1
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Akinyemi AJ, Du XQ, Aguilan J, Sidoli S, Hirsch D, Wang T, Reznik S, Fuloria M, Charron MJ. Human cord plasma proteomic analysis reveals sexually dimorphic proteins associated with intrauterine growth restriction. Proteomics 2024; 24:e2300260. [PMID: 38059784 DOI: 10.1002/pmic.202300260] [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: 06/22/2023] [Revised: 11/09/2023] [Accepted: 11/15/2023] [Indexed: 12/08/2023]
Abstract
Intrauterine growth restriction (IUGR) is associated with increased risk of cardiometabolic disease later in life and has been shown to affect female and male offspring differently, but the mechanisms remain unclear. The purpose of this study was to identify proteomic differences and metabolic risk markers in IUGR male and female neonates when compared to appropriate for gestational age (AGA) babies that will provide a better understanding of IUGR pathogenesis and its associated risks. Our results revealed alterations in IUGR cord plasma proteomes with most of the differentially abundant proteins implicated in peroxisome pathways. This effect was evident in females but not in males. Furthermore, we observed that catalase activity, a peroxisomal enzyme, was significantly increased in females (p < 0.05) but unchanged in males. Finally, we identified risk proteins associated with obesity, type-2 diabetes, and glucose intolerance such as EGF containing fibulin extracellular matrix protein 1 (EFEMP1), proprotein convertase subtilisin/kexin type 9 (PCSK9) and transforming growth factor beta receptor 3 (TGFBR3) proteins unique to females while coagulation factor IX (C9) and retinol binding protein 4 (RBP4) are unique in males. In conclusion, IUGR may display sexual dimorphism which may be associated with differences in lifelong risk for cardiometabolic disease between males and females.
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Affiliation(s)
| | - Xiu Quan Du
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Jennifer Aguilan
- Department of Pathology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Simone Sidoli
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
| | - David Hirsch
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Tao Wang
- Department of Epidemiology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Sandra Reznik
- Department of Pathology, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Pharmaceutical Sciences, St. John's University College of Pharmacy and Health Sciences, Jamaica, New York, USA
| | - Mamta Fuloria
- Department of Pediatrics, Division of Neonatology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Maureen J Charron
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Medicine, Division of Endocrinology, Norman Fleisher Institute, Albert Einstein College of Medicine, Bronx, New York, USA
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2
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Tuell D, Ford G, Los E, Stone W. The Role of Glutathione and Its Precursors in Type 2 Diabetes. Antioxidants (Basel) 2024; 13:184. [PMID: 38397782 PMCID: PMC10885928 DOI: 10.3390/antiox13020184] [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: 12/13/2023] [Revised: 01/24/2024] [Accepted: 01/31/2024] [Indexed: 02/25/2024] Open
Abstract
Type 2 diabetes (T2D) is a major worldwide health crisis affecting about 6.2% of the world's population. Alarmingly, about one in five children in the USA have prediabetes. Glutathione (GSH) and its precursors play a promising role in the prevention and management of type T2D. Oxidative stress (OxS) is a probable factor in both T2D initiation and progression. GSH is the major cytosolic water-soluble chemical antioxidant and emerging evidence supports its role in improving T2D outcomes. Dietary supplementation with N-acetyl-cysteine (NAC) and/or glycine (GLY), which are GSH precursors, has also been studied for possible beneficial effects on T2D. This review will focus on the underlying pathophysiological and molecular mechanisms linking GSH and its precursors with T2D and OxS. In addition to their traditional antioxidant roles, the in vivo effects of GSH/NAC/GLY supplements will be evaluated for their potential abilities to modulate the complex pro-oxidant pathophysiological factors (e.g., hyperglycemia) driving T2D progression. Positive feedback loops that amplify OxS over long time intervals are likely to result in irreversible T2D micro- and macro-vascular damage. Most clinical studies with GSH/NAC/GLY have focused on adults or the elderly. Future research with pediatric populations should be a high priority since early intervention is critical.
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3
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Jia X, Song E, Liu Y, Chen J, Wan P, Hu Y, Ye D, Chakrabarti S, Mahajan H, George J, Yan S, Yu Y, Zhang G, Wang Y, Yang W, Wu L, Hua S, Lee CH, Li H, Jiang X, Lam KSL, Wang C, Xu A. Identification and multicentric validation of soluble CDCP1 as a robust serological biomarker for risk stratification of NASH in obese Chinese. Cell Rep Med 2023; 4:101257. [PMID: 37918406 PMCID: PMC10694619 DOI: 10.1016/j.xcrm.2023.101257] [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: 05/18/2023] [Revised: 08/15/2023] [Accepted: 10/03/2023] [Indexed: 11/04/2023]
Abstract
The definitive diagnosis of non-alcoholic steatohepatitis (NASH) currently relies on invasive and labor-intensive liver biopsy. Here, we identified soluble CUB domain-containing protein 1 (sCDCP1) as a top-ranked non-invasive biomarker for NASH using Olink-based proteomics in 238 obese individuals with liver biopsies. Both the circulating concentration and hepatic mRNA abundance of sCDCP1 were significantly elevated in patients with NASH and correlated closely with each histological feature of NASH. In the pooled multicenter validation cohort, sCDCP1 as a standalone biomarker achieved an area under the receiver operating characteristic (AUROC) of 0.838 (95% confidence interval [CI] 0.789-0.887) for diagnosing NASH, which is better than those achieved with cytokeratin-18 and other non-invasive tests. Furthermore, the C-DAG model established by the combination of sCDCP1 with diabetes, aspartate aminotransferase (AST), and gender accurately rules in and rules out both NASH and fibrotic NASH (gray zones <20%). Thus, sCDCP1-based non-invasive tests can be potentially implemented for screening and early diagnosis of NASH and for ruling out low-risk individuals to avoid unnecessary liver biopsies.
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Affiliation(s)
- Xi Jia
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Erfei Song
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yan Liu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China
| | - Jiarui Chen
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Pei Wan
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yue Hu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Dewei Ye
- Key Laboratory of Glucolipid Metabolic Diseases of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou, China; Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China
| | - Subrata Chakrabarti
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada; Department of Pathology and Laboratory Medicine, London Health Sciences Centre, London, ON, Canada
| | - Hema Mahajan
- Institute of Clinical Pathology and Medical Research, Pathology West, NSW Health Pathology, Sydney, NSW 2145, Australia; University of Western Sydney, Sydney, NSW, Australia
| | - Jacob George
- Storr Liver Centre, The Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Sen Yan
- Dr. Everett Chalmers Hospital, Fredericton, NB, Canada
| | - Yongtao Yu
- Department of Gastrointestinal Surgery, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Guanghui Zhang
- Department of Gastrointestinal Surgery, Zhengzhou Second Hospital, Zhengzhou, China
| | - Yong Wang
- Department of General Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wah Yang
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Lihong Wu
- Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China
| | - Shuang Hua
- Key Laboratory of Glucolipid Metabolic Diseases of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou, China
| | - Chi Ho Lee
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Huixin Li
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Jiang
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Karen S L Lam
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Cunchuan Wang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Aimin Xu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China; Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China; Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China.
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4
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Elzinga SE, Eid SA, McGregor BA, Jang DG, Hinder LM, Dauch JR, Hayes JM, Zhang H, Guo K, Pennathur S, Kretzler M, Brosius FC, Koubek EJ, Feldman EL, Hur J. Transcriptomic analysis of diabetic kidney disease and neuropathy in mouse models of type 1 and type 2 diabetes. Dis Model Mech 2023; 16:dmm050080. [PMID: 37791586 PMCID: PMC10565109 DOI: 10.1242/dmm.050080] [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: 01/13/2023] [Accepted: 04/26/2023] [Indexed: 10/05/2023] Open
Abstract
Diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN) are common complications of type 1 (T1D) and type 2 (T2D) diabetes. However, the mechanisms underlying pathogenesis of these complications are unclear. In this study, we optimized a streptozotocin-induced db/+ murine model of T1D and compared it to our established db/db T2D mouse model of the same C57BLKS/J background. Glomeruli and sciatic nerve transcriptomic data from T1D and T2D mice were analyzed by self-organizing map and differential gene expression analysis. Consistent with prior literature, pathways related to immune function and inflammation were dysregulated in both complications in T1D and T2D mice. Gene-level analysis identified a high degree of concordance in shared differentially expressed genes (DEGs) in both complications and across diabetes type when using mice from the same cohort and genetic background. As we have previously shown a low concordance of shared DEGs in DPN when using mice from different cohorts and genetic backgrounds, this suggests that genetic background may influence diabetic complications. Collectively, these findings support the role of inflammation and indicate that genetic background is important in complications of both T1D and T2D.
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Affiliation(s)
- Sarah E. Elzinga
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Stephanie A. Eid
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Brett A. McGregor
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58202, USA
| | - Dae-Gyu Jang
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lucy M. Hinder
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - John M. Hayes
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hongyu Zhang
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kai Guo
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Frank C. Brosius
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Medicine, University of Arizona, Tucson, AZ 85721, USA
| | - Emily J. Koubek
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eva L. Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Junguk Hur
- Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND 58202, USA
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5
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Abolbaghaei A, Turner M, Thibodeau JF, Holterman CE, Kennedy CRJ, Burger D. The Proteome of Circulating Large Extracellular Vesicles in Diabetes and Hypertension. Int J Mol Sci 2023; 24:ijms24054930. [PMID: 36902363 PMCID: PMC10003702 DOI: 10.3390/ijms24054930] [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: 11/23/2022] [Revised: 02/14/2023] [Accepted: 02/23/2023] [Indexed: 03/08/2023] Open
Abstract
Hypertension and diabetes induce vascular injury through processes that are not fully understood. Changes in extracellular vesicle (EV) composition could provide novel insights. Here, we examined the protein composition of circulating EVs from hypertensive, diabetic and healthy mice. EVs were isolated from transgenic mice overexpressing human renin in the liver (TtRhRen, hypertensive), OVE26 type 1 diabetic mice and wild-type (WT) mice. Protein content was analyzed using liquid chromatography-mass spectrometry. We identified 544 independent proteins, of which 408 were found in all groups, 34 were exclusive to WT, 16 were exclusive to OVE26 and 5 were exclusive to TTRhRen mice. Amongst the differentially expressed proteins, haptoglobin (HPT) was upregulated and ankyrin-1 (ANK1) was downregulated in OVE26 and TtRhRen mice compared with WT controls. Conversely, TSP4 and Co3A1 were upregulated and SAA4 was downregulated exclusively in diabetic mice; and PPN was upregulated and SPTB1 and SPTA1 were downregulated in hypertensive mice, compared to WT mice. Ingenuity pathway analysis identified enrichment in proteins associated with SNARE signaling, the complement system and NAD homeostasis in EVs from diabetic mice. Conversely, in EVs from hypertensive mice, there was enrichment in semaphroin and Rho signaling. Further analysis of these changes may improve understanding of vascular injury in hypertension and diabetes.
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Affiliation(s)
- Akram Abolbaghaei
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Maddison Turner
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Jean-François Thibodeau
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Chet E. Holterman
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Christopher R. J. Kennedy
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
- Departments of Medicine and Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Dylan Burger
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
- Departments of Medicine and Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
- School of Pharmaceutical Sciences, University of Ottawa, Ottawa, ON K1H 8M5, Canada
- Correspondence: ; Tel.: +1-613-562-5800 (ext. 8241)
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6
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Diaz-Canestro C, Chen J, Liu Y, Han H, Wang Y, Honoré E, Lee CH, Lam KSL, Tse MA, Xu A. A machine-learning algorithm integrating baseline serum proteomic signatures predicts exercise responsiveness in overweight males with prediabetes. Cell Rep Med 2023; 4:100944. [PMID: 36787735 PMCID: PMC9975321 DOI: 10.1016/j.xcrm.2023.100944] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 11/11/2022] [Accepted: 01/20/2023] [Indexed: 02/15/2023]
Abstract
The molecular transducers conferring the benefits of chronic exercise in diabetes prevention remain to be comprehensively investigated. Herein, serum proteomic profiling of 688 inflammatory and metabolic biomarkers in 36 medication-naive overweight and obese men with prediabetes reveals hundreds of exercise-responsive proteins modulated by 12-week high-intensity interval exercise training, including regulators of metabolism, cardiovascular system, inflammation, and apoptosis. Strong associations are found between proteins involved in gastro-intestinal mucosal immunity and metabolic outcomes. Exercise-induced changes in trefoil factor 2 (TFF2) are associated with changes in insulin resistance and fasting insulin, whereas baseline levels of the pancreatic secretory granule membrane major glycoprotein GP2 are related to changes in fasting glucose and glucose tolerance. A hybrid set of 23 proteins including TFF2 are differentially altered in exercise responders and non-responders. Furthermore, a machine-learning algorithm integrating baseline proteomic signatures accurately predicts individualized metabolic responsiveness to exercise training.
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Affiliation(s)
- Candela Diaz-Canestro
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Jiarui Chen
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yan Liu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hao Han
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yao Wang
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Eric Honoré
- Université Côte d'Azur, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Institut de Pharmacologie Moléculaire et Cellulaire, Labex ICST, Valbonne, France
| | - Chi-Ho Lee
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Karen S L Lam
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Michael Andrew Tse
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Centre for Sports and Exercise, The University of Hong Kong, Hong Kong, China.
| | - Aimin Xu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China; Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China.
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7
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Suemanotham N, Phochantachinda S, Chatchaisak D, Sakcamduang W, Chansawhang A, Pitchakarn P, Chantong B. Antidiabetic effects of Andrographis paniculata supplementation on biochemical parameters, inflammatory responses, and oxidative stress in canine diabetes. Front Pharmacol 2023; 14:1077228. [PMID: 36865924 PMCID: PMC9971231 DOI: 10.3389/fphar.2023.1077228] [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: 10/22/2022] [Accepted: 02/02/2023] [Indexed: 02/16/2023] Open
Abstract
Introduction: Diabetes mellitus is a common endocrine disorder that causes hyperglycemia in dogs. Persistent hyperglycemia can induce inflammation and oxidative stress. This study aimed to investigate the effects of A. paniculata (Burm.f.) Nees (Acanthaceae) (A. paniculata) on blood glucose, inflammation, and oxidative stress in canine diabetes. A total of 41 client-owned dogs (23 diabetic and 18 clinically healthy) were included in this double-blind, placebo-controlled trial. Methods: The diabetic dogs were further divided into two treatments protocols: group 1 received A. paniculata extract capsules (50 mg/kg/day; n = 6) or received placebo for 90 days (n = 7); and group 2 received A. paniculata extract capsules (100 mg/kg/day; n = 6) or received a placebo for 180 days (n = 4). Blood and urine samples were collected every month. No significant differences in fasting blood glucose, fructosamine, interleukin-6, tumor necrosis factor-alpha, superoxide dismutase, and malondialdehyde levels were observed between the treatment and placebo groups (p > 0.05). Results and Discussion: The levels of alanine aminotransferase, alkaline phosphatase, blood urea nitrogen, and creatinine were stable in the treatment groups. The blood glucose levels and concentrations of inflammatory and oxidative stress markers in the client-owned diabetic dogs were not altered by A. paniculata supplementation. Furthermore, treatment with this extract did not have any adverse effects on the animals. Non-etheless, the effects of A. paniculata on canine diabetes must be appropriately evaluated using a proteomic approach and involving a wider variety of protein markers.
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Affiliation(s)
- Namphung Suemanotham
- Department of Clinical Sciences and Public Health, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand,Department of pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Sataporn Phochantachinda
- Department of Clinical Sciences and Public Health, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand
| | - Duangthip Chatchaisak
- Department of Clinical Sciences and Public Health, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand
| | - Walasinee Sakcamduang
- Department of Clinical Sciences and Public Health, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand
| | - Anchana Chansawhang
- The Center for Veterinary Diagnosis, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand
| | - Pornsiri Pitchakarn
- Department of Biochemistry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Boonrat Chantong
- Department of Pre-Clinic and Applied Animal Science, Faculty of Veterinary Science, Mahidol University, Nakhon Pathom, Thailand,*Correspondence: Boonrat Chantong,
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8
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Fang H, Greening DW. An Optimized Data-Independent Acquisition Strategy for Comprehensive Analysis of Human Plasma Proteome. Methods Mol Biol 2023; 2628:93-107. [PMID: 36781781 DOI: 10.1007/978-1-0716-2978-9_7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Cartography of the plasma proteome remains technically challenging, primarily due to the abundance and dynamic range of plasma proteins and their concentrations, exceeding ten orders of magnitude, including low-abundant tissue-derived proteins in the pg/mL range. Data-independent acquisition mass spectrometry (DIA-MS) has seen advances in unbiased mass spectrometry-based proteomic analysis of the plasma proteome. Here, we describe a comprehensive proteomic workflow of human plasma from clinically relevant sample (10 μL) that includes anti-protein immunodepletion and highly sensitive sample preparation workflow, with optimized scheduled isolation DIA-MS and deep learning analysis. This approach results in over 960 proteins quantified from a single-shot analysis of broad dynamic range, across 8 orders of magnitude (8.2 ng/L to 0.67 g/L). We further compare data-dependent acquisition (DDA) MS to highlight the advantage in protein quantification and inter-sample variation. These developments have provided streamlined identification of the human plasma proteome, including low-abundant tissue-enriched proteins, and applications toward understanding the plasma proteome.
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Affiliation(s)
- Haoyun Fang
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.,Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia
| | - David W Greening
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. .,Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia. .,Central Clinical School, Monash University, Melbourne, VIC, Australia. .,Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, VIC, Australia.
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9
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Gegner HM, Naake T, Dugourd A, Müller T, Czernilofsky F, Kliewer G, Jäger E, Helm B, Kunze-Rohrbach N, Klingmüller U, Hopf C, Müller-Tidow C, Dietrich S, Saez-Rodriguez J, Huber W, Hell R, Poschet G, Krijgsveld J. Pre-analytical processing of plasma and serum samples for combined proteome and metabolome analysis. Front Mol Biosci 2022; 9:961448. [PMID: 36605986 PMCID: PMC9808085 DOI: 10.3389/fmolb.2022.961448] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 11/28/2022] [Indexed: 01/07/2023] Open
Abstract
Metabolomic and proteomic analyses of human plasma and serum samples harbor the power to advance our understanding of disease biology. Pre-analytical factors may contribute to variability and bias in the detection of analytes, especially when multiple labs are involved, caused by sample handling, processing time, and differing operating procedures. To better understand the impact of pre-analytical factors that are relevant to implementing a unified proteomic and metabolomic approach in a clinical setting, we assessed the influence of temperature, sitting times, and centrifugation speed on the plasma and serum metabolomes and proteomes from six healthy volunteers. We used targeted metabolic profiling (497 metabolites) and data-independent acquisition (DIA) proteomics (572 proteins) on the same samples generated with well-defined pre-analytical conditions to evaluate criteria for pre-analytical SOPs for plasma and serum samples. Time and temperature showed the strongest influence on the integrity of plasma and serum proteome and metabolome. While rapid handling and low temperatures (4°C) are imperative for metabolic profiling, the analyzed proteomics data set showed variability when exposed to temperatures of 4°C for more than 2 h, highlighting the need for compromises in a combined analysis. We formalized a quality control scoring system to objectively rate sample stability and tested this score using external data sets from other pre-analytical studies. Stringent and harmonized standard operating procedures (SOPs) are required for pre-analytical sample handling when combining proteomics and metabolomics of clinical samples to yield robust and interpretable data on a longitudinal scale and across different clinics. To ensure an adequate level of practicability in a clinical routine for metabolomics and proteomics studies, we suggest keeping blood samples up to 2 h on ice (4°C) prior to snap-freezing as a compromise between stability and operability. Finally, we provide the methodology as an open-source R package allowing the systematic scoring of proteomics and metabolomics data sets to assess the stability of plasma and serum samples.
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Affiliation(s)
- Hagen M. Gegner
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, University of Heidelberg, Heidelberg, Germany
| | - Thomas Naake
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Aurélien Dugourd
- Bioquant, Faculty of Medicine, Institute for Computational Biomedicine, University of Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Torsten Müller
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany,Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Felix Czernilofsky
- Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | - Georg Kliewer
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany,Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Evelyn Jäger
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Barbara Helm
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nina Kunze-Rohrbach
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, University of Heidelberg, Heidelberg, Germany
| | - Ursula Klingmüller
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Carsten Müller-Tidow
- Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | - Sascha Dietrich
- Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | - Julio Saez-Rodriguez
- Bioquant, Faculty of Medicine, Institute for Computational Biomedicine, University of Heidelberg and Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Huber
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Rüdiger Hell
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, University of Heidelberg, Heidelberg, Germany
| | - Gernot Poschet
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, University of Heidelberg, Heidelberg, Germany,*Correspondence: Jeroen Krijgsveld, ; Gernot Poschet,
| | - Jeroen Krijgsveld
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany,Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany,*Correspondence: Jeroen Krijgsveld, ; Gernot Poschet,
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10
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Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms. EBioMedicine 2021; 74:103723. [PMID: 34844191 PMCID: PMC8626206 DOI: 10.1016/j.ebiom.2021.103723] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 11/04/2021] [Accepted: 11/16/2021] [Indexed: 12/15/2022] Open
Abstract
Background COVID-19 has caused millions of deaths globally, yet the cellular mechanisms underlying the various effects of the disease remain poorly understood. Recently, a new analytical platform for comprehensive analysis of plasma protein profiles using proximity extension assays combined with next generation sequencing has been developed, which allows for multiple proteins to be analyzed simultaneously without sacrifice on accuracy or sensitivity. Methods We analyzed the plasma protein profiles of COVID-19 patients (n = 50) with mild and moderate symptoms by comparing the protein levels in newly diagnosed patients with the protein levels in the same individuals after 14 days. Findings The study has identified more than 200 proteins that are significantly elevated during infection and many of these are related to cytokine response and other immune-related functions. In addition, several other proteins are shown to be elevated, including SCARB2, a host cell receptor protein involved in virus entry. A comparison with the plasma protein response in patients with severe symptoms shows a highly similar pattern, but with some interesting differences. Interpretation The study presented here demonstrates the usefulness of “next generation plasma protein profiling” to identify molecular signatures of importance for disease progression and to allow monitoring of disease during recovery from the infection. The results will facilitate further studies to understand the molecular mechanism of the immune-related response of the SARS-CoV-2 virus. Funding This work was financially supported by Knut and Alice Wallenberg Foundation.
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11
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Cvetko A, Mangino M, Tijardović M, Kifer D, Falchi M, Keser T, Perola M, Spector TD, Lauc G, Menni C, Gornik O. Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches. BMJ Open Diabetes Res Care 2021; 9:9/1/e002263. [PMID: 34518155 PMCID: PMC8438737 DOI: 10.1136/bmjdrc-2021-002263] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 08/22/2021] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Prediction of type 2 diabetes mellitus (T2DM) and its preceding factors, such as insulin resistance (IR), is of great importance as it may allow delay or prevention of onset of the disease. Plasma protein N-glycome has emerged as a promising predictive biomarker. In a prospective longitudinal study, we included patients with a first diagnosis of impaired glucose metabolism (IR or T2DM) to investigate the N-glycosylation's predictive value years before diabetes development. RESEARCH DESIGN AND METHODS Plasma protein N-glycome was profiled by hydrophilic interaction ultra-performance liquid chromatography in 534 TwinsUK participants free from disease at baseline. This included 89 participants with incident diagnosis of IR or T2DM during the follow-up period (7.14±3.04 years) whose last sample prior to diagnosis was compared using general linear regression with 445 age-matched unrelated controls. Findings were replicated in an independent cohort. Changes in N-glycome have also been presented in connection with time to diagnosis. RESULTS Eight groups of plasma N-glycans were different between incident IR or T2DM cases and controls (p<0.05) after adjusting for multiple testing using Benjamini-Hochberg correction. These differences were noticeable up to 10 years prior to diagnosis and are changing continuously as becoming more expressed toward the diagnosis. The prediction model was built using significant glycan traits, displaying a discriminative performance with an area under the receiver operating characteristic curve of 0.77. CONCLUSIONS In addition to previous studies, we showed the diagnostic potential of plasma N-glycome in the prediction of both IR and T2DM development years before the clinical manifestation and indicated the continuous deterioration of N-glycome toward the diagnosis.
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Affiliation(s)
- Ana Cvetko
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, UK
| | - Marko Tijardović
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Domagoj Kifer
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Toma Keser
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, Finland
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Gordan Lauc
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Olga Gornik
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
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12
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Lira-Junior R, Boström EA, Gustafsson A. Periodontitis is associated to increased systemic inflammation in postmyocardial infarction patients. Open Heart 2021; 8:openhrt-2021-001674. [PMID: 34385358 PMCID: PMC8362710 DOI: 10.1136/openhrt-2021-001674] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/13/2021] [Indexed: 12/02/2022] Open
Abstract
Objective Periodontitis has been independently associated to cardiovascular disease. However, the biological mechanisms underlying such association are still partially unknown. Thus, this study aimed to discover immunological clues accounting for the increased risk of myocardial infarction (MI) in patients having periodontitis. Methods We included 100 patients with a first MI, 50 with and 50 without severe periodontitis, and 100 age-matched, sex-matched and area-matched controls from the Periodontitis and Its Relation to Coronary Artery Disease Study. Participants underwent comprehensive clinical and laboratory examinations 6–10 weeks after the MI and plasma expression of 92 inflammation-related markers was assessed through proximity extension assay. Results Patients who had an MI displayed altered expression of CCL19, TNFRSF9 and LAP TGF-β1 in comparison with controls. TNFRSF9 correlated significantly with the amount of alveolar bone loss. MI patients with deep periodontal pockets showed increased white cell count and higher expression of FGF-21, HGF, OSM, CCL20 and IL-18R1 than patients without. White cell count correlated significantly with four of these proteins. Conclusions Collectively, our results indicate molecular markers that could be responsible for the increased systemic inflammatory activity in patients with MI with periodontitis.
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Affiliation(s)
| | | | - Anders Gustafsson
- Department of Dental Medicine, Karolinska Institutet, Huddinge, Sweden
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13
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Zhong W, Edfors F, Gummesson A, Bergström G, Fagerberg L, Uhlén M. Next generation plasma proteome profiling to monitor health and disease. Nat Commun 2021; 12:2493. [PMID: 33941778 PMCID: PMC8093230 DOI: 10.1038/s41467-021-22767-z] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 03/09/2021] [Indexed: 12/24/2022] Open
Abstract
The need for precision medicine approaches to monitor health and disease makes it important to develop sensitive and accurate assays for proteome profiles in blood. Here, we describe an approach for plasma profiling based on proximity extension assay combined with next generation sequencing. First, we analyze the variability of plasma profiles between and within healthy individuals in a longitudinal wellness study, including the influence of genetic variations on plasma levels. Second, we follow patients newly diagnosed with type 2 diabetes before and during therapeutic intervention using plasma proteome profiling. The studies show that healthy individuals have a unique and stable proteome profile and indicate that a panel of proteins could potentially be used for early diagnosis of diabetes, including stratification of patients with regards to response to metformin treatment. Although validation in larger cohorts is needed, the analysis demonstrates the usefulness of comprehensive plasma profiling for precision medicine efforts.
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Affiliation(s)
- Wen Zhong
- Science for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Edfors
- Science for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anders Gummesson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.,Region Västra Götaland, Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.,Region Västra Götaland, Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Linn Fagerberg
- Science for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Mathias Uhlén
- Science for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden. .,Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
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