Increased intestinal phosphate absorption, an often‐overlooked effect of vitamin D
Bibliographic record
Abstract
The oldest known and most important function of the active form of vitamin D, calcitriol, is to increase intestinal calcium absorption, and thus serum calcium concentration. The mechanism of action whereby calcitriol enhances intestinal calcium absorption is through increasing active transcellular and probably also passive paracellular calcium absorption (reviewed in Christakos et al. 2011). The former effect is primarily mediated by increasing transcription of the apical calcium channel Trpv6, which enhances intestinal epithelial calcium entry and thus calbindin-D9K expression. Calcitriol probably enhances paracellular calcium absorption by increasing the transcription of claudin-2 and claudin-12, which contribute intestinal paracellular calcium pores. However, when luminal calcium levels are lower than plasma, having more intestinal calcium permeability may be counterproductive, and enhance calcium secretion and thus loss in faeces (Curry et al. 2020). Clearly there are further questions with respect to how intestinal calcium absorption is increased in response to calcitriol. The second major effect of calcitriol on intestinal mineral transport is to increase phosphate absorption. However, much less is known about how calcitriol mediates this. Increased sodium phosphate cotransporter 2b (NaPi2b, also known as NaPi-IIb, NPTIIb, and NPT2b) protein expression has been implicated, but if other apical phosphate transporters contribute, and if paracellular phosphate absorption is enhanced by calcitriol is unknown. Paracellular phosphate absorption appears, like calcium, to be the predominant pathway by which these minerals are absorbed from the gut (King et al. 2018). Yet the molecular details of the paracellular pathway are completely unknown. Moreover, plasma phosphate levels, which are in part regulated by intestinal absorption, associate with all-cause mortality, even in the 'normal' range, making this area of enquiry all the more important. A paper by Hernando et al. (2021) in this issue of The Journal of Physiology addresses this question. To delineate the mechanism whereby calcitriol increases intestinal phosphate absorption, Hernando et al. (2021) administered calcitriol to wild-type and Slc34a2 knockout (KO) mice (note Slc34a2 encodes the sodium-phosphate cotransporter, NaPi2b) and examined intestinal phosphate absorption. They found no effect of calcitriol administration on phosphate absorption in the ileum. However, Ussing chamber studies performed on the jejunum ex vivo demonstrated increased radioactive phosphate flux in wild-type, but not Slc34a2 KO mice, in the presence of low apical phosphate concentration (i.e. under conditions strongly favouring transcellular phosphate absorption). Consistent with the functional studies, NaPi2b protein but not Slc34a2 mRNA, was increased in the jejunum of wild-type mice in response to calcitriol. These results strongly support NaPi2b mediated apical phosphate uptake being the only transcellular pathway responsible for increasing small intestinal phosphate absorption in response to calcitriol administration. The authors also interrogated the effect of calcitriol on the paracellular pathway. They did so by examining phosphate flux across jejunal and ileal segments ex vivo in Ussing chambers in the presence of large phosphate concentration gradients (70 mM, i.e. conditions strongly favouring paracellular diffusive flux). They did not observe a difference in paracellular phosphate absorption in either genotype in response to calcitriol. Although, interestingly, the Slc34a2 KO mice displayed reduced paracellular phosphate flux across the ileum by this method. To confirm that calcitriol had no effect on the paracellular pathway they determined paracellular phosphate permeability of the jejunum and ileum ex vivo in Ussing chambers by measuring phosphate to chloride bionic diffusion potentials. This failed to detect a difference in phosphate permeability in either genotype, before or after treatment with calcitriol. Thus, in the small intestine at least, it appears that calcitriol does not enhance intestinal phosphate absorption by increasing paracellular phosphate absorption. This work contributes much to our understanding of intestinal phosphate absorption but also raises some questions. Consistent with the data reported here, others have seen increased NaPi2b protein but not mRNA expression in response to calcitriol treatment, begging the question: by what post-translational mechanism does this occur? Hernando et al. (2021) report significant expression of Slc30a1 and Slc30a2 mRNA in the colon, although expression was not altered in the Slc34a2 KO animals nor by calcitriol. Protein expression was not assessed. However, this raises the possibility that there could be an effect of calcitriol on colonic phosphate absorption? Further, why was less paracellular phosphate flux observed in response to a large chemical gradient, across the ileum, but not the jejunum, of Slc34a2 KO mice? This is particularly intriguing as phosphate permeability was not lower in the ileum of the KO mice, and both the lumen negative potential difference and concentration difference across the tissue were the same in both genotypes. Moreover, why was this difference not observed in a previous study from this group (Knopfel et al. 2019)? Ultimately, this work convincingly demonstrates that NaPi2b is the sole small intestinal regulator of increased phosphate absorption in response to calcitriol and that there is no effect on paracellular phosphate absorption. It also serves to highlight a central question in the field: what is the molecular identity of the paracellular phosphate pore in the intestine? Dr Alexander has no competing interests to declare. Sole author. Research in the Alexander laboratory is funded by grants from the Women and Children's Health Research Institute, which is supported by the Stollery Children's Hospital Foundation, the Canadian Institutes of Health Research, the Kidney Foundation of Canada and the National Sciences and Engineering Research Council of Canada. Dr Alexander is a Stollery Science laboratory Distinguished Researcher and the Canada Research Chair in Renal Epithelial Transport Physiology.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".