Association between outdoor jogging behavior and PM2.5 exposure: Evidence from massive GPS trajectory data in Beijing.

Outdoor jogging is one of the most popular practised exercises worldwide, providing various benefits for health and wellbeing. However, PM2.5 exposure risks of jogging behaviors were rarely explored. This study aims to investigate the association between jogging behavior and PM2.5 exposure with big data. PM2.5 exposure concentration and dose inhalation of individuals were calculated by integrating hourly PM2.5 concentration data and jogging GPS trajectory recorded by a sports app during 2015 in Beijing, after which relationships between jogging behaviors and PM2.5 exposure were unpacked using statistics analysis and structural equation modelling. Experimental results on massive jogging trajectories show that: (1) the average jogging PM2.5 exposure concentration is 60.43 µg/m3, and female joggers inhaled significantly less air pollution dose (19.70 µg) than men (24.91 µg). (2) There exist significant spatiotemporal disparities in jogging exposure to PM2.5. Joggings in the city center, in the morning, on weekdays and in autumn and winter seasons were exposed to higher pollution concentrations. (3) Jogging behavior characteristics, especially distance, activity space size, duration and rotation, were systematically associated with PM2.5 exposure across space and time. (4) The role of gender directly shaped joggers' dose inhalation of PM2.5 pollution and indirectly via duration, timing choice and distance. (5) The effects of weather conditions on joggers' exposure to PM2.5 are mainly via direct effects, whereas the direct impacts of precipitation and wind speed are mitigated by indirect effects stemming from jogging behavior patterns. Our findings provide insights for personal guidance and policy intervention for the sake of promoting physical activity and reducing PM2.5 exposure.

Simulating multiple variability in spatially resolved transcriptomics with scCube.

A pressing challenge in spatially resolved transcriptomics (SRT) is to benchmark the computational methods. A widely-used approach involves utilizing simulated data. However, biases exist in terms of the currently available simulated SRT data, which seriously affects the accuracy of method evaluation and validation. Herein, we present scCube ( https://github.com/ZJUFanLab/scCube ), a Python package for independent, reproducible, and technology-diverse simulation of SRT data. scCube not only enables the preservation of spatial expression patterns of genes in reference-based simulations, but also generates simulated data with different spatial variability (covering the spatial pattern type, the resolution, the spot arrangement, the targeted gene type, and the tissue slice dimension, etc.) in reference-free simulations. We comprehensively benchmark scCube with existing single-cell or SRT simulators, and demonstrate the utility of scCube in benchmarking spot deconvolution, gene imputation, and resolution enhancement methods in detail through three applications.

HCCDB v2.0: Decompose Expression Variations by Single-cell RNA-seq and Spatial Transcriptomics in HCC.

Large-scale transcriptomic data are crucial for understanding the molecular features of hepatocellular carcinoma (HCC). Integrated 15 transcriptomic datasets of HCC clinical samples, the first version of HCC database (HCCDB v1.0) was released in 2018. Through the meta-analysis of differentially expressed genes and prognosis-related genes across multiple datasets, it provides a systematic view of the altered biological processes and the inter-patient heterogeneities of HCC with high reproducibility and robustness. With four years having passed, the database now needs integration of recently published datasets. Furthermore, the latest single-cell and spatial transcriptomics have provided a great opportunity to decipher complex gene expression variations at the cellular level with spatial architecture. Here, we present HCCDB v2.0, an updated version that combines bulk, single-cell, and spatial transcriptomic data of HCC clinical samples. It dramatically expands the bulk sample size by adding 1656 new samples from 11 datasets to the existing 3917 samples, thereby enhancing the reliability of transcriptomic meta-analysis. A total of 182,832 cells and 69,352 spatial spots are added to the single-cell and spatial transcriptomics sections, respectively. A novel single-cell level and 2-dimension (sc-2D) metric is proposed as well to summarize cell type-specific and dysregulated gene expression patterns. Results are all graphically visualized in our online portal, allowing users to easily retrieve data through a user-friendly interface and navigate between different views. With extensive clinical phenotypes and transcriptomic data in the database, we show two applications for identifying prognosis-associated cells and tumor microenvironment. HCCDB v2.0 is available at http://lifeome.net/database/hccdb2.

Factors associated with dysmenorrhoea and menorrhagia improvement in patients with adenomyosis after uterine artery embolisation.

BACKGROUND: This study examined the improvement of dysmenorrhoea and menorrhagia after uterine artery embolisation (UAE) in women with symptomatic adenomyosis and identified factors that could predict the improvement of dysmenorrhoea and menorrhagia. METHODS: This retrospective study included women with adenomyosis who underwent bilateral UAE between December 2014 and December 2016. The percentage of the volume of the absence of contrast enhancement on T1-weighted images was evaluated 5-7 days after UAE. A receiver operating characteristic (ROC) analysis was used to determine a cut-off point and predict the improvement of dysmenorrhoea and menorrhagia. RESULTS: Forty-eight patients were included. At 24 and 36 months after UAE, the improvement rates for dysmenorrhoea and menorrhagia were 60.4% (29/48) and 85.7% (30/35), and the recurrence rates were 19.4% (7/36) and 9.1% (3/33), respectively. Only the percentage of the volume of the absence of contrast enhancement on T1-weighted images was associated with the improvement of dysmenorrhoea (p = 0.001, OR = 1.051; 95% CI: 1.02-1.08) and menorrhagia (p = 0.006, OR = 1.077; 95% CI: 1.021-1.136). When the cut-off value of the ROC analysis was 73.1%, sensitivity, specificity, positive predictive value, and negative predictive value for the improvement of dysmenorrhoea were 58.6%, 94.7%, 94.4%, and 60%, while they were 58.9%, 80%, 100%, 100%, and 45.5% for the improvement of dysmenorrhoea. CONCLUSION: Bilateral UAE for symptomatic adenomyosis led to good improvement of dysmenorrhoea and menorrhagia. The percentage of the volume of the absence of contrast enhancement on T1-weighted images of the uterus in postoperative magnetic resonance imaging might be associated with the improvement of dysmenorrhoea and menorrhagia.

This study examined the improvement of dysmenorrhoea and menorrhagia after uterine artery embolisation in women with symptomatic adenomyosis and identified factors that could predict the improvement of dysmenorrhoea and menorrhagia. This retrospective study included women with adenomyosis who underwent uterine artery embolisation. A total of 48 patients were included. Only the percentage of the volume of the absence of contrast enhancement on T1-weighted images was associated with improvement of dysmenorrhoea and menorrhagia. Bilateral uterine artery embolisation for symptomatic adenomyosis led to good improvement. The percentage of the volume of the absence of contrast enhancement on images in postoperative T1-weighted magnetic resonance imaging of the uterus might be associated with the improvement of dysmenorrhoea and menorrhagia.

Co-contamination and interactions of multiple mycotoxins and heavy metals in rice, maize, soybeans, and wheat flour marketed in Shanghai City.

Mycotoxins and heavy metals extensively contaminate grains and grain products, posing severe health risks. This work implements validated ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and inductively coupled plasma mass spectrometry (ICP-MS) methods to quantify the concentration of 12 mycotoxins and five heavy metals in rice, maize, soybeans, and wheat flour samples marketed in Shanghai. The mixed contamination characteristics were analyzed using correlation cluster analysis and co-contamination index, and the probabilities of all cross combinations of contaminations were analyzed using a self-designed JAVA language program. The results showed that grains and grain products were frequently contaminated with both mycotoxins and heavy metals, mostly with deoxynivalenol (DON), 3-acetyl-deoxynivalenol (3-ADON), 15-acetyl-deoxynivalenol (15-ADON), ochratoxin A (OTA), aflatoxins, fumonisin B1 (FB1), fumonisin B2 (FB2), fumonisin B3 (FB3), arsenic (As), chromium (Cr) and cadmium (Cd). All the samples (100 %) were contaminated with two or more contaminants, and 77.3 % of the samples were co-contaminated with more than four contaminants. In cereals and cereal products, the following combinations were closely associated: (FB3 +3-ADON), (FB1 +As), (FB1 +FB2), (DON+FB1), (DON+Cd), (As+Cd), (DON+Cd+As), (FB1 +FB2 +As), and (DON+3-ADON+15-ADON). The results indicated that mycotoxins and heavy metals frequently co-occurred in Shanghai grains and grain products, and they provided primary data for safety assessments, early warnings, and regulatory measures on these contaminants to protect public health.

DKK2 promotes the progression of oral squamous cell carcinoma through the PI3K/AKT signaling pathway.

OBJECTIVE: This study aimed to investigate the impact of Dickkopf 2 (DKK2) on the progression of oral squamous cell carcinoma (OSCC) and explore its role in the PI3K/AKT signaling transduction pathway. MATERIALS AND METHODS: The study initially examined the expression of the DKK2 gene in OSCC tissues and normal tissues. Simultaneously, the expression of DKK2 in HOK cells and OSCC cells was verified, and changes in DKK2 expression under hypoxic conditions were detected. DKK2 overexpression and knockdown were performed in SCC-15 and CAL-27 cells. Subsequently, the effects of DKK2 on the proliferation, migration and invasion of OSCC were detected. Western blotting was employed to detect the expression of key proteins in the DKK2/PI3K/AKT signaling axis before and after transfection, and further explore the relevant molecular mechanisms. RESULTS: Compared to normal tissues, DKK2 expression was elevated in OSCC tissues. The expression of DKK2 in the SCC-15 and CAL-27 cell lines was higher than that in HOK cells, and hypoxic conditions could promote DKK2 expression. DKK2 overexpression promoted cell proliferation, migration, and invasion, while DKK2 knockdown inhibited these processes. DKK2 overexpression activated the PI3K/AKT pathway, while DKK2 knockdown suppressed this pathway. CONCLUSION: This study suggests that hypoxic conditions enhance the expression of DKK2 in OSCC. DKK2 regulates the proliferation, migration, and invasion of OSCC through the PI3K/AKT signaling pathway.

Sensitivity of substrate translocation in chaperone-mediated autophagy to Alzheimer's disease progression.

Alzheimer's disease (AD) is a progressive brain disorder marked by abnormal protein accumulation and resulting proteotoxicity. This study examines Chaperone-Mediated Autophagy (CMA), particularly substrate translocation into lysosomes, in AD. The study observes: (1) Increased substrate translocation activity into lysosomes, vital for CMA, aligns with AD progression, highlighted by gene upregulation and more efficient substrate delivery. (2) This CMA phase strongly correlates with AD's clinical symptoms; more proteotoxicity links to worse dementia, underscoring the need for active degradation. (3) Proteins like GFAP and LAMP2A, when upregulated, almost certainly indicate AD risk, marking this process as a significant AD biomarker. Based on these observations, this study proposes the following hypothesis: As AD progresses, the aggregation of pathogenic proteins increases, the process of substrate entry into lysosomes via CMA becomes active. The genes associated with this process exhibit heightened sensitivity to AD. This conclusion stems from an analysis of over 10,000 genes and 363 patients using two AI methodologies. These methodologies were instrumental in identifying genes highly sensitive to AD and in mapping the molecular networks that respond to the disease, thereby highlighting the significance of this critical phase of CMA.

Adjuvant Transarterial Chemoembolization With Sorafenib for Portal Vein Tumor Thrombus: A Randomized Clinical Trial.

Importance: Certain patients with hepatocellular carcinoma with portal vein tumor thrombus could benefit from surgical resection, and postoperative adjuvant therapy may lower the incidence of tumor recurrence. Objective: To compare the efficacy and safety of sorafenib plus transarterial chemoembolization vs sorafenib alone as postoperative adjuvant therapy for patients with hepatocellular carcinoma with portal vein tumor thrombus. Design, Setting, and Participants: This was a phase 3, multicenter, randomized clinical trial conducted in 5 hospitals in China. A total of 158 patients were enrolled and randomized from October 2019 to March 2022, with a median follow-up of 28.4 months. Portal vein tumor thrombus was graded by the Cheng classification. Eligible patients with hepatocellular carcinoma with Cheng grade I to III portal vein tumor thrombus (ie, involving segmental or sectoral branches, right- or left-side branch, or main trunk of portal vein) were included. Interventions: Patients were randomly assigned 1:1 to receive transarterial chemoembolization with sorafenib or sorafenib alone as postoperative adjuvant therapy. Sorafenib treatment was started within 3 days after randomization, with an initial dose of 400 mg orally twice a day. In the transarterial chemoembolization with sorafenib group, transarterial chemoembolization was performed 1 day after the first administration of sorafenib. Main Outcomes and Measures: The primary end point was recurrence-free survival. Efficacy was assessed in the intention-to-treat population and safety was assessed in patients who received at least 1 dose of study treatment. Results: Of 158 patients included, the median (IQR) age was 54 (43-61) years, and 140 (88.6%) patients were male. The median (IQR) recurrence-free survival was significantly longer in the transarterial chemoembolization with sorafenib group (16.8 [12.0-NA] vs 12.6 [7.8-18.1] months; hazard ratio [HR], 0.57; 95% CI, 0.39-0.83; P = .002). The median (IQR) overall survival was also significantly longer with transarterial chemoembolization with sorafenib than with sorafenib alone (30.4 [20.6-NA] vs 22.5 [15.4-NA] months; HR, 0.57; 95% CI, 0.36-0.91; P = .02). The most common grade 3/4 adverse event was hand-foot syndrome (23 of 79 patients in the transarterial chemoembolization with sorafenib group [29.1%] vs 24 of 79 patients in the sorafenib alone group [30.4%]). There were no treatment-related deaths in either group. The transarterial chemoembolization with sorafenib group did not show additional toxicity compared with the sorafenib monotherapy group. Conclusion and Relevance: In this study, the combination of sorafenib and transarterial chemoembolization as postoperative adjuvant therapy in patients with hepatocellular carcinoma with portal vein tumor thrombus resulted in longer recurrence-free survival and overall survival than sorafenib alone and was well tolerated. Trial Registration: ClinicalTrials.gov Identifier: NCT04143191.

The Physiological Response of Apricot Flowers to Low-Temperature Stress.

The growth and development of apricot flower organs are severely impacted by spring frosts. To better understand this process, apricot flowers were exposed to temperatures ranging from 0 °C to -8 °C, including a control at 18 °C, in artificial incubators to mimic diverse low-temperature environments. We aimed to examine their physiological reactions to cold stress, with an emphasis on changes in phenotype, membrane stability, osmotic substance levels, and antioxidant enzyme performance. Results reveal that cold stress induces significant browning and cellular damage, with a sharp increase in browning rate and membrane permeability below -5 °C. Soluble sugars and proteins initially rise as osmoprotectants, but their content decreases at lower temperatures. Proline content consistently increases, suggesting a protective role. Antioxidant enzyme activities, including catalase (CAT), peroxidase (POD), superoxide dismutase (SOD), and ascorbate peroxidase (APX), exhibit a complex pattern, with initial increases followed by declines at more severe cold conditions. Correlation and principal component analyses highlight the interplay between these responses, indicating a multifaceted adaptation strategy. The findings contribute to the understanding of apricot cold tolerance and inform breeding efforts for improved crop resilience.

[Determination of adenosine content in heart tissue by ultra performance liquid chromatography-triple quadrupole mass spectrometry].

A method based on ultra performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-MS/MS) was developed and validated for the rapid and accurate determination of adenosine (Ado) in cardiac tissues with high sensitivity and specificity. The samples were dissolved in 1 mL of ultrapure water containing 10 µmol/L 2-hydroxy-3-nonyladenine hydrochloride (EHNA) as a stabilizer, ground at low temperature for 2 min, and then ultrasonically extracted at 60 Hz in an ice-water bath for 40 min. Methanol and 5 mmol/L ammonium acetate solution were used as the mobile phases under a flow rate of 0.4 mL/min, a column temperature of 40 ℃ and an injection volume of 3 µL. The Ado in cardiac tissue was qualitatively and quantitatively analyzed by electrospray ionization (ESI) positive-ion-switching in multiple reaction monitoring (MRM) mode. A solvent standard curve and the external standard method were used for the accurate quantification of Ado. The results showed that the matrix effect of Ado in cardiac tissue was very low. A good linear relationship was obtained in the range of 0.1-160 ng/mL, and the correlation coefficient (r2) was 0.9930. The limits of detection (LOD) and quantification (LOQ) were 0.03 and 0.1 ng/mL, respectively. The spiked recoveries of Ado in murine cardiac tissue were 113.6%, 96.3%, and 102.9% at three spiked levels of low, medium, and high, respectively. The intra-day repeatability (RSDs) were 1.7%-8.4%, and the inter-day reproducibility (RSDs) were 2.6%-7.4%. Based on the correlation and consistency results, a positive bias was observed between the proposed UPLC-MS/MS method and the double-antibody sandwich method. Moreover, the Ado contents detected by these two methods were significantly positively correlated (P<0.0001). Cardiac tissue samples were collected from 17 mice and 17 rats and detected in our laboratory. The content ranges of Ado in the cardiac tissues of mice and rats determined by the developed UPLC-MS/MS method were 3.25-8.78 mg/kg and 10.24-15.19 mg/kg, respectively (average adenosine contents: 5.37 and 12.60 mg/kg, respectively). The developed method is simple, accurate, sensitive, and it is suitable for the determination of Ado in cardiac tissues. It also provides important technical support for cardiac clinical research and disease diagnosis.

The bioremediation of the typical persistent organic pollutants (POPs) by microalgae-bacteria consortia: A systematic review.

With industrialisation and the rapidly growing agricultural demand, many organic compounds have been leaked into the environment, causing serious damage to the biosphere. Persistent organic pollutants (POPs) are a type of toxic chemicals that are resistant to degradation through normal chemical, biological or photolytic approaches. With their stable chemical structures, POPs can be accumulated in the environment, and transported through wind and water, causing global environmental issues. Many researches have been conducted to remediate POPs contamination using various kinds of biological methods, and significant results have been seen. Microalgae-bacteria consortium is a newly developed concept for biological technology in contamination treatment, with the synergetic effects between microalgae and bacteria, their potential for pollutants degradation can be further released. In this review, two types of POPs (polychlorinated biphenyls and polycyclic aromatic hydrocarbons) are selected as the targeted pollutants to give a systematic analysis of the biodegradation through microalgae and bacteria, including the species selection, the identification of dominant enzymes, as well as the real application performance of the consortia. In the end, some outlooks and suggestions are given to further guide the development of applying microalgae-bacteria consortia in remediating POPs contamination. In general, the coculturing of microalgae and bacteria is a novel and efficient way to fulfil the advanced treatment of POPs in soil or liquid phase, and both monooxygenase and dioxygenase belonging to oxygenase play a vital role in the biodegradation of PCBs and PAHs. This review provides a general guide in the future investigation of biological treatment of POPs.

Salvianolic acid C attenuates cerebral ischemic injury through inhibiting neuroinflammation via the TLR4-TREM1-NF-κB pathway.

BACKGROUND: Stroke is a leading cause of mortality and disability with ischemic stroke being the most common type of stroke. Salvianolic acid C (SalC), a polyphenolic compound found in Salviae Miltiorrhizae Radix et Rhizoma, has demonstrated therapeutic potential in the recovery phase of ischemic stroke. However, its pharmacological effects and underlying mechanisms during the early stages of ischemic stroke remain unclear. This study aimed to examine the potential mechanism of action of SalC during the early phase of ischemic stroke using network pharmacology strategies and RNA sequencing analysis. METHODS: SalC effects on infarct volume, neurological deficits, and histopathological changes were assessed in a mouse model of transient middle cerebral artery occlusion (tMCAO). By integrating RNA sequencing data with a cerebral vascular disease (CVD)-related gene database, a cerebral ischemic disease (CID) network containing dysregulated genes from the tMCAO model was constructed. Network analysis algorithms were applied to evaluate the key nodes within the CID network. In vivo and in vitro validation of crucial targets within the identified pathways was conducted. RESULTS: SalC treatment significantly reduced infarct volume, improved neurological deficits, and reversed pathological changes in the tMCAO mouse model. The integration of RNA sequencing data revealed an 80% gene reversion rate induced by SalC within the CID network. Among the reverted genes, 53.1% exhibited reversion rates exceeding 50%, emphasizing the comprehensive rebalancing effect of SalC within the CID network. Neuroinflammatory-related pathways regulated by SalC, including the toll-like-receptor 4 (TLR4)- triggering receptor expressed on myeloid cells 1 (TREM1)-nuclear factor kappa B (NF-κB) pathway, were identified. Further in vivo and in vitro experiments confirmed that TLR4-TREM1-NF-κB pathway was down-regulated by SalC in microglia, which was essential for its anti-inflammatory effect on ischemic stroke. CONCLUSIONS: SalC attenuated cerebral ischemic injury by inhibiting neuroinflammation mediated by microglia, primarily through the TLR4-TREM1-NF-κB pathway. These findings provide valuable insights into the potential therapeutic benefits of SalC in ischemic stroke.

Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users.

Extended reality (XR) devices such as the Meta Quest and Apple Vision Pro have seen a recent surge in attention, with motion tracking "telemetry" data lying at the core of nearly all XR and metaverse experiences. Researchers are just beginning to understand the implications of this data for security, privacy, usability, and more, but currently lack large-scale human motion datasets to study. The BOXRR-23 dataset contains 4,717,215 motion capture recordings, voluntarily submitted by 105,852 XR device users from over 50 countries. BOXRR-23 is over 200 times larger than the largest existing motion capture research dataset and uses a new, highly efficient and purpose-built XR Open Recording (XROR) file format.

Atezolizumab Plus Bevacizumab Combined with Transarterial Embolization Plus Hepatic Arterial Infusion Chemotherapy for Unresectable Hepatocellular Carcinoma with a Diameter >8 Cm: A Retrospective Study.

Purpose: Local in combination with systemic therapy might be an option for patients with advanced unresectable hepatocellular carcinoma (uHCC). This study examined the clinical benefits and adverse events (AEs) of first-line transarterial embolization (TAE) and hepatic arterial infusion chemotherapy (HAIC) combined with atezolizumab (Atezo) and bevacizumab (Bev) in patients with uHCC of a diameter larger than 8 cm. Patients and methods: This retrospective study included patients with uHCC of a diameter larger than 8 cm who were treated with first-line Atezo-Bev and TAE+HAIC at the First Affiliated Hospital of Sun Yat-Sen University between September 30, 2019, and September 30, 2022. Progression-free survival (PFS), overall survival (OS), tumor response according to mRECIST, and AEs were analyzed. Multivariable Cox analyses were performed to examine the factors associated with PFS. Results: Thirty patients were included. The objective response rate (ORR) was 74.4% (95% confidence interval [CI], 59.3%-89.5%), and the disease control rate (DCR) was 93.3% (95% CI, 85.4%-98.6%). The median follow-up was 11.4 (inter-quartile range [IQR], 5.5-17.9) months. The median PFS was 6.8 (95% CI, 2.6-11.1) months. The 3-, 6-, 9-, and 12-month survival rates were 86.2%, 82.5%, 68.6%, and 60%, respectively. The median OS was not estimated. Extrahepatic metastasis was independently associated with PFS (hazard ratio [HR]=3.468, 95% CI, 1.001-12.023). The most common AEs were fever (46.7%). Grade 4 AEs occurred one time as hematemesis but no 5 AEs were observed. Conclusion: Atezo-Bev combined with TAE and HAIC might benefit patients with uHCC of a diameter larger than 8 cm, with manageable AEs.

Transfer learning empowers accurate pharmacokinetics prediction of small samples.

Accurate assessment of pharmacokinetic (PK) properties is crucial for selecting optimal candidates and avoiding downstream failures. Transfer learning is an innovative machine learning approach enabling high-throughput prediction with limited data. Recently, transfer learning methods showed promise in predicting ADME/PK parameters. Given the prolific growth of research on transfer learning for PK prediction, a comprehensive review of its advantages and challenges is imperative. This study explores the fundamentals, classifications, toolkits and applications of various transfer learning techniques for PK prediction, demonstrating their utility through three practical case studies. This work will serve as a reference for drug design researchers.

Screening and dietary exposure assessment of T-2 toxin and its modified forms in commercial cereals and cereal-based products in Shanghai.

A reliable and sensitive UPLC-MS/MS method coupled with HLB-SPE was developed for simultaneous determination of T-2 and its modified forms (HT-2, NEO, T-2-triol, T-2-tetraol, T-2-3G, and HT-2-3G) in cereals and cereal-based products. Acceptable linearity (R2 ≥ 0.99), limits of quantitation (0.5-10.0 µg/kg), intra-day precision (RSD < 12.8 %), inter-day precision (RSD ≤ 15.8 %), and recovery (76.8 %-115.2 %) were obtained for all analytes in all matrices investigated. 107 commercial foodstuffs were analyzed, and T-2 was detected in 29.0 % of maize and maize flour samples (0.51 to 56.61 µg/kg) and in 10-33.3 % of wheat flour and barley samples (1.27 to 78.51 µg/kg). Moreover, 66.7 % of the positive samples were simultaneously contaminated with two or more T-2 forms. The possible health risk related to T-2 and its modified forms in cereals and cereal-based products was evaluated using a probabilistic dietary exposure assessment. The 95th percentile dietary exposure values of the sum of T-2 forms ranged from 0.16 to 1.70 ng/kg b.w./day for lower bound (LB), and 0.17 to 7.59 ng/kg b.w./day for upper bound (UB). Results strongly suggested that the presence of T-2 and its modified forms in cereals and cereal-based products warrants greater attention and investigation, although probabilistic dietary exposure values currently remain below the tolerable daily intake (TDI) value of 20 ng/kg b.w./day.

Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors.

BACKGROUND: Pituitary neuroendocrine tumors (PitNETs) are one of the most common types of intracranial tumors. Currently, the cellular characteristics of normal pituitary and various other types of PitNETs are still not completely understood. METHODS: We performed single-cell RNA sequencing (scRNA-seq) on 4 normal samples and 24 PitNET samples for comprehensive bioinformatics analysis. Findings regarding the function of PBK in the aggressive tumor cells were validated by siRNA knockdown, overexpression, and transwell experiments. RESULTS: We first constructed a reference cell atlas of the human pituitary. Subsequent scRNA-seq analysis of PitNET samples, representing major tumor subtypes, shed light on the intrinsic cellular heterogeneities of the tumor cells and tumor microenvironment (TME). We found that the expression of hormone-encoding genes defined the major variations of the PIT1-lineage tumor cell transcriptomic heterogeneities. A sub-population of TPIT-lineage tumor cells highly expressing GZMK suggested a novel subtype of corticotroph tumors. In immune cells, we found two clusters of tumor-associated macrophages, which were both highly enriched in PitNETs but with distinct functional characteristics. In PitNETs, the stress response pathway was significantly activated in T cells. While a majority of these tumors are benign, our study unveils a common existence of aggressive tumor cells in the studied samples, which highly express a set of malignant signature genes. The following functional experiments confirmed the oncogenic role of selected up-regulated genes. The over-expression of PBK could promote both tumor cell proliferation and migration, and it was also significantly associated with poor prognosis in PitNET patients. CONCLUSIONS: Our data and analysis manifested the basic cell types in the normal pituitary and inherent heterogeneity of PitNETs, identified several features of the tumor immune microenvironments, and found a novel epithelial cell sub-population with aggressive signatures across all the studied cases.

scCancer2: data-driven in-depth annotations of the tumor microenvironment at single-level resolution.

SUMMARY: Single-cell RNA-seq (scRNA-seq) is a powerful technique for decoding the complex cellular compositions in the tumor microenvironment (TME). As previous studies have defined many meaningful cell subtypes in several tumor types, there is a great need to computationally transfer these labels to new datasets. Also, different studies used different approaches or criteria to define the cell subtypes for the same major cell lineages. The relationships between the cell subtypes defined in different studies should be carefully evaluated. In this updated package scCancer2, designed for integrative tumor scRNA-seq data analysis, we developed a supervised machine learning framework to annotate TME cells with annotated cell subtypes from 15 scRNA-seq datasets with 594 samples in total. Based on the trained classifiers, we quantitatively constructed the similarity maps between the cell subtypes defined in different references by testing on all the 15 datasets. Secondly, to improve the identification of malignant cells, we designed a classifier by integrating large-scale pan-cancer TCGA bulk gene expression datasets and scRNA-seq datasets (10 cancer types, 175 samples, 663 857 cells). This classifier shows robust performances when no internal confidential reference cells are available. Thirdly, scCancer2 integrated a module to process the spatial transcriptomic data and analyze the spatial features of TME. AVAILABILITY AND IMPLEMENTATION: The package and user documentation are available at http://lifeome.net/software/sccancer2/ and https://doi.org/10.5281/zenodo.10477296.

Quantitative Parameters of Contrast-Enhanced Ultrasound Predicting the Response to Combined Immune Checkpoint Inhibitor and Anti-angiogenesis Therapies for Unresectable Hepatocellular Carcinoma.

OBJECTIVE: The aim of the work described here was to explore the value of contrast-enhanced ultrasound (CEUS) quantitative parameters in predicting the response of combined immune checkpoint inhibitor (ICI) and anti-angiogenesis therapies for unresectable hepatocellular carcinoma (HCC). METHODS: Sixty-six HCC patients who underwent combined ICI and anti-angiogenesis therapies were prospectively enrolled. A CEUS examination was performed at baseline, and tumor perfusion parameters were obtained with perfusion quantification software. The differences in CEUS quantitative parameters between the responder and non-responder groups were compared, and the correlations between CEUS parameters and progression-free survival (PFS) was evaluated. RESULTS: The objective response rate (ORR) was 21.2%. The values of rising time (RT) ratio, time to peak ratio, fall time ratio, peak enhancement ratio, wash-in rate ratio, wash-in perfusion index ratio and wash-out rate ratio differed significantly differed between the responder and non-responder groups (all p values < 0.05). Multivariable logistic regression analysis revealed that the RT ratio was the only independent factor associated with the ORR (odds ratio = 0.007, 95% confidence interval: 0.000-0.307, p = 0.010). The median RT ratios of the responder and non-responder groups were 36.9 and 58.9, respectively (p = 0.006). The appropriate cutoff point of the RT ratio was 80.1, determined with the X-tile program. Survival analysis indicated high PFS for the patients with a lower RT ratio (high RT ratio vs. low RT ratio = 4.4 mo vs. not reached, p = 0.001). CONCLUSION: CEUS quantitative parameters may predict the efficacy of ICI and anti-angiogenesis combined therapies for HCC.

Size-dependent influences of nanoplastics on microbial consortium differentially inhibiting 2, 4-dichlorophenol biodegradation.

Nanoplastics (NPs), as a type of newly emerging pollutant, are ubiquitous in various environmental systems, one of which is coexistence with organic pollutants in wastewater, potentially influencing the pollutants' biodegradation. A knowledge gap exists regarding the influence of microbial consortium and NPs interactions on biodegradation efficiency. In this work, a 2,4-dichlorophenol (DCP) biodegradation experiment with presence of polystyrene nanoplastics (PS-NPs) with particle sizes of 100 nm (PS100) or 20 nm (PS20) was conducted to verify that PS-NPs had noticeable inhibitory effect on DCP biodegradation in a size-dependent manner. PS100 at 10 mg/L and 100 mg/L both prolonged the microbial stagnation compared to the control without PS-NPs; PS20 exacerbated greater, with PS20 at 100 mg/L causing a noticeable 6-day lag before the start-up of rapid DCP reduction. The ROS level increased to 1.4-fold and 1.8-fold under PS100 and PS20 exposure, respectively, while the elevated LDH under PS20 exposure indicated the mechanical damage to cell membrane by smaller NPs. PS-NPs exposure also resulted in a decrease in microbial diversity and altered the niches of microbial species, e.g., they decreased the abundance of some functional bacteria such as Brevundimonas and Comamonas, while facilitated some minor members to obtain more proliferation. A microbial network with higher complexity and less competition was induced to mediate PS-NPs stress. Functional metabolism responded differentially to PS100 and PS20 exposure. Specifically, PS100 downregulated amino acid metabolism, while PS20 stimulated certain pathways in response to more severe oxidative stress. Our findings give insights into PS-NPs environmental effects concerning microflora and biological degradation.