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Record W2126387429 · doi:10.1093/ndt/gfq567

Kidney and liver cysts in autosomal dominant polycystic kidney disease

2010· editorial· en· W2126387429 on OpenAlexaff
Daniel G. Bichet

Bibliographic record

VenueNephrology Dialysis Transplantation · 2010
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsAutosomal dominant polycystic kidney diseaseCystMedicinePolycystic kidney diseasePathologyPolycystic liver diseaseKidneyKidney diseaseDiseaseCystic fibrosisLiver diseaseAutosomal Recessive Polycystic Kidney DiseasePKD1Internal medicine

Abstract

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Autosomal dominant polycystic kidney disease (ADPKD) in humans is characterized by a chronic, slowly progressive course in which tissue-displacing, fluid-filled cysts increase in size and number throughout the lifetime of an individual [1]. Molecular genetic studies of human cyst epithelial cells suggest that the disease is caused by a genetic mutation which, with a ‘second hit’, promotes the cystic features; therefore, the disease is recessive on a molecular level [2]. Cysts ultimately lead to necrosis, fibrosis and kidney failure in middle age. As nephrologists, we like images, measurements and mouse models of progressive kidney disease. The liver and cyst growth evaluation done by Doctor and his colleagues, and published in this issue [3], provides me with the opportunity to review mouse models and measurements of cyst progression in experimental and human polycystic kidney disease and polycystic liver disease, as seen in ADPKD, a ‘cholangiociliopathy’ [4]. Mouse lines with targeted mutations in Pkd1 or Pkd2, respectively the mouse genes responsible for the equivalent human PKD1 and PKD2 diseases, are powerful tools to study the pathogenesis of the disease and to test new potential therapies. Doctor et al. used here the Pkd2(WS25/−) line [5] bearing a local duplication of the 5′ end of Pkd2 (exon and intron 1). This event resulted in an unstable allele with reversion by intragenic homologous recombination back to a wild-type configuration, or conversion to a true knockout configuration resulting in animals with renal and hepatic disease of various severities that closely mimic human ADPKD. Piontek [6] commented that somatic mutations in that model were random and unregulated, and that there was a possibility for the local duplication to revert to a normal allele by post-mitotic recombination and a time uncertainty about the second hit somatic event. To address these limitations, Piontek et al. developed mice with a floxed allele of Pkd1 (Pkd1cond/cond) [6,7] and were able to induce Pkd1 inactivation at various time points. They showed that inactivation before postnatal Day 13 resulted in severe cystic kidneys within 3 weeks, whereas inactivation at Day 14 and later resulted in cysts only after 5 months. Piontek et al. [7] also demonstrated using nephron segment-specific markers that cysts originated from all tubular segments and were not restricted to collecting duct cells. Natoli et al. [8] used this conditional knockout and two nephronophthisis (jck and pcy) models to demonstrate the beneficial effect of glucosylceramide inhibition. They reasoned that since sphingolipids and glycosphingolipids are major regulators of increased proliferation, apoptosis, and activation of growth regulatory pathways, all mechanisms known to be involved in PKD and nephronophthisis, and since the multiple molecular mechanisms contributing to PKD, including aberrant cilia-cell signalling, intracellular calcium dysregulation, Wnt pathways, cAMP-activated proliferation and the Akt-mediated target of rapamycin (mTOR) pathway could all involve glucosylceramide accumulation, then glycosphingolipid modulation could be a new approach to treat hereditary cystic diseases. Indeed, blockade of kidney glucosylceramide accumulation inhibited cystogenesis in Pkd1 conditional mice as well as in jck and pcy mice. Sphingolipids and glycosphingolipids seem then to be actively involved in cell recognition, proliferation, apoptosis and cell signalling [9]. Images of kidney sections of cystic mice treated with the inhibitor of glycosphingolipid synthesis demonstrated a remarkable decrease in the cysts observed [8]. To sum up, in the mouse models of PKD, there is now an impressive demonstration of less cyst formation and preservation of renal function using non-peptide vasopressin V2 receptor, mTOR inhibitors [1] and kidney glucosylceramide inhibitors. How can these remarkable advances obtained in experimental models be translated to decrease cyst formation and preserve renal function in human PKD? The most critical challenge to study any drug for human ADPKD is the selection of end points that are clinically relevant, technically achievable and acceptable by regulatory precedent. Quantitative magnetic resonance imaging methods developed in the Consortium for Radiologic Imaging for the Study of Polycystic Kidney Disease (CRISP) provided accurate estimates of change in renal volume related to renal function: an increase in renal volume of 63.4 mL/year was found [10,11]. A baseline total kidney volume > 1500 mL in 51 patients was associated with a decrease in glomerular filtration rate by 4.3 ± 8.07 mL/min/year. As renal growth correlated with a decline in GFR in the subgroup of patients whose total kidney volume was > 1500 mL, it was reasoned that effective therapies should slow or stall renal enlargement and, by extrapolation, preserve renal function [12]. However, in the 2-year, placebo-controlled trial of the mTOR inhibitor everolimus, testing > 400 patients with a baseline renal volume > 1500 mL, no improvement of estimated GFR was observed; yet, there was a slowing of the increase in total kidney volume. In fact, as underlined by Watnick and Germino [12], after a treatment improvement, eGFR declined more rapidly in the everolimus group. In the same issue of the New England Journal of Medicine, good renal function (GFR > 70 mL/min/1.73 m2) and an average kidney volume of 1 L were observed in sirolimus against placebo in 100 patients with ADPKD. Sirolimus did not slow kidney growth [13]. The Tolvaptan Efficacy and Safety in Management of Polycystic Kidney Disease and its Outcome (TEMPO) study involves > 1000 patients and prospectively evaluates progression of renal size and kidney function in a placebo-controlled trial with results expected in 2012. Therefore, there is no published demonstration in placebo-controlled trials that any of the pathophysiological pathways identified and tested in mouse studies are amenable to significant improvement or halt progression. It is a formidable task to assess the effects of therapeutic interventions in slowly progressing kidney diseases such as ADPKD where there might be some degree of renal compensation for months masking any subtle decrease in GFR. The paper by Doctor and colleagues is the second detailed study reporting precise measurements of renal and liver cystogenesis in the same mouse model. Doctor et al. used magnetic resonance imaging, and Stroope et al. [4] used microcomputed tomography scanning. Their results are remarkably similar: at 4 months, kidneys were increased by 40% (Doctor et al., this issue), or cystic volumes represented 40% of kidney parenchyma in 5–7-month-old mice [4]. Hepatic cyst volumes increased from 12% (in 5–8-month-old mice) to 21.6% (9–12-month-old mice). Stroope et al. wrote that, in Pkd2(WS25/−) mice, cystic livers were markedly enlarged occupying the greater part of the abdominal cavity. Of interest, hepatic cysts were lined with single or multiple layers of squamous cholangiocytes, and cystic cholangiocyte cilia were short and malformed, whereas in renal cysts, they appear normal. The rate of cholangiocyte and renal cell proliferation was markedly increased compared to wild type mice [4]. In conclusion, diverse animal models of renal and liver cystogenesis are being progressively deciphered and are providing important tools to understand the pathogenesis of human cystic diseases and to test new compounds intended to stop cyst formation or growth. Conflict of interest statement. None declared.

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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)0.004
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0030.001
Research integrity0.0120.021
Insufficient payload (model declined to judge)0.0030.002

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 head0.003
GPT teacher head0.222
Teacher spread0.219 · 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
GenreEditorial

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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Citations1
Published2010
Admission routes1
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