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Record W1542571401 · doi:10.1071/rdv16n1ab65

65 RARE AND OFTEN UNRECOGNIZED CEREBROMENINGITIS AND HEPATOPNEUMONIC CONGESTION ARE MAJOR CAUSES OF SUDDEN DEATH IN CLONED MALE PIGLETS

2004· article· en· W1542571401 on OpenAlexafffund
M.R. Park, S.K. Cho, J.Y. Park, K.M. Kim, Young-Suk Choi, DaeJin Kwon, Kyu‐Chan Hwang, U.H. Tae, Won-rak Son, Seung Sam Paik

Bibliographic record

VenueReproduction Fertility and Development · 2004
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsUniversity of Guelph
FundersInternational Council for Canadian StudiesNatural Sciences and Engineering Research Council of CanadaTürkiye Bilimsel ve Teknolojik Araştırma KurumuOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsFetusBiologyUterusAndrologySpleenOvaryEmbryoLungPhysiologyInternal medicineEndocrinologyMedicinePregnancyImmunology

Abstract

fetched live from OpenAlex

In this study, we investigated the relationship between the sex of cloned pigs and sudden infant death syndrome (SIDS). Three cell lines (2 male and 1 female) were obtained from F1 fetuses derived from 3 different dams (Yorkshire) inseminated by the same sire (Landrace); one female fibroblast cell line was obtained from a Duroc-strain fetus acquired from a slaughterhouse, the age of the fetus unknown. The fetal fibroblast cells were cultured in DMEM supplemented with 10% fetal bovine serum under 5% CO2 in air at 37°C. For NT, we used the 4 cell lines described above. All 37 cloned piglets derived from 10 pregnant recipients were alive at term and began breathing readily. Of those piglets born, 18/22 males and 5/15 females died within 2 months of age. A total of 350 paraffin blocks from 18 deceased cloned male piglets and 90 paraffin blocks from six age-matched normal control piglets were prepared from the midbrain, medulla oblongata, liver, lung, kidney, spleen, small and large intestine, thymus, uterus, placenta, ovary, testis, skin, and skeletal muscle. We found that the birth weights of male clones were 57% lower than those of control age- and sex-matched piglets. Piglets with low birth weight (<900 g) had more than twice the risk of SIDS relative to those piglets weighing more than 1000 g. The low birth weights of the cloned male piglets (0.84 ± 0.05 kg) were not merely an artifact, as the average birth weights of cloned female piglets (1.47 ± 0.09 kg) were not lower than weights of piglets produced by AI-derived control female piglets (1.36 ± 0.12 kg). An initial examination of brain samples from 18 cloned male piglets that died soon after birth identified seven piglets with meningitis characterized by severe neutrophilic inflammation in the temporal brain lobes (38.8%, 7/18). We verified meningitis when more than 1000 neutrophils were counted per cubic millimeter of tissue. Next, we found hepatopneumonic congestion (16.6%, 3/18). The deceased male clones with meningitis showed extensive neuronal cell death and blood-brain barrier damage, whereas cloned piglets with congestion had fewer and larger alveolar air sacs. Extensive alveolar cell death, especially of pneumocytes and the bronchial epithelium, was confirmed by TUNEL assay. Lung and liver congestion may be caused by a slowly flowing blood stream from heart, resulting in CO2 and O2 exchange problems. Although the gross anatomy of the cloned male piglets was normal, they were associated with other severe handicaps, the commonest being leg abnormality which occurred in 33% (6/18) of dead male cloned piglets followed by Leydig cell hypoplasia and short face. Even though 4 of 41 AI-derived control piglets died within 1 week after birth, we could not find any anomalies in them. Thus, the present study suggests that our data might reflect sex difference but not cell type difference, and that death of the cloned male piglets might be caused by risk factors of sudden infant death syndrome such as low birth weight and multiple organ failure in conjunction with hepatopneumonic congestion and cerebromeningitis.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.620

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 head0.034
GPT teacher head0.271
Teacher spread0.237 · 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 designObservational
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
Published2004
Admission routes2
Has abstractyes

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