In this study, the occurrence of 16 polycyclic aromatic hydrocarbons (PAHs) was investigated in 31 household dusts that were sampled from 27 areas located in 10 provinces, China. The total ...concentrations of PAHs (∑ PAHs) were in the range of 613–10,111 ng·g
−1
with a median of 2565 ng·g
−1
. The predominant PAHs were 2 to 3 ringed compounds, accounting for 85.3% of ∑ PAHs. The geographical location had little impact on the contents of PAHs. Higher concentrations of ∑ PAHs and individual homologues of PAHs except for naphthalene (NAP) were observed in rural areas, which is related to the higher usage of coal or biomass for cooking. Cooking method played a major role in contributing to the concentrations of PAHs. Both household cooking and petrogenic sources from outdoors were the primary sources of PAHs in household dust. Cancer risk assessment indicated that dermal contact and ingestion are the main exposure pathways to indoor residents. Furthermore, the average values of sum of incremental lifetime cancer risks (ILCRs) were 2.22 × 10
–7
for adults and 2.51 × 10
–7
for children, suggesting that there is a low health risk posed by PAHs in indoor dust. The contribution percentage of 4 to 6 rings PAHs to ILCRs was up to 96.3%, indicating that higher molecular weight PAHs in indoor dust, especially benzoapyrene (BaP) and dibenzoa,hanthracene (DahA), are major factors contributing to cancer risk.
•First EEG-eye tracking study on human visual attention in remote sensing image.•Participants were sensitive to hue and brightness in the target search stage.•Target size less than 3.9 % of the image ...causes more attention focused on distractors.•Temporal and parietal brain regions are crucial for target memory and discrimination.
Human visual attention is the basis of target recognition, change detection and classification in remote sensing images. However, the human visual attention of remote sensing images during target detection remains uninvestigated. In this study, we simultaneously collected eye tracking and electroencephalography (EEG) data of 40 experts during target detection in 1000 remote sensing images. We quantified their attention in different phases of target detection (i.e., target search, selection, and identification) from their eye movements and brain activities. The eye-tracking results indicated that hue and lightness were crucial visual features that guided visual search for remote sensing images. The size of the target also affected the allocation of human attention resources. Particularly, participants tended to miss the targets that were smaller than 3.9 % of the whole image area. The fixation event-related potentials (FRPs) in temporal and parietal brain regions further distinguished the attention of targets and distractors, which could be attributed to the process of memory and processing. Our findings offer new visual and neural evidence for human attention in target detection of remote sensing images, which not only contribute to the performance of attention-based algorithms in remote sensing interpretation, but also provide an empirical basis for guiding human–machine intelligent fusion.
Eye movement biometrics can enable continuous verification for highly secure environments such as financial transactions and defense establishments, as well as a more personalized and tailored ...experience in gaze-based human-computer interactions. However, there are numerous challenges to recognizing people in real environments using eye movements, such as implicity and stimulus independence. In the instance of wayfinding, this research intends to investigate implicit and stimulus-independent eye movement biometrics in real-world situations. We collected 39 subjects' eye movement data from real-world wayfinding experiments and derived five sets of eye movement features (the basic statistical, pupillary response, fixation density, fixation semantic and saccade encoding features). We adopted a random forest and performed biometric recognition for both identification and verification scenarios. The best accuracy we obtained in the identification scenario was 78% (equal error rate, EER = 6.3%) with the 10-fold classification and 64% (EER = 12.1%) with the leave-one-route-out classification. The best accuracy we achieved in the verification scenario was 89% (EER = 9.1%). Additionally, we tested performance across the 5 feature sets and 20 time window sizes. The results showed that the verification accuracy was insensitive to the increase in the time window size. These findings are the first indication of the viability of performing implicit and stimulus-independent biometric recognition in real-world settings using wearable eye tracking.
PURPOSEWe aimed to systematically evaluate the efficacy and safety of adalimumab biosimilar agents in the treatment of moderate-to-severe plaque psoriasis, in order to provide evidence-based ...reference data for clinical medicine. MATERIALS AND METHODSFive databases were searched by electronic retrieval: PubMed, Embase, Cochrane Library, WanFang and CNKI (China National Knowledge Internet). The retrieval period was from the establishment of each database up to April 2022. Randomized controlled trials (RCTs) on adalimumab biosimilar agents compared with their reference agents in the treatment of moderate-to-serve plague psoriasis were included. A meta-analysis using RevMan software was applied to 8 RCTs involving 2589 patients. RESULTSAfter 16 weeks of medication, there was no significant difference in the response rates of adalimumab biosimilar agents and their reference agents defined as a decrease in the Psoriasis Area and Severity Index (PASI) of ≥75% (PASI 75) (p > 0.05), or in the PASI 50, PASI 90 and PASI 100 measures (p > 0.05). After 16 weeks and 24 weeks of medication, there was no significant difference in the incidence rate of serious adverse events (SAEs) between adalimumab biosimilar agents and their reference agents (p > 0.05). After 16 weeks, 24 weeks and 51 weeks of medication, there was no significant difference in withdrawal rate due to SAEs, treatment-emergent adverse events and adverse events of special interest between adalimumab biosimilar agents and their reference agents (p > 0.05). CONCLUSIONThese findings suggest that biosimilar agents of adalimumab have an overall efficacy and safety profile for psoriasis comparable to those of their reference agents.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Pesticides and nanoparticles may coexist in soil; however, influences of nanoparticles on accumulation of pesticides in terrestrial organisms are still unclear. This study aims to investigate the ...influences and mechanisms of metal oxide nanoparticles (nano ZnO and nano CuO) on accumulation of pentachloronitrobenzene (PCNB) in earthworms and their combined toxicity. The earthworms were cultivated in the soil spiked with nanoparticles (10, 50, 250 mg/kg) and PCNB (100 μg/kg) for 21 days. The concentrations of PCNB in earthworms in binary exposure treatments (PCNB + ZnO and PCNB + CuO) reached 2.47 and 3.13 times of that in individual PCNB exposure treatment, indicating that nanoparticles facilitated the accumulation of PCNB in earthworms. The contents of reactive oxygen species (ROS) in earthworms in treatments PCNB + ZnO 250 and PCNB + CuO 250 reached 379 and 316 fluorescence intensity/mg Protein, respectively, which were significantly higher than that in control group (183 fluorescence intensity/mg protein), indicating that nanoparticles would cause oxidative stress to earthworms. Earthworm coelomocytes were extracted from healthy earthworms and cultivated in culture media in cytotoxicity tests. Changes of intracellular ROS contents and cell viability suggested that PCNB and nanoparticles caused serious oxidative damage to earthworm coelomocytes, thus leading to the damage of cell membrane and cell death. In in vivo tests, changes of biomarkers (ROS and malondialdehyde) demonstrated that these pollutants injured the earthworms. Increased accumulation of PCNB in binary exposure treatments was due to the damage of body cavity caused by nanoparticles. This study provides a novel hypothesis for nanoparticles facilitating organic pollutants entering terrestrial organisms and determines whether nanoparticles would bring about greater environmental risks of other pollutants.
Hand-foot-and-mouth disease (HFMD) is a highly contagious viral infection, and real-time predicting of HFMD outbreaks will facilitate the timely implementation of appropriate control measures. By ...integrating a susceptible-exposed-infectious-recovered (SEIR) model and an ensemble Kalman filter (EnKF) assimilation method, we developed an integrated compartment model and assimilation filtering forecast model for real-time forecasting of HFMD. When applied to HFMD outbreak data collected for 2008-11 in Beijing, China, our model successfully predicted the peak week of an outbreak three weeks before the actual arrival of the peak, with a predicted maximum infection rate of 85% or greater than the observed rate. Moreover, dominant virus types enterovirus 71 (EV-71) and coxsackievirus A16 (CV-A16) may account for the different patterns of HFMD transmission and recovery observed. The results of this study can be used to inform agencies responsible for public health management of tailored strategies for disease control efforts during HFMD outbreak seasons.
Abstract Background Prior research has highlighted the involvement of a transcriptional complex comprising C-terminal binding protein 2 (CtBP2), histone acetyltransferase p300, and nuclear factor ...kappa B (NF-κB) in the transactivation of proinflammatory cytokine genes, contributing to inflammation in mice with acute respiratory distress syndrome (ARDS). Nonetheless, it remains uncertain whether the therapeutic targeting of the CtBP2-p300-NF-κB complex holds potential for ARDS suppression. Methods An ARDS mouse model was established using lipopolysaccharide (LPS) exposure. RNA-Sequencing (RNA-Seq) was performed on ARDS mice and LPS-treated cells with CtBP2, p300, and p65 knockdown. Small molecules inhibiting the CtBP2-p300 interaction were identified through AlphaScreen. Gene and protein expression levels were quantified using RT-qPCR and immunoblots. Tissue damage was assessed via histological staining. Key findings We elucidated the specific role of the CtBP2-p300-NF-κB complex in proinflammatory gene regulation. RNA-seq analysis in LPS-challenged ARDS mice and LPS-treated CtBP2-knockdown (CtBP2 KD ), p300 KD , and p65 KD cells revealed its significant impact on proinflammatory genes with minimal effects on other NF-κB targets. Commercial inhibitors for CtBP2, p300, or NF-κB exhibited moderate cytotoxicity in vitro and in vivo, affecting both proinflammatory genes and other targets. We identified a potent inhibitor, PNSC928, for the CtBP2-p300 interaction using AlphaScreen. PNSC928 treatment hindered the assembly of the CtBP2-p300-NF-κB complex, substantially downregulating proinflammatory cytokine gene expression without observable cytotoxicity in normal cells. In vivo administration of PNSC928 significantly reduced CtBP2-driven proinflammatory gene expression in ARDS mice, alleviating inflammation and lung injury, ultimately improving ARDS prognosis. Conclusion Our results position PNSC928 as a promising therapeutic candidate to specifically target the CtBP2-p300 interaction and mitigate inflammation in ARDS management.
Collagens are the most abundant proteins in extra cellular matrix and important components of tumor microenvironment. Recent studies have showed that aberrant expression of collagens can influence ...tumor cell behaviors. However, their roles in hepatocellular carcinoma (HCC) are poorly understood.
In this study, we screened all 44 collagen members in HCC using whole transcriptome sequencing data from the public datasets, and collagen type IV alpha1 chain (COL4A1) was identified as most significantly differential expressed gene. Expression of COL4A1 was detected in HCC samples by quantitative real-time polymerase chain reaction (qRT-PCR), western blot and immunohistochemistry (IHC). Finally, functions and potential mechanisms of COL4A1 were explored in HCC progression.
COL4A1 is the most significantly overexpressed collagen gene in HCC. Upregulation of COL4A1 facilitates the proliferation, migration and invasion of HCC cells through FAK-Src signaling. Expression of COL4A1 is upregulated by RUNX1 in HCC. HCC cells with high COL4A1 expression are sensitive to the treatment with FAK or Src inhibitor.
COL4A1 facilitates growth and metastasis in HCC via activation of FAK-Src signaling. High level of COL4A1 may be a potential biomarker for diagnosis and treatment with FAK or Src inhibitor for HCC.
Maps based on virtual reality (VR) are evolving and are being increasingly used in the field of geography. However, the advantages of VR based on the map use processes of users over desktop-based ...environments (DEs) are not fully understood. In this study, an experiment was conducted in which 120 participants performed map use tasks using maps and globes in VR and DE. The participants' eye movements and questionnaires were collected to compare the map use performance differences. We analyzed the general metrics, information searching and processing metrics of participants (e.g. response time, RT; average fixation duration, AFD; average saccade duration, ASD; saccade frequency, SF, etc.) using maps and globes in different environments. We found that the participants using VR processed information more efficiently (AFD
DE
= 233.34 ms, AFD
VR
= 173.09 ms), and the participants using DE had both a significantly shorter response time (RT
DE
= 88.68 s, RT
VR
= 124.05 s) and a shorter visual search time (ASD
DE
= 60.78 ms, ASD
VR
= 112.13 ms; SF
DE
= 6.30, SF
VR
= 2.07). We also found similarities in accuracy, satisfaction and readability. These results are helpful for designing VR maps that can adapt to human cognition and reflect the advantages of VR.
Colon cancer is one of the most common malignant tumors, and B cell Translocation Gene (BTG)1 is involved in the occurrence and development of colon cancer, however, the underlying molecular ...mechanism remains unclear.
In this study, we investigated the expression of BTG1 protein in colon cancer, and its association with clinicopathology and prognosis.
The tumor specimens from 59 patients with colon cancer who had undergone radical colectomy were selected as the observation group. Para-carcinoma tissues from the same patients were selected as the control group. The expressions of BTG1 mRNA and protein in the specimen of two groups were analyzed by quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) and Western blot. According to the immunohistochemical results, the patients were divided into BTG1-negative and BTG1-positive groups. The postoperative cumulative survival rate in the two groups was analyzed. The association of the expression of BTG1 protein with the clinicopathological features and postoperative survival was investigated.
Compared with the control group, the expression levels of BTG1 mRNA and BTG1 protein were significantly decreased in the observation group (P < 0.05). Immunohistochemical analysis revealed that there were 12 positive tumor samples and 47 negative samples. The expression of BTG1 was negatively associated with the degree of differentiation and lymphatic metastasis. The cumulative survival rate of BTG1-positive patients was significantly increased compared with that of BTG1- negative patients (P < 0.05). Stepwise Cox regression analysis showed that lymphatic metastasis, tumor size and BTG1 expression level were independent prognostic factors for overall survival in patients with colon cancer.
BTG1 protein in colon cancer tissues were expressed at low levels, which was associated with the clinicopathological features, postoperative recurrence and survival of patients.
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