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Single-nucleotide polymorphism (SNP) detection is critical for diagnosing diseases, and the development of rapid and accurate diagnostic tools is essential for treatment and prevention. Allele-specific polymerase chain reaction (AS-PCR) is widely used for detecting SNPs with multiplexing capabilities, while CRISPR-based technologies provide high sensitivity and specificity in targeting mutation sites through specific guide RNAs (gRNAs). In this study, we have integrated the high sensitivity and specificity of CRISPR technology with the multiplexing capabilities of AS-PCR, achieving the simultaneous detection of ten single-base mutations. As for Multi-AS-PCR, our research identified that competitive inhibition of primers targeting the same loci, coupled with divergent amplification efficiencies of these primers, could result in diminished amplification efficiency. Consequently, we adjusted and optimized primer combinations and ratios to enhance the amplification efficacy of Multi-AS-PCR. Finally, we successfully developed a novel nested Multi-AS-PCR-Cas12a method for multiplex SNPs detection. To evaluate the clinical utility of this method in a real-world setting, we applied it to diagnose rifampicin-resistant tuberculosis (TB). The limit of detection (LoD) for the nested Multi-AS-PCR-Cas12a was 102 aM, achieving sensitivity, specificity, positive predictive value, and negative predictive value of 100 %, 93.33 %, 90.00 %, and 100 %, respectively, compared to sequencing. In summary, by employing an innovative design that incorporates a universal reverse primer alongside ten distinct forward allele-specific primers, the nested Multi-AS-PCR-Cas12a technique facilitates the parallel detection of ten rpoB gene SNPs. This method also holds broad potential for the detection of drug-resistant gene mutations in infectious diseases and tumors, as well as for the screening of specific genetic disorders.
Subject(s)
CRISPR-Cas Systems , Polymorphism, Single Nucleotide , CRISPR-Cas Systems/genetics , Humans , Polymerase Chain Reaction/methods , Mutation , Mycobacterium tuberculosis/genetics , Rifampin/pharmacology , Limit of Detection , Multiplex Polymerase Chain Reaction/methods , Tuberculosis, Multidrug-Resistant/diagnosis , Tuberculosis, Multidrug-Resistant/genetics , Bacterial Proteins , Endodeoxyribonucleases , CRISPR-Associated ProteinsABSTRACT
Non-intrusive load monitoring (NILM) can obtain fine-grained power consumption information for individual appliances within the user without installing additional hardware sensors. With the rapid development of the deep learning model, many methods have been utilized to address NILM problems and have achieved enhanced appliance identification performance. However, supervised learning models require a substantial volume of annotated data to function effectively, which is time-consuming, laborious, and difficult to implement in real scenarios. In this paper, we propose a novel semi-supervised learning method that combines consistency regularization and pseudo-labels to help identification of appliances with limited labeled data and an abundance of unlabeled data. In addition, given the different learning difficulties of various appliance categories, for example, feature learning is more difficult for multi-state appliances than two-state appliances, the thresholds employed for different appliances are adjusted in a flexible way at each time step so that the informative unlabeled data and their pseudo-labels can be delivered. Experiments have been conducted on publicly available datasets, and the results indicate that the proposed method attains superior appliance identification performance compared to cutting-edge methods.
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Lesion mimic mutants (LMMs) refer to the spontaneous formation of disease-like spots on leaves without any obvious pathogen infection. The LMM genes can regulate plant immunity, thus promoting the defense of crops against pathogens. However, there is a lack of systematic understanding of the regulatory mechanism of LMMs in wheat. This study identified a wheat LMM TaCAT2, a homolog of the Arabidopsis CAT2. The prediction of the cis-regulatory element revealed that TaCAT2 was involved in the response of plants to various hormones and stresses. RT-qPCR analysis indicated that TaCAT2 was significantly up-regulated by NaCl, drought, and Fusarium graminearum infection. Fluorescence microscopy showed that the TaCAT2 was localized to the peroxisome. Overexpression of TaCAT2 enhanced plant resistance to Phytophthora infestation and F. graminearum by constitutionally activating SA and JA pathways. VIGS of TaCAT2 enhanced the sensitivity of wheat to F. graminearum. Further, TaCAT2 enhanced stress resistance by scavenging the excessive ROS and increasing the activities of antioxidative enzymes. This study lays the basis for the functional identification of TaCAT2 and its applicability in the disease resistance of wheat.
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Background: This study aims to use six nutrition-related indicators to assess the relationship between nutritional status and the risk of COPD as well as the all-cause mortality rate, and to determine the most reliable predictive indicators. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2013 to 2018 were extracted. Nutritional status was evaluated using Controlling nutritional status (CONUT) score, Geriatric Nutritional Risk Index (GNRI), Advanced Lung Cancer Inflammation Index (ALI), Prognostic Nutritional Index (PNI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Albumin-to-Globulin Ratio (AGR) nutritional-related indicators. Multivariate weighted logistic and Cox regression models were employed to assess the correlation between the six nutritional-related indicators and the risk of COPD and as all-cause mortality. The restricted cubic spline tests were applied to explore potential nonlinear relationships, and ROC curves and C-index analyses were conducted to compare the predictive capabilities of different indicators. Stratified analysis and propensity score matching (PSM) to assess the robustness of the results. Results: In this study, Lower ALI, lower GNRI, and higher CONUT scores were positively correlated with an increased risk of COPD (OR: 1.77, 95% CI: 1.10-2.84) (OR: 8.66, 95% CI: 2.95-25.5), and (OR: 5.11, 95% CI: 1.72-15.2), respectively. It was found that ALI and GNRI had a non-linear relationship with the risk of COPD. After propensity score matching (PSM), the associations between ALI, GNRI, CONUT scores, and COPD remained consistent. Lower ALI, PNI, and GNRI scores were positively associated with all-cause mortality in COPD patients (HR: 2.41, 95% CI: 1.10-5.27), (HR: 3.76, 95% CI: 1.89-7.48), and (HR: 4.55, 95% CI: 1.30-15.9), respectively, with GNRI displaying a non-linear relationship with all-cause mortality. ROC curve and C-index analyses indicated that ALI had the best predictive ability for both COPD risk and all-cause mortality. Conclusion: ALI, GNRI, and CONUT scores are correlated with the risk of COPD, while ALI, PNI, and GNRI scores are associated with all-cause mortality in COPD patients. Compared to other nutritional scores, ALI may provide more effective predictive value for both risk and all-cause mortality.
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Purpose: Accurate detection and identification of pathogens and their associated resistance mechanisms are essential prerequisites for implementing precision medicine in the management of Carbapenem-resistant Enterobacterales (CRE). Among the various resistance mechanisms, the production of KPC carbapenemase is the most prevalent worldwide. Consequently, this study aims to develop a convenient and precise nucleic acid detection platform specifically for the blaKPC gene. Methods: The initial phase of our research methodology involved developing a CRISPR/Cas12a detection framework, which was achieved by designing highly specific single-guide RNAs (sgRNAs) targeting the blaKPC gene. To enhance the sensitivity of this system, we incorporated three distinct amplification techniques-polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP), and recombinase polymerase amplification (RPA)-into the CRISPR/Cas12a framework. Subsequently, we conducted a comparative analysis of the sensitivity and specificity of these three amplification methods when used in combination with the CRISPR/Cas12a system. Additionally, we assessed the clinical applicability of the methodologies by evaluating fluorescence readouts from 80 different clinical isolates. Furthermore, we employed lateral flow assay technology to provide a visual representation of the results, facilitating point-of-care testing. Results: Following a comparative analysis of the sensitivity and specificity of the three methods, we identified the RPA-Cas12a approach as the optimal detection technique. Our findings demonstrated that the limit of detection (LoD) of the RPA-Cas12a platform was 1 aM (~1 copy/µL) for plasmid DNA and 5 × 10³ fg/µL for genomic DNA. Furthermore, both the sensitivity and specificity of the platform achieved 100% upon validation with 80 clinical isolates. Conclusion: These findings suggest that the developed RPA-Cas12a platform represents a promising tool for the cost-effective, convenient, and accurate detection of the blaKPC gene.
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BACKGROUND: Observational studies have preliminarily revealed an association between smoking and gastroesophageal reflux disease (GERD). However, little is known about the causal relationship and shared genetic architecture between the two. This study aims to explore their common genetic correlations by leveraging genome-wide association studies (GWAS) of smoking behavior-specifically, smoking initiation (SI), never smoking (NS), ever smoking (ES), cigarettes smoked per day (CPD), age of smoking initiation(ASI) and GERD. METHODS: Firstly, we conducted global cross-trait genetic correlation analysis and heritability estimation from summary statistics (HESS) to explore the genetic correlation between smoking behavior and GERD. Then, a joint cross-trait meta-analysis was performed to identify shared "pleiotropic SNPs" between smoking behavior and GERD, followed by co-localization analysis. Additionally, multi-marker analyses using annotation (MAGMA) were employed to explore the degree of enrichment of single nucleotide polymorphism (SNP) heritability in specific tissues, and summary data-based Mendelian randomization (SMR) was further utilized to investigate potential functional genes. Finally, Mendelian randomization (MR) analysis was conducted to explore the causal relationship between the smoking behavior and GERD. RESULTS: Consistent genetic correlations were observed through global and local genetic correlation analyses, wherein SI, ES, and CPD showed significantly positive genetic correlations with GERD, while NS and ASI showed significantly negative correlations. HESS analysis also identified multiple significantly associated loci between them. Furthermore, three novel "pleiotropic SNPs" (rs4382592, rs200968, rs1510719) were identified through cross-trait meta-analysis and co-localization analysis to exist between SI, NS, ES, ASI, and GERD, mapping the genes MED27, HIST1H2BO, MAML3 as new pleiotropic genes between SI, NS, ES, ASI, and GERD. Moreover, both smoking behavior and GERD were found to be co-enriched in multiple brain tissues, with GMPPB, RNF123, and RBM6 identified as potential functional genes co-enriched in Cerebellar Hemisphere, Cerebellum, Cortex/Nucleus accumbens in SI and GERD, and SUOX identified in Caudate nucleus, Cerebellum, Cortex in NS and GERD. Lastly, consistent causal relationships were found through MR analysis, indicating that SI, ES, and CPD increase the risk of GERD, while NS and higher ASI decrease the risk. CONCLUSION: We identified genetic loci associated with smoking behavior and GERD, as well as brain tissue sites of shared enrichment, prioritizing three new pleiotropic genes and four new functional genes. Finally, the causal relationship between smoking behavior and GERD was demonstrated, providing insights for early prevention strategies for GERD.
Subject(s)
Gastroesophageal Reflux , Genetic Predisposition to Disease , Genome-Wide Association Study , Mendelian Randomization Analysis , Polymorphism, Single Nucleotide , Smoking , Gastroesophageal Reflux/genetics , Humans , Smoking/genetics , Genomics , MultiomicsABSTRACT
Colchicine binding site inhibitors (CBSIs) have attracted much attention due to their antitumor efficacies and the advantages of inhibiting angiogenesis and overcoming multidrug resistance. However, no CBSI has been currently approved for cancer treatment due to the insufficient efficacies, serious toxicities and poor pharmacokinetic properties. Design of dual-target inhibitors is becoming a potential strategy for cancer treatment to improve anticancer efficacy, decrease adverse events and overcome drug resistance. Therefore, we reviewed dual-target inhibitors of colchicine binding site (CBS), summarized the design strategies and the biological activities of these dual-target inhibitors, expecting to provide inspiration for developing novel dual inhibitors based on CBS.
Subject(s)
Antineoplastic Agents , Colchicine , Neoplasms , Humans , Colchicine/metabolism , Colchicine/chemistry , Antineoplastic Agents/pharmacology , Antineoplastic Agents/chemistry , Antineoplastic Agents/chemical synthesis , Binding Sites/drug effects , Neoplasms/drug therapy , Neoplasms/metabolism , Tubulin Modulators/chemistry , Tubulin Modulators/pharmacology , Tubulin Modulators/therapeutic use , Molecular Structure , AnimalsABSTRACT
Clostridium butyricum is a Gram-positive anaerobic bacterium known for its ability to produce butyate. In this study, we conducted whole-genome sequencing and assembly of 14C. butyricum industrial strains collected from various parts of China. We performed a pan-genome comparative analysis of the 14 assembled strains and 139 strains downloaded from NCBI. We found that the genes related to critical industrial production pathways were primarily present in the core and soft-core gene categories. The phylogenetic analysis revealed that strains from the same clade of the phylogenetic tree possessed similar antibiotic resistance and virulence factors, with most of these genes present in the shell and cloud gene categories. Finally, we predicted the genes producing bacteriocins and botulinum toxins as well as CRISPR systems responsible for host defense. In conclusion, our research provides a desirable pan-genome database for the industrial production, food application, and genetic research of C. butyricum.
Subject(s)
Clostridium butyricum , Genome, Bacterial , Phylogeny , Clostridium butyricum/genetics , Clostridium butyricum/metabolism , Whole Genome Sequencing , Bacteriocins/genetics , Bacteriocins/biosynthesis , Industrial Microbiology , Botulinum Toxins/genetics , Virulence Factors/geneticsABSTRACT
Background: Frailty is a complex clinical syndrome characterized by a decline in the functioning of multiple body systems and reduced adaptability to external stressors. Dietary ω-3 fatty acids are considered beneficial dietary nutrients for preventing frailty due to their anti-inflammatory and immune-regulating properties. However, previous research has yielded conflicting results, and the association between ω-6 fatty acids, the ω-6: ω-3 ratio, and frailty remains unclear. This study aims to explore the relationship between these factors using the National Health and Nutrition Examination Survey (NHANES) database. Materials and methods: Specialized weighted complex survey design analysis software was employed to analyze data from the 2005-2014 NHANES, which included 12,315 participants. Multivariate logistic regression models and restricted cubic splines (RCS) were utilized to assess the relationship between omega intake and frailty risk in all participants. Additionally, a nomogram model for predicting frailty risk was developed based on risk factors. The reliability of the clinical model was determined by the area under the receiver operating characteristic (ROC) curve, calibration curves, and decision curve analysis (DCA). Results: In dietary ω-3 intake, compared to the T1 group (≤1.175 g/d), the T3 group's intake level (>2.050 g/d) was associated with approximately 17% reduction in frailty risk in model 3, after rigorous covariate adjustments (odds ratio (OR) = 0.83, 95% confidence interval (CI): (0.70, 0.99)). In dietary ω-6 intake, the T2 group's intake level (>11.423, ≤19.160 g/d) was associated with a 14% reduction in frailty risk compared to the T1 group (≤11.423 g/d) (OR: 0.86, 95% CI: 0.75, 1.00, p = 0.044). RCS results indicated a non-linear association between ω-3 and ω-6 intake and frailty risk. Both ROC and DCA curves demonstrated the stability of the constructed model and the effectiveness of an omega-rich diet in reducing frailty risk. However, we did not find a significant association between the ω-6: ω-3 ratio and frailty. Conclusion: This study provides support for the notion that a high intake of ω-3 and a moderate intake of ω-6 may contribute to reducing frailty risk in middle-aged and elderly individuals.
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Entecavir, an effective anti-hepatitis B drug with low resistance rate, was designed as sustained-release micro spheres in our previous study. Here, we aimed to reveal the drug-release mechanism by observing the drug distribution and degradation behavior of poly (lactic-co-glycolic acid) and to investigate the pharmacodynamics of entecavir micro spheres. Raman spectroscopy was used to analyze the distribution of active pharmaceutical ingredients in the micro spheres. The results showed that there was little entecavir near the micro sphere surface. With increasing micro sphere depth, the drug distribution gradually increased and larger-size entecavir crystals were mainly distributed near the spherical center. The degradation behavior of poly (lactic-co-glycolic acid) was investigated using gel permeation chromatography. Changes in poly (lactic-co-glycolic acid) molecular weights during micro sphere degradation revealed that dissolution dominated the release process, which proved our previous research results. Pharmacodynamics studies on transgenic mice indicated that the anti-hepatitis B virus replication effect was maintained for 42 days after a single injection of entecavir micro spheres, similar to the effect of daily oral administration of entecavir tablets for 28 days. The entecavir micro spheres prepared in this study had a good anti-hepatitis B virus replication effect and it is expected to be used in anti hepatitis B virus treatment against hepatitis B virus.
Subject(s)
Antiviral Agents , Guanine , Hepatitis B virus , Polylactic Acid-Polyglycolic Acid Copolymer , Guanine/pharmacology , Guanine/analogs & derivatives , Guanine/pharmacokinetics , Animals , Antiviral Agents/pharmacology , Antiviral Agents/pharmacokinetics , Polylactic Acid-Polyglycolic Acid Copolymer/chemistry , Hepatitis B virus/drug effects , Drug Liberation , Mice, Transgenic , Mice , Virus Replication/drug effects , Microspheres , Delayed-Action Preparations , Hepatitis B/drug therapy , Particle Size , Polyglycolic Acid/chemistry , Spectrum Analysis, Raman , Lactic AcidABSTRACT
Non-intrusive load monitoring (NILM) offers precise insights into equipment-level energy consumption by analyzing current and voltage data from residential smart meters, thus emerging as a potential strategy for demand-side management in power systems. However, a prevalent limitation in current NILM techniques is the presupposition of a known inventory of household appliances, an assumption that often becomes impractical due to the regular introduction of new appliances by consumers. To address this challenge, our approach integrates a vision transformer network with an additional detection head (ViTD), utilizing V-I trajectory images. Initially, the ViT model is trained to classify known appliances. Subsequently, an additional detection head is incorporated to manipulate the embedded features, encouraging the formation of distinct, compact class centers for the known appliance categories. During testing, samples are identified as either known or unknown appliances based on their proximity to these class centers. We utilize two public datasets, PLAID and WHITED, to demonstrate the effectiveness and superiority of our proposed method.
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Lithocarpus polystachyus (Wall. ex A. DC.), an economically valuable plant species belonging to the Fagaceae family, has been used as herbal tea to prevent diabetes because of the high content of flavonoids and dihydrochalcones in the leaves (Shang et al. 2022). In July 2022, the severe leaf lesion on L. polystachyus was first observed in Yongshun County, Xiangxi autonomous prefecture (28°45'34''N, 109°40'11''E), Hunan province, China. Yongshun County is characterized by hills and mountains, situated in a subtropical region with a mild and humid climate. A second outbreak in July 2023 was observed in the same area. The observed incident rates in the past two years were 87.3% and 90.6%, respectively. Once infected, almost all plant leaves will be infected, leading to a substantial reduction in the yield of L. polystachyus. The disease presented symptoms characterized by round or irregularly shaped lesions that initially manifested as brown spots. These lesions frequently merged into larger, dark-brown areas along the leaf margins before eventually wilting. To ascertain the pathogenic species responsible for this disease, fungal isolation was conducted using a tissue separation method (Xu et al. 2023). The infected leaf tissues were surface-disinfected with 75% ethanol and 0.1% HgCl then small pieces (1×1 cm), were placed onto potato dextrose agar (PDA) medium (Sigma-Aldrich, 70139) and incubated at 28°C for 6-9 days. Colonies were villiform and initially white, becoming gray after 6 days. Sterilized dissecting needles were used to pick single hyphal tips from the edge of the colonies and placed onto PDA for strain purification. After 15 days, the purified colonies grew fluffy white hyphae with abundant conidia. The conidia were cylindrical, had round ends, and ranged from 5.75 to 14.83 µm long and 1.75 to 2.38 µm wide (n=50). According to morphological and cultural characteristics, these isolates were preliminarily identified as Colletotrichum fructicola Prihast., L. Cai & K.D. Hyde (Damm et al. 2012). To further affirm the identity of the pathogen, DNA was extracted from mycelia using a DNA extraction kit (Sigma-Aldrich, G2N70). The internal transcribed spacer (ITS) region, the transcription elongation factor (TEF), and the actin (ACT) gene were then amplified from genomic DNA extracted from three isolates (Cof1, Cof2, and Cof3) using specific primers. The primers utilized were ITS1/ITS4 (White et al. 1990), EF1-728F/EF1-986R and ACT-512F/ACT-783R (Carbone and Kohn 1999) for ITS region, transcription elongation factor gene and actin gene amplification, respectively. Sequence identity indicated that these isolates were highly homologous to C. fructicola. The ITS (Genbank No. PP002156, OR880553 and OR880554), TEF (No. PP061421, PP061422 and PP061423), and ACT (No. PP061418, PP061419 and PP061420) sequences of the isolates Cof1, Cof2, and Cof3 shared 99 to 100% identity with their counterparts (No. OR083309, MF627961, and OQ427895) in C. fructicola, respectively. A neighbor-joining phylogenetic tree constructed using MEGA11 (Tamura et al. 2021) also indicated that these isolates were C. fructicola. Both morphological and molecular characteristics confirmed the identification of this pathogen as C. fructicola. Colletotrichum species are known to cause anthracnose disease in a variety of economically important crops (Sharma and Kulshrestha 2015). To further validate the ability of the isolated C. fructicola to induce the same symptoms as observed in the field, the pathogenicity assay was assessed following Koch's postulates (Gradmann, 2014). Conidial suspensions (1×105 conidia per mL) from three isolates were individually inoculated onto artificially wounded leaves of 3-year-old L. polystachyus. Negative controls were established by inoculating leaf wounds with sterile distilled water. The plants were incubated in a greenhouse at 28°C and 90% humidity with a 12-h photoperiod. The experiment was replicated three times. Necrotic lesions were observed on all pathogen-inoculated wounds within 6 days after inoculation, whereas controls showed no observable symptoms. Morphological and molecular characterization of re-isolated pathogens from infected leaves indicated that the pathogens were identical. To our knowledge, this is the first report of anthracnose of L. polystachyus caused by C. fructicola in China. Farmers in the local mountainous areas are economically reliant on L. polystachyus production, while anthracnose has caused over half of the trees to lose their commercial value, resulting in significant economic losses. Our findings hold great promise for advancing strategies in the prevention and treatment of anthracnose in L. polystachyus.
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Cisplatin, a frequently prescribed chemotherapeutic agent, serves as a clinically therapeutic strategy for a broad range of malignancies. Its primary mode of action centers around interference with DNA replication and RNA transcription, thereby inducing apoptosis in cancer cells. Nevertheless, the clinical utility of cisplatin is constrained by its severe adverse effects and the burgeoning problem of drug resistance. Ginsenosides, potent bioactive constituents derived from ginseng, possess an array of biological activities. Recent scientific investigations underscore the substantial amplification of cisplatin's anticancer potency and the mitigation of its harmful side effects when administered concomitantly with ginsenosides. This review aims to explore the underlying mechanisms at play in this combination therapy. Initially, we provide a concise introduction to the cisplatin. Then, we pivot towards illuminating how ginsenosides bolster the anticancer efficacy of cisplatin and counteract cisplatin resistance, culminating in enhanced therapeutic outcomes. Furthermore, we provide an extensive discussion on the reduction of cisplatin-induced toxicity in the kidneys, liver, gastrointestinal tract, nervous system, and ear, accompanied by immune-fortification with ginsenosides. The existing clinical combined use of cisplatin and ginsenosides is also discussed. We propose several recommendations to propel additional research into the mechanisms governing the synergistic use of ginsenosides and cisplatin, thereby furnishing invaluable insights and fostering advancement in combined modality therapy.
Subject(s)
Cisplatin , Ginsenosides , Neoplasms , Cisplatin/therapeutic use , Cisplatin/adverse effects , Cisplatin/administration & dosage , Ginsenosides/therapeutic use , Ginsenosides/pharmacology , Ginsenosides/administration & dosage , Humans , Animals , Neoplasms/drug therapy , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Antineoplastic Agents/therapeutic use , Antineoplastic Agents/administration & dosageABSTRACT
Purpose: The purpose of this retrospective study was to analyze the imaging and pathological features, treatment, and prognosis of patients with primary intraventricular lymphomas (PIL) in order to enhance physicians' understanding of the diagnosis and treatment of PIL. Methods: A retrospective analysis was conducted on 13 cases of PIL that were hospitalized in our institution. Clinical and imaging data of the patients were collected and compared with the pathology data to summarize and analyze the qualitative diagnostic value of magnetic resonance (MR) features. Results: Among the enrolled patients, there were nine males and four females, with an average age of (56 ± 9.0) years. The major clinical features observed in PIL patients were headache and dizziness. All 13 patients underwent plain and contrast-enhanced MR scans, revealing multiple foci in 7 cases and single foci in 6 cases. The lesions were located in the lateral ventricle in 10 cases, the third ventricle in 4 cases, and the fourth ventricle in 4 cases. Plain MR scans demonstrated an isointense or slightly hypointense signal on T1-weighted imaging (T1WI) and an isointense or slightly hyperintense signal on T2-weighted imaging (T2WI). Contrast-enhanced scans showed uniform and consistent enhancement of the tumors. Surgical treatment was performed in all patients, and postoperative pathology confirmed the presence of diffuse large B-cell lymphoma. Conclusions: PIL exhibits specific imaging and pathological features, with diffuse large B-cell lymphoma being the main pathological type. Pathological examination and immunophenotype analysis serve as the gold standards for PIL diagnosis.
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Background: Low levels of high-density lipoprotein cholesterol (HDL-C) are commonly seen in patients with type 2 diabetes mellitus (T2DM). However, it is unclear whether there is an independent or causal link between HDL-C levels and T2DM. This study aims to address this gap by using the The National Health and Nutrition Examination Survey (NHANES) database and Mendelian randomization (MR) analysis. Materials and methods: Data from the NHANES survey (2007-2018) with 9,420 participants were analyzed using specialized software. Logistic regression models and restricted cubic splines (RCS) were used to assess the relationship between HDL-C and T2DM incidence, while considering covariates. Genetic variants associated with HDL-C and T2DM were obtained from genome-wide association studies (GWAS), and Mendelian randomization (MR) was used to evaluate the causal relationship between HDL-C and T2DM. Various tests were conducted to assess pleiotropy and outliers. Results: In the NHANES study, all groups, except the lowest quartile (Q1: 0.28-1.09 mmol/L], showed a significant association between HDL-C levels and reduced T2DM risk (all P < 0.001). After adjusting for covariates, the Q2 [odds ratio (OR) = 0.67, 95% confidence interval (CI): (0.57, 0.79)], Q3 [OR = 0.51, 95% CI: (0.40, 0.65)], and Q4 [OR = 0.29, 95% CI: (0.23, 0.36)] groups exhibited average reductions in T2DM risk of 23%, 49%, and 71%, respectively. In the sensitivity analysis incorporating other lipid levels, the Q4 group still demonstrates a 57% reduction in the risk of T2DM. The impact of HDL-C levels on T2DM varied with age (P for interaction = 0.006). RCS analysis showed a nonlinear decreasing trend in T2DM risk with increasing HDL-C levels (P = 0.003). In the MR analysis, HDL-C levels were also associated with reduced T2DM risk (OR = 0.69, 95% CI = 0.52-0.82; P = 1.41 × 10-13), and there was no evidence of pleiotropy or outliers. Conclusion: This study provides evidence supporting a causal relationship between higher HDL-C levels and reduced T2DM risk. Further research is needed to explore interventions targeting HDL-C levels for reducing T2DM risk.
Subject(s)
Diabetes Mellitus, Type 2 , Humans , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/genetics , Cholesterol, HDL/genetics , Risk Factors , Mendelian Randomization Analysis , Nutrition Surveys , Triglycerides , Genome-Wide Association Study , Cholesterol, LDL/geneticsABSTRACT
German chamomile (Matricaria chamomilla L.) and Roman chamomile (Chamaemelum nobile) are the two well-known chamomile species from the Asteraceae family. Owing to their essential oils and higher medicinal value, these have been cultivated widely across Europe, Northwest Asia, North America, and Africa. Regarding medicinal applications, German chamomile is the most commonly utilized variety and is frequently recognized as the "star among medicinal species". The insufficient availability of genomic resources may negatively impact the progression of chamomile industrialization. Chamomile's mitochondrial genome is lacking in extensive empirical research. In this study, we achieved the successful sequencing and assembly of the complete mitochondrial genome of M. chamomilla and C. nobile for the first time. An analysis was conducted on codon usage, sequence repeats within the mitochondrial genome of M. chamomilla and C. nobile. The phylogenetic analysis revealed a consistent positioning of M. chamomilla and C. nobile branches within both mitochondrial and plastid-sequence-based phylogenetic trees. Furthermore, the phylogenetic analysis also showed a close relationship between M. chamomilla and C. nobile within the clade comprising species from the Asteraceae family. The results of our analyses provide valuable resources for evolutionary research and molecular barcoding in chamomile.
Subject(s)
Asteraceae , Genome, Mitochondrial , Matricaria , Oils, Volatile , Matricaria/genetics , Chamaemelum/genetics , Phylogeny , Genome, Mitochondrial/genetics , Asteraceae/geneticsABSTRACT
In all their applications, gas sensors should satisfy several requirements, including low cost, reduced energy consumption, fast response/recovery, high sensitivity, and reliability in a broad humidity range. Unfortunately, the fast response/recovery and sensing reliability under high humidity conditions are often still missing, especially those working at room temperature. In this study, a humidity-resistant gas sensor with an ultrafast response/recovery rate was designed by integrating a defect-rich semiconducting sensing interface and a self-assembled monolayer (SAM) with controllable wettability. As a proof-of-concept application, ammonia (NH3), one of the atmospheric and indoor pollutants, was selected as the target gas. The decoration of interconnected defective CeO2 nanowires on spaced TiO2 nanotube arrays (NTAs) provided superior NH3 sensing performances. Moreover, we showed that manipulating the functional end group of SAMs is an efficient and simple method to adjust the wettability, by which 86% sensitivity retention with an ultrafast response (within 5 s) and a low limit of detection (45 ppb) were achieved even at 75% relative humidity and room temperature. This work provides a new route toward the comprehensive design and application of metal oxide semiconductors for trace gas monitoring under harsh conditions, such as those of agricultural, environmental, and industrial fields.
Subject(s)
Ammonia , Nanotubes , Humidity , Reproducibility of Results , WettabilityABSTRACT
Biofilms pose significant threats to public health by causing persistent clinical infections. The development of innovative antibacterial approaches for eliminating biofilms is an urgent necessity. In this study, we developed amphiphilic Janus nanoparticles (JNPs), loaded with hydrophobic chlorin e6 (Ce6) and hydrophilic S-nitrosoglutathione (GSNO), denoted as Ce6-PDA/CaP-GSNO, with the aim to effectively eradicate biofilms and combat methicillin-resistant Staphylococcus aureus (MRSA) infections through nitric oxide (NO) synergistic photodynamic therapy (PDT). Ce6-PDA/CaP-GSNO demonstrated remarkable biofilm penetration ability, efficiently reaching the acidic inner layers, which triggered the rapid release of GSNO, resulting in the generation of an abundant supply of NO. NO not only exhibited potent bactericidal activity but also effectively lowered the GSH level of the biofilm, leading to enhanced efficacy of Ce6. Additionally, the interaction between NO and reactive oxygen species (ROS) resulted in the generation of reactive nitrogen species (RNS), further enhancing PDT efficacy both in vitro and in vivo. In summary, Ce6-PDA/CaP-GSNO demonstrated remarkable biofilm penetration capacity and effective reduction of the GSH level in the biofilms, leading to enhanced PDT efficacy at low photosensitizer doses and laser intensities, thereby minimizing adverse effects on normal tissues. These findings highlight the promising potential of our approach for combating biofilm-related infections.
Subject(s)
Methicillin-Resistant Staphylococcus aureus , Multifunctional Nanoparticles , Nanoparticles , Photochemotherapy , Porphyrins , Photochemotherapy/methods , Nitric Oxide , Photosensitizing Agents/chemistry , Porphyrins/chemistry , Biofilms , Nanoparticles/chemistryABSTRACT
BACKGROUND: The use of circulating lipid traits as biomarkers to predict the risk of amyotrophic lateral sclerosis (ALS) is currently controversial, and the evidence-based medical evidence for the use of lipid-lowering agents, especially statins, on ALS risk remains insufficient. Our aim was to apply a Mendelian randomization (MR) approach to assess the causal impact of lipid-lowering agents and circulating lipid traits on ALS risk. MATERIALS AND METHODS: Our study included primary and secondary analyses, in which the risk associations of lipid-lowering gene inhibitors, lipid traits, and ALS were assessed by the inverse variance weighting method as the primary approach. The robustness of the results was assessed using LDSC assessment, conventional MR sensitivity analysis, and used Mediating MR to explore potential mechanisms of occurrence. In the secondary analysis, the association of lipid-lowering genes with ALS was validated using the Summary data-based Mendelian Randomization (SMR) method. RESULTS: Our results showed strong evidence between genetic proxies for Apolipoprotein B (ApoB) inhibitor (OR = 0.76, 95% CI = 0.68 - 0.86; P = 5.58 × 10-6) and reduced risk of ALS. Additionally, 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR) inhibitor (OR = 1.06, 95% CI = 0. 85-1.33) was not found to increase ALS risk. SMR results suggested that ApoB expression was associated with increased ALS risk, and colocalization analysis did not support a significant common genetic variation between ApoB and ALS. Mediator MR analysis suggested a possible mediating role for interleukin-6 and low-density lipoprotein cholesterol (LDL-C). While elevated LDL-C was significantly associated with increased risk of ALS among lipid traits, total cholesterol (TC) and ApoB were weakly associated with ALS. LDSC results suggested a potential genetic correlation between these lipid traits and ALS. CONCLUSIONS: Using ApoB inhibitor can lower the risk of ALS, statins do not trigger ALS, and LDL-C, TC, and ApoB levels can predict the risk of ALS.