The development of quantitative strategies for targeted biomarker analysis represents an urgent task especially in the field of clinical diagnosis. In this regard, the measurement of glycohaemoglobin (HbA(1c)) in blood has become the most specific way of monitoring long-term glycaemia in diabetic patients. Thus, there is an urgent need for methods that provide accurate and precise HbA(1c) results. A new method for the determination of HbA(1c) in blood samples based on the complementary use of multidimensional liquid chromatography (LC) and elemental (inductively coupled plasma mass spectrometry, ICP-MS) and molecular (electrospray-mass spectrometry, ESI-MS) MS techniques has been developed and validated. Different multidimensional separation possibilities by combining affinity and cation exchange chromatography have been explored for the adequate isolation of HbA(1c), which purity is addressed by ESI-MS. The workflow includes a final quantitative determination of HbA(1c) by elemental (Fe) isotope dilution analysis (IDA) with ICP-MS. For this purpose, the post-column addition of the isotopically labeled iron ((57)Fe) has been used to quantify the eluting Fe-species from the column. The IDA methodology has been validated by analyzing a certified reference material and several samples from patients whose HbA(1c) levels were determined by a standard reference method.
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http://dx.doi.org/10.1016/j.jprot.2010.07.011 | DOI Listing |
Mol Autism
December 2024
Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Background: Angelman syndrome (AS), a severe neurodevelopmental disorder resulting from the loss of the maternal UBE3A gene, is marked by changes in the brain's white matter (WM). The extent of WM abnormalities seems to correlate with the severity of clinical symptoms, but these deficits are still poorly characterized or understood. This study provides the first large-scale measurement of WM volume reduction in children with AS.
View Article and Find Full Text PDFHum Genomics
December 2024
Department of Stomatology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Background: Oral squamous cell carcinoma (OSCC) is an aggressive malignancy with poor prognosis. Neutrophil infiltration has been associated with unfavorable outcomes in OSCC, but the underlying molecular mechanisms remain unclear.
Methods: This study integrated single-cell transcriptomics (scRNA-seq) with bulk RNA-seq data to analyze neutrophil infiltration patterns in OSCC and identify key gene modules using weighted gene co-expression network analysis (hdWGCNA).
Cancer Cell Int
December 2024
Laboratory of Stem Cell Regulation with Chinese Medicine and Its Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China.
Oral cancer progresses from asymptomatic to advanced stages, often involving cervical lymph node metastasis, resistance to chemotherapy, and an unfavorable prognosis. Clarifying its potential mechanisms is vital for developing effective theraputic strategies. Recent research suggests a substantial involvement of non-coding RNA (ncRNA) in the initiation and advancement of oral cancer.
View Article and Find Full Text PDFMol Med
December 2024
Department of Otolaryngology-Head and Neck Surgery, Chonnam National University Medical School and Chonnam National University Hospital, 42 Jaebong-Ro, Dong-Gu, Gwangju, 61469, Republic of Korea.
Background: Recent studies have identified hearing loss (HL) as a primary risk factor for Alzheimer's disease (AD) onset. However, the mechanisms linking HL to AD are not fully understood. This study explored the effects of drug-induced hearing loss (DIHL) on the expression of proteins associated with AD progression in mouse models.
View Article and Find Full Text PDFClin Transl Oncol
December 2024
Núcleo de Genética Humana e Molecular, Universidade Federal do Espírito Santo (UFES), Av. Fernando Ferrari, N. 514, Prédio Ciências Biológicas, Bloco A, Sala 106, Vitória, Espírito Santo, Brasil.
The pan-cancer and multi-omics approach is motivated by the genetic and molecular complexity inherent in the varied types of cancer. This method presents itself as a crucial resource for advancing early diagnosis, defining prognoses and identifying treatments that share common bases between different forms of tumors. The aim of this article is to explore pan-cancer analysis in conjunction with multi-omics strategies, evaluating laboratory, computational, clinical procedures and their consequences, as well as examining the tumor microenvironment, epigenetics and future directions of these technologies in patient management.
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