Stages Of Disease Progression Research Articles

Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease.

Recent advancements in hyperspectral imaging (HSI) for early disease detection have shown promising results, yet there is a lack of validated high-resolution (spatial and spectral) HSI data representing the responses of plants at different stages of leaf disease progression. To address these gaps, we used bacterial leaf spot (Xanthomonas perforans) of tomato as a model system. Hyperspectral images of tomato leaves, validated against in planta pathogen populations for seven consecutive days, were analyzed to reveal differences between infected and healthy leaves. Machine learning models were trained using leaf-level full spectra data, leaf-level Vegetation index (VI) data, and pixel-level full spectra data at four disease progression stages. The results suggest that HSI can detect disease on tomato leaves at pre-symptomatic stages and differentiate bacterial disease spots from abiotic leaf spots. Using VI data as features for machine learning improved overall classification performance by 26-37% compared to the direct use of raw data. Critical wavelength bands and VIs varied across disease progression stages, suggesting that pre-symptomatic disease detection relied more on changes in leaf water content (1400nm) and plant defense hormone-mediated responses (750nm) rather than changes in leaf pigments or internal structure (800-900nm), which may become more crucial during symptomatic stages. In conclusion, this study provides valuable insights into the dynamics of bacterial spot disease, revealing the potential benefits of leaf structure segmentation and VI group pattern analysis in HSI studies for the early detection of leaf diseases.

Physical exercise halts further functional decline in an animal model for Charcot-Marie-Tooth disease 1X at an advanced disease stage.

Charcot-Marie-Tooth (CMT) type 1 neuropathies are the most common inherited diseases of the peripheral nervous system. Although more than 100 causative genes have been identified so far, therapeutic options are still missing. We could previously identify that early-onset physical exercise (voluntary wheel running, VWR) dampens peripheral nerve inflammation, improves neuropathological alterations, and clinical outcome in Cx32def mice, a model for CMT1X. We here investigate the clinical and histopathological effect of late-onset exercise in Cx32def mice at an advanced disease stage. Nine-month-old Cx32def mice were allowed to run for 4 days/week on a commercially available running wheel for 3 months, with timely limited access to running wheels, representing a running distance of ~2000 m. Control mutants had no access to running wheels. Afterward, mice were investigated by distinct functional tests and by immunohistochemical and electron microscopical techniques. We found that late-onset physical exercise (late VWRlim) prevented the robust functional decline in 12-month-old Cx32def mice. This was accompanied by improved neuromuscular innervation of distal muscles and axonal preservation in femoral quadriceps nerves. In contrast to a "pre-symptomatic" start of physical exercise in Cx32def mice, late-onset VWR did not alter nerve inflammation and myelin thickness at 12 months of age. We conclude that VWR has robust beneficial effects on nerve function in Cx32def mice, even when applied at a progressed disease stage. These results have important translational implications, suggesting that physical exercise might be an effective treatment option for CMT1 patients, even when disease symptoms have already progressed.

Supramolecular arrangements in human amyloid tissues using SAXS

Amyloid diseases are characterized by the accumulation of misfolded protein aggregates in human tissues, pose significant challenges for both diagnosis and treatment. Protein aggregations known as amyloids are linked to several neurodegenerative conditions including Alzheimer's disease, Parkinson's disease, and systemic amyloidosis. The key goal of this research is to employ Small-Angle X-ray Scattering (SAXS) to examine the supramolecular structures of amyloid aggregates in human tissues. We present the structural analysis of amyloid using SAXS, which is employed directly to analyze thin tissue samples without damaging the tissues. This technique provides size and shape information of fibrils, which can be used to generate low-resolution 2D models. The present study investigates the structural changes in amyloid fibril axial d-spacing and scattering intensity in different human tissues, including kidney, heart, thyroid, and others, while also accounting for the presence of triglycerides in these tissues. Tissue structural components were examined at momentum transfer values between q = 0.2 nm−1 and 1.5 nm−1. The d-spacing is a critical parameter in SAXS that provides information about the periodic distances between structures within a sample. From the supramolecular SAXS patterns, the axial d-spacing of fibrils in amyloid tissues is prominent and exists within the 3rd to 10th order, compared to that of healthy tissues which do not have notable peak orders. The axial period of fibrils in amyloid tissues is within the scattering vector range 57.40–64.64 nm−1 while in normal tissues the range is between 60.68 and 61.41 nm−1, which is 3.0 nm−1 smaller than amyloid-containing tissues. Differences in d-spacing are often correlate with distinct pathological mechanisms or stages of disease progression. The application of SAXS to investigate amyloid structures in human tissues has enormous potential to further knowledge of amyloid disorders. This work will open the path for novel diagnostic instruments and therapeutic strategies meant to reduce the burden of amyloid-related diseases by offering a thorough structural examination of amyloid aggregates.

Association between CD20+ T lymphocytes and neuropsychological findings in multiple sclerosis.

CD20+ T lymphocytes are a subset of circulating T cells presenting the CD20+ receptor, a molecular marker of B lineage. CD20+ T lymphocytes are thought to play a pivotal role in multiple sclerosis (MS) pathology, especially at progressive stages. We aimed to investigate the correlation between CD20+ T lymphocytes and neuropsychological features (i.e., cognition, depression, anxiety, fatigue, and sleep quality) in MS patients. We enrolled 90 MS patients. Each patient underwent cognitive assessment (Brief International Cognitive Assessment for Multiple Sclerosis) and psychometric assessment (modified Fatigue Impact Scale, Beck Anxiety Inventory, Beck Depression Inventory, Pittsburgh Sleep Quality Index). Cognitive status was defined through the cerebral functional score. Forty-four of 90 patients were relapsing-remitting (49%) and 46 were progressive patients (51%). Seventy patients (18.9%) showed CD20+ T lymphocytes in peripheral blood with a mean level of 0.38 ± 1.2%. Patients with CD20+ T lymphocytes were more likely to be at progressive phases (76.5% vs. 23.5%, p = 0.02) and showed a higher Expanded Disability Status Scale score (median [range] = 6.0 [1.5-7.5] vs. 3.5 [1-7.5], p = 0.001). Moreover, patients with CD20+ T lymphocytes showed worse cognitive functioning (p = 0.004), higher global fatigue symptoms (p = 0.02), higher cognitive fatigue (p = 0.01), higher psychosocial fatigue (p = 0.005), and a trend toward worse sleep quality (p = 0.06). The presence of CD20+ T lymphocytes in the peripheral blood of MS patients was associated with worse neuropsychological functioning and progressive disease stages. Peripheral CD20+ T lymphocytes could potentially serve as markers for both disease progression and development of fatigue in MS patients.

Positron Emission Tomography/Computed Tomography Imaging in Therapeutic Clinical Trials in Alzheimer's Disease: AnOverview of the Current State of the Artof Research.

The integration of positron emission tomography/computed tomography (PET/CT) has revolutionized the landscape of Alzheimer's disease (AD) research and therapeutic interventions. By combining structural and functional imaging, PET/CT provides a comprehensive understanding of disease pathology and response to treatment assessment. PET/CT, particularly with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (18F-FDG), facilitates the visualization of glucose metabolism in the brain, enabling early diagnosis, staging, and monitoring of neurodegenerative disease progression. The advent of amyloid and tau PET imaging has further propelled the field forward, offering invaluable tools for tracking pathological hallmarks, assessing treatment response, and predicting clinical outcomes. While some therapeutic interventions targeting amyloid plaque load showed promising results with the reduction of cerebral amyloid accumulation over time, others failed to demonstrate a significant impact of anti-amyloid agents for reducing the amyloid plaques burden in AD brains. Tau PET imaging has conversely fueled the advent of disease-modifying therapeutic strategies in AD by supporting the assessment of neurofibrillary tangles of tau pathology deposition over time. Looking ahead, PET imaging holds immense promise for studying additional targets such as neuroinflammation, cholinergic deficit, and synaptic dysfunction. Advances in radiotracer development, dedicated brain PET/CT scanners, and Artificial Intelligence-powered software are poised to enhance the quality, sensitivity, and diagnostic power of molecular neuroimaging. Consequently, PET/CT remains at the forefront of AD research, offering unparalleled opportunities for unravelling the complexities of the disease and advancing therapeutic interventions, although it is not yet enough alone to allow patients' recruitment in therapeutic clinical trials.

Costs of Illness for Huntington's Disease: A Systematic Review.

Huntington's disease (HD) is associated with significant financial burden for patients and payers. The objective was to identify and quantify costs of HD by stage of disease progression. A systematic search of Medline, Embase, Scopus, and Cochrane Library was used to identify types of costs that are frequently reported for individuals diagnosed with HD and to quantify those costs across early, middle, and late stages of HD. Full-text, original research articles were included if they reported costs specific to HD burden. To standardize stage-level costs, Shoulson Fahn and Barthel Index scores were combined to estimate the cost for early, middle-, and late-stage HD. A total of 692 abstracts were identifie,d and following abstract screening, a total of 80 full-text articles were reviewed for inclusion. Only five studies were included for extraction and synthesis including three from the USA, one from the United Kingdom (UK), and one from Peru. Annual inpatient, outpatient, drug costs, and caregiving costs all increased substantially as disease progressed. Outpatient costs were approximately 2.5 times greater than inpatient costs for early and middle stages of HD. Among all the costs associated with HD, annual caregiver cost emerges as the most significant costs in the economic burden of HD, ranging from a minimum of $6041 for early stage to a maximum of $133,200 for late-stage HD. Significant variation was observed across studies, especially comparing costs observed in Peru with the USA and UK. Outpatient costs exceed inpatient costs, especially in early and middle stages, underscoring the importance of outpatient care. All costs seem to rise rapidly, in a nonlinear fashion, as patients advance to later stages. While only two studies reported caregiver burden, these costs were significanly higher in the most severe stage, where patients were completely dependent on a caregiver. This review highlights the complexity of cost assessment in HD and underscores the need for consistent methods and further research to guide effective policy actions.

The Role of Macrophages in the Pathogenesis of Celiac Disease

Aim: to present data on the involvement of macrophages in the pathogenesis of celiac disease and the development of possible treatment methods for this disease aimed at changing the function of macrophages.Key points. Celiac disease is an autoimmune disease with a characteristic serological (antibodies to tissue transglutaminase, endomysium, deamidated gliadin peptides) and histological profile (inflammatory infiltration of the villous epithelium by lymphocytes and their atrophy, crypt hyperplasia) caused by gluten consumption in genetically predisposed individuals. Macrophages, as key cells that provide a link between innate and adaptive immunity, are of significant importance in the pathogenesis of celiac disease. Gliadin peptides stimulate the activation of macrophages according to the proinflammatory phenotype with the production of cytokines, which causes the immune response of T-helpers 1 and T-helpers 17. The result of these processes is the development of an inflammatory reaction and damage to the intestinal mucosa due to the production of matrix metalloproteinases and reactive oxygen species by macrophages. Therapeutic tactics for celiac disease today include a gluten-free diet, which is not so easy to follow. Of interest is the study of the possibility of using polyphenols in celiac disease, which are capable of precipitating gliadins and inhibiting the polarization of macrophages towards a proinflammatory phenotype, while simultaneously stimulating an increase in the population of macrophages of an anti-inflammatory phenotype associated with a decrease in tissue damage.Conclusion. Impaired macrophage function/differentiation results in either inadequate, excessive immune activation or failure to mount effective protective immune responses against pathogens, which may result in the development of gastrointestinal diseases. Studying the involvement of macrophages at different stages of celiac disease progression is important for the development of new treatments for this disease.

A timeline study on vascular co-morbidity induced cerebral endothelial dysfunction assessed by perfusion MRI

Endothelial dysfunction is considered a key element in the early pathogenesis of neurodegenerative disorders. Dysfunction of the cerebral endothelial cells can result in dysregulation of cerebral perfusion and disruption of the Blood Brain Barrier (BBB), leading to brain damage, neurodegeneration and cognitive decline. It has been shown that the presence of modifiable risk factors exacerbates endothelial dysfunction. This study primarily aimed to identify which among various perfusion MRI methodologies could be effectively utilized to non-invasively identify early pathological alterations as a result of endothelial dysfunction. We compared these perfusion MRI measurements to invasive immunohistochemistry to detect early pathological alterations in the cerebral vasculature of a rat model of multiple cardiovascular co-morbidities (the ZSF1 Obese rat) at several stages of the cerebrovascular pathology. We observed cerebral hyperperfusion, expressed by increased Cerebral Blood Flow (CBF) and increased BBB permeability in the ZSF1 Obese rats, at an early stage of disease development. The increase in CBF observed with Arterial Spin Labeling (ASL) was lost during later stages of disease progression. These findings are in line with recent clinical findings in early stages of Alzheimer's disease (AD), that also show early increases in CBF.

Super-resolution ultrasound imaging reveals temporal cerebrovascular changes with disease progression in female 5×FAD mouse model of Alzheimer's disease: correlation with pathological impairments

Vascular dysfunction is closely associated with the progression of Alzheimer's disease (AD). A critical research gap exists that no studies have explored the invivo temporal changes of cerebrovascular alterations with AD progression in mouse models, encompassing both structure and flow dynamics at micron-scale resolution across the early, middle, and late stages of the disease. In this study, ultrasound localisation microscopy (ULM) was applied to image the cerebrovascular alterations of the transgenic female 5×FAD mouse model across different stages of disease progression: early (4 months), moderate (7 months), and late (12 months). Age-matched non-transgenic (non-Tg) littermates were used as controls. Immunohistology examinations were performed to evaluate the influence of disease progression on the β-amyloid (Aβ) load and microvascular alterations, including morphological changes and the blood-brain barrier (BBB) leakage. Our findings revealed a significant decline in both vascular density and flow velocity in the retrosplenial cortex of 5×FAD mice at an early stage, which subsequently became more pronounced in the visual cortex and hippocampus as the disease progressed. Additionally, we observed a reduction in vascular length preceding diminished flow velocities in cortical penetrating arterioles during the early stages. The quantification of vascular metrics derived from ULM imaging showed significant correlations with those obtained from vascular histological images. Immunofluorescence staining identified early vascular abnormalities in the retrosplenial cortex. As the disease advanced, there was an exacerbation of Aβ accumulation and BBB disruption in a regionally variable manner. The vascular changes observed through ULM imaging exhibited a negative correlation with amyloid load and were associated with the compromise of the BBB integrity. Through high-resolution, invivo imaging of cerebrovasculature, this study reveals significant spatiotemporal dysfunction in cerebrovascular dynamics accompanying disease progression in a mouse model of AD, enhancing our understanding of its pathophysiology. This study is supported by grants from National Key Research and Development Program of China (2020YFA0908800), National Natural Science Foundation of China (12074269, 82272014, 82327804, 62071310), Shenzhen Basic Science Research (20220808185138001, JCYJ20220818095612027, JCYJ20210324093006017), STI 2030-Major Projects (2021ZD0200500) and Guangdong Natural Science Foundation (2024A1515012591, 2024A1515011342).

Characterization and Automatic Discrimination between Predominant Hypoperfusion and Hyperperfusion Stages of NPDR.

Diabetic retinopathy (DR) is a common diabetes complication that can lead to blindness through vision-threatening complications like clinically significant macular edema and proliferative retinopathy. Identifying eyes at risk of progression using non-invasive methods could help develop targeted therapies to halt diabetic retinal disease progression. A set of 82 imaging and systemic features was used to characterize the progression of nonproliferative diabetic retinopathy (NPDR). These features include baseline measurements (static features) and those capturing the temporal dynamic behavior of these static features within one year (dynamic features). Interpretable models were trained to distinguish between eyes with Early Treatment Diabetic Retinopathy Study (ETDRS) level 35 and eyes with ETDRS levels 43-47. The data used in this research were collected from 109 diabetic type 2 patients (67.26 ± 2.70 years; diabetes duration 19.6 ± 7.26 years) and acquired over 2 years. The characterization of the data indicates that NPDR progresses from an initial stage of hypoperfusion to a hyperperfusion response. The performance of the classification model using static features achieved an area under the curve (AUC) of the receiver operating characteristics equal to 0.84 ± 0.07, while the model using both static and dynamic features achieved an AUC of 0.91 ± 0.05. NPDR progresses through an initial hypoperfusion stage followed by a hyperperfusion response. Characterizing and automatically identifying this disease progression stage is valuable and necessary. The results indicate that achieving this goal is feasible, paving the way for the improved evaluation of progression risk and the development of better-targeted therapies to prevent vision-threatening complications.

Slipped capital femoral epiphysis: emphasis on early recognition and potential pitfalls.

Slipped capital femoral epiphysis is a shearing injury through the growth plate of the proximal femur and is the most common hip disorder in adolescence. Delays in diagnosis persist across practice settings despite ongoing innovations in imaging. Recent insights into pathomechanics highlight the importance of femoral head surface morphology and rotational microinstability centered at the epiphyseal tubercle in causing early physeal changes, which can be detected on imaging prior to frank slip. Scrutiny of physeal morphology and comparison to the contralateral hip is critical at all stages of disease progression, and improper technique may result in undue diagnostic delay. Selective use of cross-sectional imaging can be helpful for troubleshooting equivocal early slips and can inform operative technique and adjuvant therapy candidacy in more severe cases. This review provides a comprehensive approach to imaging suspected slipped capital femoral epiphysis, with an emphasis on early detection and potential pitfalls.

Olfr2-positive macrophages originate from monocytes proliferate in situ and present a pro-inflammatory foamy-like phenotype.

Olfactory receptor 2 (Olfr2) has been identified in a minimum of 30% of vascular macrophages, and its depletion was shown to reduce atherosclerosis progression. Mononuclear phagocytes, including monocytes and macrophages within the vessel wall, are major players in atherosclerosis. Single-cell RNA sequencing studies revealed that atherosclerotic artery walls encompass several monocytes and vascular macrophages, defining at least nine distinct subsets potentially serving diverse functions in disease progression. This study investigates the functional phenotype and ontogeny of Olfr2-expressing vascular macrophages in atherosclerosis. Olfr2+ macrophages rapidly increase in Apoe-/- mice's aorta when fed a Western diet (WD). Mass cytometry showed that Olfr2+ cells are clustered within the CD64 high population and enriched for CD11c and Ccr2 markers. Olfr2+ macrophages express many pro-inflammatory cytokines, including Il1b, Il6, Il12, and Il23, and chemokines, including Ccl5, Cx3cl1, Cxcl9, and Ccl22. By extracting differentially expressed genes from bulk RNA sequencing (RNA-seq) of Olfr2+ vs. Olfr2- macrophages, we defined a signature that significantly mapped to single-cell data of plaque myeloid cells, including monocytes, subendothelial MacAir, and Trem2Gpnmb foamy macrophages. By adoptive transfer experiments, we identified that Olfr2 competent monocytes from CD45.1Apoe-/-Olfr2+/+ mice transferred into CD45.2Apoe-/-Olfr2-/- recipient mice fed WD for 12 weeks, accumulate in the atherosclerotic aorta wall already at 72 h, and differentiate in macrophages. Olfr2+ macrophages showed significantly increased BrdU incorporation compared to Olfr2- macrophages. Flow cytometry confirmed that at least 50% of aortic Olfr2+ macrophages are positive for BODIPY staining and have increased expression of both tumour necrosis factor and interleukin 6 compared to Olfr2- macrophages. Gene set enrichment analysis of the Olfr2+ macrophage signature revealed a similar enrichment pattern in human atherosclerotic plaques, particularly within foamy/TREM2hi-Mφ and monocytes. In summary, we conclude that Olfr2+ macrophages in the aorta originate from monocytes and can accumulate at the early stages of disease progression. These cells can undergo differentiation into MacAir and Trem2Gpnmb foamy macrophages, exhibiting proliferative and pro-inflammatory potentials. This dynamic behaviour positions them as key influencers in shaping the myeloid landscape within the atherosclerotic plaque.

Early brain neuroinflammatory and metabolic changes identified by dual tracer microPET imaging in mice with acute liver injury.

Acute liver injury (ALI) that progresses into acute liver failure (ALF) is a life-threatening condition with an increasing incidence and associated costs. Acetaminophen (N-acetyl-p-aminophenol, APAP) overdosing is among the leading causes of ALI and ALF in the Northern Hemisphere. Brain dysfunction defined as hepatic encephalopathy is one of the main diagnostic criteria for ALF. While neuroinflammation and brain metabolic alterations significantly contribute to hepatic encephalopathy, their evaluation at early stages of ALI remained challenging. To provide insights, we utilized post-mortem analysis and non-invasive brain micro positron emission tomography (microPET) imaging of mice with APAP-induced ALI. Male C57BL/6 mice were treated with vehicle or APAP (600 mg/kg, i.p.). Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), liver damage (using H&E staining), hepatic and serum IL-6 levels, and hippocampal IBA1 (using immunolabeling) were evaluated at 24h and 48h. Vehicle and APAP treated animals also underwent microPET imaging utilizing a dual tracer approach, including [ 11 C]-peripheral benzodiazepine receptor ([ 11 C]PBR28) to assess microglia/astrocyte activation and [ 18 F]-fluoro-2-deoxy-2-D-glucose ([ 18 F]FDG) to assess energy metabolism. Brain images were pre-processed and evaluated using conjunction and individual tracer uptake analysis. APAP-induced ALI and hepatic and systemic inflammation were detected at 24h and 48h by significantly elevated serum ALT and AST levels, hepatocellular damage, and increased hepatic and serum IL-6 levels. In parallel, increased microglial numbers, indicative for neuroinflammation were observed in the hippocampus of APAP-treated mice. MicroPET imaging revealed overlapping increases in [ 11 C]PBR28 and [ 18 F]FDG uptake in the hippocampus, thalamus, and habenular nucleus indicating microglial/astroglial activation and increased energy metabolism in APAP-treated mice (vs. vehicle-treated mice) at 24h. Similar significant increases were also found in the hypothalamus, thalamus, and cerebellum at 48h. The individual tracer uptake analyses (APAP vs vehicle) at 24h and 48h confirmed increases in these brain areas and indicated additional tracer- and region-specific effects including hippocampal alterations. Peripheral manifestations of APAP-induced ALI in mice are associated with brain neuroinflammatory and metabolic alterations at relatively early stages of disease progression, which can be non-invasively evaluated using microPET imaging and conjunction analysis. These findings support further PET-based investigations of brain function in ALI/ALF that may inform timely therapeutic interventions.

Brain organoids: A new tool for modelling of neurodevelopmental disorders.

Neurodevelopmental disorders are mostly studied using mice as models. However, the mouse brain lacks similar cell types and structures as those of the human brain. In recent years, emergence of three-dimensional brain organoids derived from human embryonic stem cells or induced pluripotent stem cells allows for controlled monitoring and evaluation of early neurodevelopmental processes and has opened a window for studying various aspects of human brain development. However, such organoids lack original anatomical structure of the brain during maturation, and neurodevelopmental maturation processes that rely on unique cellular interactions and neural network connections are limited. Consequently, organoids are difficult to be used extensively and effectively while modelling later stages of human brain development and disease progression. To address this problem, several methods and technologies have emerged that aim to enhance the sophisticated regulation of brain organoids developmental processes through bioengineering approaches, which may alleviate some of the current limitations. This review discusses recent advances and application areas of human brain organoid culture methods, aiming to generalize optimization strategies for organoid systems, improve the ability to mimic human brain development, and enhance the application value of organoids.

Clinical factors associated with canine subclinical myxomatous mitral valve disease stage progression in South Korea

Clinical factors associated with canine subclinical myxomatous mitral valve disease stage progression in South Korea

Mondrian Abstraction and Language Model Embeddings for Differential Pathway Analysis.

In this study, we introduce the Mondrian Map, an innovative visualization tool inspired by Piet Mondrian's abstract art, to address the complexities inherent in visualizing biological networks. By converting intricate biological data into a structured and intuitive format, the Mondrian Map enables clear and meaningful representations of biological pathways, facilitating a deeper understanding of molecular dynamics. Each pathway is represented by a square whose size corresponds to fold change, with color indicating the direction of regulation (up or down) and statistical significance. The spatial arrangement of pathways is derived from language model embeddings, preserving neighborhood relationships and enabling the identification of clusters of related pathways. Additionally, colored lines highlight potential crosstalk between pathways, with distinctions between short- and long-range functional interactions. In a case study of glioblastoma multiforme (GBM), the Mondrian Map effectively revealed distinct pathway patterns across patient profiles at different stages of disease progression. These insights demonstrate the tool's potential to enhance downstream bioinformatics analysis by providing a more comprehensive and visually accessible overview of pathway interactions, offering new avenues for therapeutic exploration and personalized medicine.

Potential for eliminating COVID-19 in Thailand through third-dose vaccination: A modeling approach.

The COVID-19 pandemic continues to pose significant challenges to global public health, necessitating the development of effective vaccination strategies to mitigate disease transmission. In Thailand, the COVID-19 epidemic has undergone multiple waves, prompting the implementation of various control measures, including vaccination campaigns. Understanding the dynamics of disease transmission and the impact of vaccination strategies is crucial for guiding public health interventions and optimizing epidemic control efforts. In this study, we developed a comprehensive mathematical model, termed $ S{S}_{v}I{H}_{1}C{H}_{2}RD $, to elucidate the dynamics of the COVID-19 epidemic in Thailand. The model incorporates key epidemiological parameters, vaccination rates, and disease progression stages to assess the effectiveness of different vaccination strategies in curbing disease transmission. Parameter estimation and model fitting were conducted using real-world data from COVID-19 patients in Thailand, enabling the simulation of epidemic scenarios and the exploration of optimal vaccination rates. Our results showed that optimizing vaccination strategies, particularly by administering approximately 119,625 doses per day, can significantly reduce the basic reproduction number ($ {R}_{0} $) below 1, thereby accelerating epidemic control. Simulation results demonstrated that the optimal vaccination rate led to a substantial decrease in the number of infections, with the epidemic projected to be completely eradicated from the population by June 19, 2022. These findings underscore the importance of targeted vaccination efforts and proactive public health interventions in mitigating the spread of COVID-19 and minimizing the burden on healthcare systems. Our study provides valuable insights into the optimization of vaccination strategies for epidemic control, offering guidance for policymakers and healthcare authorities in Thailand and beyond. By leveraging mathematical modeling techniques and real-world data, stakeholders can develop evidence-based strategies to combat the COVID-19 pandemic and safeguard public health.

The combined application of oligoclonal bands in cerebrospinal fluid and IgG intrathecal synthesis indicators and biochemical markers in the diagnosis of multiple sclerosis

Objective: To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers. Methods: Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions. Results: This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators (P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion: This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Estrogen and progesterone receptor expression: Impacts on platinum sensitivity and survival outcomes in high‐grade serous ovarian cancer

AbstractBackgroundThis study aimed to explore the impact of patient‐specific factors on the effectiveness of platinum‐based chemotherapy in ovarian cancer patients. Specifically, we investigated the relationship between estrogen receptor (ER) and progesterone receptor (PR) expression levels and platinum sensitivity, and how this influenced treatment outcomes and prognosis. We conducted a survival analysis on patients who underwent surgical treatment for serous ovarian cancer and received platinum‐based adjuvant therapies.MethodsThis study was a retrospective observational analysis of 171 patients with high‐grade serous ovarian cancer. We extracted and analyzed the patients' clinical data, focusing on platinum sensitivity concerning hormone receptor expression. We also assessed survival outcomes based on receptor expression and platinum resistance.ResultsOur findings revealed that 78.4% (n = 134) of the patients were platinum‐sensitive, while 21.6% (n = 37) were platinum‐resistant. The expression of hormone receptors showed significant associations with platinum sensitivity, particularly among ER‐positive patients (p &lt; 0.05). Age, disease stage, preoperative carbohydrate antigen 125 (CA125) levels, and residual tumor size were identified as notable factors influencing both progression‐free survival (PFS) and overall survival (OS). In terms of PFS, 88.5% of patients remained free from disease progression after one year, but this percentage dropped to 21% after five years. The average duration of PFS was 35.3 months. As for OS, 93.5% of patients were still alive after one year, but this percentage decreased to 50.5% after five years. The average survival duration was 64 months. Furthermore, platinum resistance was found to be a significant risk factor for disease progression, with a more than fivefold increase in risk (p &lt; 0.001).ConclusionOur study identified disease stage progression, ER negativity, and platinum resistance as the primary factors influencing OS. We also found that ER and PR expression played a crucial role in determining the sensitivity to platinum‐based chemotherapy in patients with serous ovarian cancer.

Ultrasound characteristics of extravaginal testicular torsion at different stages of disease progression.

Extravaginal testicular torsion has profound clinical implications in neonates, but its ultrasound characteristics may vary at different disease stages. The purpose of this study was to identify the ultrasound characteristics of neonatal extravaginal testicular torsion and their diagnostic value at different disease stages. A retrospective analysis of the clinical and ultrasound examination data of 20 infants aged 1-75 days with surgically and pathologically confirmed unilateral extravaginal testicular torsion (10 right, 10 left) was conducted. The infants were divided into three stages based on the ultrasound characteristics: double-ring effusion, calcification of the tunica vaginalis, and testicular atrophy. In the double-ring effusion stage, the affected testicles were enlarged with axial abnormalities, with the parenchymal testicular blood flow signal significantly reduced or absent. Twisted paratesticular masses and a "double-ring effusion sign" were visible. In the tunica vaginalis calcification stage, the affected testicles were slightly smaller, with axial abnormalities, absent blood flow signals in the testicular parenchyma, and strong echogenicity of the tunica vaginalis. In the testicular atrophy stage, the affected testicles were markedly smaller, with enhanced echogenicity in the tunica vaginalis and parenchyma, and absent blood flow signal in the testicular parenchyma. The volumes of the affected testicles gradually decreased from the stage of double-ring effusion to that of tunica vaginalis calcification, and then to testicular atrophy (P<0.05). Neonatal extravaginal testicular torsion at different disease stages has distinct ultrasound features, and color doppler ultrasound plays an important role in the diagnosis and treatment of extravaginal testicular torsion.