Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
10 authors.
Gabriella H KalantarDepartment of Microbiology, Immunology, and Molecular Genetics, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0003-1573-3787
Shubh SaraswatDepartment of Biostatistics, University of Kentucky, Lexington, KY 40536, USA.ORCID 0009-0009-2359-1484
Sara SantaCruz-CalvoDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40536, USA.
Fatemeh GholamrezaeinejadDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40536, USA.
Aida JavidanDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40536, USA.
Madhur AgrawalDepartment of Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40536, USA.
Rui LiuDepartment of Pharmaceutical Sciences, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0003-0619-4902
Philip A KernDepartment of Internal Medicine, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0002-4761-7417
Xiaohua Douglas ZhangDepartment of Biostatistics, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0002-2486-7931
Barbara S NikolajczykDepartment of Microbiology, Immunology, and Molecular Genetics, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0001-5647-5740
Funding
University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
Sustained eIF5A hypusination at the core of brain metabolic dysfunction in TDP-43 proteinopathiesP20GM148326 · NIGMS · UNIVERSITY OF KENTUCKY · PI Patrick G Sullivan · 2023 to 2026
$10.6M
NRSA Training CoreTL1TR001997 · NCATS · UNIVERSITY OF KENTUCKY · PI PENDERGAST, JULIE S, STOOPS, WILLIAM WALTON · 2016 to 2025
$4.2M
Inflammation in human obesity and type 2 diabetesR01DK108056 · NIDDK · UNIVERSITY OF KENTUCKY · PI LAUFFENBURGER, DOUGLAS A, NIKOLAJCZYK, BARBARA · 2016 to 2019
$2.6M
TRAINING PROGRAM IN OXIDATIVE STRESS AND NUTRITIONT32DK007778 · NIDDK · UNIVERSITY OF KENTUCKY · PI WEBB, NANCY R · 2000 to 2019
$2.5M
Restoration of Impaired Awareness of Hypoglycemia U01 Consortium: University of KentuckyU01DK135111 · NIDDK · UNIVERSITY OF KENTUCKY · PI SIMON J FISHER · 2022 to 2026
$2.3M
The impact of insulin sensitivity on the potential of metformin to delay age-related inflammationR01AG079525 · NIA · UNIVERSITY OF KENTUCKY · PI NIKOLAJCZYK, BARBARA · 2022 to 2025
$2.3M
The Biological Mechanisms of Metformin Effects on Aging-Associated InflammationR56AG069685 · NIA · UNIVERSITY OF KENTUCKY · PI NIKOLAJCZYK, BARBARA · 2020 to 2020
Cytokines produced by peripheral T-helper 1/17 cells disproportionately contribute to the inflammation (i.e., metaflammation) that fuels type 2 diabetes (T2D) pathogenesis. Shifts in the nutrient milieu could influence inflammation through changes in T-cell metabolism. We aimed to determine whether changes in glucose utilization alter cytokine profiles in T2D. Peripheral blood mononuclear cells (PBMCs), CD4
Indexed as
CD4-Positive T-LymphocytesCytokinesDiabetes Mellitus, Type 2FastingInflammationLeukocytes, MononuclearAdultAgedBlood GlucoseFemaleGlucoseHumansMaleMiddle AgedBlood GlucoseCytokinesGlucosecytokinesextracellular fluxglycemic controlHba1Cobesitypartial least squares discriminant analysissystemic inflammation
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Fasting and Glucose Metabolism Differentially Impact Peripheral Inflammation in Human Type 2 Diabetes. · full record | OpenQuestion