Effects of alligator weed invasion on wetlands in protected areas: A case study of Lishui Jiulong National Wetland Park.

Wetlands are one of the ecosystems most easily and severely invaded by alien species. Biological invasions can have significant impacts on local plant communities and ecosystem functioning. While numerous studies have assessed the impacts of biological invasions on wetlands, relatively few have been conducted in protected areas such as national wetland parks. We conducted a field survey to investigate the effects of the invasive herb Alternanthera philoxeroides (alligator weed) on the productivity and structure of plant communities and soil microbial communities in the Lishui Jiulong National Wetland Park in Zhejiang, China. We also examined the potential influence of the distance to the river edge on the impact of the alligator weed invasion. The alligator weed invasion significantly altered the plant community structure. It reduced the coverage of co-occurring plant species, including native (-31.2 %), invasive (-70.1 %), and non-invasive alien plants (-58.4 %). However, it increased species richness by 50 %, Pielou's evenness by 20 %, and Simpson's diversity index by 29.1 % for the overall plant community. Furthermore, within the community not invaded by alligator weed, increasing the distance to the river edge decreased the number of native plants by 57.0 % and the aboveground biomass of other invasive plants by 78.6 %. Contrary to expectations, no effects of the alligator weed invasion were observed on soil fungal and bacterial communities. Therefore, the impacts of the alligator weed invasion varied with spatial context and plant category, emphasizing the need to consider multiple scales and environmental factors when assessing the effects of invasive species on plant biodiversity. These insights enhance our understanding of plant invasions in wetlands and can guide the development of effective management strategies for these important ecosystems.

GIAE-DTI: Predicting Drug-Target Interactions Based on Heterogeneous Network and GIN-based Graph Autoencoder.

Accurate prediction of drug-target interactions (DTIs) is essential for advancing drug discovery and repurposing. However, the sparsity of DTI data limits the effectiveness of existing computational methods, which primarily focus on sparse DTI networks and have poor performance in aggregating information from neighboring nodes and representing isolated nodes within the network. In this study, we propose a novel deep learning framework, named GIAE-DTI, which considers cross-modal similarity of drugs and targets and constructs a heterogeneous network for DTI prediction. Firstly, the model calculates the cross-modal similarity of drugs and proteins from the relationships among drugs, proteins, diseases, and side effects, and performs similarity integration by taking the average. Then, a drug-target heterogeneous network is constructed, including drug-drug interactions, protein-protein interactions, and drug-target interactions processed by weighted K nearest known neighbors. In the heterogeneous network, a graph autoencoder based on a graph isomorphism network is employed for feature extraction, while a dual decoder is utilized to achieve better self-supervised learning, resulting in latent feature representations for drugs and targets. Finally, a deep neural network is employed to predict DTIs. The experimental results indicate that on the benchmark dataset, GIAE-DTI achieves AUC and AUPR scores of 0.9533 and 0.9619, respectively, in DTI prediction, outperforming the current state-of-the-art methods. Additionally, case studies on four 5-hydroxytryptamine receptor-related targets and five drugs related to mental diseases show the great potential of the proposed method in practical applications.

Comparison of the predictive value of four insulin resistance surrogates and hyperuricemia in women with recurrent pregnancy loss: A cross-sectional study.

BACKGROUND: Insulin resistance (IR), hyperuricemia (HUA), and recurrent pregnancy loss (RPL) elevate the risk of cardiovascular disease and metabolic disorders, while also impacting reproductive health. The relationship between IR, HUA, and RPL has not been thoroughly investigated. This study investigates the relationship between four IR surrogates and the risk of HUA in RPL patients. METHODS: Data from a real-world study on RPL in China were analyzed using multivariable regression to determine the relationship between HUA and triglyceride and glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio, and metabolic score for insulin resistance (METS-IR). The predictive ability of these surrogates for detecting HUA in RPL patients was evaluated using the area under the curve and receiver operating characteristic analysis. Sensitivity analysis was performed using bootstrapping resampling. RESULTS: The study included 769 patients with a mean age of 30 ± 4 years old, 8.32% of whom had HUA. Four IR surrogates were closely related to HUA in patients of RPL after adjusting for age, menstrual cycle, creatinine, alanine transaminase, aspartate transaminase, total cholesterol, homocysteine, and low-density lipoprotein, with area under the curve values of TyG index (OR = 0.693, 95% confidence interval [CI]: 0.626, 0.759), TyG-BMI (OR = 0.731 95% CI: 0.657, 0.805), TG/HDL-C (OR = 0.703, 95% CI: 0.641, 0.764), and METS-IR (OR = 0.728, 95% CI: 0.655, 0.799). Bootstrap resampling yielded similar results. CONCLUSIONS: The TyG index, TyG-BMI, TG/HDL-c, and METS-IR significantly correlated with HUA in patients with RPL. The TyG-BMI had the highest predictive value of the four IR surrogates.

Causal relationships of mental diseases and thyroid diseases based on a Mendelian randomization study.

Evidence from observational researches have suggested that mental diseases are able to affect thyroid diseases. However, the causal relationship between mental diseases and the risk of thyroid diseases still remains unclear. Herein, we conducted a two-sample Mendelian randomization (MR) statistical analysis method to assess the causality between mental diseases and thyroid diseases. Initially, publicly available genome-wide association studies summary data were leveraged to obtain single-nucleotide polymorphisms based on set parameters. Subsequently, a two-sample MR was utilized to analyze causal relationships between mental diseases (Alzheimer disease, bipolar disorder, major depressive disorder, Parkinson disease, schizophrenia) and thyroid diseases (hyperthyroidism/thyrotoxicosis, hypothyroidism) with removing outliers based on MR-PRESSO method. Finally, 8 regression MR methods (inverse variance weighted [IVW], IVW fixed effects, c, MR Egger, weighted median, penalized weighted median, simple mode, weighted mode) were performed to evaluate bias and effectiveness, of which IVW was considered as the primary method. Our results demonstrated that most of mental diseases have no causal relationships with thyroid diseases except bipolar disorder and hyperthyroidism/thyrotoxicosis based on IVW method [odds ratio: 0.999, 95% confidence interval: 0.998-1.000, P = .028], and bipolar disorder and hypothyroidism based on IVW method [odds ratio: 0.997, 95% confidence interval: 0.995-0.999, P = .002]. Then we subsequently conducted a consistent robustness analysis to assess heterogeneity and horizontal pleiotropy. Our method reports causal relationships exist mental diseases and the risk of thyroid diseases. Subsequent researches are still warranted to determine how mental diseases influence the development of thyroid diseases.

Preparation of accelerated-wound-healing lignin/dopamine-based nano-Fe3O4 hydrogels in sensing.

Flexible conductive hydrogels hold great promise for applications in motion and medical detection. It is difficult to produce conductive hydrogel epidermal sensors in wearable hydrogels with dependable adhesion, sensing, and wound-healing properties. Nano-Fe3O4 was used as physical cross-linking points in the polyacrylamide/polyvinyl alcohol double network (PP) to increase the strain capacity of the hydrogel. The conductive lignin-dopamine (LD) was immobilized on the surface of Fe3O4 particles, and the LD-coated Fe3O4 was then incorporated into the double network hydrogel to create the PP/LD/Fe3O4 hydrogel. This work was done to look into the possibility of using Fe3O4 hydrogels as flexible strain sensors. The addition of LD/Fe3O4 caused the composite hydrogel to strain up to 124 %, with a modulus of elasticity of 21,308 Pa and electrical conductivity as high as 2.3 S•m-1 following the introduction of LD/Fe3O4. Moreover, the PP/LD/Fe3O4 hydrogel's adhesive qualities offered adequate antimicrobial properties and promoted wound healing. These results indicate that the developed electricity-responsive and tissue-adhesive hydrogel dressing offers a candidate to serve as a tissue sealant for wound healing.

SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis.

The integration of morphological attributes extracted from histopathological images and genomic data holds significant importance in advancing tumor diagnosis, prognosis, and grading. Histopathological images are acquired through microscopic examination of tissue slices, providing valuable insights into cellular structures and pathological features. On the other hand, genomic data provides information about tumor gene expression and functionality. The fusion of these two distinct data types is crucial for gaining a more comprehensive understanding of tumor characteristics and progression. In the past, many studies relied on single-modal approaches for tumor diagnosis. However, these approaches had limitations as they were unable to fully harness the information from multiple data sources. To address these limitations, researchers have turned to multi-modal methods that concurrently leverage both histopathological images and genomic data. These methods better capture the multifaceted nature of tumors and enhance diagnostic accuracy. Nonetheless, existing multi-modal methods have, to some extent, oversimplified the extraction processes for both modalities and the fusion process. In this study, we presented a dual-branch neural network, namely SG-Fusion. Specifically, for the histopathological modality, we utilize the Swin-Transformer structure to capture both local and global features and incorporate contrastive learning to encourage the model to discern commonalities and differences in the representation space. For the genomic modality, we developed a graph convolutional network based on gene functional and expression level similarities. Additionally, our model integrates a cross-attention module to enhance information interaction and employs divergence-based regularization to enhance the model's generalization performance. Validation conducted on glioma datasets from the Cancer Genome Atlas unequivocally demonstrates that our SG-Fusion model outperforms both single-modal methods and existing multi-modal approaches in both survival analysis and tumor grading.

MRDPDA: A multi-Laplacian regularized deepFM model for predicting piRNA-disease associations.

PIWI-interacting RNAs (piRNAs) are a typical class of small non-coding RNAs, which are essential for gene regulation, genome stability and so on. Accumulating studies have revealed that piRNAs have significant potential as biomarkers and therapeutic targets for a variety of diseases. However current computational methods face the challenge in effectively capturing piRNA-disease associations (PDAs) from limited data. In this study, we propose a novel method, MRDPDA, for predicting PDAs based on limited data from multiple sources. Specifically, MRDPDA integrates a deep factorization machine (deepFM) model with regularizations derived from multiple yet limited datasets, utilizing separate Laplacians instead of a simple average similarity network. Moreover, a unified objective function to combine embedding loss about similarities is proposed to ensure that the embedding is suitable for the prediction task. In addition, a balanced benchmark dataset based on piRPheno is constructed and a deep autoencoder is applied for creating reliable negative set from the unlabeled dataset. Compared with three latest methods, MRDPDA achieves the best performance on the pirpheno dataset in terms of the five-fold cross validation test and independent test set, and case studies further demonstrate the effectiveness of MRDPDA.

Higher Flower Hydraulic Safety, Drought Tolerance and Structural Resource Allocation Provide Drought Adaptation to Low Mean Annual Precipitation in Caragana Species.

Determining the differences in flower hydraulic traits and structural resource allocation among closely related species adapted to low mean annual precipitation (MAP) can provide insight into plant adaptation to arid environments. Here, we measured the maximum flower hydraulic conductance (Kmax-flower), water potential at induction 50% loss of Kmax-flower (P50-flower), flower pressure-volume parameters, dry mass of individual flowers and structural components (vexillum, wings, keels, stamens and sepals) of six Caragana species growing in regions ranging from 110 to 1400 mm MAP. Compared with species from high-MAP environments, those from low-MAP environments presented lower Kmax-flower, more negative P50-flower, osmotic potential at full turgor (πo) and turgor loss points (πtlp), and a greater bulk modulus of elasticity (ε). Consequently, a negative correlation between Kmax-flower (hydraulic efficiency) and P50-flower (hydraulic safety) was observed across Caragana species. Furthermore, the dry masses of individual flowers and structural components (vexillum, wings, keels, stamens and sepals) were greater in the species from the low-MAP environment than in those from the high-MAP environment. These findings suggest that greater flower hydraulic safety and drought tolerance combined with greater structural resource allocation promote drought adaptation in Caragana species to low-MAP environments.

Transcriptional activation of PINK1 by MyoD1 mediates mitochondrial homeostasis to induce renal calcification in pediatric nephrolithiasis.

This study aims to uncover the molecular mechanisms underlying pediatric kidney stone formation induced by renal calcium deposition by utilizing high-throughput sequencing data to reveal the regulation of PINK1 by MyoD1. We performed transcriptome sequencing on peripheral blood samples from healthy children and children with kidney stones to obtain differentially expressed genes (DEGs). Genes related to mitochondrial oxidative stress were obtained from the Genecards website and intersected with DEGs to obtain candidate target genes. Additionally, we conducted protein-protein interaction (PPI) analysis using the STRING database to identify core genes involved in pediatric kidney stone disease (KSD) and predicted their transcription factors using the hTFtarget database. We assessed the impact of MyoD1 on the activity of the PINK1 promoter using dual-luciferase reporter assays and investigated the enrichment of MyoD1 on the PINK1 promoter through chromatin immunoprecipitation (ChIP) experiments. To validate our hypothesis, we selected HK-2 cells and established an in vitro kidney stone model induced by calcium oxalate monohydrate (COM). We evaluated the expression levels of various genes, cell viability, volume of adherent crystals in each group, as well as mitochondrial oxidative stress in cells by measuring mitochondrial membrane potential (Δψm), superoxide dismutase (SOD) activity, reactive oxygen species (ROS), and malondialdehyde (MDA) content. Mitochondrial autophagy was assessed using mtDNA fluorescence staining and Western blot analysis of PINK1-related proteins. Apoptosis-related proteins were evaluated using Western blot analysis, and cell apoptosis was measured using flow cytometry. Furthermore, we developed a rat model of KSD and assessed the expression levels of various genes, as well as the pathologic changes in rat renal tissues using H&E and von Kossa staining, transmission electron microscopy (TEM), and the expression of creatinine, blood urea nitrogen, neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule-1 (KIM-1) to evaluate the mitochondrial oxidative stress in vivo (through measurement of Δψm, SOD activity, ROS, and MDA content). Mitochondrial autophagy was evaluated by Western blot analysis of PINK1-associated proteins. Apoptosis-related proteins were detected using Western blot analysis, and cellular apoptosis was examined using cell flow cytometry and TUNEL staining. Bioinformatics analysis revealed that the PINK1 gene is upregulated and vital in pediatric kidney stone patients. Our in vitro and in vivo experiments demonstrated that silencing PINK1 could inhibit kidney stone formation by suppressing mitochondrial oxidative stress both in vitro and in vivo. We identified MyoD1 as an upstream transcription factor of PINK1 that contributes to the occurrence of pediatric kidney stones through the activation of PINK1. Our in vivo and in vitro experiments collectively confirmed that silencing MyoD1 could inhibit mitochondrial oxidative stress, mitochondrial autophagy, and cellular apoptosis in a rat model of kidney stones by downregulating PINK1 expression, consequently suppressing the formation of kidney stones. In this study, we discovered that MyoD1 may promote kidney stone formation and development in pediatric patients by transcriptionally activating PINK1 to induce mitochondrial oxidative stress.

Efficacy and safety of catheter ablation for atrial fibrillation in patients with heart failure with preserved ejection fraction: a systematic review and meta-analysis.

Background: Catheter ablation (CA) effectively treats atrial fibrillation (AF) in heart failure (HF) with reduced ejection fraction (HFrEF), improving clinical outcomes. However, its benefits for AF patients with heart failure with preserved ejection fraction (HFpEF) are still unclear. Methods: We systematically searched PubMed, Embase, Web of Science, the Cochrane Library, and Scopus for studies investigating outcomes of CA in AF patients with HFpEF. Efficacy indicators included freedom from AF and antiarrhythmic drugs (AAD) free AF elimination. Safety indicators comprised total complications, HF admission, all-cause admission, and all-cause mortality. Sixteen studies with 20,796 patients included in our research. Results: The comprehensive analysis demonstrated that, when comparing CA with medical therapy in HFpEF, no significant differences were observed in terms of HF admissions, all-cause admissions, and all-cause mortality [(OR: 0.42; 95% CI: 0.12-1.51, P = 0.19), (HR: 0.78; 95% CI: 0.48-1.27, P = 0.31), and (OR: 1.10; 95% CI: 0.83-1.44, P = 0.51)], while freedom from AF was significantly higher in CA (OR: 5.88; 95% CI: 2.99-11.54, P < 0.00001). Compared with HFrEF, CA in HFpEF showed similar rates of freedom from AF, AAD-free AF elimination, total complications, and all-cause admission were similar [(OR:0.91; 95% CI: 0.71,1.17, P =0.47), (OR: 0.97; 95% CI: 0.50-1.86, P = 0.93), (OR: 1.27; 95% CI: 0.47-3.41, P = 0.64), (OR: 1.11; 95% CI: 0.72, 1.73; P = 0.63)]. However, CA in HFpEF was associated with lower rates of HF admission and all-cause mortality [(OR: 0.35; 95% CI: 0.20, 0.60; P = 0.0002), (OR: 0.40; 95% CI: 0.18, 0.85; P = 0.02)]. Compared with patients without HF, CA in HFpEF patients exhibited lower rates of AAD-free AF elimination (OR: 0.48; 95% CI: 0.30, 0.75; P = 0.001). However, their rates of freedom from AF and total complications were similar [(OR: 0.70; 95% CI: 0.48, 1.02; P = 0.06), (OR: 0.60; 95% CI: 0.19, 1.90; P = 0.38)]. Conclusion: This meta-analysis conducted provided a comprehensive evaluation of the efficacy and safety of CA in patients with AF and HFpEF. The results suggest that CA may represent a valuable treatment strategy for patients with AF and HFpEF. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier (CRD42024514169).

Ilizarov Distraction for Congenital Pseudoarthrosis of the Tibia in Adults.

OBJECTIVE: The clinical evidence on the management for congenital pseudoarthrosis of the tibia (CPT) in adults is limited. The aim of this study is to assess the functional and radiological outcomes of Ilizarov distraction for treating CPT in adults. METHODS: A retrospective analysis was conducted. Between 2013 and 2022, an Ilizarov distraction technique was performed on 14 adults (14 limbs) with CPT in our limb deformity center. There were seven females and seven males with a mean age of 33.7 (range, 18 ~ 53) years. The diagnosis of NF-1 was confirmed in seven (50.0%) patients. Eight patients had a history of previous surgical failure. The pseudoarthrosis occurred in the middle and lower tibia in all limbs (six left and eight right). The CPT was classified by Crawford classification and Paley classification. The surgical procedures, external fixation time (EFT), and all outcomes and complications were recorded. The Kolmogorov-Smirnov test was performed to test the normality of the data. The American Orthopedic Foot and Ankle Society (AOFAS) ankle-hindfoot score at the preoperative and final follow-up was compared by using the Wilcoxon's signed-rank test. The limb-length discrepancy (LLD) and a self-made exercise capacity score at the preoperative and final follow-up were compared by using the student's t-test. The clinical and radiological outcomes were assessed by the Inan scale. RESULTS: The mean EFT of Ilizarov fixator was 19.5 months (range, 7.3 ~ 39.1). At a median follow-up of 26.8 months (IQR, 20.2 ~ 34.3), bone union of the pseudarthrosis and consolidation of the distraction zone were achieved in all patients. The mean LLD was decreased from 11.3 cm (range, 3.4 ~ 17.3) preoperatively to 1.1 cm (range, 0.3 ~ 3.7) (p < 0.05). The mean or median AOFAS ankle-hindfoot score was improved from 53.5 (IQR, 26.5 ~ 60.5) preoperatively to 63.9 (range, 53 to 73) at final follow-up (p < 0.05). The mean score for exercise capacity were improved from 4.9 (range, 1 to 8) preoperatively to 9.6 (range, 7 ~ 12) at final follow-up (p < 0.05). According to the criteria described by Inan et al., the clinical results were classified as good in 10 and fair in 4, while the radiological results were classified as excellent in three, good in 8, and fair in 2. The success rate was 92.9%, as refracture was defined as treatment failure and occurred in one patient. CONCLUSION: Ilizarov distraction provided a suitable treatment option for the CPT in adults, as it could achieve a high rate of bone union, a good correction of secondary deformity, a low risk of refracture, and consequently restore a relatively functional limb.

The Gradual Correction of Rigid Pes Cavus Using Midfoot Osteotomy Combined with Ilizarov Methods.

OBJECTIVE: Midfoot osteotomy combined with Ilizarov methods of correction is a rarely reported treatment that is particularly well-suited for severe rigid pes cavus. The study aimed to assess the radiological and clinical results of patients who had been treated for rigid pes cavus using this method. METHODS: The study retrospectively analyzed the clinical and radiological data of 15 pes cavus in 12 patients who were corrected by midfoot osteotomy with Ilizarov external frame in our department from March 2020 to September 2022. Radiologic outcomes were measured using the Meary angle (MA), talus-first metatarsal angle (TM1A), calcaneal varus angle (CVA) and foot length with weight-bearing radiographs. Functional assessments were evaluated in terms of pain, function, and quality of life by using the visual analogue scale (VAS), the American Orthopedic Foot and Ankle Society hindfoot scale score (AOFAS), and 36-item Short Form Health Survey (SF-36). Additionally, the postoperative satisfaction of patients was investigated by a questionnaire. The clinical and radiological results were evaluated by a paired t-test. RESULTS: All patients received plantigrade feet and pain relief. The mean follow-up was 33.1 ± 5.0 months (range from 25 to 41 months). The etiology included poliomyelitis (4), idiopathic (3), trauma (2), spina bifida (2) and tethered cord syndrome (1). The duration of gradual correction was 30.4 ± 10.6 days, and the external fixation time was 116.3 ± 33.3 days. The bony union rate was 100%. The VAS, AOFAS, and SF-36 scores significantly improved (p < 0.05). The MA, TM1A, and CVA were close to or reached the normal range postoperative (p < 0.01). The length of each foot was well preserved, which was increased more than 0.8 cm than preoperative. No major complications were reported except two cases of mildly hindfoot varus deformity. The results of the questionnaire showed that patients' satisfaction was 92% (11/12). CONCLUSION: Midfoot osteotomy combined with Ilizarov external frame proved to be a reasonable procedure with satisfying mid-term results for the gradual correction of rigid pes cavus.

Programmable Framework Nucleic Acid-Modified Nanomagnetic Beads for Efficient Isolation of Exosomes and Exosomal Proteomics Analysis.

Exosomes are increasingly being regarded as emerging and promising biomarkers for cancer screening, diagnosis, and therapy. The downstream molecular analyses of exosomes were greatly affected by the isolation efficiency from biosamples. Among the current exosome isolation strategies, affinity nanomaterials performed comparably better with selectivity and specificity. However, these techniques did not take the structure and size of exosomes into account, which may lead to a loss of isolation efficiency. In this article, a framework nucleic acid was employed to prepare a well-designed nanosized bead Fe3O4@pGMA@DNA TET@Ti4+ for enrichment of exosomes. The abundant phosphate groups in the framework nucleic acid provide binding sites to immobilize Ti4+, and its rigid three-dimensional skeleton makes them act as roadblocks to barricade exosomes and provide affinity interactions on a three-dimensional scale, resulting in the improvement of isolation efficiency. The model exosomes can be effectively isolated with 92% recovery in 5 min. From 100 µL of HeLa cell culture supernatant, 34 proteins out of the top 100 commonly identified exosomal proteins were identified from the isolated exosomes by the novel beads, which is obviously more than that by TiO2 (19 proteins), indicating higher isolation efficiency and exosome purity by Fe3O4@pGMA@DNA TET@Ti4+ beads. The nanobeads were finally applied for comparing exosomal proteomics analysis from real clinical serum samples. Twenty-five upregulated and 10 downregulated proteins were identified in the lung cancer patients group compared to the health donors group, indicating that the novel nanobeads have great potential in isolation of exosomes for exosomal proteomics analysis in cancer screening and diagnosis.

Preparation of a Lactobacillus rhamnosus ATCC 7469 microencapsulated-lactulose synbiotic and its effect on equol production.

Equol is a highly active product of soy isoflavones produced by specific bacteria in the human or animal colon. However, equol production is influenced by differences in the gut flora carried by the body. Our previous research has shown that a synbiotic preparation comprising the probiotic Lactobacillus rhamnosus ATCC 7469 and the prebiotic lactulose can enhance equol production by modulating the intestinal flora. Nevertheless, the harsh environment of the gastrointestinal tract limits this capability by diminishing the number of probiotics reaching the colon. Microencapsulation of probiotics is an effective strategy to enhance their viability. In this study, probiotic gel microspheres (SA-S-CS) were prepared using an extrusion method, with sodium alginate (SA) and chitosan (CS) serving as the encapsulating materials. Scanning electron microscopy (SEM) was employed to observe the surface morphology and the internal distribution of bacteria within the microcapsules. The structural characteristics of the microcapsules were investigated using Fourier-transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD). Furthermore, the thermal stability, storage stability, probiotic viability post-simulated gastrointestinal fluid treatment, and colon release rate were examined. Finally, the impact of probiotic microencapsulation on promoting equol production by the synbiotic preparation was assessed. The results indicated that the microcapsules exhibited a spherical structure with bacteria evenly distributed on the inner surface. Studies on thermal and storage stability showed that the number of viable cells in the probiotic microcapsule group significantly increased compared to the free probiotic group. Gastrointestinal tolerance studies revealed that after in vitro simulated gastrointestinal digestion, the amount of viable cells in the microcapsules was 7 log10 CFU g-1, demonstrating good gastrointestinal tolerance. Moreover, after incubation in simulated colonic fluid for 150 min, the release rate of probiotics reached 93.13%. This suggests that chitosan-coated sodium alginate microcapsules can shield Lactobacillus rhamnosus ATCC 7469 from the gastrointestinal environment, offering a novel model for synbiotic preparation to enhance equol production.

Evaluating the efficacy of percutaneous puncture biopsy guided by contrast-enhanced ultrasound for peripheral pulmonary lesions.

BACKGROUND: The incidence and mortality of lung cancer have increased annually. Accurate diagnosis can help improve therapeutic efficacy of interventions and prognosis. Percutaneous lung biopsy is a reliable method for the clinical diagnosis of lung cancer. Ultrasound-guided percutaneous lung biopsy technology has been widely promoted and applied in recent years. AIM: To investigate the diagnostic value of contrast-enhanced ultrasound (CEUS)-guided percutaneous biopsy in peripheral pulmonary lesions. METHODS: We retrospectively collected data on 237 patients with peripheral thoracic focal lesions who underwent puncture biopsy at Wuxi People's Hospital. The patients were randomly divided into two groups: The CEUS-guided before lesion puncture group (contrast group) and conventional ultrasound-guided group (control group). Analyze the diagnostic efficacy of the puncture biopsy, impact of tumor size, and number of puncture needles and complications were analyzed and compared between the two groups. RESULTS: Accurate pathological results were obtained for 92.83% (220/237) of peripheral lung lesions during the first biopsy, with an accuracy rate of 95.8% (113/118) in the contrast group and 89.9% (107/119) in the control group. The difference in the area under the curve (AUC) between the contrast and the control groups was not statistically significant (0.952 vs 0.902, respectively; P > 0.05). However, when the lesion diameter ≥ 5 cm, the diagnostic AUC of the contrast group was higher than that of the control group (0.952 vs 0.902, respectively; P < 0.05). In addition, the average number of puncture needles in the contrast group was lower than that in the control group (2.58 ± 0.53 vs 2.90 ± 0.56, respectively; P < 0.05). CONCLUSION: CEUS guidance can enhance the efficiency of puncture biopsy of peripheral pulmonary lesions, especially for lesions with a diameter ≥ 5 cm. Therefore, CEUS guidance has high clinical diagnostic value in puncture biopsy of peripheral focal lung lesions.

From Wilson's Disease to Neurodevelopmental Disorder with Involuntary Movements, Different Genetic Interpretations in a Female Patient.

BACKGROUND: A 19-year-old female patient presented at 2 years of age with dysarthria, incoherent speech, and unsteady ambulation. She is prone to leaning backward when walking and has involuntary movements of the whole body. Besides, she has poor numeracy skills. She has been diagnosed with Wilson's disease (WD) in China and Japan. OBJECTIVE: The objective of this study was to further clarify the diagnosis of this patient. METHODS: The patient and her parents were detected with whole-exome sequencing. RESULTS: Based on the genetic test results, genetic analyses, and clinical manifestations, a diagnosis of WD in this patient was ruled out. The patient was eventually diagnosed with neurodevelopmental disorder with involuntary movements. CONCLUSIONS: This study reinterprets the genetic test results of a young female patient and leads to reflections on the genetic diagnostic criteria for WD: the Leipzig score is suitable for the diagnosis of most WD patients, and the genetic testing section of the score is of great diagnostic value. However, in some special cases, the proband and their first-degree relatives should further complete cosegregation analysis to determine the origin of the lesion gene and to verify the reliability of the genetic test. In addition, this study suggests that further improving the scoring rules of the gene testing part of the Leipzig scoring system may be more helpful in achieving an accurate diagnosis of WD. © 2024 International Parkinson and Movement Disorder Society.

VNN1 Gene Expression and Polymorphisms Associated with Chicken Carcass Traits.

This study aimed to investigate the association between hepatic VNN1 expression and carcass traits in Mahuang chickens as well as to identify polymorphisms in the upstream and downstream regions of VNN1 that could potentially be associated with these carcass traits. The study revealed that VNN1 expression levels in liver correlated with various carcass traits such as dressed weight, eviscerated weight, and abdominal fat weight. A total of 39 polymorphic sites were identified, among which 23 were found to be associated with 15 different carcass traits. These polymorphic sites were organized into three distinct haplotype blocks, with BLOCK2 and BLOCK3 being associated with various eviscerated weight percentages, thigh weight, breast muscle weight, wing weight, and other traits. The study underscores the significant role of VNN1 in influencing the carcass traits of Mahuang chickens and sheds light on the genetic foundations of these traits. The findings provide valuable insights that could inform breeding strategies aimed at optimizing traits relevant to market demands and slaughtering efficiency.

Antibacterial mechanism of metabolites of Lactobacillus plantarum against Pseudomonas lundensis and their application in dry-aged beef preservation.

In this study, the antibacterial mechanism of metabolites of Lactobacillus plantarum SCB2505 (MLp SCB2505) against Pseudomonas lundensis (P. lundensis) SCB2605 was investigated, along with evaluation of their preservative effects on dry-aged beef. The results demonstrated the effective inhibition of MLp SCB2505 on the growth and biofilm synthesis of P. lundensis. The treatment with MLp SCB2505 led to the compromised membrane integrity, as evidenced by reduced intracellular ATP content, increased extracellular AKPase, K+ and protein content, as well as disrupted cell morphology. Further metabolomics analysis revealed that MLp SCB2505 interfered amino acid metabolism, nucleotide metabolism, cofactor and vitamin metabolism, lipid metabolism and respiratory chain in P. lundensis, ultimately leading to the interrupted life activities and even death of the bacteria. Besides, MLp SCB2505 could effectively inhibit the growth of Pseudomonas in dry-aged beef and delay spoilage. These findings propose the potential application of MLp SCB2505 as an antibacterial agent in meat products.

METTL1-modulated LSM14A facilitates proliferation and migration in glioblastoma via the stabilization of DDX5.

Glioblastoma (GBM) is characterized by aggressive growth, invasiveness, and poor prognosis. Elucidating the molecular mechanisms underlying GBM is crucial. This study explores the role of Sm-like protein 14 homolog A (LSM14A) in GBM. Bioinformatics and clinical tissue samples analysis demonstrated that overexpression of LSM14A in GBM correlates with poorer prognosis. CCK8, EdU, colony formation, and transwell assays revealed that LSM14A promotes proliferation, migration, and invasion in GBM in vitro. In vivo mouse xenograft models confirmed the results of the in vitro experiments. The mechanism of LSM14A modulating GBM cell proliferation was investigated using mass spectrometry, co-immunoprecipitation (coIP), protein half-life, and methylated RNA immunoprecipitation (MeRIP) analyses. The findings indicate that during the G1/S phase, LSM14A stabilizes DDX5 in the cytoplasm, regulating CDK4 and P21 levels. Furthermore, METTL1 modulates LSM14A expression via mRNA m7G methylation. Altogether, our work highlights the METTL1-LSM14A-DDX5 pathway as a potential therapeutic target in GBM.

Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care.

BACKGROUND: Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Screening increases AF detection and facilitates the early adoption of comprehensive intervention. Long-term wearable devices have become increasingly popular for AF screening in primary care. However, interpreting data obtained by long-term wearable ECG devices is a problem in primary care. To diagnose the disease quickly and accurately, we aimed to build AF episode detection model based on a nonlinear Lorenz scattergram (LS) and deep learning. METHODS: The MIT-BIH Normal Sinus Rhythm Database, MIT-BIH Arrhythmia Database and the Long-Term AF Database were extracted to construct the MIT-BIH Ambulatory Electrocardiograph (MIT-BIH AE) dataset. We converted the long-term ECG into a two-dimensional LSs. The LSs from MIT-BIH AE dataset was randomly divided into training and internal validation sets in a 9:1 ratio, which was used to develop and internally validated model. We built a MOBILE-SCREEN-AF (MS-AF) dataset from a single-lead wearable ECG device in primary care for external validation. Performance was quantified using a confusion matrix and standard classification metrics. RESULTS: During the evaluation of model performance based on the LS, the sensitivity, specificity and accuracy of the model in diagnosing AF were 0.992, 0.973, and 0.983 in the internal validation set respectively. In the external validation set, these metrics were 0.989, 0.956, and 0.967, respectively. Furthermore, when evaluating the model's performance based on ECG records in the MS-AF dataset, the sensitivity, specificity and accuracy of model diagnosis paroxysmal AF were 1.000, 0.870 and 0.876 respectively, and 0.927, 1.000 and 0.973 for the persistent AF. CONCLUSIONS: The model based on the nonlinear LS and deep learning has high accuracy, making it promising for AF screening in primary care. It has potential for generalization and practical application.