Evidence map›Paper›PMID 35197866›Full record

ArticleFrontiers in physiology2022

Inductively-Coupled Plasma Mass Spectrometry-Novel Insights From an Old Technology Into Stressed Red Blood Cell Physiology.

Daniel Stephenson, Travis Nemkov, Syed M Qadri, William P Sheffield, Angelo D'Alessandro

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  7. HypomorphicHemaSphere · 2026
    Article
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  12. A Multiomics Assessment of Preoperative Exercise in Pancreatic Cancer Survivors Receiving Neoadjuvant Therapy: A Case Series.Pathophysiology : the official journal of the International Society for Pathophysiology · 2024
    Article
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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

5 authors at 4 institutions in 2 countries.

Daniel StephensonDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, CO, United States.
Travis NemkovDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, CO, United States.
Syed M QadriFaculty of Health Sciences, Ontario Tech University, Oshawa, ON, Canada.
William P SheffieldCentre for Innovation, Canadian Blood Services, Hamilton, ON, Canada.
Angelo D'AlessandroDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, CO, United States.
University of Colorado Denver · USMcMaster University · CAUniversity of Colorado Anschutz Medical Campus · USUniversity of Ontario Institute of Technology · CA

Funding

Resuscitation Strategies for Achieving Thrombo-inflammatory HomeostasisRM1GM131968 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI COHEN, MITCHELL, D'ALESSANDRO, ANGELO · 2019 to 2023
$11.3M
The Impact of Oxidative Stress on Erythocyte BiologyR01HL148151 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI D'ALESSANDRO, ANGELO, KARAFIN, MATTHEW S · 2019 to 2022
$8.9M
The role of ferroptosis in red cell aging in vivo and in vitroR01HL146442 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Angelo D'Alessandro, Adam N. Goldfarb · 2019 to 2026
$5.4M
The paradoxical response to iron in pulmonary hypertension of sickle cell diseaseR01HL161004 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BUEHLER, PAUL WERNER, D'ALESSANDRO, ANGELO · 2022 to 2025
$2.7M
Interactions between the ADORA2b/Sphk1axis and the AE1-Hb switch in red blood cell aging in vivo and in vitroR01HL149714 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI D'ALESSANDRO, ANGELO · 2020 to 2023
$2.6M
MIRAGES: Metabolic Investigation of Red blood cells as a function of Aging, Genetics, Environment, and StorageR21HL150032 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI D'ALESSANDRO, ANGELO · 2020 to 2021
$414k
NHLBI NIH HHS R01 HL146442NHLBI NIH HHS R01 HL148151NHLBI NIH HHS R01 HL149714NHLBI NIH HHS R01 HL161004NHLBI NIH HHS R21 HL150032NIGMS NIH HHS RM1 GM131968
6 · The paper itself

Abstract

backgroundIon and metal homeostasis are critical to red blood cell physiology and Inductively Coupled Plasma (ICP) is a decades old approach to pursue elemental analysis. Recent evolution of ICP has resulted in its coupling to mass spectrometry (MS) instead of atomic absorption/emission.

methodsHere we performed Inductively-coupled plasma mass spectrometry (ICP-MS) measurements of intra- and extra-cellular Na, K, Ca, Mg, Fe, and Cu in red blood cells undergoing ionic, heat, or starvation stress. Results were correlated with Ca measurements from other common platforms (e.g., fluorescence-based approaches) and extensive measurements of red blood cell metabolism.

resultsAll stresses induced significant intra- and extracellular alterations of all measured elements. In particular, ionomycin treatment or hypertonic stress significantly impacted intracellular sodium and extracellular potassium and magnesium levels. Iron efflux was observed as a function of temperatures, with ionic and heat stress at 40°C causing the maximum decrease in intracellular iron pools and increases in the supernatants. Strong positive correlation was observed between calcium measurements

conclusionIn the era of omics approaches, ICP-MS affords a comprehensive characterization of intracellular elements that provide direct insights on red blood cell physiology and represent meaningful covariates for data generated

Indexed as

calciuminductively coupled plasmaironmetabolomicspotassiumRBC deathsodium

Identifiers

PMID35197866
PMCPMC8859330
OpenAlexW4210467358

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.