Background: In addition to damage to the lungs, coronavirus disease 2019 (COVID-19) can damage multiple organs, including the kidney. Our purpose was to analyze the research hotspots and trends in COVID-19 and kidney diseases using bibliometrics to help clarify the development direction of this field. Methods: We selected and extracted all relevant publications related to COVID-19 and the kidney from the Web of Science from December 1, 2019, to July 24, 2022. VOSviewer, RStudio, CiteSpace, and other software were used to visualize keywords, publishing trends, authors and their countries, and institutions in this field and perform the statistical analysis. Results: A total of 645 articles published in 220 journals were included in this study. The United States and China contributed the most publications and were most active in international cooperation. In addition to COVID-19 and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), acute kidney injury (AKI), kidney transplant and mortality were the three keywords with the highest frequencies. In the initial stage of the COVID-19 outbreak, research focused on the clinical symptoms of COVID-19 and other macrocharacteristics, while in a later stage, the associations between SARS-CoV-2 infection and CKD and AKI, as well as the prognosis of patients with kidney disease or those who underwent kidney transplantation, gained more attention. The immune response and vaccines were also recent research hotspots. Conclusions: This bibliometric analysis provides a comprehensive overview of research on COVID-19 and kidney disease, which has received continuous, global attention. AKI, CKD, kidney transplantation, immune response and vaccines are among the hotspots in this field.
BACKGROUND: Currently, mediastinoscopy-assisted esophagectomy (MAE) and thoracoscope-assisted esophagectomy (TAE) represent two prevalent forms of minimally invasive esophagectomy extensively employed in the management of esophageal cancer (EC). The aim of this meta-analysis is to assess and compare these two surgical approaches concerning perioperative outcomes and long-term survival, offering valuable insights for refining surgical strategies and enhancing patient outcomes in this field. METHODS: Adhering to PRISMA guidelines, we systematically searched PubMed, Web of Science, Cochrane Library, Embase, and CNKI databases until March 1, 2024, for studies comparing MAE and TAE. Outcomes of interest included perioperative outcomes (intraoperative outcomes, postoperative recovery, postoperative complications) and survival rates. Statistical analyses were performed using RevMan 5.4, with heterogeneity dictating the use of fixed or random-effects models. RESULTS: Totally 21 relevant studies were finally included. MAE was associated with significantly shorter operation times ((MD=-59.58 min, 95% CI: -82.90, -36.26) and less intraoperative blood loss (MD=-68.34 mL, 95% CI: -130.45, -6.23). However, MAE resulted in fewer lymph nodes being dissected (MD=-3.50, 95% CI: -6.23, -0.78). Postoperative recovery was enhanced following MAE, as evidenced by reduced hospital stays and tube times. MAE significantly reduced pulmonary complications (OR=0.59, 95% CI: 0.44, 0.81) but increased the incidence of recurrent laryngeal nerve injury (OR=1.84, 95% CI: 1.30, 2.60). No significant differences were observed in anastomotic leakage, chylothorax, cardiac complications, wound infections, and gastric retention between MAE and TAE. The long-term survival outcomes showed no statistical difference (HR=1.05, 95% CI: 0.71-1.54). CONCLUSIONS: MAE offers advantages in reducing operation time, blood loss, and specific postoperative complications, particularly pulmonary complications, with a shorter recovery period compared to TAE. However, it poses a higher risk of recurrent laryngeal nerve injury and results in fewer lymph nodes being dissected. No difference in long-term survival was observed, indicating that both techniques have distinct benefits and limitations. These findings underscore the need for personalized surgical approaches in EC treatment, considering individual patient characteristics and tumor specifics.
BACKGROUND: Spatiotemporal disparities exist in the disease burden of non-communicable diseases (NCDs) attributable to kidney dysfunction, which has been poorly assessed. The present study aimed to evaluate the spatiotemporal trends of the global burden of NCDs attributable to kidney dysfunction and to predict future trends. METHODS: Data on NCDs attributable to kidney dysfunction, quantified using deaths and disability-adjusted life-years (DALYs), were extracted from the Global Burden of Diseases Injuries, and Risk Factors (GBD) Study in 2019. Estimated annual percentage change (EAPC) of age-standardized rate (ASR) was calculated with linear regression to assess the changing trend. Pearson's correlation analysis was used to determine the association between ASR and Sociodemographic Index (SDI) for 21 GBD regions. A Bayesian age-period-cohort (BAPC) model was used to predict future trends up to 2040. RESULTS: Between 1990 and 2019, the absolute number of deaths and DALYs from NCDs attributable to kidney dysfunction increased globally. The death cases increased from 1,571,720 (95% uncertainty interval [UI]: 1,344,420-1,805,598) in 1990 to 3,161,552 (95% UI: 2,723,363-3,623,814) in 2019 for both sexes combined. Both the ASR of death and DALYs increased in Andean Latin America, the Caribbean, Central Latin America, Southeast Asia, Oceania, and Southern Sub-Saharan Africa. In contrast, the age-standardized metrics decreased in the high-income Asia Pacific region. The relationship between SDI and ASR of death and DALYs was negatively correlated. The BAPC model indicated that there would be approximately 5,806,780 death cases and 119,013,659 DALY cases in 2040 that could be attributed to kidney dysfunction. Age-standardized death of cardiovascular diseases (CVDs) and CKD attributable to kidney dysfunction were predicted to decrease and increase from 2020 to 2040, respectively. CONCLUSION: NCDs attributable to kidney dysfunction remain a major public health concern worldwide. Efforts are required to attenuate the death and disability burden, particularly in low and low-to-middle SDI regions.
BACKGROUND AND OBJECTIVE: Rapid advances in computer vision (CV) have the potential to facilitate the examination, diagnosis, and treatment of diseases of the kidney. The bibliometric study aims to explore the research landscape and evolving research focus of the application of CV in kidney medicine research. METHODS: The Web of Science Core Collection was utilized to identify publications related to the research or applications of CV technology in the field of kidney medicine from January 1, 1900, to December 31, 2022. We analyzed emerging research trends, highly influential publications and journals, prolific researchers, countries/regions, research institutions, co-authorship networks, and co-occurrence networks. Bibliographic information was analyzed and visualized using Python, Matplotlib, Seaborn, HistCite, and Vosviewer. RESULTS: There was an increasing trend in the number of publications on CV-based kidney medicine research. These publications mainly focused on medical image processing, surgical procedures, medical image analysis/diagnosis, as well as the application and innovation of CV technology in medical imaging. The United States is currently the leading country in terms of the quantities of published articles and international collaborations, followed by China. Deep learning-based segmentation and machine learning-based texture analysis are the most commonly used techniques in this field. Regarding research hotspot trends, CV algorithms are shifting toward artificial intelligence, and research objects are expanding to encompass a wider range of kidney-related objects, with data dimensions used in research transitioning from 2D to 3D while simultaneously incorporating more diverse data modalities. CONCLUSION: The present study provides a scientometric overview of the current progress in the research and application of CV technology in kidney medicine research. Through the use of bibliometric analysis and network visualization, we elucidate emerging trends, key sources, leading institutions, and popular topics. Our findings and analysis are expected to provide valuable insights for future research on the use of CV in kidney medicine research.
Uncontrollable massive bleeding caused by trauma will cause the patient to lose a large amount of blood and drop body temperature quickly, resulting in hemorrhagic shock. This study aims to develop a hemostatic product for hemorrhage management. In this study, waste pomelo peel as raw material is chosen. It underwent processes of carbonization, purification, and freeze-drying. The obtained carbonized pomelo peel (CPP) is hydrophilic and exhibits a porous structure (nearly 80% porosity). The water/blood absorption ratio is significantly faster than the commercial Gelfoam and has a similar water/blood absorption capacity. In addition, the CPP showed a water-triggered shape-recoverable ability. Moreover, the CPP shows ideal cytocompatibility and blood compatibility in vitro and favorable tissue compatibility after long terms of subcutaneous implantation. Furthermore, CPP can absorb red blood cells and fibrin. It also can absorb platelets and activate platelets, and it is capable of achieving rapid hemostasis on the rat tail amputation and hepatectomized hemorrhage model. In addition, the CPP not only can quickly stop bleeding in the rat liver-perforation and rabbit heart uncontrolled hemorrhage models, but also promotes rat liver and rabbit heart tissue regeneration in situ. These results suggest the CPP has shown great potential for managing uncontrolled hemorrhage.
Cellulose , Disease Models, Animal , Hemorrhage , Animals , Rabbits , Rats , Cellulose/chemistry , Citrus/chemistry , Hemostatics/pharmacology , Male , Hemostasis/drug effects , Rats, Sprague-Dawley , Gels , Wounds and Injuries/complications
Understanding intracellular phase separation is crucial for deciphering transcriptional control, cell fate transitions, and disease mechanisms. However, the key residues, which impact phase separation the most for protein phase separation function have remained elusive. We develop PSPHunter, which can precisely predict these key residues based on machine learning scheme. In vivo and in vitro validations demonstrate that truncating just 6 key residues in GATA3 disrupts phase separation, enhancing tumor cell migration and inhibiting growth. Glycine and its motifs are enriched in spacer and key residues, as revealed by our comprehensive analysis. PSPHunter identifies nearly 80% of disease-associated phase-separating proteins, with frequent mutated pathological residues like glycine and proline often residing in these key residues. PSPHunter thus emerges as a crucial tool to uncover key residues, facilitating insights into phase separation mechanisms governing transcriptional control, cell fate transitions, and disease development.
Machine Learning , Proteins , Glycine
Obesity and Type 2 Diabetes (T2D) are two highly prevalent diseases that exhibit a complex interplay between them. Obesity serves as a primary risk factor for the development of T2D, and conversely, individuals with T2D often exhibit comorbid obesity. Renal dysfunction emerges as a critical consequence of the convergence of obesity and Type 2 Diabetes, contributing significantly to the overall burden of complications associated with these conditions. Recognizing the profound implications of renal dysfunction in individuals contending with both obesity and Type 2 Diabetes, interventions targeting weight loss have gained prominence as potential therapeutic avenues. Weight loss not only addresses the primary risk factor of obesity but also holds the promise of mitigating the progression of Type 2 Diabetes and its associated renal complications. This comprehensive review aims to explore the impact of weight loss on renal function in individuals contending with the convergence of obesity and T2D.
Diabetes Mellitus, Type 2 , Kidney Diseases , Humans , Diabetes Mellitus, Type 2/drug therapy , Obesity/complications , Obesity/therapy , Weight Loss , Kidney
PURPOSE: To examine the associations between use of statins and risks of various ovarian, uterine, and cervical diseases, including ovarian cancer, endometrial cancer, cervical cancer, ovarian cyst, polycystic ovarian syndrome, endometriosis, endometrial hyperplasia, endometrial polyp, and cervical polyp. METHODS: We conducted a cohort study among female participants in the UK Biobank. Information on the use of statins was collected through verbal interview. Outcome information was obtained by linking to national cancer registry data and hospital inpatient data. We used Cox proportional hazards regression to examine the associations. RESULTS: A total of 180,855 female participants (18,403 statin users and 162,452 non-users) were included. Use of statins was significantly associated with increased risks of cervical cancer (adjusted hazard ratio (HR), 1.55; 95% confidence interval (95% CI), 1.05-2.30) and polycystic ovarian syndrome (adjusted HR, 4.39; 95% CI, 1.68-11.49). However, we observed no significant association between use of statins and risk of ovarian cancer, endometrial cancer, ovarian cyst, endometriosis, endometrial hyperplasia, endometrial polyp, or cervical polyp. CONCLUSION: Our findings suggest that use of statins is associated with increased risks of cervical cancer and polycystic ovarian syndrome, but is not associated with increased or decreased risk of ovarian cancer, endometrial cancer, ovarian cyst, endometriosis, endometrial polyp, or cervical polyp.
Hydroxymethylglutaryl-CoA Reductase Inhibitors , Ovarian Neoplasms , Humans , Female , Hydroxymethylglutaryl-CoA Reductase Inhibitors/adverse effects , United Kingdom/epidemiology , Middle Aged , Cohort Studies , Adult , Ovarian Neoplasms/epidemiology , Aged , Biological Specimen Banks , Polycystic Ovary Syndrome/epidemiology , Polycystic Ovary Syndrome/drug therapy , Uterine Cervical Diseases/epidemiology , Uterine Cervical Diseases/chemically induced , Uterine Diseases/chemically induced , Uterine Diseases/epidemiology , Risk Factors , Uterine Cervical Neoplasms/epidemiology , Proportional Hazards Models , UK Biobank
Esophageal cancer (EC) treatment via anti-angiogenic therapy faces challenges due to non-cytotoxicity and non-specific biodistribution of the anti-angiogenic agents. Hence, the quest for a synergistic treatment modality and a targeted delivery approach to effectively address EC has become imperative. In this study, an acid-responsive release nanosystem (Bev-IR820@FeIII TA) that involves the conjugation of bevacizumab, an anti-angiogenic monoclonal antibody, with TA and Fe3+ to form a metal-phenolic network, followed by loading with the near-infrared photothermal agent (IR820) to achieve combinational therapy, is designed. The construction of Bev-IR820@FeIII TA can be realized through a facile self-assembly process. The Bev-IR820@FeIII TA exhibits tumor-targeting capabilities and synergistic therapeutic effects, encompassing anti-angiogenic therapy, photothermal therapy (PTT), and ferroptosis therapy (FT). Bev-IR820@FeIII TA exhibits remarkable proficiency in delivering drugs to EC tissue through its pH-responsive release properties. Consequently, bevacizumab exerts its therapeutic effects by obstructing tumor angiogenesis, thereby impeding tumor growth. Meanwhile, PTT facilitates localized thermal ablation at the tumor site, directly eradicating EC cells. FT synergistically collaborates with PTT, giving rise to the formation of a reactive oxygen species (ROS) storm, subsequently culminating in the demise of EC cells. In summary, this amalgamated treatment modality carries substantial promise for synergistically impeding EC progression and showcases auspicious prospects for future EC treatment.
Esophageal Neoplasms , Ferroptosis , Humans , Photothermal Therapy , Bevacizumab/pharmacology , Bevacizumab/therapeutic use , Ferric Compounds , Tissue Distribution , Esophageal Neoplasms/drug therapy
Purpose: This study aimed to investigate the intricate relationship between weight change patterns and the onset of chronic kidney disease (CKD). Although obesity is recognized as a predisposing factor for CKD, the dynamics of weight fluctuation and its impact on CKD development are not well-defined. By analyzing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2018, we sought to elucidate the association between weight trajectories and CKD risk. Patients and Methods: We included participants aged ≥40 years, employing body mass index (BMI) measurements at three life stages-baseline, age 25, and a decade preceding baseline-to categorize weight change patterns. Logistic regression was employed to evaluate the association of these patterns with CKD onset, adjusting for potential confounders. Results: The study encompassed 12,284 participants, with 2893 individuals diagnosed with CKD. Transitioning from normal weight to obesity and staying obese throughout adulthood were found to increase the risk of developing CKD. These associations remained consistent after adjusting for covariates but were statistically insignificant after adjusting for comorbidities. Notably, individuals transitioning from obesity to normal weight from age 25 to baseline and from 10 years before baseline to baseline demonstrated significant correlations with CKD but not between age 25 and 10 years before baseline. Conclusion: Obesity, weight gain throughout adulthood, and weight loss in middle-to-late adulthood are associated with an increased risk of CKD. This emphasizes the importance of long-term weight change patterns and maintaining a healthy weight throughout adulthood.
Background: Chronic kidney disease (CKD) is an incurable disease requiring lifelong management. China has a high prevalence of CKD, which disproportionately affects older adults and those with chronic risk factors for CKD development. The rising prevalence of CKD in China places a substantial burden on the general population and the healthcare system. Summary: In China, there are currently many unmet needs for patients with CKD and high-risk individuals, resulting from a lack of education and support to reduce risk factors, delayed diagnoses, limited knowledge of CKD among primary-care physicians, and poor access to treatments among some patient populations. An integrated, nationwide approach is required to improve the current situation of CKD management in China. There are currently several national healthcare frameworks in place that focus on new major health policies to prevent disease and encourage people to adopt healthier lifestyles, and while they do not directly target CKD, they may have a positive indirect impact. We explore the unmet needs for patients with CKD in China and discuss the potential strategies that may be required to overcome them. Such strategies include improving physician and patient education, establishing a targeted screening programme, supporting patients to improve self-management behaviours, accelerating the creation of medical consortia and medical satellite centres, and migrating from hospital- to community-based management. In addition to policy-driven strategies, development of novel therapies will be key to providing new solutions for the long-term management of CKD. Key Messages: An integrated, nationwide approach is required, incorporating policy-driven changes to the clinical management of CKD, as well as the development of novel CKD treatments.
BACKGROUND: An increasing number of cohort studies have indicated a correlation between lung diseases and esophageal cancer, but the exact causal relationship has not been definitively established. Therefore, the objective of this study is to assess the causal relationship between lung diseases and esophageal cancer. METHODS: Single-nucleotide polymorphisms (SNPs) related to lung diseases such as asthma, chronic obstructive pulmonary disease (COPD), lung cancer, and idiopathic pulmonary fibrosis (IPF), along with outcomes data on esophageal cancer, were extracted from public genome-wide association studies (GWAS). A two-sample Mendelian randomization (MR) analysis was then performed using publicly available GWAS data to investigate the potential causal relationship. The effect estimates were primarily calculated using the fixed-effects inverse-variance-weighted method. RESULTS: Totally, 81 SNPs related to asthma among 218,792 participants in GWAS. Based on the primary causal effects model using MR analyses with the inverse variance weighted (IVW) method, asthma was demonstrated a significantly related to the risk of esophageal cancer (OR 1.0006; 95% CI 1.0003-1.0010, p = 0.001), while COPD (OR 1.0306; 95% CI 0.9504-1.1176, p = 0.466), lung cancer (OR 1.0003, 95% CI 0.9998-1.0008, p = 0.305), as well as IPF (OR 0.9999, 95% CI 0.9998-1.0000, p = 0.147), showed no significant correlation with esophageal cancer. CONCLUSIONS: The two-sample MR analysis conducted in this study revealed a positive causal relationship between asthma and esophageal cancer. In contrast, esophageal cancer demonstrated no significant correlation with COPD, lung cancer, or IPF. Further large-sample prospective studies are needed to validate these findings and to provide appropriate recommendations regarding esophageal cancer screening among patients with asthma.
Asthma , Esophageal Neoplasms , Idiopathic Pulmonary Fibrosis , Lung Neoplasms , Pulmonary Disease, Chronic Obstructive , Humans , Genome-Wide Association Study , Mendelian Randomization Analysis , Lung Neoplasms/epidemiology , Lung Neoplasms/genetics , Pulmonary Disease, Chronic Obstructive/epidemiology , Pulmonary Disease, Chronic Obstructive/genetics , Asthma/genetics , Esophageal Neoplasms/genetics , Polymorphism, Single Nucleotide
Carcinoma, Squamous Cell , Esophageal Neoplasms , Esophageal Squamous Cell Carcinoma , Humans , Esophageal Squamous Cell Carcinoma/genetics , Esophageal Squamous Cell Carcinoma/pathology , Neoadjuvant Therapy , Esophageal Neoplasms/genetics , Esophageal Neoplasms/therapy , Esophageal Neoplasms/pathology , Transcriptome/genetics , Carcinoma, Squamous Cell/drug therapy , Carcinoma, Squamous Cell/genetics , Carcinoma, Squamous Cell/pathology
The three-dimensional structure of chromatin plays a crucial role in development and disease, both of which are associated with transcriptional changes. However, given the heterogeneity in single-cell chromatin architecture and transcription, the regulatory relationship between the three-dimensional chromatin structure and gene expression is difficult to explain based on bulk cell populations. Here we develop a single-cell, multimodal, omics method allowing the simultaneous detection of chromatin architecture and messenger RNA expression by sequencing (single-cell transcriptome sequencing (scCARE-seq)). Applying scCARE-seq to examine chromatin architecture and transcription from 2i to serum single mouse embryonic stem cells, we observe improved separation of cell clusters compared with single-cell chromatin conformation capture. In addition, after defining the cell-cycle phase of each cell through chromatin architecture extracted by scCARE-seq, we find that periodic changes in chromatin architecture occur in parallel with transcription during the cell cycle. These findings highlight the potential of scCARE-seq to facilitate comprehensive analyses that may boost our understanding of chromatin architecture and transcription in the same single cell.
Chromatin , Chromosomes , Animals , Mice , RNA, Messenger/genetics , Single-Cell Analysis/methods
To understand the characteristics, source apportionment, and regional transport of volatile organic compounds (VOCs) and ozone (O3) in a typical city with severe air pollution in central China, we observed and analyzed 115 VOC species at an urban site in Zhengzhou from 29 July to 26 September 2021. During this period, observation- and emission-based approaches revealed that Zhengzhou was in a VOC-limited regime. The average concentration of total VOCs (TVOCs) was 162.25 ± 71.42 µg/m3, dominated by oxygenated VOCs (OVOCs, 34.49%), alkanes (24.29%), and aromatics (19.49%). Six VOC sources were identified using positive matrix factorization (PMF) model, including paint solvent usage (25.32%), secondary production (24.11%), industrial production (19.22%), vehicle exhaust (16.18%), biogenic emission (8.87%), and combustion (6.30%). To assess the regional contribution and source apportionment of VOCs and O3, Comprehensive Air Quality Model with Extensions (CAMx) with the Ozone Source Apportionment Technology (OSAT) was used for simulation. Results showed that the VOCs were significantly affected by local emissions (about 70%), while O3 was mainly attributed to regional and super-regional transport. Regarding multi-directional regional transport of VOCs and O3, dominant contributions were from the northeast and east-northeast directions, and O3 contributions were also predominantly from the east and east-southeast directions. In terms of source apportionment, the transportation and industrial sectors (including solvent usage) were the major contributors to O3 and VOCs. To alleviate VOCs and O3 pollution, transportation and industrial emission reduction should be strengthened, and regional coordination, especially from the northeast to east-southeast directions, should be emphasized in addition to local management.
Air Pollutants , Ozone , Volatile Organic Compounds , Ozone/analysis , Air Pollutants/analysis , Volatile Organic Compounds/analysis , Environmental Monitoring/methods , Vehicle Emissions/analysis , China , Solvents
OBJECTIVES: The association between sleep pattern and chronic kidney disease (CKD) incidence, and whether the association is dependent on the genetic backgrounds has not been addressed. We sought to investigate the association of multidimensional sleep pattern with CKD in consideration of genetic polymorphisms. METHODS: In this prospective cohort study of 157,175 participants from the UK Biobank, sleep patterns were derived by multiple correspondence analysis (MCA) and k-means clustering of individual sleep traits (sleep duration, insomnia, chronotype, daytime sleepiness, snoring, and night shift status). Cox proportional hazard regression was used to estimate the association between sleep patterns and CKD incidence. Gene-environment-wide interaction study (GEWIS) was performed to detect whether gene polymorphisms were modifiers on this association. RESULTS: Compared with "healthy sleep" pattern, increased CKD incidence was observed in the clusters with "long sleep duration" (hazard ratios (HR) 1.42, 95% confidence intervals (CI), 1.18-1.72) and "night shift" (HR 1.23, 95% CI, 1.05-1.45) patterns, but not with the "short sleep duration" pattern. By GEWIS, we identified 167 SNPs as suggestive effect modifiers that interacted with unhealthy sleep patterns and affected the risk of CKD. CONCLUSIONS: Unhealthy sleep patterns, with features of long sleep duration and night shift, may increase the risk of CKD. The study highlights the interaction of sleep and individual genetic risk to affect health outcomes.
Biological Specimen Banks , Renal Insufficiency, Chronic , Humans , Prospective Studies , Renal Insufficiency, Chronic/epidemiology , Renal Insufficiency, Chronic/genetics , Sleep/genetics , Risk Factors , United Kingdom/epidemiology
MTHFD1L, a key enzyme of folate metabolism, is seldom reported in cancer. In this study, we investigate the role of MTHFD1L in the tumorigenicity of esophageal squamous cell carcinoma (ESCC). ESCC tissue microarrays (TMAs) containing 177 samples from 109 patients were utilized to evaluate whether MTHFD1L expression, determined using immunohistochemical analysis, is a prognostic indicator for ESCC patients. The function of MTHFD1L in the migration and invasion of ESCC cells was studied with wound healing, Transwell, and three-dimensional spheroid invasion assays in vitro and a lung metastasis mouse model in vivo. The mRNA microarrays and Ingenuity pathway analysis (IPA) were used to explore the downstream of MTHFD1L. Elevated expression of MTHFD1L in ESCC tissues was significantly associated with poor differentiation and prognosis. These phenotypic assays revealed that MTHFD1L significantly promote the viability and metastasis of ESCC cell in vivo and in vitro. Further detailed analyses of the molecular mechanism demonstrated that the ESCC progression driven by MTHFD1L was through up-regulation ERK5 signaling pathways. These findings reveal that MTHFD1L is positively associated with the aggressive phenotype of ESCC by activating ERK5 signaling pathways, suggesting that MTHFD1L is a new biomarker and a potential molecular therapeutic target for ESCC.
Esophageal Neoplasms , Esophageal Squamous Cell Carcinoma , Animals , Mice , Esophageal Squamous Cell Carcinoma/pathology , Esophageal Neoplasms/pathology , Cell Line, Tumor , Signal Transduction , Phenotype , Cell Proliferation/genetics , Cell Movement/genetics , Gene Expression Regulation, Neoplastic
AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind that can predict three-dimensional (3D) structures of proteins from amino acid sequences with atomic-level accuracy. Protein structure prediction is one of the most challenging problems in computational biology and chemistry, and has puzzled scientists for 50 years. The advent of AF2 presents an unprecedented progress in protein structure prediction and has attracted much attention. Subsequent release of structures of more than 200 million proteins predicted by AF2 further aroused great enthusiasm in the science community, especially in the fields of biology and medicine. AF2 is thought to have a significant impact on structural biology and research areas that need protein structure information, such as drug discovery, protein design, prediction of protein function, et al. Though the time is not long since AF2 was developed, there are already quite a few application studies of AF2 in the fields of biology and medicine, with many of them having preliminarily proved the potential of AF2. To better understand AF2 and promote its applications, we will in this article summarize the principle and system architecture of AF2 as well as the recipe of its success, and particularly focus on reviewing its applications in the fields of biology and medicine. Limitations of current AF2 prediction will also be discussed.
Artificial Intelligence , Furylfuramide , Proteins , Amino Acid Sequence , Biology
Alkali-producing microorganisms and hydroxyapatite (HAP), a chemical passivation agent, have a certain remediation effect on cadmium (Cd) -contaminated soil. They can decrease the available Cd content in the soil to a certain extent and reduce the overall Cd content of rice planted in the soil. The Cd-contaminated soil was treated with the passivating bacterial agent that had been developed. Changes in the Cd concentration of rice leaves and soil were observed. Real-time PCR was used to analyse the expression levels of Cd transport protein genes in rice. Then, we determined the activities of super-oxide dismutase (SOD), catalase (CAT) and peroxidase (POD) at different stages of rice growth. The results showed that after HAP, alkali-producing microorganisms and passivating microbial agents were applied to the Cd treated soil. The total Cd content in rice leaves was reduced by 66.80%, 80.32% and 81.35%. The expression differences of genes related to Cd transporter proteins were measured, and the results showed that the changes in gene regulation were consistent with the changes in Cd content of rice leaves. The changes in SOD activity, CAT activity and POD activity further indicated that the three enzymes could alleviate the adverse effects of Cd stress by regulating the related enzyme activities in rice. In conclusion, alkali-producing microorganisms, HAP and passivating bacterial agents can effectively reduce the toxicity of Cd to rice, and reduce the absorption and accumulation of Cd in rice leaves.
Oryza , Soil Pollutants , Cadmium/toxicity , Oryza/chemistry , Antioxidants/metabolism , Soil/chemistry , Superoxide Dismutase/genetics , Superoxide Dismutase/metabolism , Alkalies/metabolism , Soil Pollutants/metabolism
BACKGROUND: This study aimed to identify novel associations between irritable bowel syndrome (IBS) and a broad range of outcomes. METHODS: In total, 346,352 white participants in the U.K. Biobank were randomly divided into two halves, in which a genome-wide association study (GWAS) of IBS and a polygenic risk score (PRS) analysis of IBS using GWAS summary statistics were conducted, respectively. A phenome-wide association study (PheWAS) based on the PRS of IBS was performed to identify disease outcomes associated with IBS. Then, the causalities of these associations were tested by both one-sample (individual-level data in U.K. Biobank) and two-sample (publicly available summary statistics) Mendelian randomization (MR). Sex-stratified PheWAS-MR analyses were performed in male and female, separately. RESULTS: Our PheWAS identified five diseases associated with genetically predicted IBS. Conventional MR confirmed these causal associations between IBS and depression (OR: 1.07, 95%CI: 1.01-1.14, p = 0.02), diverticular diseases of the intestine (OR: 1.13, 95%CI: 1.08-1.19, p = 3.00 × 10-6), gastro-esophageal reflux disease (OR: 1.09, 95%CI: 1.05-1.13, p = 3.72 × 10-5), dyspepsia (OR: 1.21, 95%CI: 1.13-1.30, p = 9.28 × 10-8), and diaphragmatic hernia (OR: 1.10, 95%CI: 1.05-1.15, p = 2.75 × 10-5). The causality of these associations was observed in female only, but not men. CONCLUSIONS: Increased risks of IBS is found to cause a series of disease outcomes. Our findings support further investigation on the clinical relevance of increased IBS risks with mental and digestive disorders.
