Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker
Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-in...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Krittima Anekthanakul [verfasserIn] Siriphan Manocheewa [verfasserIn] Kittiphan Chienwichai [verfasserIn] Patcha Poungsombat [verfasserIn] Suphitcha Limjiasahapong [verfasserIn] Kwanjeera Wanichthanarak [verfasserIn] Narumol Jariyasopit [verfasserIn] Vivek Bhakta Mathema [verfasserIn] Chutima Kuhakarn [verfasserIn] Vichai Reutrakul [verfasserIn] Jutarop Phetcharaburanin [verfasserIn] Atikorn Panya [verfasserIn] Natthaporn Phonsatta [verfasserIn] Wonnop Visessanguan [verfasserIn] Yotsawat Pomyen [verfasserIn] Yongyut Sirivatanauksorn [verfasserIn] Suchin Worawichawong [verfasserIn] Nuankanya Sathirapongsasuti [verfasserIn] Chagriya Kitiyakara [verfasserIn] Sakda Khoomrung [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: iScience - Elsevier, 2019, 24(2021), 11, Seite 103355- |
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| Übergeordnetes Werk: |
volume:24 ; year:2021 ; number:11 ; pages:103355- |
| Links: |
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| DOI / URN: |
10.1016/j.isci.2021.103355 |
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| Katalog-ID: |
DOAJ067018335 |
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| 520 | |a Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. | ||
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10.1016/j.isci.2021.103355 doi (DE-627)DOAJ067018335 (DE-599)DOAJb6ff70646f9e450cb64fa3de0377b6fc DE-627 ger DE-627 rakwb eng Krittima Anekthanakul verfasserin aut Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. Biopsy sample Body substance sample Metabolomics Science Q Siriphan Manocheewa verfasserin aut Kittiphan Chienwichai verfasserin aut Patcha Poungsombat verfasserin aut Suphitcha Limjiasahapong verfasserin aut Kwanjeera Wanichthanarak verfasserin aut Narumol Jariyasopit verfasserin aut Vivek Bhakta Mathema verfasserin aut Chutima Kuhakarn verfasserin aut Vichai Reutrakul verfasserin aut Jutarop Phetcharaburanin verfasserin aut Atikorn Panya verfasserin aut Natthaporn Phonsatta verfasserin aut Wonnop Visessanguan verfasserin aut Yotsawat Pomyen verfasserin aut Yongyut Sirivatanauksorn verfasserin aut Suchin Worawichawong verfasserin aut Nuankanya Sathirapongsasuti verfasserin aut Chagriya Kitiyakara verfasserin aut Sakda Khoomrung verfasserin aut In iScience Elsevier, 2019 24(2021), 11, Seite 103355- (DE-627)1019532106 25890042 nnns volume:24 year:2021 number:11 pages:103355- https://doi.org/10.1016/j.isci.2021.103355 kostenfrei https://doaj.org/article/b6ff70646f9e450cb64fa3de0377b6fc kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004221013249 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 24 2021 11 103355- |
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10.1016/j.isci.2021.103355 doi (DE-627)DOAJ067018335 (DE-599)DOAJb6ff70646f9e450cb64fa3de0377b6fc DE-627 ger DE-627 rakwb eng Krittima Anekthanakul verfasserin aut Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. Biopsy sample Body substance sample Metabolomics Science Q Siriphan Manocheewa verfasserin aut Kittiphan Chienwichai verfasserin aut Patcha Poungsombat verfasserin aut Suphitcha Limjiasahapong verfasserin aut Kwanjeera Wanichthanarak verfasserin aut Narumol Jariyasopit verfasserin aut Vivek Bhakta Mathema verfasserin aut Chutima Kuhakarn verfasserin aut Vichai Reutrakul verfasserin aut Jutarop Phetcharaburanin verfasserin aut Atikorn Panya verfasserin aut Natthaporn Phonsatta verfasserin aut Wonnop Visessanguan verfasserin aut Yotsawat Pomyen verfasserin aut Yongyut Sirivatanauksorn verfasserin aut Suchin Worawichawong verfasserin aut Nuankanya Sathirapongsasuti verfasserin aut Chagriya Kitiyakara verfasserin aut Sakda Khoomrung verfasserin aut In iScience Elsevier, 2019 24(2021), 11, Seite 103355- (DE-627)1019532106 25890042 nnns volume:24 year:2021 number:11 pages:103355- https://doi.org/10.1016/j.isci.2021.103355 kostenfrei https://doaj.org/article/b6ff70646f9e450cb64fa3de0377b6fc kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004221013249 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 24 2021 11 103355- |
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10.1016/j.isci.2021.103355 doi (DE-627)DOAJ067018335 (DE-599)DOAJb6ff70646f9e450cb64fa3de0377b6fc DE-627 ger DE-627 rakwb eng Krittima Anekthanakul verfasserin aut Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. Biopsy sample Body substance sample Metabolomics Science Q Siriphan Manocheewa verfasserin aut Kittiphan Chienwichai verfasserin aut Patcha Poungsombat verfasserin aut Suphitcha Limjiasahapong verfasserin aut Kwanjeera Wanichthanarak verfasserin aut Narumol Jariyasopit verfasserin aut Vivek Bhakta Mathema verfasserin aut Chutima Kuhakarn verfasserin aut Vichai Reutrakul verfasserin aut Jutarop Phetcharaburanin verfasserin aut Atikorn Panya verfasserin aut Natthaporn Phonsatta verfasserin aut Wonnop Visessanguan verfasserin aut Yotsawat Pomyen verfasserin aut Yongyut Sirivatanauksorn verfasserin aut Suchin Worawichawong verfasserin aut Nuankanya Sathirapongsasuti verfasserin aut Chagriya Kitiyakara verfasserin aut Sakda Khoomrung verfasserin aut In iScience Elsevier, 2019 24(2021), 11, Seite 103355- (DE-627)1019532106 25890042 nnns volume:24 year:2021 number:11 pages:103355- https://doi.org/10.1016/j.isci.2021.103355 kostenfrei https://doaj.org/article/b6ff70646f9e450cb64fa3de0377b6fc kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004221013249 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 24 2021 11 103355- |
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10.1016/j.isci.2021.103355 doi (DE-627)DOAJ067018335 (DE-599)DOAJb6ff70646f9e450cb64fa3de0377b6fc DE-627 ger DE-627 rakwb eng Krittima Anekthanakul verfasserin aut Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. Biopsy sample Body substance sample Metabolomics Science Q Siriphan Manocheewa verfasserin aut Kittiphan Chienwichai verfasserin aut Patcha Poungsombat verfasserin aut Suphitcha Limjiasahapong verfasserin aut Kwanjeera Wanichthanarak verfasserin aut Narumol Jariyasopit verfasserin aut Vivek Bhakta Mathema verfasserin aut Chutima Kuhakarn verfasserin aut Vichai Reutrakul verfasserin aut Jutarop Phetcharaburanin verfasserin aut Atikorn Panya verfasserin aut Natthaporn Phonsatta verfasserin aut Wonnop Visessanguan verfasserin aut Yotsawat Pomyen verfasserin aut Yongyut Sirivatanauksorn verfasserin aut Suchin Worawichawong verfasserin aut Nuankanya Sathirapongsasuti verfasserin aut Chagriya Kitiyakara verfasserin aut Sakda Khoomrung verfasserin aut In iScience Elsevier, 2019 24(2021), 11, Seite 103355- (DE-627)1019532106 25890042 nnns volume:24 year:2021 number:11 pages:103355- https://doi.org/10.1016/j.isci.2021.103355 kostenfrei https://doaj.org/article/b6ff70646f9e450cb64fa3de0377b6fc kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004221013249 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 24 2021 11 103355- |
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10.1016/j.isci.2021.103355 doi (DE-627)DOAJ067018335 (DE-599)DOAJb6ff70646f9e450cb64fa3de0377b6fc DE-627 ger DE-627 rakwb eng Krittima Anekthanakul verfasserin aut Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. Biopsy sample Body substance sample Metabolomics Science Q Siriphan Manocheewa verfasserin aut Kittiphan Chienwichai verfasserin aut Patcha Poungsombat verfasserin aut Suphitcha Limjiasahapong verfasserin aut Kwanjeera Wanichthanarak verfasserin aut Narumol Jariyasopit verfasserin aut Vivek Bhakta Mathema verfasserin aut Chutima Kuhakarn verfasserin aut Vichai Reutrakul verfasserin aut Jutarop Phetcharaburanin verfasserin aut Atikorn Panya verfasserin aut Natthaporn Phonsatta verfasserin aut Wonnop Visessanguan verfasserin aut Yotsawat Pomyen verfasserin aut Yongyut Sirivatanauksorn verfasserin aut Suchin Worawichawong verfasserin aut Nuankanya Sathirapongsasuti verfasserin aut Chagriya Kitiyakara verfasserin aut Sakda Khoomrung verfasserin aut In iScience Elsevier, 2019 24(2021), 11, Seite 103355- (DE-627)1019532106 25890042 nnns volume:24 year:2021 number:11 pages:103355- https://doi.org/10.1016/j.isci.2021.103355 kostenfrei https://doaj.org/article/b6ff70646f9e450cb64fa3de0377b6fc kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004221013249 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 24 2021 11 103355- |
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Krittima Anekthanakul Siriphan Manocheewa Kittiphan Chienwichai Patcha Poungsombat Suphitcha Limjiasahapong Kwanjeera Wanichthanarak Narumol Jariyasopit Vivek Bhakta Mathema Chutima Kuhakarn Vichai Reutrakul Jutarop Phetcharaburanin Atikorn Panya Natthaporn Phonsatta Wonnop Visessanguan Yotsawat Pomyen Yongyut Sirivatanauksorn Suchin Worawichawong Nuankanya Sathirapongsasuti Chagriya Kitiyakara Sakda Khoomrung |
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Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker |
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Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. |
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Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. |
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Summary: The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN. |
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