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Record W3013551109 · doi:10.1210/clinem/dgaa147

Response to Letter to the Editor: “IGSF1 Deficiency Results in Human and Murine Somatotrope Neurosecretory Hyperfunction”

2020· letter· en· W3013551109 on OpenAlexaff
Sjoerd D. Joustra, Ferdinand Roelfsema, A S Paul van Trotsenburg, Harald J. Schneider, Robert P. Kosilek, Herman M. Kroon, John G. Logan, Natalie C. Butterfield, Xiang Zhou, Chirine Toufaily, Beata Bąk, Marc‐Olivier Turgeon, Emilie Brûlé, Frederik J. Steyn, Mark Gurnell, Olympia Koulouri, Paul Le Tissier, Pierre Fontanaud, J. H. Duncan Bassett, Graham R. Williams, Wilma Oostdijk, Jan M. Wit, Alberto M. Pereira, Nienke R. Biermasz, Daniel J. Bernard, Nadia Schoenmakers

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2020
Typeletter
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsMcGill University
Fundersnot available
KeywordsHyperfunctionInternal medicineSomatotropic cellEndocrinologyBiologyMedicinePituitary glandHormone

Abstract

fetched live from OpenAlex

We thank Dr Faucz and colleagues for sharing their hypothesis that hypothyroidism, rather than growth hormone (GH) excess, may be the main driver for the acromegaloid facies observed in our patients with immunoglobulin superfamily member 1 (IGSF1) deficiency. This is a valid idea and one we gave careful consideration in the course of our study. Significantly, the majority (two-thirds) of affected participants received thyroxine replacement from shortly after birth. However, the presence or absence of acromegalic facies did not differ between untreated individuals and those on long-term levothyroxine at the time of facial photography. Although it is true that hypothyroidism may cause coarse facies, patients with IGSF1 deficiency typically have mild to moderate hypothyroidism, especially when compared with the more severe thyroid hormone deficits that occur in primary hypothyroidism. In our clinical experience, the facies we observe in some of our patients with IGSF1 deficiency are not found in the context of biochemically comparable congenital hypothyroidism due to other etiologies. Additionally, some individuals with IGSF1 deficiency are not diagnosed with central hypothyroidism until late into adulthood, possibly due to preservation of circulating triiodothyronine levels, which mitigate clinical and metabolic manifestations of hypothyroidism (1). Adult height is also maintained in IGSF1 deficiency, arguing against significant skeletal hypothyroidism (2). Clinical evaluation of our patients with IGSF1 deficiency revealed subtle facial coarsening without facial puffiness. Given the challenges in quantifying this impression objectively, we used facial image analysis to compare our patients’ facial characteristics with those of participants with confirmed acromegaly and with control participants. In the context of elevated median insulin-like growth factor 1 levels, increased GH secretion, and with other supportive clinical features (increased finger soft tissue thickness), we contend that an effect of excess GH remains a plausible explanation of our findings. The increased skeletal growth and organomegaly in Igsf1-deficient mice further support this contention. Nevertheless, we agree that further studies are required to investigate the molecular basis for our observations. The complex endocrinopathy seen in patients who are IGSF1 deficient mandates that the interpretation of their clinical phenotypes must derive from a consideration of the potential effects of multiple hormone abnormalities. growth hormone immunoglobulin superfamily member 1 Disclosure Summary: The authors have nothing to disclose.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.032
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0320.027
Insufficient payload (model declined to judge)0.0050.005

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 head0.043
GPT teacher head0.353
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations1
Published2020
Admission routes1
Has abstractyes

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