1148-P: Glycoprotein Acetyls (GlycA) Associate with Intraglomerular Hemodynamic Dysfunction, Albuminuria, Central Adiposity, and Insulin Resistance (IR) in Youth with Type 1 Diabetes (T1D)
Bibliographic record
Abstract
GlycA is a biomarker of systemic inflammation and cardiovascular disease, yet little is known about this biomarker in T1D. We examined the associations among GlycA, central adiposity, IR, and early kidney injury in adolescents with T1D. Glomerular filtration rate (GFR) and renal plasma flow (RPF) by iohexol and p-aminohippurate clearance, respectively, urine albumin-to-creatinine ratio (UACR), central adiposity by dual-energy x-ray absorptiometry (DXA), and estimated insulin sensitivity (eIS) by the CACTI equation were assessed in youth with T1D (n=50, 16.0±3.0 years, 50% female, HbA1c 8.7±1.3%, T1D duration 5.7±2.6 years, UACR 6 [5-14] mg/g, GFR 189±40 mL/min). Intraglomerular pressure (PGLO) was estimated by the Gomez equations. Concentrations of GlycA were quantified by targeted nuclear magnetic resonance spectroscopy. Correlation and multivariable linear regression analyses were performed. GlycA was higher in girls vs. boys (1.05±0.26 vs. 0.84±0.15 mmol/L, p=0.001), and in participants who were overweight or obese vs. normal weight (1.12±0.23 vs. 0.87±0.20, p=0.0004). GlycA correlated positively with estimated PGLO (r=0.52, p=0.001), UACR (r=0.53, p<0.0001) and trunk mass (r=0.45, p=0.001) and negatively with eIS (r=-0.36, p=0.01). All relationships remained significant after adjustment for age, sex, and HbA1c. In youth with T1D, GlycA, a biomarker of inflammation, was found to be higher in girls with T1D and those of overweight/obese habitus, compared to boys with T1D. Additionally, GlycA associated with parameters of early kidney dysfunction, central adiposity, and IR. Disclosure T.Reinicke: None. S.Gross: None. D.Cherney: Other Relationship; Boehringer Ingelheim-Lilly, Merck, AstraZeneca, Sanofi, Mitsubishi-Tanabe, Abbvie, Janssen, Bayer, Prometic, BMS, Maze, Gilead, CSL-Behring, Otsuka, Novartis, Youngene, Lexicon and Novo-Nordisk, Research Support; Boehringer Ingelheim-Lilly, Merck, Janssen, Sanofi, AstraZeneca, CSL-Behring and Novo-Nordisk. T.B.Vigers: None. L.Pyle: None. L.Driscoll: None. F.H.Mahmud: None. A.Dart: None. M.E.Pavkov: None. R.G.Nelson: None. P.Bjornstad: Advisory Panel; AstraZeneca, Novo Nordisk, Lilly, Horizon Therapeutics plc, Boehringer Ingelheim (Canada) Ltd., LG Chem, Consultant; Bayer Inc., Bristol-Myers Squibb Company. A.Caldwell-mcgee: None. C.Birznieks: None. D.Carrasco: None. M.Marcovecchio: None. K.J.Nadeau: None. K.L.Tommerdahl: None. M.Pauley: None. J.K.Snell-bergeon: None. Funding Junior Research Fellowship Award
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".