12 research outputs found
Baseline information of a cohort children (n = 515) in urban low income neighborhood of Dhaka, Bangladesh during April 2009–March 2011.
<p>Baseline information of a cohort children (n = 515) in urban low income neighborhood of Dhaka, Bangladesh during April 2009–March 2011.</p
Frequency of respiratory viral pathogens in episodes of respiratory symptoms (N = 1,322) in a low income urban neighborhood, Dhaka, Bangladesh (April 2009–March 2010).
<p>Frequency of respiratory viral pathogens in episodes of respiratory symptoms (N = 1,322) in a low income urban neighborhood, Dhaka, Bangladesh (April 2009–March 2010).</p
Incidence of ARI and pneumonia per 100 child-years associated with different respiratory viral pathogens in a cohort of children aged <2 years in a low income urban neighborhood, Dhaka, Bangladesh (April 2009–March 2011).
<p>Incidence of ARI and pneumonia per 100 child-years associated with different respiratory viral pathogens in a cohort of children aged <2 years in a low income urban neighborhood, Dhaka, Bangladesh (April 2009–March 2011).</p
Monthly distribution of respiratory virus pathogens associated pneumonia in a cohort children in a low income urban neighborhood, Dhaka, Bangladesh (April 2009–March 2011).
<p>Monthly distribution of respiratory virus pathogens associated pneumonia in a cohort children in a low income urban neighborhood, Dhaka, Bangladesh (April 2009–March 2011).</p
Fecal MPO, Fecal alpha-1-antitrypsin (A1AT), and plasma LPS, FABP and SAA each predicts subsequent growth impairment.
<p>a: For MPO, <i>p</i> = 0.028; n = 266 when correcting for age and gender, and independent of breastfeeding status (that showed no correlation in these 6-26m old children) and of age. b: For A1AT, n = 237; <i>p</i> = 0.042; and A1AT also correlates with “catchup WAZ” as well, <i>p</i> = 0.035 after correcting for age and gender. c: For urine L/M, higher values correlated (controlling for age and gender) with impaired growth (delta HAZ) (<i>r</i> = -0.173; <i>p</i> = 0.009; n = 230). d: For plasma LPS (ie lower LUM), higher values correlated with impaired growth (delta HAZ) (<i>r</i> = 0.151; <i>p</i> = 0.017; n = 251). e: For plasma FABP, higher values correlated with impaired growth (delta HAZ) (r = -0.134; <i>p</i> = 0.042; n = 231). f: For plasma SAA, higher values correlated with impaired growth (delta HAZ) (r = -0.132; p = 0.046; n = 231).</p
Frequencies of biomarker testing, including 13 tests on plasma, 4 on fecal and L/M absorption testing on urine as shown.
<p>*Of 326 children with samples obtained within 1 month of study start.</p
Demographic information for study participants (Children and caregivers; n = 375 at study start, except where otherwise noted).
<p>Demographic information for study participants (Children and caregivers; n = 375 at study start, except where otherwise noted).</p
Path model, using Principle Components Analyses (Equamax rotation solution maximizing independence of groups) showing associations among 1) Barrier (green), 2) Local Gut (orange) and 3) Systemic (pink) sets of biomarkers, as well as their predictive utility regarding linear growth.
<p>Path model, using Principle Components Analyses (Equamax rotation solution maximizing independence of groups) showing associations among 1) Barrier (green), 2) Local Gut (orange) and 3) Systemic (pink) sets of biomarkers, as well as their predictive utility regarding linear growth.</p
Cluster dendrogram with Pearson correlations among those biomarkers with ≥274 values showing three main groups: 1) translocation markers, LPS and IgA and IgG anti-LPS or FliC as well as zonulin and the 2 potential predictors of subsequent growth, tryptophan and citrulline; 2) predominantly systemic responses to disrupted barrier function and translocation; and 3) markers of specific intestinal barrier disruption or local intestinal inflammation.
<p>As discussed, groups 1 and 3 may predispose to group 2 systemic responses in associating with each other as shown in the heat map as would fit our concept of the pathogenesis of enteropathy.</p
Repeated measures MANOVAs show interactions in predicting growth between MPO and Neo: high MPO when combined with high neopterin associate with poorest growth.
<p>Repeated measures MANOVAs show interactions in predicting growth between MPO and Neo: high MPO when combined with high neopterin associate with poorest growth.</p