Recognizing talkers' identity via speech is an important social skill in interpersonal interaction. Behavioral evidence has shown that listeners can identify better the voices of their native language than those of a non-native language, which is known as the language familiarity effect (LFE). However, its underlying neural mechanisms remain unclear. This study therefore investigated how the LFE occurs at the neural level by employing functional near-infrared spectroscopy (fNIRS). Late unbalanced bilinguals were first asked to learn to associate strangers' voices with their identities and then tested for recognizing the talkers' identities based on their voices speaking a language either highly familiar (i.e., native language Chinese), or moderately familiar (i.e., second language English), or completely unfamiliar (i.e., Ewe) to participants. Participants identified talkers the most accurately in Chinese and the least accurately in Ewe. Talker identification was quicker in Chinese than in English and Ewe but reaction time did not differ between the two non-native languages. At the neural level, recognizing voices speaking Chinese relative to English/Ewe produced less activity in the inferior frontal gyrus, precentral/postcentral gyrus, supramarginal gyrus, and superior temporal sulcus/gyrus while no difference was found between English and Ewe, indicating facilitation of voice identification by the automatic phonological encoding in the native language. These findings shed new light on the interrelations between language ability and voice recognition, revealing that the brain activation pattern of the LFE depends on the automaticity of language processing.
While DNA N6-adenine methylation (6mA) is best known in prokaryotes, its presence in eukaryotes has generated great interest recently. Biochemical and genetic evidence supports that AMT1, a MT-A70 family methyltransferase (MTase), is crucial for 6mA deposition in unicellular eukaryotes. Nonetheless, 6mA transmission mechanism remains to be elucidated. Taking advantage of Single Molecule Real-Time Circular Consensus Sequencing (SMRT CCS), here we provide definitive evidence for semiconservative transmission of 6mA in Tetrahymena thermophila In wild-type (WT) cells, 6mA occurs at the self-complementary ApT dinucleotide, mostly in full methylation (full-6mApT); after DNA replication, hemi-methylation (hemi-6mApT) is transiently present on the parental strand, opposite to the daughter strand readily labeled by 5-bromo-2'-deoxyuridine (BrdU). In ΔAMT1 cells, 6mA predominantly occurs as hemi-6mApT. Hemi-to-full conversion in WT cells is fast, robust, and processive, while de novo methylation in ΔAMT1 cells is slow and sporadic. In Tetrahymena, regularly spaced 6mA clusters coincide with linker DNA of nucleosomes arrayed in the gene body. Importantly, in vitro methylation of human chromatin by reconstituted AMT1 complex recapitulates preferential targeting of hemi-6mApT sites in linker DNA, supporting AMT1's intrinsic and autonomous role in maintenance methylation. We conclude that 6mA is transmitted by a semiconservative mechanism: full-6mApT is split by DNA replication into hemi-6mApT, which is restored to full-6mApT by AMT1-dependent maintenance methylation. Our study dissects AMT1-dependent maintenance methylation and AMT1-independent de novo methylation, reveals a 6mA transmission pathway with striking similarity to 5-methyl cytosine (5mC) transmission at the CpG dinucleotide, and establishes 6mA as a bona fide eukaryotic epigenetic mark.
Owing to intentional interference and destructions during satellite navigation countermeasures, the security application of global navigation satellite systems (GNSS) faces immense challenges. To ensure the safe application of the GNSS in complex electromagnetic environment, the system-level defensive capability need be assessed, which can make for maintaining GNSS normal service during countering and further realizing the optimal decision. Therefore, this study used the ground control segment in the GNSS as the evaluation object, the bottom indices related to the criterion layers including service performance and station function as the key evaluation indices, and the technical requirement of each index under a secure situation as the standard, to propose the evaluation system including index system and evaluation methods for the ground-segment defensive capability. As BeiDou navigation satellite system III (BDS-3) is a global navigation satellite system independently built and operated by China, it was taken as a case for method verification. Then, BDS-3 two-way observation data between the satellite and the ground and between stations, which was collected from Beijing flight Control Center, from March 5 to 12 (2022) were selected during tests, and the results were compared with the existing standards contained in BDS open service performance standard to evaluate the system-level defensive capability. Evaluation Results of positioning accuracy and error correction ability for the BDS-3's ground stations determined through seven damage experiments with different interference strength show that: Corresponding horizontal and vertical positioning accuracy of stations under test did not exceed 1 m in the statistical period and their convergence time did not exceed the limit (30 min); thus, the ground segment of the BDS-3 has a good defensive capability. Compared to comprehensive evaluation results of the BDS-3, based on the theoretical threshold (the ground-segment threshold ≤48.40 % and the space-segment threshold ≤51.60 %), we know that its ground-segment defense (14.06 %) was worse than GPS ground-segment defense (14.43 %), whereas the ground-segment defense of the BDS/GPS integrated system (15.29 %) was best and its capability evaluation grade was strong. They indicate system's future improvements should focus more on enhancing the development scale and service efficiency of the BDS-3's ground stations in the Western Hemisphere, and reasonably promote system compatibility and interoperability while considering facility cost and operating efficiency.
BACKGROUND: The impact of COVID-19 on reproductive health is controversial. The association between female SARS-CoV-2 infection and laboratory and pregnancy outcomes following subsequent in vitro fertilization (IVF) treatment remains unclear. This study aimed to investigate the relationship between IVF treatment at different time intervals after SARS-CoV-2 infection and reproductive outcomes. METHODS: A prospective cohort study of 920 IVF cycles post-SARS-CoV-2 infection was conducted. Modified Poisson regression and logistic regression models were utilized to evaluate oocyte- and embryo-related outcomes as well as clinical outcomes. Stratified analyses were also performed based on the vaccination status of the female participants. RESULTS: SARS-CoV-2 infection within three months was associated with reduced available [Adjusted RR (aRR): 0.96, 95 %CI: 0.91-1.00] and top-quality embryos (aRR: 0.90, 95 %CI: 0.83-0.98) in subsequent IVF treatment. Among patients failing to finish the three-dose vaccination, the interval between SARS-CoV-2 infection and cycle initiation of less than 90 days was associated with a lower number of oocytes retrieval (aRR: 8.81, 95 %CI: 8.24-9.41 vs aRR: 9.64, 95 %CI: 9.06-10.25), available embryos (aRR: 0.93, 95 %CI: 0.88-0.99), and top-quality embryos (aRR: 0.81, 95 %CI: 0.72-0.91) rather than among fully vaccinated women. Moreover, COVID-19 infection was not associated with biochemical pregnancy, clinical pregnancy, embryo implantation, and early abortion either in fresh embryo transfer (ET) or frozen ET. CONCLUSIONS: This study indicated that initiating IVF treatment within 90 days of SARS-CoV-2 infection might reduce the likelihood of obtaining available and top-quality embryos, especially among those who had not completed the three-dose vaccination. Nevertheless, female COVID-19 infection did not affect pregnancy or early abortion. Further rigorously designed studies are required to support these findings.
Common genetic variants and susceptibility loci associated with Alzheimer's disease (AD) have been discovered through large-scale genome-wide association studies (GWAS), GWAS by proxy (GWAX) and meta-analysis of GWAS and GWAX (GWAS+GWAX). However, due to the very low repeatability of AD susceptibility loci and the low heritability of AD, these AD genetic findings have been questioned. We summarize AD genetic findings from the past 10 years and provide a new interpretation of these findings in the context of statistical heterogeneity. We discovered that only 17% of AD risk loci demonstrated reproducibility with a genome-wide significance of P < 5.00E-08 across all AD GWAS and GWAS+GWAX datasets. We highlighted that the AD GWAS+GWAX with the largest sample size failed to identify the most significant signals, the maximum number of genome-wide significant genetic variants or maximum heritability. Additionally, we identified widespread statistical heterogeneity in AD GWAS+GWAX datasets, but not in AD GWAS datasets. We consider that statistical heterogeneity may have attenuated the statistical power in AD GWAS+GWAX and may contribute to explaining the low repeatability (17%) of genome-wide significant AD susceptibility loci and the decreased AD heritability (40-2%) as the sample size increased. Importantly, evidence supports the idea that a decrease in statistical heterogeneity facilitates the identification of genome-wide significant genetic loci and contributes to an increase in AD heritability. Collectively, current AD GWAX and GWAS+GWAX findings should be meticulously assessed and warrant additional investigation, and AD GWAS+GWAX should employ multiple meta-analysis methods, such as random-effects inverse variance-weighted meta-analysis, which is designed specifically for statistical heterogeneity.
Alzheimer Disease , Genetic Predisposition to Disease , Genome-Wide Association Study , Alzheimer Disease/genetics , Humans , Genome-Wide Association Study/methods , Polymorphism, Single Nucleotide , Genetic Heterogeneity
BACKGROUND: Estrogen receptor (ER) positive human epidermal growth factor receptor 2 (HER2) negative breast cancer (ER+/HER2-BC) and triple-negative breast cancer (TNBC) are two distinct breast cancer molecular subtypes, especially in tumor immune microenvironment (TIME). The TIME of TNBC is considered to be more inflammatory than that of ER+/HER2-BC. Natural killer (NK) cells are innate lymphocytes that play an important role of tumor eradication in TME. However, studies focusing on the different cell states of NK cells in breast cancer subtypes are still inadequate. METHODS: In this study, single-cell mRNA sequencing (scRNA-seq) and bulk mRNA sequencing data from ER+/HER2-BC and TNBC were analyzed. Key regulator of NK cell suppression in ER+/HER2-BC, S100A9, was quantified by qPCR and ELISA in MCF-7, T47D, MDA-MB-468 and MDA-MB-231 cell lines. The prognosis predictability of S100A9 and NK activation markers was evaluated by Kaplan-Meier analyses using TCGA-BRAC data. The phenotype changes of NK cells in ER+/HER2-BC after overexpressing S100A9 in cancer cells were evaluated by the production levels of IFN-gamma, perforin and granzyme B and cytotoxicity assay. RESULTS: By analyzing scRNA-seq data, we found that multiple genes involved in cellular stress response were upregulated in ER+/HER2-BC compared with TNBC. Moreover, TLR regulation pathway was significantly enriched using differentially expressed genes (DEGs) from comparing the transcriptome data of ER+/HER2-BC and TNBC cancer cells, and NK cell infiltration high/low groups. Among the DEGs, S100A9 was identified as a key regulator. Patients with higher expression levels of S100A9 and NK cell activation markers had better overall survival. Furthermore, we proved that overexpression of S100A9 in ER+/HER2-cells could improve cocultured NK cell function. CONCLUSION: In conclusion, the study we presented demonstrated that NK cells in ER+/HER2-BC were hypofunctional, and S100A9 was an important regulator of NK cell function in ER+BC. Our work contributes to elucidate the regulatory networks between cancer cells and NK cells and may provide theoretical basis for novel drug development.
Breast Neoplasms , Calgranulin B , Killer Cells, Natural , Receptors, Estrogen , Humans , Killer Cells, Natural/immunology , Killer Cells, Natural/metabolism , Female , Calgranulin B/genetics , Calgranulin B/metabolism , Receptors, Estrogen/metabolism , Breast Neoplasms/immunology , Breast Neoplasms/genetics , Breast Neoplasms/metabolism , Breast Neoplasms/pathology , Tumor Microenvironment/immunology , Triple Negative Breast Neoplasms/immunology , Triple Negative Breast Neoplasms/metabolism , Triple Negative Breast Neoplasms/genetics , Triple Negative Breast Neoplasms/pathology , Prognosis , Cell Line, Tumor , Gene Expression Regulation, Neoplastic
BACKGROUND: To explore the correlation of pre-treatment Hemoglobin-Albumin-Lymphocyte-Platelet (HALP) score with the prognosis of patients with advanced Non-Small Cell Lung Cancer (NSCLC) undergoing first-line conventional platinum-based chemotherapy. METHODS: In this retrospective cohort study, 203 patients with advanced NSCLC were recruited from January 2017 to December 2021. The cut-off value for the HALP score was determined by Receiver Operating Characteristic (ROC) curve analysis. The baseline characteristics and blood parameters were recorded, and the Log-rank test and Kaplan-Meier curves were applied for the survival analysis. In the univariate and multivariate analyses, the Cox regression analysis was carried out. The predictive accuracy and discriminative ability of the nomogram were determined by the Concordance index (C-index) and calibration curve and compared with a single HALP score by ROC curve analysis. RESULTS: The optimal cut-off value for the HALP score was 28.02. The lower HALP score was closely associated with poorer Progression-Free Survival (PFS) and Overall Survival (OS). The male gender and other pathological types were associated with shorter OS. Disease progression and low HALP were correlated with shorter OS and PFS. In addition, nomograms were established based on HALP scores, gender, pathology type and efficacy rating, and used to predict OS. The C-index for OS prediction was 0.7036 (95% CI 0.643 to 0.7643), which was significantly higher than the C-index of HALP at 6-, 12-, and 24-months. CONCLUSION: The HALP score is associated with the prognosis of advanced NSCLC patients receiving conventional platinum-based chemotherapy, and the nomogram established based on the HALP score has a better predictive capability for OS.
Objective: The reliability of clinical evidence depends on high-quality meta-analyses/ systematic reviews (MAs/SRs). However, there has been no assessment of the quality of MAs/SRs for repetitive transcranial magnetic stimulation (rTMS) in post-stroke cognitive impairment (PSCI), both nationally and internationally. This article seeks to use radar plotting to visually present the quality of MAs/SRs on rTMS for improving cognitive function in PSCI, aiming to offer an intuitive foundation for clinical research. Methods: Eight Chinese or English databases were systematically searched to collect comprehensive literature, and the retrieval time ranged from inception to 26 March 2024. Literature ranking was calculated using six dimensions: publication year, design type, AMSTAR-2 score, PRISMA score, publication bias, and homogeneity. Finally, radar plots were drafted to present a multivariate literature evaluation. The GRADE tool assessed the strength of evidence for the outcome indicators included in the MAs/SRs. Results: The 17 articles included had average scores of 12.29, 17, 9.88, 9.71, 12.88, and 12.76 for each dimension. The radar plot showed that an article published in 2023 had the highest rank and a large radar plot area, while an article published in 2021 had the lowest rank and a small radar plot area. The GRADE tool evaluation revealed that 51 pieces of evidence were of very low quality, 67 were of low quality, 12 were of moderate quality, and only one was of high quality. Conclusion: The average rank score of literature ranged from 8.50 to 17, with higher rankings indicating greater significance in literature reference. Variations in literature quality were attributed to inadequate study planning, irregular literature search and screening, insufficient description of inclusion criteria for studies, and inadequate consideration of bias risk in the included studies. Most MAs/SRs indicated that rTMS was more effective than the control group in enhancing the global cognitive function and activities of daily living in PSCI patients. However, the overall quality of the literature was generally low and needs validation from future high-quality evidence.Systematic review registration:https://www.crd.york.ac.uk/prospero/, identifier CRD42023491280.
BACKGROUND: Caenorhabditis elegans is a widely used model animal. Chemotaxis assay is one of the experiments that study the effects of different chemicals on nematodes. It is mainly used to study the effects of different chemicals on the perception behavior of nematodes. By conducting this experiment, not only can the neurotoxicity of chemicals be reflected, but also the impact of chemicals on physiological functions regulated by the nervous system, such as nematode feeding behavior and basic motor ability. OBJECTIVE: The experiment of detecting the response of nematode to chemicals is also a common method of chemical toxicity testing based on nematode models. In the analysis of worm tendency behavior, manual operations are generally used. Manually processing a large number of worms under a microscope is very time-consuming and labor-intensive. The current quantitative methods for nematode chemotaxis experiments are not only time-consuming and labor-intensive, but also biased in experimental results due to differences in judgment standards among experimenters. The automatic and efficient quantification method for nematode chemotaxis experiments is a very important technical difficulty in the field of nematode experiments. METHODS: Here, we have designed an automatic quantification method for nematode chemotaxis experiments by incorporating image acquisition and processing techniques into the nematode experiment. RESULTS: The experimental results show that the Pearson correlation coefficient between manual and automatic counting results is 0.978. CONCLUSION: This proves the effectiveness of our method. Applying the automatic measurement method to replace manual counting by the experimenter can improve work efficiency, and reduce errors in human counting operations.
Diabetic retinopathy (DR) is established as the primary cause of visual impairment and preventable blindness, posing significant social and economic burdens on healthcare systems worldwide. Oxidative stress has been identified as a major contributor to DR, yet the precise role of the transmembrane glycoprotein CD200R in this context remains elusive. We studied human retinal pigment epithelia ARPE-19 cells to investigate the role of CD200R in high-glucose (HG) induced oxidative stress. Under HG conditions, we found a significant increase in CD200R expression in a time-dependent pattern. Conversely, knockdown of CD200R effectively alleviated oxidative stress and restored cell viability in HG-treated ARPE-19 cells, a phenomenon corroborated by the addition of a reactive oxygen species (ROS) scavenger. Exploration of the AKT/mTOR signaling pathway confirmed its mediating role regarding CD200R knockdown suppression of the expression of key proteins induced by HG conditions. Additionally, we found that the inhibition of mTOR signaling with Rapamycin effectively countered HG-induced oxidative stress in ARPE-19 cells, suggesting a promising therapeutic target against oxidative stress in the context of DR. This study establishes the crucial role of CD200R in HG-induced oxidative stress and identifies potential therapeutic avenues for the treatment of DR.
we developed an effective protein precipitation method for determination of levamlodipine in human plasma using LC-MS/MS. Sample extraction was carried out by using liquid-liquid extraction in 96-well plate format. (S)-Amlodipine-d4 was used as internal standard (IS). The chromatographic separation was achieved using Philomen Chiral MX (2) column (3 µm, 2.1 × 100 mm). Mobile phase A was comprised of Acetonitrile (ACN), Mono ethanol amine (MEA) and Iso-Propyl alcohol (IPA) (1000:1:10, v/v/v), Mobile phase B was IPA-ACN (2:1, v/v). The flow rate was 0.4 mL/min. The total run time of each sample was 4.0 min with gradient elution. LC-MS/MS spectra were generated in positive ion mode, and multiple reaction monitoring (MRM) was used to detect the following transitions: m/z 409.20 â 238.15 for levamlodipine and 415.25 â 240.20 for (S)-Amlodipine-d4 (the IS). The method was linear from 50 to 10000 pg/mLï¼R2ï¼0.9988489ï¼,and the lower limit of quantification (LLOQ) was 50 pg/mL. This method was applied to a bioequivalence study of levamlodipine.
Niacin/analogs & derivatives , Tandem Mass Spectrometry , Humans , Tandem Mass Spectrometry/methods , Chromatography, Liquid/methods , Dihydropyridines/blood , Dihydropyridines/pharmacokinetics , Dihydropyridines/chemistry , Liquid-Liquid Extraction , Limit of Detection , Amlodipine/blood , Amlodipine/pharmacokinetics , Liquid Chromatography-Mass Spectrometry
BACKGROUND AND AIMS: Obesity is a chronic disease which can cause severe metabolic disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to be useful in obesity research. However, there is a dearth of systematic reviews of DL applications in obesity. This article aims to summarize the current trend of DL usage in obesity research. METHODS: An extensive literature review was carried out across multiple databases, including PubMed, Embase, Web of Science, Scopus, and Medline, to collate relevant studies published from January 2018 to September 2023. The focus was on research detailing the application of DL in the context of obesity. We have distilled critical insights pertaining to the utilized learning models, encompassing aspects of their development, principal results, and foundational methodologies. RESULTS: Our analysis culminated in the synthesis of new knowledge regarding the application of DL in the context of obesity. Finally, 40 research articles were included. The final collection of these research can be divided into three categories: obesity prediction (n = 16); obesity management (n = 13); and body fat estimation (n = 11). CONCLUSIONS: This is the first review to examine DL applications in obesity. It reveals DL's superiority in obesity prediction over traditional ML methods, showing promise for multi-omics research. DL also innovates in obesity management through diet, fitness, and environmental analyses. Additionally, DL improves body fat estimation, offering affordable and precise monitoring tools. The study is registered with PROSPERO (ID: CRD42023475159).
OBJECTIVE: Acculturation stress can negatively impact Latinos immigrant mental and physical health related behaviors such as smoking. It is essential to have validated and updated instruments that allow the evaluation of acculturation stress on this population. This study aims to evaluate the psychometric properties of an abbreviated version of the Hispanic Stress Inventory Version 2 (HSI2) immigration scale among Latinos who smoke. METHODS: The study consisted of a secondary data analysis from a baseline assessment of Decídetexto, a mobile health (mHealth) smoking cessation randomized clinical trial. Of 457 Latinos included in the parent study, 352 immigrants who smoke were included. Construct validity was analyzed by completing a Pearson correlation coefficient matrix. Structural validity was analyzed using an Exploratory Factor Analysis (EFA). Cronbach alpha analysis was used to estimate the internal consistency of the items constituting a factor. RESULTS: The results included an abbreviated version of the HSI2 including 52 items. From the Pearson correlation coefficient matrix with a cutoff point of 0.4, 22 of the 52 items were excluded. From the Pearson correlation coefficient matrix with a cutoff point of 0.4, 22 items were excluded. Exploratory Factor Analysis (EFA) results in six factors extracted, explaining 69.1% of the variance. According to the EFA, two items were relocated in different factors from the original scale. The HSI2 30 items scale reflected excellent reliability with a Cronbach's alpha coefficient of 0.93. The six factors reflect acceptable to excellent reliability, ranging from 0.77-0.93 across factors. The median for the HSI2 total score was 34.00 (25-45) out of a possible total score of 150. CONCLUSION: Results confirmed acceptable psychometric properties of the HSI2 simplified 30-item version and provided a reliable and shorter measure of acculturation stress for Latinos groups. Having a valid and reduced measure of acculturation stress is the first step in understanding diverse ethnic groups of Latinos that are at higher risk of presenting health risk behaviors such as smoking. The present results provided the possibility of assessing the impact of acculturation stress among adults who smoke.
Hispanic or Latino , Psychometrics , Smoking , Adult , Humans , Hispanic or Latino/psychology , Psychometrics/methods , Reproducibility of Results , Smoking/psychology , Surveys and Questionnaires
Alzheimer's disease is a neurodegenerative disorder characterized by the presence of neurodegenerative lesions and cognitive impairment. In this study, a series of novel palmatine derivatives were designed and synthesized through the introduction of a heteroatom using carbodiimide-mediated condensation. The synthesized compounds were then screened for toxicity and potency, leading to the identification of compound 2q, which exhibited low toxicity and high potency. Our findings demonstrated that compound 2q displayed significant neuroprotective activity in vitro, emerging as a promising candidate for Alzheimer's disease treatment.
Cardiac hypertrophy is the most prevalent compensatory heart disease that ultimately leads to spontaneous heart failure. Mounting evidence suggests that microRNAs (miRs) and endogenous hydrogen sulfide (H2S) play a crucial role in the regulation of cardiac hypertrophy. In this study, we aimed to investigate whether inhibition of miR-27a could protect against cardiac hypertrophy by modulating H2S signaling. We established a model of cardiac hypertrophy by obtaining hypertrophic tissue from mice subjected to transverse aortic constriction (TAC) and from cells treated with angiotensin-II. Molecular alterations in the myocardium were quantified using quantitative real time PCR (qRT-PCR), Western blotting, and ELISA. Morphological changes were characterized by hematoxylin and eosin (HE) staining and Masson's trichrome staining. Functional myocardial changes were assessed using echocardiography. Our results demonstrated that miR-27a levels were elevated, while H2S levels were reduced in TAC mice and myocardial hypertrophy. Further luciferase and target scan assays confirmed that cystathionine-γ-lyase (CSE) was a direct target of miR-27a and was negatively regulated by it. Notably, enhancement of H2S expression in the heart was observed in mice injected with recombinant adeno-associated virus vector 9 (rAAV9)-anti-miR-27a and in cells transfected with a miR-27a inhibitor during cardiac hypertrophy. However, this effect was abolished by co-transfection with CSE siRNA and the miR-27a inhibitor. Conversely, injecting rAAV9-miR-27a yielded opposite results. Interestingly, our findings demonstrated that glucagon-like peptide-1 (GLP-1) agonists could mitigate myocardial damage by down-regulating miR-27a and up-regulating CSE. In summary, our study suggests that inhibition of miR-27a holds therapeutic promise for the treatment of cardiac hypertrophy by increasing H2S levels. Furthermore, our findings unveil a novel mechanism of GLP-1 agonists involving the miR-27a/H2S pathway in the management of cardiac hypertrophy.
Aortic Valve Stenosis , Heart Failure , MicroRNAs , Animals , Mice , Cardiomegaly/genetics , Glucagon-Like Peptide 1 , MicroRNAs/genetics , Cystathionine gamma-Lyase
Proximal femoral fracture segmentation in computed tomography (CT) is essential in the preoperative planning of orthopedic surgeons. Recently, numerous deep learning-based approaches have been proposed for segmenting various structures within CT scans. Nevertheless, distinguishing various attributes between fracture fragments and soft tissue regions in CT scans frequently poses challenges, which have received comparatively limited research attention. Besides, the cornerstone of contemporary deep learning methodologies is the availability of annotated data, while detailed CT annotations remain scarce. To address the challenge, we propose a novel weakly-supervised framework, namely Rough Turbo Net (RT-Net), for the segmentation of proximal femoral fractures. We emphasize the utilization of human resources to produce rough annotations on a substantial scale, as opposed to relying on limited fine-grained annotations that demand a substantial time to create. In RT-Net, rough annotations pose fractured-region constraints, which have demonstrated significant efficacy in enhancing the accuracy of the network. Conversely, the fine annotations can provide more details for recognizing edges and soft tissues. Besides, we design a spatial adaptive attention module (SAAM) that adapts to the spatial distribution of the fracture regions and align feature in each decoder. Moreover, we propose a fine-edge loss which is applied through an edge discrimination network to penalize the absence or imprecision edge features. Extensive quantitative and qualitative experiments demonstrate the superiority of RT-Net to state-of-the-art approaches. Furthermore, additional experiments show that RT-Net has the capability to produce pseudo labels for raw CT images that can further improve fracture segmentation performance and has the potential to improve segmentation performance on public datasets. The code is available at: https://github.com/zyairelu/RT-Net.
INTRODUCTION: The distribution of common subtypes of hepatitis C virus (HCV) in Gansu province were analyzed. This information provided a theoretical basis for the selection of appropriate antiviral treatment regimens. METHODOLOGY: We collected data on HCV antibody screening tests from 421,802 outpatients and inpatients at the Second Clinical Hospital of Lanzhou University from January 2018 to June 2022. Ribonucleic acid (RNA) viral load, HCV genotypes, and HCV quantification were analyzed retrospectively. The results of HCV positive detection rate, copy number, and genotype distribution were statistically analysed using SPSS 26.0. RESULTS: A total of 421,802 HCV antibody screenings were performed resulting in 4,558 positive cases (1.081%). In addition, 2,345 cases (1.302%) were positive with quantitative HCV antibodies in 180,157 outpatients and inpatients. Quantitative HCV virus RNA was further measured in 2592 outpatients and inpatients. There were 825 positive cases for HCV, with a positivity rate of 31.83%. High-sensitivity quantification of HCV-RNA was performed in 6538 patients, among which 1336 were HCV-RNA positive infections (positivity rate of 20.43%). Among the 1484 genotype tests, 4 genotypes and 10 subtypes were detected, including 4a, 1b, 2a, 2b, 3a, 3b, 6a, 6n, 1b/2a, and 2a/6a, with the majority of results from 2a (51.89%) and 1b (42.72%). CONCLUSIONS: The most prevalent genetic subtype in HCV-positive patients in Gansu was 2a, followed by 1b. In addition, 8 genotype subtypes appeared: 1a, 2b, 3a, 3b, 6a, 6n, 1b/2a and 2a/6a. Understanding the distribution of HCV genes in Gansu province is of significance for the optimization of virus treatment.
Hepacivirus , Hepatitis C , Humans , Hepacivirus/genetics , Genotype , Retrospective Studies , Hepatitis C/epidemiology , RNA , China/epidemiology , Hepatitis C Antibodies
Patients suffering from sepsis-induced acute lung injury (ALI) exhibit a high mortality rate, and their prognosis is closely associated with infiltration of neutrophils into the lungs. In this study, we found a significant elevation of CD64+ neutrophils, which highly expressed p75 neurotrophin receptor (p75NTR) in peripheral blood of mice and patients with sepsis-induced ALI. p75NTR+CD64+ neutrophils were also abundantly expressed in the lung of ALI mice induced by lipopolysaccharide. Conditional knock-out of the myeloid lineage's p75NTR gene improved the survival rates, attenuated lung tissue inflammation, reduced neutrophil infiltration and enhanced the phagocytic functions of CD64+ neutrophils. In vitro, p75NTR+CD64+ neutrophils exhibited an upregulation and compromised phagocytic activity in blood samples of ALI patients. Blocking p75NTR activity by soluble p75NTR extracellular domain peptide (p75ECD-Fc) boosted CD64+ neutrophils phagocytic activity and reduced inflammatory cytokine production via regulation of the NF-κB activity. The findings strongly indicate that p75NTR+CD64+ neutrophils are a novel pathogenic neutrophil subpopulation promoting sepsis-induced ALI.
Acute Lung Injury , Mice, Inbred C57BL , Neutrophils , Phagocytosis , Receptors, IgG , Receptors, Nerve Growth Factor , Sepsis , Animals , Acute Lung Injury/immunology , Acute Lung Injury/etiology , Neutrophils/immunology , Neutrophils/metabolism , Sepsis/immunology , Sepsis/complications , Humans , Receptors, IgG/metabolism , Receptors, IgG/genetics , Receptors, IgG/immunology , Mice , Male , Phagocytosis/immunology , Receptors, Nerve Growth Factor/metabolism , Receptors, Nerve Growth Factor/genetics , Receptors, Nerve Growth Factor/immunology , Mice, Knockout , Lipopolysaccharides , Cytokines/metabolism , Cytokines/immunology , Lung/immunology , Lung/pathology , Female , NF-kappa B/metabolism , NF-kappa B/immunology , Nerve Tissue Proteins
BACKGROUND: A solitary plasmacytoma is classified into a solitary plasmacytoma of the bone (SBP) and a solitary extramedullary (soft tissue mass) plasmacytoma, based on the site of the lesion. Despite the high local control rate with radiotherapy, approximately half of patients' conditions progress to multiple myeloma (MM) within 3-5 years after diagnosis, with SBP having a worse prognosis. PATIENTS AND METHODS: We retrospectively assessed the treatment and outcomes of patients with SBP in a hospital in China from 2008 to 2021. Twenty-four patients treated over 13 years with SBP were enrolled in this retrospective study. RESULTS: The most common sites for SBP were the axial skeleton and femur. The M protein was detected in 11 patients (46 %), of which 8 (33 %) had light chains, 2 (8 %) had immunoglobulin G kappa and 1 (4 %) had immunoglobulin D kappa. Flow cytometry revealed that 5 patients (21 %) had minimal bone marrow involvement. The treatment included chemotherapy, surgery, and radiotherapy in 18 (75 %), 12 (50 %), and 9 (38 %) patients, respectively, of whom 13 (54 %) received combined treatment. Over a median follow-up period of 67.2 months, 9 patients (38 %) developed MM in a median time of 101.5 months. The 5- and 10-year progression-free survival rates were 67.3 % and 37.4 %, respectively. One patient died due to pneumonia without progression and the other died due to relapse. CONCLUSION: This study confirmed the high rate of progression of SBP to MM, indicating a need for adjunct chemotherapy for the management of SBP.
Species interactions such as facilitation and competition play a crucial role in driving species range shifts. However, density dependence as a key feature of these processes has received little attention in both empirical and modelling studies. Herein, we used a novel, individual-based treeline model informed by rich in situ observations to quantify the contribution of density-dependent species interactions to alpine treeline dynamics, an iconic biome boundary recognized as an indicator of global warming. We found that competition and facilitation dominate in dense versus sparse vegetation scenarios respectively. The optimal balance between these two effects was identified at an intermediate vegetation thickness where the treeline elevation was the highest. Furthermore, treeline shift rates decreased sharply with vegetation thickness and the associated transition from positive to negative species interactions. We thus postulate that vegetation density must be considered when modelling species range dynamics to avoid inadequate predictions of its responses to climate warming.
Ecosystem , Trees , Trees/physiology , Global Warming , Climate Change , Climate
