CHLD Antibody

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Description

Pediatric Antibody Responses to Viral Pathogens

Children demonstrate distinct antibody characteristics compared to adults, particularly against SARS-CoV-2:

ParameterChildren (0–17 yrs)Adults (>18 yrs)Source
Anti-RBD IgG levels*13× higher (0–4 yrs)Baseline
Neutralizing antibodies1.9× higher (0–4 yrs)Lower magnitude
Antibody durabilityUp to 500 days (infants)6–12 months
Memory B cell persistenceYears (post-infection)Months

*Receptor-binding domain antibodies against SARS-CoV-2 spike protein

Key findings from longitudinal studies:

  • Infants maintain SARS-CoV-2 IgG titers with minimal decay for >16 months post-infection ( )

  • 98.1% of children retain nucleocapsid antibodies >12 months post-infection vs 79.5% in adults ( )

Diagnostic Applications

Oral fluid antibody testing demonstrates pediatric applicability:

SARS-CoV-2 antibody detection in children ( ):

  • Sensitivity: 93% (anti-RBD IgG)

  • Specificity: 98%

  • Non-invasive collection method validated for ages 3 months–17 years

Clinical Implications

Distinct pediatric antibody profiles influence medical management:

  • Vaccination strategies require adjusted dosing for sustained protection ( )

  • Thyroid function monitoring essential due to antithyroglobulin antibody prevalence ( )

  • Household transmission studies show children as immunological sentinels ( )

Research Limitations and Knowledge Gaps

Current understanding remains incomplete due to:

  • Heterogeneity in pediatric cohort studies (age ranges 0–19 yrs) ( )

  • Variant-specific antibody response differences ( )

  • Lack of standardized durability metrics across studies ( )

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
CHLD antibody; ALB1 antibody; PDE166 antibody; At1g08520 antibody; T27G7.20 antibody; Magnesium-chelatase subunit ChlD antibody; chloroplastic antibody; Mg-chelatase subunit D antibody; EC 6.6.1.1 antibody; Mg-protoporphyrin IX chelatase subunit ChlD antibody; Protein ALBINA 1 antibody; Protein PIGMENT DEFECTIVE EMBRYO 166 antibody
Target Names
CHLD
Uniprot No.

Target Background

Function
CHLD antibody targets an enzyme crucial for chlorophyll biosynthesis. It catalyzes the incorporation of magnesium ions into protoporphyrin IX, yielding Mg-protoporphyrin IX. The magnesium-chelatase complex consists of three subunits: CHLI, CHLD, and CHLH. The reaction proceeds in two steps: an ATP-dependent activation followed by an ATP-dependent chelation step. Notably, CHLD does not bind abscisic acid.
Database Links

KEGG: ath:AT1G08520

STRING: 3702.AT1G08520.1

UniGene: At.11572

Protein Families
Mg-chelatase subunits D/I family
Subcellular Location
Plastid, chloroplast.

Q&A

What methodological considerations are important when conducting antibody testing in pediatric populations?

Antibody testing in children requires specific methodological adaptations. The preferred approach involves using small blood samples, often collected via fingerstick methods that use tiny lancets to collect blood from a fingertip, minimizing discomfort while still obtaining sufficient sample volume for analysis . For research purposes, establishing clear baseline measurements is essential, particularly when conducting longitudinal studies. Testing protocols should include comprehensive antibody profiling, assessing multiple antibody types (IgG, IgA, IgM) and their targets (spike protein, RBD, nucleocapsid) .

When interpreting results, researchers must account for age-related differences in immune system development. Children's test results should not be interpreted using adult reference ranges, as pediatric responses show distinct patterns in terms of antibody levels, isotype distribution, and neutralization capacity .

How should researchers address the limitations of antibody testing when studying pediatric COVID-19 cases?

When designing research protocols involving antibody testing in children, researchers should implement several methodological safeguards:

  • Include temporal controls - Testing should occur at multiple time points (e.g., baseline, 4 months, and 12 months post-infection) to capture the dynamic nature of antibody responses .

  • Employ multiple testing modalities - Combine binding assays (ELISA) with functional assessments (neutralization assays) to comprehensively characterize antibody responses .

  • Establish appropriate control groups - Include both unexposed children and those with confirmed infections to enable comparative analysis .

  • Consider cross-reactivity - Implement assays that can distinguish between antibodies to SARS-CoV-2 and those targeting other common coronaviruses .

  • Correlate with clinical outcomes - Track participants longitudinally to establish relationships between antibody responses and protection from reinfection or disease severity .

It's important to recognize that antibody testing alone cannot determine immunity status, as protection involves complex cellular immune responses beyond antibody production .

What quantitative differences exist in antibody production between children and adults following SARS-CoV-2 infection?

Research has revealed significant differences in antibody production between pediatric and adult populations following SARS-CoV-2 infection. These differences are summarized in the table below:

Antibody ParameterChildrenAdultsTime PointReference
S1-specific IgG antibodiesHigherLower4 months post-infection
S1-specific IgG antibodiesSimilarSimilar12 months post-infection
RBD-specific IgG antibodiesSimilarSimilarThroughout observation period
NCP-specific IgG antibodiesHigherLower4 months post-infection
NCP-specific IgG antibodiesLowerHigher12 months post-infection
S1-specific IgA antibodiesProgressive increaseNo increaseOver time
Neutralization capacityHigherLowerThroughout observation period
Neutralization potency index (NPI)Progressive increaseProgressive increaseOver time

The methodological approach to obtain these results involved collecting blood samples from both cohorts at specific time intervals and analyzing them for antibody content using standardized assays. The progressive increase in S1-specific IgA antibodies observed only in children suggests ongoing class switching in the B cells of pediatric cohorts, which could contribute to their enhanced neutralization capacity .

How do B cell subpopulations evolve differently in children compared to adults after COVID-19 infection?

Methodological analysis of B cell subpopulations reveals distinct evolutionary patterns between children and adults following SARS-CoV-2 infection. Over an 8-month observation period, researchers documented these differences using flow cytometry and immunophenotyping techniques .

In adults, increases were observed in:

  • Plasmablasts

  • IgA2-positive B cells

  • Unconventional (IgD-CD27-) B cells

In children, researchers noted increases in:

  • Plasmablasts

  • Switched memory cells

  • Marginal zone-like B cells

  • IgA2-positive B cells

These findings suggest ongoing B cell activation in both populations, but with distinct maturation patterns. Children exhibit more diverse B cell differentiation, potentially explaining their broader neutralizing responses. The methodological significance of these findings is that they occurred during periods of social distancing, suggesting the changes were primarily driven by the original infection rather than re-exposures .

To properly investigate these differences, researchers should employ multiparameter flow cytometry with comprehensive panels of B cell markers, including CD19, CD27, CD38, IgD, IgM, IgA1, IgA2, and activation markers.

What experimental designs are most effective for isolating and characterizing neutralizing antibodies from pediatric samples?

When working with limited pediatric blood samples, several advanced methodological approaches have proven particularly effective:

  • Single B-cell isolation and sequencing: This technique involves isolating individual B cells, typically through fluorescence-activated cell sorting (FACS), followed by single-cell RNA sequencing. This approach allows researchers to match antibody variable region sequences with their antigen specificities, creating a comprehensive map of the antibody repertoire from minimal blood volumes .

  • Phage display technologies: These methods involve creating antibody fragment libraries from pediatric B cells and displaying them on bacteriophage surfaces. Researchers can then select antibodies with desired binding properties through successive rounds of binding and amplification. This approach is particularly valuable when working with limited sample volumes and when searching for antibodies with specific characteristics .

  • High-throughput neutralization assays: Miniaturized assays using pseudovirus systems or microneutralization formats enable testing of many antibody samples against multiple viral variants simultaneously, maximizing data generation from limited pediatric samples .

  • Computational antibody design: Biophysics-informed modeling combined with experimental data allows researchers to identify different binding modes associated with particular ligands, enabling prediction and generation of specific antibody variants beyond those observed in experiments .

For optimal results, researchers should implement workflows that integrate these methodologies, beginning with careful sample collection (minimizing volume requirements) and proceeding through antibody isolation, functional characterization, and potential modification for enhanced properties.

How can researchers leverage computational approaches to predict and enhance antibody specificity from pediatric samples?

Computational approaches offer powerful tools for predicting and enhancing antibody specificity from limited pediatric samples. An effective methodological framework combines experimental data with computational modeling through several steps:

  • Data collection: Generate experimental data through phage display or other selection methods against diverse ligands relevant to the pathogen of interest .

  • Biophysics-informed modeling: Develop models that associate each potential ligand with a distinct binding mode, enabling the prediction of specific variants beyond those observed experimentally. These models should incorporate structural information about the antibody-antigen interface when available .

  • Machine learning integration: Apply machine learning algorithms to identify patterns in antibody sequences that correlate with specific binding properties or neutralization capabilities .

  • In silico screening: Computationally evaluate predicted antibody variants against target antigens before experimental validation, prioritizing candidates with desired specificity profiles .

  • Experimental validation: Confirm computational predictions through targeted experiments, creating a feedback loop to refine computational models .

This integrated approach has demonstrated success in designing antibodies with customized specificity profiles—either with specific high affinity for particular target ligands or with cross-specificity for multiple target ligands. The methodology is particularly valuable when working with pediatric samples where material is limited and when antibody responses need to be characterized against chemically similar ligands .

What experimental evidence supports the superior neutralizing capacity of children's antibodies against SARS-CoV-2 variants?

Research from Vanderbilt University Medical Center provides compelling experimental evidence for the superior neutralizing capacity of children's antibodies. Their methodological approach involved:

  • Collecting blood samples from children aged 5 months to 18 years between July and August 2021

  • Dividing samples into groups based on previous SARS-CoV-2 exposure

  • Isolating antibodies and testing them against multiple SARS-CoV-2 variants

  • Comparing neutralization potency against variants that emerged after sample collection

Their findings revealed that antibodies isolated from children's blood samples displayed high levels of neutralization and potency against SARS-CoV-2 variants, even when the children had no previous exposure to or vaccination against those specific variants. This indicates an intrinsic quality of children's antibody responses that produces broadly neutralizing antibodies capable of recognizing conserved epitopes across variants .

This phenomenon is particularly significant because it contradicts conventional understanding of pediatric immunity, which typically views children as having less mature immune responses to pathogens like influenza, RSV, and human metapneumovirus. With SARS-CoV-2, children experience significantly less severe disease and generate antibodies with broader neutralizing capacity .

What methodological approaches should be used to optimize children's antibodies for therapeutic development?

Developing therapeutic antibodies from pediatric sources requires sophisticated methodological approaches to optimize several key attributes:

  • Binding affinity and specificity optimization: This involves CDR engineering through rational design approaches combined with targeted mutagenesis. Researchers should focus on eliminating residues with unsatisfied polar groups in the CDRs and introducing or removing charged residues at peripheral sites within the CDRs that influence binding kinetics .

  • Stability enhancement: Multiple complementary approaches should be employed:

    • Knowledge-based methods drawing from databases of antibody structures

    • Statistical methods analyzing covariation and frequency patterns

    • Structure-based computational methods using platforms like Rosetta and molecular simulations

    These approaches have successfully increased antibody melting temperatures from 51°C to 82°C through strategic mutations .

  • Functional assessment: Comprehensive evaluation of antibody functions beyond binding, including neutralization potency, breadth against variants, and effector functions when appropriate .

  • Formulation optimization: Methods to ensure proper folding, solubility, and stability under storage conditions required for therapeutic applications .

The integrated use of these methodological approaches is critical, as demonstrated in studies where combinations of multiple methodologies produced superior results compared to any single approach in isolation .

What methodological approaches are being employed to understand the long-term effects of COVID-19 in children through antibody profiling?

Rutgers University researchers are implementing comprehensive methodological approaches to understand long-term COVID-19 effects in children through the RECOVER initiative and CLOCK consortium. Their methodology includes:

  • Large-scale serological screening of over 30,000 subjects among children and their caretakers

  • Production of SARS-CoV-2 proteins using established methods adapted from HIV research

  • Implementation of binding assays using proteins produced in-house rather than commercial reagents

  • Longitudinal tracking of participants to correlate antibody profiles with clinical outcomes

This methodological framework enables researchers to establish connections between antibody responses and long COVID symptoms, potentially identifying biomarkers that predict persistent symptoms or recovery trajectories. The approach's strength lies in its comprehensive nature, combining antibody profiling with detailed clinical characterization across a large cohort .

For researchers designing similar studies, this methodology offers several advantages:

  • The large sample size provides statistical power to detect subtle patterns

  • In-house protein production ensures consistency and quality control

  • The inclusion of caretakers enables comparative analysis between children and adults

  • The longitudinal design allows tracking of antibody evolution over time

What unresolved questions about children's antibody responses to SARS-CoV-2 require methodological innovation?

Despite significant advances, several critical questions about children's antibody responses to SARS-CoV-2 remain unresolved and require methodological innovation:

  • Mechanisms underlying enhanced neutralization: While children's antibodies demonstrate superior neutralization capacity, the precise molecular mechanisms remain unclear. New methodological approaches combining structural biology (cryo-EM, X-ray crystallography) with repertoire analysis could elucidate the binding modes that confer this advantage .

  • Durability predictions: Current studies extend to 12 months post-infection, but methodologies for predicting longer-term antibody persistence are needed. Innovative approaches might include mathematical modeling based on antibody decay kinetics or identifying cellular markers in memory B cells that correlate with long-lived responses .

  • Germline contributions: The degree to which children's superior responses stem from germline antibody genes versus somatic hypermutation remains unclear. Methods that comprehensively analyze the contribution of germline sequences to neutralizing antibodies could address this question .

  • Cross-protection mechanisms: How antibodies generated against one variant provide protection against novel variants requires deeper investigation. Methodological innovations combining epitope mapping with functional assays could reveal the mechanisms underlying this cross-protection .

  • Translating pediatric advantages to adult therapies: Methods for designing adult vaccines or therapeutics that recapitulate the advantageous features of children's antibody responses represent a critical frontier for research .

Addressing these questions will require multidisciplinary approaches combining immunology, structural biology, computational biology, and clinical research methodologies.

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