Additional file 1 of A therapeutic target for CKD: activin A facilitates TGFβ1 profibrotic signaling
Bibliographic record
Abstract
Additional file 1: Figure S1. Follistatin does not inhibit early Smad3 activation by TGFβ1. MC were treated with follistatin for 30 min prior to the addition of TGFβ1 for 30 min. Smad3 phosphorylation was assessed by immunoblotting. ****P < 0.0001; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S2. Activin A supports TGFβ1 profibrotic effects in renal fibroblasts. Follistatin (FST) and actA neutralization attenuated TGFβ1-induced fibronectin (FN), α-smooth muscle actin (αSMA) and connective tissue growth factor (CTGF) upregulation as well as Smad3 activation at 48 h (n = 5–8). *, **, ***, ****P < 0.05, 0.01, 0.001, 0.000; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S3. Confirmation of specificity of the actA neutralizing antibody in MC. The neutralizing antibody for actA prevents actA, but not actB, induction of Smad3 transcriptional activity at 24 h as assessed by the CAGA12 luciferase reporter (n = 6). **, ****P < 0.01, 0.0001; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S4. ActA inhibition prevents profibrotic gene upregulation by TGFβ1 in MC. Increased fibronectin (FN), collagen Iα1 (ColI) and α-smooth muscle actin (αSMA) transcripts by 24 h of TGFβ1 were attenuated with a neutralizing actA antibody (n = 6). **, ***P < 0.01, 0.001; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S5. ActA enables renal fibroblast proliferation, migration and gel contraction. (a) Increased cell proliferation induced by TGFβ1 (24 h) is significantly decreased by both follistatin and a neutralizing actA antibody (n = 3). (b) TGFβ1 increased wound closure after 24 h in a scratch assay. This was inhibited by both follistatin and an actA neutralizing antibody (n = 3). (c) TGFβ1 induced collagen gel contraction after 72 h, which was prevented by follistatin and an actA neutralizing antibody (n = 3). *, **P < 0.05, 0.01; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S6. TGFβ1 induces activin A, but not activin B production in human proximal tubular cells. TGFβ1: (a) upregulates actA, but not actB, transcript levels at 24 h (n = 6–9); (b) induces actA secretion in a dose-dependant manner (0.5–5 ng/ml TGFβ1) (n = 3); (c) has no effect on actB secretion at 24 h (n = 3). **, ***, ****P < 0.01, 0.001, 0.0001; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S7. TGFβ3 induces actA synthesis and secretion in MC. ELISA shows a small increase in both a) actA secretion into the medium (n = 3) and b) cellular actA levels in response to 24 h of TGFβ3 treatment (n = 3). **P < 0.01; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S8. In MC, 24 h TGFβ1 increases transcript levels for activin type I and II receptors ALK4 and ActRIIA/B respectively. This is dependent on activin signaling itself as it is inhibited by follistatin (n = 3). *, **, ***P < 0.05, 0.01, 0.001; one-way ANOVA with Tukey’s multiple comparisons post hoc test. Figure S9. ActA does not regulate the activation of Smad2 by TGFβ1 in MC. Smad2 activation was assessed by its phosphorylation after 24 h of TGFβ1. Neither follistatin nor the actA neutralizing antibody prevented its activation (n = 3); one-way ANOVA with Tukey’s multiple comparisons post hoc test.
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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 | 0.002 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.906 | 0.158 |
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".