@article{SathyanarayanaLeeWrightetal.2018,
  author    = {Sathyanarayana, Vijaya and Lee, Beth and Wright, Neville B. and Santos, Rui and Bonney, Denise and Wynn, Robert and Patel, Leena and Chandler, Kate and Cheesman, Ed and Schindler, Detlev and Webb, Nicholas J. A. and Meyer, Stefan},
  title     = {Patterns and frequency of renal abnormalities in Fanconi anaemia: implications for long-term management},
  series = {Pediatric Nephrology},
  volume    = {33},
  journal   = {Pediatric Nephrology},
  number    = {9},
  doi       = {10.1007/s00467-018-3952-0},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-227400},
  pages     = {1547-1551},
  year      = {2018},
  abstract  = {Fanconi anaemia (FA) is an inherited disease with bone marrow failure, variable congenital and developmental abnormalities, and cancer predisposition. With improved survival, non-haematological manifestations of FA become increasingly important for long-term management. While renal abnormalities are recognized, detailed data on patterns and frequency and implications for long-term management are sparse. We reviewed clinical course and imaging findings of FA patients with respect to renal complications in our centre over a 25-year period to formulate some practical suggestions for guidelines for management of renal problems associated with FA. Thirty patients including four sibling sets were reviewed. On imaging, 14 had evidence of anatomical abnormalities of the kidneys. Two cases with severe phenotype, including renal abnormalities, had chronic kidney disease (CKD) at diagnosis. Haematopoietic stem cell transplantation was complicated by significant acute kidney injury (AKI) in three cases. In three patients, there was CKD at long-term follow-up. All patients had normal blood pressure. Evaluation of renal anatomy with ultrasound imaging is important at diagnostic workup of FA. While CKD is uncommon at diagnosis, our data suggests that the incidence of CKD increases with age, in particular after haematopoietic stem cell transplantation. Monitoring of renal function is essential for management of FA. Based on these long-term clinical observations, we formulate some practical guidelines for assessment and management of renal abnormalities in FA.},
  language  = {en}
}
@article{EvdokimovFrankKlitschetal.2019,
  author    = {Evdokimov, Dimitar and Frank, Johanna and Klitsch, Alexander and Unterecker, Stefan and Warrings, Bodo and Serra, Jordi and Papagianni, Aikaterini and Saffer, Nadine and Meyer zu Altenschildesche, Caren and Kampik, Daniel and Malik, Rayaz A. and Sommer, Claudia and {\"U}ceyler, Nurcan},
  title     = {Reduction of skin innervation is associated with a severe fibromyalgia phenotype},
  series = {Annals of Neurology},
  volume    = {86},
  journal   = {Annals of Neurology},
  number    = {4},
  doi       = {10.1002/ana.25565},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-206168},
  pages     = {504-516},
  year      = {2019},
  abstract  = {Objective: To assess patterns and impact of small nerve fiber dysfunction and pathology in patients with fibromyalgia syndrome (FMS). Methods: One hundred seventeen women with FMS underwent neurological examination, questionnaire assessment, neurophysiology assessment, and small fiber tests: skin punch biopsy, corneal confocal microscopy, microneurography, quantitative sensory testing including C-tactile afferents, and pain-related evoked potentials. Data were compared with those of women with major depressive disorder and chronic widespread pain (MD-P) and healthy women. Results: Intraepidermal nerve fiber density (IENFD) was reduced at different biopsy sites in 63\% of FMS patients (MDP: 10\%, controls: 18\%; p < 0.001 for each). We found 4 patterns of skin innervation in FMS: normal, distally reduced, proximally reduced, and both distally and proximally reduced (p < 0.01 for each compared to controls). Microneurography revealed initial activity-dependent acceleration of conduction velocity upon low frequencies of stimulation in 1A fibers, besides 1B fiber spontaneous activity and mechanical sensitization in FMS patients. FMS patients had elevated warm detection thresholds (p < 0.01), impaired C-tactile afferents (p < 0.05), and reduced amplitudes (p < 0.001) of pain-related evoked potentials compared to controls. Compared to FMS patients with normal skin innervation, those with generalized IENFD reduction had higher pain intensity and impairment due to pain, higher disease burden, more stabbing pain and paresthesias, and more anxiety (p < 0.05 for each). FMS patients with generalized IENFD reduction also had lower corneal nerve fiber density (p < 0.01) and length (p < 0.05). Interpretation: The extent of small fiber pathology is related to symptom severity in FMS. This knowledge may have implications for the diagnostic classification and treatment of patients with FMS.},
  language  = {en}
}
@article{ZieglerMeyerOtteetal.2022,
  author    = {Ziegler, Alice and Meyer, Hanna and Otte, Insa and Peters, Marcell K. and Appelhans, Tim and Behler, Christina and B{\"o}hning-Gaese, Katrin and Classen, Alice and Detsch, Florian and Deckert, J{\"u}rgen and Eardley, Connal D. and Ferger, Stefan W. and Fischer, Markus and Gebert, Friederike and Haas, Michael and Helbig-Bonitz, Maria and Hemp, Andreas and Hemp, Claudia and Kakengi, Victor and Mayr, Antonia V. and Ngereza, Christine and Reudenbach, Christoph and R{\"o}der, Juliane and Rutten, Gemma and Schellenberger Costa, David and Schleuning, Matthias and Ssymank, Axel and Steffan-Dewenter, Ingolf and Tardanico, Joseph and Tschapka, Marco and Vollst{\"a}dt, Maximilian G. R. and W{\"o}llauer, Stephan and Zhang, Jie and Brandl, Roland and Nauss, Thomas},
  title     = {Potential of airborne LiDAR derived vegetation structure for the prediction of animal species richness at Mount Kilimanjaro},
  series = {Remote Sensing},
  volume    = {14},
  journal   = {Remote Sensing},
  number    = {3},
  issn      = {2072-4292},
  doi       = {10.3390/rs14030786},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-262251},
  year      = {2022},
  abstract  = {The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity. Therefore, reliable estimates of the performance of monitoring techniques across taxa become important. Using a unique dataset, this study investigates the potential of airborne LiDAR-derived variables characterizing vegetation structure as predictors for animal species richness at the southern slopes of Mount Kilimanjaro. To disentangle the structural LiDAR information from co-factors related to elevational vegetation zones, LiDAR-based models were compared to the predictive power of elevation models. 17 taxa and 4 feeding guilds were modeled and the standardized study design allowed for a comparison across the assemblages. Results show that most taxa (14) and feeding guilds (3) can be predicted best by elevation with normalized RMSE values but only for three of those taxa and two of those feeding guilds the difference to other models is significant. Generally, modeling performances between different models vary only slightly for each assemblage. For the remaining, structural information at most showed little additional contribution to the performance. In summary, LiDAR observations can be used for animal species prediction. However, the effort and cost of aerial surveys are not always in proportion with the prediction quality, especially when the species distribution follows zonal patterns, and elevation information yields similar results.},
  language  = {en}
}
@article{DornelasAntaoMoyesetal.2018,
  author    = {Dornelas, Maria and Ant{\~a}o, Laura H. and Moyes, Faye and Bates, Amanda E. and Magurran, Anne E. and Adam, Dušan and Akhmetzhanova, Asem A. and Appeltans, Ward and Arcos, Jos{\´e} Manuel and Arnold, Haley and Ayyappan, Narayanan and Badihi, Gal and Baird, Andrew H. and Barbosa, Miguel and Barreto, Tiago Egydio and B{\"a}ssler, Claus and Bellgrove, Alecia and Belmaker, Jonathan and Benedetti-Cecchi, Lisandro and Bett, Brian J. and Bjorkman, Anne D. and Błażewicz, Magdalena and Blowes, Shane A. and Bloch, Christopher P. Bloch and Bonebrake, Timothy C. and Boyd, Susan and Bradford, Matt and Brooks, Andrew J. and Brown, James H. and Bruelheide, Helge and Budy, Phaedra and Carvalho, Fernando and Casta{\~n}eda-Moya, Edward and Chen, Chaolun Allen and Chamblee, John F. and Chase, Tory J. and Siegwart Collier, Laura and Collinge, Sharon K. and Condit, Richard and Cooper, Elisabeth J. and Cornelissen, J. Hans C. and Cotano, Unai and Crow, Shannan Kyle and Damasceno, Gabriella and Davies, Claire H. and Davis, Robert A. and Day, Frank P. and Degraer, Steven and Doherty, Tim S. and Dunn, Timothy E. and Durigan, Giselda and Duffy, J. Emmett and Edelist, Dor and Edgar, Graham J. and Elahi, Robin and Elmendorf, Sarah C. and Enemar, Anders and Ernest, S. K. Morgan and Escribano, Rub{\´e}n and Estiarte, Marc and Evans, Brian S. and Fan, Tung-Yung and Turini Farah, Fabiano and Loureiro Fernandes, Luiz and Farneda, F{\´a}bio Z. and Fidelis, Alessandra and Fitt, Robert and Fosaa, Anna Maria and Franco, Geraldo Antonio Daher Correa and Frank, Grace E. and Fraser, William R. and Garc{\´i}a, Hernando and Cazzolla Gatti, Roberto and Givan, Or and Gorgone-Barbosa, Elizabeth and Gould, William A. and Gries, Corinna and Grossman, Gary D. and Gutierr{\´e}z, Julio R. and Hale, Stephen and Harmon, Mark E. and Harte, John and Haskins, Gary and Henshaw, Donald L. and Hermanutz, Luise and Hidalgo, Pamela and Higuchi, Pedro and Hoey, Andrew and Van Hoey, Gert and Hofgaard, Annika and Holeck, Kristen and Hollister, Robert D. and Holmes, Richard and Hoogenboom, Mia and Hsieh, Chih-hao and Hubbell, Stephen P. and Huettmann, Falk and Huffard, Christine L. and Hurlbert, Allen H. and Ivanauskas, Nat{\´a}lia Macedo and Jan{\´i}k, David and Jandt, Ute and Jażdżewska, Anna and Johannessen, Tore and Johnstone, Jill and Jones, Julia and Jones, Faith A. M. and Kang, Jungwon and Kartawijaya, Tasrif and Keeley, Erin C. and Kelt, Douglas A. and Kinnear, Rebecca and Klanderud, Kari and Knutsen, Halvor and Koenig, Christopher C. and Kortz, Alessandra R. and Kr{\´a}l, Kamil and Kuhnz, Linda A. and Kuo, Chao-Yang and Kushner, David J. and Laguionie-Marchais, Claire and Lancaster, Lesley T. and Lee, Cheol Min and Lefcheck, Jonathan S. and L{\´e}vesque, Esther and Lightfoot, David and Lloret, Francisco and Lloyd, John D. and L{\´o}pez-Baucells, Adri{\`a} and Louzao, Maite and Madin, Joshua S. and Magn{\´u}sson, Borgþ{\´o}r and Malamud, Shahar and Matthews, Iain and McFarland, Kent P. and McGill, Brian and McKnight, Diane and McLarney, William O. and Meador, Jason and Meserve, Peter L. and Metcalfe, Daniel J. and Meyer, Christoph F. J. and Michelsen, Anders and Milchakova, Nataliya and Moens, Tom and Moland, Even and Moore, Jon and Moreira, Carolina Mathias and M{\"u}ller, J{\"o}rg and Murphy, Grace and Myers-Smith, Isla H. and Myster, Randall W. and Naumov, Andrew and Neat, Francis and Nelson, James A. and Nelson, Michael Paul and Newton, Stephen F. and Norden, Natalia and Oliver, Jeffrey C. and Olsen, Esben M. and Onipchenko, Vladimir G. and Pabis, Krzysztof and Pabst, Robert J. and Paquette, Alain and Pardede, Sinta and Paterson, David M. and P{\´e}lissier, Rapha{\"e}l and Pe{\~n}uelas, Josep and P{\´e}rez-Matus, Alejandro and Pizarro, Oscar and Pomati, Francesco and Post, Eric and Prins, Herbert H. T. and Priscu, John C. and Provoost, Pieter and Prudic, Kathleen L. and Pulliainen, Erkki and Ramesh, B. R. and Ramos, Olivia Mendivil and Rassweiler, Andrew and Rebelo, Jose Eduardo and Reed, Daniel C. and Reich, Peter B. and Remillard, Suzanne M. and Richardson, Anthony J. and Richardson, J. Paul and van Rijn, Itai and Rocha, Ricardo and Rivera-Monroy, Victor H. and Rixen, Christian and Robinson, Kevin P. and Rodrigues, Ricardo Ribeiro and de Cerqueira Rossa-Feres, Denise and Rudstam, Lars and Ruhl, Henry and Ruz, Catalina S. and Sampaio, Erica M. and Rybicki, Nancy and Rypel, Andrew and Sal, Sofia and Salgado, Beatriz and Santos, Flavio A. M. and Savassi-Coutinho, Ana Paula and Scanga, Sara and Schmidt, Jochen and Schooley, Robert and Setiawan, Fakhrizal and Shao, Kwang-Tsao and Shaver, Gaius R. and Sherman, Sally and Sherry, Thomas W. and Siciński, Jacek and Sievers, Caya and da Silva, Ana Carolina and da Silva, Fernando Rodrigues and Silveira, Fabio L. and Slingsby, Jasper and Smart, Tracey and Snell, Sara J. and Soudzilovskaia, Nadejda A. and Souza, Gabriel B. G. and Souza, Flaviana Maluf and Souza, Vin{\´i}cius Castro and Stallings, Christopher D. and Stanforth, Rowan and Stanley, Emily H. and Sterza, Jos{\´e} Mauro and Stevens, Maarten and Stuart-Smith, Rick and Suarez, Yzel Rondon and Supp, Sarah and Tamashiro, Jorge Yoshio and Tarigan, Sukmaraharja and Thiede, Gary P. and Thorn, Simon and Tolvanen, Anne and Toniato, Maria Teresa Zugliani and Totland, {\O}rjan and Twilley, Robert R. and Vaitkus, Gediminas and Valdivia, Nelson and Vallejo, Martha Isabel and Valone, Thomas J. and Van Colen, Carl and Vanaverbeke, Jan and Venturoli, Fabio and Verheye, Hans M. and Vianna, Marcelo and Vieira, Rui P. and Vrška, Tom{\´a}š and Vu, Con Quang and Vu, Lien Van and Waide, Robert B. and Waldock, Conor and Watts, Dave and Webb, Sara and Wesołowski, Tomasz and White, Ethan P. and Widdicombe, Claire E. and Wilgers, Dustin and Williams, Richard and Williams, Stefan B. and Williamson, Mark and Willig, Michael R. and Willis, Trevor J. and Wipf, Sonja and Woods, Kerry D. and Woehler, Eric J. and Zawada, Kyle and Zettler, Michael L.},
  title     = {BioTIME: A database of biodiversity time series for the Anthropocene},
  series = {Global Ecology and Biogeography},
  volume    = {27},
  journal   = {Global Ecology and Biogeography},
  doi       = {10.1111/geb.12729},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222846},
  pages     = {760-786},
  year      = {2018},
  abstract  = {Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL.},
  language  = {en}
}