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Book ; Online ; Thesis: Effect of whole birch pollen grains on human bronchial epithelial at the air-liquid interface, with or without pre-exposure to fresh combustion aerosol

Gürth Candeias, Joana Rita Verfasser] / [Buters, Jeroen T. M. [Akademischer Betreuer] / Durner, Jörg Gutachter] / [Buters, Jeroen T. M. [Gutachter]

2022

Author's details	Joana Rita Gürth Candeias ; Gutachter: Jörg Durner, Jeroen Buters ; Betreuer: Jeroen Buters
Keywords	Medizin, Gesundheit ; Medicine, Health
Subject code	sg610
Language	English
Publisher	Universitätsbibliothek der TU München
Publishing place	München
Document type	Book ; Online ; Thesis
Database	Digital theses on the web

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Book ; Online ; Thesis: Investigation of the impact of three different reference particulate matter on human monocytic THP-1 and lung epithelial A549 cells

Cao, Xin [Verfasser] / Zimmermann, Ralf [Gutachter] / Buters, Jeroen T. M. [Gutachter]

2021

Author's details	Xin Cao ; Gutachter: Ralf Zimmermann, Jeroen T. M. Buters
Keywords	Medizin, Gesundheit ; Medicine, Health
Subject code	sg610
Language	English
Publisher	Universität Rostock
Publishing place	Rostock
Document type	Book ; Online ; Thesis
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Article: Mixture Analyses of Air-sampled Pollen Extracts Can Accurately Differentiate Pollen Taxa.

Klimczak, Leszek J / von Eschenbach, Cordula Ebner / Thompson, Peter M / Buters, Jeroen T M / Mueller, Geoffrey A

Atmospheric environment (Oxford, England : 1994)

2020 Volume 243

Abstract: The daily pollen forecast provides crucial information for allergic patients to avoid exposure to specific pollen. Pollen counts are typically measured with air samplers and analyzed with microscopy by trained experts. In contrast, this study evaluated ... ...

Abstract	The daily pollen forecast provides crucial information for allergic patients to avoid exposure to specific pollen. Pollen counts are typically measured with air samplers and analyzed with microscopy by trained experts. In contrast, this study evaluated the effectiveness of identifying the component pollens using the metabolites extracted from an air-sampled pollen mixture. Ambient air-sampled pollen from Munich in 2016 and 2017 was visually identified from reference pollens and extracts were prepared. The extracts were lyophilized, rehydrated in optimal NMR buffers, and filtered to remove large proteins. NMR spectra were analyzed for pollen associated metabolites. Regression and decision-tree based algorithms using the concentration of metabolites, calculated from the NMR spectra outperformed algorithms using the NMR spectra themselves as input data for pollen identification. Categorical prediction algorithms trained for low, medium, high, and very high pollen count groups had accuracies of 74% for the tree, 82% for the grass, and 93% for the weed pollen count. Deep learning models using convolutional neural networks performed better than regression models using NMR spectral input, and were the overall best method in terms of relative error and classification accuracy (86% for tree, 89% for grass, and 93% for weed pollen count). This study demonstrates that NMR spectra of air-sampled pollen extracts can be used in an automated fashion to provide taxa and type-specific measures of the daily pollen count.
Language	English
Publishing date	2020-07-06
Publishing country	England
Document type	Journal Article
ZDB-ID	216368-8
ISSN	1352-2310 ; 0004-6981
ISSN	1352-2310 ; 0004-6981
DOI	10.1016/j.atmosenv.2020.117746
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Article: Mixture analyses of air-sampled pollen extracts can accurately differentiate pollen taxa

Klimczak, Leszek J / Ebner von Eschenbach, Cordula / Thompson, Peter M / Buters, Jeroen T.M / Mueller, Geoffrey A

Atmospheric environment. 2020 Dec. 15, v. 243

2020

Abstract	The daily pollen forecast provides crucial information for allergic patients to avoid exposure to specific pollen. Pollen counts are typically measured with air samplers and analyzed with microscopy by trained experts. In contrast, this study evaluated the effectiveness of identifying the component pollens using the metabolites extracted from an air-sampled pollen mixture. Ambient air-sampled pollen from Munich in 2016 and 2017 was visually identified from reference pollens and extracts were prepared. The extracts were lyophilized, rehydrated in optimal NMR buffers, and filtered to remove large proteins. NMR spectra were analyzed for pollen associated metabolites. Regression and decision-tree based algorithms using the concentration of metabolites calculated from the NMR spectra outperformed algorithms using the NMR spectra themselves as input data for pollen identification. Categorical prediction algorithms trained for low, medium, high, and very high pollen count groups had accuracies of 74% for the tree, 82% for the grass, and 93% for the weed pollen count. Deep learning models using convolutional neural networks performed better than regression models using NMR spectral input, and were the overall best method in terms of relative error and classification accuracy (86% for tree, 89% for grass, and 93% for weed pollen count). This study demonstrates that NMR spectra of air-sampled pollen extracts can be used in an automated fashion to provide taxa and type-specific measures of the daily pollen count.
Keywords	air ; automation ; decision support systems ; environment ; freeze drying ; grasses ; metabolites ; microscopy ; pollen ; prediction ; trees ; weeds
Language	English
Dates of publication	2020-1215
Publishing place	Elsevier Ltd
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	216368-8
ISSN	0004-6981 ; 1352-2310
ISSN	0004-6981 ; 1352-2310
DOI	10.1016/j.atmosenv.2020.117746
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Article ; Online: Phl p 5 levels more strongly associated than grass pollen counts with allergic respiratory health.

Fuertes, Elaine / Jarvis, Debbie / Lam, Holly / Davies, Bethan / Fecht, Daniela / Candeias, Joana / Schmidt-Weber, Carsten B / Douiri, Abdel / Slovick, Anna / Scala, Enrico / Smith, Thomas E L / Shamji, Mohamed / Buters, Jeroen T M / Cecchi, Lorenzo / Till, Stephen J

The Journal of allergy and clinical immunology

2023 Volume 153, Issue 3, Page(s) 844–851

Abstract: Background: Studies have linked daily pollen counts to respiratory allergic health outcomes, but few have considered allergen levels.: Objective: We sought to assess associations of grass pollen counts and grass allergen levels (Phl p 5) with ... ...

Abstract	Background: Studies have linked daily pollen counts to respiratory allergic health outcomes, but few have considered allergen levels. Objective: We sought to assess associations of grass pollen counts and grass allergen levels (Phl p 5) with respiratory allergic health symptoms in a panel of 93 adults with moderate-severe allergic rhinitis and daily asthma hospital admissions in London, United Kingdom. Methods: Daily symptom and medication scores were collected from adult participants in an allergy clinical trial. Daily counts of asthma hospital admissions in the London general population were obtained from Hospital Episode Statistics data. Daily grass pollen counts were measured using a volumetric air sampler, and novel Phl p 5 levels were measured using a ChemVol High Volume Cascade Impactor and ELISA analyses (May through August). Associations between the 2 pollen variables and daily health scores (dichotomized based on within-person 75th percentiles) were assessed using generalized estimating equation logistic models and with asthma hospital admissions using Poisson regression models. Results: Daily pollen counts and Phl p 5 levels were each positively associated with reporting a high combined symptom and medication health score in separate models. However, in mutually adjusted models including terms for both pollen counts and Phl p 5 levels, associations remained for Phl p 5 levels (odds ratio [95% CI]: 1.18 [1.12, 1.24]), but were heavily attenuated for pollen counts (odds ratio [95% CI]: 1.00 [0.93, 1.07]). Similar trends were not observed for asthma hospital admissions in London. Conclusions: Grass allergen (Phl p 5) levels are more consistently associated with allergic respiratory symptoms than grass pollen counts.
MeSH term(s)	Adult ; Humans ; Rhinitis, Allergic, Seasonal/epidemiology ; Pollen ; Allergens ; Poaceae ; Asthma/epidemiology ; Rhinitis, Allergic ; Plant Proteins/analysis
Chemical Substances	Allergens ; Plant Proteins
Language	English
Publishing date	2023-11-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	121011-7
ISSN	1097-6825 ; 1085-8725 ; 0091-6749
ISSN (online)	1097-6825 ; 1085-8725
ISSN	0091-6749
DOI	10.1016/j.jaci.2023.11.011
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Article: An operational robotic pollen monitoring network based on automatic image recognition

Oteros, Jose / Weber, Alisa / Kutzora, Suzanne / Rojo, Jesús / Heinze, Stefanie / Herr, Caroline / Gebauer, Robert / Schmidt-Weber, Carsten B / Buters, Jeroen T.M

Environmental research. 2020 Dec., v. 191

2020

Abstract: There is high demand for online, real-time and high-quality pollen data. To the moment pollen monitoring has been done manually by highly specialized experts.Here we evaluate the electronic Pollen Information Network (ePIN) comprising 8 automatic BAA500 ... ...

Abstract	There is high demand for online, real-time and high-quality pollen data. To the moment pollen monitoring has been done manually by highly specialized experts.Here we evaluate the electronic Pollen Information Network (ePIN) comprising 8 automatic BAA500 pollen monitors in Bavaria, Germany. Automatic BAA500 and manual Hirst-type pollen traps were run simultaneously at the same locations for one pollen season. Classifications by BAA500 were checked by experts in pollen identification, which is traditionally considered to be the “gold standard” for pollen monitoring.BAA500 had a multiclass accuracy of over 90%. Correct identification of any individual pollen taxa was always >85%, except for Populus (73%) and Alnus (64%). The BAA500 was more precise than the manual method, with less discrepancies between determinations by pairs of automatic pollen monitors than between pairs of humans. The BAA500 was online for 97% of the time. There was a significant correlation of 0.84 between airborne pollen concentrations from the BAA500 and Hirst-type pollen traps. Due to the lack of calibration samples it is unknown which instrument gives the true concentration.The automatic BAA500 network delivered pollen data rapidly (3 h delay with real-time), reliably and online. We consider the ability to retrospectively check the accuracy of the reported classification essential for any automatic system.
Keywords	Alnus ; Populus ; information networks ; pollen ; pollen season ; research ; robots ; Germany
Language	English
Dates of publication	2020-12
Publishing place	Elsevier Inc.
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2020.110031
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Article: Effective strategies for tumors affecting chemopreventive metabolism.

Buters, Jeroen T M

Clinical cancer research : an official journal of the American Association for Cancer Research

2006 Volume 12, Issue 24, Page(s) 7203–7204

MeSH term(s)	Antineoplastic Agents/pharmacokinetics ; Antineoplastic Agents/therapeutic use ; Chemoprevention/methods ; Cytochrome P-450 CYP3A ; Cytochrome P-450 Enzyme System/metabolism ; Drug Resistance, Neoplasm/physiology ; Gene Expression Regulation, Neoplastic/drug effects ; Humans ; Inactivation, Metabolic/physiology ; Neoplasm Proteins/metabolism ; Neoplasms/drug therapy ; Neoplasms/metabolism
Chemical Substances	Antineoplastic Agents ; Neoplasm Proteins ; Cytochrome P-450 Enzyme System (9035-51-2) ; Cytochrome P-450 CYP3A (EC 1.14.14.1) ; CYP3A4 protein, human (EC 1.14.14.55)
Language	English
Publishing date	2006-12-18
Publishing country	United States
Document type	Editorial ; Comment
ZDB-ID	1225457-5
ISSN	1557-3265 ; 1078-0432
ISSN (online)	1557-3265
ISSN	1078-0432
DOI	10.1158/1078-0432.CCR-06-1752
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Article ; Online: An operational robotic pollen monitoring network based on automatic image recognition.

Oteros, Jose / Weber, Alisa / Kutzora, Suzanne / Rojo, Jesús / Heinze, Stefanie / Herr, Caroline / Gebauer, Robert / Schmidt-Weber, Carsten B / Buters, Jeroen T M

Environmental research

2020 Volume 191, Page(s) 110031

Abstract: There is high demand for online, real-time and high-quality pollen data. To the moment pollen monitoring has been done manually by highly specialized experts. Here we evaluate the electronic Pollen Information Network (ePIN) comprising 8 automatic BAA500 ...

Abstract	There is high demand for online, real-time and high-quality pollen data. To the moment pollen monitoring has been done manually by highly specialized experts. Here we evaluate the electronic Pollen Information Network (ePIN) comprising 8 automatic BAA500 pollen monitors in Bavaria, Germany. Automatic BAA500 and manual Hirst-type pollen traps were run simultaneously at the same locations for one pollen season. Classifications by BAA500 were checked by experts in pollen identification, which is traditionally considered to be the "gold standard" for pollen monitoring. BAA500 had a multiclass accuracy of over 90%. Correct identification of any individual pollen taxa was always >85%, except for Populus (73%) and Alnus (64%). The BAA500 was more precise than the manual method, with less discrepancies between determinations by pairs of automatic pollen monitors than between pairs of humans. The BAA500 was online for 97% of the time. There was a significant correlation of 0.84 between airborne pollen concentrations from the BAA500 and Hirst-type pollen traps. Due to the lack of calibration samples it is unknown which instrument gives the true concentration. The automatic BAA500 network delivered pollen data rapidly (3 h delay with real-time), reliably and online. We consider the ability to retrospectively check the accuracy of the reported classification essential for any automatic system.
MeSH term(s)	Allergens ; Environmental Monitoring ; Germany ; Humans ; Pollen ; Retrospective Studies ; Robotic Surgical Procedures ; Seasons
Chemical Substances	Allergens
Language	English
Publishing date	2020-08-16
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2020.110031
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Article ; Online: Building an automatic pollen monitoring network (ePIN): Selection of optimal sites by clustering pollen stations.

Oteros, Jose / Sofiev, Mikhail / Smith, Matt / Clot, Bernard / Damialis, Athanasios / Prank, Marje / Werchan, Matthias / Wachter, Reinhard / Weber, Alisa / Kutzora, Susanne / Heinze, Stefanie / Herr, Caroline E W / Menzel, Annette / Bergmann, Karl-Christian / Traidl-Hoffmann, Claudia / Schmidt-Weber, Carsten B / Buters, Jeroen T M

The Science of the total environment

2019 Volume 688, Page(s) 1263–1274

Abstract: Airborne pollen is a recognized biological indicator and its monitoring has multiple uses such as providing a tool for allergy diagnosis and prevention. There is a knowledge gap related to the distribution of pollen traps needed to achieve representative ...

Abstract	Airborne pollen is a recognized biological indicator and its monitoring has multiple uses such as providing a tool for allergy diagnosis and prevention. There is a knowledge gap related to the distribution of pollen traps needed to achieve representative biomonitoring in a region. The aim of this manuscript is to suggest a method for setting up a pollen network (monitoring method, monitoring conditions, number and location of samplers etc.). As a case study, we describe the distribution of pollen across Bavaria and the design of the Bavarian pollen monitoring network (ePIN), the first operational automatic pollen network worldwide. We established and ran a dense pollen monitoring network of 27 manual Hirst-type pollen traps across Bavaria, Germany, during 2015. Hierarchical cluster analysis of the data was then performed to select the locations for the sites of the final pollen monitoring network. According to our method, Bavaria can be clustered into three large pollen regions with eight zones. Within each zone, pollen diversity and distribution among different locations does not vary significantly. Based on the pollen zones, we opted to place one automatic monitoring station per zone resulting in the ePIN network, serving 13 million inhabitants. The described method defines stations representative for a homogeneous aeropalynologically region, which reduces redundancy within the network and subsequent costs (in the study case from 27 to 8 locations). Following this method, resources in pollen monitoring networks can be optimized and allergic citizens can then be informed in a timely and effective way, even in larger geographical areas.
MeSH term(s)	Air Pollutants/analysis ; Air Pollution ; Allergens/analysis ; Environmental Monitoring ; Germany ; Pollen
Chemical Substances	Air Pollutants ; Allergens
Language	English
Publishing date	2019-06-11
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2019.06.131
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Article ; Online: rAAV2-mediated restoration of LEKTI in LEKTI-deficient cells from Netherton patients.

Roedl, Daniela / Oji, Vinzenz / Buters, Jeroen T M / Behrendt, Heidrun / Braun-Falco, Markus

Journal of dermatological science

2011 Volume 61, Issue 3, Page(s) 194–198

Abstract: Background: Netherton syndrome (NS, MIM 256500) is a potential live threatening autosomal-recessive skin disorder clinically characterized by the trias of congenital erythroderma, hair shaft anomalies and atopic diathesis. It is caused by mutations in ... ...

Abstract	Background: Netherton syndrome (NS, MIM 256500) is a potential live threatening autosomal-recessive skin disorder clinically characterized by the trias of congenital erythroderma, hair shaft anomalies and atopic diathesis. It is caused by mutations in the gene SPINK5 resulting in a deficiency of its processed protein named lympho-epithelial Kazal-type related inhibitor (LEKTI). LEKTI controls the activity of several serine proteases in the skin that are involved in terminal differentiation. Loss of LEKTI results in protease hyperactivity, increased degradation of intercellular junctions, reduced stratum corneum adhesion and impaired skin barrier function. Today NS can only be treated symptomatically. Objective: Does gene transfer offer a therapeutic option for NS in the future? Methods: A recombinant adeno-associated virus type 2 vector was constructed containing the full length cDNA (rAAV2/C-SPINK5) of functional human LEKTI. Infectious virus particles were used for transfection of LEKTI-deficient-keratinocytes of NS patients in vitro. Results: Gene transfer of SPINK5 in NS-keratinocytes led to a five-fold increase in mRNA expression of SPINK5 reaching almost 75% of normal value. The functionality of the expressed LEKTI was proven in a hydrolytic activity assay demonstrating that the activity of LEKTI after gene transfer increased closely to the level seen in keratinocytes of healthy individuals. Conclusion: The results provide first evidence that gene transfer of SPINK5 results in increased LEKTI activity in NS-keratinocytes, thus offering a rational to further pursue such a gene therapy approach for NS.
MeSH term(s)	Adenoviridae/genetics ; Adolescent ; Biopsy ; Cells, Cultured ; Child ; DNA, Complementary/genetics ; Female ; Gene Transfer Techniques ; Humans ; Infant ; Keratinocytes/metabolism ; Keratinocytes/pathology ; Male ; Mutation/genetics ; Netherton Syndrome/metabolism ; Netherton Syndrome/pathology ; Proteinase Inhibitory Proteins, Secretory/deficiency ; Proteinase Inhibitory Proteins, Secretory/genetics ; Proteinase Inhibitory Proteins, Secretory/metabolism ; Serine Peptidase Inhibitor Kazal-Type 5 ; Transfection
Chemical Substances	DNA, Complementary ; Proteinase Inhibitory Proteins, Secretory ; SPINK5 protein, human ; Serine Peptidase Inhibitor Kazal-Type 5
Language	English
Publishing date	2011-03
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1024446-3
ISSN	1873-569X ; 0923-1811
ISSN (online)	1873-569X
ISSN	0923-1811
DOI	10.1016/j.jdermsci.2010.12.004
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