Fluid Profiles Research Articles

Sources of Variance in Human Tear Proteomic Samples: Statistical Evaluation, Quality Control, Normalization, and Biological Insight.

Human tear fluid contains numerous compounds, which are present in highly variable amounts owing to the dynamic and multipurpose functions of tears. A better understanding of the level and sources of variance is essential for determining the functions of the different tear components and the limitations of tear samples as a potential biomarker source. In this study, a quantitative proteomic method was used to analyze variations in the tear protein profiles of healthy volunteers. High day-to-day and inter-eye personal variances were observed in the tear volumes, protein content, and composition of the tear samples. Several normalization and outlier exclusion approaches were evaluated to decrease variances. Despite the intrapersonal variances, statistically significant differences and cluster analysis revealed that proteome profile and immunoglobulin composition of tear fluid present personal characteristics. Using correlation analysis, we could identify several correlating protein clusters, mainly related to the source of the proteins. Our study is the first attempt to achieve more insight into the biochemical background of human tears by statistical evaluation of the experimentally observed dynamic behavior of the tear proteome. As a pilot study for determination of personal protein profiles of the tear fluids of individual patients, it contributes to the application of this noninvasively collectible body fluid in personal medicine.

Influence of thermostat on droplet spreading in molecular dynamics simulations

Molecular dynamic (MD) simulation has been extensively utilized to study droplet spreading, where the choice of thermostatting method can have a significant impact on the reliability of results. In this study, we perform simulations of droplet spreading across diverse scenarios, elucidating the reliability of thermostatting fluid (TF). Two widely employed thermostats, namely, the Nosé-Hoover (NH) algorithm and the Langevin (LGV) algorithm, are considered. Our findings reveal that while the NH thermostat is suitable for non-volatile droplet simulations in a vacuum where the flow inside the droplet is less impacted, it struggles in scenarios involving violent gas adsorption. Due to the global nature of NH algorithm, the temperature of adsorbed film cannot be regulated effectively, leading to suppressed adsorption. The distorted surface energy subsequently impacts the spreading dynamics. In contrast, the LGV algorithm, when applied by deactivating the thermostat in the spreading directions, yields accurate results across a broader range of scenarios, including non-volatile droplets spreading in a vacuum and in a gas environment. Nevertheless, TF schemes reveal their limitations when dealing with volatile droplets, where the heat transfer between the liquid and the solid wall significantly influences spreading. In TF systems, energy for evaporation comes directly from the thermostat, which leads to distorted temperature profiles of fluids, affecting the evaporation rate. In summary, special care should be taken when thermostatting fluid directly, especially in scenarios involving volatile droplets and violent adsorption.

COVID-19-associated serum and cerebrospinal fluid cytokines in post- versus para-infectious SARS-CoV-2-related Guillain-Barré syndrome.

Guillain-Barré syndrome associated with Coronavirus-2-related severe acute respiratory syndrome (COV-GBS) occurs as para- or post-infectious forms, depending on the timing of disease onset. In these two forms, we aimed to compare the cerebrospinal fluid (CSF) and serum proinflammatory cytokine profiles to evaluate differences that could possibly have co-pathogenic relevance. We studied a retrospective cohort of 26 patients with either post-COV-GBS (n = 15), with disease onset occurring > 7days after SARS-CoV-2 infection, or para-COV-GBS (n = 11), with disease onset 7days or less. TNF-α, IL-6, and IL-8 were measured in the serum with SimplePlex™ Ella™ immunoassay. In addition to the para-/post-COV-GBS patients, serum levels of these cytokines were determined in those with non-COVID-associated-GBS (NC-GBS; n = 43), paucisymptomatic SARS-CoV-2 infection without GBS (COVID, n = 20), and in healthy volunteers (HV; n = 12). CSF cytokine levels were measured in patients with para-/post-COV-GBS, in those with NC-GBS (n = 29), or with Alzheimer's disease (AD; n = 24). Serum/CSF cytokine levels did not differ in para- vs post-COV-GBS. We found that SARS-CoV-2 infection raises the serum levels of TNF-α, IL-6, and IL-8, as well as an increase of IL-6 (in serum and CSF) and IL-8 (in CSF) in either NC-GBS or COV-GBS than controls. CSF and serum cytokine levels resulted independent one with another. The change of cytokines linked to SARS-CoV-2 in COV-GBS appears to be driven by viral infection, although it has unique characteristics in GBS as such and does not account for cases with para- or post-infectious onset.

Effect of Nutmeg Meal on Microbial Abundance of Biohydrogenation Process, and Fatty Acid Profile of Goat Rumen Fluid In Vitro

This study aimed to evaluate the effect of nutmeg meal as a source of phenol on the abundance of dominant microbes in the biohydrogenation process and the fatty acid profile of goat rumen fluid in vitro. This study used a randomized complete block design with four treatments and three replicates of in vitro batches, each replicate in duplicate. The dietary treatments consisted of elephant grass (40%), soybean meal (10%), with varying proportion of wheat pollard, canola oil and nutmeg meal hence, treatment P0 (40:10:45:5:0); P1 (40:10:40:5:5); P2 (40:10:35:5:15); P3 (40:10:30:5:10). Fermentation using the in vitro gas production method described by Menke and Steinggas with an incubation period of 48 hours. Parameters observed included microbial abundance and fatty acid profile of goat rumen fluid. The statistical analysis showed that adding nutmeg meal starting at the 5% level decreased the abundance of the main biohydrogenation process bacteria anaerovibrio, butyrivibrio fibrisolvens, and pseudobutyrivibrio. Total saturated fatty acid and stearate fatty acid concentrations decreased (P<0.05), while total unsaturated fatty acid, linoleic and oleic acid concentrations increased (P<0.05).

Rumen Fluid Profile, Methane Emission and Nitrogen Excretion of Young and Mature Kacang Goats Under Different Feeding Levels

Rumen Fluid Profile, Methane Emission and Nitrogen Excretion of Young and Mature Kacang Goats Under Different Feeding Levels

An embedded microfluidic valve for dynamic control of cellular communication.

The communication between different cell populations is an important aspect of many natural phenomena that can be studied with microfluidics. Using microfluidic valves, these complex interactions can be studied with a higher level of control by placing a valve between physically separated populations. However, most current valve designs do not display the properties necessary for this type of system, such as providing variable flow rate when embedded inside a microfluidic device. While some valves have been shown to have such tunable behavior, they have not been used for dynamic, real-time outputs. We present an electric solenoid valve that can be fabricated completely outside of a cleanroom and placed into any microfluidic device to offer control of dynamic fluid flow rates and profiles. After characterizing the behavior of this valve under controlled test conditions, we developed a regression model to determine the required input electrical signal to provide the solenoid the ability to create a desired flow profile. With this model, we demonstrated that the valve could be controlled to replicate a desired, time-varying pattern for the interface position of a co-laminar fluid stream. Our approach can be performed by other investigators with their microfluidic devices to produce predictable, dynamic fluidic behavior. In addition to modulating fluid flows, this work will be impactful for controlling cellular communication between distinct populations or even chemical reactions occurring in microfluidic channels.

Functional connectivity in Alzheimer’s disease: A resting‐state EEG study

AbstractBackgroundAlzheimer’s disease (AD) is mainly associated with amnestic deficits. Imaging studies revealed a disruption of functional networks in AD, which plays a crucial role for the cognitive deficits. There is also evidence from resting‐state Electroencephalography (rsEEG) studies, which found altered functional connectivity measuring EEG coherence in AD (Babiloni et al., 2021; Wang et al., 2015). This was especially seen for the Alpha frequency band, which is known for its diagnostic potential in the disease. Furthermore, studies suggest that Alpha band marker correlate with cognitive decline in AD (Babiloni et al., 2010). The main aim of the current work is to gain a better understanding of the functional connectivity in Alzheimer’s disease based on EEG given a very high temporal resolution.MethodThe sample consisted of 15 patients (AD, 72.3 ± 8.28 years, 66.7% male) with mild cognitive impairment to mild dementia with a typical cerebrospinal fluid profile of Alzheimer’s disease or pathological Amyloid‐PET and 15 age‐matched healthy controls (HC, 72.93 ± 7.17 years, 53.3% male). All participants underwent a neuropsychological examination and rsEEG. The rsEEG was recorded with the Neurowerk Amplifier using an elastic cap with 19 electrodes (10‐20 system). Raw data were preprocessed and further analyzed with regard to functional connectivity focusing on the Alpha frequency band (Brainstorm, SPSS, EEGlab). Functional connectivity was calculated by the magnitude squared coherence. Coherence was further clustered in global coherence and coherence per electrode. Finally, coherence scores were evaluated in relation to neuropsychological scores.ResultsCenters of functional connectivity were found in frontal‐frontal and frontal‐parietal/occipital electrode pairs. Alpha frequency band (8 – 13 Hz), particularly Alpha1 frequency band (8 – 11 Hz), yielded the highest coherence scores. When comparing AD and HC, patients showed reduced coherence in Alpha2 (11 – 13 Hz) and Beta (13 – 20 Hz). Additionally, moderate correlations of global coherence and behavioral measures were found mainly for the Alpha1 frequency band.ConclusionAlzheimer’s disease can be associated with poorer functional connections of certain brain areas and rsEEG coherence might be a potential biomarker for AD.

Role of altered amniotic fluid cytokine profile in in development of fetal membrane insufficiency

Studies on pathogenesis of fetal membrane insufficiency in preterm pregnancy should expand the opportunities of predicting prenatal rupture of amniotic fluid and improve the strategy of anticipant gestation management in cases of premature rupture of the fetal membranes. The clinical significance of studying this obstetric problem is unquestionable due to the high risk of complications and perinatal losses caused by preterm birth. This research is devoted to studying the changes in cytokine profile of amniotic fluid during prenatal rupture of amniotic fluid at 22 to 34 weeks of gestation. The levels of pro-inflammatory (TNFα, IL-6, IL-1β, IL-2, IL-6, IL-8) and anti-inflammatory (IL-4, IL-10) cytokines in amniotic fluid were determined in 30 patients, whose premature pregnancy was complicated by early rupture of the membranes. For reference, the level of these cytokines in the amniotic fluid was studied in 25 pregnant women with a physiological course of pregnancy at full-term gestation. The ELISA technique was used with a test system produced by JSC Vector-Best. The study was carried out on the basis of the Perinatal Center of the Saratov Region. We have found that premature rupture of the membranes is preceded by increased levels of pro-inflammatory cytokines in amniotic fluid. The latter result suggests a significant alteration in feto-placental complex, which may be the starting point both for damage to the fetal membranes, as well as for development of labor activity.

Density profile of a self-gravitating polytropic turbulent fluid in a rotating disc near to the cloud core

ABSTRACT We obtain two equations (following from two different approaches) for the density profile in a self-gravitating polytropic cylindrically symmetric and rotating turbulent gas disc. The adopted physical picture is appropriate to describe the conditions near to the cloud core where the equation of state of the gas changes from isothermal (in the outer cloud layers) to one of ‘hard polytrope’, and the symmetry changes from spherical to cylindrical. On the assumption of steady state, as the accreting matter passes through all spatial scales, we show that the total energy per unit mass is an invariant with respect to the fluid flow. The obtained equation describes the balance of the kinetic, thermal, and gravitational energy of a fluid element. We also introduce a method for approximating density profile solutions (in a power-law form), leading to the emergence of three different regimes. We apply, as well, dynamical analysis of the motion of a fluid element. Only one of the regimes is in accordance with the two approaches (energy and force balance). It corresponds to a density profile of a slope −2, polytropic exponent 3/2, and sub-Keplerian rotation of the disc, when the gravity is balanced by the thermal pressure. It also matches with some observations and numerical works and, in particular, leads to a second power-law tail (of a slope ∼−1) of the density distribution function in dense, self-gravitating cloud regions.

Cytokine profile of oral fluid in patients with food allergy associated with atopic dermatitis and psoriasis

The world is experiencing a rapid increase in the prevalence of allergic and autoimmune diseases. It is known that allergic inflammation is most often systemic, involving various organs and systems in the pathological process, such as the skin, respiratory and gastrointestinal tract with the development of dermatorespiratory, dermato-intestinal and other manifestations. The study of the features of the cytokine profile in oral fluid (saliva) deserves special attention, since these characteristics reflect not only local, but also systemic disorders. Of particular relevance is the study of local cytokine regulation of intercellular interactions in food allergies. Our objective was to study the concentration of IL-4, IL-10, IFNγ, secretory IgA in salivary fluid, the concentrations of total immunoglobulin E and eosinophilic cationic protein in blood serum of the patients with atopic dermatitis and psoriasis with concomitant food allergies.The study included patients with atopic dermatitis (AD, group 1, n = 20), psoriasis with concomitant food allergy (PS, group 2, n = 27), psoriasis without concomitant allergies (PS, comparison group 3, n = 23). Quantitative assessment of the cytokine concentrations (IL-4, IL-10, IFNγ, sIgA) in salivary fluid was carried out by enzyme-linked immunosorbent assay. Concentrations of total immunoglobulin E and eosinophilic cationic protein in blood serum were determined by indirect immunofluorescence. The obtained results were processed using the Statistica 8.0 applied software.In groups of patients with atopic dermatitis (Group 1) and psoriasis with concomitant food allergy (Group 2), we have noted a statistically significant increase of salivary IL-4 and IL-10, as well as of total immunoglobulin E concentrations in blood serum as compared with a group of patients with psoriasis without concomitant allergies (group 3), and with control group. When studying concentrations of IFNγ in saliva, no statistically significant intergroup differences were found. The concentration of sIgA in saliva was significantly higher in the groups of patients with atopic dermatitis and psoriasis accompanied by food allergies in comparison with control group and the group of psoriatic patients without food allergies (group 3).The cytokine profile of saliva is characterized by unidirectional changes in food allergy. Skin seems to be the shock organ in this condition, regardless of nosological form of the disease (atopic dermatitis or psoriasis). Salivary fluid is an easily accessible material when assessing the state of mucosal immunity in food allergies.

Association of Periodontitis and Atopic Dermatitis with the Levels of IL-13, IL-31, and TSLP in the Gingival Crevicular Fluid.

Emerging epidemiological evidence links atopic dermatitis (AD) and periodontitis, although the mechanisms remain unclear. Th2-derived cytokines are key in the development of both diseases, and different gingival crevicular fluid (GCF) profiles among healthy and diseased subjects have been previously reported. This case-control study examined the GCF levels of interleukins (IL)-13, IL-31, and thymic stromal lymphopoietin (TSLP) in 29 subjects with moderate-to-severe AD and 33 controls. All subjects underwent comprehensive clinical and oral evaluations, followed by GCF collection. GCF levels of IL-13, IL-31, and TSLP were assessed using a multiplex-bead immunoassay. Demographic and periodontal parameters were similar among groups (p > 0.05). The GCF levels of IL-31 and TSLP were higher in AD subjects compared to controls (p < 0.05), whereas no significant differences in the GCF levels of IL-13 were noticed (p = 0.377). Moderate-to-severe AD was positively associated with the GCF levels of IL-31 and TSLP, whereas severe periodontitis was negatively associated with IL-31 (p < 0.05). The GCF levels of IL-13 showed no significant associations with either condition (p = 0.689). There was no significant interaction between AD and periodontitis for IL-31 (p < 0.869). These results suggest that AD and periodontitis independently influence the GCF levels of IL-31 in opposing ways, whereas AD alone influences the levels of TSLP.

Association of a Bioimpedance Profile with Optical Coherence Tomography Features in Diabetic Macular Edema.

We examined the association between bioimpedance profiles and optical coherence tomography (OCT) features in patients with diabetic macular edema (DME). This cross-sectional study included 100 eyes of 100 patients with type 2 diabetes mellitus. The systemic fluid status was assessed using extracellular water-to-total body water ratio (ECW/TBW) and phase angle (PhA), which was measured using bioimpedance equipment. ECW/TBW was higher in the DR (diabetic retinopathy) with DME group than in the no DR and DR without DME groups (p = 0.007 and p = 0.047, respectively); however, no significant difference was observed between the no DR and DR without DME groups. The PhA values were significantly lower in the DR with DME group (5.45 ± 0.84) than in the no DR (6.69 ± 0.69) and DR without DME groups (6.05 ± 1.15) (p < 0.001, p = 0.032, respectively). The presence of multiple HRF (hyper-reflective foci) was associated with a significantly higher ECW/TBW (p = 0.001). In the group with the most significant HRF, PhA was lower than in those with none or moderate amounts of HRF (p < 0.05). Bioimpedance fluid profiles of patients with OCT features of DME suggest a connection between the overall systemic state, including fluid status and DME development. Further research is required to fully understand and utilize this information for effective clinical assessment and treatment planning.

STRUCTURING RESILIENCE IN THE CONTEXT OF COMMON SECURITY AND DEFENCE POLICY

Resilience is a dimension with a pronounced multidisciplinary character covering a wide range of areas of society, which gives it a fluid profile and difficult to fit into a conceptual-functional typology. The interest in resilience is undoubtedly one of the trends of the current decade, however precursory elements are found throughout history in the most diverse forms of manifestation. As in the case of other dimensions explored in recent years from the perspective of European cooperation in the field of security and defence, resilience was quickly integrated into the steps carried out under the auspices of the Common Security and Defence Policy (CSDP), becoming one of the key objectives of the European Union’s external action toolkit and, last but not least, of the operational commitments carried out globally by this organization. The contribution of the EU Global Security Strategy (EUGS) in designing resilience as a central element of the European security and defence cooperation agenda was defining. The main direction promoted by the EUGS was to strengthen resilience aspects in external action, while taking a structured approach to exploring options for strengthening internal resilience. Subsequently, the outbreak of the war in Ukraine as a result of Russia’s aggression additionally valued the strategic significance of states’ resilience and, subsequently, the importance of the EU’s contribution in this direction. This study is aiming to bring into light the way in which CSDP answers to the challenge of consolidating the resilience. In this vein, the methodological approach that was implemented responded the multidisciplinary character of this topic. In order to consolidate the comprehensive character of the present study, a historical perspective has been used that correlates the evolution of resilience in EU context with the development of various CSDP instruments. In this sense, an important direction of research is represented by the interaction between resilience and EU’s external action and how the EU response to crisis situations has evolved. To a similar extent, this paper approached the resilience from the perspective of internal security of European Union, especially in the context of the war in Ukraine. A special note is made on how the latest EU strategic document (Strategic Compass) placed resilience as being one of the strategic objectives of CSDP. Given all of these aspects, the main conclusions of the article are emphasising the importance of adequate calibration of national approach in generating resilience, not only in the conceptual area but also on the practical aspects such as capabilities and resources required by a strong resilience. At the same time, a special attention is given to how the partnership and external interaction, especially between EU and NATO, are tailored to enhance and complement the national contributions in the field of resilience.

Prolonged follicular dominance is associated with dysregulated proteomic profile of the follicular fluid in Bos indicus cows

Prolonged follicular dominance is one of the conditions associated with disconcerted follicular dynamics that result in substantial economic losses to the farmers through low reproductive efficiency in cattle. Hormonal aberrations associated with prolonged follicular dominance may affect the follicular microenvironment and composition of follicular fluid. The current study focused on proteome changes of follicular fluid in prolonged follicular dominance compared to physiological follicular dominance. Prolonged dominance was induced in Deoni cows (n = 6) by using CIDR (previously used for 7 days) from day 4–8 of estrus, with PGF2 injection on day 6 and day 7 at 12 h intervals. Follicular fluid was collected by ultrasound guided transvaginal follicular aspiration method. Global proteomic analysis of follicular fluid revealed 217 proteins in the Deoni cow, with the majority of proteins involved in 21 pathways, 42 molecular functions, and 106 biological processes. Complement and coagulation cascades (22.8%) and cholesterol metabolism (4.68%) were the major pathways in which identified proteins were involved. Comparison of physiological and prolonged dominant follicular fluid revealed differential expression of 26 proteins, of which 15 were upregulated and 11 were downregulated. Proteins involved in complement and coagulation cascades, and vitamin digestion and absorption were found to be dysregulated in PFD. The present study suggests that the expression of proteins involved in inflammation, oocyte metabolism, and ovulation cascade were found to be dysregulated in the follicular fluid of prolonged follicular dominance consequently resulting in delayed ovulation or anovulation.

Analysis of the subsurface and fluid temperature monitoring by long-term operation of borehole heat exchangers

Owing to the prevailing escalation in energy costs, escalating energy demands, depletion of conventional resources, and escalating greenhouse gas emissions, there has been an expeditious upsurge in the worldwide proliferation of alternative energy sources. Geothermal systems, in particular, are highly coveted as environmentally friendly and sustainable renewable energy reservoirs, offering efficacious cooling and heating capabilities for various structures (Xu et al., 2020; Ghasemi-Fare &amp; Basu, 2013). The energy exchange efficiency of geothermal systems is significantly contingent upon the ground temperature, enabling the discharge of energy into the ground for cooling purposes in summer and its retrieval for heating requirements during winter. However, long-term operation of geothermal energy systems can engender an imbalance in thermal recovery through the heating and cooling processes, consequently influencing the thermomechanical behavior of the subsurface over time (Baek et al., 2017). Geothermal systems, also known as ground source heat pumps (GSHPs), are designed to operate for around 20 years, while the heat source component can be utilized for an extended duration ranging from 30 to 50 years. Understanding heat transfer characteristics and long-term performance of geothermal energy systems is crucial for optimal utilization and efficiency. However, research often lacks field investigation data, specifically for long-term monitoring and validation of fluid temperatures and subsurface temperature profiles. This research conducted comprehensive long-term measurements to assess fluid and subsurface temperature behavior in a borehole heat exchanger (BHE) system. The study examined the impact of sustained BHE performance on surface and subsurface temperature dynamics. A sophisticated three-dimensional numerical model was developed based on empirical insights from the field study and validated using monitored data. The analysis included inlet/outlet fluid temperature, spatial heterogeneity of ground temperature profiles, thermal recovery processes, and alterations caused by residual thermal energy.&#x0D; Furthermore, additional temperature sensors were deployed at various depths to monitor temperature changes at distinct levels within the subground.&#x0D; In this study, an advanced three-dimensional (3D) numerical model was developed utilizing the Finite Element Method (FEM) to effectively capture the intricate heat transfer processes occurring around BHEs. The geometry mesh was generated using a specialized triangular mesh generator, enabling spatial variation of element sizes to accurately represent the geometry and temperature distribution patterns. To address the specific requirements of U-tube heat exchanger loops, where the steepest temperature gradient is anticipated, a meticulously chosen element size of 0.7 mm, was employed. As the model extends towards the lateral boundaries, particularly in the radial direction, the element size gradually increases to ensure faithful representation of the system's characteristics. To properly account for diverse vertical temperature gradients, the number of elements and the vertical distance between slices were systematically adjusted within a range of 0.01 to 5 m. This meticulous variation facilitated accurate consideration of the distinct vertical temperature profiles. Notably, the finest discretization was applied near the bottom of the BHE (approximately z = -155 m) and at the top surface, characterized by a significant temperature gradient.&#x0D; The depicted Figure 2 showcases the model's performance in analyzing the fluid profile in comparison to the monitored data over a duration of 600 hours. This comparison reveals that the maximum relative difference between the monitored and simulated values for the inlet and outlet fluid temperature does not exceed 2.649 and 2.296 degrees Celsius, respectively. These findings offer compelling evidence of the exceptional accuracy of the proposed numerical modeling approach, thus affirming its suitability for examining the long-term sustainability of BHE systems.

Anti-aquaporin-4 immunoglobulin G/anti-myelin oligodendrocyte glycoprotein immunoglobulin G double-positive paraneoplastic neurological syndrome in a patient with triple-negative breast cancer.

We report a rare case of paraneoplastic neurological syndrome with dual seropositivity of anti-aquaporin-4 and myelin oligodendrocyte glycoprotein antibodies in a 40 year-old woman with metastatic triple-negative breast cancer. She received multiple lines of anti-neoplastic treatment, including immunotherapy with pembrolizumab, as well as cytotoxic chemotherapy. Paraneoplastic meningoencephalomyelitis developed 2 years after diagnosis of breast cancer and 1 year after discontinuation of immunotherapy with pembrolizumab. She first developed longitudinally extending transverse myelitis followed by left optic neuritis and meningoencephalitis with new enhancing lesions in the brain and spinal leptomeninges. Cerebrospinal fluid analysis during both episodes showed normal glucose and protein, and elevated white blood cell count. Cytology was negative for malignancy. Cerebrospinal fluid was positive for neuromyelitis optica immunoglobulin G antibody anti-aquaporin-4, and autoimmune myelopathy panel was positive for myelin oligodendrocyte glycoprotein antibody. The patient had significant clinical and radiographic improvement after completion of five cycles of plasmapheresis followed by intravenous immunoglobulin. She did not have recurrence of paraneoplastic syndrome with maintenance rituximab every 6 months and daily low-dose prednisone. She succumbed to progressive systemic metastatic disease 4.5 years after her breast cancer diagnosis. This case shows that these antibodies can occur concurrently and cause clinical features, such as both neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein antibody disease, in a patient with a singular type of cancer. We highlight the importance of testing for paraneoplastic etiology in cancer patients with radiographic menigoencephalomyelitis or meningitis with atypical symptoms of meningeal carcinomatosis and/or cerebrospinal fluid profile negative for leptomeningeal carcinomatosis.

Basic CSF parameters and MRZ reaction help in differentiating MOG antibody-associated autoimmune disease versus multiple sclerosis.

Myelin oligodendrocyte glycoprotein antibody-associated autoimmune disease (MOGAD) is a rare monophasic or relapsing inflammatory demyelinating disease of the central nervous system (CNS) and can mimic multiple sclerosis (MS). The variable availability of live cell-based MOG-antibody assays and difficulties in interpreting low-positive antibody titers can complicate diagnosis. Literature on cerebrospinal fluid (CSF) profiles in MOGAD versus MS, one of the most common differential diagnoses, is scarce. We here analyzed the value of basic CSF parameters to i) distinguish different clinical MOGAD manifestations and ii) differentiate MOGAD from MS. This is retrospective, single-center analysis of clinical and laboratory data of 30 adult MOGAD patients and 189 adult patients with relapsing-remitting multiple sclerosis. Basic CSF parameters included CSF white cell count (WCC) and differentiation, CSF/serum albumin ratio (QAlb), intrathecal production of immunoglobulins, CSF-restricted oligoclonal bands (OCB) and MRZ reaction, defined as intrathecal production of IgG reactive against at least 2 of the 3 viruses measles (M), rubella (R) and varicella zoster virus (Z). MOGAD patients with myelitis were more likely to have a pleocytosis, a QAlb elevation and a higher WCC than those with optic neuritis, and, after review and combined analysis of our and published cases, they also showed a higher frequency of intrathecal IgM synthesis. Compared to MS, MOGAD patients had significantly more frequently neutrophils in CSF and WCC>30/µl, QAlb>10×10-3, as well as higher mean QAlb values, but significantly less frequently CSF plasma cells and CSF-restricted OCB. A positive MRZ reaction was present in 35.4% of MS patients but absent in all MOGAD patients. Despite these associations, the only CSF parameters with relevant positive likelihood ratios (PLR) indicating MOGAD were QAlb>10×10-3 (PLR 12.60) and absence of CSF-restricted OCB (PLR 14.32), whereas the only relevant negative likelihood ratio (NLR) was absence of positive MRZ reaction (NLR 0.00). Basic CSF parameters vary considerably in different clinical phenotypes of MOGAD, but QAlb>10×10-3 and absence of CSF-restricted OCB are highly useful to differentiate MOGAD from MS. A positive MRZ reaction is confirmed as the strongest CSF rule-out parameter in MOGAD and could be useful to complement the recently proposed diagnostic criteria.

Numerical simulation of the effects of non-Newtonian property of the solvent on particle suspension rheology

To investigate the effects of the non-Newtonian properties of solvents on particle suspension rheology (non-Newtonian property and viscosity), we analyzed suspension flows with different solvent characteristics. We used the power-law model to express the non-Newtonian properties of solvents. The power-law index of the suspension was denoted as nsus. and that of the solvent as [Formula: see text] to distinguish between their non-Newtonian properties. Besides, to evaluate the non-Newtonian property of the particle suspension, we estimated its power-law index [Formula: see text] by comparing its particle velocity with the velocity profile of a power-law fluid. As a result, regardless of the different area fraction, the power-law index of the particle suspension was lower than that of the solvent for [Formula: see text], 0.8, and 1.0. On the other hand, for [Formula: see text] and [Formula: see text], the power-law index of the particle suspension was higher than that of the solvent. Regarding the particle position, particles for [Formula: see text] were more concentrated on the wall side than those of the suspensions with [Formula: see text], 0.8, and 1.0. Thus, this study confirms that a change in the non-Newtonian property of a suspension due to interactions between particles and power-law fluids is an essential factor when discussing the rheology of suspensions.

Melting Heat Transfer Rheology in Bioconvection Cross Nanofluid Flow Confined by a Symmetrical Cylindrical Channel with Thermal Conductivity and Swimming Microbes

Nonlinear thermal transport of non-Newtonian polymer flows is an increasingly important area in materials engineering. Motivated by new developments in this area which entail more refined and more mathematical frameworks, the present analysis investigates the boundary-layer approximation and heat transfer persuaded by a symmetrical cylindrical surface positioned horizontally. To simulate thermal relaxation impacts, the bioconvection Cross nanofluid flow Buongiorno model is deployed. The study examines the magnetic field effect applied to the nanofluid using the heat generated, as well as the melting phenomenon. The nonlinear effect of thermosolutal buoyant forces is incorporated into the proposed model. The novel mathematical equations include thermophoresis and Brownian diffusion effects. Via robust transformation techniques, the primitive resulting partial equations for momentum, energy, concentration, and motile living microorganisms are rendered into nonlinear ordinary equations with convective boundary postulates. An explicit and efficient numerical solver procedure in the Mathematica 11.0 programming platform is developed to engage the nonlinear equations. The effects of multiple governing parameters on dimensionless fluid profiles is examined using plotted visuals and tables. Finally, outcomes related to the surface drag force, heat, and mass transfer coefficients for different influential parameters are presented using 3D visuals.

Investigating the Effects of Wu's Slip and Smoluchowski's Slip on Hybrid TiO2/Ag Nanofluid Performance

The high thermal conductivity of Titanium dioxide (TiO2) makes it ideal for heat transfer, particularly in a solar collector. However, nanofluids containing dissolved TiO2 nanoparticles tend to agglomerate. Thus, nanoparticle silver (Ag) is used to stabilize the nanofluid. This study looks at a hybrid nanoparticle of TiO2 and Ag, which are put into water to make a hybrid nanofluid, over a stretching plate. The effects of Wu’s velocity slip and Smoluchowski’s temperature slip are taken into consideration. Xue's thermal conductivity model for the hybrid nanofluid is employed. The governing equations are transformed by applying the similarity transformation technique and solved semi-analytically using the Homotopy Analysis Method. The effect of the multiple slips on the fluid profiles is graphically displayed and discussed. Results illustrate that the temperature profile is diminished by 42% due to Smoluchowski's temperature slip parameter, while the velocity profile is reduced by more than 40% due to the first and second-order Wu's slip parameters. These findings are important for optimizing the performance of the hybrid nanofluids. For example, in the solar collector, where a better understanding of heat transfer fluid characteristics can improve the stability of the hybrid nanofluid and the efficiency of eco-friendly energy storage.