145 research outputs found
Acoustic and structural differences between musically portrayed subtypes of fear
Fear is a frequently studied emotion category in music and emotion research. However, research in music theory suggests that music can convey finer-grained subtypes of fear, such as terror and anxiety. Previous research on musically expressed emotions has neglected to investigate subtypes of fearful emotions. This study seeks to fill this gap in the literature. To that end, 99 participants rated the emotional impression of short excerpts of horror film music predicted to convey terror and anxiety, respectively. Then, the excerpts that most effectively conveyed these target emotions were analyzed descriptively and acoustically to demonstrate the sonic differences between musically conveyed terror and anxiety. The results support the hypothesis that music conveys terror and anxiety with markedly different musical structures and acoustic features. Terrifying music has a brighter, rougher, harsher timbre, is musically denser, and may be faster and louder than anxious music. Anxious music has a greater degree of loudness variability. Both types of fearful music tend towards minor modalities and are rhythmically unpredictable. These findings further support the application of emotional granularity in music and emotion research
Odonate species occupancy frequency distribution and abundance-occupancy relationship patterns in temporal and permanent water bodies in a subtropical area
This paper investigates species richness and species occupancy frequency distributions (SOFD) as well as patterns of abundance-occupancy relationship (SAOR) in Odonata (dragonflies and damselflies) in a subtropical area. A total of 82 species and 1983 individuals were noted from 73 permanent and temporal water bodies (lakes and ponds) in the Pampa biome in southern Brazil. Odonate species occupancy ranged from 1 to 54. There were few widely distributed generalist species and several specialist species with a restricted distribution. About 70% of the species occurred in <10% of the water bodies, yielding a surprisingly high number of rare species, often making up the majority of the communities. No difference in species richness was found between temporal and permanent water bodies. Both temporal and permanent water bodies had odonate assemblages that fitted best with the unimodal satellite SOFD pattern. It seems that unimodal satellite SOFD pattern frequently occurred in the aquatic habitats. The SAOR pattern was positive and did not differ between permanent and temporal water bodies. Our results are consistent with a niche-based model rather than a metapopulation dynamic model
Immunometabolic Markers in a Small Patient Cohort Undergoing Immunotherapy
Although the discovery of immune checkpoints was hailed as a major breakthrough in can cer therapy, generating a sufficient response to immunotherapy is still limited. Thus, the objective of
this exploratory, hypothesis-generating study was to identify potentially novel peripheral biomarkers
and discuss the possible predictive relevance of combining scarcely investigated metabolic and hor monal markers with immune subsets. Sixteen markers that differed significantly between responders
and non-responders were identified. In a further step, the correlation with progression-free survival
(PFS) and false discovery correction (Benjamini and Hochberg) revealed potential predictive roles
for the immune subset absolute lymphocyte count (rs = 0.51; p = 0.0224 *), absolute basophil count
(rs = 0.43; p = 0.04 *), PD-1+ monocytes (rs = −0.49; p = 0.04 *), hemoglobin (rs = 0.44; p = 0.04 *),
metabolic markers LDL (rs = 0.53; p = 0.0224 *), free androgen index (rs = 0.57; p = 0.0224 *) and CRP
(rs = −0.46; p = 0.0352 *). The absolute lymphocyte count, LDL and free androgen index were the
most significant individual markers, and combining the immune subsets with the metabolic markers
into a biomarker ratio enhanced correlation with PFS (rs = −0.74; p ≤ 0.0001 ****). In summary, in
addition to well-established markers, we identified PD-1+ monocytes and the free androgen index as
potentially novel peripheral markers in the context of immunotherapy. Furthermore, the combination
of immune subsets with metabolic and hormonal markers may have the potential to enhance the
power of future predictive scores and should, therefore, be investigated further in larger trials
Diagnóstico molecular de HPV em amostras cérvicovaginais de mulheres que realizam o papanicolaou
A infecção pelo Papilomavírus Humano (HPV) representa um importante problema de saúde pública por sua alta transmissibilidade e atuar no desenvolvimento de lesões cérvico-vaginais e câncer do colo de útero. Objetivo: realizar a pesquisa molecular do vírus HPV em amostras cérvico-vaginais de mulheres que realizam a coleta de papanicolau ou pelo Serviço Integrado de Saúde da Universidade de Santa Cruz do Sul e pelo Centro Materno Infantil no município de Santa Cruz do Sul-RS. Método: foi realizado um estudo transversal no período entre março a junho de 2014. O estudo baseou-se na coleta de dados clínicos epidemiológicos e na análise de amostras cérvico-vaginais de 62 mulheres, através da Reação em Cadeia da Polimerase (PCR) para presença do HPV, utilizando os primers consenso MY09/MY11; para a detecção dos genótipos 16 e 18, foram utilizados primers específicos. Resultados: o DNA-HPV foi encontrado em 2 mulheres participantes do estudo (3,2%). Destes casos positivos para HPV, uma participante apresentou HPV 16 de alto risco oncogênico, com alteração intra-epitelial de alto grau no exame citológico. Considerações finais: com o método molecular foi possível identificar o vírus HPV e o subtipo 16. Os métodos moleculares servem para auxiliar o método tradicional do papanicolau, identificar lesões pré-neoplásicas, infecções latentes ou subclínicas e relacionar o tipo viral envolvido na infecção
Combined Metabolic Targeting With Metformin and the NSAIDs Diflunisal and Diclofenac Induces Apoptosis in Acute Myeloid Leukemia Cells
The accelerated metabolism of tumor cells, inevitable for maintaining high proliferation rates, is an emerging target for tumor therapy. Increased glucose and lipid metabolism as well as mitochondrial activity have been shown in solid tumors but also in leukemic cells. As tumor cells are able to escape the blockade of one metabolic pathway by a compensatory increase in other pathways, treatment strategies simultaneously targeting metabolism at different sites are currently developed. However, the number of clinically applicable anti-metabolic drugs is still limited. Here, we analyzed the impact of the anti-diabetic drug metformin alone or in combination with two non-steroidal anti-inflammatory drugs (NSAIDs) diclofenac and diflunisal on acute myeloid leukemia (AML) cell lines and primary patient blasts. Diclofenac but not diflunisal reduced lactate secretion in different AML cell lines (THP-1, U937, and KG-1) and both drugs increased respiration at low concentrations. Despite these metabolic effects, both NSAIDs showed a limited effect on tumor cell proliferation and viability up to a concentration of 0.2 mM. In higher concentrations of 0.4–0.8 mM diflunisal alone exerted a clear effect on proliferation of AML cell lines and blocked respiration. Single treatment with the anti-diabetic drug metformin blocked mitochondrial respiration, but proliferation and viability were not affected. However, combining all three drugs exerted a strong cytostatic and cytotoxic effect on THP-1 cells. Comparable to the results obtained with THP-1 cells, the combination of all three drugs significantly reduced proliferation of primary leukemic blasts and induced apoptosis. Furthermore, NSAIDs supported the effect of low dose chemotherapy with cytarabine and reduced proliferation of primary AML blasts. Taken together we show that low concentrations of metformin and the two NSAIDs diclofenac and diflunisal exert a synergistic inhibitory effect on AML proliferation and induce apoptosis most likely by blocking tumor cell metabolism. Our results underline the feasibility of applying anti-metabolic drugs for AML therapy
Frailty assessment for COVID-19 follow-up: a prospective cohort study.
BACKGROUND
The Clinical Frailty Scale (CFS) is increasingly used for clinical decision making in acute care but little is known about frailty after COVID-19.
OBJECTIVES
To investigate frailty and the CFS for post-COVID-19 follow-up.
METHODS
This prospective multicentre cohort study included COVID-19 survivors aged ≥50 years presenting for a follow-up visit ≥3 months after the acute illness. Nine centres retrospectively collected pre-COVID-19 CFS and prospectively CFS at follow-up. Three centres completed the Frailty Index (FI), the short physical performance battery (SPPB), 30 s sit-to-stand test and handgrip strength measurements. Mixed effect logistic regression models accounting for repeated measurements and potential confounders were used to investigate factors associated with post-COVID-19 CFS. Criterion and construct validity were determined by correlating the CFS to other concurrently assessed frailty measurements and measures of respiratory impairment, respectively.
RESULTS
Of the 288 participants 65% were men, mean (SD) age was 65.1 (9) years. Median (IQR) CFS at follow-up was 3 (2-3), 21% were vulnerable or frail (CFS ≥4). The CFS was responsive to change, correlated with the FI (r=0.69, p<0.001), the SPPB score (r=-0.48, p<0.001) (criterion validity) and with the St George's Respiratory Questionnaire score (r=0.59, p<0.001), forced vital capacity %-predicted (r=-0.25, p<0.001), 6 min walk distance (r=-0.39, p<0.001) and modified Medical Research Council (mMRC) (r=0.59, p<0.001). Dyspnoea was significantly associated with a higher odds for vulnerability/frailty (per one mMRC adjusted OR 2.01 (95% CI 1.13 to 3.58), p=0.02).
CONCLUSIONS
The CFS significantly increases with COVID-19, and dyspnoea is an important risk factor for post-COVID-19 frailty and should be addressed thoroughly
Low-density lipoprotein balances T cell metabolism and enhances response to anti-PD-1 blockade in a HCT116 spheroid model
IntroductionThe discovery of immune checkpoints and the development of their specific inhibitors was acclaimed as a major breakthrough in cancer therapy. However, only a limited patient cohort shows sufficient response to therapy. Hence, there is a need for identifying new checkpoints and predictive biomarkers with the objective of overcoming immune escape and resistance to treatment. Having been associated with both, treatment response and failure, LDL seems to be a double-edged sword in anti-PD1 immunotherapy. Being embedded into complex metabolic conditions, the impact of LDL on distinct immune cells has not been sufficiently addressed. Revealing the effects of LDL on T cell performance in tumor immunity may enable individual treatment adjustments in order to enhance the response to routinely administered immunotherapies in different patient populations. The object of this work was to investigate the effect of LDL on T cell activation and tumor immunity in-vitro. MethodsExperiments were performed with different LDL dosages (LDLlow = 50 μg/ml and LDLhigh = 200 μg/ml) referring to medium control. T cell phenotype, cytokines and metabolism were analyzed. The functional relevance of our findings was studied in a HCT116 spheroid model in the context of anti-PD-1 blockade.ResultsThe key points of our findings showed that LDLhigh skewed the CD4+ T cell subset into a central memory-like phenotype, enhanced the expression of the co-stimulatory marker CD154 (CD40L) and significantly reduced secretion of IL-10. The exhaustion markers PD-1 and LAG-3 were downregulated on both T cell subsets and phenotypical changes were associated with a balanced T cell metabolism, in particular with a significant decrease of reactive oxygen species (ROS). T cell transfer into a HCT116 spheroid model resulted in a significant reduction of the spheroid viability in presence of an anti-PD-1 antibody combined with LDLhigh.DiscussionFurther research needs to be conducted to fully understand the impact of LDL on T cells in tumor immunity and moreover, to also unravel LDL effects on other lymphocytes and myeloid cells for improving anti-PD-1 immunotherapy. The reason for improved response might be a resilient, less exhausted phenotype with balanced ROS levels
Antithymocyte Globulin Induces a Tolerogenic Phenotype in Human Dendritic Cells
Antithymocyte globulin (ATG) is used in the prevention of graft-versus-host disease during allogeneic hematopoietic stem cell transplantation. It is generally accepted that ATG mediates its immunosuppressive effect primarily via depletion of T cells. Here, we analyzed the impact of ATG-Fresenius (now Grafalon (R)) on human monocyte-derived dendritic cells (DC). ATG induced a semi-mature phenotype in DC with significantly reduced expression of CD14, increased expression of HLA-DR, and intermediate expression of CD54, CD80, CD83, and CD86. ATG-DC showed an increase in IL-10 secretion but no IL-12 production. In line with this tolerogenic phenotype, ATG caused a significant induction of indoleamine 2,3-dioxygenase expression and a concomitant increase in levels of tryptophan metabolites in the supernatants of DC. Further, ATG-DC did not induce the proliferation of allogeneic T cells in a mixed lymphocyte reaction but actively suppressed the T cell proliferation induced by mature DC. These data suggest that besides its well-known effect on T cells, ATG modulates the phenotype of DC in a tolerogenic way, which might constitute an essential part of its immunosuppressive action in vivo
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