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  • 1
    Publication Date: 1974-08-09
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 1974-08-09
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2020-10-15
    Description: Background Genetic analyses have identified many variants associated with the risk of inflammatory bowel disease (IBD) development. Among these variants, the ones located within the NOD2 gene have the highest odds ratio of all IBD genetic risk variants. Also, patients with Crohn’s disease (CD) have been shown to have an altered gut microbiome, which might be a reflection of inflammation itself or an effect of other parameters that contribute to the risk of the disease. Since NOD2 is an intracellular pattern recognition receptor that senses bacterial peptidoglycan in the cytosol and stimulates the host immune response (Al Nabhani et al., PLoS Pathog 13:e1006177, 2017), it is hypothesized that NOD2 variants represent perfect candidates for influencing host-microbiome interactions. We hypothesized that NOD2 risk variants affect the microbiome composition of healthy first degree relative (FDR) of CD patients and thus potentially contribute to an altered microbiome state before disease onset. Methods Based on this, we studied a large cohort of 1546 healthy FDR of CD patients and performed a focused analysis of the association of three major CD SNPs in the coding region of the NOD2 gene, which are known to confer a 15–40-fold increased risk of developing CD in homozygous or compound heterozygous individuals. Results Our results show that carriers of the C allele at rs2066845 was significantly associated with an increase in relative abundance in the fecal bacterial family Erysipelotrichaceae. Conclusions This result suggests that NOD2 polymorphisms contribute to fecal microbiome composition in asymptomatic individuals. Whether this modulation of the microbiome influences the future development of CD remains to be assessed.
    Electronic ISSN: 1471-2350
    Topics: Biology , Medicine
    Published by BioMed Central
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  • 4
    Publication Date: 1974-08-09
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 1974-04-19
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2023-03-10
    Keywords: alpha-Hexachlorocyclohexane; Circulation and Transfer of Pollutants in the North Sea; CO2BaseSleipner; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; gamma-Hexachlorocyclohexane (Lindane); Hexachlorobenzene; Latitude of event; Longitude of event; MULT; Multiple investigations; North Sea; para,para-Dichlorodiphenyldichloroethylene; Polychlorinated biphenyl; Skagerrak; South Atlantic Ocean; VA44; VA44_100/00; VA44_101/00; VA44_102/00; VA44_103/00; VA44_104/00; VA44_105/00; VA44_106/00; VA44_107/00; VA44_108/00; VA44_109/00; VA44_11/00; VA44_110/00; VA44_111/00; VA44_112/00; VA44_114/00; VA44_115/00; VA44_117/00; VA44_118/00; VA44_119/00; VA44_120/00; VA44_121/00; VA44_123/00; VA44_125/00; VA44_126/00; VA44_127/00; VA44_14/00; VA44_18/00; VA44_2/00; VA44_20/00; VA44_21/00; VA44_22/00; VA44_24/00; VA44_25/00; VA44_26/00; VA44_27/00; VA44_28/00; VA44_29/00; VA44_3/00; VA44_30/00; VA44_31/00; VA44_34/00; VA44_35/00; VA44_37/00; VA44_38/00; VA44_39/00; VA44_4/00; VA44_40/00; VA44_41/00; VA44_43/00; VA44_47/00; VA44_48/00; VA44_49/00; VA44_5/00; VA44_50/00; VA44_52/00; VA44_53/00; VA44_54/00; VA44_55/00; VA44_56/00; VA44_57/00; VA44_58/00; VA44_59/00; VA44_6/00; VA44_60/00; VA44_61/00; VA44_64/00; VA44_65/00; VA44_66/00; VA44_67/00; VA44_68/00; VA44_69/00; VA44_70/00; VA44_71/00; VA44_72/00; VA44_73/00; VA44_74/00; VA44_75/00; VA44_76/00; VA44_77/00; VA44_78/00; VA44_79/00; VA44_8/00; VA44_80/00; VA44_81/00; VA44_82/00; VA44_83/00; VA44_84/00; VA44_85/00; VA44_86/00; VA44_87/00; VA44_88/00; VA44_89/00; VA44_90/00; VA44_91/00; VA44_92/00; VA44_93/00; VA44_94/00; VA44_95/00; VA44_96/00; VA44_97/00; VA44_98/00; VA44_99/00; Valdivia (1961); ZISCH; ZISCH methods
    Type: Dataset
    Format: text/tab-separated-values, 848 data points
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  • 7
    Publication Date: 2023-05-12
    Description: The measurements were obtained during two North Sea wide STAR-shaped cruises during summer 1986 and winter 1987, which were performed to investigate the circulation induced transport and biologically induced pollutant transfer within the interdisciplinary research in the project "ZISCH - Zirkulation und Schadstoffumsatz in der Nordsee / Circulation and Contaminant Fluxes in the North Sea (1984-1989)". The inventory presents parameters measured on hydrodynamics, nutrient dynamics, ecosystem dynamics and pollutant dynamics in the pelagic and benthic realm. The research program had the objective of quantifying fluxes of major budgets, especially contaminants in the North Sea. In spring 1986, following the phytoplankton spring bloom, and in late winter 1987, at minimum primary production activity, the North Sea ecosystem was investigated on a station net covering the whole North Sea. The station net was shaped like a star. Sampling started in the centre, followed by the northwest section and moving counter clockwise around the North Sea following the residual currents. By this strategy, a time series was measured in the central North Sea and more synoptic data sets were obtained in the individual sections. Generally advection processes have to be considered when comparing the data from different stations. The entire sampling period lasted for more than six weeks in each cruise. Thus, a time-lag should be considered especially when comparing the data from the eastern and the western part of the central and northern North Sea, where samples were taken at the beginning and at the end of the campaign. The ZISCH investigations represented a qualitatively and quantitatively new approach to North Sea research in several respects. (1) The first simultaneous blanket coverage of all important biological, chemical and physical parameters in the entire North Sea ecosystem; (2) the first simultaneous measurements of major contaminants (metals and organohaline compounds) in the different ecosystem compartments; (3) simultaneous determinations of atmospheric inputs of momentum, energy and matter as important ecosystem boundary conditions; (4) performance of the complex measurement program during two seasons, namely the spring plankton bloom and the subsequent winter period of minimal biological activity; and (5) support of data analysis and interpretation by oceanographic and meteorological numerical models on the same scales.
    Keywords: Circulation and Transfer of Pollutants in the North Sea; MULT; Multiple investigations; North Sea; Skagerrak; South Atlantic Ocean; VA44; VA44_0/00; VA44_0/10; VA44_1/00; VA44_1/20; VA44_10/00; VA44_100/00; VA44_100/20; VA44_101/00; VA44_102/00; VA44_103/00; VA44_104/00; VA44_104/20; VA44_105/00; VA44_106/00; VA44_107/00; VA44_108/00; VA44_109/00; VA44_11/00; VA44_110/00; VA44_110/20; VA44_111/00; VA44_111/20; VA44_112/00; VA44_113/00; VA44_114/00; VA44_115/00; VA44_116/00; VA44_116/20; VA44_117/00; VA44_118/00; VA44_119/00; VA44_12/00; VA44_120/00; VA44_121/00; VA44_122/00; VA44_123/00; VA44_124/00; VA44_125/00; VA44_125/20; VA44_126/00; VA44_126/20; VA44_127/00; VA44_127/20; VA44_128/00; VA44_128/20; VA44_129/00; VA44_13/00; VA44_14/00; VA44_14/20; VA44_15/00; VA44_15/20; VA44_16/00; VA44_17/00; VA44_18/00; VA44_19/00; VA44_2/00; VA44_2/20; VA44_20/00; VA44_21/00; VA44_21/20; VA44_22/00; VA44_22/20; VA44_23/00; VA44_23/20; VA44_24/00; VA44_24/20; VA44_25/00; VA44_25/20; VA44_26/00; VA44_26/20; VA44_27/00; VA44_27/20; VA44_28/00; VA44_29/00; VA44_29/20; VA44_3/00; VA44_3/20; VA44_30/00; VA44_30/20; VA44_31/00; VA44_31/20; VA44_32/00; VA44_32/20; VA44_33/00; VA44_33/20; VA44_34/00; VA44_34/20; VA44_35/00; VA44_35/20; VA44_36/00; VA44_36/20; VA44_37/00; VA44_37/20; VA44_38/00; VA44_38/20; VA44_39/00; VA44_39/20; VA44_4/00; VA44_4/20; VA44_40/00; VA44_40/20; VA44_41/00; VA44_42/00; VA44_42/20; VA44_43/00; VA44_43/20; VA44_44/00; VA44_44/20; VA44_45/00; VA44_45/20; VA44_46/00; VA44_46/20; VA44_47/00; VA44_47/20; VA44_48/00; VA44_49/00; VA44_5/00; VA44_5/20; VA44_50/00; VA44_51/00; VA44_51/20; VA44_52/00; VA44_52/20; VA44_53/00; VA44_53/20; VA44_54/00; VA44_54/20; VA44_55/00; VA44_55/20; VA44_56/00; VA44_57/00; VA44_57/20; VA44_58/00; VA44_58/20; VA44_59/00; VA44_59/20; VA44_6/00; VA44_6/20; VA44_60/00; VA44_60/20; VA44_61/00; VA44_61/20; VA44_62/00; VA44_64/00; VA44_64/20; VA44_65/00; VA44_65/20; VA44_66/00; VA44_66/20; VA44_67/00; VA44_67/20; VA44_68/00; VA44_68/20; VA44_69/00; VA44_69/20; VA44_7/00; VA44_7/20; VA44_70/00; VA44_70/20; VA44_71/00; VA44_71/20; VA44_72/00; VA44_72/20; VA44_73/00; VA44_73/20; VA44_74/00; VA44_74/20; VA44_75/00; VA44_75/20; VA44_76/00; VA44_76/20; VA44_77/00; VA44_77/20; VA44_78/00; VA44_78/20; VA44_79/00; VA44_79/20; VA44_8/00; VA44_80/00; VA44_81/00; VA44_82/00; VA44_83/00; VA44_84/00; VA44_85/00; VA44_86/00; VA44_87/00; VA44_88/00; VA44_89/00; VA44_9/00; VA44_90/00; VA44_90/20; VA44_91/00; VA44_91/20; VA44_92/00; VA44_92/20; VA44_93/00; VA44_93/20; VA44_94/00; VA44_94/20; VA44_95/00; VA44_95/20; VA44_96/00; VA44_96/20; VA44_97/00; VA44_98/00; VA44_99/00; VA53; VA53_100-1; VA53_10-1; VA53_101-1; VA53_102-1; VA53_103-1; VA53_104-1; VA53_105-1; VA53_106-1; VA53_107-1; VA53_108-1; VA53_109-1; VA53_1-1; VA53_110-1; VA53_11-1; VA53_111-1; VA53_112-1; VA53_113-1; VA53_114-1; VA53_114-2; VA53_115-1; VA53_115-2; VA53_116-1; VA53_117-1; VA53_118-1; VA53_119-1; VA53_120-1; VA53_12-1; VA53_121-1; VA53_122-1; VA53_123-1; VA53_124-1; VA53_125-1; VA53_126-1; VA53_127-1; VA53_128-1; VA53_129-1; VA53_130-1; VA53_13-1; VA53_131-1; VA53_132-1; VA53_133-1; VA53_134-1; VA53_135-1; VA53_136-1; VA53_137-1; VA53_138-1; VA53_140-1; VA53_14-1; VA53_145-1; VA53_146-1; VA53_147-1; VA53_15-1; VA53_16-1; VA53_17-1; VA53_18-1; VA53_19-1; VA53_20-1; VA53_2-1; VA53_21-1; VA53_22-1; VA53_23-1; VA53_24-1; VA53_25-1; VA53_26-1; VA53_27-1; VA53_28-1; VA53_29-1; VA53_30-1; VA53_3-1; VA53_31-1; VA53_32-1; VA53_33-1; VA53_34-1; VA53_35-1; VA53_36-1; VA53_37-1; VA53_38-1; VA53_39-1; VA53_40-1; VA53_4-1; VA53_41-1; VA53_42-1; VA53_43-1; VA53_44-1; VA53_45-1; VA53_46-1; VA53_47-1; VA53_48-1; VA53_49-1; VA53_50-1; VA53_5-1; VA53_51-1; VA53_52-1; VA53_53-1; VA53_54-1; VA53_55-1; VA53_56-1; VA53_57-1; VA53_58-1; VA53_59-1; VA53_60-1; VA53_6-1; VA53_61-1; VA53_62-1; VA53_63-1; VA53_64-1; VA53_65-1; VA53_66-1; VA53_67-1; VA53_68-1; VA53_69-1; VA53_70-1; VA53_7-1; VA53_71-1; VA53_72-1; VA53_73-1; VA53_74-1; VA53_75-1; VA53_76-1; VA53_77-1; VA53_78-1; VA53_79-1; VA53_80-1; VA53_8-1; VA53_81-1; VA53_82-1; VA53_83-1; VA53_84-1; VA53_85-1; VA53_86-1; VA53_87-1; VA53_88-1; VA53_89-1; VA53_90-1; VA53_9-1; VA53_91-1; VA53_92-1; VA53_93-1; VA53_94-1; VA53_95-1; VA53_96-1; VA53_97-1; VA53_98-1; VA53_99-1; Valdivia (1961); ZISCH
    Type: Dataset
    Format: application/zip, 21 datasets
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  • 8
    Publication Date: 2023-02-07
    Keywords: alpha-Hexachlorocyclohexane; Circulation and Transfer of Pollutants in the North Sea; CO2BaseSleipner; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; gamma-Hexachlorocyclohexane (Lindane); Hexachlorobenzene; Latitude of event; Longitude of event; MULT; Multiple investigations; North Sea; para,para-Dichlorodiphenyldichloroethylene; Polychlorinated biphenyl; Skagerrak; VA53; VA53_104-1; VA53_109-1; VA53_113-1; VA53_124-1; VA53_126-1; VA53_137-1; VA53_145-1; VA53_24-1; VA53_25-1; VA53_26-1; VA53_27-1; VA53_28-1; VA53_30-1; VA53_3-1; VA53_31-1; VA53_35-1; VA53_36-1; VA53_39-1; VA53_40-1; VA53_46-1; VA53_47-1; VA53_48-1; VA53_50-1; VA53_51-1; VA53_52-1; VA53_55-1; VA53_57-1; VA53_58-1; VA53_59-1; VA53_6-1; VA53_62-1; VA53_63-1; VA53_64-1; VA53_65-1; VA53_66-1; VA53_67-1; VA53_68-1; VA53_70-1; VA53_71-1; VA53_72-1; VA53_73-1; VA53_74-1; VA53_75-1; VA53_76-1; VA53_77-1; VA53_78-1; VA53_79-1; VA53_80-1; VA53_81-1; VA53_82-1; VA53_83-1; VA53_84-1; VA53_85-1; VA53_87-1; VA53_88-1; VA53_89-1; VA53_91-1; VA53_95-1; VA53_96-1; Valdivia (1961); ZISCH; ZISCH methods
    Type: Dataset
    Format: text/tab-separated-values, 405 data points
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  • 9
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; ELEVATION; LATITUDE; LONGITUDE; Method comment; Number; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 1402 data points
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  • 10
    Publication Date: 2023-05-12
    Keywords: Area/locality; Depth, bottom/max; Depth, top/min; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of temperature data; Sample, optional label/labor no
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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