Proteomics of Diabetes, Obesity, and Related Disorders

Moulder, Robert; Schvartz, Domitille; Dayon, Loı̈c

doi:10.1002/prca.201600134

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…Consequently, strategies for streamlining, automation, and integration of these methods have been developed for high-throughput 51,61 and clinical proteomics. 62 Computational analysis of protein expression 63 typically deploys standard methods (e.g. heat maps, correlation analysis) but recent advances in deep learning methods 64 that extract representations from high-dimensional data are increasingly used for predicting retention times, MS/MS spectra, post-translational modifications (PTMs), and peptide sequencing.…”

Section: Mass Spectrometry In Nutrition and Healthmentioning

confidence: 99%

Mass spectrometry as a lens into molecular human nutrition and health

Kussmann

2023

Eur J Mass Spectrom (Chichester)

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Mass spectrometry (MS) has developed over the last decades into the most informative and versatile analytical technology in molecular and structural biology (). The platform enables discovery, identification, and characterisation of non-volatile biomolecules, such as proteins, peptides, DNA, RNA, nutrients, metabolites, and lipids at both speed and scale and can elucidate their interactions and effects. The versatility, robustness, and throughput have rendered MS a major research and development platform in molecular human health and biomedical science. More recently, MS has also been established as the central tool for ‘Molecular Nutrition’, enabling comprehensive and rapid identification and characterisation of macro- and micronutrients, bioactives, and other food compounds. ‘Molecular Nutrition’ thereby helps understand bioaccessibility, bioavailability, and bioefficacy of macro- and micronutrients and related health effects. Hence, MS provides a lens through which the fate of nutrients can be monitored along digestion via absorption to metabolism. This in turn provides the bioanalytical foundation for ‘Personalised Nutrition’ or ‘Precision Nutrition’ in which design and development of diets and nutritional products is tailored towards consumer and patient groups sharing similar genetic and environmental predisposition, health/disease conditions and lifestyles, and/or objectives of performance and wellbeing. The next level of integrated nutrition science is now being built as ‘Systems Nutrition’ where public and personal health data are correlated with life condition and lifestyle factors, to establish directional relationships between nutrition, lifestyle, environment, and health, eventually translating into science-based public and personal heath recommendations and actions. This account provides a condensed summary of the contributions of MS to a precise, quantitative, and comprehensive nutrition and health science and sketches an outlook on its future role in this fascinating and relevant field.

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Section: Mass Spectrometry In Nutrition and Healthmentioning

confidence: 99%

Mass spectrometry as a lens into molecular human nutrition and health

Kussmann

2023

Eur J Mass Spectrom (Chichester)

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“…12 The recent advancements in proteomics have become indispensable for diagnosing and understanding metabolic diseases like diabetes and obesity, while also significantly impacting pharmaceutical development. [13][14][15] Enteroendocrine L-cells in the ileum primarily secrete glucagon-like peptide 1 (GLP-1) in response to food consumption. 16 GLP-1 exerts its effects by interacting with the GLP-1 receptor (GLP-1R), which shows widespread expression across various tissues, especially in the lung.…”

Section: Introductionmentioning

confidence: 99%

Effect of Semaglutide and Empagliflozin on Pulmonary Structure and Proteomics in Obese Mice

Yang,

Pan,

Chen

2024

DMSO

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This study utilized proteomics to investigate changes in protein expression associated with lung health in obese mice exposed to semaglutide and empagliflozin through a high-fat diet. Methods: Twenty-eight male C57BL/6JC mice were randomly assigned to two groups: a control diet group (n = 7) and a high-fat diet group (n = 21). The HFD group was further divided into three groups: HFD group (n = 7), Sema group (n = 7), and Empa group (n = 7). Post-treatment, mice underwent assessments including glucose tolerance, lipids, oxidative stress markers, body weight, lung weight, and structure. Proteomics identified differentially expressed proteins (DEPs) in lung tissue, and bioinformatics analyzed the biological processes and functions of these proteins. Results: Semaglutide and empagliflozin significantly attenuated obesity-induced hyperglycemia, abnormal lipid metabolism, oxidative stress response, and can decrease alveolar wall thickness, enlarge alveolar lumen, and reduce collagen content in lung tissue. Both medications also attenuated lung elastic fibre cracking and disintegration. In the HFD/NCD group, there were 66 DEPs, comprising 30 proteins that were increased and 36 that were decreased. Twenty-three DEPs overlapped between Sema/HFD and Empa/HFD, with 11 up-regulated and 12 down-regulated simultaneously. After analysing DEPs in different groups, four proteins -LYVE1, BRAF, RGCC, and CHMP5 -were all downregulated in the HFD group and upregulated by semaglutide and empagliflozin treatment. Conclusion:This study demonstrates that obesity induced by a high-fat diet causes a reduction in the expression of LYVE1, BRAF, RGCC, and CHMP5 proteins, potentially affecting lung function and structure in mice. Significantly, the administration of semaglutide and empagliflozin elevates the levels of these proteins, potentially offering therapeutic benefits against lung injury caused by obesity. Merging semaglutide with empagliflozin may exert a more pronounced impact.

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“… 15 Due to the strong development of proteomics in recent years, proteomics is critical for the diagnosis and mechanism of several metabolic illnesses, such as MetS, diabetes, and obesity. 16 , 17 It also has a significant impact on medication development. 18 This study employed proteomics techniques to investigate the effects of a high-fat diet and semaglutide intervention on mouse cardiac protein expression in an obese mice model.…”

Section: Introductionmentioning

confidence: 99%

Effects of Semaglutide on Cardiac Protein Expression and Cardiac Function of Obese Mice

Pan¹,

Yue²,

Ban³

et al. 2022

JIR

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Using proteomics to study the effect of semaglutide on cardiac protein expression in obese mice. Assessment of the effect of semaglutide on cardiac function in obese mice. Materials and Methods:The mice were randomly divided into three groups: the control group (WC), the high-fat group (WF), and the high-fat diet with semaglutide intervention group (WS). Serum samples were collected, and lipids, blood glucose, inflammatory and oxidative stress markers, and cardiac ultrasound, were examined. The cardiac weight of each group of mice was measured, and pathological alterations were examined. Inflammation and oxidative stress levels in heart tissue were evaluated. The labeling coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) platform was used to find differentially expressed proteins (DEPs) and screen for related pathways and key proteins in a proteomics study. Results: Semaglutide greatly alleviated obesity-induced lipid metabolism abnormalities, improved cardiac ventricular wall thickening, and significantly reduced myocardial collagen content in obese mice. Semaglutide significantly reduces obesity-induced inflammation and oxidative stress. There were 64 DEPs in the WF/WC group, with 39 upregulated proteins and 25 downregulated proteins. The WS/ WC group, on the other hand, had 83 DEPs, including 57 upregulated and 26 downregulated proteins. Following functional analysis, DEPs were shown to be largely associated with lipid metabolism and peroxisomes. Apolipoprotein A-II, catalase, diazepam-binding inhibitor, paraoxonase-1, and hydroxysteroid 17-dehydrogenase-4 were all upregulated in the WF group but significantly downregulated in the WS group. A high-fat diet increases the expression of lipid synthesis and transport proteins while increasing inflammation and oxidative stress damage. Conclusion: Semaglutide decreases lipid synthesis alleviates inflammation and oxidative stress and prevents lipid peroxidation and cardiac impairment.

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Proteomics of Diabetes, Obesity, and Related Disorders

Cited by 11 publications

References 6 publications

Mass spectrometry as a lens into molecular human nutrition and health

Mass spectrometry as a lens into molecular human nutrition and health

Effect of Semaglutide and Empagliflozin on Pulmonary Structure and Proteomics in Obese Mice

Effects of Semaglutide on Cardiac Protein Expression and Cardiac Function of Obese Mice

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