Distribution Of Types Research Articles

Cessation vs. no cessation of acetylsalicylic acid preoperatively in laparoscopic totally extraperitoneal inguinal hernia repair (CAPTAIN): interim report from a multicentre, single-blind, randomised controlled trial.

Given the increasing prevalence of antiplatelet agent use and the lack of high-quality evidence, the CAPTAIN trial aimed to investigate the safety and provide recommendations on continuing acetylsalicylic acid perioperatively in patients undergoing elective laparoscopic totally extraperitoneal inguinal hernia repair (LIHR). The CAPTAIN trial was a multicentre, surgeon blind, randomized controlled trial conducted from April 2016 to April 2023. Patients undergoing LIHR were eligible for inclusion. Participants were randomized to either the acetylsalicylic acid cessation group or the continued acetylsalicylic acid group. The primary endpoint was the incidence of hematoma formation at discharge. After a total of 69 patients were randomized, four patients dropped out, leaving 35 patients in the acetylsalicylic acid cessation group and 30 in the continued acetylsalicylic acid group. The baseline characteristics of both groups were similar. While the distribution of hernia types was largely comparable, there were significantly more direct inguinal hernias in the continued acetylsalicylic acid group (p < 0.001). The primary outcome, hematoma formation at discharge, was similar between groups (3.3% vs. 2.9%, p = 1.000). Secondary outcomes, including wound bruising, post-discharge hematomas, pain, seroma formation, wound infection rates, and length of hospital stay, did not differ significantly between groups. No thromboembolic complications, readmissions, chronic pain, or recurrences were observed during follow-up in either group. This study found that it is safe to continue acetylsalicylic acid perioperatively in selected patients undergoing LIHR without an increased risk of complications.

Tissue-resident memory CD8 T cell diversity is spatiotemporally imprinted.

Tissue-resident memory CD8 T (TRM) cells provide protection from infection at barrier sites. In the small intestine, TRM cells are found in at least two distinct subpopulations: one with higher expression of effector molecules and another with greater memory potential1. However, the origins of this diversity remain unknown. Here we proposed that distinct tissue niches drive thephenotypic heterogeneityof TRM cells. To test this, we leveraged spatial transcriptomics of human samples, a mouse model of acute systemic viral infection and a newly established strategy for pooled optically encoded gene perturbations to profile the locations, interactions and transcriptomes of pathogen-specific TRM cell differentiation at single-transcript resolution. We developed computational approaches to capture cellular locations along three anatomical axes of the small intestine and to visualize the spatiotemporal distribution of cell types and gene expression. Our study reveals that the regionalized signalling of the intestinal architecture supports two distinct TRM cell states: differentiated TRM cells and progenitor-like TRM cells, located in the upper villus and lower villus, respectively. This diversity is mediated by distinct ligand-receptor activities, cytokine gradients and specialized cellular contacts. Blocking TGFβ or CXCL9 and CXCL10 sensing by antigen-specific CD8 T cells revealed a model consistent with anatomicallydelineated, early fate specification. Ultimately, our framework for the study of tissue immune networks reveals that T cell location and functional state are fundamentally intertwined.

First Report of HPV Genotyping and Distribution in People Living with and Without HIV from Iran and the Middle East.

In people living with human immune deficiency (PLHIV), the rates of human papillomavirus (HPV) infection, mixed types, and high-risk (HR) strains increase, while the virus clearance is prevented. Here, we report HPV genotyping in PLHIVs from Iran and the Middle East region for the first time. HPV genotyping in referring individuals from different provinces to our laboratory was evaluated over 2023-2024. For this, the HPV types in specimens were detected through the INNO- LiPA HPV genotyping kit. Statistical analysis was conducted with a 95% confidence interval (95%CI) and P < 0.05. Accordingly, 481 subjects from various provinces participated in this study. The rate of HPV infection was 45.7%, of which 14% were HIV-infected women referred from all provinces. The most prevalent types included 6, 51, and 18, but not 16 HR types. Mixed infections in dually infected women were significantly more than in HPV-infected ones. The HPV+/HIV+ subgroup had the lowest median age. The prevalence of HPV types and mixed infection in PLHIVs was congruent with the previous reports, except for the low rate of type 16 infection, perhaps due to the healthy nature of our subjects. Only HIV+/HPV+ cases' age was similar to the previous reports, perhaps because of sample collection and study designs. Among all factors, age and gender affected the HPV type distribution notably. The current study corroborated the results of many prior reports, demonstrating the considerable impact of HIV status on HPV distribution. The authors recommend implementing a national HPV vaccination and more comprehensive reports of HPV genotyping in PLHIVs.

Exploratory profiling of metabolites in cerebrospinal fluid using a commercially available targeted LC-MS based metabolomics kit to discriminate leptomeningeal metastasis

BackgroundLeptomeningeal metastasis (LM) is a devastating complication of cancer that is difficult to treat. Thus, early diagnosis is essential for LM patients. However, cerebrospinal fluid (CSF) cytology has low sensitivity, and imaging approaches are ineffective. We explored targeted CSF metabolic profiling to discriminate among LM and other conditions affecting the central nervous system (CNS).MethodsWe quantitatively measured amino acids, biogenic amines, hexoses, acylcarnitines (AC), cholesteryl esters (CE), glycerides, phosphatidylcholines (PC), lysophosphatidylcholines (LPC), sphingomyelins (SM), and ceramides (Cer) in 117 CSF samples from various groups of healthy controls (HC, n = 10), patients with LM (LM, n = 47), parenchymal brain tumor (PBT, n = 45), and inflammatory disease (ID, n = 13) with internal standards using the Absolute IDQ- p400® targeted mass spectrometry kit. Metabolites detected in > 90% of samples or showing a difference in proportional level between groups ≥ 75% were used in logistic regression models when there was no single metabolite with AUC = 1 for the groups of comparison.ResultsPC and SM had higher levels in LM than in PBT or HC, whereas LPC had lower level in PBT than the other groups. Glycerides and Cer levels were higher in PBT and LM than in HC. Long-chain AC level in PBT was lower than in LM or HC. A regression model including Ala, PC (42:7), PC (30:3), PC (37:0), and Tyr achieved complete discrimination (AUC = 1.0) between LM and HC. In comparison of PBT and HC, twenty-six individual metabolites allowed complete discrimination between two groups, and between ID and HC fourty-six individual lipid metabolites allowed complete discrimination. Twenty-one individual metabolites (18 ACs and 3 PCs) allowed complete discrimination between LM and PBT.ConclusionsUsing a commercial targeted liquid chromatography-mass spectrometry (LC-MS) metabolomics kit, we were able to differentiate LM from HC and PBT. Most of the discriminative metabolites among different diseases were lipid metabolites, for which their CNS distribution and quantification in different cell types are largely unknown, whereas amino acids, biogenic amines, and hexoses failed to show significant differences. Future validation studies with larger, controlled cohorts should be performed, and hopefully, the kit may expand its metabolite coverage for unique cancer cell glucose metabolism.

Comparison of Asymptomatic Brain Lesions Between Thalassemia Major and Sickle Cell Anemia Patients.

Background and Objectives: This study aimed to identify asymptomatic brain lesions in patients with β-thalassemia major (TM) and sickle cell anemia (SCA) and evaluate the correlation of these lesions with factors such as splenectomy, thrombocytosis, and blood transfusions. Materials and Methods: A total of 26 patients with thalassemia major and 23 patients with sickle cell anemia were included. Ischemic lesions were categorized as lacunar, small vessel, or multifocal. Variables including age, years of education, presence and type of MRI-detected ischemia, smoking status, hemoglobin, hematocrit, platelet count, ferritin levels, vitamin B12 levels, fasting blood sugar, splenectomy status, chelation therapy, and hydroxyurea treatment were compared between the two groups. Results: The mean age was 27.33 years in the thalassemia major group and 32.65 years in the sickle cell anemia group (p = 0.010). No statistically significant difference was observed in the distribution of ischemia types between the groups (p = 0.303). The thalassemia major group had a lower mean hemoglobin level (8.37 g/dL) compared to the sickle cell anemia group (9.57 g/dL) (p = 0.003). Ferritin levels were significantly higher in the thalassemia major group (2018.92 ng/mL) than in the sickle cell anemia group (660.39 ng/mL) (p < 0.001). Conclusions: Although ischemic lesions were more frequently observed in patients with sickle cell anemia, the difference was not statistically significant. These findings emphasize the importance of ongoing surveillance and individualized management to mitigate cerebrovascular risks in both patient populations.

Assessment of the Potential Clinical and Economic Impact of Weight Loss in the Adult Population with Obesity and Associated Comorbidities in Spain.

Obesity and its complications are associated with high morbidity/mortality and a significant healthcare cost burden in Spain. It is therefore essential to know the potential clinical and economic benefits of reducing obesity. The objective of this study is to predict the decrease in rates of onset of potential complications associated with obesity and the cost savings after a weight loss of 15% over 10years in Spain. Data were combined in an adapted version of a weight loss benefit simulation model. Sources with demographic information on the Spanish population and the distribution of obesity and type 2 diabetes mellitus (T2DM) were used to obtain the data for the model. In addition, use was made of prevalence data on obesity-associated complications from a cohort of patients with obesity in the United Kingdom (UK). These data were combined by age and sex to create a Spanish synthetic cohort. The simulation showed that, for a cohort of 100,000 individuals with a body mass index (BMI) of 30-50kg/m2, a weight loss of 15% is estimated to lead to relevant relative risk reductions in obstructive sleep apnoea (OSA) (-56.4%), T2DM (-39.2%), asthma (-20.2%) and arterial hypertension (-18.7%). The estimated overall savings were €105 million for a cohort of 100,000 individuals, mainly resulting from the decrease in T2DM and arterial hypertension (23% and 22% of the total savings at year 10, respectively), as well as osteoarthritis and chronic kidney disease (CKD) (16% and 13%, respectively). Sustained weight loss could significantly reduce the burden derived from future complications associated to obesity in Spain, as well as the excess economic cost associated with its treatment.

Classification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion.

Salt marsh vegetation in the Yellow River Delta, including Phragmites australis (P. australis), Suaeda salsa (S. salsa), and Tamarix chinensis (T. chinensis), is essential for the stability of wetland ecosystems. In recent years, salt marsh vegetation has experienced severe degradation, which is primarily due to invasive species and human activities. Therefore, the accurate monitoring of the spatial distribution of these vegetation types is critical for the ecological protection and restoration of the Yellow River Delta. This study proposes a multi-source remote sensing data fusion method based on Sentinel-1 and Sentinel-2 imagery, integrating the temporal characteristics of optical and SAR (synthetic aperture radar) data for the classification mapping of salt marsh vegetation in the Yellow River Delta. Phenological and polarization features were extracted to capture vegetation characteristics. A random forest algorithm was then applied to evaluate the impact of different feature combinations on classification accuracy. Combining optical and SAR time-series data significantly enhanced classification accuracy, particularly in differentiating P. australis, S. salsa, and T. chinensis. The integration of phenological features, polarization ratio, and polarization difference achieved a classification accuracy of 93.51% with a Kappa coefficient of 0.917, outperforming the use of individual data sources.

The influence of high doses of vitamin C on functional recovery and postoperative pain in patients with trochanteric fracture after intramedullary nailing during a three-month follow-up: a pilot study

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Aim&amp;lt;/strong&amp;gt; To determine the effects of high peri- and postoperative doses of vitamin C administration on severity of pain in postoperative period and functional outcome of the patients with trochanteric fracture treated with intramedullary nailing during a three-month follow-up.&amp;lt;br /&amp;gt;&amp;lt;strong&amp;gt;Methods&amp;lt;/strong&amp;gt; A prospective, randomized, pilot study included 56 patients who were randomly divided into vitamin C (intervention) and control groups. In the intervention group, patients received vitamin C perioperatively by an intravenous route for 2 days, and oral vitamin C for 38 days postoperatively. Baseline characteristics, postoperative metamizole consumption, Visual Analogue Scale (VAS) score, Harris Hip Score (HHS) value, and the prevalence of complications were evaluated in both groups.&amp;amp;nbsp;&amp;lt;br /&amp;gt;&amp;lt;strong&amp;gt;Results&amp;lt;/strong&amp;gt; No significant differences were noted between the groups regarding age, gender, length of hospitalization, and distribution in fracture type. Postoperative metamizole consumption was notably higher in the control group compared to the vitamin C group (p=0.006). Postoperative VAS score was higher in the control group (p&amp;amp;lt;0.05). No significant differences in HHS values were detected between the groups at 6 and 12 weeks postoperatively (p=0.655 and p=0.755, respectively). The group variable significantly contributed to VAS score, and age and gender variables significantly contributed to HHS value.&amp;lt;br /&amp;gt;&amp;lt;strong&amp;gt;Conclusion&amp;lt;/strong&amp;gt; A significant reduction of subjective pain levels and lower analgesic consumption was found in patients who received vitamin C, suggesting that it should be considered as an adjuvant agent for analgesia in patients with hip fracture.&amp;lt;/p&amp;gt;

StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality

Road unevenness significantly impacts the safety and comfort of traffic participants, especially vulnerable groups such as cyclists and wheelchair users. To train models for comprehensive road surface assessments, we introduce StreetSurfaceVis, a novel dataset comprising 9,122 street-level images mostly from Germany collected from a crowdsourcing platform and manually annotated by road surface type and quality. By crafting a heterogeneous dataset, we aim to enable robust models that maintain high accuracy across diverse image sources. As the frequency distribution of road surface types and qualities is highly imbalanced, we propose a sampling strategy incorporating various external label prediction resources to ensure sufficient images per class while reducing manual annotation. More precisely, we estimate the impact of (1) enriching the image data with OpenStreetMap tags, (2) iterative training and application of a custom surface type classification model, (3) amplifying underrepresented classes through prompt-based classification with GPT-4o and (4) similarity search using image embeddings. Combining these strategies effectively reduces manual annotation workload while ensuring sufficient class representation.

Clinicopathological differences between patients with schistosomal appendicitis and non schistosomal appendicitis: A retrospectively study of past ten years.

Chronic schistosomiasis causes multiple organ and multiple system diseases, especially the digestive system. Schistosome eggs are mainly deposited in the stomach, liver and colorectal, but a few eggs are deposited in the appendix and cause disease. At present, there are few studies on schistosomal appendicitis. To explore the differences in epidemiological, clinical and pathological characteristics between schistosomal appendicitis and non-schistosomal appendicitis over the past decade in order to assess the impact of schistosomiasis on appendicitis. The differences of general data, clinical data and laboratory examination data of patients with appendicitis from October 2013 to October 2023 were retrospectively analyzed. All patients were divided into two groups for analysis. There were 136 patients in schistosomal appendicitis group and 5418 patients in non-schistosomal appendicitis group. Schistosomal appendicitis accounted for 2.45% of all patients with appendicitis, and the annual proportion in the past decade was 2.2%, 2.9%, 1.8%, 1.9%, 3.4%, 3.1%, 1.9%, 1.6%, 3%, 2.6%, respectively. The prevalence of schistosomal appendicitis was middle-aged and elderly males, with an average age of 61.73 ± 15.335 years. The main population of non-schistosomal appendicitis was middle-aged men, with an average age of 35.8 ± 24.013 years (P < 0.001). The distribution of pathological types of appendicitis was different between the two groups (P < 0.001). The incidence of acute suppurative appendicitis in non-schistosomal appendicitis was higher than that in schistosomal appendicitis [odds ratio (OR) = 0.504; 95% confidence interval (CI): 0.349-0.728; P < 0.001]. The proportion of acute attack of chronic appendicitis in schistosomal appendicitis was higher than that in non-schistosomal appendicitis (OR = 2.614; 95%CI: 1.815-3.763; P < 0.001). The proportion of schistosomal appendicitis patients complicated with colorectal cancer was higher than that of non-schistosomal appendicitis patients (OR = 5.087; 95%CI: 1.427-18.132; P = 0.012). There was no difference in clinical symptoms between the two groups. In the laboratory examination, there was a significant difference in white blood cells between schistosomal appendicitis and non-schistosomal appendicitis. The level of white blood cells in schistosomal appendicitis group was slightly higher than the upper limit of the normal range. Other statistically significant indicators were in the normal range. Schistosomal appendicitis is a severe condition that is often associated with intestinal malignancies, potentially leading to a poor prognosis. Schistosomal appendicitis is more likely to be misdiagnosed and missed diagnosed in clinical work because of its nonspecific clinical manifestations and laboratory examination. It is crucial to differentiate schistosomal appendicitis in middle-aged and elderly male patients presenting with appendicitis, and to ensure early detection and treatment.

Incidence, characteristics, and comorbidities of a complete unselected Danish cohort of patients with thymic epithelial tumors.

We report the incidence, characteristics, and comorbidities of the complete unselected Danish cohort of patients with thymic epitheliums (TETs), which may serve as evidence for guiding treatment, surveillance, and counselling of TET patients. All patients diagnosed with TETs from January 1st, 2015, to December 31st, 2020, were identified using the Danish Pathology Data Registry. Data on patient characteristics, comorbidities, and tumor histology were collected from electronic medical records available for all patients. The cohort consisted of 283 patients with a mean age of 64 years (SD: 12). The crude rate was 8.2/1,000,000 TETs annually, thus higher than the age-standardized rates of 4.8/1,000,000 in the WHO World Standard Population and 6.1/1,000,000 in the European Standard Population. Thymomas were diagnosed in 240 patients (85%) (9% type A, 31% AB, 18% B1, 26% B2, 6% B3, 5% micronodular, 0.4% metaplastic, and 5% of unspecified subtype), thymic carcinomas in 39 patients (14%), and thymic neuroendocrine tumors in 4 patients (1.4%). Tumors in Tumour, Node, Metastasis (TNM) stage I were diagnosed in 181 patients (64%) and were mostly thymomas (72%). Prior to TET diagnosis, 91 (32%) patients presented with autoimmune disorders (19% myasthenia gravis) and 82 patients (29%) had at least one cancer diagnosis. We found a higher incidence of TETs in Denmark than in previous European population-based studies, while reporting a similar distribution of histological types and tumor stages. Furthermore, we found an increased prevalence of autoimmune disorders and cancers in the cohort before TET diagnosis compared to the general population.

Gender Disparities and Lung Cancer Screening Outcomes Among Individuals Who Have Never Smoked

Lung cancer in individuals who have never smoked (INS) is a growing global concern, with a rapidly increasing incidence and proportion among all lung cancer cases. Particularly in East Asia, opportunistic lung cancer screening (LCS) programs targeting INS have gained popularity. However, the sex-specific outcomes and drawbacks of screening INS remain unexplored, with data predominantly focused on women. To compare LCS outcomes between Asian women and men with no smoking history. This multicenter cohort study was conducted at health checkup centers in South Korea from 2009 to 2021. Participants included individuals aged 50 to 80 years with no smoking history who underwent low-dose computed tomography (LDCT) screening. Data were retrospectively analyzed from November 2023 to June 2024. Opportunistic LDCT screening for lung cancer. Participants were followed up until December 2022 for the outcome of death. Lung cancer diagnosis, diagnostic characteristics, clinical course, and lung cancer-specific deaths (LCSD) were compared between women and men. A total of 21 062 participants (16 133 [76.6%] women and 4929 [23.4%] men) with a mean (SD) age of 59.8 (7.2) years were included. From baseline screening, 176 participants (139 women [0.9%] and 37 men [0.8%]) were diagnosed with lung cancer (screen-detected); 131 of 139 women (94.3%) and 33 of 37 men (89.2%) were diagnosed with stage 0 to I disease, with 133 of 139 women (95.7%) and 36 of 37 men (97.3%) having adenocarcinoma. There were no significant sex-based differences in stage or histologic type distribution. Among the 21 062 screened individuals, LCSD was reported in 8 women and 3 men during a mean (SD) follow-up of 83.8 (41.7) months. Multivariable analyses found no significant association between sex and cumulative hazards of lung cancer diagnosis (adjusted hazard ratio [aHR], 0.90 [95% CI, 0.64-1.26] for men vs women) or LCSD (aHR, 1.06 [95% CI, 0.28-4.00] for men vs women). The estimated 5-year lung cancer-specific survival rate was 97.7% for women and 100% for men with screen-detected lung cancer, showing no significant sex differences. In this cohort study of Asian individuals with no smoking history who underwent LDCT screening, no significant sex-based differences were detected in lung cancer diagnosis, stage distribution, or LCSD. These findings suggest that men and women who have never smoked would experience similar risks of overdiagnosis with little to no benefit when exposed to indiscriminate screening.

A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery

Arctic sea ice has a significant effect on global climate change, ship navigation, Arctic ecosystems, and human activities. Therefore, it is essential to produce high-resolution sea ice maps that accurately represent the geographical distribution of various sea ice types. Based on deep learning technology, many automatic sea ice classification algorithms have been developed using synthetic aperture radar (SAR) imagery over the last decade. However, sea ice classification faces two vital challenges: (1) it is difficult to distinguish sea ice types with close developmental stages solely from SAR images and (2) an imbalanced sea ice dataset has a significantly negative effect on ice classification model performance. In this article, a spatio-temporal deep learning model—the Dynamic Multi-Layer Perceptron (MLP)—is utilized to classify 10 sea ice types automatically. It consists of a SAR image branch and a spatio-temporal branch, which extracts SAR image features and spatio-temporal distribution characteristics of sea ice, respectively. By projecting similar image features to different positions in the spatio-temporal feature space dynamically, the Dynamic MLP model effectively distinguishes between similar sea ice types. Furthermore, to reduce the impact of data imbalance on model performance, the dynamic curriculum learning (DCL) method is used to train the Dynamic MLP model. Experimental results demonstrate that our proposed method outperforms the long short-term memory (LSTM) network approach in distinguishing between sea ice types with similar developmental stages. Moreover, the DCL training method can also effectively improve model performance in identifying minority ice types.

Position-based assessment of head impact frequency, severity, type, and location in high school American football

IntroductionResearch on head impact characteristics, especially position-specific investigations in football, has predominantly focused on collegiate and professional levels, leaving a gap in understanding the risks faced by high school players. Therefore, this study aimed to investigate the effect of three factors—player position, impact location, and impact type—on the frequency, severity, and characteristics of impacts in high school American football. Additionally, we examined whether and how player position influences the distribution of impact locations and types.MethodsSixteen high school football players aged 14 to 17 participated in this study. Validated mouthguard sensors measured head impact kinematics, including linear acceleration, angular acceleration, and angular velocity across ten games, and were used to identify impact locations on the head. Video recordings verified true impacts, player position, and impact type at the moment of each recorded impact. Head impact kinematics were input into a head finite element model to determine the 95th percentile of the maximum principal strain and strain rate. Several novel and systematic approaches, such as normalization, binning, and clustering, were introduced and utilized to investigate the frequency and severity of head impacts across the three aforementioned factors while addressing some of the limitations of previous methodologies in the field. To that end, the number of recorded impacts for each player position during each game was divided by the number of players in that position, and then averaged across ten games. Instead of averaging, impacts were categorized into four severity bins: low, mid-low, mid-high and high. Clusters for the three factors were also identified according to the characteristics of impacts.Results and DiscussionResults revealed that offensive linemen and running backs experienced a higher normalized frequency and more severe impacts across all head kinematics and brain tissue deformation parameters. Frontal impacts, resulting from “head-to-head” impacts, were the most frequent and severe impact locations. The distributions of impact location and type for each specific position were distinct. Offensive linemen had the highest proportion of frontal impacts, while quarterbacks and centerbacks had more impacts at the rear location. These findings can inform interventions in game regulations, training practices, and helmet design to mitigate injury risks in high school football.

Pathogenic potential of ornithogenic &lt;i&gt;Escherichia coli&lt;/i&gt; strains detected in the Earth's polar regions

Introduction. Pathogenic strains of Escherichia coli are an important object of surveillance within the One Health concept in the wild, agriculture and human society. Migratory bird colonies and high latitude avian colonies may be points of active intraspecies and interspecies contact between different animal species, accompanied by the spread of pathogens. At the same time, the phylogeography of E. coli in relation to the presence of natural foci of colibacillosis in polar regions remains virtually unstudied. The aim of this study was to assess the pathogenic potential of E. coli strains from the polar regions of the Earth, based on the analysis of the genomes of these bacteria from typical ornithogenic ecosystems of the Arctic and Antarctic. Materials and methods. The study used collections of E. coli isolated from ornithogenic biological material during expeditions to high latitude areas of the Arctic (archipelagos of Novaya Zemlya, Franz Josef Land, Svalbard) and Antarctic (Haswell Archipelago). 16 cultures associated with avian E. coli (12 polar and 4 temperate strains) were selected for genome-wide sequencing using BGI technology. The annotation of the genomes focused on the identification of genes for pathogenicity factors and antimicrobial resistance, as well as the identification of strains belonging to individual genetic lineages using the cgMLST method. Results. The annotation of the genomes allowed their assignment to different sequence types in the multilocus sequencing typing and genome-wide sequencing typing schemes. The analysis of the geographical distribution of the sequence types of polar E. coli strains determined by the cgMLST method showed their global representation in geographically distant regions of the planet. For example, cgST 133718 was observed in Antarctica (strain 17_1myr) and in the UK, and sequence 11903, to which strain 32-1 from the northernmost point of Novaya Zemlya belonged, was previously identified in the USA. All strains studied were characterized by the presence of extensive virulence. Among the pathogenicity factors identified were haemolysins A, E, F, siderophores, including the yersiniabactin gene cluster, a number of adhesion, colonization and invasion factors, as well as the thermostable enterotoxin EAST-1 and genes that characterize enteroaggregative strains of E. coli (the virulence regulator gene eilA and enteroaggregative protein (air)). One of the Arctic strains (33-1) had determinants of antibiotic resistance, in particular the extended-spectrum beta-lactamase gene TEM-1b and the Tn1721 transposon, including tetracycline resistance genes (tetA-TetR), were detected in its genome. Conclusion. The results of the study indicate the circulation of E. coli strains with strong pathogenic potential in high-latitude Arctic and Antarctic ornithogenic ecosystems. The analysis of genomic data indicates the presence of geographically widespread genetic lineages in these regions, which justifies the importance of monitoring epidemic clones of E. coli, along with monitoring for other pathogens, in bird colonies in high-latitude areas.

Single cell transcriptomics in blood of patients with chronic obstructive pulmonary disease

BackgroundChronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. Single-cell RNA sequencing (scRNA-seq) provides gene expression profiles at the single-cell level. Hence, we evaluated gene expression in the peripheral blood of patients with COPD.MethodsPeripheral blood samples from seven healthy controls and eight patients with COPD were obtained in this study. The 10X Genomics Chromium Instrument and cDNA synthesis kit were utilized to generate a barcoded cDNA library for single cell RNA-sequencing. We compared the scRNA-seq data between the COPD and control groups using computational analysis. Functional analyses were performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses.ResultsscRNA-seq was used to analyze the transcriptome of peripheral blood mononuclear cells from seven normal controls and eight patients with COPD. We found an increased number of monocyte/macrophages in the COPD group compared to the normal control group. Among the differentially expressed genes (DEGs) in monocyte/macrophages, we identified 15 upregulated genes (EGR1, NR4A1, CCL3, CXCL8, PTGS2, CD83, BCL2A1, SGK1, IL1B, BTG2, NFKBIZ, DUSP2, MAFB, PLAUR and CCL3L1) and 7 downregulated genes (FOLR3, RPS4Y1, HLA-DRB5, NAMPT, CD52, TMEM176A and TMEM176B) in the COPD group compared to the normal control group.ConclusionsUsing scRNA-seq, we found differences in cell type distribution, especially in monocyte/ macrophages. Several upregulated and downregulated genes were found in the monocyte/macrophages of the COPD group.

A decade-long analysis of 98 chronic myeloid leukemia patients: Laboratory data and clinical progress at a single center

Abstract: BACKGROUND: Chronic Myeloid Leukemia (CML) is a myeloproliferative neoplasm characterized by the presence of the Philadelphia chromosome (BCR-ABL1 fusion gene). CML primarily progresses through chronic, accelerated, and blast phases. While global studies on BCR-ABL1 fusion transcript types and their associations with clinical, laboratory, and prognostic profiles exist, such data is scarce in Malaysia. OBJECTIVES: This study aimed to determine the distribution of BCR-ABL1 fusion transcript types and evaluate their associations with demographic, clinical, laboratory, prognostic profiles, and disease outcomes among Malaysian CML patients. PATIENTS, MATERIALS AND METHODS: A total of 98 patients diagnosed with CML were identified at East Coast Hospital, Malaysia. This 12-year cross-sectional study was carried out using data extracted from patients’ medical records. Molecular results for BCR-ABL1 fusion genes were obtained using one-step multiplex reverse transcriptase polymerase chain reaction. RESULTS: Out of the 98 patients, 56% had e14a2, 41% had e13a2 fusion transcripts, while the remaining 2 patients had e14a3 transcripts. Additionally, 1 patient co-expressed both e13a2 and e14a2. Among patients with the major BCR-ABL1 transcript type, those with e14a2 fusion transcripts showed an older median age (P = 0.025), while patients with e13a2 fusion transcripts had significantly higher white blood cell (WBC) counts (P = 0.014). Furthermore, there were significantly more patients with blastic transformation in the e13a2 group (P = 0.038). The median latency period of CML was 12 months. The blast cell lineages consisted of myeloid (68.4%), followed by B-lymphoid (26.3%) and mixed phenotypic (5.3%). The differences in fusion transcript expression might influence certain parameters; for instance, older patients were associated with the e14a2 fusion transcript. Meanwhile, patients exhibiting e13a2 might have a higher WBC count at diagnosis and be more vulnerable to blastic transformation of CML. CONCLUSIONS: This study highlights the predominance of e14a2 fusion transcripts in Malaysian CML patients and its association with older age. The e13a2 transcript was linked to higher tumor burden and a higher rate of blastic transformation, suggesting potential prognostic significance. These findings underscore the importance of baseline molecular profiling for optimizing disease management.

Numerical simulation of radiotherapy beam interaction with soft tissues and PLA plastic for 3D printing of dosimetric phantoms

Introduction. In the development of new methods of radiotherapy, studies of the biological effects of sparsely (photons, electrons) and densely (protons, ions) ionizing radiation are relevant. Reproducibility is a challenge in preclinical studies. Dosimetric phantoms of laboratory animals are an effective tool for dose assessment, facilitating standardization of tests conducted under different conditions. existing phantoms often fail to address radiobiological issues like placing of biological samples or dosimetry detectors. A method for manufacturing dosimetric phantoms must be developed to accurately manufacturing products and modify their design in accordance with the task. Aim. This study develops a numerical model to simulate the interaction of photon, electron and proton therapeutic beams with 3D-printed PLA plastic samples and to determine the optimal 3D printing parameters for imitating soft tissues. Material and Methods. Fused filament fabrication proposed as effective means of creating such devices, given that the majority of polymers exhibit properties closely aligned with those of biological tissues, are employed in the manufacture of standard phantoms. A major advantage of 3D printing is the ability to make items with different specifications. Numerical simulation was employed to investigate the interaction of PLA plastic with an ionizing radiation used in radiotherapy. Results. the calculated depth dose distributions of different types of radiation in soft tissues and PLA plastic of varying densities were obtained. It was demonstrated that for adipose imitation using photons and electrons, it is necessary to utilise PLA plastic 3D-printed samples with a density of 0.91 g/cm³ (fill factor of 75 %); for muscle – 1.06 g/ cm³ (fill factor of 88 %). For proton and carbon ion, the density of PLA plastic samples for adipose imitation was determined to be 0.97 g/cm³ (fill factor of 80 %); for muscle – 1.11 g/cm³ (fill factor of 93 %). Conclusion. The study demonstrates that the interaction of PLA plastic with rarely and densely ionizing radiation may be differed. This is a crucial consideration when planning experiments using solid-state dosimetric phantoms.

Fine-Grained Building Classification in Rural Areas Based on GF-7 Data.

Building type information is widely used in various fields, such as disaster management, urbanization studies, and population modelling. Few studies have been conducted on fine-grained building classification in rural areas using China's Gaofen-7 (GF-7) high-resolution stereo mapping satellite data. In this study, we employed a two-stage method combining supervised classification and unsupervised clustering to classify buildings in the rural area of Pingquan, northern China, based on building footprints, building heights, and multispectral information extracted from GF-7 data. In the supervised classification stage, we compared different classification models, including Extreme Gradient Boosting (XGBoost) and Random Forest classifiers. The best-performing XGBoost model achieved an overall roof type classification accuracy of 88.89%. Additionally, we proposed a template-based building height correction method for pitched roof buildings, which combined geometric features of the building footprint, street view photos, and height information extracted from the GF-7 stereo image. This method reduced the RMSE of the pitched roof building heights from 2.28 m to 1.20 m. In the cluster analysis stage, buildings with different roof types were further classified in the color and shape feature spaces and combined with the building height information to produce fine-grained building type codes. The results of the roof type classification and fine-grained building classification reveal the physical and geometric characteristics of buildings and the spatial distribution of different building types in the study area. The building classification method proposed in this study has broad application prospects for disaster management in rural areas.

Previous short-term disuse dictates muscle gene expression and physiological adaptations to subsequent resistance exercise.

Short-term unloading experienced following injury or hospitalisation induces muscle atrophy and weakness. The effects of exercise following unloading have been scarcely investigated. We investigated the functional and molecular adaptations to a resistance training (RT) programme following short-term unloading. Eleven males (22.09±2.91years) underwent 10days of unilateral lower limb suspension (ULLS) followed by 21days of knee extensor RT (three times/week). Data collection occurred at Baseline (LS0), after ULLS (LS10) and at active recovery (AR21). Knee extensor maximum voluntary contraction (MVC) was evaluated. Quadriceps volume was estimated by ultrasonography. Muscle fibre cross-sectional area, fibre type distribution, glycogen content and succinate dehydrogenase (SDH) activity were measured from vastus lateralis biopsies. Mitochondrial-related proteins were quantified by western blot and transcriptional responses were assessed by RNA sequencing. Following ULLS, quadriceps volume and MVC decreased significantly (3.7%, P<0.05; 29.3%, P<0.001). At AR21 (vs. LS10), MVC was fully restored (42%) and quadriceps volume increased markedly (18.6%, P<0.001). Glycogen content and whole-body water increased at AR21 (14%, P<0.001; 3.1%, P<0.05). We observed a marked increase in fibre type I at AR21 (38%, P<0.05). SDH immunoreactivity increased significantly after exercise (20%, P<0.001). Mitochondrial fusion (MFN1, MFN2 and OPA1) and fission (DRP1) proteins were markedly increased by RT, and the most differentially expressed genes belonged to oxidative phosphorylation pathways. In contrast with what is usually observed after RT, oxidative metabolism, slow fibre type and mitochondrial dynamics were enhanced beyond expected. We propose that prior exposure to short-term muscle unloading may drive the nature of molecular adaptations to subsequent RT. KEY POINTS: Short-term unloading is often experienced during recovery from injuries and hospitalisation, leading to loss of muscle mass and strength. Although exercise can be beneficial in mitigating/reversing such alterations during disuse, only a few studies have focused on the effects of exercise following muscle unloading. With an integrative physiological approach, we aimed to elucidate the basic mechanisms of muscle function recovery in response to 21days of resistance exercise that followed 10days of unilateral lower limb suspension (ULLS), assessing whether the mechanisms underlying recovery are defined by a specific reversal of those that occurred during disuse. Resistance training was successful in recovering functional and structural muscle properties after 10days of ULLS, but in contrast with what is usually observed in response to this training modality, oxidative metabolism and slow fibre type were mostly enhanced. We propose that prior exposure to short-term muscle unloading may drive the adaptations to subsequent exercise.