Evidence map›Paper›PMID 40632717›Full record

ArticlePloS one2025

Rationale and study protocol of the MAMELI Cohort study (Mapping the Methylation of repetitive elements to track the Exposome effects on health: the city of Legnano as a Living lab).

Valentina Bollati, Federica Rota, Laura Dioni, Chiara Favero, Simona Iodice, Marta Gallazzi, Andrea Spinazzè, Giacomo Fanti, Davide Campagnolo, Tiago Nardi and 26 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

36 authors.

Valentina BollatiEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-0370-9598
Federica RotaEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Laura DioniEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Chiara FaveroEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Simona IodiceEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Marta GallazziEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Andrea SpinazzèDepartment of Science and High Technology, Università degli Studi dell'Insubria, Como, Italy.ORCID https://orcid.org/0000-0003-0371-3164
Giacomo FantiEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Davide CampagnoloDepartment of Science and High Technology, Università degli Studi dell'Insubria, Como, Italy.
Tiago NardiEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-1248-9873
Davide BiganzoliEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-6509-6870
Eva DariolEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0009-0002-5675-3389
Rachele MatsaganiEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-9625-1191
Mirjam HoxhaEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Paola MontiEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Benedetta AlbettiEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Letizia TarantiniEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Davide BarbutoEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Ester LuconiEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0001-9912-9370
Giuseppe MaranoUnit of Medical Statistics, Department of Biomedical and Clinical Sciences (DIBIC), LITA Vialba campus, Università degli Studi di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-0239-7297
Giacomo BiganzoliUnit of Medical Statistics, Department of Biomedical and Clinical Sciences (DIBIC), LITA Vialba campus, Università degli Studi di Milano, Milan, Italy.
Roberta BiciuffiUnit of Medical Statistics, Department of Biomedical and Clinical Sciences (DIBIC), LITA Vialba campus, Università degli Studi di Milano, Milan, Italy.
Patrizia BoracchiUnit of Medical Statistics, Department of Biomedical and Clinical Sciences (DIBIC), LITA Vialba campus, Università degli Studi di Milano, Milan, Italy.
Domenico M CavalloDepartment of Science and High Technology, Università degli Studi dell'Insubria, Como, Italy.
Pilar M Guerrieri"Dipartimento di Architettura e Studi Urbani", Politecnico di Milano, Milan, Italy.
Fabio MoscaUniversità degli Studi di Milano, Milan, Italy.
Stefano GustincichNon-coding RNAs and RNA-based Therapeutics, Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Giovanni SanesiDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy.
Luca FerrariEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Michele CarugnoEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Silvia FustinoniEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Angela Cecilia PesatoriEPIGET Lab -Department of Clinical Sciences and Community Health, "Dipartimento di Eccellenza 2023-2027", Università degli Studi di Milano, Milan, Italy.
Luca PandolfiniNon-coding RNAs and RNA-based Therapeutics, Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Michele MiragoliDipartimento di Medicina e Chirurgia, TecMed Lab, Università di Parma, Parma, Italy.
Andrea CattaneoDepartment of Science and High Technology, Università degli Studi dell'Insubria, Como, Italy.
Elia BiganzoliINES (Institute of Epigenetics for Smiles), Università degli Studi di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of the exposome encompasses all the factors influencing human health throughout the life course. The exposome induces epigenetic changes, such as DNA methylation, which influence gene expression and impact overall health. Several recent studies have explored how repetitive elements (REs) in the genome can be activated in response to environmental stimuli. However, most of these investigations have assumed that altered RE methylation is always detrimental to individual health. The MAMELI project proposes an alternative hypothesis: that some REs are plastic entities capable of responding physiologically to environmental stimuli without compromising genome stability. This hypothesis suggests that the ability of DNA to adapt to environmental triggers could be monitored and used as an indicator of health resilience. To test this hypothesis, the MAMELI project will enroll 6,200 participants from the city of Legnano (Italy) and will be conducted in three main phases: i) A total of 200 healthy participants will undergo DNA methylation analysis through third-generation sequencing at two time points: T0 (baseline) and T1 (6 months after T0). This phase aims to identify a set of REs ("differential REs") whose methylation changes in response to the exposome without affecting genome stability; ii) This phase will include 2,700 subjects (the original 200 participants from the discovery phase plus 2,500 additional subjects). The goal will be to develop a predictive algorithm (the MAMELI algorithm) that links the exposome to RE methylation status, creating a "RE methylation signature" reflecting the environmental impact on DNA methylation; iii) In this phase, the MAMELI algorithm will be applied to a separate cohort of 3,500 participants to compare the measured RE methylation signature with values predicted by the algorithm. Additionally, an intervention study will be embedded within the cohort to assess the reversibility of RE methylation following lifestyle changes. The MAMELI project offers a novel perspective in the field of epigenetics and environmental health, demonstrating how the epigenome can act as a sensor for environmental changes and how this interaction can be harnessed for disease prevention. If validated, the MAMELI algorithm could become a powerful tool for identifying individuals at risk and developing personalized interventions to improve global health outcomes.

Indexed as

DNA MethylationEnvironmental ExposureExposomeRepetitive Sequences, Nucleic AcidAdultCohort StudiesEpigenesis, GeneticFemaleHumansItalyMaleMiddle Aged

Identifiers

PMID40632717
PMCPMC12240375

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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.