Biology subjects

Matsuo, K.

Publications and source records attributed to Matsuo, K..

23 records · Page 2Linked to original sources

bioRxiv2021

IL-6 blockade suppresses the blood-brain barrier disorder, leading to prevention of onset of NMOSD

Neuromyelitis optica spectrum disorder (NMOSD) is an autoimmune astrocytopathy caused by antibodies against the aquaporin 4(AQP4) in end-feet of astrocytes. Breakdown of the blood-brain barrier (BBB) allowing ingress of AQP4 antibodies into the central nervous system (CNS) plays a key role in NMOSD. Although IL-6 blockade therapies such as satralizumab are effective in NMOSD, the therapeutic mechanism of IL-6 blockade, especially with respect to BBB disruption, are not fully understood because of the lack of the human models that are specialized to evaluate the BBB function. We constructed new in vitro human BBB models for evaluating continued barrier function, leukocyte transmigration and intracerebral transferability of IgGs utilizing the newly established triple co-culture system. In vitro and vivo experiments revealed that NMO-IgG increased intracerebral transferability of satralizumab, and that satralizumab suppressed the NMO-IgG-induced transmigration of T cells and barrier dysfunction. These results suggest that satralizumab, which can pass through the BBB in the presence of NMO-IgG, suppresses the barrier dysfunction and the disrupting controlled cellular infiltration at the BBB, leading to prevention of onset of NMOSD. One sentence summarySatralizumab and IL-6 blockade prevent lymphocyte migration and barrier dysfunction induced by NMO-IgG in EAE and novel triple co-culture BBB models.

immunology↗

bioRxiv2020

Long term sterile immunity induced by an adjuvant-containing live-attenuated AIDS virus

Antigen 85B (Ag85B) is one of the most dominant proteins secreted from most mycobacterial species, and it induces Th1-type immune responses as an adjuvant. We genetically constructed a live attenuated simian human immunodeficiency virus to express the adjuvant molecule Ag85B (SHIV-Ag85B). SHIV-Ag85B could not be detected 4 weeks after injection in cynomolgus macaques, and strong SHIV-specific T cell responses were induced in these macaques. When these macaques in which SHIV-Ag85B had become undetectable were challenged with pathogenic SHIV89.6P at 37 weeks after SHIV-Ag85B became undetectable, SHIV89.6P could not be detected after the challenge. Eradication of SHIV89.6P was confirmed by adoptive transfer experiments and CD8-depletion studies. The SHIV-Ag85B-inoculated macaques showed enhancement of Gag-specific monofunctional and polyfunctional CD8+ T cells in the acute phase of pathogenic SHIV challenge. The results suggest that SHIV-Ag85B elicited strong sterile immune responses against pathogenic SHIV and that it may lead to the development of a vaccine for AIDS virus infection. ImportanceDevelopment of an effective HIV vaccine has been a major priority to control the worldwide AIDS epidemic. The moderately attenuated prototypic vaccine strain SIVmac239{Delta}nef has been used in various studies; however, it does not provide sufficient effects to prevent infection. The use of adjuvant in vaccination is thought to be useful for enhancing the immune responses to various pathogens. In the present study, we constructed a live attenuated SHIV virus expressing adjuvant molecule Ag85B and assessed vaccine effects in cynomolgus macaques. The present study shows that live-attenuated SHIV expressing Ag85B elicits viral antigen-specific polyfunctional CD8+ T cell responses against pathogenic SHIV and provide the possibility of eradicating a pathogenic lentivirus from infected animals.

immunology↗

bioRxiv2020

Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts

Many studies have highlighted the difficulty inherent to the clinical application of fundamental neuroscience knowledge based on machine learning techniques. It is difficult to generalize machine learning brain markers to the data acquired from independent imaging sites, mainly due to large site differences in functional magnetic resonance imaging. We address the difficulty of finding a generalizable major depressive disorder (MDD) brain network markers which would distinguish patients from healthy controls (a classifier) or would predict symptom severity (a prediction model) based on resting state functional connectivity patterns. For the discovery dataset with 713 participants from 4 imaging sites, we removed site differences using our recently developed harmonization method and developed a machine learning MDD brain network markers. The classifier achieved 70% generalization accuracy, and the prediction model moderately well predicted symptom severity for an independent validation dataset with 449 participants from 4 different imaging sites. Finally, we found common 2 functional connections between those related to MDD diagnosis and those related to depression symptoms. The successful generalization to the perfectly independent dataset acquired from multiple imaging sites is novel and ensures scientific reproducibility and clinical applicability.

neuroscience↗

bioRxiv2019

GWAS identifies nine nephrolithiasis susceptibility loci related with metabolic and crystallization pathways

Nephrolithiasis is a common urological trait disorder with acute pain. Although previous studies have identified various genetic variations associated with nephrolithiasis, the host genetic factors remain largely unidentified. To identify novel nephrolithiasis loci in the Japanese population, we performed large-scale GWAS (Genome wide association study) using 11,130 cases and 187,639 controls, followed by a replication analysis using 2,289 cases and 3,817 controls. The analysis identified 14 significant loci, including 9 novel loci on 2p23.2-3, 6p21.2, 6p12.3, 6q23.2, 16p12.3, 16q12.2, 17q23.2, 19p13.12, and 20q13.2. Interestingly, 10 of the 14 regions showed a significant association with any of 16 quantitative traits, including metabolic, kidney-related, and electrolyte traits, suggesting a common genetic background among nephrolithiasis patients and these quantitative traits. Four novel loci are related to the metabolic pathway, while the remaining 10 loci are associated with the crystallization pathway. Our findings demonstrate the crucial roles of genetic variations in the development of nephrolithiasis.\n\nSIGNIFICANCE STATEMENTNephrolithiasis is a common urothelial disorders with frequent recurrence rate, but its genetic background is largely remained unidentified. Previous GWAS identified 6 genetic factors in total. Here we performed a GWAS using more than 200,000 samples in the Japanese populations, and identified 14 significant loci and nine of them are novel. We also found that 10 of the 14 loci showed a significant association with any of 16 quantitative traits, including metabolic, kidney-related, and electrolyte traits (BMI, eGFR, UA, Ca etc). All 14 significant loci are associate with either metabolic or crystallization pathways. Thus, our findings elucidated the underlying molecular pathogenesis of nephrolithiasis.

genetics↗

bioRxiv2018

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

When collecting large neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because of the limited capacity of a single site. However, site differences represent the greatest barrier when acquiring multi-site neuroimaging data. We utilized a traveling-subject dataset in conjunction with a multi-site, multi-disorder dataset to demonstrate that site differences are composed of biological sampling bias and engineering measurement bias. Effects on resting-state functional MRI connectivity because of both bias types were greater than or equal to those because of psychiatric disorders. Furthermore, our findings indicated that each site can sample only from among a subpopulation of participants. This result suggests that it is essential to collect large neuroimaging data from as many sites as possible to appropriately estimate the distribution of the grand population. Finally, we developed a novel harmonization method that removed only the measurement bias by using traveling-subject dataset and achieved the reduction of the measurement bias by 29% and the improvement of the signal to noise ratios by 40%.

neuroscience↗