Evidence map›Paper›PMID 40723860›Full record

ArticleBiomolecules2025

High Glucose in Diabetic Hyperglycemia Perturbs Lymphocyte SERCA-Regulated Ca

Md Nasim Uddin, James L Graham, Peter J Havel, Roshanak Rahimian, David W Thomas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecules, 2025. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

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

5 authors.

Md Nasim UddinDepartment of Pharmaceutical Sciences, Thomas J. Long School of Pharmacy, University of the Pacific, Stockton, CA 95211, USA.ORCID 0009-0008-8772-4787
James L GrahamDepartment of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA 95616, USA.ORCID 0000-0001-6507-8149
Peter J HavelDepartment of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA 95616, USA.
Roshanak RahimianDepartment of Pharmaceutical Sciences, Thomas J. Long School of Pharmacy, University of the Pacific, Stockton, CA 95211, USA.ORCID 0000-0001-9803-0619
David W ThomasDepartment of Pharmaceutical Sciences, Thomas J. Long School of Pharmacy, University of the Pacific, Stockton, CA 95211, USA.

Funding

Seed Grant from the Jie Du Center for Innovation & Excellence for Drug Discovery, University of the Pacific to DWT and R.R. Dr. Havel's laboratory at UC Davis received funding during the project period from NIH grants PJH: NIH grants U24DK092993, R01HL137716, and R01AG-085572.
6 · The paper itself

Abstract

It is well recognized that patients with type 2 diabetes mellitus (T2DM) exhibit significant impairment of immune function resulting in a higher frequency of infections. We hypothesize in this study that a likely contributor to immune dysfunction in T2DM is alteration of T lymphocyte signaling functions induced by chronic hyperglycemia. In this study we have utilized the established UC Davis Type 2 Diabetes Mellitus (UCD-T2DM) rat model of human T2DM to investigate whether progressive hyperglycemia diminishes T cell receptor (TCR)-releasable endoplasmic reticulum (ER) Ca

Indexed as

CalciumDiabetes Mellitus, Type 2Endoplasmic Reticulum StressGlucoseHyperglycemiaSarcoplasmic Reticulum Calcium-Transporting ATPasesAnimalsCalcium SignalingHumansJurkat CellsMaleRatsReceptors, Antigen, T-CellSignal TransductionT-LymphocytesCalciumGlucoseReceptors, Antigen, T-CellSarcoplasmic Reticulum Calcium-Transporting ATPasesCa2+ signalingCa2+ storesendoplasmic reticulum (ER) stressER Ca2+ releasehyperglycemiaT cell dysfunctionT cell signalingtype 2 diabetes (T2D)

Identifiers

PMID40723860
PMCPMC12292806

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Registered trials

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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.