BACKGROUND: LncRNA colorectal neoplasia differentially expressed (CRNDE) was found to be an important regulator in many cancers. This project focuses on the function of CRNDE on macrophage metabolic reprogramming and Hepatocellular carcinoma (HCC). METHOD: qRT-PCR and Immunofluorescence were used to analyze Arg-1, IL-10, CD163, CCL-18, CD206, and CRNDE expression in HCC tissues and macrophages. Western Blotting was used to analyze ERK and p-ERK expression. Edu assay, transwell assay and xenograft experiments were carried out to study cell viability, migrated and invasive capability. Immunohistochemical staining was used to evaluate Ki67 expression. A liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed for macrophages metabolites analysis. RESULTS: Arg-1, IL-10, CD163, CD206, and CRNDE were significantly up-regulated in HCC tissues, M2 macrophage and M0 macrophage with CRNDE overexpressed (OV-CRNDE-M0), which downregulated in M0 macrophage with CRNDE knockdown (sh-CRNDE-M0). The conditioned medium (CM) of M2 cells and OV-CRNDE-M0 cells promoted cell viability, invasion, and migration of HCC cells, the effect was reversed by sh-CRNDE-M0 cells CM. OV-CRNDE-M0 cells promoted tumor growth, Ki67 and CD206 expression in xenograft model. 61 metabolites were detected, of which 18 metabolites changed significantly in OV-CRNDE-M0 group compared to M0 group, with 9 upregulated and 9 downregulated. KEGG analysis showed the enrichment pathways were biosynthesis, glyoxylate and dicarboxylate metabolism. SMPDB analysis showed the enrichment pathways were hypoacetylaspartia, canavan disease, and aspartate metabolism. CONCLUSION: CRNDE regulated the metabolic reprogramming of M2 macrophage via ERK pathway, which thereby contributed to HCC proliferation, migration, and invasion.
Objective: To assess cognitive function in patients newly diagnosed with ovarian cancer (OC) before treatment and explore the relationship between neuropsychological impairment, self-perceived cognitive deficit, symptoms, and health-related quality of life in them. Methods: From May 2021 to February 2022, 105 women newly diagnosed with OC were enrolled in the Cancer Center of Fudan University, Shanghai, China. Objective and subjective cognitive functions were assessed using the Montreal Cognitive Assessment (MoCA) scale and Perceptual Deficits Questionnaire (PDQ). Symptoms and quality of life were evaluated using the Memorial Symptom Assessment Scale (MSAS) and Functional Assessment of Cancer Therapy-Ovarian Cancer (FACT-O), respectively. Results: This study included 105 newly diagnosed OC patients, with an average age of 49.73 (±8.48) years. Of these, 72.38% had impaired neuropsychological test scores, especially in delayed recall, abstraction, and visuospatial/executive function. Retrospective, and prospective memory were the most serious perceived deficits. The results of the MoCA test were not associated with PDQ (Rs = -0.180, P = 0.067) and significantly correlated with the distress index, physiological and total scores of the MSAS, and emotional well- being of the FACT-O. The PDQ positively correlated with all MSAS dimensions but not with the FACT-O. Conclusion: The incidence of neuropsychological impairment in patients newly diagnosed with OC was high, with no association with self-perceived cognitive deficits. It is recommended that healthcare providers include cognitive impairment in symptom management in this population, who may benefit from early assessment, prevention, and intervention.
Background: Women undergoing in vitro fertilization and embryo transfer (IVF-ET) often utilize acupuncture to enhance pregnancy outcomes. Yet, the optimal timing for acupuncture sessions and the relationship between dosage and effect remain uncertain. Objectives: To investigate the impact of the timing and dosage of acupuncture on pregnancy outcomes, drawing on existing research. Methods: A comprehensive search of eight databases was conducted from their inception to January 14th, 2023, without restrictions on language. Only randomized controlled trials comparing acupuncture with either sham acupuncture or no adjuvant treatment were selected for inclusion. This meta-analysis assessed the efficacy of acupuncture in IVF-ET, analyzing the influence of varied timing and dosage on pregnancy outcomes. Subgroup analyses were undertaken to address any heterogeneity across the studies. Results: A total of 38 RCTs involving 5,991 participants were analyzed. In infertile women undergoing IVF fresh cycles, acupuncture performed during controlled ovarian hyperstimulation (COH) significantly increased the clinical pregnancy rate (CPR) (relative risk [RR] = 1.33, 95% confidence interval [CI]: 1.07-1.65, p = 0.01), whereas acupuncture administered either before COH or on the day of ET did not demonstrate reproductive benefits. Regarding frozen cycles, acupuncture before freeze-thaw embryo transfer (FET) significantly enhanced the CPR (RR = 1.71, 95% CI: 1.36-2.16, p < 0.00001) and live birth rate (LBR) (RR = 2.40, 95% CI: 1.20-4.79, p = 0.01). Improvements in CPR were observed across all dosage groups, but only the high-dosage group showed a significant increase in LBR (RR = 1.75, 95% CI: 1.05-2.92, p = 0.03). Conclusions: Timing and dosage of acupuncture are crucial factors affecting pregnancy outcomes in IVF-ET. For women undergoing IVF fresh cycles, acupuncture during COH yielded more significant reproductive benefits. In addition, acupuncture before freeze-thaw embryo transfer (FET) was associated with improved pregnancy outcomes in frozen cycles. Furthermore, higher dosages of acupuncture were linked to more favorable outcomes.
Objective: Inflammation is a central driver of atherogenesis and eventual plaque rupture. This study aimed to evaluate the association between residual inflammatory risk (RIR) and vulnerable plaques in the carotid artery in patients with ischemic stroke. Methods: Patients with acute ischemic stroke were enrolled from January 2021 to July 2022. They were divided into four groups: RIR only (LDL-C <2.6 mmol/L and hsCRP ≥2 mg/L), residual cholesterol risk (RCR) only (LDL-C ≥2.6 mmol/L and hsCRP <2 mg/L), both risk or residual cholesterol and inflammatory risk (RCIR) (LDL-C ≥2.6 mmol/L and hsCRP ≥2 mg/L), and neither risk (LDL-C <2.6 mmol/L and hsCRP <2 mg/L). Vulnerable plaques were determined if it had a low attenuated plaque CT value of <35 Hounsfield Units (HU) and a remodeling index of >1.1, which indicated a positive remodeling. Results: Out of the 468 enrolled patients, 157 (33.5%) were detected to have vulnerable plaques. The proportion of patients with neither risk, RIR, RCR, and RCIR were 32.9%, 28.6%, 18.8%, and 19.7%, respectively. Patients with vulnerable plaques exhibited a higher prevalence of hyperlipidemia (P = 0.026), higher proportion of RIR (P = 0.015), a higher ratio of stroke subtypes of large artery atherosclerosis (P = 0.012), and high leukocyte counts (P < 0.001). The logistic regression analysis detected that RIR was associated with vulnerable plaques after adjusted for major confounding factors (OR 1.98, 95% CI 1.13-3.45, P = 0.016), especially in the large artery atherosclerosis subtype (OR 2.71, 95% CI 1.08-6.77, P = 0.034). Conclusions: In patients with ischemic stroke, RIR is associated with the vulnerability of carotid plaques, especially for those with the large artery atherosclerosis subtype. Therefore, further studies investigating the interventions to modulate inflammation in these patients may be warranted.
Some Brucella spp. are important pathogens. According to the latest prokaryotic taxonomy, the Brucella genus consists of facultative intracellular parasitic Brucella species and extracellular opportunistic or environmental Brucella species. Intracellular Brucella species include classical and nonclassical types, with different species generally exhibiting host preferences. Some classical intracellular Brucella species can cause zoonotic brucellosis, including B. melitensis, B. abortus, B. suis, and B. canis. Extracellular Brucella species comprise opportunistic or environmental species which belonged formerly to the genus Ochrobactrum and thus nowadays renamed as for example Brucella intermedia or Brucella anthropi, which are the most frequent opportunistic human pathogens within the recently expanded genus Brucella. The cause of the diverse phenotypic characteristics of different Brucella species is still unclear. To further investigate the genetic evolutionary characteristics of the Brucella genus and elucidate the relationship between its genomic composition and prediction of phenotypic traits, we collected the genomic data of Brucella from the NCBI Genome database and conducted a comparative genomics study. We found that classical and nonclassical intracellular Brucella species and extracellular Brucella species exhibited differences in phylogenetic relationships, horizontal gene transfer and distribution patterns of mobile genetic elements, virulence factor genes, and antibiotic resistance genes, showing the close relationship between the genetic variations and prediction of phenotypic traits of different Brucella species. Furthermore, we found significant differences in horizontal gene transfer and the distribution patterns of mobile genetic elements, virulence factor genes, and antibiotic resistance genes between the two chromosomes of Brucella, indicating that the two chromosomes had distinct dynamics and plasticity and played different roles in the survival and evolution of Brucella. These findings provide new directions for exploring the genetic evolutionary characteristics of the Brucella genus and could offer new clues to elucidate the factors influencing the phenotypic diversity of the Brucella genus.
Every late autumn, fluttering poplar leaves scatter throughout the campus and city streets. In this work, poplar leaves were used as the raw material, while H3PO4 and KOH were used as activators and urea was used as the nitrogen source to prepare biomass based-activated carbons (ACs) to capture CO2. The pore structures, functional groups and morphology, and desorption performance of the prepared ACs were characterized; the CO2 adsorption, regeneration, and kinetics were also evaluated. The results showed that H3PO4 and urea obviously promoted the development of pore structures and pyrrole nitrogen (N-5), while KOH and urea were more conductive to the formation of hydroxyl (-OH) and ether (C-O) functional groups. At optimal operating conditions, the CO2 adsorption capacity of H3PO4- and KOH-activated poplar leaves after urea treatment reached 4.07 and 3.85 mmol/g, respectively, at room temperature; both showed stable regenerative behaviour after ten adsorption-desorption cycles.
BACKGROUND AND PURPOSE: We aimed to determine predictors of early (END) and delayed neurological deterioration (DND) and their association with functional outcome in patients with acute ischemic stroke (AIS) who participated in the international Enhanced Control of Hypertension and Thrombolysis Stroke Study (ENCHANTED). METHODS: END and DND were defined as scores of a ≥2 point increase on the National Institutes of Health Stroke Scale (NIHSS) or ≥1 point decrease on Glasgow coma scale, or death, from baseline to 24 hours and 24 hours to 72 hours, respectively. Multivariable logistic regression models were used to determine independent predictors of END and DND and their association with 90-day outcomes (dichotomous scores on the modified Rankin scale [mRS] of 2-6 vs 0-1 and 3-6 vs 0-2, and death). RESULTS: Of 4496 patients, 871 (19.4%) and 302 (8.4%) patients experienced END and DND, respectively. Higher baseline NIHSS score, older age, large artery occlusion due to significant atheroma, cardioembolic stroke subtype, hemorrhagic infarction and parenchymatous hematoma within 24 hours, were all independent predictors for both END (all P ≤0.01) and DND (all P ≤0.024). Moreover, higher baseline systolic blood pressure (BP) (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.02-1.12), higher diastolic BP variability within 24 hours (OR 1.07, 95% CI 1.04-1.09), patients from Asia (OR 1.25, 95% CI 1.03-1.52) were the only independent predictors for END. However, Asian ethnicity was negatively associated with DND (OR 0.64, 95% CI 0.47-0.86). Hemorrhagic infarction and parenchymatous hematoma within 24 hours were the key predictor of END across all stroke subtypes. END and DND were all associated with a poor functional outcome at 90 days (all P<0.001). CONCLUSIONS: We identified overlapping and unique demographic and clinical predictors of END and DND after thrombolysis for acute ischemic stroke. Both END and DND predict unfavorable outcomes at 90 days.
OBJECTIVE: Although accumulating evidence implicating altered gut microbiota in human immunodeficiency virus (HIV) infection and neurodegenerative disorders; however, the association between dysbiosis of the gut microbiota and metabolites in the pathogenesis of HIV-associated neurocognitive disorder (HAND) remains unclear. METHODS: Fecal and plasma samples were obtained from 3 cohorts (HAND, HIV-non-HAND, and healthy controls), metagenomic analysis and metabolomic profiling were performed to investigate alterations in the gut microbial composition and circulating metabolites in HAND. RESULTS: The gut microbiota of people living with HIV (PLWH) had an increased relative abundance of Prevotella and a decreased relative abundance of Bacteroides. In contrast, Prevotella and Megamonas were substantially decreased, and Bacteroides and Phocaeicola were increased in HAND patients. Moreover, untargeted metabolomics identified several neurotransmitters and certain amino acids associated with neuromodulation, and the differential metabolic pathways of amino acids associated with neurocognition were depleted in HAND patients. Notably, most neuromodulatory metabolites are associated with an altered abundance of specific gut bacteria. INTERPRETATION: Our findings provide new insights into the intricate interplay between the gut and microbiome-brain axis in the pathogenesis of HAND, highlighting the potential for developing novel therapeutic strategies that specifically target the gut microbiota. ANN NEUROL 2024.
The lack of suitable cathode materials has hampered the further development of calcium-ion batteries (CIBs). A novel composite cathode material, namely BaV6O16·3H2O@GO, was fabricated, which delivers a high specific capacity of 285.72 mA h g-1 at 50 mA g-1 after 50 cycles and a long cycle life, benefiting from a large layer spacing and robust structure. This study provides guidance for the development of vanadium-based cathode materials for CIBs.
Many patients with atrial fibrillation (AF) requiring long-term use of oral anticoagulants (OACs) are at high risk for vascular calcification and anticoagulation therapy with warfarin exacerbate vascular calcification. However, the effect of nonvitamin K agonists on vascular calcification has not been clearly investigated. This study explored the effects of dabigatran etexilate, rivaroxaban, and warfarin on vascular calcification among 1527 patients with AF. Demographics, comorbidities, laboratory test data, medications, and the prevalence and severity of vascular calcification in different vascular beds were compared. After propensity score matching, the incidence of vascular calcification in the rivaroxaban and warfarin group was significantly higher than that in the nonanticoagulant group, while there was no difference between the dabigatran etexilate group and the nonanticoagulant group. Similarly, we found that the rivaroxaban group had more severe calcification in the overall vascular level (P < 0.001), thoracic aorta (P < 0.001), aortic arch (P = 0.001), and left common carotid artery (P = 0.005) than the nonanticoagulant group. In addition, in the left common carotid artery, there was more severe calcification in the rivaroxaban group than that in the dabigatran group (P = 0.005). Our results suggest that rivaroxaban can significantly increase both the incidence and severity of vascular calcification among patients with AF, while dabigatran etexilate has no such effect. Many patients with AF requiring long-term use of OACs are at high risk for vascular calcification. This is the first study to conduct a head-to-head comparison of the effects of dabigatran etexilate and rivaroxaban on vascular calcification. Rivaroxaban, rather than dabigatran etexilate, promotes vascular calcification in patients with AF, providing important implications to aid clinicians in their choice for OAC selection, especially those at high risk for vascular calcification.
BACKGROUND: Protein residue-residue distance maps are used for remote homology detection, protein information estimation, and protein structure research. However, existing prediction approaches are time-consuming, and hundreds of millions of proteins are discovered each year, necessitating the development of a rapid and reliable prediction method for protein residue-residue distances. Moreover, because many proteins lack known homologous sequences, a waiting-free and alignment-free deep learning method is needed. RESULT: In this study, we propose a learning framework named FreeProtMap. In terms of protein representation processing, the proposed group pooling in FreeProtMap effectively mitigates issues arising from high-dimensional sparseness in protein representation. In terms of model structure, we have made several careful designs. Firstly, it is designed based on the locality of protein structures and triangular inequality distance constraints to improve prediction accuracy. Secondly, inference speed is improved by using additive attention and lightweight design. Besides, the generalization ability is improved by using bottlenecks and a neural network block named local microformer. As a result, FreeProtMap can predict protein residue-residue distances in tens of milliseconds and has higher precision than the best structure prediction method. CONCLUSION: Several groups of comparative experiments and ablation experiments verify the effectiveness of the designs. The results demonstrate that FreeProtMap significantly outperforms other state-of-the-art methods in accurate protein residue-residue distance prediction, which is beneficial for lots of protein research works. It is worth mentioning that we could scan all proteins discovered each year based on FreeProtMap to find structurally similar proteins in a short time because the fact that the structure similarity calculation method based on distance maps is much less time-consuming than algorithms based on 3D structures.
Proteins , Proteins/chemistry , Computational Biology/methods , Databases, Protein , Protein Conformation , Algorithms , Sequence Analysis, Protein/methods , Neural Networks, Computer
Detection of specific gene mutations in cell-free DNA (cfDNA) serves as a valuable cancer biomarker and is increasingly being explored as an appealing alternative to tissue-based methods. However, the lack of available reference materials poses challenges in accurately evaluating the performance of different assays. In this study, we present the development of a comprehensive reference material panel for cfDNA detection, encompassing nine hotspot mutations in KRAS/BRAF/EGFR/PIK3CA at three variant allele frequencies (VAFs), ranging from 0.33 to 23.9%. To mimic cfDNA, these reference materials were generated by enzymatically digesting cell-line DNA into approximately 154-bp to 173-bp fragments using a laboratory-developed reaction system. The VAFs for each variation were precisely determined through validated digital PCR assays with high accuracy. Furthermore, the reliability and applicability of this panel were confirmed through two independent NGS assays, yielding concordant results. Collectively, our findings suggest that this novel reference material panel holds great potential for validation, evaluation, and quality control processes associated with liquid biopsy assays.
Chimeric antigen receptor engineered T (CAR T) cell therapy has developed rapidly in recent years, leading to profound developments in oncology, especially for hematologic malignancies. However, given the pressure of immunosuppressive tumor microenvironments, antigen escape, and diverse other factors, its application in solid tumors is less developed. Urinary system tumors are relatively common, accounting for approximately 24% of all new cancers in the United States. CAR T cells have great potential for urinary system tumors. This review summarizes the latest developments of CAR T cell therapy in urinary system tumors, including kidney cancer, bladder cancer, and prostate cancer, and also outlines the various CAR T cell generations and their pathways and targets that have been developed thus far. Finally, the current advantages, problems, and side effects of CAR T cell therapy are discussed in depth, and potential future developments are proposed in view of current shortcomings.
Immunotherapy, Adoptive , Receptors, Chimeric Antigen , Urologic Neoplasms , Humans , Immunotherapy, Adoptive/methods , Urologic Neoplasms/therapy , Urologic Neoplasms/immunology , Receptors, Chimeric Antigen/immunology , T-Lymphocytes/immunology , Animals , Treatment Outcome , Tumor Microenvironment/immunology , Receptors, Antigen, T-Cell/immunology , Receptors, Antigen, T-Cell/metabolism
The real-time monitoring on the risk status of the vehicle and its driver can provide the assistance for the early detection and blocking control of single-vehicle accidents. However, complex risk coupling relationship is one of the main features of single-vehicle accidents with high mortality rate. On the basis of investigating the coupling effect among multi-risk factors and establishing a safety management database throughout the life cycle of vehicles, single-vehicle driving risk network (SVDRN) with a three-level threshold was developed, and its topology features were analyzed to assessment the importance of nodes. To avoid the one-sidedness of single indicator, the multi-attribute comprehensive evaluation model was applied to measure the comprehensive effect of characteristic indicators for nodes importance. A algorithm for real-time monitoring of vehicle driving risk status was proposed to identify key risk chains. The result revealed that improper operation, speeding, loss of vehicle control and inefficient driver management were the sequence of top four risk factors in the comprehensive evaluation result of nodes importance (mean value = 0.185, SD = 0.119). There were minor differences of 0.017 in the node importance among environmental factors, among which non-standard road alignment had the larger value. The improper operation and non-standard road alignment were the highest combination correlation of factors affecting road safety, with the support of 51.81% and the confidence of 69.35%. This identification algorithm of key risk chains that combines node importance and its risk state threshold can effectively determine the high-frequency risk transmission paths and risk factors through multi-vehicle test, providing a basis for centralization management of transport enterprises.
Accidents, Traffic , Algorithms , Accidents, Traffic/prevention & control , Accidents, Traffic/statistics & numerical data , Risk Factors , Humans , Automobile Driving , Risk Assessment/methods
Carbon-sequestering microorganisms play an important role in the carbon cycle of wetland ecosystems. However, the response mechanism of carbon-sequestering microbial communities to wetland type changes and their relationship with soil carbon remain unclear. To explore these differences and identify the main influencing factors, this study selected marsh wetlands, river wetlands and lakeside wetlands around Qinghai Lake as research subjects. High-throughput sequencing was employed to analyze the functional gene cbbM of carbon-sequestering microorganisms. The results revealed that the alpha diversity of cbbM carbon-sequestering microorganisms mirrored the trend in total carbon content, with the highest diversity observed in marsh wetlands and the lowest in lakeside wetlands. The dominant bacterial phylum was Proteobacteria, with prevalent genera including Thiothrix, Acidithiobacillus, and Thiodictyon. Acidithiobacillus served as a biomarker in lakeside wetlands, while two other genera were indicative of marsh wetlands. The hierarchical partitioning analysis indicated that the diversity of cbbM carbon-fixing microorganisms was primarily influenced by the total nitrogen content, while the community structure was significantly affected by the soil total carbon content. Moreover, an increased soil temperature and humidity were found to favor the carbon fixation processes of Thiomicrospira, Thiomonas, Polaromonas, and Acidithiobacillus. In summary, changes in wetland types seriously affected the characteristics of cbbM carbon sequestration in microbial communities, and a warm and humid climate may be conducive to wetland carbon sequestration.
OBJECTIVE: To explore the factors affecting delayed medical decision-making in older patients with acute ischemic stroke (AIS) using logistic regression analysis and the Light Gradient Boosting Machine (LightGBM) algorithm, and compare the two predictive models. METHODS: A cross-sectional study was conducted among 309 older patients aged ≥ 60 who underwent AIS. Demographic characteristics, stroke onset characteristics, previous stroke knowledge level, health literacy, and social network were recorded. These data were separately inputted into logistic regression analysis and the LightGBM algorithm to build the predictive models for delay in medical decision-making among older patients with AIS. Five parameters of Accuracy, Recall, F1 Score, AUC and Precision were compared between the two models. RESULTS: The medical decision-making delay rate in older patients with AIS was 74.76%. The factors affecting medical decision-making delay, identified through logistic regression and LightGBM algorithm, were as follows: stroke severity, stroke recognition, previous stroke knowledge, health literacy, social network (common factors), mode of onset (logistic regression model only), and reaction from others (LightGBM algorithm only). The LightGBM model demonstrated the more superior performance, achieving the higher AUC of 0.909. CONCLUSIONS: This study used advanced LightGBM algorithm to enable early identification of delay in medical decision-making groups in the older patients with AIS. The identified influencing factors can provide critical insights for the development of early prevention and intervention strategies to reduce delay in medical decisions-making among older patients with AIS and promote patients' health. The LightGBM algorithm is the optimal model for predicting the delay in medical decision-making among older patients with AIS.
Algorithms , Clinical Decision-Making , Ischemic Stroke , Humans , Aged , Female , Male , Cross-Sectional Studies , Logistic Models , Ischemic Stroke/therapy , Middle Aged , Aged, 80 and over , Health Literacy/statistics & numerical data
AIMS: To explore the causal relationship between ulcerative colitis (UC) and male infertility using Mendelian randomization method with single nucleotide polymorphism (SNP) as the instrumental variables. METHODS: Genetic loci closely associated with UC were extracted as instrumental variables and male infertility was the outcome variable in pooled data from the gene-wide association study (GWAS),which was derived from European ethnic groups. The UC data(ebi-a-GCST003045) contained a total sample size of 27432 individuals and 110944 SNPs, and the male infertility data(finn-b-N14_MALEINFERT) contained a total sample size of 73479 individuals and 16377329 SNPs. The SNPs highly correlated with UC were screened from ebi-a-GCST003045(P<5×10-8 as the screening condition, the linkage disequilibrium coefficient was 0.001,and the width of the linkage disequilibrium area was 10000 kb).SNPs related to male infertility from finn-b-N14_MALEINFERT (the minimum r2>0.8,replacing the missing SNPs with SNPs with high linkage, and deleting SNPs without substitution sites) were extracted. MR analysis was performed using MR-Egger regression, the weighted median and the inverse-variance weighted (IVW) respectively, and the causal relationship between UC and male infertility was evaluated by OR and 95% CI, and the Egger-intercept method was used to test for horizontal multiplicity, and the sensitivity analysis was performed using "leave-one-out method". Finally, we used Bayesian Weighted Mendelian Randomization (BWMR) approach to test the results of MR study. RESULTS: A total of 86 SNPs were included as IVs, with OR and 95% CI of 1.095(0.820~1.462)ã1.059(0.899~1.248)ã1.125(1.002~1.264) for MR-Egger, the weighted median and IVW results respectively, and P value of less than 0.05 for IVW, indicating that a causal relationship between UC and male infertility was causally related. The results of MR analysis combined with BWMR analysis also showed positive genetic causal relationship between UC and male infertility.MR-Egger regression showed an intercept of -2.21×10-3 with a standard error of 0.006 and P = 0.751, there was no horizontal pleiotropy for the IVs of exposure factors. Heterogeneity tests showed no heterogeneity and the results of the "leave-one-out" sensitivity analysis were stable. CONCLUSION: There is a causal association between UC and male infertility, which increases the risk of developing male infertility.
Colitis, Ulcerative , Genome-Wide Association Study , Infertility, Male , Mendelian Randomization Analysis , Polymorphism, Single Nucleotide , Humans , Male , Colitis, Ulcerative/genetics , Colitis, Ulcerative/complications , Infertility, Male/genetics , Linkage Disequilibrium , Genetic Predisposition to Disease
OBJECTIVES: The prevalence of respiratory infectious diseases has changed in the post-COVID-19 epidemic era, and mycoplasma pneumoniae (MP) infection in children has attracted wide attention. METHODS: Children hospitalized for pneumonia in Wuhan, China, in 2023 were enrolled. Respiratory secretions were obtained for the targeted next-generation sequencing (tNGS) including mutation of MP. Pulmonary inflammation was divided into bronchopneumonia and pulmonary consolidation/atelectasis according to lung computed tomography imaging. RESULTS: Of the 667 pediatric pneumonia, 478 were MP positive (72%). The positive rate of MP detected by tNGS increased from April, and MP had become the primary pathogen of pneumonia in children in 2023. The 23S rRNA mutations were all A2063G, accounting for 85% of detected MP. The clinical symptoms of the mutant and wild-type strains were similar, with half of them experiencing atelectasis and lung consolidation. Early bronchoscopic lavage combined with azithromycin in pediatric pulmonary consolidation was an effective therapy strategy, which could be an alternative selection to MP pneumonia treatment. CONCLUSIONS: A2063G mutant strain MP was the primary pathogen of mycoplasma pneumoniae in children recently, which was often complicated by extra-pulmonary symptoms and complications.
