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Record W4296231606 · doi:10.1681/asn.2022070841

The Sweet Science of Glucose Transport

2022· letter· en· W4296231606 on OpenAlexaffabout
Vikas S. Sridhar, Joanne M. Bargman

Bibliographic record

VenueJournal of the American Society of Nephrology · 2022
Typeletter
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsChemistryMedicineInternal medicine

Abstract

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The maintenance of an osmotic gradient across the peritoneal membrane is essential to ultrafiltration (UF) in peritoneal dialysis (PD). Considering that glucose-based solutions remain the most frequently used solutions to generate this gradient, glucose transport across the peritoneal membrane is an important and clinically relevant process in PD. UF failure can be a limitation to long-term PD. Glucose exposure and associated alterations in the peritoneal membrane and peritoneal glucose transport are hypothesized to be key drivers of UF failure.1 An understanding of glucose transport in the peritoneum contributes to our understanding of UF-related complications in long-term PD, offering the potential to develop novel therapies. In this issue of JASN, Bergling et al.2 assess the contribution of glucose transporters (GLUTs) to peritoneal solute and water transport using known inhibitors of glucose transport. The three-pore model of peritoneal transport posits that intercellular “small pores” have radii of 40–55 Å and represent the majority of pores in the peritoneal microcirculation.3 The radius is significantly larger than the size of glucose molecules, resulting in unhindered diffusion down the concentration gradient from dialysate to blood. This movement of glucose out of the peritoneal cavity quickly diminishes the crystalloid osmotic gradient, limiting UF with glucose-based solutions to the first few hours of dwell time. Acquired UF failure over time has been hypothesized to be attributed to deleterious reduction in intercellular “small pore” fluid transport as well as interstitial changes that reduce hydraulic conductance of water.1 A connection between glucose transport and glucose-induced damage to peritoneal interstitial tissue has been proposed by Krediet,4 mediated by high levels of intracellular glucose. Impaired metabolism of high intracellular glucose alters the ratio of reduced nicotinamide adenine dinucleotide (NADH) to oxidized nicotinamide adenine dinucleotide (NAD+), mimicking a state of intracellular hypoxia. This “pseudohypoxic” state is hypothesized to promote tissue-level fibrosis and angiogenesis. Altered intracellular glucose metabolism first requires the transport of glucose from dialysate into peritoneal interstitial cells, introducing a role for peritoneal glucose transport in the pathophysiology of UF failure. GLUTs are divided into facilitative GLUTs, which enable glucose transport down a concentration gradient, and sodium glucose cotransporters (SGLTs) that couple glucose transport into the cell with sodium. Seven isoforms of GLUT and six of SGLT are currently known to exist. There have been a limited number of studies exploring GLUT expression in the peritoneum. Studies in human peritoneal mesothelial cells have demonstrated expression of GLUT1, GLUT3, SGLT1, and even SGLT2, although results have been inconsistent among studies.45–6 Exposure to high-glucose solutions in cell culture and animal models has also been demonstrated to upregulate GLUT expression, but again, results have varied across studies.4 The exact location of these transporters within the peritoneum and their role in PD remain unclear. Krediet4 hypothesized that increased uptake of glucose into the peritoneal interstitium, possibly facilitated by GLUT1, reduces the peritoneal glucose osmotic gradient and UF. Increased intracellular glucose and the associated pseudohypoxia are also hypothesized to upregulate hypoxia inducible factor-1, which increases GLUT1 expression, leading to a cycle that promotes UF failure over time.4 Novel applications of drugs affecting glucose transport in the field of PD offer additional insights into interactions between glucose transport and UF. Bergling et al.2 present results of a third study in a series of experiments exploring the effects of multiple glucose transport inhibitors in a rat model of PD. In the first of the three studies, the investigators demonstrated that the SGLT2 inhibitor empagliflozin had no effects on peritoneal glucose uptake.7 This contrasts with other studies where SGLT2 inhibition was associated with reduced peritoneal fibrosis and microvessel density, reduced peritoneal glucose absorption, and improved peritoneal UF.8,9 Considering the conflicting results and the absence of human data, it remains to be seen whether SGLT2 inhibitors have the potential to lower peritoneal glucose exposure and risk of acquired UF failure. Physiologically, however, peritoneal cells do not appear to absorb sodium, a finding that would be expected to accompany SGLT2-mediated glucose transport. For patients on PD, there is a strong rationale for using SGLT2 inhibitors to preserve residual kidney function and urine volume, although there is minimal experience or clinical trial evidence for their use in this population. SGLT2 inhibitors exert their effects in the proximal tubule, allowing synergism with other diuretics, such as loop diuretics. Furthermore, the cardiac benefits of SGLT2 inhibitors seem to be independent of kidney function and diabetes status, leading to benefits across a wide range of GFRs.10 The rationale for this study by Bergling et al.2 emerges from the second study of the series where phlorizin, a nonselective SGLT inhibitor, reduced peritoneal glucose absorption in the same rat model.11 The third study was conducted to distinguish if these effects were meditated by SGLT1 inhibition (considering the lack of effect with empagliflozin) or GLUT inhibition by the phlorizin metabolite, phloretin. Bergling et al.,2 therefore, repeated the experiments with phloretin and mizagliflozin, an SGLT1 inhibitor. Although mizagliflozin did not appear to have any effect on glucose transport, nonspecific GLUT inhibition with phloretin reduced peritoneal glucose absorption and improved median UF by >50%, presumably by prolonging the glucose osmotic gradient. These results are interesting, particularly considering novel GLUT inhibitors under development. With the existence of established and novel agents that inhibit glucose transport and the presence of conflicting results in preclinical studies, the time is ripe for human mechanistic and clinical trials to study the physiologic and clinical effects of glucose transport inhibitors in patients on PD. Considering the systemic effects of these agents and the ubiquitous nature of GLUTs, a key focus of these studies will be the safety and tolerability of glucose transport inhibitors in patients on PD. Disclosures J.M. Bargman has been a speaker and consultant for Baxter Healthcare and DaVita Healthcare Partners and a consultant for GSK. J.M. Bargman also reports consultancy agreements with Akebia, Bayer, Novartis, and Otsuka; honoraria from Akebia, Amgen, Baxter Healthcare, DaVita Healthcare Partners, and Glaxo Smith Kline; an advisory or leadership role on the editorial boards of CJASN, JASN, and Peritoneal Dialysis International; and speakers bureaus for Glaxo Smith Kline. V.S. Sridhar is supported by a Banting and Best Diabetes Centre postdoctoral fellowship at the University of Toronto, a Canadian Institutes of Health Research Canada Graduate Scholarship Doctoral Award, and the Department of Medicine Eliot Phillipson Clinician Scientist Training Program. V.S. Sridhar has received travel and conference support from Merck Canada. Funding None.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0060.008
Open science0.0020.004
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0090.003

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.

Opus teacher head0.013
GPT teacher head0.268
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations3
Published2022
Admission routes2
Has abstractyes

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Same venueJournal of the American Society of NephrologySame topicDialysis and Renal Disease ManagementFrench-language works237,207