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Rasool D, Jan SA, Khan SU, Nahid N, Ashfaq UA, Umar A, Qasim M, Noor F, Rehman A, Shahzadi K, Alshammari A, Alharbi M, Nisar MA. Subtractive proteomics-based vaccine targets annotation and reverse vaccinology approaches to identify multiepitope vaccine against Plesiomonas shigelloides. Heliyon 2024; 10:e31304. [PMID: 38845922 PMCID: PMC11153098 DOI: 10.1016/j.heliyon.2024.e31304] [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: 03/30/2023] [Revised: 05/09/2024] [Accepted: 05/14/2024] [Indexed: 06/09/2024] Open
Abstract
Plesiomonas shigelloides, an aquatic bacterium belonging to the Enterobacteriaceae family, is a frequent cause of gastroenteritis with diarrhea and gastrointestinal severe disease. Despite decades of research, discovering a licensed and globally accessible vaccine is still years away. Developing a putative vaccine that can combat the Plesiomonas shigelloides infection by boosting population immunity against P. shigelloides is direly needed. In the framework of the current study, the entire proteome of P. shigelloides was explored using subtractive genomics integrated with the immunoinformatics approach for designing an effective vaccine construct against P. shigelloides. The overall stability of the vaccine construct was evaluated using molecular docking, which demonstrated that MEV showed higher binding affinities with toll-like receptors (TLR4: 51.5 ± 10.3, TLR2: 60.5 ± 9.2) and MHC receptors(MHCI: 79.7 ± 11.2 kcal/mol, MHCII: 70.4 ± 23.7). Further, the therapeutic efficacy of the vaccine construct for generating an efficient immune response was evaluated by computational immunological simulation. Finally, computer-based cloning and improvement in codon composition without altering amino acid sequence led to the development of a proposed vaccine. In a nutshell, the findings of this study add to the existing knowledge about the pathogenesis of this infection. The schemed MEV can be a possible prophylactic agent for individuals infected with P. shigelloides. Nevertheless, further authentication is required to guarantee its safeness and immunogenic potential.
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Affiliation(s)
- Danish Rasool
- Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, 44000, Pakistan
| | - Sohail Ahmad Jan
- Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, 44000, Pakistan
| | | | - Nazia Nahid
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Ahitsham Umar
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Muhammad Qasim
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Abdur Rehman
- Center of Bioinformatics, College of Life Sciences, Northwest A & F Uiversity, yangling, 712100, Shaanxi, China
| | - Kiran Shahzadi
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Abdulrahman Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh, 11451, Saudi Arabia
| | - Metab Alharbi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh, 11451, Saudi Arabia
| | - Muhammad Atif Nisar
- College of Science and Engineering, Flinders University, Adelaide, 5042, Australia
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Abdelnaby T, Li Z, Xue C. The influence of γ-PGA on the quality of cooked frozen crayfish during temperature fluctuations. Food Chem 2024; 441:138258. [PMID: 38219359 DOI: 10.1016/j.foodchem.2023.138258] [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: 09/17/2023] [Revised: 12/08/2023] [Accepted: 12/20/2023] [Indexed: 01/16/2024]
Abstract
The purpose of this study was to compare the influences of gamma-poly glutamic acid (γ-PGA) (1, 2, 3, and 4 %) to see which could outperform conventional cryoprotectant mixture (4 % sorbitol + 4 % sucrose) on cooked crayfish properties, such as physicochemical, textural qualities, oxidation reaction, water distributions, and microstructure integrity, during different freeze-thaw cycles. Crayfish quality characteristics improved significantly as γ-PGA concentration increased compared to control samples.Adding γ-PGA 4 % reduced the carbonyl content from 4.20 to 3.00 nmol/ mg protein during fluctuation-1 (F1), and from 4.15 to 2.80 nmol/ mg protein during fluctuation-2 (F2) compared to control samples. Furthermore, it increased the total sulfhydryl content from 4.15 and 4.76 to 6.19 and 6.47 mol/105 g protein during F1 and F2 and after five freeze-thaw cycles (FTC). This suggests that this concentration was more effective at controlling protein changes than other concentrations. γ-PGA generally enhanced the water-holding capacity by preventing protein denaturation and limiting ice crystal recrystallization. As a result, microstructure stability was evident, texture degradation was avoided, and the crayfish's color was preserved.
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Affiliation(s)
- Taher Abdelnaby
- College of Food Science and Engineering, Ocean University of China, No.1299 Sansha Road, Qingdao 266404, PR China; Food Science and Technology Department, Faculty of Agriculture, Al-Azhar University, Cairo, Egypt.
| | - Zhaojie Li
- College of Food Science and Engineering, Ocean University of China, No.1299 Sansha Road, Qingdao 266404, PR China
| | - Changhu Xue
- College of Food Science and Engineering, Ocean University of China, No.1299 Sansha Road, Qingdao 266404, PR China; Qingdao institute of marine bioresources for nutrition & health innovation, No. 106 Xiangyang Road 266111, PR China.
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Alblihy A. From desert flora to cancer therapy: systematic exploration of multi-pathway mechanisms using network pharmacology and molecular modeling approaches. Front Pharmacol 2024; 15:1345415. [PMID: 38666020 PMCID: PMC11043532 DOI: 10.3389/fphar.2024.1345415] [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: 11/27/2023] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
Abstract
Ovarian cancer, often labeled a "silent killer," remains one of the most compelling and challenging areas of cancer research. In 2019 alone, a staggering 222,240 new cases of ovarian cancer were reported, with nearly 14,170 lives tragically lost to this relentless disease. The absence of effective diagnostic methods, increased resistance to chemotherapy, and the heterogeneous nature of ovarian cancer collectively contribute to the unfavorable prognosis observed in the majority of cases. Thus, there is a pressing need to explore therapeutic interventions that offer superior efficacy and safety, thereby enhancing the survival prospects for ovarian cancer patients. Recognizing this potential, our research synergizes bioinformatics with a network pharmacology approach to investigate the underlying molecular interactions of Saudi Arabian flora (Onopordum heteracanthum, Acacia ehrenbergiana, Osteospermum vaillantii, Cyperus rotundus, Carissa carandas, Carissa spinarum, and Camellia sinensis) in ovarian cancer treatment. At first, phytoconstituents of indigenous flora and their associated gene targets, particularly those pertinent to ovarian cancer, were obtained from open-access databases. Later, the shared targets of plants and diseases were compared to identify common targets. A protein-protein interaction (PPI) network of predicted targets was then constructed for the identification of key genes having the highest degree of connectivity among networks. Following that, a compound-target protein-pathway network was constructed, which uncovered that, namely, hispidulin, stigmasterol, ascorbic acid, octopamine, cyperene, kaempferol, pungenin, citric acid, d-tartaric acid, beta-sitosterol, (-)-epicatechin gallate, and (+)-catechin demonstrably influence cell proliferation and growth by impacting the AKT1 and VEGFA proteins. Molecular docking, complemented by a 20-ns molecular dynamic (MD) simulation, was used, and the binding affinity of the compound was further validated. Molecular docking, complemented by a 20-ns MD simulation, confirmed the binding affinity of these compounds. Specifically, for AKT1, ascorbic acid showed a docking score of -11.1227 kcal/mol, interacting with residues Ser A:240, Leu A:239, Arg A:243, Arg C:2, and Glu A:341. For VEGFA, hispidulin exhibited a docking score of -17.3714 kcal/mol, interacting with Asn A:158, Val A:190, Gln B:160, Ser A:179, and Ser B:176. To sum up, both a theoretical and empirical framework were established by this study, directing more comprehensive research and laying out a roadmap for the potential utilization of active compounds in the formulation of anti-cancer treatments.
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Affiliation(s)
- Adel Alblihy
- Medical Center, King Fahad Security College (KFSC), Riyadh, Saudi Arabia
- Department of Criminal Justice and Forensic Sciences, King Fahad Security Collage, Riyadh, Saudi Arabia
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Rehman A, Fatima I, Wang Y, Tong J, Noor F, Qasim M, Peng Y, Liao M. Unveiling the multi-target compounds of Rhazya stricta: Discovery and inhibition of novel target genes for the treatment of clear cell renal cell carcinoma. Comput Biol Med 2023; 165:107424. [PMID: 37717527 DOI: 10.1016/j.compbiomed.2023.107424] [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: 06/02/2023] [Revised: 07/24/2023] [Accepted: 08/28/2023] [Indexed: 09/19/2023]
Abstract
Clear cell renal cell carcinoma (ccRCC) is a prevalent kidney malignancy with a pressing need for innovative therapeutic strategies. In this context, emerging research has focused on exploring the medicinal potential of plants such as Rhazya stricta. Nevertheless, the complex molecular mechanisms underlying its potential therapeutic efficacy remain largely elusive. Our study employed an integrative approach comprising data mining,network pharmacology,tissue cell type analysis, and molecular modelling approaches to identify potent phytochemicals from R. stricta, with potential relevance for ccRCC treatments. Initially, we collected data on R. stricta's phytochemical from public databases. Subsequently, we integrated this information with differentially expressed genes (DEGs) in ccRCC, which were derived from microarray datasets(GSE16441,GSE66270, and GSE76351). We identified potential intersections between R. stricta and ccRCC targets, which enabled us to construct a compound-genes-pathway network using Cytoscape software. This helped illuminate R. stricta's multi-target pharmacological effects on ccRCC. Moreover, tissue cell type analysis added another layer of insight into the cellular specificity of potential therapeutic targets in the kidney. Through further Kaplan-Meier survival analysis, we pinpointed MMP9,ACE,ERBB2, and HSP90AA1 as prospective diagnostic and prognostic biomarkers for ccRCC. Notably, our study underscores the potential of R. stricta derived compounds-namely quebrachamine,corynan-17-ol, stemmadenine,strictanol,rhazinilam, and rhazimolare-to impede ccRCC progression by modulating the activity of MMP9,ACE,ERBB2, and HSP90AA1 genes. Further, molecular docking and dynamic simulations confirmed the plausible binding affinities of these compounds. Despite these promising findings, we recognize the need for comprehensive in vivo and in vitro studies to further investigate the pharmacokinetics and biosafety profiles of these compounds.
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Affiliation(s)
- Abdur Rehman
- Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Israr Fatima
- Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yinuo Wang
- Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Jiapei Tong
- College of Information Engineering, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, 38000, Pakistan
| | - Muhammad Qasim
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, 38000, Pakistan
| | - Yuzhong Peng
- Key Lab of Scientific Computing and Intelligent Information Processing in Universities of Guangxi, Nanning Normal University, Nanning, 530001, China.
| | - Mingzhi Liao
- Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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Sabarathinam S, Ganamurali N. Chalcones reloaded: an integration of network pharmacology and molecular docking for type 2 diabetes therapy. J Biomol Struct Dyn 2023:1-13. [PMID: 37643025 DOI: 10.1080/07391102.2023.2252085] [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: 06/15/2023] [Accepted: 08/20/2023] [Indexed: 08/31/2023]
Abstract
Chalcones have various biological effects, from immune boosting to anti-cancer and anti-diabetic. Structurally modified chalcones (SMC) are clinically relevant for diabetes and cardiometabolic complications. From the original research articles, a structurally proven and biologically outstanding 14 structurally modified chalcones were screened and inducted in this study. This study evaluated the effects of SMC towards diabetes via network pharmacology analysis. The network data shows compounds S2, S3, S5, S9 &S12 suit the diabetes target. Especially Compounds S5 and S9 have a higher binding affinity towards the targets of TNF, PI3K, MAPK1 and AKT1 active sites. Compound S9 [(E)-3-(4-(1H-imidazol-1-yl)phenyl)-1-(4-(2,4-difluorobenz-yloxy)phenyl)prop-2-en-1-one] have identified with stronger binding affinities towards the active sites of MAPK3 (PDB:4QTB) -10.5(Kcal/mol). To provide a more effective mechanism for demonstrating protein-ligand interaction, one of the molecular docking complex (ERK2 kinase-S5) was subjected to a molecular dynamic at 300K for 100 ns. In term of structural stability, structure compactness, residual flexibility and hydrogen bond interaction of the complex was evaluated Integrating network pharmacology, in silico virtual screening, and molecular docking analysis shows that structurally modified compounds are effective and may help identify lead compounds towards glycemic control.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Sarvesh Sabarathinam
- Drug Testing Laboratory (DTL), Interdisciplinary Institute of Indian System of Medicine (IIISM), SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India
- Clinical Trial Unit, Metabolic Ward, Interdisciplinary Institute of Indian System of Medicine (IIISM), SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India
- Certificate Programme-Analytical Techniques in Herbal Drug Industry, Interdisciplinary Institute of Indian System of Medicine (IIISM), SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India
| | - Nila Ganamurali
- Certificate Programme-Analytical Techniques in Herbal Drug Industry, Interdisciplinary Institute of Indian System of Medicine (IIISM), SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India
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Chen S, Li Y, Wang G, Song L, Tan J, Yang F. Identification of key genes for IgA nephropathy based on machine learning algorithm and correlation analysis of immune cells. Transpl Immunol 2023; 78:101824. [PMID: 36948405 DOI: 10.1016/j.trim.2023.101824] [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: 08/15/2022] [Revised: 03/13/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023]
Abstract
INTRODUCTION The pathogenesis and progression mechanism of Immunoglobulin A nephropathy (IgAN) is not fully understood. There is a lack of panoramic analysis of IgAN immune cell infiltration and algorithms that are more efficient and accurate for screening key pathogenic genes. METHODS RNA sequencing (RNA-seq) data sets on IgAN were downloaded from the Gene Expression Omnibus (GEO) database, including GSE93798, GSE35489, and GSE115857. The RNA-seq data set of kidney tissue as control samples were downloaded from the Genotype-Tissue Expression (GTEx) database. Three machine learning algorithms-weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO), and support vector machine-were used to identify the key pathogenic gene sets of the IgAN disease. The ssGSEA method was applied to calculate the immune cell infiltration (ICI) of IgAN samples, whereas the Spearman test was used for correlation analysis. The receiver operator characteristic curve (ROC) was used to evaluate the diagnostic efficacy of key genes. The correlation between the key genes and ICI was analyzed using the Spearman test. RESULTS A total of 177 genes were screened out as differentially expressed genes (DEGs) for IgAN, including 135 up-regulated genes and 42 down-regulated genes. The DEGs were significantly enriched in the inflammatory- or immune-related pathways (gene sets). Activating transcription factor 3 (AFT3), C-X-C Motif Chemokine Ligand 6 (CXCL6), and v-fos FBJ murine osteosarcoma viral oncogene homolog B (FOSB) were identified using WGCNA, support vector machine, and LASSO algorithms. These three genes revealed good diagnostic efficacy in the training and test cohorts. The CXCL6 expression positively correlated with activated B cells and memory B cells. CONCLUSION ATF3, FOSB, and CXCL6 genes were identified as potential biomarkers of IgAN. These three genes exhibited good diagnostic efficacy for IgAN. We described the landscape of immune cell infiltration for IgAN. Activated B cells and memory B cells were more highly expressed in the IgAN samples than in the control samples. CXCL6 seems crucial to the pathogenesis of IgAN and may induce IgAN by enriching immune cells. Our study may contribute to developing CXCL6 inhibitors that target B cells for IgAN therapy.
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Affiliation(s)
- Suzhi Chen
- The First Department of Nephrology, Hebei Provincial Hospital of Traditional Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, Hebei Province 050017, China
| | - Yongzhang Li
- Department of Urology, Hebei Provincial Hospital of Traditional Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, Hebei Province 050017, China
| | - Guangjian Wang
- Department of Andrology, Hebei Provincial Hospital of Traditional Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, Hebei Province 050017, China
| | - Lei Song
- Tianjin University of traditional Chinese Medicine, China
| | - Jinchuan Tan
- The First Department of Nephrology, Hebei Provincial Hospital of Traditional Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, Hebei Province 050017, China
| | - Fengwen Yang
- The First Department of Nephrology, Hebei Provincial Hospital of Traditional Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, Hebei Province 050017, China.
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Rehman A, Noor F, Fatima I, Qasim M, Liao M. Identification of molecular mechanisms underlying the therapeutic effects of Celosia Cristata on immunoglobulin nephropathy. Comput Biol Med 2022; 151:106290. [PMID: 36379189 DOI: 10.1016/j.compbiomed.2022.106290] [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: 06/30/2022] [Revised: 10/30/2022] [Accepted: 11/06/2022] [Indexed: 11/13/2022]
Abstract
Immunoglobulin A (IgA) nephropathy also known as Berger's disease, is a silent monster and perhaps the most prevalent glomerulonephritis that often accounts for end-stage kidney failure, thereby signifying a growing public health problem worldwide. The limited amount of available data and a broad spectrum of dysregulated physiological processes of IgAN make it a challenging task and a disproportionate economic load on the community health sector. Celosia cristata is an Amaranthaceous plant with attractive colorful inflorescences that are used in various regions of earth for the treatment of numerous ailments. A list of studies evidences the therapeutic efficacy of C. cristata against complicated disorders, but the precise molecular mechanism is yet to be discovered. This study is attributed to the identification of bioactive compounds, pathways, and target genes for the better treatment of IgAN. In the current analysis, compound-target genes-pathway networks were explored which uncovered that isorhamnetin, stigmasterol, luteolin, amaranthin, and β-sitosterol may serve as a magic bullet against IgAN by influencing the targets genes involved in the disease pathogenesis. Later, the expression of hub genes was then further analyzed using a microarray dataset (GSE93798). Through expression analysis, it is worth noting that FOS, JUN, and EGFR were considerably upregulated, and at the same moment, AKT1 was considerably downregulated in IgAN patients. Lastly, docking analysis further strengthened the current findings by validating the effective activity of the active ingredients against putative target genes. In summary, we propose that five key compounds including, isorhamnetin, stigmasterol, luteolin, amaranthin, and β-sitosterol, aid in the regulation of JUN, FOS, AKT1, and EGFR, which may serve as a promising and enthralling therapeutic option for IgAN. The overall integration of network pharmacology with molecular docking unveiled the multi-target pharmacological mechanisms of C. cristata against IgAN. This study provides convincing evidence that C. cristata might partially alleviate the IgAN and ultimately lays a foundation for further experimental research on the anti-IgAN activity of C. cristata.
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Affiliation(s)
- Abdur Rehman
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
| | - Israr Fatima
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Muhammad Qasim
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
| | - Mingzhi Liao
- College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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Almuhayawi MS, Al Jaouni SK, Selim S, Alkhalifah DHM, Marc RA, Aslam S, Poczai P. Integrated Pangenome Analysis and Pharmacophore Modeling Revealed Potential Novel Inhibitors against Enterobacter xiangfangensis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192214812. [PMID: 36429532 PMCID: PMC9691136 DOI: 10.3390/ijerph192214812] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 06/02/2023]
Abstract
Enterobacter xiangfangensis is a novel, multidrug-resistant pathogen belonging to the Enterobacter genus and has the ability to acquire resistance to multiple antibiotic classes. However, there is currently no registered E. xiangfangensis drug on the market that has been shown to be effective. Hence, there is an urgent need to identify novel therapeutic targets and effective treatments for E. xiangfangensis. In the current study, a bacterial pan genome analysis and subtractive proteomics approach was employed to the core proteomes of six strains of E. xiangfangensis using several bioinformatic tools, software, and servers. However, 2611 nonredundant proteins were predicted from the 21,720 core proteins of core proteome. Out of 2611 nonredundant proteins, 372 were obtained from Geptop2.0 as essential proteins. After the subtractive proteomics and subcellular localization analysis, only 133 proteins were found in cytoplasm. All cytoplasmic proteins were examined using BLASTp against the virulence factor database, which classifies 20 therapeutic targets as virulent. Out of these 20, 3 cytoplasmic proteins: ferric iron uptake transcriptional regulator (FUR), UDP-2,3diacylglucosamine diphosphatase (UDP), and lipid-A-disaccharide synthase (lpxB) were chosen as potential drug targets. These drug targets are important for bacterial survival, virulence, and growth and could be used as therapeutic targets. More than 2500 plant chemicals were used to molecularly dock these proteins. Furthermore, the lowest-binding energetic docked compounds were found. The top five hit compounds, Adenine, Mollugin, Xanthohumol C, Sakuranetin, and Toosendanin demonstrated optimum binding against all three target proteins. Furthermore, molecular dynamics simulations and MM/GBSA analyses validated the stability of ligand-protein complexes and revealed that these compounds could serve as potential E. xiangfangensis replication inhibitors. Consequently, this study marks a significant step forward in the creation of new and powerful drugs against E. xiangfangensis. Future studies should validate these targets experimentally to prove their function in E. xiangfangensis survival and virulence.
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Affiliation(s)
- Mohammed S. Almuhayawi
- Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Soad K. Al Jaouni
- Department of Hematology/Oncology, Yousef Abdulatif Jameel Scientific Chair of Prophetic Medicine Application, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Samy Selim
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia
| | - Dalal Hussien M. Alkhalifah
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Romina Alina Marc
- Food Engineering Department, Faculty of Food Science and Technology, University of Agricultural Science and Veterinary Medicine Cluj-Napoca, 3-5 Calea Mănă ¸stur Street, 400372 Cluj-Napoca, Romania
| | - Sidra Aslam
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Punjab 38000, Pakistan
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Peter Poczai
- Botany Unit, Finnish Museum of Natural History, University of Helsinki, P.O. Box 7, FI-00014 Helsinki, Finland
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Zhang X, Chao P, Jiang H, Yang S, Muhetaer G, Zhang J, Song X, Lu C. Integration of three machine learning algorithms identifies characteristic RNA binding proteins linked with diagnosis, immunity and pyroptosis of IgA nephropathy. Front Genet 2022; 13:975521. [PMID: 36246620 PMCID: PMC9554240 DOI: 10.3389/fgene.2022.975521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: RNA-binding proteins (RBPs) are essential for most post-transcriptional regulatory events, which exert critical roles in nearly all aspects of cell biology. Here, characteristic RBPs of IgA nephropathy were determined with multiple machine learning algorithms. Methods: Our study included three gene expression datasets of IgA nephropathy (GSE37460, GSE73953, GSE93798). Differential expression of RBPs between IgA nephropathy and normal samples was analyzed via limma, and hub RBPs were determined through MCODE. Afterwards, three machine learning algorithms (LASSO, SVM-RFE, random forest) were integrated to determine characteristic RBPs, which were verified in the Nephroseq database. Immune cell infiltrations were estimated through CIBERSORT. Utilizing ConsensusClusterPlus, IgA nephropathy were classified based on hub RBPs. The potential upstream miRNAs were predicted. Results: Among 388 RBPs with differential expression, 43 hub RBPs were determined. After integration of three machine learning algorithms, three characteristic RBPs were finally identified (DDX27, RCL1, and TFB2M). All of them were down-regulated in IgA nephropathy than normal specimens, with the excellent diagnostic efficacy. Additionally, they were significantly linked to immune cell infiltrations, immune checkpoints, and pyroptosis-relevant genes. Based on hub RBPs, IgA nephropathy was stably classified as two subtypes (cluster 1 and 2). Cluster 1 exhibited the relatively high expression of pyroptosis-relevant genes and characteristic RBPs. MiR-501-3p, miR-760, miR-502-3p, miR-1224-5p, and miR-107 were potential upstream miRNAs of hub RBPs. Conclusion: Collectively, our findings determine three characteristic RBPs in IgA nephropathy and two RBPs-based subtypes, and thus provide a certain basis for further research on the diagnosis and pathogenesis of IgA nephropathy.
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Affiliation(s)
- Xueqin Zhang
- Department of Nephrology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Peng Chao
- Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Hong Jiang
- Department of Nephrology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Shufen Yang
- Department of Nephrology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Gulimire Muhetaer
- Department of Nephrology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Jun Zhang
- Department of Nephrology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Xue Song
- Department of Nephrology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
- *Correspondence: Xue Song, ; Chen Lu,
| | - Chen Lu
- Department of Nephrology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- *Correspondence: Xue Song, ; Chen Lu,
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Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models. Sci Rep 2022; 12:13963. [PMID: 35978028 PMCID: PMC9385868 DOI: 10.1038/s41598-022-18273-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/08/2022] [Indexed: 11/08/2022] Open
Abstract
Immunoglobulin-A-nephropathy (IgAN) is a kidney disease caused by the accumulation of IgAN deposits in the kidneys, which causes inflammation and damage to the kidney tissues. Various bioinformatics analysis-based approaches are widely used to predict novel candidate genes and pathways associated with IgAN. However, there is still some scope to clearly explore the molecular mechanisms and causes of IgAN development and progression. Therefore, the present study aimed to identify key candidate genes for IgAN using machine learning (ML) and statistics-based bioinformatics models. First, differentially expressed genes (DEGs) were identified using limma, and then enrichment analysis was performed on DEGs using DAVID. Protein-protein interaction (PPI) was constructed using STRING and Cytoscape was used to determine hub genes based on connectivity and hub modules based on MCODE scores and their associated genes from DEGs. Furthermore, ML-based algorithms, namely support vector machine (SVM), least absolute shrinkage and selection operator (LASSO), and partial least square discriminant analysis (PLS-DA) were applied to identify the discriminative genes of IgAN from DEGs. Finally, the key candidate genes (FOS, JUN, EGR1, FOSB, and DUSP1) were identified as overlapping genes among the selected hub genes, hub module genes, and discriminative genes from SVM, LASSO, and PLS-DA, respectively which can be used for the diagnosis and treatment of IgAN.
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Noor F, Ahmad S, Saleem M, Alshaya H, Qasim M, Rehman A, Ehsan H, Talib N, Saleem H, Bin Jardan YA, Aslam S. Designing a multi-epitope vaccine against Chlamydia pneumoniae by integrating the core proteomics, subtractive proteomics and reverse vaccinology-based immunoinformatics approaches. Comput Biol Med 2022; 145:105507. [DOI: 10.1016/j.compbiomed.2022.105507] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/03/2022] [Accepted: 04/05/2022] [Indexed: 12/26/2022]
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Batool S, Javed MR, Aslam S, Noor F, Javed HMF, Seemab R, Rehman A, Aslam MF, Paray BA, Gulnaz A. Network Pharmacology and Bioinformatics Approach Reveals the Multi-Target Pharmacological Mechanism of Fumaria indica in the Treatment of Liver Cancer. Pharmaceuticals (Basel) 2022; 15:ph15060654. [PMID: 35745580 PMCID: PMC9229061 DOI: 10.3390/ph15060654] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 05/04/2022] [Accepted: 05/16/2022] [Indexed: 12/13/2022] Open
Abstract
Liver cancer (LC), a frequently occurring cancer, has become the fourth leading cause of cancer mortality. The small number of reported data and diverse spectra of pathophysiological mechanisms of liver cancer make it a challenging task and a serious economic burden in health care management. Fumaria indica is a herbaceous annual plant used in various regions of Asia to treat a variety of ailments, including liver cancer. Several in vitro investigations have revealed the effectiveness of F. indica in the treatment of liver cancer; however, the exact molecular mechanism is still unrevealed. In this study, the network pharmacology technique was utilized to characterize the mechanism of F. indica on liver cancer. Furthermore, we analyzed the active ingredient-target-pathway network and uncovered that Fumaridine, Lastourvilline, N-feruloyl tyramine, and Cryptopine conclusively contributed to the development of liver cancer by affecting the MTOR, MAPK3, PIK3R1, and EGFR gene. Afterward, molecular docking was used to verify the effective activity of the active ingredients against the prospective targets. The results of molecular docking predicted that several key targets of liver cancer (along with MTOR, EGFR, MAPK3, and PIK3R1) bind stably with the corresponding active ingredient of F. indica. We concluded through network pharmacology methods that multiple biological processes and signaling pathways involved in F. indica exerted a preventing effect in the treatment of liver cancer. The molecular docking results also provide us with sound direction for further experiments. In the framework of this study, network pharmacology integrated with docking analysis revealed that F. indica exerted a promising preventive effect on liver cancer by acting on liver cancer-associated signaling pathways. This enables us to understand the biological mechanism of the anti liver cancer activity of F. indica.
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Affiliation(s)
- Sara Batool
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Allama Iqbal Road, Faisalabad 38000, Pakistan; (S.B.); (F.N.); (R.S.); (A.R.)
| | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Allama Iqbal Road, Faisalabad 38000, Pakistan; (S.B.); (F.N.); (R.S.); (A.R.)
- Correspondence: (M.R.J.); (S.A.); Tel.: +92-(0)301-6012931 (M.R.J.); +92-(0)312-1759482 (S.A.)
| | - Sidra Aslam
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Allama Iqbal Road, Faisalabad 38000, Pakistan; (S.B.); (F.N.); (R.S.); (A.R.)
- Correspondence: (M.R.J.); (S.A.); Tel.: +92-(0)301-6012931 (M.R.J.); +92-(0)312-1759482 (S.A.)
| | - Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Allama Iqbal Road, Faisalabad 38000, Pakistan; (S.B.); (F.N.); (R.S.); (A.R.)
| | | | - Riffat Seemab
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Allama Iqbal Road, Faisalabad 38000, Pakistan; (S.B.); (F.N.); (R.S.); (A.R.)
| | - Abdur Rehman
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Allama Iqbal Road, Faisalabad 38000, Pakistan; (S.B.); (F.N.); (R.S.); (A.R.)
| | - Muhammad Farhan Aslam
- School of Biological Sciences, University of Edinburgh, Edinburgh P.O. Box EH9 3FF, UK;
| | - Bilal Ahamad Paray
- Department of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia;
| | - Aneela Gulnaz
- College of Pharmacy, Woosuk University, Wanju-gun 55338, Korea;
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Noor F, Saleem MH, Javed MR, Chen JT, Ashfaq UA, Okla MK, Abdel-Maksoud MA, Alwasel YA, Al-Qahtani WH, Alshaya H, Yasin G, Aslam S. Comprehensive computational analysis reveals H5N1 influenza virus-encoded miRNAs and host-specific targets associated with antiviral immune responses and protein binding. PLoS One 2022; 17:e0263901. [PMID: 35533150 PMCID: PMC9084522 DOI: 10.1371/journal.pone.0263901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 01/30/2022] [Indexed: 02/06/2023] Open
Abstract
H5N1 virus (H5N1V) is highly contagious among birds and it was first detected in humans in 1997 during a poultry outbreak in Hong Kong. As the mechanism of its pathogenesis inside the host is still lacking, in this in-silico study we hypothesized that H5N1V might create miRNAs, which could target the genes associated with host cellular regulatory pathways, thus provide persistent refuge to the virus. Using bioinformatics approaches, several H5N1V produced putative miRNAs as well as the host genes targeted by these miRNAs were found. Functional enrichment analysis of targeted genes revealed their involvement in many biological pathways that facilitate their host pathogenesis. Eventually, the microarray dataset (GSE28166) was analyzed to validate the altered expression level of target genes and found the genes involved in protein binding and adaptive immune responses. This study presents novel miRNAs and their targeted genes, which upon experimental validation could facilitate in developing new therapeutics against H5N1V infection.
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Affiliation(s)
- Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
| | | | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
| | - Jen-Tsung Chen
- Department of Life Sciences, National University of Kaohsiung, Kaohsiung, Taiwan
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
| | - Mohammad K. Okla
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Mostafa A. Abdel-Maksoud
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Yasmeen A. Alwasel
- Botany and Microbiology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Wahidah H. Al-Qahtani
- Department of food sciences & nutrition, College of food & Agriculture sciences, King Saud University, Riyadh, Saudi Arabia
| | - Huda Alshaya
- Cell and Molecular Biology, University of Arkansas, Fayetteville, AR, United States of America
| | - Ghulam Yasin
- Department of Botany, Bahauddin Zakariya University, Multan, Pakistan
| | - Sidra Aslam
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
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Noor F, Tahir ul Qamar M, Ashfaq UA, Albutti A, Alwashmi ASS, Aljasir MA. Network Pharmacology Approach for Medicinal Plants: Review and Assessment. Pharmaceuticals (Basel) 2022; 15:572. [PMID: 35631398 PMCID: PMC9143318 DOI: 10.3390/ph15050572] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 12/13/2022] Open
Abstract
Natural products have played a critical role in medicine due to their ability to bind and modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive scaffolds for the treatment of multiple disorders. The less adverse effects, affordability, and easy accessibility highlight their potential in traditional remedies. Identifying pharmacological targets from active ingredients of medicinal plants has become a hot topic for biomedical research to generate innovative therapies. By developing an unprecedented opportunity for the systematic investigation of traditional medicines, network pharmacology is evolving as a systematic paradigm and becoming a frontier research field of drug discovery and development. The advancement of network pharmacology has opened up new avenues for understanding the complex bioactive components found in various medicinal plants. This study is attributed to a comprehensive summary of network pharmacology based on current research, highlighting various active ingredients, related techniques/tools/databases, and drug discovery and development applications. Moreover, this study would serve as a protocol for discovering novel compounds to explore the full range of biological potential of traditionally used plants. We have attempted to cover this vast topic in the review form. We hope it will serve as a significant pioneer for researchers working with medicinal plants by employing network pharmacology approaches.
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Affiliation(s)
- Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (F.N.); (M.T.u.Q.)
| | - Muhammad Tahir ul Qamar
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (F.N.); (M.T.u.Q.)
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan; (F.N.); (M.T.u.Q.)
| | - Aqel Albutti
- Department of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
| | - Ameen S. S. Alwashmi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia; (A.S.S.A.); (M.A.A.)
| | - Mohammad Abdullah Aljasir
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia; (A.S.S.A.); (M.A.A.)
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Integrating Network Pharmacology and Molecular Docking Approaches to Decipher the Multi-Target Pharmacological Mechanism of Abrus precatorius L. Acting on Diabetes. Pharmaceuticals (Basel) 2022; 15:ph15040414. [PMID: 35455411 PMCID: PMC9029140 DOI: 10.3390/ph15040414] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/07/2022] [Accepted: 03/14/2022] [Indexed: 12/26/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a notable health care load that imposes a serious impact on the quality of life of patients. The small amount of reported data and multiple spectra of pathophysiological mechanisms of T2DM make it a challenging task and serious economic burden in health care management. Abrus precatorius L. is a slender, perennial, deciduous, and woody twining plant used in various regions of Asia to treat a variety of ailments, including diabetes mellitus. Various in vitro studies revealed the therapeutic significance of A. precatorius against diabetes. However, the exact molecular mechanism remains unclarified. In the present study, a network pharmacology technique was employed to uncover the active ingredients, their potential targets, and signaling pathways in A. precatorius for the treatment of T2DM. In the framework of this study, we explored the active ingredient–target–pathway network and figured out that abrectorin, abrusin, abrisapogenol J, sophoradiol, cholanoic acid, precatorine, and cycloartenol decisively contributed to the development of T2DM by affecting AKT1, MAPK3, TNFalpha, and MAPK1 genes. Later, molecular docking was employed to validate the successful activity of the active compounds against potential targets. Lastly, we conclude that four highly active constituents, namely, abrusin, abrisapogenol J, precatorine, and cycloartenol, help in improving the body’s sensitivity to insulin and regulate the expression of AKT1, MAPK3, TNFalpha, and MAPK1, which may act as potential therapeutic targets of T2DM. Integrated network pharmacology and docking analysis revealed that A. precatorius exerted a promising preventive effect on T2DM by acting on diabetes-associated signaling pathways. This provides a basis to understand the mechanism of the anti-diabetes activity of A. precatorius.
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Walayat N, Wang X, Nawaz A, Zhang Z, Abdullah, Khalifa I, Saleem MH, Mushtaq BS, Pateiro M, Lorenzo JM, Fiaz S, Ali S. Ovalbumin and Kappa-Carrageenan Mixture Suppresses the Oxidative and Structural Changes in the Myofibrillar Proteins of Grass Carp ( Ctenopharyngodon idella) during Frozen Storage. Antioxidants (Basel) 2021; 10:1186. [PMID: 34439434 PMCID: PMC8388887 DOI: 10.3390/antiox10081186] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/16/2021] [Accepted: 07/20/2021] [Indexed: 12/13/2022] Open
Abstract
This study was done to analyze the cryoprotective influence of ovalbumin (OVA) with kappa-carrageenan (KC) in grass carp myofibrillar proteins during frozen storage. Ca2+-ATPase activity of MP was significantly reduced due to protein denaturation and showed a direct association with decreased sulphydryl (SH) contents and tertiary structural properties. Besides that, an increase in carbonyl, surface hydrophobicity, and dityrosine contents was observed. The addition of OVA-KC significantly restricted the decline in Ca2+-ATPase and SH groups, which were further confirmed by the retarded increase in carbonyls. Furthermore, the addition of OVA-KC increased the stability of α-helix contents. Moreover, MP treated with 6% OVA-KC also improved intermolecular interaction forces linked with gelling and water holding properties of MP. Therefore, it can be concluded that OVA-KC could be used as an effective cryoprotectant in fish and related products for preservation and commercialization.
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Affiliation(s)
- Noman Walayat
- Department of Food Science and Engineering, College of Ocean, Zhejiang University of Technology, Hangzhou 310014, China
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;
| | - Xiukang Wang
- College of Life Sciences, Yan’an University, Yan’an 716000, China
| | - Asad Nawaz
- Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, China;
| | - Zhongli Zhang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;
| | - Abdullah
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310027, China;
| | - Ibrahim Khalifa
- Food Technology Department, Faculty of Agriculture, Benha University, Moshtohor 13736, Egypt;
| | - Muhammad Hamzah Saleem
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;
| | - Bilal Sajid Mushtaq
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China;
| | - Mirian Pateiro
- Centro Tecnológico de la Carne de Galicia, Avd. Galicia n°4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain; (M.P.); (J.M.L.)
| | - José M. Lorenzo
- Centro Tecnológico de la Carne de Galicia, Avd. Galicia n°4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain; (M.P.); (J.M.L.)
- Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidad de Vigo, 32004 Ourense, Spain
| | - Sajid Fiaz
- Department of Plant Breeding and Genetics, The University of Haripur, Haripur 22620, Pakistan;
| | - Shafaqat Ali
- Department of Environmental Sciences and Engineering, Government College University Allama Iqbal Road, Faisalabad 38000, Pakistan;
- Department of Biological Sciences and Technology, China Medical University, Taichung City 40402, Taiwan
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