Assessing levels of uric acid and other cardiovascular markers in prehypertensive and hypertensive adults.

INTRODUCTION: Although some studies have reported the association between uric acid (UA) and hypertension, evidence on prehypertension is still lacking. Therefore, the objective of this study was to determine the levels of UA and other cardiovascular markers among prehypertensive and hypertensive patients and assess their risk for developing arterial hypertension. METHODS: 157 individuals were recruited: 67 normotensive, 23 pre-hypertensive and 67 hypertensive. Blood samples were collected to measure biochemical parameters and anthropometric measurements and blood pressure were evaluated. We calculated the product of lipid accumulation and the visceral adiposity index to assess cardiovascular risk. RESULTS: Our data showed an increase in UA levels in normotensives (4.9±1.3mg/dL), prehypertensives (5.2±1.3mg/dL) and hypertensives (5.9±1.6mg/dL) (p=0.004). We found a higher frequency of hyperuricemia in the hypertensive group (34.3%) than in the normotensive group (13.4%, p<0.05). Hypertensive volunteers had lower levels of HDL-C (p=0.004 and p=0.003) and higher body mass indexes (p<0.001 and p=0.007), glucose (p<0.001 and p=0.033), triglycerides (p=0.001 and p=0.005), visceral adiposity index (p<0.001 and p=0.002) and lipid accumulation product (p<0.001 and p=0.007) than normotensive and prehypertensive participants. We also observed that individuals with UA≥6.2mg/dL had an increased risk of hypertension of 4.77 (p=0.003) compared to individuals with levels≤4.3mg/dL. CONCLUSION: Our results showed that UA is associated with increased blood pressure and unfavorable changes in anthropometric and biochemical parameters, which represent risk factors for hypertension and cardiovascular diseases.

Development and characterization of liposomal formulations containing sesquiterpene lactones for the treatment of chronic gout.

Gout and hyperuricemia are characterized by high uric acid levels, and their treatment involves medications that have adverse effects. In this study, we evaluated oral liposomal formulations with eremantholide C and goyazensolide as a novel approach to reduce the toxicity associated with these substances while maintaining their anti-hyperuricemic activity. We characterized the formulations and evaluated them based on encapsulation efficiency and stability over 12 months and under simulated physiological environments. We determined the toxicity of the liposomal formulations in Caco-2 cells and the anti-hyperuricemic activity in rats. The formulations exhibited nanometric size, a narrow size distribution, and a negative zeta potential, indicating their stability and uniformity. The efficient encapsulation of the sesquiterpene lactones within the liposomes emphasizes their potential for sustained release and therapeutic efficacy. Stability evaluation revealed a small decrease in the eremantholide C concentration and a remarkable stability in the goyazensolide concentration. In Caco-2 cells, the liposomes did not exert toxicity, but did exhibit an antiproliferative effect. In vivo assays demonstrated that the liposomes reduced serum uric acid levels. Our study represents an advancement in gout and hyperuricemia treatment. The liposomal formulations effectively reduced the toxicity associated with the sesquiterpene lactones while maintaining their therapeutic effects.

Adherence to the Dietary Approaches to Stop Hypertension (DASH) and Serum Urate Concentrations: A Longitudinal Analysis from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

BACKGROUND: Increased serum urate (SU) and hyperuricemia (HU) are associated with chronic noncommunicable diseases and mortality. SU concentrations are affected by several factors, including diet, and are expected to rise with age. We investigated whether the Dietary Approaches to Stop Hypertension (DASH) diet alter this trend. OBJECTIVE: The objective was to assess whether adherence to the DASH diet predicts a longitudinal change in SU concentrations and risk of HU in 8 y of follow-up. METHODS: Longitudinal analyses using baseline (2008-2010, aged 35-74 y), second (2012-2014), and third (2016-2018) visits data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The inclusion criteria were having complete food frequency questionnaire (FFQ) and urinary sodium measurement, in addition to having SU measurement at the 1st visit and at least 1 of the 2 follow-up visits. For the HU incidence analyses, participants had also to be free from HU at baseline. The final samples included 12575 individuals for the SU change analyses and 10549 for the HU incidence analyses. Adherence to DASH diet was assessed as continuous value. HU was defined as SU>6.8 mg/dL and/or urate-lowering therapy use. Mixed-effect linear and Poisson regressions (incidence rate ratio [IRR] and 95% confidence interval [CI]) were used in the analyses, adjusted for confounders. RESULTS: The mean age was 51.4 (8.7) y, and 55.4% were females. SU means (standard deviation) were 5.4 (1.4) at 1st visit, 5.2 (1.4) at 2nd visit, and 5.1(1.3) mg/dL at 3rd visit. The HU incidence rate was 8.87 per 1000 person-y. Each additional point in adherence to the DASH diet accelerated SU decline (P< 0.01) and lowered the incidence of HU by 4.3% (IRR: 0.957; 95% CI: 0.938,0.977) in adjusted model. CONCLUSION: The present study findings reinforce the importance of encouraging the DASH diet as a healthy dietary pattern to control and reduce the SU concentrations and risk of HU.

The potential relationship between uric acid and the recovery in sudden sensorineural hearing loss.

OBJECTIVE: Serum uric acid is proven to be associated with chronic hearing loss, but its effect on Sudden Sensorineural Hearing Loss (SSNHL) is unclear. This study aims to evaluate the prognostic values of serum uric acid levels in SSNHL patients. METHODS: The clinical records of SSNHL patients were retrospectively reviewed. Patients were divided into different groups based on hearing recovery and audiogram type, and uric acid levels were compared. Based on uric acid levels, patients were categorized into normouricemia and hyperuricemia groups, and clinical features and hearing recovery were evaluated. Univariate and multivariate analyses were performed to identify prognostic factors. RESULTS: In total, 520 SSNHL patients were included in this study, including 226 females and 294 males. In female patients, 186 patients were included in the normouricemia group, and 40 patients were enrolled in the hyperuricemia group. Significant differences were observed in uric acid levels, Total Cholesterol (TC), rate of complete recovery, and slight recovery between the two groups. In male patients, 237 subjects were categorized into the normouricemia group, and 57 patients were included in the hyperuricemia group. The rate of complete recovery and slight recovery was lower in the hyperuricemia group compared to the normouricemia group. All patients were further divided into good recovery and poor recovery groups based on hearing outcomes. The uric acid levels, initial hearing threshold, rate of hyperuricemia, and TC were lower in the good recovery group than the poor recovery group both in female and male patients. Binary logistic regression results showed that uric acid levels, initial hearing threshold, and hyperuricemia were associated with hearing recovery. CONCLUSION: Hyperuricemia might be an independent risk factor for hearing recovery in SSNHL patients. Serum uric acid and initial hearing threshold possibly affected the hearing outcome in males and females with SSNHL. LEVEL OF EVIDENCE: Level 4.

Relationship between hyperuricemia, HSP70 and NLRP3 inflammasome in arterial hypertension.

Arterial hypertension is the most important cardiovascular risk factor in chronic non-communicable diseases and is estimated to be responsible for 10.4 million deaths annually. The global prevalence of hypertension is 30% and the majority of people with hypertension do not have a clear identifiable cause and are considered to have primary hypertension. Experimental and clinical investigations from several research groups, including ours, have established that inflammation and autoimmune reactivity play a role in the sodium retention and hemodynamic responses that drive primary hypertension. Hyperuricemia and heat stress proteins (HSP), particularly HSP70, are both associated with the activation of innate immunity that plays a role in the development of inflammatory reactivity in the hypertensive patient. Clinical studies have shown an association between the expression of HSP70 and anti-HSP70 antibodies and primary hypertension. This brief review aims to examine the interrelation between hyperuricemia and extracellular overexpression of HSP70 in the activation of the inflammasome that may have a central role in the pathophysiology of primary hypertension.

La hipertensión arterial es el factor de riesgo cardiovascular más importante de las enfermedades crónicas no transmisibles y se estima que es responsable de 10.4 millones de muertes al año. La prevalencia mundial de la hipertensión es del 30%; la mayoría de las personas con hipertensión no tienen una causa claramente identificable y se considera que tienen hipertensión primaria. Las investigaciones experimentales y clínicas de varios grupos de investigación, incluido el nuestro, han establecido que la inflamación y la reactividad autoinmune desempeñan un papel en la retención de sodio y las respuestas hemodinámicas que provocan la hipertensión primaria. La hiperuricemia y las proteínas del estrés por calor (HSP), particularmente HSP70, están asociadas con la activación de la inmunidad innata que juega un papel en el desarrollo de la reactividad inflamatoria en pacientes hipertensos. Estudios clínicos han demostrado asociación entre la expresión de HSP70 y anticuerpos anti-HSP70 y la hipertensión arterial primaria Esta breve revisión tiene como objetivo examinar la interrelación entre la hiperuricemia y la sobreexpresión extracelular de HSP70 en la activación del inflamasoma, así como su probable papel central en la fisiopatología de la hipertensión primaria.

Autosomic Dominant Tubulo Interstitial Kidney Disease: Case Report of a New Variant of the UMOD Gene.

Autosomal dominant tubulointerstitial kidney disease (ADTKD) is a low-prevalence pathology mainly associated with pathogenic variants of the UMOD gene. It is characterized by the progressive deterioration of renal function, associated with hyperuricemia and accompanied by a family history of gout or hyperuricemia. Often, clinical variability and a lack of molecular testing results in diagnostic failure to determine the ADTKD-UMOD association. Case presentation: We describe the case of a 14-year-old male who presented to the nephrology service with hyperuricemia, renal ultrasonographic changes, and progression to chronic kidney disease in 4 years. He had a family history of hyperuricemia. A probable genetic disease with an autosomal dominant inheritance pattern was considered, confirmed by the presence of a probably pathogenic variant of the UMOD gene, not previously reported in the literature. Conclusion: The investigation of this case led to the identification of a new variant in the UMOD gene, broadening the spectrum of known variants for ADTKD-UMOD. In addition, in this case, a comprehensive anamnesis, that takes into account family history, was the key point to carry out genetic tests that confirmed the diagnosis suspicion. Directed Genetic tests are currently an essential diagnostic tool and should be performed as long as they are available and there is an indication to perform them.

Association between hyperuricemia and hypertension and the mediatory role of obesity: a large cohort study in China.

OBJECTIVE: This study aimed to investigate the sex-specific association between hyperuricemia and the risk of hypertension and whether obesity mediates this association. METHODS: This study included 31,395 (47.0% women) adults without hypertension, cardiovascular disease, or cancer at baseline who completed at least one follow-up annual examination between 2009 and 2016. Cox regression models were performed to calculate hazard ratios and 95% confidence intervals. Mediation analysis was conducted to estimate the effect of body mass index on the association between hyperuricemia and hypertension. RESULTS: During a median 2.9-year follow-up, hyperuricemia was significantly associated with a higher risk of hypertension (HR 1.15, 95%CI 1.07-1.24 for all participants; HR 1.12, 95%CI 1.03-1.22 for men; and HR 1.23, 95%CI 1.02-1.48 for women) after adjustment for potential confounders. Additional adjustment for body mass index attenuated this association (HR 1.09, 95%CI 1.08-1.10 for all participants; HR 1.07; 95%CI 0.98-1.16 for men; HR 1.18; 95%CI 0.96-1.44 for women). Mediation analysis showed that BMI partially mediated the relationship between hyperuricemia and incident hypertension (indirect effect HR 1.09, 95%CI 1.08-1.10; direct effect: HR 1.08, 95%CI 1.02-1.15). The percentage of the mediation effect was 53.2% (95%CI 37.9-84.5). CONCLUSION: Hyperuricemia is associated with a risk of hypertension in both sexes, and BMI partially mediates hyperuricemia-related incident hypertension.

Concurrence of hyperinsulinemia and hyperuricemia significantly augmented all-cause mortality.

BACKGROUND AND AIMS: Hyperinsulinemia and hyperuricemia are known to increase the risk of mortality due to certain complications, such as Type 2 Diabetes and cardiovascular disease. However, despite their common comorbidities, their combined effect has not been evaluated. The study's aim was to evaluate the combine effect of hyperinsulinemia and hyperuricemia on all-cause mortality. METHODS AND RESULTS: NHANES datasets (cycles 2003-2018) were examined. Differences between groups were evaluated using Rao-Scott Chi-square and General Linear Model for categorical and continuous data, respectively. Hazard Ratios (HR) were calculated using Cox regression with 95% confidence intervals (95%CI). There was significant difference (p < 0.05) in the mortality rate between the control group (2.3 ± 0.2%), the hyperinsulinemia only group (3.1 ± 0.3%), the hyperuricemia only group (4.0 ± 0.8%), and both conditions (5.1 ± 0.8%). Individually, when compared to the control group, there was a significant increase in mortality risk for hyperinsulinemia (HR: 1.50, 95%CI: 1.12-2.01, p = 0.007) and hyperuricemia (HR: 1.80, 95%CI:1.18-2.75, p = 0.006). However, when both conditions were present, there appeared an additive effect in the mortality risk (HR: 2.32, 95%CI: 1.66-3.25, p < 0.001). When stratified by BMI class, only normal weight participants presented with a significant risk (HR: 7.00, 95%CI: 2.50-20.30, p < 0.001). Also, when stratified by age, only participants older than 40 years presented a risk (HR: 2.22, 95%CI: 1.56-3.16, p < 0.001). CONCLUSION: Alone, hyperuricemia and hyperinsulinemia significantly increased the mortality rate; however, the combined presence of both pathologies was associated with a significantly augmented mortality rate. Normal weight participant or that were >40 years old had a greater risk for mortality.

Analysis of the prevalence and influencing factors of hyperuricemia in children and adolescents aged 6-17 years in northeastern Sichuan Province.

OBJECTIVE: To investigate the factors influencing hyperuricemia in children and adolescents and to provide a scientific basis for early prevention and treatment. METHODS: A retrospective study (2017-2021) of the prevalence of hyperuricemia in children and adolescents was conducted, and the factors influencing hyperuricemia were analyzed by multi-factor logistic regression. RESULTS: The overall prevalence of hyperuricemia in children and adolescents aged 6-17 years in northeast Sichuan Province was 55.12% (8676/15,739), of which 60.68% (5699/9392) in boys and 46.90% (2977/6347) in girls; the prevalence of hyperuricemia from 2017 to 2021 was 52.40% ( 1540/2939), 52.56% (1642/3124), 52.11% (1825/3502), 58.33% (1691/2899), and 60.40% (1978/3275), respectively; the prevalence rates of 6-12 years old were 48.92% (864/1766), 50.46% (769/1524), and 52.73% (685/1299), 56.99% (693/1216), 35.46% (444/1252), 46.33% (524/1131), 60.50% (720/1190), and 66.82% (739/1106), 58.95% (652/1106), and 62.17% (761/1106) for 13-17 years old, respectively, 62.17% (761/1224), 63.19% (855/1353), and 61.70% (970/1572), respectively. Logistic regression showed that the prevalence of male (OR = 1.451, 95% CI 1.034 to 2.035, p = 0.031), age (OR = 1.074, 95% CI 1.024 to 1.126, p = 0.003), overweight/obesity (OR = 1.733, 95% CI 1.204∼2.494, p = 0.003), blood creatinine (OR = 1.018, 95% CI 1.005∼1.031, p = 0.007), triglycerides (OR = 1.450, 95% CI 1.065∼1.972, p = 0.018), blood calcium (OR = 6.792, 95% CI 1.373∼33.594, p = 0.019), and systolic blood pressure (OR = 1.037, 95% CI 1.018∼1.057, p < 0.001) were influential factors for the development of hyperuricemia. CONCLUSION: The prevalence of hyperuricemia was higher in children and adolescents aged 6-17 years in northeastern Sichuan Province, with a higher prevalence in boys than in girls, and the prevalence increased with age.

Senescent CD4+CD28null cells are increased in chronic hyperuricemia, show aberrant effector phenotypes, and are reversed after allopurinol therapy: a proof-of-concept pilot study.

To characterize CD4+CD28null cells in chronic hyperuricemia and investigate whether allopurinol could restore CD28 expression and the balance of T helper phenotypes. Asymptomatic individuals with chronic hyperuricemia and ultrasonographic findings evocative of urate deposition in the joints. Age- and gender-matched normouricemic individuals were also studied. Oral allopurinol at 150 mg/day for 4 weeks, followed by 300 mg/day through week 12. Color-flow cytometry on peripheral blood mononuclear cells (PBMC) with antibodies against CD4, CD28, T-bet (Th1), GATA-3 (Th2), and RORγt (Th17). Six patients (five men, median age of 53 years) and seven controls were studied. At baseline, hyperuricemic patients had more CD4+CD28null/CD4+ cells than normouricemic subjects (36.8% vs. 6.1%; p = 0.001), with a predominance of T-bet+ cells (98.5% vs. 6.6%; p = 0.001) and few RORγt+ cells (0.7% vs. 89.4%; p = 0.014). In hyperuricemic patients, the number of CD4+ cells/10,000 PBMC was similar before and after allopurinol (3378 vs. 3954; p = 0.843). Conversely, CD4+CD28null cells decreased from 36.8% (23.0-43.7) to 15.8% (4.7-28.1; p = 0.031). CD4+CD28nullT-bet+ cells decreased from 98.5% (95.0-99.4) to 88.3% (75.2-98.9; p = 0.062), CD4+CD28nullGATA-3+ cells increased from 0% (0-4.0) to 2.8% (0.1-15.6; p = 0.156), and CD4+CD28nullRORγt+ cells increased from 0.7% (0.4-7.0) to 4.5% (1.3-28.1; p = 0.031). The CD4+CD28null cell subset is abnormally expanded in chronic hyperuricemia, despite the absence of overt urate-related disease. Allopurinol may partially restore CD28 expression on CD4+ cells while enhancing the homeostatic balance of T helper phenotypes. ClinicalTrials.gov, number NCT04012294.

Genetic and Epigenetic Regulation of the Innate Immune Response to Gout.

Gout is a disease caused by uric acid (UA) accumulation in the joints, causing inflammation. Two UA forms - monosodium urate (MSU) and soluble uric acid (sUA) have been shown to interact physically with inflammasomes, especially with the nod-like receptor (NLR) family pyrin domain containing 3 (NLRP3), albeit the role of the immune response to UA is poorly understood, given that asymptomatic hyperuricemia does also exist. Macrophage phagocytosis of UA activate NLRP3, lead to cytokines release, and ultimately, lead to chemoattract neutrophils and lymphocytes to the gout flare joint spot. Genetic variants of inflammasome genes and of genes encoding their molecular partners may influence hyperuricemia and gout susceptibility, while also influencing other comorbidities such as metabolic syndrome and cardiovascular diseases. In this review, we summarize the inflammatory responses in acute and chronic gout, specifically focusing on innate immune cell mechanisms and genetic and epigenetic characteristics of participating molecules. Unprecedently, a novel UA binding protein - the neuronal apoptosis inhibitor protein (NAIP) - is suggested as responsible for the asymptomatic hyperuricemia paradox.Abbreviation: ß2-integrins: leukocyte-specific adhesion molecules; ABCG2: ATP-binding cassete family/breast cancer-resistant protein; ACR: American college of rheumatology; AIM2: absent in melanoma 2, type of pattern recognition receptor; ALPK1: alpha-protein kinase 1; ANGPTL2: angiopoietin-like protein 2; ASC: apoptosis-associated speck-like protein; BIR: baculovirus inhibitor of apoptosis protein repeat; BIRC1: baculovirus IAP repeat-containing protein 1; BIRC2: baculoviral IAP repeat-containing protein 2; C5a: complement anaphylatoxin; cAMP: cyclic adenosine monophosphate; CARD: caspase activation and recruitment domains; CARD8: caspase recruitment domain-containing protein 8; CASP1: caspase 1; CCL3: chemokine (C-C motif) ligand 3; CD14: cluster of differentiation 14; CD44: cluster of differentiation 44; Cg05102552: DNA-methylation site, usually cytosine followed by guanine nucleotides; contains arbitrary identification code; CIDEC: cell death-inducing DNA fragmentation factor-like effector family; CKD: chronic kidney disease; CNV: copy number variation; CPT1A: carnitine palmitoyl transferase - type 1a; CXCL1: chemokine (CXC motif) ligand 1; DAMPs: damage associated molecular patterns; DC: dendritic cells; DNMT(1): maintenance DNA methyltransferase; eQTL: expression quantitative trait loci; ERK1: extracellular signal-regulated kinase 1; ERK2: extracellular signal-regulated kinase 2; EULAR: European league against rheumatism; GMCSF: granulocyte-macrophage colony-stimulating factor; GWAS: global wide association studies; H3K27me3: tri-methylation at the 27th lysine residue of the histone h3 protein; H3K4me1: mono-methylation at the 4th lysine residue of the histone h3 protein; H3K4me3: tri-methylation at the 4th lysine residue of the histone h3 protein; HOTAIR: human gene located between hoxc11 and hoxc12 on chromosome 12; IκBα: cytoplasmatic protein/Nf-κb transcription inhibitor; IAP: inhibitory apoptosis protein; IFNγ: interferon gamma; IL-1ß: interleukin 1 beta; IL-12: interleukin 12; IL-17: interleukin 17; IL18: interleukin 18; IL1R1: interleukin-1 receptor; IL-1Ra: interleukin-1 receptor antagonist; IL-22: interleukin 22; IL-23: interleukin 23; IL23R: interleukin 23 receptor; IL-33: interleukin 33; IL-6: interleukin 6; IMP: inosine monophosphate; INSIG1: insulin-induced gene 1; JNK1: c-jun n-terminal kinase 1; lncRNA: long non-coding ribonucleic acid; LRR: leucine-rich repeats; miR: mature non-coding microRNAs measuring from 20 to 24 nucleotides, animal origin; miR-1: miR followed by arbitrary identification code; miR-145: miR followed by arbitrary identification code; miR-146a: miR followed by arbitrary identification code, "a" stands for mir family; "a" family presents similar mir sequence to "b" family, but different precursors; miR-20b: miR followed by arbitrary identification code; "b" stands for mir family; "b" family presents similar mir sequence to "a" family, but different precursors; miR-221: miR - followed by arbitrary identification code; miR-221-5p: miR followed by arbitrary identification code; "5p" indicates different mature miRNAs generated from the 5' arm of the pre-miRNA hairpin; miR-223: miR followed by arbitrary identification code; miR-223-3p: mir followed by arbitrary identification code; "3p" indicates different mature miRNAs generated from the 3' arm of the pre-miRNA hairpin; miR-22-3p: miR followed by arbitrary identification code, "3p" indicates different mature miRNAs generated from the 3' arm of the pre-miRNA hairpin; MLKL: mixed lineage kinase domain-like pseudo kinase; MM2P: inductor of m2-macrophage polarization; MSU: monosodium urate; mTOR: mammalian target of rapamycin; MyD88: myeloid differentiation primary response 88; n-3-PUFAs: n-3-polyunsaturated fatty-acids; NACHT: acronym for NAIP (neuronal apoptosis inhibitor protein), C2TA (MHC class 2 transcription activator), HET-E (incompatibility locus protein from podospora anserina) and TP1 (telomerase-associated protein); NAIP: neuronal apoptosis inhibitory protein (human); Naip1: neuronal apoptosis inhibitory protein type 1 (murine); Naip5: neuronal apoptosis inhibitory protein type 5 (murine); Naip6: neuronal apoptosis inhibitory protein type 6 (murine); NBD: nucleotide-binding domain; Nek7: smallest NIMA-related kinase; NET: neutrophil extracellular traps; Nf-κB: nuclear factor kappa-light-chain-enhancer of activated b cells; NFIL3: nuclear-factor, interleukin 3 regulated protein; NIIMA: network of immunity in infection, malignancy, and autoimmunity; NLR: nod-like receptor; NLRA: nod-like receptor NLRA containing acidic domain; NLRB: nod-like receptor NLRA containing BIR domain; NLRC: nod-like receptor NLRA containing CARD domain; NLRC4: nod-like receptor family CARD domain containing 4; NLRP: nod-like receptor NLRA containing PYD domain; NLRP1: nucleotide-binding oligomerization domain, leucine-rich repeat, and pyrin domain containing 1; NLRP12: nucleotide-binding oligomerization domain, leucine-rich repeat, and pyrin domain containing 12; NLRP3: nod-like receptor family pyrin domain containing 3; NOD2: nucleotide-binding oligomerization domain; NRBP1: nuclear receptor-binding protein; Nrf2: nuclear factor erythroid 2-related factor 2; OR: odds ratio; P2X: group of membrane ion channels activated by the binding of extracellular; P2X7: p2x purinoceptor 7 gene; p38: member of the mitogen-activated protein kinase family; PAMPs: pathogen associated molecular patters; PBMC: peripheral blood mononuclear cells; PGGT1B: geranylgeranyl transferase type-1 subunit beta; PHGDH: phosphoglycerate dehydrogenase; PI3-K: phospho-inositol; PPARγ: peroxisome proliferator-activated receptor gamma; PPARGC1B: peroxisome proliferative activated receptor, gamma, coactivator 1 beta; PR3: proteinase 3 antigen; Pro-CASP1: inactive precursor of caspase 1; Pro-IL1ß: inactive precursor of interleukin 1 beta; PRR: pattern recognition receptors; PYD: pyrin domain; RAPTOR: regulatory associated protein of mTOR complex 1; RAS: renin-angiotensin system; REDD1: regulated in DNA damage and development 1; ROS: reactive oxygen species; rs000*G: single nuclear polymorphism, "*G" is related to snp where replaced nucleotide is guanine, usually preceded by an id number; SLC2A9: solute carrier family 2, member 9; SLC7A11: solute carrier family 7, member 11; SMA: smooth muscular atrophy; Smac: second mitochondrial-derived activator of caspases; SNP: single nuclear polymorphism; Sp3: specificity protein 3; ST2: serum stimulation-2; STK11: serine/threonine kinase 11; sUA: soluble uric acid; Syk: spleen tyrosine kinase; TAK1: transforming growth factor beta activated kinase; Th1: type 1 helper T cells; Th17: type 17 helper T cells; Th2: type 2 helper T cells; Th22: type 22 helper T cells; TLR: tool-like receptor; TLR2: toll-like receptor 2; TLR4: toll-like receptor 4; TNFα: tumor necrosis factor alpha; TNFR1: tumor necrosis factor receptor 1; TNFR2: tumor necrosis factor receptor 2; UA: uric acid; UBAP1: ubiquitin associated protein; ULT: urate-lowering therapy; URAT1: urate transporter 1; VDAC1: voltage-dependent anion-selective channel 1.

Ultra-processed foods: Cross-sectional and longitudinal association with uric acid and hyperuricemia in ELSA-Brasil.

BACKGROUND AND AIMS: Food intake influences uric acid (UA) levels and hyperuricemia (HU), but evidence on the role of ultra-processed foods (UPFs) are scarce. The association between UPFs consumption and (1) HU prevalence and UA levels; (2) HU cumulative incidence; and (3) UA level change over a 4-year period was investigated. METHODS AND RESULTS: Cross-sectional and longitudinal analyses were performed using baseline (2008-2010, aged 35-74 years) and second visit (2012-2014) data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Participants with glomerular filtration rate <60 mL/min/1.73 m2, bariatric surgery, implausible caloric intake, and using urate-lowering therapy (ULT) at baseline were excluded (all analyses). Participants with HU at baseline were excluded from longitudinal analyses. UPFs consumption was assessed using a food frequency questionnaire (FFQ) and categorized by the NOVA classification system (100 g/day). HU was defined as UA≥6.8 mg/dL. Linear, logistic, and mixed-effect linear regressions investigated the associations between UPFs consumption and UA/HU, adjusted for covariates. The final samples included 13,923 (cross-sectional) and 10,517 (longitudinal) individuals. The prevalence of HU was 18.7%, and the cumulative incidence was 4.9%. Greater UPFs consumption was associated with a greater prevalence of HU (OR:1.025 95%CI: 1.006; 1.044) and higher UA levels (ß:0.024 95%CI: 0.016; 0.032). Every additional consumption of 100 g/day of UPFs raised the 4-year cumulative incidence of HU by 5.6% (95%CI: 1.021; 1.092). However, UPFs were not associated with the pace of UA level changes during the study period. CONCLUSION: The present study shows that greater UPFs consumption is associated with another deleterious health consequence: higher UA levels and the risk of having HU.

Hyperuricemia: an unrecognized risk factor for kidney-related sequelae in children with hemolytic uremic syndrome.

BACKGROUND: Chronic kidney-related sequelae after STEC-HUS occur in 20-40% of patients. Hyperuricemia (HU) may cause acute and chronic toxicity involving the kidneys. We retrospectively assessed if there was an association between the presence of HU during the acute illness and that of kidney-related sequelae in children with STEC-HUS. METHODS: Children with STEC-HUS who had clinical and laboratory data at 2 years of follow-up were included in this case-control study. Univariate and multivariate analyses were performed between patients with (cases) or without (controls) kidney-related sequelae to identify factors associated with outcomes, including different measures of serum uric acid (sUA) (baseline level, peak, and duration of HU). HU was defined as sUA > 8 mg/dL. RESULTS: Of 86 patients included, 77.9% had HU. Patients with sequelae (n = 41) had a higher prevalence of HU (41/41 vs. 26/45, p < 0.01), higher baseline leukocyte count, serum creatinine (sCr), and sUA levels as well as lower sodium than controls. During hospitalization, cases also had higher sCr peak, sUA peak and duration of HU, requirement and duration of dialysis, extrarenal complications, and hypertension. By multivariate analysis, after adjusting for length of dialysis, only duration of HU (p = 0.0005; OR 1.7, 95% CI 1.27-2.36) remained as an independent predictor of sequelae, with a best cutoff of 5.5 days (AUC 0.95, specificity 80%, sensitivity 100%). CONCLUSIONS: The presence of HU is a common finding in children with STEC-HUS and its duration during the acute stage was associated with kidney-related sequelae, regardless of the duration of dialysis. A higher resolution version of the Graphical abstract is available as Supplementary Information.

Nutritional, biochemical, and clinical determinants of hyperuricemia in systemic lupus erythematosus patients: Relationship with clinical and renal disease activity.

Systemic lupus erythematosus (SLE) is the prototypical autoimmune disease considered as an independent risk factor for mortality by cardiovascular disease. Currently, uric acid is described as a novel biomarker associated with cardiometabolic risk. However, nutritional and serum determinants that influence hyperuricemia development in autoimmune diseases have not been fully elucidated. This study aimed to assess the nutritional, biochemical, and cardiometabolic determinants of hyperuricemia and its relationship with clinical variables in SLE patients. A cross-sectional study was conducted in 167 SLE patients and 195 control subjects (CS). Nutrient intake, anthropometry, biochemical, and cardiometabolic indexes were evaluated. In SLE patients, adequate protein (OR = 0.4; p = 0.04) and carbohydrate (OR = 0.2; p = 0.01) intakes were associated with a lower risk of hyperuricemia. SLE patients with hyperuricemia presented a higher risk of clinical (OR = 2.2; p = 0.03) and renal activity (OR = 3.4; p < 0.01), as well as triglycerides ≥150 mg/dL (OR = 3.6; p < 0.01), hs-CRP ≥1 mg/L (OR = 3.1; p < 0.01), Kannel score ≥3 (OR = 2.5; p = 0.02), and BMI ≥25 kg/m2 (OR = 2.2; p = 0.02). Oppositely, serum levels of HDL-C ≥40 mg/dL (OR = 0.2; p < 0.01) were associated with a lower risk of hyperuricemia. According to the pharmacotherapy administered, prednisone treatment was associated with a high risk of hyperuricemia (OR = 4.7; p < 0.001). In contrast, the hydroxychloroquine treatment was associated with a lower risk of hyperuricemia (OR = 0.4; p = 0.02). In conclusion, SLE patients with hyperuricemia presented a high risk of clinical and renal activity as well as worse cardiometabolic status. Notably, an adequate intake of protein, carbohydrates, healthy HDL-C serum levels, and hydroxychloroquine treatment could be determinants of lower risk of hyperuricemia.

Effects of liquid extract from Plinia cauliflora fruits residues on Chinese hamsters biochemical parameters / Efeitos do extrato líquido de resíduos de frutos de Plinia cauliflora sobre os parâmetros bioquímicos de hamsters chineses

Plinia cauliflora (Mart.) Kausel, popularly known as jabuticaba, is rich in polyphenols. Phenolic compounds exhibit several biological properties, which reflect on biomarkers such as biochemical parameters. In the present study, we evaluated the plasmatic levels of glucose, total cholesterol, HDL-cholesterol, triglycerides, and uric acid of Chinese hamsters fed for 45 days with a regular diet or cholesterol-enriched diet supplemented with a liquid extract obtained from P. cauliflora fruits residues standardized in ellagic acid and total phenolic compounds. The results showed that the concentrated extract obtained from jabuticaba residues increased the glycemia of animals fed with a regular diet and reduced the plasmatic uric acid levels of animals fed with a cholesterol-enriched diet. Since hyperuricemia is considered to be a significant risk factor of metabolic disorders and the principal pathological basis of gout, the liquid extract from P. cauliflora fruits residues would be a promising candidate as a novel hypouricaemic agent for further investigation.(AU)

Plinia cauliflora (Mart.) Kausel, popularmente conhecida como jabuticaba, é rica em polifenois. Os compostos fenólicos apresentam diversas propriedades biológicas, que refletem em biomarcadores, como os parâmetros bioquímicos. No presente estudo, avaliamos os níveis plasmáticos de glicose, colesterol total, HDL-colesterol, triglicerídeos e ácido úrico em hamsters chineses alimentados por 45 dias com dieta regular ou dieta enriquecida com colesterol suplementada com extrato líquido obtido de resíduos de frutos de P. cauliflora padronizado em ácido elágico e compostos fenólicos totais. Os resultados mostraram que o extrato concentrado obtido dos resíduos de jabuticaba aumentou a glicemia dos animais alimentados com dieta regular e reduziu os níveis plasmáticos de ácido úrico dos animais alimentados com dieta rica em colesterol. Uma vez que a hiperuricemia é considerada um fator de risco significativo de distúrbios metabólicos e a principal base patológica da gota, o extrato líquido dos resíduos de frutas de P. cauliflora seria um candidato promissor como um novo agente hipouricêmico para investigação posterior.(AU)

Effects of liquid extract from Plinia cauliflora fruits residues on Chinese hamsters biochemical parameters / Efeitos do extrato líquido de resíduos de frutos de Plinia cauliflora sobre os parâmetros bioquímicos de hamsters chineses

Plinia cauliflora (Mart.) Kausel, popularly known as jabuticaba, is rich in polyphenols. Phenolic compounds exhibit several biological properties, which reflect on biomarkers such as biochemical parameters. In the present study, we evaluated the plasmatic levels of glucose, total cholesterol, HDL-cholesterol, triglycerides, and uric acid of Chinese hamsters fed for 45 days with a regular diet or cholesterol-enriched diet supplemented with a liquid extract obtained from P. cauliflora fruits residues standardized in ellagic acid and total phenolic compounds. The results showed that the concentrated extract obtained from jabuticaba residues increased the glycemia of animals fed with a regular diet and reduced the plasmatic uric acid levels of animals fed with a cholesterol-enriched diet. Since hyperuricemia is considered to be a significant risk factor of metabolic disorders and the principal pathological basis of gout, the liquid extract from P. cauliflora fruits residues would be a promising candidate as a novel hypouricaemic agent for further investigation.

Plinia cauliflora (Mart.) Kausel, popularmente conhecida como jabuticaba, é rica em polifenois. Os compostos fenólicos apresentam diversas propriedades biológicas, que refletem em biomarcadores, como os parâmetros bioquímicos. No presente estudo, avaliamos os níveis plasmáticos de glicose, colesterol total, HDL-colesterol, triglicerídeos e ácido úrico em hamsters chineses alimentados por 45 dias com dieta regular ou dieta enriquecida com colesterol suplementada com extrato líquido obtido de resíduos de frutos de P. cauliflora padronizado em ácido elágico e compostos fenólicos totais. Os resultados mostraram que o extrato concentrado obtido dos resíduos de jabuticaba aumentou a glicemia dos animais alimentados com dieta regular e reduziu os níveis plasmáticos de ácido úrico dos animais alimentados com dieta rica em colesterol. Uma vez que a hiperuricemia é considerada um fator de risco significativo de distúrbios metabólicos e a principal base patológica da gota, o extrato líquido dos resíduos de frutas de P. cauliflora seria um candidato promissor como um novo agente hipouricêmico para investigação posterior.

Chronic kidney disease of nontraditional causes in central Panama.

BACKGROUND: Over the last three decades, the mesoamerican region has seen an increase in the frequency of patients diagnosed with Chronic Kidney Disease of nontraditional causes (CKDnt) also known as Meso-American Nephropathy (MeN). A region with an increased frequency of patients with Chronic Kidney Disease (CKD) has been identified in central Panama. The present study aims to characterize the clinical presentation of patients with CKDnt in an understudied population of the central region of Panama and to compare them with patients with traditional chronic kidney disease (CKDt). METHODS: A retrospective descriptive study was conducted in a nephrology reference hospital in the central provinces of Herrera and Los Santos, comparing a group of 15 patients with CKDnt to 91 patients with CKDt. Sociodemographic variables, personal history, laboratory parameters, and of renal ultrasound were compared. RESULTS: Patients with CKDnt had a median age of 58 years (IQR: 52-61), significantly lower (P < 0.001) than patients with CKDt with a median age of 71 years (IQR: 64-78). Patients with CKDnt had a history of being agricultural (60%) and transportation (20%) workers, significantly higher than patients with CKDt (15%, P < 0.001 and 0%, P < 0.01 respectively). Renal atrophy and hyperuricemia are significant clinical markers of CKDnt (P < 0.001 and P < 0.05 respectively). CONCLUSION: To our knowledge, this is the first study in Panama to investigate the clinical presentation of patients with CKDnt and one of the few in Central America and the world that compares them with patients with CKDt. In central Panama the typical CKDnt patient is a male in his 50 s who is primarily engaged in agriculture or as a public transport driver. Renal atrophy and hyperuricemia are significant clinical markers of CKDnt. Further studies are needed to help understand the common determinants and risk factors for CKDnt development in Panama and Mesoamerica.

Metabolic syndrome in people with HIV from Guatemala: analysis of components and risk factors.

BACKGROUND: People with HIV (PWH) in Latin America are at a greater risk of developing comorbidities due to the increasing burden of obesity and metabolic syndrome in the region. We explored the associations between social, cardiovascular and HIV-related risk factors with metabolic syndrome in PWH from Guatemala. METHODS: Cross-sectional study analyzing demographic, clinical and laboratory data from PWH. Metabolic syndrome diagnosis and components are defined by the harmonized Joint Scientific Statement criteria. Data were collected from July 2019 to March 2020 and analyzed using correlations and logistic regression. RESULTS: Median age was 39 years [IQR 31-48], 56.8% of participants were male and 31.5% (n = 266, 95% CI 0.28-0.34) had metabolic syndrome. Age (adjusted odds ratio (aOR): 1.03, 95% CI 1.02-1.05, p <0.001), urban dweller (aOR: 1.48, 95% CI 1.00-2.18, p = 0.049), low physical activity (aOR: 1.45, 95% CI 1.01-2.08, p = 0.046), hyperuricemia (aOR: 3.31, 95% CI 1.93-5.67, p <0.001), current CD4+ T cell count < 200 cells/mm3 (aOR: 1.96, 95% CI 1.19-3.23, p = 0.009), 6 months of efavirenz (aOR: 1.89, 95% CI 1.29-2.77, p = 0.001), and obesity (aOR: 37.0, 95% CI 7.70-178.2, p < 0.001) were independently associated with metabolic syndrome. CONCLUSIONS: Prevalence of metabolic syndrome in this study was high and driven mainly by social and cardiovascular risk factors such as age, urban dwelling, obesity, hyperuricemia and low physical activity. Efavirenz use and CD4 count were the only HIV-related factors associated with metabolic syndrome.

Serum uric acid is a predictive biomarker of incident metabolic syndrome at the Brazilian longitudinal study of adult Health (ELSA - Brasil).

AIM: To investigate whether serum uric acid (SUA) levels and hyperuricemia can be predictive biomarkers of incident metabolic syndrome(MS) among different body mass index(BMI) categories, and to investigate SUA cutoffs that best discriminate individuals with incident MS. METHODS: We analyzed 7,789 participants without MS at baseline of ELSA-Brasil study. Logistic regression models were performed to evaluate associations between incident MS and SUA levels/hyperuricemia, expressed by odds ratios(ORs) and confidence intervals(95 % CI). RESULTS: We found 1,646 incident MS cases after a median follow-up of 3.8[3.5-4.1] years. Incident MS was present among 8.3 % (n = 290) of participants with normal weight, 28.3 % (n = 850) with overweight, 39.8 % (n = 506) with obesity. Among incident MS participants of total sample, 33.0 % had hyperuricemia [SUA > 6.0 mg/dL (356.9 µmol/L)]. After all adjustments, SUA was independently prognostic of incident MS: for each 1 mg/dL increase in SUA the odds of incident MS were 45 % higher (OR1.45[CI95 %1.34-1.55 p <.01]). Associations were found for those presenting normal weight, overweight and obesity (OR1.43[CI95 %1.31-1.57 p <.01; OR1.22[CI95 %1.13-1.32 p <.01]; and OR1.16[CI95 %1.04-1.29 p <.05]) respectively. Hyperuricemia was independently associated with incident MS (OR1.88[CI95 %1.49-0.2.36 p <.01]). The SUA cut point level maximizing sensitivity and specificity in the discrimination of incident MS was 5.0 mg/dL. CONCLUSIONS: SUA level is an independent predictive biomarker of incident MS at all BMI categories.