Early Stages Of Disease Research Articles

YOLOv5s-BiPCNeXt, a Lightweight Model for Detecting Disease in Eggplant Leaves.

Ensuring the healthy growth of eggplants requires the precise detection of leaf diseases, which can significantly boost yield and economic income. Improving the efficiency of plant disease identification in natural scenes is currently a crucial issue. This study aims to provide an efficient detection method suitable for disease detection in natural scenes. A lightweight detection model, YOLOv5s-BiPCNeXt, is proposed. This model utilizes the MobileNeXt backbone to reduce network parameters and computational complexity and includes a lightweight C3-BiPC neck module. Additionally, a multi-scale cross-spatial attention mechanism (EMA) is integrated into the neck network, and the nearest neighbor interpolation algorithm is replaced with the content-aware feature recombination operator (CARAFE), enhancing the model's ability to perceive multidimensional information and extract multiscale disease features and improving the spatial resolution of the disease feature map. These improvements enhance the detection accuracy for eggplant leaves, effectively reducing missed and incorrect detections caused by complex backgrounds and improving the detection and localization of small lesions at the early stages of brown spot and powdery mildew diseases. Experimental results show that the YOLOv5s-BiPCNeXt model achieves an average precision (AP) of 94.9% for brown spot disease, 95.0% for powdery mildew, and 99.5% for healthy leaves. Deployed on a Jetson Orin Nano edge detection device, the model attains an average recognition speed of 26 FPS (Frame Per Second), meeting real-time requirements. Compared to other algorithms, YOLOv5s-BiPCNeXt demonstrates superior overall performance, accurately detecting plant diseases under natural conditions and offering valuable technical support for the prevention and treatment of eggplant leaf diseases.

Early-Stage Colon Cancer Surveillance: Pattern and Timing of Recurrence and the Role of 5-Year Surveillance

Introduction: Colorectal cancer is the third most prevalent cancer among both men and women with 80% of patients having localized disease enabling curative treatments. Given the low recurrence rate in early-stage disease, there is a growing interest in reviewing follow-up protocols. The aim of this study was to assess the frequency and timing of recurrence in early-stage colon cancer, as well as recurrence patterns. Methods: The data from all patients with colon adenocarcinoma consecutively treated with surgery at the Instituto Português de Oncologia do Porto, EPE, between January 2013 and December 2016, were retrospectively reviewed. Results: A total of 1,372 patients with colon cancer were submitted to surgery during the study period. From this group, 51.4% (n = 705) were early-stage colon cancers. Regarding the pathological stage, 3.5% were stage 0, 37.4% were stage I and 59.1% were stage II. The overall recurrence rate was 6.7%. When considering the group of patients without risk factors, the recurrence rate was 5.6%. The majority of recurrences occurred in the first 3 years of follow-up. The recurrence was diagnosed in the majority of patients through carcinoembryonic antigen elevation, followed by imaging exams. The presence of one or more risk factors (high nuclear grade, vascular invasion, extramural venous invasion, and perineural invasion) showed a statistically significant association with recurrence rate. Conclusion: The recurrence rate was low in early-stage colon cancer, with the majority of recurrences occurring in the first 3 years. Our study results show that surveillance should be tailored according to individual risk factors.

Regional Variability in MRI Scans with Different Magnetic Field Strengths in Japan: Implications for Healthcare Preparedness for Alzheimer's Disease Treatment.

(1) Background: The 2023 approval of lecanemab for early-stage Alzheimer's disease (AD) highlighted the need for routine 1.5T or 3.0T MRI scans to monitor amyloid-related imaging abnormalities (ARIAs). Regional disparities in MRI scan frequency, MRI scanner availability, and scanner magnetic field strengths could affect readiness for anti-amyloid therapy and lead to inconsistencies in ARIA detection nationwide. (2) Methods: We assessed regional variance in MRI scan frequency and field strength across Japan using the National Database (NDB) Open Data website, which summarizes Japanese public health insurance claims from the fiscal years (FYs) 2015 to 2021. We employed a mixed-effects model with prefecture-level random intercepts and slopes over time, subsequently categorizing prefectures into clusters based on MRI usage. (3) Results: 1.5T MRI was the most common magnetic field strength, remaining stable from FY2015 to FY2021. 3.0T MRI usage slightly increased, although the COVID-19 pandemic in FY2020 led to a maximum reduction of 5%. Prefecture-level variance was higher for 3.0T MRIs, with more frequent usage in western Japan. (4) Conclusions: This study highlights prefecture-level variance in MRI usage across Japan. The insights gained could be instrumental in improving healthcare preparedness for anti-amyloid treatment and patient management.

Design of the SPIROMICS Study of Early COPD Progression: SOURCE Study.

The biological mechanisms leading some tobacco-exposed individuals to develop early-stage chronic obstructive pulmonary disease (COPD) are poorly understood. This knowledge gap hampers development of disease-modifying agents for this prevalent condition. Accord-ingly, with National Heart, Lung and Blood Institute support, we initiated the SPIROMICS Study of Early COPD Progression (SOURCE), a multicenter observational cohort study of younger individuals with a history of cigarette smoking and thus at-risk for, or with, early-stage COPD. Our overall objectives are to identify those who will develop COPD earlier in life, characterize them thoroughly, and by contrasting them to those not developing COPD, define mechanisms of disease progression. SOURCE utilizes the established SPIROMICS clinical network. Its goal is to enroll n=649 participants, ages 30-55 years, all races/ethnicities, with ≥10 pack-years cigarette smoking, in either Global Initiative for Chronic Obstructive Lung Disease (GOLD) groups 0-2 or with Preserved Ratio Impaired Spirometry (PRISm); and an additional n=40 never-smoker controls. Participants undergo baseline and three-year follow-up visits, each including high-resolution computed tomography; respiratory oscillometry and spirometry (pre- and post-bronchodilator administration), exhaled breath condensate (baseline only); and extensive biospecimen collection, including sputum induction. Symptoms, interim healthcare utilization, and exacerbations are captured every six months via follow-up phone calls. An embedded bronchoscopy sub-study involving n=100 participants (including all never-smokers) will allow collection of lower airway samples for genetic, epigenetic, genomic, immunological, microbiome, mucin analyses, and basal cell culture. SOURCE should provide novel insights into the natural history of lung disease in younger individuals with a smoking history, and its biological basis.

Sociodemographic and clinicopathologic characteristics of patients treated with high dose rate prostate brachytherapy in Nigeria.

Prostate cancer is the most commonly diagnosed malignancy in adult males. High dose rate brachytherapy (HDRB) recently became available in the country for the management of localized prostate cancer in addition to other treatment modalities. HDRB offers a less invasive option to radical prostatectomy and also has a better side effects profile. To report the socio-demographic features of the patients treated with HDRB, the clinicopathologic pattern of their disease and possible predictors of these features. A retrospective study of patients with histopathologically confirmed prostate cancer, who had HDRB at the Department of Radiation Oncology, University College Hospital, Ibadan, Nigeria, between July 2020 and 2023 was done. Patients' socio-demographic and clinicopathologic characteristics were extracted from their treatment records. A total of 73 patients had HDRB within the period under review. The median age was 66 years (51-78 years). About 40% had prostate cancer diagnosed following routine prostate-specific antigen (PSA) screening. The median screening PSA was 20.5 ng/mL (5.83-75.35 ng/mL). About a quarter (24.7%) were asymptomatic at presentation while frequency (60.3%), nocturia (45.2%) and urgency (35.6%) were the most common symptoms. The median initial PSA was 26.00 ng/mL (5.10-124.50 ng/mL) and the median PSA before brachytherapy was 6.25 ng/mL (0.03-175.30 ng/mL), the majority (75.3%) had androgen deprivation therapy before brachytherapy. Forty-seven patients (64.4%) presented with TNM stages 1 and 2 while grade group 2 (24.7%) and high risk (76.7%) were the commonest grade group and risk group, respectively. There was a significant association between age group and TNM stage (p = 0.043), level of education (LOE) and TNM stage (p = 0.037) as well as PSA screening and grade group (p = 0.007). The majority of the patients who presented for prostate brachytherapy were elderly, had higher initial PSA, were in the high-risk group and had early-stage disease. About 25% of the patients were asymptomatic at presentation. Patients with tertiary LOE and elderly patients presented more with stage 1 and 2 diseases.

A preliminary investigation of worry, cortical amyloid burden, and stressor-evoked brain and cardiovascular reactivity in older adults

Worry is a transdiagnostic symptom common to many neurocognitive disorders of aging, including early stages of Alzheimer's disease and related dementias (ADRD). Severe worry is associated with amyloid burden in cognitively intact older adults, yet the mechanisms underlying this association are not well understood. We hypothesize that this relationship involves altered brain and cardiovascular reactivity to acute stressors, a brain-body phenotype that also increases risk for cardiovascular disease. Twenty cognitively normal older adults (age 60 to 80) with varying levels of worry severity underwent positron emission tomography using Pittsburgh Compound-B and functional magnetic resonance imaging. We examined associations of worry severity and amyloid burden with cardiovascular reactivity, brain activation, and brain connectivity using a cognitive stressor task. Worry severity was not associated with global amyloid burden, but was associated with greater resting levels of cardiovascular physiology and lower systolic blood pressure reactivity. Worry severity also was associated with altered stressor-evoked activation and effective connectivity in brain circuits implicated in stress processing, emotion perception, and physiological regulation. These associations showed small to medium effect sizes. These preliminary findings introduce key components of a model that may link severe worry to ADRD risk via stressor-evoked brain-body interactions.

Tau pathology in the dorsal raphe may be a prodromal indicator of Alzheimer's disease.

Protein aggregation in brainstem nuclei is thought to occur in the early stages of Alzheimer's disease (AD), but its specific role in driving prodromal symptoms and disease progression is largely unknown. The dorsal raphe nucleus (DRN) contains a large population of serotonin (5-hydroxytryptamine; 5-HT) neurons that regulate mood, reward-related behavior, and sleep, which are all disrupted in AD. We report here that tau pathology is present in the DRN of individuals 25-80 years old without a known history of dementia, and its prevalence was comparable to the locus coeruleus (LC). By comparison, fewer cases were positive for other pathological proteins including α-synuclein, β-amyloid, and TDP-43. To evaluate how early tau pathology impacts behavior, we overexpressed human P301L-tau in the DRN of mice and observed depressive-like behaviors and hyperactivity without deficits in spatial memory. Tau pathology was predominantly found in neurons relative to glia and colocalized with a significant proportion of Tph2-expressing neurons in the DRN. 5-HT neurons were also hyperexcitable in P301L-tauDRN mice, and there was an increase in the amplitude of excitatory post-synaptic currents (EPSCs). Moreover, astrocytic density was elevated in the DRN and accompanied by an increase in IL-1α and Frk expression, which suggests increased inflammatory signaling. Additionally, tau pathology was detected in axonal processes in the thalamus, hypothalamus, amygdala, and caudate putamen. A significant proportion of this tau pathology colocalized with the serotonin reuptake transporter (SERT), suggesting that tau may spread in an anterograde manner to regions outside the DRN. Together these results indicate that tau pathology accumulates in the DRN in a subset of individuals over 50 years and may lead to behavioral dysregulation, 5-HT neuronal dysfunction, and activation of local astrocytes which may be prodromal indicators of AD.

Albuminuria in patients with Systemic Lupus Erythematous

<p>Renal involvement is one of the main causes of morbidity and mortality in patients with Systemic Lupus Erythematous. Lupus Nephropathy should be detected early. Albuminuria may be the only finding in the early stage of kidney disease. An observational, descriptive and retrospective study was carried out to determine the presence of Albuminuria (> 30 mg/24 h) in 60 patients with SLE who were admitted to the Rheumatology Service of the “10 de Octubre” Surgical Clinical Hospital, between October 2013 and September 2014. Albuminuria was observed to increase with increasingly pronounced drops in Glomerular Filtration (predicted according to the equation used in the MDRD Study). A significant statistical association was also obtained between albuminuria and disease evolution time: the longer the disease evolution time, the greater the albuminuria observed. Albuminuria is frequent in patients with SLE, its values being directly proportional to the time of evolution of the disease. This did not occur with the Glomerular Filtration, which remained relatively constant for any time of disease evolution.</p>

Application of clinical blood metabogram for diagnosis of early-stage Parkinson's disease: a pilot study.

In terms of time, cost, and reproducibility of clinical laboratory tests, a mass spectrometric clinical blood metabogram (CBM) enables the investigation of the blood metabolome. Metabogram's components provide clinically relevant information by describing related groups of blood metabolites connected to humoral regulation, the metabolism of lipids, carbohydrates and amines, lipid intake into the organism, and liver function. For further development of the CBM approach, the ability of CBM to detect metabolic changes in the blood in the early stages of Parkinson's disease (PD) was studied in this work. In a case-control study (n = 56), CBM enabled the detection of the signature in blood metabolites related to 1-2.5 clinical stages of PD, according to the modified Hoehn and Yahr scale, which is formed by alterations in eicosanoids, phospholipids and, presumably, in the butadione metabolism. The CBM component-based diagnostic accuracy reached 77%, with a specificity of 71% and sensitivity of 82%. The research results extend the range of disorders for which CBM is applicable and offer new opportunities for revealing PD-specific metabolic alterations and diagnosing early-stage PD.

What the trained eye cannot see: Quantitative kinematics and machine learning detect movement deficits in early-stage Parkinson's disease from videos

BackgroundEvaluation of disease severity in Parkinson's disease (PD) relies on motor symptoms quantification. However, during early-stage PD, these symptoms are subtle and difficult to quantify by experts, which might result in delayed diagnosis and suboptimal disease management. ObjectiveTo evaluate the use of videos and machine learning (ML) for automatic quantification of motor symptoms in early-stage PD. MethodsWe analyzed videos of three movement tasks—Finger Tapping, Hand Movement, and Leg Agility— from 26 aged-matched healthy controls and 31 early-stage PD patients. Utilizing ML algorithms for pose estimation we extracted kinematic features from these videos and trained three classification models based on left and right-side movements, and right/left symmetry. The models were trained to differentiate healthy controls from early-stage PD from videos. ResultsCombining left side, right side, and symmetry features resulted in a PD detection accuracy of 79 % from Finger Tap videos, 75 % from Hand Movement videos, 79 % from Leg Agility videos, and 86 % when combining the three tasks using a soft voting approach. In contrast, the classification accuracy varied between 40 % and 72 % when the movement side or symmetry were not considered. ConclusionsOur methodology effectively differentiated between early-stage PD and healthy controls using videos of standardized motor tasks by integrating kinematic analyses of left-side, right-side, and bilateral symmetry movements. These results demonstrate that ML can detect movement deficits in early-stage PD from videos. This technology is easy-to-use, highly scalable, and has the potential to improve the management and quantification of motor symptoms in early-stage PD.

A quantitative method for aquaporin-1 protein using magnetic preconcentration and probe-based immunoassay coupling to inductively coupled plasma mass spectrometry in urine analysis

BackgroundAquaporin-1 (AQP1) protein plays a crucial role in intracellular and extracellular water homeostasis and fluid transport in organs and tissues associated with diverse life activities and is extremely abundant in the kidney. Accurate detection of AQP1 in urine can be applied as screening of early-stage disease. Application of magnetic preconcentration and probe-based signal amplification strategy coupling to inductively coupled plasma mass spectrometry (ICP-MS) is a more accurate, sensitive and specific detection method for AQP1 in complex biological samples compared to conventional methods. ResultsWe described an element-labelling strategy based on magnetic preconcentration and probe-based immunoassay coupling to ICP-MS detection. The magnetic beads (MBs) modified with epoxy groups were capable of enriching AQP1 proteins and separating them from complex matrices. The probe constructed by conjugating anti-AQP1 antibody molecules on the surface of gold nanoparticles could specifically recognize AQP1 proteins attached on MBs and be analyzed by ICP-MS. The concentration of AQP1 protein could be precisely quantified and amplified by 14,000 times through the corresponding signal of Au atoms. This assay for AQP1 protein quantification achieved a detection limit down to 0.023 ng mL−1, a broad linear calibration curve between 0.3 ng mL−1 and 30 ng mL−1, as well as outstanding specificity. SignificanceThe proposed method was successfully applied to detect AQP1 protein in human urine samples, showing the potential for its applications concerning accurate AQP1 quantification. It can also screen a wide range of proteins provided the antibodies specific to these target proteins are available.

Association between the occurrence of immune-related adverse events and survival outcomes in patients with cancer treated with perioperative immune checkpoint inhibitors: A systematic review and meta-analysis.

39 Background: Although multiple studies have revealed that the occurrence of immune-related adverse events (irAEs) is associated with better survival in patients with advanced cancer, the association in patients with early-stage disease in the perioperative setting remains unclear. We performed a systematic review and meta-analysis to evaluate this association in the neoadjuvant and adjuvant settings. Methods: We performed a database search in PubMed/MEDLINE and Embase to identify eligible articles up to March 2024. We included studies evaluating the association between the occurrence of irAEs and survival outcomes in patients with solid tumors receiving at least one ICI in the perioperative setting. Cancer type, ICI agent, the number of patients, and survival outcomes (hazard ratio [HR] with 95% confidence interval [CI]) were summarized. We performed a random-effect model meta-analysis of survival outcomes that contained HR and 95% CI information from more than two studies. Results: After screening 884 articles, we found 15 eligible articles of which four studies reporting only treatment-related adverse events without irAE information were excluded. Finally, 11 studies (Clinical trials: n=3, Cohort studies: n=8) analyzing the association between the incidence of irAEs and survival were identified. Melanoma, triple-negative breast cancer (TNBC), non-small cell lung cancer (NSCLC), and urothelial carcinoma were evaluated in seven, two, one, and one study, respectively. While ten studies defined the irAE group as any-type and any-grade irAEs, one study defined the irAE group as any-type and grade 2-5 irAEs. OS was evaluated in five studies (four studies for melanoma), of which two studies suggested that the occurrence of irAEs was associated with longer OS. A meta-analysis of three studies showed a tendency of the association between the occurrence of any-type and any-grade irAEs and longer OS (Pooled HR=0.69, 95% CI 0.47-1.00, p = 0.05). RFS was evaluated in eight studies (seven for melanoma), of which seven studies indicated the association between the incidence of any-type irAEs (any-grade: 6 studies, grade 2-5: 1 study) and longer RFS. A meta-analysis of five studies revealed a significant association between the occurrence of any-type irAEs (any-grade: 4 studies, grade 2-5: 1 study) and longer RFS (Pooled HR=0.52, 95% CI 0.41 - 0.67, p < 0.0001]); however, Funnel plot indicated a presence of publication bias. Conclusions: This study suggests an association between irAEs and longer survival from perioperative ICI therapy, particularly in patients with melanoma. The result should be cautiously interpreted given a possible presence of publication and immortal bias. Further prospective studies and individual patient data meta-analysis are needed to validate this result.

HYPCON trial: A phase II randomized study evaluating hypofractionated versus conventional adjuvant radiation therapy in head and neck malignancies.

143 Background: Hypofractionated RT has been established as standard of care at many cancer sites but there is limited data on use of hypofractionated RT for head and neck carcinomas (HNC). The HYPCON trial (CTRI/2023/02/049804) tested to reduce 10 fractions of PORT by delivery of hypofractionated PORT. Methods: Patients of HNC after radical surgery, with intermediate risk factors, were randomized based on site, T and N stage to either standard fractionation arm A (60Gy/30 fractions/6 weeks) or hypofractionated arm B (50Gy/20 fractions/4 weeks) in a 1:2 manner. The minimum sample size for the study was estimated based on a non-inferiority trial design as 120 considering a 10% clinical effectiveness margin and 5% attrition. Treatment allocation was done based on T stage, N stage & HNC subsite. Target delineation included tumour bed with adequate margins (CTV_P) and microscopic lymph nodal (CTV_N) basin at risk. Organ delineation included all DARS. A double arc swallowing-sparing IMRT was used in both arms. The primary endpoint was locoregional control (LRC) at 1 year. Compliance, RT time (RTT), overall treatment time (OTT), progression-free survival (PFS) and overall survival (OS) were calculated in all patients. Acute & late toxicities were recorded as per RTOG scale. Results: 135 patients were enrolled, 45 in Arm A & 90 in Arm B. Majority of patients (96.9%) had oral cavity primary. Most of patients 74.8 % had early-stage disease. Compliance to PORT was 91.1% in Arm A versus 100% in Arm B. Median RTT for Arm A was 43 days (25-73 days) and 28 days (25-43 days) for Arm B (p<0.0001). Median OTT in Arm A was 91 days (70-126 days) and 77 days (57-119 days) in Arm B (p<0.0001). Median follow-up was 12.7 (2.73-23.87) months. One year, LRC was 72.9% vs 91.6% (p=0.007); PFS was 70.6% vs 90.5% (p=0.009) and OS was 88.7% vs 94.5% (p 0.02) Arm A versus Arm B respectively. Grade 3 or higher acute toxicity was seen in 39% in Arm A and 31.1% in Arm B (p=0.374). Grade 3 or higher late toxicity events were noted in 29.2% and 32.2% in arms A and B respectively (p= 0.671). Conclusions: Hypofractionated PORT reduced RTT & OTT and was associated with improved treatment compliance, treatment outcomes (LRC, PFS, OS), and similar acute and late toxicity profile. This is the first study to demonstrate the superiority of hypofractionated compared to conventional PORT delivery for HNC. Clinical trial information: CTRI/2023/02/049804 .

Real-world outcomes with lurbinectedin in second-line and beyond for small cell lung cancer in Korea.

211 Background: Small-cell lung cancer (SCLC) accounts for approximately 10~15% of all lung cancers and is characterized by a strong tendency for early metastasis, and a poor prognosis. Most patients are diagnosed with extensive disease, with only one-third presenting with earlier-stage disease amenable to potentially curative multimodality therapy. Before the advent of lurbinectedin in 2020, only few options existed for treating patients with SCLC that had progressed after first-line therapy. The sole available second-line option for metastatic SCLC was topotecan, which is associated with hematological toxicities and only modest efficacy. Although lurbinectedin has been added to the arsenal against metastatic SCLC, real-world data on its efficacy has been scarce due to its recent implementation. In this study, we investigated the demographics and clinical outcomes of metastatic SCLC patients treated with lurbinectedin in Korea. Methods: Patients with metastatic SCLC who had failed first-line therapy were identified (n=51) at Yonsei Cancer Center, Seoul, Republic of Korea, and received lurbinectedin at a starting dose of 3.2mg/kg. Efficacy data, including investigator-assessed tumor response, progression data, survival, and demographic information, were recorded. Results: A total of 51 patients were treated with lurbinectedin at a single center in Korea. Thirty-four patients were eligible for assessment. The median age of diagnosis was 68. The overall objective response rate and disease control rate were 20% and 47%, respectively. For patients treated with lurbinectedin in the second-line therapy, the ORR and DCR were 12% and 15% respectively, while the ORR was 18% and DCR was 29% for patients in beyond third-line of therapy. The median progression-free survival was 1.8 months (95% CI 0.38 to 2.08), and the median overall survival was 2.8 months (95% CI 0.55 to 2.70). A patient group with a history of smoking showed prolonged overall survival and disease control rate. The most common adverse effects related to lurbinectedin were anemia (55%), leukopenia (53%), nausea (35%), loss of appetite (25%), general weakness (19%), neutropenia (12%), dizziness (6%), alopecia (6%), phlebitis (3%), thrombocytopenia (3%), pneumonia (3%). Conclusions: The real-world data of lurbinectedin in SCLC patients suggests that it is still a viable option in this disease area with dismal prognosis. [Table: see text]

Retina as a potential biomarker for the early stage of Alzheimer's disease spectrum.

To characterize the retinal microvasculature and structure in subjective cognitive decline (SCD) and identify the potential biomarker for the early stage of the Alzheimer's disease (AD) spectrum. In this study, 35 patients with SCD, 36 with cognitive impairment, and 29 with normal cognition (NC) were enrolled. Optical coherence tomography angiography was employed to assess retinal vascular density, fovea avascular zone area, and retinal thickness. The parameters reflecting retinal perfusion and structure were compared among the three groups. In addition, the association between retinal parameters, cerebral blood flow (CBF), and peripheral blood biomarkers in the SCD stage was analyzed. The superficial vascular complex (SVC) vascular density in the macula and retinal nerve fiber layer thickness in the peripapillary were significantly reduced in individuals with SCD compared to NC. Furthermore, there was a positive correlation between macular ganglion cell complex thickness and CBF in SCD. The retinal microvasculature and structure exhibit alterations in individuals with SCD. Macular ganglion cell complex thickness demonstrates correlations with cerebral perfusion. The retina holds potential as a novel biomarker for early detection of AD.

Early Detection of Chronic Kidney Disease Using Plasma Neutrophil Gelatinase-Associated Lipocalin and Kidney Injury Molecule-1 in Small-Breed Dogs: A Retrospective Pilot Study.

Multiple diagnostic modalities are urgently needed to identify early-stage kidney diseases. Various molecules have been investigated; however, most studies have focused on identifying specific biomarkers in urine. Considering that assessing the symmetrical dimethylarginine (SDMA) plasma concentration is more suitable as an early diagnostic test for chronic kidney disease (CKD) in routine veterinary practice, we aimed to investigate the clinical usefulness of plasma neutrophil gelatinase-associated lipocalin (pNGAL) and plasma kidney injury molecule-1 (pKIM-1) concentrations for CKD detection in small-breed dogs. Through a retrospective analysis, we found that numerous clinicopathological data showed a log-normal distribution, even when they satisfied normality tests. Moreover, the log-transformed pNGAL and pKIM-1 concentrations successfully identified CKD International Renal Interest Society (IRIS) stages 1-4 and the risk group with underlying CKD risk factors. Correlation analysis and group comparison of other factors confirmed the possibility of using these two biomarkers for detecting the CKD risk group and IRIS stage 1. Receiver operating characteristic curve analysis revealed that the diagnostic accuracy for discriminating the risk group was superior in the order of pKIM-1, pNGAL, SDMA, and serum creatinine levels. In conclusion, these results suggest that pKIM-1 and pNGAL are possible early or quantifiable markers of insignificant CKD or can be at least used as an adjunct with traditional indicators.

Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data.

Coronary artery disease (CAD) is a highly prevalent disease with modifiable risk factors. In patients with suspected obstructive CAD, evaluating the pre-test probability model is crucial for diagnosis, although its accuracy remains controversial. Machine learning (ML) predictive models can help clinicians detect CAD early and improve outcomes. This study aimed to identify early-stage CAD using ML in conjunction with a panel of clinical and laboratory tests. The study sample included 3316 patients enrolled in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. A comprehensive array of attributes was considered, and an ML pipeline was developed. Subsequently, we utilized five approaches to generating high-quality virtual patient data to improve the performance of the artificial intelligence models. An extension study was carried out using data from the Young Finns Study (YFS) to assess the results' generalizability. Upon applying virtual augmented data, accuracy increased by approximately 5%, from 0.75 to -0.79 for random forests (RFs), and from 0.76 to -0.80 for Gradient Boosting (GB). Sensitivity showed a significant boost for RFs, rising by about 9.4% (0.81-0.89), while GB exhibited a 4.8% increase (0.83-0.87). Specificity showed a significant boost for RFs, rising by ∼24% (from 0.55 to 0.70), while GB exhibited a 37% increase (from 0.51 to 0.74). The extension analysis aligned with the initial study. Accurate predictions of angiographic CAD can be obtained using a set of routine laboratory markers, age, sex, and smoking status, holding the potential to limit the need for invasive diagnostic techniques. The extension analysis in the YFS demonstrated the potential of these findings in a younger population, and it confirmed applicability to atherosclerotic vascular disease.

Revisiting the pattern of loss of β-cell function in preclinical Type 1 Diabetes.

Type 1 diabetes (T1D) results from beta cell destruction due to autoimmunity. It has been proposed that beta cell loss is relatively quiescent in the early years after seroconversion to islet antibody positivity (stage 1) with accelerated beta cell loss only developing around 6-18 months prior to clinical diagnosis. This construct implies that immunointervention in this early stage will be of little benefit since there is little disease activity to modulate. Here we argue that the apparent lack of progression in early stage disease may be an artefact of the modality of assessment used. When substantial β-cell function remains, the standard assessment - the oral glucose tolerance test - represents a submaximal stimulus and underestimates the residual function. By contrast, around the time of diagnosis, glucotoxicity exerts a deleterious effect on insulin secretion giving the impression of disease acceleration. Once glucotoxicity is relieved by insulin therapy, β-cell function partially recovers ("the honeymoon effect"). However, evidence from recent trials suggests that glucose control has little effect on the underlying disease process. We therefore hypothesise that the autoimmune destruction of β-cells actually progresses at a more or less constant rate through all phases of T1D and that early stage immunointervention will be both beneficial and desirable.

Clinical characteristics and outcome of early-stage diffuse large B cell lymphoma of female genital track: A retrospective study of the Hellenic cooperative lymphoma group.

Involvement of female genital track (FGT) by diffuse large B cell lymphoma (DLBCL) represents an extremely rare diagnosis. Especially data regarding early-stage disease (i.e., IE, IIE) is very limited. Importantly, previous studies showed controversial results about the risk of central nervous system (CNS) relapse in this entity. Herein, we describe one of the largest reported real-world series of patients with early-stage FGT DLBCL aiming to investigate the clinicopathological characteristics, response to therapy and survival outcomes in the era of immunochemotherapy. We analyzed 21 consecutive patients with biopsy proven DLBCL from uterus or ovary classified as stage IE or IIE out of 1905 newly diagnosed DLBCL patients (1.1%). Uterine and ovarian localization was observed in 14 and seven patients, respectively. Median age was 66years (range 33-96); 9/21 (43%) were <55years. Regarding Cell of Origin DLBCL subtype, Germinal Center B-cell subtype was found in seven patients, non-GCB in 10 and non-classified in 4 patients. Median follow-up was 57months and 5-year overall survival, lymphoma specific survival and Freedom from Progression were 78%, 89% and 90%, respectively. There was no correlation of patients' characteristics with survival parameters. Interestingly, none of the patients experienced CNS relapse. Our results indicate that localized FGT DLBCL exhibits a good prognosis and may not increase the risk for secondary CNS involvement.

Cognitive and morphometric features of mild cognitive impairment reversion in early patients with Parkinson's disease

IntroductionMild cognitive impairment is a common feature of Parkinson's disease (PD-MCI), even at the earliest disease stages. Growing evidence supports the instability of PD-MCI over time, without a consistent linear evolution to dementia, and in some patients, the potential of reversion to normal cognition. However, which features are associated with reversion from PD-MCI to normal cognition in early PD-MCI are not fully known. MethodsIn our longitudinal study of early drug naïve PD patients, 65 of 134 (48 %) patients had PD-MCI at baseline. Study participants underwent comprehensive assessments at baseline and 1-year follow-up. Sixteen (24.6 %) patients with PD-MCI reverted to normal cognition (Reverters), and 49 (75.4 %) had persistent PD-MCI (Non-Reverters) after 1-year follow-up. We performed single- and multiple-variable logistic regression analyses to identify baseline variables predicting reversion of PD-MCI to normal cognition after 1-year. We also compared brain morphometric measures (cortical thickness and volumes) at baseline between the PD-MCI Reverters and Non-Reverters. ResultsHigher educational level and better performance on measures of attention and memory at baseline predicted the reversion to normal cognition at 1-year follow-up. Reverters had greater cortical thickness in the left inferior temporal gyrus than Non-Reverters. ConclusionsOur results show PD-MCI with a higher chance of reverting to normal cognition over time have a higher educational level, better frontotemporal-related cognitive function, and increased thickness of the inferior temporal lobe gyrus. These findings may potentially help researchers to select the candidates for clinical trials focusing on the treatment of cognitive impairment in the early stages of PD.