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Skalska, M.

Publications and source records attributed to Skalska, M..

2 recordsLinked to original sources

Fresh Paraformaldehyde Preserves Thrombus Biochemistry - An ATR-FTIR and PCA Investigation of Pulmonary Artery Thrombi

BackgroundBiochemical analyses of pulmonary embolism derived thrombi depend critically on fixative quality. ObjectiveTo quantify the impact of paraformaldehyde (PFA) shelf life on thrombus molecular integrity using attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy and time-of-flight secondary ion mass spectroscopy (SIMS) combined with principal component analysis. MethodsTen pulmonary artery thrombi were fixed in either aged PFA (6 months; n = 6) or freshly prepared 4% PFA (n = 4); an in-vitro plasma clot control received the same fresh PFA. Triplicate ATR-FTIR spectra (400-4000 cm-1) were collected and vector-normalized to the Amide I band. ToF-SIMS measurements were performed using a 30 keV Bi primary ion beam Fixative chemistry was assessed by the carbonyl absorbance at 1700 cm-1. ResultsFreshly fixed thrombi displayed narrow Amide I (~1650 cm-1) and Amide II (~1540 cm-1) bands with a higher signal-to-noise ratio (SNR; median 41.8) than aged-PFA samples (18.2; P < .01). Carbonyl absorbance at 1700 cm-1 was markedly higher in fresh PFA. Aged PFA introduces chemical variances of biological samples in low-mass molecule fragments. PCA showed clear separation of fresh versus aged specimens and alignment of fresh thrombi with plasma controls across spectral windows. ConclusionsPFA solutions older than three months markedly deteriorate thrombus biochemical fidelity. ATR-FTIR and ToF-SIMS offer a rapid quality-control assay prior to molecular analyses. Key pointsO_LIPFA stored [&ge;]3 months loses >70% of reactive aldehydes, yielding broad Amide envelopes, attenuated lipid bands and a two fold SNR drop. C_LIO_LIAged PFA introduces chemical variances of biological samples in low-mass molecule fragments. C_LIO_LIPCA of fingerprint, protein or lipid windows cleanly separates aged from fresh fixations (PC1 up to 80% variance). C_LIO_LIA rapid QC workflow (carbonyl absorbance [&ge;]0.25 a.u. plus PCA verification) safeguards molecular integrity irrespective of patient age, DVT history or clinical severity. C_LIO_LIAdopting this workflow will harmonise multi centre clot biorepositories and enhance the reproducibility of proteomic, lipidomic and imaging studies. C_LI

biophysics↗

Revealing sphingolipids composition in extracellular vesicles and paternal β-cells after persistent hyperglycemia

Extended periods of hyperglycemia (HG) can lead to metabolic disorders of sphingolipids (SPs) and their subsequent accumulation in cells. This accumulation can trigger a range of complications, including kidney and neurodegenerative diseases. In our study, we compared the levels of selected ceramides (CER), hexosylceramides (HexCER), and glycosphingolipids (GSLs) in potential HG biomarkers - extracellular vesicles (EVs). These EVs were derived in vitro from human {beta}-cells cultured under both normoglycemic and high-glucose conditions (HG). We utilized Time of Flight - Secondary Ion Mass Spectrometry (ToF-SIMS) for SPs analysis. Our results confirmed that the lipid profiles of these three groups differ between large and small EVs, with some SP lipids being more enriched in EVs compared to cells. Interestingly, our study revealed that HG only regulates the lipid content from the glycosphingolipid group in relation to normoglycemia. Collectively, our findings underscore the potential applications of ToF-SIMS in characterizing the impact of different culture conditions on lipid levels. As far as we know, our study is the first which employs ToF-SIMS in analyzing the effects of HG on SP levels in EVs and their parental {beta}-cells. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC="FIGDIR/small/574464v2_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@169eed8org.highwire.dtl.DTLVardef@1bfddfforg.highwire.dtl.DTLVardef@187cdc4org.highwire.dtl.DTLVardef@d62aba_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIToF-SIMS effectively compares glycosphingolipid content in cells and EVs. C_LIO_LIAnalysis reveals lipid profile differences between EVs and their parent cells. C_LIO_LIHyperglycemia alters glycosphingolipid content in cells and EVs per ToF-SIMS. C_LI

biophysics↗