Exploring epigenetic strategies for the treatment of osteoporosis.

The worldwide trend toward an aging population has resulted in a higher incidence of chronic conditions, such as osteoporosis. Osteoporosis, a prevalent skeletal disorder characterized by decreased bone mass and increased fracture risk, encompasses primary and secondary forms, each with distinct etiologies. Mechanistically, osteoporosis involves an imbalance between bone resorption by osteoclasts and bone formation by osteoblasts. Current pharmacological interventions for osteoporosis, such as bisphosphonates, denosumab, and teriparatide, aim to modulate bone turnover and preserve bone density. Hormone replacement therapy and lifestyle modifications are also recommended to manage the condition. While current medications offer therapeutic options, they are not devoid of limitations. Recent studies have highlighted the importance of epigenetic mechanisms, including DNA methylation and histone modifications, in regulating gene expression during bone remodeling. The use of epigenetic drugs, or epidrugs, to target these mechanisms offers a promising avenue for therapeutic intervention in osteoporosis. In this review, we comprehensively examine the recent advancements in the application of epidrugs for treating osteoporosis.

Strain improvement of Aspergillus sojae for increased l-leucine aminopeptidase and protease production.

Conventional random mutagenesis was implemented to improve l-leucine aminopeptidase (LAP) and protease production in Aspergillus sojae. Through successive mutagenesis by ethyl methanesulfonate (EMS), UV, and 1-methyl-2-nitro-1-nitrosoguanidine (NTG), EMS25, EU36, and EUN13 mutants from each mutagenesis process were screened using a newly developed quick and easy screening method. The mutant EUN13 exhibited a 9.6-fold increase in LAP [50.61 ± 4.36 U/g-initial dried substrate (IDS)] and a 3.8-fold increase in protease production (13.36 ± 0.31 U/g-IDS) on solid-state fermentation. This mutant showed more frequent branching and higher lap1 mRNA expression as compared to the parent strain SMF 131, which at least in part contributed to the increased LAP and protease production. The mutant EUN13 can be used as a starter organism for diverse industrial soybean fermentation processes for the production of conventional products such as meju, doenjang, and ganjang as well as for the production of new fermented soybean-based sauces.

Psychometric Properties of the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) in Public First Responders.

Problematic alcohol consumption is prevalent among first responders because alcohol is commonly used to cope with occupational stress and frequent exposure to traumatic incidents, making them an at-risk population for alcohol use disorders (AUD). This study investigated the psychometric properties of the Korean version of the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) among public first responders. The Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders-IV-Text Revision (SCID), AUDIT-C, AUDIT, and CAGE were administered to 222 public first responders, who were recruited by convenience sampling. One-week test-retest reliability was evaluated in a subsample (n = 24). Receiver operating characteristic (ROC) curve analyses were conducted to evaluate the diagnostic accuracy and estimate the optimal cut-off scores for any AUD and alcohol dependence. Three different analytic criteria were utilized to calculate the cut-off scores. The AUDIT-C demonstrated good test-retest reliability (intraclass correlation coefficient for test-retest reliability = 0.91) and satisfactory convergent validity. The areas under the ROC curves for any AUD and alcohol dependence of the AUDIT-C were 0.87 and 0.93, respectively. For any AUD, all three criteria suggested a cut-off score of 7.5 (sensitivity = 81.8%, specificity = 79.8%), whereas for alcohol dependence, a cut-off score of 8.5 (sensitivity = 85.7%, specificity = 86.1%) was derived from two criteria. In conclusion, the AUDIT-C demonstrated good reliability and validity and proved to be a brief and effective screening test for AUD among first responders.

Characterization of Aspergillus sojae Isolated from Meju, Korean Traditional Fermented Soybean Brick.

Initially, we screened 18 Aspergillus sojae-like strains from Aspergillus spp. isolated from meju (Korean traditional fermented soybean brick) according to their morphological characteristics. Because members of Aspergillus section Flavi are often incorrectly identified because of their phylogenetic similarity, we re-identified these strains at the morphological and molecular genetic levels. Fourteen strains were finally identified as A. sojae. The isolates produced protease and α-amylase with ranges of 2.66-10.64 and 21.53-106.73 unit/g-initial dry substrate (U/g-IDS), respectively, which were equivalent to those of the koji (starter mold) strains employed to produce Japanese soy sauce. Among the isolates and Japanese koji strains, strains SMF 127 and SMF 131 had the highest leucine aminopeptidase (LAP) activities at 6.00 and 6.06 U/g-IDS, respectively. LAP plays an important role in flavor development because of the production of low-molecular-weight peptides that affect the taste and decrease bitterness. SMF 127 and SMF 131 appeared to be non-aflatoxigenic because of a termination point mutation in aflR and the lack of the polyketide synthase gene found in other A. sojae strains. In addition, SMF 127 and SMF 131 were not cyclopiazonic acid (CPA) producers because of the deletion of maoA, dmaT, and pks/nrps, which are involved in CPA biosynthesis. Therefore, A. sojae strains such as SMF 127 and SMF 131, which have high protease and LAP activities and are free of safety issues, can be considered good starters for soybean fermentations, such as in the production of the Korean fermented soybean products meju, doenjang, and ganjang.

Central Nervous System and its Disease Models on a Chip.

Technologies for microfluidics and biological microelectromechanical systems have been rapidly progressing over the past decade, enabling the development of unique microplatforms for in vitro human central nervous system (CNS) and related disease models. Most fundamental techniques include manipulation of axons, synapses, and neuronal networks, and different culture conditions are possible, such as compartmental, co-culturing, and 3D. Various CNS disease models, such as Alzheimer's disease (AD), Parkinson's disease (PD), multiple sclerosis (MS), epilepsy, N-methyl-D-aspartate receptor (NMDAR) encephalitis, migraine, diffuse axonal injury, and neuronal migration disorders, have been successfully established on microplatforms. In this review, we summarize fundamental technologies and current existing CNS disease models on microplatforms. We also discuss possible future directions, including application of these methods to pathological studies, drug screening, and personalized medicine, with 3D and personalized disease models that could generate more realistic CNS disease models.

Concise Review: Stem Cell Microenvironment on a Chip: Current Technologies for Tissue Engineering and Stem Cell Biology.

UNLABELLED: Stem cells have huge potential in many therapeutic areas. With conventional cell culture methods, however, it is difficult to achieve in vivo-like microenvironments in which a number of well-controlled stimuli are provided for growing highly sensitive stem cells. In contrast, microtechnology-based platforms offer advantages of high precision, controllability, scalability, and reproducibility, enabling imitation of the complex physiological context of in vivo. This capability may fill the gap between the present knowledge about stem cells and that required for clinical stem cell-based therapies. We reviewed the various types of microplatforms on which stem cell microenvironments are mimicked. We have assigned the various microplatforms to four categories based on their practical uses to assist stem cell biologists in using them for research. In particular, many examples are given of microplatforms used for the production of embryoid bodies and aggregates of stem cells in vitro. We also categorized microplatforms based on the types of factors controlling the behaviors of stem cells. Finally, we outline possible future directions for microplatform-based stem cell research, such as research leading to the production of well-defined environments for stem cells to be used in scaled-up systems or organs-on-a-chip, the regulation of induced pluripotent stem cells, and the study of the genetic states of stem cells on microplatforms. SIGNIFICANCE: Stem cells are highly sensitive to a variety of physicochemical cues, and their fate can be easily altered by a slight change of environment; therefore, systematic analysis and discrimination of the extracellular signals and intracellular pathways controlling the fate of cells and experimental realization of sensitive and controllable niche environments are critical. This review introduces diverse microplatforms to provide in vitro stem cell niches. Microplatforms could control microenvironments around cells and have recently attracted much attention in biology including stem cell research. These microplatforms and the future directions of stem cell microenvironment are described.

Validation of the Athens Insomnia Scale for screening insomnia in South Korean firefighters and rescue workers.

PURPOSE: Sleep problems are a major cause of occupational stress in firefighters and rescue workers. We evaluated the psychometric properties of the Athens Insomnia Scale (AIS) among South Korean firefighters and rescue workers. METHODS: Structured clinical interviews and self-report questionnaires were administered to 221 firefighters and rescue workers. The Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Short-Form 36-item Health Survey (SF36), and Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) were used to examine convergent and divergent validity. Test-retest reliability was calculated from a subsample (n = 24). Analysis of internal consistency, factor analysis, and receiver operator characteristic curve analysis were conducted. RESULTS: Cronbach's alpha was 0.88. The mean item-total correlation coefficient was 0.73. The test-retest reliability was excellent (ICC = 0.94). Significant correlations of the AIS with the PSQI, ISI, ESS, and SF36 confirmed convergent validity. Nonsignificant associations of the AIS with the AUDIT-C and socioeconomic status showed divergent validity. Factor analysis revealed a one-factor structure. For groups with different symptom severity, group-specific cutoff scores which may improve positive predictive values were suggested. CONCLUSIONS: The AIS may be a useful tool with good reliability and validity for screening insomnia symptoms in firefighters and rescue workers.

Validation of the Korean version of the Connor-Davidson Resilience Scale-2 in firefighters and rescue workers.

OBJECTIVE: Resilience has been considered as a protective factor against stress. Evaluating resilience in firefighters and rescue workers, who are frequently exposed to traumatic events, is important and relevant. This study examined the psychometric properties of the Korean version of the Connor-Davidson Resilience Scale-2 (CD-RISC2). METHODS: Two-hundred twenty-two current professional firefighters and rescue workers were assessed by standardized, semi-structured clinical interviews and self-report questionnaires. Internal consistency, correlation with the CD-RISC, convergent validity, divergent validity, and predictive validity of posttraumatic stress disorder (PTSD) symptom severity were analyzed. RESULTS: The CD-RISC2 demonstrated good internal consistency (α=0.75), item-total correlation (r=0.89-0.90), and convergent and divergent validity. The total score of the CD-RISC2 showed significant correlations with the subtotal of the remaining 23 CD-RISC items (r=0.77, p<0.001) and with the score of each CD-RISC item (r=0.15-0.66, all p<0.05). The magnitude of the relationship between the number of traumatic experiences and PTSD symptom severity was greater in the low resilience group than in the high resilience group (p for interaction=0.002). The likelihood-ratio test confirmed that the model predicting PTSD symptom severity based on the CD-RISC2 total score was not improved by the inclusion of subtotal scores of the remaining 23 CD-RISC items (χ(2)=0.31, p=0.58). CONCLUSIONS: These results suggest that the CD-RISC2 would be a valuable tool in evaluating resilience quickly and efficiently in firefighters and rescue workers.

Magnetic particle imaging with a planar frequency mixing magnetic detection scanner.

We present the first experimental results of our planar-Frequency Mixing Magnetic Detection (p-FMMD) technique to obtain Magnetic Particles Imaging (MPI). The p-FMMD scanner consists of two magnetic measurement heads with intermediate space for the analysis of the sample. The magnetic signal originates from the nonlinear magnetization characteristics of superparamagnetic particles as in case of the usual MPI scanner. However, the detection principle is different. Standard MPI records the higher order harmonic response of particles at a field-free point or line. By contrast, FMMD records a sum-frequency component generated from both a high and a low frequency magnetic field incident on the magnetically nonlinear particles. As compared to conventional MPI scanner, there is no limit on the lateral dimensions of the sample; just the sample height is limited to 2 mm. In addition, the technique does not require a strong magnetic field or gradient because of the mixing of the two different frequencies. In this study, we acquired an 18 mm × 18 mm image of a string sample decorated with 100 nm diameter magnetic particles, using the p-FMMD technique. The results showed that it is feasible to use this novel MPI scanner for biological analysis and medical diagnostic purposes.