scholarly journals Metabolic status in normal-weight and obese young individuals

2021 ◽  
Vol 20 (Supplement_1) ◽  
Author(s):  
V Chulkov ◽  
ES Gavrilova ◽  
VLS Chulkov ◽  
PE Tkachenko ◽  
EA Lenets
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiometabolic Risk ◽  
Normal Weight ◽  
Group Iv ◽  
Group Iii ◽  
Group I ◽  
Metabolically Healthy ◽  
Linear Correlations ◽  
Pai 1

Abstract Funding Acknowledgements Type of funding sources: None. Introduction. The concept of metabolic health in obese and normal-weight individuals remains controversial. It is important to study cardiometabolic risk factors in various phenotypes of normal-weigth and overweight/obese young individuals, which may be a practical and important step towards personalised medicine. Purpose. To estimate associations of cardiometabolic risk factors with adipokines in normal weight, overweight/obese young individuals. Methods. Study design: cross-sectional study. The study included 251 patients. All patients were divided into 4 groups: group I - metabolically healthy individuals with normal-weight aged 24.5 [22-31] years (n = 62); group II - metabolically unhealthy individuals with normal-weight aged 28 [23-38] years (n = 57); group III - metabolically healthy overweight/obesity aged 30 [24-36] years (n = 16); group IV - metabolically unhealthy overweight/obesity aged 36 [28.5-41] years (n = 116). We perfomed clinical examination, measured lipids, serum concentrations of glucose, insulin, leptin, adipokines, fibrinogen, type I plasminogen activator inhibitor (PAI-1). Data analysis was performed using the statistical package MedCalc Saftware (Version 19.6). p < 0.05 were taken as statistically significant.  Results. The highest concentrations of glucose, insulin and the insulin resistance index HOMA-IR were found in groups with a metabolically unhealthy profile (group II and IV) compared to group I and III. The highest concentrations of triglycerides, LDL, fibrinogen and PAI-1, as well as the lowest values of HDL, were found in group IV vs group I, II, III. The concentration of leptin was higher in metabolically unhealthy overweigt/obesity individuals, as well as lower concentration of adiponectin in group III and IV compared to group I and II. In young individuals with a metabolically healthy phenotype, we obtained positive linear correlations between PAI-1 and systolic (r = 0.337, p = 0.04) and diastolic blood pressure (r = 0.314, p = 0.022), as well as negative associations between waist circumference and HDL (r= - 0.374, p = 0.003). In young individuals with a metabolically unhealthy phenotype, the most significant positive linear correlations were found between the concentrations of leptin and fibrinogen (r = 0.490, p = 0.003), as well as systolic blood pressure and HDL (r = 0.307, p = 0.02). In the group of young adults with metabolically healthy obesity the only negative correlation between waist circumference and HDL cholesterol (r= - 0,599, p = 0,031) was revealed. The most significant correlations among metabolically unhealthy obese individuals were obtained between diastolic blood pressure and fibrinogen (r = 0.346, p < 0.001), as well as body mass index and leptin (r = 0.521, p < 0.001).  Conclusion. The most pronounced disorders of carbohydrate and lipid metabolism in combination with an imbalance of adipokines and prothrombotic changes in hemostasis were found in young individuals with metabolically unhealthy owerweight/obesity.

scholarly journals Association between adiposity indices and cardiometabolic risk factors among adults living in Puerto Rico

2011 ◽  
Vol 14 (10) ◽  
pp. 1714-1723 ◽  
Author(s):  
Cristina Palacios ◽  
Cynthia M Pérez ◽  
Manuel Guzmán ◽  
Ana P Ortiz ◽  
Alelí Ayala ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Puerto Rico ◽  
Cardiometabolic Risk ◽  
Fasting Blood Glucose ◽  
Cardiometabolic Risk Factors ◽  
Hs Crp ◽  
Obesity Indices ◽  
General Adiposity ◽  
Pai 1

AbstractObjectiveTo compare the general adiposity index (BMI) with abdominal obesity indices (waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR)) in order to examine the best predictor of cardiometabolic risk factors among Hispanics living in Puerto Rico.DesignSecondary analysis of measurements taken from a representative sample of adults. Logistic regression models (prevalence odds ratios (POR)), partial Pearson's correlations (controlling for age and sex) and receiver-operating characteristic (ROC) curves were calculated between indices of obesity (BMI, WC, WHR and WHtR) and blood pressure, HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), total cholesterol (TC):HDL-C, TAG, fasting blood glucose, glycosylated Hb, high-sensitivity C-reactive protein (hs-CRP), fibrinogen, plasminogen activator inhibitor-1 (PAI-1) and an aggregated measure of cardiometabolic risk.SettingHousehold study conducted between 2005 and 2007 in the San Juan Metropolitan Area in Puerto Rico.SubjectsA representative sample of 858 non-institutionalized adults.ResultsAll four obesity indices significantly correlated with the cardiometabolic risk factors. WHtR had the highest POR for high TC:HDL-C, blood pressure, hs-CRP, fibrinogen and PAI-1; WC had the highest POR for low HDL-C and high LDL-C and fasting blood glucose; WHR had the highest POR for overall cardiometabolic risk, TAG and glycosylated Hb. BMI had the lowest POR for most risk factors and smallest ROC curve for overall cardiometabolic risk.ConclusionsThe findings of the study suggest that general adiposity and abdominal adiposity are both associated with cardiometabolic risk in this population, although WC, WHR and WHtR appear to be slightly better predictors than BMI.

scholarly journals Determinants of new onset cardiometabolic risk among normal weight children

2019 ◽  
Vol 44 (4) ◽  
pp. 781-789
Author(s):  
Andraea Van Hulst ◽  
Marina Ybarra ◽  
Marie-Eve Mathieu ◽  
Andrea Benedetti ◽  
Gilles Paradis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Screen Time ◽  
Cardiometabolic Risk ◽  
Normal Weight ◽  
Healthy Children ◽  
Parental History ◽  
Increased Risk ◽  
History Of ◽  
Metabolically Healthy ◽  
New Onset

Abstract Objective To identify determinants for the development of “normal weight metabolically unhealthy” (NWMU) profiles among previously metabolically healthy normal weight children. Methods The QUALITY cohort comprises youth 8–10 years of age with a parental history of obesity (n = 630). Of these, normal weight children with no metabolic risk factors were identified and followed up 2 years later (n = 193). Children were classified as NWMU if they remained normal weight but developed at least one cardiometabolic risk factor. They were classified as normal weight metabolically healthy otherwise. Multivariable logistic regression models were used to identify whether adiposity (anthropometrics and DXA), lifestyle habits (physical activity, screen time, vegetables, and fruit- and sugar-sweetened beverages intake), fitness, and family history of cardiometabolic disease were associated with new onset NWMU. Results Of the 193 normal weight and metabolically healthy children at baseline, 45 (23%) became NWMU 2 years later (i.e., 48% had elevated HDL cholesterol, 13% had elevated triglycerides, and 4% had impaired fasting glucose). Changes in adiposity between baseline and follow-up were associated with an increased risk of NWMU for all adiposity measures examined (e.g., for ∆zBMI OR = 3.95; 95% CI: 1.76, 8.83). Similarly, a 2-year change in screen time was associated with incident NWMU status (OR = 1.24; 95% CI 1.04, 1.49). Conclusions Children who increase their adiposity levels as they enter puberty, despite remaining normal weight, are at risk of developing cardiometabolic risk factors. Studies examining long-term consequences of NWMU profiles in pediatrics are needed to determine whether changes in screening practice are warranted.

scholarly journals Physical Activity and Sedentary Patterns among Metabolically Healthy Individuals Living with Obesity

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Marika de Winter ◽  
Brittany V. Rioux ◽  
Jonathan G. Boudreau ◽  
Danielle R. Bouchard ◽  
Martin Sénéchal
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Cardiometabolic Risk Factors ◽  
Behavior Patterns ◽  
Metabolically Healthy

Background. Some individuals living with obesity are free from typical cardiometabolic risk factors and are termed metabolically healthy obese (MHO). The patterns of physical activity and sedentary behaviors among MHO are currently unknown. Methods. This study includes 414 youth (12–18 years old), 802 adults (19–44 years old), and 1230 older adults (45–85 years old) living with obesity from the 2003-2004 or 2005-2006 NHANES cycles. Time spent in bouts of 1, 5, 10, 30, and 60 minutes for moderate-to-vigorous physical activity (MVPA) and sedentary time was measured objectively using accelerometers. Participants were categorized as MHO if they had no cardiometabolic risk factors above the identified thresholds (triglycerides, high-density lipoprotein cholesterol, systolic blood pressure, diastolic blood pressure, and glucose). Results. The proportion of MHO was 19%, 14%, and 12% in youth, adults, and older adults, respectively. MHO adults displayed a higher 1-minute bout of MVPA per day compared to non-MHO (p=0.02), but no difference was observed for MVPA and sedentary behavior patterns for youth and older adults. When adjusted for confounders, all bouts of sedentary behavior patterns in youth were significantly associated with being classified as MHO. Conclusion. This study suggests that greater sedentary time is associated with cardiometabolic risk factors in youth even if they are physically active.

scholarly journals Relationship of Circulating Endothelial Cells With Obesity and Cardiometabolic Risk Factors in Children and Adolescents

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Erica G. Soltero ◽  
Anna N. Solovey ◽  
Robert P. Hebbel ◽  
Elise F. Palzer ◽  
Justin R. Ryder ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Endothelial Cells ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Cardiometabolic Risk ◽  
Severe Obesity ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Circulating Endothelial Cells

Background Circulating endothelial cells (CECs) reflect early changes in endothelial health; however, the degree to which CEC number and activation is related to adiposity and cardiovascular risk factors in youth is not well described. Methods and Results Youth in this study (N=271; aged 8–20 years) were classified into normal weight (body mass index [BMI] percentage <85th; n=114), obesity (BMI percentage ≥95th to <120% of the 95th; n=63), and severe obesity (BMI percentage ≥120% of the 95th; n=94) catagories. CEC enumeration was determined using immunohistochemical examination of buffy coat smears and activated CEC (percentage of vascular cell adhesion molecule‐1 expression) was assessed using immunofluorescent staining. Cardiovascular risk factors included measures of body composition, blood pressure, glucose, insulin, lipid profile, C‐reactive protein, leptin, adiponectin, oxidized low‐density lipoprotein cholesterol, carotid artery intima–media thickness, and pulse wave velocity. Linear regression models examined associations between CEC number and activation with BMI and cardiovascular risk factors. CEC number did not differ among BMI classes ( P >0.05). Youth with severe obesity had a higher degree of CEC activation compared with normal weight youth (8.3%; 95% CI, 1.1–15.6 [ P =0.024]). Higher CEC number was associated with greater body fat percentage (0.02 per percentage; 95% CI, 0.00–0.03 [ P =0.020]) and systolic blood pressure percentile (0.01 per percentage; 95% CI, 0.00–0.01 [ P =0.035]). Higher degree of CEC activation was associated with greater visceral adipose tissue (5.7% per kg; 95% CI, 0.4–10.9 [ P =0.034]) and non–high‐density lipoprotein cholesterol (0.11% per mg/dL; 95% CI, 0.01–0.21 [ P =0.039]). Conclusions Methods of CEC quantification are associated with adiposity and cardiometabolic risk factors and may potentially reflect accelerated atherosclerosis as early as childhood.

Abstract P192: Healthy Eating Index and Metabolically Healthy Obesity in U.S. Adolescents and Adults

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Sarah M Camhi ◽  
E. W Evans ◽  
Laura L Hayman ◽  
Alice H Lichtenstein ◽  
Aviva Must
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Healthy Eating ◽  
Cardiometabolic Risk ◽  
Healthy Eating Index ◽  
Cardiometabolic Risk Factors ◽  
Age Group ◽  
Adolescents And Adults ◽  
Metabolically Healthy ◽  
Component Scores

Purpose: Studies of dietary intake between metabolically healthy obese (MHO) and metabolically abnormal obese (MAO) cardiometabolic profiles have been limited to macronutrient and micronutrient composition in postmenopausal women. Thus, the purpose of this study is to determine whether diet quality, measured by total and component Healthy Eating Index 2005 (HEI-2005), is different between MHO and MAO in a nationally representative sample. Methods: Data from two National Health and Nutrition Examination Surveys (2007-2008; 2010-2011) were used to identify 133 obese (≥85th BMI %tile) adolescents 12-18 years, and 1164 obese (≥30kg/m2) adults 19-85 years. Adolescents and adults were classified as MAO if they had ≥2 cardiometabolic risk factors (adults: blood pressure ≥130/85 mmHg; triglycerides ≥150 mg/dL, HDL-C men <40, women <50 mg/dL; glucose ≥100 mg/dL; or on relevant medications; adolescents: triglycerides ≥150 mg/dL; HDL-C <40/50 mg/dL for boys/girls; blood pressure ≥90th %tile for age, gender, and height; glucose ≥100 mg/dL or on relevant medications), or MHO if they had <2 cardiometabolic risk factors. HEI-2005 scores were calculated from in-person 24-hour recall. Age group (12-18 years n=133, 19-44 years n=491; 45-85 years n=673) general linear regression models were used to determine whether total and component HEI-2005 scores differed between MHO and MAO after controlling for age, race, gender, NHANES wave, BMI and moderate to vigorous physical activity. Results: MHO adolescents (n=45; 72%) had better quality diets as indicated by a higher total HEI-2005 score compared with MAO (MHO vs. MAO, mean ± SE; p-value for difference: 55.2 ± 1.2 vs. 47.8 ± 2.6; p=0.005), higher milk scores (5.2 ± 0.4 vs. 3.5 ± 0.7; p=0.03), and higher scores from calories from solid fats, alcohol beverages, and added sugars (SoFAAS) (15.5 ± 0.7 vs. 11.6 ± 1.0, p=0.007). The SoFAAS component score is reverse coded where a higher score indicates better adherence to diet recommendations (<20%). Adults 19-44 years with MHO profiles (n=229, 46%) had higher HEI-2005 scores compared with MAO (54.0 ± 1.0 vs. 51.3 ± 0.8; p=0.008) and higher whole grain scores (0.9 ± 0.1 vs. 0.4 ± 0.07, p=0.003). No significant differences between MHO (n=127; 23%) vs. MAO in HEI-2005 scores or its component scores were observed in adults 45-85 years of age. Conclusion: MAO and MHO cardiometabolic profiles are characterized by differences in HEI-2005 total and component scores, though these differ by age group. Results suggest potential intervention targets which may improve cardiometabolic risk within obesity.

Hematopoietic Cell Transplantation-Specific Comorbidity Index (HCT-CI) Combined with Leukemic Risk Factors Predict Outcome of AML Patients after Allogeneic Stem Cell Transplantation Following Reduced Intensity Conditioning (RIC).

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 3276-3276
Author(s):  
Philipp Hemmati ◽  
Theis Terwey ◽  
Gero Massenkeil ◽  
Philipp D. le Coutre ◽  
Stefan Neuburger ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Cell Transplantation ◽  
Hematopoietic Cell Transplantation ◽  
Disease Status ◽  
High Risk Group ◽  
Group Iv ◽  
Group Iii ◽  
Group I ◽  
Comorbidity Index

Abstract Purpose: The hematopoietic cell transplantation-specific comorbidity index (HCT-CI) is used to assess the impact of comorbidities on the outcome of patients following alloSCT. Nonetheless, in AML patients leukemia-associated risk factors, i.e. cytogenetics, the presence of secondary (sAML) or therapy-related AML (tAML), or disease status prior to alloSCT, are highly relevant with regards to the long-term outcome. We therefore investigated whether the HCT-CI combined with the analysis of a defined set of AML-specific high risk factors may be used to predict the overall outcome of AML patients after alloSCT following RIC. Patients and Methods: 90 patients with high-risk AML (median age 51 (17 – 68) years) who underwent alloHSCT at our institution between 1999 and 2007 were retrospectively analyzed (median follow-up of the surviving patients: 16 (range 2 – 113) months). 50/90 patients (56%) were in CR1, 12/90 (13%) were in CR2, 2/90 (2%) were >CR2, and 26/90 (29%) had refractory or relapsed disease at the time of transplantation. 57/90 patients (63%) had de novo AML and 33/90 patients (37%) had either secondary AML (sAML) or therapy-related AML (tAML). Whereas 4/90 patients (4%) had a favorable risk karyotype, 51/90 patients (57%) or 29/90 patients (32%) had an intermediate risk or a poor risk karyotype as defined by the SWOG/ECOG criteria (Slovak et al., Blood 2000). Notably, 18/90 (20%) patients had an intermediate risk HCT-CI (1–2 points) and 72/90 patients (80%) had an unfavorable score (>2 points). As a preparative regimen all patients received RIC, which consisted of fludarabine 180 mg/m2 + oral busulfane 8 mg/kg + anti-thymocyte globulin 30 mg/kg. As stem cell source peripheral blood stem cells (PBSC) were used in 85/90 patients (94%), whereas 5/90 patients (6%) received bone marrow (BM). 38/90 patients (42%) were transplanted from a matched related donor. A matched unrelated or a mismatched unrelated donor was available in 36/90 patients (40%) or in 16/90 patients (18%). Graft-versus-host disease (GvHD) prophylaxis consisted of cyclosporin (CSA) + mycophenolate mofetil (MMF). Results: Projected overall survival (OS) or disease-free survival (DFS) of the whole cohort at 1, 3, and 5 years was 60%, 44%, and 44% or 56%, 46%, and 46%. 49/90 patients (54%) are in CCR. Causes of death were relapse (23/90 patients (26%)) or TRM (18/90 patients (20%)). Notably, the HCT-CI alone was not sufficient to predict the overall outcome our cohort of patients after RIC-alloSCT. Therefore, depending on the presence or absence of at least one additional leukemia-specific high-risk factor, i.e. disease status prior to alloSCT >CR1, tAML, or poor risk karyotype, patients were grouped into four subgroups: group I (HCT-CI <4, no high risk), group II (HCT-CI >4, no high risk), group III (HCT-CI <4, high risk), and group IV (HCT-CI >4, high risk). Projected OS in at 1, 2, and 3 years after alloSCT was 73%, 59%, and 59% (group I), 86%, 57%, and 57% (group II), 56%, 46%, and 37% (group III), or 33%, 16%, and 16% (group IV), which differed statistically significant between the 4 subgroups (p = 0.04). In turn, there was no statistically significant difference in TRM between groups I – IV (p = 0.61). Conclusions: These results indicate that the combined analysis of TRM-related factors, as assessed by the HCT-CI, and a limited set of leukemia-specific risk factors, i.e. cytogenetic risk, disease status before alloSCT, and the presence of tAML, may be useful in predicting the overall outcome of patients with AML after alloSCT following RIC.

scholarly journals Estimated glomerular filtration rate and cardiometabolic risk factors in a longitudinal cohort of children

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sílvia Xargay-Torrent ◽  
Elsa Puerto-Carranza ◽  
Irene Marcelo ◽  
Berta Mas-Parés ◽  
Ariadna Gómez-Vilarrubla ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Glomerular Filtration Rate ◽  
Filtration Rate ◽  
Cardiometabolic Risk ◽  
Normal Weight ◽  
Cardiometabolic Risk Factors ◽  
Overweight Subjects

AbstractAssociations between glomerular filtration rate (GFR) and cardiometabolic risk factors have been reported in adult and pediatric patients with renal disease. We aimed to assess the relationship between the estimated GFR (eGFR) and cardiometabolic risk factors in apparently healthy children. A longitudinal study in 401 asymptomatic Caucasian children (mean age 8 years) followed up after 4 years (mean age 12 years). GFR was estimated using the pediatric form of the FAS-equation. Children were classified at baseline according to their obesity status (normal weight and overweight) and according to eGFR levels (lower, average, and higher). The association of eGFR with anthropometric data [body mass index (BMI) and waist], blood pressure [systolic (SBP) and diastolic (DBP)], metabolic parameters [glucose, insulin resistance (HOMA-IR) and serum lipids], and renal ultrasonography measurements were assessed at baseline and follow-up. Baseline eGFR associated with several cardiometabolic risk factors at follow-up including higher waist, SBP, HOMA-IR, and kidney size (all p < 0.0001) in both normal weight and overweight children. In multivariate analysis, baseline eGFR was independently associated with follow-up HOMA-IR and SBP in both normal weight and overweight subjects (model R2: 0.188–0.444), and with follow-up BMI and waist in overweight subjects (model R2: 0.367–0.477). Moreover, children with higher filtration rates at baseline showed higher waist, SBP, DBP, HOMA-IR and renal size both at baseline and follow-up. eGFR is related to insulin resistance, blood pressure and adiposity measures in school-age children. eGFR may help to profile the cardiometabolic risk of children.

Increased monocyte to HDL cholesterol ratio in vitamin B12 deficiency: is it related to cardiometabolic risk?

2020 ◽  
pp. 1-8
Author(s):  
Sanem Kayhan ◽  
Nazli Gulsoy Kirnap ◽  
Mercan Tastemur
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Uric Acid ◽  
Vitamin B12 ◽  
Cardiometabolic Risk ◽  
Vitamin B12 Deficiency ◽  
Left Ventricular ◽  
Cardiometabolic Risk Factors ◽  
B12 Deficiency ◽  
Deficiency Group

Abstract. Vitamin B12 deficiency may have indirect cardiovascular effects in addition to hematological and neuropsychiatric symptoms. It was shown that the monocyte count-to-high density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel cardiovascular marker. In this study, the aim was to evaluate whether MHR was high in patients with vitamin B12 deficiency and its relationship with cardiometabolic risk factors. The study included 128 patients diagnosed with vitamin B12 deficiency and 93 healthy controls. Patients with vitamin B12 deficiency had significantly higher systolic blood pressure (SBP), diastolic blood pressure (DBP), MHR, C-reactive protein (CRP) and uric acid levels compared with the controls (median 139 vs 115 mmHg, p < 0.001; 80 vs 70 mmHg, p < 0.001; 14.2 vs 9.5, p < 0.001; 10.2 vs 4 mg/dl p < 0.001; 6.68 vs 4.8 mg/dl, p < 0.001 respectively). The prevalence of left ventricular hypertrophy was higher in vitamin B12 deficiency group (43.8%) than the control group (8.6%) (p < 0.001). In vitamin B12 deficiency group, a positive correlation was detected between MHR and SBP, CRP and uric acid (p < 0.001 r:0.34, p < 0.001 r:0.30, p < 0.001 r:0.5, respectively) and a significant negative correlation was detected between MHR and T-CHOL, LDL, HDL and B12 (p < 0.001 r: −0.39, p < 0.001 r: −0.34, p < 0.001 r: −0.57, p < 0.04 r: −0.17, respectively). MHR was high in vitamin B12 deficiency group, and correlated with the cardiometabolic risk factors in this group, which were SBP, CRP, uric acid and HDL. In conclusion, MRH, which can be easily calculated in clinical practice, can be a useful marker to assess cardiovascular risk in patients with vitamin B12 deficiency.

scholarly journals TNF-α -308 G>A and IL10 -1082A>G polymorphisms as potential risk factors for lymphoproliferative disorders in autoimmune rheumatic diseases

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Manal Y. Tayel ◽  
Aida Nazir ◽  
Ibtessam M. Abdelhamid ◽  
Myriam A. S. Helmy ◽  
Nadia E. Zaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Rheumatic Diseases ◽  
Lymphoproliferative Disorders ◽  
Group Iii ◽  
Autoimmune Rheumatic Diseases ◽  
Group I ◽  
Tnf Α ◽  
Ifn Γ ◽  
Tgf Β1 ◽  
Distribution Frequency

Abstract Background Chronic inflammation with sustained unregulated immune stimulation in autoimmune rheumatic diseases (ARD) may be a risk factor for developing lymphoproliferative disorders (LPD). Markers of ARD activity as high erythrocyte sedimentation rate or erosive joint diseases and the development of B-symptoms were accounted as risk factors for LPD development. We investigated the association of five inflammatory cytokine genes single nucleotide polymorphisms (SNPs): TNF-α -308G>A; TGF-β1 gene codon 10 T>C and 25 G>C; IL-10 promoter SNPs -1082 A>G, -819T>C, and -592A>C; IL-6 -174G>C; and IFN-γ 874 T>A with the risk of LPD development in ARD patients. The study was conducted on 70 patients divided into group I, 25 ARD patients diagnosed as RA (n = 15) and SLE (n = 10) and with no history of malignancy; group II, 25 patients diagnosed with LPD and had no ARD; and group III, 20 patients diagnosed with both diseases: ARD and LPD. Cytokine genotyping was analyzed by PCR-sequence-specific primer (PCR-SSP). Results ARD+LPD patients had significantly higher frequency of TNF-α -308A allele and AA+AG genotype (high TNF-α producers) and IL-10 -1082A allele and AA genotype (low IL-10 producers) than ARD patients (p = 0.003, p = 0.024, p = 0.003, p = 0.03, respectively) with a significantly increased risk of LPD development in ARD patients expressing the corresponding alleles and genotypes. No significant differences were detected in the distribution frequency of either TGF-β1, IL-6, or IFN-γ SNPs between groups I and III or any of the studied SNPs between groups II and III. The distribution frequency of IL-10 ATA haplotype was significantly increased in group III as compared to group I (p = 0.037). Conclusion The significantly increased frequency of the high-TNF-α- and low-IL-10-producing alleles and genotypes in ARD patients may participate in the provision of a proinflammatory milieu that eventually increases the risk of LPD development.

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