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Rosati D, Palmieri M, Brunelli G, Morrione A, Iannelli F, Frullanti E, Giordano A. Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review. Comput Struct Biotechnol J 2024; 23:1154-1168. [PMID: 38510977 PMCID: PMC10951429 DOI: 10.1016/j.csbj.2024.02.018] [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: 10/23/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/22/2024] Open
Abstract
In recent years, the role of bioinformatics and computational biology together with omics techniques and transcriptomics has gained tremendous importance in biomedicine and healthcare, particularly for the identification of biomarkers for precision medicine and drug discovery. Differential gene expression (DGE) analysis is one of the most used techniques for RNA-sequencing (RNA-seq) data analysis. This tool, which is typically used in various RNA-seq data processing applications, allows the identification of differentially expressed genes across two or more sample sets. Functional enrichment analyses can then be performed to annotate and contextualize the resulting gene lists. These studies provide valuable information about disease-causing biological processes and can help in identifying molecular targets for novel therapies. This review focuses on differential gene expression (DGE) analysis pipelines and bioinformatic techniques commonly used to identify specific biomarkers and discuss the advantages and disadvantages of these techniques.
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Affiliation(s)
- Diletta Rosati
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Maria Palmieri
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Giulia Brunelli
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Andrea Morrione
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA
| | - Francesco Iannelli
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Elisa Frullanti
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Antonio Giordano
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA
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2
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Li W, Ballard J, Zhao Y, Long Q. Knowledge-guided learning methods for integrative analysis of multi-omics data. Comput Struct Biotechnol J 2024; 23:1945-1950. [PMID: 38736693 PMCID: PMC11087912 DOI: 10.1016/j.csbj.2024.04.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/14/2024] Open
Abstract
Integrative analysis of multi-omics data has the potential to yield valuable and comprehensive insights into the molecular mechanisms underlying complex diseases such as cancer and Alzheimer's disease. However, a number of analytical challenges complicate multi-omics data integration. For instance, -omics data are usually high-dimensional, and sample sizes in multi-omics studies tend to be modest. Furthermore, when genes in an important pathway have relatively weak signal, it can be difficult to detect them individually. There is a growing body of literature on knowledge-guided learning methods that can address these challenges by incorporating biological knowledge such as functional genomics and functional proteomics into multi-omics data analysis. These methods have been shown to outperform their counterparts that do not utilize biological knowledge in tasks including prediction, feature selection, clustering, and dimension reduction. In this review, we survey recently developed methods and applications of knowledge-guided multi-omics data integration methods and discuss future research directions.
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Affiliation(s)
- Wenrui Li
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, 19104, PA, USA
| | - Jenna Ballard
- Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, 19104, PA, USA
| | - Yize Zhao
- Department of Biostatistics, School of Public Health, Yale University, 60 College Street, New Haven, 06510, CT, USA
| | - Qi Long
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, 19104, PA, USA
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Li C, Xiao Y, Kong J, Lai C, Chen Z, Li Z, Xie W. Elucidating the role of MICAL1 in pan-cancer using integrated bioinformatics and experimental approaches. Cell Adh Migr 2024; 18:1-17. [PMID: 38555517 PMCID: PMC10984120 DOI: 10.1080/19336918.2024.2335682] [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: 07/28/2023] [Accepted: 03/22/2024] [Indexed: 04/02/2024] Open
Abstract
Molecule interacting with CasL 1 (MICAL1) is a crucial protein involved in cell motility, axon guidance, cytoskeletal dynamics, and gene transcription. This pan-cancer study analyzed MICAL1 across 33 cancer types using bioinformatics and experiments. Dysregulated expression, diagnostic potential, and prognostic value were assessed. Associations with tumor characteristics, immune factors, and drug sensitivity were explored. Enrichment analysis revealed MICAL1's involvement in metastasis, angiogenesis, metabolism, and immune pathways. Functional experiments demonstrated its impact on renal carcinoma cells. These findings position MICAL1 as a potential biomarker and therapeutic target in specific cancers, warranting further investigation into its role in cancer pathogenesis.
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Affiliation(s)
- Canxuan Li
- Department of Urology, Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, Guangdong, P. R. China
| | - Yunfei Xiao
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Clinical Research Center for Urological Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
| | - Jianqiu Kong
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Clinical Research Center for Urological Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
| | - Cong Lai
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Clinical Research Center for Urological Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
| | - Zhiliang Chen
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Clinical Research Center for Urological Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
| | - Zhuohang Li
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Clinical Research Center for Urological Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
| | - Weibin Xie
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
- Guangdong Provincial Clinical Research Center for Urological Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, P. R. China
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Nian F, Wang Y, Yang M, Zhang B. Identification the role of necroptosis in rheumatoid arthritis by WGCNA network. Autoimmunity 2024; 57:2358069. [PMID: 38869013 DOI: 10.1080/08916934.2024.2358069] [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: 12/04/2023] [Accepted: 05/16/2024] [Indexed: 06/14/2024]
Abstract
Rheumatoid arthritis (RA) is the predominant manifestation of inflammatory arthritis, distinguished by an increasing burden of morbidity and mortality. The intricate interplay of genes and signalling pathways involved in synovial inflammation in patients with RA remains inadequately comprehended. This study aimed to ascertain the role of necroptosis in RA, as along with their associations with immune cell infiltration. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify central genes for RA. In this study, identified total of 28 differentially expressed genes (DEGs) were identified in RA. Utilising WGCNA, two co-expression modules were generated, with one module demonstrating the strongest correlation with RA. Through the integration of differential gene expression analysis, a total of 5 intersecting genes were discovered. These 5 hub genes, namely fused in sarcoma (FUS), transformer 2 beta homolog (TRA2B), eukaryotic translation elongation factor 2 (EEF2), cleavage and polyadenylation specific factor 6 (CPSF6) and signal transducer and activator of transcription 3 (STAT3) were found to possess significant diagnostic value as determined by receiver operating characteristic (ROC) curve analysis. The close association between the concentrations of various immune cells is anticipated to contribute to the diagnosis and treatment of RA. Furthermore, the infiltration of immune cells mentioned earlier is likely to exert a substantial influence on the initiation of this disease.
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Affiliation(s)
- Feige Nian
- Department of Rheumatology and Immunology, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
- Jiaxing Key Laboratory of Osteoporosis and Bone Metabolism, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
| | - Yiwen Wang
- Department of Rheumatology and Immunology, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
- Jiaxing Key Laboratory of Osteoporosis and Bone Metabolism, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
| | - Mingfeng Yang
- Department of Rheumatology and Immunology, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
- Jiaxing Key Laboratory of Osteoporosis and Bone Metabolism, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
| | - Bin Zhang
- Department of Rheumatology and Immunology, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
- Jiaxing Key Laboratory of Osteoporosis and Bone Metabolism, The Affiliated Hospital of Jiaxing University (The First Hospital of Jiaxing), Jiaxing, Zhejiang, China
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5
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Voukali E, Divín D, Samblas MG, Veetil NK, Krajzingrová T, Těšický M, Li T, Melepat B, Talacko P, Vinkler M. Subclinical peripheral inflammation has systemic effects impacting central nervous system proteome in budgerigars. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2024; 159:105213. [PMID: 38880215 DOI: 10.1016/j.dci.2024.105213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/13/2024] [Accepted: 06/13/2024] [Indexed: 06/18/2024]
Abstract
Regulation of neuroimmune interactions varies across avian species. Little is presently known about the interplay between periphery and central nervous system (CNS) in parrots, birds sensitive to neuroinflammation. Here we investigated the systemic and CNS responses to dextran sulphate sodium (DSS)- and lipopolysaccharide (LPS)-induced subclinical acute peripheral inflammation in budgerigar (Melopsittacus undulatus). Three experimental treatment groups differing in DSS and LPS stimulation were compared to controls. Individuals treated with DSS showed significant histological intestinal damage. Through quantitative proteomics we described changes in plasma (PL) and cerebrospinal fluid (CSF) composition. In total, we identified 180 proteins in PL and 978 proteins in CSF, with moderate co-structure between the proteomes. Between treatments we detected differences in immune, coagulation and metabolic pathways. Proteomic variation was associated with the levels of pro-inflammatory cytokine mRNA expression in intestine and brain. Our findings shed light on systemic impacts of peripheral low-grade inflammation in birds.
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Affiliation(s)
- Eleni Voukali
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Daniel Divín
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic
| | - Mercedes Goméz Samblas
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic
| | - Nithya Kuttiyarthu Veetil
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic
| | - Tereza Krajzingrová
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic
| | - Martin Těšický
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic
| | - Tao Li
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic
| | - Balraj Melepat
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic
| | - Pavel Talacko
- Biotechnology and Biomedicine Centre of Academy of Sciences and Charles University, Laboratory of OMICS Proteomics and Metabolomics, Průmyslová 595, 252 50, Vestec, Czech Republic
| | - Michal Vinkler
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
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Zeng Z, Hu Y, Xiang J, Su J, Tan H, Lai T, Chen X, Fang G, Li L, Luo L. Cucurbitacin B targets STAT3 to induce ferroptosis in non-small cell lung cancer. Eur J Pharmacol 2024; 978:176805. [PMID: 38950838 DOI: 10.1016/j.ejphar.2024.176805] [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: 03/12/2024] [Revised: 06/28/2024] [Accepted: 06/29/2024] [Indexed: 07/03/2024]
Abstract
Cucurbitacin B (CuB) is a compound found in plants like Cucurbitaceae that has shown promise in fighting cancer, particularly in lung cancer. However, the specific impact of CuB on ferroptosis and how it works in lung cancer cells has not been fully understood. Our research has discovered that CuB can effectively slow down the growth of non-small cell lung cancer (NSCLC) cells. Even in small amounts, it was able to inhibit the growth of various NSCLC cell lines. This inhibitory effect was reversed when ferroptosis inhibitors DFO, Lip-1 and Fer-1 were introduced. CuB was found to increase the levels of reactive oxygen species (ROS), lipid ROS, MDA, and ferrous ions within H358 lung cancer cells, leading to a decrease in GSH, mitochondrial membrane potential (MMP) and changes in ferroptosis-related proteins in a dose-dependent manner. These findings were also confirmed in A549 lung cancer cells. In A549 cells, different concentrations of CuB induced the accumulation of intracellular lipid ROS, ferrous ions and changes in ferroptosis-related indicators in a concentration-dependent manner. Meanwhile, the cytotoxic effect induced by CuB in A549 cells was counteracted by ferroptosis inhibitors DFO and Fer-1. Through network pharmacology, we identified potential targets related to ferroptosis in NSCLC cells treated with CuB, with STAT3 targets showing high scores. Further experiments using molecular docking and cell thermal shift assay (CETSA) revealed that CuB interacts with the STAT3 protein. Western blot and immunofluorescence staining demonstrated that CuB inhibits the phosphorylation of STAT3 (P-STAT3) in H358 cells. Silencing STAT3 enhanced CuB-induced accumulation of lipid ROS and iron ions, as well as the expression of ferroptosis-related proteins. On the other hand, overexpression of STAT3 reversed the effects of CuB-induced ferroptosis. The results indicate that CuB has the capability to suppress STAT3 activation, resulting in ferroptosis, and could be a promising treatment choice for NSCLC.
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Affiliation(s)
- Zeyao Zeng
- The First Clinical College, Guangdong Medical University, Zhanjiang, 524023, Guangdong, China
| | - Yingying Hu
- Department of Pathophysiology, Guangdong Medical University, Zhanjiang, 524002, Guangdong, China
| | - Jing Xiang
- The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine. Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
| | - Jiating Su
- The First Clinical College, Guangdong Medical University, Zhanjiang, 524023, Guangdong, China
| | - Huiting Tan
- The First Clinical College, Guangdong Medical University, Zhanjiang, 524023, Guangdong, China
| | - Tianli Lai
- The First Clinical College, Guangdong Medical University, Zhanjiang, 524023, Guangdong, China
| | - Xinming Chen
- The First Clinical College, Guangdong Medical University, Zhanjiang, 524023, Guangdong, China
| | - Guixuan Fang
- The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine. Guangdong Medical University, Zhanjiang, Guangdong, 524023, China
| | - Li Li
- The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine. Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
| | - Lianxiang Luo
- The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine. Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
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Imam MA, Alandijany TA, Felemban HR, Attar RM, Faizo AA, Gattan HS, Dwivedi VD, Azhar EI. Machine learning, network pharmacology, and molecular dynamics reveal potent cyclopeptide inhibitors against dengue virus proteins. Mol Divers 2024:10.1007/s11030-024-10975-w. [PMID: 39227512 DOI: 10.1007/s11030-024-10975-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 08/20/2024] [Indexed: 09/05/2024]
Abstract
The dengue virus is a major global health hazard responsible for an estimated 390 million diseases yearly. This study focused on identifying cyclopeptide inhibitors for envelope structural proteins E, NS1, NS3, and NS5. Additionally, 5579 cyclopeptides were individually screened against the four target proteins using a machine learning-based quantitative structure-activity relationship model. Subsequently, the best 10 cyclopeptides from each protein were selected for molecular docking with their corresponding proteins. Moreover, the protein-peptide complexes with the highest affinity were subjected to a 100-ns molecular dynamics simulation. The protein-protein complexes exhibited superior structural stability and binding interactions. Based on the results of the MD simulation analyses, which included checking values for Root Mean Square Deviation, Root Mean Square Fluctuation, Principal Component Analysis (PCA), free energy landscapes, and energetic components, it was found that NS5-CP03714 complex is more stable and has stronger binding interactions than NS3-CP02054. PCA and free energy landscape plots have confirmed the higher conformational stability of NS5-CP03714. Analysis of the energetic components revealed that NS5-CP03714 (total binding energy = - 47.19 kcal/mol) exhibits more favorable interaction energies and overall binding energy compared to NS3-CP02054 (total binding energy = - 27.36 kcal/mol), suggesting a stronger and more stable formation of the complex. In addition, the drug-target network of two specific peptides (CP02950 and CP05582) and their associated target proteins were analyzed. This analysis revealed valuable information about their ability to target several proteins and their potential for broad-spectrum activity. Additional experimental investigations are necessary to validate these computational results and assess the efficacy of identified peptide inhibitors in biological systems.
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Affiliation(s)
- Mohammed A Imam
- Department of Medical Microbiology and Parasitology, Qunfudah Faculty of Medicine, Umm Al-Qura University, Al-Qunfudah, 21961, Saudi Arabia
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
| | - Thamir A Alandijany
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
| | - Hashim R Felemban
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
| | - Roba M Attar
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
- Department of Biological Sciences/Microbiology, Faculty of Science, University of Jeddah, , 21959, Jeddah, Saudi Arabia
| | - Arwa A Faizo
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
| | - Hattan S Gattan
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, 21362, Jeddah, Saudi Arabia
| | - Vivek Dhar Dwivedi
- Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospitals, Saveetha University, Chennai, India.
- Bioinformatics Research Division, Quanta Calculus, Greater Noida, India.
| | - Esam I Azhar
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, 21362, Jeddah, Saudi Arabia.
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, 21362, Jeddah, Saudi Arabia.
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Singh S, Kaur N, Gehlot A. Application of artificial intelligence in drug design: A review. Comput Biol Med 2024; 179:108810. [PMID: 38991316 DOI: 10.1016/j.compbiomed.2024.108810] [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: 03/18/2024] [Revised: 05/31/2024] [Accepted: 06/24/2024] [Indexed: 07/13/2024]
Abstract
Artificial intelligence (AI) is a field of computer science that involves acquiring information, developing rule bases, and mimicking human behaviour. The fundamental concept behind AI is to create intelligent computer systems that can operate with minimal human intervention or without any intervention at all. These rule-based systems are developed using various machine learning and deep learning models, enabling them to solve complex problems. AI is integrated with these models to learn, understand, and analyse provided data. The rapid advancement of Artificial Intelligence (AI) is reshaping numerous industries, with the pharmaceutical sector experiencing a notable transformation. AI is increasingly being employed to automate, optimize, and personalize various facets of the pharmaceutical industry, particularly in pharmacological research. Traditional drug development methods areknown for being time-consuming, expensive, and less efficient, often taking around a decade and costing billions of dollars. The integration of artificial intelligence (AI) techniques addresses these challenges by enabling the examination of compounds with desired properties from a vast pool of input drugs. Furthermore, it plays a crucial role in drug screening by predicting toxicity, bioactivity, ADME properties (absorption, distribution, metabolism, and excretion), physicochemical properties, and more. AI enhances the drug design process by improving the efficiency and accuracy of predicting drug behaviour, interactions, and properties. These approaches further significantly improve the precision of drug discovery processes and decrease clinical trial costs leading to the development of more effective drugs.
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Affiliation(s)
- Simrandeep Singh
- Department of Electronics & Communication Engineering, UCRD, Chandigarh University, Gharuan, Punjab, India.
| | - Navjot Kaur
- Department of Pharmacognosy, Amar Shaheed Baba Ajit Singh Jujhar Singh Memorial College of Pharmacy, Bela, Ropar, India
| | - Anita Gehlot
- Uttaranchal Institute of technology, Uttaranchal University, Dehradun, India
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9
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Bai X, Shang J, Cao X, Li M, Yu H, Wu C, Yang M, Yue X. Proteomic and phosphoproteomic reveal immune-related function of milk fat globule membrane in bovine milk of different lactation periods. Food Chem 2024; 451:139295. [PMID: 38729042 DOI: 10.1016/j.foodchem.2024.139295] [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: 09/16/2023] [Revised: 02/04/2024] [Accepted: 04/07/2024] [Indexed: 05/12/2024]
Abstract
Information regarding protein expression and phosphorylation modifications in the bovine milk fat globule membrane is scarce, particularly throughout various lactation periods. This study employed a complete proteome and phosphoproteome between bovine colostrum and mature milk. A total of 11 proteins were seen in both protein expression and phosphorylation levels. There were 400 proteins identified in only protein expression, and 104 phosphoproteins identified in only phosphorylation levels. A total of 232 significant protein characteristics were identified within the proteome and significant phosphorylation sites within 86 phosphoproteins of the phosphoproteome. Biological activities and pathways primarily exhibited associations with the immune system. Simultaneously, a comprehensive analysis of proteins and phosphorylation sites using a multi-omics approach. Hence, the data we have obtained has the potential to expand our understanding of how the bovine milk fat globule membrane might be utilized as a beneficial component in dairy products.
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Affiliation(s)
- Xue Bai
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China
| | - Jingwen Shang
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China
| | - Xueyan Cao
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China
| | - Mohan Li
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China
| | - Hong Yu
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China
| | - Chunshuang Wu
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China
| | - Mei Yang
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China.
| | - Xiqing Yue
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China
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10
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Shi J, Wen K, Mui S, Li H, Liao H, He C, Yan Y, Zhou Z, Xiao Z. Integrated analysis reveals an aspartate metabolism-related gene signature for predicting the overall survival in patients with hepatocellular carcinoma. Clin Transl Oncol 2024; 26:2181-2197. [PMID: 38472558 DOI: 10.1007/s12094-024-03431-6] [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: 01/27/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Deregulating cellular metabolism is one of the prominent hallmarks of malignancy, with a critical role in tumor survival and growth. However, the role of reprogramming aspartate metabolism in hepatocellular carcinoma (HCC) are largely unknown. METHODS The multi-omics data of HCC patients were downloaded from public databases. Univariate and multivariate stepwise Cox regression were used to establish an aspartate metabolism-related gene signature (AMGS) in HCC. The Kaplan-Meier and receiver operating characteristic curve analyses were performed to evaluate the predictive ability for overall survival (OS) in HCC patients. Gene set enrichment analysis and immune infiltration analysis were operated to determine the potential mechanisms underlying the AMGS. Single-cell RNA sequencing (scRNA-seq) data of liver cancer stem cells were visualized by t-SNE algorithm. In vivo and in vitro experiments were implemented to investigate the biological function of CAD in HCC. In addition, a nomogram based on the AMGS and clinicopathologic characteristics was constructed by univariate and multivariate Cox regression analyses. RESULTS Patients in the high-AMGS subgroup exerted advanced tumor status and poor prognosis. Mechanistically, the high-AMGS subgroup patients had significantly enhanced proliferation and stemness-related pathways, increased infiltration of regulatory T cells and upregulated expression levels of suppressive immune checkpoints in the tumor immune microenvironment. Notably, scRNA-seq data revealed CAD, one of the aspartate metabolism-related gene, is significantly upregulated in liver cancer stem cells. Silencing CAD inhibited proliferative capacity and stemness properties of HCC cells in vitro and in vivo. Finally, a novel nomogram based on the AMGS showed an accurate prediction in HCC patients. CONCLUSIONS The AMGS represents a promising prognostic value for HCC patients, providing a perspective for finding novel biomarkers and therapeutic targets for HCC.
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Affiliation(s)
- Juanyi Shi
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Kai Wen
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Sintim Mui
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Huoming Li
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Hao Liao
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Chuanchao He
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Yongcong Yan
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China.
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China.
| | - Zhenyu Zhou
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China.
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China.
| | - Zhiyu Xiao
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China.
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China.
- Shenshan Medical Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Shanwei, 516621, Guangdong, China.
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11
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Liang M, Dong S, Guo Y, Zhang Y, Xiao X, Ma J, Jiang X, Yu W. Exploration of the potential mechanism of aqueous extract of Artemisia capillaris for the treatment of non-alcoholic fatty liver disease based on network pharmacology and experimental verification. J Pharm Pharmacol 2024:rgae061. [PMID: 39186724 DOI: 10.1093/jpp/rgae061] [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: 01/10/2024] [Accepted: 08/06/2024] [Indexed: 08/28/2024]
Abstract
OBJECTIVES Non-alcoholic fatty liver disease (NAFLD) is a nutritional and metabolic disease with a high prevalence today. Artemisia capillaris has anti-inflammatory, antioxidant, and other effects. However, the mechanism of A. capillaris in treating NAFLD is still poorly understood. METHODS This study explored the mechanism of A. capillaris in the treatment of NAFLD through network pharmacology and molecular docking, and verified the results through in vivo experiments using a high-fat diet-induced mouse model and in vitro experiments using an oleic acid-induced HepG2 cell model. KEY FINDINGS Aqueous extract of A. capillaris (AEAC) can reduce blood lipids, reduce liver lipid accumulation and liver inflammation in NAFLD mice, and improve NAFLD. Network pharmacology analysis revealed that 51 drug ingredients in A. capillaris correspond to 370 targets that act on NAFLD. GEO data mining obtained 93 liver differentially expressed genes related to NAFLD. In the UHPLC-MS detection results, 36 components were characterized and molecular docked with JNK. Verified in vitro and in vivo, the results show that JNK and the phosphorylation levels of IL-6, IL-1β, c-Jun, c-Fos, and CCL2 are key targets and pathways. CONCLUSIONS This study confirmed that AEAC reduces lipid accumulation and inflammation in the liver of NAFLD mice by inhibiting the JNK/AP-1 pathway.
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Affiliation(s)
- Meng Liang
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Siyu Dong
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Yi Guo
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Yuyi Zhang
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Xiao Xiao
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Jun Ma
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
- Institute of Chinese Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
- Heilongjiang Provincial Key Laboratory for Prevention and Control of Common Animal Diseases, Northeast Agricultural University, Harbin, 150030, China
| | - Xiaowen Jiang
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Wenhui Yu
- Department of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
- Institute of Chinese Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
- Heilongjiang Provincial Key Laboratory for Prevention and Control of Common Animal Diseases, Northeast Agricultural University, Harbin, 150030, China
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12
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Liu T, Zhu C, Duan Z, Ma P, Ma X, Fan D. Network Pharmacological Analysis Combined with Experimental Verification to Explore the Effect of Ginseng Polypeptide on the Improvement of Diabetes Symptoms in db/db Mice. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:18537-18551. [PMID: 39129180 DOI: 10.1021/acs.jafc.4c04949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Diabetes mellitus is a typical metabolic disease that has become a major threat to human health worldwide. Ginseng polypeptide (GP), a small molecule active substance isolated from ginseng, has shown positive hypoglycemic effects in preliminary studies. However, its mechanism in ameliorating multiorgan damage in db/db mice is unclear. In this study, we utilized network pharmacology, molecular docking, and animal experiments to explore the targets and biological mechanisms of GP to ameliorate multiorgan damage in T2DM. The results showed that GP improves T2DM by inhibiting inflammation and oxidative damage, thereby alleviating hyperglycemia, insulin resistance, and multiorgan damage in db/db mice. These effects are potentially mediated through the PI3K-Akt signaling pathway and the MAPK signaling pathway. This study establishes GP's efficacy in alleviating T2DM and provides a robust theoretical basis for the development of new drugs or functional foods for treating this disease.
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Affiliation(s)
- Tianzhu Liu
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710069, China
| | - Chenhui Zhu
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710069, China
| | - Zhiguang Duan
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710069, China
| | - Pei Ma
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710069, China
| | - Xiaoxuan Ma
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710069, China
| | - Daidi Fan
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710069, China
- Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710069, China
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13
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Choi ES, Hnath B, Sha CM, Dokholyan NV. Unveiling the double-edged sword: SOD1 trimers possess tissue-selective toxicity and bind septin-7 in motor neuron-like cells. Structure 2024:S0969-2126(24)00319-8. [PMID: 39208794 DOI: 10.1016/j.str.2024.08.002] [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: 04/11/2024] [Revised: 06/10/2024] [Accepted: 08/02/2024] [Indexed: 09/04/2024]
Abstract
Misfolded species of superoxide dismutase 1 (SOD1) are associated with increased death in amyotrophic lateral sclerosis (ALS) models compared to insoluble protein aggregates. The mechanism by which structurally independent SOD1 trimers cause cellular toxicity is unknown but may drive disease pathology. Here, we uncovered the SOD1 trimer interactome-a map of potential tissue-selective protein-binding partners in the brain, spinal cord, and skeletal muscle. We identified binding partners and key pathways associated with SOD1 trimers and found that trimers may affect normal cellular functions such as dendritic spine morphogenesis and synaptic function in the central nervous system and cellular metabolism in skeletal muscle. We discovered SOD1 trimer-selective enrichment of genes. We performed detailed computational and biochemical characterization of SOD1 trimer protein binding for septin-7. Our investigation highlights key proteins and pathways within distinct tissues, revealing a plausible intersection of genetic and pathophysiological mechanisms in ALS through interactions involving SOD1 trimers.
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Affiliation(s)
- Esther Sue Choi
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA; Medical Scientist Training Program, Penn State College of Medicine, Hershey, PA, USA
| | - Brianna Hnath
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA; Department of Biomedical Engineering, Penn State University, University Park, PA, USA
| | - Congzhou Mike Sha
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA; Medical Scientist Training Program, Penn State College of Medicine, Hershey, PA, USA
| | - Nikolay V Dokholyan
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA; Department of Biomedical Engineering, Penn State University, University Park, PA, USA; Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA, USA; Department of Chemistry, Penn State University, University Park, PA, USA.
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14
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Zhu X, Gao J, Qiu C. Integrative analysis reveals key lysosomal genes as potential therapeutic targets in Alzheimer's disease. Metab Brain Dis 2024:10.1007/s11011-024-01409-5. [PMID: 39150655 DOI: 10.1007/s11011-024-01409-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 08/06/2024] [Indexed: 08/17/2024]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder with early autophagy deficits. Our study probed the role of lysosomal-related genes (LRGs) in AD. Using the Gene Expression Omnibus (GEO) database, we analyzed differentially expressed genes (DEGs) in AD. AD-related genes and lysosomal-related genes (LRGs) were extracted from public databases. Leveraging the UpSetR package, we identified differentially expressed LRGs (DE-LRGs). Subsequently, consensus cluster analysis was used to stratify AD patients into distinct molecular subtypes based on DE-LRGs. Immune cell patterns were studied via Single-Sample Gene Set Enrichment Analysis (ssGSEA). Molecular pathways were assessed through Gene Set Variation Analysis (GSVA), while Mendelian Randomization (MR) discerned potential gene-AD causations. To reinforce our bioinformatics findings, we conducted in vitro experiments. In total, 52 DE-LRGs were identified, with LAMP1, VAMP2, and CTSB as standout hub genes. Leveraging the 52 DE-LRGs, AD patients were categorized into three distinct molecular subtypes. Interestingly, the three aforementioned hub genes exhibited significant predictive accuracy for AD differentiation across the subtypes. The ssGSEA further illuminated correlations between LAMP1, VAMP2, and CTSB with plasma cells, fibroblasts, eosinophils, and endothelial cells. GSVA analysis underscored significant associations of LAMP1, VAMP2, and CTSB with NOTCH, TGFβ, and P53 pathways. Compellingly, MR findings indicated a potential causative relationship between LAMP1, CTSB, and AD. Augmenting our bioinformatics conclusions, in vitro tests revealed that LAMP1 potentially alleviates AD progression by amplifying autophagic processes. LAMP1 and CTSB emerge as potential AD biomarkers, paving the way for innovative therapeutic interventions.
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Affiliation(s)
- Xiangzhen Zhu
- Department of Psychiatry, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310006, Zhejiang, China
| | - Jingfang Gao
- Department of Psychiatry, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310006, Zhejiang, China
| | - Chao Qiu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, 310006, Zhejiang, China.
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), No.54 Youdian Road, Hangzhou, 310006, Zhejiang, China.
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15
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Wen Y, Yi F, Zhang J, Wang Y, Zhao C, Zhao B, Wang J. Uncovering the protective mechanism of baicalin in treatment of fatty liver based on network pharmacology and cell model of NAFLD. Int Immunopharmacol 2024; 141:112954. [PMID: 39153306 DOI: 10.1016/j.intimp.2024.112954] [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: 06/12/2024] [Revised: 07/25/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
Excessive nonesterified fatty acids (NEFA) impair cellular metabolism and will induce fatty liver formation in dairy cows during the periparturient. Baicalin, an active flavonoid, has great potential efficacy in alleviating lipid accumulation and ameliorating the development of fatty liver disease. Nevertheless, its mechanism remains unclear. Here, the potential mechanism of baicalin on system levels was explored using network pharmacology and in vitro experiments. Firstly, the target of baicalin and fatty liver disease was predicted, and then the protein-protein interaction (PPI) network was constructed. In addition, the Kyoto Encyclopedia of Genes and Genomes (KEGG) (q-value) pathway enrichment is performed through the Database for Annotation, Visualization, and Integrated Discovery (DAVID) server. Finally, the results of the network analysis of the in vitro treatment of bovine hepatocytes by NEFA were confirmed. The results showed that 33 relevant targets of baicalin in the treatment of liver fatty were predicted by network pharmacology, and the top 20 relevant pathways were extracted by KEGG database. Baicalin treatment can reduce triglyceride (TAG) content and lipid droplet accumulation in NEFA-treated bovine hepatocytes, and the mechanism is related to inhibiting lipid synthesis and promoting lipid oxidation. The alleviating effect of baicalin on fatty liver may be related to the up-regulation of solute vector family member 4 (SLC2A4), Down-regulated AKT serine/threonine kinase 1 (AKT1), Peroxisome proliferator-activated receptor gamma (PPARG), Epidermal growth factor receptor (EGFR), tumor necrosis factor (TNF), Interleukin 6 (IL-6) were associated. These results suggested that baicalin may modulate key inflammatory markers, and lipogenesis processes to prevent fatty liver development in dairy cows.
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Affiliation(s)
- Yongqiang Wen
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China
| | - Fanxuan Yi
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China
| | - Jia Zhang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China
| | - Yazhou Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China
| | - Chenxu Zhao
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China
| | - Baoyu Zhao
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China
| | - Jianguo Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
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16
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Mafi S, Dehghani M, Khalvati B, Abidi H, Ghorbani M, Jalali P, Whichelo R, Salehi Z, Markowska A, Reyes A, Pecic S, Łos MJ, Ghavami S, Nikseresht M. Targeting PERK and GRP78 in colorectal cancer: Genetic insights and novel therapeutic approaches. Eur J Pharmacol 2024; 982:176899. [PMID: 39153651 DOI: 10.1016/j.ejphar.2024.176899] [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: 06/21/2024] [Revised: 08/01/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
Colorectal cancer (CRC) ranks among the leading causes of cancer-related deaths worldwide. Enhancing CRC diagnosis and prognosis requires the development of improved biomarkers and therapeutic targets. Emerging evidence suggests that the unfolded protein response (UPR) plays a pivotal role in CRC progression, presenting new opportunities for diagnosis, treatment, and prevention. This study hypothesizes that genetic variants in endoplasmic reticulum (ER) stress response genes influence CRC susceptibility. We examined the frequencies of SNPs in PERK (rs13045) and GRP78/BiP (rs430397) within a South Iranian cohort. We mapped the cellular and molecular features of PERK and GRP78 genes in colorectal cancer, observing their differential expressions in tumor and metastatic tissues. We constructed co-expression and protein-protein interaction networks and performed gene set enrichment analysis, highlighting autophagy as a significant pathway through KEGG. Furthermore, the study included 64 CRC patients and 60 control subjects. DNA extraction and genotyping were conducted using high-resolution melting (HRM) analysis. Significant differences in PERK and GRP78 expressions were observed between CRC tissues and controls. Variations in PERK and GRP78 genotypes were significantly correlated with CRC risk. Utilizing a Multi-Target Directed Ligands approach, a dual PERK/GRP78 inhibitor was designed and subjected to molecular modeling studies. Docking experiments indicated high-affinity binding between the proposed inhibitor and both genes, PERK and GRP78, suggesting a novel therapy for CRC. These findings highlight the importance of understanding genetic backgrounds in different populations to assess CRC risk. Polymorphisms in UPR signaling pathway elements may serve as potential markers for predicting CRC susceptibility, paving the way for personalized therapeutic strategies.
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Affiliation(s)
- Sahar Mafi
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Mehdi Dehghani
- Hematology and Medical Oncology Department, Hematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Bahman Khalvati
- Medicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Hassan Abidi
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Marziyeh Ghorbani
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Pooya Jalali
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Rachel Whichelo
- College of Biological Science, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Zahra Salehi
- Hematology, Oncology and Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran
| | - Aleksandra Markowska
- Faculty of Health Sciences, Medical University of Warsaw, 03-242, Warsaw, Poland
| | - Amanda Reyes
- Department of Chemistry and Biochemistry, California State University, Fullerton, CA, 92834, United States
| | - Stevan Pecic
- Department of Chemistry and Biochemistry, California State University, Fullerton, CA, 92834, United States
| | - Marek J Łos
- Biotechnology Center, Silesian University of Technology, Gliwice, Poland; Linkocare LifeSciences AB, Linkoping, Sweden
| | - Saeid Ghavami
- Faculty of Medicine, Rolna 43, Katowice, Poland; Paul Albrechtsen Research Institute, CancerCare Manitoba, Winnipeg, MB, Canada; Department of Human Anatomy and Cell Science, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
| | - Mohsen Nikseresht
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
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17
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Liu Y, Han B, Tan L, Ji D, Chen X. IGF1 and CXCR4 Respectively Related With Inhibited M1 Macrophage Polarization in Keloids. J Craniofac Surg 2024:00001665-990000000-01799. [PMID: 39145631 DOI: 10.1097/scs.0000000000010479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Accepted: 06/17/2024] [Indexed: 08/16/2024] Open
Abstract
PURPOSE The pathophysiology of keloid remains unclear. Exploring the immune heterogeneity and new biomarkers of keloids can help design new therapeutic targets for keloid treatments and prevention. METHODS The authors performed single-cell RNA sequencing analysis and bulk data differential gene expression analysis of public datasets(GSE92566 and GSE163973). They used Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA), and immune infiltration analysis to identify the function of the differential expressed genes. Besides, the authors performed qt-PCR on keloid tissue and adjacent normal tissues from 3 patients for further verification. RESULTS M2 macrophage increased in keloid samples than M1 macrophage. The authors identified 2 potential novel biomarkers of keloid, IGF1 and CXCR4, which could inhibit M1 macrophage polarization. The potential mechanism could be inhibiting immune responses and anti-inflammatory activities through INF signaling and E2F targeting. The differential expression of the 2 genes was verified by clinical samples. CONCLUSIONS The authors identified 2 immune signaling molecules associated with keloid formation (IGF1 and CXCR4) and analyzed their potential pathogenic mechanisms.
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Affiliation(s)
- Ying Liu
- Department of Plastic Surgery, Beijing Hospital of Integrated Traditional Chinese and Western Medicine
- Department of Scar & Wound Treatment, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Bing Han
- Department of Scar & Wound Treatment, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Liuchang Tan
- Department of Plastic and Cosmetic Surgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Dongshuo Ji
- Department of Plastic Surgery, Beijing Hospital of Integrated Traditional Chinese and Western Medicine
| | - Xiaofang Chen
- Department of Plastic and Reconstructive Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing
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18
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Deng M, Tang C, Yin L, Yang J, Chen Z, Jiang Y, Huang Y, Chen C. Screening chondrocyte necroptosis-related genes in the diagnosis and treatment of osteoarthritis. Heliyon 2024; 10:e35263. [PMID: 39170298 PMCID: PMC11336430 DOI: 10.1016/j.heliyon.2024.e35263] [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: 04/24/2024] [Revised: 07/18/2024] [Accepted: 07/25/2024] [Indexed: 08/23/2024] Open
Abstract
Background Osteoarthritis (OA) is the most common form of joint diseases, with hallmark of cartilage degeneration. Recent studies have shown that the pathogenesis of OA is associated with chondrocyte necroptosis. Methods In this study, we used single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing data to analyze necroptosis regulation in OA chondrocytes. We performed enrichment analysis, carried out experimental validation, constructed machine learning models, and docked drug molecules. Results After least absolute shrinkage and selection operator (LASSO) algorithm screening, 4 hub genes (RIPK3, CYBB, HSP90AB1, and TRAF5) with diagnostic characteristics were obtained. Following the comparison of multiple models, the Bayesian model with an average area under curve (AUC) value of 0.944 was finally selected. We found that nimesulide exhibited strong binding affinity to CYBB and HSP90AB1, and experimentally verified that nimesulide reduced the expression of RIPK3 and CYBB, suggesting its potential as an inhibitor of chondrocyte necroptosis. Furthermore, scRNA-seq results showed that necroptosis in OA was significantly upregulated on regulatory chondrocytes (RegC) compared to other chondrocyte subtypes. Conclusions The results indicate that nimesulide might be used to treat OA by inhibiting chondrocyte necroptosis through down-regulation of RIK3 and CYBB genes. This study reveals the role of chondrocyte necroptosis in OA, and suggests a potential therapeutic strategy by regulating necroptosis with nimesulide.
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Affiliation(s)
- Muhai Deng
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Cong Tang
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Li Yin
- Department of Orthopaedics, General Hospital of Western Theater Command, Chengdu, 610083, China
| | - Junjun Yang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Zhiyu Chen
- Orthopedic Laboratory of Chongqing Medical University, Chongqing, 400016, China
- Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yunsheng Jiang
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
| | - Yang Huang
- State Key Laboratory of Trauma, Burns and Combined Injury, Department of Wound Infection and Drug, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Cheng Chen
- College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China
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19
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Aich A, Boshnakovska A, Witte S, Gall T, Unthan-Fechner K, Yousefi R, Chowdhury A, Dahal D, Methi A, Kaufmann S, Silbern I, Prochazka J, Nichtova Z, Palkova M, Raishbrook M, Koubkova G, Sedlacek R, Tröder SE, Zevnik B, Riedel D, Michanski S, Möbius W, Ströbel P, Lüchtenborg C, Giavalisco P, Urlaub H, Fischer A, Brügger B, Jakobs S, Rehling P. Defective mitochondrial COX1 translation due to loss of COX14 function triggers ROS-induced inflammation in mouse liver. Nat Commun 2024; 15:6914. [PMID: 39134548 PMCID: PMC11319346 DOI: 10.1038/s41467-024-51109-y] [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: 05/02/2023] [Accepted: 07/29/2024] [Indexed: 08/15/2024] Open
Abstract
Mitochondrial oxidative phosphorylation (OXPHOS) fuels cellular ATP demands. OXPHOS defects lead to severe human disorders with unexplained tissue specific pathologies. Mitochondrial gene expression is essential for OXPHOS biogenesis since core subunits of the complexes are mitochondrial-encoded. COX14 is required for translation of COX1, the central mitochondrial-encoded subunit of complex IV. Here we describe a COX14 mutant mouse corresponding to a patient with complex IV deficiency. COX14M19I mice display broad tissue-specific pathologies. A hallmark phenotype is severe liver inflammation linked to release of mitochondrial RNA into the cytosol sensed by RIG-1 pathway. We find that mitochondrial RNA release is triggered by increased reactive oxygen species production in the deficiency of complex IV. Additionally, we describe a COA3Y72C mouse, affected in an assembly factor that cooperates with COX14 in early COX1 biogenesis, which displays a similar yet milder inflammatory phenotype. Our study provides insight into a link between defective mitochondrial gene expression and tissue-specific inflammation.
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Affiliation(s)
- Abhishek Aich
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany
| | - Angela Boshnakovska
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
| | - Steffen Witte
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
| | - Tanja Gall
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
| | - Kerstin Unthan-Fechner
- Department of Molecular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
| | - Roya Yousefi
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
| | - Arpita Chowdhury
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
| | - Drishan Dahal
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany
| | - Aditi Methi
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Svenja Kaufmann
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Ivan Silbern
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Institute for Clinical Chemistry, University Medical Center Göttingen, Göttingen, Germany
| | - Jan Prochazka
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the CAS, v.v.i, 252 50, Vestec, Czech Republic
| | - Zuzana Nichtova
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the CAS, v.v.i, 252 50, Vestec, Czech Republic
| | - Marcela Palkova
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the CAS, v.v.i, 252 50, Vestec, Czech Republic
| | - Miles Raishbrook
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the CAS, v.v.i, 252 50, Vestec, Czech Republic
| | - Gizela Koubkova
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the CAS, v.v.i, 252 50, Vestec, Czech Republic
| | - Radislav Sedlacek
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the CAS, v.v.i, 252 50, Vestec, Czech Republic
| | - Simon E Tröder
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Branko Zevnik
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Dietmar Riedel
- Laboratory for Electron Microscopy, Max Planck Institute for Multidisciplinary Sciences, Göttingen, 37077, Germany
| | - Susann Michanski
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany
- Max Planck Institute for Multidisciplinary Science, Department of Neurogenetics, 37077, Göttingen, Germany
| | - Wiebke Möbius
- Max Planck Institute for Multidisciplinary Science, Department of Neurogenetics, 37077, Göttingen, Germany
| | - Philipp Ströbel
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | | | | | - Henning Urlaub
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Institute for Clinical Chemistry, University Medical Center Göttingen, Göttingen, Germany
| | - Andre Fischer
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- German Center for Cardiovascular Research (DZHK), partner site Göttingen, Göttingen, Germany
| | - Britta Brügger
- Heidelberg University Biochemistry Center (BZH), 69120, Heidelberg, Germany
| | - Stefan Jakobs
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany
- Department of NanoBiophotonics, Max Planck Institute for Multidisciplinary Sciences, 37077, Göttingen, Germany
- Clinic of Neurology, University Medical Center Göttingen, 37075, Göttingen, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Translational Neuroinflammation and Automated Microscopy, Goettingen, Germany
| | - Peter Rehling
- Department of Cellular Biochemistry, University Medical Center Göttingen, 37073, Göttingen, Germany.
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany.
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Translational Neuroinflammation and Automated Microscopy, Goettingen, Germany.
- Max Planck Institute for Multidisciplinary Sciences, D-37077, Goettingen, Germany.
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20
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Chai Y, Ma Q, He J, Wei G, Huang A. Rapid Revealing of Quorum Sensing (QS)-Regulated PLA, Biofilm and Lysine Targets of Lactiplantibacillus plantarum L3. Curr Microbiol 2024; 81:303. [PMID: 39127970 DOI: 10.1007/s00284-024-03834-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024]
Abstract
Quorum sensing (QS) can regulate the production of multiple functional factors in bacteria, but the process of identifying its regulatory targets is very complex and labor-intensive. In this study, an efficient and rapid method to find QS targets through prediction was used. The genome of Lactiplantibacillus plantarum (L. plantarum) L3 was sequenced and characterized, and then linked the L. plantarum L3 genome to the STRING database for QS system regulatory target prediction. A total of 3,167,484 base pairs (bps) were examined from the genome of L. plantarum L3, and 30 QS-related genes were discovered (including luxS). The STRING database prediction indicated that the 30 QS-related genes are mainly involved in the regulation of nine metabolic pathways. Furthermore, metE, metK, aroB, cysE, and birA1 were predicted to be regulatory targets of the LuxS/AI-2 QS system, and these five targets were validated based on quantitative real-time PCR and content determination. Successful elucidation of the LuxS/AI-2 QS system's key targets and regulation mechanism in L. plantarum L3 demonstrated the effectiveness of the new approach for predicting QS targets and provides a scientific basis for future work on improving regulation of functional factor production.
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Affiliation(s)
- Yunmei Chai
- Department of Food Science, College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
| | - Qingwen Ma
- Yunnan Normal University, Kunming, 650092, Yunnan, China
| | - Jinze He
- Department of Food Science, College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
| | - Guangqiang Wei
- Department of Food Science, College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan, China
| | - Aixiang Huang
- Department of Food Science, College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
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21
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Shabani M, Eghbali M, Abiri A, Abiri M. Comprehensive microarray analysis of severe preeclampsia placenta to identify differentially expressed genes, biological pathways, hub genes, and their related non-coding RNAs. Placenta 2024; 155:22-31. [PMID: 39121584 DOI: 10.1016/j.placenta.2024.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/03/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024]
Abstract
INTRODUCTION Preeclampsia (PE) is a serious pregnancy-related complication caused by high blood pressure in pregnant women. The severe form has more devastating effects. According to the growing evidence, the placenta is a crucial component in the pathogenesis of PE, and eliminating it will alleviate symptoms. METHODS GEO's severe preeclampsia placenta microarray datasets; GSE147776, GSE66273, GSE102897, and GSE10588, were chosen to identify differentially expressed genes (DEGs) in different biological pathways. The analysis of hub genes and related non-coding RNAs was done as well. RESULTS A total of 347 DEGs with adj p-value <0.05 and ǀlog2FoldChangeǀ> 0.5 were discovered between severe PEs and healthy pregnancies, including 204 over-expressed genes and 143 under-expressed genes. The MCC method identified ISG15, IFI44L, MX2, OAS2, MX1, FN1, LDHA, ITGB3, TKT, HK2 genes as the top ten hub genes. Interactions between hub genes and noncoding RNAs were also conducted. The most enriched pathways were as follows; HIF-1 signaling pathway; Pathways in cancer; Alanine, aspartate and glutamate metabolism; Arginine biosynthesis; Human papillomavirus infection; Glycolysis/Gluconeogenesis; Central carbon metabolism in cancer; Valine, leucine and isoleucine degradation; Cysteine and methionine metabolism; and Galactose metabolism. DISCUSSION This is a secondary data analysis conducted on severe preeclampsia placenta to identify differentially expressed genes, biological pathways, hub-genes, and related noncoding RNAs. Functional studies are crucial to understanding the precise role of these genes in the pathogenesis of PE. Also, accepting a gene as a diagnostic or prognostic marker for early diagnosis and management of PE requires multiple lines of evidence.
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Affiliation(s)
- Maedeh Shabani
- Department of Medical Genetics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Maryam Eghbali
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Ameneh Abiri
- Perinatology Department, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Maryam Abiri
- Department of Medical Genetics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Shahid Akbarabadi Clinical Research Development Unit (ShACRDU), Iran University of Medical Sciences, Tehran, Iran.
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22
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Lalli G, Li Z, Melograna F, Collier J, Moreau Y, Raimondi D, Van Steen K. A python library for the fast and scalable computation of biologically meaningful individual specific networks. Sci Rep 2024; 14:18243. [PMID: 39107347 PMCID: PMC11303555 DOI: 10.1038/s41598-024-69067-2] [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: 02/26/2024] [Accepted: 07/31/2024] [Indexed: 08/10/2024] Open
Abstract
Individual Specific Networks (ISNs) are a tool used in computational biology to infer Individual Specific relationships between biological entities from omics data. ISNs provide insights into how the interactions among these entities affect their respective functions. To address the scarcity of solutions for efficiently computing ISNs on large biological datasets, we present ISN-tractor, a data-agnostic, highly optimized Python library to build and analyse ISNs. ISN-tractor demonstrates superior scalability and efficiency in generating Individual Specific Networks (ISNs) when compared to existing methods such as LionessR, both in terms of time and memory usage, allowing ISNs to be used on large datasets. We show how ISN-tractor can be applied to real-life datasets, including The Cancer Genome Atlas (TCGA) and HapMap, showcasing its versatility. ISN-tractor can be used to build ISNs from various -omics data types, including transcriptomics, proteomics, and genotype arrays, and can detect distinct patterns of gene interactions within and across cancer types. We also show how Filtration Curves provided valuable insights into ISN characteristics, revealing topological distinctions among individuals with different clinical outcomes. Additionally, ISN-tractor can effectively cluster populations based on genetic relationships, as demonstrated with Principal Component Analysis on HapMap data.
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Affiliation(s)
- Giada Lalli
- BIO3 - Systems Medicine Lab, Department of Human Genetics, KU Leuven, Leuven, Belgium.
| | - Zuqi Li
- BIO3 - Systems Medicine Lab, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Federico Melograna
- BIO3 - Systems Medicine Lab, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | | | | | | | - Kristel Van Steen
- BIO3 - Systems Medicine Lab, Department of Human Genetics, KU Leuven, Leuven, Belgium
- BIO3 - Systems Genetics Lab, GIGA-R Medical Genomics, University of Liège, Liège, Belgium
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23
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Firoozbakht F, Elkjaer ML, Handy D, Wang R, Chervontseva Z, Rarey M, Loscalzo J, Baumbach J, Tsoy O. DREAMER: Exploring Common Mechanisms of Adverse Drug Reactions and Disease Phenotypes through Network-Based Analysis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.20.602911. [PMID: 39091742 PMCID: PMC11291051 DOI: 10.1101/2024.07.20.602911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Adverse drug reactions (ADRs) are a major concern in clinical healthcare, significantly affecting patient safety and drug development. This study introduces DREAMER, a novel network-based method for exploring the mechanisms underlying ADRs and disease phenotypes at a molecular level by leveraging a comprehensive knowledge graph obtained from various datasets. By considering drugs and diseases that cause similar phenotypes, and investigating their commonalities regarding their impact on specific modules of the protein-protein interaction network, DREAMER can robustly identify protein sets associated with the biological mechanisms underlying ADRs and unravel the causal relationships that contribute to the observed clinical outcomes. Applying DREAMER to 649 ADRs, we identified proteins associated with the mechanism of action for 67 ADRs across multiple organ systems. In particular, DREAMER highlights the importance of GABAergic signaling and proteins of the coagulation pathways for personality disorders and intracranial hemorrhage, respectively. We further demonstrate the application of DREAMER in drug repurposing and propose sotalol, ranolazine, and diltiazem as candidate drugs to be repurposed for cardiac arrest. In summary, DREAMER effectively detects molecular mechanisms underlying phenotypes.
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24
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Zourelidis A, Trojanowicz B, Sunami Y, Hause G, Vieweg D, Kleeff J. Distance-depending transcriptome changes of pancreatic stellate cells in paracrine pancreatic ductal adenocarcinoma co-culture models. Sci Rep 2024; 14:18030. [PMID: 39098880 PMCID: PMC11298529 DOI: 10.1038/s41598-024-68148-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 07/19/2024] [Indexed: 08/06/2024] Open
Abstract
Pancreatic stellate cells (PSC) are one source of cancer-associated fibroblasts (CAF) and play, therefore, an essential role in pancreatic ductal adenocarcinoma (PDA). Paracrine signalling between PDA cells and CAF has been widely studied, yet external influences on paracrine crosstalk are poorly understood. This study aimed to gain a deeper insight into the communication of PSC and cancer cells under different co-culture conditions via analysis of PSC gene expression profiles. Two contactless co-culture models with tumor cells from the p48-Cre; lox-stop-lox-KrasG12D/+; lox-stop-lox-Trp53R172H/+ mouse model (KPC) and murine PSC separated through a microporous membrane and grown in different compartments (standard co-culture) or on different sides of the same membrane (inverse co-culture), were established. RNA-Sequencing analysis of PSC mRNA was performed 24 h and 72 h after co-culture with KPC cells. For selected genes, results were confirmed by quantitative RT-PCR and immunocytochemistry. Standard co-culture displayed 19 differentially expressed genes (DEG) at 24 h and 52 DEG at 72 h. In inverse co-culture, 800 DEG at 24 h and 2213 DEG at 72 h were enriched. PSC showed great heterogeneity in their gene expression profiles; however, mutually regulated genes of both co-cultures, such as VCAN and CHST11, could be identified. VCAN-protein-protein interaction-network analysis revealed several shared genes between co-culture models, such as SDC4 and FN1. In conclusion, PSC show a varying susceptibility to cancer cell signals depending on the co-culture method, with intensified transcriptome changes with closer proximity.
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Affiliation(s)
- Anais Zourelidis
- Department of Visceral, Vascular and Endocrine Surgery, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
| | - Bogusz Trojanowicz
- Department of Visceral, Vascular and Endocrine Surgery, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Yoshiaki Sunami
- Department of Visceral, Vascular and Endocrine Surgery, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Gerd Hause
- Biocenter, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - David Vieweg
- Department of Visceral, Vascular and Endocrine Surgery, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Jörg Kleeff
- Department of Visceral, Vascular and Endocrine Surgery, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Halle, Germany
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25
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Jiao F, Yu C, Wheat A, Chen L, Lih TSM, Zhang H, Huang L. DSBSO-Based XL-MS Analysis of Breast Cancer PDX Tissues to Delineate Protein Interaction Network in Clinical Samples. J Proteome Res 2024; 23:3269-3279. [PMID: 38334954 PMCID: PMC11296914 DOI: 10.1021/acs.jproteome.3c00832] [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] [Indexed: 02/10/2024]
Abstract
Protein-protein interactions (PPIs) are fundamental to understanding biological systems as protein complexes are the active molecular modules critical for carrying out cellular functions. Dysfunctional PPIs have been associated with various diseases including cancer. Systems-wide PPI analysis not only sheds light on pathological mechanisms, but also represents a paradigm in identifying potential therapeutic targets. In recent years, cross-linking mass spectrometry (XL-MS) has emerged as a powerful tool for defining endogenous PPIs of cellular networks. While proteome-wide studies have been performed in cell lysates, intact cells and tissues, applications of XL-MS in clinical samples have not been reported. In this study, we adopted a DSBSO-based in vivo XL-MS platform to map interaction landscapes from two breast cancer patient-derived xenograft (PDX) models. As a result, we have generated a PDX interaction network comprising 2,557 human proteins and identified interactions unique to breast cancer subtypes. Interestingly, most of the observed differences in PPIs correlated well with protein abundance changes determined by TMT-based proteome quantitation. Collectively, this work has demonstrated the feasibility of XL-MS analysis in clinical samples, and established an analytical workflow for tissue cross-linking that can be generalized for mapping PPIs from patient samples in the future to dissect disease-relevant cellular networks.
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Affiliation(s)
- Fenglong Jiao
- Department of Physiology and Biophysics, University of California, Irvine, CA 92697
| | - Clinton Yu
- Department of Physiology and Biophysics, University of California, Irvine, CA 92697
| | - Andrew Wheat
- Department of Physiology and Biophysics, University of California, Irvine, CA 92697
| | - Lijun Chen
- Department of Pathology and Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21231
| | - Tung-Shing Mamie Lih
- Department of Pathology and Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21231
| | - Hui Zhang
- Department of Pathology and Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21231
| | - Lan Huang
- Department of Physiology and Biophysics, University of California, Irvine, CA 92697
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Kai J, Huang H, Su J, Chen Q. Identification of shared immune infiltration characteristic molecules in dermatomyositis and nasopharyngeal carcinoma using bioinformatics: Traits in dermatomyositis and nasopharyngeal cancer. Skin Res Technol 2024; 30:e13871. [PMID: 39081134 PMCID: PMC11289422 DOI: 10.1111/srt.13871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 07/05/2024] [Indexed: 08/03/2024]
Abstract
BACKGROUND Dermatomyositis (DM) is a kind of dermatologically associated autoimmune disease that is notably associated with an increased risk of concurrent malignancies, although the underlying mechanisms remain to be fully elucidated. The purpose of this investigation was to examine the immunological parallels between DM and nasopharyngeal carcinoma (NPC), with the aim of identifying pivotal biomarkers that could facilitate a deeper understanding and enhance the predictive capabilities of NPC in DM patients. METHOD Data for DM and NPC were sourced from the Gene Expression Omnibus (GEO) database. Immune infiltration was analyzed using the "cibersort" R package, differentially expressed genes (DEGs) were identified with the "limma" package, and functional pathways were investigated through Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. Characteristic genes were determined by Utilizing Protein-Protein Interaction (PPI) and Least Absolute Shrinkage and Selection Operator (LASSO), and their features were validated using the GSE53819 dataset. RESULTS In comparison to normal samples, significant infiltration of macrophage M1 was observed in both DM and NPC. The analysis revealed 77 DEGs in DM and 1051 DEGs in NPC, with 22 genes found to be co-DEGs. Following PPI and LASSO analysis, six distinctive genes were retained. Notably, CCL8, IFIH1, CXCL10, and CXCL11 exhibited optimal diagnostic efficacy for NPC and displayed significant correlation with macrophage M1 infiltration within the carcinoma. CONCLUSION Four characteristic genes, CCL8, IFIH1, CXCL10, and CXCL11 are risk factors for both DM and NPC. They exhibit a robust correlation with the incidence of NPC and offer a commendable diagnostic efficacy. Furthermore, they may serve as prospective predictive biomarkers for the emergence of NPC in DM.
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Affiliation(s)
- Jinyan Kai
- Department of Clinical Medical LaboratoryThe Affiliated Second Hospital of Xiamen Medical CollegeXiamenFujianChina
| | - Haitao Huang
- Department of MicrobiologyGuilin Medical UniversityGuilinGuangxiChina
| | - Jiaqi Su
- Department of Clinical Medical LaboratoryThe Affiliated Second Hospital of Xiamen Medical CollegeXiamenFujianChina
| | - Qiong Chen
- Department of Traditional Chinese MedicineShanghai General Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghaiChina
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27
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Suárez-Vega A, Gutiérrez-Gil B, Fonseca PAS, Hervás G, Pelayo R, Toral PG, Marina H, de Frutos P, Arranz JJ. Milk transcriptome biomarker identification to enhance feed efficiency and reduce nutritional costs in dairy ewes. Animal 2024; 18:101250. [PMID: 39096599 DOI: 10.1016/j.animal.2024.101250] [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: 02/05/2024] [Revised: 07/03/2024] [Accepted: 07/05/2024] [Indexed: 08/05/2024] Open
Abstract
In recent years, rising prices for high-quality protein-based feeds have significantly increased nutrition costs. Consequently, investigating strategies to reduce these expenses and improve feed efficiency (FE) have become increasingly important for the dairy sheep industry. This research investigates the impact of nutritional protein restriction (NPR) during prepuberty and FE on the milk transcriptome of dairy Assaf ewes (sampled during the first lactation). To this end, we first compared transcriptomic differences between NPR and control ewes. Subsequently, we evaluated gene expression differences between ewes with divergent FE, using feed conversion ratio (FCR), residual feed intake (RFI), and consensus classifications of high- and low-FE animals for both indices. Lastly, we assess milk gene expression as a predictor of FE phenotype using random forest. No effect was found for the prepubertal NPR on milk performance or FE. Moreover, at the milk transcriptome level, only one gene, HBB, was differentially expressed between the NPR (n = 14) and the control group (n = 14). Further, the transcriptomic analysis between divergent FE sheep revealed 114 differentially expressed genes (DEGs) for RFI index (high-FERFI = 10 vs low-FERFI = 10), 244 for FCR (high-FEFCR = 10 vs low-FEFCR = 10), and 1 016 DEGs between divergent consensus ewes for both indices (high-FEconsensus = 8 vs low-FEconsensus = 8). These results underscore the critical role of selected FE indices for RNA-Seq analyses, revealing that consensus divergent animals for both indices maximise differences in transcriptomic responses. Genes overexpressed in high-FEconsensus ewes were associated with milk production and mammary gland development, while low-FEconsensus genes were linked to higher metabolic expenditure for tissue organisation and repair. The best prediction accuracy for FE phenotype using random forest was obtained for a set of 44 genes consistently differentially expressed across lactations, with Spearman correlations of 0.37 and 0.22 for FCR and RFI, respectively. These findings provide insights into potential sustainability strategies for dairy sheep, highlighting the utility of transcriptomic markers as FE proxies.
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Affiliation(s)
- A Suárez-Vega
- Dpto. Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24007 Leon, Spain
| | - B Gutiérrez-Gil
- Dpto. Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24007 Leon, Spain
| | - P A S Fonseca
- Dpto. Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24007 Leon, Spain
| | - G Hervás
- Instituto de Ganadería de Montaña (CSIC-University of León), Finca Marzanas s/n, 24346 Grulleros, León, Spain
| | - R Pelayo
- Dpto. Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24007 Leon, Spain
| | - P G Toral
- Instituto de Ganadería de Montaña (CSIC-University of León), Finca Marzanas s/n, 24346 Grulleros, León, Spain
| | - H Marina
- Dpto. Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24007 Leon, Spain
| | - P de Frutos
- Instituto de Ganadería de Montaña (CSIC-University of León), Finca Marzanas s/n, 24346 Grulleros, León, Spain
| | - J J Arranz
- Dpto. Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, 24007 Leon, Spain.
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Paiva I, Seguin J, Grgurina I, Singh AK, Cosquer B, Plassard D, Tzeplaeff L, Le Gras S, Cotellessa L, Decraene C, Gambi J, Alcala-Vida R, Eswaramoorthy M, Buée L, Cassel JC, Giacobini P, Blum D, Merienne K, Kundu TK, Boutillier AL. Dysregulated expression of cholesterol biosynthetic genes in Alzheimer's disease alters epigenomic signatures of hippocampal neurons. Neurobiol Dis 2024; 198:106538. [PMID: 38789057 DOI: 10.1016/j.nbd.2024.106538] [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: 12/29/2023] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 05/26/2024] Open
Abstract
Aging is the main risk factor of cognitive neurodegenerative diseases such as Alzheimer's disease, with epigenome alterations as a contributing factor. Here, we compared transcriptomic/epigenomic changes in the hippocampus, modified by aging and by tauopathy, an AD-related feature. We show that the cholesterol biosynthesis pathway is severely impaired in hippocampal neurons of tauopathic but not of aged mice pointing to vulnerability of these neurons in the disease. At the epigenomic level, histone hyperacetylation was observed at neuronal enhancers associated with glutamatergic regulations only in the tauopathy. Lastly, a treatment of tau mice with the CSP-TTK21 epi-drug that restored expression of key cholesterol biosynthesis genes counteracted hyperacetylation at neuronal enhancers and restored object memory. As acetyl-CoA is the primary substrate of both pathways, these data suggest that the rate of the cholesterol biosynthesis in hippocampal neurons may trigger epigenetic-driven changes, that may compromise the functions of hippocampal neurons in pathological conditions.
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Affiliation(s)
- Isabel Paiva
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France.
| | - Jonathan Seguin
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Iris Grgurina
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Akash Kumar Singh
- Transcription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, India
| | - Brigitte Cosquer
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Damien Plassard
- University of Strasbourg, CNRS UMR7104, Inserm U1258 - GenomEast Platform - IGBMC - Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67404 Illkirch, France
| | - Laura Tzeplaeff
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Stephanie Le Gras
- University of Strasbourg, CNRS UMR7104, Inserm U1258 - GenomEast Platform - IGBMC - Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67404 Illkirch, France
| | - Ludovica Cotellessa
- University of Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Postnatal Brain, Lille Neuroscience & Cognition, UMR-S1172, FHU 1000 Days for Health, 59000 Lille, France
| | - Charles Decraene
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Johanne Gambi
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Rafael Alcala-Vida
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Muthusamy Eswaramoorthy
- Chemistry and Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India
| | - Luc Buée
- University of Lille, Inserm, CHU Lille, UMR-S1172 LilNCog - Lille Neuroscience & Cognition, Lille, France; Alzheimer and Tauopathies, LabEx DISTALZ, France
| | - Jean-Christophe Cassel
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Paolo Giacobini
- University of Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Postnatal Brain, Lille Neuroscience & Cognition, UMR-S1172, FHU 1000 Days for Health, 59000 Lille, France
| | - David Blum
- University of Lille, Inserm, CHU Lille, UMR-S1172 LilNCog - Lille Neuroscience & Cognition, Lille, France; Alzheimer and Tauopathies, LabEx DISTALZ, France
| | - Karine Merienne
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France
| | - Tapas K Kundu
- Transcription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, India
| | - Anne-Laurence Boutillier
- University of Strasbourg, Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France; CNRS, UMR7364 - Laboratoire de Neuroscience Cognitives et Adaptatives (LNCA), Strasbourg F-67000, France.
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Lee CS, Shang R, Wang F, Khayambashi P, Wang H, Araujo G, Puri K, Vlodavsky I, Hussein B, Rodrigues B. Heparanase Stimulation of Physiologic Cardiac Hypertrophy Is Suppressed After Chronic Diabetes, Resulting in Cardiac Remodeling and Dysfunction. Diabetes 2024; 73:1300-1316. [PMID: 38771953 DOI: 10.2337/db24-0217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 05/09/2024] [Indexed: 05/23/2024]
Abstract
In addition to controlling smooth muscle tone in coronary vessels, endothelial cells also influence subjacent cardiomyocyte growth. Because heparanase, with exclusive expression in endothelial cells, enables extracellular matrix remodeling, angiogenesis, metabolic reprogramming, and cell survival, it is conceivable that it could also encourage development of cardiac hypertrophy. Global heparanase overexpression resulted in physiologic cardiac hypertrophy, likely an outcome of HSPG clustering and activation of hypertrophic signaling. The heparanase autocrine effect of releasing neuregulin-1 could have also contributed to this overexpression. Hyperglycemia induced by streptozotocin-induced diabetes sensitized the heart to flow-induced release of heparanase and neuregulin-1. Despite this excess secretion, progression of diabetes caused significant gene expression changes related to mitochondrial metabolism and cell death that led to development of pathologic hypertrophy and heart dysfunction. Physiologic cardiac hypertrophy was also observed in rats with cardiomyocyte-specific vascular endothelial growth factor B overexpression. When perfused, hearts from these animals released significantly higher amounts of both heparanase and neuregulin-1. However, subjecting these animals to diabetes triggered robust transcriptome changes related to metabolism and a transition to pathologic hypertrophy. Our data suggest that in the absence of mechanisms that support cardiac energy generation and prevention of cell death, as seen after diabetes, there is a transition from physiologic to pathologic cardiac hypertrophy and a decline in cardiac function. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Chae Syng Lee
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rui Shang
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Fulong Wang
- School of Life Science and Technology, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, China
| | - Parisa Khayambashi
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hualin Wang
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Gala Araujo
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Karanjit Puri
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Israel Vlodavsky
- Cancer and Vascular Biology Research Center, Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Bahira Hussein
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Brian Rodrigues
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
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Zhang X, Si Y, Zhang L, Wen X, Yang C, Wang L, Song L. Involvement of metabotropic glutamate receptors in regulation of immune response in the Pacific oyster Crassostrea gigas. FISH & SHELLFISH IMMUNOLOGY 2024; 151:109709. [PMID: 38901684 DOI: 10.1016/j.fsi.2024.109709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 05/16/2024] [Accepted: 06/17/2024] [Indexed: 06/22/2024]
Abstract
Metabotropic glutamate receptors (mGluRs) play a pivotal role in the neuroendocrine-immune regulation. In this study, eight mGluRs were identified in the Pacific Oyster Crassostrea gigas, which were classified into three subfamilies based on genetic similarity. All CgmGluRs harbor variable numbers of PBP1 domains at the N-terminus. The sequence and structural features of CgmGluRs are highly similar to mGluRs in other species. A uniformly upregulated expression of CgmGluRs was observed during D-shaped larval stage compared to early D-shaped larval stage. The transcripts of CgmGluRs were detectable in various tissues of oyster. Different CgmGluR exhibited diverse expression patterns response against different PAMP stimulations, among which CgmGluR5 was significantly downregulated under these stimulations, reflecting its sensitivity and broad-spectrum responsiveness to microbes. Following LPS stimulation, the mRNA expression of CgmGluR5 and CgCALM1 in haemocytes was suppressed within 6 h and returned to normal levels by 12 h. Inhibition of CgmGluR5 activity resulted in a significant reduction in CgCALM1 expression after 12 h. Further KEGG enrichment analysis suggested that CgmGluR5 might modulate calcium ion homeostasis and metabolic pathways by regulating CgCALM1. This research delivers the systematic analysis of mGluR in the Pacific Oyster, offering insights into evolutionary characteristics and immunoregulatory function of mGluR in mollusks.
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Affiliation(s)
- Xueshu Zhang
- Liaoning Key Laboratory of Marine Animal Immunology & Disease Control, Dalian Ocean University, Dalian, 116023, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China; Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, 116023, China
| | - Yiran Si
- Liaoning Key Laboratory of Marine Animal Immunology & Disease Control, Dalian Ocean University, Dalian, 116023, China; Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, 116023, China
| | - Linfang Zhang
- Liaoning Key Laboratory of Marine Animal Immunology & Disease Control, Dalian Ocean University, Dalian, 116023, China; Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, 116023, China
| | - Xue Wen
- Liaoning Key Laboratory of Marine Animal Immunology & Disease Control, Dalian Ocean University, Dalian, 116023, China; Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, 116023, China
| | - Chuanyan Yang
- Liaoning Key Laboratory of Marine Animal Immunology & Disease Control, Dalian Ocean University, Dalian, 116023, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China; Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, 116023, China
| | - Lingling Wang
- Liaoning Key Laboratory of Marine Animal Immunology & Disease Control, Dalian Ocean University, Dalian, 116023, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China; Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, 116023, China.
| | - Linsheng Song
- Liaoning Key Laboratory of Marine Animal Immunology & Disease Control, Dalian Ocean University, Dalian, 116023, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China; Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, 116023, China
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31
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Che J, Yang X, Zhao X, Li Y, Jin Z, Xu C. Risk factor prediction and immune correlation analysis of cuproptosis-related gene in osteoarthritis. J Cell Mol Med 2024; 28:e18574. [PMID: 39087591 PMCID: PMC11292577 DOI: 10.1111/jcmm.18574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 07/03/2024] [Accepted: 07/16/2024] [Indexed: 08/02/2024] Open
Abstract
Osteoarthritis (OA) is a widespread inflammatory joint disease with significant global disability burden. Cuproptosis, a newly identified mode of cell death, has emerged as a crucial factor in various pathological conditions, including OA. In this context, our study aims to investigate the intrinsic relationship between cuproptosis-related genes (CRGs) and OA, and assess their potential as biomarkers for OA diagnosis and treatment. Datasets from the GEO databases were analysed the differential expression of CRGs, leading to the identification of 10 key CRGs (CDKN2A, DLD, FDX1, GLS, LIAS, LIPT1, MTF1, PDHA1, DLAT and PDHB). A logistic regression analysis and calibration curves were used to show excellent diagnostic accuracy. Consensus clustering revealed two CRG patterns, with Cluster 1 indicating a closer association with OA progression. RT-PCR confirmed a significant increase in the expression levels of these nine key genes in IL-1β-induced C28/i2 cells, and the expression of CDKN2A and FDX1 were also elevated in conditioned monocytes, while the expression of GLS and MTF1 were significantly decreased. In vitro experiments demonstrated that the expression levels of these 7/10 CRGs were significantly increased in chondrocytes induced by IL-1β, and upon stimulation with cuproptosis inducers, chondrocyte apoptosis was exacerbated, accompanied by an increase in the expression of cuproptosis-related proteins. These further substantiated our research findings and indicated that the nine selected cuproptosis genes have high potential for application in the diagnosis of OA.
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Affiliation(s)
- Jingmin Che
- Shaanxi Provincial Key Laboratory of Infection and Immune DiseasesShaanxi Provincial People's HospitalXi'anShaanxiChina
- Shaanxi Engineering Research Center of Cell ImmunologyShaanxi Provincial People's HospitalXi'anShaanxiChina
| | - Xiaoli Yang
- Shaanxi Provincial Key Laboratory of Infection and Immune DiseasesShaanxi Provincial People's HospitalXi'anShaanxiChina
- Shaanxi Engineering Research Center of Cell ImmunologyShaanxi Provincial People's HospitalXi'anShaanxiChina
| | - Xiangrong Zhao
- Shaanxi Provincial Key Laboratory of Infection and Immune DiseasesShaanxi Provincial People's HospitalXi'anShaanxiChina
- Shaanxi Engineering Research Center of Cell ImmunologyShaanxi Provincial People's HospitalXi'anShaanxiChina
| | - Yan Li
- Shaanxi Provincial Key Laboratory of Infection and Immune DiseasesShaanxi Provincial People's HospitalXi'anShaanxiChina
- Shaanxi Engineering Research Center of Cell ImmunologyShaanxi Provincial People's HospitalXi'anShaanxiChina
| | - Zhankui Jin
- Department of OrthopedicsShaanxi Provincial People's HospitalXi'anShaanxiChina
| | - Cuixiang Xu
- Shaanxi Provincial Key Laboratory of Infection and Immune DiseasesShaanxi Provincial People's HospitalXi'anShaanxiChina
- Shaanxi Engineering Research Center of Cell ImmunologyShaanxi Provincial People's HospitalXi'anShaanxiChina
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D'Souza SE, Khan K, Jalal K, Hassam M, Uddin R. The Gene Network Correlation Analysis of Obesity to Type 1 Diabetes and Cardiovascular Disorders: An Interactome-Based Bioinformatics Approach. Mol Biotechnol 2024; 66:2123-2143. [PMID: 37606877 DOI: 10.1007/s12033-023-00845-5] [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: 03/24/2023] [Accepted: 07/29/2023] [Indexed: 08/23/2023]
Abstract
The current study focuses on the importance of Protein-Protein Interactions (PPIs) in biological processes and the potential of targeting PPIs as a new treatment strategy for diseases. Specifically, the study explores the cross-links of PPIs network associated with obesity, type 1 diabetes mellitus (T1DM), and cardiac disease (CD), which is an unexplored area of research. The research aimed to understand the role of highly connected proteins in the network and their potential as drug targets. The methodology for this research involves retrieving genes from the NCBI online gene database, intersecting genes among three diseases (type 1 diabetes, obesity, and cardiovascular) using Interactivenn, determining suitable drug molecules using NetworkAnalyst, and performing various bioinformatics analyses such as Generic Protein-Protein Interactions, topological properties analysis, function enrichment analysis in terms of GO, and Kyoto Encyclopedia of Genes and Genomes (KEGG), gene co-expression network, and protein drug as well as protein chemical interaction network. The study focuses on human subjects. The results of this study identified 12 genes [VEGFA (Vascular Endothelial Growth Factor A), IL6 (Interleukin 6), MTHFR (Methylenetetrahydrofolate reductase), NPPB (Natriuretic Peptide B), RAC1 (Rac Family Small GTPase 1), LMNA (Lamin A/C), UGT1A1 (UDP-glucuronosyltransferase family 1 membrane A1), RETN (Resistin), GCG (Glucagon), NPPA (Natriuretic Peptide A), RYR2 (Ryanodine receptor 2), and PRKAG2 (Protein Kinase AMP-Activated Non-Catalytic Subunit Gamma 2)] that were shared across the three diseases and could be used as key proteins for protein-drug/chemical interaction. Additionally, the study provides an in-depth understanding of the complex molecular and biological relationships between the three diseases and the cellular mechanisms that lead to their development. Potentially significant implications for the therapy and management of various disorders are highlighted by the findings of this study by improving treatment efficacy, simplifying treatment regimens, cost-effectiveness, better understanding of the underlying mechanism of these diseases, early diagnosis, and introducing personalized medicine. In conclusion, the current study provides new insights into the cross-links of PPIs network associated with obesity, T1DM, and CD, and highlights the potential of targeting PPIs as a new treatment strategy for these prevalent diseases.
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Affiliation(s)
- Sharon Elaine D'Souza
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Lab 103 PCMD Ext., Karachi, 75270, Pakistan
| | - Kanwal Khan
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Lab 103 PCMD Ext., Karachi, 75270, Pakistan
| | - Khurshid Jalal
- HEJ Research Institute of Chemistry International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Muhammad Hassam
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Lab 103 PCMD Ext., Karachi, 75270, Pakistan
| | - Reaz Uddin
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Lab 103 PCMD Ext., Karachi, 75270, Pakistan.
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Luo D, Gao X, Zhu X, Wu J, Yang Q, Xu Y, Huang Y, He X, Li Y, Gao P. Identification of steroid-induced osteonecrosis of the femoral head biomarkers based on immunization and animal experiments. BMC Musculoskelet Disord 2024; 25:596. [PMID: 39069636 DOI: 10.1186/s12891-024-07707-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 07/18/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Steroid-induced osteonecrosis of femoral head (SONFH) is a severe health risk, and this study aims to identify immune-related biomarkers and pathways associated with the disease through bioinformatics analysis and animal experiments. METHOD Using SONFH-related datasets obtained from the GEO database, we performed differential expression analysis and weighted gene co-expression network analysis (WGCNA) to extract SONFH-related genes. A protein-protein interaction (PPI) network was then constructed, and core sub-network genes were identified. Immune cell infiltration and clustering analysis of SONFH samples were performed to assess differences in immune cell populations. WGCNA analysis was used to identify module genes associated with immune cells, and hub genes were identified using machine learning. Internal and external validation along with animal experiments were conducted to confirm the differential expression of hub genes and infiltration of immune cells in SONFH. RESULTS Differential expression analysis revealed 502 DEGs. WGCNA analysis identified a blue module closely related to SONFH, containing 1928 module genes. Intersection analysis between DEGs and blue module genes resulted in 453 intersecting genes. The PPI network and MCODE module identified 15 key targets enriched in various signaling pathways. Analysis of immune cell infiltration showed statistically significant differences in CD8 + t cells, monocytes, macrophages M2 and neutrophils between SONFH and control samples. Unsupervised clustering classified SONFH samples into two clusters (C1 and C2), which also exhibited significant differences in immune cell infiltration. The hub genes (ICAM1, NR3C1, and IKBKB) were further identified using WGCNA and machine learning analysis. Based on these hub genes, a clinical prediction model was constructed and validated internally and externally. Animal experiments confirmed the upregulation of hub genes in SONFH, with an associated increase in immune cell infiltration. CONCLUSION This study identified ICAM1, NR3C1, and IKBKB as potential immune-related biomarkers involved in immune cell infiltration of CD8 + t cells, monocytes, macrophages M2, neutrophils and other immune cells in the pathogenesis of SONFH. These biomarkers act through modulation of the chemokine signaling pathway, Toll-like receptor signaling pathway, and other pathways. These findings provide valuable insights into the disease mechanism of SONFH and may aid in future drug development efforts.
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Affiliation(s)
- Dongqiang Luo
- Nanfang College Guangzhou, Guangzhou, 510970, China
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Xiaolu Gao
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Xianqiong Zhu
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Jiayu Wu
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Qingyi Yang
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Ying Xu
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Yuxuan Huang
- Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Xiaolin He
- Clifford Hospital, Guangzhou, 511496, China
| | - Yan Li
- Clifford Hospital, Guangzhou, 511496, China
| | - Pengfei Gao
- Nanfang College Guangzhou, Guangzhou, 510970, China.
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Maddah R, Ghanbari F, Veisi M, Koosehlar E, Shadpirouz M, Basharat Z, Hejrati A, Amiri BS, Hejrati L. Unveiling Potential Biomarkers for Urinary Tract Infection: An Integrated Bioinformatics Approach. Adv Biomed Res 2024; 13:44. [PMID: 39224398 PMCID: PMC11368229 DOI: 10.4103/abr.abr_355_23] [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: 09/13/2023] [Revised: 01/24/2024] [Accepted: 01/28/2024] [Indexed: 09/04/2024] Open
Abstract
Background Urinary tract infections (UTIs) are a widespread health concern with high recurrence rates and substantial economic impact, and they can increase the prevalence of antibiotic resistance. This study employed an integrated bioinformatics approach to identify key genes associated with UTI development, offering potential targets for interventions. Materials and Methods For this study, the microarray dataset GSE124917 from the Gene Expression Omnibus (GEO) database was selected and reanalyzed. The differentially expressed genes (DEGs) between UTIs and healthy samples were identified using the LIMMA package in R software. In this section, Enrichr database was utilized to perform functional enrichment analysis of DEGs. Subsequently, the protein-protein interaction (PPI) network of the DEGs was constructed and visualized through Cytoscape, utilizing the STRING online database. The identification of hub genes was performed using Cytoscape's cytoHubba plug-in employing various methods. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic accuracy of hub genes. Results Among the outcomes of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, the tumor necrosis factor (TNF) signaling pathway was identified as one of the notable pathways. The PPI network of the DEGs was successfully established and visualized in Cytoscape with the aid of the STRING online database. Using cytoHubba with different methods, we identified seven hub genes (STAT1, IL6, IFIT1, IFIT3, IFIH1, MX1, and IRF7). Based on the ROC analysis, all hub genes showed high diagnostic value. Conclusion These findings provide a valuable baseline for future research aimed at unraveling the intricate molecular mechanisms behind UTI.
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Affiliation(s)
- Reza Maddah
- Department of Bioprocess Engineering, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran
| | - Fahimeh Ghanbari
- Applied Physiology Research Center, Isfahan University of Medical, Isfahan, Iran
| | - Maziyar Veisi
- Department of Veterinary Medicine Shahrekord, Shahrekord University, Chaharmahal and Bakhtiari Province, Shahrekord, Iran
| | - Eman Koosehlar
- Department of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran
| | - Marzieh Shadpirouz
- Department of Applied Mathematics, Faculty of Mathematical Sciences, Shahrood University of Technology, Semnan, Iran
| | | | - Alireza Hejrati
- Internal Medicine Department, School of Medicine, Hazrat-e Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Bahareh Shateri Amiri
- Internal Medicine Department, School of Medicine, Hazrat-e Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Lina Hejrati
- Internal Medicine Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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Yuan Z, Li M, Tang Z. BCAT1 promotes cell proliferation, migration, and invasion via the PI3K-Akt signaling pathway in oral squamous cell carcinoma. Oral Dis 2024. [PMID: 39056279 DOI: 10.1111/odi.15084] [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: 04/02/2024] [Revised: 06/30/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024]
Abstract
OBJECTIVES To analyze the expression, biological function of branched chain amino-acid transaminase 1 (BCAT1) in oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS Real-time PCR and immunohistochemistry were used to analyze the expression of BCAT1 protein in OSCC and normal oral tissues. Based on the clinicopathological information of patients, the relationship between the expression of BCAT1 protein and other clinicopathological factors was analyzed. Real-time PCR and western blot assays were used to analyze the expression of BCAT1 gene and protein in normal human oral keratinocytes (HOK) and human OSCC cells, respectively. After BCAT1 overexpression or knockdown, the proliferation, cell cycle, migration, and invasion of human OSCC cells were analyzed by CCK8, flow cytometry, wound healing, and transwell invasion assays, respectively. After adding the BCAT1 inhibitor EGR240 to OSCC cells, the changes in cell proliferation, migration, and invasion ability in OSCC cells were analyzed. Based on the TCGA database, the involved signal pathway in BCAT1-related and BCAT1-binding genes was obtained for Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, verified by western blot assays. After inhibiting PI3K, the effect of BCAT1 on the expression of the downstream phosphorylated protein of the PI3K-Akt signaling pathway was analyzed by western blot assays. The relationship between the expression of BCAT1 and EMT-related protein of OSCC cells was also analyzed. RESULTS The expression of BCAT1 gene and protein were upregulated in OSCC tissue, which positively correlated with the pathological grade of patients with OSCC. Compared with normal oral keratinocytes, BCAT1 gene and protein were upregulated in OSCC cells. BCAT1 overexpression promoted the proliferation, migration, and invasion of OSCC cells. BCAT1 knockdown or inhibition could reduce the proliferation, migration, and invasion abilities of OSCC cells. The results of bioinformatics analysis and Western bolt showed that BCAT1 could regulate the activation of PI3K-Akt signaling pathway, and promote epithelial-mesenchymal transition (EMT) of OSCC cells. CONCLUSIONS BCAT1 could promote the proliferation, migration, and invasion of OSCC cells via PI3K-Akt signaling pathway, which is a potential therapeutic target for OSCC.
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Affiliation(s)
| | - Ming Li
- Hunan Key Laboratory of Oral Health Research & Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University, Changsha, China
| | - Zhangui Tang
- Hunan Key Laboratory of Oral Health Research & Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University, Changsha, China
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Singhvi N, Talwar C, Nagar S, Verma H, Kaur J, Mahato NK, Ahmad N, Mondal K, Gupta V, Lal R. Insights into the radiation and oxidative stress mechanisms in genus Deinococcus. Comput Biol Chem 2024; 112:108161. [PMID: 39116702 DOI: 10.1016/j.compbiolchem.2024.108161] [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: 07/04/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024]
Abstract
Deinococcus species, noted for their exceptional resistance to DNA-damaging environmental stresses, have piqued scientists' interest for decades. This study dives into the complex mechanisms underpinning radiation resistance in the Deinococcus genus. We have examined the genomes of 82 Deinococcus species and classified radiation-resistance proteins manually into five unique curated categories: DNA repair, oxidative stress defense, Ddr and Ppr proteins, regulatory proteins, and miscellaneous resistance components. This classification reveals important information about the various molecular mechanisms used by these extremophiles which have been less explored so far. We also investigated the presence or lack of these proteins in the context of phylogenetic relationships, core, and pan-genomes, which offered light on the evolutionary dynamics of radiation resistance. This comprehensive study provides a deeper understanding of the genetic underpinnings of radiation resistance in the Deinococcus genus, with potential implications for understanding similar mechanisms in other organisms using an interactomics approach. Finally, this study reveals the complexities of radiation resistance mechanisms, providing a comprehensive understanding of the genetic components that allow Deinococcus species to flourish under harsh environments. The findings add to our understanding of the larger spectrum of stress adaption techniques in bacteria and may have applications in sectors ranging from biotechnology to environmental research.
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Affiliation(s)
- Nirjara Singhvi
- School of Allied Sciences, Dev Bhoomi Uttarakhand University, Dehradun 248007, India
| | - Chandni Talwar
- Department of Pathology and Immunology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Shekhar Nagar
- Department of Zoology, Deshbandhu College, University of Delhi, New Delhi 110019, India
| | - Helianthous Verma
- Department of Zoology, Ramjas College, University of Delhi, Delhi 110007, India
| | - Jasvinder Kaur
- Department of Zoology, Gargi College, University of Delhi, New Delhi 110049, India
| | - Nitish Kumar Mahato
- University Department of Zoology, Kolhan University, Chaibasa, Jharkhand, India
| | - Nabeel Ahmad
- School of Allied Sciences, Dev Bhoomi Uttarakhand University, Dehradun 248007, India
| | - Krishnendu Mondal
- Ministry of Environment, Forest and Climate Change, Integrated Regional Office, Dehradun 248001, India
| | - Vipin Gupta
- Ministry of Environment, Forest and Climate Change, Integrated Regional Office, Dehradun 248001, India.
| | - Rup Lal
- Acharya Narendra Dev College, University of Delhi, New Delhi 110019, India.
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Park S, Hong CH, Son SJ, Roh HW, Kim D, Shin H, Woo HG. Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network. Brief Bioinform 2024; 25:bbae428. [PMID: 39226887 PMCID: PMC11370639 DOI: 10.1093/bib/bbae428] [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: 04/25/2024] [Revised: 07/26/2024] [Accepted: 08/15/2024] [Indexed: 09/05/2024] Open
Abstract
Plasma protein biomarkers have been considered promising tools for diagnosing dementia subtypes due to their low variability, cost-effectiveness, and minimal invasiveness in diagnostic procedures. Machine learning (ML) methods have been applied to enhance accuracy of the biomarker discovery. However, previous ML-based studies often overlook interactions between proteins, which are crucial in complex disorders like dementia. While protein-protein interactions (PPIs) have been used in network models, these models often fail to fully capture the diverse properties of PPIs due to their local awareness. This drawback increases the chance of neglecting critical components and magnifying the impact of noisy interactions. In this study, we propose a novel graph-based ML model for dementia subtype diagnosis, the graph propagational network (GPN). By propagating the independent effect of plasma proteins on PPI network, the GPN extracts the globally interactive effects between proteins. Experimental results showed that the interactive effect between proteins yielded to further clarify the differences between dementia subtype groups and contributed to the performance improvement where the GPN outperformed existing methods by 10.4% on average.
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Affiliation(s)
- Sunghong Park
- Department of Physiology, Ajou University School of Medicine, Worldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University School of Medicine, Woldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
| | - Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Woldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
| | - Hyun Woong Roh
- Department of Psychiatry, Ajou University School of Medicine, Woldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
| | - Doyoon Kim
- Department of Physiology, Ajou University School of Medicine, Worldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
- Department of Biomedical Science, Graduate School, Ajou University, Worldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
| | - Hyunjung Shin
- Department of Industrial Engineering, Ajou University, Worldcup-ro 206, Yeongtong-gu, Suwon, 16499, Republic of Korea
- Department of Artificial Intelligence, Ajou University, Worldcup-ro 206, Yeongtong-gu, Suwon, 16499, Republic of Korea
| | - Hyun Goo Woo
- Department of Physiology, Ajou University School of Medicine, Worldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
- Department of Biomedical Science, Graduate School, Ajou University, Worldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
- Ajou Translational Omics Center (ATOC), Research Institute for Innovative Medicine, Ajou University Medical Center, Worldcup-ro 164, Yeongtong-gu, Suwon, 16499, Republic of Korea
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Wu Y, Hu W, Jia Z, Zhu Q, Xu J, Peng L, Wang R. Impact of Extracellular Matrix-Related Genes on the Tumor Microenvironment and Prognostic Indicators in Esophageal Cancer: A Comprehensive Analytical Study. Genet Res (Camb) 2024; 2024:3577395. [PMID: 39139739 PMCID: PMC11300105 DOI: 10.1155/2024/3577395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/10/2024] [Accepted: 07/03/2024] [Indexed: 08/15/2024] Open
Abstract
Esophageal cancer is a major global health challenge with a poor prognosis. Recent studies underscore the extracellular matrix (ECM) role in cancer progression, but the full impact of ECM-related genes on patient outcomes remains unclear. Our study utilized next-generation sequencing and clinical data from esophageal cancer patients provided by The Cancer Genome Atlas, employing the R package in RStudio for computational analysis. This analysis identified significant associations between patient survival and various ECM-related genes, including IBSP, LINGO4, COL26A1, MMP12, KLK4, RTBDN, TENM1, GDF15, and RUNX1. Consequently, we developed a prognostic model to predict patient outcomes, which demonstrated clear survival differences between high-risk and low-risk patient groups. Our comprehensive review encompassed clinical correlations, biological pathways, and variations in immune response among these risk categories. We also constructed a nomogram integrating clinical information with risk assessment. Focusing on the TENM1 gene, we found it significantly impacts immune response, showing a positive correlation with T helper cells, NK cells, and CD8+ T cells, but a negative correlation with neutrophils and Th17 cells. Gene Set Enrichment Analysis revealed enhanced pathways related to pancreatic beta cells, spermatogenesis, apical junctions, and muscle formation in patients with high TENM1 expression. This research provides new insights into the role of ECM genes in esophageal cancer and informs future research directions.
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Affiliation(s)
- Yinghong Wu
- The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China
| | - Wenjie Hu
- The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China
| | - Zhihong Jia
- The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China
| | - Qiying Zhu
- The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China
| | - Jinghui Xu
- The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China
| | - Liang Peng
- The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China
| | - Renjie Wang
- The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China
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Honrath S, Scherer D, Burger M, Leroux JC. Interaction proteomics analysis to provide insight into TFAMoplex-mediated transfection. J Control Release 2024; 373:252-264. [PMID: 39009084 DOI: 10.1016/j.jconrel.2024.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/06/2024] [Accepted: 07/09/2024] [Indexed: 07/17/2024]
Abstract
In an earlier investigation, our group introduced the TFAMoplex, a transfection agent based on the mitochondrial transcription factor A (TFAM) protein, which complexes DNA into nanoparticles. The original TFAMoplex further contained a bacterial phospholipase to achieve endosomal escape, and the vaccinia-related kinase 1 (VRK1), which significantly boosted the transfection efficiency of the system by an unknown mechanism. This study aims at replacing VRK1 within the TFAMoplex with dynein light chain proteins, specifically RP3, to directly tether the complexes to the dynein motor complex for enhanced cytosolic transport. To confirm the interaction between the dynein complex and the resulting fusion protein, we examined the binding kinetics of TFAM-RP3 to the dynein intermediate chains 1 and 2. Furthermore, we established a proteomics-based assay to compare cytosolic protein interactions of different TFAMoplex variants, including the RP3-modified version and the original VRK1-containing system. In the group of the VRK1-containing TFAMoplex, significant shifts of protein interactors were observed, especially for nucleolar proteins. Leveraging this knowledge, we incorporated one of these nuclear proteins, leucine-rich repeat-containing protein 59 (LRRC59), into the TFAMoplex, resulting in a significant improvement of transfection properties compared to the RP3-modified system and comparable levels versus the original, VRK1-containing version. This study not only advances our comprehension of the TFAMoplex system but also offers broader insights into the potential of protein engineering for designing effective gene delivery systems.
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Affiliation(s)
- Steffen Honrath
- ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Vladimir-Prelog-Weg 3, 8093 Zurich, Switzerland
| | - David Scherer
- ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Vladimir-Prelog-Weg 3, 8093 Zurich, Switzerland
| | - Michael Burger
- ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Vladimir-Prelog-Weg 3, 8093 Zurich, Switzerland..
| | - Jean-Christophe Leroux
- ETH Zurich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Vladimir-Prelog-Weg 3, 8093 Zurich, Switzerland..
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LI RUIFANG, NAN XINRONG, LI MING, RAHHAL OMAR. Fibroblast activation protein (FAP) as a prognostic biomarker in multiple tumors and its therapeutic potential in head and neck squamous cell carcinoma. Oncol Res 2024; 32:1323-1334. [PMID: 39055892 PMCID: PMC11267059 DOI: 10.32604/or.2024.046965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 02/02/2024] [Indexed: 07/28/2024] Open
Abstract
Background Fibroblast activation protein (FAP), a cell surface serine protease, plays roles in tumor invasion and immune regulation. However, there is currently no pan-cancer analysis of FAP. Objective: We aimed to assess the pan-cancer expression profile of FAP, its molecular function, and its potential role in head and neck squamous cell carcinoma (HNSC). Methods We analyzed gene expression, survival status, immune infiltration, and molecular functional pathways of FAP in The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) tumors. Furthermore, to elucidate the role of FAP in HNSC, we performed proliferation, migration, and invasion assays post-FAP overexpression or knock-down. Results FAP expression was elevated in nine tumor types and was associated with poor survival in eight of them. In the context of immune infiltration, FAP expression negatively correlated with CD8+ T-cell infiltration in five tumor types and positively with regulatory T-cell infiltration in four tumor types. Our enrichment analysis highlighted FAP's involvement in the PI3K-Akt signaling pathway. In HNSC cells, FAP overexpression activated the PI3K-Akt pathway, promoting tumor proliferation, migration, and invasion. Conversely, FAP knockdown showed inhibitory effects. Conclusion Our study unveils the association of FAP with poor tumor prognosis across multiple cancers and highlights its potential as a therapeutic target in HNSC.
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Affiliation(s)
- RUIFANG LI
- School of Stomatology, Shanxi Medical University, Taiyuan, 030001, China
| | - XINRONG NAN
- Department of Stomatology, The First Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - MING LI
- Department of Oral and Maxillofacial Surgery, Xiangya Stomatology Hospital, Central South University, Changsha, 410005, China
| | - OMAR RAHHAL
- Department of Oral and Maxillofacial Surgery, Xiangya Stomatology Hospital, Central South University, Changsha, 410005, China
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Liu H, Liu W, Wang Z, Li N, Xie Y, Zhao Y. Comprehensive analysis of Alfin-like transcription factors associated with drought and salt stresses in wheat (Triticum aestivum L.). BMC Genomics 2024; 25:701. [PMID: 39020295 PMCID: PMC11256656 DOI: 10.1186/s12864-024-10557-y] [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: 04/15/2024] [Accepted: 06/24/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Alfin-like proteins are a kind of plant-specific transcription factors, and play vital roles in plant growth, development and stress responses. RESULTS In this study, a total of 27 Alfin-like transcription factors were identified in wheat. TaAL genes were unevenly distributed on chromosome. Phylogenetic analysis showed TaAL genes were divided into AL-B and AL-C subfamilies, and TaALs with closer evolutionary relationships generally shared more similar exon-intron structures and conserved motifs. The cis-acting element analysis showed MBS, ABRE and CGTCA-motif were the most common in TaAL promoters. The interacting proteins and downstream target genes of TaAL genes were also investigated in wheat. The transcriptome data and real-time PCR results indicated TaAL genes were differentially expressed under drought and salt stresses, and TaAL1-B was significantly up-regulated in response to drought stress. In addition, association analysis revealed that TaAL1-B-Hap-I allelic variation had significantly higher survival rate compared to TaAL1-B-Hap-II under drought stress. CONCLUSIONS These results will provide vital information to increase our understanding of the Alfin-like gene family in wheat, and help us in breeding better wheat varieties in the future.
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Affiliation(s)
- Hao Liu
- College of Agriculture, Ludong University, Yantai, 264000, China
| | - Wenyan Liu
- College of Agriculture, Ludong University, Yantai, 264000, China
| | - Ziyi Wang
- College of Agriculture, Ludong University, Yantai, 264000, China
| | - Na Li
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, China.
| | - Yongfeng Xie
- College of Environment and Life Sciences, Weinan Normal University, Weinan, 714099, China.
| | - Yanhong Zhao
- College of Agriculture, Ludong University, Yantai, 264000, China.
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Yu M, Shen Z, Zhang S, Zhang Y, Zhao H, Zhang L. The active components of Erzhi wan and their anti-Alzheimer's disease mechanisms determined by an integrative approach of network pharmacology, bioinformatics, molecular docking, and molecular dynamics simulation. Heliyon 2024; 10:e33761. [PMID: 39027618 PMCID: PMC11255520 DOI: 10.1016/j.heliyon.2024.e33761] [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: 09/08/2023] [Revised: 06/21/2024] [Accepted: 06/26/2024] [Indexed: 07/20/2024] Open
Abstract
Erzhi Wan (EZW), a classic Traditional Chinese Medicine formula, has shown promise as a potential therapeutic option for Alzheimer's disease (AD), yet its mechanism remains elusive. Herein, we employed an integrative in-silico approach to investigate the active components and their mechanisms against AD. We screened four active components with blood-brain barrier permeabilities from TCMSP, along with 307 corresponding targets predicted by SwissTargetPrediction, PharmMapper, and TCMbank websites. Then, we retrieved 2260 AD-related targets from Genecards, OMIM, and NCBI databases. Furthermore, we constructed the protein-protein interaction (PPI) network of the intersected targets via the STRING database and performed the GO and KEGG enrichment analyses using the "clusterProfiler" R package. The results showed that the intersected targets were intimately related to the p53/PI3K/Akt signaling pathway, serotonergic synapse, and response to oxygen level. Subsequently, 25 core targets were found differentially expressed in brain regions by bioinformatics analyses of GEO datasets of clinical samples from the Alzdata database. The binding sites and stabilities between the active components and the core targets were investigated by the molecular docking approach using Autodock 4.2.6 software, followed by pocket detection and druggability assessment via the DoGSiteScorer server. The results showed that acacetin, β-sitosterol, and 3-O-acetyldammarenediol-II strongly interacted with the druggable pockets of AR, CASP8, POLB, and PREP. Eventually, the docking results were further cross-referenced with the literature research and validated by 100 ns of molecular dynamics simulations using GROMACS software. Binding free energies were calculated via MM/PBSA strategy combined with interaction entropy. The simulation results indicated stable bindings between four docking pairs including acacetin-AR, acacetin-CASP8, β-sitosterol-POLB, and 3-O-acetyldammarenediol-II-PREP. Overall, our study demonstrated a theoretical basis for how three active components of EZW confer efficacy against AD. It provides a promising reference for subsequent research regarding drug discoveries and clinical applications.
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Affiliation(s)
- Meng Yu
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Zhongqi Shen
- Institute of Chinese Medical Literature and Culture, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Shaozhi Zhang
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Yang Zhang
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Hongwei Zhao
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Longfei Zhang
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
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Zhong K, Huang Y, Chen R, Pan Q, Li J, Xi X. The protective effect of ginsenoside Rg1 against sepsis-induced lung injury through PI3K-Akt pathway: insights from molecular dynamics simulation and experimental validation. Sci Rep 2024; 14:16071. [PMID: 38992150 PMCID: PMC11239675 DOI: 10.1038/s41598-024-66908-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 07/05/2024] [Indexed: 07/13/2024] Open
Abstract
Sepsis-induced acute lung injury (SALI) poses a significant threat with high incidence and mortality rates. Ginsenoside Rg1 (GRg1), derived from Ginseng in traditional Chinese medicine, has been found to reduce inflammation and protect lung epithelial cells against tissue damage. However, the specific roles and mechanisms by which GRg1 mitigates SALI have yet to be fully elucidated. In this context, we employed a relevant SALI mouse model, alongside network pharmacology, molecular docking, and molecular dynamics simulation to pinpoint GRg1's action targets, complemented by in vitro assays to explore the underlying mechanisms. Our research shows that GRg1 alleviates CLP-induced SALI, decreasing lung tissue damage and levels of serum proinflammatory factor IL-6, TNF-α, and IL-1β, also enhancing the survival rate of CLP mice. A total of 116 common targets between GRg1 and ALI, with specific core targets including AKT1, VEGFA, SRC, IGF1, ESR1, STAT3, and ALB. Further in vitro experiments assessed GRg1's intervention effects on MLE-12 cells exposed to LPS, with qRT-PCR analysis and molecular dynamics simulations confirming AKT1 as the key target with the favorable binding activity for GRg1. Western blot results indicated that GRg1 increased the Bcl-2/Bax protein expression ratio to reduce apoptosis and decreased the high expression of cleaved caspase-3 in LPS-induced MLE-12 cells. More results showed significant increases in the phosphorylation of PI3K and AKT1. Flow cytometric analysis using PI and Annexin-V assays further verified that GRg1 decreased the apoptosis rate in LPS-stimulated MLE-12 cells (from 14.85 to 6.54%, p < 0.05). The employment of the AKT1 inhibitor LY294002 confirmed these trends, indicating that AKT1's inhibition negates GRg1's protective effects on LPS-stimulated MLE-12 cells. In conclusion, our research highlights GRg1's potential as an effective adjunct therapy for SALI, primarily by inhibiting apoptosis in alveolar epithelial cells and reducing pro-inflammatory cytokine secretion, thus significantly enhancing the survival rates of CLP mice. These beneficial effects are mediated through targeting AKT1 and activating the PI3K-AKT pathway.
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Affiliation(s)
- Kaiqiang Zhong
- Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Yingui Huang
- Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Rui Chen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Research On Emergency in TCM, Guangzhou, Guangdong, China
| | - Qiusha Pan
- Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Jun Li
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, Guangdong, China.
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
| | - Xiaotu Xi
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, Guangdong, China.
- Guangdong Provincial Key Laboratory of Research On Emergency in TCM, Guangzhou, Guangdong, China.
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Chen Q, Zhang JL, Yang JS, Jin Q, Yang J, Xue Q, Guang XF. Novel Diagnostic Biomarkers Related to Necroptosis and Immune Infiltration in Coronary Heart Disease. J Inflamm Res 2024; 17:4525-4548. [PMID: 39006493 PMCID: PMC11246668 DOI: 10.2147/jir.s457469] [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: 02/20/2024] [Accepted: 06/11/2024] [Indexed: 07/16/2024] Open
Abstract
Purpose Necroptosis, a monitored form of inflammatory cell death, contributes to coronary heart disease (CHD) progression. This study examined the potential of using necroptosis genes as diagnostic markers for CHD and sought to elucidate the underlying roles. Methods Through bioinformatic analysis of GSE20680 and GSE20681, we first identified the differentially expressed genes (DEGs) related to necroptosis in CHD. Hub genes were identified using least absolute shrinkage and selection operator (LASSO) regression and random forest analysis after studying immune infiltration and transcription factor-miRNA interaction networks according to the DEGs. Quantitative polymerase chain reaction and immunohistochemistry were used to further investigate hub gene expression in vivo, for which a diagnostic model was constructed and the predictive efficacy was validated. Finally, the CHD group was categorized into high- and low-score groups in accordance with the single-sample gene set enrichment analysis (ssGSEA) score of the necroptosis genes. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, GSEA, and further immune infiltration analyses were performed on the two groups to explore the possible roles of hub genes. Results Based on the results of the LASSO regression and random forest analyses, four genes were used to construct a diagnostic model to establish a nomogram. Additionally, an extensive analysis of all seventeen necroptosis genes revealed notable distinctions in expression between high-risk and low-risk groups. Evaluation of immune infiltration revealed that neutrophils, monocytes, B cells, and activated dendritic cells were highly distributed in the peripheral blood of patients with CHD. Specifically, the high CHD score group exhibited greater neutrophil and monocyte infiltration. Conversely, the high-score group showed lower infiltration of M0 and M2 macrophages, CD8+ T, plasma, and resting mast cells. Conclusion TLR3, MLKL, HMGB1, and NDRG2 may be prospective biomarkers for CHD diagnosis. These findings offer plausible explanations for the role of necroptosis in CHD progression through immune infiltration and inflammatory response.
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Affiliation(s)
- Qiu Chen
- Department of Cardiology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China
| | - Ji-Lei Zhang
- Department of Cardiology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China
| | - Jie-Shun Yang
- Department of Pathology, The Second Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Qing Jin
- Department of Cardiology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China
| | - Jun Yang
- Key Laboratory of Cardiovascular Disease of Yunnan Province, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China
| | - Qiang Xue
- Department of Cardiology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China
| | - Xue-Feng Guang
- Department of Cardiology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, People's Republic of China
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Jiang H, He Y, Lan X, Xie X. Identification and validation of potential common biomarkers for papillary thyroid carcinoma and Hashimoto's thyroiditis through bioinformatics analysis and machine learning. Sci Rep 2024; 14:15578. [PMID: 38971817 PMCID: PMC11227570 DOI: 10.1038/s41598-024-66162-2] [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: 12/20/2023] [Accepted: 06/27/2024] [Indexed: 07/08/2024] Open
Abstract
There is a growing body of evidence suggesting that Hashimoto's thyroiditis (HT) may contribute to an increased risk of papillary thyroid carcinoma (PTC). However, the exact relationship between HT and PTC is still not fully understood. The objective of this study was to identify potential common biomarkers that may be associated with both PTC and HT. Three microarray datasets from the GEO database and RNA-seq dataset from TCGA database were collected to identify shared differentially expressed genes (DEGs) between HT and PTC. A total of 101 genes was identified as common DEGs, primarily enriched inflammation- and immune-related pathways through GO and KEGG analysis. We performed protein-protein interaction analysis and identified six significant modules comprising a total of 29 genes. Subsequently, tree hub genes (CD53, FCER1G, TYROBP) were selected using random forest (RF) algorithms for the development of three diagnostic models. The artificial neural network (ANN) model demonstrates superior performance. Notably, CD53 exerted the greatest influence on the ANN model output. We analyzed the protein expressions of the three genes using the Human Protein Atlas database. Moreover, we observed various dysregulated immune cells that were significantly associated with the hub genes through immune infiltration analysis. Immunofluorescence staining confirmed the differential expression of CD53, FCER1G, and TYROBP, as well as the results of immune infiltration analysis. Lastly, we hypothesise that benzylpenicilloyl polylysine and aspirinmay be effective in the treatment of HT and PTC and may prevent HT carcinogenesis. This study indicates that CD53, FCER1G, and TYROBP play a role in the development of HT and PTC, and may contribute to the progression of HT to PTC. These hub genes could potentially serve as diagnostic markers and therapeutic targets for PTC and HT.
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Affiliation(s)
- Hui Jiang
- Department of Ultrasound, The Second Affiliated Hospital of Anhui Medical Universty, Hefei, 230601, Anhui, China
| | - Yanbin He
- Dian Diagnostics Group Co., Ltd, Hangzhou, 310000, Zhejiang, China
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, 310030, Zhejiang, China
| | - Xiaofeng Lan
- Department of Ultrasound, The Second Affiliated Hospital of Anhui Medical Universty, Hefei, 230601, Anhui, China
| | - Xiang Xie
- Department of Ultrasound, The Second Affiliated Hospital of Anhui Medical Universty, Hefei, 230601, Anhui, China.
- Department of Interventional Ultrasound, The Second Affiliated Hospital of Anhui Medical Universty, Hefei, 230601, Anhui, China.
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Jahan E, Mazumder T, Hasan T, Ahmed KS, Amanat M, Hossain H, Supty SJ, Liya IJ, Shuvo MSR, Daula AFMSU. Metabolomic Approach to Identify the Potential Metabolites from Alpinia malaccensis for Treating SARS-CoV-2 Infection. Biochem Genet 2024:10.1007/s10528-024-10869-4. [PMID: 38955878 DOI: 10.1007/s10528-024-10869-4] [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: 12/18/2023] [Accepted: 06/10/2024] [Indexed: 07/04/2024]
Abstract
The advent of the new coronavirus, leading to the SARS-CoV-2 pandemic, has presented a substantial worldwide health hazard since its inception in the latter part of 2019. The severity of the current pandemic is exacerbated by the occurrence of re-infection or co-infection with SARS-CoV-2. Hence, comprehending the molecular process underlying the pathophysiology of sepsis and discerning possible molecular targets for therapeutic intervention holds significant importance. For the first time, 31 metabolites were tentatively identified by GC-MS analysis from Alpinia malaccensis. On the other hand, five phenolic compounds were identified and quantified from the plant in HPLC-DAD analysis, including (-) epicatechin, rutin hydrate, rosmarinic acid, quercetin, and kaempferol. Nine GC-MS and five HPLC-identified metabolites had shown interactions with 45 and 30 COVID-19-associated human proteins, respectively. Among the proteins, PARP1, FN1, PRKCA, EGFR, ALDH2, AKR1C3, AHR, and IKBKB have been found as potential therapeutic targets to mitigate SARS-CoV-2 infection. KEGG pathway analysis also showed a strong association of FN1, EGFR, and IKBKB genes with SARS-CoV-2 viral replication and cytokine overexpression due to viral infection. Protein-protein interaction (PPI) analysis also showed that TP53, MMP9, FN1, EGFR, and NOS2 proteins are highly related to the genes involved in COVID-19 comorbidity. These proteins showed interaction with the plant phytoconstituents as well. As the study offers a robust network-based procedure for identifying biomolecules relevant to COVID-19 disease, A. malaccensis could be a good source of effective therapeutic agents against COVID-19 and related viral diseases.
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Affiliation(s)
- Esrat Jahan
- Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Tanoy Mazumder
- Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Tarek Hasan
- Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Khondoker Shahin Ahmed
- Chemical Research Division, Bangladesh Council of Scientific and Industrial Research, Dhaka, Bangladesh
| | - Muhammed Amanat
- Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Hemayet Hossain
- Chemical Research Division, Bangladesh Council of Scientific and Industrial Research, Dhaka, Bangladesh
| | - Sumaiya Jannat Supty
- Department of Soil, Water and Environment, University of Dhaka, Dhaka, Bangladesh
| | - Israt Jahan Liya
- Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Md Sadikur Rahman Shuvo
- Department of Microbiology, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh.
| | - A F M Shahid Ud Daula
- Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh.
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Wei H, Chen J, Lu Z, Zhang X, Liu G, Lian B, Chen Y, Zhong F, Yu C, Zhang J. Crape myrtle LiGAoxs displaying activities of gibberellin oxidases respond to branching architecture. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2024; 212:108738. [PMID: 38761544 DOI: 10.1016/j.plaphy.2024.108738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/08/2024] [Accepted: 05/15/2024] [Indexed: 05/20/2024]
Abstract
In the realm of ornamental horticulture, crape myrtle (Lagerstroemia indica) stands out for its aesthetic appeal, attributed largely to its vibrant flowers and distinctive branching architecture. This study embarked on a comprehensive exploration of the gibberellin oxidase (GAox) gene family in crape myrtle, illuminating its pivotal role in regulating GA levels, a key determinant of plant developmental processes. We identified and characterized 36 LiGAox genes, subdivided into GA2ox, GA3ox, GA20ox, and GAox-like subgroups, through genomic analyses. These genes' evolutionary trajectories were delineated, revealing significant gene expansions attributed to segmental duplication events. Functional analyses highlighted the divergent expression patterns of LiGAox genes across different crape myrtle varieties, associating them with variations in flower color and branching architecture. Enzymatic activity assays on selected LiGA2ox enzymes exhibited pronounced GA2 oxidase activity, suggesting a potential regulatory role in GA biosynthesis. Our findings offered a novel insight into the molecular underpinnings of GA-mediated growth and development in L. indica, providing a foundational framework for future genetic enhancements aimed at optimizing ornamental traits.
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Affiliation(s)
- Hui Wei
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Jinxin Chen
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Zixuan Lu
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Xingyue Zhang
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Guoyuan Liu
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Bolin Lian
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Yanhong Chen
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Fei Zhong
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Chunmei Yu
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
| | - Jian Zhang
- Key Laboratory of Landscape Plant Genetics and Breeding, School of Life Sciences, Nantong University, Nantong, China; Key Lab of Landscape Plant Genetics and Breeding, Nantong, 226000, China.
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Yang M, Chen X, Cheng C, Yan W, Guo R, Wang Y, Zhang H, Chai J, Cheng Y, Zhang F. Cucurbitacin B induces ferroptosis in oral leukoplakia via the SLC7A11/mitochondrial oxidative stress pathway. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 129:155548. [PMID: 38583347 DOI: 10.1016/j.phymed.2024.155548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 02/01/2024] [Accepted: 03/18/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Oral leukoplakia (OLK), characterized by abnormal epithelial hyperplasia, is the most common precancerous oral mucosa lesion and is closely related to oxidative stress. Cucurbitacin B (CuB), a tetracyclic triterpenoid molecule derived from plants, has shown promising anti-proliferative and antioxidant effects in preclinical studies. However, whether CuB can play an antiproliferative role in OLK by regulating oxidative stress remains elusive. PURPOSE To investigate the role of CuB in inhibiting the malignant progression of oral leukoplakia and to further explore its underlying mechanisms of action. METHODS In vitro, the effect of CuB on the proliferation, migration, apoptosis, and cell cycle of OLK cells DOK was detected. The core genes and key pathways of OLK and CuB were analyzed in the transcriptome database, by using immunofluorescence, qRT-PCR, and Western blot to evaluate the expression levels of the ferroptosis markers ROS, GSH, MDA, Fe2+, and marker genes SLC7A11, GPX4, and FTH1. Immunohistochemistry of human tissue was performed to investigate the expression of the SLC7A11. In vivo, the model of OLK was established in C57BL/6 mice and the biosafety of CuB treatment for OLK was further evaluated. RESULTS CuB substantially suppressed the proliferation of DOK cells. Bioinformatics analysis showed that the core targets of OLK crossing with CuB include SLC7A11 and that the essential pathways involve ROS and ferroptosis. In vitro experiments indicated that CuB might promote ferroptosis by down-regulating the expression of SLC7A11. We observed a gradual increase in SLC7A11 expression levels during the progression from normal oral mucosa to oral leukoplakia with varying degrees of epithelial dysplasia. In vivo experiments demonstrated that CuB inhibited the malignant progression of OLK by promoting ferroptosis in OLK mice and exhibited a certain level of biosafety. CONCLUSION This study demonstrated for the first time that CuB could effectively inhibit the malignant progression of OLK by inducing ferroptosis via activating the SLC7A11/ mitochondrial oxidative stress pathway. These findings indicate that CuB could serve as the lead compound for the future development of anti-oral leukoplakia drugs.
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Affiliation(s)
- Mengyuan Yang
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - Xin Chen
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - Chen Cheng
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - Wenpeng Yan
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - Rongrong Guo
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - Yajun Wang
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - Heng Zhang
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - Jiawei Chai
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China
| | - YaHsin Cheng
- Department of Physiology, School of Medicine, China Medical University, Taichung, Taiwan
| | - Fang Zhang
- Shanxi Medical University School and Hospital of Stomatology, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, No.63 Xinjian South Road, Yingze District, Taiyuan, Shanxi 030001, China.
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Singh M, Verma H, Gera N, Baddipadige R, Choudhary S, Bhandu P, Silakari O. Evaluation of Cordyceps militaris steroids as anti-inflammatory agents to combat the Covid-19 cytokine storm: a bioinformatics and structure-based drug designing approach. J Biomol Struct Dyn 2024; 42:5159-5177. [PMID: 37551029 DOI: 10.1080/07391102.2023.2245039] [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: 11/29/2022] [Accepted: 06/08/2023] [Indexed: 08/09/2023]
Abstract
Since the SARS-CoV-2 epidemic, researchers have been working on figuring out ways to tackle multi-organ failure and hyperinflation, which are brought on by a cytokine storm. Angiotensin-converting enzyme 2 (ACE2), a SARS-CoV-2 spike glycoprotein's cellular receptor, is involved in complicated molecular processes that result in hyperinflammation. Cordyceps militaris is one of the traditional Chinese medicines that is used as an immune booster, and it has exhibited efficacy in lowering blood glucose levels, seminal emissions, and infertility. In the current study, we explored the potential of Cordyceps militaris steroids as key agents in managing the anger of cytokine storm in Covid-19 using network ethnopharmacological techniques and structure-based drug designing approaches. The steroids present in Cordyceps militaris were initially screened against the targets involved in inflammatory pathways. The results revealed that out of 16 steroids, 5 may be effective against 17 inflammatory pathways by targeting 11 pathological proteins. Among the five steroids, beta-sitosterol, Cholest-5-en-3β-ol, 3β, and 7α-Dihydroxycholest-5-ene were found to interact with thrombin (F2), an important protein reported to reduce the severity of inflammatory mediators and Cholest-4-en-3-one was found to target Glucocorticoid receptor (NR3C1). The top docked steroid displayed key interactions with both targets, which retained key interactions throughout the 100 ns simulation period. These compounds were also shown high binding free energy scores in water swap studies. Based on obtained results the current study suggests the use of Cordyceps militaris as an add-on therapy that may reduce the progression of inflammatory co-morbidities among patients infected with SARS-CoV-2.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Manmeet Singh
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India
| | - Himanshu Verma
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India
| | - Narendra Gera
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India
| | - Raju Baddipadige
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India
| | - Shalki Choudhary
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India
| | - Priyanka Bhandu
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India
| | - Om Silakari
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India
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50
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Posadas N, Conaco C. Gene networks governing the response of a calcareous sponge to future ocean conditions reveal lineage-specific XBP1 regulation of the unfolded protein response. Ecol Evol 2024; 14:e11652. [PMID: 38952658 PMCID: PMC11214833 DOI: 10.1002/ece3.11652] [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] [Received: 03/12/2024] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 07/03/2024] Open
Abstract
Marine sponges are predicted to be winners in the future ocean due to their exemplary adaptive capacity. However, while many sponge groups exhibit tolerance to a wide range of environmental insults, calcifying sponges may be more susceptible to thermo-acidic stress. To describe the gene regulatory networks that govern the stress response of the calcareous sponge, Leucetta chagosensis (class Calcarea, order Clathrinida), individuals were subjected to warming and acidification conditions based on the climate models for 2100. Transcriptome analysis and gene co-expression network reconstruction revealed that the unfolded protein response (UPR) was activated under thermo-acidic stress. Among the upregulated genes were two lineage-specific homologs of X-box binding protein 1 (XBP1), a transcription factor that activates the UPR. Alternative dimerization between these XBP1 gene products suggests a clathrinid-specific mechanism to reversibly sequester the transcription factor into an inactive form, enabling the rapid regulation of pathways linked to the UPR in clathrinid calcareous sponges. Our findings support the idea that transcription factor duplication events may refine evolutionarily conserved molecular pathways and contribute to ecological success.
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Affiliation(s)
- Niño Posadas
- Marine Science Institute, University of the Philippines DilimanQuezon CityPhilippines
- Present address:
Centre for Chromosome Biology, School of Biological and Chemical SciencesUniversity of GalwayGalwayIreland
| | - Cecilia Conaco
- Marine Science Institute, University of the Philippines DilimanQuezon CityPhilippines
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