Evidence map›Paper›PMID 35514707›Full record

ArticleRSC advances2019

Broadband terahertz recognizing conformational characteristics of a significant neurotransmitter γ-aminobutyric acid.

Chao Cheng, Zhongjie Zhu, Shaoping Li, Guanhua Ren, Jianbing Zhang, Haixia Cong, Yan Peng, Jiaguang Han, Chao Chang, Hongwei Zhao

Abstract read
In one paragraph

Article in RSC advances, 2019. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Chao ChengZhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences Shanghai 201210 China.
Zhongjie ZhuZhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences Shanghai 201210 China.
Shaoping LiSchool of Chemical Engineering, East China University of Science and Technology Shanghai 200237 China.
Guanhua RenZhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences Shanghai 201210 China.
Jianbing ZhangZhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences Shanghai 201210 China.
Haixia CongShanghai Institute of Applied Physics, Chinese Academy of Sciences Shanghai 201800 China zhaohongwei@sinap.ac.cn.
Yan PengShanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology No. 516, Jungong Road Shanghai 200093 China.
Jiaguang HanCenter for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronics Information and Technology, Ministry of Education, Tianjin University Tianjin 300072 China.
Chao ChangAdvanced Interdisciplinary Technology Research Center, National Innovation Institute of Defense Technology Beijing 100071 China changc@xjtu.edu.cn.
Hongwei ZhaoZhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences Shanghai 201210 China.ORCID https://orcid.org/0000-0002-1356-2382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

γ-Aminobutyric acid (GABA) is the chief inhibitory neurotransmitter in the central nervous system, its conformational behavior is critical for selective biological functions and the process of signal transmission. Although this neuroactive molecule has been extensively studied, its vibrational properties related to the conformation and intermolecular interactions in the terahertz (THz) band have not been identified experimentally yet. In this study, we applied a broadband THz time-domain spectroscopy (THz-TDS) system from 0.5 to 18 THz to characterize a unique THz fingerprint of GABA. The density functional theory calculation results agree well with the THz experimental spectrum. The study shows that the vibrational modes of GABA at 1.15 and 1.39 THz originate from distinct collective vibrations. The absorptions at the higher THz frequencies also carry part of collective vibrations, but more reflect the specific and local vibrational information, including the skeleton deformation and the rocking of the functional groups, which are closely associated with the conformation and flexibility of GABA. This study may help to understand the conformational transitions of neurotransmitter molecules and the resonant response to THz waves.

Identifiers

PMID35514707
PMCPMC9065752

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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.