TRPC5-mediated NLRP3 inflammasome activation contributes to myocardial cell pyroptosis in chronic intermittent hypoxia rats.

BACKGROUND: Chronic intermittent hypoxia (CIH) is the primary cause of myocardial inflammation in obstructive sleep apnea-hypopnea syndrome (OSAHS). Pyroptosis is a newly discovered form of programmed cell death accompanying inflammatory reactions. Our previous study showed that TRPC5 is upregulated in the myocardial injury of CIH rats. The present study aimed to explore the role of TRPC5 in CIH-induced myocardial cell pyroptosis. METHODS: A model of CIH in OSA rats was established. SD rats were randomly divided into control group(8rats) and OSA group(8rats). Scanning electron microscope(SEM) was performed on left ventricular tissues slides. Western blot were used to detect the expression levels of pyroptosis-related factors and TRPC5 and its downstream proteins in myocardia tissue. RESULTS: The pyroptosis of myocardial cells by SEM revealed damaged cell membrane integrity of OSA group rats, with fibrous tissue attached to the cell membrane surface, and vesicular protrusions and pyroptotic bodies were observed.Compared to the control group, the expression of pyroptosis-related proteins, such as caspase1, pro-IL-1ß, IL-1ß, IL-18, GSDMD, and GSDMD-N was upregulated in the OSA group (p < 0.05). Compared to the control group, the expression of TRPC5, NLPR3, p-CaMKIIß + δ+γ, and HDAC4 was higher in the OSA group (p < 0.05). CONCLUSIONS: These findings indicated that the pyroptosis response increases in CIH-induced myocardial injury, and the mechanism that TRPC5 is upregulated, promoting the expression of NLRP3 and inflammasome formation through CaMKII phosphorylation and HDAC4 cytoplasmic translocation. This might be a potential target for the treatment of OSA-induced myocardial injury.

Screening and heterologous expression of an antimicrobial peptide SCAK33 with broad-spectrum antimicrobial activity resourced from sea cucumber proteome.

Antimicrobial peptides (AMPs) are a family of short defense proteins that are naturally produced by all organisms and have great potential as effective substitutes for small-molecule antibiotics. The present study aims to excavate AMPs from sea cucumbers and achieve their heterologous expression in prokaryotic Escherichia coli. Using MytC as a probe, a cysteine-stabilized peptide SCAK33 with broad-spectrum antimicrobial activity was discovered from the proteome of Apostichopus japonicas. The SCAK33 showed inhibitory effects on both gram positive and gram negative bacteria with MICs of 3-28 µM, and without significant hemolysis activity in rat blood erythrocyte. Especially, it exhibited good antimicrobial activity against Bacillus megaterium, B. subtilis, and Vibrio parahaemolyticus with the MIC of 3, 7, and 7 µM, respectively. After observation by scanning electronic microscopy (SEM) and confocal laser scanning microscope (CLSM), it was found that the cell membrane of bacteria was severely damaged. Furthermore, the recombinant SCAK33 (reSCAK33) was heterologously expressed by fusion with SUMO tag in E. coli BL21(DE3), and the protein yield reached 70 mg/L. The research will supplement the existing quantity of sea cucumber AMPs and provide data support for rapid mining and biological preparation of sea cucumber AMPs.

ZDHHC20 Activates AKT Signaling Pathway to Promote Cell Proliferation in Hepatocellular Carcinoma.

Background: Liver cancer is the sixth most common cancer worldwide, and hepatocellular carcinoma (HCC) presents one of the most challenging global health issues. ZDHHC20, a member of the ZDHHC palmitoyltransferase (ZDHHC-PAT) family, is involved in a reversible lipid modification known as palmitoylation, which contributes to the occurrence and progression of various tumors. However, the specific mechanisms underlying the involvement of ZDHHC20 in this process are unclear. Methods: The effects of both ZDHHC20 knockdown and overexpression on hepatocellular carcinoma cell proliferation were evaluated using PCR, Western blotting, CCK-8 assay, colony formation assay, cell cycle analysis, apoptosis analysis, and EDU assay. The TCGA-LIHC dataset was analyzed bioinformatically, and the phosphorylation level of PI3K and AKT in SK-Hep1 and Huh7 cells was assessed using Western blotting. Nude mouse subcutaneous xenograft experiments were conducted to evaluate the effects of different treatment conditions on mouse tumor growth. Results: ZDHHC20 knockdown inhibited cell proliferation and promoted apoptosis, while overexpression of ZDHHC20 promoted cell proliferation and inhibited apoptosis. Knockdown of ZDHHC20 also decreased phosphorylation of PI3K and AKT in HCC, whereas overexpression of ZDHHC20 increased phosphorylation of PI3K and AKT. The PI3K-AKT pathway inhibitors, LY294002 and MK2206, effectively inhibited the promotional effects of ZDHHC20 on the proliferation and growth of HCC. Conclusion: High expression of ZDHHC20 promotes the proliferation and tumor growth of HCC by activating the PI3K-AKT signaling pathway. The PI3K inhibitor LY294002 and the AKT inhibitor MK2206 inhibit the promotional effects of ZDHHC20 on the proliferation of HCC and the growth of tumors.

High-Performance Nanofiltration Membrane with Dual Resistance to Gypsum Scaling and Biofouling for Enhanced Water Purification.

Nanofiltration (NF) technology is pivotal for ensuring a sustainable and reliable supply of clean water. To address the critical need for advanced thin-film composite (TFC) polyamide (PA) membranes with exceptional permselectivity and fouling resistance for emerging contaminant purification, we introduce a novel high-performance NF membrane. This membrane features a selective polypiperazine (PIP) layer functionalized with amino-containing quaternary ammonium compounds (QACs) through an in situ interfacial polycondensation reaction. Our investigation demonstrated that precise QAC functionalization enabled the construction of the selective PA layer with increased surface area, enhanced microporosity, stronger electronegativity, and reduced thickness compared to the control PIP membrane. As a result, the QAC NF membrane exhibited an approximately 51% increase in water permeance compared to the control PIP membrane, while achieving superior retention capabilities for divalent salts (>99%) and emerging organic contaminants (>90%). Furthermore, the incorporation of QACs into the PIP selective layer was proved to be effective in mitigating mineral scaling by allowing selective passage of scale-forming cations, while simultaneously exhibiting strong antimicrobial properties to combat biofouling. The in situ QAC incorporation strategy presented in this study provides valuable guidelines for the fit-for-purpose design of the selective PA layer, which is crucial for the development of high-performance NF membranes for efficient water purification.

Chemical constituents from the endophytic fungus Aspergillus sp. S3 of Hibiscus tiliaceus.

A new sterol, aspersterol E (1), a newly discovered alkaloid, asperginine A (2), and five known compounds (3-7) were obtained from the endophytic fungus Aspergillus sp. S3 of Hibiscus tiliaceus Linn. The compounds were extracted from their fermentation products using silica gel, ODS C18, and semi-preparative HPLC. The structure of each compound was determined through spectroscopic analysis. All the obtained compounds (1-7) were evaluated for their cytotoxic activity against the mouse pre-gastric cancer cell line MFC by using the MTT assay. The IC50 values of compounds 1, 2, 3, and 5 were found to be 153.43 µM, 61.25 µM, 73.19 µM, and 181.69 µM respectively.

Trends and insights in dengue virus research globally: a bibliometric analysis (1995-2023).

BACKGROUND: Dengue virus (DENV) is the most widespread arbovirus. The World Health Organization (WHO) declared dengue one of the top 10 global health threats in 2019. However, it has been underrepresented in bibliometric analyses. This study employs bibliometric analysis to identify research hotspots and trends, offering a comprehensive overview of the current research dynamics in this field. RESULTS: We present a report spanning from 1995 to 2023 that provides a unique longitudinal analysis of Dengue virus (DENV) research, revealing significant trends and shifts not extensively covered in previous literature. A total of 10,767 DENV-related documents were considered, with a notable increase in publications, peaking at 747 articles in 2021. Plos Neglected Tropical Diseases has become the leading journal in Dengue virus research, publishing 791 articles in this field-the highest number recorded. Our bibliometric analysis provides a comprehensive mapping of DENV research across multiple dimensions, including vector ecology, virology, and emerging therapies. The study delineates a complex network of immune response genes, including IFNA1, DDX58, IFNB1, STAT1, IRF3, and NFKB1, highlighting significant trends and emerging themes, particularly the impacts of climate change and new outbreaks on disease transmission. Our findings detail the progress and current status of key vaccine candidates, including the licensed Dengvaxia, newer vaccines such as Qdenga and TV003, and updated clinical trials. The study underscores significant advancements in antiviral therapies and vector control strategies for dengue, highlighting innovative drug candidates such as AT-752 and JNJ-1802, and the potential of drug repurposing with agents like Ribavirin, Remdesivir, and Lopinavir. Additionally, it discusses biological control methods, including the introduction of Wolbachia-infected mosquitoes and gene-editing technologies. CONCLUSION: This bibliometric study underscores the critical role of interdisciplinary collaboration in advancing DENV research, identifying key trends and areas needing further exploration, including host-virus dynamics, the development and application of antiviral drugs and vaccines, and the use of artificial intelligence. It advocates for strengthened partnerships across various disciplines to effectively tackle the challenges posed by DENV.

Randomized study for a novel elbow joint fixation device on postoperative complications in patients undergoing percutaneous coronary diagnostic or therapeutic procedures through the brachial artery.

Brachial artery access for coronary diagnostic or therapeutic procedures is associated with a greater risk of vascular complications. To determine whether 3D printing of a novel elbow joint fixation device could reduce postoperative complications after percutaneous coronary diagnostic or therapeutic procedures through the brachial artery. Patients who underwent percutaneous coronary diagnostic or therapeutic procedures by brachial access were randomly assigned to receive either a 3D-printed elbow joint fixation device (brace group) or traditional compression (control group) from March 2023 to December 2023. The severity of puncture site-related discomfort at 24 h postsurgery was significantly lower in the brace group (P = 0.014). Similarly, the upper arm calibration rate at 24 h postsurgery was significantly lower in the brace group [0.024 (0.019-0.046) vs. 0.077 (0.038-0.103), P < 0.001], as was the forearm calibration rate [0.026 (0.024-0.049) vs. 0.050 (0.023-0.091), P = 0.007]. The brace group had a significantly lower area of subcutaneous hemorrhage at 24 h postsurgery [0.255 (0-1.00) vs. 1 (0.25-1.75) cm2]. In patients who underwent percutaneous coronary diagnostic or therapeutic procedures by brachial access after manual compression hemostasis, the novel elbow joint fixation device was effective at reducing puncture site-related discomfort, alleviating the degree of swelling, and minimizing the subcutaneous bleeding area. Additionally, no significant complications were observed.Trial registration: China Clinical Trial Registration on 01/03/2023 (ChiCTR2300068791).

[Pharmacovigilance guidelines for clinical application of oral Chinese patent medicines].

Oral Chinese patent medicine is the essence of effective prescriptions created and summarized by Chinese medical scientists through thousands of years of medical practice. It is portable and convenient, with an obvious curative effect and other characteristics. However, at present, oral Chinese patent medicine is rich in dosage forms, various in types, complex in mechanism of action, and broad in clinical positioning. In clinical application, there are often cases of drug use without reference to instructions,repeated drug use, and prolonged drug use, which highlights safety problems such as adverse reactions and hepatorenal toxicity. Oral Chinese patent medicine pharmacovigilance is facing challenges. World Health Organization(WHO) has issued the WHO guidelines on safety monitoring of herbal medicines in pharmacovigilance systems, and International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use(ICH) has issued the ICH E2 pharmacovigilance guidelines. The United States has issued the Pharmacovigilance management standards and pharmacoepidemiological assessment guidelines, and the European Union has issued the Guidelines on good pharmacovigilance practices. Japan, South Korea, and other countries in the Asia Pacific region have established their own pharmacovigilance systems, but currently, there are no pharmacovigilance guidelines related to oral Chinese patent medicine in China. Therefore, experts from many disciplines and fields in China were invited to jointly develop the Pharmacovigilance guidelines for clinical application of oral Chinese patent medicines, which aims to develop pharmacovigilance guidelines for clinical application that are consistent with China's national conditions and highlight the characteristics of oral Chinese patent medicine, and provide guidance for clinically safe and rational drug application in medical institutions.

[Pharmacovigilance guidelines of Chinese patent medicines].

Drug administration law of the People's Republic of China(2019 revised edition), which came into effect on December 1, 2019, proposed that " the state shall establish a pharmacovigilance system". Pharmacovigilance work of Chinese patent medicines is more difficult, and it is necessary to carry out Pharmacovigilance activities that are in line with the characteristics of Chinese patent medicines. Pharmacovigilance guidelines of Chinese patent medicines(T/CACM 1563. 1-2024), based on the principles of Drug Administration Law of the People's Republic of China(2019 revised edition) and Pharmacovigilance quality management standards(No. 65 of 2021) of the National Medical Products Administration, draws on the EU Pharmacovigilance regulation and the secondary guidelines of International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use(ICH), and it is drafted in accordance with the provisions of Guidelines for standardization work part 1: structure and drafting rules of standardization documents(GB/T1. 1-2020) based on the characteristics of Chinese patent medicines. It serves as a general document for a series of pharmacovigilance guidelines of Chinese patent medicines, such as Guidelines for construction of traditional Chinese medicine pharmacovigilance system in medical institutions(T/CACM 1563. 2-2024), Pharmacovigilance guidelines for clinical application of oral Chinese patent medicines(T/CACM 1563. 3-2024), Pharmacovigilance guidelines for clinical application of traditional Chinese medicine injections(T/CACM 1563. 4-2024), Pharmacovigilance guidelines for clinical application of Chinese patent medicines for external use(T/CACM 1563. 5-2024), and Pharmacovigilance guidelines for clinical application of Chinese patent medicines for mucosal administration(T/CACM 1563. 6-2024), including four major elements of pharmacovigilance monitoring and reporting of Chinese patent medicines, signal identification, risk evaluation, and risk control, as well as pharmacovigilance activities for Chinese patent medicines, ensuring the safety of public drug use.

Development of a model to predict the risk of multi-drug resistant organism infections in ruptured intracranial aneurysms patients with hospital-acquired pneumonia in the neurological intensive care unit.

OBJECTIVE: This study was developed to explore the incidence of multi-drug resistant organism (MDRO) infections among ruptured intracranial aneurysms(RIA) patient with hospital-acquired pneumonia(HAP) in the neurological intensive care unit (NICU), and to establish risk factors related to the development of these infections. METHODS: We collected clinical and laboratory data from 328 eligible patients from January 2018 to December 2022. Bacterial culture results were used to assess MDRO strain distributions, and risk factors related to MDRO infection incidence were identified through logistic regression analyses. These risk factors were further used to establish a predictive model for the incidence of MDRO infections, after which this model underwent internal validation. RESULTS: In this study cohort, 26.5 % of RIA patients with HAP developed MDRO infections (87/328). The most common MDRO pathogens in these patients included Multidrug-resistant Klebsiella pneumoniae (34.31 %) and Multidrug-resistant Acinetobacter baumannii (27.45 %). Six MDRO risk factors, namely, diabetes (P = 0.032), tracheotomy (P = 0.004), history of mechanical ventilation (P = 0.033), lower albumin levels (P < 0.001), hydrocephalus (P < 0.001) and Glasgow Coma Scale (GCS) score ≤8 (P = 0.032) were all independently correlated with MDRO infection incidence. The prediction model exhibited satisfactory discrimination (area under the curve [AUC], 0.842) and calibration (slope, 1.000), with a decision curve analysis further supporting the clinical utility of this model. CONCLUSIONS: In summary, risk factors and bacterial distributions associated with MDRO infections among RIA patients with HAP in the NICU were herein assessed. The developed predictive model can aid clinicians to identify and screen high-risk patients for preventing MDRO infections.

The changing impacts of social determinants on youth mental health in Australia.

AIMS: Most lifetime mental health disorders begin by age 25 years, and the prevalence among young people has been increasing over recent years. We sought to understand what impact, if any, social determinants have had on this increase through the analysis of an Australian longitudinal dataset (with data from 2007 to 2021). METHODS: The analysis focused on five social determinants: loneliness and lack of social support, family relationships, participation in education and employment, receipt of government benefits and relative socio-economic status. We analysed cross-sectional changes in self-reported psychological distress between 2007 and 2021 (using the Kessler-10 item; K10 scores) and examined the effects of these five social determinants on psychological distress using weighted linear regression models. RESULTS: We identified a significant increase in psychological distress among Australians from 2007 to 2021, with the sharpest rise among those aged 15 to 25 years, who saw more than doubling in the percentage of high and very high K10. This period also saw an increase in the prevalence of social determinants such as loneliness and lack of social support, as well as poor family relationships, particularly in 2021 post COVID-19 pandemic. Regression models suggest loneliness and lack of social support had the most pronounced and increasing impact on psychological distress, followed by poor family relationships. DISCUSSION: The observed significant and steady increases in psychological distress and related social determinant factors, particularly loneliness and lack of social support among young people, highlight the urgent need for comprehensive actions. Coordinated research and community-based initiatives are needed to deliver intrapersonal, interpersonal and socially-focused interventions with a holistic approach to support psychosocial wellbeing. Policymakers must adopt a comprehensive shift in political commitment and a whole-of-government approach to address these challenges.

Capturing the clinical complexity in young people presenting to primary mental health services: a data-driven approach.

AIMS: The specific and multifaceted service needs of young people have driven the development of youth-specific integrated primary mental healthcare models, such as the internationally pioneering headspace services in Australia. Although these services were designed for early intervention, they often need to cater for young people with severe conditions and complex needs, creating challenges in service planning and resource allocation. There is, however, a lack of understanding and consensus on the definition of complexity in such clinical settings. METHODS: This retrospective study involved analysis of headspace's clinical minimum data set from young people accessing services in Australia between 1 July 2018 and 30 June 2019. Based on consultations with experts, complexity factors were mapped from a range of demographic information, symptom severity, diagnoses, illness stage, primary presenting issues and service engagement patterns. Consensus clustering was used to identify complexity subgroups based on identified factors. Multinomial logistic regression was then used to evaluate whether these complexity subgroups were associated with other risk factors. RESULTS: A total of 81,622 episodes of care from 76,021 young people across 113 services were analysed. Around 20% of young people clustered into a 'high complexity' group, presenting with a variety of complexity factors, including severe disorders, a trauma history and psychosocial impairments. Two moderate complexity groups were identified representing 'distress complexity' and 'psychosocial complexity' (about 20% each). Compared with the 'distress complexity' group, young people in the 'psychosocial complexity' group presented with a higher proportion of education, employment and housing issues in addition to psychological distress, and had lower levels of service engagement. The distribution of complexity profiles also varied across different headspace services. CONCLUSIONS: The proposed data-driven complexity model offers valuable insights for clinical planning and resource allocation. The identified groups highlight the importance of adopting a holistic and multidisciplinary approach to address the diverse factors contributing to clinical complexity. The large number of young people presenting with moderate-to-high complexity to headspace early intervention services emphasises the need for systemic change in youth mental healthcare to ensure the availability of appropriate and timely support for all young people.

Mussel-inspired bifunctional coating for long-term stability of oral implants.

Peri-implantitis and osseointegration failure present considerable challenges to the prolonged stability of oral implants. To address these issues, there is an escalating demand for a resilient implant surface coating that seamlessly integrates antimicrobial features to combat bacteria-induced peri­implantitis, and osteogenic properties to promote bone formation. In the present study, a bio-inspired poly(amidoamine) dendrimer (DA-PAMAM-NH2) is synthesized by utilizing a mussel protein (DA) known for its strong adherence to various materials. Conjugating DA with PAMAM-NH2, inherently endowed with antibacterial and osteogenic properties, results in a robust and multifunctional coating. Robust adhesion between DA-PAMAM-NH2 and the titanium alloy surface is identified using confocal laser scanning microscopy (CLSM) and attenuated total reflectance-infrared (ATR-IR) spectroscopy. Following a four-week immersion of the coated titanium alloy surface in simulated body fluid (SBF), the antimicrobial activity and superior osteogenesis of the DA-PAMAM-NH2-coated surface remain stable. In contrast, the bifunctional effects of the PAMAM-NH2-coated surface diminish after the same immersion period. In vivo animal experiments validate the enduring antimicrobial and osteogenic properties of DA-PAMAM-NH2-coated titanium alloy implants, significantly enhancing the long-term stability of the implants. This innovative coating holds promise for addressing the multifaceted challenges associated with peri­implantitis and osseointegration failure in titanium-based implants. STATEMENT OF SIGNIFICANCE: Prolonged stability of oral implants remains a clinically-significant challenge. Peri-implantitis and osseointegration failure are two important contributors to the poor stability of oral implants. The present study developed a mussel-bioinspired poly(amidoamine) dendrimer (DA-PAMAM-NH2) for a resilient implant surface coating that seamlessly integrates antimicrobial features to combat bacteria-induced peri­implantitis, and osteogenic properties to promote bone formation to extend the longevity of oral implants.

The modulation of reward expectancy on the processing of near-miss outcomes: An ERP study.

A near-miss is a situation in which a gambler almost wins but falls short by a small margin, which motivates gambling by making it feel like success is within reach. Existing research has extensively investigated the influence of contextual information on near-miss outcome processing; however, the impact of reward expectancy has received limited attention thus far. To address this gap, we utilized the wheel of fortune task and event-related potential technique (ERP) to quantify the electrophysiological responses associated with gambling outcomes at different levels of reward expectancy. Behaviorally, near-miss outcomes elicited a greater occurrence of counterfactual thoughts, feelings of regret, and heightened anticipation of rewards for subsequent trials compared to full-miss outcomes. ERP findings indicated that in contrast to full-miss outcomes, near-miss outcomes diminished feedback-related negativities (FRNs) and amplified P300s when reward expectancy was low, but amplified FRNs and diminished P300s when reward expectancy was high. These findings provide valuable insights into the neural mechanisms underlying the processing of outcome proximity and reward expectancy.

Phytoremediation of molybdenum (Mo)-contaminated soil using plant and humic substance.

The severity of soil molybdenum (Mo) pollution is increasing, and effective management of contaminated soil is essential for the sustainable development of soil. To investigate this, a pot experiment was carried out to assess the impact of different rates of humic acid (HA) and fulvic acid (FA) on the mobility of Mo in soil solution and its uptake by alfalfa, wheat and green bristlegrass. The concentration of Mo in Plants and soil was determined using an Atomic Absorption Spectrophotometer. The findings revealed that the application of HA led to an increase in Mo accumulation in the shoot and root of green bristlegrass and wheat, ranging from 10.56 % to 28.73 % and 62.15-115.79 % (shoot), and 17.52-46.53 % and 6.29-81.25 % (root), respectively. Nonetheless, the use of HA resulted in a slight inhibition of plant Mo uptake, leading to reduced Mo accumulation in alfalfa roots compared to the control treatment (from 3284.49 mg/kg to 2140.78-2813.54 mg/kg). On the other hand, the application of FA decreased Mo accumulation in the wheat shoot (from 909.92 mg/kg to 338.54-837.45 mg/kg). Furthermore, the bioavailability of green bristlegrass (with HA) and wheat (with FA) decreased, and the percentage of residual fraction of Mo increased (from 0.39 % to 0.78-0.96 %, from 3.95 % to 3.97∼ 4.34 %). This study aims to elucidate the ternary interaction among Mo, humic substances, and plants (alfalfa, wheat, and green bristlegrass), to enhance both the activation and hyperaccumulation of Mo simultaneously.

The key metabolic signatures and biomarkers of polycyclic aromatic hydrocarbon-induced blood glucose elevation in chinese individuals exposed to diesel engine exhaust.

Due to the complexity of environmental exposure factors and the low levels of exposure in the general population, identifying the key environmental factors associated with diabetes and understanding their potential mechanisms present significant challenges. This study aimed to identify key polycyclic aromatic hydrocarbons (PAHs) contributing to increased fasting blood glucose (FBG) concentrations and to explore their potential metabolic mechanisms. We recruited a highly PAH-exposed diesel engine exhaust testing population and healthy controls. Our findings found a positive association between FBG concentrations and PAH metabolites, identifying 1-OHNa, 2-OHPh, and 9-OHPh as major contributors to the rise in FBG concentrations induced by PAH mixtures. Specifically, each 10 % increase in 1-OHNa, 2-OHPh, and 9-OHPh concentrations led to increases in FBG concentrations of 0.201 %, 0.261 %, and 0.268 %, respectively. Targeted metabolomics analysis revealed significant alterations in metabolic pathways among those exposed to high levels of PAHs, including sirtuin signaling, asparagine metabolism, and proline metabolism pathway. Toxic function analysis highlighted differential metabolites involved in various dysglycemia-related conditions, such as cardiac arrhythmia and renal damage. Mediation analysis revealed that 2-aminooctanoic acid mediated the FBG elevation induced by 2-OHPh, while 2-hydroxyphenylacetic acid and hypoxanthine acted as partial suppressors. Notably, 2-aminooctanoic acid was identified as a crucial intermediary metabolic biomarker, mediating significant portions of the associations between the multiple different structures of OH-PAHs and elevated FBG concentrations, accounting for 16.73 %, 10.84 %, 10.00 %, and 11.90 % of these effects for 1-OHPyr, 2-OHFlu, the sum concentrations of 2- and 9-OHPh, and the sum concentrations of total OH-PAHs, respectively. Overall, our study explored the potential metabolic mechanisms underlying the elevated FBG induced by PAHs and identified 2-aminooctanoic acid as a pivotal metabolic biomarker, presenting a potential target for intervention.

Camera-Based 3D Semantic Scene Completion With Sparse Guidance Network.

Semantic scene completion (SSC) aims to predict the semantic occupancy of each voxel in the entire 3D scene from limited observations, which is an emerging and critical task for autonomous driving. Recently, many studies have turned to camera-based SSC solutions due to the richer visual cues and cost-effectiveness of cameras. However, existing methods usually rely on sophisticated and heavy 3D models to process the lifted 3D features directly, which are not discriminative enough for clear segmentation boundaries. In this paper, we adopt the dense-sparse-dense design and propose a one-stage camera-based SSC framework, termed SGN, to propagate semantics from the semantic-aware seed voxels to the whole scene based on spatial geometry cues. Firstly, to exploit depth-aware context and dynamically select sparse seed voxels, we redesign the sparse voxel proposal network to process points generated by depth prediction directly with the coarse-to-fine paradigm. Furthermore, by designing hybrid guidance (sparse semantic and geometry guidance) and effective voxel aggregation for spatial geometry cues, we enhance the feature separation between different categories and expedite the convergence of semantic propagation. Finally, we devise the multi-scale semantic propagation module for flexible receptive fields while reducing the computation resources. Extensive experimental results on the SemanticKITTI and SSCBench-KITTI-360 datasets demonstrate the superiority of our SGN over existing state-of-the-art methods. And even our lightweight version SGN-L achieves notable scores of 14.80% mIoU and 45.45% IoU on SeamnticKITTI validation with only 12.5 M parameters and 7.16 G training memory. Code is available at https://github.com/Jieqianyu/SGN.

Sophocarpine inhibits the progression of glioblastoma via PTEN/PI3K/Akt signaling pathway.

Glioblastoma multiforme (GBM) is the most fatal primary brain tumor which lacks effective treatment drugs. Alkaloids are known as a class of potential anti-tumor agents. Sophocarpine, a tetracyclic quinazoline alkaloid derived from Sophora alopecuroides L., possesses several pharmacological effects including anti-tumor effects in some malignancies. However, the effect and mechanism of sophocarpine on GBM remains to be explored. In this study, based on in vitro experiments, we found that sophocarpine significantly inhibited the viability, proliferation and migration of GBM cells including U251 and C6 cells in a dose- and time-dependent manner. Besides, sophocarpine arrested GBM cell cycle in G0/G1 phase and induced their apoptosis. Subsequently, we found that sophocarpine upregulated the expression of PTEN, a GBM tumor suppressor, and downregulated PI3K/Akt signaling in GBM cells. Moreover, inactivating of PTEN with bpV(phen) trihydrate partially restored the anti-GBM effects of sophocarpine via PI3K/Akt signaling. Finally, sophocarpine significantly inhibited the growth of tumor both in subcutaneous and orthotopic U251 xenograft GBM model in nude mice via PTEN/PI3K/Akt axis. Taken together, these results suggested that sophocarpine impeded GBM progression via PTEN/PI3K/Akt axis both in vitro and in vivo, providing with a promising therapy for treating GBM.

Predicting Depression Among Chinese Patients with Narcolepsy Type 1: A Machine-Learning Approach.

Objective: Depression is a common psychiatric issue among patients with narcolepsy type 1 (NT1). Effective management requires accurate screening and prediction of depression in NT1 patients. This study aims to identify relevant factors for predicting depression in Chinese NT1 patients using machine learning (ML) approaches. Methods: A total of 203 drug-free NT1 patients (aged 5-61), diagnosed based on the ICSD-3 criteria, were consecutively recruited from the Sleep Medicine Center at Peking University People's Hospital between September 2019 and April 2023. Depression, daytime sleepiness, and impulsivity were assessed using the Center for Epidemiologic Studies Depression Scale for Children (CES-DC) or the Self-Rating Depression Scale (SDS), the Epworth Sleepiness Scale for adult or children and adolescents (ESS or ESS-CHAD), and the Barratt Impulse Scale (BIS-11). Demographic characteristics and objective sleep parameters were also analyzed. Three ML models-Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM)-were used to predict depression. Model performance was evaluated using receiver operating curve (AUC), accuracy, precision, recall, F1 score, and decision curve analysis (DCA). Results: The LR model identified hallucinations (OR 2.21, 95% CI 1.01-4.90, p = 0.048) and motor impulsivity (OR 1.10, 95% CI 1.02-1.18, p = 0.015) as predictors of depression. Among the ML models, SVM showed the best performance with an AUC of 0.653, accuracy of 0.659, sensitivity of 0.727, and F1 score of 0.696, reflecting its effectiveness in integrating sleep-related and psychosocial factors. Conclusion: This study highlights the potential of ML models for predicting depression in NT1 patients. The SVM model shows promise in identifying patients at high risk of depression, offering a foundation for developing a data-driven, personalized decision-making tool. Further research should validate these findings in diverse populations and include additional psychological variables to enhance model accuracy.

Molecular glue triggers degradation of PHGDH by enhancing the interaction between DDB1 and PHGDH.

Cancer stem cells (CSCs) play a pivotal role in tumor initiation, proliferation, metastasis, drug resistance, and recurrence. Consequently, targeting CSCs has emerged as a promising avenue for cancer therapy. Recently, 3-phosphoglycerate dehydrogenase (PHGDH) has been identified as being intricately associated with the regulation of numerous cancer stem cells. Yet, reports detailing the functional regulators of PHGDH that can mitigate the stemness across cancer types are limited. In this study, the novel "molecular glue" LXH-3-71 was identified, and it robustly induced degradation of PHGDH, thereby modulating the stemness of colorectal cancer cells (CRCs) both in vitro and in vivo. Remarkably, LXH-3-71 was observed to form a dynamic chimera, between PHGDH and the DDB1-CRL E3 ligase. These insights not only elucidate the anti-CSCs mechanism of the lead compound but also suggest that degradation of PHGDH may be a more viable therapeutic strategy than the development of PHGDH inhibitors. Additionally, compound LXH-3-71 was leveraged as a novel ligand for the DDB1-CRL E3 ligase, facilitating the development of new PROTAC molecules targeting EGFR and CDK4 degradation.