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Graphical abstract Highlights • Principal component analysis and orthogonal partial least-squares discriminant analysis are used in this paper. • We found 7 pharmacodynamics biomarkers in plasma and 6 pharmacodynamics biomarkers in urine. • Amino acid metabolism pathway and tricarboxylic acid cycle metabolism pathway. • Biological network, canonical pathways and functions related to the Pharmacodynamic biomarkers. Abstract Moutan Cortex charcoal (MCC), the processed root bark of Paeonia suff ;ruticosa Andrews (Paeoniaceae), is a kind of traditional Chinese medicine (TCM) and has been used for treating blood-heat and hemorrhage(BHH)syndrome in China for thousands of years. In order to explore potential metabolic mechanism, 1H NMR-based metabonomics technique was applied to evaluate the effect of MCC on metabolic changes in plasma and urine of BHH rat models. Serum and urine samples were obtained from male SD rats with normal group, model group and MCC group for study. Based on 1H NMR spectra obtained from plasma and urine samples, principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) models were capable of distinguishing the three group. And the 13 pharmacodynamic biomarkers of MCC were identified in the plasma and urine. The results showed that BHH induced great metabolic disorders in plasma and urine metabolisms. However, MCC could reverse the imbalanced metabolites by alanine, aspartate and glutamate metabolism and citrate cycle (TCA cycle) pathway, and its effect was also confirmed by the general signs and pharmacodynamics assessments. The results indicated that NMR-based metabolomic profiling method is sensitive and specific enough to evaluate the MCC efficacy and mechanism of action on BHH syndromes. [ABSTRACT FROM AUTHOR]

Disentangling fire and its controls over thousands of years ago is a major challenge in the study of paleofires. In this paper, we synthesize sedimentary charcoal and black carbon from the coastal plain of Laizhou Bay, China to improve our ability to reconstruct fire history in the past 5000 years, and to assess the controls of fire using principal component analysis and multiple regression approach. The results show that there were three distinct fire episodes at the intervals of 5300–5100 yr BP., 1190–1060 yr BP., and 300–0 yr BP., based on the Changyi (CY) profile. A large-scale fire episode was synchronous with a rapid climate variability that occurred 5300 yr BP., which had frequent drought and cold epoch. High fluxes of black carbon and charcoal were closely related to mass migration and the use of fire for land reclamation from 1190 to 1060 yr BP. Subsequently, anthropogenic biomass burning for cereal cultivation has reached a higher level over the past 300 years. However, between 4600 and 4000 yr BP. the shifts in the frequency of high-magnitude floods and climate aridity consequently resulted in the decline of fire-episode frequency and the abandonment of the late Neolithic settlements in the study region. Therefore, climate is still a prerequisite factor for fire occurrence on the southern coast of Laizhou Bay in the past 5000 years. A rapid climate variability was not only responsible for various fire patterns, but also could affect human settlements and the mode of production during middle-late Holocene. In the past 1000 years, human land use has been a more important control of fire. However, temperature has become one of the evidently identified controls of fire across the study area in recent decades. To synthesize the methods of Principal Component Analysis and Multiple Regression Analysis with multi-proxy evidence is necessary for us to better understand fire and its controls on coastal plain of Laizhou Bay at the region. • Charcoal and BC have recorded fire mid-Holocene at the Laizhou Bay of China. • Climate was still a prerequisite control of fire at the Laizhou Bay mid-Holocene. • In the past 1000 years, human land use has been an important control of fire. • Temperature has become one of the identified controls of fire across the study area. • Principal component analysis will contribute to disentangling fire and its controls. [ABSTRACT FROM AUTHOR]