Circulating Levels of TNF-α Are Associated with Impaired Glucose Tolerance, Increased Insulin Resistance, and Ethnicity: The Insulin Resistance Atherosclerosis Study
Bibliographic record
Abstract
OBJECTIVE: Although several epidemiological studies have investigated associations between TNF-α and insulin resistance, results have been inconsistent. We studied the relationship between TNF-α and glucose tolerance status as part of the Insulin Resistance Atherosclerosis Study. RESEARCH DESIGN AND METHODS: Serum concentrations of TNF-α were measured in 1558 individuals in a triethnic population across a spectrum of glucose tolerance. Insulin sensitivity and insulin secretion were assessed by a frequently sampled iv glucose tolerance test (FSIGT). RESULTS: Compared with those with normal glucose tolerance, circulating levels of TNF-α were elevated in individuals with impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2D) after adjusting for age, gender, ethnicity, clinic site, and body mass index (3.3, 3.5, and 3.7 pg/ml in subjects with normal glucose tolerance, IGT, and T2D, respectively; P<0.05). Age-, sex-, and body mass index-adjusted levels of TNF-α differed by ethnicity, with Hispanics having the highest levels and African-Americans having the lowest (4.1, 3.6, and 3.0 pg/ml in Hispanics, non-Hispanic whites, and African-Americans, respectively; P<0.05). TNF-α was correlated with waist circumference, high-density lipoprotein, triglycerides, plasminogen activator inhibitor-1 and insulin sensitivity index (SI) (r=0.22, -0.30, 0.35, 0.31, and -0.25; P<0.0001); however, correlations varied by ethnicity. After adjusting for demographics and adiposity, individuals characterized by increased insulin resistance (lower SI), had higher levels of TNF-α than subjects characterized by high insulin sensitivity (3.8 and 3.3 pg/ml in subjects with an SI below/above the median at baseline; P<0.0001). No differences were found for acute insulin response. CONCLUSIONS: We confirm that TNF-α is associated with IGT and T2D in a large, multiethnic population, independent of measures of adiposity. Adjusted values of TNF-α, as well as relationships between TNF-α and variables related to T2D, varied by ethnicity. Increased TNF-α levels were predominantly associated with insulin resistance but not with primary defects in β-cell function.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".