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Background: Severity prediction is difficult early in the course of acute pancreatitis. Markers of pancreatic injury, or inflammatory activation are candidate markers of severity. The aim of the present study was to assess predictive abilities of carboxypeptidase-B activation peptide (CAPAP-B) and solublel-selectin (sL-selectin) using samples collected on admission to hospital. Methods: Patients with acute pancreatitis and disease (acute abdomen) and normal controls were studied. Samples were collected at admission and daily for 5 days. There were significant differences between mild and severe pancreatitis in urinary and plasma CAPAP-B on admission, C-reactive protein on day 3 and acute physiology and chronic health evaluation (APACHE)-II scores. Prediction of severity with CAPAP-B on admission was as good as with APACHE-II score after 48 h. Carboxypeptidase-B activation peptide was not raised in disease controls. By contrast, sL-selectin was lowered in all cases of acute pancreatitis, and in disease controls. There was no difference between mild and severe pancreatitis. Conclusion: Urinary CAPAP-B, a marker of acinar injury, can be used to predict severity of acute pancreatitis at the time of admission to hospital, but sL-selectin has no value in this regard. The extent of acinar injury may be a more important early marker of severity than markers of inflammatory activation. [ABSTRACT FROM AUTHOR]

Background and Purpose: Traditional Chinese Medicine (TCM) is widely practised and is viewed as an attractive alternative to conventional medicine. Quantitative information about TCM prescriptions, constituent herbs and herbal ingredients is necessary for studying and exploring TCM.Experimental Approach: We manually collected information on TCM in books and other printed sources in Medline. The Traditional Chinese Medicine Information Database TCM-ID, at http://tcm.cz3.nus.edu.sg/group/tcm-id/tcmid.asp, was introduced for providing comprehensive information about all aspects of TCM including prescriptions, constituent herbs, herbal ingredients, molecular structure and functional properties of active ingredients, therapeutic and side effects, clinical indication and application and related matters.Results: TCM-ID currently contains information for 1,588 prescriptions, 1,313 herbs, 5,669 herbal ingredients, and the 3D structure of 3,725 herbal ingredients. The value of the data in TCM-ID was illustrated by using some of the data for an in-silico study of molecular mechanism of the therapeutic effects of herbal ingredients and for developing a computer program to validate TCM multi-herb preparations.Conclusions and Implications: The development of systems biology has led to a new design principle for therapeutic intervention strategy, the concept of 'magic shrapnel' (rather than the 'magic bullet'), involving many drugs against multiple targets, administered in a single treatment. TCM offers an extensive source of examples of this concept in which several active ingredients in one prescription are aimed at numerous targets and work together to provide therapeutic benefit. The database and its mining applications described here represent early efforts toward exploring TCM for new theories in drug discovery. [ABSTRACT FROM AUTHOR]

Biomarkers which better match anticancer drugs with cancer driver genes hold the promise of improved clinical responses and cure rates. We developed a precision medicine platform of rapid high-throughput drug screening (HTS) and patient-derived xenografting (PDX) of primary tumor tissue, and evaluated its potential for treatment identification among 56 consecutively enrolled high-risk pediatric cancer patients, compared with conventional molecular genomics and transcriptomics. Drug hits were seen in the majority of HTS and PDX screens, which identified therapeutic options for 10 patients for whom no targetable molecular lesions could be found. Screens also provided orthogonal proof of drug efficacy suggested by molecular analyses and negative results for some molecular findings. We identified treatment options across the whole testing platform for 70% of patients. Only molecular therapeutic recommendations were provided to treating oncologists and led to a change in therapy in 53% of patients, of whom 29% had clinical benefit. These data indicate that in vitro and in vivo drug screening of tumor cells could increase therapeutic options and improve clinical outcomes for high-risk pediatric cancer patients., (© 2021 The Authors. Published under the terms of the CC BY 4.0 license.)