Oxidative stress and metabolic biomarkers in patients with Psoriasis

Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psori...
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Autor*in:	Bakić Mirjana [verfasserIn] Klisić Aleksandra [verfasserIn] Kocić Gordana [verfasserIn] Kocić Hristina [verfasserIn] Karanikolić Vesna [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	cytokines inflammation oxidative stress psoriasis

Übergeordnetes Werk:	In: Journal of Medical Biochemistry - Society of Medical Biochemists of Serbia, Belgrade, 2008, 43(2024), 1, Seite 97-105
Übergeordnetes Werk:	volume:43 ; year:2024 ; number:1 ; pages:97-105

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.5937/jomb0-45076

Katalog-ID:	DOAJ094536872

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520			\|a Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker.
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allfields	10.5937/jomb0-45076 doi (DE-627)DOAJ094536872 (DE-599)DOAJ65a656df7f724c209cf5084ee4cc4f95 DE-627 ger DE-627 rakwb eng QD415-436 Bakić Mirjana verfasserin aut Oxidative stress and metabolic biomarkers in patients with Psoriasis 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker. cytokines inflammation oxidative stress psoriasis Biochemistry Klisić Aleksandra verfasserin aut Kocić Gordana verfasserin aut Kocić Hristina verfasserin aut Karanikolić Vesna verfasserin aut In Journal of Medical Biochemistry Society of Medical Biochemists of Serbia, Belgrade, 2008 43(2024), 1, Seite 97-105 (DE-627)557575117 (DE-600)2405112-3 14528266 nnns volume:43 year:2024 number:1 pages:97-105 https://doi.org/10.5937/jomb0-45076 kostenfrei https://doaj.org/article/65a656df7f724c209cf5084ee4cc4f95 kostenfrei https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2024/1452-82582401097B.pdf kostenfrei https://doaj.org/toc/1452-8258 Journal toc kostenfrei https://doaj.org/toc/1452-8266 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 43 2024 1 97-105
spelling	10.5937/jomb0-45076 doi (DE-627)DOAJ094536872 (DE-599)DOAJ65a656df7f724c209cf5084ee4cc4f95 DE-627 ger DE-627 rakwb eng QD415-436 Bakić Mirjana verfasserin aut Oxidative stress and metabolic biomarkers in patients with Psoriasis 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker. cytokines inflammation oxidative stress psoriasis Biochemistry Klisić Aleksandra verfasserin aut Kocić Gordana verfasserin aut Kocić Hristina verfasserin aut Karanikolić Vesna verfasserin aut In Journal of Medical Biochemistry Society of Medical Biochemists of Serbia, Belgrade, 2008 43(2024), 1, Seite 97-105 (DE-627)557575117 (DE-600)2405112-3 14528266 nnns volume:43 year:2024 number:1 pages:97-105 https://doi.org/10.5937/jomb0-45076 kostenfrei https://doaj.org/article/65a656df7f724c209cf5084ee4cc4f95 kostenfrei https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2024/1452-82582401097B.pdf kostenfrei https://doaj.org/toc/1452-8258 Journal toc kostenfrei https://doaj.org/toc/1452-8266 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 43 2024 1 97-105
allfields_unstemmed	10.5937/jomb0-45076 doi (DE-627)DOAJ094536872 (DE-599)DOAJ65a656df7f724c209cf5084ee4cc4f95 DE-627 ger DE-627 rakwb eng QD415-436 Bakić Mirjana verfasserin aut Oxidative stress and metabolic biomarkers in patients with Psoriasis 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker. cytokines inflammation oxidative stress psoriasis Biochemistry Klisić Aleksandra verfasserin aut Kocić Gordana verfasserin aut Kocić Hristina verfasserin aut Karanikolić Vesna verfasserin aut In Journal of Medical Biochemistry Society of Medical Biochemists of Serbia, Belgrade, 2008 43(2024), 1, Seite 97-105 (DE-627)557575117 (DE-600)2405112-3 14528266 nnns volume:43 year:2024 number:1 pages:97-105 https://doi.org/10.5937/jomb0-45076 kostenfrei https://doaj.org/article/65a656df7f724c209cf5084ee4cc4f95 kostenfrei https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2024/1452-82582401097B.pdf kostenfrei https://doaj.org/toc/1452-8258 Journal toc kostenfrei https://doaj.org/toc/1452-8266 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 43 2024 1 97-105
allfieldsGer	10.5937/jomb0-45076 doi (DE-627)DOAJ094536872 (DE-599)DOAJ65a656df7f724c209cf5084ee4cc4f95 DE-627 ger DE-627 rakwb eng QD415-436 Bakić Mirjana verfasserin aut Oxidative stress and metabolic biomarkers in patients with Psoriasis 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker. cytokines inflammation oxidative stress psoriasis Biochemistry Klisić Aleksandra verfasserin aut Kocić Gordana verfasserin aut Kocić Hristina verfasserin aut Karanikolić Vesna verfasserin aut In Journal of Medical Biochemistry Society of Medical Biochemists of Serbia, Belgrade, 2008 43(2024), 1, Seite 97-105 (DE-627)557575117 (DE-600)2405112-3 14528266 nnns volume:43 year:2024 number:1 pages:97-105 https://doi.org/10.5937/jomb0-45076 kostenfrei https://doaj.org/article/65a656df7f724c209cf5084ee4cc4f95 kostenfrei https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2024/1452-82582401097B.pdf kostenfrei https://doaj.org/toc/1452-8258 Journal toc kostenfrei https://doaj.org/toc/1452-8266 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 43 2024 1 97-105
allfieldsSound	10.5937/jomb0-45076 doi (DE-627)DOAJ094536872 (DE-599)DOAJ65a656df7f724c209cf5084ee4cc4f95 DE-627 ger DE-627 rakwb eng QD415-436 Bakić Mirjana verfasserin aut Oxidative stress and metabolic biomarkers in patients with Psoriasis 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker. cytokines inflammation oxidative stress psoriasis Biochemistry Klisić Aleksandra verfasserin aut Kocić Gordana verfasserin aut Kocić Hristina verfasserin aut Karanikolić Vesna verfasserin aut In Journal of Medical Biochemistry Society of Medical Biochemists of Serbia, Belgrade, 2008 43(2024), 1, Seite 97-105 (DE-627)557575117 (DE-600)2405112-3 14528266 nnns volume:43 year:2024 number:1 pages:97-105 https://doi.org/10.5937/jomb0-45076 kostenfrei https://doaj.org/article/65a656df7f724c209cf5084ee4cc4f95 kostenfrei https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2024/1452-82582401097B.pdf kostenfrei https://doaj.org/toc/1452-8258 Journal toc kostenfrei https://doaj.org/toc/1452-8266 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 43 2024 1 97-105
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author	Bakić Mirjana
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topic_title	QD415-436 Oxidative stress and metabolic biomarkers in patients with Psoriasis cytokines inflammation oxidative stress psoriasis
topic	misc QD415-436 misc cytokines misc inflammation misc oxidative stress misc psoriasis misc Biochemistry
topic_unstemmed	misc QD415-436 misc cytokines misc inflammation misc oxidative stress misc psoriasis misc Biochemistry
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title	Oxidative stress and metabolic biomarkers in patients with Psoriasis
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title_full	Oxidative stress and metabolic biomarkers in patients with Psoriasis
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title_sort	oxidative stress and metabolic biomarkers in patients with psoriasis
callnumber	QD415-436
title_auth	Oxidative stress and metabolic biomarkers in patients with Psoriasis
abstract	Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker.
abstractGer	Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker.
abstract_unstemmed	Background: Psoriasis is an autoinflammatory disease that affects not only skin but multiple organs thus being associated with many comorbidities. Oxidative stress and inflammation play the major role in the pathogenesis of this disease. Studies that examined by-products of oxidative stress in psoriasis show discrepant results. Hence, we aimed to examine the oxidative stress, inflammation and metabolic markers and to explore their potential relationship with disease severity in patients with psoriasis. Methods: This case-control study comprised of 35 patients with psoriasis and 35 age, sex and body mass index-matched healthy controls. Metabolic and oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), and catalase (CAT)] were measured. The principal component analysis (PCA) was employed to reduce the number of measured variables into smaller number of factors. PCA factors were subsequently used in logistic regression analysis for severe psoriasis prediction. Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. Conclusion: Multimarker approach showed that metabolic and renal function related factor and oxidative stresshepatic related factor were better predictors of psoriasis severity than each single examined biomarker.
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title_short	Oxidative stress and metabolic biomarkers in patients with Psoriasis
url	https://doi.org/10.5937/jomb0-45076 https://doaj.org/article/65a656df7f724c209cf5084ee4cc4f95 https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2024/1452-82582401097B.pdf https://doaj.org/toc/1452-8258 https://doaj.org/toc/1452-8266
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author2	Klisić Aleksandra Kocić Gordana Kocić Hristina Karanikolić Vesna
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up_date	2024-07-03T23:36:24.095Z
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Results: Higher AOPP levels (p<0.01) and CAT activity (p<0.001), but no difference in MDA levels in psoriasis patients vs. healthy controls were shown. Multivariate binary logistic regression analysis showed that a combination of metabolic related factor (i.e., glucose and triglycerides) and renal function related factor (i.e., creatinine and urea) was the best model for Psoriasis Area and Severity Index (PASI) <10 prediction, while oxidative stress-hepatic related factor (i.e., MDA, alanine aminotransferase) was selected as the best predictor for Dermatology Life Quality Index (DLQI) <20. 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Oxidative stress and metabolic biomarkers in patients with Psoriasis

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