Seasonal variations and sensory profiles of oolong tea: Insights from metabolic analysis of Tieguanyin cultivar.

The impact of seasonal variations on the quality of oolong tea products remains a subject of ongoing exploration. This study delves into the intricate relationships between seasonality, metabolites, and sensory characteristics in finished oolong tea products. Metabolomic data from 266 Tieguanyin oolong tea products harvested in both spring and autumn, along with corresponding sensory evaluations, were acquired. Using OPLS-DA and PLS-DA models with UPLC-QToF/MS data, our findings showed that seasonal effects were notably more pronounced in light-scented Tieguanyin products (lightly-roasted) compared to strong-scented products (moderately-roasted). Furthermore, over half of the identified key seasonal discriminant metabolites happened to be crucial for determining the sensory grade. The study marks the first-time recognition of triterpene saponins as critical factors in determining both the harvest season and the sensory grade of oolong tea. These insights deepen our understanding of the interplays between seasonal variations, metabolites, and sensory attributes in oolong tea products.

T cell interactions with microglia in immune-inflammatory processes of ischemic stroke.

The primary mechanism of secondary injury after cerebral ischemia may be the brain inflammation that emerges after an ischemic stroke, which promotes neuronal death and inhibits nerve tissue regeneration. As the first immune cells to be activated after an ischemic stroke, microglia play an important immunomodulatory role in the progression of the condition. After an ischemic stroke, peripheral blood immune cells (mainly T cells) are recruited to the central nervous system by chemokines secreted by immune cells in the brain, where they interact with central nervous system cells (mainly microglia) to trigger a secondary neuroimmune response. This review summarizes the interactions between T cells and microglia in the immune-inflammatory processes of ischemic stroke. We found that, during ischemic stroke, T cells and microglia demonstrate a more pronounced synergistic effect. Th1, Th17, and M1 microglia can co-secrete pro-inflammatory factors, such as interferon-γ, tumor necrosis factor-α, and interleukin-1ß, to promote neuroinflammation and exacerbate brain injury. Th2, Treg, and M2 microglia jointly secrete anti-inflammatory factors, such as interleukin-4, interleukin-10, and transforming growth factor-ß, to inhibit the progression of neuroinflammation, as well as growth factors such as brain-derived neurotrophic factor to promote nerve regeneration and repair brain injury. Immune interactions between microglia and T cells influence the direction of the subsequent neuroinflammation, which in turn determines the prognosis of ischemic stroke patients. Clinical trials have been conducted on the ways to modulate the interactions between T cells and microglia toward anti-inflammatory communication using the immunosuppressant fingolimod or overdosing with Treg cells to promote neural tissue repair and reduce the damage caused by ischemic stroke. However, such studies have been relatively infrequent, and clinical experience is still insufficient. In summary, in ischemic stroke, T cell subsets and activated microglia act synergistically to regulate inflammatory progression, mainly by secreting inflammatory factors. In the future, a key research direction for ischemic stroke treatment could be rooted in the enhancement of anti-inflammatory factor secretion by promoting the generation of Th2 and Treg cells, along with the activation of M2-type microglia. These approaches may alleviate neuroinflammation and facilitate the repair of neural tissues.

Branched hybridization chain reaction and tetrahedral DNA-based trivalent aptamer powered SERS sensor for ultra-highly sensitive detection of cancer-derived exosomes.

Exosomes have emerged as a promising noninvasive biomarker for early cancer diagnosis due to their ability to carry specific bioinformation related to cancer cells. However, accurate detection of trace amount of cancer-derived exosomes in complex blood remains a significant challenge. Herein, an ultra-highly sensitive SERS sensor, powered by the branched hybridization chain reaction (bHCR) and tetrahedral DNA-based trivalent aptamer (triApt-TDN), has been proposed for precise detection of cancer-derived exosomes. Taking gastric cancer SGC-7901 cells-derived exosomes as a test model, the triApt-TDNs were constructed by conjugating aptamers specific to mucin 1 (MUC1) protein with tetrahedral DNAs and subsequently immobilized on the surface of silver nanorods (AgNRs) arrays to create SERS-active sensing chips capable of specifically capturing exosomes overexpressing MUC1 proteins. The bHCR was further initiated by the trigger aptamers (tgApts) bound to exosomes, and as a result the SERS tags were assembled into AuNP network structures with abundant SERS hotspots. By optimizing the sensing conditions, the SERS sensor showed good performance in ultra-highly sensitive detection of target exosomes within 60 min detection time, with a broad response ranging of 1.44 to 1.44 × 104 particles·µL-1 and an ultralow limit of detection capable of detecting a single exosome in 2 µL sample. Furthermore, the SERS sensor exhibited good uniformity, repeatability and specificity, and capability to distinguish between gastric cancer (GC) patients and healthy controls (HC) through the detection of exosomes in clinical human serums, indicating its promising clinical potential for early diagnosis of gastric cancer.

Provincial-level analysis of electrification feasibility and climate policy interactions.

Improving electrification feasibility is essential for reducing emissions from non-electric energy sources, thereby enhancing air quality and public health. Concurrently, climate mitigation actions, such as carbon pricing policies, have significant potential to alleviate increasing carbon dioxide (CO2) and other co-emitted air pollutants. However, the interactions between climate policy and the improvement of electrification feasibility at the provincial level remain unclear, collectively impacting the net-zero transition of energy-intensive sectors. Here we combine a technologically rich economic-energy-environment model with air quality modeling across China to examine the health, climate, and economic implications of large-scale upgrades in electrification feasibility and climate policies from 2017 to 2030. The results indicate that advancing electrification feasibility, coupled with adopting carbon pricing policies, is likely to facilitate a transition towards electricity-dominant energy systems. Improved electrification feasibility is projected to yield a 7-25% increase in nationwide climate benefits and a 5-14% increase in health benefits by 2030. These incremental benefits, coupled with reduced economic costs, result in a 22-68% increase in net benefits. However, regionally, improvements in electrification feasibility will lead to heightened power demand and unintended emissions from electric energy production in certain provinces (e.g., Nei Mongol) due to the coal-dominated power system. Additionally, in major coal-producing provinces like Shanxi and Shaanxi, enhanced electrification feasibility exacerbates the negative economic impacts of climate policies. This study provides quantitative insights into how improving electrification feasibility reshapes energy evolution and the benefit-cost profile of climate policy at the provincial level. The findings underscore the necessity of a well-designed compensation scheme between affected and unaffected provinces and coordinated emission mitigation across the power and other end-use sectors.

Protocol for optimized nasal mucosa sample processing to obtain high-quality scRNA-seq and scATAC-seq data.

Examining nasal mucosa samples is crucial for nasal cavity disease research and diagnosis. Simultaneously obtaining high-quality data for single-cell transcriptomics (single-cell RNA sequencing [scRNA-seq]) and epigenomics (single-cell assay for transposase-accessible chromatin using sequencing [scATAC-seq]) of nasal mucosa tissues is challenging. Here, we present a protocol for processing human nasal mucosa samples to obtain data for both scRNA-seq and scATAC-seq. We describe steps for extracting human nasal mucosa tissue, mechanical and enzymatic dissociation, lysis of red blood cells, and a viability assay. We then detail procedures for library preparation and quality control.

Real world experience in effect of torsemide vs. furosemide after discharge in patients with HFpEF.

AIMS: Few studies have focused on the effect of torsemide versus furosemide after discharge on prognosis in patients with heart failure with preserved ejection fraction (HFpEF). This single-centre retrospective real-world study was conducted to evaluate the effect of torsemide versus furosemide after discharge on all-cause mortality and rehospitalization for heart failure in patients with HFpEF. METHODS: Consecutive patients who were diagnosis with HFpEF after discharge between January 2015 and April 2018 at the First Affiliated Hospital of Dalian Medical University and who had been treated with torsemide or furosemide were included in this study. The primary outcome was all-cause mortality. The second outcome was rehospitalization for heart failure. RESULTS: A total of 445 patients (mean age 68.56 ± 8.07, female 55%) were divided into the torsemide group (N = 258) or furosemide group (N = 187) based on the treatment course at discharge from the hospital. During a mean follow-up of 87.67 ± 11.15 months, death occurred in 68 of 258 patients (26.36%) in the torsemide group and 60 of 187 patients (30.09%) in the furosemide group [hazard ratio (HR) 0.81, 95% confidence interval (CI) 0.57-1.15, P = 0.239]. Rehospitalization for heart failure occurred in 111 of 258 patients (43.02%) in the torsemide groups and 110 of 187 patients (58.82%) in the furosemide group (HR 0.64, 95% CI 0.49-0.85, P = 0.002). CONCLUSIONS: Compared with furosemide, torsemide did not significantly reduce all-cause mortality, but there was association between torsemide and reduced rehospitalization for heart failure in patients with HFpEF.

A highly efficient soybean transformation system using GRF3-GIF1 chimeric protein.

Expression of GRF3-GIF1 chimera significantly enhanced regeneration and transformation efficiency in soybean, increasing the number of transformable cultivars. Moreover, GmGRF3-GIF1 can be combined with CRISPR/Cas9 for highly effective gene editing.

Preparation of Difluoromethylated Benzothiophene by Visible-Light-Mediated Alkyne Difunctionalization Reaction.

An efficient method for the preparation of difluoromethylated benzothiophenes via visible-light-mediated alkyne difunctionalization was developed. In this method, inexpensive sodium difluoromethanesulfinate (HCF2SO2Na) was used as the fluorine source, and a variety of benzothiophene derivatives were obtained in moderate to excellent yield under mild reaction conditions. Moreover, the reaction operation is simple and easy to scale up.

GmBSK1-GmGSK1-GmBES1.5 regulatory module controls heat tolerance in soybean.

INTRODUCTION: Heat stress poses a severe threat to the growth and production of soybean (Glycine max). Brassinosteroids (BRs) actively participate in plant responses to abiotic stresses, however, the role of BR signaling pathway genes in response to heat stress in soybean remains poorly understood. OBJECTIVES: In this study, we investigate the regulatory mechanisms of GmBSK1 and GmBES1.5 in response to heat stress and the physiological characteristics and yield performance under heat stress conditions. METHODS: Transgenic technology and CRISPR/Cas9 technology were used to generated GmBSK1-OE, GmBES1.5-OE and gmbsk1 transgenic soybean plants, and transcriptome analysis, LUC activity assay and EMSA assay were carried out to elucidate the potential molecular mechanism underlying GmBSK1-GmBES1.5-mediated heat stress tolerance in soybean. RESULTS: CRISPR/Cas9-generated gmbsk1 knockout mutants exhibited increased sensitivity to heat stress due to a reduction in their ability to scavenge reactive oxygen species (ROS). The expression of GmBES1.5 was up-regulated in GmBSK1-OE plants under heat stress conditions, and it directly binds to the E-box motif present in the promoters of abiotic stress-related genes, thereby enhancing heat stress tolerance in soybean plants. Furthermore, we identified an interaction between GmGSK1 and GmBES1.5, while GmGSK1 inhibits the transcriptional activity of GmBES1.5. Interestingly, the interaction between GmBSK1 and GmGSK1 promotes the localization of GmGSK1 to the plasma membrane and releases the transcriptional activity of GmBES1.5. CONCLUSION: Our findings suggest that both GmBSK1 and GmBES1.5 play crucial roles in conferring heat stress tolerance, highlighting a potential strategy for breeding heat-tolerant soybean crops involving the regulatory module consisting of GmBSK1-GmGSK1-GmBES1.5.

Impact of Microparticle Transarterial Chemoembolization (mTACE) on myeloid-derived suppressor cell subtypes in hepatocellular carcinoma: Clinical correlations and therapeutic implications.

BACKGROUND: Myeloid-derived suppressor cells (MDSCs) play a pivotal role in immunosuppression and tumor progression in hepatocellular carcinoma (HCC). While various treatments like surgical resection, ablation, and radiotherapy have been studied for their effects on circulating MDSC frequencies in HCC patients, the findings remain inconclusive. Transarterial Chemoembolization (TACE) stands as the standard care for unresectable HCC, with Microparticle TACE (mTACE) gaining prominence for its capacity to induce significant tumor necrosis. However, the immunological ramifications of such pathological outcomes are scarcely reported. METHODS AND RESULTS: This study aims to elucidate the alterations in MDSC subtypes, specifically monocytic MDSCs (mMDSCs) and early-stage MDSCs (eMDSCs), post-mTACE and to investigate their clinical correlations in HCC patients. A cohort comprising 75 HCC patients, 16 liver cirrhosis patients, and 20 healthy controls (HC) was studied. Peripheral blood samples were collected and analyzed for MDSC subtypes. The study also explored the associations between MDSC frequencies and various clinical parameters in HCC patients. The frequency of mMDSCs was significantly elevated in the HCC group compared to liver cirrhosis and HC. Importantly, mMDSC levels were strongly correlated with aggressive clinical features of HCC, including tumor size, vascular invasion, and distant metastasis. Post-mTACE, a marked reduction in mMDSC frequencies was observed, while eMDSC levels remained stable. CONCLUSIONS: Our findings underscore the critical role of mMDSCs in HCC pathogenesis and their potential as a therapeutic target. The study also highlights the efficacy of mTACE in modulating the immunosuppressive tumor microenvironment, thereby opening new avenues for combinatorial immunotherapeutic strategies in HCC management.

Identification of miR-1 and miR-499 in chronic atrial fibrillation by bioinformatics analysis and experimental validation.

Background: Atrial fibrillation (AF) is one of the most prevalent arrhythmias and is characterized by a high risk of heart failure and embolic stroke, yet its underlying mechanism is unclear. The primary goal of this study was to establish a miRNA-mRNA network and identify the miRNAs associated with chronic AF by bioinformatics and experimental validation. Methods: The GSE79768 dataset was collected from the Gene Expression Omnibus(GEO) database to extract data from patients with or without persistent AF. Differentially expressed genes (DEGs) were identified in left atrial appendages (LAAs). The STRING platform was utilized for protein-protein interaction (PPI) network analysis. The target miRNAs for the top 20 hub genes were predicted by using the miRTarBase Web tool. The miRNA-mRNA network was established and visualized using Cytoscape software. The key miRNAs selected for verification in the animal experiment were confirmed by miRwalk Web tool. We used a classic animal model of rapid ventricular pacing for chronic AF. Two groups of animals were included in the experiment, namely, the ventricular pacing group (VP group), where ventricular pacing was maintained at 240-280 bpm for 2 weeks, and the control group was the sham-operated group (SO group). Finally, we performed reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to validate the expression of miR-1 and miR-499 in LAA tissues of the VP group and the SO group. Left atrial fibrosis and apoptosis were evaluated by Masson staining and caspase-3 activity assays, respectively. Results: The networks showed 48 miRNAs in LAA tissues. MiR-1 and miR-499 were validated using an animal model of chronic AF. The expression level of miR-1 was increased, and miR-499 was decreased in VP group tissues compared to SO group tissues in LAAs (P < 0.05), which were correlated with left atrial fibrosis and apoptosis in AF. Conclusion: This study provides a better understanding of the alterations in miRNA-1 and miR-499 in chronic AF from the perspective of the miRNA-mRNA network and corroborates findings through experimental validation. These findings may offer novel potential therapeutic targets for AF in the future.

Ultrasmall Enzyodynamic PANoptosis Nano-Inducers for Ultrasound-Amplified Hepatocellular Carcinoma Therapy and Lung Metastasis Inhibition.

Addressing the inefficiency of current therapeutic approaches for hepatocellular carcinoma is an urgent and pressing challenge. PANoptosis, a form of inflammatory programmed cell death, presents a dependable strategy for combating cancer by engaging multiple cell death pathways (apoptosis, pyroptosis, and necroptosis). In this study, an ultrasmall Bi2Sn2O7 nanozyme with ultrasound-magnified multienzyme-mimicking properties is designed and engineered as a PANoptosis inducer through destroying the mitochondrial function of tumor cells and enhancing the intracellular accumulation of toxic reactive oxygen species, finally triggering the activation of PANoptosis process. The role of PANoptosis inducer has been verified by the expression of related proteins, including cleaved Caspase 3, NLRP3, N-GSDMD, cleaved Caspase 1, p-MLKL, and RIPK3. The inclusion of external ultrasonic irradiation significantly augments the enzyodynamic therapeutic efficiency. In vitro and in vivo antineoplastic efficacy, along with inhibition of lung metastasis, validate the benefits of the Bi2Sn2O7-mediated PANoptosis pathway. This study not only elucidates the intricate mechanisms underlying Bi2Sn2O7 as a PANoptosis inducer, but also offers a novel perspective for the treatment of hepatocellular carcinoma.

Mo Migration-Induced Crystalline to Amorphous Conversion and Formation of RuMo/NiMoO4 Heterogeneous Nanoarray for Hydrazine-Assisted Water Splitting at Large Current Density.

Manipulating the atomic structure of the catalyst and tailoring the dissociative water-hydrogen bonding network at the catalyst-electrolyte interface is essential for propelling alkaline hydrogen evolution reactions (HER) and hydrazine oxidation reaction (HzOR), but remains a great challenge. Herein, we constructed an advanced a-RuMo/NiMoO4/NF heterogeneous electrocatalysts with amorphous RuMo alloy nanoclusters anchored to amorphous NiMoO4 skeletons on Ni foam by a heteroatom implantation strategy. Theoretical calculations and in-situ Raman tests show that the amorphous and alloying structure of a-RuMo/NiMoO4/NF not only induces the directional evolution of interfacial H2O, but also lowers the d-band center (from -0.43 to -2.22 eV) of a-RuMo/NiMoO4/NF, the Gibbs free energy of hydrogen adsorption (ΔGH*, from -1.29 to -0.06 eV), and the energy barrier of HzOR (ΔGN2(g) = 1.50 eV to ΔGN2* = 0.47 eV). Profiting from these favorable factors, the a-RuMo/NiMoO4/NF exhibits excellent electrocatalytic performances, especially at large current densities, with an overpotential of 13 and 129 mV to reach 10 and 1000 mA cm-2 for HER. While for HzOR, it needs only -91 and 276 mV to deliver 10 and 500 mA cm-2, respectively. Further, the constructed a-RuMo/NiMoO4/NF||a-RuMo/NiMoO4/NF electrolyzer demands only 7 and 420 mV to afford 10 and 500 mA cm-2.

Design, Synthesis, and Antimicrobial Activity Evaluation of Novel Isocryptolepine Derivatives against Phytopathogenic Fungi and Bacteria.

This research adopted the Fischer indole synthesis method to continue constructing a novel drug-like chemical entity based on the guidance of isocryptolepine and obtained four series of derivatives: Y, Da, Db, and Dc. The antimicrobial activity of these derivatives against plant pathogens was further evaluated. The results showed that Dc-2 had the best antifungal effect against Botrytis cinerea, and its EC50 value was up to 1.29 µg/mL. In addition, an in vivo activity test showed that the protective effect of Dc-2 on apples was 82.2% at 200 µg/mL, which was better than that of Pyrimethanil (45.4%). Meanwhile, it was found by scanning electron microscopy and transmission electron microscopy that the compound Dc-2 affected the morphology of mycelia. The compound Dc-2 was found to damage the cell membrane by PI and ROS staining. Through experiments such as leakage of cell contents, it was found that the compound Dc-2 changed the permeability of the cell membrane and caused the leakage of substances in the cell. According to the above studies, compound Dc-2 can be used as a candidate lead compound for further structural optimization and development.

Kinetic analysis and stability evaluation of femoral neck fracture with internal fixation based on gait rehabilitation training.

To explore the biomechanical effects of different internal fixation methods on femoral neck fractures under various postoperative conditions, mechanical analyses were conducted, including static and dynamic assessments. Ultimately, a mechanical stability evaluation system was established to determine the weights of each mechanical index and the evaluation scores for each sample. In static analysis, it was found that the mechanical stability of each model met the fixation requirements post-fracture. During the healing process, the maximum stress on the hollow nail slightly increased, and stress distribution shifted from multi-point to a more uniform single-point distribution, which contributes to fracture healing and reduces the risk of stress concentration. In dynamic analysis, resonance points frequently occurred at low frequencies. With increasing walking speed, the maximum stress increased significantly. At slow speeds, the maximum stress approached the material's yield limit. Under cyclic dynamic loading, the number of cycles barely met the requirements of the healing period, and increasing walking speed may lead to fatigue fractures. The evaluation model established in this study comprehensively considers different mechanical performances in static and dynamic analyses. Based on various mechanical analyses and evaluation systems, the applicability of internal fixation treatment plans can be assessed from multiple dimensions, providing the optimal simulated mechanical solution for each case of femoral neck fracture treatment.

Antibiotic bone cement combined with vacuum sealing drainage effectively repairs sacrococcygeal pressure ulcer.

OBJECTIVE: To investigate the effectiveness of antibiotic bone cement combined with the vacuum sealing drainage (VSD) technique for repairing sacrococcygeal pressure ulcer wounds. METHODS: A retrospective analysis was conducted on data from 136 patients treated at Yantai Affiliated Hospital of Binzhou Medical College between May 2020 and June 2022. The cases were devided into a control group and a study group according to their treatment regimen. Indicators of postoperative recovery including blood routine recovery time, hospital stay, antibiotic application time, and healing time were compared between the two groups. Before the procedure and 6, 12, 24, and 48 hours following the operation, the pain levels of patients in both groups were examined using a visual analogue scale (VAS). On the 3rd, 7th, 14th, 21st, and 28th days of treatment, the pressure ulcer scale for healing (PUSH) was used to measure the pressure ulcer area between the two groups. On the 7th, 14th, 21st, and 28th days following treatment, the capillary density values were compared between the two groups, along with the levels of interleukin-1ß (IL-1ß), interleukin-12 (IL-12), and c-reactive protein (CRP). The proportions of immunoglobulin M (IgM) and immunoglobulin G (IgG) levels, CD3+, CD4+, and CD8+ T cell subsets, as well as CD4+/CD8+ ratio, were compared between the two groups. RESULTS: The blood routine recovery time, hospital stays, antibiotic usage duration, and healing time were all significantly shorter in the study group compared to those in the control group (all P<0.05). At 6 h, 12 h, 24 h, and 48 h following surgery, the VAS score in study group was significantly lower than that of the control group (P<0.05). The study group also showed a greater reduction in pressure ulcer area, with lower PUSH scores observed on days 14, 21, and 28 (P<0.05). Post-treatment levels of IL-1ß, IL-12, and CRP decreased in both groups, with significantly lower levels in the study group (P<0.05). Following therapy, both groups demonstrated significantly increased levels of CD3+, CD4+, CD4+/CD8+, IgM and IgG and reduced level of CD8+. These improvements were more pronounced in the study group (all P<0.05). CONCLUSION: The combination of antibiotic bone cement and VSD is effective in enhancing recovery, reducing pain and inflammation, and improving immune response in the treatment of sacrococcygeal pressure ulcers.

High-performance hydrogen evolution reaction in quadratic nodal line semimetal Na2CdSn.

Topological nodal line semimetals (TNLSMs), which exhibit one-dimensional (1D) band crossing in their electronic band structure, have been predicted to be potential catalysts in electrocatalytic processes. However, the current studies are limited to the TNLSMs where the dispersion around the nodal line is linear in all directions. Here, the potential application of the quadratic nodal line (QNL) semimetal Na2CdSn in hydrogen evolution reaction is explored. Based on the bulk-boundary correspondence, we find that the topological surface states (TSSs) of the QNL are extended in the entire Brillouin zone. A linear relationship between the density of states of the TSSs and the Gibbs free energy is established in Na2CdSn. Remarkably, the best performance of Na2CdSn can be comparable to that of the noble metal Pt. Therefore, our work not only identifies an innovative type of topological catalyst with a QNL state but also confirms the relationship between TSSs and catalytic performance.

Identification of novel mitophagy-related biomarkers for Kawasaki disease by integrated bioinformatics and machine-learning algorithms.

Background: Kawasaki disease (KD) is a systemic vasculitis primarily affecting the coronary arteries in children. Despite growing attention to its symptoms and pathogenesis, the exact mechanisms of KD remain unclear. Mitophagy plays a critical role in inflammation regulation, however, its significance in KD has only been minimally explored. This study sought to identify crucial mitophagy-related biomarkers and their mechanisms in KD, focusing on their association with immune cells in peripheral blood. Methods: This research used four datasets from the Gene Expression Omnibus (GEO) database that were categorized as the merged and validation datasets. Screening for differentially expressed mitophagy-related genes (DE-MRGs) was conducted, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A weighted gene co-expression network analysis (WGCNA) identified the hub module, while machine-learning algorithms [random forest-recursive feature elimination (RF-RFE) and support vector machine-recursive feature elimination (SVM-RFE)] pinpointed the hub genes. Receiver operating characteristic (ROC) curves were generated for these genes. Additionally, the CIBERSORT algorithm was used to assess the infiltration of 22 immune cell types to explore their correlations with hub genes. Interactions between transcription factors (TFs), genes, and Gene-microRNAs (miRNAs) of hub genes were mapped using the NetworkAnalyst platform. The expression difference of the hub genes was validated using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). Results: Initially, 306 DE-MRGs were identified between the KD patients and healthy controls. The enrichment analysis linked these MRGs to autophagy, mitochondrial function, and inflammation. The WGCNA revealed a hub module of 47 KD-associated DE-MRGs. The machine-learning algorithms identified cytoskeleton-associated protein 4 (CKAP4) and serine-arginine protein kinase 1 (SRPK1) as critical hub genes. In the merged dataset, the area under the curve (AUC) values for CKAP4 and SRPK1 were 0.933 [95% confidence interval (CI): 0.901 to 0.964] and 0.936 (95% CI: 0.906 to 0.966), respectively, indicating high diagnostic potential. The validation dataset results corroborated these findings with AUC values of 0.872 (95% CI: 0.741 to 1.000) for CKAP4 and 0.878 (95% CI: 0.750 to 1.000) for SRPK1. The CIBERSORT analysis connected CKAP4 and SRPK1 with specific immune cells, including activated cluster of differentiation 4 (CD4) memory T cells. TFs such as MAZ, SAP30, PHF8, KDM5B, miRNAs like hsa-mir-7-5p play essential roles in regulating these hub genes. The qRT-PCR results confirmed the differential expression of these genes between the KD patients and healthy controls. Conclusions: CKAP4 and SRPK1 emerged as promising diagnostic biomarkers for KD. These genes potentially influence the progression of KD through mitophagy regulation.

PCMT1 confirmed as a pan-cancer immune biomarker and a contributor to breast cancer metastasis.

Protein L-isoaspartyl (D-aspartyl) methyltransferase (PIMT, gene name PCMT1) is an enzyme that repairs proteins with altered aspartate residues by methylation, restoring their normal structure and function. This study conducted a comprehensive analysis of PCMT1 in pan-cancer. The Cancer Genome Atlas, Human Protein Atlas website, and the Genotype-Tissue Expression were utilized in analysis of PCMT1 expression. We examined the association between PCMT1 expression and various factors, including gene modifications, DNA methylation, immune cell infiltration, immunological checkpoints, drug susceptibility, tumor mutation burden (TMB), and microsatellite instability (MSI). Enrichment analyses determined the potential biological roles and pathways involving PCMT1. Our focus then shifted to the role of PCMT1 in breast invasive carcinoma (BRCA). We found that PCMT1 expression was aberrant in many tumors and significantly influenced the prognosis across several cancer types. Gene alterations in PCMT1 predominantly involved deep deletions and amplifications. A negative correlation was observed between DNA methylation and PCMT1 expression across all studied cancer types except thyroid carcinoma PCMT1 exhibited positive correlations with common lymphoid progenitor and CD4(+) T helper 2 cells, whereas it was inversely correlated with central and effector memory T cells, memory CD8(+) T cells, and CD4(+) T helper 1 cells. In many cancer types, PCMT1 expression closely correlated with immunological checkpoint inhibitors, TMB, and MSI. It was also significantly linked to pathways involved in epithelial-mesenchymal transition (EMT), highlighting its role in cancer metastasis. PCMT1 emerged as a significant predictor of breast cancer progression. In vitro experiments demonstrated that reducing PCMT1 expression decreased BRCA cell migration and invasiveness. Additionally, animal studies confirmed that inhibition of PCMT1 slowed tumor growth.

Using multimodal ultrasound including full-time-series contrast-enhanced ultrasound cines for identifying the nature of thyroid nodules.

Background: Based on the conventional ultrasound images of thyroid nodules, contrast-enhanced ultrasound (CEUS) videos were analyzed to investigate whether CEUS improves the classification accuracy of benign and malignant thyroid nodules using machine learning (ML) radiomics and compared with radiologists. Materials and methods: The B-mode ultrasound (B-US), real-time elastography (RTE), color doppler flow images (CDFI) and CEUS cines of patients from two centers were retrospectively gathered. Then, the region of interest (ROI) was delineated to extract the radiomics features. Seven ML algorithms combined with four kinds of radiomics data (B-US, B-US + CDFI + RTE, CEUS, and B-US + CDFI + RTE + CEUS) were applied to establish 28 models. The diagnostic performance of ML models was compared with interpretations from expert and nonexpert readers. Results: A total of 181 thyroid nodules from 181 patients of 64 men (mean age, 42 years +/- 12) and 117 women (mean age, 46 years +/- 12) were included. Adaptive boosting (AdaBoost) achieved the highest area under the receiver operating characteristic curve (AUC) of 0.89 in the test set among 28 models when combined with B-US + CDFI + RTE + CEUS data and an AUC of 0.72 and 0.66 when combined with B-US and B-US + CDFI + RTE data. The AUC achieved by senior and junior radiologists was 0.78 versus (vs.) 0.69 (p > 0.05), 0.79 vs. 0.64 (p < 0.05), and 0.88 vs. 0.69 (p < 0.05) combined with B-US, B-US+CDFI+RTE and B-US+CDFI+RTE+CEUS, respectively. Conclusion: With the addition of CEUS, the diagnostic performance was enhanced for all seven classifiers and senior radiologists based on conventional ultrasound images, while no enhancement was observed for junior radiologists. The diagnostic performance of ML models was similar to senior radiologists, but superior to those junior radiologists.