Asymmetrical Vortex over Slender Body A Computational Approach

Computational investigations were carried out on an ogive-cylinder configuration having a slenderness ratio of 7.5. The geometry of the nose tip was generated based on the physical geometry of the nose tip observed under a scanning electron microscope. Time-dependent simulations were performed on the slender body at a diameter Reynolds number of 3.0×104. Results indicated that the onset of vortex asymmetry was mainly due to the micro-tip imperfection existing at the tip. It was also observed that the variation in the roll angle of the model affected the flow physics largely which has been experimentally observed by several researchers in the past. The computed results were in better agreement with the referenced experimental data.

Optimized LMS algorithm for system identification and noise cancellation

Optimization by definition is the action of making most effective or the best use of a resource or situation and that is required almost in every field of engineering. In this work, the optimization of Least Mean square (LMS) algorithm is carried out with the help of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). Efforts have been made to find out the advantages and disadvantages of combining gradient based (LMS) algorithm with Swarm Intelligence SI (ACO, PSO). This optimization of LMS algorithm will help us in further extending the uses of adaptive filtering to the system having multi-model error surface that is still a gray area of adaptive filtering. Because the available version of LMS algorithm that plays an important role in adaptive filtering is a gradient based algorithm, that get stuck at the local minima of system with multi-model error surface considering it global minima, resulting in an non-optimized convergence. By virtue of the proposed method we have got a profound solution for the problem associated with system with multimodal error surface. The results depict significant improvements in the performance and displayed fast convergence rate, rather stucking at local minima. Both the SI techniques displayed their own advantage and can be separately combined with LMS algorithm for adaptive filtering. This optimization of LMS algorithm will further help to resolve serious interference and noise issues and holds a very important application in the field of biomedical science.

Complete genome sequence and genetic organization of a Garlic virus D infecting garlic (Allium sativum) from northern India

The present paper describes first full genome sequence of the Garlic virus D (GarV-D) from northern India with a genome size of 8425 bp long ssRNA. The infected leaves and bulbs of garlic variety Yamuna Safed (G-282) plants suspected for GarV-D infection were collected with the aim to identify contagion virus during March, 2018. The total RNA was extracted from the pooled garlic plants using TRIzol reagent and sequenced using an Illumina HiSeq 2000 platform. BLASTn search in the NCBI database identified contagion as GarV-D (MK518067). It shared 83.63-85.83% nucleotide sequence identities with other (GarV-D) isolates from Argentina (KF550407, KF555653, KR819505) and 83.15% with isolates from China (MF795136, MF363012). Keywords: Allium sativum; Allexivirus; Garlic virus D; India.

Alginate-gum acacia based sponges as potential wound dressings for exuding and bleeding wounds

The improper management of wound exudates can expose the wound to bacterial invasion, skin maceration etc. thereby resulting in prolonged wound healing. Biopolymers are characterized by hydrophilic functional groups which when employed for the development of wound dressings promote the wound dressings capability to absorb a high amount of wound exudates. Alginate-gum acacia sponges were prepared from a combination of biopolymers such as sodium alginate and gum acacia in varying amounts with carbopol via crosslinking with 1 and 2% CaCl₂. The prepared sponges were loaded with a combination of ampicillin and norfloxacin. In vitro antibacterial analysis revealed that the antibacterial activity of the loaded antibiotics was retained and the sponges were effective against gram-positive and gram-negative bacteria. The sponges displayed rapid and high absorption capability in the range of 1022-2419% at pH 5.5 simulating wound exudates, and 2268-5042% at pH 7.4 simulating blood within a period of 1-3 h. Furthermore, the whole blood clotting studies further revealed low absorbance values when compared to the control revealing the good clotting capability of the sponges. The unique features of the sponges revealed their potential application for the management of infected, high exuding and bleeding wounds.

Extraction of microplastics from commonly used sea salts in India and their toxicological evaluation

Microplastics (MPs) are one of the marine debris, accumulated in the ocean as a result of the successive breakdown of a large piece of plastics over several years. MPs are about less than 5 mM, have a detrimental impact on marine organisms/products (seafood/sea salts) and therefore they are considered as a global environmental pollutant. The occurrence and impact of MPs in commercial sea salts that are consumed by humans are not well studied so far. In the present study, we attempted to characterize and evaluate the in vitro toxicity of isolated MPs. Here, we have used ten brands of commercial sea salts of different origins for the identification and characterization of MPs. The average abundance of MPs in all commercial brands is < 700 MP/kg and the particle size range between 5.2 mM and 3.8 μM. The most common types of MPs were identified as fragments, fibers, and pellets. By Fourier-Transform infrared spectroscopy (FT-IR), it was found that the MPs in abundance were made of cellophane (CP), polystyrene (PR), polyamide (PA) and polyarylether (PAR). Further, in vitro toxicity assessment revealed that HEK-293 cells get detached upon treatment with MPs (MIC-75 μg mL^-1) Consequently, the AO/EB dual staining confirmed that the induction and rate of apoptosis were comparatively higher in microplastic treated HEK-293 cells. Taken together, the MPs identified are the origin of anthropogenic derivatives and they exert a lethal effect on human cells, which might be associated with health risk complications in human beings.

Practical consensus recommendations regarding the management of hormone receptor positive early breast cancer in elderly women

Breast cancer is a leading cause of death among women, and its incidence increases with age. Currently the treatment of breast cancer in older patients is almost identical to their younger counterparts. This expert group used data from published literature, practical experience and opinion of a large group of academic oncologists to arrive at these practical consensus recommendations for the benefit of community oncologists regarding the management of early breast cancer specifically in elderly women.

A Monte Carlo method based QSPR model for prediction of reaction rate constants of hydrated electrons with organic contaminants

The Monte Carlo algorithm was applied to formulate a robust quantitative structure-property relationship (QSPR) model to compute the reactions rate constants of hydrated electron values for a data set of 309 water contaminants containing 125 aliphatic and 184 phenyl-based chemicals. The QSPR models were computed with the hybrid optimal descriptors which were procured by combining the SMILES and hydrogen-suppressed molecular graph for both classes of compounds. Approximately 75% of the total experimental data set was randomly divided into training and invisible training sets, while approximately 25% was divided into calibration and validation sets. The authenticity and robustness of the developed QSPR models were also judged by the Index of Ideality of Correlation. In QSPR modelling of aliphatic compounds, the numerical values of r T r a i n i n g 2 , r V a l i d a t i o n 2 , Q T r a i n i n g 2 and Q V a l i d a t i o n 2 were in the range of 0.852-0.905, 0.815-0.894, 0.839-0.897 and 0.737-0.867, respectively. Whereas, in the QSPR modelling of phenyl-based compounds, the numerical values of r T r a i n i n g 2 , r V a l i d a t i o n 2 , Q T r a i n i n g 2 and Q V a l i d a t i o n 2 were in the range of 0.867-0.896, 0.852-0.865, 0.816-0.850 and 0.760-0.762, respectively. The structural attributes, which are promoters of l o g K e a q - increase/decrease are also extracted from the SMILES notation for mechanistic interpretation. These QSPR models can also be applied to compute the reaction rate constants of organic contaminants.

Impact of Maternal HbA1c Levels ≤6% and Race in Nondiabetic Pregnancies on Birthweight and Early Neonatal Hypoglycemia

OBJECTIVE

To evaluate whether pregnancy glycated hemoglobin (HbA1c) levels of ≤6% and maternal race impacts neonatal hypoglycemia and birthweight, and whether diabetes and beta blocker use during pregnancy additively impacts neonatal outcomes.

STUDY DESIGN

Retrospective chart review of 4769 infants born at ≥34 weeks; 21 482 glucose measurements were assessed. Predefined groups were infants born to mothers without documented pregnancy conditions (group N), prenatal exposure of beta blockers (group B), diabetes (group D), or both (group DB).

RESULTS

In group N, both in Caucasian (Caucasian, n = 1756; β = 2.6, P < .001) and African American (n = 1872; β = 2.2, P = .002) race, there was a direct relationship between pregnancy HbA1c levels and birthweight. HbA1c (aOR 1.8; 95% CI [1.3-2.5]) levels, maternal race, prematurity, cesarean delivery, and birth weight predicted hypoglycemia. Each 0.1% increase in HbA1c levels between 4.8 and 6 increased the odds of neonatal hypoglycemia by 6.4% in African American (β 0.62, SE 0.22, P = .01) and by 12.0% in Caucasian (β 1.13, SE 0.23 P < .001) population. The odds of neonatal hypoglycemia were 1.7 (group B), 2.1 (group D), and 3.1 (group DB) times higher compared with group N.

CONCLUSIONS

Pregnancy HbA1c levels between 4.8% and 6.0% considered acceptable during pregnancy impacts neonatal hypoglycemia and birthweight especially in Caucasian race. A third trimester HbA1c >5.2 is a potential risk factor for neonatal hypoglycemia, especially in preterm infants. Although we report new findings on the relationship between maternal HbA1c levels and neonatal outcomes, a prospective study is required to validate our findings and determine "optimal" HbA1C levels during pregnancy.

Terbinafine resistance in dermatophytes: Time to revisit alternate antifungal therapy

Resistant superficial dermatophytic infections of the skin and its appendages have emerged as a major health problem in India. Mutations in Squalene epoxidase gene have led to increasing incidence of resistance to terbinafine in dermatophytic isolates. We examined six patients with recalcitrant dermatophytosis attending Dermatology OPD at a tertiary care hospital and demonstrated terbinafine resistance by molecular method. Immediate hyperitivity (IH) reaction to Trichophytin antigen was highlighted in these patients. The patients were treated with alternate antifungals after demonstration of resistance to terbinafine based on the antifungal susceptibility testing (AFST). On follow up the patients responded well to the substitute but the duration of therapy had to be prolonged beyond six weeks.

Primary cardiac myxofibrosarcoma with osteoid differentiation mimicking a left atrial myxoma: A rare entity

Cardiac myxofibrosarcoma (MFS) is an uncommon entity. It is among the most challenging conditions to diagnose due to its rarity, high variability, and non-specific findings. These tumors often simulate left atrial myxoma or mitral stenosis at clinical presentation. Although, the definitive diagnosis of cardiac tumors depends on histopathological examination, various imaging techniques are also useful to study tumor characteristics to plan an appropriate treatment strategy. Here we highlight a case of primary cardiac MFS of left atrium (LA) showing areas of transition to undifferentiated pleomorphic sarcoma (UPS) with bone or osteoid formation, which is extremely rare and not well described. <Learning objective: Primary cardiac myxofibrosarcoma (MFS) is a rare and aggressive cardiac tumor. It is often confused with benign myxoma, leading to a delay in initiation of treatment. This delay can often lead to poor clinical outcomes. Our study will guide clinicians in early diagnosis, treatment, and counseling of patients with this rare entity. Echocardiography, together with magnetic resonance imaging, histology, and immunohistochemistry are essential in the diagnosis of MFS.>.

Fluctuation-induced current from freestanding graphene

At room temperature, micron-sized sheets of freestanding graphene are in constant motion, even in the presence of an applied bias voltage. We quantify the out-of-plane movement by collecting the displacement current using a nearby small-area metal electrode and present an Ito-Langevin model for the motion coupled to a circuit containing diodes. Numerical simulations show that the system reaches thermal equilibrium and the average rates of heat and work provided by stochastic thermodynamics tend quickly to zero. However, there is power dissipated by the load resistor, and its time average is exactly equal to the power supplied by the thermal bath. The exact power formula is similar to Nyquist's noise power formula, except that the rate of change of diode resistance significantly boosts the output power, and the movement of the graphene shifts the power spectrum to lower frequencies. We have calculated the equilibrium average of the power by asymptotic and numerical methods. Excellent agreement is found between experiment and theory.

GW190521: A Binary Black Hole Merger with a Total Mass of 150 M_{⊙}

On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitational-wave signal, GW190521, with a three-detector network signal-to-noise ratio of 14.7, and an estimated false-alarm rate of 1 in 4900 yr using a search sensitive to generic transients. If GW190521 is from a quasicircular binary inspiral, then the detected signal is consistent with the merger of two black holes with masses of 85_{-14}^{+21}  M_{⊙} and 66_{-18}^{+17}  M_{⊙} (90% credible intervals). We infer that the primary black hole mass lies within the gap produced by (pulsational) pair-instability supernova processes, with only a 0.32% probability of being below 65  M_{⊙}. We calculate the mass of the remnant to be 142_{-16}^{+28}  M_{⊙}, which can be considered an intermediate mass black hole (IMBH). The luminosity distance of the source is 5.3_{-2.6}^{+2.4}  Gpc, corresponding to a redshift of 0.82_{-0.34}^{+0.28}. The inferred rate of mergers similar to GW190521 is 0.13_{-0.11}^{+0.30}  Gpc^{-3} yr^{-1}.

Expression of p27 and p16 and their clinical significance in gastric cancer

BACKGROUND

Deregulated expression of cell cycle regulators p27 and p16 is associated with cancer progression. p27^kip1 and p16^INKa are a cyclin dependent kinase inhibitor whose major target is the cyclinE/CDK2 and cyclinD/CDK4/6 complex, respectively, that governs cell cycle transition from late G1 to S phase.

METHODS

We recruited biopsies of a total of 84 subjects including 72 primary tumor biopsies from histopathologically proven gastric carcinoma, 8 adjacent controls and 12 independent controls. We used gastric cancer cell line, AGS, for validation of our data. Expression profiling at transcript level was done by semi-quantitative RT-PCR and at proteome level by immunohistochemistry and immunofluorescence. Receiver operator characteristics analysis was done for determining the diagnostic utility of p27 and p16 with respect to the sensitivity and specificity.

RESULTS

We demonstrate that p27 and p16 are frequently over expressed in early stages of gastric carcinoma. Our semi-quantitative data show a significant upregulation of p27 (Mean ± SEM, 0.4771 ± 0.0895; p = 0.0001) and p16 (Mean ± SEM, 0.4676 ± 0.04305; p = 0.0001) at mRNA level. Concordant to semi-quantitative data, immunohistochemistry data also showed a significant upregulation of p27 (Mean ± SEM, 196.4 ± 10.84; p < 0.0001) and p16 (Mean ± SEM, 100.4 ± 23.71; p < 0.0001) at protein level.

CONCLUSIONS

The present study showed that the significant upregulation of p27 and p16 were associated with early events in gastric carcinogenesis. Our data suggests that clinical correlation of these differentially expressed genes may be useful as diagnostic biomarkers for early detection of gastric carcinoma and promising therapeutics target for GC patients.

In silico enhancement of azo dye adsorption affinity for cellulose fibre through mechanistic interpretation under guidance of QSPR models using Monte Carlo method with index of ideality correlation

Azo dyes are a group of chemical moieties joined by azo (-N=N-) group with potential usefulness in different industrial applications. But these dyes are not devoid of hazardous consequence because of poor affinity for the fibre and discharge into the water stream. The chemical aspects of 72 azo dyes towards cellulose fibre in terms of their affinity by QSPR have been explored in the present work. We have employed two approaches, namely balance of correlation without IIC (TF₁) and balance of correlation with IIC (TF₂), to generate 16 QSAR models from 8 splits. The determination coefficient of calibration and validation set was found higher when the QSPR models were developed using the index of ideality correlation (IIC) parameter (TF₂). The model developed with TF₂ for split 3 was considered as a prominent model because the determination coefficient of the validation set was maximum (r ² = 0.9468). The applicability domain (AD) was also analysed based on 'statistical defect', d(A) for a SMILES attribute. The mechanistic interpretation was done by identifying the SMILES attributes responsible for the promoter of endpoint increase and promoter of endpoint decrease. These SMILES attributes were applied to design 15 new dyes with higher affinity for cellulose fibre.

Nanotechnology and its challenges in the food sector: a review

Antibacterial activity of nanoparticles has received significant attention worldwide because of their great physical and chemical stability, excellent magnetic properties, and large lattice constant values. These properties are predominate in the food science for enhancing the overall quality, shelf life, taste, flavor, process-ability, etc., of the food. Nanoparticles exhibit attractive antibacterial activity due to their increased specific surface area leading to enhanced surface reactivity. When nanoparticles are suspended in the biological culture, they encounter various biological interfaces, resulting from the presence of cellular moieties like DNA, proteins, lipids, polysaccharides, etc., which helps antibacterial properties in many ways. This paper reviews different methods used for the synthesis of nanoparticles but is specially focusing on the green synthesis methods owing to its non-toxic nature towards the environment. This review highlights their antibacterial application mainly in the food sector in the form of food-nanosensors, food-packaging, and food-additives. The possible mechanism of nanoparticles for their antibacterial behavior underlying the interaction of nano-particles with bacteria, (i) excessive ROS generation including hydrogen peroxide (H₂O₂), OH^- (hydroxyl radicals), and O^- ₂ ² (peroxide); and (ii) precipitation of nano-particles on the bacterial exterior; which, disrupts the cellular activities, resulting in membranes disturbance. All these phenomena results in the inhibition of bacterial growth. Along with this, their current application and future perspectives in the food sector are also discussed. Nanoparticles help in destroying not only pathogens but also deadly fungi and viruses. Most importantly it is required to focus more on the crop processing and its containment to stop the post-harvesting loss. So, nanoparticles can act as a smart weapon towards the sustainable move.

Assessing Contact, Coverage, and Quality of continuum of care in Uttar Pradesh, India

Background

Given the high neonatal mortality in LMIC, strategies suggest a continuum of care (COC) as an effective framework to ensure timely and appropriate service provision throughout the MNCH continuum. However, the measurement approaches traditionally focus on assessing continuum of care from the lenses of time-based coverage and missing out on the quality of coverage and service delivery. This paper aims to assess the continuum of care based on these three parameters and the factors affecting its achievement.

Methods

Multistage sampling design identified live births and stillbirths in the last calendar year (March 2018-February 2019) across the 50 districts of Uttar Pradesh(n = 16646).COC was assessed on three measurements 1) Contact: Any contact with the health system across the continuum, 2)Coverage: Adequate contacts of the health system through outreach services and clinical care, and 3)Quality: receiving adequate services along with these contacts. Further, a multilevel regression model was used to estimate the factors associated with the continuum of care.

Results

64% (60.04-67.65) of the women and child received health system contact across the continuum while only 2.1% (1.57-2.78) and 2.8% (2.33-3.44) women and children achieved coverage and quality based COC, respectively. Achievement of COC coverage and COC quality is highly affected by the service delivery platform, with women at outreach platform being more likely to achieve adequate coverage while women at facilities are more likely to achieve quality services across ANC, delivery, and PNC.

Conclusions

Achievement of both coverage and quality based COC remains low in Uttar Pradesh, India. Even those who achieve contact(s) failed to receive quality services along with these contacts with health systems. Efforts should be focused on building quality service at the outreach and non-outreach platforms across the continuum of care for reducing the risk of neonatal mortality.

Key messages

Owing to the lack of an integrated approach for service delivery across outreach, clinical care and community care, continuum of care remains broken for most of the mothers and children. For targeting coverage and quality of COC, focus should be on improving the quality of service provision across the outreach platforms which are already in reach of the women.

AB0050 EXTENDED POLYDIMENSIONAL IMMUNOME CHARACTERISATION (EPIC) PLATFORM AS A TOOL FOR TRANSLATIONAL RESEARCH

Background:

We created a high dimensionality healthy human Immunome atlas by interrogating the peripheral blood mononuclear cells (PBMC) of >200 healthy subjects (cord blood to adult) with 63 unique mechanistic and phenotypic markers per cell by mass cytometry (CyTOF). This database is built with an open source, web-based bioinformatics toolkit, enabling its mining and uploading of datasets for comparison with the EPIC healthy database.

Objectives:

Here, we demonstrate the platform’s ability to identify the immunological differences of mechanistically important cell subsets in the uploaded data in comparison with EPIC.

Methods:

CyTOF data from 37 healthy elderly (>60 years old) was uploaded onto the EPIC Discovery tool where down-sampling, normalising and FlowSOM (Flow analysis with Self-Organising Maps) clustering were done with the EPIC database for comparison. Online visualisation outputs include cluster frequency boxplots, correspondence analysis (CA) plot and markers expression heat-map. The CA 2-dimensional plot depicts the global differences in immune cells composition between subjects with proximity between points (subjects) denoting similarity. Kruskal-Wallis test was done to identify age groups differences.

Results:

Increasing distances on the CA plot with age were observed with the elderly being farthest from the new-borns. Notably, we observed significant changes in naive CD4+IL8+T cells (p<1×10-20), memory CD4+IL17A+T cells (p<1×10-20) and type 2 innate lymphoid cells (ILC2) (Lin-CD7+CD25+CD127+CD161+, p<1×10-17) with increasing age. The naive CD4+IL8+T cells (median: 0.68%, interquartile range: 0.415 to 1.055% of CD45+ PBMC) and ILC2 (0.09%, 0.065 to 0.12%) were lowest and memory IL17A+T cells (0.58%, 0.41 to 0.905%) highest in the elderly. Significantly, the memory IL17A+T cells and ILC2 have been implicated in the pathogenesis of auto-immune conditions1,2.

Conclusion:

With EPIC, we have created an online tool enabling data uploading for comparison to a healthy database, allowing the holistic characterisation of immunological changes in different clinical scenarios. Using it, we were able to identify mechanistically important differences in immune cells composition in a distinct clinical cohort (elderly) compared to the younger ages. Translationally, the EPIC platform can be utilised similarly to catalyse the discovery process in auto-immune diseases interrogated with the EPIC antibody panels.

References:

[1]Fasching P, Stradner M, Graninger W, Dejaco C, Fessler J. Therapeutic Potential of Targeting the Th17/Treg Axis in Autoimmune Disorders. Molecules. 2017 Jan 14;22(1). pii: E134.

[2]Klose CS, Artis D. Innate lymphoid cells as regulators of immunity, inflammation and tissue homeostasis. Nat Immunol. 2016 Jun 21; 17(7): 765-74.

Disclosure of Interests:

None declared

THU0237 UNCOVERING DIFFERENCES BETWEEN THE SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) AND HEALTHY IMMUNOMES USING MULTI-PARAMETRIC INTERROGATION

Background:

Systemic lupus erythematosus (SLE) is a complex, systemic autoimmune disease that interferes with the balance between regulation and immunity, resulting in immune system dysfunction. Disease course is unpredictable due to alternating remissions and flares1.

Disease activity and treatment response are measured with composite scores such as the SLE Disease Activity Index (SLEDAI)2. However, disease heterogeneity can impede reliable patient assessments. Mechanistic insights into SLE are required for better assessment.

Current studies are mainly descriptive, and a complex disease like SLE is best interrogated with multi-parametric, holistic approaches such as mass cytometry (CyTOF).

Objectives:

(1)To characterise immune signatures of newly diagnosed SLE patients and in the process:

a.Study the roles of B and T cells in SLE

b.Gain a holistic understanding of the adaptive immune response

(2)To compare immunological profiles of newly diagnosed SLE patients with age-matched healthy controls

We hypothesise that significant differences exist between immunomes of newly diagnosed SLE and healthy subjects.

Methods:

Peripheral blood mononuclear cells (PBMCs) of 5 SLE subjects (median age 125 months) were tested with CyTOF. Data was uploaded to an online analytical platform, the Extended Polydimensional Immunome Characterization (EPIC) discovery tool, for comparison with 51 age-matched controls in its database.

Subsequently, normalization and FlowSOM (Flow cytometry analysis by Self-Organising Maps) clustering to 50 nodes were performed with 37 functionally and phenotypically important immune markers. The Mann-Whitney U test identified significantly different cluster frequencies.

Results:

Correspondence analysis comparing global differences in cluster frequencies showed segregation of SLE subjects away from healthy controls. Multiple significant differences were identified (p < 0.05). Notably, a memory CD4+CD152+PD1+T cell subset (CD4+CD152+PD1+CD45RO+CD25-FoxP3-) was enriched in SLE (median: 2.17%, interquartile range: 1.66 to 7.74% of CD45+ PBMCs) versus control (1.34%, 1.06 - 1.58%; p = 0.00267). Expression of these known checkpoint inhibitors (PD1, CD152) could be important for SLE immunopathogenesis.

Secondly, the innate lymphoid cell 2 (ILC2) subset (Lin-CD7+CD25+CD127+GATA3+) was markedly depressed in SLE (0.11%, 0.1 - 0.255%) versus control (0.41%, 0.25 - 0.55%; p = 0.0293). ILC2s protect epithelial integrity; a reduction suggests impaired protective roles in SLE.

Supervised cell frequencies from bivariate analysis correlate strongly with unsupervised cell frequencies, validating these results (Pearson’s correlation coefficient r = 0.9926, p < 0.001 (CD4+CD152+PD1+CD45RO+CD25-FoxP3-); r = 0.8863, p < 0.05 (ILC2)).

Conclusion:

With a multi-parametric, unbiased approach comparing SLE subjects to a large database of age-matched healthy controls, we identified two immune subsets of potential immunopathogenic importance. With this information, the CyTOF panel can be redesigned to probe more specifically into the SLE immunome, facilitating disease-specific interrogation.

References:

[1]Tsokos,G.C. (2011). Systemic lupus erythematosus.N Engl J Med365(22), 2110-2121.

[2]Bombardier, C., Gladman, D.D., Urowitz, M.B., Caron, D., Chang, C.H. (1992). Derivation of the SLEDAI. A disease activity index for lupus patients. The Committee on Prognosis Studies in SLE.Arthritis Rheum35(6), 630-640.

Disclosure of Interests: :

None declared

THU0047 THE SYNOVIUM REWIRES AN IMMUNOLOGICAL RHEOSTAT THAT DEFINES TWO FUNCTIONALLY DISPARATE PATHOGENIC CD4+HLA-DR+ SUBSETS IN HUMAN ARTHRITIS

Background:

Despite advances in understanding how the adaptive T cell landscape is affected in human arthritis, specific T cell subset knowledge has yet to be utilised in clinical settings. We have previously discovered within active arthritic patients, a circulating pathogenic-like lymphocyte (CPLs; CD4+HLA-DR+) within the T-effector compartment, that is phenotypically similar to their synovial counterparts. CPLs are inflammatory, correlate with disease activity and overlap in synovial TCR repertoire. A similar inflammation-associated T-regulatory (iaTreg; CD4+HLA-DR+) subset, that is activated, poised to migrate to inflamed site and sharing synovial TCR overlap, suggest a common disease ontogeny that may exist between CPLs and iaTregs.

Objectives:

Here we seek to determine whether and how the synovial microenvironment plays a role in modulating these two functionally divergent (Teff/Treg compartments) yet pathogenically homologous subsets. This modulation, akin to an immunological rheostat, may be a feature of the disease process.

Methods:

We examined CD45+ immune cells from synovial and PBMCs (active JIA, inactive JIA, paediatric healthy) through mass cytometry (CyToF). CD4 T cells were sorted into CPLs, iaTregs, Teff and Treg through FACS Aria II, from active JIA PBMCs, paired JIA SFMCs and healthy paediatric PBMCs and examined through ngRNASEQ.

Results:

Mass cytometric analysis reveal a significant enrichment of synovium signatures in both circulatory CPLs and iaTregs subsets from active arthritic PBMCs, as compared with the conventional pool of Teff/Tregs. This immunological relationship between CPLs/iaTregs is reaffirmed by comparative differential gene expression (DEG) and phylogenetic tree analysis, which indicated transcriptomic convergence between circulatory pathogenic CPLs/iaTreg subsets and divergence from their respective conventional Teff/Treg pools. Circulatory CPLs/iaTregs exhibit (a) common pathway dysregulation in T cell signalling, (b) restriction in TCR oligoclonality and (c) common transcription factor drivers within the gene regulatory network, suggesting a common pathogenic mechanism acting on these two disparate compartments.

To understand how the microenvironment plays a role in modulating these two subsets, we compared the transcriptome of CPLs/iaTreg and conventional Teff/Treg subsets from (a) healthy PBMCs, (b) JIA PBMCs and (c) paired JIA SFMCs. The convergence between CPLs/iaTreg increases across the spatial/disease continuum, culminating in 7 key common dysregulated pathways within synovium CPLs/iaTregs. Importantly we detected higher clonotypic sharing of TCRs in CPLs/iaTregs across the spatial and disease continuum, suggesting a common precursor driven by antigenic selection.

Conclusion:

Our data suggest that CPLs/iaTregs are dichotomic components of a systemic immune rheostat, shape through the synovium environment, modulating autoimmunity in human arthritis. As iaTreg and CPL most likely have the capacity to morph into each other, the molecular crossroads which control this plasticity represent novel therapeutic targets.

Disclosure of Interests:

None declared

FRI0328 PROFILING OF THE IMMUNE COMPARTMENT IN THE TISSUE ENVIRONMENT OF PSORIATIC ARTHRITIS USING RNASEQ

Background:

Psoriasis is a chronic inflammatory disease of the skin with a reported prevalence of 0.09-11.4% of the population (1). 1 in 4 psoriasis patients also have psoriatic arthritis (PsA) (2), with additional joint involvement that can be associated with significant morbidity. Despite its relative commonness, the aetiology of psoriasis is not well understood, and there is no cure for this disease. Additionally, up to 30% of PsA patients with active disease are recalcitrant to treatment. Thus it remains a prerogative to understand the immune mechanisms contributing to the development of the disease in order to inform strategies for novel therapies.

Objectives:

Our aim was to identify perturbations in local tissue immune networks that could contribute to the pathology of psoriasis and psoriatic arthritis. We hypothesise that psoriasis is driven by a disrupted tissue microenvironment, which then provides cues to a susceptible peripheral immune system to drive pathology. Thus as the first part of our study, we investigated the transcriptional profiles of normal and lesional skin.

Methods:

Skin punch biopsies were obtained from both lesional and morphologically normal skin of 4 PsA patients with active disease. CD45+ cells were isolated using magnetic enrichment for RNA purification and subsequent RNAseq. Differently expressed genes (DEG) were identified and pathway analysis performed using the integrated Differential Expression and Pathway (iDEP) analysis tool. Gene set enrichment analysis was performed using GSEA.

Results:

Transcriptomic analyses of skin revealed that lesional skin, compared to non-lesional sites, was enhanced for expression of genes associated with immune processes (including genes such as such asIL17A,FCN1, andCTLA4) anti-microbial responses (such asDEF4BAandS100A8) and immune cell chemotaxis (notablyCXCL13andSELPLG), suggesting a possible inflammatory response to skin microbiota. Interestingly, lesional skin showed a deficiency in expression of genes associated with tRNA metabolic processes (includingAARS,YARS, and other aminoacyl tRNA synthetases), suggesting a possible defect in protein translation. Similarly, pathway analysis revealed an enrichment in humoral immune response pathways in PsA lesional skin, and a comparative deficiency in RNA metabolic pathways.

Conclusion:

Our transcriptional approach provides a comprehensive overview of localised immunity in psoriasis and predicts intimate interactions with the peripheral immune system. Further studies are ongoing to uncover cell types involved, as well as parallels at other disease sites (joints). These findings will facilitate the identification of novel targets for treatment of PsA.

References:

[1]World Health Organization (2016).Global report on psoriasis. [Online] (https://apps.who.int/iris/bitstream/handle/10665/204417/9789241565189_eng.pdf.psoriasis;jsessionid=54912784D28C9F36ECCD45471AC5775B?sequence=1,accessed 24 January 2020)

[2]Alinaghi F., Calov M., Kristensen L.E., Gladman D.D, Coates L.C., Julien D., Gottlieb A.B., Gisondi P., Wu J.J., Thyssen J.P., Egeberg A. (2019) Prevalence of psoriatic arthritis in patients with psoriasis: A systemic review and meta-analysis of observational and clinical studies.Journal of the American Academy of Dermatology.,80(1), 251-265.

Disclosure of Interests:

Gladys Ang: None declared, Pavanish Kumar: None declared, Dianyan Guo: None declared, Ahmad Lajam: None declared, Warren Fong Consultant of: Abbvie, Janssen, Novartis, Speakers bureau: Abbvie, Janssen, Novartis, Ying Ying Leung Speakers bureau: Novartis, Janssen, Eli Lilly, Salvatore Albani: None declared

FRI0525 INFLUENZA VACCINATION COMPLIANCE AND RESPONSE IN AUTOIMMUNE INFLAMMATORY RHEUMATIC DISEASE PATIENTS: A COHORT STUDY

Background:

Patients diagnosed with autoimmune inflammatory rheumatic diseases (AIIRD) have higher risk of developing infections due to immunological dysfunction and immunosuppressive treatments. Current guidelines recommend annual influenza vaccination to reduce infection risk in this group of patients. However, vaccination response in these patients is uncertain.

Objectives:

To study influenza vaccination compliance and response in a Danish AIIRD patient population.

Methods:

AIIRD patients on biological treatment ± synthetic disease-modifying antirheumatic drugs (sDMARDs) in our department of rheumatology and registered in the Danish Rheumatology database (DANBIO) were included in the current study. The patients were encouraged to be vaccinated against influenza in the 2018/19 winter season. Status of influenza vaccination for the period of 1.9.2018 to 31.12.2018 was reviewed in each patient using the Danish Vaccination Register (DDV) and Danish Electronic Medicine Module (FMK). Patient data were collected by review of the medical files. Serum samples from each patient were collected on two occasions: 1) from 1.6.2017 to 15.5.2018 (before vaccination) and 2) from 1.11.2018 to 1.3.2019 (after vaccination), respectively. Antibody titers against the three antigens included in the trivalent 2018/2019 seasonal influenza vaccine were measured by hemagglutination inhibition assay followed by determination of geometric mean titers (GMT).

Results:

Among a total of 226 study eligible AIIRD patients, 111 (49%) had been influenza vaccinated. In the remaining group of 115 (51%) non-vaccinated patients, 50 were randomly contacted by telephone to ensure the accuracy of DDV registration. All 50 confirmed non-vaccinated status. Median age of vaccinated group was 65 years while of non-vaccinated group was 57 years (p≤0.00001). Median GMT increased from 10 to 22 in the group of vaccinated patients versus from 6 to 10 in the group of non-vaccinated patients (p<0.0001). GMT increased ≥2-fold in 79 (71%) of 111 influenza vaccinated in comparison to 60 (52%) of 115 non-vaccinated patients (p≤0.003). Among influenza vaccinated patients, median age of responders (≥2-fold increase in GMT) was 66 years versus non-responders 63 years (p=0.3). In the influenza vaccinated group, ≥2-fold increase in GMT was seen in 51 (73%) of 70 patients receiving methotrexate compared to 28 (68%) of 41 in patients not receiving methotrexate (p=0,6).

Conclusion:

Only half of the patients were compliant to the vaccination recommendations in the 2018/2019 influenza season despite the information campaign. Response rate of influenza vaccination (≥2-fold GMT increase) was 71% in AIIRD patients receiving immunosuppressive treatments. In contrast to other studies, concurrent methotrexate treatment did not attenuate serological response of influenza vaccination. We are still exploring the causes of increased influenza antibody titers in non-vaccinated group.

References:

[1] Kapetanovic MC, Kristensen LE, Saxne T, et al. Impact of anti-rheumatic treatment on immunogenicity of pandemic H1N1 influenza vaccine in patients with arthritis. Arthritis Res Ther 2014;16:R2.

[2] Hua C, Barnetche T, Combe B, et al. Effect of methotrexate, anti-tumor necrosis factor α, and rituximab on the immune response to influenza and pneumococcal vaccines in patients with rheumatoid arthritis: a systematic review and meta-analysis. Arthritis Care Res 2014;66:1016–26.

[3] Furer V, et al. 2019 update of EULAR recommendations for vaccination in adult patients with autoimmune inflammatory rheumatic diseases. Ann Rheum Dis 2020;79:39–52. doi:10.1136/annrheumdis-2019-215882

Disclosure of Interests:

None declared

Split bolus dual-energy CT urography after urine dilution: a one-stop shop for detection and characterisation of urolithiasis

AIM

To determine the diagnostic performance of split-bolus dual-energy computed tomography (CT) urography (SBDECTU) in the detection and characterisation of urolithiasis.

MATERIALS AND METHODS

This single-centre Institute Ethics Committee (IEC)-approved prospective study was conducted from April 2014 to November 2015. One hundred and thirty consenting adults with microscopic haematuria underwent dual-energy true non-enhanced CT (DETNE) of the whole abdomen followed by a SBDECTU. The SBDECTU protocol consisted of synchronous nephrogram-urogram acquisition following urine dilution by oral hydration and normal saline injection. Calculi were detected and characterised using virtual non-enhanced (VNE) images derived from SBDECT were compared with DETNE (the reference standard). The subjective image quality and radiation dose were compared.

RESULTS

Twenty-six participants had one or more calculi (total 129 calculi) detected on DETNE CT. The sensitivity and specificity of VNE on a per-patient basis were 100%. Of the 129 calculi, 118 were detected on VNE, with a sensitivity of 91.47% and an accuracy of 91.47%. Of the calculi, 83.9% (99/118) could be characterised on SBDECTU images. On VNE images, complete iodine subtraction was seen in 73.1% (19/26). By omitting DETNE CT, the mean dose-length product of 537.6±152.9 mGy and volume CT dose index of 10.9±2.9 mGy•cm² could have been saved.

CONCLUSION

SBDECTU has high diagnostic accuracy in the detection and characterisation of clinically significant urinary calculi at potentially half the radiation dose.

Depth resolved defect characterization of energetic ion irradiated ZnO by positron annihilation techniques and photoluminescence

Depth resolved positron annihilation spectroscopy (PAS) has been employed to characterize the 1.2 MeV Ar and 800 keV O ion beam induced defects in ZnO. The first extraordinary result was the observation of defects in ion beam irradiated ZnO beyond the maximum penetration depth of the respective ions. The positron annihilation results revealed the formation of vacancy clusters consisting of both V_Zn and V_O in ZnO which are saturated at a threshold radiation dose (defined as nuclear energy loss, S_n  ×  fluence). From the photoluminescence (PL) spectra it has been observed that the PL intensity at the band edge degraded with the increase of open volume defects in ZnO. The evolution of the 2.4 eV PL, which is linked with the oxygen vacancies, is more significant due to Ar irradiation than the oxygen irradiation.

AML1 protein interacts with influenza A virus neuraminidase and upregulates IFN-β response in infected mammalian cells

Neuraminidase (NA) is an integral membrane protein of influenza A virus (IAV) and primarily aids in the release of progeny virions, following the intracellular viral replication cycle. In an attempt to discover new functions of NA, we conducted a classical yeast two-hybrid screen and found acute myeloid leukaemia marker 1 (AML1) as a novel interacting partner of IAV-NA. The interaction was further validated by co-immunoprecipitation in IAV-infected cells and in an in vitro coupled transcription/translation system. Interestingly, we found an increase in the expression of AML1 upon IAV infection in a dose-dependent manner. As expected, we also observed an increase in the IFN-β levels, the first line of defence against viral infections. Subsequently, when AML1 was downregulated using siRNA, the IFN-β levels were found to be remarkably reduced. Our study also shows that AML1 is induced upon IAV infection and results in the induction of IFN-β. Thus, AML1 is proposed to be an important player in IFN induction and has a role in an antiviral response against IAV infection. SIGNIFICANCE AND IMPACT OF THE STUDY: Influenza epidemics and pandemics are constant threats to human health. Development of antiviral therapeutics has focused on important and major IAV proteins as targets. However, the rate at which this virus mutates makes the task challenging. Thus, next-generation approaches aim at host cellular proteins that aid the virus in its replication. This study reports a new host-virus interaction, of acute myeloid leukaemia marker 1 (AML1) with influenza A neuraminidase (IAV-NA). We have found that this interaction has a direct effect on the upregulation of host IFN-β response. Further studies may lead to a greater understanding of this new innate defence pathway in infected cells.

Cardiac MRI for the evaluation of cardiac neoplasms

Primary cardiac neoplasms are extremely rare and are far outnumbered by metastases. These are difficult to diagnose and differentiate clinically due to lack of specific clinical manifestations. Technological advances have revolutionised cardiac imaging, with the cardiac magnetic resonance imaging (CMRI) showing promising results in the non-invasive evaluation of cardiac masses. Further, CMRI may envisage the malignant potential of a lesion based on its location, morphology, and signal characteristics, in addition to determining its impact on cardiac function. With the ever-increasing application of CMRI in the evaluation of neoplasms, comprehensive knowledge of their imaging characteristics becomes crucial.

56 Mammalian pre-implantation embryos at the single cell level: The bovine as a model for early human embryonic development

Single-cell transcriptomics and gene editing on human pre-implantation embryos have proved that mechanisms previously identified and well characterised in mouse pre-implantation development may not hold true in the human embryo. However, ethical and legal concerns limit the availability of surplus human embryos for research, resulting in the need for novel animal models. Bovine embryos share morphological and temporal resemblance with human early development; still, key molecular and cellular developmental mechanisms need to be further explored. In the present study, we performed a comparative single-cell RNA sequencing analysis across multiple pre-implantational developmental stages of invitro-derived bovine, human (Petropoulos et al. 2016 Cell 165, 1012-1026; https://doi.org/10.1016/j.cell.2016.03.023), and mouse embryos (Cheng et al. 2019 Cell Rep. 26, 2593-2607, https://doi.org/10.1016/j.celrep.2019.02.031; Posfai et al. 2017 eLife 6, e22906, https://doi.org/10.7554/eLife.22906; Chen et al. 2016 Genome Res. 26, 1342-1354). In total 497 blastomeres corresponding to embryonic days (E) E4-E8 were prepared using Smart sEqn 2, Illumina HiSEqn 2500 sequencing with 50-bp single-end reads. Embryonic stage was defined by cell numbers and morphology as multicellular stage (Mu, ~E4), morulae (M; E5), early blastocysts (EB, ~6), mid-expanded blastocysts, (MB, ~E7), and late expanded/hatched blastocysts (LB, ~E8). We found top differentially expressed genes elucidating how lineage specification and pluripotency is controlled in the early bovine embryo. Our transcriptomic data showed that the first lineage segregation in the pre-implantation bovine embryo occurs after cavitation at E6 in the early blastocyst, suggesting a similarity with the early human blastocyst. In addition, E7 showed distinctive and more mature inner cell mass (ICM) and trophectoderm (TE) profiles. Different from the mouse, where the first lineage segregation of TE-ICM is suggested to occur at the morula stage due to CDX2-OCT4 antagonism, we found that the expression of OCT4 protein cattle expanded blastocysts is not restricted to the ICM, similar to what has been reported to occur in the human embryo. Interestingly, we also found that the second lineage segregation, which segregates the epiblast from the primitive endoderm within the ICM, starts in bovine at E8 expanded hatched late blastocysts, suggesting a potential difference with humans, where TE-ICM and epiblast-primitive endoderm has previously been reported to occur almost concurrently. We are now complementing our findings with genome editing in bovine embryos by generating knockout embryos of different target genes part of an evolutionarily conserved signaling pathway to study their effects in the early pre-implantation embryo. We aim to elucidate how early lineage specification and pluripotency establishment occurs while offering theoretical support for efficient derivation and culture of bovine embryonic stem cells.

Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA

We present our current best estimate of the plausible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next several years, with the intention of providing information to facilitate planning for multi-messenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitational-wave signals for the third (O3), fourth (O4) and fifth observing (O5) runs, including the planned upgrades of the Advanced LIGO and Advanced Virgo detectors. We study the capability of the network to determine the sky location of the source for gravitational-wave signals from the inspiral of binary systems of compact objects, that is binary neutron star, neutron star-black hole, and binary black hole systems. The ability to localize the sources is given as a sky-area probability, luminosity distance, and comoving volume. The median sky localization area (90% credible region) is expected to be a few hundreds of square degrees for all types of binary systems during O3 with the Advanced LIGO and Virgo (HLV) network. The median sky localization area will improve to a few tens of square degrees during O4 with the Advanced LIGO, Virgo, and KAGRA (HLVK) network. During O3, the median localization volume (90% credible region) is expected to be on the order of 10 5 , 10 6 , 10 7 Mpc 3 for binary neutron star, neutron star-black hole, and binary black hole systems, respectively. The localization volume in O4 is expected to be about a factor two smaller than in O3. We predict a detection count of 1 - 1 + 12 ( 10 - 10 + 52 ) for binary neutron star mergers, of 0 - 0 + 19 ( 1 - 1 + 91 ) for neutron star-black hole mergers, and 17 - 11 + 22 ( 79 - 44 + 89 ) for binary black hole mergers in a one-calendar-year observing run of the HLV network during O3 (HLVK network during O4). We evaluate sensitivity and localization expectations for unmodeled signal searches, including the search for intermediate mass black hole binary mergers.

Search for Subsolar Mass Ultracompact Binaries in Advanced LIGO's Second Observing Run

We present a search for subsolar mass ultracompact objects in data obtained during Advanced LIGO's second observing run. In contrast to a previous search of Advanced LIGO data from the first observing run, this search includes the effects of component spin on the gravitational waveform. We identify no viable gravitational-wave candidates consistent with subsolar mass ultracompact binaries with at least one component between 0.2  M_{⊙}-1.0  M_{⊙}. We use the null result to constrain the binary merger rate of (0.2  M_{⊙}, 0.2  M_{⊙}) binaries to be less than 3.7×10^{5}  Gpc^{-3} yr^{-1} and the binary merger rate of (1.0  M_{⊙}, 1.0  M_{⊙}) binaries to be less than 5.2×10^{3}  Gpc^{-3} yr^{-1}. Subsolar mass ultracompact objects are not expected to form via known stellar evolution channels, though it has been suggested that primordial density fluctuations or particle dark matter with cooling mechanisms and/or nuclear interactions could form black holes with subsolar masses. Assuming a particular primordial black hole (PBH) formation model, we constrain a population of merging 0.2  M_{⊙} black holes to account for less than 16% of the dark matter density and a population of merging 1.0  M_{⊙} black holes to account for less than 2% of the dark matter density. We discuss how constraints on the merger rate and dark matter fraction may be extended to arbitrary black hole population models that predict subsolar mass binaries.

Polydopamine -aminoglycoside nanoconjugates: Synthesis, characterization, antimicrobial evaluation and cytocompatibility

Development of nanoparticle- and self-assembled nanomaterial-based therapeutics has become a rapidly growing area in the field of nanotechnology. One of the natural compounds, dopamine, presents as a neurotransmitter in the human brain serving as a messenger and deals with the behavioural responses, has provided an ideal platform through self-polymerization under aerobic conditions leading to the formation of a beneficial organic biopolymer, polydopamine (PDA). This polymer provides sufficient reactive functionalities, which can further be use to attach amine- or thiol-containing ligands to obtain conjugates. In the present study, self-polymerized polydopamine nanoparticles have been synthesized and tethered to aminoglycosides (AGs: Gentamicin, Kanamycin and Neomycin) through amino moieties to obtain PDA-AG nanoconjugates. These nanoconjugates are characterized by physicochemical techniques and evaluated for their antimicrobial potency against various bacterial strains including resistant ones. Simultaneously, cytocompatibility was also assessed for PDA-AG nanoconjugates. Of these three nanoconjugates (PDA-Gentamicin, PDA-Kanamycin and PDA-Neomycin), PDA-Kanamycin (PDA-K) nanoconjugate exhibited the highest activity against potent pathogens, least toxicity in human embryonic kidney (HEK 293) cells and intense toxic effects on human glioblastoma (U87) cells. Together, these results advocate the promising potential of these nanoconjugates to be used as potent antimicrobials in future applications.

Multichannel processing of vibrational measurements: A constrained subspace application

Monitoring mechanical systems operating in uncertain environments contaminated with both environmental disturbances and noise lead directly to low signal-to-noise-ratios, creating an extremely challenging processing problem, especially in real-time. In order to estimate the performance of a particular system from uncertain vibrational data, it is necessary to identify its unique resonant (modal) frequency signature. The monitoring of structural modes to determine the condition of a device under investigation is essential, especially if it is a critical entity of an operational system. The development of a model-based scheme capable of the on-line tracking of the inherent structural modal frequencies by applying both constrained subspace identification techniques to extract the modal frequencies and state estimation methods to track the evolution is discussed. An application of this approach to a cylindrical structural device (pipe-in-air) is analyzed based on theoretical simulations along with controlled validation experiments, including injected anomalies illustrate the approach and performance. Statistics are gathered to bound potential processors for real-time performance employing these constrained techniques.