Association Between Individual Air Pollution (PM10, PM2.5) Exposure and Adverse Pregnancy Outcomes in Korea: A Multicenter Prospective Cohort, Air Pollution on Pregnancy Outcome (APPO) Study.

BACKGROUND: Prenatal exposure to ambient air pollution is linked to a higher risk of unfavorable pregnancy outcomes. However, the association between pregnancy complications and exposure to indoor air pollution remains unclear. The Air Pollution on Pregnancy Outcomes research is a hospital-based prospective cohort research created to look into the effects of aerodynamically exposed particulate matter (PM)10 and PM2.5 on pregnancy outcomes. METHODS: This prospective multicenter observational cohort study was conducted from January 2021 to June 2023. A total of 662 women with singleton pregnancies enrolled in this study. An AirguardK® air sensor was installed inside the homes of the participants to measure the individual PM10 and PM2.5 levels in the living environment. The time-activity patterns and PM10 and PM2.5, determined as concentrations from the time-weighted average model, were applied to determine the anticipated exposure levels to air pollution of each pregnant woman. The relationship between air pollution exposure and pregnancy outcomes was assessed using logistic and linear regression analyses. RESULTS: Exposure to elevated levels of PM10 throughout the first, second, and third trimesters as well as throughout pregnancy was strongly correlated with the risk of pregnancy problems according to multiple logistic regression models adjusted for variables. Except for in the third trimester of pregnancy, women exposed to high levels of PM2.5 had a high risk of pregnancy complications. During the second trimester and entire pregnancy, the risk of preterm birth (PTB) increased by 24% and 27%, respectively, for each 10 µg/m3 increase in PM10. Exposure to high PM10 levels during the second trimester increased the risk of gestational diabetes mellitus (GDM) by 30%. The risk of GDM increased by 15% for each 5 µg/m3 increase in PM2.5 during the second trimester and overall pregnancy, respectively. Exposure to high PM10 and PM2.5 during the first trimester of pregnancy increased the risk of delivering small for gestational age (SGA) infants by 96% and 26%, respectively. CONCLUSION: Exposure to high concentrations of PM10 and PM2.5 is strongly correlated with the risk of adverse pregnancy outcomes. Exposure to high levels of PM10 and PM2.5 during the second trimester and entire pregnancy, respectively, significantly increased the risk of PTB and GDM. Exposure to high levels of PM10 and PM2.5 during the first trimester of pregnancy considerably increased the risk of having SGA infants. Our findings highlight the need to measure individual particulate levels during pregnancy and the importance of managing air quality in residential environment.

Identification of Short-Chain Fatty Acids for Predicting Preterm Birth in Cervicovaginal Fluid Using Mass Spectrometry.

Preterm birth (PTB) refers to delivery before 37 weeks of gestation. Premature neonates exhibit higher neonatal morbidity and mortality rates than term neonates; therefore, predicting and preventing PTB are important. In this study, we investigated the potential of using short-chain fatty acid (SCFA) levels, specific vaginal microbiota-derived metabolites, as a biomarker in predicting PTB using gas chromatography/mass spectrometry. Cervicovaginal fluid (CVF) was collected from 89 pregnant women (29 cases of PTB vs. 60 controls) without evidence of other clinical infections, and SCFA levels were measured. Furthermore, the PTB group was divided into two subgroups based on birth timing after CVF sampling: delivery ≤ 2 days after sampling (n = 10) and ≥2 days after sampling (n = 19). The concentrations of propionic acid, isobutyric acid, butyric acid, valeric acid, hexanoic acid, and heptanoic acid were significantly higher in the PTB group than in the term birth (TB) group (p < 0.05). In particular, the concentrations of propionic acid, isobutyric acid, hexanoic acid, and heptanoic acid were continuously higher in the PTB group than in the TB group (p < 0.05). In the delivery ≤ 2 days after sampling group, the propionic acid, isobutyric acid, hexanoic acid, and heptanoic acid levels were significantly higher than those in the other groups (p < 0.05). This study demonstrated a significant association between specific SCFAs and PTB. We propose these SCFAs as potential biomarkers for the prediction of PTB.

Emerging role of vascular burden in AT(N) classification in individuals with Alzheimer's and concomitant cerebrovascular burdens.

OBJECTIVES: Alzheimer's disease (AD) is characterised by amyloid-beta accumulation (A), tau aggregation (T) and neurodegeneration (N). Vascular (V) burden has been found concomitantly with AD pathology and has synergistic effects on cognitive decline with AD biomarkers. We determined whether cognitive trajectories of AT(N) categories differed according to vascular (V) burden. METHODS: We prospectively recruited 205 participants and classified them into groups based on the AT(N) system using neuroimaging markers. Abnormal V markers were identified based on the presence of severe white matter hyperintensities. RESULTS: In A+ category, compared with the frequency of Alzheimer's pathological change category (A+T-), the frequency of AD category (A+T+) was significantly lower in V+ group (31.8%) than in V- group (64.4%) (p=0.004). Each AT(N) biomarker was predictive of cognitive decline in the V+ group as well as in the V- group (p<0.001). Additionally, the V+ group showed more severe cognitive trajectories than the V- group in the non-Alzheimer's pathological changes (A-T+, A-N+; p=0.002) and Alzheimer's pathological changes (p<0.001) categories. CONCLUSION: The distribution and longitudinal outcomes of AT(N) system differed according to vascular burdens, suggesting the importance of incorporating a V biomarker into the AT(N) system.

BMI trajectory and inflammatory effects on metabolic syndrome in adolescents.

BACKGROUND: Various life course factors can affect susceptibility to diseases during adolescence and adulthood, and those relationships are complex. However, few studies have assessed the potential mediating factors. Therefore, we assessed the mediating effects of factors related to growth and inflammation between perinatal factors and metabolic syndrome risk during adolescence. METHODS: The study was conducted on adolescents who participated in the follow-up in the Ewha Birth and Growth Cohort. We considered the ponderal index (PI) as a perinatal factor and the continuous metabolic syndrome score (cMetS) as the outcome and confirmed the mediating effects of body mass index (BMI) trajectory pattern in childhood and inflammation levels by using the PROCESS macro for SAS. RESULTS: Although the direct effect of BMI trajectory on the relationship between PI and cMetS was not significant (0.545), the indirect effect was significant (1.044). In addition, the indirect effect was statistically significant in the pathways mediating the BMI trajectory pattern and inflammation (ß = 1.456). CONCLUSIONS: The direct and indirect effects on the relationship between PI and cMetS suggest that childhood factors related to growth may be involved in disease susceptibility. Therefore, appropriate interventions for the management of obesity during the growth phase are necessary. IMPACT: Unlike other existing studies, this study assessed multiple mediating effects by considering the BMI trajectory pattern and inflammatory indexes as mediating factors between the ponderal index and the continuous metabolic syndrome score during adolescence. We found significant indirect effects of the BMI trajectory between PI and cMetS, and also significant indirect effects in the pathways mediating the BMI trajectory and hs-CRP. The significant indirect mediating effects support that childhood factors related to growth may be involved in disease susceptibility.

Rhodamine-Based Cyclic Hydroxamate as Fluorescent pH Probe for Imaging of Lysosomes.

Monitoring the microenvironment within specific cellular regions is crucial for a comprehensive understanding of life events. Fluorescent probes working in different ranges of pH regions have been developed for the local imaging of different pH environments. Especially, rhodamine-based fluorescent pH probes have been of great interest due to their ON/OFF fluorescence depending on the spirolactam ring's opening/closure. By introducing the N-alkyl-hydroxamic acid instead of the alkyl amines in the spirolactam of rhodamine, we were able to tune the pH range where the ring opening and closing of the spirolactam occurs. This six-membered cyclic hydroxamate spirolactam ring of rhodamine B proved to be highly fluorescent in acidic pH environments. In addition, we could monitor pH changes of lysosomes in live cells and zebrafish.

Cone-type multi-directional viewing-zone extension of a computer-generated hologram via a shuffle interconnection.

We propose the multi-directional viewing-zone extension of computer-generated holograms (CGHs) using a single flat-panel spatial light modulator (SLM) and a multi-directional shuffle interconnection. A design breaking the SLM plane into several sub-zone regions and creating extended viewing-zones through a multi-directional shuffle interconnection is presented with a proof-of-concept experiment generating a cone-like viewing zone subtended by sixteen sub-viewing-zones.

Ultra-wideband transmission filter based on guided-mode resonances in two terahertz metasurfaces.

This paper reports on a broadband transmission filter that employs the guided mode resonances pertaining to a terahertz metasurface composed of metallic gold disks with a quartz slab. Unlike structures involving conventional metasurfaces, two identical metasurfaces are placed on the upper and lower sides of a thick quartz slab. This structure can excite both even and odd guided mode resonances. The interaction of the two resonances at similar frequencies produces a broadband transmission peak. The sharp spectral feature of each resonance leads to the abrupt degradation of the transmission at the spectral edge, which can enable the development of the filter application. The proposed scheme can facilitate practical applications such as those of broadband filters at a terahertz frequency.

Longitudinal amyloid cognitive composite in preclinical Alzheimer's disease.

BACKGROUND AND PURPOSE: Previous studies have developed several cognitive composites in preclinical Alzheimer disease (AD). However, more sensitive measures to track cognitive changes and therapeutic efficacy in preclinical AD are needed considering the diverse sociocultural and linguistic backgrounds. This study developed a composite score that can sensitively detect the amyloid-ß (Aß)-related cognitive trajectory of preclinical AD using Korean data. METHODS: A total of 196 cognitively normal participants who underwent amyloid positron emission tomography were followed-up with neuropsychological assessments. We developed the Longitudinal Amyloid Cognitive Composite in Preclinical AD (LACPA) using the linear mixed-effects model (LMM) and z scores. The LMM was also used to investigate the longitudinal sensitivity of the LACPA and the association between time-varying brain atrophy and the LACPA. RESULTS: Considering the group-time interaction effects of each subtest, the Seoul Verbal Learning Test-Elderly version immediate recall/delayed recall/recognition, the Korean Trail Making Test B Time, and the Korean Mini-Mental State Examination were selected as components of the LACPA. The LACPA exhibited a significant group-time interaction effect between the Aß+ and Aß- groups (t = -3.288, p = 0.001). Associations between time-varying LACPA and brain atrophy were found in the bilateral medial temporal, right lateral parietal, and right lateral frontal regions, and hippocampal volume. CONCLUSIONS: The LACPA may contribute to reduction in time and financial burden when monitoring Aß-related cognitive decline and therapeutic efficacy of the disease-modifying agents specifically targeting Aß in secondary prevention trials.

Validity of the Morse Fall Scale and the Johns Hopkins Fall Risk Assessment Tool for fall risk assessment in an acute care setting.

AIMS AND OBJECTIVES: To evaluate the measured fall risk score that more accurately reflects the changeable conditions in acute care settings, and to efficiently evaluate the association between falls and fall risk score. BACKGROUND: The Morse Fall Scale (MFS) is a well-known easy-to-use tool, while the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) consists of items with high specificity. Evaluating suitable fall-risk assessment tools to measure these changeable conditions may contribute to preventing falls in acute care settings. DESIGN: Retrospective case-control study using the STROBE checklist. METHODS: In an acute care setting (708-bedded university hospital with a regional emergency medical centre), the non-fall group was adjusted to fall group using propensity score matching. According to the fall rate of 3-5%, non-fall groups for each tool were selected (1386 and 1947) from the before adjusted data, and the fall groups included 42 and 59. The applied covariates were individual characteristics that ordinarily changed such as age, gender, diagnostic department and hospitalisation period. The adjusted data were analysed using generalised estimating equations and mixed effect model. RESULTS: After adjustment, the fall group measured using the JHFRAT had a significantly higher difference between the initial and re-measured total score than the non-fall group. The JHFRAT, especially with the re-measured score, had a higher AUC value for predicting falls than the MFS. MFS's sensitivity was 85.7%, and specificity was 58.8% at 50 points; for JHFRAT, these were 67.8% and 80.2% at 14 points, respectively. These cut-off points were used to evaluate validity during tool development and are commonly used as reference scores. CONCLUSIONS: JHFRAT more accurately reflects acute changeable conditions related to fall risk measurements after admission. RELEVANCE TO CLINICAL PRACTICE: JHFRAT may be useful for effective fall prevention activities in acute care settings.

Two Clinical Cases of Feline Hemoplasmosis in Korea.

Feline hemotropic mycoplasmosis (hemoplasmosis) is an infection of the red blood cells caused by the Mycoplasma haemofelis (Mhf), Candidatus Mycoplasma haemominutum (CMhm), and Candidatus Mycoplasma turicensis (CMt). The existence of Mhf, CMhm, and CMt has been demonstrated in feral cats in Korea using molecular methods, but no clinical cases have yet been reported. This study reports 2 clinical cases of hemotropic mycoplasmosis caused by CMhm and CMt in 2 anemic cats. The first case was a client-owned intact female domestic shorthair cat that presented with fever, pale mucous membranes, and normocytic normochromic non-regenerative anemia. Prior to referral, an immunosuppressive prednisolone dose was administered at the local veterinary clinic for 1 month. The cat was diagnosed with high-grade alimentary lymphoma. Organisms were found on the surface of the red blood cells on blood smear examination. The second case was of a rescued cat that presented with dehydration and fever. The cat had normocytic normochromic non-regenerative anemia. Necropsy revealed concurrent feline infectious peritonitis. Polymerase chain reaction assay targeting 16S rRNA revealed CMhm infection in case 1 and dual infection of CMhm and CMt in case 2. Normocytic normochromic non-regenerative anemia was observed in both cats before and during the management of the systemic inflammation. This is the first clinical case report in Korea to demonstrate CMhm and CMt infections in symptomatic cats.

Elevated methylation of the vault RNA2-1 promoter in maternal blood is associated with preterm birth.

BACKGROUND: Preterm birth, defined as parturition before 37 completed weeks of gestation, is associated with an increased risk of neonatal complications and death, as well as poor health and disease later in life. Epigenetics could contribute to the mechanism underlying preterm birth. RESULTS: Genome-wide DNA methylation analysis of whole blood cells from 10 women (5 term and 5 preterm deliveries) was performed using an Illumina Infinium HumanMethylation450 BeadChips array. We identified 1,581 differentially methylated CpG sites in promoter regions between term and preterm birth. Although the differences were not significant after correcting for multiple tests, seven CpGs on the genomically imprinted vault RNA2-1 (VTRNA2-1; also known as non-coding RNA, nc886 or miR-886) showed the largest differences (range: 26-39 %). Pyrosequencing verification was performed with blood samples from pregnant women recruited additionally (39 term and 43 preterm deliveries). In total, 28 (34.1 %) samples showed hypomethylation of the VTRNA2-1 promoter (< 13 % methylation), while 54 (65.9 %) samples showed elevated methylation levels between 30 and 60 %. Elevated methylation of VTRNA2-1 promoter was associated with an increased risk of preterm birth after adjusting for maternal age, season of delivery, parity and white blood cell count. The mRNA expression of VTRNA2-1 was 0.51-fold lower in women with preterm deliveries (n = 20) compared with women with term deliveries (n = 20). CONCLUSIONS: VTRNA2-1 is a noncoding transcript to environmentally responsive epialleles. Our results suggest that elevated methylation of the VTRNA2-1 promoter may result in increased risk of PTB caused by the pro-inflammatory cytokines. Further studies are needed to confirm the association of VTRNA2-1 methylation with preterm birth in a large population, and to elucidate the underlying mechanism.

Factors Influencing Nursing Students' Immersive Virtual Reality Media Technology-Based Learning.

BACKGROUND/OBJECTIVES: This study aims to identify the effects of cognitive and emotional variables related to immersive virtual reality media technology on learning for nursing students. Methods/Statistical analysis: The subjects of this study were 121 nursing students from a university in area D. After experiential learning with virtual reality from 6-8 June 2019, data was collected through questionnaires. For virtual reality learning, VIVE's hTC VIVE ECO CE model was used. The collected data was analyzed using the IBM SPSS 26.0 program. Multiple Regression Analysis was used to analyze the factors influencing the subject's virtual reality learning effects. FINDINGS: The learning effects of the virtual reality medium had a statistically significant positive correlation with the virtual reality technology recognition, sensory immersion, realism, learning satisfaction, learning necessity, and continuous use intention (p < 0.001) scores. In personality traits, only Openness, Extraversion (p < 0.01), and Conscientiousness (p < 0.05) had a statistically significant positive correlation. As a result of regression analysis, the explanatory power of the learning effect of the virtual reality medium was 63.9% (F = 53.61, p < 0.001), with learning satisfaction, sensory immersion, continuous use intention, and Extraversion being significant influencing factors (p < 0.05). Improvements/Applications: This study is meaningful in the sense that it provided strategic implications for the teaching and learning method of virtual reality technology-based learning by considering the insights necessary to develop a learning program using virtual reality technology, according to the characteristics of virtual reality technology, and the learner's cognitive and psychological variables.

Senolytic Therapy for Cerebral Ischemia-Reperfusion Injury.

Ischemic stroke is one of the leading causes of death, and even timely treatment can result in severe disabilities. Reperfusion of the ischemic stroke region and restoration of the blood supply often lead to a series of cellular and biochemical consequences, including generation of reactive oxygen species (ROS), expression of inflammatory cytokines, inflammation, and cerebral cell damage, which is collectively called cerebral ischemia-reperfusion (IR) injury. Since ROS and inflammatory cytokines are involved in cerebral IR injury, injury could involve cellular senescence. Thus, we investigated whether senolytic therapy that eliminates senescent cells could be an effective treatment for cerebral IR injury. To determine whether IR induces neural cell senescence in vitro, astrocytes were subjected to oxygen-glucose deprivation/reoxygenation (OGD/R). OGD/R induced astrocyte senescence and senescent cells in OGD/R-injured astrocytes were effectively eliminated in vitro by ABT263, a senolytic agent. IR in rats with intraluminal middle cerebral artery occlusion induced cellular senescence in the ischemic region. The senescent cells in IR-injured rats were effectively eliminated by intravenous injections of ABT263. Importantly, ABT263 treatment significantly reduced the infarct volume and improved neurological function in behavioral tests. This study demonstrated, for the first time, that senolytic therapy has therapeutic potential for cerebral IR injury.

Endocrine-Disrupting Chemicals and Infectious Diseases: From Endocrine Disruption to Immunosuppression.

Endocrine-disrupting chemicals (EDCs) are hormonally active compounds in the environment that interfere with the body's endocrine system and consequently produce adverse health effects. Despite persistent public health concerns, EDCs remain important components of common consumer products, thus representing ubiquitous contaminants to humans. While scientific evidence confirmed their contribution to the severity of Influenza A virus (H1N1) in the animal model, their roles in susceptibility and clinical outcome of the coronavirus disease (COVID-19) cannot be underestimated. Since its emergence in late 2019, clinical reports on COVID-19 have confirmed that severe disease and death occur in persons aged ≥65 years and those with underlying comorbidities. Major comorbidities of COVID-19 include diabetes, obesity, cardiovascular disease, hypertension, cancer, and kidney and liver diseases. Meanwhile, long-term exposure to EDCs contributes significantly to the onset and progression of these comorbid diseases. Besides, EDCs play vital roles in the disruption of the body's immune system. Here, we review the recent literature on the roles of EDCs in comorbidities contributing to COVID-19 mortality, impacts of EDCs on the immune system, and recent articles linking EDCs to COVID-19 risks. We also recommend methodologies that could be adopted to comprehensively study the role of EDCs in COVID-19 risk.

Effects of KCNMB2 gene polymorphisms on ritodrine therapy outcomes in women with preterm labor.

OBJECTIVE: The present prospective follow-up study aimed to evaluate the effects of KCNMB2 gene polymorphisms on ritodrine efficacy and adverse drug events (ADEs) in patients with preterm labor. METHODS: A total of 163 preterm labor patients were included in this single-center study. Nine single nucleotide polymorphisms (SNPs) in the KCNMB2 gene (rs10936979, rs7624046, rs7429015, rs7625907, rs6443559, rs9839376, rs9637454, rs11918114, and rs1382045) were assessed. The primary endpoint was time to delivery, and the secondary endpoint was ritodrine-induced ADEs. RESULTS: Patients with variant homozygotes of two SNPs (rs7624046 and rs9839376), which were in linkage disequilibrium, showed 2.06 [95% confidence interval (CI), 1.14-3.73] and 2.68 (95% CI, 1.16-6.20) times the hazard of time to delivery compared to wild-type allele carriers, respectively. Among demographic characteristics, gestational age at start of drug therapy and modified Bishop score were significant factors for time to delivery. Regarding safety outcomes, patients with variant homozygotes of rs7625907 had fewer ADEs compared to those with other genotypes (odds ratio, 0.32; 95% CI, 0.13-0.83). CONCLUSION: This pharmacogenomic study suggests that ritodrine efficacy and ADEs are associated with KCNMB2 gene polymorphisms in patients with preterm labor.

Rhodococcus cavernicola sp. nov., isolated from a cave, and Rhodococcus degradans is a later heterosynonym of Rhodococcus qingshengii.

A Gram-reaction-positive, strictly aerobic, catalase-positive, oxidase-negative, non-motile actinobacterium, designated C1-24T, was isolated from a soil sample collected inside a natural cave. The organism exhibited a rod-coccus developmental cycle during its growth phase. Results of 16S rRNA gene-based phylogenetic analysis showed that the novel strain belonged to the genus Rhodococcus and formed a distinct sublineage at the base of the radiation including a Rhodococcus enclensis-Rhodococcus kroppenstedtii-Rhodococcus corynebacterioides-Rhodococcus trifoli cluster. In the results of phylogenomic analysis, the novel strain was loosely associated to Rhodococcus corynebacterioides. The closest relatives were Rhodococcus qingshengii (98.01 % 16S rRNA gene sequence similarity) and Rhodococcus degradans (98.01 %). The genome size was 5.66 Mbp and the DNA G+C content was 64.30 mol%. Whole-cell hydrolysates contained meso-diaminopimelic acid, arabinose and galactose as the diagnostic diamino acid and sugars. MK-8(H2) was the predominant menaquinone. The polar lipids were diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol, phosphatidylinositol, an unidentified glycolipid and three unidentified phospholipids. Mycolic acids were present. The major fatty acids were C16 : 0, C18 : 1 ω9c, C16 : 1 ω7c and/or C16 : 1 ω6c and 10-methyl C18 : 0. Digital DNA-DNA hybridization and average nucleotide identity values revealed that the novel strain should be assigned to a different species. Based on the combined data obtained here, strain C1-24T (=KACC 19964T=DSM 109484T) represents a new species of the genus Rhodococcus, for which Rhodococcus cavernicola sp. nov. is proposed. Also, it is proposed that R. degradans is a later heterosynonym of R. qingshengii based on analyses of 16S rRNA gene and whole-genome sequences.

Seongchinamella unica gen. nov., sp. nov., isolated from a tidal mudflat of beach, and transfer of Halioglobus sediminis to Seongchinamella sediminis comb. nov. and Halioglobus lutimaris to Pseudohalioglobus gen. nov. as Pseudohalioglobus lutimaris comb. nov.

A Gram-reaction-negative, motile by gliding, rod-shaped bacterium, designated strain GH4-78T, was isolated from the tidal mudflat of a beach in the Republic of Korea. Cells were aerobic, catalase-positive, oxidase-negative and produced cream-coloured colonies. Q-8 was the only isoprenoid quinone. The major fatty acids were summed feature 8 (C18 : 1 ω7c and/or C18 : 1 ω6c), summed feature 3 (C16 : 1 ω6c and/or C16 : 1 ω7c) and C16 : 0. The major polar lipids are phosphatidylethanolamine and phosphatidylglycerol. Results of phylogenetic analyses based on 16S rRNA gene sequences revealed that strain GH4-78T formed a distinct lineage with Halioglobus sediminis (98.2 % sequence similarity). The DNA G+C content was 59.9 mol%. The average nucleotide identity value with the closest relative was 82.90 %. On the basis of the results from phenotypic, chemotaxonomic, phylogenetic and phylogenomic analyses, strain GH4-78T (=KCTC 62383T=DSM 106349T) represents a novel species of a new genus in the family Halieaceae, for which the name Seongchinamella unica gen. nov., sp. nov. is proposed. Moreover, the transfers of Halioglobus sediminis Han et al. 2019 to Seongchinamella sediminis comb. nov. and Halioglobus lutimaris Shi et al. 2018 to Pseudohalioglobus gen. nov. as Pseudohalioglobus lutimaris comb. nov. are also proposed, with the emended description of the genus Halioglobus.

Marimonas lutisalis sp. nov., isolated from a tidal mudflat and emended description of the genus Marimonas.

A Gram-reaction-negative bacterial strain, designated GH1-19T, was isolated from a tidal mudflat sample collected in Gangwha Island, Republic of Korea. Cells of the novel micro-organism were strictly aerobic, non-sporulating, motile and rod-shaped. Growth occurred at 10-40 °C (optimum, 30 °C), pH 6-9 (pH 8) and in the presence of 1-9 % NaCl (3 %). Comparative analysis of complete or nearly complete 16S rRNA gene sequences exhibited that strain GH1-19T formed a distinct cluster between Marimonas arenosa CAU 1311T (97.42 % sequence similarity) and Aquicoccus porphyridii L1 8-17T (97.35 %). Similarity levels of 16S rRNA gene sequences between the novel strain and other members of the family Rhodobacteraceae were below 96.6 %. The isoprenoid quinone was Q-10. The major fatty acids were C18 : 1ω7c, C16 : 0, summed feature 3 (C16 : 0 ω7c and/or C16 : 0 ω6c) and C12 : 0 3-OH. The polar lipids consisted of diphosphatidylglycerol, phosphatidylcholine, phosphatidylethanolamine, phosphatidylglycerol, an unidentified aminolipid, an unidentified phospholipid and an unidentified lipid. The G+C content of the DNA was 63.2 mol% (draft genome). DNA-DNA relatedness value between the novel strain and the type strain of Marimonas arenosa was 12.7±9.0 %. On the basis of data from phenotypic, chemotaxonomic and DNA-DNA hybridization studies together with phylogenetic analyses, strain GH1-19T (=KCTC 62376T=DSM 106292T) represents a novel species of the genus Marimonas, for which the name Marimonas lutisalis sp. nov. is proposed, with the emended description of the genus Marimonas.

Population Pharmacokinetics of Sulindac and Genetic Polymorphisms of FMO3 and AOX1 in Women with Preterm Labor.

PURPOSE: This prospective study aimed to evaluate the effects of genetic polymorphisms in sulindac-related metabolizing enzyme genes including FMO3 and AOX1 on the population pharmacokinetics of sulindac in 58 pregnant women with preterm labor. METHODS: Plasma samples were collected at 1.5, 4, and 10 h after first oral administration of sulindac. Plasma concentrations of sulindac and its active metabolite (sulindac sulfide) were determined, and pharmacokinetic analysis was performed with NONMEM 7.3. RESULTS: The mean maternal and gestational ages at the time of dosing were 32.5 ± 4.4 (range, 20-41) years and 27.4 ± 4.4 (range, 16.4-33.4) weeks, respectively. In the population pharmacokinetic analysis, one depot compartment model of sulindac with absorption lag time best described the data. The metabolism of sulindac and sulindac sulfide was described using Michaelis-Menten kinetics. In stepwise modeling, gestational age impacted volume of distribution (Vc), and FMO3 rs2266782 was shown by the Michaelis constant to affect conversion of sulindac sulfide to sulindac (KM32); these were retained in the final model. CONCLUSIONS: Genetic polymorphisms of FMO3 and AOX1 could affect the pharmacokinetics of sulindac in women who undergo preterm labor. The results of this study could help clinicians develop individualized treatment plans for administering sulindac.

The Clinical Usefulness of Predictive Models for Preterm Birth with Potential Benefits: A KOrean Preterm collaboratE Network (KOPEN) Registry-Linked Data-Based Cohort Study.

Background: Preterm birth is strongly associated with increasing mortality, incidence of disability, intensity of neonatal care required, and consequent costs. We examined the clinical utility of the potential preterm birth risk factors from admitted pregnant women with symptomatic preterm labor and developed prediction models to obtain information for prolonging pregnancies. Methods: This retrospective study included pregnant women registered with the KOrean Preterm collaboratE Network (KOPEN) who had symptomatic preterm labor, between 16 and 34 gestational weeks, in a tertiary care center from March to November 2016. Demographics, obstetric and medical histories, and basic laboratory test results obtained at admission were evaluated. The preterm birth probability was assessed using a nomogram and decision tree according to birth gestational age: early preterm, before 32 weeks; late preterm, between 32 and 37 weeks; and term, after 37 weeks. Results: Of 879 registered pregnant women, 727 who gave birth at a designated institute were analyzed. The rates of early preterm, late preterm, and term births were 18.16%, 44.02%, and 37.83%, respectively. With the developed nomogram, the concordance index for early and late preterm births was 0.824 (95% CI: 0.785-0.864) and 0.717 (95% CI: 0.675-0.759) respectively. Preterm birth was significantly more likely among women with multiple pregnancy and had water leakage due to premature rupture of membrane. The prediction rate for preterm birth based on decision tree analysis was 86.9% for early preterm and 73.9% for late preterm; the most important nodes are watery leakage for early preterm birth and multiple pregnancy for late preterm birth. Conclusion: This study aims to develop an individual overall probability of preterm birth based on specific risk factors at critical gestational times of preterm birth using a range of clinical variables recorded at the initial hospital admission. Therefore, these models may be useful for clinicians and patients in clinical decision-making and for hospitalization or lifestyle coaching in an outpatient setting.