Multiplexed immunohistochemical evaluation of small bowel inflammatory and epithelial parameters in environmental enteric dysfunction.

BACKGROUND: Environmental enteric dysfunction (EED) is characterized by reduced absorptive capacity and barrier function of the small intestine, leading to poor ponderal and linear childhood growth. OBJECTIVES: To further define gene expression patterns that are associated with EED to uncover new pathophysiology of this disorder. METHODS: Duodenal biopsies from cohorts of children with EED from Bangladesh, Pakistan and Zambia were analyzed by immunohistochemistry (IHC) to interrogate gene products that distinguished differentiation and various biochemical pathways in immune and epithelial cells, some identified by prior bulk RNA sequence analyses. Immunohistochemical staining was digitally quantified from scanned images and compared to cohorts of North American children with celiac disease (gluten-sensitive enteropathy) or with no known enteric disease and no pathologic abnormality (NPA) detected in their clinical biopsies. RESULTS: After multivariable statistical analysis, we identified statistically significant (P < 0.05, 2-tailed t-test) elevated signals representing cluster of differentiation 45 (80%; 95% confidence interval [CI]: 24%, 127%), lipocalin 2 (659%; 95% CI: 198%, 1838%), and regenerating family 1 beta (221%; 95% CI: 47%, 600%) and lower signals corresponding to granzyme B (-74%; 95% CI: -82%, -62%), and sucrase isomaltase (-58%; 95% CI: -75%, -29%) in EED biopsies compared with NPA biopsies. Computerized algorithms also detected statistically significant elevation in intraepithelial lymphocytes (49%; 95% CI: 9%, 105%) and proliferation of leukocytes (267%; 95% CI: 92%, 601%) in EED biopsies compared with NPA biopsies. CONCLUSIONS: Our results support a model of chronic epithelial stress that decreases epithelial differentiation and absorptive function. The close association of several IHC parameters with manual histologic scoring suggests that automated digital quantification of IHC panels complements traditional histomorphologic assessment in EED

Anthropometry relationship with duodenal histologic features of children with environmental enteric dysfunction: a multicenter cross-sectional study.

BACKGROUND: Environmental enteric dysfunction (EED) is a precursor of growth faltering in children living in impoverished conditions who are frequently exposed to environmental toxins and enteropathogens, leading to small bowel inflammatory, malabsorptive, and permeability derangements and low-grade chronic systemic inflammation. OBJECTIVES: We explored the association between anthropometrics and duodenal histologic features of EED among children from 3 lower middle-income country centers. METHODS: In this cross-sectional study, Pakistani children (n = 63) with wasting, Bangladesh children (n = 116) with stunting or at risk for stunting (height-for-age Z score [HAZ] <-1 but ≥-2), and Zambian children (n = 108) with wasting or stunting received nutritional intervention. Children with anthropometric status refractory to intervention underwent endoscopy. Linear regression models included anthropometric around endoscopy, scores of histology parameters, and a global index score of EED-the total score percent-5 (TSP-5). Multivariable models were adjusted for center, age, sex, and histology slide quality. RESULTS: Intersite variation was observed while exploring the association between anthropometrics and the TSP-5; for example, Pakistani children had the worst HAZ, yet their median TSP-5 score was lower than that of the other 2 centers. Even within each site, no overall pattern of higher TSP-5 score was observed with worsening HAZ. During univariate analysis, TSP-5 (coefficient: 0.01; 95% confidence interval [CI]: 0, 0.02), goblet cell depletion (coefficient: 0.22; 95% CI: 0.06, 0.37), and Paneth cell depletion (coefficient: 0.14; 95% CI: 0.01, 0.27) were associated with HAZ scores; however, they lost statistical significance in the multivariable models, with study center most strongly confounding the relationships seen in univariate models between anthropometry and histology. CONCLUSIONS: This study contributes a crucial negative finding that duodenal morphological features did not associate with anthropometric phenotypes; hence, anthropometric measurements may not be a suitable outcome measure for use in EED trials. Trial outcomes may need to be defined by combining the functional and structural elements of the gut to monitor EED

Multiplexed immunohistochemical evaluation of small bowel inflammatory and epithelial parameters in environmental enteric dysfunction

Background: Environmental enteric dysfunction (EED) is characterized by reduced absorptive capacity and barrier function of the small intestine, leading to poor ponderal and linear childhood growth.Objectives: To further define gene expression patterns that are associated with EED to uncover new pathophysiology of this disorder.Methods: Duodenal biopsies from cohorts of children with EED from Bangladesh, Pakistan and Zambia were analyzed by immunohistochemistry (IHC) to interrogate gene products that distinguished differentiation and various biochemical pathways in immune and epithelial cells, some identified by prior bulk RNA sequence analyses. Immunohistochemical staining was digitally quantified from scanned images and compared to cohorts of North American children with celiac disease (gluten-sensitive enteropathy) or with no known enteric disease and no pathologic abnormality (NPA) detected in their clinical biopsies.Results: After multivariable statistical analysis, we identified statistically significant (P \u3c 0.05, 2-tailed t-test) elevated signals representing cluster of differentiation 45 (80%; 95% confidence interval [CI]: 24%, 127%), lipocalin 2 (659%; 95% CI: 198%, 1838%), and regenerating family 1 beta (221%; 95% CI: 47%, 600%) and lower signals corresponding to granzyme B (-74%; 95% CI: -82%, -62%), and sucrase isomaltase (-58%; 95% CI: -75%, -29%) in EED biopsies compared with NPA biopsies. Computerized algorithms also detected statistically significant elevation in intraepithelial lymphocytes (49%; 95% CI: 9%, 105%) and proliferation of leukocytes (267%; 95% CI: 92%, 601%) in EED biopsies compared with NPA biopsies.Conclusions: Our results support a model of chronic epithelial stress that decreases epithelial differentiation and absorptive function. The close association of several IHC parameters with manual histologic scoring suggests that automated digital quantification of IHC panels complements traditional histomorphologic assessment in EED

Histopathology underlying environmental enteric dysfunction in a cohort study of undernourished children in Bangladesh, Pakistan, and Zambia compared with United States children.

BACKGROUND: Environmental enteric dysfunction (EED) is an asymptomatic intestinal disorder associated with growth impairment, delayed neurocognitive development, and impaired oral vaccine responses. OBJECTIVES: We set out to develop and validate a histopathologic scoring system on duodenal biopsies from a cohort study of children with growth failure in Bangladesh, Pakistan, and Zambia ("EED") with reference to biopsies from United States children with no clinically reported histologic pathology (referred to hereafter as "normal") or celiac disease. METHODS: Five gastrointestinal pathologists evaluated 745 hematoxylin and eosin slide images from 291 children with EED (mean age: 1.6 y) and 66 United States children (mean age: 6.8 y). Histomorphologic features (i.e., villus/crypt architecture, goblet cells, epithelial and lamina propria acute/chronic inflammation, Brunner's glands, Paneth cells, epithelial detachment, enterocyte injury, and foveolar metaplasia) were used to score each histopathologic slide. Generalized estimating equations were used to determine differences between EED, normal, and celiac disease, and receiver operating characteristic curves were used to assess predictive value. RESULTS: Biopsies from the duodenal bulb showed higher intramucosal Brunner's gland scores and lower intraepithelial lymphocyte scores than from the second or third parts of the duodenum (D2/3), so only D2/3 were included in the final analysis. Although 7 parameters differed significantly between EED and normal biopsies in regression models, only 5 (blunted villus architecture, increased intraepithelial lymphocytosis, goblet cell depletion, Paneth cell depletion, and reduced intramucosal Brunner's glands) were required to create a total score percentage (TSP-5) that correctly identified EED against normal biopsies (AUC: 0.992; 95% CI: 0.983, 0.998). Geographic comparisons showed more severe goblet cell depletion in Bangladesh and more marked intraepithelial lymphocytosis in Pakistan. CONCLUSIONS: This scoring system involving 5 histologic parameters demonstrates very high discrimination between EED and normal biopsies, indicating that this scoring system can be applied with confidence to studies of intestinal biopsies in EED

Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics.

This article represents the first in a series of tutorials on model evaluation in nonlinear mixed effect models (NLMEMs), from the International Society of Pharmacometrics (ISoP) Model Evaluation Group. Numerous tools are available for evaluation of NLMEM, with a particular emphasis on visual assessment. This first basic tutorial focuses on presenting graphical evaluation tools of NLMEM for continuous data. It illustrates graphs for correct or misspecified models, discusses their pros and cons, and recalls the definition of metrics used

Model Evaluation of Continuous Data Pharmacometric Models : Metrics and Graphics

This article represents the first in a series of tutorials on model evaluation in nonlinear mixed effect models (NLMEMs), from the International Society of Pharmacometrics (ISoP) Model Evaluation Group. Numerous tools are available for evaluation of NLMEM, with a particular emphasis on visual assessment. This first basic tutorial focuses on presenting graphical evaluation tools of NLMEM for continuous data. It illustrates graphs for correct or misspecified models, discusses their pros and cons, and recalls the definition of metrics used