Evidence map›Paper›PMID 42650597›Full record

ArticleFoods (Basel, Switzerland)2026

Integrative Multi-Omics Elucidates the Molecular Mechanisms Underlying Sweet-Mellow Taste Formation During Withering of Niangniang Tea (Large-Leaf Yellow Tea).

Xia Lv, Yanxia Wang, Hao Guan, Li Lu, Juan Yang, Xiaosong Li, Hao Huang, Xiaozhen Huang, Litang Lu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xia LvCollege of Tea Science, Guizhou University, Guiyang 550025, China.
Yanxia WangCollege of Tea Science, Guizhou University, Guiyang 550025, China.
Hao GuanCollege of Tea Science, Guizhou University, Guiyang 550025, China.
Li LuCollege of Tea Science, Guizhou University, Guiyang 550025, China.
Juan YangTea Research Institute, Chongqing Academy of Agricultural Sciences, Yongchuan, Chongqing 402160, China.
Xiaosong LiTongren Academy of Agricultural Sciences, Tongren 554300, China.
Hao HuangGuizhou Poliu Tribute Tea Agricultural Development Co., Ltd., Zhenfeng 562200, China.
Xiaozhen HuangCollege of Tea Science, Guizhou University, Guiyang 550025, China.
Litang LuCollege of Tea Science, Guizhou University, Guiyang 550025, China.ORCID 0000-0002-5253-3349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Withering is a critical but poorly understood step in yellow tea processing. This study integrated metabolomics (ultra-performance liquid chromatography-tandem mass spectrometry, UPLC-MS/MS), transcriptomics (RNA sequencing, RNA-seq), and sensory evaluation to investigate dynamic changes in key metabolites and gene expression during withering (0-10 h) of Niangniang tea (NNT). Transcriptomic analysis was performed on leaves sampled directly during withering, while metabolomic profiling and sensory evaluation were conducted on finished teas processed from the corresponding withered leaves. A total of 1064 metabolites were identified. Sensory evaluation showed that 8 h of withering yielded the highest sweet-mellow taste scores. Theanine, L-aspartic acid, and L-arginine peaked at 8 h, while galloylated catechins decreased. Key regulatory genes (

Indexed as

flavor qualitymetabolomicstranscriptomicswitheringyellow tea

Identifiers

PMID42650597
PMCPMC13512699

What Socratic holds

Textmetadata
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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 Socratic graph.