The suppression of Columnar π-Stacking in 3-Adamantyl-1-phenyl-1,4-dihydrobenzo[e][1,2,4]triazin-4-yl

3-Adamantyl-1-phenyl-1,4-dihydrobenzo[e][1,2,4]triazin-4-yl (4) crystallizes as chains of radicals where the spin bearing benzotriazinyl moieties are isolated from each other. Magnetic susceptibility studies in the 5–300 K temperature region indicate that radical 4 demonstrates typical paramagnetic behavior stemming from non-interacting S = ½ spins

Advancing the Understanding of Clinical Sepsis Using Gene Expression-Driven Machine Learning to Improve Patient Outcomes

Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of Machine Learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. The lack of a clear definition of sepsis is highlighted as a major hurdle, but ML models offer a workaround by focusing on endpoint prediction. We emphasize the significance of gene transcript information and its use in ML models to provide insights into sepsis pathophysiology and biomarker identification. Temporal analysis and integration of gene expression data further enhance the accuracy and predictive capabilities of ML models for sepsis. Although challenges such as interpretability and bias exist, ML research offers exciting prospects for addressing critical clinical problems, improving sepsis management, and advancing precision medicine approaches. Collaborative efforts between clinicians and data scientists are essential for the successful implementation and translation of ML models into clinical practice. ML has the potential to revolutionize our understanding of sepsis and significantly improve patient outcomes. Further research and collaboration between clinicians and data scientists are needed to fully understand the potential of ML in sepsis management

Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review

Sepsis continues to be recognized as a significant global health challenge across all ages and is characterized by a complex pathophysiology. In this scoping review, PRISMA-ScR guidelines were adhered to, and a transcriptomic methodology was adopted, with the protocol registered on the Open Science Framework. We hypothesized that gene expression analysis could provide a foundation for establishing a clinical research framework for sepsis. A comprehensive search of the PubMed database was conducted with a particular focus on original research and systematic reviews of transcriptomic sepsis studies published between 2012 and 2022. Both coding and non-coding gene expression studies have been included in this review. An effort was made to enhance the understanding of sepsis at the mRNA gene expression level by applying a systems biology approach through transcriptomic analysis. Seven crucial components related to sepsis research were addressed in this study: endotyping (n = 64), biomarker (n = 409), definition (n = 0), diagnosis (n = 1098), progression (n = 124), severity (n = 451), and benchmark (n = 62). These components were classified into two groups, with one focusing on Biomarkers and Endotypes and the other oriented towards clinical aspects. Our review of the selected studies revealed a compelling association between gene transcripts and clinical sepsis, reinforcing the proposed research framework. Nevertheless, challenges have arisen from the lack of consensus in the sepsis terminology employed in research studies and the absence of a comprehensive definition of sepsis. There is a gap in the alignment between the notion of sepsis as a clinical phenomenon and that of laboratory indicators. It is potentially responsible for the variable number of patients within each category. Ideally, future studies should incorporate a transcriptomic perspective. The integration of transcriptomic data with clinical endpoints holds significant potential for advancing sepsis research, facilitating a consensus-driven approach, and enabling the precision management of sepsis

From Blatter Radical to 7-Substituted 1,3 - Diphenyl-1,4 - Dihydrothiazolo [5′,4′:4,5] Benzo[1,2-e][1,2,4] Triazin-4-yls : Toward Multifunctional Materials

A Blatter radical is oxidized to benzotriazin-7(H)-one which after amination and subsequent acyl- and aroylation gives N-(benzotriazin-6-yl) carboxamides that undergo ring closure with P 2S 5 to afford the corresponding thiazolo[5′,4′:4,5]benzo[1,2-e][1,2,4]triazin-4- yls. These highly delocalized radicals are air stable and show good reversible electrochemical behavior. © 2012 American Chemical Societ

Effective exchange coupling in alternating-chains of a π-extended 1,2,4-benzotriazin-4-yl

Air stable 1,3,7-triphenyl-1,4-dihydrothiazolo[5′,4′:4,5]benzo[1,2-e][1,2,4]triazin-4-yl packs in 1D π stacks made of radical pairs with alternate short and long interplanar distances. The magnetic susceptibility exhibits a broad maximum at 73 ± 5 K and is interpreted in terms of an alternating antiferromagnetic Heisenberg linear chain model with an average exchange interaction of J = −43.8 cm−1 and an alternation parameter α = 0.3 (gsolid = 2.0028). The enhanced overlap between the π-extended SOMO orbitals leads to strong antiferromagnetic interactions along the chains (J1 = −87.6 cm−1 and J2 = −26.3 cm−1)

From Blatter Radical to 7‑Substituted 1,3-Diphenyl-1,4-dihydrothiazolo[5′,4′:4,5]benzo[1,2‑<i>e</i>][1,2,4]triazin-4-yls: Toward Multifunctional Materials

A Blatter radical is oxidized to benzotriazin-7(<i>H</i>)-one which after amination and subsequent acyl- and aroylation gives <i>N</i>-(benzotriazin-6-yl)carboxamides that undergo ring closure with P₂S₅ to afford the corresponding thiazolo[5′,4′:4,5]benzo[1,2-<i>e</i>][1,2,4]triazin-4-yls. These highly delocalized radicals are air stable and show good reversible electrochemical behavior

From Blatter Radical to 7‑Substituted 1,3-Diphenyl-1,4-dihydrothiazolo[5′,4′:4,5]benzo[1,2‑<i>e</i>][1,2,4]triazin-4-yls: Toward Multifunctional Materials

A Blatter radical is oxidized to benzotriazin-7(<i>H</i>)-one which after amination and subsequent acyl- and aroylation gives <i>N</i>-(benzotriazin-6-yl)carboxamides that undergo ring closure with P₂S₅ to afford the corresponding thiazolo[5′,4′:4,5]benzo[1,2-<i>e</i>][1,2,4]triazin-4-yls. These highly delocalized radicals are air stable and show good reversible electrochemical behavior

Synthesis and properties of imidazolo-fused benzotriazinyl radicals

1,3-Diphenylbenzo[e][1,2,4]triazin-7(1H)-one, the oxidation product of 1,3-diphenyl-1,4-dihydro-1,2,4-benzotriazin-4-yl (Blatter's radical), reacts with N′-arylbenzamidines in PhMe at ca. 100 °C in the presence of N,N-diisopropylethylamine (Hünig's base) (1 equiv.) to give N′-aryl-N-(1,7-dihydro-7-oxo-1,3-diphenylbenzo[e][1,2,4]triazin-6-yl)benzimidamides in 49–95% yield. In neat AcOH heated at ca. 120 °C, N′–aryl-N-(1,7-dihydro-7-oxo-1,3-diphenylbenzo[e][1,2,4]triazin-6-yl)benzimidamides cyclodehydrate to give the novel 8-substituted 1,3,7-triphenyl-4,8-dihydro-1H-imidazo[4,5-g][1,2,4]benzotriazin-4-yls in 13–81% yield. During the optimization of this cyclodehydration an additional oxazole fused benzotriazinyl radical 1,3,7-triphenyl-1,4-dihydro[1,3]oxazolo[4,5-g][1,2,4]benzotriazin-4-yl was isolated as a side product and characterized. The CV and EPR data of the imidazolo- and oxazolo-fused radicals are presented as well as single crystal X-ray structures of 1,3,7-triphenyl-1,4-dihydro-[1,3]oxazolo[4,5-g][1,2,4]benzotriazin-4-yl and 1,3,7,8-tetraphenyl-4,8-dihydro-1H-imidazo[4,5-g][1,2,4]benzotriazin-4-yl