Evidence map›Paper›PMID 40559418›Full record

ArticleMetabolites2025

Metabolite Profile and Metabolic Network Analysis of Walnuts (

Kai Liu, Yang Li, Yaxin Sang, Yaru Zhang, Xiuhong An, Hongxia Wang, Ruifen Zhang

Erratum issuedAbstract read
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In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. The Pan-Plastome of Walnuts (International journal of molecular sciences · 2026
    Article
  2. Article
  3. Article
  4. Comparative Transcriptome Analysis of Walnuts (Plants (Basel, Switzerland) · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kai LiuScientific Research Office, BinZhou Polytechnic, Binzhou 256603, China.
Yang LiScientific Research Office, BinZhou Polytechnic, Binzhou 256603, China.
Yaxin SangCollege of Food Science and Technology, Hebei Agricultural University, Baoding 071000, China.
Yaru ZhangScientific Research Office, BinZhou Polytechnic, Binzhou 256603, China.
Xiuhong AnCollege of Horticulture, Hebei Agricultural University, Baoding 071000, China.
Hongxia WangCollege of Horticulture, Hebei Agricultural University, Baoding 071000, China.
Ruifen ZhangQingdao Academy of Agricultural Sciences, Qingdao 266000, China.

Funding

Binzhou Polytechnic Doctoral Fund 2022bzbs01the National Key Research and Development Program 2019YFD1001603the National Key Research and Development Program of the 14th Five Year Plan 2022YFD2200402
6 · The paper itself

Abstract

backgroundWalnut (

methodsIn this study, we utilized LC-MS/MS-based non-targeted metabolomics to analyze differential metabolites in two walnut cultivars exposed to chilling stress at 0.5 °C for 0 and 48 h.

resultsA total of 1504 metabolites were identified, including 871 in positive ion mode and 633 in negative ion mode. Specifically, 160 and 287 differential metabolites were detected in 'Qingxiang' and 'Liaoning No.8', respectively, under positive ion mode. In negative ion mode, 83 and 206 differential metabolites were identified in 'Qingxiang' and 'Liaoning No.8', respectively. These metabolites were primarily associated with α-linolenic acid metabolism, phenylpropanoid biosynthesis, flavonoid biosynthesis, and phenylalanine metabolism, and multiple candidate genes were obtained that exhibit significant correlations with metabolites, suggesting their critical roles in the walnut's response to chilling stress.

conclusionsThis study proposes a metabolic network for walnut leaves under chilling stress, enriching our understanding of the metabolic adaptation mechanisms of walnuts to low-temperature conditions. It lays a foundation for investigating the regulatory mechanisms of metabolite synthesis under cold stress and provides important theoretical insights for breeding cold-resistant walnut cultivars.

Indexed as

chilling stressflavonoidJuglans regiametabolic network

Identifiers

PMID40559418
PMCPMC12195032

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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.