A study on the differential effects of heterogeneous environmental regulations on the green transformation of Chinese manufacturing enterprises under "Double Carbon" target.

Using panel data of Chinese manufacturing enterprises listed in Shanghai and Shenzhen A-shares from 2015 to 2021, we examine the effects of heterogeneous environmental regulations on the green transformation of Chinese manufacturing enterprises under "Double Carbon" target, and reveal the mediating role played by managers' green perception in the process from an intra-firm perspective. We find that three environmental regulation tools, namely environmental administrative supervision, environmental economic regulation and environmental soft constraint, all contribute significantly to the green transformation of manufacturing enterprises. Among them, environmental economic regulation is the most effective in promoting the green transformation of manufacturing enterprises, followed by environmental soft constraint and environmental administrative supervision. The mechanism analysis shows that managers' green perception is partially mediated between heterogeneous environmental regulations and the green transformation of manufacturing enterprises. Moreover, environmental administrative supervision is the most effective in raising managers' green perception among them, followed by environmental economic regulation and environmental soft constraint. Further analysis shows that the positive effect of heterogeneous environmental regulations on the green transformation of Chinese manufacturing enterprises is more significant when the enterprises locate in regions with high policy uncertainty, in the eastern part of the country, or when the enterprises are state-owned enterprises. The conclusions provide a theoretical basis for Chinese environmental policymakers to flexibly adopt differentiated environmental regulation tools.

Genome-wide association analyses identified novel susceptibility loci for pulmonary embolism among Han Chinese population.

BACKGROUND: A large proportion of pulmonary embolism (PE) heritability remains unexplained, particularly among the East Asian (EAS) population. Our study aims to expand the genetic architecture of PE and reveal more genetic determinants in Han Chinese. METHODS: We conducted the first genome-wide association study (GWAS) of PE in Han Chinese, then performed the GWAS meta-analysis based on the discovery and replication stages. To validate the effect of the risk allele, qPCR and Western blotting experiments were used to investigate possible changes in gene expression. Mendelian randomization (MR) analysis was employed to implicate pathogenic mechanisms, and a polygenic risk score (PRS) for PE risk prediction was generated. RESULTS: After meta-analysis of the discovery dataset (622 cases, 8853 controls) and replication dataset (646 cases, 8810 controls), GWAS identified 3 independent loci associated with PE, including the reported loci FGG rs2066865 (p-value = 3.81 × 10-14), ABO rs582094 (p-value = 1.16 × 10-10) and newly reported locus FABP2 rs1799883 (p-value = 7.59 × 10-17). Previously reported 10 variants were successfully replicated in our cohort. Functional experiments confirmed that FABP2-A163G(rs1799883) promoted the transcription and protein expression of FABP2. Meanwhile, MR analysis revealed that high LDL-C and TC levels were associated with an increased risk of PE. Individuals with the top 10% of PRS had over a fivefold increased risk for PE compared to the general population. CONCLUSIONS: We identified FABP2, related to the transport of long-chain fatty acids, contributing to the risk of PE and provided more evidence for the essential role of metabolic pathways in PE development.

Pseudomonas aeruginosa detection based on droplets incubation using an integrated microfluidic chip, laser spectroscopy, and machine learning.

Pseudomonas aeruginosa is an opportunist pathogen responsible for causing several infections in the human body, especially in patients with weak immune systems. The proposed approach reports a novel pathogens detection system based on cultivating microdroplets and acquiring the scattered light signals from the incubated droplets using a microfluidic device. Initially, the microdroplets were generated and incubated to cultivate bacteria inside the microdroplets. The second part of the microfluidic chip is the detection module, embedded with three optical fibers to connect laser light and photosensors. The incubated droplets were reinjected in the detection module and passed through the laser light. The surrounding photosensors were arranged symmetrically at 45° to the flowing channel for acquiring the scattered light signal. The noise was removed from the acquired data, and time-domain waveform features were evaluated. The acquired features were trained using machine learning classifiers to classify P. aeruginosa. The k-nearest neighbors (KNN) showed superior classification performance with 95.6 % accuracy among other classifiers, including logistic regression (LR), support vector machines (SVM), and naïve Bayes (NB). The proposed research was performed to validate the method for pathogens detection with a concentration of 105 CFU/mL. The total duration of 6 h is required to test the sample, including five hours for droplets incubation and one hour for sample preparation and detection using light scattering module. The results indicate that acquiring the light scattering patterns from incubated droplets can detect P. aeruginosa using machine learning classification. The proposed system is anticipated to be helpful as a rapid device for diagnosing pathogenic infections.

Tamoxifen resistance-related ceRNA network for breast cancer.

Background: Tamoxifen (TMX) is one of the most widely used drugs to treat breast cancer (BC). However, acquired drug resistance is still a major obstacle to its application, rendering it crucial to explore the mechanisms of TMX resistance in BC. This aims of this study were to identify the mechanisms of TMX resistance and construct ceRNA regulatory networks in breast cancer. Methods: GEO2R was used to screen for differentially expressed mRNAs (DEmRNAs) leading to drug resistance in BC cells. MiRTarbase and miRNet were used to predict miRNAs and lncRNAs upstream, and the competing endogenous RNA (ceRNA) regulatory network of BC cell resistance was constructed by starBase. We used the Kaplan-Meier plotter and Gene Expression Profiling Interactive Analysis (GEPIA) to analyze the expression and prognostic differences of genes in the ceRNA network with core axis, and qRT-PCR was used to further verify the above conclusions. Results: We found that 21 DEmRNAs were upregulated and 43 DEmRNA downregulated in drug-resistant BC cells. DEmRNAs were noticeably enriched in pathways relevant to cancer. We then constructed a protein-protein interaction (PPI) network based on the STRING database and defined 10 top-ranked hub genes among the upregulated and downregulated DEmRNAs. The 20 DEmRNAs were predicted to obtain 113 upstream miRNAs and 501 lncRNAs. Among them, 7 mRNAs, 22 lncRNAs, and 11 miRNAs were used to structure the ceRNA regulatory network of drug resistance in BC cells. 4 mRNAs, 4 lncRNAs, and 3 miRNAs were detected by GEPIA and the Kaplan-Meier plotter to be significantly associated with BC expression and prognosis. The differential expression of the genes in BC cells was confirmed by qRT-PCR. Conclusion: The ceRNA regulatory network of TMX-resistant BC was successfully constructed and confirmed. This will provide an important resource for finding therapeutic targets for TMX resistance, where the discovery of candidate conventional mechanisms can aid clinical decision-making. In addition, this resource will help discover the mechanisms behind this type of resistance.

ID2 inhibits lung adenocarcinoma cell malignant behaviors by inhibiting the activation of the PI3K/AKT/mTOR signaling pathway.

Lung cancer is the most common cancer and one of the main causes of cancer-related deaths, presenting in most cases as metastatic disease. Given the frequent gene mutation and/or signaling deregulation in lung adenocarcinoma, identifying novel factors or agents that target these signaling pathways may be promising strategies for lung adenocarcinoma therapy. Herein, we identified inhibitor of DNA binding 2 (ID2) as an aberrantly downregulated gene in lung adenocarcinoma. ID2 overexpression not only suppressed the viability, colony formation ability, and migration ability of lung adenocarcinoma cells but also decreased the protein levels of N-cadherin, MMP2, MMP9 and the phosphorylation levels of AKT and mTOR. The effects of PI3K/AKT/mTOR signaling agonist on lung adenocarcinoma cells were opposite to those of ID2 overexpression, partially reversing the effects of ID2 overexpression. In these experimental tissue samples, ID2 protein levels and mRNA expression were also down-regulated compared with those in adjacent non-cancerous tissues. Altogether, these findings indicated that ID2 exerts its tumor-suppressive effects on the malignant behavior of lung adenocarcinoma cells by inhibiting the activation of the PI3K/AKT/mTOR signaling pathway. Restoration of ID2 expression in lung adenocarcinoma cells may improve the therapeutic efficacy of lung adenocarcinoma therapies.

Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria.

Detection of foodborne pathogens at an early stage is very important to control food quality and improve medical response. Rapid detection of foodborne pathogens with high sensitivity and specificity is becoming an urgent requirement in health safety, medical diagnostics, environmental safety, and controlling food quality. Despite the existing bacterial detection methods being reliable and widely used, these methods are time-consuming, expensive, and cumbersome. Therefore, researchers are trying to find new methods by integrating spectroscopy techniques with artificial intelligence and advanced materials. Within this progress report, advances in the detection of foodborne pathogens using spectroscopy techniques are discussed. This paper presents an overview of the progress and application of spectroscopy techniques for the detection of foodborne pathogens, particularly new trends in the past few years, including surface-enhanced Raman spectroscopy, surface plasmon resonance, fluorescence spectroscopy, multiangle laser light scattering, and imaging analysis. In addition, the applications of artificial intelligence, microfluidics, smartphone-based techniques, and advanced materials related to spectroscopy for the detection of bacterial pathogens are discussed. Finally, we conclude and discuss possible research prospects in aspects of spectroscopy techniques for the identification and classification of pathogens.

Pathogens and Pathogenesis in Wheezing Diseases in Children Under 6.

Few studies have comprehensively assessed the roles of cytokine production in wheezing pathogenesis. Therefore, we undertook this study to determine the association between wheezing episodes and cytokines, and to provide further information on this topic. Firstly, we retrospectively collected I176 children, including 122 subjects with first wheezing and 54 subjects with recurrent wheezing, to analyze the etiology and clinical characteristics of children with wheezing diseases. Then, we collected 52 children with wheezing diseases and 25 normal controls to detect the expression of interferon-γ (IFN-γ), interleukin-4 (IL-4), IFN-γ/IL-4, IL-17A, IL-17E, IgE, matrix metalloproteinase-3 (MMP-3), and MMP-9 in serum or plasma. The results showed that boys under 3 years old with history of allergies were more likely to develop wheezing diseases. In our cohort, M. pneumoniae caused a greater proportion of wheezing in children than expected. The expression of IgE [18.80 (13.65-31.00) vs. 17.9 (10.15-21.60)], IL-4 [24.00 (24.00-48.00) vs. 23.00 (9.50-27.00)], IFN-γ [70.59 (41.63-116.46) vs. 49.83 (29.58-81.74)], MMP3 [53.40 (20.02-128.2) vs. 30.90 (13.80-50.95)], MMP9 [148.10 (99.30-276.10) vs. 122.10 (82.20-162.35)], IL-17A [80.55 (54.46-113.08) vs. 61.11 (29.43-93.87)], and IL-17E [1.75 (0.66-2.77) vs. 1.19 (0.488-2.1615)] were significantly increased in the wheezing group (p<0.05) compared to normal controls, while the level of IFN-γ/IL-4 had no significant difference between the two groups (1.24 ± 1.88 vs 0.68 ± 0.74, p>0.05). There was altered cytokine production in children with wheezing diseases which was quite similar to asthma pathogenesis. Sex, age, pathogen infection, and inflammation in our study were also risk factors for wheezing diseases.

Tuberous sclerosis complex with skin lesions as the initial presentation: A case report and multidisciplinary discussion. / 1例以皮肤损害为首发症状的结节性硬化症并多学科讨论.

We reported a case of tuberous sclerosis complex with facial angiofibroma as the initial presentation and conducted a multidisciplinary discussion. The patient, a young female, was admitted to the Department of Dermatology for cosmetic purpose. After the examination, she was found to have multiple system involvement, including a large renal angiomyolipoma pressing on the liver. She never had any subjective symptom. After consultation by the multidisciplinary team of tuberous sclerosis complex, the patient was treated with everolimus orally and followed up regularly. It is suggested that dermatologists should pay attention to the systemic involvement of patients with tuberous sclerosis complex. Early intervention can prolong the life of patients and improve their life quality. Multidisciplinary collaboration for lifelong disease management is the key to enhance the diagnosis and treatment for tuberous sclerosis complex and enhance the prognosis of patients.

How do environmental protection expenditure and green technology innovation affect synergistically the financial performance of heavy polluting enterprises? Evidence from China.

In recent years, economic growth has caused an increasing number of environmental problems in China. In order to achieve the goal of carbon peak on schedule, enterprises need to accelerate green transformation and upgrading. Environmental protection expenditure and green technology innovation are important means of corporate environmental governance strategy, but it is unknown whether they can promote the sustainable development of enterprises. Therefore, this article will analyze the effect of enterprise environmental protection expenditure and green technology innovation on financial performance. Based on relevant theories, this study builds a theoretical model to demonstrate how enterprise environmental protection expenditure and green technology innovation can affect the financial performance of heavy polluting enterprises. Empirical tests are carried out using 293 heavy polluting enterprises in China as the sample. The results reveal that: (i) Enterprise environmental protection expenditure has significant negative effects on current enterprise financial performance, while green technology innovation can significantly promote enterprise financial performance. (ii) When the lag period is two periods, the enterprise environmental protection expenditure and green technology innovation have positive effects on enterprise financial performance respectively, and the effects are the most significant. (iii) Enterprise environmental protection expenditure and green technology innovation synergistically promote enterprise financial performance in the current period, and the impact has a lag effect. (iv) In state-owned enterprises and enterprises with higher corporate governance level, the synergetic promotion effect of environmental protection expenditure and green technology innovation on enterprise financial performance is more significant. Finally, this study provides suggestions for promoting the transformation and upgrading of heavy polluting enterprises and achieving sustainable development from the perspectives of the government, enterprises and the public.

Coating Silica Layer on Fe3O4 Magnetic Nanoparticles and Application in Extracting High Quality Nucleic Acids from Blood Sample.

The given research revealed that the size of Fe3O4 magnetic nanoparticles (MNPs) could be controlled by varying the pre-mixing conditions in the solvothermal method. Scanning electron microscopy (SEM) showed that the size of the MNPs gradually increased with increasing the initial temperature at which reaction components were mixed while the reaction component's mixing time was kept constant. The smallest sized MNPs were achieved among the five treatments (25, 50, 75, 100, and 125 °C) when reaction components were mixed at 25 °C, while the larger sized MNPs were synthesized among the five treatments when reaction components were mixed at 125 °C. Then, Stöber method was followed for coating silica layer onto the MNPs. However, ammonium hydroxide was replaced with potassium hydroxide as a catalyst, which significantly increased the speed of silica coating onto MNPs. The Fourier transform infrared (FTIR) spectrometer revealed that the MNPs were successfully covered with silica in five minutes. FTIR spectra exhibited a peak about 1088.8 cm-1, which belonged to the asymmetry stretching vibration of Si-O-Si. Transmission electronic microscopy (TEM) analysis was conducted to confirm the presence of silica layer onto MNPs. Thus, potassium hydroxide was successfully employed as a catalyst for quick silica layer coating onto MNPs. Furthermore, these silica coated MNPs were used to extract high quality nucleic acids from blood sample.

Electrically injected GaN-on-Si blue microdisk laser diodes.

III-nitride blue microdisk laser diodes are highly desirable in emerging applications, such as augmented reality, virtual reality, and visible light communication. However, the electrically pumped blue microdisk lasers have been lagging for decades owing to weak optical confinement and large internal absorption loss. In this study, the waveguide layers and cladding layers were carefully engineered to enhance the optical confinement and reduce internal absorption loss. Therefore, the first electrically injected blue microdisk laser diodes grown on Si substrates have been successfully fabricated, and exhibited a resistor-capacitance-limited bandwidth of 24.1 GHz, showing highly promising applications in high-speed and large-modulation-bandwidth visible light communication.

A Study on the Impact of Institutional Pressure on Carbon Information Disclosure: The Mediating Effect of Enterprise Peer Influence.

Enterprises should bear the main responsibility for greenhouse gas emissions. Disclosing carbon emission information is one of the important ways for enterprises to deal with climate change. Taking China's A-share listed companies from 2014 to 2018 as the research sample, we study the impact of external explicit institutional pressure and implicit institutional pressure on corporate carbon information disclosure and analyze the mediating effect of enterprise peer influence in carbon disclosure. The empirical results show that external institutional pressure, namely environmental regulation and Confucian culture, has a significant positive impact on enterprise carbon information disclosure. Enterprise peer influence has a certain mediating effect between external institutional pressure and carbon information disclosure. The government should formulate and improve the carbon information disclosure institution and strengthen external supervision through the joint participation of all sectors of society.

Programmable Biosensors Based on RNA-Guided CRISPR/Cas Endonuclease.

Highly infectious illnesses caused by pathogens constitute severe threats to public health and lead to global economic loss. The use of robust and programmable clustered regularly interspaced short palindromic repeat and CRISPR-associated protein (CRISPR-Cas) systems, repurposed from genome-engineering applications has markedly improved traditional nucleic acid detection for precise identification, independently enabling rapid diagnostics of multiplex biomarker with genetic and mutation related to tumors, and microbial pathogens. In this review, we delineate the utility of the current CRISPR-Cas enzyme as biosensors by which these effector toolkits achieve recognition, signaling amplification, and finally, accurate detection. Additionally, we discuss the details of the dominance and hurdles related to expanding this revolutionary technology into an effective and convenient contraption crucial for improving the rational redesign to CRISPR/Cas biosensing. Overall, this review provides an insight into the current status of rapid and POC diagnostic systems by CRISPR/Cas tools.

Transcriptome analysis of the toxicity response of green macroalga Caulerpa lentillifera J. Agardh to high dissolved arsenite.

Arsenic (As) is a hazardous pollutant that negatively impacts the physiological functions of alga. So far, a detailed understanding of algal response to As stress is still lacking. In this study, a transcriptome analysis was performed to illustrate the toxicity response of Caulerpa lentillifera J. Agardh, an edible algae with rich nutrition, to arsenite [As(III)], a toxic form of As. Totally, 1913 differentially expressed genes (DEGs) were screened, of which 642 were up- and 1271 were downregulated in C. lentillifera under As(III) stress (30 mg·L-1) compared with control. As(III) stress promoted the growth of C. lentillifera at low concentration (0.1 mg·L-1) and inhibited the growth at high concentration (≥ 0.5 mg·L-1). Multiple DEGs involved in oxidoreductase activities were significantly affected by As(III), and several DEGs related to antioxidant enzyme activity were downregulated, resulting in suffering from oxidative stress in C. lentillifera. Results also showed that As(III) stress inhibited chlorophyll and carotenoid synthesis, destroyed the integrity of chloroplasts, and interfered with the absorption of light energy, thereby inhibiting photosynthesis in C. lentillifera. The highly enriched ABC transporter-related genes involved in the detoxification process were upregulated under As(III) stress, indicating their critical role in the resistance to As stress in C. lentillifera. The gene expressions for 10 selected DEGs were confirmed by qRT-PCR, showing the reliability of the data revealed by RNA sequencing. Our novel work illustrated the toxicity of C. lentillifera under As(III) stress at the molecular level, serving as a basis for future investigations on the prevention and treatment of such pollutants.

Rapid detection of Pseudomonas aeruginosa based on lab-on-a-chip platform using immunomagnetic separation, light scattering, and machine learning.

The rapid detection of the pathogenic bacteria in patient samples is crucial to expedient patient care. The proposed approach reports the development of a novel lab-on-a-chip device for the rapid detection of P. aeruginosa based on immunomagnetic separation, optical scattering, and machine learning. The immunomagnetic particles with a diameter of 5 µm were synthesized for isolating P. aeruginosa from the test sample. A microfluidic chip was fabricated, and three optical fibers were embedded for connecting a laser light and two photodetectors. The laser light was pointed towards the channel to pass light through the sample. A pair of photodetectors via optical fibers were arranged symmetrically at 45° to the channel. The photodetectors acquired scattered light from the flowing sample and converted the light to an electrical signal. The sample containing immunomagnetic beads linked with bacteria was injected into the microfluidic chip. The optimized conditions for performing the experiments were characterized for real-time detection of P. aeruginosa. The data acquisition system recorded the real-time light scattering from the test sample. After removing noise from the output waveform, five different time-domain statistical features were extracted from each waveform: standard mean, standard variance, skewness, kurtosis, and coefficient of variation. The pathogens classification was performed by training the discrimination model using extracted features based on machine learning algorithms. The support vector machines (SVM) with a sigmoid function kernel showed superior classification performance with 97.9% accuracy among other classifiers, including k-nearest neighbors (KNN), logistic regression (LR), and naïve Bayes (NB). The method can detect P. aeruginosa specifically and quantitatively with a limit of detection of 102 CFU/mL. The device can classify P. aeruginosa within 10 min with a total assay time of 25 min. The device was used to test its ability to detect pathogen from the serum and sputum specimens spiked with 105 CFU/mL concentration of P. aeruginosa. The results indicate that light scattering combined with machine learning can be used to detect P. aeruginosa. The proposed technique is anticipated to be helpful as a rapid device for diagnosing P. aeruginosa related infections.

[Effects of heavy metal cadmium on Caulerpa lentillifera based on transcriptome analysis]. / 基于转录组分析重金属镉对长茎葡萄蕨藻的影响.

With the acceleration of industrialization, the toxic effect of heavy metal cadmium (Cd) pollution has become prominent. In order to explore the molecular mechanism of the physiological regulation of Caulerpa lentillifera under Cd stress, we analyzed the transcriptome of Cd-stressed (Hcd2+) algae tissues using RNA-Seq. A total of 702 differentially expressed genes (DEGs) were screened between the control and Hcd2+ groups, out of which 257 genes were up-regulated and 445 genes were down-regulated in the Hcd2+ group. We conducted functional annotation and enrichment analysis of the obtained DEGs. The results showed that various biological functions of C. lentillifera were affected under Cd2+stress, which eventually showed growth inhibition. Results of GO enrichment analysis showed that the production and removal of reactive oxygen species (ROS) in C. lentillifera were out of balance and caused oxidative damage such as DNA damage. Results of KEGG enrichment analysis showed that many photosynthesis-related pathways were inhibited, indicating that Cd2+ stress led to disorder of photosynthetic reaction of C. lentillifera.

Narrow-Linewidth GaN-on-Si Laser Diode with Slot Gratings.

This letter reports room-temperature electrically pumped narrow-linewidth GaN-on-Si laser diodes. Unlike conventional distributed Bragg feedback laser diodes with hundreds of gratings, we employed only a few precisely defined slot gratings to narrow the linewidth and mitigate the negative effects of grating fabrication on the device performance. The slot gratings were incorporated into the ridge of conventional Fabry-Pérot cavity laser diodes. A subsequent wet etching in a tetramethyl ammonium hydroxide solution not only effectively removed the damages induced by the dry etching, but also converted the rough and tilted slot sidewalls into smooth and vertical ones. As a result, the threshold current was reduced by over 20%, and the reverse leakage current was decreased by over three orders of magnitude. Therefore, the room-temperature electrically pumped narrow-linewidth GaN-on-Si laser diode has been successfully demonstrated.

ß-Cyclodextrin-grafted hyaluronic acid as a supramolecular polysaccharide carrier for cell-targeted drug delivery.

ß-Cyclodextrin (ß-CD) was grafted onto hyaluronic acid (HA) in a single step to generate a supramolecular biopolymer (HA-ß-CD) that was explored for targeted drug delivery applications. Along with its excellent biocompatibility, the prepared HA-ß-CD exhibits not only exceptionally high loading capacity for the model drugs doxorubicin and Rhodamine B through the formation of inclusion complexes with the ß-CD component, but also the capability of targeted drug delivery to cancerous cells with a high level of expression of CD44 receptors, attributable to its HA component. The polymer can release the drug under slightly acidic conditions. With all its attributes, HA-ß-CD may be a promising cancer-cell-targeting drug carrier.

Activation of buried p-GaN through nanopipes in large-size GaN-based tunnel junction LEDs.

In GaN-based light-emitting diodes (LEDs), tunnel junctions offer a way of replacing the highly resistive p-type GaN (p-GaN) ohmic contact with a low-resistance n-GaN ohmic contact. However, the p-GaN would be re-passivated by hydrogen atoms during the subsequent growth of n-GaN in a metal-organic chemical vapor deposition (MOCVD) chamber. The n-GaN layer, acting as a hydrogen diffusion barrier, hinders the thermal activation of the underlying p-GaN. Here, we report a method to thermally activate the buried p-GaN in tunnel junction LED (TJ-LED) through vertically aligned nanopipe arrays across the top n-GaN layer, which provides a hydrogen outgassing passage. The fabrication of nanopipes is realized via inductive coupled plasma etching using a mask prepared by self-assembled nanosphere arrays. As a result, we attain large-size TJ-LED chips, exhibiting nearly equivalent p-GaN activation and superior light extraction compared to conventional LEDs. Specifically, the light extraction efficiency is boosted by 44% relative to conventional LEDs at an injection current density of 100 A cm-2.

Transcriptome sequencing and metabolite analysis reveal the toxic effects of nanoplastics on tilapia after exposure to polystyrene.

Plastic particles, which are formed from routinely used plastics and their fragments, have become a new pollutant raising widespread concern about their potential effects. Several studies have been conducted to examine their toxicity, but the effects of nano-sized plastic fragments on freshwater organisms remain largely unclear and need to be further investigated. In this study, larval tilapia were first exposed to 100 nm polystyrene nanoparticles (PS-NPs, 20 mg/L) for seven days and then returned to freshwater without PS-NPs for another seven days in order to determine the toxic effects of PS-NPs at both transcriptomic and metabolomic levels. A total of 203 significantly changed metabolites, and 2,152 differentially expressed unigenes were identified between control and PS-NP treatment groups, control and recovery groups, as well as treatment and recovery groups. Our data suggested that PS-NPs induced abnormal metabolism of glycolipids, energy, and amino acids in tilapia after short-term exposure. Additionally, PS-NPs caused disturbed signaling, as suggested by the transcriptomic results. Different transcriptomic and metabolomic levels between the treatment group and recovery group indicated a persistent impact of PS-NPs on tilapia. The presence of adhesion molecule-related differentially expressed genes (DEGs) suggested that PS-NPs might cause early inflammatory responses. Notably, the detection of chemical stimulus involved in the sensory perception of smell was the most severely impacted biological process. Our work systemically studied the ecotoxicity of nano-sized plastics in aquatic creatures at the molecular and genetic levels, serving as a basis for future investigations on the prevention and treatment of such pollutants.