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  1. AU="Arnoldini, Markus"
  2. AU="Pratt, Andy C."
  3. AU="Silva, Jéssica Coutinho"
  4. AU=Li Qing
  5. AU="Anita Matić"
  6. AU="Mazzocchi, Giampiero"

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  1. Artikel ; Online: Experimental In Vitro Microfluidic Calorimetric Chip Data towards the Early Detection of Infection on Implant Surfaces.

    Vehusheia, Signe L K / Roman, Cosmin I / Arnoldini, Markus / Hierold, Christofer

    Sensors (Basel, Switzerland)

    2024  Band 24, Heft 3

    Abstract: Heat flux measurement shows potential for the early detection of infectious growth. Our research is motivated by the possibility of using heat flux sensors for the early detection of infection on aortic vascular grafts by measuring the onset of bacterial ...

    Abstract Heat flux measurement shows potential for the early detection of infectious growth. Our research is motivated by the possibility of using heat flux sensors for the early detection of infection on aortic vascular grafts by measuring the onset of bacterial growth. Applying heat flux measurement as an infectious marker on implant surfaces is yet to be experimentally explored. We have previously shown the measurement of the exponential growth curve of a bacterial population in a thermally stabilized laboratory environment. In this work, we further explore the limits of the microcalorimetric measurements via heat flux sensors in a microfluidic chip in a thermally fluctuating environment.
    Mesh-Begriff(e) Microfluidics ; Calorimetry ; Hot Temperature ; Prostheses and Implants ; Early Diagnosis
    Sprache Englisch
    Erscheinungsdatum 2024-02-05
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s24031019
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Buch ; Online ; Dissertation / Habilitation: Phenotypic heterogeneity in clonal bacterial populations

    Arnoldini, Markus

    on origins and adaptive functions

    2013  

    Verfasserangabe by Markus Arnoldini
    Sprache Englisch
    Umfang Online-Ressource (Online-Ressource (111 S)), Ill
    Verlag ETH
    Erscheinungsort Zürich
    Dokumenttyp Buch ; Online ; Dissertation / Habilitation
    Dissertation / Habilitation Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 21278--Zürich, 2127
    Datenquelle Ehemaliges Sondersammelgebiet Küsten- und Hochseefischerei

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  3. Artikel ; Online: Non-invasive monitoring of microbiota and host metabolism using secondary electrospray ionization-mass spectrometry.

    Lan, Jiayi / Greter, Giorgia / Streckenbach, Bettina / Wanner, Benedikt / Arnoldini, Markus / Zenobi, Renato / Slack, Emma

    Cell reports methods

    2023  Band 3, Heft 8, Seite(n) 100539

    Abstract: The metabolic "handshake" between the microbiota and its mammalian host is a complex, dynamic process with major influences on health. Dissecting the interaction between microbial species and metabolites found in host tissues has been a challenge due to ... ...

    Abstract The metabolic "handshake" between the microbiota and its mammalian host is a complex, dynamic process with major influences on health. Dissecting the interaction between microbial species and metabolites found in host tissues has been a challenge due to the requirement for invasive sampling. Here, we demonstrate that secondary electrospray ionization-mass spectrometry (SESI-MS) can be used to non-invasively monitor metabolic activity of the intestinal microbiome of a live, awake mouse. By comparing the headspace metabolome of individual gut bacterial culture with the "volatilome" (metabolites released to the atmosphere) of gnotobiotic mice, we demonstrate that the volatilome is characteristic of the dominant colonizing bacteria. Combining SESI-MS with feeding heavy-isotope-labeled microbiota-accessible sugars reveals the presence of microbial cross-feeding within the animal intestine. The microbiota is, therefore, a major contributor to the volatilome of a living animal, and it is possible to capture inter-species interaction within the gut microbiota using volatilome monitoring.
    Mesh-Begriff(e) Animals ; Mice ; Spectrometry, Mass, Electrospray Ionization ; Microbiota ; Gastrointestinal Microbiome ; Metabolome ; Atmosphere ; Mammals
    Sprache Englisch
    Erscheinungsdatum 2023-07-26
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2667-2375
    ISSN (online) 2667-2375
    DOI 10.1016/j.crmeth.2023.100539
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Enabling direct microcalorimetric measurement of metabolic activity and exothermic reactions onto microfluidic platforms via heat flux sensor integration.

    Vehusheia, Signe L K / Roman, Cosmin / Braissant, Olivier / Arnoldini, Markus / Hierold, Christofer

    Microsystems & nanoengineering

    2023  Band 9, Seite(n) 56

    Abstract: All biological processes use or produce heat. Traditional microcalorimeters have been utilized to study the metabolic heat output of living organisms and heat production of exothermic chemical processes. Current advances in microfabrication have made ... ...

    Abstract All biological processes use or produce heat. Traditional microcalorimeters have been utilized to study the metabolic heat output of living organisms and heat production of exothermic chemical processes. Current advances in microfabrication have made possible the miniaturization of commercial microcalorimeters, resulting in a few studies on the metabolic activity of cells at the microscale in microfluidic chips. Here we present a new, versatile, and robust microcalorimetric differential design based on the integration of heat flux sensors on top of microfluidic channels. We show the design, modeling, calibration, and experimental verification of this system by utilizing
    Sprache Englisch
    Erscheinungsdatum 2023-05-09
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2055-7434
    ISSN (online) 2055-7434
    DOI 10.1038/s41378-023-00525-z
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Nanoscale clustering by O-antigen-Secretory Immunoglobulin-A binding limits outer membrane diffusion by encaging individual

    Hockenberry, Alyson / Radiom, Milad / Arnoldini, Markus / Turgay, Yagmur / Dunne, Matthew / Adamcik, Jozef / Stadtmueller, Beth / Mezzenga, Raffaele / Ackermann, Martin / Slack, Emma

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Secreted immunoglobulins, predominantly SIgA, influence the colonization and pathogenicity of mucosal bacteria. While part of this effect can be explained by SIgA-mediated bacterial aggregation, we have an incomplete picture of how SIgA binding ... ...

    Abstract Secreted immunoglobulins, predominantly SIgA, influence the colonization and pathogenicity of mucosal bacteria. While part of this effect can be explained by SIgA-mediated bacterial aggregation, we have an incomplete picture of how SIgA binding influences cells independently of aggregation. Here we show that akin to microscale crosslinking of cells, SIgA targeting the
    Sprache Englisch
    Erscheinungsdatum 2023-07-14
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2023.07.13.548943
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Dissertation / Habilitation ; Online: Phenotypic heterogeneity in clonal bacterial populations

    Arnoldini, Markus

    on origins and adaptive functions

    2013  

    Schlagwörter KLONIEREN + KLONALKULTUREN + INZUCHT (BIOLOGISCHE TECHNIKEN) ; MIKROBIELLE KULTUREN (MIKROBIOLOGIE) ; PHÄNOTYP + PHÄNOTYPISCHE VARIABILITÄT + PHÄNOTYPISCHE VARIATION (GENETIK) ; SALMONELLA (MIKROBIOLOGIE) ; ZELLULÄRE ANTWORT AUF SIGNALE (BIOKOMMUNIKATION) ; ESCHERICHIA (MIKROBIOLOGIE) ; CLONING + CLONAL CULTURES + INBREEDING (BIOLOGICAL TECHNIQUES) ; MICROBIAL CULTURES (MICROBIOLOGY) ; PHENOTYPE + PHENOTYPIC VARIATION + PHENOTYPIC VARIABILITY (GENETICS) ; SALMONELLA (MICROBIOLOGY) ; CELLULAR RESPONSE TO SIGNALS (BIOCOMMUNICATION) ; ESCHERICHIA (MICROBIOLOGY) ; info:eu-repo/classification/ddc/570 ; Life sciences
    Sprache Englisch
    Verlag ETH
    Erscheinungsland ch
    Dokumenttyp Dissertation / Habilitation ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Smart investment of virus RNA testing resources to enhance Covid-19 mitigation.

    Gorji, Hossein / Arnoldini, Markus / Jenny, David F / Hardt, Wolf-Dietrich / Jenny, Patrick

    PloS one

    2021  Band 16, Heft 11, Seite(n) e0259018

    Abstract: A variety of mitigation strategies have been employed against the Covid-19 pandemic. Social distancing is still one of the main methods to reduce spread, but it entails a high toll on personal freedom and economic life. Alternative mitigation strategies ... ...

    Abstract A variety of mitigation strategies have been employed against the Covid-19 pandemic. Social distancing is still one of the main methods to reduce spread, but it entails a high toll on personal freedom and economic life. Alternative mitigation strategies that do not come with the same problems but are effective at preventing disease spread are therefore needed. Repetitive mass-testing using PCR assays for viral RNA has been suggested, but as a stand-alone strategy this would be prohibitively resource intensive. Here, we suggest a strategy that aims at targeting the limited resources available for viral RNA testing to subgroups that are more likely than the average population to yield a positive test result. Importantly, these pre-selected subgroups include symptom-free people. By testing everyone in these subgroups, in addition to symptomatic cases, large fractions of pre- and asymptomatic people can be identified, which is only possible by testing-based mitigation. We call this strategy smart testing (ST). In principle, pre-selected subgroups can be found in different ways, but for the purpose of this study we analyze a pre-selection procedure based on cheap and fast virus antigen tests. We quantify the potential reduction of the epidemic reproduction number by such a two-stage ST strategy. In addition to a scenario where such a strategy is available to the whole population, we analyze local applications, e.g. in a country, company, or school, where the tested subgroups are also in exchange with the untested population. Our results suggest that a two-stage ST strategy can be effective to curb pandemic spread, at costs that are clearly outweighed by the economic benefit. It is technically and logistically feasible to employ such a strategy, and our model predicts that it is even effective when applied only within local groups. We therefore recommend adding two-stage ST to the portfolio of available mitigation strategies, which allow easing social distancing measures without compromising public health.
    Mesh-Begriff(e) Basic Reproduction Number ; COVID-19/diagnosis ; COVID-19/prevention & control ; COVID-19/virology ; COVID-19 Serological Testing ; COVID-19 Testing ; Epidemiological Models ; Humans ; Mass Screening ; RNA, Viral/analysis ; Terminology as Topic
    Chemische Substanzen RNA, Viral
    Sprache Englisch
    Erscheinungsdatum 2021-11-30
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0259018
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: Dynamic modelling to identify mitigation strategies for the COVID-19 pandemic.

    Gorji, Hossein / Arnoldini, Markus / Jenny, David / Hardt, Wolf-Dietrich / Jenny, Patrick

    Swiss medical weekly

    2021  Band 151, Seite(n) w20487

    Abstract: Relevant pandemic-spread scenario simulations can provide guiding principles for containment and mitigation policies. We devised a compartmental model to predict the effectiveness of different mitigation strategies with a main focus on mass testing. The ... ...

    Abstract Relevant pandemic-spread scenario simulations can provide guiding principles for containment and mitigation policies. We devised a compartmental model to predict the effectiveness of different mitigation strategies with a main focus on mass testing. The model consists of a set of simple differential equations considering the population size, reported and unreported infections, reported and unreported recoveries, and the number of COVID-19-inflicted deaths. We assumed that COVID-19 survivors are immune (e.g., mutations are not considered) and that the virus is primarily passed on by asymptomatic and pre-symptomatic individuals. Moreover, the current version of the model does not account for age-dependent differences in the death rates, but considers higher mortality rates due to temporary shortage of intensive care units. The model parameters have been chosen in a plausible range based on information found in the literature, but it is easily adaptable, i.e., these values can be replaced by updated information any time. We compared infection rates, the total number of people getting infected and the number of deaths in different scenarios. Social distancing or mass testing can contain or drastically reduce the infections and the predicted number of deaths when compared with a situation without mitigation. We found that mass testing alone and subsequent isolation of detected cases can be an effective mitigation strategy, alone and in combination with social distancing. It is of high practical relevance that a relationship between testing frequency and the effective reproduction number of the virus can be provided. However, unless one assumes that the virus can be globally defeated by reducing the number of infected persons to zero, testing must be upheld, albeit at reduced intensity, to prevent subsequent waves of infection. The model suggests that testing strategies can be equally effective as social distancing, though at much lower economic costs. We discuss how our mathematical model may help to devise an optimal mix of mitigation strategies against the COVID-19 pandemic. Moreover, we quantify the theoretical limit of contact tracing and by how much the effect of testing is enhanced, if applied to sub-populations with increased exposure risk or prevalence.
    Mesh-Begriff(e) Asymptomatic Infections ; COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19 Testing ; Humans ; Mass Screening ; Models, Theoretical ; Pandemics/prevention & control ; Physical Distancing
    Sprache Englisch
    Erscheinungsdatum 2021-05-04
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2036179-8
    ISSN 1424-3997 ; 1424-7860
    ISSN (online) 1424-3997
    ISSN 1424-7860
    DOI 10.4414/smw.2021.20487
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: Bacterial growth, flow, and mixing shape human gut microbiota density and composition.

    Arnoldini, Markus / Cremer, Jonas / Hwa, Terence

    Gut microbes

    2018  Band 9, Heft 6, Seite(n) 559–566

    Abstract: The human gut microbiota is highly dynamic, and host physiology and diet exert major influences on its composition. In our recent study, we integrated new quantitative measurements on bacterial growth physiology with a reanalysis of published data on ... ...

    Abstract The human gut microbiota is highly dynamic, and host physiology and diet exert major influences on its composition. In our recent study, we integrated new quantitative measurements on bacterial growth physiology with a reanalysis of published data on human physiology to build a comprehensive modeling framework. This can generate predictions of how changes in different host factors influence microbiota composition. For instance, hydrodynamic forces in the colon, along with colonic water absorption that manifests as transit time, exert a major impact on microbiota density and composition. This can be mechanistically explained by their effect on colonic pH which directly affects microbiota competition for food. In this addendum, we describe the underlying analysis in more detail. In particular, we discuss the mixing dynamics of luminal content by wall contractions and its implications for bacterial growth and density, as well as the broader implications of our insights for the field of gut microbiota research.
    Mesh-Begriff(e) Bacteria/growth & development ; Bacterial Physiological Phenomena ; Colon/chemistry ; Colon/microbiology ; Colon/physiology ; Gastrointestinal Microbiome/physiology ; Gastrointestinal Tract/microbiology ; Gastrointestinal Tract/physiology ; Host Microbial Interactions ; Humans ; Models, Biological ; Peristalsis/physiology ; Rheology
    Sprache Englisch
    Erscheinungsdatum 2018-05-09
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1949-0984
    ISSN (online) 1949-0984
    DOI 10.1080/19490976.2018.1448741
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel ; Online: Growing, evolving and sticking in a flowing environment: understanding IgA interactions with bacteria in the gut.

    Hoces, Daniel / Arnoldini, Markus / Diard, Médéric / Loverdo, Claude / Slack, Emma

    Immunology

    2019  Band 159, Heft 1, Seite(n) 52–62

    Abstract: Immunology research in the last 50 years has made huge progress in understanding the mechanisms of anti-bacterial defense of deep, normally sterile, tissues such as blood, spleen and peripheral lymph nodes. In the intestine, with its dense commensal ... ...

    Abstract Immunology research in the last 50 years has made huge progress in understanding the mechanisms of anti-bacterial defense of deep, normally sterile, tissues such as blood, spleen and peripheral lymph nodes. In the intestine, with its dense commensal microbiota, it seems rare that this knowledge can be simply translated. Here we put forward the idea that perhaps it is not always the theory of immunology that is lacking to explain mucosal immunity, but rather that we have overlooked crucial parts of the mucosal immunological language required for its translation: namely intestinal and bacterial physiology. We will try to explain this in the context of intestinal secretory antibodies (mainly secretory IgA), which have been described to prevent, to alter, to not affect, or to promote colonization of the intestine and gut-draining lymphoid tissues, and where effector mechanisms have remained elusive. In fact, these apparently contradictory outcomes can be generated by combining the basic premises of bacterial agglutination with an understanding of bacterial growth (i.e. secretory IgA-driven enchained growth), fluid handling and bacterial competition in the gut lumen.
    Mesh-Begriff(e) Animals ; Bacteria/growth & development ; Bacteria/immunology ; Bacteria/metabolism ; Gastrointestinal Microbiome/immunology ; Host-Pathogen Interactions ; Humans ; Immunity, Mucosal ; Immunoglobulin A, Secretory/immunology ; Immunoglobulin A, Secretory/metabolism ; Intestinal Mucosa/immunology ; Intestinal Mucosa/microbiology ; Population Dynamics ; Signal Transduction
    Chemische Substanzen Immunoglobulin A, Secretory
    Sprache Englisch
    Erscheinungsdatum 2019-11-27
    Erscheinungsland England
    Dokumenttyp Journal Article ; Review
    ZDB-ID 80124-0
    ISSN 1365-2567 ; 0019-2805 ; 0953-4954
    ISSN (online) 1365-2567
    ISSN 0019-2805 ; 0953-4954
    DOI 10.1111/imm.13156
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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