Signaling molecules in diabetes: search for potential targets in intrinsic pathways for prediction and intervention in diabetes

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Signaling molecules in diabetes: search for potential targets in intrinsic pathways for prediction and intervention in diabetes (en)
Сигнални молекули у дијабетесу: идентификација потенцијалних биолошких маркера укључених у модификацију и интеграцију сигналних путева у циљу предикције и интервенције у дијабетесу (sr)
Signalni molekuli u dijabetesu: identifikacija potencijalnih bioloških markera uključenih u modifikaciju i integraciju signalnih puteva u cilju predikcije i intervencije u dijabetesu (sr_RS)
Authors

Publications

Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves

Rajković, Katarina M; Vasić, Marijana; Drobac, Milica; Mutić, Jelena; Jeremić, Sanja; Simić, Valentina; Stanković, Jovan

(Elsevier, 2020)

TY  - JOUR
AU  - Rajković, Katarina M
AU  - Vasić, Marijana
AU  - Drobac, Milica
AU  - Mutić, Jelena
AU  - Jeremić, Sanja
AU  - Simić, Valentina
AU  - Stanković, Jovan
PY  - 2020
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3604
AB  - The extraction yield of Juglans nigra L. leaves was assessed at different ethanol concen-trations (0–96% (v/v)) and solvent-to-solid ratios (5–20 kg kg−1). The response surfacemethodology (RSM) and artificial neural network with genetic algorithms (ANN-GA) weredeveloped to optimize the extraction variables. The RSM and ANN-GA models determined50% (v/v) ethanol concentration and 20 kg kg−1solvent-to-solid ratio as optimal conditions,ensuring an extraction yield of 27.69 and 27.19 g 100 g−1of dry leaves. The phenolic com-pounds in optimal extract were quantified: 3-O-caffeoylquinic acid (2.27 mg g−1of dry leaves),quercetin-3-O-galactoside (10.99 mg g−1of dry leaves) and quercetin-3-O-rhamnoside (15.07mg g−1of dry leaves) using high-performance liquid chromatography (HPLC). The mineralsin optimal extract were quantified: macro-elements (the relative order by content was: K> Mg > Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) andmicro-elements (the relative order by content was: Zn > Rb > Mn > I>Sr > Ni > Cu > Co >V > Ag > Se) using inductively coupled plasma mass spectrometry (ICP-MS). The extrac-tion coefficients for minerals were determined and were highest for K (64.3%) and I (53.5%).Optimization of extraction process resulted in high extraction yield from J. nigra leaves andoptimal extract containing different phytochemical compounds.
PB  - Elsevier
T2  - Chemical Engineering Research and Design
T1  - Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves
VL  - 157
SP  - 25
EP  - 33
DO  - doi.org/10.1016/j.cherd.2020.03.002
ER  - 
@article{
author = "Rajković, Katarina M and Vasić, Marijana and Drobac, Milica and Mutić, Jelena and Jeremić, Sanja and Simić, Valentina and Stanković, Jovan",
year = "2020",
abstract = "The extraction yield of Juglans nigra L. leaves was assessed at different ethanol concen-trations (0–96% (v/v)) and solvent-to-solid ratios (5–20 kg kg−1). The response surfacemethodology (RSM) and artificial neural network with genetic algorithms (ANN-GA) weredeveloped to optimize the extraction variables. The RSM and ANN-GA models determined50% (v/v) ethanol concentration and 20 kg kg−1solvent-to-solid ratio as optimal conditions,ensuring an extraction yield of 27.69 and 27.19 g 100 g−1of dry leaves. The phenolic com-pounds in optimal extract were quantified: 3-O-caffeoylquinic acid (2.27 mg g−1of dry leaves),quercetin-3-O-galactoside (10.99 mg g−1of dry leaves) and quercetin-3-O-rhamnoside (15.07mg g−1of dry leaves) using high-performance liquid chromatography (HPLC). The mineralsin optimal extract were quantified: macro-elements (the relative order by content was: K> Mg > Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) andmicro-elements (the relative order by content was: Zn > Rb > Mn > I>Sr > Ni > Cu > Co >V > Ag > Se) using inductively coupled plasma mass spectrometry (ICP-MS). The extrac-tion coefficients for minerals were determined and were highest for K (64.3%) and I (53.5%).Optimization of extraction process resulted in high extraction yield from J. nigra leaves andoptimal extract containing different phytochemical compounds.",
publisher = "Elsevier",
journal = "Chemical Engineering Research and Design",
title = "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves",
volume = "157",
pages = "25-33",
doi = "doi.org/10.1016/j.cherd.2020.03.002"
}
Rajković, K. M., Vasić, M., Drobac, M., Mutić, J., Jeremić, S., Simić, V.,& Stanković, J.. (2020). Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves. in Chemical Engineering Research and Design
Elsevier., 157, 25-33.
https://doi.org/doi.org/10.1016/j.cherd.2020.03.002
Rajković KM, Vasić M, Drobac M, Mutić J, Jeremić S, Simić V, Stanković J. Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves. in Chemical Engineering Research and Design. 2020;157:25-33.
doi:doi.org/10.1016/j.cherd.2020.03.002 .
Rajković, Katarina M, Vasić, Marijana, Drobac, Milica, Mutić, Jelena, Jeremić, Sanja, Simić, Valentina, Stanković, Jovan, "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves" in Chemical Engineering Research and Design, 157 (2020):25-33,
https://doi.org/doi.org/10.1016/j.cherd.2020.03.002 . .
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Distinct effects of virgin coconut oil supplementation on the glucose and lipid homeostasis in non-diabetic and alloxan-induced diabetic rats

Đurašević, Siniša; Nikolić, Gorana; Zaletel, Ivan; Grigorov, Ilijana; Memon, Lidija; Mitić-Ćulafić, Dragana; Vujović, Predrag; Đorđević, Jelena; Todorović, Zoran

(Elsevier, 2020)

TY  - JOUR
AU  - Đurašević, Siniša
AU  - Nikolić, Gorana
AU  - Zaletel,  Ivan
AU  - Grigorov,  Ilijana
AU  - Memon, Lidija
AU  - Mitić-Ćulafić, Dragana
AU  - Vujović, Predrag
AU  - Đorđević, Jelena
AU  - Todorović, Zoran
PY  - 2020
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3519
AB  - Non-diabetic and alloxan-induced diabetic rats were fed with standard laboratory food enriched with 20% virgincoconut oil for 16 weeks. In non-diabetic animals coconut oil improved insulin sensitivity and ability to controlglycaemia and decreased the serum triglycerides for almost 50% in comparison with controls. Supplementationwith coconut oil caused liver steatosis in both non-diabetic and diabetic animals. However, the severity ofsteatosis was lower in diabetic animals compared to non-diabetic animals. Coconut oil had no effects on hearthistology, ascending and abdominal aorta wall thickening and atherosclerotic plaques development neither innon-diabetic nor in diabetic animals. While alloxan treatment caused Type I diabetes in rats, supplementationwith coconut oil in combination with the alloxan unexpectedly resulted in Type II diabetes. The development ofsevere insulin resistance and deterioration in serum lipid profile implied that the use of coconut oil is contra-indicated in diabetic condition.
PB  - Elsevier
T2  - Journal of Functional Foods
T1  - Distinct effects of virgin coconut oil supplementation on the glucose and lipid homeostasis in non-diabetic and alloxan-induced diabetic rats
VL  - 64
DO  - 10.1016/j.jff.2019.103601
ER  - 
@article{
author = "Đurašević, Siniša and Nikolić, Gorana and Zaletel,  Ivan and Grigorov,  Ilijana and Memon, Lidija and Mitić-Ćulafić, Dragana and Vujović, Predrag and Đorđević, Jelena and Todorović, Zoran",
year = "2020",
abstract = "Non-diabetic and alloxan-induced diabetic rats were fed with standard laboratory food enriched with 20% virgincoconut oil for 16 weeks. In non-diabetic animals coconut oil improved insulin sensitivity and ability to controlglycaemia and decreased the serum triglycerides for almost 50% in comparison with controls. Supplementationwith coconut oil caused liver steatosis in both non-diabetic and diabetic animals. However, the severity ofsteatosis was lower in diabetic animals compared to non-diabetic animals. Coconut oil had no effects on hearthistology, ascending and abdominal aorta wall thickening and atherosclerotic plaques development neither innon-diabetic nor in diabetic animals. While alloxan treatment caused Type I diabetes in rats, supplementationwith coconut oil in combination with the alloxan unexpectedly resulted in Type II diabetes. The development ofsevere insulin resistance and deterioration in serum lipid profile implied that the use of coconut oil is contra-indicated in diabetic condition.",
publisher = "Elsevier",
journal = "Journal of Functional Foods",
title = "Distinct effects of virgin coconut oil supplementation on the glucose and lipid homeostasis in non-diabetic and alloxan-induced diabetic rats",
volume = "64",
doi = "10.1016/j.jff.2019.103601"
}
Đurašević, S., Nikolić, G., Zaletel, I., Grigorov, I., Memon, L., Mitić-Ćulafić, D., Vujović, P., Đorđević, J.,& Todorović, Z.. (2020). Distinct effects of virgin coconut oil supplementation on the glucose and lipid homeostasis in non-diabetic and alloxan-induced diabetic rats. in Journal of Functional Foods
Elsevier., 64.
https://doi.org/10.1016/j.jff.2019.103601
Đurašević S, Nikolić G, Zaletel I, Grigorov I, Memon L, Mitić-Ćulafić D, Vujović P, Đorđević J, Todorović Z. Distinct effects of virgin coconut oil supplementation on the glucose and lipid homeostasis in non-diabetic and alloxan-induced diabetic rats. in Journal of Functional Foods. 2020;64.
doi:10.1016/j.jff.2019.103601 .
Đurašević, Siniša, Nikolić, Gorana, Zaletel,  Ivan, Grigorov,  Ilijana, Memon, Lidija, Mitić-Ćulafić, Dragana, Vujović, Predrag, Đorđević, Jelena, Todorović, Zoran, "Distinct effects of virgin coconut oil supplementation on the glucose and lipid homeostasis in non-diabetic and alloxan-induced diabetic rats" in Journal of Functional Foods, 64 (2020),
https://doi.org/10.1016/j.jff.2019.103601 . .
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