Additional file 1 of Recruitment of α4β7 monocytes and neutrophils to the brain in experimental colitis is associated with elevated cytokines and anxiety-like behavior
Bibliographic record
Abstract
Additional file 1: Fig. S1. Gating strategies for flow cytometric identification of α4β7 expressing monocytes and neutrophils in mouse blood. Gating proceeded as follows: exclusion of doublet cells followed by gating on forward scatter (FSC) and side scatter (SSC) areas to identify regions appropriate to define all live cells. Live cells were first gated on a CD3+ and CD3− gate. Within the CD3− gate, the population cells expressing the myeloid lineage marker CD11b were identified (density plot panel A). Within the CD11b+ subpopulation, neutrophils were identified as CD3−CD11b+ Ly6Clow Ly6G+ (density plot panel B). Monocytes were identified as CD3−CD11b+Ly6G−Ly6C+ and subdivided into two distinct subsets of classical monocytes (Ly6Chi) and non-classical (Ly6C−) monocytes (density plot panels B and C). Subsequently, α4β7 integrins positivity for each cell subpopulation was identified using an antibody that recognizes α4β7 heterodimeric complex based on the shift above the fluorescence-minus-one (FMO) controls (density plot panel D). Representative flow cytometry plots illustrating FMO controls for the gating strategy for α4β7 expression on circulating monocytes. Left panel shows the FMO control α4β7 expression results, and the right panel shows staining with full antibody panel. FMO boundaries separate true positive signals from negative signals by accounting for the spread of the negative population, as determined using the FMO control. Autofluorescence levels are affected by cell types and physiological conditions, which in turn can affect FMO controls. To mitigate the impact of any possible changes in autofluorescence levels as a result of changing the experimental conditions, the cells used in the control tubes, including the FMO controls, always included a mixture of cells that included all treatment groups. Fig. S2. The anti-Ly6G ab efficiently depleted neutrophils in C57BL/6J mice. Efficiency of the monoclonal antibody (mAb) anti-Ly6G (clone 1A8) to specifically deplete neutrophils in C57BL/6J mice was assessed using flow cytometry. The anti-Ly6G mAb (200 µg per mouse) efficiently depleted circulating neutrophils in vivo. Representative flow cytometry forward vs side scatter plots show the percentage of neutrophils in the total leukocyte population; isotype control treated (left panel) and anti-Ly6G-treated (right panel). The neutrophil gate is shown in the upper right box for each panel. Fig. S3. The anti-Ly6C antibody efficiently depleted classical monocytes but not neutrophils in C57BL/6J mice. The efficiency of the monoclonal antibody anti-Ly6C (100 µg per mouse) to specifically deplete classical monocytes in C57BL/6J mice was assessed using flow cytometry. Administration of anti-Ly6C efficiently depleted circulating classical monocytes but did not affect circulating neutrophils. A Representative flow cytometric histograms showing CD11b + Ly6G-Ly6Chi classical monocytes as a percentage of CD11b + cells; isotype control-treated (left panel), and anti-Ly6C-treated (right panel). B Representative flow cytometric histograms showing the percentage of Ly6G + neutrophils on CD11b + cells; isotype control treated (left panel) and anti-Ly6C-treated (right panel). Table S1. Macroscopic damage scores. Fig. S4. Colitis induces the rolling and adherence of leukocytes and the rolling of neutrophils along cerebral endothelial cells of male mice. Intravital microscopy was performed using a spinning disc confocal microscope. Videos were captured and analyzed to identify rolling and adhering of leukocytes in control and colitic mice. A Colitic male mice showed a significant increase in the rolling (t = 2.3, df 10, *p = 0.047, n = 5–8 mice/group) and adhering (t = 4.6, df 10, ***p < 0.001, n = 4–8 mice/group) of leukocytes in CECs. B Colitis significantly increases the rolling (t = 2.5, df 6, *p = 0.044; n = 4 mice/group) but not adhering (t = 1.2, df 6, p < 0.28; n = 4 mice/group) of neutrophils (Ly6G positive cells) in colitic male mice compared to controls. Table S2. Supplementary cytokine data table. Fig. S5. In vivo neutralization of α4β7 integrin or anti-MAdCAM-1 does not reduce anxiety-like phenotype in colitic mice. To investigate the effect of blocking α4β7 integrin or MAdCAM-1 on behavior, colitic female mice were assessed after anti-α4β7 or anti-MAdCAM-1 treatment mice. On day 4 and 6 of DSS treatment, the control group (n = 5) was administered sterile phosphate-buffered saline (PBS) 10 mL/kg, IP, while the DSS-treated mice were given either control IgG2a antibody (200 μg/mouse, IP; Bio X Cell; catalog #BE0089, n = 5), or anti-α4β7 integrin antibody (200 μg/mouse, IP; Bio X Cell; catalog #BE0034, n = 5) or on days 3 and 5 of DSS treatment, other mice were (n = 9) were administered sterile phosphate-buffered saline (PBS) 10 mL/kg, IP, while the DSS-treated mice were given either control IgG2a antibody (200 μg/mouse, IP; Bio X Cell; catalog #BE0089, n = 9), or anti-MAdCAM-1 (MECA-367; 200 μg/mouse; Bio X Cell; catalog #BE0035, n = 10) to investigate the role of integrins in behavioral changes. At peak colitis, mice were assessed for anxiety-like behavior using the elevated plus maze. A In colitic mice, anti-α4β7 did not significantly alter the percentage time spent in the open arms of the maze (F2, 12) = 0.18, P = 0.84; one-way ANOVA). B Similarly, anti-α4β7 did not significantly alter the percentage time spent in the closed arms of the maze (F(2, 12) = 3.0, P = 0.09; one-way ANOVA). C In colitic mice, anti-MAdCAM-1 did not significantly alter the percentage time spent in the open arms of the maze (F2, 25) = 0.64, P = 0.53; one-way ANOVA). D Similarly, anti-MAdCAM-1 did not significantly alter the percentage time spent in the closed arms of the maze (F(2, 25) = 0.69, P = 0.51; one-way ANOVA).
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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 | 0.001 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.903 | 0.144 |
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".