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Zhuang T, Yang Y, Ren H, Zhang H, Gao C, Chen S, Shen J, Ji M, Cui Y. Novel plasma protein biomarkers: A time-dependent predictive model for Alzheimer's disease. Arch Gerontol Geriatr 2024; 129:105650. [PMID: 39427525 DOI: 10.1016/j.archger.2024.105650] [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: 09/25/2024] [Accepted: 09/30/2024] [Indexed: 10/22/2024]
Abstract
BACKGROUND The accurate prediction of Alzheimer's disease (AD) is crucial for the efficient management of its progression. The objective of this research was to construct a new risk predictive model utilizing novel plasma protein biomarkers for predicting AD incidence in the future and analyze their potential biological correlation with AD incidence. METHODS A cohort of 440 participants aged 60 years and older from the Alzheimer's Disease Neuroimaging Initiative (ADNI) longitudinal cohort was utilized. The baseline plasma proteomics data was employed to conduct Cox regression, LASSO regression, and cross-validation to identify plasma protein signatures predictive of AD risk. Subsequently, a multivariable Cox proportional hazards model based on these signatures was constructed. The performance of the risk prediction model was evaluated using time-dependent receiver operating characteristic (t-ROC) curves and Kaplan-Meier curves. Additionally, we analyzed the correlations between protein signature expression in plasma and predicted AD risk, the time of AD onset, the expression of protein signatures in cerebrospinal fluid (CSF), the expression of CSF and plasma biomarkers, and APOE ε4 genotypes. Colocalization and Mendelian randomization analyses was conducted to investigate the association between protein features and AD risk. GEO database was utilized to analyze the differential expression of protein features in the blood and brain of AD patients. RESULTS We identified seven protein signatures (APOE, CGA, CRP, CCL26, CCL20, NRCAM, and PYY) that independently predicted AD incidence in the future. The risk prediction model demonstrated area under the ROC curve (AUC) values of 0.77, 0.76, and 0.77 for predicting AD incidence at 4, 6, and 8 years, respectively. Furthermore, the model remained stable in the range of the 3rd to the 12th year (ROC ≥ 0.74). The low-risk group, as defined by the model, exhibited a significantly later AD onset compared to the high-risk group (P < 0.0001). Moreover, all protein signatures exhibited significant correlations with AD risk (P < 0.001) and the time of AD onset (P < 0.01). There was no strong correlation between the protein expression levels in plasma and CSF, as well as AD CSF biomarkers. APOE, CGA, and CRP exhibited significantly lower expression levels in APOE ε4 positive individuals (P < 0.05). Additionally, colocalization analysis reveals a significant association between AD and SNP loci in APOE. Mendelian randomization analysis shows a negative correlation between NRCAM and AD risk. Transcriptomic analysis indicates a significant downregulation of NRCAM and PYY in the peripheral blood of AD patients (P < 0.01), while APOE, CGA, and NRCAM are significantly downregulated in the brains of AD patients (P < 0.0001). CONCLUSION Our research has successfully identified protein signatures in plasma as potential risk biomarkers that can independently predict AD onset in the future. Notably, this risk prediction model has demonstrated commendable predictive performance and stability over time. These findings underscore the promising utility of plasma protein signatures in dynamically predicting the risk of AD, thereby facilitating early screening and intervention strategies.
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Affiliation(s)
- Tianchi Zhuang
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China
| | - Yingqi Yang
- The Second School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China
| | - Haili Ren
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China
| | - Haoxiang Zhang
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China
| | - Chang Gao
- The Second School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China
| | - Shen Chen
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China
| | - Jiemiao Shen
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China.
| | - Minghui Ji
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China.
| | - Yan Cui
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu 211166, PR China.
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Madonna R, Barachini S, Ghelardoni S, Lu L, Shen WF, De Caterina R. Vasostatins: new molecular targets for atherosclerosis, post-ischaemic angiogenesis, and arteriogenesis. Cardiovasc Res 2024; 120:132-139. [PMID: 38242632 DOI: 10.1093/cvr/cvae008] [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: 09/01/2023] [Revised: 11/25/2023] [Accepted: 11/30/2023] [Indexed: 01/21/2024] Open
Abstract
The chromogranin-secretogranin secretory proteins-granins-are acidic proteins localized in granules of endocrine cells and neurons. The chromogranin family includes chromogranins A (CgA) and B, as well as secretogranin II (once called chromogranin C). Members of this family undergo catalytic proteolysis to produce active peptides. The CgA-derived peptides vasostatin-1 and vasostatin-2, in particular, appear to protect against atherosclerosis, suppressing the expression of vascular cell adhesion molecule-1 and intercellular adhesion molecule-1, as well as exerting vasodilatory effects by enhancing nitric oxide bioavailability. Vasostatin-1 also suppresses vasoconstriction and abnormal angiogenesis. Vasostatin-1 and vasostatin-2 may be novel therapeutic targets for atherosclerosis and coronary heart disease, also protecting the myocardium against ischaemic damage.
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Affiliation(s)
- Rosalinda Madonna
- Department of Surgical, Medical, and Molecular Pathology and Critical Care, University of Pisa and Pisa University Hospital, Via Paradisa 2, 56124 Pisa, Italy
| | - Serena Barachini
- Department of Clinical and Experimental Medicine, Laboratory for Cell Therapy, University of Pisa, Pisa, Italy
| | - Sandra Ghelardoni
- Department of Pathology, Laboratory of Biochemistry, University of Pisa, Pisa, Italy
| | - Lin Lu
- Department of Cardiovascular Medicine, Rui Jin Hospital, Shanghai Jiaotong University School of Medicine, 197 Rui Jin Road II, Shanghai 200025, People's Republic of China
| | - Wei-Feng Shen
- Department of Cardiovascular Medicine, Rui Jin Hospital, Shanghai Jiaotong University School of Medicine, 197 Rui Jin Road II, Shanghai 200025, People's Republic of China
| | - Raffaele De Caterina
- Department of Surgical, Medical, and Molecular Pathology and Critical Care, University of Pisa and Pisa University Hospital, Via Paradisa 2, 56124 Pisa, Italy
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Xie J, Li F, Cai Y, Zhang J, Zhang Y, Zhai Z, Su Z, Chen X, Lei M, Liu R, Li W, Kang D, Chen X, Hong A. SAIF plays anti-angiogenesis via blocking VEGF-VEGFR2-ERK signal in tumor treatment. Heliyon 2023; 9:e18240. [PMID: 37539189 PMCID: PMC10395482 DOI: 10.1016/j.heliyon.2023.e18240] [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: 02/18/2023] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 08/05/2023] Open
Abstract
Shark cartilage was created as a cancer-fighting diet because it was believed to have an element that may suppress tumor growth. Due to overfishing, sharks have become endangered recently, making it impossible to harvest natural components from shark cartilage for therapeutic development research. Previously, we identified a peptide SAIF from shark cartilage with an-tiangiogenic and anti-tumor effects, successfully expressed it in Escherichia coli by using genetic engineering techniques. However, we did not elucidate the specific target of SAIF and its antiangiogenic molecular mechanism, which hindered its further drug development. Therefore, in this work, the exact mechanism of action was studied using various techniques, including cellular and in vivo animal models, computer-aided simulation, molecular target capture, and transcriptome sequencing analysis. With VEGF-VEGFR2 interaction and preventing the activation of VEGFR2/ERK signaling pathways, SAIF was discovered to decrease angiogenesis and hence significantly limit tumor development. The findings further demonstrated SAIF's strong safety and pharmaceutically potential. The evidence showed that SAIF, which is expressed by, is a potent and safe angiogenesis inhibitor and might be developed as a candidate peptide drug for the treatment of solid tumors such as hepatocellular carcinoma and other conditions linked with angiogenic overgrowth.
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Affiliation(s)
- Junye Xie
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Fu Li
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Yuling Cai
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Jinting Zhang
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Yibo Zhang
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Zhaodong Zhai
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Zijian Su
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Xue Chen
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Minghua Lei
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Rongzhan Liu
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Weicai Li
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Dianlong Kang
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
| | - Xiaojia Chen
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
- The First Affiliated Hospital, Ji'nan University, Guangzhou, 510630, China
| | - An Hong
- Institute of Biomedicine & Department of Cell Biology, College of Life Science and Technology, Guangdong Province Key Laboratory of Bioengineering Medicine, Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center; National Engineering Research Center of Genetic Medicine, Ji'nan University, Guangzhou, 510632, China
- The First Affiliated Hospital, Ji'nan University, Guangzhou, 510630, China
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Chinnadurai RK, Khan N, Meghwanshi GK, Ponne S, Althobiti M, Kumar R. Current research status of anti-cancer peptides: Mechanism of action, production, and clinical applications. Biomed Pharmacother 2023; 164:114996. [PMID: 37311281 DOI: 10.1016/j.biopha.2023.114996] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/01/2023] [Accepted: 06/06/2023] [Indexed: 06/15/2023] Open
Abstract
The escalating rate of cancer cases, together with treatment deficiencies and long-term side effects of currently used cancer drugs, has made this disease a global burden of the 21st century. The number of breast and lung cancer patients has sharply increased worldwide in the last few years. Presently, surgical treatment, radiotherapy, chemotherapy, and immunotherapy strategies are used to cure cancer, which cause severe side effects, toxicities, and drug resistance. In recent years, anti-cancer peptides have become an eminent therapeutic strategy for cancer treatment due to their high specificity and fewer side effects and toxicity. This review presents an updated overview of different anti-cancer peptides, their mechanisms of action and current production strategies employed for their manufacture. In addition, approved and under clinical trials anti-cancer peptides and their applications have been discussed. This review provides updated information on therapeutic anti-cancer peptides that hold great promise for cancer treatment in the near future.
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Affiliation(s)
- Raj Kumar Chinnadurai
- Mahatma Gandhi Medical Advanced Research Institute, Sri Balaji Vidhyapeeth (Deemed-to-be-University), Pondicherry 607402, India
| | - Nazam Khan
- Department of Clinical Laboratory Science, College of Applied Medical Science, Shaqra University, Shaqra, Kingdom of Saudi Arabia
| | | | - Saravanaraman Ponne
- Department of Biotechnology, Pondicherry University, Pondicherry 605014, India
| | - Maryam Althobiti
- Department of Clinical Laboratory Science, College of Applied Medical Science, Shaqra University, Shaqra, Kingdom of Saudi Arabia.
| | - Rajender Kumar
- Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, AlbaNova University Center, Stockholm 106 91, Sweden.
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Wang F, Zeng Y, Liu X, Cao J, Kang S, Zhou W, Chen X, Liu J, Zhang D. Chromogranin A-derived peptide CGA47-66 protects against septic brain injury by reducing blood-brain barrier damage through the PI3K/AKT pathway. Biochem Biophys Res Commun 2022; 605:162-170. [PMID: 35339012 DOI: 10.1016/j.bbrc.2022.03.046] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/08/2022] [Indexed: 11/02/2022]
Abstract
CGA47-66 (Chromofungin, CHR), is a peptide derived from the N-terminus of chromogranin A (CgA), has been proven to inhibit the lipopolysaccharide (LPS)-induced brain injury. However, the underlying mechanism is still unknown. We found that CGA47-66 exerted a protective effect on cognitive impairment by inhibiting the destruction of the blood-brain barrier (BBB) in the LPS-induced sepsis mice model. In addition, the hCMEC/D3 cell line was used to establish an in vitro BBB model. Under LPS stimulation, CGA47-66 could significantly alleviate the hyperpermeability of the BBB, the destruction of tight junction proteins, and the rearrangement of F-actin. To investigate the underlying mechanism, we used LY294002, a PI3K inhibitor, which partially reduced the protective effect of CGA47-66 on the integrity of BBB. Indicating that the PI3K/AKT pathway plays a vital role in the brain-protective function of CGA47-66, which might be a potential therapeutic target for septic brain injury.
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Affiliation(s)
- FengLin Wang
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
| | - Yan Zeng
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China; Intensive Care Unit, Chongqing University Central Hospital, Chongqing, 400016, PR China.
| | - Xian Liu
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
| | - JiaJun Cao
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
| | - ShengNan Kang
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
| | - WuShuang Zhou
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
| | - XiaoYing Chen
- Department of Surgical Care Unit, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
| | - JingLun Liu
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
| | - Dan Zhang
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, PR China.
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