Evidence map›Paper›PMID 31031800›Full record

ArticleFrontiers in genetics2019

Extension of Maximal Lifespan and High Bone Marrow Chimerism After Nonmyeloablative Syngeneic Transplantation of Bone Marrow From Young to Old Mice.

Marina V Kovina, Alexey V Karnaukhov, Mikhail E Krasheninnikov, Artem L Kovin, Sarul T Gazheev, Larisa A Sergievich, Elena V Karnaukhova, Elena V Bogdanenko, Maxim V Balyasin, Yury M Khodarovich and 2 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

12 authors.

Marina V KovinaInstitute for Regenerative Medicine, Sechenov University, Moscow, Russia.
Alexey V KarnaukhovInstitute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia.
Mikhail E KrasheninnikovInstitute for Regenerative Medicine, Sechenov University, Moscow, Russia.
Artem L KovinInstitute for Regenerative Medicine, Sechenov University, Moscow, Russia.
Sarul T GazheevInstitute for Regenerative Medicine, Sechenov University, Moscow, Russia.
Larisa A SergievichInstitute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia.
Elena V KarnaukhovaInstitute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia.
Elena V BogdanenkoInstitute of General Pathology and Pathophysiology, Russian Academy of Sciences, Moscow, Russia.
Maxim V BalyasinInstitute for Regenerative Medicine, Sechenov University, Moscow, Russia.
Yury M KhodarovichDepartment of Molecular Immunology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.
Tatyana G DyuzhevaDepartment of Hospital Surgery, Sechenov University, Moscow, Russia.
Alexey V LyundupInstitute for Regenerative Medicine, Sechenov University, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this work was to determine the effect of nonablative syngeneic transplantation of young bone marrow (BM) to laboratory animals (mice) of advanced age upon maximum duration of their lifespan. To do this, transplantation of 100 million nucleated cells from BM of young syngeneic donors to an old nonablated animal was performed at the time when half of the population had already died. As a result, the maximum lifespan (MLS) increased by 28 ± 5%, and the survival time from the beginning of the experiment increased 2.8 ± 0.3-fold. The chimerism of the BM 6 months after the transplantation was 28%.

Indexed as

bone marrow transplantationcryobanklife extensionlongevitymesenchymal stem cells

Identifiers

PMID31031800
PMCPMC6473025

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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.