Correlation of urine and plasma cytokine levels among reproductive‐aged women

Nobles, Carrie J.; Bertone‐Johnson, Elizabeth R.; Ronnenberg, Alayne G.; Faraj, Joyce M.; Zagarins, Sofija; Takashima-Uebelhoer, Biki B.; Whitcomb, Brian W.

doi:10.1111/eci.12428

Cited by 15 publications

(9 citation statements)

References 38 publications

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“…Overall, we could observe that pregnant women presented similar glucose and total cholesterol levels [25][26][27] ; and greater LDL and HDL-cholesterol, 25,27 and triglycerides concentrations. 25 Regarding the inflammatory markers, pregnant women showed higher levels of IL-1, 28 IL-6, 25-29 IL-8, 28 IL-10, 28 IFN-γ, 28 and TNF-α 25,27,29 than non-pregnant women of similar characteristics. These comparisons and previous evidence 1,6,30,31 seem to support the idea that early pregnant women are predisposed to a mild pro-inflammatory profile, despite the fact that changes on cardiometabolic markers are not very accentuated.…”

Section: Discussionmentioning

confidence: 96%

Association of sedentary time and physical activity levels with immunometabolic markers in early pregnancy: The GESTAFIT project

Acosta‐Manzano

Acosta

Femia

et al. 2019

Scandinavian Med Sci Sports

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Objectives:To analyze the association of sedentary time and physical activity (PA) intensity levels with immunometabolic markers during early pregnancy; and to examine if meeting the PA recommendations is associated with the immunometabolic profile of pregnant women. Methods: Fifty Caucasian pregnant women (age: 32.8 ± 4.7 years old, body mass index: 24.2 ± 4.1kg/m 2 , gestational age: 17 ± 1.5weeks) participated in this crosssectional study (from September 2015 through May 2016). Sedentary time and PA intensity levels were objectively measured with triaxial accelerometer (seven consecutive valid days). Fasting serum glucose, total cholesterol, phospholipids, and triglycerides were assessed with standard methods. Serum pro-inflammatory and anti-inflammatory cytokines (fractalkine, interleukin-1β, interleukin-6, interleukin-8, interleukin-10, interferon-γ, and tumor necrosis factor-α) were measured using Luminex xMAP technology. Results: Sedentary time and PA were not correlated with any glycemic or lipid marker (P > .05). After adjusting for the potential confounders, vigorous PA showed a positive non-significant association with interleukin-6 (P = .06), and bouts of moderatevigorous PA was inversely associated with interleukin-1β and interferon-γ (P = .02 and P = .04, respectively). Meeting the PA guidelines was inversely associated with interleukin-1β and positively associated with interleukin-8 (P = .01 and P = .04, respectively). These associations disappeared after controlling for multiplicity. | 149ACOSTA-MANZANO eT Al. | 157ACOSTA-MANZANO eT Al.Víctor Segura-Jiménez https://orcid.

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Section: Discussionmentioning

confidence: 96%

Association of sedentary time and physical activity levels with immunometabolic markers in early pregnancy: The GESTAFIT project

Acosta‐Manzano

Acosta

Femia

et al. 2019

Scandinavian Med Sci Sports

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“…The A allele in the regulatory region upregulates the gene expression and increases IL8 levels [20]. IL8 is detectable in the urine when the plasma level is high [35]. It has been earlier reported that rs4073 is associated with the development of DN among T2DM in the North and South Indian populations [13].…”

Section: Discussionmentioning

confidence: 99%

Association of CCL2, CCR5, ELMO1, and IL8 Polymorphism with Diabetic Nephropathy in Malaysian Type 2 Diabetic Patients

Yahya

Ismail

Nordin

et al. 2019

International Journal of Chronic Diseases

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The unique variants or biomarkers of individuals help to understand the pathogenesis as well as the potential risk of individuals or patients to diabetic nephropathy (DN). The aim of this study was to investigate the association of a genetic polymorphism of monocyte chemoattractant protein-1 (CCL2-rs3917887), chemokine receptor 5 (CCR5-rs1799987), engulfment and cell mortality (ELMO1-rs74130), and interleukin-8 (IL8-rs4073) with the development of DN among Malaysian type 2 diabetes mellitus (T2DM) patients. More than one thousand diabetic patients were examined and a total of 652 T2DM patients were tested comprising 227 Malays (nonnephrotic=96 and nephrotic=131), 203 Chinese (nonnephrotic=95 and nephrotic=108), and 222 Indians (nonnephrotic=136 and nephrotic=86). DNA Sequenom mass ARRAY was employed to identify polymorphisms in CCL2, CCR5, ELMO1, and IL8 genes. DNA was extracted from the secondary blood samples taken from the T2DM patients. The alleles and genotypes were tested using four genetic models and the best mode of inheritance was chosen. CCR5 rs1799987 (G>A) showed strong association with the development of diabetic nephropathy only among the Chinese with OR=6.71 (2.55-17.68) 95% CI while IL8 rs4073 (T>A) showed association with nephropathy only among the Indians with OR=1.57 (0.66-3.71) 95% CI. The additive model was the best model for the mode of inheritance of all the genes. The contribution of genetic variants differs across ethnic groups or background. Further studies which involve environmental risk factors should be taken into consideration.

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“…To improve recruitment, it has been suggested that researchers consider the risk-benefit analysis parents make regarding their child's potential participation in clinical research and accordingly modify risk factors, for example, by minimising blood sampling (Caldwell et al, 2004). Apart from reducing discomfort for study participants, the use of urine samples also bears a lower cost, does not require specialised training for research staff, and study participants can usually collect the samples themselves (Nobles et al, 2015).…”

Section: Urine Versus Blood Samplesmentioning

confidence: 99%

Section: Urine Versus Blood Samplesmentioning

confidence: 99%

“…Despite the many practical advantages of urine, it is important to note that levels of serum and urine inflammatory markers are not always correlated (Navarro et al, 2006, Nobles et al, 2015, Khan, 2012. A study in healthy women aged 18 to 30 years found no significant correlation between blood and urine levels in any of 13 cytokines (including IL-6 and TNFα) that they assessed (Nobles et al, 2015). Another study assessing 48 different cytokines, chemokines and growth factors in plasma, urine and saliva samples found that of the 28 markers present in both plasma and urine, measured concentrations were significantly different between plasma and urine for 14 markers but similar for the remaining 14 markers (Khan, 2012).…”

Section: Urine Versus Blood Samplesmentioning

confidence: 99%

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Infant body composition as a predictor of childhood obesity, cardiovascular risk and inflammatory markers

Ratnasingham¹

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Background Childhood obesity is a growing epidemic associated with increased cardiometabolic disease risk in later life. Early detection and effective intervention are critical for preventing later obesity onset. Early life plays a key role in programming the development of later diseases. While birth weight is associated with poor health outcomes in later life, early body composition (fat mass [FM] vs. fat-free mass [FFM]) may be a better predictor. Aims The overarching aim of this study was to determine whether infant body composition is associated with later adverse health risk in childhood. Specifically, this study aimed to determine: (1) whether infant body composition is a better predictor of childhood obesity/cardiovascular risk/inflammatory markers than birth weight; and if so, (2) which infant body composition factors best predict childhood obesity/cardiovascular risk/inflammatory markers; and (3) what other early life and childhood factors are associated with childhood obesity/cardiovascular risk/inflammatory markers. It was hypothesised that increased infant adiposity would be a better predictor of later adverse health risk in childhood than birth weight. Methods This was an observational follow-up study of 131 children recruited as newborns at the Royal Brisbane and Women's Hospital (RBWH) between 2007 and 2010. Body composition had previously been measured by air displacement plethysmography (ADP) using the PEA POD ® Infant Body Composition System at four different timepoints during infancy: birth, 6 weeks, 3 months and 4.5 months of age. Maternal risk factors (e.g. pre-pregnancy body mass index [BMI] and gestational diabetes mellitus [GDM]) and infant feeding information were also recorded. During the childhood follow-up visit at 8 to 11 years of age, body composition was measured by ADP using the BOD POD ® Body Composition System to assess obesity. Childhood cardiovascular risk was assessed using multiple markers: carotid intima-media thickness (cIMT), retinal vasculature parameters (mainly arteriole-to-venule ratio [AVR]) and blood pressure (systolic blood pressure [SBP] and diastolic blood pressure [DBP]). Urine samples were collected and assayed for four inflammatory markers: tumour iii necrosis factor-α (TNF-α), interleukin-6 (IL-6), α1-acid glycoprotein (AGP) and endothelin-1 (ET-1). Potential confounding factors including diet, physical activity and socioeconomic status (SES) were also recorded. Backward stepwise multiple regression analyses were used to identify significant predictors of childhood outcome variables. Statistical significance was accepted at p < 0.05. Results There was no association between childhood percentage fat (%Fat) and either birth weight or birth weight z-score in this cohort. Higher %Fat at 6 weeks was a significant predictor of increased childhood %Fat, as were higher maternal pre-pregnancy BMI and earlier exposure to formula feeding. For every additional 1% in %Fat at 6 weeks, childhood %Fat increased by 0.4%. For every 2.5 kg/m 2 increase in maternal pre-pregnancy...

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Correlation of urine and plasma cytokine levels among reproductive‐aged women

Abstract: These results suggest that urine has limited utility as a proxy for plasma for the measurement of inflammatory factors in a healthy population with low levels of inflammation.

Cited by 15 publications

References 38 publications

Association of sedentary time and physical activity levels with immunometabolic markers in early pregnancy: The GESTAFIT project

Association of sedentary time and physical activity levels with immunometabolic markers in early pregnancy: The GESTAFIT project

Association of CCL2, CCR5, ELMO1, and IL8 Polymorphism with Diabetic Nephropathy in Malaysian Type 2 Diabetic Patients

Infant body composition as a predictor of childhood obesity, cardiovascular risk and inflammatory markers

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