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Record W2133812329 · doi:10.1007/s10096-008-0661-9

Can Campylobacter coli induce Guillain-Barré syndrome?

2008· article· en· W2133812329 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Journal of Clinical Microbiology & Infectious Diseases · 2008
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsNational Research Council CanadaInstitute for Biological Sciences
FundersNational Research Council CanadaUniversity of Glasgow
KeywordsCampylobacter jejuniMicrobiologyCampylobacterBiologyAmplified fragment length polymorphismEnteritisMedical microbiologyRestriction enzymeEscherichia coliRestriction fragment length polymorphismgenomic DNAVirologyDNABacteriaPolymerase chain reactionMedicineGeneticsGene

Abstract

fetched live from OpenAlex

Campylobacter jejuni enteritis is the most frequently identified infection preceding the Guillain-Barré syndrome (GBS) and neural damage is thought to be induced through molecular mimicry between C. jejuni lipo-oligosaccharide (LOS) and human gangliosides [1].It has been questioned whether or not other Campylobacter species, including C. curvus, C. upsaliensis and C. coli, could be similarly involved [2][3][4].This is relevant because it would imply that bacterial factors considered important in the aetiology of GBS crossed species barriers.Two prior reports have appeared where C. coli was putatively associated with a case of GBS [2,3].We here present two female patients with GBS, one from the Netherlands (patient GB50) and one from France (patient 664H2004).From a faecal specimen obtained for both patients, a C. coli strain was isolated.On the basis of surface protein profiling, the strains were unequivocally demonstrated to belong to the species C. coli (results not shown).The strains were encoded GB50 and 664H2004, respectively, and stored at -80°C.For patient GB50, a serum sample obtained at the acute GBS phase was available.This sample was also stored at -80°C.Strains were grown on Mueller-Hinton agar at 37°C for 48 h, after which DNA was extracted, as described by Pitcher et al. [5].Amplified fragment length polymorphism (AFLP) analysis was performed, as described by Duim et al. [6].In brief, 1 µg of genomic DNA was digested with the HindIII-HhaI restriction enzyme combination and sitespecific adaptors were ligated to the restriction fragments.Primers complementary to the adaptor and restriction site sequence were used in pre-selective and selective polymerase chain reaction (PCR) amplifications.The amplified and fluorescently labelled fragments were loaded on an ABI Prism 377 automated sequencer.GeneScan version 3.1 (Applied Biosystems) was used for data collection, and the AFLP profiles were imported, using the CrvConv filter, in BioNumerics 4.61 (Applied Maths, Belgium) for normalisation and further analysis.The obtained AFLP profiles were included in an in-house AFLP reference frame, containing

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.

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)0.002
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 score0.037
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.296
Teacher spread0.268 · 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