Evidence map›Paper›PMID 42568017›Full record

ArticleMolecular biomedicine2026

Distinct immunometabolic signatures in peripheral blood mononuclear cells are linked to systemic inflammation in type 2 diabetes and diabetic kidney disease.

Clara Luna-Marco, José F Català-Senent, Julia Cacace, Alberto Hermo-Argibay, Omar A Hernández-López, María Pelechá-Salvador, Jonay Pantoja, Asunción Sancho, Jose M Vila, Carlos Morillas and 4 more

Abstract read
In one paragraph

Article in Molecular biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Clara Luna-Marco *Department of Physiology, Faculty of Medicine, University of Valencia, INCLIVA (Biomedical Research Institute Valencia), Valencia, Spain.ORCID http://orcid.org/0000-0003-1704-7051
José F Català-Senent *Microbiology and Ecology Department, University of Valencia, Valencia, Spain.ORCID http://orcid.org/0000-0002-5892-7437
Julia CacaceService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain.ORCID http://orcid.org/0009-0000-6948-200X
Alberto Hermo-ArgibayService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain.ORCID http://orcid.org/0000-0001-5760-0363
Omar A Hernández-LópezService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain.ORCID http://orcid.org/0009-0000-0289-2485
María Pelechá-SalvadorService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain.ORCID http://orcid.org/0000-0002-2141-6422
Jonay PantojaService of Nephrology, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain.ORCID http://orcid.org/0000-0003-3458-5425
Asunción SanchoService of Nephrology, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain.ORCID http://orcid.org/0000-0002-4170-9003
Jose M VilaDepartment of Physiology, Faculty of Medicine, University of Valencia, INCLIVA (Biomedical Research Institute Valencia), Valencia, Spain.ORCID http://orcid.org/0000-0001-8589-9307
Carlos MorillasService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain.ORCID http://orcid.org/0000-0002-3745-4423
Celia BañulsService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain.ORCID http://orcid.org/0000-0001-8077-7642
Milagros RochaService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain.ORCID http://orcid.org/0000-0003-2923-6546
Víctor M VíctorDepartment of Physiology, Faculty of Medicine, University of Valencia, INCLIVA (Biomedical Research Institute Valencia), Valencia, Spain. victor.victor@uv.es.ORCID http://orcid.org/0000-0002-3027-3945
Susana Rovira-LlopisService of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), MITOMETS, Valencia, Spain. susana.rovira@uv.es.ORCID http://orcid.org/0000-0002-8476-5128

Funding

Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana CIGE/2024/59Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana CIGRIS/2022/172Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana CIPROM/2022/32Instituto de Salud Carlos III CP24/00098Instituto de Salud Carlos III FI23/00070Instituto de Salud Carlos III PI22/00424Instituto de Salud Carlos III PI24/01010Instituto de Salud Carlos III PI25/00219Instituto de Salud Carlos III PI25/00739Instituto de Salud Carlos III PI25/01841
6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is a frequent complication of type 2 diabetes and is closely linked to systemic inflammation. Peripheral blood mononuclear cells (PBMCs) are markers of systemic inflammatory and metabolic stress. It is unknown if metabolism-related transcriptomic alterations in these cells is associated with DKD. Using the nCounter® Human Metabolic Pathways Panel we profiled PBMC metabolic transcripts in individuals with type 2 diabetes or DKD and in controls (n = 12/group), and integrated transcriptomic data with clinical, inflammatory, and mitochondrial parameters. Patients with DKD showed increased inflammatory biomarkers and reduced PBMC mitochondrial membrane potential and mass, consistent with mitochondrial dysfunction. Metabolism-related transcriptomic profiling identified 13 differentially expressed genes across groups. DKD subjects displayed downregulation of SLC7A11 versus controls and HLA-DQA1 versus type 2 diabetes, and upregulation of CPT1A and GBA1 versus controls. CPT1A upregulation was confirmed by RT-qPCR and supported by external GEO datasets, though ROC analyses indicated a limited discriminatory performance. Pathway analyses revealed enrichment of immune-related, fatty acid oxidation, and fructose-6-phosphate pathways and reduced cell proliferation pathways in DKD patients. Inflammatory markers correlated positively with energy-regulating pathways and negatively with anabolic processes. In conclusion, these findings suggest that PBMCs reflect immunometabolic remodeling in response to DKD, thus highlighting an association between systemic inflammation, mitochondrial dysfunction, and altered energy metabolism in circulating immune cells.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesInflammationLeukocytes, MononuclearBiomarkersCarnitine O-PalmitoyltransferaseFemaleGene Expression ProfilingHumansMaleMiddle AgedMitochondriaTranscriptomeBiomarkersCarnitine O-PalmitoyltransferaseDiabetic kidney diseaseImmunometabolismInflammationPeripheral blood mononuclear cells (PBMCs)Transcriptomic profilingType 2 diabetes

Identifiers

PMID42568017
PMCPMC13451171

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.