Nocturnal Hemodialysis Improves Erythropoietin Responsiveness and Growth of Hematopoietic Stem Cells
Bibliographic record
Abstract
Nocturnal home hemodialysis (NHD) is associated with an increase in hemoglobin level. We hypothesized that NHD enhances the removal of toxins of hematopoietic progenitor cells (HPCs), thereby improving HPC growth and function. Among 16 patients with ESRD, 2 mo of NHD nearly doubled Kt/V per session and significantly lowered both parathyroid hormone levels and serum phosphate concentration. In addition, treatment with NHD improved hemoglobin levels from 113 +/- 3 to 125 +/- 4 g/L (P = 0.03) without altering erythropoietin requirements or iron status. To assess whether NHD may enhance removal of HPC toxins, we collected paired plasma samples from the same patient during treatment with conventional HD and NHD. In vitro, growth of erythroid (BFU-E) and granulocytic (CFU-GM) colonies was superior when cultured with NHD plasma compared with conventional HD plasma. Differential gene expression profiles obtained from peripheral blood and HPC colonies revealed similar upregulation of genes responsible for HPC mobilization and growth and production of red blood cells. In conclusion, the enhanced clearance by NHD is associated with an improvement in HPC growth and a coordinated increase in expression of genes relevant to production of red blood cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".