Steatotic hepatocyte-derived extracellular vesicles promote ß-cell apoptosis and diabetes via microRNA-126a-3p.

Extracellular vesicles (EVs) have emerged as a unique mediator of interorgan communications, playing important roles in the pathophysiologic process of various diseases, including diabetes and other metabolic diseases. Here, we reported that the EVs released by steatotic hepatocytes exerted a detrimental effect on pancreatic ß cells, leading to ß-cell apoptosis and dysfunction. The effect was profoundly attributable to an up-regulation of miR-126a-3p in the steatotic hepatocyte-derived EVs. Accordingly, overexpression of miR-126a-3p promoted, whereas inhibition of miR-126a-3p prevented ß-cell apoptosis, through a mechanism related to its target gene, insulin receptor substrate-2. Moreover, inhibition of miR-126a-3p by its specific antagomir was able to partially reverse the loss of ß-cell mass and ameliorate hyperglycaemia in diabetic mice. Thus, the findings reveal a novel pathogenic role of steatotic hepatocyte-derived EVs, which mechanistically links nonalcoholic fatty liver disease to the development of diabetes.

Are New Phthalate Ester Substitutes Safer than Traditional DBP and DiBP? Comparative Endocrine-Disrupting Analyses on Zebrafish Using In Vivo, Transcriptome, and In Silico Approaches.

Although previous studies have confirmed the association between phthalate esters (PAEs) exposure and endocrine disorders in humans, few studies to date have systematically assessed the threats of new PAE alternatives to endocrine disruptions. Herein, zebrafish embryos were continuously exposed to two PAEs [di-n-butyl phthalate (DBP) and diisobutyl phthalate (DiBP)], two structurally related alternatives [diiononyl phthalate (DINP) and diisononyl hexahydrophthalate (DINCH)], and two non-PAE substitutes [dipropylene glycol dibenzoate (DGD) and glyceryl triacetate (GTA)], and the endocrine-disrupting effects were investigated during the early stages (8-48 hpf). For five endogenous hormones, including progesterone, testosterone, 17ß-estradiol, triiodothyronine (T3), and cortisol, the tested chemicals disturbed the contents of at least one hormone at environmentally relevant concentrations (≤3.9 µM), except DINCH and GTA. Then, the concentration-dependent reduced zebrafish transcriptome analysis was performed. Thyroid hormone (TH)- and androgen/estrogen-regulated adverse outcome pathways (AOPs) were the two types of biological pathways most sensitive to PAE exposure. Notably, six compounds disrupted four TH-mediated AOPs, from the inhibition of deiodinases (molecular initiating event, MIE), a decrease in T3 levels (key event, KE), to mortality (adverse outcome, AO) with the quantitatively linear relationships between MIE-KE (|r| = 0.96, p = 0.002), KE-AO (|r| = 0.88, p = 0.02), and MIE-AO (|r| = 0.89, p = 0.02). Multiple structural analyses showed that benzoic acid is the critical toxicogenic fragment. Our data will facilitate the screening and development of green alternatives.

Regulation of hepatic insulin signaling and glucose homeostasis by sphingosine kinase 2.

Sphingolipid dysregulation is often associated with insulin resistance, while the enzymes controlling sphingolipid metabolism are emerging as therapeutic targets for improving insulin sensitivity. We report herein that sphingosine kinase 2 (SphK2), a key enzyme in sphingolipid catabolism, plays a critical role in the regulation of hepatic insulin signaling and glucose homeostasis both in vitro and in vivo. Hepatocyte-specific Sphk2 knockout mice exhibit pronounced insulin resistance and glucose intolerance. Likewise, SphK2-deficient hepatocytes are resistant to insulin-induced activation of the phosphoinositide 3-kinase (PI3K)-Akt-FoxO1 pathway and elevated hepatic glucose production. Mechanistically, SphK2 deficiency leads to the accumulation of sphingosine that, in turn, suppresses hepatic insulin signaling by inhibiting PI3K activation in hepatocytes. Either reexpressing functional SphK2 or pharmacologically inhibiting sphingosine production restores insulin sensitivity in SphK2-deficient hepatocytes. In conclusion, the current study provides both experimental findings and mechanistic data showing that SphK2 and sphingosine in the liver are critical regulators of insulin sensitivity and glucose homeostasis.

Clinical significance of the CD98hc-CD147 complex in ovarian cancer: a bioinformatics analysis.

Ovarian cancer is one of the most common malignant tumours affecting the female reproductive organs. CD147 (BSG) and CD98hc (SLC3A2) are oncogenes that form the CD98hc-CD147 complex, which regulates the proliferation, metastasis, metabolism, and cell cycle of cancer cells. The roles of the CD98hc-CD147 complex in ovarian cancer remain unclear. We analysed the expression and prognostic value of CD147 and CD98hc in ovarian cancer using the TCGA and ICGC databases. The effect of CD147 and CD98hc on the tumour immune response was analysed using the TIMER database. CD98hc was more highly expressed in normal tissues than primary tumour tissues, while CD147 was more highly expressed in primary tumour tissues than normal tissues. CD98hc expression was significantly associated with neutrophil and dendritic cell levels. CD147 and CD98hc were correlated with DNA repair, the cell cycle, and DNA replication. The CD98hc-CD147 complex could serve as a target for ovarian cancer treatment.

What is already known on this subject? CD98hc and CD147 are oncogenes that induce the proliferation and metastasis of cancer cells. The CD98hc-CD147 complex has been identified as a risk factor for cancer patients and causes resistance to cancer treatment.What do the results of this study add? We confirmed the expression levels of CD98hc and CD147 in ovarian cancer tissues and the effects of these oncogenes on the tumour immune response.What are the implications of these findings for clinical practice and/or further research? The CD98hc-CD147 complex may serve as a new target for ovarian cancer therapy.

Toxicological Mechanism of Individual Susceptibility to Formaldehyde-Induced Respiratory Effects.

Understanding the mechanisms of individual susceptibility to exposure to environmental pollutants has been a challenge in health risk assessment. Here, an integrated approach combining a CRISPR screen in human cells and epidemiological analysis was developed to identify the individual susceptibility to the adverse health effects of air pollutants by taking formaldehyde (FA) and the associated chronic obstructive pulmonary disease (COPD) as a case study. Among the primary hits of CRISPR screening of FA in human A549 cells, HTR4 was the only gene genetically associated with COPD susceptibility in global populations. However, the association between HTR4 and FA-induced respiratory toxicity is unknown in the literature. Adverse outcome pathway (AOP) network analysis of CRISPR screen hits provided a potential mechanistic link between activation of HTR4 (molecular initiating event) and FA-induced lung injury (adverse outcome). Systematic toxicology tests (in vitro and animal experiments) were conducted to reveal the HTR4-involved biological mechanisms underlying the susceptibility to adverse health effects of FA. Functionality and enhanced expression of HTR4 were required for susceptibility to FA-induced lung injury, and FA-induced epigenetic changes could result in enhanced expression of HTR4. Specific epigenetic and genetic characteristics of HTR4 were associated with the progression and prevalence of COPD, respectively, and these genetic risk factors for COPD could be potential biomarkers of individual susceptibility to adverse respiratory effects of FA. These biomarkers could be of great significance for defining subpopulations susceptible to exposure to FA and reducing uncertainty in the next-generation health risk assessment of air pollutants. Our study delineated a novel toxicological pathway mediated by HTR4 in FA-induced lung injury, which could provide a mechanistic understanding of the potential biomarkers of individual susceptibility to adverse respiratory effects of FA.

Effect-Directed Analysis Based on the Reduced Human Transcriptome (RHT) to Identify Organic Contaminants in Source and Tap Waters along the Yangtze River.

Since a large number of contaminants are detected in source waters (SWs) and tap waters (TWs), it is important to perform a comprehensive effect evaluation and key contributor identification. A reduced human transcriptome (RHT)-based effect-directed analysis, which consisted of a concentration-dependent RHT to reveal the comprehensive effects and noteworthy pathways and systematic identification of key contributors based on the interactions between compounds and pathway effects, was developed and applied to typical SWs and TWs along the Yangtze River. By RHT, 42% more differentially expressed genes and 33% more pathways were identified in the middle and lower reaches, indicating heavier pollution. Hormone and immune pathways were prioritized based on the detection frequency, sensitivity, and removal efficiency, among which the estrogen receptor pathway was the most noteworthy. Consistent with RHT, estrogenic effects were widespread along the Yangtze River based on in vitro evaluations. Furthermore, 38 of 100 targets, 39 pathway-related suspects, and 16 estrogenic nontargets were systematically identified. Among them, diethylstilbestrol was the dominant contributor, with the estradiol equivalent (EEQ) significantly correlated with EEQwater. In addition, zearalenone and niclosamide explained up to 54% of the EEQwater. The RHT-based EDA method could support the effect evaluation, contributor identification, and risk management of micropolluted waters.

CRISPR screen identified that UGT1A9 was required for bisphenols-induced mitochondria dyshomeostasis.

Exposure to bisphenols chemicals could cause various adverse health effects, including non-alcoholic fatty liver disease (NAFLD), which have been associated with cellular mitochondria stress. However, the biological mechanism underlying the mitochondria stress-mediated cell death by bisphenols was poorly understood. Here, CRISPR screens were performed to identify the critical genes which were involved in cell death caused by exposure to four bisphenols (BPA, BPB, BPE and BPS). Results of CRISPR screens showed that UGT1A9 was the primary genetic factor facilitating cell death induced by all of the four bisphenols. Systematic toxicological tests demonstrated that UGT1A9 was required for BPA-induced mitochondria dyshomeostasis in vitro and in vivo, and UGT1A9-mediated mitochondria dyshomeostasis was an important cause of facilitating cell death. Liver injury caused by exposure to BPA in wild-type mice was accompanied with suppression of mitophagy and increased expression of C-Caspase 3, but UGT1A9 knockout attenuated these adverse effects induced by BPA. Finally, molecular epidemiology analysis suggested that the five genetic variants of UGT1A9 could be potential genetic risk factors of NAFLD when people were exposed to BPA. The biological mechanism uncovered here provided mechanistic evidence for identification of susceptible populations of liver injury associated with exposure to BPA.

Can CD147 work as a therapeutic target for tumors through COVID-19 infection?

In this review, we discussed an interesting case infected with "COVID-19" (Corona Virus Disease 2019). The patients with Hodgkin's lymphoma recovered after infection with COVID-19. It may be that COVID-19 activates the patient's immune system, or it may be a coincidence. COVID-19 spike protein can interact with CD147 and use it as an entry to invade host cells. CD147 is a partner of SLC3A2, which is the chaperone subunit of cystine/glutamate reverse transporter (system XC). The catalytic subunit of system XC is SLC7A11. SLC7A11 mediated cysteine uptake plays a key role in ferroptosis. Through literature review and data analysis, we suggest that CD147, as a new potential COVID-19 infection entry, may also lead to ferroptosis of host cells. Our hypothesis is that spike protein of COVID-19 induced ferroptosis in host cells via CD147/SLC3A2/SLC7A11 complex. This is another explanation for the cancer patient recovered after COVID-19 infection.

Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes.

BACKGROUND: Sphingosine Kinase (SphK) that catalyzes sphingosine (Sph) to sphingosine 1-phosphate (S1P), plays a key role in both sphingolipid metabolism and cellular signaling. While SphK has been implicated in type 2 diabetes mellitus (T2DM), it is unexplored in humans. Herein, we investigated whether circulating SphK-related metabolites are associated with T2DM incidence in an established prospective cohort. METHODS: Levels of SphK-related sphingolipid metabolites, including Sph, S1P, dihydrosphingosine (dhSph) and dihydro-S1P (dhS1P) in serum were measured by targeted-lipidomic analyses. By accessing to an established prospective cohort that involves a total of 2486 non-diabetic adults at baseline, 100 subjects who developed T2DM after a mean follow-up of 4.2-years, along with 100 control subjects matched strictly with age, sex, BMI and fasting glucose, were randomly enrolled for the present study. RESULTS: Comparison with the control group, medians of serum dhS1P and dhS1P/dhSph ratio at baseline were elevated significantly prior to the onset of T2DM. Each SD increment of dhS1P and dhS1P/dhSph ratio was associated with 53.5% and 54.1% increased risk of incident diabetes, respectively. The predictive effect of circulating dhS1P and dhS1P/dhSph ratio on T2DM incidence was independent of conventional risk factors in multivariate regression models. Furthermore, combination of serum dhS1P and dhS1P/dhSph ratio with conventional clinical indices significantly improved the accuracy of T2DM prediction (AUROC, 0.726), especially for normoglycemic subjects (AUROC, 0.859). CONCLUSION: Circulating levels of dhS1P and dhS1P/dhSph ratio are strongly associated with increased risk of T2DM, and could serve as a useful biomarker for prediction of incident T2DM in normoglycemic populations.

Cross-Model Comparison of Transcriptomic Dose-Response of Short-Chain Chlorinated Paraffins.

Short-chain chlorinated paraffins (SCCPs) have attracted attention because of their toxicological potential in humans and wildlife at environmentally relevant doses. However, limited information is available regarding mechanistic differences across species in terms of the biological pathways that are impacted by SCCP exposure. Here, a concentration-dependent reduced human transcriptome (RHT) approach was conducted to evaluate 15 SCCPs in HepG2 cells and compared with our previous results using a reduced zebrafish transcriptome (RZT) approach in zebrafish embryos (ZFEs). Generally, SCCPs induced a broader suite of biological pathways in ZFEs than HepG2 cells, and all of the 15 SCCPs were more potent in HepG2 cells compared to ZFEs. Despite these general differences, the transcriptional potency of SCCPs in both model systems showed a significant linear relationship (p = 0.0017, r2 = 0.57), and the average ratios of transcriptional potency for each SCCP in RZT to that in RHT were ∼100,000. C10H14Cl8 was the most potent SCCP, while C10H17Cl5 was the least potent in both ZFEs and HepG2 cells. An adverse outcome pathway network-based analysis demonstrated model-specific responses, such as xenobiotic metabolism that may be mediated by different nuclear receptor-mediated pathways between HepG2 cells (e.g., CAR and AhR activation) and ZFEs (e.g., PXR activation). Moreover, induced transcriptional changes in ZFEs associated with pathways and molecular initiating events (e.g., activation of nicotinic acetylcholine receptor) suggest that SCCPs may disrupt neural development processes. The cross-model comparison of concentration-dependent transcriptomics represents a promising approach to assess and prioritize SCCPs.

ToxChip PCR Arrays for Two Arctic-Breeding Seabirds: Applications for Regional Environmental Assessments.

Increasing pollution in the Arctic poses challenges in terms of geographical and ecological monitoring. The Baffin Bay-Davis Strait (BBDS) region in the Canadian Arctic Archipelago is of particular concern due to the potential for increased shipping traffic and oil exploration. However, data on background contaminants associated with oil exploration/spills/natural seeps (e.g., polycyclic aromatic compounds [PAC]) and measures of potential effects for Arctic birds are limited. We developed a toxicogenomics approach to investigate the background gene expression profiles for two Arctic-breeding seabirds, the thick-billed murre (Uria lomvia) and the black guillemot (Cepphus grylle), which will aid effects-based monitoring efforts. Chemical burdens (53 PACs and 5 trace elements) and transcriptomic profiles (31 genes using a ToxChip PCR array) were examined in liver tissues (n = 30) of each species collected from the Qaqulluit and Akpait National Wildlife Areas in the BBDS region. While chemical and transcriptomic profiles demonstrated low variability across individuals for each species, gene expression signatures were able to distinguish guillemots collected from two distinct colonies. This toxicogenomics approach provides benchmark data for two Arctic seabirds and is promising for future monitoring efforts and strategic environmental assessments in this sensitive ecosystem and areas elsewhere in the circumpolar Arctic that are undergoing change.

Hepatocyte-derived extracellular vesicles promote endothelial inflammation and atherogenesis via microRNA-1.

BACKGROUND & AIMS: Clinical evidence has indicated a close link between non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD). However, the underlying mechanism remains to be elucidated. This study aimed to explore a potential role of hepatocyte-derived extracellular vesicles (EVs) in endothelial inflammation and atherogenesis in the context of NAFLD. METHODS: EVs were isolated, quantified and characterized from steatotic hepatocytes. An endothelial cell-specific PCR array was used to screen the functional properties of EVs. Profiling of global microRNA expression was conducted in EVs. The expression level and biological function of microRNA-1 (miR-1) was determined by quantitative PCR, immunoblot and reporter gene assays, respectively. The in vivo effect of miR-1 on atherogenesis was investigated in apolipoprotein E (ApoE)-deficient mice administered with a miR-1-specific inhibitor, antagomiR-1. RESULTS: Steatotic hepatocytes released more EVs, which had significantly altered miRNA expression profiles compared to the EVs released by control hepatocytes. Endothelial cells co-cultured with steatotic hepatocytes, or treated with their EVs or miR-1, expressed significantly more proinflammatory molecules, as well as exhibiting increased NF-κB activity and reduced Kruppel-like factor 4 (KLF4) expression. EV-induced endothelial inflammation was prevented by either downregulation or inhibition of miR-1. While miR-1 treatment suppressed KLF4 expression and reporter gene activity, overexpression of KLF4 dramatically abolished the miR-1-induced endothelial inflammation. Moreover, not only did the miR-1 inhibitor reduce endothelial inflammation in vitro, but it also attenuated atherogenesis in ApoE-deficient mice. CONCLUSION: Steatotic hepatocyte-derived EVs promote endothelial inflammation and facilitate atherogenesis by miR-1 delivery, KLF4 suppression and NF-κB activation. The findings illustrate an important role of hepatocyte-derived EVs in distant communications between the liver and vasculature, suggesting a new mechanism underlying the link between NAFLD and CVD. LAY SUMMARY: Non-alcoholic fatty liver disease (NAFLD), a condition highly prevalent in obese and/or diabetic patients, is emerging as an independent risk factor of cardiovascular disease. Herein, we demonstrated that extracellular vesicles, released by hepatocytes under NAFLD conditions, cause vascular endothelial inflammation and promote atherosclerosis. Within these toxic vesicles, we identified a small molecular cargo that acted as a potent inducer of endothelial inflammation. By inhibiting this cargo's function, a specific gene-based inhibitor profoundly attenuated atherogenesis in mice, uncovering a novel mechanism which may be used to prevent or treat cardiovascular disease in patients with NAFLD.

Sphingosine kinase 2 promotes lipotoxicity in pancreatic ß-cells and the progression of diabetes.

Loss of functional ß-cell mass caused by lipotoxicity is a key pathogenic factor in the development of type 2 diabetes mellitus (T2DM). We have previously reported that sphingosine kinase (SK)1 is an endogenous protector of ß-cells against lipotoxicity. The current study reports that SK2, another isoform of SK, is a crucial mediator of lipotoxicity in ß-cells. Exposure of ß-cells to palmitatic acid (PA), a saturated free fatty acid, resulted in a nearly 2-fold increase in SK2 expression, which paralleled the induction of cell death in a similar dose- and time-dependent fashion. Silencing SK2 expression by its specific small interfering RNAs significantly inhibited PA-induced cell death and caspase-3 activation, whereas overexpression of SK2 promoted lipotoxicity in ß-cells. Mechanistically, upon exposure to PA, endogenous SK2 was shuttled from the nucleus to the cytoplasm, where it interacted with B-cell lymphoma-extra-large (Bcl-xL), leading to mitochondrial apoptotic pathway activation and cell death. By blocking SK2 translocation and its interaction with Bcl-xL, either the nuclear export signal mutant (L423A/L425A) or the BH3 domain mutant (L219A) of SK2 significantly attenuated ß-cell lipotoxicity. Furthermore, SK2 deficiency in mice significantly prevented the loss of ß-cell mass, preserved insulin production, and ameliorated the diabetic phenotype in an established T2DM model induced by feeding a high-fat diet accompanied by administration of streptozotocin. These findings provide the first evidence, in vitro and in vivo, of a critical role for SK2 in mediating ß-cell lipotoxicity and the progression of diabetes.-Song, Z., Wang, W., Li, N., Yan, S., Rong, K., Lan, T., Xia, P. Sphingosine kinase 2 promotes lipotoxicity in pancreatic ß-cells and the progression of diabetes.

Berberine alleviates nonalcoholic fatty liver induced by a high-fat diet in mice by activating SIRT3.

Berberine (BBR) shows promising effects in the treatment of nonalcoholic fatty liver disease (NAFLD) by influencing various metabolic aspects. Inhibition of mitochondrial ß-oxidation (ß-OX) participates in the pathogenesis of NAFLD. Silent mating-type information regulation 2 homolog 3 (SIRT3) has been reported to regulate mitochondrial ß-OX by deacetylating its substrate, long-chain acyl-coenzyme A dehydrogenase (LCAD). This study aimed to explore whether BBR can promote mitochondrial ß-OX and the role of SIRT3 as well as the mechanisms underlying the effects of BBR on hepatic lipid metabolism in mice fed a high-fat diet (HFD). BBR can significantly improve systematic and hepatic lipid metabolism in HFD-fed mice. Metabolomics analysis revealed that ß-OX was inhibited in HFD-induced mice, as indicated by the reduced production of short and medium carbon chain acyl-carnitines, the activated form of free fatty acids, via ß-OX, which was reversed by BBR intervention. Exploration of the mechanism found that BBR intervention reversed the down-regulation of SIRT3 and decreased the LCAD hyperacetylation level in HFD-fed mice. SIRT3 knockout (KO) mice were used to identify the role of SIRT3 in the BBR's influence of ß-OX. The beneficial effects of BBR on systemic and hepatic metabolism were profoundly attenuated in KO mice. Moreover, the promotive effect of BBR on ß-OX in HFD-induced mice was partially abolished in KO mice. These results suggested that BBR alleviates HFD-induced inhibition of fatty acid ß-OX partly through SIRT3-mediated LCAD deacetylation, which may provide a novel mechanism and support BBR as a promising therapeutic for NAFLD.-Xu, X., Zhu, X.-P., Bai, J.-Y., Xia, P., Li, Y., Lu, Y., Li, X.-Y., Gao, X. Berberine alleviates nonalcoholic fatty liver induced by a high-fat diet in mice by activating SIRT3.

A Tiered Approach for Screening and Assessment of Environmental Mixtures by Omics and In Vitro Assays.

New methodology approaches with a broad coverage of the biological effects are urgently needed to evaluate the safety of the universe of environmentally relevant chemicals. Here, we propose a tiered approach incorporating transcriptomics and in vitro bioassays to assess environmental mixtures. The mixture samples and the perturbed biological pathways are prioritized by concentration-dependent transcriptome (CDT) and then used to guide the selection of in vitro bioassays for toxicant identification. To evaluate omics' screening capability, we first applied a CDT technique to test mixture samples by HepG2 and MCF7 cells. The effect recoveries of large-volume solid-phase extraction on the overall bioactivity of the mixture were 48.9% in HepG2 and 58.3% in MCF7. The overall bioactivity potencies obtained by transcriptomics were positively correlated with the panel of 8 bioassays among 14 mixture samples combined with the previous data. Transcriptomics could predict their activation status (AUC = 0.783) and the relative potency (p < 0.05) of bioassays for four of the eight receptors (AhR, ER, AR, and Nrf2). Furthermore, the CDT identified other biological pathways perturbated by mixture samples, such as the pathway related to TP53, CAR, FXR, HIF, THRA, etc. Overall, this study demonstrates the potential of concentration-dependent omics for effect-based water quality assessment.

Toxicogenomic Assessment of Complex Chemical Signatures in Double-Crested Cormorant Embryos from Variably Contaminated Great Lakes Sites.

Using omics approaches to monitor complex environmental mixtures is challenging. Previously, we evaluated in vitro transcriptomic effects of complex organic extracts derived from avian eggs. However, there is a lack of studies using wild species that are naturally exposed to contaminant mixtures. Here, we examined polychlorinated biphenyl (PCB) and polybrominated diphenyl ether (PBDE) residues and gene expression in embryonic liver tissue of double-crested cormorants (Phalacrocorax auritus) collected from six variably contaminated colonies. Colonies near industrialized areas were distinguished from less contaminated sites based on their PCB and PBDE concentrations. The most variably expressed genes between sites were involved in pathways including, xenobiotic metabolism (e.g., Cyp1a4), lipid/bile acid homeostasis (e.g., Lbfabp), and oxidative stress (e.g., Mt4). Hierarchical clustering, based on relative gene expression, revealed a grouping pattern similar to chemical residue concentrations. Further, partial least squares regression analysis was used to estimate chemical concentrations from transcriptomics data. PCB 155 and BDE 47 showed the highest slopes (0.77 and 0.69, respectively) fitted by linear regression of measured and estimated chemical concentrations. The application of transcriptomics to a wild avian species, naturally exposed to complex chemical mixtures and other stressors, represents a promising means to distinguish and prioritize variably contaminated sites.

Hyperspectral deep convolution anomaly detection based on weight adjustment strategy.

Hyperspectral anomaly detection has garnered much research in recent years due to the excellent detection ability of hyperspectral remote sensing in agriculture, forestry, geological surveys, environmental monitoring, and battlefield target detection. The traditional anomaly detection method ignores the non-linearity and complexity of the hyperspectral image (HSI), while making use of the effectiveness of spatial information rarely. Besides, the anomalous pixels and the background are mixed, which causes a higher false alarm rate in the detection result. In this paper, a hyperspectral deep net-based anomaly detector using weight adjustment strategy (WAHyperDNet) is proposed to circumvent the above issues. We leverage three-dimensional convolution instead of the two-dimensional convolution to get a better way of handling high-dimensional data. In this study, the determinative spectrum-spatial features are extracted across the correlation between HSI pixels. Moreover, feature weights in the method are automatically generated based on absolute distance and the spectral similarity angle to describe the differences between the background pixels and the pixels to be tested. Experimental results on five public datasets show that the proposed approach outperforms the state-of-the-art baselines in both effectiveness and efficiency.

FoxO3 regulates hepatic triglyceride metabolism via modulation of the expression of sterol regulatory-element binding protein 1c.

BACKGROUND: Excessive intrahepatic lipid accumulation is the major characteristic of nonalcoholic fatty liver disease (NAFLD). We sought to identify the mechanisms involved in hepatic triglyceride (TG) homeostasis. Forkhead box class O (FoxO) transcription factors have been shown to play an important role in hepatic metabolism. However, little is known about the effect of FoxO3 on hepatic TG metabolism. METHODS: Liver biopsy samples from patients with NALFD and liver tissues from high glucose and high sucrose (HFHS) fed mice, ob/ob mice and db/db mice were collected for protein and mRNA analysis. HepG2 cells were transfected with small interfering RNA to mediate FoxO3 knockdown, or adenovirus and plasmid to mediate FoxO3 overexpression. FoxO3-cDNA was delivered by adenovirus to the liver of C57BL/6 J male mice on a chow diet or on a high-fat diet, followed by determination of hepatic lipid metabolism. Sterol regulatory element-binding protein 1c (SREBP1c) luciferase reporter gene plasmid was co-transfected into HepG2 cells with FoxO3 overexpression plasmid. RESULTS: FoxO3 expression was increased in the livers of HFHS mice, ob/ob mice, db/db mice and patients with NAFLD. Knockdown of FoxO3 reduced whereas overexpression of FoxO3 increased cellular TG concentrations in HepG2 cells. FoxO3 gain-of-function caused hepatic TG deposition in C57BL/6 J mice on a chow diet and aggravated hepatic steatosis when fed a high-fat diet. Analysis of the transcripts established the increased expression of genes related to TG synthesis, including SREBP1c, SCD1, FAS, ACC1, GPAM and DGAT2 in mouse liver. Mechanistically, overexpression of FoxO3 stimulated the expression of SREBP1c, whereas knockdown of FoxO3 inhibited the expression of SREBP1c. Luciferase reporter assays showed that SREBP1c regulated the transcriptional activity of the SREBP1c promoter. CONCLUSIONS: FoxO3 promotes the transcriptional activity of the SREBP1c promoter, thus leading to increased TG synthesis and hepatic TG accumulation.

Aldehyde Dehydrogenase 1 (ALDH1) Promotes the Toxicity of TRAIL in Non-Small Cell Lung Cancer Cells via Post-Transcriptional Regulation of MEK-1 Expression.

BACKGROUND/AIM: Tumor Necrosis Factor-Related Apoptosis Inducing Ligand (TRAIL)-based therapies have been used in many human cancers. However, some tumors are resistant to TRAIL-induced cell death. Aldehyde dehydrogenase 1 (ALDH1) is a functional marker for identification of CSCs. METHODS: In this study, we used the colony formation assay, AnnexinV/ PI double staining and PI staining to detect proliferation, apoptosis and cell cycle in ALDH1+ non-small cell lung cancer (NSCLC) cells with TRAIL treatment. In addition, we established xenograft mouse models to confirm the anti-tumor roles of TRAIL in vivo. Finally, gene array and western blot were used to detect the deeper mechanism of the susceptibility of ALDH1+ NSCLC cells to TRAIL. RESULTS: We confirmed that TRAIL could inhibit proliferation, and induce apoptosis and G1 arrest in ALDH1+ NSCLC cells. Correspondingly, TRAIL was associated with decreased tumor size and the favorable survival rate of ALDH1+ cells established xenograft mouse models. ALDH1 could increase the death receptors (DR) 4 and DR5 expression in ALDH1+ NSCLC cells via activating MEK/ERK signaling pathway. CONCLUSION: ALDH1 protein induced MEK-1 mRNA stability and promoted its translation via its 3'UTR.

Omics Advances in Ecotoxicology.

Toxic substances in the environment generate adverse effects at all levels of biological organization from the molecular level to community and ecosystem. Given this complexity, it is not surprising that ecotoxicologists have struggled to address the full consequences of toxic substance release at ecosystem level, due to the limits of observational and experimental tools to reveal the changes in deep structure at different levels of organization. -Omics technologies, consisting of genomics and ecogenomics, have the power to reveal, in unprecedented detail, the cellular processes of an individual or biodiversity of a community in response to environmental change with high sample/observation throughput. This represents a historic opportunity to transform the way we study toxic substances in ecosystems, through direct linkage of ecological effects with the systems biology of organisms. Three recent examples of -omics advance in the assessment of toxic substances are explored here: (1) the use of functional genomics in the discovery of novel molecular mechanisms of toxicity of chemicals in the environment; (2) the development of laboratory pipelines of dose-dependent, reduced transcriptomics to support high-throughput chemical testing at the biological pathway level; and (3) the use of eDNA metabarcoding approaches for assessing chemical effects on biological communities in mesocosm experiments and through direct observation in field monitoring. -Omics advances in ecotoxicological studies not only generate new knowledge regarding mechanisms of toxicity and environmental effect, improving the relevance and immediacy of laboratory toxicological assessment, but can provide a wholly new paradigm for ecotoxicology by linking ecological models to mechanism-based, systems biology approaches.