Biomineralized Nuclear Receptor Protein-Selection Mass Spectrometry for the Discovery of Drugs and Toxics.

Protein-selection mass spectrometry is cost-effective for the discovery of drugs and toxics. Nuclear receptors (NRs) are major targets for pharmaceuticals and endocrine-disrupting chemicals and are, thus, widely used as "bait" proteins. However, their application is limited due to the tendency to lose protein activity during cold storage. To address this problem, we introduced a novel biomineralization-based approach to preserve activity in NRs, exemplified by human retinoic acid receptor alpha (hRARα), a target for cancer and leucocythemia therapy. Since information on the coordination chemistry of metal ion and NR protein complexes is almost unavailable, we applied peptide mapping analysis for the first time for the rational design of his-hRARα-Co phosphate nanobiomaterial with high bioactivity. This nanobiomaterial successfully captured hRARα bioactive chemicals from a Chinese herb and environmental water and discovered an unsaturated fatty acid, (±)-(9Z,11E)-13-hydroxy-9,11-octadecadienoic acid ((±)13-HODE), which exhibited strong hRARα antagonistic activity.

2-Ethylhexyl Diphenyl Phosphate Induces Autism Spectrum Disorder-Like Behaviors in Offspring Mice by Disrupting Postsynaptic Development.

As organophosphorus flame retardants (OPFRs) are constantly detected in human samples, the neurotoxicity of OPFRs is of concern. In this study, pregnant ICR mice were exposed to 2-ethylhexyl diphenyl phosphate (EHDPP) in drinking water from gestation to lactation to investigate its effects on autism spectrum disorder-like (ASD-like) behaviors in offspring. Serum EHDPP concentrations in dams in the 0.4, 2, and 10 mg/kg groups were 0.282 ± 0.051, 0.713 ± 0.115, and 0.974 ± 0.048 ng/mL, respectively, within the concentration range in humans. At the highest dose, EHDPP exposure induced ASD-like behaviors in both female and male offspring. Significant reductions in mature dendritic spines and structural damage to the postsynaptic density zone were noted in all but the lowest exposure groups, indicating postsynaptic membrane impairment. Mechanistically, EHDPP significantly downregulated disc large MAGUK scaffold protein 4 expression by inhibiting protein kinase B and type 1 insulin-like growth factor receptor phosphorylation. In the heterologous synapse formation assay in vivo, EHDPP significantly reduced the levels of postsynaptic density protein 95 expression in neurons at 1 µM. Overall, the study utilized in vitro and in vivo experiments to confirm that EHDPP damaged postsynaptic membrane formation and might increase the incidence of ASD in offspring.

Exposure levels and maternal transfer of emerging organophosphate flame retardants (OPFRs) in pregnant women: Comparison with traditional OPFRs.

Prenatal exposure to organophosphorus flame retardants (OPFRs) has been linked with adverse effects on reproductive health, and new OPFRs are continually emerging. In this study, emerging OPFRs, such as bis(2-ethylhexyl) phenyl phosphate (BEHPP), triamyl phosphate (TAP), tris(4-tert-butylphenyl) phosphate (T4tBPPP), oxydi-2,1-ethanediyl phosphoric acid tetrakis(2 chloro-1-methylethyl) ester (RDT905), cresyl diphenyl phosphate (CDP), and 2-isopropylphenyl diphenyl phosphate (2IPPDPP), were detected in 84 %, 100 %, 100 %, 52 %, 40 %, and 40 % of 25 decidua samples with average concentrations of 2.36, 6.21, 1.5, 2.6, 1.07, and 0.09 ng/g of dry weight (dw), respectively. Six of the aforementioned emerging OPFRs (BEHPP, T4tBPPP, RDT905, 2IPPDPP, CDP, and TAP) were simultaneously detected in paired chorionic villus samples, and their average concentrations were 11.3, 1.77, 3.64, 0.11, 0.58, and 3.34 ng/g, which were significantly higher than and positively correlated with those in decidua samples. The geometric mean concentration ratios between chorionic villus and decidua samples for BEHPP, T4tBPPP, RDT905, 2IPPDPP, CDP, and TAP were 4.02, 1.61, 1.73, 1.48, 0.82, and 0.69, respectively, consistent with transthyretin binding-dependent behavior. Prenatal exposure to such emerging OPFRs, especially for BEHPP with relatively high concentration and maternal transfer, is of high concern from the view of women's reproductive health.

A deep learning framework combining molecular image and protein structural representations identifies candidate drugs for pain.

Artificial intelligence (AI) and deep learning technologies hold promise for identifying effective drugs for human diseases, including pain. Here, we present an interpretable deep-learning-based ligand image- and receptor's three-dimensional (3D)-structure-aware framework to predict compound-protein interactions (LISA-CPI). LISA-CPI integrates an unsupervised deep-learning-based molecular image representation (ImageMol) of ligands and an advanced AlphaFold2-based algorithm (Evoformer). We demonstrated that LISA-CPI achieved ∼20% improvement in the average mean absolute error (MAE) compared to state-of-the-art models on experimental CPIs connecting 104,969 ligands and 33 G-protein-coupled receptors (GPCRs). Using LISA-CPI, we prioritized potential repurposable drugs (e.g., methylergometrine) and identified candidate gut-microbiota-derived metabolites (e.g., citicoline) for potential treatment of pain via specifically targeting human GPCRs. In summary, we presented that the integration of molecular image and protein 3D structural representations using a deep learning framework offers a powerful computational drug discovery tool for treating pain and other complex diseases if broadly applied.

Role of primary drivers leading to emission reduction of major air pollutants and CO2 from global power plants.

Electricity production is a significant source of air pollution. Various factors, including electricity demand, generation efficiency, energy mix, and end-of-pipe control measures, are responsible for the emission changes during electricity generation. Although electricity production more than doubled from 1990 to 2017, air pollutant emissions showed a moderate increase or decrease, which was attributed to mitigating drivers such as increased clean energy use, improved power generation efficiency, and widespread installation of end-of-pipe control facilities. The absence of these mitigating drivers would have increased CO2, fine particulate matter (PM2.5), black carbon, SO2, and NOx emissions in 2017 by 165 %, 403 %, 1070 %, 614 %, and 274 % than their actual levels, respectively. The improved electricity generation efficiency reduced potential CO2, PM2.5, SO2, and NOx emissions by 30 %, 295 %, 119 %, and 52 % compared to actual emissions, respectively. Meanwhile, the installation of end-of-pipe facilities reduced potential SO2 and PM2.5 emissions by 34.7 and 4.0 Tg, respectively. Considerable differences in emissions among countries were found to be attributable to their differences in electricity demand and the implementation of local mitigating polices.

Astragaloside IV Reduces Lung Epithelial Cell Pyroptosis via TXNIP-NLRP3-GSDMD pathway.

This study aimed to investigate the detrimental impact of cigarettes on lung cells and the potential effects of astragaloside IV on lung epithelial cell oxidative stress and pyroptosis. The research utilized cigarette smoke extract (CSE) to stimulate lung epithelial cells BEAS-2B, assessed cytotoxicity using the CCK-8 method, and measured changes in reactive oxygen species (ROS) and mitochondrial membrane potential with a probe method. Additionally, Seahorse XF24 was employed to analyze the impact of CSE on mitochondria in lung epithelial cells. Furthermore, LPS and cigarette combination-treated mice were created, alveolar damage was evaluated using HE staining, and changes in the key protein GSDMD of pyroptosis were detected using western blot (WB). The study also utilized the CCK-8 method to assess the potential toxic effects of astragaloside IV on lung epithelial cells, and the probe method to monitor changes in ROS and mitochondrial membrane potential. WB analysis was conducted to observe protein alterations in the TXNIP/NLRP3/GSDMD pathway. CSE concentration-dependently reduced cell activity, increased cellular ROS levels, and decreased mitochondrial membrane potential. CSE also decreases basal respiratory capacity, respiratory reserve capacity, and ATP production levels in cells. In LPS and cigarette combination-treated mice, cigarette smoke caused the alveolar septum to break and alveoli to enlarge, while increasing the expression of pyroptosis-related protein GSDMD. Astragaloside IV did not show significant cytotoxic effects within 48 h of treatment and could reduce CSE-induced ROS levels while increasing mitochondrial membrane potential. WB results indicated that astragaloside IV reduced the activation of the TXNIP/NLRP3/GSDMD signaling pathway in lung epithelial cells exposed to CSE. Our study demonstrates that CSE induces oxidative stress and impairs mitochondrial function in pulmonary epithelial cells, while astragaloside IV can potentially reverse these effects by inhibiting the TXNIP-NLRP3-GSDMD signaling pathway, thereby mitigating CSE-induced pulmonary disease and epithelial cell pyroptosis.

Diisodecyl phenyl phosphate promotes foam cell formation by antagonizing Liver X receptor alpha.

While the cardiovascular system is a primary target of organophosphorus flame retardants (OPFRs), particularly aryl-OPFRs, it is still exclusive whether the diisodecyl phenyl phosphate (DIDPP), widely used and broadly present in the environment at high concentrations, elicits atherosclerosis effects. Liver X receptors (LXRs) play a direct role in regulating the formation of atherosclerotic lesions. This study was the first to demonstrate that DIDPP acts as an LXRα ligand and functions as an LXRα antagonist with a half-maximal inhibitory concentration of 16.2 µM. We showed that treatment of an in vitro macrophage model with 1 to 10 µM of DIDPP resulted in the downregulation of direct targets of LXRα, namely ABCA1, ABCG1 and SR-B1, thereby leading to a 7.9-13.2 % reduction in cholesterol efflux. This caused dose-dependent, 24.1-43.1 % increases in the staining intensity of foam cells in the macrophage model. This atherosclerotic effect of DIDPP was proposed to be due to its antagonism of LXRα activity, as DIDPP treatment did not alter cholesterol influx. In conclusion, the findings of this study demonstrate that exposure to DIDPP may be a risk factor for atherosclerosis due to the LXRα-antagonistic activity of DIDPP and its ubiquity in the environment.

Three-Dimensional Thermo-Chemo-Mechanical Coupled Curing Analysis for the Filament Wound Composite Shell.

Carbon fiber resin-based composite materials are widely employed in the manufacturing of composite shells. During the curing process, the temperature gradients and cure degree gradients make it easy to generate thermal strains in both carbon fibers and resin, with the resin experiencing cure shrinkage strain due to the curing reaction, ultimately leading to residual stresses and strains. In this paper, a three-dimensional thermo-chemo-mechanical coupled curing model of the composite shell was established based on a resin test, and the changes of temperature, curing degree, residual stress, and strain during the solidification of the composite shell were investigated. First, the curing property parameters and elastic modulus of HCM-2184 resin were obtained through a curing dynamic test and a tensile test. Then, considering the heat release and shrinkage reaction of solidification, a coupled thermo-chemo-mechanical curing model was developed with the CHILE (α) elastic model, and the curing process of the composite shell was simulated numerically. The results show that the resin used in the test belongs to the autocatalytic reaction. For thin composite shells, the heat accumulation inside the shell during curing is not obvious. During the curing process, the curing shrinkage behavior of the resin is an important factor for the generation of residual stress and residual strain.

Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease.

The high failure rate of clinical trials in Alzheimer's disease (AD) and AD-related dementia (ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit may be addressed by applying artificial intelligence (AI) to "big data" to rapidly and effectively expand therapeutic development efforts. Recent accelerations in computing power and availability of big data, including electronic health records and multi-omics profiles, have converged to provide opportunities for scientific discovery and treatment development. Here, we review the potential utility of applying AI approaches to big data for discovery of disease-modifying medicines for AD/ADRD. We illustrate how AI tools can be applied to the AD/ADRD drug development pipeline through collaborative efforts among neurologists, gerontologists, geneticists, pharmacologists, medicinal chemists, and computational scientists. AI and open data science expedite drug discovery and development of disease-modifying therapeutics for AD/ADRD and other neurodegenerative diseases.

Large-scale screening of clinical assessments to distinguish between states in the Integrated HD Progression Model (IHDPM).

Background: Understanding the sensitivity and utility of clinical assessments across different HD stages is important for study/trial endpoint selection and clinical assessment development. The Integrated HD Progression Model (IHDPM) characterizes the complex symptom progression of HD and separates the disease into nine ordered disease states. Objective: To generate a temporal map of discriminatory clinical measures across the IHDPM states. Methods: We applied the IHDPM to all HD individuals in an integrated longitudinal HD dataset derived from four observational studies, obtaining disease state assignment for each study visit. Using large-scale screening, we estimated Cohen's effect sizes to rank the discriminative power of 2,472 clinical measures for separating observations in disease state pairs. Individual trajectories through IHDPM states were examined. Discriminative analyses were limited to individuals with observations in both states of the pairs compared (N = 3,790). Results: Discriminative clinical measures were heterogeneous across the HD life course. UHDRS items were frequently identified as the best state pair discriminators, with UHDRS Motor items - most notably TMS - showing the highest discriminatory power between the early-disease states and early post-transition period states. UHDRS functional items emerged as strong discriminators from the transition period and on. Cognitive assessments showed good discriminative power between all state pairs examined, excepting state 1 vs. 2. Several non-UHDRS assessments were also flagged as excellent state discriminators for specific disease phases (e.g., SF-12). For certain state pairs, single assessment items other than total/summary scores were highlighted as having excellent discriminative power. Conclusion: By providing ranked quantitative scores indicating discriminatory ability of thousands of clinical measures between specific pairs of IHDPM states, our results will aid clinical trial designers select the most effective outcome measures tailored to their study cohort. Our observations may also assist in the development of end points targeting specific phases in the disease life course, through providing specific conceptual foci.

Nontargeted Analysis Reveals a Broad Range of Bioactive Pollutants in Drinking Water by Estrogen Receptor Affinity-Mass Spectrometry.

Exposure to environmental endocrine-disrupting chemicals (EDCs) can cause extensive health issues. However, specific EDCs remain elusive. This work aimed at performing nontargeted identification of estrogen receptor α (ERα)-active compounds using an ERα protein affinity assay combined with high-resolution mass spectrometry in the source and drinking water sampled from major rivers in China. Fifty-one potential ERα-active compounds across 13 categories were identified. For the first time, diisodecyl phenyl phosphate was found to have antiestrogenic activity, and three chemicals (galaxolidone, bensulfuron methyl, and UV234) were plausible ERα ligands. Among the 51 identified compounds, 12 were detected in the aquatic environment for the first time, and the concentration of N-phenyl-2-naphthylamine, a widely used antioxidant in rubber products, was up to 1469 and 1190 ng/L in source and drinking water, respectively. This study demonstrated the widespread presence of known and unknown ERα estrogenic and antiestrogenic pollutants in the major rivers that serve as key sources of drinking water in China and the low removal efficiency of these chemicals in drinking water treatment plants.

Unregistered Hexaphenoxycyclotriphosphazene and Its Metabolite Antagonize Retinoic Acid and Retinoic X Receptors and Cause Early Developmental Damage.

Hexaphenoxycyclotriphosphazene (HPCTP), an unregistered chemical, has been used as a substitute for triphenyl phosphate in flame retardants and plasticizers. Here, we identified its metabolite, pentaphenoxycyclotriphosphazene (PPCTP) in the liver of Japanese medaka exposed to HPCTP. When sexually mature female medaka were exposed to HPCTP at 37.0, 90.4, and 465.4 ng/L for 35 days, the HPCTP concentration (642.1-2531.9 ng/g lipid weight [lw]) in the embryos considerably exceeded that (34.7-298.1 ng/g lw) in the maternal muscle, indicating remarkable maternal transfer. During 0-9 days postfertilization, the HPCTP concentration in the embryos decreased continuously, while the PPCTP concentration increased. HPCTP and PPCTP antagonized the retinoic X receptor with 50% inhibitory concentrations (IC50) of 34.8 and 21.2 µM, respectively, and PPCTP also antagonized the retinoic acid receptor with IC50 of 2.79 µM. Such antagonistic activities may contribute to eye deformity (4.7% at 465.4 ng/L), body malformation (2.1% at 90.4 ng/L and 6.8% at 465.4 ng/L), and early developmental mortality (11.6-21.7% in all exposure groups) of the embryos. HPCTP was detected in a main tributary of the Yangtze River Basin. Thus, HPCTP poses a risk to wild fish populations, given the developmental toxicities associated with this chemical and its metabolite.

Multifunction E-Skin Based on MXene-PA-Hydrogel for Human Behavior Monitoring.

Hydrogels have attracted significant attention in various fields, such as smart sensing, human-machine interaction, and biomedicines, due to their excellent flexibility and versatility. However, current hydrogel electronic skins are still limited in stretchability, and their sensing functionality is often single-purpose, making it difficult to meet the requirements of complex environments and multitasking. In this study, we developed an MXene nanoplatelet and phytic acid-coreinforced poly(vinyl alcohol) (PVA) composite, denoted as MXene-PA-PVA. The strong hydrogen bonds formed by the interaction of the different components and the enhancement of chain entanglement result in a significant improvement in the mechanical properties of the PVA/PA/MXene composite hydrogel. This improvement is reflected in an increase of 271.43% in the maximum tensile strain and 35.29% in the maximum fracture stress. Moreover, the composite hydrogel exhibits excellent adhesion, water retention, heat resistance, and conductivity properties. The PVA/PA composite material combined with MXene demonstrates great potential for use as multifunctional sensors for strain and temperature detection with a strain-sensing sensitivity of 3.23 and a resistance temperature coefficient of 8.67. By leveraging the multifunctional characteristics of this composite hydrogel, electronic skin can accurately monitor human behavior and physiological reactions. This advancement opens up new possibilities for flexible electronic devices and human-machine interactions in the future.

Relationships of Liver X Receptor Antagonists and Atherosclerosis in Drinking Water from Six Chinese Major Cities.

While environmental factors have been considered contributors to atherosclerosis, it remains unclear whether drinking water promotes foam cell formation, the initial event of atherosclerosis. This study revealed that drinking water from six major cities in China, namely, Harbin, Jinan, Shanghai, Wuhan, Chongqing, and Zhuhai, significantly promoted foam cell formation in an in vitro macrophage model at a minimum concentration fold of 2. Moreover, cholesterol efflux was significantly impeded by all samples at 2-16-fold, while cholesterol influx was induced only by samples from Jinan and Chongqing at 16-fold, suggesting the dominant role of efflux in foam cell formation. Interestingly, except for the sample from Jinan, the samples exhibited complete inhibition of liver X receptor α (LXRα) activities at 160-fold, indicating the potential role of chemicals in drinking water in promoting foam cell formation by antagonizing LXRα. Through LXRα protein affinity selection-mass spectrometry, we identified ten LXRα-binding compounds, with efavirenz being revealed for the first time as a significant inducer of foam cell formation through LXRα antagonism. Overall, this study clarifies the atherosclerotic risks posed by drinking water and demonstrates the efavirenz-related atherosclerotic effects.

The impact of China's high-speed rail investment on regional economy and air pollution emissions.

The high-speed rail (HSR) network in China has experienced rapid development since the 2000s. In 2016, the State Council of the People's Republic of China issued a revised version of the "Mid- and Long-term Railway Network Plan", detailing the expansion of the railway network and construction of an HSR system. In the future, the HSR construction efforts in China will further increase, which is considered to impact regional development and air pollutant emissions. Therefore, in this paper, we apply a transportation network-multiregional computable general equilibrium (CGE) model to estimate the dynamic effects of HSR projects on economic growth, regional disparities, and air pollutant emissions in China. The results indicate that HSR system improvement could generate a positive economic impact but could also increase emissions. The gross domestic product (GDP) growth per unit investment cost stimulated by HSR investment is found to be the largest in eastern China but the smallest in the northwest regions. Conversely, HSR investment in Northwest China contributes to a substantial reduction in regional disparities in terms of the GDP per capita. In regard to air pollution emissions, HSR construction in South-Central China results in the largest increase in CO2 and NOX emissions, while for CO, SO2, and fine particulate matter (PM2.5) emissions, the largest increase occurs due to HSR construction in Northwest China. At the regional level, the provinces with large changes in accessibility also experience large changes in their air pollutant emissions.

Discovery of Three Organothiophosphate Esters in River Water Using High-Resolution Mass Spectrometry.

Records of the environmental occurrence of organothiophosphate esters (OTPEs), which are used as flame retardants and food and industrial additives, are unavailable. In this study, we discovered three OTPEs, namely O,O,O-tris(2,4-di-tert-butylphenyl) phosphorothioate (AO168═S), O-butyl O-(butyl-methylphenyl) O-(di-butylphenyl) phosphorothioate (BBMDBPt)/O,O-bis(dibutylphenyl) O-methyl phosphorothioate (BDBPMPt), and O-butyl O-ethyl O-hydrogen phosphorothioate (BEHPt), in the surface water of the Yangtze River Basin by applying a characteristic phosphorothioate fragment-directed high-resolution mass spectrometry method. Among the 17 water samples tested, the detection frequencies of AO168═S and BEHPt were 100% and that of BBMDBPt/BDBPMPt was 29%. The mean concentration of AO168═S was 56.9 ng/L (30.5-148 ng/L), and semi-quantitative analysis revealed that the mean concentrations of BEHPt and BBMDBPt/BDBPMPt were 17.2 ng/L (5.5-65.4 ng/L) and 0.8 ng/L (

Enzyme-Catalyzed Hydrogen-Deuterium Exchange between Environmental Pollutants and Enzyme-Regulated Endogenous Metabolites.

Environmental pollutants can disrupt the homeostasis of endogenous metabolites in organisms, leading to metabolic disorders and syndromes. However, it remains highly challenging to efficiently screen for critical biological molecules affected by environmental pollutants. Herein, we found that enzyme could catalyze hydrogen-deuterium (H-D) exchange between a deuterium-labeled environmental pollutant [D38-bis(2-ethylhexyl) phthalate (D38-DEHP)] and several groups of enzyme-regulated metabolites [cardiolipins (CLs), monolysocardiolipins (MLCLs), phospholipids (PLs), and lysophospholipids (LPLs)]. A high-throughput scanning identified the D-labeled endogenous metabolites in a simple enzyme [phospholipase A2 (PLA2)], enzyme mixtures (liver microsomes), and living organisms (zebrafish embryos) exposed to D38-DEHP. Mass fragmentation and structural analyses showed that similar positions were D-labeled in the CLs, MLCLs, PLs, and LPLs, and this labeling was not attributable to natural metabolic transformations of D38-DEHP or incorporation of its D-labeled side chains. Molecular docking and competitive binding analyses revealed that DEHP competed with D-labeled lipids for binding to the active site of PLA2, and this process mediated H-D exchange. Moreover, competitive binding of DEHP against biotransformation enzymes could interfere with catabolic or anabolic lipid metabolism and thereby affect the concentrations of endogenous metabolites. Our findings provide a tool for discovering more molecular targets that complement the known toxic endpoints of metabolic disruptors.

Melatonin ameliorates glyphosate- and hard water-induced renal tubular epithelial cell senescence via PINK1-Parkin-dependent mitophagy.

The combination of glyphosate (Gly) and hard water (Hwt) is a suspected risk factor for chronic interstitial nephritis in agricultural communities (CINAC). Accumulated mitochondrial damage and proximal tubular epithelial (PTE) cell senescence have been implicated in CINAC pathogenesis. Melatonin (Mel) has potential mitochondrial function and renoprotective properties, but its role and mechanism in CINAC are unknown. Here, we detected PTE cell senescence and PTEN-induced putative protein kinase 1 (PINK1)-parkin RBR E3 ubiquitin protein ligase (Parkin)-dependent mitophagy in mice orally administered with different doses of Gly combined with Hwt (Gly: 100 mg/kg·bw and 0.7 mg/L; Hwt: 2,500 mg/L CaCO3 and 250 mg/L Ca2+) for different durations (12 and 36 w) using histological examination, transmission electron microscopy (TEM), immunofluorescence (IF) analysis, and immunohistochemistry (IHC), immunoblotting, ELISA and biochemical assays with kits. The same assays were performed after combination treatment with Mdivi-1 (an inhibitor of mitophagy, i.p. 10 mg/kg·bw, twice a week for 12 w) or Mel (i.p. 10 mg/kg·bw, once a day for 12 w) under high-level exposure. Gly combined with Hwt (Gly-Hwt) significantly increased P16-P21-dependent PTE cell senescence, mitochondrial fission and oxidative stress, and activated PINK1-Parkin-mediated mitophagy, accompanied by defective autophagic flux at high doses but unaltered autophagic flux at low doses. Improved senescence occurred after Mdivi-1 administration, suggesting that mitophagy is involved in cellular senescence. Mel significantly decreased senescence induced by Gly-Hwt. Furthermore, PINK1-Parkin-dependent mitophagy and autophagic flux were markedly enhanced, and mitochondrial function was improved, as evidenced by reductions in mitochondrial fission and subsequent oxidative damage. Thus, Gly and Hwt synergistically promote PTE cell senescence through PINK1-Parkin-mediated mitophagy, and Mel exerts renoprotective effects by modulating mitophagy, suggesting therapeutic applications in ageing-related CINAC.

Amniogenesis in Human Amniotic Sac Embryoids after Exposures to Organophosphate Flame Retardants.

BACKGROUND: Amniogenesis is a key event in biochemical pregnancy, and its failure may result in human embryonic death. However, whether and how environmental chemicals affect amniogenesis remain largely unknown. OBJECTIVES: The objective of the present study was to screen chemicals that may disrupt amniogenesis in an amniotic sac embryoid model and to investigate the potential mechanism of amniogenesis failure, with a focus on organophosphate flame retardants (OPFRs). METHODS: This study developed a high-throughput toxicity screening assay based on transcriptional activity of octamer-binding transcription factor 4 (Oct4). For the two positive OPFR hits with the strongest inhibitory activity, we used time-lapse and phase-contrast imaging to assess their effects on amniogenesis. Associated pathways were explored by RNA-sequencing and western blotting, and potential binding target protein was identified through a competitive binding experiment. RESULTS: Eight positive hits exhibiting Oct4 expression were identified, with 2-ethylhexyl-diphenyl phosphate (EHDPP) and isodecyl diphenyl phosphate (IDDPP) showing the strongest inhibitory activity. EHDPP and IDDPP were found to disrupt the rosette-like structure of the amniotic sac or inhibit its development. Functional markers of squamous amniotic ectoderm and inner cell mass were also found disrupted in the EHDPP- and IDDPP-exposed embryoids. Mechanistically, embryoids exposed to each chemical exhibited abnormal accumulation of phosphorylated nonmuscle myosin (p-MLC-II) and were able to bind to integrin ß1 (ITGß1). CONCLUSION: The amniotic sac embryoid models suggested that OPFRs disrupted amniogenesis likely by inhibiting the ITGß1 pathway, thus providing direct in vitro evidence associating OPFRs with biochemical miscarriage. https://doi.org/10.1289/EHP11958.