Early Diagnosis Research Articles

The role of Immune cells in Alzheimer's disease: a bidirectional Mendelian randomization study

BackgroundAlzheimer's disease (AD) is a leading cause of dementia, characterized by the accumulation of amyloid-beta (Aβ) and hyperphosphorylated tau proteins, leading to neuroinflammation and neuronal damage. The role of the immune system in AD pathogenesis is increasingly recognized, prompting an exploration of the causal relationship between immune cells and AD by using Mendelian randomization (MR) approaches.MethodsUtilizing genome-wide association study (GWAS) data from European cohorts, we conducted an MR study to investigate the causal links between immune cell phenotypes and AD. We selected single nucleotide polymorphisms (SNPs) associated with immune cell traits at a genome-wide significance threshold and applied various MR methods, including MR Egger, Weighted median, and inverse variance weighted analysis, to assess the causality between 731 immune phenotypes and AD.ResultsOur MR analysis identified 15 immune cell types with significant causal relationships to AD pathogenesis. Notably, the absolute count of CD28−CD4−CD8− T cells and the expression of HLA DR on B cells were linked to a protective effect against AD, while 13 other immune phenotypes were identified as contributing to the risk factors for the disease. The causal effects of AD on immunophenotypic traits are predominantly negative, implying that AD may impair the functionality of immune cells. Validation through independent datasets, such as FinnGen and GCST90027158, confirmed the causal association between six specific immune cells and AD.ConclusionThis comprehensive MR study elucidates the intricate network of causal relationships between diverse immunophenotypic traits and AD, providing novel insights into the immunopathogenesis of AD. The findings suggest potential immunological targets that could be leveraged for early diagnosis, disease monitoring, and therapeutic intervention.

Three-Dimensional DNA Hydrogel Mediated Dual-Mode Sensing Method for Quantification of Epithelial Cell Adhesion Molecule in Biological Fluid Samples.

Monitoring changes in the expression of marker proteins in biological fluids is essential for biomarker-based disease diagnosis. Epithelial cell adhesion molecule (EpCAM) has been identified as a broad-spectrum biomarker for various chronic diseases and as a therapeutic target. However, the development of simple and reliable methods for quantifying EpCAM changes in biological fluids faces challenges due to the variability of its expression across different diseases, the presence of soluble forms, and matrix effects. In this paper, a surface-enhanced Raman scattering (SERS)-fluorescence (FL) dual-mode sensing method was established for quantification of trace EpCAM in biological fluids based on bimetallic Au@Ag nanoparticles and nitrogen-doped quantum dots encapsulated DNA hydrogel hybrid with graphene oxide (Au@Ag-NQDs/GO). The DNA hydrogel was constructed based on three-dimensional (3D) structure DNA-mediated strategy using an aptamer DNA (AptDNA) linker. The interaction of the AptDNA with EpCAM triggered the disassembly of the DNA hydrogel. Consequently, the release of Au@Ag nanoparticles induced an "on-off" switch in the SERS signal while the weakened FL quenching effect in Au@Ag-NQDs/GO system achieved "off-on" switch of FL signal, enabling the simultaneous SERS-FL quantification of EpCAM. The established dual-mode method exhibited outstanding sensitivity and stability in quantifying EpCAM in the range of 0.5-60.0 pg/mL, with the limits of detection (LODs) of SERS and FL as 0.17 and 0.35 pg/mL, respectively. When applied for real sample analysis, the method showed satisfactory specificity and recoveries in cancer cells lysate, serum, and urine samples with RSDs of 2.8-6.3%, 4.0-6.3%, and 2.8-5.7%, respectively. The developed SERS-FL sensing method offered a sensitive, reliable, and practical quantification strategy for trace EpCAM in diverse biological fluid samples, which would benefit the early diagnosis of disease and further health management.

The Long Noncoding RNA PANDAR as a Prognostic and Diagnostic Biomarker in Panceratic Cancer ‏‏.

Pancreatic cancer (PC) is a lethal complication in the world, affecting around half a million individuals each year. The treatment of PC is relatively difficult due to the difficulty in making an early diagnosis. Most PC patients are confronted with locally metastatic or advanced diseases in the asymptomatic phase, and about 80% have late diagnosis with metastasis. Recently, long noncoding RNAs (lncRNAs) have drawn attention as a novel biological regulation layer. They take part in the regulation of mRNA and can be used as a prognostic factor or drug target. Based on their functions as regulators of PC initiation and progress, the lncRNAs can be categorized as tumor suppressors or oncogenic. They can be considered as a target for finding new biomarkers for prognosis, diagnosis, monitoring, and treating drug response in PC. Therefore, the present study summarizes the lncRNAs role in PC and the probable strategies to deal with their expression and controlling tumorigenesis and detection of the prognosis of PC.

Endoplasmic reticulum stress promotes hepatocellular carcinoma by modulating immunity: a study based on artificial neural networks and single-cell sequencing

IntroductionHepatocellular carcinoma (HCC) is characterized by the complex pathogenesis, limited therapeutic methods, and poor prognosis. Endoplasmic reticulum stress (ERS) plays an important role in the development of HCC, therefore, we still need further study of molecular mechanism of HCC and ERS for early diagnosis and promising treatment targets.MethodThe GEO datasets (GSE25097, GSE62232, and GSE65372) were integrated to identify differentially expressed genes related to HCC (ERSRGs). Random Forest (RF) and Support Vector Machine (SVM) machine learning techniques were applied to screen ERSRGs associated with endoplasmic reticulum stress, and an artificial neural network (ANN) diagnostic prediction model was constructed. The ESTIMATE algorithm was utilized to analyze the correlation between ERSRGs and the immune microenvironment. The potential therapeutic agents for ERSRGs were explored using the Drug Signature Database (DSigDB). The immunological landscape of the ERSRGs central gene PPP1R16A was assessed through single-cell sequencing and cell communication, and its biological function was validated using cytological experiments.ResultsAn ANN related to the ERS model was constructed based on SRPX, THBS4, CTH, PPP1R16A, CLGN, and THBS1. The area under the curve (AUC) of the model in the training set was 0.979, and the AUC values in three validation sets were 0.958, 0.936, and 0.970, respectively, indicating high reliability and effectiveness. Spearman correlation analysis suggests that the expression levels of ERSRGs are significantly correlated with immune cell infiltration and immune-related pathways, indicating their potential as important targets for immunotherapy. Mometasone was predicted to be the most promising treatment drug based on its highest binding score. Among the six ERSRGs, PPP1R16A had the highest mutation rate, predominantly copy number mutations, which may be the core gene of the ERSRGs model. Single-cell analysis and cell communication indicated that PPP1R16A is predominantly distributed in liver malignant parenchymal cells and may reshape the tumor microenvironment by enhancing macrophage migration inhibitory factor (MIF)/CD74 + CXCR4 signaling pathways. Functional experiments revealed that after siRNA knockdown, the expression of PPP1R16A was downregulated, which inhibited the proliferation, migration, and invasion capabilities of HCCLM3 and Hep3B cells in vitro.ConclusionThe consensus of various machine learning algorithms and artificial intelligence neural networks has established a novel predictive model for the diagnosis of liver cancer associated with ERS. This study offers a new direction for the diagnosis and treatment of HCC.

Diabetes and tuberculosis: An emerging dual threat to healthcare

Tuberculosis (TB) remains a huge global healthcare challenge even in the 21st century though the prevalence has dropped in developed countries in recent decades. Diabetes mellitus (DM) is an important risk factor for the development and perpetuation of TB owing to the immune dysfunction in patients with DM. The coexistence of both diseases in the same individual also aggravates disease severity, complications, and chance of treatment failure because of gross immune alterations posed by DM as well as TB. Various complex cellular and humoral immunological factors are involved in the dangerous interaction between TB and DM, some of which remain unknown even today. It is highly important to identify the risk factors for TB in patients with DM, and vice versa, to ensure early diagnosis and management to prevent complications from this ominous coexistence. In their research study published in the recent issue of the World Journal of Diabetes, Shi et al elaborate on the factors associated with the development of TB in a large cohort of DM patients from China. More such research output from different regions of the world is expected to improve our knowledge to fight the health devastation posed by TB in patients with diabetes.

Electrochemical and Field Effect Transistor Dual‐Mode Biosensor Chip for Label‐Free Detection of Cytokine Storm Biomarker with High Sensitivity within a Wide Range

AbstractAccurate and rapid quantification of cytokines in biofluids is crucial for early disease diagnosis, management, and prevention. However, it still remains challenging for existing sensors due to the broad dynamic range of cytokines and high interference from sample matrices. To overcome these challenges, electrochemical (EC) and field‐effect transistor (FET) dual‐mode biosensing is integrated on an extended‐gate carbon nanotube field‐effect transistor. This biosensor chip effectively eliminates direct contact between the device and the solution and employs independent signal readouts based on two distinct response mechanisms, thereby circumventing the limitations associated with conventional transistor biosensors. Selective detection of cytokine (e.g., Interferon‐γ, IFN‐γ) is achieved by the FET sensing mode (0.1 to 4000 pg mL−1, with a limit of detection of 24.1 fg mL−1) and the EC sensing mode (0.4–2000 ng mL−1) at different concentration range. The feasibility of real sample analysis using the EC‐FET dual‐mode biosensor is confirmed by detecting salivary levels of IFN‐γ. The combination of EC and FET sensing modes not only provides high sensitivity and a wide response range (seven orders of magnitude) to accommodate various biological samples but also improves the reliability of detection results, which shows promising applications in biological analysis and early disease diagnosis.

Glanzmann Thrombasthenia – A Rare Case Report

Glanzmann thrombasthenia is a rare inherited bleeding disorder resulting from mutation in platelet membrane glycoprotein (GP) IIb or IIIa leading to impaired platelet function which is characterized by defective platelet aggregation and diminished clot retraction. Glanzmann thrombasthenia patients commonly visit to physician with features of bleeding. Here we discuss about the case of a 32-years-old young female presented with menorrhagia, ecchymosis and occasional gum bleeding. Her coagulation profile was in favor of Glanzmann thrombasthenia. This rare disease has a good outcome if early diagnosis and proper management can be ensured. Delta Med Col J. Jan 2021;9(2): 101-103

Dentigerous Cysts in Children: Clinical, Radiological, and Healing Aspects

Background and Objectives: Dentigerous cysts are one of the most frequent pathologies associated with unerupted or impacted teeth. Such cysts show a male predilection and a preference for the mandibular region. Also, they commonly occur in the second and third decades of life, with only 9% occurring in the first decade. The aim of this work is to apply and study the therapeutic algorithms developed for dentigerous cysts and their outcomes, from the early diagnostic stage to the complete healing phase of pediatric patients diagnosed with this medical condition. Materials and Methods: The study included 19 pediatric patients diagnosed with dentigerous cysts who underwent the enucleation and extraction or conservative attitude of the associated tooth. The bony healing was also followed-up 9 months after the surgery. Results: A higher incidence in the posterior area of the mandible and maxilla was observed, as well as a higher incidence in boys. The 9 months postoperative radiographic assessment showed that the bony defects were completely healed. Conclusions: A thorough understanding of the nature of the lesion backed by a good clinical history and by state-of-the-art radiographic and radiologic examinations can go a long way in helping the surgeon to choose the correct therapeutic approach and to ameliorate the medical condition in the best long-term interest of the young patient. The considered dentigerous cyst cases demonstrated that an early diagnosis and treatment of this pathology is followed by a responsive treatment.

A predictive model for ischemic colitis: Integrating clinical and laboratory parameters

AbstractObjectiveWe aimed to develop a predictive model for the clinical diagnosis of ischemic colitis (IC).MethodsClinical data were collected from patients with acute IC lesions who were diagnosed and admitted to Beijing Tsinghua Changgung Hospital from January 2016 to December 2022. These patients were included in the IC case group in this retrospective observational study. The control group comprised patients aged ≥40 years who were diagnosed with abdominal pain during the same period, excluding those with IC. All patients were divided into a training and test sets based on the time window. Least absolute shrinkage and selection operator regression was used to screen risk factors for the occurrence of IC. Logistic stepwise regression (maximum likelihood ratio method) was performed in multifactorial analysis, and a diagnostic prediction model for IC was established using R language. The area under the receiver operating characteristic (ROC) curve (AUC) was examined to assess differentiation using working ROC curves. We used bootstrap resampling (1000 times) for internal validation. Model calibration curves and decision curve analysis (DCA) were also applied.ResultsOur study indicates that constipation, hematochezia, neutrophil counts, and specific abdominal computed tomography (CT) (plain scan) findings, including intestinal wall edema and thickening, intestinal lumen stenosis, and dilation, are independent predictors of IC. The predictive model exhibited high discriminative ability with an AUC of 0.9788 in the training set, and the calibration and DCA curves demonstrated excellent model performance. After validation, the AUC remained robust at 0.9868, underscoring the model's reliability in predicting IC.ConclusionAccording to our model, constipation accompanied by hematochezia necessitates careful consideration of IC. Abdominal CT (plain scan) is an effective diagnostic tool for IC, and it is common for patients to exhibit elevated neutrophil counts. The predictive model, demonstrating high discriminative ability and accuracy, shows promise for practical application in clinical settings, aiding in the early diagnosis and management of IC.

Arrhythmic Risk Stratification in Cardiac Amyloidosis: A Review of the Current Literature

Cardiac amyloidosis is the most frequent infiltrative disease caused by the deposition of misfolded proteins in the cardiac tissue, leading to heart failure, brady- and tachyarrhythmia and death. Conduction disorders, atrial fibrillation (AF) and ventricular arrhythmia (VA) significantly impact patient outcomes and demand recognition. However, several issues remain unresolved regarding early diagnosis and optimal management. Extreme bradycardia is the most common cause of arrhythmic death, while fast and sustained VAs can be found even in the early phases of the disease. Risk stratification and the prevention of sudden cardiac death are therefore to be considered in these patients, although the time for defibrillator implantation is still a subject of debate. Moreover, atrial impairment due to amyloid fibrils is associated with an increased risk of AF resistant to antiarrhythmic therapy, as well as recurrent thromboembolic events despite adequate anticoagulation. In the last few years, the aging of the population and progressive improvements in imaging methods have led to increases in the diagnosis of cardiac amyloidosis. Novel therapies have been developed to improve patients’ functional status, quality of life and mortality, without data regarding their effect on arrhythmia prevention. In this review, we consider the latest evidence regarding the arrhythmic risk stratification of cardiac amyloidosis, as well as the available therapeutic strategies.

Dapsone Induced Methemoglobinemia: The Importance of Early Diagnosis

We present a case of a 65-year-old male with lower respiratory tract infection who developed methemoglobinemia after starting dapsone therapy. The patient presented with cyanosis and dyspnea, and arterial blood gas analysis revealed a methemoglobin level of 14%. Dapsone was discontinued, and the patient was treated with methylene blue and Vitamin C IV infusion, which resulted in rapid improvement of symptoms and normalisation of methemoglobin levels. This case highlights the importance of recognizing dapsone-induced methemoglobinemia early and promptly initiating appropriate treatment to prevent complications.

Non-participation of asymptomatic candidates in screening protocols reduces early diagnosis and worsens prognosis of colorectal cancer

The Agatsuma et al ’s study shows that despite the evidence of the benefits of an early colorectal cancer (CRC) diagnosis, through screening in asymptomatic subjects, up to 50% of candidates reject this option and many of those affected are diagnosed later, in advanced stages. The efficacy of screening programs has been well-established for several years, which reduces the risk of CRC morbidity and mortality, without taking into account the test used for screening, or other tools. Nevertheless, a significant proportion of patients remain unscreened, so understanding the factors involved, as well as the barriers of the population to adherence is the first step to possibly modify the participation rate. These barriers could include a full range of social and political aspects, especially the type of financial provision of each health service. In Japan, health services are universal, and this advantageous situation makes it easier for citizens to access to these services, contributing to the detection of various diseases, including CRC. Interestingly, the symptomatic CRC group had a lower early-stage diagnosis rate than the patients detected during follow-up for other comorbidities, and symptomatic and cancer screening groups showed similar early-stage diagnosis.

Non-participation of asymptomatic candidates in screening protocols reduces early diagnosis and worsens prognosis of colorectal cancer

The Agatsuma et al ’s study shows that despite the evidence of the benefits of an early colorectal cancer (CRC) diagnosis, through screening in asymptomatic subjects, up to 50% of candidates reject this option and many of those affected are diagnosed later, in advanced stages. The efficacy of screening programs has been well-established for several years, which reduces the risk of CRC morbidity and mortality, without taking into account the test used for screening, or other tools. Nevertheless, a significant proportion of patients remain unscreened, so understanding the factors involved, as well as the barriers of the population to adherence is the first step to possibly modify the participation rate. These barriers could include a full range of social and political aspects, especially the type of financial provision of each health service. In Japan, health services are universal, and this advantageous situation makes it easier for citizens to access to these services, contributing to the detection of various diseases, including CRC. Interestingly, the symptomatic CRC group had a lower early-stage diagnosis rate than the patients detected during follow-up for other comorbidities, and symptomatic and cancer screening groups showed similar early-stage diagnosis.

Innovative approaches in discussions of diabetes among healthcare sector actors in Germany.

The dramatic growth in the rate of diabetes prompts serious debates about awareness, early diagnosis, and care interventions. This Viewpoint aims to explore, from the perspectives of healthcare sector representatives, what challenges and difficulties they face in dealing with diabetes and how these can be overcome. We applied the World Café method for group discussions, which enabled us to bring together 50 stakeholders. They identified challenges at institutional and structural levels under the concepts of awareness, digitalisation, and new forms of care and shared their suggestions for feasible solutions. We learned there is a need for a diabetes map of Germany to identify risk groups and that hybrid solutions should be implemented for treatment, care, prevention, and early diagnosis, considering digital infrastructure. Also, the demand for digital innovation in the healthcare system raised concerns about information transparency and data management.

Liposarcoma excision and removal with right total nephrectomy in a large retroperitoneal perinephric liposarcoma involving the right kidney: A case report

An uncommon tumor, retroperitoneal liposarcoma (LPS) occurs in 2.5 out of every million people. Due to the lack of distinct clinical manifestations, early diagnosis is challenging. LPS is a mesenchymal tumor that is malignant and mostly develops into adipose tissue and is a common soft tissue tumor that affects people in their middle years. The thigh, gluteal region, retroperitoneum, leg, and shoulder area are among the areas that are frequently affected. Here, we report the case of a 72-year-old female who had a history of abdominal distension from the past 6 months, occasional retention of urine from the past 3–4 months, and constipation on and off from the past 1 year. The patient was evaluated and diagnosed with a case of right retroperitoneal LPS and treated by surgical resection. To sum up, retroperitoneal LPS is an uncommon condition involving other organs, though occasionally combined resection of other organs is also required.

Oligodendroglioma: a neurological perspective in Sub-saharan Africa.

Gliomas are a kind of brain cancer that develops from glial cells. Glial cells provide nourishment and energy to nerve cells, and they also preserve the blood-brain barrier. A primary cancer of the central nervous system (CNS) is oligodendroglioma. This suggests that it originates in the brain or spinal cord. While oligodendrogliomas can strike anyone at any age, the age range of 35 to 44 is when they most commonly occur. Oligodendrogliomas are rare in young people and more common in men than women. Based on anecdotal data, patients with oligodendroglioma may present management challenges in Africa. There are delays in diagnosis and referrals due to the scarcity of neuroimaging facilities. A wide range of strategies have been put forth to improve pathology services in low- and middle-income nations. Adequate mentorship, short-term visitor programs, overcoming supply chain constraints, establishing training standards, and establishing the role of pathologists in cancer screening and early diagnosis have all been proposed as solutions to this problem. To sum up, oligodendroglioma is one of the low-grade gliomas this study looked at. Brain cancer is a serious public health concern in Africa. Improved options for screening and therapy are required to better address this problem.

Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model.

Seizure is a common neurological disorder that usually manifests itself in recurring seizure, and these seizures can have a serious impact on a person's life and health. Therefore, early detection and diagnosis of seizure is crucial. In order to improve the efficiency of early detection and diagnosis of seizure, this paper proposes a new seizure detection method, which is based on discrete wavelet transform (DWT) and multi-channel long- and short-term memory-like spiking neural P (LSTM-SNP) model. First, the signal is decomposed into 5 levels by using DWT transform to obtain the features of the components at different frequencies, and a series of time-frequency features in wavelet coefficients are extracted. Then, these different features are used to train a multi-channel LSTM-SNP model and perform seizure detection. The proposed method achieves a high seizure detection accuracy on the CHB-MIT dataset: 98.25% accuracy, 98.22% specificity and 97.59% sensitivity. This indicates that the proposed epilepsy detection method can show competitive detection performance.

Association between neutrophil to high-density lipoprotein cholesterol ratio (NHR) and depression symptoms among the United States adults: a cross-sectional study

BackgroundDepression acts as a noteworthy worldwide public health challenge. Identifying accessible biomarkers is crucial for early diagnosis and intervention. The relationship between depression in adult Americans and the neutrophil to high-density lipoprotein cholesterol ratio (NHR) was investigated in this research.MethodsThe relationship between NHR and depressive symptoms was analyzed utilizing National Health and Nutrition Examination Survey data from 2005 to 2018 and the Patient Health Questionnaire-9. The study included 33,871 participants with complete NHR and depression data. Adjusted multivariable logistic regression models were used to account for possible confounders, and subgroup analyses were conducted to investigate effect changes.ResultsElevated NHR levels were positively correlated with a heightened risk of depression (OR = 1.03, 95% CI: 1.01–1.05, P < 0.0005). After the NHR was divided into tertiles, those in the top tertile had an 18% higher chance of developing depression than those in the bottom tertile (OR = 1.18; 95% CI: 1.05–1.32; P for trend = 0.0041). Subgroup analyses revealed variations in this association based on race and marital status. Additionally, the relationship between NHR and depression demonstrated a U-shaped pattern, with a significant breakpoint identified at an NHR of 6.97.ConclusionThese results imply that the NHR may be a potential biomarker for depression risk, with implications for early detection and personalized treatment. Further research is needed to elucidate the mechanisms underlying the NHR-depression link and establish causality.

Establishing the Interrelations of the Laboratory Parameters in the Gut-Kidney Axis in Cats with Signs of Triple Phosphate Urolithiasis

Introduction. Efficient treatment of the feline urolithiasis much depends on the early diagnosis of the disease, however, the diagnostic algorithm of this type of pathology is extremely poor due to the various reasons, in particular, it does not take into account the interrelations in the gut-kidney axis. Analysis of the state of gastrointestinal tract functioning and the composition of the gut microbiota can improve the potential of diagnosing the urolithiasis, predict the risk, improve the prognosis and choose the correct treatment strategy. The aim of this publication is to establish the interrelations of the laboratory parameters in the gut-kidney axis in cats with struvite urolithiasis with the signs of cystolithiasis.Materials and Methods. The objects of the research were the outbred cats with the triple phosphate urolithiasis with the signs of cystolithiasis: 1st experimental group — females; 2nd experimental group — neutered males; the control group — clinically healthy animals of both sexes. The laboratory and clinical examinations of sick animals included: ultrasonography of abdominal organs; macroscopic and biochemical urine tests; microscopy of urine sediment and urine culture test without determination of antibiotic sensitivity; macroscopic, microscopic and simple chemical examinations of freshly excreted feces; bacteriological culture test of rectal flushes without determination of antibiotic sensitivity.Results. In the urine of cats of the experimental groups, under the activity of gram-negative microorganisms Escherichia coli (0.03±0.01×106 CFU (colony forming units) and 1.00±0.03×106 CFU) and gram-positive microorganisms Staphilococcus intermedius (1.05±0.07×106 CFU and 1.00±0.08×107 CFU) there were recorded within the microscope field of view: alkalization, development of hypersthenuria, proteinuria, hypercalciuria, hematuria, including microhematuria and leukocyturia, crystalluria. The results of coprological examinations in sick cats indicated the presence of stercobilin, well-digested muscle fibres, undigested and digested cellulose, extracellular and intracellular starch, as well as impurities of non-food origin (wool). The data of microbiological examinations of feces indicated the growth of Escherichia coli (1.00±0.05×105 CFU and 1.04±0.08×107 CFU). Along with the cystolytiasis, the acoustic shadowing of the gastrointestinal tract organs in the experimental animals revealed the hyperechogenicity of liver capsule and parenchyma and heterogeneity of the pattern.Discussion and Conclusion. The revealed character of the laboratory parameter changes in the experimental animals, such as the increase of protein and creatinine levels in urine and growth of Escherichia coli in feces, proved the existence of the pathogenetic relationship between the urogenital tract lesion caused by the gram-negative microorganisms and the gut microbiota in the gut-kidney axis. The results of our study of the sick animals’ urine indicated on the infection of the urogenital tract with the urease-producing microorganisms, which led to the alkalization of urine and formation of the infection struvite stones. Urolithiasis, in turn, had an impact on the gut microbiome due to the topographic proximity of the urogenital and gastrointestinal tracts: examination of feces in cats of the experimental group had confirmed the disorder of gastrointestinal tract functioning due to dysbiotic processes in the large intestine.

Correlation analysis between the early diagnosis and severity of neuropathic pain and the activation level of NLRP3 inflammasome: A retrospective study.

To investigate the correlation between neuropathic pain's early diagnosis, severity, and nucleotide-binding domain, leucine-rich-containing family, pyrin domain-containing-3 (NLRP3) inflammasome activation, we retrospectively evaluated 50 patients with neuropathic pain and 50 healthy individuals. Activation of the NLRP3 inflammasome was measured in blood samples, as well as pain levels and clinical markers. Neuropathic pain patients exhibited elevated NLRP3 inflammasome activation. Pain intensity positively correlated with activation. Correlation was also observed with inflammatory markers and pain-related biomarkers. NLRP3 inflammasome demonstrated high diagnostic sensitivity. In conclusion, NLRP3 inflammasome activation influences neuropathic pain initiation and progression. Measuring activation levels may serve as an early diagnostic indicator and severity gauge for neuropathic pain.