1
|
Venna NK, Lalhruaitluanga H, Challa S. Cowpea isoflavones enhance the osteoblast differentiation and antioxidant capacity in synergy with vitamin D and β-carotene: A mechanistic in vitro study. Nutr Health 2025; 31:303-312. [PMID: 37338526 DOI: 10.1177/02601060231181606] [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] [Indexed: 06/21/2023]
Abstract
Background: Osteoporosis (OS) is a pathological condition that makes bones susceptible to fractures by affecting the balance between bone formation and resorption. Recent literature uncovered the possible potential of bioactive compounds with antioxidant mechanisms to counter the issue. Cowpea (CP) isoflavones based on our previous study, vitamin D and natural antioxidant β-carotene for its pleotropic protective effects were assessed alone and in combination. Aim: The study aims to assess the antioxidant and osteoblast differentiation abilities of cowpea isoflavones alone and in combination of vitamin D (VD) and β-carotene (BC) in the human osteosarcoma cell line Saos2. Methods: Saos2 cells were maintained in cell culture conditions and concentrations of CP extract (genistein + daidzein), BC and VD required to increase cell proliferation were estimated using MTT assay. Upon treating cells with the EC50 concentrations, lysates were prepared and levels of alkaline phosphatase (ALP) and osteocalcin were evaluated using ELISA. Oxidative stress parameters and osteoblast differentiation markers were evaluated. Results: CP extract (genistein + daidzein), BC and VD concentrations which enhanced the cell proliferation rate were determined and elevated levels of ALP and osteocalcin upon treatment was observed. Anti-oxidant stress parameters studied showed an increase in cells upon treatment compared to control. Significant alterations in levels of protein involved in osteoblast differentiation are observed upon treatment. Conclusion: Cowpea isoflavones has shown a significant activity against OS by elevating antioxidant parameters and inducing osteoblast differentiation in the present study.
Collapse
Affiliation(s)
- Naresh Kumar Venna
- Cell Biology Division, National Institute of Nutrition, Hyderabad, Telangana, India
| | | | - Suresh Challa
- Cell Biology Division, National Institute of Nutrition, Hyderabad, Telangana, India
| |
Collapse
|
2
|
Zhang B, Pei Z, Tian A, He W, Sun C, Hao T, Ariben J, Li S, Wu L, Yang X, Zhao Z, Wu L, Meng C, Xue F, Wang X, Ma X, Zheng F. Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis. Orthop Surg 2024; 16:2803-2820. [PMID: 39238187 PMCID: PMC11541141 DOI: 10.1111/os.14172] [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: 12/30/2023] [Revised: 07/04/2024] [Accepted: 07/08/2024] [Indexed: 09/07/2024] Open
Abstract
OBJECTIVE Osteoporosis is a severe bone disease with a complex pathogenesis involving various immune processes. With the in-depth understanding of bone immune mechanisms, discovering new therapeutic targets is crucial for the prevention and treatment of osteoporosis. This study aims to explore novel bone immune markers related to osteoporosis based on single-cell and transcriptome data, utilizing bioinformatics and machine learning methods, in order to provide novel strategies for the diagnosis and treatment of the disease. METHODS Single cell and transcriptome data sets were acquired from Gene Expression Omnibus (GEO). The data was then subjected to cell communication analysis, pseudotime analysis, and high dimensional WGCNA (hdWGCNA) analysis to identify key immune cell subpopulations and module genes. Subsequently, ConsensusClusterPlus analysis was performed on the key module genes to identify different diseased subgroups in the osteoporosis (OP) training set samples. The immune characteristics between subgroups were evaluated using Cibersort, EPIC, and MCP counter algorithms. OP's hub genes were screened using 10 machine learning algorithms and 113 algorithm combinations. The relationship between hub genes and immunity and pathways was established by evaluating the immune and pathway scores of the training set samples through the ESTIMATE, MCP-counter, and ssGSEA algorithms. Real-time fluorescence quantitative PCR (RT-qPCR) testing was conducted on serum samples collected from osteoporosis patients and healthy adults. RESULTS In OP samples, the proportions of bone marrow-derived mesenchymal stem cells (BM-MSCs) and neutrophils increased significantly by 6.73% (from 24.01% to 30.74%) and 6.36% (from 26.82% to 33.18%), respectively. We found 16 intersection genes and four hub genes (DND1, HIRA, SH3GLB2, and F7). RT-qPCR results showed reduced expression levels of DND1, HIRA, and SH3GLB2 in clinical blood samples of OP patients. Moreover, the four hub genes showed positive correlations with neutrophils (0.65-0.90), immature B cells (0.76-0.92), and endothelial cells (0.79-0.87), while showing negative correlations with myeloid-derived suppressor cells (negative 0.54-0.73), T follicular helper cells (negative 0.71-0.86), and natural killer T cells (negative 0.75-0.85). CONCLUSION Neutrophils play a crucial role in the occurrence and development of osteoporosis. The four hub genes potentially inhibit metabolic activities and trigger inflammation by interacting with other immune cells, thereby significantly contributing to the onset and diagnosis of OP.
Collapse
Affiliation(s)
- Baoxin Zhang
- Suzhou Medical College of Soochow UniversitySuzhouPeople's Republic of China
- Department of Hepatic HydatidosisQinghai Provincial People's HospitalXiningPeople's Republic of China
- Orthopedic Research Institute, Tianjin HospitalTianjinPeople's Republic of China
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
- Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | - Zhiwei Pei
- Orthopedic Research Institute, Tianjin HospitalTianjinPeople's Republic of China
| | - Aixian Tian
- Orthopedic Research Institute, Tianjin HospitalTianjinPeople's Republic of China
| | - Wanxiong He
- Sanya People's HospitalSanyaPeople's Republic of China
| | - Chao Sun
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | - Ting Hao
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | | | - Siqin Li
- Bayannur City HospitalBayannurPeople's Republic of China
| | - Lina Wu
- Aier Eye HospitalTianjin UniversityTianjinPeople's Republic of China
| | - Xiaolong Yang
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | - Zhenqun Zhao
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | - Lina Wu
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | - Chenyang Meng
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | - Fei Xue
- The Second Affiliated Hospital of Inner Mongolia Medical UniversityHohhotPeople's Republic of China
| | - Xing Wang
- Bayannur City HospitalBayannurPeople's Republic of China
| | - Xinlong Ma
- Orthopedic Research Institute, Tianjin HospitalTianjinPeople's Republic of China
| | - Feng Zheng
- Suzhou Medical College of Soochow UniversitySuzhouPeople's Republic of China
- Department of Hepatic HydatidosisQinghai Provincial People's HospitalXiningPeople's Republic of China
| |
Collapse
|
3
|
Jamaddar S, Raposo A, Sarkar C, Roy UK, Araújo IM, Coutinho HDM, Alkhoshaiban AS, Alturki HA, Saraiva A, Carrascosa C, Islam MT. Ethnomedicinal Uses, Phytochemistry, and Therapeutic Potentials of Litsea glutinosa (Lour.) C. B. Robinson: A Literature-Based Review. Pharmaceuticals (Basel) 2022; 16:ph16010003. [PMID: 36678501 PMCID: PMC9864784 DOI: 10.3390/ph16010003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
Litsea glutinosa (Lour.) C. B. Robinson, belonging to the family Lauraceae, is a multipurpose and fast-growing evergreen or deciduous tree that has been traditionally used for numerous purposes such as treatment for diarrhea, dysentery, abdominal pain, indigestion, gastroenteritis, edema, traumatic injuries, colds, arthritis, asthma, diabetes, pain relief, and poignant sexual power. This study aimed to summarize the chemical reports, folk values, and phytopharmacological activities of L. glutinosa, based on available information screened from diverse databases. An up-to-date electronic-based search was accomplished to obtain detailed information, with the help of several databases such as Google Scholar, Scopus, SpringerLink, Web of Science, ScienceDirect, ResearchGate, PubMed, ChemSpider, Elsevier, BioMed Central, and the USPTO, CIPO, INPI, Google Patents, and Espacenet, using relevant keywords. Outcomes advocate that, up to the present time, alkaloids, glycosides, and terpenoids are abundant in, and the most bioactive constituents of, this natural plant. Results demonstrated that L. glutinosa has various remarkable biological activities, including antioxidant, anti-inflammatory, anti-microbial, anticancer, antipyretic, anti-diabetic, analgesic, hepatoprotective, and wound-healing activity. One study revealed that L. glutinosa exhibited significant aphrodisiac and anti-infertility activity. Nevertheless, no clinical studies have been cited. Taken together, L. glutinosa may be one of the significant sources of bioactive constituents that could potentially lead to different effective pharmacological activities. On the other hand, future research should focus on clinical studies and several toxicity evaluations, such as sub-chronic toxicity, teratogenicity, and genotoxicity.
Collapse
Affiliation(s)
- Sarmin Jamaddar
- Department of Pharmacy, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh
| | - António Raposo
- CBIOS (Research Center for Biosciences and Health Technologies), Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, Portugal
- Correspondence:
| | - Chandan Sarkar
- Department of Pharmacy, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh
| | - Uttam Kumar Roy
- Department of Pharmacy, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh
| | - Isaac Moura Araújo
- Department of Biological Chemistry, Laboratory of Microbiology and Molecular Biology, Program of Post-Graduation in Molecular Bioprospection, Regional University of Cariri, Crato 63105-000, CE, Brazil
| | - Henrique Douglas Melo Coutinho
- Department of Biological Chemistry, Laboratory of Microbiology and Molecular Biology, Program of Post-Graduation in Molecular Bioprospection, Regional University of Cariri, Crato 63105-000, CE, Brazil
| | - Ali Saleh Alkhoshaiban
- Academic and Training Affairs, Qassim University Medical City, Qassim University, Buraydah 52571, Saudi Arabia
| | - Hmidan A. Alturki
- General Directorate for Funds & Grants. King Abdulaziz City for Science & Technology, Riyadh 11442, Saudi Arabia
| | - Ariana Saraiva
- Department of Animal Pathology and Production, Bromatology and Food Technology, Faculty of Veterinary, Universidad de Las Palmas de Gran Canaria, Trasmontaña s/n, 35413 Arucas, Spain
| | - Conrado Carrascosa
- Department of Animal Pathology and Production, Bromatology and Food Technology, Faculty of Veterinary, Universidad de Las Palmas de Gran Canaria, Trasmontaña s/n, 35413 Arucas, Spain
| | - Muhammad Torequl Islam
- Department of Pharmacy, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh
| |
Collapse
|
4
|
Wang X, Pei Z, Hao T, Ariben J, Li S, He W, Kong X, Chang J, Zhao Z, Zhang B. Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis. Front Immunol 2022; 13:987937. [PMID: 36311708 PMCID: PMC9610549 DOI: 10.3389/fimmu.2022.987937] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/27/2022] [Indexed: 11/19/2022] Open
Abstract
Backgrounds As a systemic skeletal dysfunction, osteoporosis (OP) is characterized by low bone mass and bone microarchitectural damage. The global incidences of OP are high. Methods Data were retrieved from databases like Gene Expression Omnibus (GEO), GeneCards, Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), Gene Expression Profiling Interactive Analysis (GEPIA2), and other databases. R software (version 4.1.1) was used to identify differentially expressed genes (DEGs) and perform functional analysis. The Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression and random forest algorithm were combined and used for screening diagnostic markers for OP. The diagnostic value was assessed by the receiver operating characteristic (ROC) curve. Molecular signature subtypes were identified using a consensus clustering approach, and prognostic analysis was performed. The level of immune cell infiltration was assessed by the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm. The hub gene was identified using the CytoHubba algorithm. Real-time fluorescence quantitative PCR (RT-qPCR) was performed on the plasma of osteoporosis patients and control samples. The interaction network was constructed between the hub genes and miRNAs, transcription factors, RNA binding proteins, and drugs. Results A total of 40 DEGs, eight OP-related differential genes, six OP diagnostic marker genes, four OP key diagnostic marker genes, and ten hub genes (TNF, RARRES2, FLNA, STXBP2, EGR2, MAP4K2, NFKBIA, JUNB, SPI1, CTSD) were identified. RT-qPCR results revealed a total of eight genes had significant differential expression between osteoporosis patients and control samples. Enrichment analysis showed these genes were mainly related to MAPK signaling pathways, TNF signaling pathway, apoptosis, and Salmonella infection. RT-qPCR also revealed that the MAPK signaling pathway (p38, TRAF6) and NF-kappa B signaling pathway (c-FLIP, MIP1β) were significantly different between osteoporosis patients and control samples. The analysis of immune cell infiltration revealed that monocytes, activated CD4 memory T cells, and memory and naïve B cells may be related to the occurrence and development of OP. Conclusions We identified six novel OP diagnostic marker genes and ten OP-hub genes. These genes can be used to improve the prognostic of OP and to identify potential relationships between the immune microenvironment and OP. Our research will provide insights into the potential therapeutic targets and pathogenesis of osteoporosis.
Collapse
Affiliation(s)
- Xing Wang
- Bayannur Hospital, Bayannur City, China
| | - Zhiwei Pei
- Inner Mongolia Medical University, Hohhot, China
| | - Ting Hao
- The Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | | | - Siqin Li
- Bayannur Hospital, Bayannur City, China
| | - Wanxiong He
- Inner Mongolia Medical University, Hohhot, China
| | - Xiangyu Kong
- Inner Mongolia Medical University, Hohhot, China
| | - Jiale Chang
- Inner Mongolia Medical University, Hohhot, China
| | - Zhenqun Zhao
- The Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Baoxin Zhang
- The Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| |
Collapse
|