Evidence map›Paper›PMID 42959627›Full record

ReviewFrontiers in endocrinology2026

Decoding inflammation to target hybrid diabetes phenotypes.

Giada Rossi, Annalisa Terranegra, Maria Elena Lunati, Ida Pastore, Lorenzo Pozzi Canova, Loredana Bucciarelli, Vincenzo Cimino, Cristian Loretelli, Moufida Ben Nasr, Paolo Fiorina and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Giada RossiInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.
Annalisa TerranegraTranslational Medicine Department, Sidra Medicine, Doha, Qatar.
Maria Elena LunatiDivision of Endocrinology, Azienda Socio-Sanitaria Territoriale (ASST) Fatebenefratelli-Sacco, Milan, Italy.
Ida PastoreInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.
Lorenzo Pozzi CanovaInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.
Loredana BucciarelliDepartment of Biomedical and Clinical Sciences, Università di Milano and Pio Albergo Trivulzio Hospital, Milan, Italy.
Vincenzo CiminoDivision of Endocrinology, Azienda Socio-Sanitaria Territoriale (ASST) Fatebenefratelli-Sacco, Milan, Italy.
Cristian LoretelliInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.
Moufida Ben NasrInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.
Paolo FiorinaInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.
Francesca D'AddioInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the escalating global epidemic of overweight and obesity worldwide, metabolic abnormalities (i.e., central obesity, insulin resistance, dyslipidemia and hypertension) are raising in patients with type 1 diabetes (T1D). On the other hand, data are emerging on the detection of autoimmune markers in obese individuals previously diagnosed with type 2 diabetes (T2D). These overlapping immune-metabolic features, characterizing hybrid phenotypes of diabetes such as double diabetes (DD) and latent autoimmune diabetes in adults (LADA), add a new layer of complexity in the diabetes spectrum and increase the risk of diabetes-related complications and mortality. Low-grade chronic inflammation is thought to play a pivotal role in the pathogenesis of DD and LADA and may represent a major driver in β-cell dysfunction and metabolic dysregulation. However, the literature on the topic is still limited, as well as the availability of specific therapeutic clinical approaches. This review aims to summarize current evidence on inflammatory and immune-metabolic biomarkers for early detection and identification of DD and LADA as compared to other types of diabetes. Novel diagnostic strategies, including genomics, miRNomics, metabolomics and microbiomics analysis, together with therapeutic options targeting metabolic and inflammatory pathways will be also explored. Challenges, including disease heterogeneity will be discussed alongside future directions, emphasizing the need for personalized medicine and longitudinal studies to shed more light on this overlooked hybrid phenotypes of diabetes.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2InflammationLatent Autoimmune Diabetes in AdultsAnimalsBiomarkersHumansObesityPhenotypeBiomarkersdouble diabetesinflammationobesityomicstype 1 diabetes

Identifiers

PMID42959627
PMCPMC13717713

What OpenQuestion holds

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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.