Breathing exercises for patients with early-stage lung cancer: a meta-analysis.

BACKGROUND: Postoperative pneumonia is a common but serious complication in patients with lung cancer. This meta-analysis aims to evaluate the effect of respiratory exercise on reducing postoperative pneumonia in patients with lung cancer and to provide a reliable basis for clinical treatment and nursing of patients with lung cancer. METHODS: Two reviewers searched PubMed, Embase, Web of Science, Cochrane Library, China Knowledge Network, Wanfang, and Weipu databases. We searched for the randomized controlled trials (RCTs) published in Chinese or English on the breathing exercises in patients with lung cancer up to January 30, 2024. The quality of the literature was evaluated with the Cochrane Risk of Bias Tool 2 (ROB 2). RevMan 5.3 software was used for meta-analysis. RESULTS: Eleven RCTs with 1429 patients with lung cancer were included, and 710 patients received breathing exercises. The meta-analysis results showed that breathing exercises could significantly reduce the incidence of postoperative pneumonia [RR = 0.35, 95%CI (0.25, 0.51)], improve the FEV1 [MD = - 0.49, 95%CI (- 0.73, - 0.24)], FVC [MD = - 0.59, 95%CI (- 0.83, - 0.35)] in patients with lung cancer (all P < 0.05). There were significant differences in the incidence of pneumonia for patients undergoing breathing exercises with single exercise time ≥ 15 min (RR = 0.37, 95%CI 0.24 ~ 0.62), breathing exercises for 1 week (RR = 0.29, 95%CI 0.16 ~ 0.55) or for 2 weeks (RR = 0.48, 95%CI 0.28 ~ 0.85) and breathing exercises > 4 times (RR = 0.36, 95%CI 0.23 ~ 0.57) per day (all P < 0.05). CONCLUSION: Breathing exercises have shown the capacity to augment pulmonary function in patients with lung cancer, concurrently mitigating the risk of postoperative pneumonia.

Fabrication of sulfur-based functionalized activated carbon as solid phase extraction adsorbent for selective analysis of selenite in water.

Based on the important feature of sulfur with excellent selectivity toward selenite in the presence of selenate, a simple and low-cost adsorbent of solid phase extraction known as sulfur loading activated carbon (SAC-6) was successfully prepared and applied for selenite (Se(IV)) analysis in water. Microstructure and morphological characteristics of SAC-6 had been identified by XRD, TEM, BET and FT-IR. In the static adsorption experiments, Se(IV) could be separated in a wide range of pH values (pH=3-11). The retention process of Se(IV) onto SAC-6 was characterized as spontaneous exothermic reaction. An obvious change of adsorption mechanism occurred in static and dynamic adsorption processes shown that the behaviors followed monolayer and hybrid adsorption. The theoretical maximum adsorption capacity of SAC-6 calculated by Langmuir-Freundlich was 13.48 mg/g. The microcolumn filled with SAC-6 was applied to extract Se(IV) in water solution. The detection limit of Se(IV) analytical procedure was confirmed as 0.27 µg/L within a linear range of 10-1000 µg/L. A good precision with relative standard deviation of 1.34 % (100 µg/L, n = 6) was achieved. The high adaptability and accuracy of SAC-6 microcolumn was validated by analyzing natural water samples and certified reference materials. Our work successfully excavated the application value of the sulfur selectivity, and also provided a new adsorbent for Se(IV) extraction and analysis.

Expression of goat poxvirus P32 protein and monoclonal antibody preparation.

P32 protein serves as a crucial structural component of Goat pox virus (GTPV), which causes a highly virulent infectious disease in sheep and goats. Despite the fact that P32 has been widely expressed in the previous studies, it is difficult to obtain recombinant P32 efficiently. This study aimed to achieve soluble expression of P32 recombinant protein and to develop its specific monoclonal antibody. The gene fragment of P32Δ (GP32Δ) was synthesized by optimizing the coding sequence of amino acids 1-246 of the known goatpox P32 protein. Subsequently, GP32Δ was cloned into a prokaryotic expression vector for expression and purification, resulting in the successful production of soluble recombinant protein rP32Δ. Utilizing rP32Δ, an indirect ELISA method was established by immunizing 6-week-old BALB/c mice with inactivated GTPV as the antigen. Through hybridoma technology, three monoclonal antibody hybridoma cell lines secreting anti-goat pox virus rP32Δ were screened, designated as 2F3, 3E8, and 4H5, respectively. These monoclonal antibodies, classified as IgG1, IgG2a, and IgG2b, respectively, with κappa light chains, were characterized following ascites preparation and purification. Indirect ELISA results demonstrated that the ELISA potency of the three monoclonal antibodies exceeded 1:12800. Furthermore, Western blot analysis revealed specific reactivity of both 3E8 and 4H5 with rP32Δ, while immunofluorescence assays confirmed 3E8's ability to specifically recognize GTPV in cells. The preceding findings demonstrate the successful acquisition of the soluble expressed recombinant P32 protein and its specific monoclonal antibody 3E8 in this study, thereby laying a foundational material basis for the establishment of a GTPV detection method.

Investigating the uncertain causal link between gut microbiota and glaucoma: A genetic correlation and Mendelian randomisation study.

BACKGROUND: Glaucoma is the most common cause of irreversible blindness, and gut microbiota (GM) is associated with glaucoma. Whether this association represents a causal role remains unknown. This study aims to assess the potential association and causal link between GM and various forms of glaucoma, emphasising the need for cautious interpretation of the strength of these associations. METHODS: Employing a two-sample bidirectional Mendelian randomisation (MR) framework with false discovery rate correction and various sensitivity analyses, supplemented by genetic correlation analysis via linkage disequilibrium score regression (LDSC) and colocalisation for European summary-level data between MiBioGen consortium and FinnGen Study, we sought to explore the relationship between GM and glaucoma. RESULTS: While certain microbial taxa showed potential associations with glaucoma subtypes (e.g., Erysipelotrichaceae with primary angle closure glaucoma, Senegalimassilia with exfoliation glaucoma), the overall findings suggest a complex and not definitively causal relationship between GM and glaucoma. Notably, reverse MR analysis did not establish a significant causal effect of glaucoma on GM composition, and no consistent genetic correlations were observed between GM and glaucoma. CONCLUSIONS: While our study provides some evidence of associations between specific GM taxa and glaucoma, the results underscore the complexity of these relationships and the need for further research to clarify the potential causal links. The findings highlight the importance of interpreting the gut-eye axis with caution and suggest that while GM may play a role in glaucoma, it is unlikely to be a predominant causal factor.

Three new cyclopentanoid monoterpenes from the roots of Picrorhiza scrophulariiflora.

Three new cyclopentanoid monoterpenes, neopiscrocins A-C (1-3), together with 14 known compounds (4-17), were isolated from the roots of Picrorhiza scrophulariiflora. The structres of these compounds were elucidated on the basis of their spectroscopic data. All compounds were evaluated for cytotoxicity against six human tumor cell lines (PC9, PANC1, HCT-116, Hep-G2, BGC-823, and MCF-7), hepatoprotective activity and anti-inflammatory activity.

Three new flavonoid glycosides from the herbaceous stems of Ephedra intermedia.

Phytochemical investigation of the n-butanol extracts of the herbaceous stems of Epheda intermedia led to the isolation of eight flavonoids that included three new flavonoid glycosides (1-3) and five previously reported analogues (4-8). Their structures have been identified on the basis of various spectral data. Besides, all the flavonoids were tested in vitro for their ability to inhibit α-glucosidase under the positive control of acarbose, and the results indicated that none of them exhibited significant inhibitory effect on α-glucosidase at 100 µM.

Effects of phytosterol ester supplementation on egg weight, biochemical indices, liver immunity and gut microbiota of laying hens during peak laying period.

This experiment was aimed to investigate the effects of Phytosterol Ester (PSE) supplementation on egg weight, biochemical indices, liver immunity and gut microbiota of Hy-Line Brown laying hens during peak laying period. A total of 256 healthy Hy-Line Brown laying hens were randomly allocated into 4 groups. Laying hens in the control group were fed a basal diet (CON), while those in the experimental groups received a basal diet containing 10 mg/kg (PSE10), 20 mg/kg (PSE20), or 40 mg/kg (PSE40) mg/kg PSE, respectively. We found that PSE supplementation significantly increased the egg weight in PSE20 and PSE40 groups (P < 0.05) and the serum magnesium (Mg) content in PSE10 and PSE20 groups (P < 0.05), but significantly decreased the serum calcium (Ca) content in PSE40 group (P < 0.05). Moreover, PSE supplementation significantly increased the total protein (TP) content of ovary in all experimental groups (P < 0.01) and decreased the total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) contents of the ovary in PSE20 and PSE40 groups (P < 0.001). In serum, PSE supplementation significantly increased TP content in all experimental groups (P < 0.01) and albumin (ALB) content in PSE20 group (P < 0.05). Alkaline phosphatase (AKP) in PSE20 group, TC content in all experimental groups and LDL-C content in PSE20 and PSE40 groups were significantly decreased (P < 0.05). In egg yolk, PSE supplementation significantly increased TP content in PSE20 and PSE40 groups (P < 0.01) and decreased TC content in PSE20 group (P < 0.01). In liver immunofluorescence, PSE supplementation altered the content of CD163, especially in PSE20 group. Dietary PSE significantly decreased the relative abundance of Bacteroides and Desulfovibrio, while increased the relative abundance of Faecalibacterium, g_unclassified_f_Lachnospiraceae, g_norank_f_Ruminococcaceae, g__unclassified_f__Oscillospiraceae and other bacteria. In conclusion, PSE supplementation increased the average egg weight and total protein, lowered egg yolk, serum and ovary cholesterol of Hy-Line Brown laying hens. At the same time, it can also promote serum magnesium levels, enhanced liver immunity, and improved gut microflora.

[Mechanism of Panax notoginseng saponins in treating diabetic kidney disease based on network pharmacology and experimental verification].

This study aims to investigate the therapeutic effect and mechanism of Panax notoginseng saponins(PNS) on diabetic kidney disease(DKD) based on network pharmacology, molecular docking, animal experiments. Network pharmacology was employed to screen the potential targets, and STRING was employed to build the protein-protein interaction network. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were carried out for the core targets screened out, and a ″components-targets-pathways″ visualization network was constructed to predict the potential mechanism of PNS in treating DKD. Five active ingredients were screened from PNS, the core targets of which for treating DKD were AKT1, STAT3, ESR1, HSP90AA1, MTOR, et al. The KEGG enrichment analysis showed that the pathways related to PNS for treating DKD included the pathway in cancer, chemical carcinogenesis-receptor activation, and PI3K-AKT signaling pathway. GO analysis revealed that protein binding, homologous protein binding, enzyme binding, and ATP binding were the main biological processes involved in the treatment of DKD with PNS. Male 6-week-old db/db mice were randomized into model, dapagliflozin, and low-dose and high-dose PNS groups, with 10 mice in each group. Ten 6-week-old db/m mice were used as the control group. Mice were administrated with corresponding drugs or distilled water(control and model groups) by gavage once a day for 8 weeks. The body weight, fasting blood glucose, kidney index, microalbuminuria, creatinine, microalbuminuria/creatinine ratio, and urea nitrogen content in the urine of mice were determined. Hematoxylin-eosin(HE) staining, periodic acid-Schiff(PAS) staining, and Masson staining were performed to observe the protective effect of PNS on the renal tissues in db/db mice. The results showed that PNS could significantly reduce the fasting blood glucose level and improve the renal damage in db/db mice. Western blot results showed that PNS down-regulated the protein levels of p-AKT1 and p-STAT3 and decreased the p-AKT1/AKT1 and p-STAT3/STAT3 ratios. In addition, high-dose PNS down-regulated the protein level of PIK3CA. In conclusion, PNS may exert the kidney-protecting effects in DKD by inhibiting STAT3 via the PI3K-AKT signaling pathway.

Ambulatory ECG noise reduction algorithm for conditional diffusion model based on multi-kernel convolutional transformer.

Ambulatory electrocardiogram (ECG) testing plays a crucial role in the early detection, diagnosis, treatment evaluation, and prevention of cardiovascular diseases. Clear ECG signals are essential for the subsequent analysis of these conditions. However, ECG signals obtained during exercise are susceptible to various noise interferences, including electrode motion artifact, baseline wander, and muscle artifact. These interferences can blur the characteristic ECG waveforms, potentially leading to misjudgment by physicians. To suppress noise in ECG signals more effectively, this paper proposes a novel deep learning-based noise reduction method. This method enhances the diffusion model network by introducing conditional noise, designing a multi-kernel convolutional transformer network structure based on noise prediction, and integrating the diffusion model inverse process to achieve noise reduction. Experiments were conducted on the QT database and MIT-BIH Noise Stress Test Database and compared with the algorithms in other papers to verify the effectiveness of the present method. The results indicate that the proposed method achieves optimal noise reduction performance across both statistical and distance-based evaluation metrics as well as waveform visualization, surpassing eight other state-of-the-art methods. The network proposed in this paper demonstrates stable performance in addressing electrode motion artifact, baseline wander, muscle artifact, and the mixed complex noise of these three types, and it is anticipated to be applied in future noise reduction analysis of clinical dynamic ECG signals.

First Report of Rhizoctonia solani AG1-IB Causing Tobacco Target Spot in China.

Tobacco target spot, caused by Rhizoctonia solani Kühn, induces shot-hole lesions on leaves that that significantly reduce yield and quality of tobacco. In July 2022, samples (n=5) with target spot were collected from three tobacco fields, one each in Puer (22.63°N, 100.72°E, cv. Yunyan87) and Mengzi (23.26°N, 103.36°E, cv. Yunyan87) of Yunnan province and one in Dandong (40.63°N, 124.18°E, cv. Liaoyan17) of Liaoning province, China; disease incidence in these fields was approximately 30%~40%. Initial symptoms (2- to 3-mm-diameter lesions) appeared on the middle to lower leaves, then expanded to 2 to 3 cm in diameter and developed the shot-hole appearance. Pieces of tissue (5×5 mm) were cut from the edge of lesions, surface sterilized, rinsed in sterile water, then placed on the surface of water agar (WA) and incubated at 25℃ for 2 days in the dark. Single hyphal tips were taken from fungal isolates identified as R. solani based on the morphological traits (Tsror 2010), then transferred onto potato dextrose agar (PDA) and cultured for 3 d as described above. A total of 15 pure cultures were obtained. With the exception of YN-3 (isolated from Puer), YN-62 (isolated from Mengzi) and LN-95(isolated from Dandong) strains, which exhibited hyphal fusion reaction with AG1-IB standard strain, all the other strains demonstrated hyphal fusion with AG-3 standard strain (Ogoshi 1987). Genomic DNA of these three strains were extracted by the CTAB method and ITS regions of rDNA were sequenced (White et al. 1990). The sequences were deposited in GenBank with accession No. OR770079, OR770080 and OR770082. All the three rDNA-ITS sequences exhibited 99.85% similar to AG1-IB found in GenBank, and a phylogenetic tree using a neighbor-joining method grouped the three strains within the R. solani AG-1 IB clade. Therefore, based on the hyphal fusion reaction and molecular methods, these isolates were identified as R. solani AG1-IB. To determine pathogenicity of the isolates, the healthy leaves of tobacco plants (cv. Yunyan 87) were used. Five-mm-diameter mycelial plugs of the strain on PDA were inoculated on leaves that had been previously wounded with a sterile needle, and cotton balls moistened with sterile water were used for moisturizing the inoculation sites. Ten leaves were inoculated for each strain and leaves inoculated with PDA plugs were as control. The experiment was conducted twice. All plants were incubated for 2 d at 15℃ to 25℃ and 90% relative humidity with a 12 h photoperiod/day. Irregularly shaped lesions appeared on the leaves around each of the inoculated sites, but not on control leaves. The pathogens were reisolated and confirmed be R. solani AG1-IB by hyphal fusion and molecular identification tests as previously described, thereby fulfilling Koch's postulates. It has been reported that AG-3, AG-2 (Mercado Cardenas et al. 2012), AG-5 (Wang et al. 2023) and AG-6 (Sun et al. 2022) of R. solani could cause tobacco target spot, but AG-3 is considered the main causal agent (Marleny Gonzalez et al. 2011). To our knowledge, this is the first report of AG1-IB causing tobacco target spot in China and worldwide. The AG1-IB strain has a wide host range including cabbage, mint, lettuce, beans, and rice (Gonzalez et al. 2006). The discovery poses a new challenge for the prevention and control of tobacco target spot, especially when contemplating disease management strategies such as crop rotation and fungicide treatments.

Supervised machine learning for understanding and predicting the status of bistable eukaryotic plankton community in urbanized rivers.

Understanding and predicting the ecological status of urbanized rivers is crucial for their restoration and management. However, the complex and nonlinear nature of ecological responses poses a challenge to the development of predictive models. Here, the study investigated and predicted the status of eukaryotic plankton communities in urbanized rivers by coupling environmental DNA metabarcoding, the alternative stable states theory, and supervised machine learning (SML) models. The results revealed two distinct states of eukaryotic plankton communities under similar environmental conditions: one state was characterized by the enrichment of a diverse phytoplankton population and the high relative abundance of protozoa, whereas the alternative state was characterized by abundant phytoplankton and fungi with an associated risk of algal blooms. Turbidity was identified as a key driver based on the SML model and Mantel test. Potential analysis demonstrated that the response pattern of eukaryotic plankton communities to turbidity was thresholds with hysteresis (Threshold1 = 17 NTU, Threshold2 = 24 NTU). A reduction in turbidity induced a regime shift in the eukaryotic plankton community toward an alternative state associated with a risk of algal blooms. In the prediction of ecological status, both SML models showed excellent performance (R2 > 0.80, RMSE < 0.1, Kappa > 0.70). Additionally, SHapley Additive exPlanations analysis identified turbidity, chlorophyll-a, chemical oxygen demand (COD), ammonia nitrogen and green algae's amplicon sequence variants as crucial features for prediction, with turbidity and COD showing a synergistic effect on ecological status. A framework was further proposed to enhance the understanding and prediction of ecological status in urbanized rivers. The obtained results of this study demonstrated the feasibility of using SML models to predict and explain the ecological status of urbanized rivers with alternative stable states. This provides valuable insights for the application of SML models in the restoration and management of urbanized rivers.

Ionic liquid-assisted synthesis of In2O3 nanoparticles for ppb-level NO2 sensing at low temperature.

Highly sensitive detection of nitric dioxide (NO2) has recently attracted much attention due to its harmful to the human health even at a low concentration of 0.1 parts per million (ppm). Herein, In2O3 nanoparticles (NPs) were prepared via a facile ionic liquid (IL) assisted solvothermal method with subsequent calcination and then were analyzed through the characterization of X-ray diffractometer (XRD), scanning electron microscope (SEM), transmission electron microscope (TEM), X-ray photoelectron spectroscopy (XPS) and nitrogen adsorption-desorption techniques. Morphological characterization demonstrated that the resultant compounds were In2O3 NPs with a diameter ranging from 20 to 30 nm. The gas sensor based on the In2O3 NPs prepared with IL exhibited excellent NO2-sensing properties in terms of fast response/recovery speed (26.6/10.0 s), high response (310.0), good repeatability and long-term stability to 10 ppm NO2 gas at low working temperature of 92 °C. The gas-sensing mechanism of In2O3 NPs to NO2 was represented to the surface adsorption control model and the possibilities relating to the improved NO2 sensing performance of the In2O3 NPs synthesized with IL-assisted were also discussed in detail.

Identification of HDAC10 as a candidate oncogene in clear cell renal carcinoma that facilitates tumor proliferation and metastasis.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) remains one of the most lethal urological malignancies even though a great number of improvements in diagnosis and management have achieved over the past few decades. Accumulated evidence revealed that histone deacetylases (HDACs) play vital role in cell proliferation, differentiation and apoptosis. Nevertheless, the biological functions of histone deacetylation modification related genes in ccRCC remains poorly understood. METHOD: Bulk transcriptomic data and clinical information of ccRCC patients were obtained from the TCGA database and collected from the Chinese PLA General Hospital. A total of 36 histone deacetylation genes were selected and studied in our research. Univariate cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression, random forest (RF) analysis, and protein-protein interaction (PPI) network analysis were applied to identify key genes affecting the prognosis of ccRCC. The 'oncoPredict' algorithm was utilized for drug-sensitive analysis. Gene Set Enrichment Analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used to explore the potential biological function. The ssGSEA algorithm was used for tumor immune microenvironment analysis. The expression levels of HDAC10 were validated by RT-PCR and immunohistochemistry (IHC). 5-ethynyl-2'-deoxyuridine (EdU assay), CCK-8 assay, cell transwell migration and invasion assay and colony formation assay were performed to detect the proliferation and invasion ability of ccRCC cells. A nomogram incorporating HDAC10 and clinicopathological characteristics was established to predict the prognosis of ccRCC patients. RESULT: Two machine learning algorithms and PPI analysis identified four histone deacetylation genes that have a significant association with the prognosis of ccRCC, with HDAC10 being the key gene among them. HDAC10 is highly expressed in ccRCC and its high expression is associated with poor prognosis for ccRCC patients. Pathway enrichment and the experiments of EdU staining, CCK-8 assay, cell transwell migration and invasion assay and colony formation assay demonstrated that HDAC10 mediated the proliferation and metastasis of ccRCC cells and involved in reshaping the tumor microenvironment (TME) of ccRCC. A clinically reliable prognostic predictive model was established by incorporating HDAC10 and other clinicopathological characteristics ( https://nomogramhdac10.shinyapps.io/HDAC10_Nomogram/ ). CONCLUSION: Our study found the increased expression of HDAC10 was closely associated with poor prognosis of ccRCC patients. HDAC10 showed a pro-tumorigenic effect on ccRCC and promote the proliferation and metastasis of ccRCC, which may provide new light on targeted therapy for ccRCC.

Surgical resection and reconstruction techniques for jugular foramen schwannoma.

INTRODUCTION: Jugular foramen schwannomas present formidable challenges due to their deep-seated location and complex anatomical constraints, leading to significant difficulties in tumor excision, postoperative complications further hinder surgical interventions in this area. We aim to explore and summarize surgical and reconstruction techniques for jugular foramen schwannomas to enhance patient outcomes. MATERIALS AND METHODS: In a retrospective analysis, we reviewed the surgical approaches and reconstruction techniques utilized in 31 patients undergoing surgical resection for jugular foramen schwannomas from January 2018 to the present. Our goal was to summarize the materials and methods used for skull base reconstruction in this region and propose a clinically applicable procedural framework for surgical intervention. RESULTS: Results revealed that 28 patients underwent treatment via the far lateral paracondylar approach, while 3 patients opted for the suboccipital retrosigmoid approach. Among them, 15 patients underwent surgical cavity tamponade. Additionally, we summarized three methods of dural reconstruction in the surgical area. Postoperative temporary complications showed varying degrees of improvement during follow-up, leading to an overall favorable prognosis. CONCLUSION: Our study presents clinical insights into the surgical resection and skull base reconstruction of jugular foramen schwannomas. We discuss the selection of surgical approaches, intraoperative landmarks, and reconstruction techniques aimed at improving patient outcomes effectively.

miR-124 mediates the effects of gut microbial dysbiosis on brain function in chronic stressed mice.

The gut microbiota plays a key role in the brain function impairment caused by chronic stress, yet its exact mechanism remains unclear. Many studies have revealed the important role of miR-124 in the central nervous system. Meanwhile, previous studies have indicated that miR-124 may be regulated by chronic stress and gut microbiota. Here, we aimed to explore whether miR-124 serves as a mediator for the impacts of gut microbial dysbiosis on brain function in mice subjected to chronic stress. Repeated daily restraint stress for 4 weeks was used to induce chronic stress in mice. Chronic stress resulted in gut microbial dysbiosis, abnormal behaviors, and a decrease in hippocampal miR-124 levels. Treatment with different probiotic mixtures significantly alleviated the effects of chronic stress on hippocampal miR-124 levels and mouse behaviors. Suppression of hippocampal miR-124 expression reversed the beneficial effects of probiotics on cognitive function, neurogenesis, and related molecular markers in chronically stressed mice. Bioinformatics analysis and qPCR suggested that Ptpn11 might be a target gene for miR-124 in mediating the effects of gut microbial dysbiosis on brain function in these mice. These findings suggest that miR-124 is a pivotal regulator that mediates the detrimental effects of gut microbial dysbiosis on brain function and the subsequent cognitive impairment during chronic stress.

Machine Learning-Driven discovery of immunogenic cell Death-Related biomarkers and molecular classification for diabetic ulcers.

In this study, we redefine the diagnostic landscape of diabetic ulcers (DUs), a major diabetes complication. Our research uncovers new biomarkers linked to immunogenic cell death (ICD) in DUs by utilizing RNA-sequencing data of Gene Expression Omnibus (GEO) analysis combined with a comprehensive database interrogation. Employing a random forest algorithm, we have developed a diagnostic model that demonstrates improved accuracy in distinguishing DUs from normal tissue, with satisfactory results from ROC analysis. Beyond mere diagnosis, our model categorizes DUs into novel molecular classifications, which may enhance our comprehension of their underlying pathophysiology. This study bridges the gap between molecular insights and clinical practice. It sets the stage for transformative strategies in DUs management, marking a significant step forward in personalized medicine for diabetic patients.

Experimental investigations on characterizing the uniaxial mechanical property variations along the thickness of hydrogenation reactor welded joints by spherical indentation tests.

To meet the demands for non-destructive testing of uniaxial mechanical properties of welded joints of thick-wall hydrogenation reactors, this study provides an experimental investigation on whether the spherical indentation tests (SITs) can accurately characterize the uniaxial mechanical property variations along the thickness of welded joints. The phenomenologically summarized empirical method (i.e., the Kwon method) and the semi-analytical method (i.e., the simplified-IIEM) were selected as representatives, and their reliability was judged from the viewpoints of stress-strain prediction, the inversion accuracy and repeatability of strength, and the ability to characterize the variation of uniaxial mechanical properties along the thickness of welded joints. Characteristics of the inverse predictions were analyzed, and the source of errors in each method were extensively investigated. This study provides a theoretical and technical guidance for the engineering application and promotion of SITs.

Clinical and neuroimaging features in neurological Wilson's disease with claustrum lesions.

According to early research, the incidence of claustrum lesions in patients with neurological Wilson's disease (WD) was inconsistent, ranging from 1.8 to 75% on magnetic resonance imaging (MRI). Our study aims to explore the incidence, clinical presentation features, iconography features, and possible pathological mechanisms in WD patients with claustrum lesions on magnetic resonance imaging (MRI), to characterize the clinical, and brain imaging findings and possible pathological mechanisms in the patients with WD. Retrospective cases meeting the inclusion criteria were studied for analyzing MRI characteristics and associated physicochemical examination data in neurological WD patients with claustrum lesions. 443 (66.3%) with brain MRI abnormalities were screened from 668 WD patients. The three (0.7%) patients with the claustrum lesions characteristics on MRI images were: (a) "bright claustrum" in T2-weighted and FLAIR sequences, (b) bilateral symmetrical, (c) non-isolated lesions, (d) occurred only in severe neurological manifestations. The claustrum lesions are not common in neurological WD and mainly appear in cases with severe neurological symptoms. On MRI, the "bright claustrum" signs may be a radiographic marker of neuroinflammation, the features of the lesions showed bilateral symmetry, and hyperintensity signals on T2-weighted, FLAIR, and DWI.

Validating the splicing effect of rare variants in the SLC26A4 gene using minigene assay.

BACKGROUND: The SLC26A4 gene is the second most common cause of hereditary hearing loss in human. The aim of this study was to utilize the minigene assay in order to identify pathogenic variants of SLC26A4 associated with enlarged vestibular aqueduct (EVA) and hearing loss (HL) in two patients. METHODS: The patients were subjected to multiplex PCR amplification and next-generation sequencing of common deafness genes (including GJB2, SLC26A4, and MT-RNR1), then bioinformatics analysis was performed on the sequencing data to identify candidate pathogenic variants. Minigene experiments were conducted to determine the potential impact of the variants on splicing. RESULTS: Genetic testing revealed that the first patient carried compound heterozygous variants c.[1149 + 1G > A]; [919-2 A > G] in the SLC26A4 gene, while the second patient carried compound heterozygous variants c.[2089 + 3 A > T]; [919-2 A > G] in the same gene. Minigene experiments demonstrated that both c.1149 + 1G > A and c.2089 + 3 A > T affected mRNA splicing. According to the ACMG guidelines and the recommendations of the ClinGen Hearing Loss Expert Panel for ACMG variant interpretation, these variants were classified as "likely pathogenic". CONCLUSIONS: This study identified the molecular etiology of hearing loss in two patients with EVA and elucidated the impact of rare variants on splicing, thus contributing to the mutational spectrum of pathogenic variants in the SLC26A4 gene.