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Browsing by Author "Nair, Devaki (7005754649)"

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    Correlation between PAI-1, leptin and ferritin with HOMA in HIV/AIDS patients
    (2018)
    Dragović, Gordana (23396934400)
    ;
    Sumarac-Dumanovic, Mirjana (7801558773)
    ;
    Khawla, Al Musalhi (57193262910)
    ;
    Soldatović, Ivan (35389846900)
    ;
    Andjić, Mladen (57725550500)
    ;
    Jevtović, Djordje (55410443900)
    ;
    Nair, Devaki (7005754649)
    Background: Data about correlation of interleukins (IL-1 α IL-1 β IFN γ IL-2, IL-4, IL-6, IL-8, IL-10), adipocytokines (leptin, adiponectin, monocyte chemoattractant protein-1 (MCP-1), resistin, plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor alpha (TNFα), ferritin, C reactive protein (CRP) and vascular endothelial growth factor (VEGF) with homeostasis model assessment (HOMA) in HIV/AIDS patients are still limited. Therefore the aim of this study was to evaluate the possible correlations of serum levels of PAI-1, leptin and ferritin with HOMA in HIV/AIDS patients treated with combined antiretroviral therapy (cART). Methods: This cross-sectional study included 64 HIV/AIDS patients, all Caucasians, receiving cART at the HIV/AIDS Centre, Belgrade, Serbia. PAI-1, leptin, ferritin and insulin levels were measured using the Metabolic Syndrome Array I (Randox Laboratories Ltd., London, UK), while adiponectin and resistin levels were measured using Metabolic Syndrome Array II (Randox Laboratories Ltd., London, UK), interleukins (IL-1 α IL-1 β IFN γ IL-2, IL-4, IL-6, IL-8, IL-10), MCP-1, TNF-α as well as VEGF was measured using Cytokine Array I (Randox Laboratories Ltd., London, UK). Insulin resistance was determined using the homeostasis model assessment index (HOMA). Multicollinearity of independent variables in multivariate model was analyzed using Variance Inflation Factor. Results: Correlation analysis revealed significant correlations between HOMA and waist circumference, body mass index, patients’ age, number of cART combinations and triglycerides (p = 0.001, p = 0.001, p = 0.050, p = 0.044, p = 0.002, respectively). HOMA negatively correlated with levels of high density lipoprotein (HDL) (Rho = −0.282; p = 0.025). PAI-1 (Rho = 0.334; p= 0.007) and leptin (Rho = 0.492; p = 0.001) together with ferritin (Rho = 0.396, p = 0.001) positively and significantly correlated with HOMA. Levels of IL-1 α IL-1 β IFN γ IL-2, IL-4, IL-6, IL-8, IL-10, adiponectin, MCP-1, resistin, TNF-α CRP and VEGF did not significantly correlate with HOMA. Further, multiple logistic regression showed that there is a statistically significant correlation between PAI, leptin and ferritin with HOMA levels (p = 0.042; p < 0.001, p = 0.009). Conclusions: We showed significant correlation between PAI-1, leptin and ferritin, independently of each other with HOMA, in HIV/AIDS patients on cART. © 2018 Elsevier Inc.
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    Publication
    Correlation between PAI-1, leptin and ferritin with HOMA in HIV/AIDS patients
    (2018)
    Dragović, Gordana (23396934400)
    ;
    Sumarac-Dumanovic, Mirjana (7801558773)
    ;
    Khawla, Al Musalhi (57193262910)
    ;
    Soldatović, Ivan (35389846900)
    ;
    Andjić, Mladen (57725550500)
    ;
    Jevtović, Djordje (55410443900)
    ;
    Nair, Devaki (7005754649)
    Background: Data about correlation of interleukins (IL-1 α IL-1 β IFN γ IL-2, IL-4, IL-6, IL-8, IL-10), adipocytokines (leptin, adiponectin, monocyte chemoattractant protein-1 (MCP-1), resistin, plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor alpha (TNFα), ferritin, C reactive protein (CRP) and vascular endothelial growth factor (VEGF) with homeostasis model assessment (HOMA) in HIV/AIDS patients are still limited. Therefore the aim of this study was to evaluate the possible correlations of serum levels of PAI-1, leptin and ferritin with HOMA in HIV/AIDS patients treated with combined antiretroviral therapy (cART). Methods: This cross-sectional study included 64 HIV/AIDS patients, all Caucasians, receiving cART at the HIV/AIDS Centre, Belgrade, Serbia. PAI-1, leptin, ferritin and insulin levels were measured using the Metabolic Syndrome Array I (Randox Laboratories Ltd., London, UK), while adiponectin and resistin levels were measured using Metabolic Syndrome Array II (Randox Laboratories Ltd., London, UK), interleukins (IL-1 α IL-1 β IFN γ IL-2, IL-4, IL-6, IL-8, IL-10), MCP-1, TNF-α as well as VEGF was measured using Cytokine Array I (Randox Laboratories Ltd., London, UK). Insulin resistance was determined using the homeostasis model assessment index (HOMA). Multicollinearity of independent variables in multivariate model was analyzed using Variance Inflation Factor. Results: Correlation analysis revealed significant correlations between HOMA and waist circumference, body mass index, patients’ age, number of cART combinations and triglycerides (p = 0.001, p = 0.001, p = 0.050, p = 0.044, p = 0.002, respectively). HOMA negatively correlated with levels of high density lipoprotein (HDL) (Rho = −0.282; p = 0.025). PAI-1 (Rho = 0.334; p= 0.007) and leptin (Rho = 0.492; p = 0.001) together with ferritin (Rho = 0.396, p = 0.001) positively and significantly correlated with HOMA. Levels of IL-1 α IL-1 β IFN γ IL-2, IL-4, IL-6, IL-8, IL-10, adiponectin, MCP-1, resistin, TNF-α CRP and VEGF did not significantly correlate with HOMA. Further, multiple logistic regression showed that there is a statistically significant correlation between PAI, leptin and ferritin with HOMA levels (p = 0.042; p < 0.001, p = 0.009). Conclusions: We showed significant correlation between PAI-1, leptin and ferritin, independently of each other with HOMA, in HIV/AIDS patients on cART. © 2018 Elsevier Inc.
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    Correlation of Leptin, Adiponectin, and Resistin Levels in Different Types of Lipodystrophy in HIV/AIDS Patients
    (2017)
    Srdic, Danica (57196729023)
    ;
    Khawla, Al Musalhi (57193262910)
    ;
    Soldatovic, Ivan (35389846900)
    ;
    Nikolic, Jelena (57207516168)
    ;
    Jevtovic, Djordje (55410443900)
    ;
    Nair, Devaki (7005754649)
    ;
    Dragovic, Gordana (23396934400)
    BACKGROUND: Leptin, adiponectin, and resistin may play an important role in the development of lipodystrophy (LD) in HIV/AIDS patients. The aim of this study was to correlate levels of leptin, adiponectin, and resistin between HIV/AIDS patients with LD and without lipodystrophy (non-LD), as well as between subgroups of LD [lipoatrophy (LA), lipohypertrophy (LH), and mixed fat redistribution (MFR)] and non-LD patients.; METHODS: Cross-sectional study of 66 HIV/AIDS patients. Serum levels of leptin, adiponectin, and resistin were measured. The associations between adipocytokine levels and metabolic variables were estimated by Spearman correlation. Analysis of covariance with bootstrapping method was used to examine the relationship between adiponectin and leptin and lipodystrophy categories.; RESULTS: The LD was observed in 29 (44%) patients, while 15 (52%) of them had LA, 4 (14%) had LH, and 10 (34%) patients had MFR. No significant differences regarding leptin, adiponectin, and resistin levels, between LD and non-LD patients, were observed. LH patients had significantly higher levels of leptin and adiponectin in comparison with non-LD patients (P = 0.039, P = 0.011, respectively). Within the LD group, LA patients had significantly lower levels of leptin (LA vs. LH, P = 0.020; LA vs. MFR, P = 0.027), while LH patients had significantly higher levels of adiponectin (LH vs. LA, P = 0.027; LH vs. MFR, P = 0.028). Correlation of adiponectin with LD remains significant in the LH subgroup after adjustment for age, body mass index, cystatin-C, plasminogen activator inhibitor-1 (PAI-1), and interferon gamma (IFN-γ) (P = 0.001).; CONCLUSIONS: Adiponectin and leptin levels differ significantly between LH patients and non-LD patients, as well as between the LD subgroups. Adiponectin may be a more useful marker of LD in HIV/AIDS patients.
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    Lower levels of IL-4 and IL-10 influence lipodystrophy in HIV/AIDS patients under antiretroviral therapy
    (2017)
    Dragović, Gordana (23396934400)
    ;
    Dimitrijević, Božana (59097555200)
    ;
    Khawla, Al Musalhi (57193262910)
    ;
    Soldatović, Ivan (35389846900)
    ;
    Andjić, Mladen (57725550500)
    ;
    Jevtović, Djordje (55410443900)
    ;
    Nair, Devaki (7005754649)
    Background The role of interleukins in the pathogenesis of lipodystrophy in HIV/AIDS-patients is still not understood. The aim of this study was to evaluate the relationship between serum levels of interleukins between HIV/AIDS-patients with or without lipodystrophy, as well as between different subgroups of lipodystrophy (lipoatrophy, lipohypertrophy, mixed-fat-redistribution) and patients without lipodystrophy. Methods Cross-sectional study of 66 HIV/AIDS patients, all Caucasians. Serum levels of interleukins (IL-1α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10) were measured using Cytokine-Array-1 on Evidence Investigator, Biochip Array Technology. The associations between interleukins and anthropometric and metabolic variables were estimated by Spearman-correlation. Analysis of covariance with bootstrapping method (ACBM) was used to examine relationship between interleukins and lipodystrophy categories adjusted for confounding variables. Results The lipodystrophy was observed in 29 (44%) patients, while 15 (52%) had lipoatrophy, 4 (14%) lipohypertrophy and 10 (34%) patients had mixed fat redistribution. There were 37 (56%) patients without lipodystrophy. Significantly lower levels of IL-4 and IL-10 were observed in lipodystrophy vs. non-lipodystrophy (p = 0.008; p = 0.027, respectively). No differences were found relating IL-1α, IL-1β, IL-2, IL-6 and IL-8 levels in lipodystrophy vs. non-lipodystrophy. In patient subgroup with lipoatrophy, significantly lower levels of IL-4 and IL-10 were found when compared to non-lipodystrophy (p = 0.043; p = 0.031, respectively). In lipohypertrophy subgroup significantly lower levels of IL-4 were found when compared to non-lipodystrophy (p = 0.003). In order to estimate the correlation of IL-4 and IL-10 and the presence of lipodystrophy, ACBM showed that correlation of IL-4 levels in patients with lipodystrophy remains statistically significant (p = 0.004) in all types of lipodystrophy: lipoatrophy, lipohypertrophy and mix-fat-redistribution (p = 0.027; p = 0.009; p = 0.017, respectively) after adjustment for age, BMI. Conclusions IL-4 and IL-10 levels were significantly lower in lipodystrophy vs. non-lipodystrophy. According to our knowledge, we showed for the first time significant correlation between IL-4 levels and lipodystrophy development in HIV/AIDS patients. © 2017
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    Lower levels of IL-4 and IL-10 influence lipodystrophy in HIV/AIDS patients under antiretroviral therapy
    (2017)
    Dragović, Gordana (23396934400)
    ;
    Dimitrijević, Božana (59097555200)
    ;
    Khawla, Al Musalhi (57193262910)
    ;
    Soldatović, Ivan (35389846900)
    ;
    Andjić, Mladen (57725550500)
    ;
    Jevtović, Djordje (55410443900)
    ;
    Nair, Devaki (7005754649)
    Background The role of interleukins in the pathogenesis of lipodystrophy in HIV/AIDS-patients is still not understood. The aim of this study was to evaluate the relationship between serum levels of interleukins between HIV/AIDS-patients with or without lipodystrophy, as well as between different subgroups of lipodystrophy (lipoatrophy, lipohypertrophy, mixed-fat-redistribution) and patients without lipodystrophy. Methods Cross-sectional study of 66 HIV/AIDS patients, all Caucasians. Serum levels of interleukins (IL-1α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10) were measured using Cytokine-Array-1 on Evidence Investigator, Biochip Array Technology. The associations between interleukins and anthropometric and metabolic variables were estimated by Spearman-correlation. Analysis of covariance with bootstrapping method (ACBM) was used to examine relationship between interleukins and lipodystrophy categories adjusted for confounding variables. Results The lipodystrophy was observed in 29 (44%) patients, while 15 (52%) had lipoatrophy, 4 (14%) lipohypertrophy and 10 (34%) patients had mixed fat redistribution. There were 37 (56%) patients without lipodystrophy. Significantly lower levels of IL-4 and IL-10 were observed in lipodystrophy vs. non-lipodystrophy (p = 0.008; p = 0.027, respectively). No differences were found relating IL-1α, IL-1β, IL-2, IL-6 and IL-8 levels in lipodystrophy vs. non-lipodystrophy. In patient subgroup with lipoatrophy, significantly lower levels of IL-4 and IL-10 were found when compared to non-lipodystrophy (p = 0.043; p = 0.031, respectively). In lipohypertrophy subgroup significantly lower levels of IL-4 were found when compared to non-lipodystrophy (p = 0.003). In order to estimate the correlation of IL-4 and IL-10 and the presence of lipodystrophy, ACBM showed that correlation of IL-4 levels in patients with lipodystrophy remains statistically significant (p = 0.004) in all types of lipodystrophy: lipoatrophy, lipohypertrophy and mix-fat-redistribution (p = 0.027; p = 0.009; p = 0.017, respectively) after adjustment for age, BMI. Conclusions IL-4 and IL-10 levels were significantly lower in lipodystrophy vs. non-lipodystrophy. According to our knowledge, we showed for the first time significant correlation between IL-4 levels and lipodystrophy development in HIV/AIDS patients. © 2017
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    The impact of type of dietary protein, animal versus vegetable, in modifying cardiometabolic risk factors: A position paper from the International Lipid Expert Panel (ILEP)
    (2021)
    Zhubi-Bakija, Fjolla (57217489853)
    ;
    Bajraktari, Gani (12764374400)
    ;
    Bytyçi, Ibadete (56166743400)
    ;
    Mikhailidis, Dimitri P. (36042757800)
    ;
    Henein, Michael Y. (7006300845)
    ;
    Latkovskis, Gustavs (6507756746)
    ;
    Rexhaj, Zarife (57201468540)
    ;
    Zhubi, Esra (57217491805)
    ;
    Banach, Maciej (22936699500)
    ;
    Alnouri, Fahad (56166712200)
    ;
    Amar, Fahma (57216210412)
    ;
    Atanasov, Atanas G. (7102991067)
    ;
    Bartlomiejczyk, Marcin A. (57201880628)
    ;
    Bjelakovic, Bojko (15070010000)
    ;
    Bruckert, Eric (55539414500)
    ;
    Cafferata, Alberto (55820685700)
    ;
    Ceska, Richard (7005272416)
    ;
    Cicero, Arrigo F.G. (7003403707)
    ;
    Collet, Xavier (7004040078)
    ;
    Descamps, Olivier (6701764714)
    ;
    Djuric, Dragan (36016317400)
    ;
    Durst, Ronen (7005127717)
    ;
    Ezhov, Marat V. (57218254057)
    ;
    Fras, Zlatko (35615293100)
    ;
    Gaita, Dan (26537386100)
    ;
    Hernandez, Adrian V. (56447777300)
    ;
    Jones, Steven R. (55585941500)
    ;
    Jozwiak, Jacek (21833993700)
    ;
    Kakauridze, Nona (14052213500)
    ;
    Katsiki, Niki (25421628400)
    ;
    Khera, Amit (8240985600)
    ;
    Kostner, Karam (7004449333)
    ;
    Kubilius, Raimondas (12779626300)
    ;
    Mancini, G.B. John (8988367800)
    ;
    Marais, A. David (7005986976)
    ;
    Martin, Seth S. (55450099100)
    ;
    Martinez, Julio Acosta (59598120300)
    ;
    Mazidi, Mohsen (57200232563)
    ;
    Mirrakhimov, Erkin (57216202888)
    ;
    Miserez, Andre R. (57260096800)
    ;
    Mitchenko, Olena (57193516360)
    ;
    Moriarty, Patrick M. (7006056255)
    ;
    Nabavi, Seyed Mohammad (55621554100)
    ;
    Nair, Devaki (7005754649)
    ;
    Panagiotakos, Demosthenes B. (7005977027)
    ;
    Paragh, György (7003269524)
    ;
    Pella, Daniel (57207570055)
    ;
    Penson, Peter E. (6506734112)
    ;
    Petrulioniene, Zaneta (24482298700)
    ;
    Pirro, Matteo (22036502300)
    ;
    Postadzhiyan, Arman (55900865700)
    ;
    Puri, Raman (9433943200)
    ;
    Reda, Ashraf (36700243800)
    ;
    Reiner, Željko (55411641000)
    ;
    Riadh, Jemaa (6508252624)
    ;
    Richter, Dimitri (35434226200)
    ;
    Rizzo, Manfredi (7202023733)
    ;
    Ruscica, Massimiliano (6506814092)
    ;
    Sahebkar, Amirhossein (26639699900)
    ;
    Sattar, Naveed (7007043802)
    ;
    Serban, Maria-Corina (56497645100)
    ;
    Shehab, Abdulla M.A. (6603838351)
    ;
    Shek, Aleksandr B. (57205032006)
    ;
    Sirtori, Cesare R. (57203252370)
    ;
    Stefanutti, Claudia (56055363600)
    ;
    Tomasik, Tomasz (6602445472)
    ;
    Toth, Peter P. (7102285226)
    ;
    Viigimaa, Margus (57221665512)
    ;
    Vinereanu, Dragos (6603080279)
    ;
    Vohnout, Branislav (6602372073)
    ;
    von Haehling, Stephan (6602981479)
    ;
    Vrablik, Michal (6701669648)
    ;
    Wong, Nathan D. (7202836669)
    ;
    Yeh, Hung-I. (7401745306)
    ;
    Zhisheng, Jiang (57204466187)
    ;
    Zirlik, Andreas (57193916052)
    Proteins play a crucial role in metabolism, in maintaining fluid and acid-base balance and antibody synthesis. Dietary proteins are important nutrients and are classified into: 1) animal proteins (meat, fish, poultry, eggs and dairy), and, 2) plant proteins (legumes, nuts and soy). Dietary modification is one of the most important lifestyle changes that has been shown to significantly decrease the risk of cardiovascular (CV) disease (CVD) by attenuating related risk factors. The CVD burden is reduced by optimum diet through replacement of unprocessed meat with low saturated fat, animal proteins and plant proteins. In view of the available evidence, it has become acceptable to emphasize the role of optimum nutrition to maintain arterial and CV health. Such healthy diets are thought to increase satiety, facilitate weight loss, and improve CV risk. Different studies have compared the benefits of omnivorous and vegetarian diets. Animal protein related risk has been suggested to be greater with red or processed meat over and above poultry, fish and nuts, which carry a lower risk for CVD. In contrast, others have shown no association of red meat intake with CVD. The aim of this expert opinion recommendation was to elucidate the different impact of animal vs vegetable protein on modifying cardiometabolic risk factors. Many observational and interventional studies confirmed that increasing protein intake, especially plant-based proteins and certain animal-based proteins (poultry, fish, unprocessed red meat low in saturated fats and low-fat dairy products) have a positive effect in modifying cardiometabolic risk factors. Red meat intake correlates with increased CVD risk, mainly because of its non-protein ingredients (saturated fats). However, the way red meat is cooked and preserved matters. Thus, it is recommended to substitute red meat with poultry or fish in order to lower CVD risk. Specific amino acids have favourable results in modifying major risk factors for CVD, such as hypertension. Apart from meat, other animal-source proteins, like those found in dairy products (especially whey protein) are inversely correlated to hypertension, obesity and insulin resistance. © 2020 The Author(s)
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    Publication
    The impact of type of dietary protein, animal versus vegetable, in modifying cardiometabolic risk factors: A position paper from the International Lipid Expert Panel (ILEP)
    (2021)
    Zhubi-Bakija, Fjolla (57217489853)
    ;
    Bajraktari, Gani (12764374400)
    ;
    Bytyçi, Ibadete (56166743400)
    ;
    Mikhailidis, Dimitri P. (36042757800)
    ;
    Henein, Michael Y. (7006300845)
    ;
    Latkovskis, Gustavs (6507756746)
    ;
    Rexhaj, Zarife (57201468540)
    ;
    Zhubi, Esra (57217491805)
    ;
    Banach, Maciej (22936699500)
    ;
    Alnouri, Fahad (56166712200)
    ;
    Amar, Fahma (57216210412)
    ;
    Atanasov, Atanas G. (7102991067)
    ;
    Bartlomiejczyk, Marcin A. (57201880628)
    ;
    Bjelakovic, Bojko (15070010000)
    ;
    Bruckert, Eric (55539414500)
    ;
    Cafferata, Alberto (55820685700)
    ;
    Ceska, Richard (7005272416)
    ;
    Cicero, Arrigo F.G. (7003403707)
    ;
    Collet, Xavier (7004040078)
    ;
    Descamps, Olivier (6701764714)
    ;
    Djuric, Dragan (36016317400)
    ;
    Durst, Ronen (7005127717)
    ;
    Ezhov, Marat V. (57218254057)
    ;
    Fras, Zlatko (35615293100)
    ;
    Gaita, Dan (26537386100)
    ;
    Hernandez, Adrian V. (56447777300)
    ;
    Jones, Steven R. (55585941500)
    ;
    Jozwiak, Jacek (21833993700)
    ;
    Kakauridze, Nona (14052213500)
    ;
    Katsiki, Niki (25421628400)
    ;
    Khera, Amit (8240985600)
    ;
    Kostner, Karam (7004449333)
    ;
    Kubilius, Raimondas (12779626300)
    ;
    Mancini, G.B. John (8988367800)
    ;
    Marais, A. David (7005986976)
    ;
    Martin, Seth S. (55450099100)
    ;
    Martinez, Julio Acosta (59598120300)
    ;
    Mazidi, Mohsen (57200232563)
    ;
    Mirrakhimov, Erkin (57216202888)
    ;
    Miserez, Andre R. (57260096800)
    ;
    Mitchenko, Olena (57193516360)
    ;
    Moriarty, Patrick M. (7006056255)
    ;
    Nabavi, Seyed Mohammad (55621554100)
    ;
    Nair, Devaki (7005754649)
    ;
    Panagiotakos, Demosthenes B. (7005977027)
    ;
    Paragh, György (7003269524)
    ;
    Pella, Daniel (57207570055)
    ;
    Penson, Peter E. (6506734112)
    ;
    Petrulioniene, Zaneta (24482298700)
    ;
    Pirro, Matteo (22036502300)
    ;
    Postadzhiyan, Arman (55900865700)
    ;
    Puri, Raman (9433943200)
    ;
    Reda, Ashraf (36700243800)
    ;
    Reiner, Željko (55411641000)
    ;
    Riadh, Jemaa (6508252624)
    ;
    Richter, Dimitri (35434226200)
    ;
    Rizzo, Manfredi (7202023733)
    ;
    Ruscica, Massimiliano (6506814092)
    ;
    Sahebkar, Amirhossein (26639699900)
    ;
    Sattar, Naveed (7007043802)
    ;
    Serban, Maria-Corina (56497645100)
    ;
    Shehab, Abdulla M.A. (6603838351)
    ;
    Shek, Aleksandr B. (57205032006)
    ;
    Sirtori, Cesare R. (57203252370)
    ;
    Stefanutti, Claudia (56055363600)
    ;
    Tomasik, Tomasz (6602445472)
    ;
    Toth, Peter P. (7102285226)
    ;
    Viigimaa, Margus (57221665512)
    ;
    Vinereanu, Dragos (6603080279)
    ;
    Vohnout, Branislav (6602372073)
    ;
    von Haehling, Stephan (6602981479)
    ;
    Vrablik, Michal (6701669648)
    ;
    Wong, Nathan D. (7202836669)
    ;
    Yeh, Hung-I. (7401745306)
    ;
    Zhisheng, Jiang (57204466187)
    ;
    Zirlik, Andreas (57193916052)
    Proteins play a crucial role in metabolism, in maintaining fluid and acid-base balance and antibody synthesis. Dietary proteins are important nutrients and are classified into: 1) animal proteins (meat, fish, poultry, eggs and dairy), and, 2) plant proteins (legumes, nuts and soy). Dietary modification is one of the most important lifestyle changes that has been shown to significantly decrease the risk of cardiovascular (CV) disease (CVD) by attenuating related risk factors. The CVD burden is reduced by optimum diet through replacement of unprocessed meat with low saturated fat, animal proteins and plant proteins. In view of the available evidence, it has become acceptable to emphasize the role of optimum nutrition to maintain arterial and CV health. Such healthy diets are thought to increase satiety, facilitate weight loss, and improve CV risk. Different studies have compared the benefits of omnivorous and vegetarian diets. Animal protein related risk has been suggested to be greater with red or processed meat over and above poultry, fish and nuts, which carry a lower risk for CVD. In contrast, others have shown no association of red meat intake with CVD. The aim of this expert opinion recommendation was to elucidate the different impact of animal vs vegetable protein on modifying cardiometabolic risk factors. Many observational and interventional studies confirmed that increasing protein intake, especially plant-based proteins and certain animal-based proteins (poultry, fish, unprocessed red meat low in saturated fats and low-fat dairy products) have a positive effect in modifying cardiometabolic risk factors. Red meat intake correlates with increased CVD risk, mainly because of its non-protein ingredients (saturated fats). However, the way red meat is cooked and preserved matters. Thus, it is recommended to substitute red meat with poultry or fish in order to lower CVD risk. Specific amino acids have favourable results in modifying major risk factors for CVD, such as hypertension. Apart from meat, other animal-source proteins, like those found in dairy products (especially whey protein) are inversely correlated to hypertension, obesity and insulin resistance. © 2020 The Author(s)

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