Voluntary wheel exercise improves glymphatic clearance and ameliorates colitis-associated cognitive impairment in aged mice by inhibiting TRPV4-induced astrocytic calcium activity.

BACKGROUND AND OBJECTIVES: Chronic colitis exacerbates neuroinflammation, contributing to cognitive impairment during aging, but the mechanism remains unclear. The polarity distribution of astrocytic aquaporin 4 (AQP4) is crucial for the glymphatic system, which is responsible for metabolite clearance in the brain. Physical exercise (PE) improves cognition in the aged. This study aims to investigate the protective mechanism of exercise in colitis-associated cognitive impairment. METHODS: To establish a chronic colitis model, 18-month-old C57BL/6 J female mice received periodic oral administration of 1% wt/vol dextran sodium sulfate (DSS) in drinking water. The mice in the exercise group received four weeks of voluntary wheel exercise. High-throughput sequencing was conducted to screen for differentially expressed genes. Two-photon imaging was performed to investigate the function of the astrocytic calcium activity and in vivo intervention with TRPV4 inhibitor HC-067047. Further, GSK1016790A (GSK1), a TRPV4 agonist, was daily intraperitoneally injected during the exercise period to study the involvement of TRPV4 in PE protection. Colitis pathology was confirmed by histopathology. The novel object recognition (NOR) test, Morris water maze test (MWM), and open field test were performed to measure colitis-induced cognition and anxiety-like behavior. In vivo two-photon imaging and ex vivo imaging of fluorescent CSF tracers to evaluate the function of the glymphatic system. Immunofluorescence staining was used to detect the Aß deposition, polarity distribution of astrocytic AQP4, and astrocytic phenotype. Serum and brain levels of the inflammatory cytokines were tested by Enzyme-linked immunosorbent assay (ELISA). The brain TUNEL assay was used to assess DNA damage. Expression of critical molecules was detected using Western blotting. RESULTS: Voluntary exercise alleviates cognitive impairment and anxiety-like behavior in aged mice with chronic colitis, providing neuroprotection against neuronal damage and apoptosis. Additionally, voluntary exercise promotes the brain clearance of Aß via increased glymphatic clearance. Mechanistically, exercise-induced beneficial effects may be attributed, in part, to the inhibition of TRPV4 expression and TRPV4-related calcium hyperactivity, subsequent promotion of AQP4 polarization, and modulation of astrocyte phenotype. CONCLUSION: The present study reveals a novel role of voluntary exercise in alleviating colitis-related cognitive impairment and anxiety disorder, which is mediated by the promotion of AQP4 polarization and glymphatic clearance of Aß via inhibition of TRPV4-induced astrocytic calcium hyperactivity.

Low expression of miR-182 caused by DNA hypermethylation accelerates acute lymphocyte leukemia development by targeting PBX3 and BCL2: miR-182 promoter methylation is a predictive marker for hypomethylation agents + BCL2 inhibitor venetoclax.

BACKGROUND: miR-182 promoter hypermethylation frequently occurs in various tumors, including acute myeloid leukemia, and leads to low expression of miR-182. However, whether adult acute lymphocyte leukemia (ALL) cells have high miR-182 promoter methylation has not been determined. METHODS: To assess the methylation status of the miR-182 promoter, methylation and unmethylation-specific PCR analysis, bisulfite-sequencing analysis, and MethylTarget™ assays were performed to measure the frequency of methylation at the miR-182 promoter. Bone marrow cells were isolated from miR-182 knockout (182KO) and 182 wild type (182WT) mice to construct BCR-ABL (P190) and Notch-induced murine B-ALL and T-ALL models, respectively. Primary ALL samples were performed to investigate synergistic effects of the hypomethylation agents (HMAs) and the BCL2 inhibitor venetoclax (Ven) in vitro. RESULTS: miR-182 (miR-182-5P) expression was substantially lower in ALL blasts than in normal controls (NCs) because of DNA hypermethylation at the miR-182 promoter in ALL blasts but not in normal controls (NCs). Knockout of miR-182 (182KO) markedly accelerated ALL development, facilitated the infiltration, and shortened the OS in a BCR-ABL (P190)-induced murine B-ALL model. Furthermore, the 182KO ALL cell population was enriched with more leukemia-initiating cells (CD43+B220+ cells, LICs) and presented higher leukemogenic activity than the 182WT ALL population. Furthermore, depletion of miR-182 reduced the OS in a Notch-induced murine T-ALL model, suggesting that miR-182 knockout accelerates ALL development. Mechanistically, overexpression of miR-182 inhibited proliferation and induced apoptosis by directly targeting PBX3 and BCL2, two well-known oncogenes, that are key targets of miR-182. Most importantly, DAC in combination with Ven had synergistic effects on ALL cells with miR-182 promoter hypermethylation, but not on ALL cells with miR-182 promoter hypomethylation. CONCLUSIONS: Collectively, we identified miR-182 as a tumor suppressor gene in ALL cells and low expression of miR-182 because of hypermethylation facilitates the malignant phenotype of ALL cells. DAC + Ven cotreatment might has been applied in the clinical try for ALL patients with miR-182 promoter hypermethylation. Furthermore, the methylation frequency at the miR-182 promoter should be a potential biomarker for DAC + Ven treatment in ALL patients.

Temporal Feature Fusion for 3D Detection in Monocular Video.

Previous monocular 3D detection works focus on the single frame input in both training and inference. In real-world applications, temporal and motion information naturally exists in monocular video. It is valuable for 3D detection but under-explored in monocular works. In this paper, we propose a straightforward and effective method for temporal feature fusion, which exhibits low computation cost and excellent transferability, making it conveniently applicable to various monocular models. Specifically, with the help of optical flow, we transform the backbone features produced by prior frames and fuse them into the current frame. We introduce the scene feature propagating mechanism, which accumulates history scene features without extra time-consuming. In this process, occluded areas are removed via forward-backward scene consistency. Our method naturally introduces valuable temporal features, facilitating 3D reasoning in monocular 3D detection. Furthermore, accumulated history scene features via scene propagating mitigate heavy computation overheads for video processing. Experiments are conducted on variant baselines, which demonstrate that the proposed method is model-agonistic and can bring significant improvement to multiple types of single-frame methods.

The role of bile acid receptor TGR5 in regulating inflammatory signalling.

Takeda G protein-coupled receptor 5 (TGR5) is a bile acid receptor, and its role in regulating metabolism after binding with bile acids has been established. Since the immune response depends on metabolism to provide biomolecules and energy to cope with challenging conditions, emerging evidence reveals the regulatory effects of TGR5 on the immune response. An in-depth understanding of the effect of TGR5 on immune regulation can help us disentangle the interaction of metabolism and immune response, accelerating the development of TGR5 as a therapeutic target. Herein, we reviewed more than 200 articles published in the last 20 years in PubMed, to discuss the roles of TGR5 in regulating inflammatory response, the molecular mechanism, as well as existing problems. Particularly, its anti-inflammation effect is emphasized.

Low-dose hypomethylating agents cooperate with ferroptosis inducers to enhance ferroptosis by regulating the DNA methylation-mediated MAGEA6-AMPK-SLC7A11-GPX4 signaling pathway in acute myeloid leukemia.

BACKGROUND: Ferroptosis is a new form of nonapoptotic and iron-dependent type of cell death. Glutathione peroxidase-4 (GPX4) plays an essential role in anti-ferroptosis by reducing lipid peroxidation. Although acute myeloid leukemia (AML) cells, especially relapsed and refractory (R/R)-AML, present high GPX4 levels and enzyme activities, pharmacological inhibition of GPX4 alone has limited application in AML. Thus, whether inhibition of GPX4 combined with other therapeutic reagents has effective application in AML is largely unknown. METHODS: Lipid reactive oxygen species (ROS), malondialdehyde (MDA), and glutathione (GSH) assays were used to assess ferroptosis in AML cells treated with the hypomethylating agent (HMA) decitabine (DAC), ferroptosis-inducer (FIN) RAS-selective lethal 3 (RSL3), or their combination. Combination index (CI) analysis was used to assess the synergistic activity of DAC + RSL3 against AML cells. Finally, we evaluated the synergistic activity of DAC + RSL3 in murine AML and a human R/R-AML-xenografted NSG model in vivo. RESULTS: We first assessed GPX4 expression and found that GPX4 levels were higher in AML cells, especially those with MLL rearrangements, than in NCs. Knockdown of GPX4 by shRNA and indirect inhibition of GPX4 enzyme activity by RSL3 robustly induced ferroptosis in AML cells. To reduce the dose of RSL3 and avoid side effects, low doses of DAC (0.5 µM) and RSL3 (0.05 µM) synergistically facilitate ferroptosis by inhibiting the AMP-activated protein kinase (AMPK)-SLC7A11-GPX4 axis. Knockdown of AMPK by shRNA enhanced ferroptosis, and overexpression of SLC7A11 and GPX4 rescued DAC + RSL3-induced anti-leukemogenesis. Mechanistically, DAC increased the expression of MAGEA6 by reducing MAGEA6 promoter hypermethylation. Overexpression of MAGEA6 induced the degradation of AMPK, suggesting that DAC inhibits the AMPK-SLC7A11-GPX4 axis by increasing MAGEA6 expression. In addition, DAC + RSL3 synergistically reduced leukemic burden and extended overall survival compared with either DAC or RSL3 treatment in the MLL-AF9-transformed murine model. Finally, DAC + RSL3 synergistically reduced viability in untreated and R/R-AML cells and extended overall survival in two R/R-AML-xenografted NSG mouse models. CONCLUSIONS: Our study first identify vulnerability to ferroptosis by regulating MAGEA6-AMPK-SLC7A11-GPX4 signaling pathway. Combined treatment with HMAs and FINs provides a potential therapeutic choice for AML patients, especially for R/R-AML.

Motion-Aware Memory Network for Fast Video Salient Object Detection.

Previous methods based on 3DCNN, convLSTM, or optical flow have achieved great success in video salient object detection (VSOD). However, these methods still suffer from high computational costs or poor quality of the generated saliency maps. To address this, we design a space-time memory (STM)-based network that employs a standard encoder-decoder architecture. During the encoding stage, we extract high-level temporal features from the current frame and its adjacent frames, which is more efficient and practical than methods reliant on optical flow. During the decoding stage, we introduce an effective fusion strategy for both spatial and temporal branches. The semantic information of the high-level features is used to improve the object details in the low-level features. Subsequently, spatiotemporal features are methodically derived step by step to reconstruct the saliency maps. Moreover, inspired by the boundary supervision prevalent in image salient object detection (ISOD), we design a motion-aware loss that predicts object boundary motion, and simultaneously perform multitask learning for VSOD and object motion prediction. This can further enhance the model's capability to accurately extract spatiotemporal features while maintaining object integrity. Extensive experiments on several datasets demonstrate the effectiveness of our method and can achieve state-of-the-art metrics on some datasets. Our proposed model does not require optical flow or additional preprocessing, and can reach an impressive inference speed of nearly 100 FPS.

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention.

While features of different scales are perceptually important to visual inputs, existing vision transformers do not yet take advantage of them explicitly. To this end, we first propose a cross-scale vision transformer, CrossFormer. It introduces a cross-scale embedding layer (CEL) and a long-short distance attention (LSDA). On the one hand, CEL blends each token with multiple patches of different scales, providing the self-attention module itself with cross-scale features. On the other hand, LSDA splits the self-attention module into a short-distance one and a long-distance counterpart, which not only reduces the computational burden but also keeps both small-scale and large-scale features in the tokens. Moreover, through experiments on CrossFormer, we observe another two issues that affect vision transformers' performance, i.e., the enlarging self-attention maps and amplitude explosion. Thus, we further propose a progressive group size (PGS) paradigm and an amplitude cooling layer (ACL) to alleviate the two issues, respectively. The CrossFormer incorporating with PGS and ACL is called CrossFormer++. Extensive experiments show that CrossFormer++ outperforms the other vision transformers on image classification, object detection, instance segmentation, and semantic segmentation tasks.

A focus group study of fish consumption behaviors among Asian women in Milwaukee, Wisconsin.

Consumption of locally caught fish provides health benefits but can be a route of exposure to methylmercury and other persistent environmental contaminants. Previous studies found that Asian women of childbearing age (WCBA) in the Milwaukee area have high levels of exposure through fish consumption but limited awareness of fish advisories. We conducted a focus group project to understand the influence of culture, attitudes, and beliefs on the fish consumption habits of Chinese, Hmong, and Karen WCBA who reside in the Milwaukee area to develop culturally appropriate educational materials. A total of 19 women aged 18-50 years identifying as Chinese, Hmong, or Karen were recruited. Three focus groups were held, each consisting of 6-7 participants from one ethnicity. Focus group transcripts were thematically analyzed and coded based on the integrated behavioral model. Nutritional benefits and availability were the most common reasons to eat locally caught fish. All participants were aware of risks associated with eating fish, yet few knew ways to mitigate risk and maximize benefits. Participants expressed interest in receiving health messages from trusted sources and recommended that messaging target families rather than just individuals. Participants who were confident in their self-efficacy expressed a greater likelihood of following health message guidelines. Results suggest providing culturally appropriate educational materials in preferred languages to Asian communities via local community organizations may increase self-efficacy and adherence to fish advisories. Future projects will evaluate the effectiveness of self-affirmation messaging among Asian WCBA and assess changes in fish consumption based on message content.

Prognostic value analysis of cholesterol and cholesterol homeostasis related genes in breast cancer by Mendelian randomization and multi-omics machine learning.

Introduction: The high incidence of breast cancer (BC) prompted us to explore more factors that might affect its occurrence, development, treatment, and also recurrence. Dysregulation of cholesterol metabolism has been widely observed in BC; however, the detailed role of how cholesterol metabolism affects chemo-sensitivity, and immune response, as well as the clinical outcome of BC is unknown. Methods: With Mendelian randomization (MR) analysis, the potential causal relationship between genetic variants of cholesterol and BC risk was assessed first. Then we analyzed 73 cholesterol homeostasis-related genes (CHGs) in BC samples and their expression patterns in the TCGA cohort with consensus clustering analysis, aiming to figure out the relationship between cholesterol homeostasis and BC prognosis. Based on the CHG analysis, we established a CAG_score used for predicting therapeutic response and overall survival (OS) of BC patients. Furthermore, a machine learning method was adopted to accurately predict the prognosis of BC patients by comparing multi-omics differences of different risk groups. Results: We observed that the alterations in plasma cholesterol appear to be correlative with the venture of BC (MR Egger, OR: 0.54, 95% CI: 0.35-0.84, p<0.006). The expression patterns of CHGs were classified into two distinct groups(C1 and C2). Notably, the C1 group exhibited a favorable prognosis characterized by a suppressed immune response and enhanced cholesterol metabolism in comparison to the C2 group. In addition, high CHG score were accompanied by high performance of tumor angiogenesis genes. Interestingly, the expression of vascular genes (CDH5, CLDN5, TIE1, JAM2, TEK) is lower in patients with high expression of CHGs, which means that these patients have poorer vascular stability. The CAG_score exhibits robust predictive capability for the immune microenvironment characteristics and prognosis of patients(AUC=0.79). It can also optimize the administration of various first-line drugs, including AKT inhibitors VIII Imatinib, Crizotinib, Saracatinib, Erlotinib, Dasatinib, Rapamycin, Roscovitine and Shikonin in BC patients. Finally, we employed machine learning techniques to construct a multi-omics prediction model(Risklight),with an area under the feature curve (AUC) of up to 0.89. Conclusion: With the help of CAG_score and Risklight, we reveal the signature of cholesterol homeostasis-related genes for angiogenesis, immune responses, and the therapeutic response in breast cancer, which contributes to precision medicine and improved prognosis of BC.

Study on the effectiveness, safety and comprehensive evaluations of novel medical restraint gloves in patients with consciousness disorders.

OBJECTIVE: To develop novel medical restraint gloves and investigate their application effect in patients with consciousness and cognitive disorders. METHODS: The clinical data of 63 patients with consciousness or cognitive impairment admitted to The First People's Hospital of Lin'an District from June 2021 to January 2022 were retrospectively analyzed. According to the different type of restraint gloves used for treatment, patients were divided into a control group and an observation group. Thirty-one patients from the observation group were treated with the novel medical restraint gloves, and 32 patients in the control group underwent conventional restraint gloves. The effectiveness, safety as well as the comprehensive evaluations of the gloves were detected and compared between the two groups. RESULTS: In the term of effectiveness of gloves, the outcomes of protective performances, treatment operations, the fixed gloves/rings, the flexible fingers and overturned gloves in the observation group were significantly better than those in the control group (all P<0.05). In the term of safety of gloves, there was significant difference regarding the local skin redness (P<0.05) between the control group and the observation group, while there was no remarkable difference regarding strangulation marks, local skin damage and local skin swelling. The results of comprehensive evaluation showed the qualified outcome in the observation group was 100%, which was significantly higher than that in the control group (50%) (P<0.05). CONCLUSION: Compared with the traditional restraint gloves, the outcomes of effectiveness, safety and comprehensive evaluation results from the observation group were better, indicating that the novel medical restraint gloves better meet the requirements of clinical practices and thus have more clinical application value.

X-view: Non-egocentric Multi-View 3D Object Detector.

3D object detection algorithms for autonomous driving reason about 3D obstacles either from 3D birds-eye view or perspective view or both. Recent works attempt to improve the detection performance via mining and fusing from multiple egocentric views. Although the egocentric perspective view alleviates some weaknesses of the birds-eye view, the sectored grid partition becomes so coarse in the distance that the targets and surrounding context mix together, which makes the features less discriminative. In this paper, we generalize the research on 3D multi-view learning and propose a novel multi-view-based 3D detection method, named X-view, to overcome the drawbacks of the multi-view methods. Specifically, X-view breaks through the traditional limitation about the perspective view whose original point must be consistent with the 3D Cartesian coordinate. X-view is designed as a general paradigm that can be applied on almost any 3D detectors based on LiDAR with only little increment of running time, no matter it is voxel/grid-based or raw-point-based. We conduct experiments on KITTI [1] and NuScenes [2] datasets to demonstrate the robustness and effectiveness of our proposed X-view. The results show that X-view obtains consistent improvements when combined with mainstream state-of-the-art 3D methods.

Water-soluble polythiophene-based colorimetry for the quick and accurate detection of SARS-CoV-2 RNA.

The SARS-CoV-2-related Corona Virus Disease 2019 (COVID-19) epidemic has had a significant negative impact on society and endangered global health. To quickly stop and constrain the pandemic, a SARS-CoV-2 detection technology that is sensitive, quick and reasonably priced is urgently required. The widely used reverse-transcription polymerase chain reaction (RT-PCR) requires complex equipment and a fair amount of time. Reverse transcription-loop-mediated isothermal amplification (RT-LAMP) exhibits significant advantage for early detection of COVID-19 without the requirement for expensive equipment by amplifying a little amount of RNA to a detectable level at isothermal condition. Here, a water-soluble polythiophene-based colorimetric method by combining with RT-LAMP is established for fast and sensitive detection of SARS-CoV-2 RNA. The proposed assay has benefits for the quick detection of SARS-CoV-2 RNA at concentrations as low as 10 aM, or 6 copies/µL.

TREM2 mediates physical exercise-promoted neural functional recovery in rats with ischemic stroke via microglia-promoted white matter repair.

BACKGROUND: The repair of white matter injury is of significant importance for functional recovery after ischemic stroke, and the up-regulation of triggering receptors expressed on myeloid cells 2 (TREM2) after ischemic stroke is neuroprotective and implicated in remyelination. However, the lack of effective therapies calls for the need to investigate the regenerative process of remyelination and the role of rehabilitation therapy. This study sought to investigate whether and how moderate physical exercise (PE) promotes oligodendrogenesis and remyelination in rats with transient middle cerebral artery occlusion (tMCAO). METHODS: Male Sprague-Dawley rats (weighing 250-280 g) were subjected to tMCAO. AAV-shRNA was injected into the lateral ventricle to silence the Trem2 gene before the operation. The rats in the physical exercise group started electric running cage training at 48 h after the operation. The Morris water maze and novel object recognition test were used to evaluate cognitive function. Luxol fast blue staining, diffusion tensor imaging, and electron microscopy were used to observe myelin injury and repair. Immunofluorescence staining was applied to observe the proliferation and differentiation of oligodendrocyte precursor cells (OPCs). Expression of key molecules were detected using immunofluorescence staining, quantitative real-time polymerase chain reaction, Western blotting, and Enzyme-linked immunosorbent assay, respectively. RESULTS: PE exerted neuroprotective efects by modulating microglial state, promoting remyelination and recovery of neurological function of rats over 35 d after stroke, while silencing Trem2 expression in rats suppressed the aforementioned effects promoted by PE. In addition, by leveraging the activin-A neutralizing antibody, we found a direct beneficial effect of PE on microglia-derived activin-A and its subsequent role on oligodendrocyte differentiation and remyelination mediated by the activin-A/Acvr axis. CONCLUSIONS: The present study reveals a novel regenerative role of PE in white matter injury after stroke, which is mediated by upregulation of TREM2 and microglia-derived factor for oligodendrocytes regeneration. PE is an effective therapeutic approach for improving white matter integrity and alleviating neurological function deficits after ischemic stroke.

DNA hypermethylation-induced miR-182 silence targets BCL2 and HOXA9 to facilitate the self-renewal of leukemia stem cell, accelerate acute myeloid leukemia progression, and determine the sensitivity of BCL2 inhibitor venetoclax.

Rationale: microRNAs (miRNAs) are frequently deregulated and play important roles in the pathogenesis and progression of acute myeloid leukemia (AML). miR-182 functions as an onco-miRNA or tumor suppressor miRNA in the context of different cancers. However, whether miR-182 affects the self-renewal of leukemia stem cells (LSCs) and normal hematopoietic stem progenitor cells (HSPCs) is unknown. Methods: Bisulfite sequencing was used to analyze the methylation status at pri-miR-182 promoter. Lineage-negative HSPCs were isolated from miR-182 knockout (182KO) and wild-type (182WT) mice to construct MLL-AF9-transformed AML model. The effects of miR-182 depletion on the overall survival and function of LSC were analyzed in this mouse model in vivo. Results: miR-182-5p (miR-182) expression was lower in AML blasts than normal controls (NCs) with hypermethylation observed at putative pri-miR-182 promoter in AML blasts but unmethylation in NCs. Overexpression of miR-182 inhibited proliferation, reduced colony formation, and induced apoptosis in leukemic cells. In addition, depletion of miR-182 accelerated the development and shortened the overall survival (OS) in MLL-AF9-transformed murine AML through increasing LSC frequency and self-renewal ability. Consistently, overexpression of miR-182 attenuated AML development and extended the OS in the murine AML model. Most importantly, miR-182 was likely dispensable for normal hematopoiesis. Mechanistically, we identified BCL2 and HOXA9 as two key targets of miR-182 in this context. Most importantly, AML patients with miR-182 unmethylation had high expression of miR-182 followed by low protein expression of BCL2 and resistance to BCL2 inhibitor venetoclax (Ven) in vitro. Conclusions: Our results suggest that miR-182 is a potential therapeutic target for AML patients through attenuating the self-renewal of LSC but not HSPC. miR-182 promoter methylation could determine the sensitivity of Ven treatment and provide a potential biomarker for it.

Fish Consumption and Advisory Awareness among a Representative Sample of Wisconsin Adults, 2017-2019.

PURPOSE: To examine fish consumption patterns and fish advisory awareness among Wisconsin adults. DESIGN: Cross-sectional data from population-based survey. Setting: 2017-2019 Wisconsin Behavioral Risk Factor Surveillance System (BRFSS), supplemental fish module. SUBJECTS: 15,757 Wisconsinites aged ≥18 years. Annual response rates ranged 46.1-53.3%. MEASURES: Fish consumption, advisory awareness, background and demographic characteristics. ANALYSIS: Weighted binary and multinomial logistic regression. RESULTS: Most Wisconsinites reported eating fish in the past 30 days, with approximately half (49.8%) consuming less than one fish meal per week. One-fifth of adults reported consuming sportfish. Women were less likely to eat any fish (PORadj = .6, 95% CI: .5-.7) and sportfish than men (PORadj = .7, 95% CI: .6-.8). The majority (76.7%) of sportfish consumers were aware of fish advisories. However, women (PORadj = .7, 95% CI: .5-.9) and black, Indigenous, and people of color (BIPOC) (PORadj = .4, 95% CI: .2-.7) sportfish consumers were less likely to be aware of fish advisories. Compared to adults aged 18-34 years, adults ≥55 years were twice as likely to eat 1-2 fish meals (vs. less than 1 fish meal) per week (PORadj = 2.3, 95% CI: 1.8-2.9). CONCLUSION: Findings indicate that half of all Wisconsinites consumed less fish than recommended by Wisconsin fish advisories, and women and BIPOC respondents were less likely to be aware of advisories. Educational efforts are needed to improve fish consumption habits.

High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor.

False detection of SARS-CoV-2 is detrimental to epidemic prevention and control. The scalar nature of the detected signal and the imperfect target recognition property of developed methods are the root causes of generating false signals. Here, we reported a collaborative system of CRISPR-Cas13a coupling with the stabilized graphene field-effect transistor, providing high-intensity vector signals for detecting SARS-CoV-2. In this collaborative system, SARS-CoV-2 RNA generates a "big subtraction" signal with a right-shifted feature, whereas any untargets cause the left-shifted characteristic signal. Thus, the false detection of SARS-CoV-2 is eliminated. High sensitivity with 0.15 copies/µL was obtained. In addition, the wide concerned instability of the graphene field-effect transistor for biosensing in solution environment was solved by the hydrophobic treatment to its substrate, which should be a milestone in advancing it's engineering application. This collaborative system characterized by the high-intensity vector signal and amazing stability significantly advances the accurate SARS-CoV-2 detection from the aspect of signal nature.

Clinical significance of bladder training in preoperative localization of high-intensity focused ultrasound ablation of uterine fibroids.

OBJECTIVES: High-intensity focused ultrasound (HIFU) is widely used to treat uterine fibroids. HIFU preoperative localization of uterine fibroids can be used to determine whether the patient is a suitable candidate for HIFU treatment. This study investigated the clinical significance of bladder training in improving the success rate of HIFU preoperative localization uterine fibroids. MATERIAL AND METHODS: Our sample consists of patients who planned to undergo HIFU treatment in our hospital but who were failed in previous HIFU preoperative localization. They were recruited between July 2021 and April 2022, and randomly divided into experimental and control groups. A total of 150 patients were enrolled. Each group consisted of 75 patients. The patients in the experimental group adopted the procedure of drinking water multiple times and retaining urine. The training program lasted three days. The patients in the control group were required to keep regular drinking and urination habits without any special instructions or requirements. RESULTS: There were no statistically significant differences between the two groups in maximum bladder capacity, residual urine volume of bladder, bladder filling levels, and bladder shape change. After bladder training, the maximum bladder capacity and the degree bladder shape change of the patients in the experimental group were improved significantly. The success rate of HIFU preoperative localization in the patients in the experimental group was significantly higher than that of the control group. CONCLUSIONS: Bladder training can effectively improve the success rate of HIFU preoperative localization of uterine fibroids.

Novel reverse transcription-multiple inner primer loop-mediated isothermal amplification (RT-MIPLAMP) for visual and sensitive detection of SARS-CoV-2.

Since the end of 2019, outbreaks of COVID-19 pandemics have continued in different areas worldwide, which exacerbates the need for rapid, sensitive and simple methods for diagnosis. Currently, COVID-19 diagnosis mainly relies on reverse transcription-polymerase chain reaction (RT-PCR), which requires sophisticated instruments. Reverse transcription-loop mediated isothermal amplification (RT-LAMP), due to its isothermal nature and high specificity, can be used as an alternative. In this paper, a novel visual reverse transcription-multiple inner primer loop-mediated isothermal amplification (RT-MIPLAMP) method is established based on RT-LAMP by adding a pair of inner primers. The RT-MIPLAMP method has a higher sensitivity and shorter reaction time compared with conventional RT-LAMP. By using RT-MIPLAMP, as low as 6 × 103 copies per mL in vitro transcribed (IVT) N gene can be detected within 55 min. Meanwhile, as low as 6 × 104 copies per mL IVT N gene is detectable with conventional RT-LAMP within 80 min. The feasibility of visual RT-MIPLAMP is also validated by detecting the N gene spiked into one healthy volunteer's saliva and the full-length RNA in pseudoviruses, indicating the great potential of visual RT-MIPLAMP for SARS-CoV-2 identification.

Specific detection of fusion transcripts based on a duplex-specific nuclease and isothermal exponential amplification reaction.

Fusion genes are mostly found in tumor tissues, but are in low expression levels in healthy tissues, making them good candidate biomarkers for tumor diagnosis and therapy. Here, we propose a duplex-specific nuclease-isothermal exponential amplification reaction (DSN-IEXPAR) method for the detection of fusion transcripts. A DNA probe is specifically designed for fusion transcript recognition and hybridization, and DSN cleavages the DNA probe in the DNA/RNA duplex. Through controlling the recognition and cleavage temperature, DSN can only cut the DNA probe fully matched with the target fusion transcript rather than other transcripts containing partial the same sequence, endowing the proposed method with high specificity to the fusion transcript in the presence of homologous sequences. The truncated DNA probe after cutting can subsequently trigger IEXPAR as a probe, so as low as 100 fM fusion transcript can be detected with the proposed DSN-IEXPAR. The evaluation of the analytical performance of DSN-IEXPAR demonstrates that it can provide an effective platform for fusion transcript detection in the ordinary laboratory and clinical diagnosis.

The role of universities' sustainability, teachers' wellbeing, and attitudes toward e-learning during COVID-19.

In recent years, universities worldwide have experienced rapid changes with an immense impact, which have been influenced by technological progress and the social trends of digitalization. Like all other revolutionary changes, digital transformation involves intense adjustment/readjustment. University sustainability must be the active concern of all higher education institutions. Thus, the present research aims to analyse teachers' acceptance of new technologies and the impact on their wellbeing and university sustainability. The main objective was to analyse the acceptance of technology in special the e-learning opportunities and the wellbeing of teacher in an emergent country like Romania. To achieve our goal, we created a questionnaire based on the literature, and with the help of the technology acceptance model, we tested our hypotheses. The results indicate several discontents on the part of teachers concerning adapting to new technologies and even a personal discomfort in adapting to these new technologies. Thus, we can note that wellbeing significantly influences job satisfaction and teachers' involvement in sustainable development.