Evidence map›Paper›PMID 37047437›Full record

ArticleInternational journal of molecular sciences2023

Effects of Human LAV-BPIFB4 Gene Therapy on the Epigenetic Clock and Health of Aged Mice.

Maria Elisa Giuliani, Veronica Barbi, Giorgia Bigossi, Serena Marcozzi, Robertina Giacconi, Maurizio Cardelli, Francesco Piacenza, Fiorenza Orlando, Elena Ciaglia, Monica Cattaneo and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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, 6 citations in OpenAlex.

  1. Review
  2. Review
  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

15 authors at 4 institutions in 1 country.

Maria Elisa GiulianiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.ORCID 0000-0002-7487-5171
Veronica BarbiLaboratory of Epigenetics, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 10, 27100 Pavia, Italy.ORCID 0000-0001-9618-1368
Giorgia BigossiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.ORCID 0000-0002-3445-4401
Serena MarcozziAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.ORCID 0000-0001-5873-5753
Robertina GiacconiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.ORCID 0000-0002-1468-2140
Maurizio CardelliAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.
Francesco PiacenzaAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.ORCID 0000-0001-7440-804X
Fiorenza OrlandoExperimental Animal Models for Aging Unit, Scientific Technological Area, IRCCS INRCA, 60015 Falconara Marittima, Italy.
Elena CiagliaDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via Salvatore Allende, 84081 Baronissi, Italy.ORCID 0000-0002-8035-4583
Monica CattaneoCardiovascular Research Unit, IRCCS MultiMedica, 20138 Milan, Italy.
Alessia MongelliLaboratory of Epigenetics, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 10, 27100 Pavia, Italy.ORCID 0000-0002-1262-3446
Carlo GaetanoLaboratory of Epigenetics, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 10, 27100 Pavia, Italy.
Mauro ProvincialiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.ORCID 0000-0002-0568-3002
Annibale Alessandro PucaDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via Salvatore Allende, 84081 Baronissi, Italy.ORCID 0000-0002-0347-1460
Marco MalavoltaAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.ORCID 0000-0002-8442-1763
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituti Clinici Scientifici Maugeri · ITUniversity of Salerno · ITMultiMedica · IT

Funding

Fondazione Cariplo 2016-0874Italian Ministry of Health Ricerca Corrente
6 · The paper itself

Abstract

The homozygous genotype of the Longevity-Associated Variant (LAV) in Bactericidal/Permeability-Increasing Fold-Containing Family B member 4 (BPIFB4) is enriched in long-living individuals of three independent populations and its genetic transfer in C57BL/6J mice showed a delay in frailty progression and improvement of several biomarkers of aging and multiple aspects of health. The C57BL/6J strain is a suitable model for studying therapies aimed at extending healthy aging and longevity due to its relatively short lifespan and the availability of aging biomarkers. Epigenetic clocks based on DNA methylation profiles are reliable molecular biomarkers of aging, while frailty measurement tools are used to evaluate overall health during aging. In this study, we show that the systemic gene transfer of LAV-BPIFB4 in aged C57BL/6J mice was associated with a significant reduction in the epigenetic clock-based biological age, as measured by a three CpG clock method. Furthermore, LAV-BPIFB4 gene transfer resulted in an improvement of the Vitality Score with a reduction in the Frailty Index. These findings further support the use of LAV-BPIFB4 gene therapy to induce beneficial effects on epigenetic mechanisms associated with aging and frailty in aged mice, with potential implications for future therapies to prevent frailty in humans.

Indexed as

FrailtyLongevityAgedAnimalsBiomarkersDNA MethylationEpigenesis, GeneticGenetic TherapyHumansIntercellular Signaling Peptides and ProteinsMiceMice, Inbred C57BLBiomarkersBPIFB4 protein, humanIntercellular Signaling Peptides and Proteinsagingepigenetic clockfrailty

Identifiers

PMID37047437
PMCPMC10095240
OpenAlexW4361275751

What OpenQuestion 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 OpenQuestion graph.