Reviews and feature article
Immune biomarkers in the spectrum of childhood noncommunicable diseases

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A biomarker is an accurately and reproducibly quantifiable biological characteristic that provides an objective measure of health status or disease. Benefits of biomarkers include identification of therapeutic targets, monitoring of clinical interventions, and development of personalized (or precision) medicine. Challenges to the use of biomarkers include optimizing sample collection, processing and storage, validation, and often the need for sophisticated laboratory and bioinformatics approaches. Biomarkers offer better understanding of disease processes and should benefit the early detection, treatment, and management of multiple noncommunicable diseases (NCDs). This review will consider the utility of biomarkers in patients with allergic and other immune-mediated diseases in childhood. Typically, biomarkers are used currently to provide mechanistic insight or an objective measure of disease severity, with their future role in risk stratification/disease prediction speculative at best. There are many lessons to be learned from the biomarker strategies used for cancer in which biomarkers are in routine clinical use and industry-wide standardized approaches have been developed. Biomarker discovery and validation in children with disease lag behind those in adults; given the early onset and therefore potential lifelong effect of many NCDs, there should be more studies incorporating cohorts of children. Many pediatric biomarkers are at the discovery stage, with a long path to evaluation and clinical implementation. The ultimate challenge will be optimization of prevention strategies that can be implemented in children identified as being at risk of an NCD through the use of biomarkers.

Section snippets

What are biomarkers?

A biomarker (biological marker) is a quantifiable biological characteristic that provides an objective measure of health status or disease. For disease, biomarkers have the potential for use in risk stratification, early detection, identification of the treatment of choice and monitoring response to treatment, surveillance, and drug monitoring and development. Biomarkers are also used in other clinical scenarios, such as microbial identification and diagnostics. A biomarker can be a gene,

Allergy

Allergic disorders, including atopic dermatitis, food allergy, allergic rhinitis, and asthma, affect more than 1 billion persons across the globe, and their prevalence is expected to quadruple by the 2050s.24 Atopic dermatitis, which is typically accompanied by IgE sensitization to food, and food allergy are the earliest-onset NCDs and the most common chronic NCDs of childhood worldwide.25, 26 They are considered the first steps on the allergic march, whereby atopic dermatitis and food allergy

Benefits and challenges of biomarkers

Biomarkers must consistently and accurately predict a biological process or clinical outcome of interest. Most biomarkers in clinical use today have come about through the traditional experimental route outlined above. Today, these and untargeted (typically omics) approaches are used for biomarker discovery. It is very easy to speculate about the longer-term clinical utility of a novel potential biomarker, but the reality is a lengthy, painful, and expensive path from an exploratory to a

Summary

The utility of biomarkers is 2-fold: to identify mechanistic pathways enabling better understanding of disease processes and revealing novel therapeutic targets and to generate diagnostic or prognostic biomarkers that have clinical effect. The goal for the latter is an objective, accurate, and reproducible measurement that relates to the clinical scenario of interest. Such a biomarker must be accurate, sensitive, and specific; it helps if it is physiologically relevant to the disease or

References (165)

  • S. Prescott et al.

    Strategies to prevent or reduce allergic disease

    Ann Nutr Metab

    (2011)
  • L. Rosenbaum et al.

    Facing a “slow-motion disaster”—the UN meeting on noncommunicable diseases

    N Engl J Med

    (2011)
  • R. Beaglehole et al.

    Priority actions for the non-communicable disease crisis

    Lancet

    (2011)
  • S.L. Prescott

    Early-life environmental determinants of allergic diseases and the wider pandemic of inflammatory noncommunicable diseases

    J Allergy Clin Immunol

    (2013)
  • R. Geneau et al.

    Raising the priority of preventing chronic diseases: a political process

    Lancet

    (2010)
  • S. Yusuf et al.

    Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study

    Lancet

    (2004)
  • A. Alwan et al.

    Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries

    Lancet

    (2010)
  • S.L. Prescott et al.

    Asthma and pregnancy: emerging evidence of epigenetic interactions in utero

    Curr Opin Allergy Clin Immunol

    (2009)
  • R. Medzhitov

    Origin and physiological roles of inflammation

    Nature

    (2008)
  • M.F. Gregor et al.

    Inflammatory mechanisms in obesity

    Annu Rev Immunol

    (2011)
  • C.E. West et al.

    The gut microbiota and inflammatory noncommunicable diseases: associations and potentials for gut microbiota therapies

    J Allergy Clin Immunol

    (2015)
  • A.E. Wold

    The hygiene hypothesis revised: is the rising frequency of allergy due to changes in the intestinal flora?

    Allergy

    (1998)
  • M.C. de Goffau et al.

    Fecal microbiota composition differs between children with beta-cell autoimmunity and those without

    Diabetes

    (2013)
  • J. Penders et al.

    Establishment of the intestinal microbiota and its role for atopic dermatitis in early childhood

    J Allergy Clin Immunol

    (2013)
  • D.N. Frank et al.

    Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases

    Proc Natl Acad Sci U S A

    (2007)
  • K.M. Godfrey et al.

    Developmental origins of metabolic disease: life course and intergenerational perspectives

    Trends Endocrinol Metab

    (2010)
  • K. Strimbu et al.

    What are biomarkers?

    Curr Opin HIV AIDS

    (2010)
  • P.C. Calder

    Biomarkers of immunity and inflammation for use in nutrition interventions: International Life Sciences Institute European Branch work on selection criteria and interpretation

    Endocr Metab Immune Disord Drug Targets

    (2014)
  • N. Rifai et al.

    Biomarker discovery and validation

    Clin Chem

    (2006)
  • N.L. Anderson et al.

    The human plasma proteome: history, character, and diagnostic prospects

    Mol Cell Proteomics

    (2002)
  • D.P. Bartel

    MicroRNAs: target recognition and regulatory functions

    Cell

    (2009)
  • Y. He et al.

    Current state of circulating microRNAs as cancer biomarkers

    Clin Chem

    (2015)
  • Y.R. Li et al.

    Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases

    Nat Med

    (2015)
  • J.A. Odhiambo et al.

    Global variations in prevalence of eczema symptoms in children from ISAAC Phase Three

    J Allergy Clin Immunol

    (2009)
  • S.L. Prescott et al.

    A global survey of changing patterns of food allergy burden in children

    World Allergy Org J

    (2013)
  • S.A. Alduraywish et al.

    The march from early life food sensitization to allergic disease: a systematic review and meta-analyses of birth cohort studies

    Allergy

    (2016)
  • S.F. Thomsen

    Epidemiology and natural history of atopic diseases

    Eur Clin Respir J

    (2015)
  • G. Halmerbauer et al.

    Monitoring of disease activity by measurement of inflammatory markers in atopic dermatitis in childhood

    Allergy

    (1997)
  • T.F. Leung et al.

    Circulating LL-37 is a biomarker for eczema severity in children

    J Eur Acad Dermatol Venereol

    (2012)
  • M.H. Ezzat et al.

    Serum measurement of interleukin-31 (IL-31) in paediatric atopic dermatitis: elevated levels correlate with severity scoring

    J Eur Acad Dermatol Venereol

    (2011)
  • K.L. Hon et al.

    Serum concentration of IL-18 correlates with disease extent in young children with atopic dermatitis

    Pediatr Dermatol

    (2004)
  • M.H. Ezzat et al.

    Serum mucosa-associated epithelial chemokine (MEC/CCL28) in atopic dermatitis: a specific marker for severity

    Int J Dermatol

    (2009)
  • T. Fujisawa et al.

    Serum measurement of thymus and activation-regulated chemokine/CCL17 in children with atopic dermatitis: elevated normal levels in infancy and age-specific analysis in atopic dermatitis

    Pediatr Allergy Immunol

    (2009)
  • K.L. Hon et al.

    Serum levels of cutaneous T-cell attracting chemokine (CTACK) as a laboratory marker of the severity of atopic dermatitis in children

    Clin Exp Dermatol

    (2004)
  • Y. Kataoka

    Thymus and activation-regulated chemokine as a clinical biomarker in atopic dermatitis

    J Dermatol

    (2014)
  • Y. Lv et al.

    Profiling of serum and urinary microRNAs in children with atopic dermatitis

    PLoS One

    (2014)
  • T.X. Lu et al.

    MicroRNA signature in patients with eosinophilic esophagitis, reversibility with glucocorticoids, and assessment as disease biomarkers

    J Allergy Clin Immunol

    (2012)
  • A. Rebane

    microRNA and Allergy

    Adv Exp Med Biol

    (2015)
  • Y. Huang et al.

    Serum metabolomics study and eicosanoid analysis of childhood atopic dermatitis based on liquid chromatography-mass spectrometry

    J Proteome Res

    (2014)
  • Y.S. Kim et al.

    Identification of target proteins of N-acetylglucosaminyl-transferase V and fucosyltransferase 8 in human gastric tissues by glycomic approach

    Proteomics

    (2004)
  • W.K. Kim et al.

    Glycoproteomic analysis of plasma from patients with atopic dermatitis: CD5L and ApoE as potential biomarkers

    Exp Mol Med

    (2008)
  • S. Mayumi et al.

    Differential response in allergen-specific IgE, IgGs and IgA levels for predicting outcome of oral immunotherapy

    Pediatr Allergy Immunol

    (2016)
  • B.P. Vickery et al.

    Individualized IgE-based dosing of egg oral immunotherapy and the development of tolerance

    Ann Allergy Asthma Immunol

    (2010)
  • L. Orivuori et al.

    High level of fecal calprotectin at age 2 months as a marker of intestinal inflammation predicts atopic dermatitis and asthma by age 6

    Clin Exp Allergy

    (2015)
  • S.Y. Oh et al.

    Antioxidant nutrient intakes and corresponding biomarkers associated with the risk of atopic dermatitis in young children

    Eur J Clin Nutr

    (2010)
  • G.E. Schoeters et al.

    Biomonitoring and biomarkers to unravel the risks from prenatal environmental exposures for later health outcomes

    Am J Clin Nutr

    (2011)
  • K.W. Su et al.

    Cord blood soluble Fas ligand and pediatric atopic dermatitis

    Allergy Asthma Proc

    (2011)
  • H. Miyahara et al.

    Elevated umbilical cord serum TARC/CCL17 levels predict the development of atopic dermatitis in infancy

    Clin Exp Allergy

    (2011)
  • N.V. Folsgaard et al.

    Cord blood Th2-related chemokine CCL22 levels associate with elevated total-IgE during preschool age

    Clin Exp Allergy

    (2012)
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    Series editors: Joshua A. Boyce, MD, Fred Finkelman, MD, and William T. Shearer, MD, PhD

    C.L.S. and H.R. are supported by the Deutsche Forschungsgemeinschaft–funded SFB 1021.

    Disclosure of potential conflict of interest: C. Skevaki has received grants from the German Research Foundation and the German Center for Lung Research. J. Garssen has been a member of medical ethical committee boards for Utrecht University and Free University Amsterdam and has received grants from the European Union, NWO Netherlands, STW Netherlands, TIP Netherlands, and CCC Netherlands. A. Landay has consultant arrangements with Merck and has received payment from Gilead grant review and EMD Serono grant review. H. Renz has received grants from the German Research Foundation. The rest of the authors declare that they have no relevant conflicts of interest.

    Terms in boldface and italics are defined in the glossary on page 1303.

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