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Record W77611494 · doi:10.1096/fasebj.21.6.a769-a

Mannan binding lectin polymorphisms associated with common infectious diseases of pigs

2007· article· en· W77611494 on OpenAlexafffundabout
Brandon N. Lillie, Natalie Keirstead, Andrew S. Brooks, E. James Squires, Robert Friendship, M. Anthony Hayes

Bibliographic record

VenueThe FASEB Journal · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsMannan-binding lectinBiologyGenotypeImmunologyHeterozygote advantageGeneGenetics

Abstract

fetched live from OpenAlex

In most mammals, there are two forms of mannan binding lectin in plasma; these are MBL‐A and MBL‐C expressed in liver by the MBL1 and MBL2 genes respectively. In humans, MBL1 is a pseudogene, and some mutations in MBL2 increase susceptibility to various infections. We looked for mutations that impair MBL‐C function in pigs in which MBL‐A is normally expressed. Expression of MBL‐C was markedly reduced in some healthy pigs, but low in most pigs diagnosed with common infectious diseases. Four SNPs associated with reduced expression of MBL‐C were identified in the 5′‐flanking region of pig MBL‐C. A multiplex PCR test was used to genotype a G(−1081)A mutation with the largest effect on MBL‐C expression in both the GA and AA genotypes in various European breeds. The G(−1081)A promoter defect was significantly more common among 288 pigs with various common pneumonic, enteric and systemic infections, compared with various healthy populations. These results demonstrate that a promoter polymorphism that impairs production of MBL‐C is an immunodeficiency in pigs with normal MBL‐A expression. The frequency of this mutation in various breeds (8–42%) and the susceptible phenotype of heterozygotes indicate that selective breeding for the normal promoter genotype might reduce various infectious diseases in crossbred production pigs. Supported by Ontario Pork, NSERC and OMAFRA

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.251
Teacher spread0.236 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2007
Admission routes3
Has abstractyes

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