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- Publisher Website: 10.1016/j.cca.2014.05.014
- Scopus: eid_2-s2.0-84904677366
- PMID: 24909875
- WOS: WOS:000341463100035
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Article: NMR-based metabolomic urinalysis: A rapid screening test for urinary tract infection
Title | NMR-based metabolomic urinalysis: A rapid screening test for urinary tract infection |
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Authors | |
Keywords | Acetic acid Bacteriuria NMR-based urinalysis Trimethylamine Urinary tract infection |
Issue Date | 2014 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/cca |
Citation | Clinica Chimica Acta, 2014, v. 436, p. 217–223 How to Cite? |
Abstract | Background: Urinary tract infection (UTI) is one of the most common bacterial infections in humans; however, there is no accurate and fast quantitative test to detect UTI. Dipstick urinalysis is semi-quantitative with a limited diagnostic accuracy, while urine culture is accurate but takes time. We described a quantitative biochemical method for the diagnosis of bacteriuria using a single marker. Methods: We compared the urine metabolomes from 88 patients with bacterial UTI and 61 controls using 1H NMR spectroscopy followed by principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). The biomarker identified was subsequently validated using independent samples. Results: The urine acetic acid/creatinine (mmol/mmol) level was determined to be the most discriminatory marker for bacterial UTI with an area-under-receiver operating characteristic curve. =. 0.97, sensitivity. =. 91% and specificity. =. 95% at the optimal cutoff 0.03. mmol/mmol. For validation, 60 samples were recruited prospectively. Using the optimal cutoff for acetic acid/creatinine, this method showed sensitivity. =. 96%, specificity. =. 94%, positive predictive value. =. 92%, negative predictive value. =. 97% and an overall accuracy. =. 95%. The diagnostic performance was superior to dipstick urinalysis or microscopy. In addition, we also observed an increase of urinary trimethylamine (TMA) in patients with Escherichia coli-associated UTI. TMA is a mammalian-microbial co-metabolite and the high level of TMA generated is related to the bacterial enzyme, trimethylamine N-oxide (TMAO) reductase which reduces TMAO to TMA. Conclusions: Urine acetic acid is a neglected metabolite that can be used for rapid diagnosis of UTI and TMA can be used for etiologic diagnosis of UTI. With the introduction of NMR-based clinical analyzers to clinical laboratories, NMR-based urinalysis can be translated for clinical use. © 2014 Elsevier B.V. |
Persistent Identifier | http://hdl.handle.net/10722/200725 |
ISSN | 2023 Impact Factor: 3.2 2023 SCImago Journal Rankings: 1.016 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lam, CW | - |
dc.contributor.author | Law, CY | - |
dc.contributor.author | To, KKW | - |
dc.contributor.author | Cheung, SKK | - |
dc.contributor.author | Lee, KC | - |
dc.contributor.author | Sze, KH | - |
dc.contributor.author | Leung, KF | - |
dc.contributor.author | Yuen, KY | - |
dc.date.accessioned | 2014-08-21T06:58:00Z | - |
dc.date.available | 2014-08-21T06:58:00Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Clinica Chimica Acta, 2014, v. 436, p. 217–223 | - |
dc.identifier.issn | 0009-8981 | - |
dc.identifier.uri | http://hdl.handle.net/10722/200725 | - |
dc.description.abstract | Background: Urinary tract infection (UTI) is one of the most common bacterial infections in humans; however, there is no accurate and fast quantitative test to detect UTI. Dipstick urinalysis is semi-quantitative with a limited diagnostic accuracy, while urine culture is accurate but takes time. We described a quantitative biochemical method for the diagnosis of bacteriuria using a single marker. Methods: We compared the urine metabolomes from 88 patients with bacterial UTI and 61 controls using 1H NMR spectroscopy followed by principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). The biomarker identified was subsequently validated using independent samples. Results: The urine acetic acid/creatinine (mmol/mmol) level was determined to be the most discriminatory marker for bacterial UTI with an area-under-receiver operating characteristic curve. =. 0.97, sensitivity. =. 91% and specificity. =. 95% at the optimal cutoff 0.03. mmol/mmol. For validation, 60 samples were recruited prospectively. Using the optimal cutoff for acetic acid/creatinine, this method showed sensitivity. =. 96%, specificity. =. 94%, positive predictive value. =. 92%, negative predictive value. =. 97% and an overall accuracy. =. 95%. The diagnostic performance was superior to dipstick urinalysis or microscopy. In addition, we also observed an increase of urinary trimethylamine (TMA) in patients with Escherichia coli-associated UTI. TMA is a mammalian-microbial co-metabolite and the high level of TMA generated is related to the bacterial enzyme, trimethylamine N-oxide (TMAO) reductase which reduces TMAO to TMA. Conclusions: Urine acetic acid is a neglected metabolite that can be used for rapid diagnosis of UTI and TMA can be used for etiologic diagnosis of UTI. With the introduction of NMR-based clinical analyzers to clinical laboratories, NMR-based urinalysis can be translated for clinical use. © 2014 Elsevier B.V. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/cca | - |
dc.relation.ispartof | Clinica Chimica Acta | - |
dc.subject | Acetic acid | - |
dc.subject | Bacteriuria | - |
dc.subject | NMR-based urinalysis | - |
dc.subject | Trimethylamine | - |
dc.subject | Urinary tract infection | - |
dc.title | NMR-based metabolomic urinalysis: A rapid screening test for urinary tract infection | - |
dc.type | Article | - |
dc.identifier.email | Lam, CW: ching-wanlam@pathology.hku.hk | - |
dc.identifier.email | Law, CY: ericlaw@pathology.hku.hk | - |
dc.identifier.email | To, KKW: kelvinto@hkucc.hku.hk | - |
dc.identifier.email | Cheung, SKK: skkc2011@hku.hk | - |
dc.identifier.email | Lee, KC: lee1983@hku.hk | - |
dc.identifier.email | Sze, KH: khsze@hku.hk | - |
dc.identifier.email | Leung, KF: orion45@hkusua.hku.hk | - |
dc.identifier.email | Yuen, KY: kyyuen@hkucc.hku.hk | - |
dc.identifier.authority | Lam, CW=rp00260 | - |
dc.identifier.authority | Law, CY=rp01586 | - |
dc.identifier.authority | To, KKW=rp01384 | - |
dc.identifier.authority | Sze, KH=rp00785 | - |
dc.identifier.authority | Yuen, KY=rp00366 | - |
dc.identifier.doi | 10.1016/j.cca.2014.05.014 | - |
dc.identifier.pmid | 24909875 | - |
dc.identifier.scopus | eid_2-s2.0-84904677366 | - |
dc.identifier.hkuros | 232316 | - |
dc.identifier.volume | 436 | - |
dc.identifier.spage | 217–223 | - |
dc.identifier.epage | 217–223 | - |
dc.identifier.isi | WOS:000341463100035 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0009-8981 | - |