Alterations in lymphocyte function and relation to phospholipid composition after burn injury in humans
Bibliographic record
Abstract
OBJECTIVE: Lymphocyte functions are dependent on fatty acid composition of membranes, and impaired functions can predispose patients to infection after burn injury. The current study was designed to describe changes in lymphocyte-phospholipid composition and lymphocyte-related immune functions from early to late recovery time points after burn injury. DESIGN: Prospective observational. SETTING: Firefighter's Burn Treatment Center, University of Alberta Hospital, Edmonton, Alberta, Canada. PATIENTS: Subjects (n = 10) with >10% total body surface burn area. MEASUREMENTS AND MAIN RESULTS: Blood was drawn from subjects at specific time points (0 days to >50 days) after burn injury. Fatty acid composition of the major phospholipid classes of isolated lymphocytes was determined by using gas liquid chromatography. Lymphocyte phenotypes and proliferation ([(3)H]-thymidine uptake and interleukin-2 and interferon-gamma production) in response to mitogens were determined. Lymphocyte phospholipid 20:4n-6 content was 30% to 60% lower early compared with late postburn time points (p <.001). Interferon-gamma production by stimulated cells was found to negatively correlate with n-3 content (r =.7, p =.008). The expression of CD25 on antigen-mature CD8+ cells was associated with higher proliferative responses (r =.88, p <.004). Proportion of CD8+ cells was lower, and the proportion of activated monocytes was higher early compared with late postburn (p <.05). Natural killer cell cytotoxicity was low early after burn and increased with recovery. CONCLUSIONS: The results of this preliminary study suggest that immune activation occurs between the second and third week after burn injury, which is associated with changes in 20:4n-6 and n-3 fatty acid content of lymphocyte phospholipid. This study suggests that there is release or impaired synthesis of 20:4n-6 early after burn injury that may be related to functional changes in immune cells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".