Cellular senescence in white matter microglia is induced during ageing in mice and exacerbates the neuroinflammatory phenotype

Cellular senescence, a state of irreversible cell-cycle arrest caused by a variety of cellular stresses, is critically involved in age-related tissue dysfunction in various organs. However, the features of cells in the central nervous system that undergo senescence and their role in neural impairment are not well understood as yet. Here, through comprehensive investigations utilising single-cell transcriptome analysis and various mouse models, we show that microglia, particularly in the white matter, undergo cellular senescence in the brain and spinal cord during ageing and in disease models involving demyelination. Microglial senescence is predominantly detected in disease-associated microglia, which appear in ageing and neurodegenerative diseases. We also find that commensal bacteria promote the accumulation of senescent microglia and disease-associated microglia during ageing. Furthermore, knockout of p16 INK4a, a key senescence inducer, ameliorates the neuroinflammatory phenotype in damaged spinal cords in mice. These results advance our understanding of the role of cellular senescence in the central nervous system and open up possibilities for the treatment of age-related neural disorders.Matsudaira T., Nakano S., Konishi Y., et al. Cellular senescence in white matter microglia is induced during ageing in mice and exacerbates the neuroinflammatory phenotype. Communications Biology 6, 665 (2023); https://doi.org/10.1038/s42003-023-05027-2

Development of Radiation Hard N+-on-P Silicon Microstrip Sensors for Super LHC

Radiation tolerance up to 1015 1-MeV neq/cm2 is required for the silicon microstrip sensors to be operated at the Super LHC experiment. As a candidate for such sensors, we are investigating non-inverting n+-on-p sensors. We manufactured sample sensors of 1 times 1 cm in 4" and 6" processes with implementing different interstrip electrical isolation structures. Industrial high resistive p-type wafers from FZ and MCZ growth are tested. They are different in crystal orientations lang100rang and lang111rang with different wafer resistivities. The sensors were irradiated with 70-MeV protons and characterized in views of the leakage current increase, noise figures, electrical strip isolation, full depletion voltage evolution, and charge collection efficiency

Value of adding the renal pathological score to the kidney failure risk equation in advanced diabetic nephropathy

金沢大学医薬保健研究域医学系Background There have been a limited number of biopsy-based studies on diabetic nephropathy, and therefore the clinical importance of renal biopsy in patients with diabetes in late-stage chronic kidney disease (CKD) is still debated. We aimed to clarify the renal prognostic value of pathological information to clinical information in patients with diabetes and advanced CKD. Methods We retrospectively assessed 493 type 2 diabetics with biopsy-proven diabetic nephropathy in four centers in Japan. 296 patients with stage 3–5 CKD at the time of biopsy were identified and assigned two risk prediction scores for end-stage renal disease (ESRD): the Kidney Failure Risk Equation (KFRE, a score composed of clinical parameters) and the Diabetic Nephropathy Score (D-score, a score integrated pathological parameters of the Diabetic Nephropathy Classification by the Renal Pathology Society (RPS DN Classification)). They were randomized 2:1 to development and validation cohort. Hazard Ratios (HR) of incident ESRD were reported with 95% confidence interval (CI) of the KFRE, D-score and KFRE+D-score in Cox regression model. Improvement of risk prediction with the addition of D-score to the KFRE was assessed using c-statistics, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Results During median follow-up of 1.9 years, 194 patients developed ESRD. The cox regression analysis showed that the KFRE,D-score and KFRE+D-score were significant predictors of ESRD both in the development cohort and in the validation cohort. The c-statistics of the D-score was 0.67. The c-statistics of the KFRE was good, but its predictive value was weaker than that in the miscellaneous CKD cohort originally reported (c-statistics, 0.78 vs. 0.90) and was not significantly improved by adding the D-score (0.78 vs. 0.79, p = 0.83). Only continuous NRI was positive after adding the D-score to the KFRE (0.4%; CI: 0.0–0.8%). Conclusions We found that the predict values of the KFRE and the D-score were not as good as reported, and combining the D-score with the KFRE did not significantly improve prediction of the risk of ESRD in advanced diabetic nephropathy. To improve prediction of renal prognosis for advanced diabetic nephropathy may require different approaches with combining clinical and pathological parameters that were not measured in the KFRE and the RPS DN Classification. © 2018 Yamanouchi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Nationwide multicentre kidney biopsy study of Japanese patients with type 2 diabetes

金沢大学医薬保健研究域医学系Background. The clinical and pathologic manifestations of nephropathy due to type 2 diabetes are diverse, but large-scale pathologic studies with long-termobservations are limited. Methods. Kidney biopsies and clinical data of 600 patients with type 2 diabetes were collected retrospectively from 13 centres across Japan. Thirteen pathologic findings (nine glomerular lesions, two interstitial lesions and two vascular lesions) were clearly defined and scored. Results. During the observation period, there were 304 composite kidney events [dialysis, doubling of creatinine or reduction of estimated glomerular filtration rate (eGFR) by half], 31 instances of chronic kidney disease (CKD) G5D, 76 cardiovascular events and 73 deaths. The mean observation period was 72.4 months. The distribution of CKD heat map categories for the 600 patients was 103 green or yellow, 149 orange and 348 red. Even in the cases in the green and yellow category, diffuse lesions (81.6%), polar vasculosis (42.6%) and subendothelial space widening (35.1%) were commonly detected. Cox proportional hazard analysis revealed that the presence of nodular lesions [hazard ratio (HR) 21.1, 95% confidence interval (CI) 5.3-84.6], exudative lesions (HR 5.1, 95% CI 1.3-20.3) and mesangiolysis (HR 7.6, 95% CI 2.0-28.8) in cases in the green and yellow category were associated with significantly great impact on composite kidney events after adjustment for clinical risk factors. Conclusions. This nationwide study on kidney biopsy of 600 cases with type 2 diabetes revealed that pathologic findings (presence of nodular lesions, exudative lesions and mesangiolysis) were strong predictors of kidney events in low-risk patients. © The Author 2017.Embargo Period 12 month

Parameter Visualization of Benchtop Nuclear Magnetic Resonance Spectra toward Food Process Monitoring

Low-cost and user-friendly benchtop low-field nuclear magnetic resonance (NMR) spectrometers are typically used to monitor food processes in the food industry. Because of excessive spectral overlap, it is difficult to characterize food mixtures using low-field NMR spectroscopy. In addition, for standard compounds, low-field benchtop NMR data are typically unavailable compared to high-field NMR data, which have been accumulated and are reusable in public databases. This work focused on NMR parameter visualization of the chemical structure and mobility of mixtures and the use of high-field NMR data to analyze benchtop NMR data to characterize food process samples. We developed a tool to easily process benchtop NMR data and obtain chemical shifts and T2 relaxation times of peaks, as well as transform high-field NMR data into low-field NMR data. Line broadening and time–frequency analysis methods were adopted for data processing. This tool can visualize NMR parameters to characterize changes in the components and mobilities of food process samples using benchtop NMR data. In addition, assignment errors were smaller when the spectra of standard compounds were identified by transferring the high-field NMR data to low-field NMR data rather than directly using experimentally obtained low-field NMR spectra

Silica removal at sewage treatment plants causes new silica deficiency

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DNA motifs hydrogel microparticles as gold nanocatalyst support material

Gold nanoparticles (Au NPs) are unique catalysts because the nanoparticulation increases the number high coordination unsaturation sites. For Au NPs to act as catalysts, the choice of a suitable support for the desired reaction is essential to ensure homogeneous dispersion of the particles while maintaining their nanosize. As a support material, hydrogels obtained by three-dimensional crosslinking of hydrophilic polymers are suitable dispersants for Au NPs. In addition, their high affinity for water-rich environments and high biocompatibility have attracted attention for biological and biomedical reactions. However, application in small, confined spaces such as in vivo requires micronization of the hydrogel. Here, we have developed a gold catalyst supported on micro-sized DNA hydrogels with variable internal crosslinking densities composed of simple DNA nanostructures called motifs. The short strand length of the DNA motif resulted in DNA hydrogel particles with high crosslinking density and Au NPs with small particle size. Furthermore, our micro-sized DNA hydrogel particle-supported gold catalyst system sufficiently advanced the model reaction with a very small amount of gold catalyst compared to a gel-supported gold catalyst system with a comparable Au NP size. The crosslinking density of the DNA hydrogel particles, and thus the size of the resulting Au NPs, can be easily varied and the catalytic activity can be enhanced by increasing the surface area of the hydrogel catalyst support through microparticulation. Our findings based on DNA nanotechnology suggest that the physical properties of the DNA hydrogel particles, such as particle size and crosslinking density, and the catalytic activity of the Au NPs, can be easily designed using computer software, as can the arrangement and length of the motifs that form the constituent units