Evidence map›Paper›PMID 25846707›Full record

ArticleeLife2015

Siglec receptors impact mammalian lifespan by modulating oxidative stress.

Flavio Schwarz, Oliver M T Pearce, Xiaoxia Wang, Annie N Samraj, Heinz Läubli, Javier O Garcia, Hongqiao Lin, Xiaoming Fu, Andrea Garcia-Bingman, Patrick Secrest and 7 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
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  7. Review
  8. Article
  9. Myeloid checkpoints for cancer immunotherapy.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022
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  12. Increased Transferrin Sialylation Predicts Phenoconversion in Isolated REM Sleep Behavior Disorder.Movement disorders : official journal of the Movement Disorder Society · 2022
    Article
  13. iScience · 2022
    Article
  14. Article
  15. The genomics of ecological flexibility, large brains, and long lives in capuchin monkeys revealed with fecalFACS.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Modulation of immune cell reactivity withProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Article
  18. Article
  19. Control of Innate Immunity by Sialic Acids in the Nervous Tissue.International journal of molecular sciences · 2020
    Review
  20. Maximum reproductive lifespan correlates with CD33rSIGLEC gene number: Implications for NADPH oxidase-derived reactive oxygen species in aging.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Flavio SchwarzGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Oliver M T PearceGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.ORCID http://orcid.org/0000-0003-3953-1629
Xiaoxia WangGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Annie N SamrajGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Heinz LäubliGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Javier O GarciaDepartment of Psychology, University of California, San Diego, San Diego, United States.
Hongqiao LinDepartment of Cellular and Molecular Medicine, Cleveland Clinic Lerner Research Institute, Cleveland, United States.
Xiaoming FuDepartment of Cellular and Molecular Medicine, Cleveland Clinic Lerner Research Institute, Cleveland, United States.
Andrea Garcia-BingmanGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Patrick SecrestGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Casey E RomanoskiDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, United States.
Charles HeyserDepartment of Neurosciences, University of California, San Diego, San Diego, United States.
Christopher K GlassDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, United States.
Stanley L HazenDepartment of Cellular and Molecular Medicine, Cleveland Clinic Lerner Research Institute, Cleveland, United States.
Nissi VarkiGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Ajit VarkiGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
Pascal GagneuxGlycobiology Research and Training Center, University of California, San Diego, San Diego, United States.
University of California San Diego · USCleveland Clinic Lerner College of Medicine · US

Funding

Structural Determinants Of Ceruloplasmin Inflammatory ActivityP01HL076491 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI PLOW, EDWARD FRANKLIN · 2004 to 2019
$27.3M
Siglec Modulation of Inflammatory ResponsesP01HL107150 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LE, DZUNG T · 2011 to 2017
$18.0M
Transcriptional Genomics CoreP01DK074868 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROSENFELD, M · 2007 to 2016
$16.6M
Physician-Scientist Research Training ProgramT32DK069263 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BOSS, GERRY R · 2005 to 2015
$2.5M
Glycan Diversity and Anti-Glycan Antibodies as Barriers to Gene FlowR01GM095882 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAGNEUX, PASCAL · 2011 to 2015
$1.4M
Systems Genetic Analysis of Atherogenic Transcriptional Regulation in Human CellsK99HL123485 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROMANOSKI, CASEY E · 2014 to 2015
$289k
NHLBI NIH HHS K99 HL123485NHLBI NIH HHS K99HL123485NHLBI NIH HHS P01 HL076491NHLBI NIH HHS P01 HL107150NIDDK NIH HHS P01 DK074868NIDDK NIH HHS T32 DK069263NIGMS NIH HHS R01 GM095882PHS HHS R011065732
6 · The paper itself

Abstract

Aging is a multifactorial process that includes the lifelong accumulation of molecular damage, leading to age-related frailty, disability and disease, and eventually death. In this study, we report evidence of a significant correlation between the number of genes encoding the immunomodulatory CD33-related sialic acid-binding immunoglobulin-like receptors (CD33rSiglecs) and maximum lifespan in mammals. In keeping with this, we show that mice lacking Siglec-E, the main member of the CD33rSiglec family, exhibit reduced survival. Removal of Siglec-E causes the development of exaggerated signs of aging at the molecular, structural, and cognitive level. We found that accelerated aging was related both to an unbalanced ROS metabolism, and to a secondary impairment in detoxification of reactive molecules, ultimately leading to increased damage to cellular DNA, proteins, and lipids. Taken together, our data suggest that CD33rSiglecs co-evolved in mammals to achieve a better management of oxidative stress during inflammation, which in turn reduces molecular damage and extends lifespan.

Indexed as

LongevityOxidative StressAnimalsBody WeightHomeostasisImmunomodulationMaleMammalsMice, Inbred C57BLMultigene FamilyPhenotypePhylogenyReactive Oxygen SpeciesReceptors, Cell SurfaceSialic Acid Binding Immunoglobulin-like LectinsReactive Oxygen SpeciesReceptors, Cell SurfaceSialic Acid Binding Immunoglobulin-like Lectinssialic acid receptoragingevolutionary biologygenomicsimmunologyinflammationmousereactive oxygen speciesSiglec

Identifiers

PMID25846707
PMCPMC4384638
OpenAlexW2143628004

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.