Publications by authors named "Dominik Ziehe"

Article Synopsis
  • * A study of 363 sepsis patients in Germany analyzed plasma samples on days 1 and 4, identifying 87 and 95 significantly different proteins related to survival outcomes, using statistical methods and machine learning for analysis.
  • * The research highlighted shifts in protein networks linked to blood coagulation and immune responses over time, suggesting potential new therapeutic targets and a focus on the innate immune system in treating sepsis.
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Studies have pointed to a decisive role of autoantibodies in the context of sepsis and severe Coronavirus disease 2019 (COVID-19), which itself often fulfills the criteria for sepsis, including dysregulated immune responses and organ dysfunction. To directly compare and further analyze the autoantibody profiles of sepsis patients with and without COVID-19, the luciferase immunoprecipitation systems (LIPS) assay was used to measure the levels of autoantibodies against a variety of clinically relevant cytokines, lung-associated proteins, other autoantigens, and antibodies against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In addition, cytokine titers were measured with the LEGENDplex™ Human Antivirus Response Panel.

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  • Sepsis involves intricate immune responses, and the protein GILZ is crucial in balancing inflammation and anti-inflammation; this study looks at how different forms of GILZ transcripts can be used to categorize patients and improve treatment effectiveness with glucocorticoids.
  • The research involved analyzing RNA from blood samples of 121 sepsis patients to measure GILZ transcript variants and to see their relation to mortality rates and glucocorticoid responses.
  • Findings indicate that high levels of GILZ transcript variant 1 (GILZ TV 1) significantly correlate with increased 30-day mortality in sepsis patients, especially the first eight days after onset, suggesting it can help identify patients who may not
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Purpose: There is evidence that lower activity of the RAF/MEK/ERK network is associated with positive outcomes in mild and moderate courses of COVID-19. The effect of this cascade in COVID-19 sepsis is still undetermined. Therefore, we tested the hypothesis that activity of the RAF/MEK/ERK network in COVID-19-induced sepsis is associated with an impact on 30-day survival.

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Background: Sepsis, a life-threatening condition caused by the dysregulated host response to infection, is a major global health concern. Understanding the impact of viral or bacterial pathogens in sepsis is crucial for improving patient outcomes. This study aimed to investigate the human cytomegalovirus (HCMV) seropositivity as a risk factor for development of sepsis in patients with COVID-19.

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The variability in mortality in sepsis could be a consequence of genetic variability. The glucocorticoid system and the intermediate TSC22D3 gene product-glucocorticoid-induced leucine zipper-are clinically relevant in sepsis, which is why this study aimed to clarify whether TSC22D3 gene polymorphisms contribute to the variance in sepsis mortality. Blood samples for DNA extraction were obtained from 455 patients with a sepsis diagnosis according to the Sepsis-III criteria and from 73 control subjects.

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Article Synopsis
  • Scientists looked at health data from very sick patients with a condition called sepsis to see if machine learning can help predict who might survive better than using regular methods.
  • They tested two machine learning methods using data from a big group of patients and found that these methods were much better at predicting survival than the standard way of checking changes in scores.
  • The results showed that using daily scores from the first week could really help doctors know who might be in trouble, which could lead to better patient care in the future.
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Sepsis is a common life-threatening disease caused by dysregulated immune response and metabolic acidosis which lead to organ failure. An abnormal expression of aquaporins plays an important role in organ failure. Additionally, genetic variants in aquaporins impact on the outcome in sepsis.

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Sepsis involves an immunological systemic response to a microbial pathogenic insult, leading to a cascade of interconnected biochemical, cellular, and organ-organ interaction networks. Potential drug targets can depict aquaporins, as they are involved in immunological processes. In immune cells, AQP3 and AQP9 are of special interest.

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Sepsis is a life-threatening condition caused by the dysregulated host response to infection. Novel therapeutic options are urgently needed and aquaporin inhibitors could suffice as aquaporin 5 () knockdown provided enhanced sepsis survival in a murine sepsis model. Potential AQP5 inhibitors provide sulfonamides and their derivatives.

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The quantity of aquaporin 5 protein in neutrophil granulocytes is associated with human sepsis-survival. The C-allele of the aquaporin ()-1364A/C polymorphism was shown to be associated with decreased AQP5 expression, which was shown to be relevant in this context leading towards improved outcomes in sepsis. To date, the underlying mechanism of the C-allele-leading to lower AQP5 expression-has been unknown.

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Clinical success of Toll-Like receptor-4 (TLR-4) antagonists in sepsis therapy has thus far been lacking. As inhibition of a receptor can only be useful if the receptor is active, stratification of patients with active TLR-4 would be desirable. Our aim was to establish an assay to quantify phosphorylated TLR-4 using the proximity ligation assay (PLA).

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The light-harvesting chlorophyll a/b binding proteins (LHCP) belong to a large family of membrane proteins. They form the antenna complexes of photosystem I and II and function in light absorption and transfer of the excitation energy to the photosystems. As nuclear-encoded proteins, the LHCPs are imported into the chloroplast and further targeted to their final destination-the thylakoid membrane.

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Chloroplasts derive from a prokaryotic symbiont that lost most of its genes during evolution. As a result, the great majority of chloroplast proteins are encoded in the nucleus and are posttranslationally imported into the organelle. The chloroplast genome encodes only a few proteins.

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The bacterial signal recognition particle (SRP) mediates the cotranslational targeting of membrane proteins and is a high affinity complex consisting of a SRP54 protein subunit (Ffh) and an SRP RNA. The chloroplast SRP (cpSRP) pathway has adapted throughout evolution to enable the posttranslational targeting of the light harvesting chlorophyll a/b binding proteins (LHCPs) to the thylakoid membrane. In spermatophytes (seed plants), the cpSRP lacks the SRP RNA and is instead formed by a high affinity interaction of the conserved 54-kD subunit (cpSRP54) with the chloroplast-specific cpSRP43 protein.

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In bacteria, membrane proteins are targeted cotranslationally via a signal recognition particle (SRP). During the evolution of higher plant chloroplasts from cyanobacteria, the SRP pathway underwent striking adaptations that enable the posttranslational transport of the abundant light-harvesting chlorophyll-a/b-binding proteins (LHCPs). The conserved 54-kDa SRP subunit in higher plant chloroplasts (cpSRP54) is not bound to an SRP RNA, an essential SRP component in bacteria, but forms a stable heterodimer with the chloroplast-specific cpSRP43.

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The protein targeting signal recognition particle (SRP) pathway in chloroplasts of higher plants has undergone dramatic evolutionary changes. It disposed of its RNA, which is an essential SRP component in bacteria, and uses a unique chloroplast-specific protein cpSRP43. Nevertheless, homologs of the conserved SRP54 and the SRP receptor, FtsY, are present in higher plant chloroplasts.

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