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All sourcesNASA NTRSDOE OSTI
DOE OSTI2018

Characteristics of Bay of Bengal Monsoon Depressions in the 21st Century

The controversy surrounding the observed trends in the frequency of South Asian Monsoon Depressions (MDs)1-4, the association of MDs with the summer season extremes5,6, and a moisture driven future precipitation response in Global Climate Models (GCMs)7,8 have elevated the importance of understanding climate change impacts on the characteristics of MDs. GCMs exhibit a significant relationship between the long-term mean occurrences of MDs and the strength of the background upper (lower) tropospheric meridional (zonal) winds and atmospheric moisture in the core genesis region of MDs. Likewise, the strength of the meridional tropospheric temperature gradient (MTG) in GCMs determines the trajectories of MDs over land. While monsoon dynamics progressively weakens in the future period, atmospheric moisture exhibits a strong increase, limiting the impact of changes in background dynamics on the frequency of MDs. Moreover, the weakening of the future MTG is many times weaker than its inherent underestimation in the GCMs. Hence the 21st century increase in radiative forcing does not significantly reduce the frequency of MDs or impact their trajectories over land in the GCMs. Although more wet extremes are expected to occur during the MD lifecycle, non-depression day extremes dominate the overall increase in extreme precipitation, which may render the monsoon extremes less predictable in the future.

Rastogi, Deeksha↗
DOE OSTI2016

Apoptosis in human myelodysplastic syndrome CD34+ cells is modulated by the upregulation of TLRs and histone H4 acetylation via a β-arrestin 1 dependent mechanism

Excessive apoptosis of hematopoietic precursors in the bone marrow underlies the ineffective hematopoiesis characteristic of myelodysplastic syndrome (MDS). Toll-like receptor (TLR) signaling is abnormally activated in MDS and may be involved in excessive programmed cell death in the pathogenesis of MDS. TLRs expression and global histone H3/H4 acetylation were analyzed in bone marrow (BM) CD34+ cells from 20 lower-risk and 20 higher-risk MDS patients and 10 healthy controls. Apoptosis of BM CD34+ cells was examined by flow cytometry, and its correlation to histone acetylation and the expression of TLR2 and β-arrestin1 (β-arr1), measured by enzyme-linkedimmunosorbent assay and qRT-PCR, was assessed. TLR1, TLR2 and TLR6 expression and H4 acetylation levels were higher in lower-risk MDS patients than in higher-risk MDS patients or controls, and TLR2 expression and H4 acetylation levels were positively correlated with an increased rate of apoptosis. Lower-risk MDS was associated with increased β-arr1 expression and histone acetyltransferase p300 activity. In in vitro-cultured primary normal and lower-risk MDS CD34+ cells, TLR2 activation-induced apoptosis was mediated by the upregulation of β-arr1 leading to the recruitment of p300 and increased histone H4 acetylation. The nuclear accumulation of βarr1 following TLR2 activation promote H4 acetylation at specific target gene promoters and may thus affect transcription of target genes in BM CD34+ cells. The mechanisms underlying the deregulation of TLR2 and increased apoptosis in MDS may involve the β-arr1 mediated recruitment of p300 leading to increased levels of histone H4 acetylation. - Highlights: • TLR2 is upregulated in lower-risk MDS patients. • TLR2 expression and H4 acetylation correlated with increased CD34+ cell apoptosis. • TLR2-induced apoptosis was mediated by β-arr1 upregulation in normal CD34+ cells. • β-arr1 mediated recruitment of p300 lead to increased histone H4 acetylation levels.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2021

Characteristics of macrophages from myelodysplastic syndrome microenvironment

Highlights: • MDS macrophages exhibited more M2-related characteristics. • Ferric chloride polarized MDS macrophages to exhibit more M1-related characteristics. • DFO partially reversed the M1-related characteristics induced by ferric chloride. Myelodysplastic syndrome (MDS) is a heterogeneous group of clonal hematopoietic neoplasms. The progression of malignancy is closely associated with immune regulation. Macrophages are indispensable tissue components and have been proposed to play a role in the pathophysiology of hematopoietic malignancies. However, the specific role of macrophages in the development of MDS remains unclear. Here, we investigated the characteristics and phenotypic evolution of macrophages from patients with MDS. Macrophages from patients with MDS expressed CD68, CD86 and CD163. Furthermore, MDS macrophages exhibited more M2-related characteristics. Moreover, a number of phenotype-associated genes in MDS macrophages exhibited diverse responses to iron overload or iron chelation upon stimulation by ferric chloride or deferoxamine (DFO, an iron chelator). Ferric chloride polarized MDS macrophages to exhibit more M1-related characteristics, a phenomenon that could be partially reversed by DFO. Therefore, this study reveals the characteristics and phenotypic evolution of MDS macrophages and broadens the knowledge of macrophage plasticity in hematopoietic malignancies.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2019

Formation of surface ionization waves in a plasma enhanced packed bed reactor for catalysis applications

Plasma enhanced packed bed reactors (PE-PBRs) intrinsically have complex geometries which makes it difficult to apply conventional scaling laws. For example, controlling the manner of discharge propagation between the micro-discharges (MDs) that occur between dielectrics in PE-PBRs and surface ionization waves (SIWs) that propagate along the dielectrics would aid in selectivity during plasma catalysis. An important parameter in that optimization is the pulse power format. In this work, we investigated the role of applied voltage amplitude and polarity on time resolved dynamics in an atmospheric pressure dielectric barrier discharge (DBD) operating in helium having surface topology resembling PE-PBRs using phase and space resolved optical emission spectroscopy (PROES). To enable systematic studies, the DBD uses an array of dielectric semi-spheres imaged through a top transparent electrode and imaged between the two electrodes from the side. The results were compared with 2-dimensional modeling. We identified three discharge mechanisms: filamentary micro-discharges (F-MDs) in the volume (the space between the surface of the dielectrics and the counter electrode), surface micro-discharges (S-MDs) between the dielectric semi-spheres near their contact points, and SIWs over the curved or flat dielectric surfaces. At the lowest voltages, only F-MDs are generated, once in each half cycle. At intermediate voltages, SIWs also appear which transform into S-MDs at the contact points. When voltage is further increased, several additional pulses are observed, which generate S-MDs at the contact points or a combination F-MDs and S-MDs. The voltage amplitude determines the frequency of these pulses. Modeling results show variations in plasma density and electron temperature for each of the three mechanisms which, in turn, impact production of reactive species.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
DOE OSTI2026

Multidimensional scaling informed by F -statistic: Visualizing grouped microbiome data with inference

Multidimensional scaling (MDS) is a widely used dimensionality reduction technique in microbial ecology data analysis that captures the multivariate structure of the data while preserving pairwise distances between samples. While improvements in MDS have enhanced the ability to reveal group-specific data patterns, these MDS-based methods require prior assumptions for inference, limiting their application in general microbiome analysis. Here, in this study, we introduce a new MDS-based ordination method, “F-informed MDS,” which configures the data distribution based on the F-statistic, the ratio of dispersion between groups sharing common and different characteristics. Using semisynthetic datasets, we demonstrate that the proposed method is robust to hyperparameter selection while maintaining statistical significance throughout the ordination process. Various quality metrics for evaluating dimensionality reduction confirm that F-informed MDS is comparable to state-of-the-art methods in preserving both local and global data structures. Its application to a diatom-associated bacterial community suggests the role of this new method in interpreting the community’s response to the host. Our approach offers a well-founded refinement of MDS that aligns with statistical test results, which can be beneficial for broader multidimensional data analyses in microbiology and ecology. This new visualization tool can be incorporated into standard microbiome data analyses.

Biological and medical sciences↗
DOE OSTI2015

Magnetic microparticle-based multimer detection system for the detection of prion oligomers in sheep

Transmissible spongiform encephalopathies (TSEs) are zoonotic fatal neurodegenerative diseases in animals and humans. TSEs are commonly known as bovine spongiform encephalopathy in cattle, scrapie in sheep and goats, chronic wasting disease in cervids, and Creutzfeldt–Jakob disease in humans. The putative transmissible agents are infectious prion proteins (PrPSc), which are formed by the conversion of the normal prion protein on the glycoprotein cell surface in the presence of other PrPSc. Reports of the transmission of TSEs through blood raised considerable concern about the safety of blood and blood products. To address this issue, many laboratories attempted to develop a sensitive and accurate blood diagnostic test to detect PrPSc. Previously, we reported that, compared to normal controls, the multimer detection system (MDS) was more efficient in detecting PrPSc in infected hamster brain homogenate, mouse plasma spiked with purified PrPSc from scrapie mouse brain, and scrapie-infected hamster plasmas. MDS differentiates prion multimers from the cellular monomer through the multimeric expression of epitopes on prion multimers, in contrast to the monomeric form. In this study, MDS detected PrPSc in plasma samples from scrapie-infected sheep expressing clinical symptoms, demonstrating 100% sensitivity and specificity in these samples. Plasma samples from asymptomatic lambs at the preclinical stage (8-month-old naturally infected offspring of scrapie-infected parents expressing a highly susceptible genotype) tested positive with 50% sensitivity and 100% specificity. In the first of two coded analyses using clinical scrapie-infected sheep and normal healthy samples, MDS successfully identified all but one of the clinical samples with 92% sensitivity and 100% specificity. Similar results were obtained in the second coded analysis using preclinical samples. MDS again successfully identified all but one of the samples with 87% sensitivity and 100% specificity. The false-negative sample was subjected to a protease pretreatment. In conclusion, MDS could accurately detect scrapie in plasma samples at both preclinical and clinical stages. From these studies, we conclude that MDS could be a promising tool for the early diagnosis of TSEs from blood samples.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2018

The orphan nuclear receptor EAR-2 (NR2F6) inhibits hematopoietic cell differentiation and induces myeloid dysplasia in vivo

Background: In patients with myelodysplastic syndrome (MDS), bone marrow cells have an increased predisposition to apoptosis, yet MDS cells outcompete normal bone marrow (BM)–suggesting that factors regulating growth potential may be important in MDS. We previously identified v-Erb A related-2 (EAR-2, NR2F6) as a gene involved in control of growth ability. Methods: Bone marrow obtained from C57BL/6 mice was transfected with a retrovirus containing EAR-2-IRES-GFP. Ex vivo transduced cells were flow sorted. In some experiments cells were cultured in vitro, in other experiments cells were injected into lethally irradiated recipients, along with non-transduced bone marrow cells. Short-hairpin RNA silencing EAR-2 was also introduced into bone marrow cells cultured ex vivo. Results: Here, we show that EAR-2 inhibits maturation of normal BM in vitro and in vivo and that EAR-2 transplant chimeras demonstrate key features of MDS. Competitive repopulation of lethally irradiated murine hosts with EAR2-transduced BM cells resulted in increased engraftment and increased colony formation in serial replating experiments. Recipients of EAR-2-transduced grafts had hypercellular BM, erythroid dysplasia, abnormal localization of immature precursors and increased blasts; secondary transplantation resulted in acute leukemia. Animals were cytopenic, having reduced numbers of erythrocytes, monocytes and granulocytes. Suspension culture confirmed that EAR-2 inhibits granulocytic and monocytic differentiation, while knockdown induced granulocytic differentiation. We observed a reduction in the number of BFU-E and CFU-GM colonies and the size of erythroid and myeloid colonies. Serial replating of transduced hematopoietic colonies revealed extended replating potential in EAR-2-overexpressing BM, while knockdown reduced re-plating ability. EAR-2 functions by recruitment of histone deacetylases, and inhibition of differentiation in 32D cells is dependent on the DNA binding domain. Conclusions: This data suggest that NR2F6 inhibits maturation of normal BM in vitro and in vivo and that the NR2F6 transplant chimera system demonstrates key features of MDS, and could provide a mouse model for MDS.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2015

Water contact angles on quartz surfaces under supercritical CO 2 sequestration conditions: Experimental and molecular dynamics simulation studies

The ambiguity of contact angle experimental measurements due to surface chemistry changes resulted from sample contamination and/or the degrees of reaction with supercritical CO 2 has resulted in great difficulties to precisely understand the wetting behavior of CO 2 under the geological carbon sequestration (GCS) conditions. Water contact angles on quartz surface under GCS conditions were investigated through the combined experimental and molecular dynamics simulation (MDS) methods. The experimental results show that water contact angles increases as ionic strength increases. The effects of pressure and temperature are very weak. The dependence of ionic strength, pressure and temperature is same for monovalent and divalent ions solutions. In the MDS, a hydroxylated quartz surface was used as the base point. A good agreement between the MDS and experimental results were obtained. Using the MDS method, a clean mineral surface with a desired surface chemistry can be constructed, which is difficult in experiments. So by comparing MDS and experimental results, the mechanisms of the reservoir wettability can be better understood. Further investigation can be made on quartz surface with different functional groups to better understand wettability alteration caused by contamination and/or CO 2 reaction.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2014

Evaluation of magnetic flux distribution from magnetic domains in [Co/Pd] nanowires by magnetic domain scope method using contact-scanning of tunneling magnetoresistive sensor

Current-driven magnetic domain wall motions in magnetic nanowires have attracted great interests for physical studies and engineering applications. The magnetic force microscope (MFM) is widely used for indirect verification of domain locations in nanowires, where relative magnetic force between the local domains and the MFM probe is used for detection. However, there is an occasional problem that the magnetic moments of MFM probe influenced and/or rotated the magnetic states in the low-moment nanowires. To solve this issue, the “magnetic domain scope for wide area with nano-order resolution (nano-MDS)” method has been proposed recently that could detect the magnetic flux distribution from the specimen directly by scanning of tunneling magnetoresistive field sensor. In this study, magnetic domain structure in nanowires was investigated by both MFM and nano-MDS, and the leakage magnetic flux density from the nanowires was measured quantitatively by nano-MDS. Specimen nanowires consisted from [Co (0.3)/Pd (1.2)]{sub 21}/Ru(3) films (units in nm) with perpendicular magnetic anisotropy were fabricated onto Si substrates by dual ion beam sputtering and e-beam lithography. The length and the width of the fabricated nanowires are 20 μm and 150 nm. We have succeeded to obtain not only the remanent domain images with the detection of up and down magnetizations as similar as those by MFM but also magnetic flux density distribution from nanowires directly by nano-MDS. The obtained value of maximum leakage magnetic flux by nano-MDS is in good agreement with that of coercivity by magneto-optical Kerr effect microscopy. By changing the protective diamond-like-carbon film thickness on tunneling magnetoresistive sensor, the three-dimensional spatial distribution of leakage magnetic flux could be evaluated.

75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND↗
DOE OSTI2014

Suites of dwarfs around Nearby giant galaxies

The Updated Nearby Galaxy Catalog (UNGC) contains the most comprehensive summary of distances, radial velocities, and luminosities for 800 galaxies located within 11 Mpc from us. The high density of observables in the UNGC makes this sample indispensable for checking results of N-body simulations of cosmic structures on a ∼1 Mpc scale. The environment of each galaxy in the UNGC was characterized by a tidal index Θ{sub 1}, depending on the separation and mass of the galaxy's main disturber (MD). We grouped UNGC galaxies with a common MD in suites, and ranked suite members according to their Θ{sub 1}. All suite members with positive Θ{sub 1} are assumed to be physical companions of the MD. About 58% of the sample are members of physical groups. The distribution of suites by the number of members, n, follows a relation N(n) ∼ n {sup –2}. The 20 most populated suites contain 468 galaxies, i.e., 59% of the UNGC sample. The fraction of MDs among the brightest galaxies is almost 100% and drops to 50% at M{sub B} = –18{sup m}. We discuss various properties of MDs, as well as galaxies belonging to their suites. The suite abundance practically does not depend on the morphological type, linear diameter, or hydrogen mass of the MD, the tightest correlation being with the MD dynamical mass. Dwarf galaxies around MDs exhibit well-known segregation effects: the population of the outskirts has later morphological types, richer H I contents, and higher rates of star formation activity. Nevertheless, there are some intriguing cases where dwarf spheroidal galaxies occur at the far periphery of the suites, as well as some late-type dwarfs residing close to MDs. Comparing simulation results with galaxy groups, most studies assume the Local Group is fairly typical. However, we recognize that the nearby groups significantly differ from each other and there is considerable variation in their properties. The suites of companions around the Milky Way and M31, consisting of the Local Group, do not quite seem to be a typical nearby group. The multiplicity of nearby groups of the number of their physical members can be described by the Hirsh-like index h{sub g} = 9, indicating that the Local Volume contains nine groups with populations exceeding nine companions to their MDs.

79 ASTRONOMY AND ASTROPHYSICS↗
DOE OSTI2021

Improving Medication Regimen Recommendation for Parkinson’s Disease Using Sensor Technology

Parkinson’s disease medication treatment planning is generally based on subjective data obtained through clinical, physician-patient interactions. The Personal KinetiGraph™ (PKG) and similar wearable sensors have shown promise in enabling objective, continuous remote health monitoring for Parkinson’s patients. In this proof-of-concept study, we propose to use objective sensor data from the PKG and apply machine learning to cluster patients based on levodopa regimens and response. The resulting clusters are then used to enhance treatment planning by providing improved initial treatment estimates to supplement a physician’s initial assessment. We apply k-means clustering to a dataset of within-subject Parkinson’s medication changes—clinically assessed by the MDS-Unified Parkinson’s Disease Rating Scale-III (MDS-UPDRS-III) and the PKG sensor for movement staging. A random forest classification model was then used to predict patients’ cluster allocation based on their respective demographic information, MDS-UPDRS-III scores, and PKG time-series data. Clinically relevant clusters were partitioned by levodopa dose, medication administration frequency, and total levodopa equivalent daily dose—with the PKG providing similar symptomatic assessments to physician MDS-UPDRS-III scores. A random forest classifier trained on demographic information, MDS-UPDRS-III scores, and PKG time-series data was able to accurately classify subjects of the two most demographically similar clusters with an accuracy of 86.9%, an F1 score of 90.7%, and an AUC of 0.871. A model that relied solely on demographic information and PKG time-series data provided the next best performance with an accuracy of 83.8%, an F1 score of 88.5%, and an AUC of 0.831, hence further enabling fully remote assessments. These computational methods demonstrate the feasibility of using sensor-based data to cluster patients based on their medication responses with further potential to assist with medication recommendations.

59 BASIC BIOLOGICAL SCIENCES↗