Urinary proteomics for kidney dysfunction: insights and trends

Wu, Qi; Fenton, Robert A.

doi:10.1080/14789450.2021.1950535

Cited by 4 publications

(3 citation statements)

References 139 publications

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“…Urine is a terminal metabolic product generated through the filtration of blood by the glomeruli, followed by reabsorption, excretion, and secretion by the renal tubules and collecting ducts. Modifications in the composition, quantity, and properties of urine can reflect the overall metabolic state of the body ( 31 ). When compared to serum, urine samples are non-invasive to obtain, convenient to collect, and have a relatively simple protein composition, making them easier to analyze.…”

Section: Discussionmentioning

confidence: 99%

Association of four metalloids in the serum and urine of individuals with major depressive disorders: a case–control study

He,

Li,

Huang

et al. 2024

Front. Psychiatry

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BackgroundMajor depressive disorder (MDD) pathogenesis may involve metalloids in a significant way. The aim of our study was to identify potential links between MDD and metalloid elements [boron (B), germanium (Ge), arsenic (As), antimony (Sb)].MethodsA total of 72 MDD cases and 75 healthy controls (HCs) were recruited from Zhumadian Second People’s Hospital in Henan Province, China. The levels of four metallic elements (B, Ge, As, and Sb) in the serum and urine were measured using inductively coupled plasma mass spectrometry (ICP-MS).ResultsIn comparison to the HCs, the B, As, and Sb levels were considerably lower in the MDD group (p < 0.05) in the serum; the MDD group had significantly higher (p < 0.05) and significantly lower (p < 0.001) B and Sb levels in the urine. After adjusting for potential confounders, serum B (OR = 0.120; 95% CI, 0.048, 0.300; p < 0.001) and Sb (OR = 0.133; 95% CI, 0.055, 0.322; p < 0.001) showed a negative correlation with MDD. Urine B had a negative correlation (OR = 0.393; 95% CI, 0.193, 0.801; p = 0.01) with MDD, while urine Sb had a positive correlation (OR = 3.335; 95% CI, 1.654, 6.726; p = 0.001) with MDD. ConclusionOur current research offers insightful hints for future investigation into the function of metalloids in connection to MDD processes.

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Section: Discussionmentioning

confidence: 99%

Association of four metalloids in the serum and urine of individuals with major depressive disorders: a case–control study

He,

Li,

Huang

et al. 2024

Front. Psychiatry

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“…However, this was a preliminary study and variables such as medication, surgery, patient habits, and renal function that may affect urine samples were not considered. Most of the current urinary proteomic studies are focused on kidney diseases, 91 and clinical studies of urinary proteomics related to COPD are lacking.…”

Section: Proteomics Of Copdmentioning

confidence: 99%

Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review

Fang¹,

Liu²,

Yang³

et al. 2023

COPD

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Chronic obstructive pulmonary disease (COPD) is a common heterogeneous respiratory disease which is characterized by persistent and incompletely reversible airflow limitation. Due to the heterogeneity and phenotypic complexity of COPD, traditional diagnostic methods provide limited information and pose a great challenge to clinical management. In recent years, with the development of omics technologies, proteomics, metabolomics, transcriptomics, etc., have been widely used in the study of COPD, providing great help to discover new biomarkers and elucidate the complex mechanisms of COPD. In this review, we summarize the prognostic biomarkers of COPD based on proteomic studies in recent years and evaluate their association with COPD prognosis. Finally, we present the prospects and challenges of COPD prognostic-related studies. This review is expected to provide cutting-edge evidence in prognostic evaluation of clinical patients with COPD and to inform future proteomic studies on prognostic biomarkers of COPD.

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“…However, based on correlations between nephron mass and uEV excretion and an in silico analysis showing that the majority of uEV proteins link to the kidney, it is generally believed that kidney epithelial cells are the primary source of uEVs [5 ▪ ,6]. Since uEVs and their cargo can be isolated and analyzed noninvasively and repeatedly from the same subject, they are an attractive source of biomarkers both for physiological and clinical purposes [7]…”

Section: Introductionmentioning

confidence: 99%

Urinary extracellular vesicles: does cargo reflect tissue?

Heugten

Hoorn

Fenton

2022

Current Opinion in Nephrology &Amp; Hypertension

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Purpose of reviewTo review recent developments in urinary extracellular vesicles (uEVs) to study kidney physiology and disease. Recent findingsProteomic analysis in rats showed significant correlations between kidney and uEV protein abundances. Consistent with uEV biogenesis, these correlations were stronger for membrane-associated proteins than for e.g. soluble kinases or E3 ubiquitin ligases. When challenged with a high potassium diet, the physiologically predicted protein changes occurred both in kidney and uEVs, suggesting that analysis of uEVs might be utilized as a proxy or even replacement for tissue analysis. Although kidney--uEV correlations are more difficult to obtain in humans, analysis of uEV cargo from patients with inherited tubulopathies or with primary aldosteronism were also consistent with the predicted changes at the tissue level. The kidney appears to be the main source of uEVs, with a recent study showing that nephron mass determines uEV excretion rate. Therefore, a measure of nephron mass should be included for betweensubject comparisons.

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Urinary proteomics for kidney dysfunction: insights and trends

Cited by 4 publications

References 139 publications

Association of four metalloids in the serum and urine of individuals with major depressive disorders: a case–control study

Association of four metalloids in the serum and urine of individuals with major depressive disorders: a case–control study

Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review

Urinary extracellular vesicles: does cargo reflect tissue?

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