scholarly journals Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy

2019 ◽  
Vol 25 (5) ◽  
pp. 641-655.e5 ◽  
Author(s):  
Lindsay R. Kalan ◽  
Jacquelyn S. Meisel ◽  
Michael A. Loesche ◽  
Joseph Horwinski ◽  
Ioana Soaita ◽  
...  
2021 ◽  
Vol 14 ◽  
pp. 175628642097591
Author(s):  
Thomas F. Scott ◽  
Ray Su ◽  
Kuangnan Xiong ◽  
Arman Altincatal ◽  
Carmen Castrillo-Viguera ◽  
...  

Background: Peginterferon beta-1a and glatiramer acetate (GA) are approved first-line therapies for the treatment of relapsing forms of multiple sclerosis, but their therapeutic efficacy has not been compared directly. Methods: Clinical outcomes at 2 years, including no evidence of disease activity (NEDA), for patients receiving peginterferon beta-1a 125 mcg every 2 weeks (Q2W) or GA 20 mg/ml once daily (QD) were compared by propensity score matching analysis using individual patient data from ADVANCE and CONFIRM phase III clinical trials. In addition, clinical outcomes at 1–3 years for patients receiving peginterferon beta-1a Q2W or GA 40 mg/ml three times a week (TIW) were evaluated using a matching-adjusted comparison analysis of individual patient data from ADVANCE and the ADVANCE extension study, ATTAIN, and aggregate patient data from the phase III GALA and the GALA extension studies. Results: Propensity-score-matched peginterferon beta-1a patients ( n = 336) had a significantly lower annualized relapse rate [ARR (0.204 versus 0.282); rate ratio = 0.724; p = 0.045], a significantly lower probability of 12-week confirmed disability worsening (10.0% versus 14.6%; hazard ratio = 0.625; p = 0.048), and a significantly higher rate of NEDA (20.3% versus 11.5%; p = 0.047) compared with GA 20 mg/ml QD patients after 2 years of treatment. Matching-adjusted peginterferon beta-1a patients (effective n = 276) demonstrated a similar ARR at 1 year (0.278 versus 0.318; p = 0.375) and significantly lower ARR at 2 years (0.0901 versus 0.203; p = 0.032) and 3 years (0.109 versus 0.209; p = 0.047) compared with GA 40 mg/ml TIW patients ( n = 834). Conclusion: Results from separate matching comparisons of phase III clinical trials and extension studies suggest that peginterferon beta-1a 125 mcg Q2W may provide better clinical outcomes than GA (20 mg/ml QD or 40 mg/ml TIW).


2004 ◽  
pp. 327-366 ◽  
Author(s):  
Markus Geisen ◽  
Jeremy R. Young ◽  
Ian Probert ◽  
Alberto G. Sáez ◽  
Karl-Heinz Baumann ◽  
...  

2015 ◽  
Vol 45 (6) ◽  
pp. 710-720 ◽  
Author(s):  
Yili Guo ◽  
Zhijun Lu ◽  
Qinggang Wang ◽  
Junmeng Lu ◽  
Yaozhan Xu ◽  
...  

Accumulating evidence suggests that density dependence, whether at early or late life stages, is an important mechanism regulating plant population structure. However, the opposing effects of habitat heterogeneity and species-level variation might have confounded the prevalence of density dependence in natural forests. These compatible ideas were rarely considered simultaneously. In this study, we applied a spatial statistical technique to examine (i) the prevalence of density dependence at late life stages after controlling for habitat heterogeneity and (ii) the relationships between species traits and the strength of density dependence in a newly established, 25 ha subtropical mountain forest plot in central China. Of the 88 (75%) tree species analyzed, 66 were found to exhibit density dependence predominantly at very close distances among neighbors in the species-rich subtropical forest. In addition, the strength of density dependence was associated with species traits. Our findings identified strong density dependence among trees that had greater stature and were rarer. We concluded that density dependence was a prevalent mechanism for regulating the population structure of most tree species and both habitat heterogeneity and species-level variation played crucial roles in shaping the strength of density dependence in natural forests.


2015 ◽  
Author(s):  
Carsten Meyer ◽  
Walter Jetz ◽  
Robert P Guralnick ◽  
Susanne A Fritz ◽  
Holger Kreft

Despite the central role of species distributions in ecology and conservation, occurrence information remains geographically and taxonomically incomplete and biased. Numerous socio-economic and ecological drivers of uneven record collection and mobilization among species have been suggested, but the generality of their effects remains untested. We develop scale-independent metrics of range coverage and geographical record bias, and apply them to 2.8M point-occurrence records of 3,625 mammal species to evaluate 13 putative drivers of species-level variation in data availability. We find that data limitations are mainly linked to range size and shape, and the geography of socio-economic conditions. Surprisingly, species attributes related to detection and collection probabilities, such as body size or diurnality, are much weaker predictors of the amount and range coverage of available records. Our results highlight the need to prioritize range-restricted species and to address the key socio-economic drivers of data bias in data mobilization efforts and distribution modeling.


Author(s):  
Casey Youngflesh ◽  
Jacob Socolar ◽  
Bruna R. Amaral ◽  
Ali Arab ◽  
Robert P. Guralnick ◽  
...  

The Auk ◽  
2021 ◽  
Author(s):  
Carla Cicero ◽  
Nicholas A Mason ◽  
Rosa Alicia Jiménez ◽  
Daniel R Wait ◽  
Cynthia Y Wang-Claypool ◽  
...  

Abstract Species delimitation requires a broad assessment of population-level variation using multiple lines of evidence, a process known as integrative taxonomy. More specifically, studies of species limits must address underlying questions of what limits the distribution of populations, how traits vary in association with different environments, and whether the observed trait differences may lead to speciation through reproductive isolation. While genomic data have revolutionized the process of delimiting species, such data should be analyzed along with phenotypic, behavioral, and ecological traits that shape individuals across geographic and environmental space. The integration of multiple traits promotes taxonomic stability and should be a major guiding principle for species delimitation. Equally important, however, is thorough geographic sampling to adequately represent population-level variation—both in allopatry and across putative contact zones. We discuss the importance of both of these factors in the context of species concepts and traits and present different examples from birds that illustrate criteria for species delimitation. In addition, we review a decade of proposals for species-level taxonomic revisions considered by the American Ornithological Society’s North American Classification Committee, and summarize the basis for decisions on whether to split or lump species. Finally, we present recommendations and discuss challenges (specifically permits, time, and funding) for species delimitation studies. This is an exciting time to be studying species delimitation in birds: many species-level questions remain, and methodological advances along with increased access to data enable new approaches to studying age-old problems in avian taxonomy.


2015 ◽  
Author(s):  
Carsten Meyer ◽  
Walter Jetz ◽  
Robert P Guralnick ◽  
Susanne A Fritz ◽  
Holger Kreft

Despite the central role of species distributions in ecology and conservation, occurrence information remains geographically and taxonomically incomplete and biased. Numerous socio-economic and ecological drivers of uneven record collection and mobilization among species have been suggested, but the generality of their effects remains untested. We develop scale-independent metrics of range coverage and geographical record bias, and apply them to 2.8M point-occurrence records of 3,625 mammal species to evaluate 13 putative drivers of species-level variation in data availability. We find that data limitations are mainly linked to range size and shape, and the geography of socio-economic conditions. Surprisingly, species attributes related to detection and collection probabilities, such as body size or diurnality, are much weaker predictors of the amount and range coverage of available records. Our results highlight the need to prioritize range-restricted species and to address the key socio-economic drivers of data bias in data mobilization efforts and distribution modeling.


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