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Zhang N, Liao H, Lin Z, Tang Q. Insights into the Role of Glutathione Peroxidase 3 in Non-Neoplastic Diseases. Biomolecules 2024; 14:689. [PMID: 38927092 PMCID: PMC11202029 DOI: 10.3390/biom14060689] [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: 05/07/2024] [Revised: 06/03/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
Reactive oxygen species (ROSs) are byproducts of normal cellular metabolism and play pivotal roles in various physiological processes. Disruptions in the balance between ROS levels and the body's antioxidant defenses can lead to the development of numerous diseases. Glutathione peroxidase 3 (GPX3), a key component of the body's antioxidant system, is an oxidoreductase enzyme. GPX3 mitigates oxidative damage by catalyzing the conversion of hydrogen peroxide into water. Beyond its antioxidant function, GPX3 is vital in regulating metabolism, modulating cell growth, inducing apoptosis and facilitating signal transduction. It also serves as a significant tumor suppressor in various cancers. Recent studies have revealed aberrant expression of GPX3 in several non-neoplastic diseases, associating it with multiple pathological processes. This review synthesizes the current understanding of GPX3 expression and regulation, highlighting its extensive roles in noncancerous diseases. Additionally, this paper evaluates the potential of GPX3 as a diagnostic biomarker and explores emerging therapeutic strategies targeting this enzyme, offering potential avenues for future clinical treatment of non-neoplastic conditions.
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Affiliation(s)
- Nan Zhang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (N.Z.); (H.L.)
- Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan 430060, China
| | - Haihan Liao
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (N.Z.); (H.L.)
- Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan 430060, China
| | - Zheng Lin
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (N.Z.); (H.L.)
- Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan 430060, China
| | - Qizhu Tang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China; (N.Z.); (H.L.)
- Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan 430060, China
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Zhang M, Ye Z, Yuan E, Lv X, Zhang Y, Tan Y, Xia C, Tang J, Huang J, Li Z. Imaging-based deep learning in kidney diseases: recent progress and future prospects. Insights Imaging 2024; 15:50. [PMID: 38360904 PMCID: PMC10869329 DOI: 10.1186/s13244-024-01636-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 01/27/2024] [Indexed: 02/17/2024] Open
Abstract
Kidney diseases result from various causes, which can generally be divided into neoplastic and non-neoplastic diseases. Deep learning based on medical imaging is an established methodology for further data mining and an evolving field of expertise, which provides the possibility for precise management of kidney diseases. Recently, imaging-based deep learning has been widely applied to many clinical scenarios of kidney diseases including organ segmentation, lesion detection, differential diagnosis, surgical planning, and prognosis prediction, which can provide support for disease diagnosis and management. In this review, we will introduce the basic methodology of imaging-based deep learning and its recent clinical applications in neoplastic and non-neoplastic kidney diseases. Additionally, we further discuss its current challenges and future prospects and conclude that achieving data balance, addressing heterogeneity, and managing data size remain challenges for imaging-based deep learning. Meanwhile, the interpretability of algorithms, ethical risks, and barriers of bias assessment are also issues that require consideration in future development. We hope to provide urologists, nephrologists, and radiologists with clear ideas about imaging-based deep learning and reveal its great potential in clinical practice.Critical relevance statement The wide clinical applications of imaging-based deep learning in kidney diseases can help doctors to diagnose, treat, and manage patients with neoplastic or non-neoplastic renal diseases.Key points• Imaging-based deep learning is widely applied to neoplastic and non-neoplastic renal diseases.• Imaging-based deep learning improves the accuracy of the delineation, diagnosis, and evaluation of kidney diseases.• The small dataset, various lesion sizes, and so on are still challenges for deep learning.
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Affiliation(s)
- Meng Zhang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
- Medical Equipment Innovation Research Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
- Med+X Center for Manufacturing, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Zheng Ye
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Enyu Yuan
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Xinyang Lv
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Yiteng Zhang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Yuqi Tan
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Chunchao Xia
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China
| | - Jing Tang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.
| | - Jin Huang
- Medical Equipment Innovation Research Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.
- Med+X Center for Manufacturing, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.
| | - Zhenlin Li
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.
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Zhao Z, Yan Q, Xie J, Liu Z, Liu F, Liu Y, Zhou S, Pan S, Liu D, Duan J, Liu Z. The intervention of cannabinoid receptor in chronic and acute kidney disease animal models: a systematic review and meta-analysis. Diabetol Metab Syndr 2024; 16:45. [PMID: 38360685 PMCID: PMC10870675 DOI: 10.1186/s13098-024-01283-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 02/04/2024] [Indexed: 02/17/2024] Open
Abstract
AIM Cannabinoid receptors are components of the endocannabinoid system that affect various physiological functions. We aim to investigate the effect of cannabinoid receptor modulation on kidney disease. METHODS PubMed, Web of Science databases, and EMBASE were searched. Articles selection, data extraction and quality assessment were independently performed by two investigators. The SYRCLE's RoB tool was used to assess the risk of study bias, and pooled SMD using a random-effect model and 95% CIs were calculated. Subgroup analyses were conducted in preselected subgroups, and publication bias was evaluated. We compared the effects of CB1 and CB2 antagonists and/or knockout and agonists and/or genetic regulation on renal function, blood glucose levels, body weight, and pathological damage-related indicators in different models of chronic and acute kidney injury. RESULTS The blockade or knockout of CB1 could significantly reduce blood urea nitrogen [SMD,- 1.67 (95% CI - 2.27 to - 1.07)], serum creatinine [SMD, - 1.88 (95% CI - 2.91 to - 0.85)], and albuminuria [SMD, - 1.60 (95% CI - 2.16 to - 1.04)] in renal dysfunction animals compared with the control group. The activation of CB2 group could significantly reduce serum creatinine [SMD, - 0.97 (95% CI - 1.83 to - 0.11)] and albuminuria [SMD, - 2.43 (95% CI - 4.63 to - 0.23)] in renal dysfunction animals compared with the control group. CONCLUSIONS The results suggest that targeting cannabinoid receptors, particularly CB1 antagonists and CB2 agonists, can improve kidney function and reduce inflammatory responses, exerting a renal protective effect and maintaining therapeutic potential in various types of kidney disease.
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Affiliation(s)
- Zihao Zhao
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
- Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
| | - Qianqian Yan
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
- Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
| | - Junwei Xie
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
| | - Zhenjie Liu
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
- Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
| | - Fengxun Liu
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
| | - Yong Liu
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
| | - Sijie Zhou
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
| | - Shaokang Pan
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
| | - Dongwei Liu
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China
| | - Jiayu Duan
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China.
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China.
| | - Zhangsuo Liu
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
- Institute of Nephrology, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
- Henan Province Research Center For Kidney Disease, Zhengzhou, 450052, People's Republic of China.
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, 450052, People's Republic of China.
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Wang Q, Fan X, Sheng Q, Yang M, Zhou P, Lu S, Gao Y, Kong Z, Shen N, Lv Z, Wang R. N6-methyladenosine methylation in kidney injury. Clin Epigenetics 2023; 15:170. [PMID: 37865763 PMCID: PMC10590532 DOI: 10.1186/s13148-023-01586-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/11/2023] [Indexed: 10/23/2023] Open
Abstract
Multiple mechanisms are involved in kidney damage, among which the role of epigenetic modifications in the occurrence and development of kidney diseases is constantly being revealed. However, N6-methyladenosine (M6A), a well-known post-transcriptional modification, has been regarded as the most prevalent epigenetic modifications in higher eukaryotic, which is involved in various biological processes of cells such as maintaining the stability of mRNA. The role of M6A modification in the mechanism of kidney damage has attracted widespread attention. In this review, we mainly summarize the role of M6A modification in the progression of kidney diseases from the following aspects: the regulatory pattern of N6-methyladenosine, the critical roles of N6-methyladenosine in chronic kidney disease, acute kidney injury and renal cell carcinoma, and then reveal its potential significance in the diagnosis and treatment of various kidney diseases. A better understanding of this field will be helpful for future research and clinical treatment of kidney diseases.
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Affiliation(s)
- Qimeng Wang
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Xiaoting Fan
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Qinghao Sheng
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Meilin Yang
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Ping Zhou
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Shangwei Lu
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Ying Gao
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Zhijuan Kong
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Ning Shen
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Zhimei Lv
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
| | - Rong Wang
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
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You L, Han Z, Chen H, Chen L, Lin Y, Wang B, Fan Y, Zhang M, Luo J, Peng F, Ma Y, Wang Y, Yuan L, Han Z. The role of N6-methyladenosine (m 6A) in kidney diseases. Front Med (Lausanne) 2023; 10:1247690. [PMID: 37841018 PMCID: PMC10569431 DOI: 10.3389/fmed.2023.1247690] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 09/01/2023] [Indexed: 10/17/2023] Open
Abstract
Chemical modifications are a specific and efficient way to regulate the function of biological macromolecules. Among them, RNA molecules exhibit a variety of modifications that play important regulatory roles in various biological processes. More than 170 modifications have been identified in RNA molecules, among which the most common internal modifications include N6-methyladenine (m6A), n1-methyladenosine (m1A), 5-methylcytosine (m5C), and 7-methylguanine nucleotide (m7G). The most widely affected RNA modification is m6A, whose writers, readers, and erasers all have regulatory effects on RNA localization, splicing, translation, and degradation. These functions, in turn, affect RNA functionality and disease development. RNA modifications, especially m6A, play a unique role in renal cell carcinoma disease. In this manuscript, we will focus on the biological roles of m6A in renal diseases such as acute kidney injury, chronic kidney disease, lupus nephritis, diabetic kidney disease, and renal cancer.
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Affiliation(s)
- Luling You
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhongyu Han
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Haoran Chen
- Science and Education Department, Chengdu Xinhua Hospital, Chengdu, China
| | - Liuyan Chen
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yumeng Lin
- Eye School of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Binjian Wang
- Eye School of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yiyue Fan
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Meiqi Zhang
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ji Luo
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Fang Peng
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yue Ma
- School of Clinical Medicine, Southeast University, Nanjing, China
| | - Yanmei Wang
- Institute of Traditional Chinese Medicine, Sichuan College of Traditional Chinese Medicine (Sichuan Second Hospital of TCM), Chengdu, China
| | - Lan Yuan
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhongyu Han
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Amini Khiabani S, Asgharzadeh M, Samadi Kafil H. Chronic kidney disease and gut microbiota. Heliyon 2023; 9:e18991. [PMID: 37609403 PMCID: PMC10440536 DOI: 10.1016/j.heliyon.2023.e18991] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/25/2023] [Accepted: 08/04/2023] [Indexed: 08/24/2023] Open
Abstract
Chronic kidney disease (CKD) refers to a range of various pathophysiological processes correlated with abnormal renal function and a progressive loss in GFR. Just as dysbiosis and altered pathology of the gut are accompanied with hypertension, which is a significant CKD risk factor. Gut dysbiosis in CKD patients is associated with an elevated levels of uremic toxins, which in turn increases the CKD progression. According to research results, the gut-kidney axis has a role in the formation of kidney stones, also in IgAN. A number of researchers have categorized the gut microbiota as enterotypes, and others, skeptical of theory of enterotypes, have suggested biomarkers to describe taxa that related to lifestyle, nutrition, and disease status. Metabolome-microbiome studies have been used to investigate the interactions of host-gut microbiota in terms of the involvement of metabolites in these interactions and are yielded promising results. The correlation between gut microbiota and CKD requires further multi-omic researches. Also, with regard to systems biology, studies on the communication network of proteins and transporters such as SLC and ABC, can help us achieve a deeper understanding of the gut-liver-kidney axis communication and can thus provide promising new horizons in the treatment of CKD patients. Probiotic-based treatment is an approach to reduce uremic poisoning, which is accomplished by swallowing microbes those can catalyze URS in the gut. If further comprehensive studies are carried out, we will know about the probiotics impact in slowing the renal failure progression and reducing inflammatory markers.
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Affiliation(s)
- Siamak Amini Khiabani
- Research center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Asgharzadeh
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Samadi Kafil
- Drug Applied Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
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Laurindo LF, Barbalho SM, Araújo AC, Guiguer EL, Mondal A, Bachtel G, Bishayee A. Açaí ( Euterpe oleracea Mart.) in Health and Disease: A Critical Review. Nutrients 2023; 15:989. [PMID: 36839349 PMCID: PMC9965320 DOI: 10.3390/nu15040989] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
The açaí palm (Euterpe oleracea Mart.), a species belonging to the Arecaceae family, has been cultivated for thousands of years in tropical Central and South America as a multipurpose dietary plant. The recent introduction of açaí fruit and its nutritional and healing qualities to regions outside its origin has rapidly expanded global demand for açaí berry. The health-promoting and disease-preventing properties of this plant are attributed to numerous bioactive phenolic compounds present in the leaf, pulp, fruit, skin, and seeds. The purpose of this review is to present an up-to-date, comprehensive, and critical evaluation of the health benefits of açaí and its phytochemicals with a special focus on cellular and molecular mechanisms of action. In vitro and in vivo studies showed that açaí possesses antioxidant and anti-inflammatory properties and exerts cardioprotective, gastroprotective, hepatoprotective, neuroprotective, renoprotective, antilipidemic, antidiabetic, and antineoplastic activities. Moreover, clinical trials have suggested that açaí can protect against metabolic stress induced by oxidation, inflammation, vascular abnormalities, and physical exertion. Due to its medicinal properties and the absence of undesirable effects, açaí shows a promising future in health promotion and disease prevention, in addition to a vast economic potential in the food and cosmetic industries.
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Affiliation(s)
- Lucas Fornari Laurindo
- Department of Biochemistry and Pharmacology, School of Medicine, University of Marília, Marília 17525-902, SP, Brazil
- Department of Biochemistry and Pharmacology, School of Medicine, Faculdade de Medicina de Marília, Marília 17519-030, SP, Brazil
| | - Sandra Maria Barbalho
- Department of Biochemistry and Pharmacology, School of Medicine, University of Marília, Marília 17525-902, SP, Brazil
- Postgraduate Program in Structural and Functional Interactions in Rehabilitation, University of Marília, Marília 17525-902, SP, Brazil
- Department of Biochemistry and Nutrition, School of Food and Technology of Marília, Marília 17500-000, SP, Brazil
| | - Adriano Cressoni Araújo
- Department of Biochemistry and Pharmacology, School of Medicine, University of Marília, Marília 17525-902, SP, Brazil
- Postgraduate Program in Structural and Functional Interactions in Rehabilitation, University of Marília, Marília 17525-902, SP, Brazil
| | - Elen Landgraf Guiguer
- Department of Biochemistry and Pharmacology, School of Medicine, University of Marília, Marília 17525-902, SP, Brazil
- Postgraduate Program in Structural and Functional Interactions in Rehabilitation, University of Marília, Marília 17525-902, SP, Brazil
- Department of Biochemistry and Nutrition, School of Food and Technology of Marília, Marília 17500-000, SP, Brazil
| | - Arijit Mondal
- Department of Pharmaceutical Chemistry, M.R. College of Pharmaceutical Sciences and Research, Balisha 743 234, India
| | - Gabrielle Bachtel
- College of Osteopathic Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, FL 34211, USA
| | - Anupam Bishayee
- College of Osteopathic Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, FL 34211, USA
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Zhao T, Zhan D, Qu S, Jiang S, Gan W, Qin W, Zheng C, Cheng F, Lu Y, Liu M, Shi J, Liang H, Wang Y, Qin J, Zen K, Liu Z. Transcriptomics-proteomics Integration reveals alternative polyadenylation driving inflammation-related protein translation in patients with diabetic nephropathy. J Transl Med 2023; 21:86. [PMID: 36747266 PMCID: PMC9900993 DOI: 10.1186/s12967-023-03934-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/26/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Diabetic nephropathy (DN) is a complex disease involving the upregulation of many inflammation-related proteins. Alternative polyadenylation (APA), a crucial post-transcriptional regulatory mechanism, has been proven to play vital roles in many inflammatory diseases. However, it is largely unknown whether and how APA exerts function in DN. METHODS We performed transcriptomics and proteomics analysis of glomeruli samples isolated from 50 biopsy-proven DN patients and 25 control subjects. DaPars and QAPA algorithms were adopted to identify APA events from RNA-seq data. The qRT-PCR analysis was conducted to verify 3'UTR length alteration. Short and long 3'UTRs isoforms were also overexpressed in podocytes under hyperglycemia condition for examining protein expression. RESULTS We detected transcriptome-wide 3'UTR APA events in DN, and found that APA-mediated 3'UTR lengthening of genes (APA genes) increased their expression at protein but not mRNA level. Increased protein level of 3'UTR lengthening gene was validated in podocytes under hyperglycemia condition. Pathway enrichment analysis showed that APA genes were enriched in inflammation-related biological processes including endoplasmic reticulum stress pathways, NF-κB signaling and autophagy. Further bioinformatics analysis demonstrated that 3'UTR APA of genes probably altered the binding sites for RNA-binding proteins, thus enhancing protein translation. CONCLUSION This study revealed for the first time that 3'UTR lengthening of APA genes contributed to the progression of DN by elevating the translation of corresponding proteins, providing new insight and a rich resource for investigating DN mechanisms.
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Affiliation(s)
- Tingting Zhao
- grid.440259.e0000 0001 0115 7868National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002 Jiangsu China
| | - Dongdong Zhan
- grid.419611.a0000 0004 0457 9072State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206 China
| | - Shuang Qu
- grid.41156.370000 0001 2314 964XState Key Laboratory of Pharmaceutical Biotechnology, Nanjing University School of Life Sciences, Nanjing, 210093 Jiangsu China
| | - Song Jiang
- grid.440259.e0000 0001 0115 7868National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002 Jiangsu China
| | - Wenhua Gan
- grid.41156.370000 0001 2314 964XState Key Laboratory of Pharmaceutical Biotechnology, Nanjing University School of Life Sciences, Nanjing, 210093 Jiangsu China
| | - Weisong Qin
- grid.440259.e0000 0001 0115 7868National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002 Jiangsu China
| | - Chunxia Zheng
- grid.440259.e0000 0001 0115 7868National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002 Jiangsu China
| | - Fang Cheng
- grid.419611.a0000 0004 0457 9072State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206 China
| | - Yinghui Lu
- grid.440259.e0000 0001 0115 7868National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002 Jiangsu China
| | - Mingwei Liu
- grid.419611.a0000 0004 0457 9072State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206 China
| | - Jinsong Shi
- grid.440259.e0000 0001 0115 7868National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002 Jiangsu China
| | - Hongwei Liang
- grid.41156.370000 0001 2314 964XState Key Laboratory of Pharmaceutical Biotechnology, Nanjing University School of Life Sciences, Nanjing, 210093 Jiangsu China
| | - Yi Wang
- grid.419611.a0000 0004 0457 9072State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206 China
| | - Jun Qin
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Ke Zen
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University School of Life Sciences, Nanjing, 210093, Jiangsu, China.
| | - Zhihong Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
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9
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Bitzer M, Ju W, Subramanian L, Troost JP, Tychewicz J, Steck B, Wiggins RC, Gipson DS, Gadegbeku CA, Brosius FC, Kretzler M, Pennathur S. The Michigan O'Brien Kidney Research Center: transforming translational kidney research through systems biology. Am J Physiol Renal Physiol 2022; 323:F401-F410. [PMID: 35924446 PMCID: PMC9485002 DOI: 10.1152/ajprenal.00091.2022] [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: 04/08/2022] [Revised: 07/19/2022] [Accepted: 07/28/2022] [Indexed: 11/22/2022] Open
Abstract
Research on kidney diseases is being transformed by the rapid expansion and innovations in omics technologies. The analysis, integration, and interpretation of big data, however, have been an impediment to the growing interest in applying these technologies to understand kidney function and failure. Targeting this urgent need, the University of Michigan O'Brien Kidney Translational Core Center (MKTC) and its Administrative Core established the Applied Systems Biology Core. The Core provides need-based support for the global kidney community centered on enabling incorporation of systems biology approaches by creating web-based, user-friendly analytic and visualization tools, like Nephroseq and Nephrocell, guiding with experimental design, and processing, analysis, and integration of large data sets. The enrichment core supports systems biology education and dissemination through workshops, seminars, and individualized training sessions. Meanwhile, the Pilot and Feasibility Program of the MKTC provides pilot funding to both early-career and established investigators new to the field, to integrate a systems biology approach into their research projects. The relevance and value of the portfolio of training and services offered by MKTC are reflected in the expanding community of young investigators, collaborators, and users accessing resources and engaging in systems biology-based kidney research, thereby motivating MKTC to persevere in its mission to serve the kidney research community by enabling access to state-of-the-art data sets, tools, technologies, expertise, and learning opportunities for transformative basic, translational, and clinical studies that will usher in solutions to improve the lives of people impacted by kidney disease.
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Affiliation(s)
- Markus Bitzer
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Wenjun Ju
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Lalita Subramanian
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Jonathan P Troost
- Division of Pediatric Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
| | - Joseph Tychewicz
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Becky Steck
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Roger C Wiggins
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Debbie S Gipson
- Division of Pediatric Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan
| | - Crystal A Gadegbeku
- Department of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic Health System, Cleveland, Ohio
| | - Frank C Brosius
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
- Division of Nephrology, The University of Arizona College of Medicine Tucson, Tucson, Arizona
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan
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10
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Yaigoub H, Tirichen H, Xin X, Shi S, Wu C, Li R, Li Y. Isolation of Viable Single Cells With High Yield and Purity Using a Small Amount of Human Kidney Tissue Biopsy. Front Cell Dev Biol 2022; 10:822275. [PMID: 35620054 PMCID: PMC9127796 DOI: 10.3389/fcell.2022.822275] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: Establishment of an efficient method of preparing human kidney single cell suspension, using a very small amount of tissue puncture. Methods: Samples of human kidney tissue puncture were cut into pieces, and then 80 μL of the digestive enzyme were added to each punctured tissue to induce enzymatic digestion. The enzyme combination is composed of collagenases, DNase and hyaluronidase and the sample was incubated 20 min at 37°C. The obtained cell suspension was filtered through a 70 μm cell strainer, centrifuged at 300 g for 5 min and the supernatant was removed, then the pellet was resuspended in 3 ml of DMEM (Dulbecco's Modified Eagle's Medium). Cell suspension was sorted and purified by flow sorting to remove dead cells and obtain a cell suspension with higher viability rate. Results: We found that 1) diverse single cells of human kidney can be obtained by the digestive enzyme, as observed under the light microscope, with different sizes, normal cell morphology and good dispersion. 2) (2-3) × 106 single cells can be extracted from one fresh punctured kidney tissue of about 10 mg, with a cell viability rate of more than 80%. Conclusion: In this work we generated a comprehensive and high-resolution single-cell method, which is simple and efficient for preparing single cell suspension from a minimal amount of human kidney tissue. This method can facilitate the study of renal cell biology and the pathogenesis of kidney diseases.
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Affiliation(s)
- Hasnaa Yaigoub
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Hasna Tirichen
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Xiaohong Xin
- Department of Nephrology, The Fifth Hospital (Shanxi Provincial People's Hospital) of Shanxi Medical University, Taiyuan, China.,Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, China
| | - Shuhong Shi
- Core Laboratory, The Fifth Hospital (Shanxi Provincial People's Hospital) of Shanxi Medical University, Taiyuan, China
| | - Changxin Wu
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Rongshan Li
- Department of Nephrology, The Fifth Hospital (Shanxi Provincial People's Hospital) of Shanxi Medical University, Taiyuan, China.,Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, China
| | - Yafeng Li
- Department of Nephrology, The Fifth Hospital (Shanxi Provincial People's Hospital) of Shanxi Medical University, Taiyuan, China.,Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan, China.,Academy of Microbial Ecology, Shanxi Medical University, Taiyuan, China.,Core Laboratory, The Fifth Hospital (Shanxi Provincial People's Hospital) of Shanxi Medical University, Taiyuan, China
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11
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Madhavan M, Mustafa S. Systems biology–the transformative approach to integrate sciences across disciplines. PHYSICAL SCIENCES REVIEWS 2022. [DOI: 10.1515/psr-2021-0102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Life science is the study of living organisms, including bacteria, plants, and animals. Given the importance of biology, chemistry, and bioinformatics, we anticipate that this chapter may contribute to a better understanding of the interdisciplinary connections in life science. Research in applied biological sciences has changed the paradigm of basic and applied research. Biology is the study of life and living organisms, whereas science is a dynamic subject that as a result of constant research, new fields are constantly emerging. Some fields come and go, whereas others develop into new, well-recognized entities. Chemistry is the study of composition of matter and its properties, how the substances merge or separate and also how substances interact with energy. Advances in biology and chemistry provide another means to understand the biological system using many interdisciplinary approaches. Bioinformatics is a multidisciplinary or rather transdisciplinary field that encourages the use of computer tools and methodologies for qualitative and quantitative analysis. There are many instances where two fields, biology and chemistry have intersection. In this chapter, we explain how current knowledge in biology, chemistry, and bioinformatics, as well as its various interdisciplinary domains are merged into life sciences and its applications in biological research.
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Affiliation(s)
- Maya Madhavan
- Department of Biochemistry , Government College for Women , Thiruvananthapuram , Kerala , India
| | - Sabeena Mustafa
- Department of Biostatistics and Bioinformatics , King Abdullah International Medical Research Center (KAIMRC), King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs (MNGHA) , Riyadh , Kingdom of Saudi Arabia
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12
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Glassock RJ. Precision medicine for the treatment of glomerulonephritis: A bold goal but not yet a transformative achievement. Clin Kidney J 2021; 15:657-662. [PMID: 35371458 PMCID: PMC8967540 DOI: 10.1093/ckj/sfab270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Indexed: 11/13/2022] Open
Abstract
Abstract
The revolution in our ability to recognize the alterations in fundamental biology brought about by disease has fostered a renewed interest in precision or personalized medicine (“the right treatment, or diagnostic test, for the right patient at the right time”). This nascent field has been led by oncology, immune-hematology and infectious disease, but nephrology is catching up, and quickly. Specific forms of glomerulonephritis thought to represent specific “diseases” have been “downgraded” to “patterns of injury”. New entities have emerged through application of sophisticated molecular technologies; often embraced by the term “multi-omics”. Kidney biopsies are now interpreted by next generation imaging and machine learning. Many opportunities are manifest that will translate these remarkable developments into novel safe and effective treatment regimens for specific pathogenic pathways evoking glomerulonephritis and its progression to kidney failure. A few successes emboldens a positive look to the future. A sustained and highly collaborative engagement with this new paradigm will be required for this field, full of hope and high expectations, to realize its goal of transforming glomerular therapeutics from “one size fits all (or many)” to a true individualized management principle.
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Affiliation(s)
- Richard J Glassock
- Emeritus Professor, Department of Medicine, Geffen School of Medicine. Los Angeles, CA, USA
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13
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Hallan SI, Øvrehus MA, Bjørneklett R, Aasarød KI, Fogo AB, Ix JH. Hypertensive nephrosclerosis: wider kidney biopsy indications may be needed to improve diagnostics. J Intern Med 2021; 289:69-83. [PMID: 32613703 DOI: 10.1111/joim.13146] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/09/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Hypertensive nephrosclerosis is the presumed underlying cause in many end-stage kidney disease (ESKD) patients, but the diagnosis is disputed and based on clinical criteria with low diagnostic accuracy. OBJECTIVE To evaluate and improve the diagnostic process for nephrosclerosis patients. METHODS We included adults from the population-based HUNT study (n = 50 552), Norwegian CKD patients referred for kidney biopsy 1988-2012 (n = 7261), and unselected nephrology clinic patients (n = 193) used for matching. Decision tree analysis and ROC curve-based methods of optimal cut-offs were used to improve clinical nephrosclerosis criteria. RESULTS Nephrosclerosis prevalence was 2.7% in the general population, and eGFR decline and risk for kidney-related hospital admissions and ESKD were comparable to patients with diabetic kidney disease. In the biopsy cohort, current clinical criteria had very low sensitivity (0.13) but high specificity (0.94) for biopsy-verified arterionephrosclerosis. A new optimized diagnostic algorithm based on proteinuria (<0.75 g d-1 ), systolic blood pressure (>155 mm Hg) and age (>75 years) only marginally improved diagnostic accuracy (sensitivity 0.19, specificity 0.96). Likewise, there were still false-positive cases with treatable diagnoses like glomerulonephritis, interstitial nephritis and others (40% of all test positive). Decision curve analysis showed that the new criteria can lead to higher clinical utility, especially for patients considering the potential harms to be close to the potential benefits, while the more risk-tolerant ones (harm:benefit ratio < 1:4) should consider kidney biopsy. CONCLUSION Further improvements of the current clinical criteria seem difficult, so risks and benefits of kidney biopsy could be more actively discussed with selected patients to reduce misclassification and direct treatment.
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Affiliation(s)
- S I Hallan
- From the, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Nephrology, St Olav Hospital, Trondheim University Hospital, Trondheim, Norway
| | - M A Øvrehus
- From the, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Nephrology, St Olav Hospital, Trondheim University Hospital, Trondheim, Norway
| | - R Bjørneklett
- Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway.,Emergency Care Clinic, Haukeland University Hospital, Bergen, Norway
| | - K I Aasarød
- From the, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Nephrology, St Olav Hospital, Trondheim University Hospital, Trondheim, Norway
| | - A B Fogo
- Division of Renal Pathology, Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - J H Ix
- Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA.,Division of Preventive Medicine, Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA.,Division of Nephrology-Hypertension, University of California San Diego, San Diego, CA, USA
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14
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Raimondo F, Pitto M. Prognostic significance of proteomics and multi-omics studies in renal carcinoma. Expert Rev Proteomics 2020; 17:323-334. [PMID: 32428425 DOI: 10.1080/14789450.2020.1772058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Renal carcinoma, and in particular its most common variant, the clear cell subtype, is often diagnosed incidentally through abdominal imaging and frequently, the tumor is discovered at an early stage. However, 20% to 40% of patients undergoing nephrectomy for clinically localized renal cancer, even after accurate histological and clinical classification, will develop metastasis or recurrence, justifying the associated mortality rate. Therefore, even if renal carcinoma is not among the most frequent nor deadly cancers, a better prognostication is needed. AREAS COVERED Recently proteomics or other omics combinations have been applied to both cancer tissues, on the neoplasia itself and surrounding microenvironment, cultured cells, and biological fluids (so-called liquid biopsy) generating a list of prognostic molecular tools that will be reviewed in the present paper. EXPERT OPINION Although promising, none of the approaches listed above has been yet translated in clinics. This is likely due to the peculiar genetic and phenotypic heterogeneity of this cancer, which makes nearly each tumor different from all the others. Attempts to overcome this issue will be also revised. In particular, we will discuss how the application of omics-integrated approaches could provide the determinants of response to the different targeted drugs.
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Affiliation(s)
- Francesca Raimondo
- Clinical Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano - Bicocca , Vedano al Lambro, Italy
| | - Marina Pitto
- Clinical Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano - Bicocca , Vedano al Lambro, Italy
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