Activation of CD4+ T Cell-Derived Cannabinoid Receptor 2 Signaling Exacerbates Sepsis via Inhibiting IL-10.

The cannabinoid receptor 2 (CB2) is a receptor mainly expressed in immune cells and believed to be immunosuppressive in infective or inflammatory models. However, its role in sepsis has not been fully elucidated. In this study, we delineate the function and mechanism of CB2 in the cecal ligation and puncture-induced septic model in mice. The activation of CB2 signaling with HU308 led to decreased survival rates and more severe lung injury in septic mice, and lower IL-10 levels in peritoneal lavage fluid were observed in the CB2 agonist group. The mice with conditional knockout of CB2-encoding gene CNR2 in CD4+ T cells (CD4 Cre CNR2fl/fl) improved survival, enhanced IL-10 production, and ameliorated pulmonary damage in the sepsis model after CB2 activation. In addition, double-knockout of the CNR2 gene (Lyz2 Cre CD4 Cre CNR2fl/fl) decreased the susceptibility to sepsis compared with Lyz2 Cre CNR2fl/fl mice. Mechanistically, the blockade of IL-10 with the anti-IL-10 Ab abolished its protection in CD4 Cre CNR2fl/fl mice. In accordance with the animal study, in vitro results revealed that the lack of CNR2 in CD4+ cells elevated IL-10 production, and CB2 activation inhibited CD4+ T cell-derived IL-10 production. Furthermore, in the clinical environment, septic patients expressed enhanced CB2 mRNA levels compared with healthy donors in PBMCs, and their CB2 expression was inversely correlated with IL-10. These results suggested that the activation of CD4+ T cell-derived CB2 increased susceptibility to sepsis through inhibiting IL-10 production.

Laminarin-modulated osmium nanozymes with high substrate-affinity and selective peroxidase-like behavior engineered colorimetric assay for hydroxyl radical scavenging capacity estimation.

Hydroxyl radical (·OH) scavenging capacity (HOSC) estimation is essential for evaluating antioxidants, natural extracts, or drugs against clinical diseases. While nanozymes offer advantages in related applications, they still face limitations in activity and selectivity. In response, this work showcases the fabrication of laminarin-modulated osmium (laminarin-Os) nanoclusters (1.45 ± 0.05 nm), functioning as peroxidase-like nanozymes within a colorimetric assay tailored for rational HOSC estimation. This study validates both the characterization and remarkable stability of laminarin-Os. By leveraging the abundant surface negative charges of laminarin-Os and the surface hydroxyls of laminarin, oxidation reactions are facilitated, augmenting laminarin-Os's affinity for 3,3',5,5'-tetramethylbenzidine (TMB) (KM = 0.04 mM). This enables the laminarin-Os-based colorimetric assay to respond to ·OH more effectively than citrate-, albumin-, or other polysaccharides-based Os. In addition, experimental results also validate the selective peroxidase-like behavior of laminarin-Os under acidic conditions. Antioxidants like ascorbic acid, glutathione, tannic acid, and cysteine inhibit absorbance at 652 nm in the colorimetric platform using laminarin-Os's peroxidase-like activity. Compared with commercial kits, this assay demonstrates superior sensitivity (e.g., responds to ascorbic acid 0.01-0.075 mM, glutathione 1-15 µg/mL, tannic acid 0.5-5 µM, and monoammonium glycyrrhizinate cysteine 1.06-10.63 µM) and HOSC testing for glutathione, tannic acid, and monoammonium glycyrrhizinate cysteine. Overall, this study introduces a novel Os nanozyme with exceptional TMB affinity and ·OH selectivity, paving the way for HOSC estimation in biomedical research, pharmaceutical analysis, drug quality control, and beyond.

Key factors impacting treatment efficiency in actual copper mineral processing wastewater by ozonation.

Ozone advanced oxidation has been widely used in water treatment, but little research has been reported on the application of ozone to difficult-to-degrade mineral wastewater. In this paper, the effect of ozonation application in the treatment of copper mineral processing wastewater, which is difficult to be effectively treated by traditional processes due to its complex composition, was investigated. The effects of ozonation time, ozone concentration, temperature and pH on the degradation of organic compounds in the wastewater by ozonation were researched. It was found that the chemical oxygen demand (COD) of the wastewater could be reduced by 83.02% by ozonation under optimal treatment conditions. In addition, the mechanism of ozone degradation of the difficult-to-degrade wastewater was studied, and the reasons for the fluctuating variations of COD and ammonia nitrogen during ozonation treatment were explained.

[Visualization of research in treatment of vascular dementia by CiteSpace].

In light of the tremendous number of patients with vascular dementia in China, it is of great significance for the treatment of this disease to summarize related research focuses. In this study, articles on the treatment of vascular dementia, which were included in CNKI and Web of Science from January 1, 2012 to December 31, 2021, were analyzed. Specifically, CiteSpace 5.7.R2 was employed to visualize nationalities of authors, author affiliations, authors, keywords, and journals, and dissect the status quo and trend of research on the treatment of this disease. On this basis, the research focuses and evolution were elucidated. The findings are expected to serve as reference for the future research. Finally, 2 579 Chinese articles and 453 English articles were included. The annual number of published articles showed an upward trend. Authors from China published most papers and England had the highest centrality value. HU Yue-qiang and LIU Cun-zhi respectively published the most Chinese and English articles. Guangxi University of Chinese Medicine and Capital Medical University respectively topped the author affiliations in the number of published Chinese and English articles. Among the English journals, Anal Biochem and Stroke separately boasted the highest centrality value and the highest cited frequency. The analysis of keywords in the Chinese articles suggested that most studies on the treatment of vascular dementia focused on the observation of patients' mobility after treatment. Moreover, as for the therapeutic method, western medicine, as well as the Chinese medicine and acupuncture frequently attracted the attention of scholars. Basic research highlighted the oxidative stress, angiogenesis, and apoptosis. According to the analysis result of keywords in English articles on treatment of vascular dementia, the focus was the improvement of the memory function of patients with vascular dementia. As to the therapeutic method, drug therapy was frequently studied compared with other methods. The basic research focused on autophagy, nerve regeneration, and oxidative stress. This study concludes that the future research trend might be the combination of Chinese and western medicine in the treatment of vascular dementia.

Antiviral drugs arbidol and interferon alpha-1b contribute to reducing the severity of COVID-19 patients: a retrospective cohort study.

OBJECTIVES: The aim of this study was to evaluate the role of antiviral drugs in reducing the risk of developing severe illness in patients with moderate COVID-19 pneumonia. METHODS: This retrospective cohort study included 403 adult patients with moderate COVID-19 pneumonia who were admitted to Shenzhen Third People's Hospital, China. The antiviral drugs arbidol, interferon alpha-1b, lopinavir-ritonavir and ribavirin were distributed to the patients for treatment. The primary endpoint of this study was the time to develop severe illness. RESULTS: Of the 462 patients admitted, 403 had moderate COVID-19 symptoms at hospital admission and were included in this study. 90 of the 403 (22.3%) patients progressed to severe illness. The use of arbidol was associated with a lower severity rate 3.5% compared to control group 30.5%, p-value < 0.0001; the adjusted hazard ratio was 0.28 (95% CI: 0.084-0.90, p = 0.033). The use of interferon alpha-1b was associated with a lower severity rate 15.5% compared to control group 29.3%, with p-value < 0.0001; the adjusted hazard ratio was 0.30 (95% CI: 0.15-0.58, p =  0.0005). The use of lopinavir-itonavir and ribavirin did not show significant differences in adjusted regression models. Early use of arbidol within 7 days of symptom onset was significantly associated with a reduced recovery time of - 5.2 days (IQR - 3.0 to - 7.5, p = 4e-06) compared with the control group. CONCLUSION: Treatment with arbidol and interferon alpha-1b contributes to reducing the severity of illness in patients with moderate COVID-19 pneumonia. Early use of arbidol may reduce patients' recovery time.

Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19.

Psychological health problems, especially emotional disorders, are common among adolescents. The epidemiology of emotional disorders is greatly influenced by stressful events. This study sought to assess the prevalence rate and socio-demographic correlates of depressive and anxiety symptoms among Chinese adolescents affected by the outbreak of COVID-19. We conducted a cross-sectional study among Chinese students aged 12-18 years during the COVID-19 epidemic period. An online survey was used to conduct rapid assessment. A total of 8079 participants were involved in the study. An online survey was used to collect demographic data, assess students' awareness of COVID-19, and assess depressive and anxiety symptoms with the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) questionnaire, respectively. The prevalence of depressive symptoms, anxiety symptoms, and a combination of depressive and anxiety symptoms was 43.7%, 37.4%, and 31.3%, respectively, among Chinese high school students during the COVID-19 outbreak. Multivariable logistic regression analysis revealed that female gender was the higher risk factor for depressive and anxiety symptoms. In terms of grades, senior high school was a risk factor for depressive and anxiety symptoms; the higher the grade, the greater the prevalence of depressive and anxiety symptoms. Our findings show there is a high prevalence of psychological health problems among adolescents, which are negatively associated with the level of awareness of COVID-19. These findings suggest that the government needs to pay more attention to psychological health among adolescents while combating COVID-19.

An electrochemical sarcosine sensor based on biomimetic recognition.

A nonenzymatic electrochemical sensor is described for the prostate cancer biomarker sarcosine (Sar). Riboflavin was employed to mimic the active center of the enzyme sarcosine oxidase for constructing the biomimetic sensor. The use of riboflavon (Rf) avoids the disadvantages of an enzymatic sensor, such as high cost and poor stability. A glassy carbon electrode (GCE) was modified with a graphene-chitosan (GR) composite and further modified with gold-platinum bimetallic nanoparticles in a polypyrrole (PPy) matrix in order to enhance the catalytic activity of the enzyme mimic. Finally, Rf was electrodeposited on the surface of the AuPt-PPy/GR-modified GCE. Under optimized conditions, the GCE provided high sensitivity and selectivity for Sar at around 0.61 V. Response covers the 2.5-600 µM concentration range, and the detection limit is 0.68 µM. The method was successfully applied to the determination of Sar in spiked urine with 98.0%-103.2% recovery. Graphical abstract Schematic presentation of the fabrication of the Rf/AuPt-PPy/GR/GCE surface and the measurement principle by differential pulse voltammetry (DPV).

[Preliminary study on two analytical methods for evaluation of traditional Chinese medicine syndromes model in rats with blood stasis due to sleep deprivation].

The comparison on evaluating blood stasis syndrome in sleep deprived rats was carried out by using R, G, B image analysis of Tongue and palm as well as auricle, palm surface laser Doppler flow perfusion. The experiment was performed by means of a small platform on the water environment for sleep deprivation. The rats were weekly weighed at fixed time, and their macroscopic signs were observed; and their tongue and palm images of the control and model group were respectively collected by the SLR camera at the 2nd, 4th and 6th week. Then the color saturation analysis was performed by means of proofreading with the standard colorimetric card. At the same time, the laser dopper flowmetry was used to analyze the perfusion of auricle and foot flow in rats. It turned out that there was no significant difference in the R,G,B value of the tongue and palm in rats between normal group and model group at the first stage(at the 2nd week), so were the perfusion of auricle and foot flow in rats. But at the second stage (at the 4th week), the R value of tongue in model group rats was obviously lower than that in normal group(P<0.01), and the other value (G,B) of tongue in module rats had a decease tendency, but there was no statistical significance. However, the perfusion of left and right auricle flow in model group rats were dramatically decreased as compared with the normal group(P<0.01); there was still no significant difference in the perfusion of the palm between two groups. It was found that R,G,B value in model group had a lower trend as compared with the control group of the tongue and palm images at the third stage (at the 6th week), but no statistically significant difference. The perfusion of left and right auricle flow in model group was constantly decreased as compared with the normal group(P<0.01).Right and left foot blood flow was lower than the normal group, but no statistically significant difference. We can safely conclude that the results of the R, G, B values of the tongue in rats could objectively reflect the characteristics of the rats with blood stasis syndrome, which were consistent with the diagnosis of clinical tongue image. As a method of microcirculation evaluation, the surface laser doppler perfusion of auricle can exhibit the characteristics of blood stasis in model rats, but also was more objective and reproducible. Therefore, the combination of R, G, B value of tongue as well as auricle laser doppler blood flow is more beneficial to the objective evaluation of index in the later study of traditional Chinese medicine blood stasis syndrome model.

[Research of characteristic spectrum of Qi deficiency syndrome based on literature mining technology].

As a basic syndrome of Chinese medicine, the study of characteristic syndrome spectrum of Qi deficiency syndrome is of great significance for the standardization of clinical diagnosis and modern material basis research. Suitable operators and algorithms were chosen to dig out the relationship between diseases, syndromes, symptoms, detection indicators and etiologist from the literature of Chinese clinical and basic research by literature mining method of frequency statistics, association rules and complex network analysis. Moreover, the information system of Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences was taken as the tools of data mining. The objective was to study the characteristic spectrum of Qi deficiency syndrome and to explore the characteristics of Qi deficiency syndrome. The results showed that the syndrome of fatigue, dietary were the main factors. The main pathogenesis of coronary heart disease, heart failure, chronic obstructive pulmonary disease, diabetes and stroke the disease were Qi deficiency. The clinical features of Qi deficiency syndrome were fatigue, shortness of breath and pale tongue. The biological indicators of Qi deficiency related were blood lipids, ECG, blood rheology, inflammatory reaction, NO, ET and NF-κB signalling pathway. The Qi deficiency syndrome on the level of syndrome spectrum was studied by the method of literature mining, which would provide reliable characteristic guidance data for the research on the substantial basis of Qi deficiency, the research on standard of diagnosis, establishment of syndrome model, the study on combination of disease and syndrome and the mechanism of prescriptions.

[Quantitative proteomic research of biological basis of Buyang Huanwu decoction therapy for cerebral infarction combined with Qi-deficiency and blood-stasis syndrome].

Chinese medicine Buyang Huanwu decoction (BYHW) is widely used in treating cerebral infarction combined with Qi-deficiency and blood-stasis syndrome, but the pharmacological basis is still not clear. This study aims to uncover the biological basis of BYHW therapy for cerebral infarction combined with Qi-deficiency and blood-stasis syndrome using label-free proteomic technology. Using Qi deficiency and blood stasis rat cerebral infarction model as the research object, the protein expression of rat brain tissue was compared among the sham operation group, the model group and the drug group. Quantitative analysis of the 3 groups of tissue samples detected 3 959, 3 996 and 4 055 proteins in the sham operation group, the model group and the drug group, respectively. Take model group as the control group, 391 proteins were identified to be upregulated or downregulated for more than 2 folds. Biological analysis and functional enrichment of the differentially expressed proteins revealed that BYHW may treat cerebral infarction combined with Qi-deficiency and blood-stasis syndrome through energy metabolism, nervous system and several signal pathways. This study preliminarily revealed the pharmacological mechanism of BYHW at the protein level, and provided a molecular basis for clinical treatment and traditional Chinese medicine research on cerebral infarction combined with Qi-deficiency and blood-stasis syndrome.

[Study on establishment of an animal model of Qi deficiency syndrome base on theory of over exertion leading to Qi consumption in traditional Chinese medicine].

Based on the theory of "overexertion leading to Qi consumption", this study aimed to compare the intervention factors of nervous and physical fatigue to establish a rat model of Qi deficiency syndrome, moreover, the systematic evaluationsystem was necessary with the standard of syndrome diagnosis of Qi deficiency. According to the clinical-mimetic principle the Qi deficiency syndrome animal model is established by the factors of sleep deprivation(SD) and exhaustive swimming(ES). Rats were randomly divided into four groups, normal group, SD group, ES group and compound group (exhaustion swimming complex sleep deprivation). The method of ES was force rats to swim until the exhaustion with 5% of weight, and the SD method by using multi-platform sleep deprivation of water environment randomly 14-16 h daily, and the complex set by using of two methods was combined. The movement distance, average speed, activity time and numbers into the central area were detected by open field test, swimming exhaustion time was detected by swimming exhaustion method, the cardiac function (LVEF, CO, FS, LVDd) was detected by echocardiography, tongue imaging analysis and pulsedistention as the index of tongue and pulse diagnosis, the content of ATP and ADP in serum was detected by ELISA, the blood coagulation indexes for blood stasis syndrome as the additional. These results indicated that independent activity, body weight and exercise capacity were decreased significantly, the neurological function injured significantly, heart function was decreased significantly, the tongue surface color was pale white, and the pulse distention was decreased significantly. The content of ATP decreased significantly and the ADP increased significantly. By the method of four-diagnostic evaluation system to compare the factors of SD and ES, the Qi deficiency syndrome animalmodel could be successfully established by sleep deprivation method.

Activation of TLR2 and TLR6 by Dengue NS1 Protein and Its Implications in the Immunopathogenesis of Dengue Virus Infection.

Dengue virus (DV) infection is the most prevalent mosquito-borne viral disease and its manifestation has been shown to be contributed in part by the host immune responses. In this study, pathogen recognition receptors, Toll-like receptor (TLR) 2 and TLR6 were found to be up-regulated in DV-infected human PBMC using immunofluorescence staining, flow cytometry and Western blot analyses. Using ELISA, IL-6 and TNF-α, cytokines downstream of TLR2 and TLR6 signaling pathways were also found to be up-regulated in DV-infected PBMC. IL-6 and TNF-α production by PBMC were reduced when TLR2 and TLR6 were blocked using TLR2 and TLR6 neutralizing antibodies during DV infection. These results suggested that signaling pathways of TLR2 and TLR6 were activated during DV infection and its activation contributed to IL-6 and TNF-α production. DV NS1 protein was found to significantly increase the production of IL-6 and TNF-α when added to PBMC. The amount of IL-6 and TNF-α stimulated by DV NS1 protein was reduced when TLR2 and TLR6 were blocked, suggesting that DV NS1 protein is the viral protein responsible for the activation of TLR2 and TLR6 during DV infection. Secreted alkaline phosphatase (SEAP) reporter assay was used to further confirm activation of TLR2 and TLR6 by DV NS1 protein. In addition, DV-infected and DV NS1 protein-treated TLR6-/- mice have higher survivability compared to DV-infected and DV NS1 protein-treated wild-type mice. Hence, activation of TLR6 via DV NS1 protein could potentially play an important role in the immunopathogenesis of DV infection.

PISC-Net: A Comprehensive Neural Network Framework for Predicting Metasurface Infrared Emission Spectra.

Multifunctional metasurfaces have exhibited extensive potential in various fields, owing to their unparalleled capacity for controlling electromagnetic wave characteristics. The precise resolution is achieved through numerical simulation in conventional metasurface design methodologies. Nevertheless, the simulations using these approaches are inherently computationally costly. This paper proposes the Physical Insight Self-Correcting Convolutional Network (PISC-Net), which enables rapid prediction of infrared radiation spectra of metasurfaces with remarkable generalization capacity. In contrast to preceding prediction networks, we have enhanced the cognitive ability of the network to recognize physical mechanisms by designing parameter-communication modules and integrating a priori knowledge grounded in the parameter association mechanism. Additionally, we proposed an effective strategy for constructing data sets that facilitate precise tuning of absorption bands in the entire spectral range (3-14 µm) and serves to reduce the costs associated with data set development. Transfer learning is employed to obtain precise predictions for large-period metasurfaces from limited data sets. This approach demonstrates that a network trained exclusively on simulation data could predict experimental outcomes accurately, as proved by the comparative analysis between simulation, experimental testing, and prediction results. The average mean square error is less than 4%.

Daptomycin Inhibits Multiple Myeloma Progression through Downregulating the Expression of RPS19.

OBJECTIVES: This study aimed to explore new therapeutic drugs for multiple myeloma (MM). MM is a common plasma cell malignant proliferative disease, accounting for 15% of hematological malignancies. The role of daptomycin (DAP), a potential anti-tumor drug, remains unclear in MM. In the present research, we investigated the anticancer effect of DAP in MM cell line RPMI 8226. METHODS: RPMI 8226 cells were treated with DAP (20 µM, 40 µM, and 80 µM) with 20 nM bortezomib (BZ) as a positive control. Cell function was detected using CCK8, flow cytometry, and transwell assay. RESULTS: In MM cells, DAP inhibited proliferation and induced apoptosis. The cell cycle was arrested at the G1 phase after the treatment of DAP. The migration and invasion abilities were also inhibited by DAP treatment in RPMI 8226 cells. Importantly, the mRNA and protein levels of RPS19 were downregulated in DAP-treated RPMI 8226 cells. CONCLUSION: DAP inhibited the proliferation, migration, and invasion and promoted the apoptosis of MM cells. Mechanistically, the RPS19 expression was significantly decreased in DAPtreated cells. This research provides a potential therapeutic drug for MM therapy.

Integrating transcriptomic and proteomic data for a comprehensive molecular perspective on the association between sarcopenia and osteoporosis.

BACKGROUND: Osteoporosis and sarcopenia are common age-related conditions characterized by the progressive loss of bone density and muscle mass, respectively. Their co-occurrence, often referred to as osteosarcopenia, presents significant challenges in elderly care due to increased fragility and functional impairment. Existing studies have identified shared pathological mechanisms between these conditions, including inflammation, hormonal imbalances, and metabolic dysregulation, but a comprehensive understanding of their molecular interplay remains incomplete. OBJECTIVE: This study aims to deepen our understanding of the molecular interactions between sarcopenia and osteoporosis through an integrated omics approach, revealing potential therapeutic targets and biomarkers. METHODS: Employing a combination of proteomics and transcriptomics analyses, this study analyzed bone and muscle tissue samples from patients diagnosed with osteoporosis and osteosarcopenia. Techniques included high-throughput sequencing and label-free proteomics, supported by advanced bioinformatics tools for data analysis and functional annotation of genes and proteins. RESULTS: The study found marked differences in gene and protein expressions between osteoporosis and osteosarcopenia tissues. Specifically, genes like PDIA5, TUBB1, and CYFIP2 in bone, along with MYH7 and NCAM1 in muscle, exhibited differential expression at both mRNA and protein levels. Pathway analyses revealed the significance of oxidative-reduction balance, cellular metabolism, and immune response in the progression of these conditions. Importantly, the study pinpointed osteoclast differentiation and NF-kappa B signaling pathways as critical in the molecular dynamics of osteosarcopenia, suggesting potential targets for therapy. CONCLUSIONS: This study utilized transcriptomics and proteomics to identify key genes and proteins impacting sarcopenia and osteoporosis, employing advanced network tools to delineate interaction networks and crucial signaling pathways. It highlighted genes like PDIA5 and TUBB1, consistently expressed in both analyses, involved in pathways such as osteoclast differentiation and cytokine interactions. These insights enhance understanding of the molecular interplay in bone and muscle degeneration with aging, suggesting directions for future research into therapeutic interventions and prevention strategies for age-related degenerative diseases.

MAPK/ERK-PK(Ser11) pathway regulates divergent thermal metabolism of two congeneric oyster species.

Pyruvate kinase (PK), as a key rate-limiting enzyme in glycolysis, has been widely used to assess the stress tolerance and sensitivity of organisms. However, its phosphorylation regulatory mechanisms mainly focused on human cancer research, with no reports in marine organisms. In this study, we firstly reported a conserved PK Ser11 phosphorylation site in mollusks, which enhanced enzyme activity by promoting substrate binding, thereby regulating divergent thermal metabolism of two allopatric congeneric oyster species with differential habitat temperature. It was phosphorylated by ERK kinase, and regulated by the classical MAPK pathway. The MAPK/ERK-PK signaling cascade responded to increased environmental temperature and exhibited stronger activation pattern in the relatively thermotolerant species (Crassostrea angulata), indicating its involvement in shaping temperature adaptation. These findings highlight the presence of complex and unique phosphorylation-mediated signaling transduction mechanisms in marine organisms, and provide new insights into the evolution and function of the crosstalk between classical pathways.

Mechanism of action of Shaoyao-Gancao decoction in relieving chronic inflammatory pain via Sema3G protein regulation in the dorsal root ganglion.

Objective: The purpose of this study was to analyze the impact of Shaoyao-Gancao decoction (SGD) on proteins with significant changes in the dorsal root ganglion (DRG) in rats and to explore the role of the Semaphorin 3G (Sema3G) protein in the DRG and its downstream factors, interleukin-6 (IL-6) and CC-motif chemokine ligand 2(CCL2), in the treatment of chronic inflammatory pain (CIP). Methods: We created a CIP rat model using 100 µL of complete Freund's adjuvant (CFA) that was injected into the left posterior plantar of rats. Then, we administered SGD intragastrically. We tested the animals for behavioral changes and protein expression levels in DRG pre- and post-drug intervention. Results: Rats in the SGD group showed significantly increased paw withdrawal threshold (PWT), paw withdrawal latency (PWL), and relative expression levels of the Sema3G protein in the DRG (all P < 0.05), while the relative mRNA expression levels of IL-6 and CCL2 in the DRG of the rats were significantly decreased (P < 0.05) when compared with the model group. Conclusion: In this study, we found that Shaoyao-Gancao decoction was effective in improving the PWT and PWL of rats with CIP. It reduced CIP by upregulating the expression of Sema3G in the DRG and inhibiting the relative mRNA expression levels of IL-6 and CCL2.

Predictors of favorable functional outcomes for elderly patients undergoing endovascular thrombectomy for acute ischemic stroke.

PURPOSE: The aim of this study was to identify factors that predict favorable functional outcomes in elderly patients with large-vessel occlusion acute ischemic stroke (LVO-AIS) who underwent mechanical thrombectomy (MT). METHODS: We conducted a retrospective observational study using the prospectively maintained Bigdata Observatory for Stroke of China (BOSC) to identify eligible patients who underwent MT for LVO-AIS at four comprehensive stroke centers between August 2019 and February 2022. Inclusion criteria included patients aged 80 years or older with a baseline modified Rankin Scale (mRS) 0-2, baseline National Institutes of Health Stroke Scale (NIHSS) > 6, baseline Alberta Stroke Program Early CT Score (ASPECTS) > 6 who received treatment within 24 h from symptom onset. Pertinent demographic, clinical, and procedural variables were collected. Multivariable regression analyses were performed to identify predictors of favorable long-term functional outcomes, defined as mRS 0-2 at 90 days. RESULTS: A total of 63 patients were included in the study with a mean age of 83 years. Patients with previous diagnosis of atrial fibrillation were more likely to have a favorable functional outcome (OR 2.09, 95% CI 2.09-407.33, p = 0.012), while a higher baseline NIHSS was associated with a less favorable functional outcome (OR 0.64, 95% CI 0.46-0.89, p = 0.007). In addition, there was an observed trend suggesting an association between higher baseline ASPECTS and favorable functional outcomes. This association did not reach statistical significance (OR 2.49, 95% CI 0.94-6.54, p = 0.065). CONCLUSION: In this study, we identified factors that predicted a favorable functional outcome in elderly LVO-AIS patients undergoing MT. A higher baseline NIHSS decreased the odds of mRS 0-2 at 90 days, whereas a history of atrial fibrillation increased the odds of a favorable functional outcome. These results emphasize the complex relationship between clinical factors and functional recovery in this vulnerable population.

Could tumour volume and major and minor axis based on CTA statistical anatomy improve the pre-operative T-stage in oesophageal cancer?

OBJECTIVES: To statistically study the 3D shape of oesophageal cancer (EC) and its spatial relationships based on computed tomography angiography (CTA) 3D reconstruction, to determine its relationship with T-stages, and to create an optimal T-stage diagnosis protocol based on CTA calculation. METHODS: Pre-operative CTA images of 155 patients with EC were retrospectively collected and divided into four groups: T1-T4. We used Amira software to segment and 3D reconstruct the EC, oesophagus, aorta, pericardium and peripheral lymph nodes and measured their surface area, volume, major axis, minor axis, longitudinal length, roughness and relationship to the aorta of the EC. One-way ANOVA, independent sample t-test, ROC, etc., were performed and critical values between different T-stages were calculated. We also invited two radiologists to evaluate the measurements. RESULTS: There were no significant differences in EC longitudinal length, roughness score and relationship with the aorta between the different T-stages of EC. There were significant differences in EC surface area, EC volume and mean major and minor axis among the different T-stages. The volumes of the T1-T4 tumours were 12,934.36 ± 7739.25, 23,095.27 ± 14,975.67, 37,577.98 ± 36,085.64 and 58,579.25 ± 41,073.96 mm3 separately (p < 0.05), and the T1-T4 volume cut-off values were 11,712.00, 19,809.00 and 44,103.50 mm3 separately. For comparison with radiologists, the AUC value of our measurements was 0.704, which was higher than the radiologists of AUC = 0.630. CONCLUSIONS: EC volume, major and minor axis can be used as important factors for surgeons in the T-stage diagnosis of EC, which helps to improve prognosis and treatment decisions after CTA.

DNA-PAINT Imaging Accelerated by Machine Learning.

DNA point accumulation in nanoscale topography (DNA-PAINT) is an easy-to-implement approach for localization-based super-resolution imaging. Conventional DNA-PAINT imaging typically requires tens of thousands of frames of raw data to reconstruct one super-resolution image, which prevents its potential application for live imaging. Here, we introduce a new DNA-PAINT labeling method that allows for imaging of microtubules with both DNA-PAINT and widefield illumination. We develop a U-Net-based neural network, namely, U-PAINT to accelerate DNA-PAINT imaging from a widefield fluorescent image and a sparse single-molecule localization image. Compared with the conventional method, U-PAINT only requires one-tenth of the original raw data, which permits fast imaging and reconstruction of super-resolution microtubules and can be adopted to analyze other SMLM datasets. We anticipate that this machine learning method enables faster and even live-cell DNA-PAINT imaging in the future.