Search Results (3,640)

Influenza is typically framed as an acute respiratory infection, yet accumulating evidence suggests that—like SARS-CoV-2—it may trigger persistent, multi-organ morbidity consistent with a post-acute infection syndrome (“long flu”). Leveraging the nationwide FinnGen registry infrastructure, we conducted a temporally stratified disease-wide association study (DWAS) to map antecedent risk factors and long-term sequelae following clinically diagnosed influenza and COVID-19. We assembled an exposed cohort comprising 9204 individuals with influenza (ICD-10 J09–J11) and 4,258 individuals with COVID-19 (ICD-10 U072) recorded in specialist inpatient/outpatient care between 1998 and 2021, and an unexposed comparator cohort of 420,005 individuals with no recorded influenza or pneumonia (J09–J18) across their available medical history. Across harmonized clinical endpoints, we fitted age- and sex-adjusted Cox proportional hazards models and controlled for multiple testing using a stringent false discovery rate threshold (FDR-adjusted p<0.001), further interrogating temporal persistence within 1-, 5-, and 15-year windows. The DWAS revealed that both infections are associated with broad, system-spanning disease signatures extending beyond the respiratory tract, including circulatory, neurological, metabolic, musculoskeletal, digestive, mental/behavioural, ocular, and oncologic endpoints. Predisposition analyses demonstrated that infection risk is concentrated in individuals with substantial pre-existing multimorbidity, most prominently cardiovascular disease, alongside cardiometabolic, respiratory, renal, neuropsychiatric, and inflammatory conditions. Post-infection analyses identified a durable burden of incident multi-system morbidity after influenza, with particularly robust and persistent cardiovascular and neurological signatures—encompassing thromboembolic disease and major adverse cardiovascular outcomes, as well as migraine, neurodegenerative disorders, and depression—together with metabolic and renal sequelae that, in subsets, extended across multi-year horizons. Collectively, these longitudinal findings reframe influenza as a systemic event embedded within a chronic disease continuum, motivate recognition of “long flu” as a clinically meaningful post-viral risk landscape, and support intensified prevention and risk-stratified surveillance strategies alongside analogous efforts for long COVID. Full article

Background: The association between liver disease and gut microbiota is being widely investigated. Probiotics, such as Bacillus amyloliquefaciens, are among the most notable microbiomes examined in this study. Bacillus amyloliquefaciens shows potential for promoting growth and effectively regulating gut microbiota, though its mechanism of action remains unclear. Methods: The early gavage administration of Bacillus amyloliquefaciens BA5 conferred protection against liver injury in carbon tetrachloride (CCl₄)-induced mice. Growth parameters (body weight and organ index), serum biochemical markers (ALT, AST, T-SOD, MDA, GSH-Px, and T-AOC), liver and jejunum histopathology, and gut microbiota composition were comprehensively evaluated. Results: BA5 supplementation restored serum T-AOC, T-SOD, and GSH-Px levels and attenuated CCl₄-induced increases in ALT, AST, and MDA, suggesting potent anti-oxidant properties. Furthermore, histopathologic assessment showed that CCl₄-induced mice developed acute liver injury and intestinal villi were destroyed, while the BA5 group restored the pathological changes in the tissues to the normal group level. In addition, immunohistochemical staining revealed that BA5 increased the expression level of Claudin-1 which was a key biomarker for assessing the integrity of epithelial/endothelial barriers. Regarding gut microbiota, BA5 significantly enhanced the abundance of beneficial bacteria (Lactobacillus) and decreased the abundance of hazardous bacteria (Fusobacterium, Lachnoclostridium, Phascolarctobacterium, and Escherichia–shigella) caused by CCl₄. Notably, BA5 alone remarkably increased gut microbial diversity compared with that of the Control group. Conclusions: Overall, these findings suggest that BA5 holds promise as a potential therapeutic agent for alleviating CCl₄-induced acute liver injury in mice by mitigating oxidative stress and modulating gut microbiota. Full article

Parkinson’s disease (PD) is a common neurodegenerative disorder characterized by motor dysfunction and non-motor symptoms, including cognitive decline. Animal models that replicate PD’s clinical features are essential for therapeutic research. The widely used subacute 1-methyl-4-phenyl-1,2,3,6tetrahydropyridine (MPTP)-induced mouse model effectively mimics motor deficits but fails to fully represent aging-related non-motor symptoms. In this study, we established an aging-associated PD mouse model by combining MPTP with D-galactose treatment. Compared to mice treated with MPTP alone, MPTP + D-galactose-treated mice exhibited typical motor impairments alongside cognitive deficits in the Morris water maze and Y-maze tests. D-galactose alone induced cognitive impairment without motor dysfunction. Pathological analysis showed that the MPTP + D-galactose treatment caused tyrosine hydroxylase-positive neuron loss similar to MPTP, while D-galactose did not damage these neurons. Additionally, Micro-CT revealed bone loss in both the MPTP + D-galactose and D-galactose groups. This model recapitulates both the motor and aging-related non-motor symptoms of PD, including cognitive impairment and bone loss, providing a more comprehensive tool for studying PD pathogenesis and evaluating potential therapies. Full article

Climate change poses a threat to global rice production by increasing the frequency and intensity of extreme weather events. The widespread cultivation of genetically uniform modern varieties has narrowed the genetic base of rice, increasing its vulnerability to these increased pressures. Rice landraces are traditional rice varieties that have been cultivated by farming communities for centuries and are considered crucial resources of genetic diversity. These landraces are adapted to a wide range of agro-ecological environments and exhibit valuable traits that provide tolerance to various biotic stresses, including drought, salinity, nutrient-deficient soils, and the increasing severity of climate-related temperature extremes. In addition, many landraces possess diverse alleles associated with resistance to biotic stresses, including pests and diseases. In addition, rice landraces exhibit great grain quality characters including high levels of essential amino acids, antioxidants, flavonoids, vitamins, and micronutrients. Hence, their preservation is vital for maintaining agricultural biodiversity and enhancing nutritional security, especially in vulnerable and resource-limited regions. However, rice landraces are increasingly threatened by genetic erosion due to widespread adoption of modern high-yielding varieties, habitat loss, and changing farming practices. This review discusses the roles of rice landraces in developing resilient and climate-smart rice cultivars. Moreover, the Pantiange Heigu landrace, cultivated at one of the highest altitudes globally in Yunnan Province, China, has been used as a case study for integrated conservation by demonstrating the successful combination of in situ and ex situ strategies, community engagement, policy support, and value-added development to sustainably preserve genetic diversity under challenging environmental and socio-economic challenges. Finally, this study explores the importance of employing advanced genomic technologies with supportive policies and economic encouragements to enhance conservation and sustainable development of rice landraces as a strategic imperative for global food security. By preserving and enhancing the utilization of rice landraces, the agricultural community can strengthen the genetic base of rice, improve crop resilience, and contribute substantially to global food security and sustainable agricultural development in the face of environmental and socio-economic challenges. Full article

Dilated cardiomyopathy is characterized by progressive left ventricular dilation and impaired systolic function, with inflammation recognized as a key contributor to disease onset and adverse outcomes. C-reactive protein reflects systemic biochemical inflammation, whereas Delta Neutrophil Index represents the circulating immature neutrophil fraction and provides a cellular dimension of inflammatory burden. The combined diagnostic and prognostic value of these two biomarkers in dilated cardiomyopathy has not been adequately explored. This retrospective study included one hundred and fifty patients with dilated cardiomyopathy and one hundred and fifty age-, diabetes-, and hypertension-matched controls. Demographic, laboratory, and echocardiographic measurements were analyzed. The diagnostic and prognostic performances of C-reactive protein, Delta Neutrophil Index, and their combined model were assessed using logistic regression, receiver operating characteristic curve analysis, reclassification metrics, calibration testing, and decision curve analysis. Additional analyses were performed for patients with left ventricular ejection fraction below twenty percent, and mortality predictors were examined within the dilated cardiomyopathy cohort. Both C-reactive protein and Delta Neutrophil Index levels were significantly higher in patients with dilated cardiomyopathy than in controls and were further elevated in those with severely reduced ejection fraction. Delta Neutrophil Index remained independently associated with severe left ventricular dysfunction (ejection fraction ≤ 20%) in multivariable analysis (odds ratio 2.51). Each biomarker showed an independent association with the presence of dilated cardiomyopathy, and their combined model achieved the highest diagnostic accuracy. In receiver operating characteristic analysis, the area under the curve was 0.895 for Delta Neutrophil Index, 0.691 for C-reactive protein, and increased to 0.920 for the combined model, with a sensitivity of 81.3% and specificity of 92.0%. Delta Neutrophil Index was independently associated with severe left ventricular dysfunction and mortality, while C-reactive protein, age, ejection fraction, urea, and sodium also contributed to mortality risk. Delta Neutrophil Index was independently associated with mortality (odds ratio 2.51), while C-reactive protein, age, ejection fraction, urea, and sodium also contributed to mortality risk. The combined model provided significant improvement in risk reclassification and demonstrated superior calibration and greater net clinical benefit across a wide range of decision thresholds. C-reactive protein and Delta Neutrophil Index offer complementary diagnostic and prognostic information in dilated cardiomyopathy. Their combined use enhances diagnostic discrimination, strengthens risk stratification, and improves identification of patients at high risk for severe ventricular dysfunction and mortality. Incorporation of these accessible biomarkers into clinical evaluation may support earlier recognition and more tailored management of high-risk individuals. Full article

Salivary cortisol is widely used to investigate stress–periodontitis interactions, but its measurement is affected by methodological limitations. Cortisone, the predominant salivary glucocorticoid, may offer analytical advantages, yet its role in periodontitis remains unexplored. This study evaluated salivary cortisone in relation to periodontal disease severity and compared its performance with cortisol. Sixty-seven periodontitis patients were classified as Stage I/II (n = 32) or Stage III/IV (n = 35). A comprehensive periodontal examination was performed, including FMPS, FMBS, PPD, CAL, BoP, and the BL/Age ratio. Unstimulated morning saliva samples were analyzed for cortisone and cortisol using liquid chromatography–tandem mass spectrometry, and for IL-1β and IL-6 using ELISA. Both cortisone and cortisol levels were significantly higher in Stage III/IV periodontitis (p = 0.014). Cortisone correlated strongly with cortisol (ρ = 0.523, p < 0.001) and was positively associated with IL-6 (ρ = 0.322, p = 0.008) and multiple clinical indicators of periodontal disease severity. ROC analysis showed comparable discriminatory performance for cortisone and cortisol (AUC = 0.675), with cortisone demonstrating higher specificity (94%) for Stage III/IV periodontitis. Our findings suggest that salivary cortisone performs similarly to cortisol and warrants further investigation as an alternative salivary glucocorticoid marker in periodontal research. Full article

Cervical cancer remains a major global public health concern, with persistent infection by high-risk human papillomavirus (hrHPV) types recognized as the primary etiological factor. This review explores the multifactorial nature of the disease, focusing on the complex interplay between host genetic susceptibility and epigenetic alterations that drive cervical carcinogenesis. Evidence from genome-wide association studies (GWAS) is discussed, highlighting the contribution of specific genetic loci, predominantly within the HLA region, to susceptibility to HPV infection and disease progression. In parallel, the review examines the molecular mechanisms by which the viral oncoproteins E6 and E7 promote genetic instability and epigenetic reprogramming, including histone modifications and dysregulation of non-coding RNAs. Particular emphasis is placed on DNA methylation, affecting both the viral genome and host genes such as FAM19A4, CADM1, PAX1, and MAL, as a promising biomarker for triage and detection of high-grade intraepithelial lesions (CIN2+). Finally, the review evaluates currently available methylation-based assays and self-sampling devices, highlighting their potential to enhance diagnostic accuracy and increase participation in cervical cancer screening programs. Full article

Background/Objectives: Metabolism is fundamental to all living organisms. It comprises a highly complex network of fine-tuned chemical reactions that sustain life but also generate by-products that damage cellular biomolecules, including DNA, thereby contributing to aging and disease. As metabolism can be largely modified by dietary alterations, it has the potential to positively or negatively affect health and disease. Interestingly, many aging-associated illnesses known to be influenced by diet also show a causal relation with DNA damage. As DNA keeps all instructions for life, and DNA lesions, if unrepaired, interfere with vital processes such as DNA replication and transcription, DNA damage may be an important mediator of the impact of nutrition on health and aging. Methods: Here, we discuss the genome-protective effects of various oral interventions in mice, aiming to elucidate which nutritional alterations lower DNA damage and promote overall health. Results: Our analysis covers a wide range of interventions with reported positive impacts on genomic stability, including modified diets (e.g., dietary restriction, probiotics, micronutrients, fatty acids, and hormones), NAD+ precursors (e.g., nicotinamide riboside), plant derivatives, and synthetic drugs. Among these, caloric and dietary restriction emerge as the most potent, generic modulators of DNA damage and repair processes, enhancing aspects of repair efficiency through metabolic recalibration and improved cellular resilience. Other interventions, like NAD+ precursors, activate partly similar pathways without necessitating reduced food intake. Conclusions: While many interventions show promise, their effects are often less pronounced or are process-specific compared to caloric or dietary restriction. Additionally, many substances lack comprehensive exploration of their genome-protective effects in mice, with often only a small number of studies examining their impact on genome stability. Moreover, the heterogeneity between studies limits direct comparison. However, the observed overlap in mechanistic effects between treatments lends credibility to their potential efficacy. Ultimately, a deeper understanding of these mechanisms could pave the way for translating these findings into, e.g., combination treatments to promote healthy aging in humans. Full article

While striped catfish (Pangasianodon hypophthalmus) is an economically important aquaculture species, its genomic resources remain limited. To date, linkage maps, QTL (quantitative trait loci) analyses, and the identification of candidate genes associated with disease resistance traits are very limited. Therefore, the present study aimed to construct a high-density linkage map and identify candidate genes for this species. Our analysis was conducted on a pedigree population consisting of 560 individuals (490 offspring and 70 parents for 40 families), whose genomes were analyzed using a genotyping-by-sequencing platform. After stringent filtering, 9882 high-quality SNPs were retained for linkage analysis. Linkage analysis placed 8786 markers onto 30 linkage groups (LGs), with an average density of 0.43 SNPs per cM. Recombination rates varied across the 30 linkage groups (LGs), averaging of 3.6 cM/Mb in males, 6.7 cM/Mb in females, and 5.1 cM/Mb when sex-averaged. Using the linkage map, our QTL analysis identified three significant QTLs for disease resistance to Edwardsiella ictaluri, the causative agent of Bacillary Necrosis of Pangasius (BNP). The QTLs were located on LG1, LG9 and LG29, and their peak markers explained 17.03% of the phenotypic variance. An LD-based interval of approximately ±25 kb surrounding the QTL peak was identified as the putative candidate region. However, subsequent genome-wide association analysis did not identify significant SNP effects within these regions, suggesting that the QTLs may represent polygenic or small-effect loci that are detectable only in linkage-based analyses. In summary, this study presents the first high-density SNP-based linkage map for striped catfish and reports significant QTL and associated candidate genes related to disease resistance and growth traits. These findings provide valuable insights into the genetic architecture of economically important traits in P. hypophthalmus. Nevertheless, further validation in independent populations is required before incorporating these markers into selective breeding programs. Full article

Although calpain-5/CAPN5 is widely expressed in mammals, little is known regarding its functions. Pathogenic mutations of CAPN5 are causal for a devastating autoimmune eye disease, neovascular inflammatory vitreoretinopathy (NIV). To provide insight into both the physiological and pathological roles of CAPN5, it is essential to identify candidate interaction partners and possible substrates. Human SH-SY5Y neuroblastoma cells, transfected with full-length catalytically dead (Cys81Ala) CAPN5-3×FLAG, were used for anti-FLAG co-immunoprecipitation (co-IP) and quantitative proteomics using Sequential Window Acquisition of all THeoretical mass spectra (SWATH-MS). Fifty-one proteins were enriched at least four-fold, p < 0.01, relative to cells transfected with an empty FLAG vector. A high proportion (24/51) of candidate CAPN5 interaction partners are associated with protein quality control, including components of the chaperonin, chaperone, and ubiquitin–proteasome systems. Additional candidate interactors include tubulins, kinases, phosphatases, G proteins, and mitochondrial proteins. CAPN5 interactions for 14 of the candidate proteins were confirmed by co-IP and immunoblotting. Of these 14 proteins, 11 exhibited in vitro calcium-induced proteolysis following co-IP with WT CAPN5-3×FLAG. Impaired calcium-induced proteolysis of co-IP proteins was observed for the pathogenic CAPN5 variants R243L and R289W. Further studies are needed to validate the association of candidate CAPN5 interactors with proteins and complexes suggested by the SWATH-MS and co-IP results, and the possible role of CAPN5 within such complexes. The possible involvement of CAPN5 in protein quality control is relevant to NIV, as defects in protein quality control have been implicated in inherited retinal disorders. Proteomic data are available via ProteomeXchange with identifier PXD068008. Full article

Background: Coronary heart disease (CHD) remains a leading cause of morbidity and mortality worldwide. Mitochondria-associated endoplasmic reticulum membranes (MAMs) have recently emerged as critical mediators in cardiovascular pathophysiology; however, their specific contributions to CHD pathogenesis remain largely unexplored. Objective: This study aimed to identify and validate MAM-related biomarkers in CHD through integrated analysis of transcriptomic sequencing data and Mendelian randomization, and to elucidate their underlying mechanisms. Methods: We analyzed two gene expression microarray datasets (GSE113079 and GSE42148) and one genome-wide association study (GWAS) dataset (ukb-d-I9_CHD) to identify differentially expressed genes (DEGs) associated with CHD. MAM-related DEGs were filtered using weighted gene co-expression network analysis (WGCNA). Functional enrichment analysis, Mendelian randomization, and machine learning algorithms were employed to identify biomarkers with direct causal relationships to CHD. A diagnostic model was constructed to evaluate the clinical utility of the identified biomarkers. Additionally, we validated the two hub genes in peripheral blood samples from CHD patients and normal controls, as well as in aortic tissue samples from a low-density lipoprotein receptor-deficient (LDLR−/−) atherosclerosis mouse model. Results: We identified 4174 DEGs, from which 3326 MAM-related DEGs (DE-MRGs) were further filtered. Mendelian randomization analysis coupled with machine learning identified two biomarkers, DHX36 and GPR68, demonstrating direct causal relationships with CHD. These biomarkers exhibited excellent diagnostic performance with areas under the receiver operating characteristic (ROC) curve exceeding 0.9. A molecular interaction network was constructed to reveal the biological pathways and molecular mechanisms involving these biomarkers. Furthermore, validation using peripheral blood from CHD patients and aortic tissues from the Ldlr−/− atherosclerosis mouse model corroborated these findings. Conclusions: This study provides evidence supporting a mechanistic link between MAM dysfunction and CHD pathogenesis, identifying candidate biomarkers that have the potential to serve as diagnostic tools and therapeutic targets for CHD. While the validated biomarkers offer valuable insights into the molecular pathways underlying disease development, additional studies are needed to confirm their clinical relevance and therapeutic potential in larger, independent cohorts. Full article

Background and Objectives: Telemedicine has become an essential component of chronic Inflammatory Bowel Disease (IBD) care, yet the factors that shape patient satisfaction with remote consultations remain only partially understood. This study aimed to assess satisfaction with institutional telemedicine services among Italian patients with ulcerative colitis (UC) and Crohn’s disease (CD), and to identify sociodemographic, clinical and organisational predictors to inform more person-centred telehealth models. Materials and Methods: We conducted a prospective, multi-centre, cross-sectional study in three IBD units in northern, central and southern Italy between June and October 2024. Consecutive adult patients who had completed a scheduled, non-emergency telemedicine visit were invited within 24–48 h to complete an online questionnaire including the Italian Telemedicine Satisfaction Questionnaire (I-TSQ), sociodemographic items, IBD-related variables, and telemedicine process indicators (accessibility, technology usability, technical support, time saved). Data were analysed descriptively and with multivariable linear regression to determine independent predictors of satisfaction, adjusting for recruiting centre. Results: A total of 705 patients participated (54.9% UC; 55.3% disease duration > 10 years). Overall, telemedicine satisfaction was high (mean I-TSQ total 57.5 ± 4.9; range 35–70), and all respondents reported reduced indirect costs compared with in-person visits. Greater ease of technology use, more frequent contact with the care team, male sex, older age, and employment were independently associated with higher satisfaction scores. Conversely, first-ever teleconsultations, CD, subcutaneous therapies, more difficult platform access, and the need for technical support were linked to lower satisfaction. Model fit was modest (R² up to 0.20), suggesting the presence of additional unmeasured relational and contextual factors. Conclusions: Telemedicine for IBD is widely accepted in Italy, but satisfaction is strongly conditioned by digital usability, previous experience, and clinical complexity. Tailored telehealth pathways that incorporate user-friendly platforms, proactive technical support, and attention to vulnerable subgroups are needed to translate high satisfaction into sustained, equitable remote care. Full article

Background: Left ventricular systolic dysfunction (LVSD) is a major determinant of prognosis in patients with ischemic heart disease. Electrocardiography (ECG) is widely available, inexpensive, and may aid in identifying patients at risk. We hypothesized that a composite score derived from multiple established ECG markers could improve the detection of LVSD in patients with stable angina. Methods: In this single-center, cross-sectional study, 177 patients undergoing elective coronary angiography for stable angina were included. Patients were classified as LVSD-negative (n = 123) or LVSD-positive (n = 54) based on echocardiographic ejection fraction. ECG parameters, including fragmented QRS, pathologic Q waves, R-wave peak time, QRS duration, and frontal QRS–T angle, were assessed. Independent predictors of LVSD were identified using multivariate logistic regression. A composite ECG score was constructed by assigning one point to each abnormal parameter. Model robustness was evaluated using bootstrap resampling (1000 iterations) and 10-fold cross-validation. Results: Multivariable analysis identified prior stent implantation, fragmented QRS, pathological Q waves, R-wave peak time, frontal QRS–T angle (log-transformed), and QRS duration as independent predictors of LVSD. ROC analysis demonstrated good discriminatory performance for R-wave peak time (AUC 0.804), QRS duration (AUC 0.649), and frontal QRS–T angle (AUC 0.825) measurements. The composite ECG score showed a stepwise association with LVSD: a score of ≥2 yielded high sensitivity (88%) and negative predictive value (97%), whereas a score of ≥3 provided high specificity (100%) and positive predictive value (100%). Bootstrap resampling and cross-validation confirmed model stability and strong discriminatory performance (mean AUC, 0.964; accuracy, 0.91). Conclusions: A simple composite ECG score integrating multiple established ECG markers is associated with the robust detection of LVSD in patients with stable angina. Although not a substitute for echocardiography, this score may support early risk stratification and help identify patients who warrant further imaging evaluations. External validation in larger and more diverse populations is required before routine clinical implementation of this model. Full article

Vasculitides are a heterogeneous group of disorders characterized by inflammation of blood vessel walls, leading to tissue ischemia and organ injury. Traditional inflammatory markers such as the erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) are widely used but lack diagnostic specificity. This has driven the search for more informative biomarkers across vasculitis subtypes. This review summarizes current evidence for validated and emerging biomarkers in large-, medium-, small-, and variable-vessel vasculitis, as well as single-organ vasculitis. Key analytes reflect systemic inflammation, such as serum amyloid A (SAA) and interleukin-6 (IL-6), as well as endothelial activation, complement pathways, neutrophil and macrophage activation, and organ-specific damage. Promising candidates include pentraxin-3 (PTX3) and matrix metalloproteinase-9 (MMP-9) in large-vessel vasculitis; N-terminal pro-B-type natriuretic peptide (NT-proBNP) and S100 proteins in Kawasaki disease; galactose-deficient immunoglobulin A1 (Gd-IgA1) and urinary angiotensinogen (AGT) in IgA vasculitis; and tissue inhibitor of metalloproteinases-1 (TIMP-1), S100 proteins, complement C3, and PTX3 in antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis. Although these biomarkers provide mechanistic insight, most lack disease-specificity, external validation, or standardized assays. Future progress will require multicenter studies, harmonized testing, and integrated biomarker panels combined with imaging modalities to improve diagnosis, activity assessment, and monitoring. Full article

Neuroinflammation is a hallmark of both acute and chronic neurodegenerative diseases and is driven, in part, by activated glial cells, including microglia. A key regulator of this inflammatory response is the NLRP3 inflammasome, an immune sensor that can be triggered by diverse, unrelated stimuli such as pathogen-associated molecular patterns, cellular stress, and mitochondrial dysfunction. Despite progress in targeting NLRP3-mediated immune activation, many drug candidates fail, potentially due to the limited availability of physiologically relevant disease models. The SIM-A9 murine microglial cell line, established in 2014, has emerged as a widely used model for studying neuroinflammation; however, its proteome has not yet been systematically characterized. In this study, we investigated the proteomic landscape of SIM-A9 microglia treated with classical pro-inflammatory stimuli, including lipopolysaccharide (LPS) and extracellular ATP and nigericin (NG), to induce NLRP3 inflammasome activation. Using complementary proteomic approaches, we quantified 4903 proteins and observed significant enrichment of proteins associated with immune and nervous system processes. Differentially expressed proteins were consistent with an activated microglial phenotype, including the upregulation of proteins involved in NLRP3 inflammasome signaling. To our knowledge, this is the first comprehensive proteomic analysis of SIM-A9 microglia. These findings provide a foundational resource that may enhance the interpretation and design of future studies using SIM-A9 cells as a model of neuroinflammation. Full article