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Record W2333288988 · doi:10.1180/minmag.2014.078.1.07

Replacement of hydroxylapatite by whewellite: implications for kidney-stone formation

2014· article· en· W2333288988 on OpenAlexaff
Ingo Sethmann, Bernd Grohe, Hans‐Joachim Kleebe

Bibliographic record

VenueMineralogical Magazine · 2014
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsWestern University
FundersDeutsche Forschungsgemeinschaft
KeywordsHydroxylapatiteCalcium oxalateKidney stonesChemistryOxalatePrecipitationDissolutionUrineSupersaturationNucleationCrystallizationChemical engineeringMineralogyInorganic chemistryBiochemistrySurgeryMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Kidney stones consisting predominantly of whewellite (calcium oxalate monohydrate, COM) are often found attached to hydroxylapatite (HA) plaques that form in the soft tissue of kidneys, cause lesions and become exposed to urine. Although the processes of stone formation are not entirely known, it is an established view that so-called Randall’s plaques serve as substrates for COM crystal nucleation and growth from correspondingly supersaturated urine. However, the results presented here suggest an additional mineral replacement process is involved. In an experimental approach, HA was reacted in 0.25 mM, 0.5 mM and 1.0 mM oxalate solutions with pH ranging from 4.5 to 7.5, simulating normal to harsh conditions encountered in urine. Extremely acidic solutions induce dissolution of HA crystals coupled with re-precipitation of the released Ca 2+ ions as COM on the HA surface. When, instead, bone was used as a substrate, being more similar to the pathological plaque (aggregated HA nanocrystals within an organic matrix), the HA-COM mineral-replacement reaction is induced even under much milder fluid conditions, commonly found in urine. Hence, a process of COM partly replacing and encrusting Randall’s plaque may take place in the urinary tract of idiopathic stone formers, representing a potential starting event for nephrolithiasis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.282
Teacher spread0.264 · 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 teacher head, not a consensus.

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

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".

Quick stats

Citations13
Published2014
Admission routes1
Has abstractyes

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