The tumor microenvironment (TME) is a complex, highly structured, and dynamic ecosystem that plays a pivotal role in the progression of both primary and metastatic tumors. Precise assessment of the dynamic spatiotemporal features of the TME is crucial for understanding cancer evolution and designing effective therapeutic strategies. Cancer is increasingly recognized as a systemic disease, influenced not only by the TME, but also by a multitude of systemic factors, including whole-body metabolism, gut microbiome, endocrine signaling, and circadian rhythm. In this review, we summarize the intrinsic, extrinsic, and systemic factors contributing to the formation of 'cold' tumors within the framework of the cancer-immunity cycle. Correspondingly, we discuss potential strategies for converting 'cold' tumors into 'hot' ones to enhance therapeutic efficacy.

• MeSH
• Circadian Rhythm MeSH
• Humans MeSH
• Tumor Microenvironment * immunology   MeSH
• Neoplasms * pathology   therapy   MeSH
• Gastrointestinal Microbiome MeSH
• Animals MeSH
• Check Tag
• Humans MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

BACKGROUND AND OBJECTIVE: Biparametric magnetic resonance imaging (bpMRI), excluding dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI), is a potential replacement for multiparametric MRI (mpMRI) in diagnosing clinically significant prostate cancer (csPCa). An extensive international multireader multicase observer study was conducted to assess the noninferiority of bpMRI to mpMRI in csPCa diagnosis. METHODS: An observer study was conducted with 400 mpMRI examinations from four European centers, excluding examinations with prior prostate treatment or csPCa (Gleason grade [GG] ≥2) findings. Readers assessed bpMRI and mpMRI sequentially, assigning lesion-specific Prostate Imaging Reporting and Data System (PI-RADS) scores (3-5) and a patient-level suspicion score (0-100). The noninferiority of patient-level bpMRI versus mpMRI csPCa diagnosis was evaluated using the area under the receiver operating curve (AUROC) alongside the sensitivity and specificity at PI-RADS ≥3 with a 5% margin. The secondary outcomes included insignificant prostate cancer (GG1) diagnosis, diagnostic evaluations at alternative risk thresholds, decision curve analyses (DCAs), and subgroup analyses considering reader expertise. Histopathology and ≥3 yr of follow-up were used for the reference standard. KEY FINDINGS AND LIMITATIONS: Sixty-two readers (45 centers and 20 countries) participated. The prevalence of csPCa was 33% (133/400); bpMRI and mpMRI showed similar AUROC values of 0.853 (95% confidence interval [CI], 0.819-0.887) and 0.859 (95% CI, 0.826-0.893), respectively, with a noninferior difference of -0.6% (95% CI, -1.2% to 0.1%, p < 0.001). At PI-RADS ≥3, bpMRI and mpMRI had sensitivities of 88.6% (95% CI, 84.8-92.3%) and 89.4% (95% CI, 85.8-93.1%), respectively, with a noninferior difference of -0.9% (95% CI, -1.7% to 0.0%, p < 0.001), and specificities of 58.6% (95% CI, 52.3-63.1%) and 57.7% (95% CI, 52.3-63.1%), respectively, with a noninferior difference of 0.9% (95% CI, 0.0-1.8%, p < 0.001). At alternative risk thresholds, mpMRI increased sensitivity at the expense of reduced specificity. DCA demonstrated the highest net benefit for an mpMRI pathway in cancer-averse scenarios, whereas a bpMRI pathway showed greater benefit for biopsy-averse scenarios. A subgroup analysis indicated limited additional benefit of DCE MRI for nonexperts. Limitations included that biopsies were conducted based on mpMRI imaging, and reading was performed in a sequential order. CONCLUSIONS AND CLINICAL IMPLICATIONS: It has been found that bpMRI is noninferior to mpMRI in csPCa diagnosis at AUROC, along with the sensitivity and specificity at PI-RADS ≥3, showing its value in individuals without prior csPCa findings and prostate treatment. Additional randomized prospective studies are required to investigate the generalizability of outcomes.

• MeSH
• Middle Aged MeSH
• Humans MeSH
• Magnetic Resonance Imaging MeSH
• Multiparametric Magnetic Resonance Imaging * MeSH
• Prostatic Neoplasms * diagnostic imaging   pathology   MeSH
• Observer Variation MeSH
• Aged MeSH
• Neoplasm Grading MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Comparative Study MeSH
• Geographicals
• Europe MeSH

The isolation and study of fungi within specific contexts yield valuable insights into the intricate relationships between fungi and ecosystems. Unlike culture-independent approaches, cultivation methods are advantageous in this context because they provide standardized replicates, specific species isolation, and easy sampling. This study aimed to understand the ecological process using a microcosm system with pesticide concentrations similar to those found in the soil, in contrast to high doses, from the isolation of the enriched community. The atrazine concentrations used were 0.02 mg/kg (control treatment), 300 ng/kg (treatment 1), and 3000 ng/kg (treatment 2), using a 28-day microcosm system. Ultimately, the isolation resulted in 561 fungi classified into 76 morphospecies. The Ascomycota phylum was prevalent, with Purpureocillium, Aspergillus, and Trichoderma being consistently isolated, denoting robust and persistent genera. Diversity analyses showed that the control microcosms displayed more distinct fungal morphospecies, suggesting the influence of atrazine on fungal communities. Treatment 2 (higher atrazine concentration) showed a structure comparable to that of the control, whereas treatment 1 (lower atrazine concentration) differed significantly, indicating that atrazine concentration impacted community variance. Higher atrazine addition subtly altered ligninolytic fungal community dynamics, implying its potential for pesticide degradation. Finally, variations in atrazine concentrations triggered diverse community responses over time, shedding light on fungal resilience and adaptive strategies against pesticides.

• MeSH
• Atrazine * metabolism   pharmacology   MeSH
• Biodegradation, Environmental MeSH
• Phylogeny MeSH
• Herbicides * metabolism   MeSH
• Fungi * classification   isolation & purification   metabolism   drug effects   genetics   growth & development   MeSH
• Soil Pollutants metabolism   MeSH
• Mycobiome * drug effects   MeSH
• Soil Microbiology MeSH
• Publication type
• Journal Article MeSH

The formation of memories is a complex, multi-scale phenomenon, especially when it involves integration of information from various brain systems. We have investigated the differences between a novel and consolidated association of spatial cues and amphetamine administration, using an in situ hybridisation method to track the short-term dynamics during the recall testing. We have found that remote recall group involves smaller, but more consolidated groups of neurons, which is consistent with their specialisation. By employing machine learning analysis, we have shown this pattern is especially pronounced in the VTA; furthermore, we also uncovered significant activity patterns in retrosplenial and prefrontal cortices, as well as in the DG and CA3 subfields of the hippocampus. The behavioural propensity towards the associated localisation appears to be driven by the nucleus accumbens, however, further modulated by a trio of the amygdala, VTA and hippocampus, as the trained association is confronted with test experience. Moreover, chemogenetic analysis revealed central amygdala as critical for linking appetitive emotional states with spatial contexts. These results show that memory mechanisms must be modelled considering individual differences in motivation, as well as covering dynamics of the process.

• MeSH
• Amphetamine pharmacology   MeSH
• Amygdala physiology   MeSH
• Hippocampus * physiology   MeSH
• Memory Consolidation * physiology   MeSH
• Rats MeSH
• Brain physiology   MeSH
• Neurons physiology   metabolism   MeSH
• Nucleus Accumbens * physiology   MeSH
• Reward * MeSH
• Memory physiology   MeSH
• Cues MeSH
• Prefrontal Cortex physiology   MeSH
• Mental Recall * physiology   MeSH
• Machine Learning MeSH
• Ventral Tegmental Area * physiology   MeSH
• Animals MeSH
• Check Tag
• Rats MeSH
• Male MeSH
• Animals MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Modulation of the cardiac autonomic nervous system (ANS) is a promising adjuvant therapy in the treatment of atrial fibrillation (AF). In pre-clinical models, pulsed field (PF) energy has the advantage of selectively ablating the epicardial ganglionated plexi (GP) that govern the ANS. This study aims to demonstrate the feasibility and safety of epicardial ablation of the GPs with PF during cardiac surgery with a primary efficacy outcome of prolongation of the atrial effective refractory period (AERP). METHODS: In a single-arm, prospective analysis, patients with or without a history of AF underwent epicardial GP ablation with PF during coronary artery bypass grafting (CABG). AERP was determined immediately pre- and post- GP ablation to assess cardiac ANS function. Holter monitors were performed to determine rhythm status and heart rate variability (HRV) at baseline and at 1-month post-procedure. RESULTS: Of 24 patients, 23 (96%) received the full ablation protocol. No device-related adverse effects were noted. GP ablation resulted in a 20.7 ± 19.9% extension in AERP (P < 0.001). Post-operative AF was observed in 7 (29%) patients. Holter monitoring demonstrated an increase in mean heart rate (74.0 ± 8.7 vs. 80.6 ± 12.3, P = 0.01). There were no significant changes in HRV. There were no study-related complications. CONCLUSIONS: This study demonstrates the safety and feasibility of epicardial ablation of the GP using PF to modulate the ANS during cardiac surgery. Large, randomized analyses are necessary to determine whether epicardial PF ablation can offer a meaningful impact on the cardiac ANS and reduce AF. TRIAL REGISTRATION: Clinical trial registration: NCT04775264.

• MeSH
• Electrocardiography, Ambulatory MeSH
• Electroporation * methods   MeSH
• Atrial Fibrillation * surgery   MeSH
• Ganglia, Autonomic * surgery   MeSH
• Catheter Ablation * methods   MeSH
• Coronary Artery Bypass * methods   MeSH
• Middle Aged MeSH
• Humans MeSH
• Pericardium * surgery   innervation   MeSH
• Prospective Studies MeSH
• Aged MeSH
• Feasibility Studies MeSH
• Treatment Outcome MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Clinical Study MeSH

As one of the most significant global health emergencies, COVID-19 has placed extraordinary demands on healthcare systems worldwide. In India, its widespread transmission has been influenced by the country's diverse climatic conditions, geo-ecological complexity, and dense population. This, vector-borne diseases (VBDs)-including malaria, dengue, kala azar, Japanese encephalitis, and chikungunya-have long posed additional challenges to public health infrastructure. Intriguingly, prior exposure to these diseases may shape immune responses, potentially conferring cross-protection against multiple pathogens. A cross-sectional study aimed at assessing the role of VBDs in COVID-19 incidence and mortality revealed a multifaceted relationship. Prior dengue exposure was linked to an increased risk of SARS-CoV-2 infection and mortality, whereas kala azar, Japanese encephalitis, and chikungunya appeared to have protective influences. Notably, malaria had statistically significant protective effects against both SARS-CoV-2 infection and mortality (p < 0.04). These findings suggest that immune mechanisms-such as cross-reactive antibodies or immune regulation-may alter susceptibility to COVID-19. Given the substantial protective effect of malaria, further investigation is warranted to clarify the underlying biological processes involved. Insights from this study could guide public health strategies, optimize resource allocation, and refine intervention measures in regions where both COVID-19 and VBDs remain major concerns.

• MeSH
• COVID-19 * mortality   epidemiology   transmission   MeSH
• Dengue epidemiology   MeSH
• Chikungunya Fever epidemiology   MeSH
• Incidence MeSH
• Humans MeSH
• Malaria epidemiology   MeSH
• Vector Borne Diseases * epidemiology   mortality   MeSH
• Cross-Sectional Studies MeSH
• SARS-CoV-2 MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• India MeSH

Aim: to investigate the dynamics of the T-cell immune response in rabbits with experimental autoimmune uveitis (EAU) of varying severity. Materials and Methods: The experiment involved two groups of Chinchilla rabbits (15 rabbits in each group). The model of EAU was created. The clinical picture of intraocular inflammation of varying severity was assessed. The determination of the level of white blood cells (WBC), lymphocytes (Lymphs), CD3+, CD4+, CD8+, and CD16+ in the blood of rabbits was conducted. Results: Group I – moderate and severe uveitis, Group II – uveitis of mild severity. WBC, Lymphs, CD3+, CD4+, CD16+ were elevated and statistically significant in both groups of animals compared to control parameters on all days of the experiment (3, 7, 10, 14, 21 days) (p < 0.001). CD8+ level had a significantly lower count than the control one (p < 0.001). When comparing the two groups, the immune response was more active in Group I, and the number of immune cells did not return to normal by the end of the experiment. Conclusion: In the case of EAU, the immune response is characterized by the activation of the T-cell immune system, with the intensity of this response depending on the severity of the clinical presentation of uveitis. Various degrees of clinical severity in EAU were obtained using an experimental model employed in our study. A rapid response of the immune system helps to establish a diagnosis and predict the severity of autoimmune uveitis.

• Keywords
• autoimunitní uveitida,
• MeSH
• Autoimmune Diseases immunology   blood   MeSH
• Rabbits MeSH
• Disease Models, Animal MeSH
• T-Lymphocytes immunology   MeSH
• Uveitis * immunology   blood   MeSH
• Animals MeSH
• Check Tag
• Rabbits MeSH
• Animals MeSH

Objective: To report a case of mitochondrial retinopathy, highlighting its clinical and imaging findings, the importance of genetic confirmation, and the possible implications of heteroplasmy in this disease. Material and Methods: Case report of a mitochondrial retinopathy secondary to m.3243A>G mutation in the MT-TL1 gene. Results: A 32-year-old woman presented with bilateral vision loss, photophobia, and sensorineural hearing loss for more than 3 years. Best corrected visual acuity (BCVA) was 20/60 in the right eye (OD) and 20/25 in the left eye (OS). Fundus examination revealed multiple macular subretinal yellow-white deposits and central chorioretinal atrophy, without edema, hemorrhage, or subretinal fluid in the RE, and juxtafoveal atrophy with retinal pigment epithelium (RPE) metaplasia in the OS. Multimodal imaging raised suspicion of retinal dystrophy, and genetic testing confirmed a mitochondrial retinopathy secondary to the m.3243A>G mutation in the MT-TL1 gene. Conclusions: Bilateral and symmetric RPE atrophic changes in young individuals, especially when associated with systemic symptoms, should prompt a comprehensive evaluation, including multimodal imaging and genetic testing. Identifying causative mutations and understanding the dynamics of mitochondrial DNA in the pathogenesis of these diseases is crucial for improving diagnosis and suggesting potential therapeutic strategies, including gene therapy.

• MeSH
• Adult MeSH
• Heteroplasmy MeSH
• Humans MeSH
• DNA, Mitochondrial genetics   MeSH
• Mitochondrial Diseases * diagnosis   genetics   MeSH
• Mutation MeSH
• Retinal Diseases * diagnosis   genetics   MeSH
• RNA, Transfer, Leu genetics   MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Female MeSH
• Publication type
• Case Reports MeSH

BACKGROUND: Tick-borne encephalitis virus (TBEV) is a significant threat to human health. The virus causes potentially fatal disease of the central nervous system (CNS), for which no treatments are available. TBEV infected individuals display a wide spectrum of neuronal disease, the determinants of which are undefined. Changes to host metabolism and virus-induced immunity have been postulated to contribute to the neuronal damage observed in infected individuals. In this study, we evaluated the cytokine, chemokine, and metabolic alterations in the cerebrospinal fluid (CSF) of symptomatic patients infected with TBEV presenting with meningitis or encephalitis. Our aim was to investigate the host immune and metabolic responses associated with specific TBEV infectious outcomes. METHODS: CSF samples of patients with meningitis (n = 27) or encephalitis (n = 25) were obtained upon consent from individuals hospitalised with confirmed TBEV infection in Brno. CSF from uninfected control patients was also collected for comparison (n = 12). A multiplex bead-based system was used to measure the levels of pro-inflammatory cytokines and chemokines. Untargeted metabolomics followed by bioinformatics and integrative omics were used to profile the levels of metabolites in the CSF. Human motor neurons (hMNs) were differentiated from induced pluripotent stem cells (iPSCs) and infected with the highly pathogenic TBEV-Hypr strain to profile the role(s) of identified metabolites during the virus lifecycle. Virus infection was quantified via plaque assay. RESULTS: Significant differences in proinflammatory cytokines (IFN-α2, TSLP, IL-1α, IL-1β, GM-CSF, IL-12p40, IL-15, and IL-18) and chemokines (IL-8, CCL20, and CXCL11) were detected between neurological-TBEV and control patients. A total of 32 CSF metabolites differed in TBE patients with meningitis and encephalitis. CSF S-Adenosylmethionine (SAM), Fructose 1,6-bisphosphate (FBP1) and Phosphoenolpyruvic acid (PEP) levels were 2.4-fold (range ≥ 2.3-≥3.2) higher in encephalitis patients compared to the meningitis group. CSF urocanic acid levels were significantly lower in patients with encephalitis compared to those with meningitis (p = 0.012209). Follow-up analyses showed fluctuations in the levels of O-phosphoethanolamine, succinic acid, and L-proline in the encephalitis group, and pyruvic acid in the meningitis group. TBEV-infection of hMNs increased the production of SAM, FBP1 and PEP in a time-dependent manner. Depletion of the metabolites with characterised pharmacological inhibitors led to a concentration-dependent attenuation of virus growth, validating the identified changes as key mediators of TBEV infection. CONCLUSIONS: Our findings reveal that the neurological disease outcome of TBEV infection is associated with specific and dynamic metabolic signatures in the cerebrospinal fluid. We describe a new in vitro model for in-depth studies of TBEV-induced neuropathogenesis, in which the depletion of identified metabolites limits virus infection. Collectively, this reveals new biomarkers that can differentiate and predict TBEV-associated neurological disease. Additionally, we have identified novel therapeutic targets with the potential to significantly improve patient outcomes and deepen our understanding of TBEV pathogenesis.

• MeSH
• Cytokines cerebrospinal fluid   MeSH
• Adult MeSH
• Encephalitis, Tick-Borne * cerebrospinal fluid   metabolism   MeSH
• Cells, Cultured MeSH
• Middle Aged MeSH
• Humans MeSH
• Metabolome * physiology   MeSH
• Metabolomics MeSH
• Young Adult MeSH
• Neurons * metabolism   virology   MeSH
• Aged MeSH
• Encephalitis Viruses, Tick-Borne * MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

This study presents a combined experimental and numerical investigation of fiber transport and deposition in a realistic model of the female respiratory tract, extending to the seventh generation of branching. Numerical simulations were performed using the Euler-Lagrange Euler-Rotation (ELER) method, an efficient alternative to conventional Finite Volume Methods that benefits from explicit formulation and vast scalability, enabling fast parallelization on high-performance clusters. The ELER method was coupled with the Lattice Boltzmann Method (LBM) to simulate fiber dynamics under a realistic inspiratory flow profile. Experimental validation was conducted using an identical physical airway replica. The results demonstrated good agreement between simulations and experiments in the upper airways and trachea, with some discrepancies in the bifurcations, likely owing to the challenges of modeling complex turbulent flow with ELER. This method is more accurate than corresponding effective diameter simulations. Deposition patterns were analyzed as a function of fiber dimensions, revealing higher accuracy of the ELER method for smaller particles and confirming the tendency of higher aspect ratio fibers to penetrate deeper into the lungs. The orientation-dependent deposition mechanism was deployed, underscoring the importance of solving the actual orientations of the fibers. While advancing our understanding of fiber transport in female airways, the findings also reveal limitations in current numerical techniques, particularly in bifurcations. This study emphasizes the distinct behavior of fibrous versus spherical particles, with fibers exhibiting a greater propensity to reach deeper lung regions, which has significant implications for inhalation toxicology and drug delivery.

• MeSH
• Administration, Inhalation MeSH
• Models, Biological * MeSH
• Respiratory System * MeSH
• Humans MeSH
• Lung MeSH
• Computer Simulation MeSH
• Trachea * physiology   MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Journal Article MeSH