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Yadav S, Deepika, Moar K, Kumar A, Khola N, Pant A, Kakde GS, Maurya PK. Reconsidering red blood cells as the diagnostic potential for neurodegenerative disorders. Biol Cell 2024; 116:e2400019. [PMID: 38822416 DOI: 10.1111/boc.202400019] [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: 02/22/2024] [Revised: 04/12/2024] [Accepted: 04/29/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Red blood cells (RBCs) are usually considered simple cells and transporters of gases to tissues. HYPOTHESIS However, recent research has suggested that RBCs may have diagnostic potential in major neurodegenerative disorders (NDDs). RESULTS This review summarizes the current knowledge on changes in RBC in Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and other NDDs. It discusses the deposition of neuronal proteins like amyloid-β, tau, and α-synuclein, polyamines, changes in the proteins of RBCs like band-3, membrane transporter proteins, heat shock proteins, oxidative stress biomarkers, and altered metabolic pathways in RBCs during neurodegeneration. It also highlights the comparison of RBC diagnostic markers to other in-market diagnoses and discusses the challenges in utilizing RBCs as diagnostic tools, such as the need for standardized protocols and further validation studies. SIGNIFICANCE STATEMENT The evidence suggests that RBCs have diagnostic potential in neurodegenerative disorders, and this study can pave the foundation for further research which may lead to the development of novel diagnostic approaches and treatments.
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Affiliation(s)
- Somu Yadav
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
| | - Deepika
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
| | - Kareena Moar
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
| | - Akshay Kumar
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
| | - Nikhila Khola
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
| | - Anuja Pant
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
| | - Ganseh S Kakde
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
| | - Pawan Kumar Maurya
- Department of Biochemistry, Central University of Haryana, Mahendergarh, India
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Li W, Zhou Y, Luo Z, Tang R, Sun Y, He Q, Xia B, Lu K, Hou Q, Yuan J. Lipidomic markers for the prediction of progression from mild cognitive impairment to Alzheimer's disease. FASEB J 2023; 37:e22998. [PMID: 37289136 DOI: 10.1096/fj.202201584rr] [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: 09/30/2022] [Revised: 04/18/2023] [Accepted: 05/12/2023] [Indexed: 06/09/2023]
Abstract
Dementia is a well-known syndrome and Alzheimer's disease (AD) is the main cause of dementia. Lipids play a key role in the pathogenesis of AD, however, the prediction value of serum lipidomics on AD remains unclear. This study aims to construct a lipid score system to predict the risk of progression from mild cognitive impairment (MCI) to AD. First, we used the least absolute shrinkage and selection operator (LASSO) Cox regression model to select the lipids that can signify the progression from MCI to AD based on 310 older adults with MCI. Then we constructed a lipid score based on 14 single lipids using Cox regression and estimated the association between the lipid score and progression from MCI to AD. The prevalence of AD in the low-, intermediate- and high-score groups was 42.3%, 59.8%, and 79.8%, respectively. The participants in the intermediate- and high-score group had a 1.65-fold (95% CI 1.10 to 2.47) and 3.55-fold (95% CI 2.40 to 5.26) higher risk of AD, respectively, as compared to those with low lipid scores. The lipid score showed moderate prediction efficacy (c-statistics > 0.72). These results suggested that the score system based on serum lipidomics is useful for the prediction of progression from MCI to AD.
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Affiliation(s)
- Wenjing Li
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yinhua Zhou
- Center for Clinical Medical Humanities, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhaofan Luo
- Department of Clinical Laboratory, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Rixin Tang
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuxuan Sun
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Qiangsheng He
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Bin Xia
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Kuiqing Lu
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Qinghua Hou
- Clinical Neuroscience Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinqiu Yuan
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
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Geiger M, Hayter E, Martin R, Spence D. Red blood cells in type 1 diabetes and multiple sclerosis and technologies to measure their emerging roles. J Transl Autoimmun 2022; 5:100161. [PMID: 36039310 PMCID: PMC9418496 DOI: 10.1016/j.jtauto.2022.100161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/14/2022] [Accepted: 07/21/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- M. Geiger
- Institute of Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - E. Hayter
- Department of Chemistry, Saint Louis University, St. Louis, MO 63103, USA
| | - R.S. Martin
- Department of Chemistry, Saint Louis University, St. Louis, MO 63103, USA
| | - D. Spence
- Institute of Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, MI 48824, USA
- Corresponding author. 775 Woodlot Drive, East Lansing, MI 48824, USA.
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Vadakkan KI. Neurological disorders of COVID-19 can be explained in terms of both "loss and gain of function" states of a solution for the nervous system. Brain Circ 2021; 7:217-222. [PMID: 34667907 PMCID: PMC8459691 DOI: 10.4103/bc.bc_46_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 07/07/2021] [Accepted: 07/23/2021] [Indexed: 12/14/2022] Open
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Li YP, Mikrani R, Hu YF, Faran Ashraf Baig MM, Abbas M, Akhtar F, Xu M. Research progress of phosphatidylinositol 4-kinase and its inhibitors in inflammatory diseases. Eur J Pharmacol 2021; 907:174300. [PMID: 34217706 DOI: 10.1016/j.ejphar.2021.174300] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 06/24/2021] [Accepted: 06/30/2021] [Indexed: 01/08/2023]
Abstract
Phosphatidylinositol 4-kinase (PI4K) is a lipid kinase that can catalyze the transfer of phosphate group from ATP to the inositol ring of phosphatidylinositol (PtdIns) resulting in the phosphorylation of PtdIns at 4-OH sites, to generate phosphatidylinositol 4-phosphate (PI4P). Studies on biological functions reveal that PI4K is closely related to the occurrence and development of various inflammatory diseases such as obesity, cancer, viral infections, malaria, Alzheimer's disease, etc. PI4K-related inhibitors have been found to have the effects of inhibiting virus replication, anti-cancer, treating malaria and reducing rejection in organ transplants, among which MMV390048, an anti-malaria drug, has entered phase II clinical trial. This review discusses the classification, structure, distribution and related inhibitors of PI4K and their role in the progression of cancer, viral replication, and other inflammation induced diseases to explore their potential as therapeutic targets.
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Affiliation(s)
- Yan-Ping Li
- Department of Clinical Pharmacy, School of Preclinical Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
| | - Reyaj Mikrani
- Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Victoria 3052, Australia
| | - Yi-Fan Hu
- Department of Clinical Pharmacy, School of Preclinical Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
| | - Mirza Muhammad Faran Ashraf Baig
- Laboratory of Biomedical Engineering for Novel Bio-functional and Pharmaceutical Nano-materials, Prince Philip Dental Hospital, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, 999077, China
| | - Muhammad Abbas
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, 210023, PR China
| | - Fahad Akhtar
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China; School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ming Xu
- Department of Clinical Pharmacy, School of Preclinical Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
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