Differential Role of Cation and Anion Exchange in Lymphocyte pH Regulation
Bibliographic record
Abstract
In lymphocytes, the Na+/H+ antiport is well suited to function in cytoplasmic pH (pHi) regulation. It is activated by departures from the physiological pHi and is thermodynamically poised to compensate for the tendency of the cells to become acidic. The driving force for H+ (equivalent) efflux is indirectly provided by the Na+ pump. Lymphocytes also possess a cation-independent anion (Cl-/HCO3-) exchange system, which, under the appropriate conditions, tends to restore pHi after an alkali load. Unlike the cation antiport, the source of energy driving the anion exchanger, i.e. the factors that determine the transmembrane Cl- distribution, is not well understood. The contribution of conductive pathways appears to be minimal, resulting in a marked difference between the membrane potential and ECl-. Instead, ECl- is very similar to EH+. Moreover, changes in the distribution of Cl- lead to alterations in the transmembrane delta pH and vice versa, suggesting a relationship between these parameters. Evidence is presented which suggests that the transmembrane distribution of HCO3-, dictated by delta pH, is a major determinant of the intracellular Cl- concentration, a process mediated by the anion exchanger. Thus, if Cl- is driven by the gradient of HCO3-, the cation-independent anion exchanger cannot play an active role in determining pHi. Instead, Cl-/HCO3- exchange may simply stabilize pHi by increasing the dynamic buffering power of the cells. Cation-independent Cl-/HCO3- exchange could be involved in pHi regulation only if coupled to a separate mechanism of intracellular Cl- accumulation, such as Na+-K+-2Cl- co-transport or an inward Cl- pump, which have not been detected in lymphoid cells.(ABSTRACT TRUNCATED AT 250 WORDS)
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".