Fluctuations in p53 Signaling Allow Escape from Cell-Cycle Arrest.

Biological signals need to be robust and filter small fluctuations yet maintain sensitivity to signals across a wide range of magnitudes. Here, we studied how fluctuations in DNA damage signaling relate to maintenance of long-term cell-cycle arrest. Using live-cell imaging, we quantified division profiles of individual human cells in the course of 1 week after irradiation. We found a subset of cells that initially establish cell-cycle arrest and then sporadically escape and divide. Using fluorescent reporters and mathematical modeling, we determined that fluctuations in the oscillatory pattern of the tumor suppressor p53 trigger a sharp switch between p21 and CDK2, leading to escape from arrest. Transient perturbation of p53 stability mimicked the noise in individual cells and was sufficient to trigger escape from arrest. Our results show that the self-reinforcing circuitry that mediates cell-cycle transitions can translate small fluctuations in p53 signaling into large phenotypic changes.

Multi-omics dissection of stage-specific artemisinin tolerance mechanisms in Kelch13-mutant Plasmodium falciparum.

AIMS: We investigated the stage-specific mechanisms of partial resistance to artemisinin (ART, an antimalarial drug) in Plasmodium falciparum (P. falciparum) carrying the Kelch13 C580Y mutation. METHODS: Using fluorescence labeling and activity-based protein profiling, we systematically profile the ART activation levels in P. falciparum during the entire intra-erythrocytic developmental cycle (IDC), and determined the ART-targets profile of the ART-sensitive and -resistant strains at different stages. We retrieved and integrated datasets of single-cell transcriptomics and label-free proteomics across three IDC stages of wild-type P. falciparum. We also employed lipidomics to validate lipid metabolic reprogramming in the resistant strain. RESULTS: The activation and expression patterns of genes and proteins of ART-targets in both ART-sensitive and resistant strains varied at different stages and periods of P. falciparum development, with the late trophozoite stage harboring the largest number of ART targets. We identified and validated 36 overlapping targets, such as GAPDH, EGF-1a, and SpdSyn, during the IDC stages in both strains. We revealed the ART-insensitivity of fatty acid-associated activities in the partially resistant strain at both the early ring and early trophozoite stages. CONCLUSIONS: Our multi-omics strategies provide novel insights into the mechanisms of ART partial resistance in Kelch13 mutant P. falciparum, demonstrating the stage-specific interaction between ART and malaria parasites.

Single-cell RNA sequencing deciphers the mechanism of sepsis-induced liver injury and the therapeutic effects of artesunate.

Liver, as an immune and detoxification organ, represents an important line of defense against bacteria and infection and a vulnerable organ that is easily injured during sepsis. Artesunate (ART) is an anti-malaria agent, that also exhibits broad pharmacological activities including anti-inflammatory, immune-regulation and liver protection. In this study, we investigated the cellular responses in liver to sepsis infection and ART hepatic-protective mechanisms against sepsis. Cecal ligation and puncture (CLP)-induced sepsis model was established in mice. The mice were administered ART (10 mg/kg, i.p.) at 4 h, and sacrificed at 12 h after the surgery. Liver samples were collected for preparing single-cell RNA transcriptome sequencing (scRNA-seq). The scRNA-seq analysis revealed that sepsis-induced a dramatic reduction of hepatic endothelial cells, especially the subtypes characterized with proliferation and differentiation. Macrophages were recruited during sepsis and released inflammatory cytokines (Tnf, Il1b, Il6), chemokines (Ccl6, Cd14), and transcription factor (Nfkb1), resulting in liver inflammatory responses. Massive apoptosis of lymphocytes and abnormal recruitment of neutrophils caused immune dysfunction. ART treatment significantly improved the survival of CLP mice within 96 h, and partially relieved or reversed the above-mentioned pathological features, mitigating the impact of sepsis on liver injury, inflammation, and dysfunction. This study provides comprehensive fundamental proof for the liver protective efficacy of ART against sepsis infection, which would potentially contribute to its clinical translation for sepsis therapy. Single cell transcriptome reveals the changes of various hepatocyte subtypes of CLP-induced liver injury and the potential pharmacological effects of artesunate on sepsis.

Translation and validation of a Chinese version of the pancreatitis quality of life instrument (PANQOLI) in patients with chronic pancreatitis.

PURPOSE: Chronic pancreatitis (CP) is a chronic fibroinflammatory pancreatic disease that severely impacts patients' quality of life (QoL). The Pancreatitis Quality of Life Instrument (PANQOLI) is an 18-item measure specifically designed to assess QoL amongst patients with CP. This study aimed to develop a Chinese version of PANQOLI and assess its reliability and validity in the Chinese CP cohort. METHODS: Translation was performed according to forward-backwards translation steps and transcultural adaptation. Five hundred Mandarin Chinese-speaking patients with CP were enrolled, 250 for the exploratory factor analysis (EFA) and 250 for the confirmatory factor analysis (CFA). Item analysis, reliability analysis (internal consistency, split-half reliability, test-retest reliability), and validity analysis (content validity, construct validity, and convergent validity) were performed. RESULTS: Item analysis of the Chinese version of PANQOLI revealed that the absolute t values of all items were > 3. Reliability analysis showed that Cronbach's α coefficient was 0.868, split-half coefficient was 0.934, and intraclass correlation coefficient was 0.859, demonstrating excellent reliability. For content validity, item level content validity index (I-CVI) ranged from 0.8 to 1.0, and average of I-CVI scores across all items (S-CVI/Ave) was 0.91. In construct validity analysis, EFA produced four dimensions after rotation, and results of CFA showed χ2/df = 2.346, comparative fit index (CFI) = 0.929, Tucker-Lewis index (TLI) = 0.915, and root-mean-square error of approximation (RMSEA) = 0.074. The analysis of convergent validity indicated that the Chinese version of PANQOLI was moderately correlated with the physical (r = 0.436, P < 0.001) and mental component summary (r = 0.518, P < 0.001) of the 36-Item Short Form Health Survey. CONCLUSION: The Chinese version of PANQOLI appears to be culturally appropriate, reliable, and valid for assessing the QoL amongst Chinese patients with CP.

Metabolic profile and potential mechanisms of Wendan decoction on coronary heart disease by ultra-high-performance quadrupole time of flight-mass spectrometry combined with network pharmacology analysis.

Wendan decoction, a well-known classical traditional Chinese medicine prescription, has been widely used in the clinical application of coronary heart disease for thousands of years. However, due to a lack of research on the overall metabolism of Wendan decoction, the bioavailable components responsible for the therapeutic effects remain unclear, hindering the revelation of its mechanisms against coronary heart disease. Consequently, an efficient joint research pattern combined with characterization of the metabolic profile and network pharmacology analysis was proposed. As a result, a total of 172 Wendan decoction-related xenobiotics (57 prototypes and 115 metabolites) were detected based on the exploration of the typical metabolic pathways of representative pure compounds in vivo, describing their multi-component metabolic characteristics comprehensively. Subsequently, an integrated network of "herbs-bioavailable compounds-coronary heart disease targets-pathways-therapeutic effects" was constructed, and its seven compounds were finally screened out as the key components acting on five main targets of coronary heart disease. Overall, this work not only provided a crucial biological foundation for interpreting the effective components and action mechanisms of Wendan decoction on coronary heart disease but also showed a reference value for revealing the bioactive components of traditional Chinese medicine prescriptions.

Status quo of the public's knowledge of probiotics based on video-sharing platforms.

BACKGROUND: Probiotics have been deemed multipotent and unprecedentedly applied in the health field recently. However, there are challenges in promoting credible and reliable resources while avoiding misinformation regarding probiotics for the public. METHODS: This study analysed 400 eligible probiotic-related videos selected from YouTube, and the three most popular video-sharing platforms (Bilibili, Weibo and TikTok) in China. Video retrieval was performed on September 5th, 2022. GQS and tailored DISCERN tool assess each video's quality, usage, and reliability. A comparative analysis of videos from different sources was carried out. RESULTS: The identity distribution of probiotic video-producers was predominantly experts (n = 202, 50.50%), followed by amateurs (n = 161, 40.25%) and health-related institutions (n = 37, 9.25%). The videos' content category mainly discussed the function of probiotics (n = 120, 30%), the way to choose suitable products (n = 81, 20.25%), and the methods for taking probiotics (n = 71, 17.75%).The overall quality of videos was moderate (3/5 point) assessed by GQS, while the usage (1/6 point) and reliability (2/5 point) detailing probiotics assessed by tailored DISCERN tool were poor. The attitude of probiotic video-producers was primarily positive (n = 323, 80.75%), followed by neutral (n = 52, 13.00%) and negative (n = 25, 6.25%) (P < 0.001). CONCLUSIONS: The current study showed that videos on social media platforms publicise important information including the concepts, usage, and precautions of probiotics to the public. But the overall quality of uploaded videos about probiotics was unsatisfactory. More efforts are needed to improve the higher-quality content of probiotic-related online videos and better propagate probiotic knowledge to the public in the future.

Effects of Escherichia pollution and salinity on nutrient levels in submerged vegetated wetlands: Insights into benthic community stability and metabolisms.

Inner coastal wetland ecosystems are generally eutrophic and are often exposed to both salinity stress and Escherichia coli pollution. However, the effects of these stressors on nutrient-cycling and microbial communities are under-researched. Here, we established a vegetated wetland ecosystem in a saline environment to understand the effects of E. coli pollution on nutrient removal and benthic microorganisms. The results show that E. coli significantly inhibited nutrient removal, especially total nitrogen (TN) and ammonium (78.89-84.98 and 3.45-44.65% were removed from the non-E. coli-treated and the E. coli-treated water, respectively). Compared with non-vegetated systems, archaeal community variations at both compositional and phylogenetic levels were weakened in vegetated systems (p < 0.05). Among all the environmental factors, the ratios of PO43--P to total phosphorus and NO3--N to TN contributed the most to archaeal and bacterial community structural variations, respectively. E. coli pollution affected archaeal community succession more than bacteria (p < 0.05). E. coli also weakened the trophic transferring efficiencies between Cyanobacteria and Myxobacteria (p < 0.05). Metabolically, E. coli inhibited bacterial genetic metabolic pathways but made human infection more likely (p < 0.05). Our findings provide new insights into aquatic ecological conservation and environmental management.

MS-IDF: A Software Tool for Nontargeted Identification of Endogenous Metabolites after Chemical Isotope Labeling Based on a Narrow Mass Defect Filter.

Chemical isotope labeling liquid chromatography mass spectrometry (LC-MS) is an emerging metabolomic strategy for the quantification and characterization of small molecular compounds in biological samples. However, its subsequent data analysis is not straightforward due to a large amount of data produced and interference of biological matrices. In order to improve the efficiency of searching and identification of target endogenous metabolites, a new software tool for nontargeted metabolomics data processing called MS-IDF was developed based on the principle of a narrow mass defect filter. The developed tool provided two function modules, including IsoFinder and MDFinder. The IsoFinder function module applied a conventional peak extraction method by using a fixed mass differences between the heavy and light labels and by the alignment of chromatographic retention time (RT). On the other hand, MDFinder was designed to incorporate the accurate mass defect differences between or among stable isotopes in the peak extraction process. By setting an appropriate filter interval, the target metabolites can be efficiently screened out while eliminating interference. Notably, the present results showed that the efficiency in compound identification using the new MDFinder module was nearly doubled as compared to the conventional IsoFinder method (an increase from 259 to 423 compounds). The Matlab codes of the developed MS-IDF software are available from github at https://github.com/jydong2018/MS_IDF. Based on the MS-IDF software tool, a novel and effective approach from nontargeted to targeted metabolomics research was developed and applied to the exploration of potential primary amine biomarkers in patients with schizophrenia. With this approach, potential biomarkers, including N,N-dimethylglycine, S-adenosine-l-methionine, dl-homocysteine, and spermidine, were discovered.

Early virologic relapse predicts alanine aminotransferase flares after nucleos(t)ide analogue withdrawal in patients with chronic hepatitis B.

When patients with chronic hepatitis B (CHB) stop nucleos(t)ide analogue (NA) therapy before achieving HBsAg loss, flares often ensue which are challenging to predict early. We determined the incidence, severity, outcome and predictors of flares after NA withdrawal. Forty-five patients enrolled in an RCT were included; 107 patients from an external, prospective cohort were used for validation. Retreatment criteria were pre-defined. Pre- and post-treatment predictors of alanine aminotransferase (ALT) flare (>5× ULN) were evaluated by Cox proportional-hazards regression. Seventy-two weeks after NA withdrawal, 23/45 (51%) patients had developed >5× ULN and 14 (31%) >20× ULN. Median time to develop ALT >5× ULN was 12 weeks after NA withdrawal. Independent predictors of ALT >5× ULN were male sex (HR [95% CI] 3.2 [1.2-8.9]; p = 0.03) and serum HBV DNA (1.2 [1.0-1.8]; p = 0.03) at Week 6 off-therapy. Specifically, week 6 HBV DNA >10,000 IU/ml predicted ALT >5× ULN (3.4 [1.4-8.4]; p = 0.01), which was externally validated. In conclusion, this study on post-treatment flares revealed a high cumulative incidence in CHB. Week 6 HBV DNA >10,000 IU/ml independently predicted flares. The proposed threshold enables prediction of imminent flares in patients who may benefit from closer monitoring and earlier retreatment.

Development of artesunate intelligent prodrug liposomes based on mitochondrial targeting strategy.

Breast cancer is the leading cause of cancer-related deaths in women and remains a formidable therapeutic challenge. Mitochondria participate in a myriad of essential cellular processes, such as metabolism, and are becoming an ideal target for cancer therapy. Artemisinin and its derivatives have demonstrated multiple activities in the context of various cancers. Mitochondrial autophagy(mitophagy) is one of the important anti-tumor mechanisms of artemisinin drugs. However, the lack of specific tumor targeting ability limits the anti-tumor efficacy of artemisinin drugs. In this study, a GSH-sensitive artesunate smart conjugate (TPP-SS-ATS) was synthesized and liposomes (TPP-SS-ATS-LS) that target tumor cells and mitochondria were further prepared. The advantages of TPP-SS-ATS-LS targeting to the breast tumor were verified by in vivo and in vitro evaluations. In our study, the cytotoxicity was obviously enhanced in vitro and tumor growth inhibition rate was increased from 37.7% to 56.4% at equivalent artesunate dosage in breast cancer orthotopic implanted mice. Meanwhile, mitochondrial dysfunction, suppression of ATP production and respiratory capacity were detected in breast cancer cells. We further discovered that TPP-SS-ATS-LS inhibited tumor cells proliferation through mitophagy by regulating PHB2 and PINK1 expression. These results provide new research strategies for the development of new artemisinin-based anti-tumor drugs.

Dosage of Dyrk1a shifts cells within a p21-cyclin D1 signaling map to control the decision to enter the cell cycle.

Mammalian cells have a remarkable capacity to compensate for heterozygous gene loss or extra gene copies. One exception is Down syndrome (DS), where a third copy of chromosome 21 mediates neurogenesis defects and lowers the frequency of solid tumors. Here we combine live-cell imaging and single-cell analysis to show that increased dosage of chromosome 21-localized Dyrk1a steeply increases G1 cell cycle duration through direct phosphorylation and degradation of cyclin D1 (CycD1). DS-derived fibroblasts showed analogous cell cycle changes that were reversed by Dyrk1a inhibition. Furthermore, reducing Dyrk1a activity increased CycD1 expression to force a bifurcation, with one subpopulation of cells accelerating proliferation and the other arresting proliferation by costabilizing CycD1 and the CDK inhibitor p21. Thus, dosage of Dyrk1a repositions cells within a p21-CycD1 signaling map, directing each cell to either proliferate or to follow two distinct cell cycle exit pathways characterized by high or low CycD1 and p21 levels.

Treatment planning of volumetric modulated arc therapy and positioning optimization for hippocampal-avoidance prophylactic cranial irradiation.

BACKGROUND: Hippocampal-avoidance prophylactic cranial irradiation (HA-PCI) offers potential neurocognitive benefits but raises technical challenges to treatment planning. This study aims to improve the conventional planning method using volumetric modulated arc therapy (VMAT) technique and investigate a better patient's head positioning to achieve a high quality of HA-PCI treatment plans. METHODS: The improved planning method set a wide expansion of hippocampus as a special region for dose decline. The whole brain target was divided into two parts according to whether the slice included hippocampus and their optimization objectives were set separately. Four coplanar full arcs with partial field sizes were employed to deliver radiation dose to different parts of the target. The collimator angle for all arcs was 90°. Tilting patient's head was achieved by rotating CT images. The improved planning method and tilted head positioning were verified using datasets from 16 patients previously treated with HA-PCI using helical tomotherapy (HT). RESULTS: For the improved VMAT plans, the max and mean doses to hippocampus were 7.88 Gy and 6.32 Gy, respectively, significantly lower than those for the conventional VMAT plans (P < 0.001). Meanwhile, the improved planning method significantly improved the plan quality. Compared to the HT plans, the improved VMAT plans result in similar mean dose to hippocampus (P > 0.1) but lower max dose (P < 0.02). Besides, the target coverage was the highest for the improved VMAT plans. The tilted head positioning further reduced the max and mean doses to hippocampus (P < 0.05), significantly decreased the max dose to lens (P < 0.001) and resulted in higher plan quality as compared to nontilted head positioning. CONCLUSIONS: The improved planning method enables the VMAT plans to meet the clinical requirements of HA-PCI treatment with high plan quality and convenience. The tilted head positioning provides superior dosimetric advantages over the nontilted head positioning, which is recommended for clinical application.

Comparison of two inverse planning algorithms for cervical cancer brachytherapy.

PURPOSE: To compare two inverse planning algorithms, the hybrid inverse planning optimization (HIPO) algorithm and the inverse planning simulated annealing (IPSA) algorithm, for cervical cancer brachytherapy and provide suggestions for their usage. MATERIAL AND METHODS: This study consisted of 24 cervical cancer patients treated with CT image-based high-dose-rate brachytherapy using various combinations of tandem/ovoid applicator and interstitial needles. For fixed catheter configurations, plans were retrospectively optimized with two methods: IPSA and HIPO. The dosimetric parameters with respect to target coverage, localization of high dose volume (LHDV), conformal index (COIN), and sparing of organs at risk (OARs) were evaluated. A plan assessment method which combines a graphical analysis and a scoring index was used to compare the quality of two plans for each case. The characteristics of dwell time distributions of the two plans were also analyzed in detail. RESULTS: Both IPSA and HIPO can produce clinically acceptable treatment plans. The rectum D2cc was slightly lower for HIPO as compared to IPSA (P = 0.002). All other dosimetric parameters for targets and OARs were not significantly different between the two algorithms. The generated radar plots and scores intuitively presented the plan properties and enabled to reflect the clinical priorities for the treatment plans. Significant different characteristics were observed between the dwell time distributions generated by IPSA and HIPO. CONCLUSIONS: Both algorithms could generate high-quality treatment plans, but their performances were slightly different in terms of each specific patient. The clinical decision on the optimal plan for each patient can be made quickly and consistently with the help of the plan assessment method. Besides, the characteristics of dwell time distribution were suggested to be taken into account during plan selection. Compared to IPSA, the dwell time distributions generated by HIPO may be closer to clinical preference.

Multi-Omics Perspective Reveals the Different Patterns of Tumor Immune Microenvironment Based on Programmed Death Ligand 1 (PD-L1) Expression and Predictor of Responses to Immune Checkpoint Blockade across Pan-Cancer.

Immune checkpoint inhibitor (ICI) therapies have shown great promise in cancer treatment. However, the intra-heterogeneity is a major barrier to reasonably classifying the potential benefited patients. Comprehensive heterogeneity analysis is needed to solve these clinical issues. In this study, the samples from pan-cancer and independent breast cancer datasets were divided into four tumor immune microenvironment (TIME) subtypes based on tumor programmed death ligand 1 (PD-L1) expression level and tumor-infiltrating lymphocyte (TIL) state. As the combination of the TIL Z score and PD-L1 expression showed superior prediction of response to ICI in multiple data sets compared to other methods, we used the TIL Z score and PD-L1 to classify samples. Therefore, samples were divided by combined TIL Z score and PD-L1 to identify four TIME subtypes, including type I (3.24%), type II (43.24%), type III (6.76%), and type IV (46.76%). Type I was associated with favorable prognosis with more T and DC cells, while type III had the poorest condition and composed a higher level of activated mast cells. Furthermore, TIME subtypes exhibited a distinct genetic and transcriptional feature: type III was observed to have the highest mutation rate (77.92%), while co-mutations patterns were characteristic in type I, and the PD-L1 positive subgroup showed higher carbohydrates, lipids, and xenobiotics metabolism compared to others. Overall, we developed a robust method to classify TIME and analyze the divergence of prognosis, immune cell composition, genomics, and transcriptomics patterns among TIME subtypes, which potentially provides insight for classification of TIME and a referrable theoretical basis for the screening benefited groups in the ICI immunotherapy.

[ω-3 Fatty acids intake level of vegetarians in Shanghai].

OBJECTIVE: To assess the ω-3 fatty acids intake level of vegetarians in Shanghai, and compare with the sex and age matched omnivores. METHODS: The present observational study included 282 vegetarians aged 18 to 60 years old who had been vegetarian for at least one year and 282 sex and age matched omnivores recruited among Shanghai citizens. Daily food consumption was assessed through frequency and average intake of 149 kinds of food by food frequency questionnaire(FFQ) conducted by experienced dietitians. Dietary intake of ALA, EPA and DHA was calculated by R(Software). The differences of ω-3 fatty acids dietary intake between vegetarians and omnivores were analyzed with non-parametric test. RESULTS: The ALA intake of vegetarian group was(1669.00±1340.67)mg/d, which was significantly higher than that of omnivore group((1298.56±1041.96)mg/d). However, the EPA intake of vegetarian group((8.45±12.69)mg/d) was significantly less than the omnivore group((128.63±144.15)mg/d). The DHA intake of vegetarian group((28.75±35.38)mg/d) was also significantly less than the omnivore group((236.88±223.05)mg/d). Most of the dietary intake of EPA and DHA was supplied by seafood. CONCLUSION: Vegetarians EPA and DHA intake was significantly lower than omnivores.

Fully unsupervised symmetry-based mitosis detection in time-lapse cell microscopy.

MOTIVATION: Cell microscopy datasets have great diversity due to variability in cell types, imaging techniques and protocols. Existing methods are either tailored to specific datasets or are based on supervised learning, which requires comprehensive manual annotations. Using the latter approach, however, poses a significant difficulty due to the imbalance between the number of mitotic cells with respect to the entire cell population in a time-lapse microscopy sequence. RESULTS: We present a fully unsupervised framework for both mitosis detection and mother-daughters association in fluorescence microscopy data. The proposed method accommodates the difficulty of the different cell appearances and dynamics. Addressing symmetric cell divisions, a key concept is utilizing daughters' similarity. Association is accomplished by defining cell neighborhood via a stochastic version of the Delaunay triangulation and optimization by dynamic programing. Our framework presents promising detection results for a variety of fluorescence microscopy datasets of different sources, including 2D and 3D sequences from the Cell Tracking Challenge. AVAILABILITY AND IMPLEMENTATION: Code is available in github (github.com/topazgl/mitodix). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system for screening hypoglycemic efficacy constituents of Xiaokewan has been developed with the integration of intelligent data acquisition, data mining, network pharmacology, and computer assisted target fishing. With the combination of background exclusion data dependent acquisition (BE-DDA) and non-targeted precise-and-thorough background-subtraction (PATBS) techniques, a novel workflow has been established for the non-targeted recognition and identification of TCM constituents in vivo, and has been applied to the exposure study of Xiaokewan in rat. In this case, an interesting correlation among drug, target, and disease can be established, by combining the screening or characterization results with the strategy of network pharmacology and multiple computer assisted techniques. Consequently, five main constituents (puerarin, daidzein, formononetin, deoxyschizandrin and glibenclamide) exposed in vivo have been selected as effective hypoglycemic components. Meanwhile, the network pharmacology experimental results showed that these five constituents could act on various drug targets, such as PI3K, PTP1B, MAPK, AKT, TNF, and NF-κB. These five constituents might be involved in the regulation of ß-cell function or exhibit inflammation inhibition ability to relieve the pathophysiological process of disease from multiple links. Furthermore, the pharmacological effects of these five constituents have been verified by diabetic zebrafish model. The zebrafish model results showed that the TCM monomer mixture without glibenclamide exhibited similar hypoglycemic activity with Xiaokewan. Although the monomer mixture with glibenclamide showed better activity than Xiaokewan only, the deoxyschizandrin (TCM constituent of Xiaokewan) exhibited best hypoglycemic performance. In summary, the above results indicated that the application of both intelligent recognition technology in mass spectrometry dataset and computerized network pharmacology might provide a pioneering approach for investigating the substance basis of TCM and searching lead compounds from natural sources.

A two-dimensional ERK-AKT signaling code for an NGF-triggered cell-fate decision.

Growth factors activate Ras, PI3K, and other signaling pathways. It is not well understood how these signals are translated by individual cells into a decision to proliferate or differentiate. Here, using single-cell image analysis of nerve growth factor (NGF)-stimulated PC12 cells, we identified a two-dimensional phospho-ERK (pERK)-phospho-AKT (pAKT) response map with a curved boundary that separates differentiating from proliferating cells. The boundary position remained invariant when different stimuli were used or upstream signaling components perturbed. We further identified Rasa2 as a negative feedback regulator that links PI3K to Ras, placing the stochastically distributed pERK-pAKT signals close to the decision boundary. This allows for uniform NGF stimuli to create a subpopulation of cells that differentiates with each cycle of proliferation. Thus, by linking a complex signaling system to a simpler intermediate response map, cells gain unique integration and control capabilities to balance cell number expansion with differentiation.

Simultaneous determination of VD2, VD3, 25(OH) D2, and 25(OH) D3 in human plasma using electrospray LC-MS/MS as well as its application to evaluate VD plasma levels in depressive, schizophrenic patients and healthy individuals.

Vitamin D measurements in biological fluids by liquid chromatography-tandem mass spectrometry (LC-MS/MS) have been widely used but remain challenging at very low concentration levels. Rapid, high recovery, sensitive and reliable measurements of vitamin D, as well as its primary metabolites using LC-MS/MS are urgently needed for a routine clinical laboratory. Herein, we reported a novel electrospray LC-MS/MS method for determining vitamin D and its primary metabolites using the supported liquid extraction method to achieve higher recoveries, with optimized pH values to achieve optimal derivatization efficiency for higher sensitivity and selected chromatographic conditions to shorten the separation time. The method has been validated with respect to selectivity, recovery, matrix effects, accuracy and precision, stabilities, carryover and dilution effects. The method has been successfully applied to quantify the VD plasma concentrations of depressive, schizophrenic patients and healthy individuals. The result showed that there were significant differences in plasma VD levels between mental disorder patients with healthy individuals, and the total VD levels in mental disorder patients were much higher than healthy individuals, which might require larger clinical samples for validation.