Evidence map›Paper›PMID 36901810›Full record

ArticleInternational journal of molecular sciences2023

Untargeted Lipidomics of Erythrocytes under Simulated Microgravity Conditions.

Cristina Manis, Antonio Murgia, Alessia Manca, Antonella Pantaleo, Giacomo Cao, Pierluigi Caboni

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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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Lipidomics of Caco-2 Cells Under Simulated Microgravity Conditions.International journal of molecular sciences · 2024
    Article
  5. 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.

Cristina ManisDepartment of Life and Environmental Sciences, Cittadella Universitaria di Monserrato, Blocco A, Room 13, 09042 Monserrato, Italy.
Antonio MurgiaDepartment of Life and Environmental Sciences, Cittadella Universitaria di Monserrato, Blocco A, Room 13, 09042 Monserrato, Italy.
Alessia MancaDepartment of Biomedical Science, University of Sassari, Viale San Pietro, 07100 Sassari, Italy.ORCID 0000-0001-7342-1023
Antonella PantaleoDepartment of Biomedical Science, University of Sassari, Viale San Pietro, 07100 Sassari, Italy.ORCID 0000-0003-2954-7053
Giacomo CaoDepartment of Mechanical, Chemical and Materials Engineering, University of Cagliari, Via Marengo 2, 09123 Cagliari, Italy.
Pierluigi CaboniDepartment of Life and Environmental Sciences, Cittadella Universitaria di Monserrato, Blocco A, Room 13, 09042 Monserrato, Italy.ORCID 0000-0003-2448-3767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipidomics and metabolomics are nowadays widely used to provide promising insights into the pathophysiology of cellular stress disorders. Our study expands, with the use of a hyphenated ion mobility mass spectrometric platform, the understanding of the cellular processes and stress due to microgravity. By lipid profiling of human erythrocytes, we annotated complex lipids such as oxidized phosphocholines, phosphocholines bearing arachidonic in their moiety, as well as sphingomyelins and hexosyl ceramides associated with microgravity conditions. Overall, our findings give an insight into the molecular alterations and identify erythrocyte lipidomics signatures associated with microgravity conditions. If the present results are confirmed in future studies, they may help to develop suitable treatments for astronauts after return to Earth.

Indexed as

LipidomicsWeightlessnessErythrocytesHumansMetabolomicsSphingomyelinsSphingomyelinserythrocyteslipidomicsmass spectrometrymicrogravity condition

Identifiers

PMID36901810
PMCPMC10002504

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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.