatory Nanoparticles for Modulating Arthritis Flares. ACS NANO 2024; 18:1892-1906. [PMID: 38016062 DOI: 10.1021/acsnano.3c05298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Disease-modifying drugs have improved the treatment for autoimmune joint disorders, such as rheumatoid arthritis, but inflammatory flares are a common experience. This work reports the development and application of flare-modulating poly(lactic-co-glycolic acid)-poly(ethylene glycol)-maleimide (PLGA-PEG-MAL)-based nanoparticles conjugated with joint-relevant peptide antigens, aggrecan70-84 and type 2 bovine collagen256-270. Peptide-conjugated PLGA-PEG-MAL nanoparticles encapsulated calcitriol, which acted as an immunoregulatory agent, and were termed calcitriol-loaded nanoparticles (CLNP). CLNP had a ∼200 nm hydrodynamic diameter with a low polydispersity index. In vitro, CLNP induced phenotypic changes in bone marrow derived dendritic cells (DC), reducing the expression of costimulatory and major histocompatibility complex class II molecules, and proinflammatory cytokines. Bulk RNA sequencing of DC showed that CLNP enhanced expression of Ctla4, a gene associated with downregulation of immune responses. In vivo, CLNP accumulated in the proximal lymph nodes after intramuscular injection. Administration of CLNP was not associated with changes in peripheral blood cell numbers or cytokine levels. In the collagen-induced arthritis and SKG mouse models of autoimmune joint disorders, CLNP reduced clinical scores, prevented bone erosion, and preserved cartilage proteoglycan, as assessed by high-resolution microcomputed tomography and histomorphometry analysis. The disease protective effects were associated with increased CTLA-4 expression in joint-localized DC and CD4+ T cells but without generalized suppression of T cell-dependent immune response. The results support the potential of CLNP as modulators of disease flares in autoimmune arthropathies.
Collapse
Affiliation(s)
- Wade T Johnson
- Department of NanoEngineering and Chemical Engineering Program, University of California, San Diego, La Jolla, California 92093, United States
| | - David McBride
- Department of NanoEngineering and Chemical Engineering Program, University of California, San Diego, La Jolla, California 92093, United States
| | - Matthew Kerr
- Department of NanoEngineering and Chemical Engineering Program, University of California, San Diego, La Jolla, California 92093, United States
| | - Anders Nguyen
- Department of Rheumatology and Inflammation Research, University of Gothenburg, Gothenburg 41346, Sweden
- SciLifeLab, University of Gothenburg, Gothenburg 41346, Sweden
| | - Martina Zoccheddu
- Department of Medicine, University of California, San Diego, La Jolla, California 92093, United States
| | - Miriam Bollmann
- Department of Rheumatology and Inflammation Research, University of Gothenburg, Gothenburg 41346, Sweden
- SciLifeLab, University of Gothenburg, Gothenburg 41346, Sweden
| | - Xiaofu Wei
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States
| | - Ryan M Jones
- Department of NanoEngineering and Chemical Engineering Program, University of California, San Diego, La Jolla, California 92093, United States
| | - Wei Wang
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California 92093, United States
| | - Mattias N D Svensson
- Department of Rheumatology and Inflammation Research, University of Gothenburg, Gothenburg 41346, Sweden
- SciLifeLab, University of Gothenburg, Gothenburg 41346, Sweden
| | - Nunzio Bottini
- Kao Autoimmunity Institute and Division of Rheumatology, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Nisarg J Shah
- Department of NanoEngineering and Chemical Engineering Program, University of California, San Diego, La Jolla, California 92093, United States
| |
Collapse
|
2
|
Cassotta M, Forbes-Hernandez TY, Cianciosi D, Elexpuru Zabaleta M, Sumalla Cano S, Dominguez I, Bullon B, Regolo L, Alvarez-Suarez JM, Giampieri F, Battino M. Nutrition and Rheumatoid Arthritis in the 'Omics' Era. Nutrients 2021; 13:763. [PMID: 33652915 PMCID: PMC7996781 DOI: 10.3390/nu13030763] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 02/16/2021] [Accepted: 02/24/2021] [Indexed: 02/07/2023] Open
Abstract
Modern high-throughput 'omics' science tools (including genomics, transcriptomics, proteomics, metabolomics and microbiomics) are currently being applied to nutritional sciences to unravel the fundamental processes of health effects ascribed to particular nutrients in humans and to contribute to more precise nutritional advice. Diet and food components are key environmental factors that interact with the genome, transcriptome, proteome, metabolome and the microbiota, and this life-long interplay defines health and diseases state of the individual. Rheumatoid arthritis (RA) is a chronic autoimmune disease featured by a systemic immune-inflammatory response, in genetically susceptible individuals exposed to environmental triggers, including diet. In recent years increasing evidences suggested that nutritional factors and gut microbiome have a central role in RA risk and progression. The aim of this review is to summarize the main and most recent applications of 'omics' technologies in human nutrition and in RA research, examining the possible influences of some nutrients and nutritional patterns on RA pathogenesis, following a nutrigenomics approach. The opportunities and challenges of novel 'omics technologies' in the exploration of new avenues in RA and nutritional research to prevent and manage RA will be also discussed.
Collapse
Affiliation(s)
- Manuela Cassotta
- Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, 39011 Santander, Spain; (M.C.); (M.E.Z.); (S.S.C.); (I.D.)
| | - Tamara Y. Forbes-Hernandez
- Nutrition and Food Science Group, Department of Analytical and Food Chemistry, CITACA, CACTI, University of Vigo, 36310 Vigo, Spain;
| | - Danila Cianciosi
- Department of Clinical Sciences, Faculty of Medicine, Polytechnic University of Marche, 60131 Ancona, Italy; (D.C.); (L.R.)
| | - Maria Elexpuru Zabaleta
- Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, 39011 Santander, Spain; (M.C.); (M.E.Z.); (S.S.C.); (I.D.)
| | - Sandra Sumalla Cano
- Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, 39011 Santander, Spain; (M.C.); (M.E.Z.); (S.S.C.); (I.D.)
| | - Irma Dominguez
- Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, 39011 Santander, Spain; (M.C.); (M.E.Z.); (S.S.C.); (I.D.)
| | - Beatriz Bullon
- Department of Periodontology, Dental School, University of Sevilla, 41004 Sevilla, Spain;
| | - Lucia Regolo
- Department of Clinical Sciences, Faculty of Medicine, Polytechnic University of Marche, 60131 Ancona, Italy; (D.C.); (L.R.)
| | - Josè Miguel Alvarez-Suarez
- AgroScience & Food Research Group, Universidad de Las Américas, Quito 170125, Ecuador;
- King Fahd Medical Research Center, King Abdulaziz University, Jedda 21589, Saudi Arabia
| | - Francesca Giampieri
- Department of Clinical Sciences, Faculty of Medicine, Polytechnic University of Marche, 60131 Ancona, Italy; (D.C.); (L.R.)
- Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Maurizio Battino
- Department of Clinical Sciences, Faculty of Medicine, Polytechnic University of Marche, 60131 Ancona, Italy; (D.C.); (L.R.)
- International Research Center for Food Nutrition and Safety, Jiangsu University, Zhenjiang 212013, China
| |
Collapse
|
3
|
Ha E, Bang SY, Lim J, Yun JH, Kim JM, Bae JB, Lee HS, Kim BJ, Kim K, Bae SC. Genetic variants shape rheumatoid arthritis-specific transcriptomic features in CD4 + T cells through differential DNA methylation, explaining a substantial proportion of heritability. Ann Rheum Dis 2021; 80:876-883. [PMID: 33436383 DOI: 10.1136/annrheumdis-2020-219152] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 12/10/2020] [Accepted: 12/30/2020] [Indexed: 01/03/2023]
Abstract
OBJECTIVE CD4+ T cells have been suggested as the most disease-relevant cell type in rheumatoid arthritis (RA) in which RA-risk non-coding variants exhibit allele-specific effects on regulation of RA-driving genes. This study aimed to understand RA-specific signatures in CD4+ T cells using multi-omics data, interpreting inter-omics relationships in shaping the RA transcriptomic landscape. METHODS We profiled genome-wide variants, gene expression and DNA methylation in CD4+ T cells from 82 patients with RA and 40 healthy controls using high-throughput technologies. We investigated differentially expressed genes (DEGs) and differential methylated regions (DMRs) in RA and localised quantitative trait loci (QTLs) for expression and methylation. We then integrated these based on individual-level correlations to inspect DEG-regulating sources and investigated the potential regulatory roles of RA-risk variants by a partitioned-heritability enrichment analysis with RA genome-wide association summary statistics. RESULTS A large number of RA-specific DEGs were identified (n=2575), highlighting T cell differentiation and activation pathways. RA-specific DMRs, preferentially located in T cell regulatory regions, were correlated with the expression levels of 548 DEGs mostly in the same topologically associating domains. In addition, expressional variances in 771 and 83 DEGs were partially explained by expression QTLs for DEGs and methylation QTLs (meQTLs) for DEG-correlated DMRs, respectively. A large number of RA variants were moderately to strongly correlated with meQTLs. DEG-correlated DMRs, enriched with meQTLs, had strongly enriched heritability of RA. CONCLUSION Our findings revealed that the methylomic changes, driven by RA heritability-explaining variants, shape the differential expression of a substantial fraction of DEGs in CD4+ T cells in patients with RA, reinforcing the importance of a multidimensional approach in disease-relevant tissues.
Collapse
Affiliation(s)
- Eunji Ha
- Department of Biology and Department of Life and Nanopharmaceutical SciencesBiology, Kyung Hee University, Seoul, Republic of Korea
| | - So-Young Bang
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea.,Hanyang University Institute for Rheumatology Research, Seoul, Republic of Korea
| | - Jiwoo Lim
- Department of Biology and Department of Life and Nanopharmaceutical SciencesBiology, Kyung Hee University, Seoul, Republic of Korea
| | - Jun Ho Yun
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Osong Health Technology Administration Complex, Cheongju, Republic of Korea
| | - Jeong-Min Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Osong Health Technology Administration Complex, Cheongju, Republic of Korea
| | - Jae-Bum Bae
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Osong Health Technology Administration Complex, Cheongju, Republic of Korea
| | - Hye-Soon Lee
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea.,Hanyang University Institute for Rheumatology Research, Seoul, Republic of Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Osong Health Technology Administration Complex, Cheongju, Republic of Korea
| | - Kwangwoo Kim
- Department of Biology and Department of Life and Nanopharmaceutical SciencesBiology, Kyung Hee University, Seoul, Republic of Korea
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea .,Hanyang University Institute for Rheumatology Research, Seoul, Republic of Korea
| |
Collapse
|
4
|
Liu R, Yuan M, Xu H, Chen P, Xu XS, Yang Y. Adaptive weighted sum tests via LASSO method in multi-locus family-based association analysis. Comput Biol Chem 2020; 88:107320. [PMID: 32711355 DOI: 10.1016/j.compbiolchem.2020.107320] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 03/06/2020] [Accepted: 06/22/2020] [Indexed: 01/20/2023]
Abstract
Family based multi-locus tests integrate information from individual loci by weighted averaging of the marginal statistics, and have been proven to be more efficient and robust than the single-locus tests in genetic association studies. The power depends on how much information the weights can extract from data. The currently published weighted sum methods are only applicable to either common or rare variants and may suffer from substantial power loss especially for rare variants. In this paper, we propose a novel data-driven weight to improve the power under both common and rare variant circumstances. We use the l1 regularization in Least Absolute Shrinkage and Selection Operator (LASSO) regression to construct the weight serving as a simultaneously adaptive marker selection process. Simulations for a dichotomous phenotype demonstrated that our LASSO-based approach outperformed the existing multi-locus methods in the sense of providing the highest statistical power while well controlled type I error rate under different scenarios. We also applied our methods to a real dataset for rheumatoid arthritis (GAW15 Problem 2). Two groups of alleles, in which individual SNPs had only modest and non-significant effects, were detected (P < 0.00001) using our proposed methods, whereas traditional multi-locus methods failed to identify them. In conclusion, the novel LASSO-based approach represents a superior weight-choosing strategy for multi-locus tests.
Collapse
Affiliation(s)
- Rui Liu
- Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China
| | - Min Yuan
- School of Public Health Administration, Anhui Medical School, Hefei 230032, China
| | - Huang Xu
- Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China
| | - Pinzhong Chen
- Jiangyin Hospital of Traditional Chinese Medicine, Wuxi 214401, China
| | - Xu Steven Xu
- Janssen Research and Development, 920 Route 202, Raritan, NJ 08869, USA.
| | - Yaning Yang
- Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China.
| |
Collapse
|
5
|
Mikhaylenko DS, Nemtsova MV, Bure IV, Kuznetsova EB, Alekseeva EA, Tarasov VV, Lukashev AN, Beloukhova MI, Deviatkin AA, Zamyatnin AA. Genetic Polymorphisms Associated with Rheumatoid Arthritis Development and Antirheumatic Therapy Response. Int J Mol Sci 2020; 21:E4911. [PMID: 32664585 PMCID: PMC7402327 DOI: 10.3390/ijms21144911] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/08/2020] [Accepted: 07/09/2020] [Indexed: 12/11/2022] Open
Abstract
Rheumatoid arthritis (RA) is the most common inflammatory arthropathy worldwide. Possible manifestations of RA can be represented by a wide variability of symptoms, clinical forms, and course options. This multifactorial disease is triggered by a genetic predisposition and environmental factors. Both clinical and genealogical studies have demonstrated disease case accumulation in families. Revealing the impact of candidate gene missense variants on the disease course elucidates understanding of RA molecular pathogenesis. A multivariate genomewide association study (GWAS) based analysis identified the genes and signalling pathways involved in the pathogenesis of the disease. However, these identified RA candidate gene variants only explain 30% of familial disease cases. The genetic causes for a significant proportion of familial RA have not been determined until now. Therefore, it is important to identify RA risk groups in different populations, as well as the possible prognostic value of some genetic variants for disease development, progression, and treatment. Our review has two purposes. First, to summarise the data on RA candidate genes and the increased disease risk associated with these alleles in various populations. Second, to describe how the genetic variants can be used in the selection of drugs for the treatment of RA.
Collapse
Affiliation(s)
- Dmitry S. Mikhaylenko
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
- Laboratory of Epigenetics, Research Centre for Medical Genetics, 115478 Moscow, Russia
| | - Marina V. Nemtsova
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
- Laboratory of Epigenetics, Research Centre for Medical Genetics, 115478 Moscow, Russia
| | - Irina V. Bure
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
| | - Ekaterina B. Kuznetsova
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
- Laboratory of Epigenetics, Research Centre for Medical Genetics, 115478 Moscow, Russia
| | - Ekaterina A. Alekseeva
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
- Laboratory of Epigenetics, Research Centre for Medical Genetics, 115478 Moscow, Russia
| | - Vadim V. Tarasov
- Department of Pharmacology and Pharmacy, Sechenov First Moscow State Medical University, 119991 Moscow, Russia;
| | - Alexander N. Lukashev
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
- Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, 119435 Moscow, Russia
| | - Marina I. Beloukhova
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
| | - Andrei A. Deviatkin
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
| | - Andrey A. Zamyatnin
- Institute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; (M.V.N.); (I.V.B.); (E.B.K.); (E.A.A.); (A.N.L.); (M.I.B.); (A.A.D.)
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119992 Moscow, Russia
| |
Collapse
|
6
|
Platzer A, Nussbaumer T, Karonitsch T, Smolen JS, Aletaha D. Analysis of gene expression in rheumatoid arthritis and related conditions offers insights into sex-bias, gene biotypes and co-expression patterns. PLoS One 2019; 14:e0219698. [PMID: 31344123 PMCID: PMC6657850 DOI: 10.1371/journal.pone.0219698] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 06/28/2019] [Indexed: 12/20/2022] Open
Abstract
The era of next-generation sequencing has mounted the foundation of many gene expression studies. In rheumatoid arthritis research, this has led to the discovery of important candidate genes which offered novel insights into mechanisms and their possible roles in the cure of the disease. In the last years, data generation has outstripped data analysis and while many studies focused on specific aspects of the disease, a global picture of the disease is not yet accomplished. Here, we analyzed and compared a collection of gene expression information from healthy individuals and from patients suffering under different arthritis conditions from published studies containing the following clinical conditions: early and established rheumatoid arthritis, osteoarthritis and arthralgia. We show comprehensive overviews of this data collection and give new insights specifically on gene expression in the early stage, into sex-dependent gene expression, and we describe general differences in expression of different biotypes of genes. Many genes that are related to cytoskeleton changes (actin filament related genes) are differently expressed in early rheumatoid arthritis in comparison to healthy subjects; interestingly, eight of these genes reverse their expression ratio significantly between men and women compared early rheumatoid arthritis and healthy subjects. There are some slighter changes between men and woman between the conditions early and established rheumatoid arthritis. Another aspect are miRNAs and other gene biotypes which are not only promising candidates for diagnoses but also change their expression grossly in average at rheumatoid arthritis and arthralgia compared to the healthy condition. With a selection of intersecting genes, we were able to generate simple classification models to distinguish between healthy and rheumatoid arthritis as well as between early rheumatoid arthritis to other arthritides based on gene expression.
Collapse
Affiliation(s)
- Alexander Platzer
- Division of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
- * E-mail:
| | - Thomas Nussbaumer
- Chair and Institute of Environmental Medicine, UNIKA-T, Technical University and Helmholtz Zentrum München, Augsburg, Germany
- Institute of Network Biology (INET), Helmholtz Center Munich, Neuherberg, Germany
| | - Thomas Karonitsch
- Division of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Josef S. Smolen
- Division of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Daniel Aletaha
- Division of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| |
Collapse
|
7
|
Profiling of Stem/Progenitor Cell Regulatory Genes of the Synovial Joint by Genome-Wide RNA-Seq Analysis. BIOMED RESEARCH INTERNATIONAL 2018; 2018:9327487. [PMID: 30046613 PMCID: PMC6038687 DOI: 10.1155/2018/9327487] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 02/20/2018] [Accepted: 03/12/2018] [Indexed: 02/05/2023]
Abstract
Synovial joints suffer from arthritis and trauma that may be severely debilitative. Despite robust investigations in the roles of individual genes in synovial joint development and arthritis, little is known about global profiles of genes that regulate stem/progenitor cells of a synovial joint. The temporomandibular joint is a poorly understood synovial arthrosis with few clinical treatment options. Here, we isolated the articular and mature zones of the mandibular condyle by laser capture microdissection, performed genome-wide profiling, and analyzed molecular signaling pathways relevant to stem/progenitor cell functions. A total of 804 genes were differentially expressed between the articular and mature zones. Pathway analyses revealed 29 enriched signaling pathways, including the PI3K-Akt, Wnt, and Toll-like receptor signaling pathways that may regulate stem/progenitor cell homeostasis and differentiation into the chondrocyte lineage. Upstream regulator analyses further predicted potential upstream key regulators such as Xbp1, Nupr1, and Hif1a, and associated underlying mechanism networks were described. Among the multiple candidates of growth and transcriptional factors that may regulate stem/progenitor cells, we immunolocalized Sox9, Ihh, Frzb, Dkk1, Lgr5, and TGFβ3 in the articular and mature zones. These findings provide a comprehensive genetic mapping of growth and transcriptional genes in the articular and mature zones of a synovial joint condyle. Differentially expressed genes may play crucial roles in the regulation of stem/progenitor cells in development, homeostasis, and tissue regeneration.
Collapse
|
8
|
The Role of Systems Biologic Approach in Cell Signaling and Drug Development Responses-A Mini Review. Med Sci (Basel) 2018; 6:medsci6020043. [PMID: 29848999 PMCID: PMC6024575 DOI: 10.3390/medsci6020043] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 05/21/2018] [Accepted: 05/25/2018] [Indexed: 12/19/2022] Open
Abstract
The immune system is an integral aspect of the human defense system and is primarily responsible for and involved in the communication between the immune cells. It also plays an important role in the protection of the organism from foreign invaders. Recent studies in the literature have described its role in the process of hematopoiesis, lymphocyte recruitment, T cell subset differentiation and inflammation. However, the specific molecular mechanisms underlying these observations remain elusive, impeding the elaborate manipulation of cytokine sequential delivery in tissue repair. Previously, the discovery of new drugs and systems biology went hand in hand; although Systems biology as a term has only originated in the last century. Various new chemicals were tested on the human body, and studied through observation. Animal models replaced humans for initial trials, but the interactions, response, dose and effect between animals and humans could not be directly correlated. Therefore, there is a need to form disease models outside of human subjects to check the effectiveness and response of the newer natural or synthetic chemicals. These emulate human disease conditions wherein the behavior of the chemicals would be similar in the disease model and humans.
Collapse
|