Evidence map›Paper›PMID 39340620›Full record

ArticleBulletin of experimental biology and medicine2024

Changes in Innate Immunity and Microbiome in Different Aging Phenotypes.

L V Gankovskaya, O A Svitich, A V Poddubikov, V V Burmakina, E M Khasanova, S V Gorodishchenskaya

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Article in Bulletin of experimental biology and medicine, 2024. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
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

6 authors.

L V GankovskayaPirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia.
O A SvitichI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
A V PoddubikovI. Mechnikov Research Institute of Vaccines and Sera, Moscow, Russia.
V V BurmakinaPirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia. burmakina_vv@rsmu.ru.
E M KhasanovaPirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia.
S V GorodishchenskayaPirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The indicators of innate immunity and the composition of the microbiome in the nasopharyngeal mucosa in centenarians with different aging phenotypes were analyzed. A significant increase in the expression of pattern-recognizing receptor genes (TLR2, TLR4, and NLRP3) and proinflammatory cytokines (IL1B, IL18) was shown in the group of centenarians with pathological aging phenotype. In centenarians with successful aging phenotype, increased diversity of the microbiome composition was observed. At the same time, a moderate inverse correlation was found between an increase in the growth of the commensal bacterium Streptococcus salivarius and a decrease in the expression of proinflammatory cytokine genes IL1B and IL18. These findings can serve as biomarkers for the timely identification of the phenotype of aging in senile and elderly people.

Indexed as

AgingImmunity, InnateMicrobiotaToll-Like Receptor 2Toll-Like Receptor 4AgedAged, 80 and overFemaleHumansInterleukin-18Interleukin-1betaMaleNasopharynxNLR Family, Pyrin Domain-Containing 3 ProteinPhenotypeIL18 protein, humanIL1B protein, humanInterleukin-18Interleukin-1betaNLR Family, Pyrin Domain-Containing 3 ProteinTLR2 protein, humanTLR4 protein, humanToll-Like Receptor 2Toll-Like Receptor 4cytokinesinflammagingmicrobiomeNOD-like receptorsToll-like receptors

Identifiers

PMID39340620

What OpenQuestion holds

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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.