Determination of plasma pipecolic acid by an easy and rapid liquid chromatography-tandem mass spectrometry method

LC-MS based metabolic profiling and wound healing activity of a chitosan nanoparticle-loaded formula of Teucrium polium in diabetic rats

Healing of wounds is the most deteriorating diabetic experience. Felty germander (Teucrium polium) possesses antioxidant, anti-inflammatory and antimicrobial activities that could accelerate wound healing. Further, nanohydrogels help quicken healing and are ideal biomaterials for drug delivery. In the current study, the chemical profiling, and standardization of T. polium methanolic extract by LC-ESI/TOF/MS/MS and quantitative HPLC-DAD analyses were achieved. The wound healing enhancement in diabetic rats by T. polium nanopreparation (TP-NP) as chitosan nanogel (CS-NG) and investigating the potential mechanisms were investigated. The prepared hydrogel-based TP-NP were characterized with respect to particle size, zeta potential, pH, viscosity, and release of major components. LC-ESI/TOF/MS/MS metabolomic profiling of T. polium revealed the richness of the plant with phenolic compounds, particularly flavonoids. In addition, several terpenoids were detected. Kaempferol content of T. polium was estimated to be 7.85 ± 0.022 mg/ g of dry extract. The wound healing activity of TP-NP was explored in streptozotocin-induced diabetic rats. Diabetic animals were subjected to surgical wounding (1 cm diameter). Then they were divided in 5 groups (10 each). These included Group 1 (untreated control rats), Group 2 received the vehicle of CS-NG; Group 3 (0.5 g of TP prepared in hydrogel), Group 4 (0.5 g of TP-NP), Group 5 represented a positive control treated with 0.5 g of a commercial product. All treatments were applied topically for 21 days. Application of TP-NP on skin wounds of diabetic animals accelerated the healing process as evidenced by epithelium regeneration, formation of granulation tissue followed by epidermal proliferation, along with keratinization as verified by H&E. This was confirmed through enhanced collagen synthesis, as shown by raised hydroxyproline content and Col1A1 gene expression. Moreover, TP-NP significantly alleviated wound oxidative burst and diminished the expressions of inflammatory biomarkers. Meanwhile, TP-NP could enhance the expressions of transforming growth factor beta1 (TGF-β1), in addition to the angiogenic markers; vascular endothelia growth factor A (VEGFA) and platelet-derived growth factor receptor alpha (PDGFRα). Collectively, chitosan nanogel of T. polium accelerates wound healing in diabetic rats, which could be explained - at least partly - through alleviating oxidative stress and inflammation coupled with pro-angiogenic capabilities.

Metabolic Profiling Identified a Novel Biomarker Panel for Metabolic Syndrome-Positive Hepatocellular Cancer

Metabolic syndrome (MetS) is an independent risk factor for hepatocellular cancer (HCC). Currently, there is no highly sensitive and specific biomarkers for HCC surveillance in MetS population. Metabolomics has been reported as a powerful technology for biomarker discovery. In the present study, we aimed to explore novel biomarkers with high sensitivity and specificity for MetS-positive [MetS(+)] HCC by metabolomic analysis. At first, many serum metabolites were found dysregulated in MetS(+) HCC individuals. Validation of the dysregulated metabolites by targeted metabolite analyses revealed that serum L-glutamic acid (L-glu), pipecolic acid (PA) and 7-methylguanine (7-mG) were increased in MetS(+) HCC compared to MetS group. Then a biomarker panel including L-glu, PA and alpha-fetoprotein (AFP) was identified as a novel biomarker for the diagnosis of MetS(+) HCC. Receiver operating characteristic (ROC) curve was drawn and the area under the ROC curve (AUC) was 0.87 for discriminating MetS(+) HCC from MetS group. The biomarker panel was capable of detecting small (AUC = 0.82) and early-stage (AUC = 0.78) tumors as well. Moreover, it exhibited great diagnostic performance (AUC = 0.93) for discriminating MetS(+) HCC from other MetS-associated cancers, including colorectal cancer and gastric cancer. Collectively, our study establishes a novel diagnostic tool for MetS(+) HCC.

Biomarker profiling of vitamin responsive seizures: a potential tool to detect pediatric seizures of unknown aetiology

Aim: Certain rare inborn errors of metabolism clinically present with intractable seizures that readily respond to vitamin therapy. If identified early, brain damage due to seizures can be prevented. Methodology: A LC-MS method was developed and validated for the simultaneous quantification of the biomarkers in selected vitamin responsive pediatric seizures from dried blood spots. Results: Application of the validated method to a seizure cohort of 46 patients indicated strong agreement of the method for clinical validity. Reference intervals for these biomarkers in dried blood spots were also determined for the population, after screening 956 neonates. Conclusion: The developed method was seen to be sensitive, linear, accurate and precise for testing vitamin responsive pediatric seizures.

Laboratory diagnosis of disorders of peroxisomal biogenesis and function: a technical standard of the American College of Medical Genetics and Genomics (ACMG)

Peroxisomal disorders are a clinically and genetically heterogeneous group of diseases caused by defects in peroxisomal biogenesis or function, usually impairing several metabolic pathways. Peroxisomal disorders are rare; however, the incidence may be underestimated due to the broad spectrum of clinical presentations. The inclusion of X-linked adrenoleukodystrophy to the Recommended Uniform Screening Panel for newborn screening programs in the United States may increase detection of this and other peroxisomal disorders. The current diagnostic approach relies heavily on biochemical genetic tests measuring peroxisomal metabolites, including very long-chain and branched-chain fatty acids in plasma and plasmalogens in red blood cells. Molecular testing can confirm biochemical findings and identify the specific genetic defect, usually utilizing a multiple-gene panel or exome/genome approach. When next-generation sequencing is used as a first-tier test, evaluation of peroxisome metabolism is often necessary to assess the significance of unknown variants and establish the extent of peroxisome dysfunction. This document provides a resource for laboratories developing and implementing clinical biochemical genetic testing for peroxisomal disorders, emphasizing technical considerations for sample collection, test performance, and result interpretation. Additionally, considerations on confirmatory molecular testing are discussed.

Biomarker Profiling for Pyridoxine Dependent Epilepsy in Dried Blood Spots by HILIC-ESI-MS

Pyridoxine dependent epilepsy is a condition where the affected infant or child has prolonged seizures (status epilepticus), which are nonresponsive to anticonvulsant therapy but can be treated with pharmacological doses of pyridoxine. If identified earlier and treated prophylactically with pyridoxine, severe brain damage due to seizures can be prevented. Alpha-amino adipic semialdehyde (AASA), piperidine-6-carboxylic acid (P6C), and pipecolic acid (PA) are known biomarkers of pyridoxine dependent epilepsy. We report the development and validation of a hydrophilic interaction liquid chromatography (HILIC) hyphenated with mass spectroscopy for the quantification of the above analytes from dried blood spot samples. The samples were extracted using methanol and analysed on a iHILIC fusion plus column with formic acid buffer (pH 2.5): acetonitrile (20:80) at a flow rate of 0.5 mL/min within 3 minutes. The method demonstrated a LOD of 10 ng/mL, LOQ of 50 ng/mL, linearity of r² ≥ 0.990, and recovery of 92-101.98% for all analytes. The intra- and interday precision CVs were < 8% and 6%, respectively. Extensive stability studies demonstrated that the analytes were stable in stock solution and in matrix when stored at -80°C. We performed method comparison studies of the developed method with the literature reported method using normal samples and matrix matched spiked samples at pathological concentrations to mimic clinical validity. The Bland-Altman analysis for comparison of the analytical suitability of the method for the biomarkers in healthy and spiked samples with the literature reported method revealed a bias which suggested that the method was comparable. The newly developed method involves no derivatisation and has a simple sample preparation and a low run time enabling it to be easily automated with a high sample throughput in a cost-effective manner.