The correlation of metabolic and renal biomarkers with vitamin D status in postmenopausal women
Korelacija renalnih i metaboličkih biomarkera sa nivoom vitamina D kod žena u postmenopauzi
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Background: To our knowledge, the mutual involvement of a variety of metabolic and renal biomarkers and vitamin D (determined as 25-hydroxyvitamin D [25(OH)D]) in postmenopausal women has not been examined yet. Therefore, we aimed to explore such a relationship by a thorough statistical multimarker approach. Methods: A total of 150 (diabetes and cardiovascular disease-free) postmenopausal women were included. Anthropometric and biochemical parameters were measured. The fatty liver index (FLI) and Homeostasis model assessment of insulin resistance (HOMA-IR) were calculated. Univariate and multivariate binary logistic regression analyses were used to test the predictions of cardiometabolic markers for [25(OH)D] status. Principal component analysis (PCA) was applied to explore the effect of examined biomarkers on [25(OH)D] status. Results: Univariate binary regression analysis revealed positive associations between FLI and [25(OH)D] [OR=1.036 (1.020–1.052), P<0.001] and HOMA-IR with [25(O...H)D] [OR=2.385 (1.601–3.551), P<0.001]. Multivariate logistic regression analysis with backward selection enabled us to find the best model consisted of two markers, i.e. FLI [OR=1.032 (1.016–1.048), P<0.001] and glucose [OR=2.167 (1.001–4.693), P=0.050] associated with the first tertile of [25(OH)D]. PCA extracted 2 significant factors: Renal function-related factor and Metabolic syndrome-related factor. Renal function-related factor [i.e. creatinine, uric acid, retinol-binding protein 4 (RBP4) and cystatin C] explained 29% of the variance. Also, Metabolic syndrome-related factor (i.e. HOMA-IR, FLI, hsCRP and fibrinogen) explained 29% of the variance of the tested parameters. Moreover, binary logistic regression analysis revealed significant positive predictive ability of both factors, i.e. Renal function-related factor and Metabolic syndrome-related factor (P=0.044 and P<0.001, respectively) towards [25(OH)D] status.
Conclusion: The joint involvement of renal function
biomarkers and metabolic syndrome-related features (i.e.
insulin resistance, inflammation and non-alcoholic fatty
liver disease) can differentiate postmenopausal women
with lower [25(OH)D] levels from other women.
Uvod: Prema našem saznanju zajednički uticaj različitih
metaboličkih i renalnih biomarkera na nivo vitamin D
(odre|enog kao 25-hidroksivitamin D [25(OH)D]) kod
žena u postmenopauzi još uvijek nije ispitivan. Stoga je cilj
istraživanja bio da se ispita povezanost ovih biomarkera
primenom temeljne statističke analize koja uključuje više
navedenih biomarkera.
Metode: Ukupno 150 žena u postmenopauzi (koje nemaju
dijabetes, ni kardiovaskularna oboljenja) je uključeno u
istraživanje. Mereni su antropometrijski i biohemijski parametri. Indeks masne jetre (FLI) i indeks insulinske rezistencije (HOMA-IR) su izračunati. Univarijantna i multivarijantna
binarna logistička regresija su primenjene da bi se odredili
kardiometabolički prediktori nivoa [25(OH)D].
Rezultati: Univarijantna binarna regresiona analiza je
pokazala pozitivnu korelaciju izme|u FLI i [25(OH)D]
[OR=1.036 (1.020–1.052), P<0,001] i HOMA-IR sa
[25(OH)D] [OR=2.385 (1.601–3.551), P<0,001].
Multivarijantna logistička ...regresiona analiza je pokazala
najbolji model sa 2 markera, tj. FLI [OR=1.032 (1.016–
1.048), P<0,001] i glukoza [OR=2.167 (1.001–4.693),
P=0,050] koji su korelirali sa prvom tercilom vrednosti
[25(OH)D]. PCA je izdvojila 2 značajna faktora: Renal
function-related faktor i Metabolic syndrome-related faktor.
Renal function-related faktor [tj. kreatinin, mokraćna kiselina, retinolvezujui protein 4 (RBP4) i cistatin C] su
objasnili 29% varijanse. Takođe, Metabolic syndrome-
related faktor (tj. HOMA-IR, FLI, hsCRP i fibrinogen) su
objasnili 29% varijanse ispitivanih parametara. štaviše,
binarna logistička regresiona analiza je pokazala pozitivnu
prediktivnu sposobnost oba faktora, tj. Renal function-
related faktora i Metabolic syndrome-related faktora
(P=0,044 i P<0,001) za nivo [25(OH)D].
Zaključak: Zajedničko dejstvo renalnih biomarkera i
markera metaboličkog sindroma (tj. insulinska rezistencija,
inflamacija i nealkoholna steatoza jetre) mogu diferencirati
žene u postmenopauzi sa nižim nivoom [25(OH)D] u
odnosu na ostale žene.
Кључне речи:
ostmenopausal / vitamin D deficiency / cardiometabolic risk / inflammation / obesity / žene u postmenopauzi / deficit vitamina D / kardiometabolički rizik / inflamacija / gojaznostИзвор:
Journal of Medical Biochemistry, 2023, 42, 4, 565-573Издавач:
- Society of Medical Biochemists of Serbia
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200161 (Универзитет у Београду, Фармацеутски факултет) (RS-MESTD-inst-2020-200161)
DOI: 10.5937/jomb0-41044
ISSN: 1452-8258
PubMed: 38084240
WoS: 001085480100001
Scopus: 2-s2.0-85175472278
Институција/група
PharmacyTY - JOUR AU - Klisić, Aleksandra AU - Radoman-Vujačić, Irena AU - Kostadinović, Jelena AU - Ninić, Ana PY - 2023 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/5360 AB - Background: To our knowledge, the mutual involvement of a variety of metabolic and renal biomarkers and vitamin D (determined as 25-hydroxyvitamin D [25(OH)D]) in postmenopausal women has not been examined yet. Therefore, we aimed to explore such a relationship by a thorough statistical multimarker approach. Methods: A total of 150 (diabetes and cardiovascular disease-free) postmenopausal women were included. Anthropometric and biochemical parameters were measured. The fatty liver index (FLI) and Homeostasis model assessment of insulin resistance (HOMA-IR) were calculated. Univariate and multivariate binary logistic regression analyses were used to test the predictions of cardiometabolic markers for [25(OH)D] status. Principal component analysis (PCA) was applied to explore the effect of examined biomarkers on [25(OH)D] status. Results: Univariate binary regression analysis revealed positive associations between FLI and [25(OH)D] [OR=1.036 (1.020–1.052), P<0.001] and HOMA-IR with [25(OH)D] [OR=2.385 (1.601–3.551), P<0.001]. Multivariate logistic regression analysis with backward selection enabled us to find the best model consisted of two markers, i.e. FLI [OR=1.032 (1.016–1.048), P<0.001] and glucose [OR=2.167 (1.001–4.693), P=0.050] associated with the first tertile of [25(OH)D]. PCA extracted 2 significant factors: Renal function-related factor and Metabolic syndrome-related factor. Renal function-related factor [i.e. creatinine, uric acid, retinol-binding protein 4 (RBP4) and cystatin C] explained 29% of the variance. Also, Metabolic syndrome-related factor (i.e. HOMA-IR, FLI, hsCRP and fibrinogen) explained 29% of the variance of the tested parameters. Moreover, binary logistic regression analysis revealed significant positive predictive ability of both factors, i.e. Renal function-related factor and Metabolic syndrome-related factor (P=0.044 and P<0.001, respectively) towards [25(OH)D] status. Conclusion: The joint involvement of renal function biomarkers and metabolic syndrome-related features (i.e. insulin resistance, inflammation and non-alcoholic fatty liver disease) can differentiate postmenopausal women with lower [25(OH)D] levels from other women. AB - Uvod: Prema našem saznanju zajednički uticaj različitih metaboličkih i renalnih biomarkera na nivo vitamin D (odre|enog kao 25-hidroksivitamin D [25(OH)D]) kod žena u postmenopauzi još uvijek nije ispitivan. Stoga je cilj istraživanja bio da se ispita povezanost ovih biomarkera primenom temeljne statističke analize koja uključuje više navedenih biomarkera. Metode: Ukupno 150 žena u postmenopauzi (koje nemaju dijabetes, ni kardiovaskularna oboljenja) je uključeno u istraživanje. Mereni su antropometrijski i biohemijski parametri. Indeks masne jetre (FLI) i indeks insulinske rezistencije (HOMA-IR) su izračunati. Univarijantna i multivarijantna binarna logistička regresija su primenjene da bi se odredili kardiometabolički prediktori nivoa [25(OH)D]. Rezultati: Univarijantna binarna regresiona analiza je pokazala pozitivnu korelaciju izme|u FLI i [25(OH)D] [OR=1.036 (1.020–1.052), P<0,001] i HOMA-IR sa [25(OH)D] [OR=2.385 (1.601–3.551), P<0,001]. Multivarijantna logistička regresiona analiza je pokazala najbolji model sa 2 markera, tj. FLI [OR=1.032 (1.016– 1.048), P<0,001] i glukoza [OR=2.167 (1.001–4.693), P=0,050] koji su korelirali sa prvom tercilom vrednosti [25(OH)D]. PCA je izdvojila 2 značajna faktora: Renal function-related faktor i Metabolic syndrome-related faktor. Renal function-related faktor [tj. kreatinin, mokraćna kiselina, retinolvezujui protein 4 (RBP4) i cistatin C] su objasnili 29% varijanse. Takođe, Metabolic syndrome- related faktor (tj. HOMA-IR, FLI, hsCRP i fibrinogen) su objasnili 29% varijanse ispitivanih parametara. štaviše, binarna logistička regresiona analiza je pokazala pozitivnu prediktivnu sposobnost oba faktora, tj. Renal function- related faktora i Metabolic syndrome-related faktora (P=0,044 i P<0,001) za nivo [25(OH)D]. Zaključak: Zajedničko dejstvo renalnih biomarkera i markera metaboličkog sindroma (tj. insulinska rezistencija, inflamacija i nealkoholna steatoza jetre) mogu diferencirati žene u postmenopauzi sa nižim nivoom [25(OH)D] u odnosu na ostale žene. PB - Society of Medical Biochemists of Serbia T2 - Journal of Medical Biochemistry T1 - The correlation of metabolic and renal biomarkers with vitamin D status in postmenopausal women T1 - Korelacija renalnih i metaboličkih biomarkera sa nivoom vitamina D kod žena u postmenopauzi VL - 42 IS - 4 SP - 565 EP - 573 DO - 10.5937/jomb0-41044 ER -
@article{ author = "Klisić, Aleksandra and Radoman-Vujačić, Irena and Kostadinović, Jelena and Ninić, Ana", year = "2023", abstract = "Background: To our knowledge, the mutual involvement of a variety of metabolic and renal biomarkers and vitamin D (determined as 25-hydroxyvitamin D [25(OH)D]) in postmenopausal women has not been examined yet. Therefore, we aimed to explore such a relationship by a thorough statistical multimarker approach. Methods: A total of 150 (diabetes and cardiovascular disease-free) postmenopausal women were included. Anthropometric and biochemical parameters were measured. The fatty liver index (FLI) and Homeostasis model assessment of insulin resistance (HOMA-IR) were calculated. Univariate and multivariate binary logistic regression analyses were used to test the predictions of cardiometabolic markers for [25(OH)D] status. Principal component analysis (PCA) was applied to explore the effect of examined biomarkers on [25(OH)D] status. Results: Univariate binary regression analysis revealed positive associations between FLI and [25(OH)D] [OR=1.036 (1.020–1.052), P<0.001] and HOMA-IR with [25(OH)D] [OR=2.385 (1.601–3.551), P<0.001]. Multivariate logistic regression analysis with backward selection enabled us to find the best model consisted of two markers, i.e. FLI [OR=1.032 (1.016–1.048), P<0.001] and glucose [OR=2.167 (1.001–4.693), P=0.050] associated with the first tertile of [25(OH)D]. PCA extracted 2 significant factors: Renal function-related factor and Metabolic syndrome-related factor. Renal function-related factor [i.e. creatinine, uric acid, retinol-binding protein 4 (RBP4) and cystatin C] explained 29% of the variance. Also, Metabolic syndrome-related factor (i.e. HOMA-IR, FLI, hsCRP and fibrinogen) explained 29% of the variance of the tested parameters. Moreover, binary logistic regression analysis revealed significant positive predictive ability of both factors, i.e. Renal function-related factor and Metabolic syndrome-related factor (P=0.044 and P<0.001, respectively) towards [25(OH)D] status. Conclusion: The joint involvement of renal function biomarkers and metabolic syndrome-related features (i.e. insulin resistance, inflammation and non-alcoholic fatty liver disease) can differentiate postmenopausal women with lower [25(OH)D] levels from other women., Uvod: Prema našem saznanju zajednički uticaj različitih metaboličkih i renalnih biomarkera na nivo vitamin D (odre|enog kao 25-hidroksivitamin D [25(OH)D]) kod žena u postmenopauzi još uvijek nije ispitivan. Stoga je cilj istraživanja bio da se ispita povezanost ovih biomarkera primenom temeljne statističke analize koja uključuje više navedenih biomarkera. Metode: Ukupno 150 žena u postmenopauzi (koje nemaju dijabetes, ni kardiovaskularna oboljenja) je uključeno u istraživanje. Mereni su antropometrijski i biohemijski parametri. Indeks masne jetre (FLI) i indeks insulinske rezistencije (HOMA-IR) su izračunati. Univarijantna i multivarijantna binarna logistička regresija su primenjene da bi se odredili kardiometabolički prediktori nivoa [25(OH)D]. Rezultati: Univarijantna binarna regresiona analiza je pokazala pozitivnu korelaciju izme|u FLI i [25(OH)D] [OR=1.036 (1.020–1.052), P<0,001] i HOMA-IR sa [25(OH)D] [OR=2.385 (1.601–3.551), P<0,001]. Multivarijantna logistička regresiona analiza je pokazala najbolji model sa 2 markera, tj. FLI [OR=1.032 (1.016– 1.048), P<0,001] i glukoza [OR=2.167 (1.001–4.693), P=0,050] koji su korelirali sa prvom tercilom vrednosti [25(OH)D]. PCA je izdvojila 2 značajna faktora: Renal function-related faktor i Metabolic syndrome-related faktor. Renal function-related faktor [tj. kreatinin, mokraćna kiselina, retinolvezujui protein 4 (RBP4) i cistatin C] su objasnili 29% varijanse. Takođe, Metabolic syndrome- related faktor (tj. HOMA-IR, FLI, hsCRP i fibrinogen) su objasnili 29% varijanse ispitivanih parametara. štaviše, binarna logistička regresiona analiza je pokazala pozitivnu prediktivnu sposobnost oba faktora, tj. Renal function- related faktora i Metabolic syndrome-related faktora (P=0,044 i P<0,001) za nivo [25(OH)D]. Zaključak: Zajedničko dejstvo renalnih biomarkera i markera metaboličkog sindroma (tj. insulinska rezistencija, inflamacija i nealkoholna steatoza jetre) mogu diferencirati žene u postmenopauzi sa nižim nivoom [25(OH)D] u odnosu na ostale žene.", publisher = "Society of Medical Biochemists of Serbia", journal = "Journal of Medical Biochemistry", title = "The correlation of metabolic and renal biomarkers with vitamin D status in postmenopausal women, Korelacija renalnih i metaboličkih biomarkera sa nivoom vitamina D kod žena u postmenopauzi", volume = "42", number = "4", pages = "565-573", doi = "10.5937/jomb0-41044" }
Klisić, A., Radoman-Vujačić, I., Kostadinović, J.,& Ninić, A.. (2023). The correlation of metabolic and renal biomarkers with vitamin D status in postmenopausal women. in Journal of Medical Biochemistry Society of Medical Biochemists of Serbia., 42(4), 565-573. https://doi.org/10.5937/jomb0-41044
Klisić A, Radoman-Vujačić I, Kostadinović J, Ninić A. The correlation of metabolic and renal biomarkers with vitamin D status in postmenopausal women. in Journal of Medical Biochemistry. 2023;42(4):565-573. doi:10.5937/jomb0-41044 .
Klisić, Aleksandra, Radoman-Vujačić, Irena, Kostadinović, Jelena, Ninić, Ana, "The correlation of metabolic and renal biomarkers with vitamin D status in postmenopausal women" in Journal of Medical Biochemistry, 42, no. 4 (2023):565-573, https://doi.org/10.5937/jomb0-41044 . .