Literature DB >> 26472227

Physiological conditions can be reflected in human urine proteome and metabolome.

Jianqiang Wu1, Youhe Gao1,2.   

Abstract

Biomarkers are the measurable changes associated with physiological or pathophysiological processes. Urine, unlike blood, lacks mechanisms for maintaining homeostasis: it is therefore an ideal source of biomarkers that can reflect systemic changes. Urinary proteome and metabolome have been studied for their diagnostic capabilities, ability to monitor disease and prognostic utility. In this review, the effects of common physiological conditions such as gender, age, diet, daily rhythms, exercise, hormone status, lifestyle and extreme environments on human urine are discussed. These effects should be considered when biomarker studies of diseases are conducted. More importantly, if physiological changes can be reflected in urine, we have reason to expect that urine will become widely used to detect small and early changes in pathological and/or pharmacological conditions.

Entities:  

Keywords:  biomarker; metabolomics; physiological conditions; proteomics; urine

Mesh:

Substances:

Year:  2015        PMID: 26472227     DOI: 10.1586/14789450.2015.1094380

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  44 in total

1.  Urinary Urea, Uric Acid and Hippuric Acid as Potential Biomarkers in Multiple Sclerosis Patients.

Authors:  Hanaa B Atya; Sahar A Ali; Mohamed I Hegazy; Fathia Z El Sharkawi
Journal:  Indian J Clin Biochem       Date:  2017-05-22

2.  Alterations in neuronal metabolism contribute to the pathogenesis of prion disease.

Authors:  Julie-Myrtille Bourgognon; Jereme G Spiers; Hannah Scheiblich; Alexey Antonov; Sophie J Bradley; Andrew B Tobin; Joern R Steinert
Journal:  Cell Death Differ       Date:  2018-06-18       Impact factor: 15.828

Review 3.  Current state of the art for enhancing urine biomarker discovery.

Authors:  Michael Harpole; Justin Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2016-06       Impact factor: 3.940

Review 4.  A review of metabolomics approaches and their application in identifying causal pathways of childhood asthma.

Authors:  Kedir N Turi; Lindsey Romick-Rosendale; Kelli K Ryckman; Tina V Hartert
Journal:  J Allergy Clin Immunol       Date:  2017-05-04       Impact factor: 10.793

Review 5.  The role of macromolecules in the formation of kidney stones.

Authors:  Jeffrey D Rimer; Ann M Kolbach-Mandel; Michael D Ward; Jeffrey A Wesson
Journal:  Urolithiasis       Date:  2016-12-02       Impact factor: 3.436

6.  Identification of 22 novel loci associated with urinary biomarkers of albumin, sodium, and potassium excretion.

Authors:  Daniela Zanetti; Abhiram Rao; Stefan Gustafsson; Themistocles L Assimes; Stephen B Montgomery; Erik Ingelsson
Journal:  Kidney Int       Date:  2019-03-12       Impact factor: 10.612

Review 7.  Current applications of artificial intelligence combined with urine detection in disease diagnosis and treatment.

Authors:  Jun Tan; Feng Qin; Jiuhong Yuan
Journal:  Transl Androl Urol       Date:  2021-04

Review 8.  Urinary Biomarkers of Brain Diseases.

Authors:  Manxia An; Youhe Gao
Journal:  Genomics Proteomics Bioinformatics       Date:  2016-01-02       Impact factor: 7.691

Review 9.  Pursuing Multiple Biomarkers for Early Idiopathic Parkinson's Disease Diagnosis.

Authors:  Yareth Gopar-Cuevas; Ana P Duarte-Jurado; Rosa N Diaz-Perez; Odila Saucedo-Cardenas; Maria J Loera-Arias; Roberto Montes-de-Oca-Luna; Humberto Rodriguez-Rocha; Aracely Garcia-Garcia
Journal:  Mol Neurobiol       Date:  2021-08-05       Impact factor: 5.590

10.  Potential urinary aging markers of 20-month-old rats.

Authors:  Xundou Li; Youhe Gao
Journal:  PeerJ       Date:  2016-06-07       Impact factor: 2.984

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