Sulfatide binding properties of murine and human antiganglioside antibodies
Bibliographic record
Abstract
Antiganglioside antibodies form an important component of the innate and adaptive B cell repertoire, where they provide antimicrobial activity through binding encapsulated bacterial glycans. In an aberrant role, they target peripheral nerve gangliosides to induce autoimmune nerve injury. An important characteristic of antiganglioside antibodies is their ability to selectively recognize highly defined glycan structures. Since sialylated and sulfated glycans often share lectin recognition patterns, we here explored the possibility that certain antiganglioside antibodies might also bind 3-O-sulfo-beta-D-galactosylceramide (sulfatide), an abundant constituent of plasma and peripheral nerve myelin, that could thereby influence any immunoregulatory or autoimmune properties. Out of 25 antiganglioside antibodies screened in solid phase assays, 20 also bound sulfatide (10(-5) to 10(-6) M range) in addition to their favored ganglioside glycan epitope ( approximately 10(-7) M range). Solution inhibition studies demonstrated competition between ganglioside and sulfatide, indicating close proximity or sharing of the antigen binding variable region domain. Sulfatide and 3-O-sulfo-beta-D-galactose were unique in having this property amongst a wide range of sulfated glycans screened, including 4- and 6-O-sulfo-beta-D-galactose analogues. Antiganglioside antibody binding to 3-O-sulfo-beta-D-galactose was highly dependent upon the spatial presentation of the ligand, being completely inhibited by conjugation to protein or polyacrylamide (PAA) matrices. Binding was also absent when sulfatide was incorporated into plasma membranes, including myelin, under conditions in which antibody binding to ganglioside was retained. These data demonstrate that sulfatide binding is a common property of antiganglioside antibodies that may provide functional insights into, and consequences for this component of the innate immune repertoire.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".