TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease

One in ten severe acute respiratory syndrome coronavirus 2 infections result in prolonged symptoms termed long coronavirus disease (COVID), yet disease phenotypes and mechanisms are poorly understood1. Here we profiled 368 plasma proteins in 657 participants ≥3 months following hospitalization. Of these, 426 had at least one long COVID symptom and 233 had fully recovered. Elevated markers of myeloid inflammation and complement activation were associated with long COVID. IL-1R2, MATN2 and COLEC12 were associated with cardiorespiratory symptoms, fatigue and anxiety/depression; MATN2, CSF3 and C1QA were elevated in gastrointestinal symptoms and C1QA was elevated in cognitive impairment. Additional markers of alterations in nerve tissue repair (SPON-1 and NFASC) were elevated in those with cognitive impairment and SCG3, suggestive of brain–gut axis disturbance, was elevated in gastrointestinal symptoms. Severe acute respiratory syndrome coronavirus 2-specific immunoglobulin G (IgG) was persistently elevated in some individuals with long COVID, but virus was not detected in sputum. Analysis of inflammatory markers in nasal fluids showed no association with symptoms. Our study aimed to understand inflammatory processes that underlie long COVID and was not designed for biomarker discovery. Our findings suggest that specific inflammatory pathways related to tissue damage are implicated in subtypes of long COVID, which might be targeted in future therapeutic trials

Telephone coaching to enhance a physiotherapist-prescribed home-based physical activity program for knee osteoarthritis: A randomised clinical trial

Physical activity and exercise are recommended by osteoarthritis (OA) clinical and general health guidelines. Amongst people with OA, physical activity levels are low, there is a global under-utilisation of exercise, and benefits are generally not sustained because adherence is typically suboptimal and declines over time. Health coaching, often delivered by telephone, is increasingly used for chronic disease self-management. It aims to improve patient adherence to treatment recommendations and facilitate health behavior change

A incidência de cirurgias na população de Ribeirão Preto, SP, Brasil Incidence of surgery in Ribeirão Preto, SP, Brazil

Foi estudada a incidência de cirurgias na população residente em Ribeirão Preto, São Paulo (Brasil), em 1975, em relação à idade, sexo, categoria de internação do paciente e tipo de internação cirúrgica, utilizando-se as informações coletadas por um Centro de Processamento de Dados Hospitalares. Foram observadas elevadas taxas de cirurgias: 79,8/1000 no sexo feminino e 43,8/1000 no masculino. As intervenções obstétricas representaram 31,8% do total de operações realizadas; no sexo masculino as intervenções ortopédicas foram as de maior incidência. A proporção de internações com ocorrência de cirurgia foi mais elevada nos pacientes particulares. As operações ortopédicas e plásticas incidiram relativamente mais nos beneciários da Previdência Social e nos indigentes, enquanto que as otorrinológicas e urológicas foram proporcionalmente mais freqüentes nos pacientes particulares.<br>This paper reports on surgical rates as related to patient's ages sex and categories of hospitalization in the population of Ribeirão Preto, S. Paulo, Brazil. Data were obtained from a hospital information center. The surgical rate in Ribeirão Preto was similar to the highest rates reported in literature. Obstetric surgery accounted for 31.8% of all operations performed. Orthopedic operations were the most frequent kind of surgery performed on the male sex. Hospitalization with surgery was more frequent in the patients whose care was remunerated. The number of orthopedic and plastic surgical operations was greater in the case of Social Insurance and indigent patients, whereas otorrinological and urinary tract operations were more frequent in the case of paying patients