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Short chain fatty acids (SCFAs; including acetate, propionate, and butyrate) are an important class of biological molecules that play a major role in modulating host-microbiome interactions. Despite significant research into SCFA-mediated biological mechanisms, absolute quantification of these molecules in their native form by liquid chromatography mass spectrometry is challenging due to their relatively poor chromatographic properties. Herein, we introduce SQUAD, an isotope-based strategy for absolute quantification of SCFAs in complex biological samples. SQUAD uses aniline derivatization in conjunction with isotope dilution and analysis by reverse-phase liquid chromatography mass spectrometry. We show that SQUAD enables absolute quantification of biologically relevant SCFAs in complex biological samples with a lower limit of detection of 40 nM and a lower limit of quantification ranging from 160 nM to 310 nM. We observed an intra- and inter-day precision under 3% (relative standard deviation) and errors in intra- and inter-day accuracy under 10%. To demonstrate this quantification strategy, we analyzed SCFAs in the caecal contents of germ free versus conventionally raised specific pathogen free (SPF) mice. We showed that acetate was the most abundant SCFA in both types of mice and was present at 200-fold higher concentration in the SPF mice. We also illustrated the use of our quantification strategy in in vitro microbial cultures from five different species of bacteria grown in Mueller Hinton media. This study illustrates the diverse SCFA production rates across microbial taxa with acetate production serving as one of the key differentiating factors across the species. In summary, we introduce an isotope dilution strategy for absolute quantification of aniline-dativized SCFAs and illustrate the utility of this approach for microbiome research.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267093 | PLOS |
Eur J Clin Pharmacol
September 2025
Department of Clinical Pharmacy and Pharmacology, University of Groningen, and University Medical Center Groningen, Groningen, The Netherlands.
Purpose: Non-adherence to inhaled medication poses a significant clinical and economic burden on patients with respiratory diseases. This narrative review provides an overview of key aspects of hair analysis, in general and specific for inhaled medications, and explores the potential of hair analysis as a novel tool to monitor adherence to inhaled medications.
Methods: PubMed searches were conducted to explore four aspects: (1) mechanisms of (inhaled) drug's systemic absorption and deposition in hair; (2) quantification of drugs in hair; (3) factors impacting (inhaled) drug hair concentrations; and (4) clinical studies assessing inhaled medication adherence through hair analysis.
Pract Lab Med
September 2025
Department of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Background: Nucleic Acid Amplification Tests (NAAT) remain one of the most reliable methods for pathogen identification. Given the high false-negative rates associated with traditional staining and microscopic examination, the time-consuming nature and low sensitivity of bacterial culture methods, as well as the inability of conventional NAAT to achieve absolute quantification.
Methods: To achieve rapid and quantitative detection of , we selected the 23S rRNA gene as the target for identification and developed a droplet digital PCR detection method.
Paediatr Child Health
August 2025
Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Objectives: Cobb angle is a standard method for quantification of scoliosis in adolescent idiopathic scoliosis to guide treatment decisions. Precise and timely curve detection can ensure early referrals, amenable for bracing. Radiology reports serve as a guiding tool for family physicians to expedite specialist referrals.
View Article and Find Full Text PDFJ Cereb Blood Flow Metab
September 2025
Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Functional PET (fPET) identifies stimulation-specific changes of physiological processes, individual molecular connectivity and group-level molecular covariance. Since there is currently no consistent analysis approach available for these techniques, we present a toolbox for unified fPET assessment. The toolbox supports analysis of data obtained with a variety of radiotracers, scanners, experimental protocols, cognitive tasks and species.
View Article and Find Full Text PDFACS Appl Bio Mater
September 2025
Department of Mechanical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan.
Albumin and γ-globulin concentrations in an electrolyte solution have been quantified by a multivariate-regressive Gaussian admittance relaxation times distribution (mgARTD). The mgARTD is built based on the training data consisting of the impedance spectroscopy system measurement result of protein mixture solutions with a known concentration of albumin, γ-globulin, and sodium electrolyte to perform concentration quantification on a prospective protein mixture solution with an unknown concentration. The mgARTD consists of three steps: (1) Prediction step of the peak matrix by Gaussian ARTD (gARTD) with the Gaussian process and peak detection algorithm, (2) Training step of the approximated coefficient matrix ̃ based on the multivariate-regressive formula = + (: multivariate-regression coefficient matrix, : error matrix, and : known concentration matrix of the training data set), and (3) Quantification step of the approximated concentration ̃ based on the Gauss-Newton algorithm from the predicted of the quantification data and the approximated ̃.
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