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Characterizing amino-acid biosignatures amongst individuals with schizophrenia: a case–control study

Overview of attention for article published in Amino Acids, May 2018
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Title
Characterizing amino-acid biosignatures amongst individuals with schizophrenia: a case–control study
Published in
Amino Acids, May 2018
DOI 10.1007/s00726-018-2579-6
Pubmed ID
Authors

Bing Cao, Dongfang Wang, Elisa Brietzke, Roger S. McIntyre, Zihang Pan, Danielle Cha, Joshua D. Rosenblat, Hannah Zuckerman, Yaqiong Liu, Qing Xie, Jingyu Wang

Abstract

Amino acids and derivatives participate in the biosynthesis and downstream effects of numerous neurotransmitters. Variations in specific amino acids have been implicated in the pathophysiology of schizophrenia. Herein, we sought to compare levels of amino acids and derivatives between subjects with schizophrenia and healthy controls (HC). Two hundred and eight subjects with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria (DSM-IV)-defined schizophrenia and 175 age- and sex-matched HC were enrolled. The levels of twenty-five amino acids and seven related derivatives were measured in plasma samples using hydrophilic interaction liquid chromatography (HILIC) liquid chromatography-tandem mass spectrometry (LC-MS). After controlling for age, sex and body mass index (BMI), four amino acids and derivatives (i.e., cysteine, GABA, glutamine and sarcosine) were observed to be higher in the schizophrenia group when compared with HC; seven amino acids and derivatives were lower in the schizophrenia group (i.e., arginine, L-ornithine, threonine, taurine, tryptophan, methylcysteine, and kynurenine). Statistically significant differences in plasma amino-acid profiles between subjects with first-episode vs. recurrent schizophrenia for aspartate and glutamine were also demonstrated using generalized linear models controlling for age, sex, and BMI. The differences in amino acids and derivatives among individuals with schizophrenia when compared to HC may represent underlying pathophysiology, including but not limited to dysfunctional proteinogenic processes, alterations in excitatory and inhibitory neurotransmission, changes in ammonia metabolism and the urea cycle. Taken together, amino-acid profiling may provide a novel stratification approach among individuals with schizophrenia.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Researcher 6 15%
Student > Postgraduate 4 10%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Other 5 13%
Unknown 11 28%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Chemistry 3 8%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Neuroscience 2 5%
Other 4 10%
Unknown 17 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 July 2018.
All research outputs
#15,002,907
of 23,081,466 outputs
Outputs from Amino Acids
#991
of 1,528 outputs
Outputs of similar age
#199,002
of 330,256 outputs
Outputs of similar age from Amino Acids
#14
of 30 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,528 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.