Article in International journal of molecular sciences, 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.
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
20 authors.
Robertina GiacconiAdvanced Technology Center for Aging Research, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60127 Ancona, Italy.ORCID 0000-0002-1468-2140
Patrizia D'AquilaDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.ORCID 0000-0001-5740-4733
Fabiola OlivieriAdvanced Technology Center for Aging Research, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60127 Ancona, Italy.
Davide GentiliniDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.
Luciano CalzariBioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, 20095 Cusano Milanino, Italy.ORCID 0000-0003-4283-0988
Carlo FortunatoAdvanced Technology Center for Aging Research, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60127 Ancona, Italy.ORCID 0009-0006-9591-7920
Gretta Veronica Badillo PazmayAdvanced Technology Center for Aging Research, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60127 Ancona, Italy.ORCID 0000-0002-8108-663X
Mirko Di RosaUnit of Geriatric Pharmacoepidemiology and Biostatistics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60124 Ancona, Italy.ORCID 0000-0002-1862-4159
Giada SenaDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.
Elisabetta De RoseDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.
Antonio CherubiniDepartment of Clinical and Molecular Sciences, Disclimo, Università Politecnica delle Marche, 60127 Ancona, Italy.
Riccardo SarzaniDepartment of Clinical and Molecular Sciences, Disclimo, Università Politecnica delle Marche, 60127 Ancona, Italy.
Roberto AntonicelliCardiology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60124 Ancona, Italy.
Giuseppe PelliccioniNeurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60124 Ancona, Italy.ORCID 0000-0002-0377-9713
Anna Rita BonfigliScientific Direction, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60124 Ancona, Italy.ORCID 0000-0002-9619-0181
Roberta GaleazziClinic of Laboratory and Precision Medicine, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60124 Ancona, Italy.ORCID 0000-0002-7997-8794
Fabrizia LattanzioScientific Direction, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60124 Ancona, Italy.
Giuseppe PassarinoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.ORCID 0000-0003-4701-9748
Dina BellizziDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.ORCID 0000-0001-9986-456X
Francesco PiacenzaAdvanced Technology Center for Aging Research, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) and Istituto Nazionale di Ricerca e Cura Anziani (INRCA), 60127 Ancona, Italy.ORCID 0000-0001-7440-804X
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Blood bacterial DNA (BB-DNA) has been identified as a novel biomarker for metabolic dysfunction, yet its relationship with epigenetic features in type 2 diabetes mellitus (DM2) patients remains largely unexplored. This study investigated the relationship between BB-DNA and epigenetic, inflammatory, and aging-related markers in 285 elderly both with and without DM2. BB-DNA levels were higher in DM2 patients than in non-diabetic subjects, with the highest levels in those with severe renal impairment. BB-DNA showed a positive association with plasma IL-1β, linking bacterial DNA to systemic inflammation. Epigenetic analysis revealed a negative correlation between BB-DNA and DNA methylation-based leukocyte telomere length, suggesting accelerated aging in DM2. Additionally, BB-DNA was positively associated with DNAm-based biological age estimators, particularly DNAmPhenoAge and DNAmAge Skin Blood Clock. BB-DNA also correlated with DNAmVEGFA and DNAmCystatin C, key markers of diabetic nephropathy and vascular dysfunction. Furthermore, BB-DNA levels were associated with hypomethylation of genes involved in inflammation (e.g.,
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.
Circulating Bacterial DNA as a Novel Blood-Based Biomarker in Type 2 Diabetes Mellitus (DM2): Results from the PROMOTERA Study. · full record | OpenQuestion