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Background: COL4A3, COL4A4, and COL4A5 are the only collagen genes that have been implicated in inherited nephropathies in humans. However, the causative genes for a number of hereditary multicystic kidney diseases, myopathies with cramps, and heritable intracranial aneurysms remain unknown.Methods: We characterized the renal and extrarenal phenotypes of subjects from three families who had an autosomal dominant hereditary angiopathy with nephropathy, aneurysms, and muscle cramps (HANAC), which we propose is a syndrome. Linkage studies involving microsatellite markers flanking the COL4A1-COL4A2 locus were performed, followed by sequence analysis of COL4A1 complementary DNA extracted from skin-fibroblast specimens from the subjects.Results: We identified three closely located glycine mutations in exons 24 and 25 of the gene COL4A1, which encodes procollagen type IV alpha1. The clinical renal manifestations of the HANAC syndrome in these families include hematuria and bilateral, large cysts. Histologic analysis revealed complex basement-membrane defects in kidney and skin. The systemic angiopathy of the HANAC syndrome appears to affect both small vessels and large arteries.Conclusions: COL4A1 may be a candidate gene in unexplained familial syndromes with autosomal dominant hematuria, cystic kidney disease, intracranial aneurysms, and muscle cramps. [ABSTRACT FROM AUTHOR]

Background: sNfL, a promising biomarker for neuroaxonal damage in Multiple Sclerosis (MS), requires cautious interpretation due to several comorbidity influences., Objectives: To investigate the impact of renal function on sNfL levels in MS patients., Methods: This retrospective study stratified patients by MS clinical phenotype, acute inflammatory activity (AIA) status-defined as relapse or gadolinium-enhancing lesions within 90 days of sample collection-renal function, assessed by estimated glomerular filtration rate (eGFR), and age (< 40 years, 40-60 years, > 60 years). Comparative analysis of sNfL levels across these groups was performed. The sNfL-eGFR relationship was examined using linear and non-linear regression models, with the best fit determined by R 2 and the F estimator., Results: Data from 2933 determinations across 800 patients were analyzed. Patients with renal insufficiency (RI) (eGFR < 60 mL/min/1.73 m 2 ) and mild renal impairment (MDRF) (eGFR 60-90 mL/min/1.73 m 2 ) showed significantly higher sNfL levels compared to those with normal renal function, a pattern also observed in age groups 40 years and older. No significant differences were found between MDRF patients and those with AIA. Among RI patients, no differences in sNfL levels were observed between relapsing-remitting and progressive MS phenotypes. A regression S-Curve model was identified as the best fit, illustrating a marked increase in sNfL levels beginning at an eGFR of approximately 75 mL/min/1.73 m 2 ., Discussion: Caution is advised when interpreting sNfL levels for monitoring MS in patients with impaired renal function., (© 2024. Fondazione Società Italiana di Neurologia.)

Background: Our objective was to explore various biomarkers for predicting suboptimal responses to disease-modifying treatments (DMTs) in patients with MS (pwMS)., Methods: We conducted a longitudinal, bicentric study with pwMS stratified based on their DMTs responses. Treatment failure (TF) was defined as the onset of a second relapse, presence of two or more T2 new lesions, or disability progression independent of relapse during the follow-up period. We evaluated intrathecal synthesis (ITS) of IgG and IgM using OCB, linear indices, and Reibergrams. Free kappa light chains ITS was assessed using the linear index (FKLCi). NfL and GFAP in serum and CSF, and CHI3L1 in CSF were quantified. Quantitative variables were dichotomized based on the third quartile. Predictive efficacy was assessed through bivariate and multivariate analyses, adjusting for age, sex, EDSS, acute inflammatory activity (AI) -defined as the onset of a relapse or gadolinium-enhancing lesions within a 90-day window of lumbar puncture-, treatment modality, study center, and time from disease onset to treatment initiation. In case of collinearity, multiple models were generated or confounding variables were excluded if collinearity existed between them and the biomarker. The same methodology was used to investigate the predictive potential of various combinations of two biomarkers, based on whether any of them tested positive or exceeded the third quartile., Results: A total of 137 pwMS were included. FKLCi showed no differences based on AI, no correlation with EDSS and was significantly higher in pwMS with TF (p = 0.008). FKLCi>130 was associated with TF in bivariate analysis (Log-Rank p = 0.004). Due to collinearity between age and EDSS, two different models were generated with each of them and the rest of the confounding variables, in which FKLCi>130 showed a Hazard Ratio (HR) of 2.69 (CI: 1.35-5.4) and 2.67 (CI: 1.32-5.4), respectively. The combination of either FKLC or sNfL exceeding the third quartile was also significant in bivariate (Log-Rank p = 0.04) and multivariate (HR=3.1 (CI: 1.5-6.5)) analyses. However, when analyzed independently, sNfL did not show significance, and FKLCi mirrored the pattern obtained in the previous model (HR: 3.04; CI: 1.51-6.1). Treatment with highefficacy DMTs emerged as a protective factor in all models., Discussion: Our analysis and the fact that FKLCi is independent of EDSS and AI suggest that it might be a valuable parameter for discriminating aggressive phenotypes. We propose implementing high-efficacy drugs in pwMS with elevated FKLCi., Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest related to this research. There are no financial, personal, or professional relationships that could potentially bias or influence the interpretation of the results presented in this study., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The present investigation assessed the Liaison® diagnostic performance in detecting Epstein-Barr (EBV) IgM-VCA in a large patient cohort, considering age and symptomatology. VIDAS® were employed as a benchmark for acute EBV infection. The study also probed other coexisting conditions and potential cross-reactivity for error sources. A total of 1311 samples were analyzed, with notable associations found only among paediatric (kappa=0.75) and young adult (kappa=0.58) populations with compatible symptoms. ROC analysis revealed varying optimal cutoff values based on age and symptom categorizations. Logistic regression models identified age and patients from Oncology or Infectious Disease as significant factors for false positives. Potential interferences emerged with RF, ANCA, cytomegalovirus-IgM and VHS-IgM. Notably, Liaison® couldn´t distinguish EBV patients from Oncology, Haemathology or Internal Medicine. This study provides valuable insights, such as implementing ageand symptom-specific thresholds or reviewing test requests, for optimizing EBV serology in microbiology laboratories, leading to faster and more reliable responses., Competing Interests: Declaration of Competing Interest The authors declare that they have no conflicts of interest related to this research. There are no financial, personal, or professional relationships that could potentially bias or influence the interpretation of the results presented in this study., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Intrathecal immunoglobulin synthesis (ITS) plays a crucial role in the diagnosis of multiple sclerosis (MS). Traditionally, the gold standard method for detecting ITS has been through the analysis of oligoclonal bands (OCB). However, the paradigm has shifted with the introduction of the free kappa light chains (FKLC) method. In fact, a recent consensus recommends evaluating FKLC index (FKLCi) as the primary approach and reserving oligoclonal bands with borderline results. The objective of our study is to investigate the diagnostic efficiency of combining FKLC with other methods to predict ITS while minimizing the reliance on OCB., Methods: A total of 192 patients were included in the study, consisting of 145 individuals diagnosed with multiple sclerosis (pwMS) and 46 with other neurological diseases (controls). Among the MS cases, 100 patients were assigned to the Training Cohort (TC), while an external Validation Cohort (VC) comprised of 45 MS patients was established. Diagnostic efficiency was assessed for FKLCi, OCB, Link index, and the Reiber formula for IgG and FKLC. Optimal cutoff values for Link index and FKLCi were also determined. The last procedure was developed for diverse algorithms using the parameters mentioned above, which included the optimal cutoffs previously obtained. The calculations were conducted independently for both the TC and the VC, as well as for a composite cohort formed by combining data from all patients (OC) RESULTS: One algorithm, named KRO, was developed based on the determination of FKLCi and Reiber Formula as the primary diagnostic parameters. For cases where the FKLCi result was mildly increased, OCB was utilized as a supplementary test. The KRO algorithm demonstrated superior diagnostic accuracy in the OC (89%), resulting in a reduction of OCB consumption by 91%., Discussion: The KRO algorithm demonstrated superior sensitivity and accuracy although lower specificity and NPV compared to the use of FKLCi and OCB alone. The present research aligns with the new consensus recommendations regarding the diagnostic approach. Our findings indicate that employing a combined marker approach via KRO could prove to be a proficient screening tool for multiple sclerosis. This approach also holds the potential to address inherent limitations associated with each individual marker. However, to further validate and solidify the efficacy of our algorithm, additional studies involving larger cohorts are warranted., Competing Interests: Declaration of Competing Interest The authors declare that they have no conflicts of interest related to this research. There are no financial, personal, or professional relationships that could potentially bias or influence the interpretation of the results presented in this study., (Copyright © 2023. Published by Elsevier B.V.)

Objectives: The use of specific test panels (STP) for heart failure (HF) could help improve the management of this condition. The purpose of this study is to gain an insight into the level of implementation of STPs in the management of HF in Spain and gather the opinions of experts, with a special focus on parameters related to iron metabolism., Methods: The opinions of experts in HF were gathered in three stages STAGE 1 as follows: level of implementation of STPs (n=40). STAGE 2: advantages and disadvantages of STPs (n=12). STAGE 3: level of agreement with the composition of three specific STPs for HF: initial evaluation panel, monitoring panel, and de novo panel (n=16)., Results: In total, 62.5% of hospitals used STPs for the clinical management of HF, with no association found between the use of STPs and the level of health care (p=0.132) and location of the center (p=0.486) or the availability of a Heart Failure Unit in the center (p=0.737). According to experts, the use of STPs in clinical practice has more advantages than disadvantages (8 vs. 3), with a notable positive impact on diagnostics. Experts gave three motivations and found three limitations to the implementation of STPs. The composition of the three specific STPs for HF was viewed positively by experts., Conclusions: Although the experts interviewed advocate the use of diagnostic and monitoring STPs for HF, efforts are still necessary to achieve the standardization and homogenization of test panels for HF in Spanish hospitals., Competing Interests: Competing interests: Authors state no conflict of interest., (© 2022 Luis Almenar Bonet et al., published by De Gruyter, Berlin/Boston.)

Cerebrospinal kappa free light chain (KFLC)-index is a marker of intrathecal immunoglobulin synthesis that aids in the diagnosis of multiple sclerosis (MS). However, little evidence exists on its prognostic role. Our aim is to analyze the relationship between KFLC-index and other MS biomarkers and to explore its prognostic role. This is a monocentric observational study in a cohort of 52 people with relapsing MS (pwRMS) performed on prospectively acquired clinical data and with retrospective evaluation of biomarkers. We measured KFLC-index, immunoglobulin intrathecal synthesis, cerebrospinal fluid (CSF) chitinase 3-like 1 (CHI3L1), and neurofilament light protein (NFL) and reviewed MRI to detect leptomeningeal contrast enhancement (LMCE). We compared time to Expanded Disability Status Scale (EDSS) 3 and to initiation of high-efficacy disease-modifying therapies (heDMTs) by multivariate Cox regression analysis. Median KFLC-index correlated with IgG/IgM indexes ( p < 0.0001/ p < 0.05) and IgG-oligoclonal bands (OCGBs) ( p < 0.001). Patients with IgM-oligoclonal bands (OCMBs) had a higher KFLC-index ( p = 0.049). KFLC-index was higher in patients with LMCE ( p = 0.008) and correlated with CHI3L1 ( p = 0.007), but disease activity had no effect on its value. Bivariate and multivariate analyses confirmed KFLC-index > 58 as an independent risk factor for reaching an EDSS of 3 (hazard ratio (HR) = 12.4; 95% CI = 1.1-147; p = 0.047) and for the need of treatment with heDMTs (HR = 3.0; 95% CI = 1.2-7.1; p = 0.0013). To conclude, our data suggest a potential prognostic role of the KFLC-index during the MS course., Competing Interests: Authors LC and AL were employed by The Binding Site Iberia. The Binding Site has ceded the turbidimetry kits to measure KFLC for the present study. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Castillo-Villalba, Gil-Perotín, Gasque-Rubio, Cubas-Nuñez, Carratalà-Boscà, Alcalá, Quintanilla-Bordás, Pérez-Miralles, Ferrer, Cañada Martínez, Tortosa, Solís-Tarazona, Campos, Leivas, Laíz Marro and Casanova.)

Background and Purpose: Many artificial intelligence tools are currently being developed to assist diagnosis of dementia from magnetic resonance imaging (MRI). However, these tools have so far been difficult to integrate in the clinical routine workflow. In this work, we propose a new simple way to use them and assess their utility for improving diagnostic accuracy., Materials and Methods: We studied 34 patients with early-onset Alzheimer's disease (EOAD), 49 with late-onset AD (LOAD), 39 with frontotemporal dementia (FTD) and 24 with depression from the pre-existing cohort CLIN-AD. Support vector machine (SVM) automatic classifiers using 3D T1 MRI were trained to distinguish: LOAD vs. Depression, FTD vs. LOAD, EOAD vs. Depression, EOAD vs. FTD. We extracted SVM weight maps, which are tridimensional representations of discriminant atrophy patterns used by the classifier to take its decisions and we printed posters of these maps. Four radiologists (2 senior neuroradiologists and 2 unspecialized junior radiologists) performed a visual classification of the 4 diagnostic pairs using 3D T1 MRI. Classifications were performed twice: first with standard radiological reading and then using SVM weight maps as a guide., Results: Diagnostic performance was significantly improved by the use of the weight maps for the two junior radiologists in the case of FTD vs. EOAD. Improvement was over 10 points of diagnostic accuracy., Conclusion: This tool can improve the diagnostic accuracy of junior radiologists and could be integrated in the clinical routine workflow., (Copyright © 2020 Elsevier Masson SAS. All rights reserved.)

Aim: The aim was to determine the accuracy of C-reactive protein (CRP), procalcitonin and neutrophils in the early detection (fourth postoperative day) of anastomotic leakage (AL) after colorectal surgery., Methods: We conducted a multicentre, prospective study that included a consecutive series of patients who underwent colorectal resection with anastomosis without ostomy (September 2015 to December 2017). CRP, procalcitonin and neutrophil values on the fourth postoperative day after colorectal resection along with the postoperative outcome (60-day AL, morbidity and mortality) were prospectively included in an online, anonymous database., Results: The analysis ultimately included 2501 cases. The overall morbidity and mortality was 30.1% and 1.6%, respectively, and the AL rate was 8.6%. The area under the receiver operating characteristic curve values (95% CI) for detecting AL were 0.84 (0.81-0.87), 0.75 (0.72-0.79) and 0.70 (0.66-0.74) for CRP, procalcitonin and neutrophils, respectively. The best cut-off level for CRP was 119 mg/l, resulting in 70% sensitivity, 81% specificity and 97% negative predictive value. After laparoscopic resection, the accuracy for CRP and procalcitonin was increased, compared with open resection. The combination of two or three of these biomarkers did not significantly increase their accuracy., Conclusion: On the fourth postoperative day, CRP was the most reliable marker for excluding AL. Its high negative predictive value, especially after laparoscopic resection, allows for safe hospital discharge on the fourth postoperative day. The routine use of procalcitonin or neutrophil counts does not seem to increase the diagnostic accuracy., (© 2021 The Association of Coloproctology of Great Britain and Ireland.)

Objective: To better understand the functional state of circulating neutrophils in patients with ischemic stroke (IS) for planning future clinical trials., Methods: We analyzed by flow cytometry activation state of circulating neutrophils and the distribution of neutrophil peripheral subsets in 41 patients with acute IS less than 6 hours before admission and compared them with 22 age-matched healthy controls., Results: Our results demonstrated continuous basal hyperactivation of circulating neutrophils during acute IS, characterized by lower l-selectin expression and higher CD11b expression at the cell surface, increased ROS production by neutrophils, and greater circulating levels of neutrophil elastase. Neutrophil hyperactivation was associated with deregulation of the equilibrium between apoptotic and necrotic. Patients also had higher percentages than controls of the overactive senescent (CXCR4 bright /CD62L dim ) neutrophil subset and increased percentage of neutrophils with a reverse transendothelial migration (CD54 high CXCR1 low ) phenotype. Importantly, neutrophil alterations were associated with the clinical severity of the stroke, evaluated by its NIH Stroke Scale score., Conclusion: Altogether, our results indicate that during acute IS, the inflammatory properties of circulating neutrophils rise, associated with the expansion of harmful neutrophil subsets. These changes in neutrophil homeostasis, associated with disease severity, may play an instrumental role by contributing to systemic inflammation and to the blood-brain barrier breakdown. Our findings highlight new potential therapeutic approaches of stroke by rebalancing the ratio of senescent to immunosuppressive neutrophils or decreasing reverse neutrophil transmigration or both.

Infection of the central nervous system (CNS) by neurotropic viruses represents an increasing worldwide problem in terms of morbidity and mortality for people of all ages. Although unique structural features of the blood-brain-barrier (BBB) provide a physical and physiological barrier, a number of neurotropic viruses are able to enter the CNS resulting in a variety of pathological outcomes. Nonetheless, antigen-specific lymphocytes are ultimately able to accumulate within the CNS and contribute to defense by reducing or eliminating the invading viral pathogen. Alternatively, infiltration of activated cells of the immune system may be detrimental, as these cells can contribute to neuropathology that may result in long-term cellular damage or death. More recently, myeloid cells e.g. neutrophils have been implicated in contributing to both host defense and disease in response to viral infection of the CNS. This review highlights recent studies using coronavirus-induced neurologic disease as a model to determine how neutrophils affect effective control of viral replication as well as demyelination., (Copyright © 2016 Elsevier Inc. All rights reserved.)