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Evaluation of thyroglobulin expression in murine reproductive organs during pregnancy

2010· article· en· W2009962918 on OpenAlexaff
Ali Moravej, Mahmood Jeddi‐Tehrani, Ali R. Salek‐Moghaddam, Pouneh Dokouhaki, Roya Ghods, Hodjatallah Rabbani, Golnaz E. Kazemi‐Sefat, Mehdi Shahbazi, Amir‐Hassan Zarnani

Bibliographic record

VenueAmerican Journal of Reproductive Immunology · 2010
Typearticle
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThyroglobulinPregnancyAndrologyBiologyExpression (computer science)MedicineEndocrinologyThyroidGeneticsComputer science

Abstract

fetched live from OpenAlex

Citation Moravej A, Jeddi‐Tehrani M, Salek‐Moghaddam AR, Dokouhaki P, Ghods R, Rabbani H, Kazemi‐Sefat GE, Shahbazi M, Zarnani AH. Evaluation of thyroglobulin expression in murine reproductive organs during pregnancy. Am J Reprod Immunol 2010; 64: 97–103 Problem In pregnant women with antithyroglobulin antibody, prevalence of abortion is 2–4 fold higher compared to normal controls. Direct effect of such harmful autoantibodies on female reproductive organs may serve a role in pregnancy loss. Method of study Expression of thyroglobulin in decidua, placenta, and ovary of pregnant Balb/c mice ((Balb/c×Balb/c and Balb/c×C57BL/6) during early, middle, and late stages of pregnancy was evaluated. Expression of thyroglobulin was investigated in these tissues by semi‐quantitative RT‐PCR. In addition, polyclonal antithyroglobulin antibody was produced, and expression of thyroglobulin protein in aforesaid tissues was evaluated by immunohistochemistry and dot‐blot analysis. Results The results showed that thyroglobulin message is not expressed in placenta, decidua, or ovary in any stages of pregnancy. The same results were obtained at the protein level. Conclusion It is likely that antithyroglobulin antibodies have no direct detrimental effect on such organs in patients with thyroid autoimmunity suffering from recurrent abortion.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.509
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.293
Teacher spread0.282 · 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".

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Citations12
Published2010
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Reproductive ImmunologySame topicThyroid Disorders and TreatmentsFrench-language works237,207