MétaCan
Menu
Back to cohort
Record W2219906872

Investigating The Sequence Diversity Of Transferrin Binding Protein B In Haemophilus Influenzae

2013· article· en· W2219906872 on OpenAlexaffvenueabout
Nathan James Allen Cormier

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSerotypeBiologyHaemophilus influenzaeMicrobiologyVirologyMeningitisActinobacillusConjugate vaccinePasteurellaceaeHaemophilusPathogenBacterial capsuleBacteriaGeneGeneticsVirulenceMedicineAntibioticsStreptococcus pneumoniae
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND Haemophilus influenzae ( Hi ) is a Gram-negative bacterium that is exclusive to the upper respiratory tract of humans. Hi strains possessing an extracellular polysaccharide capsule, particularly serotype b H. influenzae ( Hib ), are responsible for invasive infections such as bacterial meningitis and bacteremia. Strains without a polysaccharide capsule, known as non-typable H. influenzae ( NTHi ), are responsible for ear infections and other diseases in children. Disease caused by Hib infections has become rare in developed countries since the introduction of a conjugate serogroup b vaccine. However disease caused by NTHi and other Hi serotypes, particularly type a Hi , has increased [1]. To prevent disease caused by non-vaccine Hi serotypes novel vaccines will need to be produced that are effective against multiple serotypes of Hi , including NTHi . RATIONALE It has been demonstrated that transferrin binding protein B (TbpB) in the porcine pathogen, Actinobacillus pleuropneumoniae (Ap), is essential for survival and causing disease in a porcine infection model [2]. TbpB is now being developed as a vaccine target. Since Ap and Hi are both host-restricted bacteria in the Pasteurellaceae family, we consider TbpB in Hi as a logical vaccine target. METHODS To investigate the diversity of TbpBs in Hi , the tbpB genes from a collection of 43 unique Hi strains from Canada, the United States and England were sequenced. These strains represent a wide diversity of clinical manifestations and serotypes, allowing us to investigate the diversity of the tbpB gene in Hi . Phylogenetic analysis was undertaken to cluster the tbpB genes based on sequence similarity. These analyses of the relationships between phylogenetic clusters and clinical/epidemiological information explore the prevalence and diversity of transferrin receptor genes in Hi. RESULTS Analysis of the data showed that the sequences of the various TbpB proteins clustered independently of serotype. This shows that development of a TbpB-based vaccine would logically target all serotypes and non-typeable strains, rather than having to develop a series of vaccines for the different groups. The analysis of the multiple sequence alignments generated from the TbpB sequences showed higher conservation in the C lobe of TbpB than the N lobe.  Of particular interest was the observation made while mapping conserved regions of the sequence alignments to a structural model of TbpB that a region exists on the N lobe of TbpB which is highly conserved in all Hi strains sequenced. FUTURE DIRECTIONS The immunogenic properties of this conserved region of TbpB have not yet been investigated. The number of strains sequenced was also limited and they were only of serotype B and NTHi . More diverse Hi strains need to be sequenced to confirm the conservation of TbpB across all serotypes and further studies still need to be completed to confirm that these conserved regions are actually immunogenic. However this study has shown that TbpB has potential to be used as a target for a new cross protective Hi vaccine.

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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.097
GPT teacher head0.348
Teacher spread0.251 · 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
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueJournal of undergraduate research in AlbertaSame topicMicrobial infections and disease researchFrench-language works237,207