Computer-Aided Synthesis Planning (CASP) and Machine Learning: Optimizing Chemical Reaction Conditions.

Computer-aided synthesis planning (CASP) has garnered increasing attention in light of recent advancements in machine learning models. While the focus is on reverse synthesis or forward outcome prediction, optimizing reaction conditions remains a significant challenge. For datasets with multiple variables, the choice of descriptors and models is pivotal. This selection dictates the effective extraction of conditional features and the achievement of higher prediction accuracy. This review delineates the origins of data in conditional optimization, the criteria for descriptor selection, the response models, and the metrics for outcome evaluation, aiming to acquaint readers with the latest research trends and facilitate more informed research in this domain.

Cascade Wolff Rearrangement/Acylation: A Metal-Free and Eco-Friendly Approach for 4-Hydroxy-pyrazolo[3,4-b]pyridin-6-ones and N-Pyrazole Amides Synthesis from 5-Aminopyrazoles and α-Diazoketones.

A highly chemoselective cascade Wolff rearrangement/acylation reaction between 5-aminopyrazoles and diazo compounds has been developed. The protocol can facilitate the switchable synthesis of 4-hydroxy-pyrazolo[3,4-b]pyridin-6-ones and N-pyrazole amides with the merits of a broad substrate scope, high functional group compatibility, and green and sustainable performance manner. All reactions proceeded efficiently without any catalyst and additives (acid and base) and resulted in the release of benign N2, wherein diethyl carbonate served as a green benign solvent.

Cytokines are early diagnostic biomarkers of graft-versus-host disease in liver recipients.

BACKGROUND: Graft-versus-host disease (GVHD) is associated with high mortality. Early diagnosis is essential to start treatment and to improve outcomes. Because of the inflammatory nature, we hypothesis that cytokine profile of patients with GVHD may serve as diagnostic markers. The present study was to evaluate the role of cytokine profile in the diagnosis of GVHD. METHODS: An immunoassay was used to detect 29 cytokines simultaneously in the serum; the measuring sensitivity of all cytokines was pg/mL. Healthy subjects undergoing annual routine physical examinations served as negative controls; 23 patients with hepatocellular carcinoma (HCC) who had undergone liver transplantation (the LT group) comprised the test subjects. A total of 22 kidney recipients with biopsy-confirmed GVHD (the RT group) were included for comparison. HCC patients with radical surgery (the HCC group, n=22) served as positive control. The liver contents of the three cytokines, IL-2, IL-18, and IFN-gamma, were detected with immunohistochemistry. Serum granzyme B and perforin were measured by flow cytometry. RESULTS: Of the 29 cytokines, the levels of IL-2 and IL-18 were increased significantly in liver recipients with GVHD compared with healthy controls (P<0.05). The serum levels of these three cytokines in the healthy, HCC, LT, and RT groups were IL-2: 0.90+/-0.02, 4.14+/-0.61, 5.10+/-0.89, and 1.48+/-0.09 pg/mL; IL-18: 80.61+/-9.35, 109.51+/-10.93, 230.11+/-12.92, and 61.98+/-7.88 pg/mL; IFN-gamma: 24.06+/-3.88, 24.84+/-3.21, 40.37+/-5.88, and 15.33+/-4.72 pg/mL, respectively. Immunohistochemistry showed that these 3 cytokines expressions in the liver were parallel to the serum cytokine. After standard anti-GVHD treatment, the expressions of IL-2, IL-18, and IFN-gamma were decreased in the liver (P<0.05). Serum granzyme B and perforin were significantly increased in GVHD patients (P<0.05). CONCLUSIONS: IL-2, IL-18 and IFN-gamma were from liver and might serve as biomarkers for monitoring GVHD development and the effects of anti-GVHD treatment. Granzyme B and perforin may play a role in increasing IL-2, IL-18, and IFN-gamma levels in GVHD patients.