Evidence map›Paper›PMID 36232846›Full record

ArticleInternational journal of molecular sciences2022

Lipidomics for Determining Giant Panda Responses in Serum and Feces Following Exposure to Different Amount of Bamboo Shoot Consumption: A First Step towards Lipidomic Atlas of Bamboo, Giant Panda Serum and Feces by Means of GC-MS and UHPLC-HRMS/MS.

Chenglin Zhu, Xin Pan, Guo Li, Caiwu Li, Daifu Wu, Junni Tang, Yan Huang, Likou Zou, Luca Laghi

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. DietaryFoods (Basel, Switzerland) · 2026
    Article
  2. IMA fungus · 2026
    Article
  3. Article
  4. Review
  5. 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

9 authors at 4 institutions in 2 countries.

Chenglin ZhuCollege of Food Science and Technology, Southwest Minzu University, Chengdu 610041, China.ORCID 0000-0003-3486-1936
Xin PanResearch Center of Giant Panda National Park, Chengdu University of Technology, Chengdu 611059, China.
Guo LiKey Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda, Dujiangyan 611800, China.
Caiwu LiKey Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda, Dujiangyan 611800, China.
Daifu WuKey Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda, Dujiangyan 611800, China.
Junni TangCollege of Food Science and Technology, Southwest Minzu University, Chengdu 610041, China.
Yan HuangKey Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, The China Conservation and Research Center for the Giant Panda, Dujiangyan 611800, China.
Likou ZouCollege of Resources, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-5635-8277
Luca LaghiDepartment of Agricultural and Food Sciences, University of Bologna, 47521 Cesena, Italy.ORCID 0000-0003-1593-7376
Chengdu Research Base of Giant Panda Breeding · CNSouthwest Minzu University · CNSichuan Agricultural University · CNUniversity of Bologna · IT

Funding

Open Project of Key Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park, the China Conservation and Research Center for the Giant Panda KLSFGAGP2020.003the High-level Talent Introduction Programs of Southwest Minzu University 16011211062the Natural Science Foundation of Sichuan Province 2022NSFSC1652
6 · The paper itself

Abstract

Lipidic metabolites play essential roles in host physiological health and growth performance, serving as the major structural and signaling components of membranes, energy storage molecules, and steroid hormones. Bamboo, as wild giant pandas' exclusive diet, is the main determinant of giant pandas' lipidome, both as a direct source and through microbiota activity. Interestingly, the consumption of bamboo has attracted little attention from a lipidomic perspective. In the current study, we outline the lipidomic atlas of different parts of bamboo. By gas chromatography-mass spectrometry (GC-MS), we have been able to obtain the absolute quantification of 35 fatty acids pertaining to short chain fatty acids (8), medium chain fatty acids (6), long chain fatty acids (17), and very long chain fatty acids (4), while liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS/MS) allowed us to obtain the relative quantification of another 1638 lipids. Among the fatty acids quantified in absolute terms, eight showed significantly distinct concentrations among different bamboo parts. Subsequently, we investigated how the giant panda's serum and fecal lipidome adapt to the most important annual change in their diet, represented by the consumption of high amounts of bamboo shoots, typical of spring, the weight-gaining season. Five fatty acids were significantly altered in feces and two in serum, respectively, due to the different levels of bamboo shoot consumption. Furthermore, significant differences of the main bacteria strains were observed in feces between the two groups at the genus level, pertaining to

Indexed as

UrsidaeAnimalsChromatography, High Pressure LiquidFatty AcidsFecesGas Chromatography-Mass SpectrometryHormonesLipidomicsLipidsVegetablesFatty AcidsHormonesLipidsbambooGC-MSgiant pandalipidomicsUHPLC-HRMS/MS

Identifiers

PMID36232846
PMCPMC9569542
OpenAlexW4297982304

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.