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Record W4415451174 · doi:10.1210/jendso/bvaf149.053

MON-718 Clinical, Cardiometabolic, and Endocrine Characteristics of Bardet-Biedl Syndrome (BBS) in a Pediatric and Adult Cohort

2025· article· en· W4415451174 on OpenAlexaff
Doha Hassan, Mostafa Salama, Kalpana Muthusamy, Andrea M. Haqq, Seema Kumar

Bibliographic record

VenueJournal of the Endocrine Society · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCohortObesityRetrospective cohort studyPercentileEndocrine systemGrowth chartPolydactylyGrowth hormone deficiency

Abstract

fetched live from OpenAlex

Abstract Disclosure: D. Hassan: None. M. Salama: None. K. Muthusamy: None. A.M. Haqq: None. S. Kumar: None. Introduction: Bardet-Biedl syndrome (BBS) is a rare genetic condition characterized by obesity and considerable clinical and genetic heterogeneity. While cardiometabolic and endocrine comorbidities are commonly associated with BBS, data on their prevalence, particularly in children, remain limited. Objective: To assess the prevalence of cardiometabolic and endocrine comorbidities among pediatric and adult patients with BBS. Methods: This is a retrospective chart review of pediatric and adult patients with BBS evaluated in the outpatient setting at Mayo clinic. The cohort included individuals aged 0-50 years with either a clinical or genetic diagnosis of BBS, identified from January 1, 2000, onward. Demographic, anthropometric, phenotypic, and biochemical data were reviewed. Results: The study comprised 34 patients, including 9 children (median age 8 years (IQR: 3.5-11)) and 25 adults (median age 33.5 years (IQR: 27-42)). Females constituted 56% of the cohort and White individuals accounted for 76%. The median age at diagnosis of BBS was 9 years (IQR: 3-16). Phenotypic characteristics included retinal dystrophy in 33% of children and 92% of adults, polydactyly in 78% of children and 52% of adults, and learning disabilities in 56% of children and 52% of adults. Obesity was prevalent in 56% of children and 80% of adults. Among children, their median maximum BMI % of the 95th percentile was 149% (IQR: 136-163%). Adults had a a median maximum BMI of 50 kg/m² (IQR: 43-55). There was insufficient data to determine the onset of hyperphagia; however, the median age of obesity onset for the cohort was 7 years (IQR: 4-11). No cases of diabetes or prediabetes were identified among children, whereas 40% of adults were diagnosed with type 2 diabetes. Cardiometabolic characteristics included hypertension in 11% of children and 48% of adults, kidney dysfunction in 33% of children and 56% of adults. Dyslipidemia was noted in 22% of children and 44% of adults, with median triglyceride levels 133 mg/dL (IQR: 93-153) in children and 142 mg/dL (IQR: 120-200) in adults. No cases of cardiovascular disease were identified in children, whereas 8% of adults were diagnosed with the condition. Endocrine characteristics included hypothyroidism in 11% of children and in 24% of adults. Of the 34 patients, genotype data were available for 28 individuals (82%). The most prevalent genotype was BBS1, comprising 27% of the cases. This was followed by BBS2 and BBS10, which each accounted for 15% of the cohort. Genotypes BBS4, BBS6 (MKKS2), IFT172, and SCLT1 were each observed in 3% of the cohort. Conclusion: This study highlights the significant clinical, cardiometabolic, and endocrine burden associated with BBS across children and adults. These findings underscore the importance of early and comprehensive multidisciplinary management of BBS. Keywords: Bardet-Biedl syndrome, obesity, cardiometabolic, endocrine comorbidities. Presentation: Monday, July 14, 2025

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.264
Teacher spread0.260 · 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 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
Published2025
Admission routes1
Has abstractyes

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