Evidence map›Paper›PMID 34165916›Full record

ArticleCurrent protocols2021

Enhanced Detection of Short-Chain Fatty Acids Using Gas Chromatography Mass Spectrometry.

Haiwei Gu, Paniz Jasbi, Jeffrey Patterson, Yan Jin

Open access · greenAbstract read
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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  6. Metabolomics Effects of Folding Correction in Retinitis Pigmentosa Rhodopsin Mutant P23A.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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

4 authors at 2 institutions in 1 country.

Haiwei GuArizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Phoenix, Arizona.
Paniz JasbiArizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Phoenix, Arizona.
Jeffrey PattersonArizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Phoenix, Arizona.
Yan JinArizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Phoenix, Arizona.
Arizona State University · USUniversity of Arizona · US

Funding

TGF-ß-SOX18-Collagen metabolism in pulmonary vascular disease associated with CHDP01HL146369 · NHLBI · UNIVERSITY OF ARIZONA · PI Stephen M Black · 2020 to 2026
$18.7M
Developmental PBDE exposure, gut microbiome, and diabetesR01ES030197 · NIEHS · UNIVERSITY OF WASHINGTON · PI Julia Yue Cui, Haiwei Gu · 2019 to 2026
$5.0M
NHLBI NIH HHS P01 HL146369NIEHS NIH HHS R01 ES030197NIH HHS 1P01HL146369-01A1NIH HHS 1R01ES030197-01
6 · The paper itself

Abstract

Short-chain fatty acids (SCFAs) are produced mainly by intestinal microbiota and play an important role in many host biological processes such as immune system development, glucose and energy homeostasis, and regulation of immune response and inflammation. In addition, they participate in the regulation of anorectic hormones, which have a role in appetite control, tumor suppression, and regulating the central and peripheral nervous systems. As such, there is great interest in monitoring levels of SCFAs in various biological samples. Due to the highly hydrophilic and volatile characteristics of SCFAs, optimizing extraction and sample preparation procedures is often a central component to further improve SCFA quantification. Here, we describe a rapid and highly sensitive analytical method for measuring SCFAs in human serum and feces. Briefly, SCFAs are protected by adding sodium hydroxide, followed by a one-step extraction (pH > 7). Then, SCFAs are quantified by gas chromatography coupled to mass spectrometry (GC-MS) after derivatization with N-tert-butyldimethylsilyl-N-methyltrifluoroacetamide (MTBSTFA). This method demonstrates excellent sensitivity, linearity, and derivatization efficiency for simultaneous determination of 14 different SCFAs. Further, this validated method can be successfully applied to quantify SCFAs in micro-scale biological samples. In summary, we describe efficient and advanced sample preparation and detection procedures that are critically needed for monitoring SCFA concentrations in human biological samples. © 2021 Wiley Periodicals LLC. Basic Protocol: SCFA extraction and detection from fecal and serum samples with gas chromatography-mass spectrometry.

Indexed as

Fatty Acids, VolatileGastrointestinal MicrobiomeFecesGas Chromatography-Mass SpectrometryHumansSpecimen HandlingFatty Acids, Volatilegas chromatographymass spectrometrymetabolomicsmicrobiomeshort-chain fatty acids

Identifiers

PMID34165916
PMCPMC8238372
OpenAlexW3176213872

What OpenQuestion holds

Textmetadata
LicenceTDM
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.