Unraveling Intracellular Protein Corona Components of Nanoplastics via Photocatalytic Protein Proximity Labeling.

Bioaccumulation of nanoplastic particles has drawn increasing attention regarding environmental sustainability and biosafety. How nanoplastic particles interact with the cellular milieu still remains elusive. Herein, we exemplify a general approach to profile the composition of a "protein corona" interacting with nanoparticles via the photocatalytic protein proximity labeling method. To enable photocatalytic proximity labeling of the proteome interacting with particles, iodine-substituted BODIPY (I-BODIPY) is selected as the photosensitizer and covalently conjugated onto amino-polystyrene nanoparticles as a model system. Next, selective proximity labeling of interacting proteins is demonstrated using I-BODIPY-labeled nanoplastic particles in both Escherichia coli lysate and live alpha mouse liver 12 cells. Mechanistic studies reveal that the covalent modifications of proteins by an aminoalkyne substrate are conducted via a reactive oxygen species photosensitization pathway. Further proteomic analysis uncovers that mitochondria-related proteins are intensively involved in the protein corona, indicating substantial interactions between nanoplastic particles and mitochondria. In addition, proteostasis network components are also identified, accompanied by consequent cellular proteome aggregation confirmed by fluorescence imaging. Together, this work exemplifies a general strategy to interrogate the composition of the protein corona of nanomaterials by endowing them with photooxidation properties to enable photocatalytic protein proximity labeling function.

Oil-film extinction coefficient inversion based on thickness difference: erratum.

An erratum is presented to correct errors in Eqs. (2) and (3) in our previously published paper [Opt. Express30(17), 30368 (2022).10.1364/OE.461162].

Chemical sensors detect and resolve proteome aggregation in peripheral neuropathy cell model induced by chemotherapeutic agents.

As a consequence of somatosensory nervous system injury or disease, neuropathic pain is commonly associated with chemotherapies, known as chemotherapy-induced peripheral neuropathy (CIPN). However, the mechanisms underlying CIPN-induced proteome aggregation in neuronal cells remain elusive due to limited detection tools. Herein, we present series sensors for fluorescence imaging (AggStain) and proteomics analysis (AggLink) to visualize and capture aggregated proteome in CIPN neuronal cell model. The environment-sensitive AggStain imaging sensor selectively binds and detects protein aggregation with 12.3 fold fluorescence enhancement. Further, the covalent AggLink proteomic sensor captures cellular aggregated proteins and profiles their composition via LC-MS/MS analysis. This integrative sensor platform reveals the presence of proteome aggregation in CIPN cell model and highlights its potential for broader applications in assessing proteome stability under various cellular stress conditions.

Atmospheric Light Estimation Using Polarization Degree Gradient for Image Dehazing.

A number of image dehazing techniques depend on the estimation of atmospheric light intensity. The majority of dehazing algorithms do not incorporate a physical model to estimate atmospheric light, leading to reduced accuracy and significantly impacting the effectiveness of dehazing. This article presents a novel approach for estimating atmospheric light using the polarization state and polarization degree gradient of the sky. We utilize this approach to enhance the outcomes of image dehazing by applying it to pre-existing dehazing algorithms. Our study and development of a real-time dehazing system has shown that the approach we propose has a clear advantage over previous methods for estimating ambient light. After incorporating the proposed approach into existing defogging methods, a significant improvement in the effectiveness of defogging was noted through the assessment of various criteria such as contrast, PSNR, and SSIM.

Tailoring the Amphiphilicity of Fluorescent Protein Chromophores to Detect Intracellular Proteome Aggregation in Diverse Biological Samples.

The formation of amorphous misfolded and aggregated proteins is a hallmark of proteome stress in diseased cells. Given its lack of defined targeting sites, the rational design of intracellular proteome aggregation sensors has been challenging. Herein, we modulate the amphiphilicity of fluorescent protein chromophores to enable selective detection of aggregated proteins in different biological samples, including recombinant proteins, stressed live cells, intoxicated mouse liver tissue, and human hepatocellular carcinoma tissue. By tuning the number of hydroxyl groups, we optimize the selectivity of fluorescent protein chromophores toward aggregated proteins in these biological samples. In recombinant protein applications, the most hydrophobic P0 (cLogP = 5.28) offers the highest fold change (FC = 31.6), sensitivity (LLOD = 0.1 µM), and brightness (Φ = 0.20) upon binding to aggregated proteins. In contrast, P4 of balanced amphiphilicity (cLogP = 2.32) is required for selective detection of proteome stresses in live cells. In mouse and human liver histology tissues, hydrophobic P1 exhibits the best performance in staining the aggregated proteome. Overall, the amphiphilicity of fluorescent chromophores governs the sensor's performance by matching the diverse nature of different biological samples. Together with common extracellular amyloid sensors (e.g., Thioflavin T), these sensors developed herein for intracellular amorphous aggregation complement the toolbox to study protein aggregation.

Discussion on the benefits of different treatment strategies in elderly and non-elderly patients with appendix MiNEN: a retrospective study based on SEER database.

PURPOSE: To investigate the benefits of surgery alone and postoperative chemotherapy in elderly and non-elderly patients with appendiceal mixed neuroendocrine non-neuroendocrine neoplasms (MiNENs) and analyze the factors affecting the prognosis of patients with MiNEN of the appendix. METHODS: Based on the Surveillance, Epidemiology, and End Results database (SEER) of the National Cancer Institute of the USA, 389 patients with appendiceal MiNENs from 2000 to 2016 were collected. All patients were distributed in the elderly group (≥ 60 years old) and the non-elderly group (< 60 years old) according to their age. The prognosis of the two groups of patients who received simple surgery and postoperative chemotherapy was analyzed and compared. The two treatment methods of the two tranches were matched by propensity score matching method. The effect of different treatment ways on the prognosis of sick persons was compared. The survivorship curves were painted by the Kaplan Meier method, log rank test was used to analyze the subsistence discrepancy of each group, and COX proportional risk model was used to analyze the factors affecting the prognosis of patients with appendiceal MiNENs. RESULTS: No matter the overall survival rate (OS) or cancer-specific mortality (CSM) of the two treatment schemes, the prognosis of patients in the only surgery group was meaningfully higher than that in the postoperative chemotherapy group, with statistically significant difference in component comparison (χ2 = 16.496, χ2 = 16.860, P < 0.001). After propensity score matching of patients in each group, there was no striking discrepancy in the OS of patients in the only surgery group compared with those in the postoperative chemotherapy group, regardless of whether they were elderly patients or non-elderly patients (χ2 = 3.205, χ2 = 1.521, all P > 0.05), the CSM consequences are fitting in with the OS. The consequences of the multivariate COX regression model showed that age (≥ 60 years old), sex (female), high histological grade, and lymph node positive were all the influencing factors for the poor OS of patients with MiNEN; the CSM results are consistent with the OS. CONCLUSION: For patients with appendix MiNEN, whether elderly or non-elderly patients (especially for non-elderly patients), surgical treatment may be a better choice.

Plastic nanoparticles cause proteome stress and aggregation by compromising cellular protein homeostasis ex vivo and in vivo.

Decomposition of plastic materials into minuscule particles and their long-term uptake pose increasing concerns on environmental sustainability and biosafety. Besides common cell viability and cytotoxicity evaluations, how plastic nanoparticles interfere with different stress response pathways and affect cellular fitness has been less explored. Here, we provided the first piece of evidence to demonstrate plastic nanoparticles potentially can deteriorate proteome stability, compromise cellular protein homeostasis, and consequently cause global proteome misfolding and aggregation. Polystyrene (PS) nanoparticles of different sizes and surface charges were exploited as model plastic materials. In cell lysate and human blood plasma, naked PS nanoparticles with hydrophobic surface deteriorated proteome thermodynamic stability and exaggerated its aggregation propensity. While no cell viability ablation was observed in cells treated with PS nanoparticles up to 200 µg·mL-1, global proteome aggregation and stress was detected by a selective proteome aggregation sensor. Further proteomics analysis revealed how protein homeostasis network was remodeled by positively charged PS nanoparticles via differential expression of key proteins to counteract proteome stress. In mice model, size-dependent liver accumulation of positively charged PS nanoparticles induced hepatocellular proteome aggregation and compromised protein homeostasis network capacity that were invisible to standard alanine transaminase and aspartate transaminase (ALT/AST) liver function as-say and histology. Meanwhile, long-term liver accumulation of plastic nanoparticles deteriorated liver metabolism and saturated liver detoxification capacity of overdosed acetaminophen. This work highlighted the impact of nanoplastics on cellular proteome integrity and cellular fitness that are invisible to current biochemical assays and clinical tests.

An investigation on information quality, media richness, and social media fatigue during the disruptions of COVID-19 pandemic.

Mobile social platforms have become a valuable information source by which users gain information about the COVID-19 pandemic. However, little is known about whether users have experienced increased daily fatigue as a result of the disruptions caused by pandemic. Drawing on the cognitive activation theory of stress (CATS), this study proposed that two typical characteristics of social media platforms (SMP), information quality and media richness, are associated with event disruptions of the COVID-19 pandemic (EDC), and then induce social media fatigue. To address this, this study used the experience sampling method (ESM), collecting 550 matched cases from 110 users of the WeChat application in mainland China over five consecutive days. Through multilevel structural equation modeling (MSEM), this study discovered three main findings: (1) daily information quality is negatively related to event disruptions of the COVID-19 pandemic, which in turn decreases daily social media fatigue; (2) daily media richness is positively associated with such event disruptions, which ultimately increases daily social media fatigue; (3) these effects were stronger for users who reported higher (vs. lower) levels of health consciousness. The implications of these results for the COVID-19 pandemic and beyond are discussed.

Circ_TLK1 knockdown alleviates oxygen-glucose deprivation/reoxygenation-induced PC12 cell injury by regulating microRNA-136-5p/follistatin like-1 axis.

BACKGROUND: Circular RNAs (circRNAs) are aberrantly expressed in the central nervous system (CNS) and are involved in diverse CNS diseases. However, the functions of circRNAs in ischemic stroke (IS) are largely unknown. In this study, we aimed to explore the effect of circ_TLK1 in oxygen-glucose deprivation/reoxygenation (OGD/R)-induced PC12 cell injury. METHODS: Quantitative real-time polymerase chain reaction (qRT-PCR) was performed for the levels of circ_TLK1, TLK1, microRNA-136-5p (miR-136-5p), and follistatin like-1 (FSTL1). RNase R and Actinomycin D assays were conducted to analyze the features of circ_TLK1. 3-(4, 5-ethynyl-2'-deoxyuridine [EdU] assay and 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2-H-tetrazolium bromide (MTT) assay were adopted to analyze cell proliferation capacity. Flow cytometry analysis was applied to determine cell death. Western blot assay was employed to measure protein levels. The release of lactate dehydrogenase (LDH) was measured with specific kits. The interaction between circ_TLK1 and miR-136-5p, as well as miR-136-5p and FSTL1, was verified by Dual-luciferase reporter assay. RESULTS: Circ_TLK1 was upregulated in OGD/R-injured PC12 cells. OGD/R treatment inhibited cell proliferation, promoted cell death, and increased LDH release in PC12 cells, while circ_TLK1 knockdown partially alleviated OGD/R-induced PC12 cell injury. Circ_TLK1 directly bound to miR-136-5p and miR-136-5p inhibition reversed the effect of circ_TLK1 knockdown on OGD/R-induced PC12 cell damage. Moreover, FSTL1 was targeted by miR-136-5p. MiR-136-5p upregulation inhibited PC12 cell injury induced by OGD/R, while FSTL1 overexpression partially reversed the effect. CONCLUSION: Circ_TLK1 knockdown ameliorated OGD/R-induced PC12 cell injury by modulating miR-136-5p and FSTL1, which might provide a new understanding of IS treatment.

Oil-film extinction coefficient inversion based on thickness difference.

The extinction coefficient of oil films on the sea surface was inversion using a physical model based on two-beam interference and the equal-thickness difference method. The coefficient is simplified to a quadratic equation in one variable related to oil-film thickness and incident angle and wavelength of light. Through a laboratory-simulated oil spill experiment, the reflectivities of oil films of different thicknesses were obtained. The extinction coefficients of the oil film under visible light were inversion. The model considered the light beam on the oil-film surface and effects of scattering properties and photon attenuation of the oil film on spectral reflectance.

Improved spectral reflectance model of oil films on seawater based on two-beam interference theory.

The theoretical properties of electromagnetic transmission and radiation of light are combined with the propagation law of light in a uniform medium and the Fresnel formula to provide an improved two-beam interference model for simulating oil spills. This model enables the study of spectral reflectance under different thicknesses and different illumination angles. Through observation and analysis of simulation results, it is found that light waves reflected at the interface of water and oil films and of oil films and air oscillate due to interference. In order to overcome this problem, solar irradiance is simulated and multiplied with the reflection model to obtain the outgoing illuminance values at different wavelengths, which are convoluted with the slit function of the hyperspectral camera. The processed results are compared with incoming illuminance values to obtain new simulation results. In addition, based on portable hyperspectral imagery and imported xenon lamp light sources and other experimental equipment, indoor simulated oil spill experiments were conducted. By comparing and analyzing the results of these simulations, the accuracy of the improved model was further improved, demonstrating the feasibility and utility of the model in studying oil spills at water surfaces.

A diary study of impulsive buying during the COVID-19 pandemic.

The purpose of this paper is to explore why impulsive buying happens under emergency and crisis situations, such as that of COVID-19. Drawing on the cognitive-affective personality system theory (CAPS), we tested the dynamic influence of daily perceived uncertainty on COVID-19 on daily impulsive buying via daily information overload and daily information anxiety in a two-wave experience sampling method (ESM) design. Through a multilevel structural equation model (MSEM) analysis, we found that the daily perceived uncertainty on COVID-19 affected daily information overload, which in turn stimulated daily information anxiety, ultimately determining the daily impulsive buying. Namely, daily information overload and daily information anxiety played a complete chain-mediating role between the daily perceived uncertainty on COVID-19 and daily impulsive buying. The present paper is the first to uncover the important dynamic effect of the perceived uncertainty on COVID-19 on impulsive buying with diary data. Specific implications of these findings are discussed.

Circ_PGPEP1 Serves as a Sponge of miR-1297 to Promote Gastric Cancer Progression via Regulating E2F3.

BACKGROUND: Circular RNA (circRNA) is a special kind of noncoding RNA that plays a vital function in the progression of gastric cancer (GC). However, the role of a new circRNA, circ_PGPEP1, in GC is unclear. AIMS: Exploring the role and mechanism of circ_PGPEP1 in GC progression. METHODS: The expression levels of circ_PGPEP1, miR-1297, and E2F transcription factor 3 (E2F3) were determined using quantitative real-time PCR. Flow cytometry, colony formation assay, MTT assay, and transwell assay were used to evaluate cell cycle, apoptosis, proliferation, migration, and invasion. The protein levels of apoptosis-related markers and E2F3 were measured by western blot analysis. The interaction between circ_PGPEP1 and miR-1297 or miR-1297 and E2F3 was confirmed by dual-luciferase reporter assay. In addition, animal experiments were performed to assess the effect of circ_PGPEP1 on GC tumor growth in vivo. RESULTS: Circ_PGPEP1 was a highly expressed circRNA in GC. Loss-of-function experiment indicated that circ_PGPEP1 silencing could induce cell cycle arrest and apoptosis, while inhibit proliferation, migration, and invasion in GC cells. MiR-1297 could be sponged by circ_PGPEP1, and its expression was downregulated in GC. MiR-1297 inhibitor could reverse the negatively regulation of circ_PGPEP1 knockdown on GC progression. Furthermore, we also found that E2F3 could be targeted by miR-1297, and its expression was positively regulated by circ_PGPEP1. Overexpression of E2F3 could invert the inhibitory effect of miR-1297 on GC progression. Animal experiments suggested that silenced circ_PGPEP1 could reduce GC tumor growth. CONCLUSION: Our research showed that circ_PGPEP1 might serve as a potential biomarker for GC.

Information quality, media richness, and negative coping: A daily research during the COVID-19 pandemic.

For most mobile technology users, social media platforms are their main source of information about the COVID-19 pandemic. Using the stimulus-organism-response model, this study proposes that information quality and media richness are related to social media fatigue, which induces negative coping with the COVID-19 pandemic. The moderating roles of health consciousness and COVID-19-induced strain are also examined. The data were collected from 108 users of WeChat using a daily experience sampling method and analyzed using multilevel structural equation modeling with Mplus. The results show that information quality significantly decreases social media fatigue, whereas media richness significantly increases social media fatigue, which is an outcome of negative coping. Health consciousness buffers the indirect effect of information quality on negative coping through social media fatigue, whereas COVID-19-induced strain strengthens the indirect effect of media richness on negative coping through social media fatigue. These findings enrich the literature on social media fatigue and negative coping by revealing the informational and technical causes of these issues at the episode level in the period of the COVID-19 pandemic.

Multi-Frame Star Image Denoising Algorithm Based on Deep Reinforcement Learning and Mixed Poisson-Gaussian Likelihood.

Mixed Poisson-Gaussian noise exists in the star images and is difficult to be effectively suppressed via maximum likelihood estimation (MLE) method due to its complicated likelihood function. In this article, the MLE method is incorporated with a state-of-the-art machine learning algorithm in order to achieve accurate restoration results. By applying the mixed Poisson-Gaussian likelihood function as the reward function of a reinforcement learning algorithm, an agent is able to form the restored image that achieves the maximum value of the complex likelihood function through the Markov Decision Process (MDP). In order to provide the appropriate parameter settings of the denoising model, the key hyperparameters of the model and their influences on denoising results are tested through simulated experiments. The model is then compared with two existing star image denoising methods so as to verify its performance. The experiment results indicate that this algorithm based on reinforcement learning is able to suppress the mixed Poisson-Gaussian noise in the star image more accurately than the traditional MLE method, as well as the method based on the deep convolutional neural network (DCNN).

Experimental and Simulation Research on Femtosecond Laser Induced Controllable Morphology of Monocrystalline SiC.

Silicon carbide (SiC) is utilized in the automotive, semiconductor, and aerospace industries because of its desirable characteristics. Nevertheless, the traditional machining method induces surface microcracks, low geometrical precision, and severe tool wear due to the intrinsic high brittleness and hardness of SiC. Femtosecond laser processing as a high-precision machining method offers a new approach to SiC processing. However, during the process of femtosecond laser ablation, temperature redistribution and changes in geometrical morphology features are caused by alterations in carrier density. Therefore, the current study presented a multi-physics model that took carrier density alterations into account to more accurately predict the geometrical morphology for femtosecond laser ablating SiC. The transient nonlinear evolutions of the optical and physical characteristics of SiC irradiated by femtosecond laser were analyzed and the influence of laser parameters on the ablation morphology was studied. The femtosecond laser ablation experiments were performed, and the ablated surfaces were subsequently analyzed. The experimental results demonstrate that the proposed model can effectively predict the geometrical morphology. The predicted error of the ablation diameter is within the range from 0.15% to 7.44%. The predicted error of the ablation depth is within the range from 1.72% to 6.94%. This work can offer a new way to control the desired geometrical morphology of SiC in the automotive, semiconductor, and aerospace industries.

Effect of intubation in lateral position on placement of a double-lumen tube in patients undergoing unilateral video-assisted thoracic surgery: a randomied clinical trial.

Background: Approximately one-third of patients who undergo double-lumen tube (DLT) intubation in the conventional supine position experience DLT malposition. No randomized study investigates the effect of DLT intubation in the lateral position. We therefore aimed to evaluate the effect of intubation in lateral position on placement of a DLT compared to supine intubation, and to test primary hypothesis that lateral DLT intubation could reduce the incidence of DLT malposition. Methods: We randomly allocated 108 patients undergoing video-assisted thoracic surgery to receive DLT intubation in the comfortable and surgically required lateral position (lateral group) or in the supine position (supine group) from October to December 2022. The primary outcome was the incidence of DLT malposition defined as movement >1.0 cm to correct the DLT position. The secondary outcomes included intubation time, the frequency and duration of fibreoptic bronchoscopy, the need for re-intubation, intra-operative vital signs, and post-operative recovery. This trial is registered with the Chinese Clinical Trial Registry (ChiCTR2200060794). Findings: The incidence of DLT malposition was significantly lower in the lateral group (1/53 [2%]) than that in the supine group (16/53 [30%]; RR [95% confidence interval] of 0.06 [0.01-0.46]; P < 0.001). Lateral DLT intubation decreased the intubation time, the frequency and duration of fibreoptic bronchoscopy. The incidence of hypotension, post-operative sore throat, and upper-arm discomfort was lower in the lateral group. Other secondary outcomes were similar between groups. Interpretation: Lateral DLT intubation reduced the incidence of DLT malposition for patients undergoing video-assisted thoracic surgery. These results support that lateral DLT intubation offers more benefits and may be a superior option compared to conventional supine intubation. Funding: National Natural Science Foundation of China and of Zhejiang Province.

Effect of ultrasound-guided continuous erector spinae plane block on postoperative pain and inflammatory response in patients undergoing modified radical mastectomy for breast cancer: study protocol for a randomised controlled trial.

BACKGROUND: A single injection of local anaesthetic (LA) in the erector spinae plane block (ESPB) can reduce pain after modified radical mastectomy (MRM) surgery, but the duration of analgesia is affected by the duration of the LA. The aim of this study is to investigate the effect of continuous ESPB on acute and chronic pain and inflammatory response after MRM surgery. METHODS: In this prospective, randomised, controlled trial, we will recruit 160 patients, aged 18-80 years, scheduled for elective MRM surgery under general anaesthesia. They will be randomly assigned to two groups: a continuous ESPB group (group E) and a sham block group (group C). Both groups of patients will have a nerve block (group C pretended to puncture) and an indwelling catheter fixed prior to surgery. Electronic pumps containing LA are shielded. The primary outcome is the total consumption of analgesic agents. The secondary outcomes include the levels of inflammation-related cytokines; the occurrence of chronic pain (post-mastectomy pain syndrome, PMPS); static and dynamic pain scores at 2, 6, 12, 24 and 48 h postoperatively; and post-operative and post-puncture adverse reactions. DISCUSSION: Analgesia after MRM surgery is important and chronic pain can develop when acute pain is prolonged, but the analgesic effect of a nerve block with a single injection of LA is limited by the duration of drug action. The aim of this trial is to investigate whether continuous ESPB can reduce acute pain after MRM surgery and reduce the incidence of chronic pain (PMPS), with fewer postoperative analgesic drug-related complications and less inflammatory response. Continuous ESPB and up to 12 months of follow-up are two innovations of this trial. TRIAL REGISTRATION: Chinese Clinical Trial Registry ( https://www.chictr.org.cn/ ) ChiCTR2200061935. Registered on 11 July 2022. This trial is a prospective registry with the following registry names: Effect of ultrasound-guided continuous erector spinae plane block on postoperative pain and inflammatory response in patients undergoing modified radical mastectomy for breast cancer.

Helping others but Hurting Yourself? The underlying mechanism linking helping behavior to task performance.

Helping behavior positively influences organizational effectiveness, which is why the importance of this behavior is highlighted in Chinese enterprises, and employees are encouraged to engage in it. However, from an actor-centric perspective, helping behavior is not always beneficial. In this paper, cognitive-affective personality system theory is applied to link helping behavior to task performance, thus enhancing the understanding of the effects of helping behavior. By adopting a two-wave questionnaire survey, data from 202 leader-subordinate dyads were gathered. Then, the BruceR (V0.7.2) package of Rstudio (V4.1.1) was used to generate a multi-mediated moderation model and test the hypotheses. The following results were obtained: 1) Helping behavior was negatively associated with task performance. 2) Cognitive irritation and emotional exhaustion serially mediated the influences of helping behavior on task performance. 3) Team-level communal goal striving moderated the indirect influence of helping behavior on task performance; the indirect influence was only significant when the levels of team communal goal striving were low. From an actor-centric perspective, this paper presents evidence for the connection between helping behavior and task performance. Numerous implications for management approaches are presented to maximize the management of helping behavior.

Integrated Imaging and Proteomic Sensors Resolve Proteome Aggregation in Liver Caused by Non-steroidal Anti-inflammatory Drug Overdose.

Given the extreme heterogeneity and the loss of defined protein structures, misfolded and aggregated proteins are technically challenging to visualize and analyze. Herein, we assembled an integrated sensor system to resolve aggregated proteome in live cells and animal liver tissues that are overdosed by non-steroidal anti-inflammatory drugs (NSAIDs). A fluorogenic protein aggregation sensor (AggStain) first discovered the presence of aggregated proteome upon overdosing liver cells with NSAIDs. A solvatochromic protein aggregation sensor (AggRetina) further quantified the compactness (polarity) inside these cellular aggregates. Importantly, we exploited a proteomic sensor (AggLink) to selectively capture aggregated proteins upon NSAID overdose and profile their composition, revealing global collapse of cellular protein homeostasis. Finally, we detected subtle proteome aggregation in mouse liver tissue without obvious acute injury at a low NSAID dosage. Overall, we demonstrated an integrated sensor toolset for proteome aggregation studies and unveiled for the first time that NSAID overdose can cause proteome aggregation in liver cells and tissues.