Evidence map›Paper›PMID 38259949›Full record

ArticleFrontiers in plant science2023

Physicochemical properties and molecular mechanisms of different resistant starch subtypes in rice.

Cheng Liang, Haoyang Xu, Hui You, Ouling Zhang, Yiman Han, Qingyu Li, Yungao Hu, Xunchao Xiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 1 country.

Cheng LiangLab of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China.
Haoyang XuLab of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China.
Hui YouLab of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China.
Ouling ZhangLab of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China.
Yiman HanLab of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China.
Qingyu LiSchool of Medicine, Tsinghua University, Beijing, China.
Yungao HuLab of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China.
Xunchao XiangLab of Plant Molecular Genetics and Breeding, Southwest University of Science and Technology, Mianyang, China.
Southwest University of Science and Technology · CNRice Research Institute · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistant starch (RS) can help prevent diabetes and decrease calorie intake and that from plants are the main source of mankind consumption. Rice is many people's staple food and that with higher RS will help health management. A significantly positive correlation exists between apparent amylose content (AAC) of rice and its RS content. In this study, 72 accessions with moderate or high AAC were selected to explore the regulatory mechanisms and physicochemical properties on different proceeding types of rice RS. RS in raw milled rice (RSm), hot cooked rice (RSc), and retrogradation rice (RSr) showed a wide variation and distinct controlling mechanisms. They were co-regulated by

Indexed as

gene expression patternsgene interactionresistant starchrice (Oryza sativa L.)starch granule propertiestargeted-gene association study

Identifiers

PMID38259949
PMCPMC10800921
OpenAlexW4390689433

What Socratic 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 Socratic graph.