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The depth of hypoxia (DOH) is the shallowest depth at which the waters become hypoxic (oxygen concentration < 60 μmol kg -1 ), is a crucial indicator of the formation and expansion of oxygen minimum zones (OMZs). In this study, a nonlinear polynomial regression inversion model was developed to estimate the DOH in the California Current System (CCS), based on the dissolved oxygen profile detected by the Biogeochemical-Argo (BGC-Argo) float and remote sensing data. Satellite-derived net community production was used in the algorithm development, to denote the combined effect of phytoplankton photosynthesis and O 2 consumption. Our model performs well, with a coefficient of determination of 0.82 and a root mean square error of 37.69 m (n = 80) from November 2012 to August 2016. Then, it was used to reconstruct the variation in satellite-derived DOH in the CCS from 2003 to 2020, and three stages of the DOH variation trend were identified. From 2003 to 2013, the DOH showed a significant shallowing trend due to the intense subsurface O 2 consumption caused by strong phytoplankton production in the CCS coastal region. The trend was interrupted by two successive strong climate oscillation events from 2014 to 2016, which led to a significant deepening of the DOH and a slowing, or even reversal, of the variations in other environmental parameters. After 2017, the effects of climate oscillation events gradually disappeared, and the shallowing pattern in the DOH recovered slightly. However, by 2020, the DOH had not returned to the pre-2014 shallowing characteristic, which would lead to continuing complex ecosystem responses in the context of global warming. Based on the satellite inversion model of DOH in the CCS, we provide a new insight on the high-resolution spatiotemporal OMZ variations during an 18-year period in the CCS, which will aid in the evaluation and prediction of local ecosystems variation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)

Unlabelled: The pandemic influenza A virus (H1N1) was transmitted to the human population since 2009, resulting in some consequences of viral pneumonia, respiratory failure, multiple organ failure and, most severely, death. In clinical practice, Chinese medicine possessed extensive experience for prevention and treatment of influenza, but its mechanism still remain unclear. In addition, the efficacy of combination therapy of Chinese and Western medicine was attractive, but not yet clear. In the present study, 131 patients from Guangzhou China referred for H1N1 virus mRNA testing for the evaluation of possible influenza A-infected were eligible for participation. A metabonomics study was carried out to explore the difference between before and after treatment in patients with H1N1 through Chinese and/or Western medicine. Results from metabolic profiling and biochemical detection indicated significant metabolic change in the arachidonic acid metabolic pathway. In the group of combination therapy of Chinese and western medicine, its efficacy was best and the potential biomarkers were significantly changed compared with untreated state. Those results indicated that the potential metabolic biomarker could be supplemented with biochemical detection to obtain more precise diagnosis for H1N1 infection., Clinical Trials Registration: Clinical Trials. Gov No. 2008GL-50., (Copyright © 2012 Elsevier B.V. All rights reserved.)

An on-line comprehensive two-dimensional liquid chromatography (HPLC×UPLC-TOF MS) was set up just using the injection valve of the ultra performance liquid chromatography (UPLC) as the interface through which the effluent of high performance liquid chromatography (HPLC) was injected automatically to UPLC coupled to time-of-flight mass spectrometry (TOF MS). As a demonstrative application, a complex sample of Traditional Chinese Medicine, Qingkailing was analyzed. As a result, a four-dimensional (4D) data containing 2D retention times, peak intensity and m/z ratios was plotted, where 398 peaks were counted and low concentration components were distinguished from the high concentration ones with a total peak capacity of 1090. Comparing with traditional 3D data acquired by HPLC×HPLC, the 4D data generated by HPLC×UPLC-TOF MS can increase the number of recognized components by three times, reduce the analysis time by 75%. Such a configuration of HPLC×UPLC-TOF MS can realize easily upon commercial chromatographs while exhibited enhanced separation efficiency, high sensitivity, huge peak capacity and great potential in complex sample analysis., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Cerebral infarction is always of sudden onset, and usually leading to serious consequence. It is of therapeutic significance to develop fast and accurate diagnosis methods for cerebral infarction so that patients can be treated timely and properly. A metabonomic approach was then proposed to investigate the potential biomarkers and metabolic pathways associated with cerebral infarction and also establish a prediction model of cerebral infarction for the fast diagnosis. Serum metabolic profiling of sixty-seven cerebral infarction patients and sixty-two controls was obtained using UPLC-TOF MS. The resulting data were then processed by multivariate statistical analysis to graphically demonstrate metabolic variations. The PLS-DA model was validated with cross validation and permutation tests to assure the model's reliability, and significant difference was obtained between the original and hypothetical models (p<0.0001). A series of endogenous metabolites in the one-carbon cycle, such as folic acid, cysteine, S-adenosyl homocysteine and oxidized glutathione, were determined as potential biomarkers of cerebral infarction. A prediction model developed using PLS-KNN algorithm was established to differentiate cerebral infarction patients from controls, and an average accuracy of 100% was obtained. In conclusion, metabonomic approach is a powerful tool to investigate the pathogenesis of stroke and is expected to be developed as a useful method for the fast diagnosis., (Copyright © 2011 Elsevier B.V. All rights reserved.)

It was reported that Hcy was related to the development of kidney disease, but it remains unknown whether Hcy is an independent biomarker for diabetic nephropathy. Analytical method for simultaneous determination of aminothiols among the Hcy metabolic cycle is desirable to discover other potential biomarkers. A high-performance liquid chromatography-electrospray tandem mass spectrometric (HPLC-ESI-MS/MS) method was established for simultaneous quantitation of Cysteine (Cys), total homocysteine (tHcy), S-adenosylmethionine (SAM), S-adenosylhomocysteine (SAH), cystathionine (Cysta), methionine (Met), glutathione (GSH) and cysteinylglycine (Cys-gly) in plasma with N-(2-mercaptopropionyl)-glycine (MPG) as internal standard. The method had simple pretreatment without derivatization and the chromatograms show better separation of the eight aminothiols and the analytic time was 20 min. The results demonstrated that it provided an excellent linearity for all analytes over their respective concentration ranges and illustrated excellent precision and plasma recovery as well. Then, the method was applied in the case-control study of patients with diabetes mellitus (DM) and diabetic nephropathy (DN). In conclusion, it is an effective method to quantitate the concentrations of aminothiols in the human plasma. SAH and SAM were suggested as better potential biomarkers of DM and DN.