The Role of Uric Acid in Acute and Chronic Coronary Syndromes

Maloberti, Alessandro; Biolcati, Marco; Ruzzenenti, Giacomo; Giani, Valentina; Leidi, Filippo; Monticelli, Massimiliano; Algeri, Michela; Scarpellini, Sara; Nava, Stefano; Soriano, Francesco; Oreglia, Jacopo; Sacco, Alice; Morici, Nuccia; Oliva, Fabrizio; Piani, Federica; Borghi, Claudio; Giannattasio, Cristina

doi:10.3390/jcm10204750

Cited by 39 publications

(33 citation statements)

References 75 publications

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“…Uric acid (UA) is the final degradation product of purine nucleotides from endogenous (cellular nucleoproteins) and exogenous origins (alimentary) [ 192 ]. In the Framingham study that included 5127 participants followed up for 12 years, Kannel et al established the link between UA and CV events by demonstrating an elevated risk of myocardial infarction in people with hyperuricemia [ 193 ].…”

Section: Resultsmentioning

confidence: 99%

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction

Stătescu

Anghel

Tudurachi

et al. 2022

IJMS

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Despite all the important advances in its diagnosis and treatment, acute myocardial infarction (AMI) is still one of the most prominent causes of morbidity and mortality worldwide. Early identification of patients at high risk of poor outcomes through the measurement of various biomarker concentrations might contribute to more accurate risk stratification and help to guide more individualized therapeutic strategies, thus improving prognoses. The aim of this article is to provide an overview of the role and applications of cardiac biomarkers in risk stratification and prognostic assessment for patients with myocardial infarction. Although there is no ideal biomarker that can provide prognostic information for risk assessment in patients with AMI, the results obtained in recent years are promising. Several novel biomarkers related to the pathophysiological processes found in patients with myocardial infarction, such as inflammation, neurohormonal activation, myocardial stress, myocardial necrosis, cardiac remodeling and vasoactive processes, have been identified; they may bring additional value for AMI prognosis when included in multi-biomarker strategies. Furthermore, the use of artificial intelligence algorithms for risk stratification and prognostic assessment in these patients may have an extremely important role in improving outcomes.

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Section: Resultsmentioning

confidence: 99%

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction

Stătescu

Anghel

Tudurachi

et al. 2022

IJMS

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“… 1 A study conducted in Adelaide showed that the prevalence of hyperuricaemia in South Australia is relatively high, with an overall prevalence of 16.6%. 2 Several epidemiological studies indicated that serum uric acids (SUA) had a detrimental effect on the prevalence of metabolic diseases, such as cardiovascular diseases, 3 metabolic syndrome. 4–6 Recent study found that serum gamma-glutamyl transferase (GGT) concentration were strongly related to elevated uric acid level in normotensive adults.…”

Section: Introductionmentioning

confidence: 99%

Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study

Wang

Zhang

et al. 2022

BMJ Open

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ObjectivesSeveral studies have demonstrated the association between gamma-glutamyl transferase (GGT) and hyperuricaemia, but little is known about such relation in less-developed ethnic minority regions.DesignWe cross-sectionally analysed data from the China Multi-Ethnic Cohort (Yunnan region).SettingCross-sectional study.Participants22 020 participants aged 30–79 years from Han ethnicity, Yi ethnicity and Bai ethnicity.OutcomesThe serum level of uric acid, GGT and other metabolic parameters were tested. Weight, height and blood pressure were measured. Smoking, drinking, ethnicity, education and medical history were obtained from questionnaires.ResultsIn the crude model, compared with the lowest quintile, the second, third, fourth and fifth quintiles of serum GGT exhibited a positive association with hyperuricaemia risk (OR=1.69, 2.90, 4.34 and 7.70, 95% CI=1.42 to 2.01, 2.47 to 3.42, 3.71 to 5.09 and 6.60 to 8.98, respectively, p-trend<0.0001). In fully adjusted model, compared with the lowest quintile, the second, third, fourth and fifth quintiles of serum GGT also exhibited a positive association with hyperuricaemia risk (OR=1.26, 1.68, 2.02 and 3.02, 95% CI=1.04 to 1.51, 1.40 to 2.00, 1.69 to 2.42 and 2.51 to 3.64, respectively, p-trend<0.0001). Logistic regression model was conducted separately in ethnic groups. Compared with first quintile, the highest GGT level were related to higher risk of hyperuricaemia in three ethnic groups (OR (95% CI): 2.89 (2.26 to 3.68), 2.81 (1.93 to 4.11) and 3.04 (1.91 to 4.84) for Han, Yi and Bai ethnicity, respectively, p-trend <0.0001). The relationship between GGT and hyperuricaemia was also observed in different age groups or gender groups.ConclusionsHigh serum GGT level was related to a higher risk of hyperuricaemia in less-developed ethnic minority regions in China.

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“…Uric acid (UA) is the final product of the purine catabolism (6). While UA has been linked to kidney illness and articular gout, recent research has shown that it could also be connected to cardiovascular (CV) disorders (6,7,8). It also has some connection with metabolic disorders such as diabetes mellitus.…”

Section: Introductionmentioning

confidence: 99%

To Evaluate the Level of Serum Cholesterol, Uric Acid, Urea, Creatinine and Urine Albumin in Diabetic Patients from Peshawar

Mehreen¹,

Niaz²,

Rehman³

et al. 2022

PJMHS

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Diabetes Mellitus is a metabolic disorder that causes chronic hyperglycemia. Its progression may lead to the dysfunction of multiple organs such as kidneys, eyes, blood vessels and neurons. It is caused by a combination of two basic factors that are abnormal insulin secretion and sensitivity of tissues to insulin. Group of parameters were selected in this study that have some relation with diabetes mellitus which included serum uric acid, cholesterol, urea, creatinine and urine albumin. The aim of this study was to find the impact of diabetes mellitus on these parameters. The blood and urine samples were collected according to the recommended protocol. The biochemical parameters had been determined by Micro-lab 300 biochemistry analyzer and urine qualitative was performed through uric-v3 strips. A cross-sectional study was carried out by 105 diabetic subjects and their samples were collected from different laboratories of district Peshawar. The mean age was 44 ± 12.54 years and samples were comprised of 50.48%male and 49.52% females. According to our findings among 105 diabetic patients 29% had elevated uric acid, 69% cholesterol, 57% urea, 39%creatinine and 40% urine albumin levels respectively. The overall result concluded that these parameters must be considered or taken seriously to monitor and to limit its progression to irreversible changes. Keywords: cholesterol, creatinine, diabetes mellitus, nephropathy, serum urea, uric acid, urine albumin.

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The Role of Uric Acid in Acute and Chronic Coronary Syndromes

Cited by 39 publications

References 75 publications

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction

Cross-sectional association between gamma-glutamyl transferase and hyperuricaemia: the China Multi-Ethinic Cohort (CMEC) study

To Evaluate the Level of Serum Cholesterol, Uric Acid, Urea, Creatinine and Urine Albumin in Diabetic Patients from Peshawar

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