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Peliciari-Garcia RA, de Barros CF, Secio-Silva A, de Barros Peruchetti D, Romano RM, Bargi-Souza P. Multi-omics Investigations in Endocrine Systems and Their Clinical Implications. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1443:187-209. [PMID: 38409422 DOI: 10.1007/978-3-031-50624-6_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Innovative techniques such as the "omics" can be a powerful tool for the understanding of intracellular pathways involved in homeostasis maintenance and identification of new potential therapeutic targets against endocrine-metabolic disorders. Over the last decades, proteomics has been extensively applied in the study of a wide variety of human diseases, including those involving the endocrine system. Among the most endocrine-related disorders investigated by proteomics in humans are diabetes mellitus and thyroid, pituitary, and reproductive system disorders. In diabetes, proteins implicated in insulin signaling, glucose metabolism, and β-cell activity have been investigated. In thyroid diseases, protein expression alterations were described in thyroid malignancies and autoimmune thyroid illnesses. Additionally, proteomics has been used to investigate the variations in protein expression in adrenal cancers and conditions, including Cushing's syndrome and Addison's disease. Pituitary tumors and disorders including acromegaly and hypopituitarism have been studied using proteomics to examine changes in protein expression. Reproductive problems such as polycystic ovarian syndrome and endometriosis are two examples of conditions where alterations in protein expression have been studied using proteomics. Proteomics has, in general, shed light on the molecular underpinnings of many endocrine-related illnesses and revealed promising biomarkers for both their detection and treatment. The capacity of proteomics to thoroughly and objectively examine complex protein mixtures is one of its main benefits. Mass spectrometry (MS) is a widely used method that identifies and measures proteins based on their mass-to-charge ratio and their fragmentation pattern. MS can perform the separation of proteins according to their physicochemical characteristics, such as hydrophobicity, charge, and size, in combination with liquid chromatography. Other proteomics techniques include protein arrays, which enable the simultaneous identification of several proteins in a single assay, and two-dimensional gel electrophoresis (2D-DIGE), which divides proteins depending on their isoelectric point and molecular weight. This chapter aims to summarize the most relevant proteomics data from targeted tissues, as well as the daily rhythmic variation of relevant biomarkers in both physiological and pathophysiological conditions within the involved endocrine system, especially because the actual modern lifestyle constantly imposes a chronic unentrained condition, which virtually affects all the circadian clock systems within human's body, being also correlated with innumerous endocrine-metabolic diseases.
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Affiliation(s)
- Rodrigo Antonio Peliciari-Garcia
- Department of Biological Sciences, Morphophysiology and Pathology Sector, Federal University of São Paulo (UNIFESP), Diadema, SP, Brazil.
| | - Carolina Fonseca de Barros
- Department of Physiology and Biophysics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Ayla Secio-Silva
- Department of Physiology and Biophysics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Diogo de Barros Peruchetti
- Department of Physiology and Biophysics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Renata Marino Romano
- Department of Medicine, State University of Central-West (UNICENTRO), Guarapuava, Parana, Brazil
| | - Paula Bargi-Souza
- Department of Physiology and Biophysics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.
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Wu H, Sun Y, Yang J, Gao Z, Shen H, Li M, Wang D, Tang Y. Iron deficiency downregulates ENPEP to promote angiogenesis in liver tumors. J Nutr Biochem 2023; 117:109357. [PMID: 37085059 DOI: 10.1016/j.jnutbio.2023.109357] [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: 11/30/2022] [Revised: 03/31/2023] [Accepted: 04/14/2023] [Indexed: 04/23/2023]
Abstract
The abnormal iron metabolism in liver cancer leads to iron deficiency in tumor tissues. We previously found that iron deficiency promoted liver cancer metastasis, but the mechanisms were not fully understood. In the present study, we identified that the angiogenesis-associated glutamyl aminopeptidase (ENPEP) was consistently decreased in iron-deficient liver tissues, iron-deficient liver tumors, and iron-deprived liver cancer cells. Interestingly, the lower expression of ENPEP was correlated with the poor prognosis of liver cancer patients, while the biomarkers of angiogenesis, CD31 and CD34, were increased in tumor tissues. In vivo imaging of liver-orthotopically implanted and tail vein-injected liver cancer cells showed that iron deficiency increased the pulmonary metastasis of liver cancer. The angiogenesis in iron-deficient tumors was enhanced, and the expression of ENPEP was decreased. Silencing ENPEP expression increased the migration of liver cancer cells and the proliferation of cocultured HUVECs. By sequence analysis, we found that the transcription factor SP1 possessed abundant binding sites in the ENPEP promoter region. Its combination with ENPEP promoters was verified by chromatin immunoprecipitation. The inhibition of SP1 by mithramycin A effectively restored the expression of ENPEP, which was decreased by iron deficiency. In conclusion, these results revealed that iron deficiency in liver tumors decreased the expression of ENPEP by SP1 and increased the angiogenesis and metastasis of liver tumors, which further explained the mechanism by which iron deficiency promoted liver cancer metastasis.
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Affiliation(s)
- Huiwen Wu
- Department of Nutrition, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Sun
- Department of Nutrition, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jianxin Yang
- Department of Nutrition, Second Military Medical University, Shanghai, China
| | - Zelong Gao
- Department of Nutrition, Second Military Medical University, Shanghai, China
| | - Hui Shen
- Department of Nutrition, Second Military Medical University, Shanghai, China
| | - Min Li
- Department of Nutrition, Second Military Medical University, Shanghai, China
| | - Dongyao Wang
- School of Pharmacy, Second Military Medical University, Shanghai, China.
| | - Yuxiao Tang
- Department of Nutrition, Second Military Medical University, Shanghai, China.
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3
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Adua E. Decoding the mechanism of hypertension through multiomics profiling. J Hum Hypertens 2023; 37:253-264. [PMID: 36329155 PMCID: PMC10063442 DOI: 10.1038/s41371-022-00769-8] [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: 12/29/2021] [Revised: 08/24/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
Hypertension, characterised by a constant high blood pressure, is the primary risk factor for multiple cardiovascular events and a major cause of death in adults. Excitingly, innovations in high-throughput technologies have enabled the global exploration of the whole genome (genomics), revealing dysregulated genes that are linked to hypertension. Moreover, post-genomic biomarkers, from the emerging fields of transcriptomics, proteomics, glycomics and lipidomics, have provided new insights into the molecular underpinnings of hypertension. In this paper, we review the pathophysiology of hypertension, and highlight the multi-omics approaches for hypertension prediction and diagnosis.
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Affiliation(s)
- Eric Adua
- School of Clinical Medicine, Medicine & Health, Rural Clinical Campus, University of New South Wales, Wagga Wagga, NSW, Australia.
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
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Ledeganck KJ, Van Eyck A, Wouters K, Vermeiren E, De Winter BY, Verhulst S, Van Hoorenbeeck K, France A, Dotremont H, den Brinker M, Trouet D. Urinary epidermal growth factor reflects vascular health in boys with either obesity or type 1 diabetes. A role for renin, or beyond? PLoS One 2023; 18:e0283716. [PMID: 36996194 PMCID: PMC10062545 DOI: 10.1371/journal.pone.0283716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/15/2023] [Indexed: 04/01/2023] Open
Abstract
An increased blood pressure is a known comorbidity of both type 1 diabetes (T1DM) and obesity in children. Increasing evidence suggests a subtle interplay between epidermal growth factor (EGF) and renin along the juxtaglomerular system, regulating the impact of blood pressure on kidney health and the cardiovascular system. In this study, we investigated the relation between urinary EGF, serum renin and blood pressure in children with obesity or T1DM. 147 non-obese children with T1DM and 126 children with obesity, were included. Blood pressure was measured and mean arterial pressure (MAP) and the pulse pressure (PP) were calculated. Serum renin and urinary EGF levels were determined with a commercial ELISA kit. Partial Spearman rank correlation coefficients and multiple linear regression models were used to study the association between renin, the urinary EGF/urinary creatinine ratio and blood pressure parameters. The urinary EGF/urinary creatinine ratio is correlated with the SBP and the MAP in boys with obesity as well as in boys with T1DM. Multiple regression analysis showed that sex and pulse pressure in male subjects were found to be independently associated with renin. Sex, the presence of diabetes, age, the glomerular filtration rate and both pulse pressure and mean arterial pressure in male subjects were independently associated with urinary EGF/urinary creatinine. In conclusion, in boys with either obesity or diabetes, pulse pressure and mean arterial pressure are negatively associated with the functional integrity of the nephron, which is reflected by a decreased expression of urinary EGF.
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Affiliation(s)
- Kristien J Ledeganck
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
| | - Annelies Van Eyck
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium
| | - Kristien Wouters
- Clinical Trial Center, Clinical Research Center Antwerp, Antwerp University Hospital, University of Antwerp, Edegem, Belgium
| | - Eline Vermeiren
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
| | - Benedicte Y De Winter
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium
| | - Stijn Verhulst
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium
| | - Kim Van Hoorenbeeck
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
- Department of Paediatrics, Antwerp University Hospital, Edegem, Belgium
| | - Annick France
- Department of Paediatric Endocrinology, Antwerp University Hospital, Antwerp, Belgium
| | - Hilde Dotremont
- Department of Paediatric Endocrinology, Antwerp University Hospital, Antwerp, Belgium
| | - Marieke den Brinker
- Department of Paediatric Endocrinology, Antwerp University Hospital, Antwerp, Belgium
| | - Dominique Trouet
- Laboratory of Experimental Medicine and Paediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
- Department of Paediatric Nephrology, Antwerp University Hospital, Antwerp, Belgium
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Huo S, Wang H, Yan M, Xu P, Song T, Li C, Tian R, Chen X, Bao K, Xie Y, Xu P, Zhu W, Liu F, Mao W, Shao C. Urinary Proteomic Characteristics of Hyperuricemia and Their Possible Links with the Occurrence of Its Concomitant Diseases. ACS OMEGA 2021; 6:9500-9508. [PMID: 33869930 PMCID: PMC8047722 DOI: 10.1021/acsomega.0c06229] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/24/2021] [Indexed: 06/12/2023]
Abstract
Hyperuricemia (HUA), a chronic disease caused by metabolic disorders of purine, is often accompanied by other diseases such as gout, type 2 diabetes mellitus (T2DM), and hyperlipidemia. However, little is known about the relationship between HUA and these diseases on the protein level. We performed label-free liquid chromatography MS/MS spectrometry analysis of urine samples from 26 HUA patients and 25 healthy controls, attempting to establish the possible protein links between HUA and these diseases by profiling urine proteome. A total of 2119 proteins were characterized in sample proteomes. Among them, 11 were found decreased and 2 were found increased in HUA samples. Plausible pathways found by enrichment analysis of these differentially expressed proteins (DEPs) include the processes for insulin receptor recycling and lipid metabolism, suggesting potential links between HUA and T2DM and hyperlipidemia. The abundance changes of three key proteins (VATB1, CFAD, and APOC3) involved in these processes were validated by enzyme-linked immunosorbent assay (ELISA). In conclusion, our result provides proteomic evidence, for the first time, that the aberrant pathways enriched by described key DEPs are closely related to the incidence of HUA and its concomitant diseases.
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Affiliation(s)
- Shuai Huo
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Henan Provincial People’s
Hospital, Department of Nephrology of Central China Fuwai Hospital, Zhengzhou, Henan 450003, China
| | - Hongxin Wang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
- Key
Laboratory of Zoological Systematics and Application of Hebei Province,
College of Life Sciences, Hebei University, Baoding 071002, China
| | - Meixia Yan
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
| | - Peng Xu
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Tingting Song
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
| | - Chuang Li
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Ruimin Tian
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Xiaoling Chen
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
| | - Kun Bao
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Ying Xie
- State
Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau (SAR) 999078, China
| | - Ping Xu
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
- Key
Laboratory of Zoological Systematics and Application of Hebei Province,
College of Life Sciences, Hebei University, Baoding 071002, China
| | - Weimin Zhu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
| | - Fengsong Liu
- Key
Laboratory of Zoological Systematics and Application of Hebei Province,
College of Life Sciences, Hebei University, Baoding 071002, China
| | - Wei Mao
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
| | - Chen Shao
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
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