Lactoferrin alleviates chronic low­grade inflammation response in obese mice by regulating intestinal flora.

Chronic low­grade inflammation defines obesity as a metabolic disorder. Alterations in the structure of gut flora are strongly associated with obesity. Lactoferrin (LF) has a biological function in regulating intestinal flora. The present study aimed to investigate the therapeutic and anti­-inflammatory effects of LF in obese mice based on intestinal flora. A total of 30 C57BL/6 mice were divided into three groups consisting of 10 mice each. Subsequently, one group was fed a normal diet (Group K), another group was fed a high­fat diet (Group M) and the remaining group switched from regular drinking to drinking 2% LF water (Group Z2) after 2 weeks of high­fat diet; all mice were fed for 12 weeks. After the experiment, the mouse blood lipid and lipopolysaccharide levels, levels of inflammatory factors and intestinal tight junction proteins were assessed. Mouse stool samples were analyzed using 16S ribosomal RNA sequencing. The results showed that LF reduced serum total cholesterol, triglycerides and low­density lipoprotein levels, elevated high­density lipoprotein levels, suppressed metabolic endotoxemia and attenuated chronic low­grade inflammatory responses in obese mice. In addition, LF upregulated zonula occludens­1 and occludin protein expression levels in the intestine, thereby improving intestinal barrier integrity. LF altered the intestinal microbial structure of obese mice, reduced the ratio of Firmicutes and an elevated ratio of Bacteroidota, modifying the bacterial population to the increased relative abundance of Alistipes, Acidobacteriota, Psychrobacter and Bryobacter.

UPLC-QTOF-MS based metabolomics unravels the modulatory effect of ginseng water extracts on rats with Qi-deficiency.

Ginseng is commonly used as a nutritional supplement and daily wellness product due to its ability to invigorate qi. As a result, individuals with Qi-deficiency often use ginseng as a health supplement. Ginsenosides and polysaccharides are the primary components of ginseng. However, the therapeutic effects and mechanisms of action of these components in Qi-deficiency remain unclear. This study aimed to determine the modulatory effects and mechanisms of ginseng water extract, ginsenosides, and ginseng polysaccharides in a rat model of Qi-deficiency using metabolomics and network analysis. The rat model of Qi-deficiency was established via swimming fatigue and a restricted diet. Oral administration of different ginseng water extracts for 30 days primarily alleviated oxidative stress and disrupted energy metabolism and immune response dysfunction caused by Qi-deficiency in rats. Ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used for untargeted serum metabolomic analysis. Based on the analysis results, the active constituents of ginseng significantly reversed the changes in serum biomarkers related to Qi-deficiency in rats, particularly energy, amino acid, and unsaturated fatty acid metabolism. Furthermore, analysis of the metabolite-gene network suggested that the anti-Qi-deficiency effects of the ginseng components were mainly associated with toll-like receptor (TLR) signaling and inflammatory response. Additional verification revealed that treatment with the ginseng components effectively reduced the inflammatory response and activation of the myocardial TLR4/NF-κB pathway induced by Qi-deficiency, especially the ginseng water extracts. Therefore, ginseng could be an effective preventive measure against the progression of Qi-deficiency by regulating metabolic and inflammatory responses.

Co-inoculation of Soybean Seedling with Trichoderma asperellum and Irpex laceratus Promotes the Absorption of Nitrogen and Phosphorus.

Soybean are one of the main oil crops in the world. The study demonstrated that co-inoculation with Trichoderma asperellum (Sordariomycetes, Hypocreomycetidae) and Irpex laceratus (Basidiomycota, Polyporales) isolated from Kosteletzkya virginica can promote the growth of soybean seedlings. The two fungi were found to produce various enzymes, including cellulase, amylase, laccase, protease, and urease. Upon inoculation, T. asperellum mainly colonized within the phloem of the roots in soybean seedlings, while I. laceratus mainly in the xylem and phloem of the roots. Physiological parameters, such as plant height, root length, and fresh weight, were significantly increased in soybean seedlings co-inoculated with T. asperellum and I. laceratus. Moreover, the expression of key genes related to N and P absorption and metabolism was also increased, leading to improved N and P utilization efficiency in soybean seedlings. These results indicate that the two fungi may have complementary roles in promoting plant growth, co-inoculation with T. asperellum and I. laceratus can enhance the growth and nutrient uptake of soybean. These findings suggest that T. asperellum and I. laceratus have the potential to be used as bio-fertilizers to improve soybean growth and yield.

The association of CSF biomarkers and cognitive decline with choroid plexus volume in early Parkinson's disease.

OBJECTIVE: This study aims to determine the link between choroid plexus (CP) volume and cognitive decline in patients with early-stage Parkinson's disease (PD) and to test whether pathological proteins in the cerebrospinal fluid (CSF) are involved in the modulation of any detrimental effects from CP volume. METHODS: Data on 95 early-stage PD patients with 5 years of follow-up were collected from the Parkinson's Progression Marker Initiative cohort. The patients were separated into three groups based on tertiles of baseline CP volume. We then used a linear mixed model for longitudinal analysis and conducted path analysis to investigate mediating effects. RESULTS: At baseline, the patients in both the upper and middle tertile group were older and had lower concentrations of CSF Aß1-42 than those in the lowest tertile group. Longitudinal analysis showed that the upper tertile group suffered from a more rapid cognitive decline in the Symbol Digit Modalities test, Hopkins Verbal Learning Test (HVLT)-retention, and HVLT delayed recalled score. Furthermore, path analysis showed that the pathological effects of CP volume on the 5-year decline in memory might be partly mediated by the CSF Aß1-42/αsyn ratio. CONCLUSION: CP enlargement could be an independent risk factor for decreased cognition in patients with early-stage PD, and this risk may be mediated by CSF pathological proteins.

The Clinical Value of Comprehensive Nursing Intervention in Preventing Severe Lymphopenia and Improving the Survival Rate Among Patients with Sepsis.

Background: Intensive care unit (ICU) patients with sepsis who experience severe lymphopenia are at a higher risk of mortality, and they serve as a more accurate indicator of bacteremia compared to traditional infection markers. Aim: Our study aimed to examine the influence of severe lymphopenia on ICU mortality and outcomes in sepsis patients, while also evaluating the clinical significance of comprehensive nursing intervention in preventing severe lymphopenia. Methods: Patients with sepsis in the ICU at our hospital between January 2015 and January 2021 were split into a control group and a test group.The control group received regular nursing care, while the test group was provided with comprehensive nursing care in addition to the control group. The results encompassed mortality rates of 28 days, mortality rates of 1 year, and lengths of stay in the ICU. Results: Our attention was directed towards day 4 absolute lymphocyte counts, taking into account the receiver operating characteristic (ROC) outcome. Patients with severe lymphopenia were older, more patients with 2 above comorbidities, higher co-infection rates and SOFA score. In addition, patients with severe lymphopenia required longer days stay in ICU (P<0.001), and presented with higher 28-day mortality (P=0.038) and 1-year mortality (P=0.004). Patients in control group have a higher incidence of severe lymphopenia (P=0.006), 28-day mortality (P=0.015) and 1-year mortality (P=0.019) compared with the test group. Conclusion: Comprehensive nursing intervention can prevent the occurrence of severe lymphopenia, improve patients satisfaction and reduce mortality.

Immunological characterization and diagnostic models of RNA N6-methyladenosine regulators in Alzheimer's disease.

Alzheimer's disease (AD) is the most prevalent form of dementia, and it displays both clinical and molecular variability. RNA N6-methyladenosine (m6A) regulators are involved in a wide range of essential cellular processes. In this study, we aimed to identify molecular signatures associated with m6A in Alzheimer's disease and use those signatures to develop a predictive model. We examined the expression patterns of m6A regulators and immune features in Alzheimer's disease using the GSE33000 dataset. We examined the immune cell infiltration and molecular groups based on m6A-related genes in 310 Alzheimer's disease samples. The WGCNA algorithm was utilized to determine differently expressed genes within each cluster. After evaluating the strengths and weaknesses of the random forest model, the support vector machine model, the generalized linear model, and eXtreme Gradient Boosting, the best machine model was selected. Methods such as nomograms, calibration curves, judgment curve analysis, and the use of independent data sets were used to verify the accuracy of the predictions made. Alzheimer's disease and non-disease Alzheimer's groups were compared to identify dysregulated m6A-related genes and activated immune responses. In Alzheimer's disease, two molecular clusters linked to m6A were identified. Immune infiltration analysis indicated substantial variation in protection between groups. Cluster 1 included processes like the Toll-like receptor signaling cascade, positive regulation of chromatin binding, and numerous malignancies; cluster 2 included processes like the cell cycle, mRNA transport, and ubiquitin-mediated proteolysis. With a lower residual and root mean square error and a larger area under the curve (AUC = 0.951), the Random forest machine model showed the greatest discriminative performance. The resulting random forest model was based on five genes, and it performed well (AUC = 0.894) on external validation datasets. Accuracy in predicting Alzheimer's disease subgroups was also shown by analyses of nomograms, calibration curves, and decision curves. In this research, we methodically outlined the tangled web of connections between m6A and AD and created a promising prediction model for gauging the correlation between m6A subtype risk and AD pathology.

The Impact of Rocuronium and Sugammadex on Length of Stay in Patients Undergoing Open Spine Surgery: A Propensity Score-Matched Analysis.

Enhanced Recovery After Surgery (ERAS), an all-encompassing perioperative care approach, has been demonstrated to enhance surgical results, mitigate postoperative issues, and decrease the length of hospital stay (LOS) in diverse surgical specialties. In this retrospective study, our objective was to examine the influence of muscle relaxant selection on LOS and perioperative results in adult patients undergoing open spine surgery. Specifically, we compared 201 patients who received cisatracurium and neostigmine with 201 patients who received rocuronium and sugammadex, after 1:1 propensity score matching. The utilization of the rocuronium and sugammadex combination in anesthesia for open spinal surgery did not lead to a reduction in the LOS but was associated with a decreased incidence of postoperative chest radiographic abnormalities, including infiltration, consolidation, atelectasis, or pneumonia (p = 0.027). In our secondary analysis, multivariate analysis revealed multiple determinants influencing the prolonged LOS (>7 days) during open spine surgery. Bispectral index-guided anesthesia emerged as a protective factor, while variables such as excessive intraoperative blood loss and fluid administration as well as postoperative chest radiographic abnormalities independently contributed to prolonged LOS.

Motor progression phenotypes in early-stage Parkinson's Disease: A clinical prediction model and the role of glymphatic system imaging biomarkers.

BACKGROUND: Substantial heterogeneity of motor symptoms in Parkinson's disease (PD) poses a challenge to disease prediction. OBJECTIVES: The aim of this study was to construct a nomogram model that can distinguish different longitudinal trajectories of motor symptom changes in early-stage PD patients. METHODS: Data on 90 patients with 5-years of follow-up were collected from the Parkinson's Progression Marker Initiative (PPMI) cohort. We used a latent class mixed modeling (LCMM) to identify distinct progression patterns of motor symptoms, and backward stepwise logistic regression with baseline information was conducted to identify the potential predictors for motor trajectory and to develop a nomogram. The performance of the nomogram model was then evaluated using the optimism-corrected C-index for internal validation, the area under the curve (AUC) of the receiver operating characteristic (ROC) curve for discrimination, the calibration curve for predictive accuracy, and decision curve analysis (DCA) for its clinical value. RESULTS: We identified two trajectories for motor progression patterns. The first, Class 1 (Motor deteriorated group), was characterized by sustained, continuously worsening motor symptoms, and the second, Class 2 (Motor stable group), had stable motor symptoms throughout the follow-up period. The best combination of 7 baseline variables was identified and assembled into the nomogram: Scopa-AUT [odds ratio (OR), 1.11; p = 0.091], Letter number sequencing (LNS) (OR, 0.76; p = 0.068), the asymmetry index of putamen (OR, 0.95; p = 0.034), mean caudate uptake (OR, 0.14; p = 0.086), CSF pTau/α-synuclein (OR, 0.00; p = 0.011), CSF tTau/Aß (OR, 25434806; p = 0.025), and the index for diffusion tensor image analysis along the perivascular space (ALPS-index) (OR, 0.02; p = 0.030). The nomogram achieved good discrimination, with an original AUC of 0.901 (95% CI, 0.813-0.989), and the bias-corrected concordance index (C-index) with 1,000 bootstraps was 0.834. The calibration curve and DCA also suggested both the high accuracy and clinical usefulness of the nomogram, respectively. CONCLUSIONS: This study proposes an effective nomogram to predict different motor progression patterns in early-stage PD. Furthermore, the imaging biomarker indicating glymphatic function could be an independent predictive factor for PD motor progression.

Impacts of landscape patterns on plant species diversity at a global scale.

Landscape patterns are important drivers of biodiversity. Owing to differences in vegetation types, sampling methods, diversity measures, spatial scales, and landscape levels, the impact of landscape patterns on biodiversity remains widely debated. Using a global standardized plant community database and land use and land cover maps at 30-m resolution, for the period 1990-2017, we calculated plant species α- and ß-diversity, and landscape metrics at patch- and landscape-levels, and discerned the direct and indirect impacts of landscape patterns on plant species diversity based on environmental factors, namely climate, spatial features, and human disturbance. We found that landscape patterns exhibited the main indirect effects, whereas climate factors exhibited dominant direct effects on plant α-diversity via the direct effects of patch patterns and functional traits. With respect to ß-diversity, landscape-level patterns exerted more direct than indirect effects. These effects are strongly dependent on scale. Landscape- and patch-level patterns had opposite effects on plant diversity, depending on their composition and spatial structure, demonstrating that their effects could be mediated by one another. The adaptation of plants to landscape patterns is mainly through variations in leaf area, plant height, specific leaf area, stem density, seed biomass, and other seed-dispersal traits, which vary across vegetation types. Our findings highlight the importance of functional traits and diversity in understanding the mechanism by which landscape patterns influence plant species diversity; accordingly, we recommend balancing the spatial structure of patch- and landscape-level patterns to enhance variation in functional traits, and, ultimately, to maintain global plant diversity.

The Association of the Glymphatic Function with Parkinson's Disease Symptoms: Neuroimaging Evidence from Longitudinal and Cross-Sectional Studies.

OBJECTIVE: Emerging pathological evidence suggests that there is an association between glymphatic dysfunction and the progression of Parkinson's disease (PD). However, the clinical evidence of this association remains lacking. METHODS: In this study, the index for diffusion tensor image analysis along the perivascular space (ALPS index) was calculated to evaluate glymphatic function. RESULTS: Overall, 289 patients with PD were enrolled in the cross-sectional study. The ALPS index was found to be negatively correlated with age, disease severity, and dyskinesia. In the longitudinal study, the information on a total of 95 PD patients with 5-year follow-up examinations was collected from the Parkinson's Progression Marker Initiative, 33 of which were classified into the low ALPS index group, and all others were classified into the mid-high ALPS index group based on the first tertile of the baseline ALPS index. The results of longitudinal regression indicated that there was a significant main group effect on autonomic dysfunction, as well as on activities of daily living. In addition, the low ALPS index group had faster deterioration in MDS-UPDRS part III and part II, Symbol Digit Modalities Test and Hopkins Verbal Learning Test. Path analysis showed that ALPS index acted as a significant mediator between tTau/ Aß1-42 and cognitive change in the Symbol Digit Modalities Test score at year 4 and year 5. INTERPRETATION: The ALPS index, an neuroimaging marker of glymphatic function, is correlated with PD disease severity, motor symptoms, and autonomic function, and is predictive of faster deterioration in motor symptoms and cognitive function. Additionally, glymphatic function may mediate the pathological role of toxic protein in cognitive decline. ANN NEUROL 2023;94:672-683.

Cerebral Microvascular Injury Induced by Lag3-Dependent α-Synuclein Fibril Endocytosis Exacerbates Cognitive Impairment in a Mouse Model of α-Synucleinopathies.

The pathological accumulation of α-synuclein (α-Syn) and the transmission of misfolded α-Syn underlie α-synucleinopathies. Increased plasma α-Syn levels are associated with cognitive impairment in Parkinson's disease, multiple system atrophy, and dementia with Lewy bodies, but it is still unknown whether the cognitive deficits in α-synucleinopathies have a common vascular pathological origin. Here, it is reported that combined injection of α-Syn preformed fibrils (PFFs) in the unilateral substantia nigra pars compacta, hippocampus, and cerebral cortex results in impaired spatial learning and memory abilities at 6 months post-injection and that this cognitive decline is related to cerebral microvascular injury. Moreover, insoluble α-Syn inclusions are found to form in primary mouse brain microvascular endothelial cells (BMVECs) through lymphocyte-activation gene 3 (Lag3)-dependent α-Syn PFFs endocytosis, causing poly(ADP-ribose)-driven cell death and reducing the expression of tight junction proteins in BMVECs. Knockout of Lag3 in vitro prevents α-Syn PFFs from entering BMVECs, thereby reducing the abovementioned response induced by α-Syn PFFs. Deletion of endothelial cell-specific Lag3 in vivo reverses the negative effects of α-Syn PFFs on cerebral microvessels and cognitive function. In short, this study reveals the effectiveness of targeting Lag3 to block the spread of α-Syn fibrils to endothelial cells in order to improve cognition.

Vitamin D receptor (VDR) mediates the quiescence of activated hepatic stellate cells (aHSCs) by regulating M2 macrophage exosomal smooth muscle cell-associated protein 5 (SMAP-5). / ç»´ç”Ÿç´ D受体（VDR）通过调节M2巨噬细胞外泌体SMAP-5介导肝星状细胞的静息.

An effective therapeutic regimen for hepatic fibrosis requires a deep understanding of the pathogenesis mechanism. Hepatic fibrosis is characterized by activated hepatic stellate cells (aHSCs) with an excessive production of extracellular matrix. Although promoted activation of HSCs by M2 macrophages has been demonstrated, the molecular mechanism involved remains ambiguous. Herein, we propose that the vitamin D receptor (VDR) involved in macrophage polarization may regulate the communication between macrophages and HSCs by changing the functions of exosomes. We confirm that activating the VDR can inhibit the effect of M2 macrophages on HSC activation. The exosomes derived from M2 macrophages can promote HSC activation, while stimulating VDR alters the protein profiles and reverses their roles in M2 macrophage exosomes. Smooth muscle cell-associated protein 5 (SMAP-5) was found to be the key effector protein in promoting HSC activation by regulating autophagy flux. Building on these results, we show that a combined treatment of a VDR agonist and a macrophage-targeted exosomal secretion inhibitor achieves an excellent anti-hepatic fibrosis effect. In this study, we aim to elucidate the association between VDR and macrophages in HSC activation. The results contribute to our understanding of the pathogenesis mechanism of hepatic fibrosis, and provide potential therapeutic targets for its treatment.

Herpesvirus entry mediator regulates the transduction of Tregs via STAT5/Foxp3 signaling pathway in ovarian cancer cells.

The ratio of regulatory T cells (Treg) in peripheral blood of cancer patients has a closely correlation to the occurrence and development of ovarian cancer. In this study, our aim to explore the expression of herpesvirus entry mediator (HVEM) in ovarian cancer and its correlation with Tregs. The expression of HVEM in peripheral blood of ovarian cancer patients was detected by ELISA, and the ratio of CD4+ CD25 + Foxp3 positive Tregs cells was detected by flow cytometry. Ovarian cancer cell lines with high- and low-HVEM expression were constructed. CD4+ cells were co-cultured with ovarian cancer (OC) cells, and the expressions of IL-2 and TGF-ß1 in the supernatant of cells were detected by ELISA, and western blot was used to detect the expressions of STAT5, p-STAT5, and Foxp3. The results indicated that the number of Treg cells in the peripheral blood of OC patients increased, and the expression of HVEM increased, the two have a certain correlation. At the same time, the overexpression of HVEM promoted the expression of cytokines IL-2 and TGF- ß1, promoted the activation of STAT5 and the expression of Foxp3, leading to an increase in the positive rate of Treg, while the HVEM gene silence group was just the opposite. Our results showed that the expression of HVEM in OC cells has a positive regulation effect on Tregs through the STAT5/Foxp3 signaling pathway. To provide experimental basis and related mechanism for the clinical treatment of ovarian cancer.

[Toxicokinetics of emodin-8-O-ß-D-glucoside in rats in vivo].

This study aims to establish an ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) method for the determination of emodin-8-O-ß-D-glucoside(EG) and its metabolites in plasma, and to investigate the toxicokinetics(TK) behavior of them in rats. To be specific, the TK of EG and its metabolites from the first to the last administration in the repeated dose toxicity study was determined, and the kinetic parameters were calculated. The exposure of EG prototype and metabolites in rat plasma after oral administration of different doses of EG was evaluated. The result showed that the prototype of EG and its metabolites aloe-emodin-8-O-ß-D-glucoside, emodin, aloe-emodin, and hydroxyemodin could be detected in rats after oral administration of high-, medium-, and low-dose EG. The area under the curve(AUC) of the prototype and metabolites after the first and last administration was in positive correlation with the dose. The time to the maximum concentration(T_(max)) of EG and metabolites in the three administration groups was <6 h, and the longest in vivo residence time was 12 h. The T_(max) and in vivo residence time of EG were prolonged with the increase in the dose. The metabolites emodin, aloe-emodin, and hydroxyemodin all had two peaks. Both hydroxyemodin and aloe-emodin exhibited increased plasma exposure, slow metabolism, and accumulation in vivo. In addition, aloe-emodin-8-O-ß-D-glucoside and emodin disappeared with the increase in dose, suggesting the change of the metabolic pathway of EG in vivo in the case of high-dose administration. The mechanism of high-dose EG in vivo needs to be further explored. This study preliminarily elucidates the TK behavior of EG in rats, which is expected to support clinical drug use.

Distinct Bile Acid Signature in Parkinson's Disease With Mild Cognitive Impairment.

Backgrounds: Bile acid (BA) plays a crucial role in various neurodegenerative diseases, including Parkinson's disease (PD). However, no clinical evidence supports BA's potential role in patients with PD with mild cognitive impairment (PD-MCI). Objectives: This study aimed at investigating the differential BA profile between patients with PD-MCI and those with normal cognitive function (PD-NC). Methods: Ultra-high performance liquid chromatography-MS/MS was applied for BA quantitation. After between-group differences of the BA profile were addressed, orthogonal projections to latent structures-discriminant analysis (OPLS-DA) and the area under the receiver-operating-characteristic curve (AUC-ROC) were implemented for further verification. Results: Lower levels of chenodeoxycholic acid (CDCA), cholic acid (CA), and ursodeoxycholic acid (UDCA) were significantly associated with PD-MCI (p < 0.01 for both; VIP ≈ 2.67, 1.66, and 1.26, respectively). AUC-ROC were 78.1, 74.2, and 74.5% for CDCA, CA, and UDCA, respectively. Conclusion: CA, CDCA, and UDCA might be distinct BA signatures for patients with PD-MCI.

A multidimensional strategy to rapidly identify the chemical constituents in Shengxian Decoction by using ultra-performance liquid chromatography coupled with ion mobility spectrometry quadrupole time-of-flight mass spectrometry.

As a well-known traditional Chinese medicine formula, the chemical constituents of Shengxian Decoction still remain unclear due to its complexity. In this study, a multidimensional strategy based on ultra-performance liquid chromatography coupled with ion mobility spectrometry quadrupole time-of-flight mass spectrometry and informatics UNIFI platform was applied to achieve rapid and comprehensive identification of the complex composition of Shengxian Decoction. Data-independent acquisition, fast data-directed analysis, and high-definition MSE were used to obtain more and cleaner mass spectrum information. As a result, a total of 120 compounds including 74 saponins, 17 flavonoids, 7 cinnamic acid derivatives, 8 triterpenoids, and 14 others were identified or tentatively characterized by high-resolution molecular mass, fragment ions, and collision cross-section values. Furthermore, high-definition MSE was used to identify six pairs of co-eluting isomers that could not be detected from conventional data-independent acquisition and fast data-directed analysis. This research strategy has a certain potential for the analysis of other compound formulae and lays the foundation for the study of traditional Chinese medicine efficacy.

Research on Deep Learning Automatic Vehicle Recognition Algorithm Based on RES-YOLO Model.

With the introduction of concepts such as ubiquitous mapping, mapping-related technologies are gradually applied in autonomous driving and target recognition. There are many problems in vision measurement and remote sensing, such as difficulty in automatic vehicle discrimination, high missing rates under multiple vehicle targets, and sensitivity to the external environment. This paper proposes an improved RES-YOLO detection algorithm to solve these problems and applies it to the automatic detection of vehicle targets. Specifically, this paper improves the detection effect of the traditional YOLO algorithm by selecting optimized feature networks and constructing adaptive loss functions. The BDD100K data set was used for training and verification. Additionally, the optimized YOLO deep learning vehicle detection model is obtained and compared with recent advanced target recognition algorithms. Experimental results show that the proposed algorithm can automatically identify multiple vehicle targets effectively and can significantly reduce missing and false rates, with the local optimal accuracy of up to 95% and the average accuracy above 86% under large data volume detection. The average accuracy of our algorithm is higher than all five other algorithms including the latest SSD and Faster-RCNN. In average accuracy, the RES-YOLO algorithm for small data volume and large data volume is 1.0% and 1.7% higher than the original YOLO. In addition, the training time is shortened by 7.3% compared with the original algorithm. The network is then tested with five types of local measured vehicle data sets and shows satisfactory recognition accuracy under different interference backgrounds. In short, the method in this paper can complete the task of vehicle target detection under different environmental interferences.

Study on the autophagy-related mechanism of puerarin in improving the cognitive impairment induced by alcohol in female mice.

PRIMARY OBJECTIVE: This study aimed to investigate the effects of low-, medium-, and high-dose puerarin on cognitive impairment induced by 50% alcohol in mice and revealed the role of autophagy-related signaling pathways (mTOR and JNK pathways) in this process. RESEARCH DESIGN: The alcohol-induced brain injury model was treated with different concentrations of puerarin. The cognitive function of mice was evaluated by the behavioral test, and the changes of target proteins in hippocampus of each experimental group were detected. METHODS AND PROCEDURES: 40 female Kunming mice were randomly divided into 5 groups. The cognitive ability of mice was tested by Morris water maze, the morphological changes in the CA1 area of hippocampus were observed by HE staining, and the target proteins in hippocampus were measured by WB and IHC. MAIN OUTCOMES AND RESULTS: Compared with the 50% alcohol group, the expression of p-mTOR/mTOR and p-4E-BP1/4E-BP1 in hippocampus was significantly decreased, while the expression of p-JNK/JNK, Beclin1, and LC3 was significantly increased in the medium- and high-dose puerarin groups. CONCLUSIONS: Puerarin could improve the cognitive impairment induced by 50% alcohol. The mTOR and JNK pathways related to autophagy might be involved in this process.

Targeted downregulation of HIF-1α for restraining circulating tumor microemboli mediated metastasis.

Tumor metastasis is directly correlated to poor prognosis and high mortality. Circulating tumor cells (CTCs) play a pivotal role in metastatic cascades, of which CTC clusters is highly metastatic compared to single CTCs. Although platelets and neutrophils within the bloodstream could further exacerbate the pro-metastatic effect of single CTCs, the influence of platelets and neutrophils on CTC clusters mediated metastasis remains unclear. In this study, a pro-metastatic complex composed of CTC clusters, platelets and neutrophils, namely circulating tumor microemboli (CTM), was identified in vivo among different metastatic tumor, which was demonstrated with highly upregulation of hypoxia-inducible factor-1α (HIF-1α). While knock-out of HIF-1α or therapeutically downregulating of HIF-1α via HIF-1α inhibitor (BAY87-2243)-loaded neutrophil cyto-pharmaceuticals (PNEs) could efficiently restrain CTM mediated lung metastasis. The underlying mechanism of metastasis inhibition was attributed to the downregulation of HIF-1α-associated PD-L1, which would enhance immune response for inhibiting metastatic cells. Thus, our work here illustrates that hypoxia was an essential factor in promoting CTM colonization in lung. More importantly, we provide a promising strategy by targeted downregulation of HIF-1α in CTM via neutrophil cyto-pharmaceuticals for treatment of CTM mediated metastasis.

Genome-wide identification and expression analysis of calmodulin and calmodulin-like genes in wheat (Triticum aestivum L.).

Calmodulin (CaM) and calmodulin-like (CML) genes are widely involved in plant growth and development and mediating plant stress tolerance. However, the whole genome scale studies about CaM and CML gene families have not been done in wheat, and the possible functions of most wheat CaM/CML gene members are still unknown. In this study, a total of 18 TaCaM and 230 TaCML gene members were identified in wheat genome. Among these genes, 28 TaCaM/CML gene members have 74 duplicated copies, while 21 genes have 48 transcript variants, resulting in 321 putative TaCaM/CML transcripts totally. Phylogenetic tree analysis showed that they can be classified into 7 subfamilies. Similar gene structures and protein domains can be found in members of the same gene cluster. The TaCaM/CML genes were spread among all 21 chromosomes with unbalanced distributions, while most of the gene clusters contained 3 homoeologous genes located in the same homoeologous chromosome group. Synteny analysis showed that most of TaCaM/CMLs gene members can be found with 1-4 paralogous genes in T. turgidum and Ae. Tauschii. High numbers of cis-acting elements related to plant hormones and stress responses can be observed in the promoters of TaCaM/CMLs. The spatiotemporal expression patterns showed that most of the TaCaM/TaCML genes can be detected in at least one tissue. The expression levels of TaCML17, 21, 30, 50, 59 and 75 in the root or shoot can be up-regulated by abiotic stresses, suggesting that TaCML17, 21, 30, 50, 59 and 75 may be related with responses to abiotic stresses in wheat. The spatiotemporal expression patterns of TaCaM/CML genes indicated they may be involved widely in wheat growth and development. Our results provide important clues for exploring functions of TaCaMs/CMLs in growth and development as well as responses to abiotic stresses in wheat in the future.