Evidence map›Paper›PMID 40596295›Full record

ArticleScientific reports2025

Nutritional profiling of foods for Phenylketonuria.

O Lubina, A Daly, M Auzenbaha, L Gailite, S Laktina, A Macdonald

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Antioxidants (Basel, Switzerland) · 2026
    Review
  2. Article
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.

O LubinaChildren's Clinical University Hospital, Riga, 1004, Latvia. olga.lubina@bkus.lv.
A DalyDietetic Department, Birmingham Children's Hospital, Steelhouse Lane, Birmingham, B4 6NH, UK.
M AuzenbahaChildren's Clinical University Hospital, Riga, 1004, Latvia.
L GailiteInstitute of Oncology and Molecular Genetics , Riga Stradins University, Riga, 1007, Latvia.
S LaktinaChildren's Clinical University Hospital, Riga, 1004, Latvia.
A MacdonaldDietetic Department, Birmingham Children's Hospital, Steelhouse Lane, Birmingham, B4 6NH, UK.

Funding

RSU Internal grant No 6-ZD-22/26/2023The project "RSU internal and RSU with LSPA external consolidation" No. 5.2.1.1.i.0/2/24/I/CFLA/005
6 · The paper itself

Abstract

A phenylalanine (Phe)-restricted diet is the only effective treatment in patients with classical phenylketonuria (PKU) in Latvia. This study analysed the protein and Phe content of 28 foods, including some Latvian-specific foods, aiming to expand the range of foods given to the Latvian PKU population. After consultation with Latvian parents and patients a list of preferred foods for analysis was collated. Preference was given to local foods and products were no or limited information about protein and Phe content was available. All food samples were collected from November 2023 until May 2024. Foods were analyzed by protein and amino acid content and compared with international databases. Phe content is reported as mg Phe/100 g of product. The highest amounts were found in microgreens from peas 200 mg/100 g, nettle 210 mg/100 g, wild garlic 140 mg/100 g.The Phe amount in garden cress and sunflower seed microgreen was 150 mg and 140 mg/100 g. A lower Phe content was found in radish 100 mg/100 g and broccoli microgreens: 97 mg/100 g. This study demonstrates that microgreens, and traditional products like sorrel and nettles should be measured within a Phe restricted diet. Rhubarb, celery stalk, raisins and leeks can be eaten without measurement or restriction.

Indexed as

Food AnalysisNutritive ValuePhenylketonuriasAmino AcidsHumansLatviaPhenylalanineAmino AcidsPhenylalanineAmino acidDietInherited metabolic disorderNutrientPhenylketonuria

Identifiers

PMID40596295
PMCPMC12216756

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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.