Evidence map›Paper›PMID 34741868›Full record

ArticleInternational immunopharmacology2021

Phenylalanine and COVID-19: Tracking disease severity markers.

Rafael Luís Luporini, Henrique Pott-Junior, Maria Carolina B Di Medeiros Leal, Alex Castro, Antonio Gilberto Ferreira, Marcia Regina Cominetti, Fernanda de Freitas Anibal

Open access · greenAbstract read
In one paragraph

Article in International immunopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Rafael Luís LuporiniDepartment of Medicine, Federal University of São Carlos (UFSCar), São Carlos, Brazil; Biotechnology Graduate Program, Federal University of São Carlos (UFSCar), São Carlos, Brazil.
Henrique Pott-JuniorDepartment of Medicine, Federal University of São Carlos (UFSCar), São Carlos, Brazil. Electronic address: henriquepott@ufscar.br.
Maria Carolina B Di Medeiros LealDepartment of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, Brazil.
Alex CastroDepartment of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, Brazil.
Antonio Gilberto FerreiraDepartment of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, Brazil.
Marcia Regina CominettiDepartment of Gerontology, Federal University of São Carlos (UFSCar), São Carlos, Brazil.
Fernanda de Freitas AnibalBiotechnology Graduate Program, Federal University of São Carlos (UFSCar), São Carlos, Brazil; Department of Biological Sciences Parasitology, Federal University of São Carlos (UFSCar), São Carlos, Brazil.
Universidade Federal de São Carlos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there are several severity predictors for COVID-19, none are specific. Serum levels of phenylalanine were recently associated with increased inflammation, higher SOFA scores, ICU admission, and mortality rates among non-COVID-19 patients. Here, we investigated the relationship between phenylalanine and inflammatory markers in adults with COVID-19.

methodsWe assessed adults with COVID-19 at hospital admission for clinical and laboratory data. Nuclear magnetic resonance spectroscopy measured serum levels of phenylalanine and other amino acids of its metabolomic pathway. Flow Cytometry measured serum levels of IL-2, IL-4, IL-6, Il-10, TNF-α, and IFN-γ. Linear regression models adjusted for potential confounders assessed the relationship between serum levels of phenylalanine and inflammatory cytokines.

resultsPhenylalanine and tyrosine were significantly lower in mild disease as compared to moderate and severe groups. Linear regression models showed that phenylalanine is independently and positively associated with disease severity regardless of the cytokine analyzed and after adjustment for potential confounders. In addition, mild cases showed consistently lower serum phenylalanine levels within the first ten days from disease onset to hospital admission.

conclusionsPhenylalanine is a marker of disease severity. This association is independent of the time between the onset of symptoms and the magnitude of the inflammatory state.

Indexed as

AdultAgedAged, 80 and overBiomarkersComorbidityCOVID-19Cross-Sectional StudiesCytokinesFemaleHumansInflammationLinear ModelsMaleMiddle AgedPhenylalanineSeverity of Illness IndexBiomarkersCytokinesPhenylalanineCOVID-19CytokinesPhenylalanineSARS-CoV-2Tyrosine

Identifiers

PMID34741868
PMCPMC8559801
OpenAlexW3209908560

What OpenQuestion holds

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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.