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EBW24 Previews
#EBW24 previews: State-of-the-art speaker for ‘Quality Management and pre-analytics: Pre-analytic impact on sample quality’

#EBW24 previews: State-of-the-art speaker for ‘Quality Management and pre-analytics: Pre-analytic impact on sample quality’

We are pleased to confirm the State-of-the-art speaker for the panel session: ‘Quality Management and pre-analytics: Pre-analytic impact on sample quality – means & measures’. Veronica Ghini from University of Florence will be leading this session and we profile her abstract and biography here. The session takes place on Wednesday 15 May 2024 as part of the EBW24 programme.

Abstract: NMR fingerprinting for sample quality assessment

The NMR-fingerprinting approach represents a very fast and immediate tool to obtain information about the quality of biological samples. The multivariate analysis of 2D NMR spectra is a sensitive tool for evaluating the higher-order structural integrity of high molecular weight molecules, such as monoclonal antibodies; an example will be provided for a monoclonal antibody against COVID-19 [1]. 

Fingerprinting of 1H-NMR spectra is largely used to monitor the metabolome and lipoproteome stability in human biofluids [2-4]. Significantly examples concern the evaluation of pre-analytical procedures essential for “high-quality samples” for biomedical applications [5,6].

Metabolomics can serve as an efficient tool to evaluate the quality of biobanked samples and to determine their shelf life-time. On the other hand biobanks must adhere to the metabolomic-based guidelines in order to support wider-scale application of metabolomics in biomedicine.

References:

[1] Cantini F, Andreano E, Paciello I, Ghini V, Berti F, Rappuoli R, Banci L. 2D NMR Analysis as a Sensitive Tool for Evaluating the Higher-Order Structural Integrity of Monoclonal Antibody against COVID-19. Pharmaceutics, 2022, 14 (10), 1981

[2] Ghini V, Abuja PM, Polasek O, Kozera L, Laiho P, Anton G, Zins M, Klovis J, MetspaluA, Wichmann H-E, Gieger C, Luchinat C, Zatloukal K, Turano P. Impact of the pre-examination phase on multicenter metabolomic studies. 2022, N Biotechnol, 68, 37-47.

[3] Ghini V, Abuja PM, Polasek O, Kozera L, Laiho P, Anton G, Zins M, Klovis J, MetspaluA, Wichmann H-E, Gieger C, Luchinat C, Zatloukal K, Turano P. Metabolomic fingerprints in large population cohorts: Impact of pre- analytical heterogeneity. 2021, Clin Chem, 67(8), 1153–1155.

[4] Ghini V, Quaglio D, Luchinat C, Turano P. NMR for sample quality assessment in metabolomics. N Biotechnol. 2019; 52:25-34.

[5] Ghini V, Vieri W, Celli T, (…), Landini G, Turano P. COVID-19: A complex disease with a unique metabolic signature. PLOS Path, 2023, 19(11), e1011787.

[6] Ghini V*, Meoni G*, Pelagatti L, Celli T, Veneziani F, Petrucci F, Vannucchi V, Bertini L, Luchinat C, Landini G, Turano P. Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients. PLoS Pathog, 2022, 18(4): e1010443.

Veronica Ghini

Veronica Ghini graduated cum laude in Biotechnology at the University of Florence. In 2016 she obtained the Ph.D. in Structural Biology from the same University. As a postdoc, she has been a recipient of a Fondazione Umberto Veronesi Fellowship (2018) and a AIRC Individual Fellowship (2019-2020). Since 2021 she is a post-doctoral fellow at the Department of Chemistry of the University of Florence. Her research activity is mainly dedicated to NMR-based metabolomics. She has been awarded the 2021 Premio “Lisa De Conciliis”, the 2022 Premio “Galileo Galilei Giovani 2022” and the 2023 GIDRM Under 35 Award.

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