Evidence map›Paper›PMID 36118243›Full record

ArticleFrontiers in microbiology2022

Combined urine metabolomics and 16S rDNA sequencing analyses reveals physiological mechanism underlying decline in natural mating behavior of captive giant pandas.

Ming-Yue Zhang, Xue-Ying Wang, James Ayala, Yu-Liang Liu, Jun-Hui An, Dong-Hui Wang, Zhi-Gang Cai, Rong Hou, Kai-Lai Cai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Ming-Yue ZhangChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Xue-Ying WangChengdu Research Base of Giant Panda Breeding, Chengdu, China.
James AyalaChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Yu-Liang LiuChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Jun-Hui AnChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Dong-Hui WangChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Zhi-Gang CaiChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Rong HouChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Kai-Lai CaiChengdu Research Base of Giant Panda Breeding, Chengdu, China.
Chengdu Research Base of Giant Panda Breeding · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The decline in natural mating behavior is the primary reason underlying in the poor population growth of captive giant pandas. However, the influencing factors and underlying mechanisms remain unclear to data. It is speculated that the decline in natural mating behavior could be related to the psychological stress caused by captivity, which restricts their free choice of mates. In order to test this hypothesis, we performed urinary metabolomics analysis using Ultra-High-Performance Liquid Chromatography-Mass Spectrometry (UHPLC/-MS) combined with 16S rDNA sequencing for exploring the physiological mechanism underlying the decline in the natural mating behavior of captive giant panda. The results demonstrated that the decline in mating ability could be related to abnormalities in arginine biosynthesis and neurotransmitter synthesis. Additionally, the relative abundance of bacteria from the Firmicutes, Proteobacteria, and Actinobacteria phyla and the

Indexed as

16s rDNA sequencingcaptive giant pandadecline in mating behaviormate choicemetabolomics

Identifiers

PMID36118243
PMCPMC9478395
OpenAlexW4294167798

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.