Microfluidic determination of lymphocyte vascular deformability: effects of intracellular complexity and early immune activation
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.
Bibliographic record
Abstract
Despite the critical importance of mechanical (rheological + extrudability) deformability in the vascular flow of lymphocytes, it has been poorly investigated due to the limitations of existing technological tools. Microfluidics analysis of leukocyte deformability offers significant advantages in that it offers high throughput, large sample population and the ability to analyze a heterogeneous population. These advantages are in stark contrast to previous approaches that focused on single cell measurements. Importantly, the flow characteristics of microfluidic devices more closely model vascular deformability in that shear stress is applied forcing leukocyte passage through micropores of designed size. The modeling of vascular flow has been further enhanced by the development of a microfluidic ratchet device that introduced an oscillatory flow. As demonstrated in this study, the microfluidic ratchet device was able to separate human peripheral blood leukocyte subsets (i.e., monocytes and lymphocytes) based on differential deformability profiles. Furthermore, morphologically similar lymphocyte subsets (CD4, CD8 and NK) could also be separated. The subset separation was observed to be largely due to differences in their intracellular complexity (i.e., granule content) with granule-positive T lymphocytes and NK cells being less deformable than granule-negative lymphocytes. Moreover, upon immune activation, deformability of the de-granulated lymphocytes increased consequent to the decrease in cytoplasmic granularity/viscosity. This study for the first time demonstrates that leukocytes subsets have differential deformability profiles and that intracellular granularity/degranulation significantly impacts the lymphocytes' mechanical properties. These findings could be of clinical value as biomarkers of lymphocyte activation state and potential disease processes.
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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 | 0.001 |
| 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 it