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Scientific Reports Jul 2024Celiac Disease (CD) is a primary malabsorption syndrome resulting from the interplay of genetic, immune, and dietary factors. CD negatively impacts daily activities and...
Celiac Disease (CD) is a primary malabsorption syndrome resulting from the interplay of genetic, immune, and dietary factors. CD negatively impacts daily activities and may lead to conditions such as osteoporosis, malignancies in the small intestine, ulcerative jejunitis, and enteritis, ultimately causing severe malnutrition. Therefore, an effective and rapid differentiation between healthy individuals and those with celiac disease is crucial for early diagnosis and treatment. This study utilizes Raman spectroscopy combined with deep learning models to achieve a non-invasive, rapid, and accurate diagnostic method for celiac disease and healthy controls. A total of 59 plasma samples, comprising 29 celiac disease cases and 30 healthy controls, were collected for experimental purposes. Convolutional Neural Network (CNN), Multi-Scale Convolutional Neural Network (MCNN), Residual Network (ResNet), and Deep Residual Shrinkage Network (DRSN) classification models were employed. The accuracy rates for these models were found to be 86.67%, 90.76%, 86.67% and 95.00%, respectively. Comparative validation results revealed that the DRSN model exhibited the best performance, with an AUC value and accuracy of 97.60% and 95%, respectively. This confirms the superiority of Raman spectroscopy combined with deep learning in the diagnosis of celiac disease.
Topics: Celiac Disease; Humans; Spectrum Analysis, Raman; Deep Learning; Female; Male; Adult; Neural Networks, Computer; Case-Control Studies; Middle Aged
PubMed: 38956075
DOI: 10.1038/s41598-024-64621-4 -
Nature Communications Jul 2024The primary obstacle to curing HIV-1 is a reservoir of CD4+ cells that contain stably integrated provirus. Previous studies characterizing the proviral landscape, which...
The primary obstacle to curing HIV-1 is a reservoir of CD4+ cells that contain stably integrated provirus. Previous studies characterizing the proviral landscape, which have been predominantly conducted in males in the United States and Europe living with HIV-1 subtype B, have revealed that most proviruses that persist during antiretroviral therapy (ART) are defective. In contrast, less is known about proviral landscapes in females with non-B subtypes, which represents the largest group of individuals living with HIV-1. Here, we analyze genomic DNA from resting CD4+ T-cells from 16 female and seven male Ugandans with HIV-1 receiving suppressive ART (n = 23). We perform near-full-length proviral sequencing at limiting dilution to examine the proviral genetic landscape, yielding 607 HIV-1 subtype A1, D, and recombinant proviral sequences (mean 26/person). We observe that intact genomes are relatively rare and clonal expansion occurs in both intact and defective genomes. Our modification of the primers and probes of the Intact Proviral DNA Assay (IPDA), developed for subtype B, rescues intact provirus detection in Ugandan samples for which the original IPDA fails. This work will facilitate research on HIV-1 persistence and cure strategies in Africa, where the burden of HIV-1 is heaviest.
Topics: Humans; HIV-1; Proviruses; HIV Infections; Male; Female; Genome, Viral; CD4-Positive T-Lymphocytes; Adult; DNA, Viral; Uganda; Viral Load; Anti-HIV Agents
PubMed: 38956017
DOI: 10.1038/s41467-024-48985-9 -
Journal of Imaging Informatics in... Jul 2024This study aimed to investigate the performance of a fine-tuned large language model (LLM) in extracting patients on pretreatment for lung cancer from picture archiving...
This study aimed to investigate the performance of a fine-tuned large language model (LLM) in extracting patients on pretreatment for lung cancer from picture archiving and communication systems (PACS) and comparing it with that of radiologists. Patients whose radiological reports contained the term lung cancer (3111 for training, 124 for validation, and 288 for test) were included in this retrospective study. Based on clinical indication and diagnosis sections of the radiological report (used as input data), they were classified into four groups (used as reference data): group 0 (no lung cancer), group 1 (pretreatment lung cancer present), group 2 (after treatment for lung cancer), and group 3 (planning radiation therapy). Using the training and validation datasets, fine-tuning of the pretrained LLM was conducted ten times. Due to group imbalance, group 2 data were undersampled in the training. The performance of the best-performing model in the validation dataset was assessed in the independent test dataset. For testing purposes, two other radiologists (readers 1 and 2) were also involved in classifying radiological reports. The overall accuracy of the fine-tuned LLM, reader 1, and reader 2 was 0.983, 0.969, and 0.969, respectively. The sensitivity for differentiating group 0/1/2/3 by LLM, reader 1, and reader 2 was 1.000/0.948/0.991/1.000, 0.750/0.879/0.996/1.000, and 1.000/0.931/0.978/1.000, respectively. The time required for classification by LLM, reader 1, and reader 2 was 46s/2539s/1538s, respectively. Fine-tuned LLM effectively extracted patients on pretreatment for lung cancer from PACS with comparable performance to radiologists in a shorter time.
PubMed: 38955964
DOI: 10.1007/s10278-024-01186-8 -
Updates in Surgery Jul 2024The Nurse Navigator is a highly specialized nurse with technical and non-technical skills that offers individualized assistance to cancer patients, their family and...
The Nurse Navigator is a highly specialized nurse with technical and non-technical skills that offers individualized assistance to cancer patients, their family and caregivers to overcome health system barriers and facilitate access to care. This role was introduced in the General Surgery Unit of the Madonna del Soccorso Hospital in San Benedetto del Tronto from 1st January 2023. The primary endpoint is to compare the times taken for each step of the diagnostic-therapeutic pathway comparing the study group followed by Oncology Nurse Navigator (ONN) and the group not followed by this role. The secondary endpoints, only for the study group, were the number of patient contacts with the ONN and the time slots; the number of examinations and consultations organized by ONN; the evaluation of patient satisfaction at discharge; the number and type of problems noted during follow-up contact at 7 and 30 days after discharge. A prospective court study with historical control was conducted from 1st January 2023 in Madonna del Soccorso Hospital, Italy. The study group consists of all cancer patients cared for by ONN. The control group was created by selecting the same number of patients as the study group but taken care of in the previous 3 years (from 2020 to 2022) and, therefore, without the presence of the Nurse Navigator. The control group data come from clinical documentation. The number and time slots of contact with the ONN were recorded through the use of a company mobile phone active 24/7 through phone calls and messages. The number of examinations and consultations is known through online requests. The satisfaction assessment was carried out through the use of externally validated questionnaire Patient Satisfaction with Cancer Care (PSCC). The follow-up was performed by telephone and recorded on documentation according to established parameters. A total of 200 patients were analyzed. Both the study and control groups included 100 patients each. The average time between the first contact with the patient and the execution of the diagnostic test was 7 days in the cases compared to 28 days in the control group. The waiting time for the Multi-Disciplinary Team discussion (MDT) was 3 days for the study group compared to 6 days in the control group. The average time taken for the first oncological visit was 3 days in the study group compared to 18 days in the controls. The time from first contact to the operating session was 20 days compared to 45 in controls. Each patient had an average of 10 phone calls with the ONN. For all patients accompanied at the first diagnosis, at least 2 radiological and laboratory tests were organized. Oncology appointment for treatment evaluations after delivery of the histological report was communicated within a maximum of 3 working days. A patient satisfaction questionnaire achieved a response rate of 100%, with an average score of 87.0/90. The telephone follow-up had a response rate of 100% of patients and revealed a decrease in problems at the 30-day check-up compared to that of 7 days after discharge. (Activity of Daily Living 20% vs 8%; nutritional problems 40% vs 21%, pain 18% vs 2%; surgical wounds 45% vs 1%; mobilization 8% vs 0%). The data demonstrate that ONN service improves the quality and outcomes of surgical oncology patients' pathway. The professional role of the ONN, with predefined technical and non-technical skills, should also be officially recognized by the healthcare system and hospital administration.
PubMed: 38955954
DOI: 10.1007/s13304-024-01916-1 -
CEN Case Reports Jul 2024A 76-year-old woman was admitted with progressive renal function decline. A kidney biopsy was performed because of myeloperoxidase anti-neutrophil cytoplasmic antibody...
A 76-year-old woman was admitted with progressive renal function decline. A kidney biopsy was performed because of myeloperoxidase anti-neutrophil cytoplasmic antibody (ANCA; 333 IU/mL), proteinuria (1.21 g/d), and urinary erythrocyte sediment (10-19/high-power field). Renal-limited ANCA-positive vasculitis with pauci-immune necrotizing crescentic glomerulonephritis (ANCA-associated vasculitis, AAV) was diagnosed. Glucocorticoid therapy was started, and the patient responded well. About 1 year later, avacopan treatment was started and glucocorticoid therapy was discontinued. Avacopan did not normalize ANCA levels and did not make urinary findings negative. However, further progression of renal function decline is prevented. Factors attributed to the development of AAV in this case were investigated; AAV developed after the second dose of the COVID-19 vaccine and ANCA levels re-elevated after the fifth dose. This suggests that the COVID-19 vaccine may have contributed to the development of AAV in this elderly patient. Avacopan monotherapy has been shown to be effective as maintenance therapy to control the progression of renal failure although not sufficient for complete remission of AAV.
PubMed: 38955948
DOI: 10.1007/s13730-024-00910-1 -
International Urology and Nephrology Jul 2024This investigation sought to validate the clinical precision and practical applicability of AI-enhanced three-dimensional sonographic imaging for the identification of...
PURPOSE
This investigation sought to validate the clinical precision and practical applicability of AI-enhanced three-dimensional sonographic imaging for the identification of anterior urethral stricture.
METHODS
The study enrolled 63 male patients with diagnosed anterior urethral strictures alongside 10 healthy volunteers to serve as controls. The imaging protocol utilized a high-frequency 3D ultrasound system combined with a linear stepper motor, which enabled precise and rapid image acquisition. For image analysis, an advanced AI-based segmentation process using a modified U-net algorithm was implemented to perform real-time, high-resolution segmentation and three-dimensional reconstruction of the urethra. A comparative analysis was performed against the surgically measured stricture lengths. Spearman's correlation analysis was executed to assess the findings.
RESULTS
The AI model completed the entire processing sequence, encompassing recognition, segmentation, and reconstruction, within approximately 5 min. The mean intraoperative length of urethral stricture was determined to be 14.4 ± 8.4 mm. Notably, the mean lengths of the urethral strictures reconstructed by manual and AI models were 13.1 ± 7.5 mm and 13.4 ± 7.2 mm, respectively. Interestingly, no statistically significant disparity in urethral stricture length between manually reconstructed and AI-reconstructed images was observed. Spearman's correlation analysis underscored a more robust association of AI-reconstructed images with intraoperative urethral stricture length than manually reconstructed 3D images (0.870 vs. 0.820). Furthermore, AI-reconstructed images provided detailed views of the corpus spongiosum fibrosis from multiple perspectives.
CONCLUSIONS
The research heralds the inception of an innovative, efficient AI-driven sonographic approach for three-dimensional visualization of urethral strictures, substantiating its viability and superiority in clinical application.
PubMed: 38955940
DOI: 10.1007/s11255-024-04137-y -
Reproductive Sciences (Thousand Oaks,... Jul 2024Polycystic ovary syndrome (PCOS) is a prevalent endocrine and metabolic disorder in premenopausal women. This investigation was to elucidate the underlying mechanism of...
Polycystic ovary syndrome (PCOS) is a prevalent endocrine and metabolic disorder in premenopausal women. This investigation was to elucidate the underlying mechanism of endoplasmic reticulum stress (ERS) activation in granulosa cells, which has been implicated in the etiology of PCOS. Differentially expressed genes (DEGs) between PCOS and control groups were integrated with ERS gene lists from databases to identify DE-ERS genes, and functional analyses were performed. Univariate regression analysis and the LASSO method were used to select diagnostic factors, followed by establishing a DE-ERS gene-based diagnostic model. A nomogram model was further generated to predict the risk of PCOS. The correlation between ERS gene expression and immune cell proportion was assessed. A total of 14 DE-ERS genes associated with "protein processing in endoplasmic reticulum", "ferroptosis", and "glycerophospholipid metabolism" were selected as PCOS-related factors. An eight-DE-ERS genes-based diagnostic model was developed and displayed satisfactory performance in the training (Area under curve (AUC) = 0.983) and validation datasets (AUC = 0.802). High risk of PCOS can be accurately predicted, which might contribute to clinical decision-making. Moreover, EDEM1 expression was significantly positively correlated with naive B cell infiltration, while PDIA6 was negatively correlated with neutrophil proportion (P < 0.001). We identified eight novel molecules and developed an ERS gene-based diagnostic model in PCOS, which might provide novel insight for finding biomarkers and treatment methods.
PubMed: 38955938
DOI: 10.1007/s43032-024-01619-3 -
Doklady. Biochemistry and Biophysics Jul 2024ABSTTACT: -The COVID-19 pandemic has significantly changed the understanding of the safety profile of therapies for immunoinflammatory rheumatic diseases (IRDs). This is...
Results of a 12-Week Open-Label, Non-Interventional Study of the Efficacy and Safety of Olokizumab Therapy in Patients with Rheumatoid Arthritis after Switching from Anti-B-Cell Therapy during the SARS-CoV-2 Pandemic.
UNLABELLED
ABSTTACT: -The COVID-19 pandemic has significantly changed the understanding of the safety profile of therapies for immunoinflammatory rheumatic diseases (IRDs). This is primarily due to the negative impact of a number of basic disease-modifying antirheumatic drugs (DMARDs) and genetically engineered biological drugs (biological DMARDs, or biologics) on the course and outcomes of a new coronavirus infection. A number of studies have shown that anti-B-cell therapy (rituximab) gave a statistically significant increase in the risk of severe COVID-19 and an increase in mortality. At the same time, the analysis of real clinical practice data dictated the need to establish a number of restrictions on the use of certain classes of biologics and to search for alternative therapy programs to maintain control over disease activity.
PURPOSE OF THE STUDY
The purpose of the study was to evaluate the efficacy and safety of the drug Artlegia® (olokizumab), solution for subcutaneous injection, 160 mg/ml-0.4 ml, manufactured by R-Pharm JSC, Russia) for the treatment of patients with rheumatoid arthritis in real clinical practice after switching with rituximab during the COVID-19 pandemic.
MATERIALS AND METHODS
The study included 14 patients with a confirmed diagnosis of rheumatoid arthritis (RA), who were previously on rituximab therapy at a dose of 1000-500 mg twice with an interval of 2 weeks, who received at least one course of therapy with this drug. As RA worsened, patients were switched to olokizumab against the background of standard DMARDs. On weeks 0, 4, 8, and 12 after the switch, the severity of pain was assessed on the VAS scale, the number of tender and swollen joints (TJC28 and SJC28), the level of acute-phase inflammation markers, the DAS28 (disease activity score), ESR, CRP, CDAI (clinical activity index), and the functional state index HAQ (Health Assessment Questionnaire) were determined, as well as the safety profile of therapy was assessed.
RESULTS
Data analysis was performed using median values (Me) were used for data analysis. A significant decrease in TJC28 was detected after 8 and 12 weeks of treatment with olokizumab (Artlegia®) (Me baseline = 10, Me 8 weeks = 4, Me 12 weeks = 4, p < 0.05) and a decrease in TSC28 was detected after 4, 8, and 12 weeks of treatment (Me baseline = 9, Me 4 weeks = 3.5, Me 8 weeks = 2.5, Me 12 weeks = 2.0, p < 0.05). Laboratory markers of inflammation showed a decrease in CRP and ESR levels after 4 weeks of treatment (CRP: Me4 weeks = 21, Me4 weeks = 1, p < 0.05, ESR: Mesno = 31, Me4 weeks = 7, p < 0.05). Positive dynamics persisted on 8 and 12 weeks (CRP: Me 8 weeks = 1, Me 12 weeks = 0; ESR: Me 8 weeks = 4, Me 12 weeks = 5). The level of CRP by week 4 became within the normal range, regardless of the initial values. All activity indices improved from week 4 in each evaluation period compared to baseline: DAS28-ESR: Me baseline = 5.52, Me 4 weeks = 3.59, Me 8 weeks = 3.33, Me 12 weeks = 3.22, p < 0.05; DAS28CRP: Me baseline = 5.39, Me 4 weeks = 3.71, Me 8 weeks = 3.35, Me 12 weeks = 3.45, p < 0.05; CDAI: Me baseline = 28.5, Me 4 weeks = 18.0, Me 8 weeks = 16.5, Me 12 weeks = 16.0, p < 0.05. All patients showed a reduction in pain (VAS scale) by week 8. The functional status of patients, according to the HAQ index, showed a significant decrease only by week 12 of the study: Me baseline = 1.62, Me 12 weeks = 1.31, p < 0.05.
CONCLUSIONS
The study found that switching from rituximab to olokizumab was effective and safe during the COVID-19 pandemic.
PubMed: 38955912
DOI: 10.1134/S1607672924701060 -
Brain Topography Jul 2024Methamphetamine (MA) is a neurological drug, which is harmful to the overall brain cognitive function when abused. Based on this property of MA, people can be divided...
Methamphetamine (MA) is a neurological drug, which is harmful to the overall brain cognitive function when abused. Based on this property of MA, people can be divided into those with MA abuse and healthy people. However, few studies to date have investigated automatic detection of MA abusers based on the neural activity. For this reason, the purpose of this research was to investigate the difference in the neural activity between MA abusers and healthy persons and accordingly discriminate MA abusers. First, we performed event-related potential (ERP) analysis to determine the time range of P300. Then, the wavelet coefficients of the P300 component were extracted as the main features, along with the time and frequency domain features within the selected P300 range to classify. To optimize the feature set, F_score was used to remove features below the average score. Finally, a Bidirectional Long Short-term Memory (BiLSTM) network was performed for classification. The experimental result showed that the detection accuracy of BiLSTM could reach 83.85%. In conclusion, the P300 component of EEG signals of MA abusers is different from that in normal persons. Based on this difference, this study proposes a novel way for the prevention and diagnosis of MA abuse.
PubMed: 38955901
DOI: 10.1007/s10548-024-01062-2 -
Metabolomics : Official Journal of the... Jul 2024Congenital heart disease (CHD) is the most common congenital anomaly, representing a significant global disease burden. Limitations exist in our understanding of... (Observational Study)
Observational Study
INTRODUCTION
Congenital heart disease (CHD) is the most common congenital anomaly, representing a significant global disease burden. Limitations exist in our understanding of aetiology, diagnostic methodology and screening, with metabolomics offering promise in addressing these.
OBJECTIVE
To evaluate maternal metabolomics and lipidomics in prediction and risk factor identification for childhood CHD.
METHODS
We performed an observational study in mothers of children with CHD following pregnancy, using untargeted plasma metabolomics and lipidomics by ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). 190 cases (157 mothers of children with structural CHD (sCHD); 33 mothers of children with genetic CHD (gCHD)) from the children OMACp cohort and 162 controls from the ALSPAC cohort were analysed. CHD diagnoses were stratified by severity and clinical classifications. Univariate, exploratory and supervised chemometric methods were used to identify metabolites and lipids distinguishing cases and controls, alongside predictive modelling.
RESULTS
499 metabolites and lipids were annotated and used to build PLS-DA and SO-CovSel-LDA predictive models to accurately distinguish sCHD and control groups. The best performing model had an sCHD test set mean accuracy of 94.74% (sCHD test group sensitivity 93.33%; specificity 96.00%) utilising only 11 analytes. Similar test performances were seen for gCHD. Across best performing models, 37 analytes contributed to performance including amino acids, lipids, and nucleotides.
CONCLUSIONS
Here, maternal metabolomic and lipidomic analysis has facilitated the development of sensitive risk prediction models classifying mothers of children with CHD. Metabolites and lipids identified offer promise for maternal risk factor profiling, and understanding of CHD pathogenesis in the future.
Topics: Humans; Heart Defects, Congenital; Female; Metabolomics; Mothers; Lipidomics; Adult; Child; Lipids; Chromatography, High Pressure Liquid; Metabolome; Male; Pregnancy; Mass Spectrometry
PubMed: 38955892
DOI: 10.1007/s11306-024-02129-8