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Record W6889075193 · doi:10.25394/pgs.17263904.v1

Structural And Functional Studies Of Neisserial Lactoferrin Binding Proteins

2021· dissertation· en· W6889075193 on OpenAlexfundno aff

Bibliographic record

VenueOpen MIND · 2021
Typedissertation
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health ResearchNational Institutes of HealthGeorgia State UniversityNational Institute of General Medical SciencesDirectorate for Biological SciencesUniversity of TorontoPurdue University
KeywordsLactoferrinInnate immune systemImmune systemAntimicrobialObligateBacterial outer membraneAntimicrobial peptidesHemin

Abstract

fetched live from OpenAlex

Two species of Neisseria, N. meningitidis and N. gonorrhoeae, are obligate human pathogens that cause meningitis and gonorrhea, respectively. Although generally asymptomatic, N. meningitidis can cause invasive meningococcal disease with high mortality rate. Due to emerging antibiotic resistance strains of N. gonorrhoeae, the Centers for Disease Control and Prevention (CDC) have designated it as an urgent threat to public health. Therefore, immediate interventions are required for fight against these Neisserial pathogens. Iron is an essential nutrient for all bacteria, including Neisseria. However, free iron is scarce in human, therefore, Neisseria have evolved to acquire iron from host proteins. These iron acquisition systems are immunogenic and important for infection and are promising therapeutic targets. In the host, lactoferrin sequesters free iron and limits iron availability to pathogens. However, Neisseria have evolved machinery to hijack iron directly from lactoferrin itself. Lactoferrin binding proteins, LbpA and LbpB, are outer membrane proteins that together orchestrate the acquisition of iron from lactoferrin. Additionally, LbpB serves an additional role in providing protection against host cationic antimicrobial peptides and innate immune response. Despite studies aimed at deciphering the roles of LbpA and LbpB, the molecular mechanisms underpinning iron acquisition and immune protection remain unknown. Here, we investigated the role of the lactoferrin binding proteins in iron acquisition and protection against cationic antimicrobial peptides. We obtained three-dimensional structures of Neisseria LbpA and LbpB in complex with lactoferrin using cryo-electron microscopy and X-ray crystallography. These structures show that both LbpA and LbpB bind to C-lobe of lactoferrin, albeit at distinct sites. Structural analyses show that while lactoferrin maintains its iron-bound closed conformation in the LbpB-lactoferrin complex, it undergoes a large conformational change from an iron-bound closed to an iron-free open conformation upon binding to LbpA. This observation suggest that LbpA alone can trigger the extraction of iron from lactoferrin. Our studies also provide an explanation for LbpB’s preference towards holo-lactoferrin over apo-lactoferrin and LbpA’s inability to distinguish between holo- and apo-lactoferrin. Furthermore, using mutagenesis and binding studies, we show that anionic loops in the C-lobe of LbpB contribute to binding the cationic antimicrobial peptide lactoferricin. Solution scattering studies of the LbpB-lactoferricin complex showed that LbpB undergoes a small conformational change upon peptide binding. Together, our studies provide structural insights into the role of the lactoferrin binding proteins in iron acquisition and evasion of the host immune defenses. Moreover, this work lays the foundation for structure-based design of therapeutics against Neisseria targeting the lactoferrin binding proteins.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.400
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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