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Record W2742438749 · doi:10.2527/asasann.2017.046

046 Serum and urine metallotyping of preketotic and ketotic dairy cows reveals major alterations in multiple mineral elements

2017· article· en· W2742438749 on OpenAlex
Guanshi Zhang, Raju K. Mandal, David S. Wishart, Burim N. Ametaj

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Animal Science · 2017
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgy and Material Science
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsKetosisUrineKetone bodiesChemistryEndocrinologyInternal medicineMedicineMetabolismDiabetes mellitus

Abstract

fetched live from OpenAlex

Ketotic cows have elevated concentrations of ketone bodies or ketoacids (i.e., β-hydroxybutyric acid [BHBA], acetoacetic acid [AcAc], and acetone) in 3 body fluids including blood, urine, and milk. Both BHBA and AcAc are strong acids that cause ketoacidosis and affect physiological functions of various tissues. The objectives of the current study were to 1) investigate mineral alterations in both serum and urine of preketotic, ketotic, and postketotic cows and 2) identify potential predictive and diagnostic mineral biomarkers for ketosis in serum and urine. Metallotyping was performed in the serum and urine of 6 cases of ketosis and 20 control cows using inductively coupled plasma mass spectrometry at −8 and −4 wk, disease diagnosis week, and +4 and +8 wk relative to parturition. Univariate analysis of data was performed using the Wilcoxon–Mann–Whitney (rank sum) test provided by R (statistical significance: P < 0.05). Multivariate data analysis was processed by the MetaboAnalyst software. Results showed disturbances in concentrations of metals in the serum and urine of cows with ketosis at all 5 time points tested. The most important finding of this study was that 4 trace elements including Al, Fe, Mn, and As were persistently elevated in the serum of preketotic, ketotic, and postketotic cows. Moreover, 3 minerals (i.e., B, Al, and Rb) were increased in the urine of preketotic (8 and 4 wk prepartum) cows. It is interesting to point out that Al was the most elevated metal in the serum of preketotic cows at 8 and 4 wk prior to parturition at 91.4-fold (120.6 vs. 1.32 μM) and 78.12-fold (111.34 vs. 1.43 μM), respectively (P < 0.001). Similar alterations for Al were also detected in the urine samples of preketotic (i.e., 0.39 vs. 0.05 μM/mM creatinine at −8 wk [P < 0.001] and 0.16 vs. 0.05 μM/mM creatinine at −4 wk [P < 0.001]) cows in comparison with control cows. Because preketotic and ketotic cows were on a state of chronic metabolic acidosis, altered mineral elements in both serum and urine are thought to be related to the effects of acidosis on bone metabolism and urine excretion of metals. Findings from the current study might encourage development of early diagnostic biomarkers for risk of ketosis as well as new preventative intervention to lower the risk of ketosis in transition dairy cows.

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.

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)0.003
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.036
GPT teacher head0.298
Teacher spread0.262 · 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