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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 -
Techniques in Coloproctology Jul 2024Laser hemorrhoidoplasty has demonstrated significant therapeutic effectiveness. To diminish postoperative bleeding and enhance overall outcomes, we have additionally...
BACKGROUND
Laser hemorrhoidoplasty has demonstrated significant therapeutic effectiveness. To diminish postoperative bleeding and enhance overall outcomes, we have additionally adopted suture ligating the feeding vessels. This study aimed to understand the treatment outcomes and any associated complications.
METHODS
This study comprised patients with symptomatic grade II-III hemorrhoids who underwent laser hemorrhoidoplasty with feeding vessel suture ligation and Milligan-Morgan hemorrhoidectomy between 1 September 2020, and 31 August 2022. Surgical-related details, postoperative pain, discomfort after discharge, hemorrhoid recurrence, and any complications were collected from inpatient records, outpatient follow-ups, and telephone interviews. Initially, we will analyze the distinctions between the laser group and the traditional group, followed by an investigation into complications and satisfaction within the laser surgery subgroup.
RESULTS
The study included 323 patients, with 173 undergoing laser hemorrhoidoplasty (LHP) and 150 undergoing Milligan-Morgan hemorrhoidectomy. Regarding pain assessment, the LHP group exhibited superior performance compared to traditional surgery at postoperative 4 h, before discharge, and during the first and second outpatient visits, with statistically significant differences. Additionally, the LHP group had a lower rate of urinary retention and experienced significantly less pain, with statistically significant differences.
CONCLUSIONS
Laser hemorrhoidoplasty with feeding vessels suture ligation has been shown to reduce postoperative pain and appears to be a promising minimally invasive treatment option for symptomatic grade II and III hemorrhoids.
Topics: Humans; Hemorrhoids; Ligation; Female; Retrospective Studies; Male; Hemorrhoidectomy; Middle Aged; Treatment Outcome; Adult; Pain, Postoperative; Laser Therapy; Suture Techniques; Aged; Recurrence; Postoperative Complications; Patient Satisfaction; Sutures
PubMed: 38955875
DOI: 10.1007/s10151-024-02940-4 -
European Spine Journal : Official... Jul 2024This study aimed to develop and validate a predictive model for osteoporotic vertebral fractures (OVFs) risk by integrating demographic, bone mineral density (BMD), CT...
OBJECTIVE
This study aimed to develop and validate a predictive model for osteoporotic vertebral fractures (OVFs) risk by integrating demographic, bone mineral density (BMD), CT imaging, and deep learning radiomics features from CT images.
METHODS
A total of 169 osteoporosis-diagnosed patients from three hospitals were randomly split into OVFs (n = 77) and Non-OVFs (n = 92) groups for training (n = 135) and test (n = 34). Demographic data, BMD, and CT imaging details were collected. Deep transfer learning (DTL) using ResNet-50 and radiomics features were fused, with the best model chosen via logistic regression. Cox proportional hazards models identified clinical factors. Three models were constructed: clinical, radiomics-DTL, and fusion (clinical-radiomics-DTL). Performance was assessed using AUC, C-index, Kaplan-Meier, and calibration curves. The best model was depicted as a nomogram, and clinical utility was evaluated using decision curve analysis (DCA).
RESULTS
BMD, CT values of paravertebral muscles (PVM), and paravertebral muscles' cross-sectional area (CSA) significantly differed between OVFs and Non-OVFs groups (P < 0.05). No significant differences were found between training and test cohort. Multivariate Cox models identified BMD, CT values of PVM, and CSA reduction as independent OVFs risk factors (P < 0.05). The fusion model exhibited the highest predictive performance (C-index: 0.839 in training, 0.795 in test). DCA confirmed the nomogram's utility in OVFs risk prediction.
CONCLUSION
This study presents a robust predictive model for OVFs risk, integrating BMD, CT data, and radiomics-DTL features, offering high sensitivity and specificity. The model's visualizations can inform OVFs prevention and treatment strategies.
PubMed: 38955868
DOI: 10.1007/s00586-024-08235-4 -
European Archives of... Jul 2024The purpose of this study was to assess how well ChatGPT, an AI-powered chatbot, performed in helping to manage pediatric sialadenitis and identify when sialendoscopy...
OBJECTIVE
The purpose of this study was to assess how well ChatGPT, an AI-powered chatbot, performed in helping to manage pediatric sialadenitis and identify when sialendoscopy was necessary.
METHODS
49 clinical cases of pediatric sialadenitis were retrospectively reviewed. ChatGPT was given patient data, and it offered differential diagnoses, proposed further tests, and suggested treatments. The decisions made by the treating otolaryngologists were contrasted with the answers provided by ChatGPT. Analysis was done on ChatGPT response consistency and interrater reliability.
RESULTS
ChatGPT showed 78.57% accuracy in primary diagnosis, and 17.35% of cases were considered likely. On the other hand, otolaryngologists recommended fewer further examinations than ChatGPT (111 vs. 60, p < 0.001). For additional exams, poor agreement was found between ChatGPT and otolaryngologists. Only 28.57% of cases received a pertinent and essential treatment plan via ChatGPT, indicating that the platform's treatment recommendations were frequently lacking. For treatment ratings, judges' interrater reliability was greatest (Kendall's tau = 0.824, p < 0.001). For the most part, ChatGPT's response constancy was high.
CONCLUSIONS
Although ChatGPT has the potential to correctly diagnose pediatric sialadenitis, there are a number of noteworthy limitations with regard to its ability to suggest further testing and treatment regimens. Before widespread clinical use, more research and confirmation are required. To guarantee that chatbots are utilized properly and effectively to supplement human expertise rather than to replace it, a critical viewpoint is required.
PubMed: 38955859
DOI: 10.1007/s00405-024-08798-4 -
Radiologie (Heidelberg, Germany) Jul 2024The role of radiology in the diagnosis of interstitial lung diseases (ILDs) has evolved over time, in part replacing histology. Radiology now represents a pillar of... (Review)
Review
BACKGROUND
The role of radiology in the diagnosis of interstitial lung diseases (ILDs) has evolved over time, in part replacing histology. Radiology now represents a pillar of diagnostics and monitoring in ILDs.
OBJECTIVE
To what extent does radiology influence diagnostics and treatment in ILDs?
MATERIALS AND METHODS
A literature review was conducted, and current findings were discussed in the context of clinical data.
RESULTS
Radiology plays a crucial role in the diagnosis of ILDs. Within the framework of the multidisciplinary conference, it provides specific CT patterns such as usual interstitial pneumonia (UIP), nonspecific interstitial pneumonia (NSIP), and organizing pneumonia (OP), or helps in identifying cystic lung diseases. Multicompartment diseases can be detected, and pulmonary hypertension or extrapulmonary involvement of the respective diseases can be suspected. Progressive pulmonary fibrosis requires radiologic assessment as one of the required criteria. Interstitial lung abnormalities are usually detected by radiological studies performed for an unrelated indication.
CONCLUSION
Radiology plays an important role within the multidisciplinary conference to determine both diagnosis and treatment with antifibrotic or anti-inflammatory drugs, or a combination of both.
PubMed: 38955843
DOI: 10.1007/s00117-024-01340-x -
Archives of Gynecology and Obstetrics Jul 2024This is a retrospective comparative study. We aimed to analyze the results of karyotype and chromosomal microarray analysis (CMA) of amniotic fluid across different...
PURPOSE
This is a retrospective comparative study. We aimed to analyze the results of karyotype and chromosomal microarray analysis (CMA) of amniotic fluid across different gestational weeks and evaluate the clinical value in prenatal diagnosis, particularly in the late pregnancies.
METHODS
Samples from 580 pregnant women of 18-23 weeks of gestation (mid-gestation group) and 196 pregnant women of 24-32 weeks of gestation (late group) were performed both standard G-band karyotype analysis and CMA.
RESULTS
Among the 580 pregnant women in the routine group, the most common indications were positive Down's screening (213/580, 36.7%), followed by advanced maternal age (196/580, 33.8%); while fetal structural anomalies on ultrasonography were the top reason for amniocentesis in the late group (56/196, 28.6%). In the routine group, the total detection rate was 12.1% (70/580), of which 4.1% (24/580) were identified by karyotype analysis and 11.2% (65/580) by CMA. The total detection rate was 15.3% (30/196) in the late group, of which 5.1% (10/196) were detected by karyotype analysis, and 14.3% (28/196) by CMA.
CONCLUSION
Karyotype analysis and CMA are complementary in detecting chromosomal abnormalities. Amniotic cavity puncture in the karyotype analysis in 18-23 weeks of gestation and 24-32 weeks of gestation is safe and effective, more obvious effect on the latter.
PubMed: 38955819
DOI: 10.1007/s00404-024-07602-2 -
[Zhonghua Yan Ke Za Zhi] Chinese... Jul 2024To explore the characteristics of refractive parameters and retinal and choroidal blood flow in dominant and non-dominant eyes. A cross-sectional study. Students who...
To explore the characteristics of refractive parameters and retinal and choroidal blood flow in dominant and non-dominant eyes. A cross-sectional study. Students who were 18 to 32 years old and had emmetropia or myopia but no systemic diseases were recruited from universities in Wuhu, Anhui Province from April 2019 to August 2023. They were divided into 4 groups based on the difference in spherical equivalent between two eyes:<0.50 D (group A), 0.50 to 1.74 D (group B), 1.75 to 2.49 D (group C), and≥2.50 D (group D). The card hole method was used to determine the dominant eye. The refractive parameters of both eyes were recorded, including spherical equivalent, myopia degree, astigmatism degree, axial length, and corneal curvature difference (K2-K1). Optical coherence tomography angiography was performed to measure the blood flow density of the superficial retinal capillaries, deep retinal capillaries (DVC), avascular layer (AC), entire retina, choroidal capillaries, and choroidal vessels, as well as the retina and choroid as a whole. Statistical analysis was conducted using the paired sample -test, chi square test, and variance analysis. A total of 78 eligible subjects, aged (24.50±2.36) years old, 28 males and 50 females, were included. Fifty subjects had the right eye and 28 had the left eye as the dominant eye. Forty-two subjects had high myopia in the dominant eye, and 30 had high myopia in the non-dominant eye. There were statistically significant differences (all <0.05) in the spherical equivalent [(-4.588±2.534) D . (-4.058±2.453) D], myopic spherical power [(-4.253±2.504) D . (-3.779±2.425) D], and axial length [(25.531±1.212) mm . (25.256±1.238) mm] between dominant and non-dominant eyes among all subjects, as well as in the astigmatism degree of groups A and C, spherical power of groups B to D, and spherical power and axial length of groups C and D. There were also statistically significant differences (all <0.05) in the blood flow density of the DVC [(0.291±0.130) . (0.257±0.148)], AC [(0.347±0.118) . (0.326±0.126)], and overall retina and choroid [(0.385±0.102) . (0.349±0.084)] between dominant and non-dominant eyes among all subjects, as well as in the blood flow density of the superficial retinal capillaries, DVC, AC, choroidal capillaries, and overall retina and choroid of groups C and D, density of the choroidal vessels of group C, and density of the entire retina of group D. In young individuals with emmetropia or near vision, the degree of myopia in dominant eyes is higher than that in non-dominant eyes. When the difference in the spherical equivalent between two eyes is ≥1.75 D, the blood flow density of the retina and choroid in the dominant eye is greater than that in the non-dominant eye.
Topics: Humans; Male; Female; Cross-Sectional Studies; Adult; Young Adult; Refraction, Ocular; Myopia; Choroid; Adolescent; Retina; Retinal Vessels; Astigmatism; Regional Blood Flow
PubMed: 38955761
DOI: 10.3760/cma.j.cn112142-20240205-00066