Evidence map›Paper›PMID 33260845›Full record

ArticleInternational journal of molecular sciences2020

Can Serum Nitrosoproteome Predict Longevity of Aged Women?

Daniele Capitanio, Pietro Barbacini, Beatrice Arosio, Franca Rosa Guerini, Enrica Torretta, Fabio Trecate, Matteo Cesari, Daniela Mari, Mario Clerici, Cecilia Gelfi

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In one paragraph

Article in International journal of molecular sciences, 2020. 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
–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. Review
  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

10 authors.

Daniele CapitanioDepartment of Biomedical Sciences for Health, University of Milan, 20090 Segrate, Italy.ORCID 0000-0001-7701-728X
Pietro BarbaciniDepartment of Biomedical Sciences for Health, University of Milan, 20090 Segrate, Italy.ORCID 0000-0002-6230-8663
Beatrice ArosioGeriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy.ORCID 0000-0002-0615-3580
Franca Rosa GueriniIRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.ORCID 0000-0001-9461-5927
Enrica TorrettaIRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy.ORCID 0000-0002-6374-3325
Fabio TrecateIRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Matteo CesariDepartment of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy.
Daniela MariLaboratorio Sperimentale di Ricerche di Neuroendocrinologia Geriatrica ed Oncologica, IRCCS Istituto Auxologico Italiano, 20145 Milan, Italy.
Mario ClericiIRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Cecilia GelfiDepartment of Biomedical Sciences for Health, University of Milan, 20090 Segrate, Italy.

Funding

Agenzia Spaziale Italiana 2018-9-U.O STOPBROSFondazione Cariplo 2017-0622
6 · The paper itself

Abstract

Aging is characterized by increase in reactive oxygen (ROS) and nitrogen (RNS) species, key factors of cardiac failure and disuse-induced muscle atrophy. This study focused on serum nitroproteome as a trait of longevity by adopting two complementary gel-based techniques: two-dimensional differential in gel electrophoresis (2-D DIGE) and Nitro-DIGE coupled with mass spectrometry of albumin-depleted serum of aged (A,

Indexed as

AdultAgedAged, 80 and overElectrophoresis, Gel, Two-DimensionalFemaleHumansLongevityMiddle AgedMusclesNitrosationNitrosative StressProteomeProteomicsSerumTyrosineProteomeTyrosineagingcardiovascular diseasemuscle atrophynitrosative stressproteomics

Identifiers

PMID33260845
PMCPMC7731247

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.