A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.

Current machine learning-based methods have achieved inspiring predictions in the scenarios of mono-type and multi-type drug-drug interactions (DDIs), but they all ignore enhancive and depressive pharmacological changes triggered by DDIs. In addition, these pharmacological changes are asymmetric since the roles of two drugs in an interaction are different. More importantly, these pharmacological changes imply significant topological patterns among DDIs. To address the above issues, we first leverage Balance theory and Status theory in social networks to reveal the topological patterns among directed pharmacological DDIs, which are modeled as a signed and directed network. Then, we design a novel graph representation learning model named SGRL-DDI (social theory-enhanced graph representation learning for DDI) to realize the multitask prediction of DDIs. SGRL-DDI model can capture the task-joint information by integrating relation graph convolutional networks with Balance and Status patterns. Moreover, we utilize task-specific deep neural networks to perform two tasks, including the prediction of enhancive/depressive DDIs and the prediction of directed DDIs. Based on DDI entries collected from DrugBank, the superiority of our model is demonstrated by the comparison with other state-of-the-art methods. Furthermore, the ablation study verifies that Balance and Status patterns help characterize directed pharmacological DDIs, and that the joint of two tasks provides better DDI representations than individual tasks. Last, we demonstrate the practical effectiveness of our model by a version-dependent test, where 88.47 and 81.38% DDI out of newly added entries provided by the latest release of DrugBank are validated in two predicting tasks respectively.

Direct trifluoromethylselenolations of electron-rich (hetero)aromatic rings with N-trifluoromethylselenolating saccharin.

A novel, easily synthesizable, shelf-stable electrophilic trifluoromethylselenolating reagent, N-trifluoromethylselenosaccharin, has been developed. This reagent can be synthesized in good yield by a two-step one-pot reaction from BnSeCF3, SO2Cl2, and silver saccharin. N-Trifluoromethylselenosaccharin proves to be an efficient trifluoromethylselenolating reagent, enabling the direct trifluoromethylselenolation of various electron-rich aromatic and heteroaromatic rings under mild reaction conditions. It exhibits excellent chemoselectivity and excellent compatibility with various functional groups, making it suitable for late-stage trifluoromethylselenolation applications in complex natural product and drug synthesis.

Pegylated-interferon alpha (PEG-IFNα)-induced interstitial lung disease in a patient with chronic hepatitis B: A case report and literature review.

OBJECTIVES: Interferon (IFN)-induced lung injury is a rare but severe complication. Studies are needed to elucidate the demographic characteristics, clinical manifestations, and prognostic features of IFN-induced interstitial lung disease (ILD). CASE REPORT: We report a patient with chronic hepatitis who developed ILD after interferon monotherapy. To further clarify the clinical characteristics of such patients, we searched for cases in which lung injury was documented as a side effect of hepatitis treatment and systematically analyzed all case reports for clinical manifestations, type of treatment, and outcomes. RESULTS: This is a 61-year-old male with a previous medical history of chronic hepatitis B. After 2 months of pegylated-interferon alpha (PEG-IFNα) application, he gradually developed cough and exertional dyspnea. Repeated chest images suggested progressive ILD, and lung biopsy revealed subacute lung injury. The diagnosis of PEG-IFNα-induced ILD was made. Including our case, 35 articles containing 45 patients were involved in our review. IFN-induced ILDs, often with a subacute onset, are characterized by nonproductive cough, dyspnea, and pulmonary infiltrates on chest radiograph. Most patients(62%, 28/45) required additional systemic steroid, and 5 (11%) patients who were co-administered ribavirin died of ILD progression despite steroid treatment. CONCLUSION: Although rare, IFN-induced ILD can lead to decreased lung function, and sometimes become fatal despite intensive treatment. Most previously reported cases were with chronic hepatitis C, and most of the medication was in combination with ribavirin. IFN-induced ILD should be monitored during IFN therapy, and appropriate steroid is recommended in patients with progressive manifestations.

Abnormal heart rate responses to exercise in non-severe COPD: relationship with pulmonary vascular volume and ventilatory efficiency.

BACKGROUND: Despite being a prognostic predictor, cardiac autonomic dysfunction (AD) has not been well investigated in chronic obstructive pulmonary disease (COPD). We aimed to characterise computed tomography (CT), spirometry, and cardiopulmonary exercise test (CPET) features of COPD patients with cardiac AD and the association of AD with CT-derived vascular and CPET-derived ventilatory efficiency metrics. METHODS: This observational cohort study included stable, non-severe COPD patients. They underwent clinical evaluation, spirometry, CPET, and CT. Cardiac AD was determined based on abnormal heart rate responses to exercise, including chronotropic incompetence (CI) or delayed heart rate recovery (HRR) during CPET. RESULTS: We included 49 patients with FEV1 of 1.2-5.0 L (51.1-129.7%), 24 (49%) had CI, and 15 (31%) had delayed HRR. According to multivariate analyses, CI was independently related to reduced vascular volume (VV; VV ≤ median; OR [95% CI], 7.26 [1.56-33.91]) and low ventilatory efficiency (nadir VE/VCO2 ≥ median; OR [95% CI], 10.67 [2.23-51.05]). Similar results were observed for delayed HRR (VV ≤ median; OR [95% CI], 11.46 [2.03-64.89], nadir VE/VCO2 ≥ median; OR [95% CI], 6.36 [1.18-34.42]). CONCLUSIONS: Cardiac AD is associated with impaired pulmonary vascular volume and ventilatory efficiency. This suggests that lung blood perfusion abnormalities may occur in these patients. Further confirmation is required in a large population-based cohort.

GPR39-mediated ERK1/2 signaling reduces permethrin-induced proliferation of estrogen receptor α-negative cells.

Certain insecticides are known to have estrogenic effects by activating estrogen receptors through genomic transcription. This has led researchers to associate specific insecticide use with an increased breast cancer risk. However, it is unclear if estrogen receptor-dependent pathways are the only way in which these compounds induce carcinogenic effects. The objective of this study was to determine the impact of the pyrethroid insecticide permethrin on the growth of estrogen receptor negative breast cancer cells MDA-MB-231. Using tandem mass spectrometric techniques, the effect of permethrin on cellular protein expression was investigated, and gene ontology and pathway function enrichment analyses were performed on the deregulated proteins. Finally, molecular docking simulations of permethrin with the candidate target protein was performed and the functionality of the protein was confirmed through gene knockdown experiments. Our findings demonstrate that exposure to 10-40 µM permethrin for 48 h enhanced cell proliferation and cell cycle progression in MDA-MB-231. We observed deregulated expression in 83 upregulated proteins and 34 downregulated proteins due to permethrin exposure. These deregulated proteins are primarily linked to transmembrane signaling and chemical carcinogenesis. Molecular docking simulations revealed that the overexpressed transmembrane signaling protein, G protein-coupled receptor 39 (GPR39), has the potential to bind to permethrin. Knockdown of GPR39 partially impeded permethrin-induced cellular proliferation and altered the expression of proliferation marker protein PCNA and cell cycle-associated protein cyclin D1 via the ERK1/2 signaling pathway. These findings offer novel evidence for permethrin as an environmental breast cancer risk factor, displaying its potential to impact breast cancer cell proliferation via an estrogen receptor-independent pathway.

Prediction of exercise-induced desaturation in COPD patients without resting hypoxemia: a retrospective study.

BACKGROUND: There is no universally accepted criterion for assessing exercise-induced desaturation (EID). The purpose of this study is to compare the two methods regularly used for determining EID in COPD patients, as well as to explore the risk factors and predictors related to EID. METHODS: The 6MWT was performed with continuous SpO2 monitoring on patients with stable COPD. Using two methods (method A: "SpO2rest-SpO2min ≥ 4% and/or SpO2min < 90%", method B: "SpO2rest-SpO2end ≥ 4% and/or SpO2end < 90%") as EID determination criteria to assess the incidence of EID. The differences and consistency of the two methods are compared. Moreover, we collected data through the pulmonary function test, mMRC dyspnea score, COPD assessment test, BODE index and CT-defined emphysema. Univariate and multivariate logistic regression analyses were used to identify factors affecting the EID. For the parameters that predict EID in 6MWT, a receiver operating characteristic (ROC) curve analysis was employed. RESULTS: The analysis included 124 patients. The overall incidence of EID was 62.1% by using method A as the criterion and 51.6% by method B. All of the EID patients found by method B were included in the EID patients identified by method A, as well as 13 new-EID patients. The difference in diagnostic outcomes between the two approaches was not statistically significant (P > 0.05), but they were in excellent agreement (Kappa = 0.807, P = 0.001). Logistic regression analyses found that DLCO SB% pred, DLCO/VA% pred, CAT score, mean density, PD15, emphysema volume and %LAA were significant determinants of the EID. For predicting EID, the ROC analysis produced AUC and cutoffs of 0.689 and 50.45% (DLCO SB% pred), 0.707 and 75.0% (DLCO/VA% pred), 0.727 and 15 points (CAT score), 0.691 and - 955.00HU (PD15), 0.671 and - 856.46HU (mean density), 0.668 and 338.14 ml (emphysema volume) and 0.656 and 7.63% (%LAA), respectively. CONCLUSIONS: Two methods evaluating EID in this research are in a good agreement, method A can find more EID patients by focusing on SpO2min. When conditions are constrained, it is also sufficient to assess EID in COPD patients by method B. In terms of the predictors of EID, DLCO SB% pred, DLCO/VA% pred, CAT score and CT-defined emphysema are all statistically significant test variables to determine EID.

Stabilizing near-field acoustic levitation: Investigation of non-linear restoring force generated by asymmetric gas squeeze film.

The instability of a floating object is the main factor preventing near-field acoustic levitation (NAFL) from being widely used in the manufacture of micro-electro-mechanical systems. Therefore, investigating the restoring force due to the generation mechanisms of NAFL is necessary to ensure the stable levitation of the floating object. This study presents a theoretical analysis to evaluate the restoring force based on the gas-film-lubrication theory. The gas-film pressure between the reflector and the radiator is expressed in the form of the dimensionless Reynolds equation in a cylindrical coordinate system, which is solved by an eight-point discrete grid method due to the discontinuous gas-film distribution. An experimental rig is constructed to measure the restoring force at various eccentricities, which can be used to support the developed numerical model. The theoretical results show that the restoring force increases with an increment in eccentricity, which agrees with experimental results. Furthermore, theoretical prediction results indicate that the restoring force increases when the amplitude of the radiator and weight of the levitator increases, which indicates higher system stability. The results of the radiator vibration mode on the restoring force show that the restoring force is the largest in the first-order mode.

Regulatory Roles of Peroxisomal Metabolic Pathways Involved in Musk Secretion in Muskrats.

In this study, we analyzed the main components of muskrat musk by gas chromatography-mass spectrometry, the results showed that muskrat musk contained fatty acids (29.32%), esters (31.89%), cholesterol (4.38%), cyclic ketones (16.31%), alcohols (6.42%) and other compounds, among which 9-octadecenoic acid accounted for 4.89%. We also analyzed the genes of the metabolic pathway in the scent gland at the transcriptomic level during musk-secreting and non-secreting seasons by RNA-seq (RNA sequencing). We detected 21 genes in the peroxisomal metabolic pathways, including PEX14(peroxin-14) and ACOX3(acyl-CoA oxidase), which exhibited significant differential expression between the musk-secreting season and the non-secreting season (p < 0.05). The RNA-seq results for these genes were validated by reverse transcription PCR(RT-PCR) for both seasons. In addition, we examined changes in the composition of muskrat musk from the glandular cells of scent glands cultured in vitro after RNA interference-mediated silencing of 2 differentially expressed genes, ACOX3 and HSD17B4(D-bifunctional protein, DBP). The 9-Octadecenoic acid content in muskrat musk decreased significantly following the silencing of ACOX3 and HSD17B4(D-bifunctional protein, DBP). These results suggest that peroxisomal metabolic pathways play important roles in the regulation of musk secretion in scent glands in the muskrat.

[Determination of common dyes in dyed safflower by near infrared spectroscopy].

Because the red and bright color of corolla is the main indicator for the quality assessment of good safflower,the dyed safflower is sometimes found at the herbal market,what is influence on this herb quality and efficacy. A total of 127 safflower samples was therefore collected from different cultivating areas and herbal markets in China to develop a rapid method to identify the dyed safflower. Near-infrared spectroscopy(NIRS) combined with characteristic identification,high performance liquid chromatography(HPLC),principal component analysis(PCA) and partial least squares regression analysis(PLS) were employed to differentiate safflower from dyed safflower samples,and further quantify the levels of the 6 dyes,i.e. tartrazine,carmine,sunset yellow,azorubine,acid red 73 and orange Ⅱ in the dyed safflower. The results indicated that the 50 safflower samples and 77 dyed safflower samples were located at different regions in PCA cluster diagram by NIR spectra. Tartrazine,carmineand and sunset yellow were found in the 77 dyed safflower samples with the amounts of 0. 60-3. 66,0. 11-1. 37,0. 10-0. 71 mg·g-1,respectively. It indicated that the three dyes were the common and main dyes in the dyed safflower. However,azorubine,acid red 73 and orange Ⅱ were not detected in all herb samples. A total of 62 dyed safflower samples were chosen as calibration samples to develop the model for estimating the amount of dyes in dyed safflower. The estimating accuracy was verified by another 15 dyed safflower samples. The values of tartrazine,carmine and sunset yellow in dyed safflower samples were compared between the NIRS and HPLC methods. Each value of mean absolute difference(MAD) was less than 5%. The correlation coefficients of tartrazine,carmineand and sunset yellow were 0. 970,0. 975,0. 971,respectively. It indicated the data quantified by NIRS and HPLC were consistence. It is concluded that NIRS can not only differentiate safflower from dyed safflower,but also quantify the amount of the dyes. NIRS is suitable for rapidly identify the quality of safflower.

A widely compatible expression system for the production of highly O-GlcNAcylated recombinant protein in Escherichia coli.

O-GlcNAcylation is a ubiquitous and dynamic post-translational modification on serine/threonine residues of nucleocytoplasmic proteins in metazoa, which plays a critical role in numerous physiological and pathological processes. But the O-GlcNAcylation on most proteins is often substoichiometric, which hinders the functional study of the O-GlcNAcylation. This study aimed to improve the production of highly O-GlcNAcylated recombinant proteins in Escherichia coli (E. coli). To achieve this goal, we constructed a bacterial artificial chromosome-based chloramphenicol-resistant expression vector co-expressing O-GlcNAc transferase (OGT) and key enzymes (phosphoglucose mutase, GlmM and N-acetylglucosamine-1-phosphate uridyltransferase, GlmU) of the uridine diphosphate N-acetylglucosamine (UDP-GlcNAc) synthesis pathway in E. coli, which can effectively increase the O-GlcNAcylation of the OGT target protein expressed by another vector. The results revealed that the expression of GlmM and GlmU increases the cellular concentration of UDP-GlcNAc in E. coli, which markedly enhanced the activity of the co-expressed OGT to its target proteins, such as H2B, p53 and TAB1. Altogether, we established a widely compatible E. coli expression system for producing highly O-GlcNAcylated protein, which could be used for modifying OGT target proteins expressed by almost any commercial expression vectors in E. coli. This new expression system provides possibility for investigating the roles of O-GlcNAcylation in the enzymatic activity, protein-protein interaction and structure of OGT target proteins.

Generation and characterization of a site-specific antibody for SIRT1 O-GlcNAcylated at serine 549.

O-linked N-acetyl-ß-d-glucosamine (O-GlcNAc) is a dynamic post-translational modification that modifies thousands of proteins. However, the roles and mechanisms of O-GlcNAcylation have been clarified in only a few proteins, and one of the main reasons for this is the lack of site-specific anti-O-GlcNAc antibodies. Recently, we found that SIRT1, which is an NAD+-dependent deacetylase, is O-GlcNAcylated at the serine 549 site (S549) and plays a cytoprotective role under stress. However, the mechanism underlying the roles of SIRT1 O-GlcNAcylation remains unclear. Here, we describe a site-specific antibody for SIRT1 O-GlcNAcylated at S549, named SIRT1-549-O. This antibody can be used for immunoprecipitation and western blotting assays, and it can be used to recognize the endogenous levels of both human and mouse SIRT1 O-GlcNAcylation. Therefore, this antibody not only provides an effective method to further understand the roles of SIRT1 O-GlcNAcylation but also makes it possible to discover the genetic and pharmacological factors that could regulate SIRT1 activity by modulating its O-GlcNAcylation.

The fractional synthesis rates of plasma proteins as determined using deuterated water are sensitive to dietary intake of lysine in rats.

Traditionally, the effect of dietary lysine upon health is determined through the concentrations of plasma proteins, but sometimes they are not responsive to lysine intake. We hypothesized that the fractional synthesis rates (FSRs) of plasma proteins may be more sensitive to dietary intake of lysine than protein concentrations in plasma. Seventy-two male Sprague-Dawley rats were divided randomly into three groups based on their diets provided for 18 weeks: low lysine (LG), normal lysine (NG) and high lysine (HG). Rats underwent labeling with deuterated water, a more reliable tracer than amino-acid tracers. The FSRs of albumin and immunoglobulin (Ig) G in plasma increased with increasing dietary intake of lysine. However, the albumin concentration in plasma in rats in the LG did not decrease significantly compared with that in the NG, and a similar result was shown for the IgG concentration between the NG and HG. These results suggested that the FSRs of albumin and IgG in plasma were more sensitive to dietary intake of lysine than their concentrations, and could be useful as sensitive indicators of the effect of dietary lysine upon health.

TGF-ß (Transforming Growth Factor-ß) Signaling Protects the Thoracic and Abdominal Aorta From Angiotensin II-Induced Pathology by Distinct Mechanisms.

OBJECTIVE: The role of TGF-ß (transforming growth factor-ß) signaling in abdominal aortic aneurysm (AAA) formation is controversial. Others reported that systemic blockade of TGF-ß by neutralizing antibodies accelerated AAA development in angiotensin II-infused mice. This result is consistent with other studies suggesting that TGF-ß signaling prevents AAA. Development of a therapy for AAA that exploits the protective actions of TGF-ß would be facilitated by identification of the mechanisms through which TGF-ß prevents AAA. We hypothesized that TGF-ß signaling prevents AAA by its actions on aortic medial smooth muscle cells. APPROACH AND RESULTS: We compared the prevalence, severity, and histopathology of angiotensin II-induced AAA among control mice (no TGF-ß blockade), mice with antibody-mediated systemic neutralization of TGF-ß, and mice with genetically based smooth muscle-specific loss of TGF-ß signaling. Surprisingly, we found that systemic-but not smooth muscle-specific-TGF-ß blockade significantly increased the prevalence of AAA and tended to increase AAA severity, adventitial thickening, and aortic wall macrophage accumulation. In contrast, abdominal aortas of mice with smooth muscle-specific loss of TGF-ß signaling differed from controls only in having a thinner media. We examined thoracic aortas of the same mice. Here we found that smooth muscle-specific loss of Tgfbr2-but not systemic TGF-ß neutralization-significantly accelerated development of aortic pathology, including increased prevalence of intramural hematomas, medial thinning, and adventitial thickening. CONCLUSION: Our results suggest that TGF-ß signaling prevents both abdominal and thoracic aneurysmal disease but does so by distinct mechanisms. Smooth muscle extrinsic signaling protects the abdominal aorta and smooth muscle intrinsic signaling protects the thoracic aorta.

Sex hormones play roles in determining musk composition during the early stages of musk secretion by musk deer (Moschus berezovskii).

Musk is a secreted external hormone or information compound that is stored in musk scent glands of the males of species within the family Moschidae, such as Moschus berezovskii. The secretion of musk changes periodically during the courtship and reproduction periods, with the early stage of secretion occurring from May to July, and the maturation stage occurring from August to April of the following year. In this study, we analyzed the dynamic changes in musk components from June to April of the following year. The result showed that musk morphological character, water content, total ion chromatographic pattern, and composition undergo seasonal change. Luminescence immunoassay and radioimmunoassay analyses were performed to determine corresponding fecal hormone levels. The results showed that testosterone, estrogen, and cortisol levels in feces change on a seasonal basis, and are significantly higher in June than in other months (p < 0.01). Correlation analysis showed that the contents of four examined musk components (muscone, cyclopentadecanone, cholesterol, and cholestenol) from June to August were significantly highly negatively correlated with fecal testosterone and estradiol levels (p < 0.01). In contrast, the correlation coefficients were low or not significant from August to April of the following year. These results indicate that testosterone and estradiol may play a major role in determining musk composition during the early stage of musk secretion but not during the course of musk maturation, which suggests that musk secretion may be promoted by increases in sex hormones in June.

Natural neuro-inflammatory inhibitors from Caragana turfanensis.

Because of the critical role of over-activated microglia in the progress of neurodegenerative diseases, it has been selected as a potential therapeutic target for drug discovery. In order to find natural neuroinflammatory inhibitors, we carried out a bioactivity-oriented phytochemical research of Caragana turfanensis Kom. (Krassn.), which is a folk medicine widely distributed in Xinjiang. As a result, a new coumarin lactone caraganolide A (1) and 35 known components were characterized from the effective extract of C. turfanensis. Furthermore, their anti-neuroinflammatory effects were evaluated in LPS-induced BV2 microglial cells using Griess assay to determine the release of nitric oxide (NO). Compounds 1, 2, 4-6, 9, 13-15, 20, 29 and 30 exhibited significant inhibitory activities and no obvious cytotoxicities were observed at their effective concentrations. It is noteworthy, the new compound caraganolide A (1) (IC50 1.01±1.57µM) and 3',7,8-trihydroxy-4'-methoxyisoflavone (5) (IC506.87±2.23µM) exhibited more excellent action than that of positive control minocycline (IC50 9.07±0.86µM).

[Research on spectral reflectance characteristics for Glycyrrhizae Radix].

In order to study the spectral reflectance differences of Glycyrrhizae Radix under different growth conditions and lay the foundation for quantitative monitoring of Glycyrrhizae Radix remote sensing images, spectra of Glycyrrhiza species under different growth period and different varieties and different regions were measured by a portable spectrometer. The results showed that the reflectivity of annual G. uralensis was obviously higher than that of the two years plant in the visible light band own to the contents of crown layer chlorophyll. The reflectivity of two years G. pallidiflora was higher than that of G. uralensis in the near infrared band own to the leaf area index and the content of leaf water. The red edge spectrum of annual plant fluctuated largely than that of two years plant due to vegetation coverage and leaf area index. G. pallidiflora grew well than G. uralensis. Under different regions of the Glycyrrhiza species, spectral data analysis showed that within a certain range, the average annual precipitation and average annual evaporation were the major factors to affect the differences of Glycyrrhiza species spectral data under different regions owe to the leaf water content, the higher leaf water content, the lower spectral reflectance. The principal component analysis and continuum-removed method of the spectral data under different regions found that, within a certain range, the average annual precipitation and average annual evaporation were the major factors caused by the differences of Glycyrrhiza species spectral data under the different regions, Glycyrrhiza species spectral similarity related to the spatial distance.

Learnable digital signal processing: a new benchmark of linearity compensation for optical fiber communications.

The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing (DSP) schemes that are highly cost-effective with both high performance and low complexity. As benchmarks for nonlinear compensation methods, however, traditional DSP designed with block-by-block modules for linear compensations, could exhibit residual linear effects after compensation, limiting the nonlinear compensation performance. Here we propose a high-efficient design thought for DSP based on the learnable perspectivity, called learnable DSP (LDSP). LDSP reuses the traditional DSP modules, regarding the whole DSP as a deep learning framework and optimizing the DSP parameters adaptively based on backpropagation algorithm from a global scale. This method not only establishes new standards in linear DSP performance but also serves as a critical benchmark for nonlinear DSP designs. In comparison to traditional DSP with hyperparameter optimization, a notable enhancement of approximately 1.21 dB in the Q factor for 400 Gb/s signal after 1600 km fiber transmission is experimentally demonstrated by combining LDSP and perturbation-based nonlinear compensation algorithm. Benefiting from the learnable model, LDSP can learn the best configuration adaptively with low complexity, reducing dependence on initial parameters. The proposed approach implements a symbol-rate DSP with a small bit error rate (BER) cost in exchange for a 48% complexity reduction compared to the conventional 2 samples/symbol processing. We believe that LDSP represents a new and highly efficient paradigm for DSP design, which is poised to attract considerable attention across various domains of optical communications.

Exercise-Induced Oxygen Desaturation Increases Arterial Stiffness in Patients with COPD During the 6WMT.

Objective: Given the established impact of exercise in reducing arterial stiffness and the potential for intermittent hypoxia to induce its elevation, this study aims to understand how oxygen desaturation during exercise affects arterial stiffness in individuals with COPD. Methods: We enrolled patients with stable COPD from China-Japan Friendship Hospital from November 2022 to June 2023. The 6-minute walk test (6-MWT) was performed with continuous blood oxygen saturation (SpO2) monitoring in these patients. The patients were classified into three groups: non-exercise induced desaturation (EID), mild-EID and severe-EID, according to the changes in SpO2 during the 6-MWT. The Cardio-Ankle Vascular Index (CAVI) and the change in CAVI (ΔCAVI, calculated as CAVI before 6MWT minus CAVI after the 6MWT) were measured before and immediately after the 6MWT to assess the acute effects of exercise on arterial stiffness. GOLD Stage, pulmonary function, and other functional outcomes were also measured in this study. Results: A total of 37 patients with stable COPD underwent evaluation for changes in CAVI (ΔCAVI) before and after the 6-MWT. Stratification based on revealed three subgroups: non-EID (n=12), mild-EID (n=15), and severe-EID (n=10). The ΔCAVI values was -0.53 (-0.95 to -0.31) in non-EID group, -0.20 (-1.45 to 0.50) in mild-EID group, 0.6 (0.08 to 0.73) in severe-EID group. Parametric tests indicated significant differences in ΔCAVI among EID groups (p = 0.005). Pairwise comparisons demonstrated significant distinctions between mild-EID and severe-EID groups, as well as between non-EID and severe-EID groups (p = 0.048 and p = 0.003, respectively). Multivariable analysis, adjusting for age, sex, GOLD stage, diffusion capacity, and blood pressure, identified severe-EID as an independent factor associated with ΔCAVI (B = 1.118, p = 0.038). Conclusion: Patients with COPD and severe-EID may experience worsening arterial stiffness even during short periods of exercise.

Elaeagnus angustifolia L. fruit alleviates diarrhea via regulating intestinal microbiota and short chain fatty acids.

Fruits of Elaeagnus angustifolia L. have been used as Uyghur medicine due to the properties of treating spleen and stomach weakness, indigestion, enteritis, diarrhea, lung heat, and cough. However, the anti-diarrhea mechanism was still not clear. This study explored the mechanism of E. angustifolia fruit alleviated diarrhea from the perspective of gut microbiota. Diarrhea model was established with Folium sennae in mice. Then, the levels of diarrhea rate and diarrhea index of mice were evaluated. Hematoxylin eosin (HE) staining was employed to detect pathological sections of colon tissue. 16S rRNA sequencing analysis was researched to confirm the gut microbiota in mice. Diversity and differential analysis were adopted to analyze the intestinal microflora. Furthermore, Gas chromatography-quadrupole time-of-flight tandem mass spectrometry (GC-Q-TOF-MS) was used to detect the concentrations of short chain fatty acids (SCFAs) in intestine. The high-dose group (3.2 g/kg) of E. angustifolia fruit could significantly reduce the diarrhea rate and diarrhea index of mice caused by Folium sennae (p < 0.01). We also found that E. angustifolia fruit enhanced the diversity of gut microbiota while ameliorating diarrhea. Alpha diversity revealed that the microbial composition of E. angustifolia fruit group tended to be more similar to that of the CON group (no significant difference at p < 0.05). E. angustifolia fruit also induced structural changes of gut microbiota in mice. In addition, the concentrations of SCFAs increased after administration of E. angustifolia fruit. This study demonstrated that E. angustifolia fruit could ameliorate diarrhea by regulating the composition and abundance of intestinal microbiota, together with the levels of SCFAs.

Long-term intravital subcellular imaging with confocal scanning light-field microscopy.

Long-term observation of subcellular dynamics in living organisms is limited by background fluorescence originating from tissue scattering or dense labeling. Existing confocal approaches face an inevitable tradeoff among parallelization, resolution and phototoxicity. Here we present confocal scanning light-field microscopy (csLFM), which integrates axially elongated line-confocal illumination with the rolling shutter in scanning light-field microscopy (sLFM). csLFM enables high-fidelity, high-speed, three-dimensional (3D) imaging at near-diffraction-limit resolution with both optical sectioning and low phototoxicity. By simultaneous 3D excitation and detection, the excitation intensity can be reduced below 1 mW mm-2, with 15-fold higher signal-to-background ratio over sLFM. We imaged subcellular dynamics over 25,000 timeframes in optically challenging environments in different species, such as migrasome delivery in mouse spleen, retractosome generation in mouse liver and 3D voltage imaging in Drosophila. Moreover, csLFM facilitates high-fidelity, large-scale neural recording with reduced crosstalk, leading to high orientation selectivity to visual stimuli, similar to two-photon microscopy, which aids understanding of neural coding mechanisms.