Assessment of artificial intelligence to detect gasoline in fire debris using HS-SPME-GC/MS and transfer learning.

Due to the complex nature of the chemical compositions of ignitable liquids (IL) and the interferences from fire debris matrices, interpreting chromatographic data poses challenges to analysts. In this work, artificial intelligence (AI) was developed by transfer learning in a convolutional neural network (CNN), GoogLeNet. The image classification AI was fine-tuned to create intelligent classification systems to discriminate samples containing gasoline residues from burned substrates. All ground truth samples were analyzed by headspace solid-phase microextraction (HS-SPME) coupled with a gas chromatograph and mass spectrometer (GC/MS). The HS-SPME-GC/MS data were transformed into three types of image presentations, that is, heatmaps, extracted ion heatmaps, and total ion chromatograms. The abundance and mass-to-charge ratios of each scan were converted into image patterns that are characteristic of the chemical profiles of gasoline. The transfer learning data were labeled as "gasoline present" and "gasoline absent" classes. The assessment results demonstrated that all AI models achieved 100 ± 0% accuracy in identifying neat gasoline. When the models were assessed using the spiked samples, the AI model developed using the extracted ion heatmap obtained the highest accuracy rate (95.9 ± 0.4%), which was greater than those obtained by other machine learning models, ranging from 17.3 ± 0.7% to 78.7 ± 0.7%. The proposed work demonstrated that the heatmaps created from GC/MS data can represent chemical features from the samples. Additionally, the pretrained CNN models are readily available in the transfer learning workflow to develop AI for GC/MS data interpretation in fire debris analysis.

Temporal changes in biomarkers of neutrophil extracellular traps and NET-promoting autoantibodies following adenovirus-vectored, mRNA, and recombinant protein COVID-19 vaccination.

Neutrophil extracellular traps (NETs) play a role in innate pathogen defense and also trigger B-cell response by providing antigens. NETs have been linked to vaccine-induced thrombotic thrombocytopenia. We postulated a potential link between NET biomarkers, NET-promoting autoantibodies, and adverse events (AEs) after COVID-19 vaccine boosters. Healthy donors (HDs) who received ChAdOx1-S (A), mRNA-1273 (M), or recombinant protein (MVC-COV1901) vaccines at the National Taiwan University Hospital between 2021 and 2022 were recruited. We measured serial NET-associated biomarkers, citrullinated-histone3 (citH3), and myeloperoxidase (MPO)-DNA. Serum citH3 and MPO-DNA were significantly or numerically higher in HDs who reported AEs (n = 100, booster Day 0/Day 30, p = 0.01/p = 0.03 and p = 0.30/p = 0.35, respectively). We also observed a positive correlation between rash occurrence in online diaries and elevated citH3. A linear mixed model also revealed significantly higher citH3 levels in mRNA-1273/ChAdOx1-S recipients than MVC-COV1901 recipients. Significant positive correlations were observed between the ratios of anti-heparin platelet factor 4 and citH3 levels on Booster Day 0 and naïve and between the ratios of anti-NET IgM and citH3 on Booster Day 30/Day 0 in the AA-M and MM-M group, respectively. The increased levels of citH3/MPO-DNA accompanied by NET-promoting autoantibodies suggest a potential connection between mRNA-1273/ChAdOx1-S vaccines and cardiovascular complications. These findings provide insights for risk assessments of future vaccines.

The use of multicomponent reactions in the development of bis-boronic acids for the detection of ß-sialic acid.

Sialic acid (SA) is a naturally occurring monosaccharide found in glycoproteins and glycolipids. Changes in the expression of SA are associated with several diseases; thus, the detection of SA is of great significance for biological research, cancer diagnosis, and treatment. Boronic acid analogs have emerged as a promising tool for detecting sugars such as SA due to its reversible covalent bonding ability. In this study, 11 bis-boronic acid compounds and 2 mono-boronic acid compounds were synthesized via a highly efficient Ugi-4CR strategy. The synthesized compounds were subjected to affinity fluorescence binding experiments to evaluate their binding capability to SA. Compound A1 was shown to have a promising binding constant of 2602 ± 100 M-1 at pH = 6.0. Density Functional Theory (DFT) calculations examining the binding modes between A1 and SA indicated that the position of the boronic acid functional group was strongly correlated with its interaction with SA's α-hydroxy acid unit. The DFT calculations were consistent with the observations from the fluorescence experiments, demonstrating that the number and relative positions of the boronic acid functional groups are critical factors in enhancing the binding affinity to SA. DFT calculations of both S and R configuration of A1 indicated that the effect of the S/R configuration of A1 on its binding with ß-sialic acid was insignificant as the Ugi-4CR generated racemic products. A fluorine atom was incorporated into the R2 substituent of A1 as an electron-withdrawing group to produce A5, which possessed a significantly higher capability to bind to SA (Keq = 7015 ± 5 M-1 at pH = 6.0). Finally, A1 and A5 were shown to possess exceptional binding selectivity toward ß-sialic acid under pH of 6.0 and 6.5 while preferring to bind with glucose, fructose, and galactose under pH of 7.0 and 7.5.

A double fluorescence chimeric limb regeneration model reveals muscle fiber reconnection during axolotl limb regeneration / Modelo de regeneración quimérica de doble fluorescencia del miembro revela la reconexión de la fibra muscular durante la regeneración del miembro axolotl

SUMMARY: Axolotl limb regeneration is a fascinating characteristic that has attracted attention for several decades. Our previous studies on axolotl limb regeneration indicated that the satellite cells in the remnant muscles move distally into the blastema to regenerate new muscles that are separated by a gap from remnant muscles. Thereafter, the regenerative muscle fibers start to reconnect with remnant ones. In this study, the reconnection at the individual muscle fiber level was elucidated to test the hypothesis that this reconnection happens synchronously among involved muscles. Three pairs of EGFP+ mid-bud stage blastemas were transplanted onto freshly amputated stumps of RFP+ axolotls at the same thigh position to generate double fluorescence chimeric regenerative hindlimbs. These regenerative limbs were harvested very late far beyond they had reached the late differentiation stage. Fluorescence imaging of these limbs in cross sections revealed that in the proximal remnant part of the muscle fiber, reconnection occurred at a different pace among the muscles. In the major thigh muscle gracilis, the reconnection started from the periphery before it was completed. Furthermore, RFP+ muscle fibers contributed to muscle regeneration in the distal regenerative parts. Intriguingly, this red cell contribution was limited to ventral superficial muscles of the calf. This kind of double fluorescence chimeric limb regeneration model may help increase the understanding of the patterning of axolotl limb regeneration in late stages.

RESUMEN: La regeneración del miembro de Axolotl es una característica fascinante que ha llamado la atención durante varias décadas. Nuestros estudios previos sobre la regeneración del miembro del Axolotl indicaron que las células satélite en los músculos remanentes se mueven distalmente hacia el blastema para regenerar nuevos músculos que están separados por una brecha de músculos remanentes. A partir de entonces, las fibras musculares regenerativas comienzan a reconectarse con las restantes. En este estudio, se aclaró la reconexión a nivel de fibra muscular individual para probar la hipótesis de que esta reconexión ocurre sincrónicamente entre los músculos involucrados. Se trasplantaron tres pares de blastemas EGFP+ en la etapa de yema media en tocones recién amputados de axolotls RFP+ en la misma posición del muslo para generar miembros posteriores regenerativos quiméricos de fluorescencia doble. Estos miembros regenerativos se cosecharon muy tarde mucho más allá de haber alcanzado la etapa de diferenciación tardía. Las imágenes de fluorescencia de estos miembros en secciones transversales revelaron que en la parte remanente proximal de la fibra muscular, la reconexión se produjo a un ritmo diferente entre los músculos. En el músculo grácil, la reconexión comenzó desde la periferia antes de completarse. Además, las fibras musculares RFP+ contribuyeron a la regeneración muscular en las partes regenerativas distales. Curiosamente, esta contribución de glóbulos rojos se limitó a los músculos superficiales ventrales de la pantorrilla. Este tipo de modelo de regeneración quimérica de doble fluorescencia del miembro puede ayudar a aumentar la comprensión del patrón de la regeneración del miembro del Axolotl en etapas tardías.