MétaCan
Menu
Back to cohort
Record W2384934721

Light microscope structure of Vormela peregusna kidney and expression of AQP1,2 in kidney

2014· article· en· W2384934721 on OpenAlexaff
Zhang Chun-ya

Bibliographic record

VenueActa Theriologica Sinica · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsScience North
Fundersnot available
KeywordsKidneyReabsorptionUreaChemistryCreatinineEndocrinologyLoop of HenleInternal medicineBlood urea nitrogenEpitheliumMedullaRenal cortexBiologyPathologyBiochemistryMedicine
DOInot available

Abstract

fetched live from OpenAlex

Indices such as many kinds of blood inorganic ions and urea nitrogen were measured in this paper. The histological structure of kidney in Vormela peregusna was examined by using biological microscopy. The expression of Aquaporin1,2( AQP1,2) was tested using immunohistochemical and stereological quantitative methods,and the expression intensity of Aquaporin1,2( AQP1,2) was analyzed by using image pro-plus( IPP) image software. The results show that the concentration of K+,Na+,Cl-,Ca2 +in serum of Vormela peregusna is higher than that in rat,however P3+is lower than that in rat. Creatinine,glucose and total cholesterol in serum also are higher than those in rat. Urea nitrogen is much higher than that in rat,and may be related to living in the Minqing Gansu desert and eating rodents that have high protein content. The degree of concentration of urine is high because the ratio of medulla and cortex is 3. 65 ∶ 1 and medulla is wide. AQP1 positive cells were expressed in the epithelium of proximal the convoluted tubule and thin segments of the medullary loop,and AQP2 was mainly expressed in epithelial cells of collecting ducts. Thus,AQP1,2 may play an important role water reabsorption by the kidney and the concentration of urine,which regulated by the water balance of kidney.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.362

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 head0.006
GPT teacher head0.220
Teacher spread0.215 · 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 designBench or experimental
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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueActa Theriologica SinicaSame topicIon Transport and Channel RegulationFrench-language works237,207