Comparison of FcRγ-Deficient and CD57+ Natural Killer Cells Between Cord Blood and Adult Blood in the Cytomegalovirus-Endemic Korean Population
Bibliographic record
Abstract
BACKGROUND: FcRγ-deficient natural killer (NK) cells (g(-)NK cells) have been associated with cytomegalovirus (CMV) infection. However, the frequency of g(-)NK cells in a CMV-endemic area (i.e., Korea) has not yet been studied. We examined the frequency of g(-)NK cells and expression of CD57 on NK cells in cord blood (CB) and adult blood (AB). METHODS: Of the 24 AB samples collected, 95.8% (23/24) were CMV IgG(+)/IgM(-), while 100% of the 13 healthy CB samples were CMV IgG(+)/IgM(-). We performed whole-blood flow cytometry assays to analyze intracellular FcRγ and CD3ζ expression of CD3(-)/CD56(dim) NK cells from 13 CB and 24 AB samples, and surface CD57 expression on CD3(-)/CD56(dim)/CD16(+) NK cells from 13 CB and 19 AB samples. RESULTS: All CMV seropositive AB samples contained g(-)NK cells (23/23), and the median proportion of g(-)NK cells in the CD3(-)/CD56(dim) NK cell pool was 35.0% (range: 11-77%). CD57(+) NK cells in the CD3(-)/CD56(dim)/CD16(+) NK cell population were detected in all 19 AB samples tested, but not in any CB samples. CONCLUSIONS: Our data suggest that g(-)NK cells and CD57(+) NK cells are present at a very high frequency in CMV-seropositive AB, but rare in CMV-naïve CB.
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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 | 0.001 | 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".