Evidence map›Paper›PMID 41900917›Full record

ReviewLife (Basel, Switzerland)2026

The Genetic Landscape of Diabetes Mellitus: Lessons from Monogenic and Polygenic Forms.

Davide Nilo, Roberto Nilo, Marta Chiara Sircana, Ferdinando Carlo Sasso, Carlo Acierno, Leonilde Bonfrate, Alfredo Caturano

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2026. 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. Article
  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

7 authors.

Davide NiloDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli'', 80138 Naples, Italy.ORCID 0009-0000-9617-4491
Roberto NiloMeditrial Europe, 00198 Roma, Italy.ORCID 0000-0001-9896-3443
Marta Chiara SircanaDepartment of Medical, Surgical and Pharmacology, University of Sassari, 07100 Sassari, Italy.
Ferdinando Carlo SassoDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli'', 80138 Naples, Italy.ORCID 0000-0002-9142-7848
Carlo AciernoAzienda Ospedaliera Regionale San Carlo, 85100 Potenza, Italy.ORCID 0000-0002-1239-7012
Leonilde BonfrateDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma University, 00166 Rome, Italy.
Alfredo CaturanoDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma University, 00166 Rome, Italy.ORCID 0000-0001-7761-7533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is increasingly recognized as a biologically heterogeneous disorder that extends beyond traditional phenotype-based classifications. Advances in human genetics have revealed that monogenic and polygenic forms of diabetes are not discrete entities, but rather represent points along a continuum of genetic architectures that converge on shared molecular pathways governing pancreatic β-cell identity, function, and survival. Rare monogenic forms, including maturity-onset diabetes of the young and neonatal diabetes, arise from highly penetrant single-gene defects that directly impair transcriptional regulation, glucose sensing, insulin biosynthesis, or stimulus-secretion coupling. Although individually uncommon, these disorders provide high-resolution models of β-cell dysfunction and have demonstrated the clinical value of genotype-guided diagnosis and therapy. At the opposite end of the spectrum, type 1 and type 2 diabetes result from complex interactions between multiple genetic variants and environmental factors, with genome-wide association studies highlighting a central role for genetically determined β-cell vulnerability alongside immune-mediated and metabolic stress pathways. Importantly, intermediate phenotypes such as latent autoimmune diabetes in adults further illustrate the overlap between autoimmune and metabolic mechanisms, challenging rigid diagnostic boundaries. This review synthesizes current evidence on the genetic architecture of diabetes across monogenic and polygenic forms, emphasizing convergent molecular mechanisms and their translational implications. By integrating insights from rare genetic disorders with findings from large-scale population studies, we propose a continuum-based framework that supports a shift from phenotype-driven labels toward a mechanistic, biology-informed approach to diabetes classification, risk stratification, and personalized care.

Indexed as

diabetes heterogeneitygenetic continuummonogenic diabetespolygenic riskprecision diabetologyβ-cell dysfunction

Identifiers

PMID41900917
PMCPMC13028470

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.