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Kitamura Y, Oikawa S, Chang J, Mori Y, Ichihara G, Ichihara S. Carbonylated Proteins as Key Regulators in the Progression of Metabolic Syndrome. Antioxidants (Basel) 2023; 12:antiox12040844. [PMID: 37107219 PMCID: PMC10135001 DOI: 10.3390/antiox12040844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Based on the known role of oxidative stress in the pathogenesis and progression of metabolic syndrome, we used two-dimensional gel electrophoresis with immunochemical detection of protein carbonyls (2D-Oxyblot) to characterize the carbonylated proteins induced by oxidative stress in spontaneously hypertensive rats/NDmcr-cp (CP), an animal model of metabolic syndrome. We also profiled the proteins that showed change of expression levels in their epididymal adipose tissue at the pre-symptomatic (6-week-old) and the symptomatic (25-week-old) stages of the metabolic syndrome. Two-dimensional fluorescence difference gel electrophoresis (2D-DIGE) combined with matrix-assisted laser desorption ionization time-of-flight tandem mass spectrometry (MALDI-TOF/TOF MS) was used to analyze proteins extracted from the epididymal adipose tissue. The up-regulated proteins identified at the pre-symptomatic stage were mainly associated with ATP production and redox reaction, while the down-regulated proteins found at the symptomatic stage were involved in antioxidant activity and the tricarboxylic acid (TCA) cycle. Further analysis using the 2D-Oxyblot showed significantly high carbonylation levels of gelsolin and glycerol-3-phosphate dehydrogenase [NAD+] at the symptomatic stage. These results suggest that reduced antioxidant capacity underlies the increased oxidative stress state in the metabolic syndrome. The identified carbonylated proteins, including gelsolin, are potential targets that may act as key regulators in the progression of the metabolic syndrome.
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Affiliation(s)
- Yuki Kitamura
- Department of Molecular and Environmental Medicine, Mie University Graduate School of Medicine, Tsu 514-8507, Japan
- Department of Environmental and Preventive Medicine, Jichi Medical University School of Medicine, Shimotsuke 329-0498, Japan
| | - Shinji Oikawa
- Department of Molecular and Environmental Medicine, Mie University Graduate School of Medicine, Tsu 514-8507, Japan
| | - Jie Chang
- Graduate School of Regional Innovation Studies, Mie University, Tsu 514-8507, Japan
| | - Yurie Mori
- Department of Molecular and Environmental Medicine, Mie University Graduate School of Medicine, Tsu 514-8507, Japan
| | - Gaku Ichihara
- Department of Occupational and Environmental Health, Tokyo University of Sciences, Noda 278-8510, Japan
| | - Sahoko Ichihara
- Department of Environmental and Preventive Medicine, Jichi Medical University School of Medicine, Shimotsuke 329-0498, Japan
- Graduate School of Regional Innovation Studies, Mie University, Tsu 514-8507, Japan
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Tao X, Yang W, Zhu S, Que R, Liu C, Fan T, Wang J, Mo D, Zhang Z, Tan J, Jin K, Yenari MA, Song T, Wang Q. Models of poststroke depression and assessments of core depressive symptoms in rodents: How to choose? Exp Neurol 2019; 322:113060. [PMID: 31505162 DOI: 10.1016/j.expneurol.2019.113060] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 08/09/2019] [Accepted: 09/05/2019] [Indexed: 01/22/2023]
Abstract
Our previous studies have indicated that depression and declined cognition have been involved in some neurodegenerative diseases including Stroke, Parkinson's diseases and Vascular Parkinsonism. Post-stroke depression (PSD) is the most common psychiatric disorder following a stroke and has high morbidity and mortality. Studies on PSD are increasingly common, but the specific mechanisms remain unknown. Current research mainly includes clinical and animal aspects. Questionnaires and peripheral blood examination are two of the most common methods used to study clinical PSD. The results of questionnaires are influenced by multiple factors such as disease history, education background, occupation, economic status, family relationships and social support. There are certain limitations to blood sample testing; for example, it is influenced by cerebrovascular diseases and some other disruptions of the internal environment. It is difficult for either method to fully clarify the pathophysiological mechanism of PSD. Animal models provide alternative methods to further understand the pathophysiological mechanisms of PSD, such as the involvement of neuronal circuits and cytokines. More than ten animal models of PSD have been developed, and new models are constantly being introduced. Therefore, it is important to choose the appropriate model for any given study. In this paper, we will discuss the characteristics of the different models of PSD and comment on the advantages and disadvantages of each model, drawing from research on model innovation. Finally, we briefly describe the current assessment methods for the core symptoms of PSD models, point out the shortcomings, and present the improved sucrose preference test as a rational evaluation of anhedonia.
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Affiliation(s)
- Xi Tao
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China; Department of Neurological Rehabilitation, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China
| | - Wanlin Yang
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Shuzhen Zhu
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Rongfang Que
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Chujuan Liu
- Department of Neurological Rehabilitation, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China
| | - Tao Fan
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Jia Wang
- Department of Scientific Research, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China
| | - Danheng Mo
- Department of Neurology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China
| | - Zhuohua Zhang
- The State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan 410078, China
| | - Jieqiong Tan
- The State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan 410078, China
| | - Kunlin Jin
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX 76107, USA
| | - Midori A Yenari
- Department of Neurology, University of California, San Francisco & the San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Tao Song
- Department of Neurological Rehabilitation, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China.
| | - Qing Wang
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
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