Voices of biotech leaders

Nature Biotechnology asks a selection of leaders from across biotech to look at the future of the sector and make some predictions for the coming years

Publisher Correction:Voices of biotech leaders (Nature Biotechnology, (2021), 39, 6, (654-660), 10.1038/s41587-021-00941-4)

In the version of this article initially published, an author name was given as Abasi Ene Abong. The correct name is Abasi Ene-Obong. Also, the affiliation for Sebastian Giwa was given as Elevian, Pagliuca Harvard Life Lab, Allston, MA, USA. The correct affiliations are Biostasis Research Institute, Berkeley, CA, USA; Sylvatica Biotech, North Charleston, SC, USA; and Humanity Bio, Kensington, CA, USA. An affiliation for Jeantine Lunshof was given as Department of Genetics, Harvard Medical School, Boston, MA, USA. The correct affiliation is Wyss Institute for Biological Engineering, Harvard University, Boston, MA, USA. The errors have been corrected in the PDF and HTML versions of the article

Voices of biotech leaders

Nature Biotechnology asks a selection of leaders from across biotech to look at the future of the sector and make some predictions for the coming years.</p

The state of the Martian climate

60°N was +2.0°C, relative to the 1981–2010 average value (Fig. 5.1). This marks a new high for the record. The average annual surface air temperature (SAT) anomaly for 2016 for land stations north of starting in 1900, and is a significant increase over the previous highest value of +1.2°C, which was observed in 2007, 2011, and 2015. Average global annual temperatures also showed record values in 2015 and 2016. Currently, the Arctic is warming at more than twice the rate of lower latitudes

Association of respiratory symptoms and lung function with occupation in the multinational Burden of Obstructive Lung Disease (BOLD) study

Background Chronic obstructive pulmonary disease has been associated with exposures in the workplace. We aimed to assess the association of respiratory symptoms and lung function with occupation in the Burden of Obstructive Lung Disease study. Methods We analysed cross-sectional data from 28 823 adults (≥40 years) in 34 countries. We considered 11 occupations and grouped them by likelihood of exposure to organic dusts, inorganic dusts and fumes. The association of chronic cough, chronic phlegm, wheeze, dyspnoea, forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1)/FVC with occupation was assessed, per study site, using multivariable regression. These estimates were then meta-analysed. Sensitivity analyses explored differences between sexes and gross national income. Results Overall, working in settings with potentially high exposure to dusts or fumes was associated with respiratory symptoms but not lung function differences. The most common occupation was farming. Compared to people not working in any of the 11 considered occupations, those who were farmers for ≥20 years were more likely to have chronic cough (OR 1.52, 95% CI 1.19–1.94), wheeze (OR 1.37, 95% CI 1.16–1.63) and dyspnoea (OR 1.83, 95% CI 1.53–2.20), but not lower FVC (β=0.02 L, 95% CI −0.02–0.06 L) or lower FEV1/FVC (β=0.04%, 95% CI −0.49–0.58%). Some findings differed by sex and gross national income. Conclusion At a population level, the occupational exposures considered in this study do not appear to be major determinants of differences in lung function, although they are associated with more respiratory symptoms. Because not all work settings were included in this study, respiratory surveillance should still be encouraged among high-risk dusty and fume job workers, especially in low- and middle-income countries.publishedVersio

Cohort Profile: Burden of Obstructive Lung Disease (BOLD) study

The Burden of Obstructive Lung Disease (BOLD) study was established to assess the prevalence of chronic airflow obstruction, a key characteristic of chronic obstructive pulmonary disease, and its risk factors in adults (≥40 years) from general populations across the world. The baseline study was conducted between 2003 and 2016, in 41 sites across Africa, Asia, Europe, North America, the Caribbean and Oceania, and collected high-quality pre- and post-bronchodilator spirometry from 28 828 participants. The follow-up study was conducted between 2019 and 2021, in 18 sites across Africa, Asia, Europe and the Caribbean. At baseline, there were in these sites 12 502 participants with high-quality spirometry. A total of 6452 were followed up, with 5936 completing the study core questionnaire. Of these, 4044 also provided high-quality pre- and post-bronchodilator spirometry. On both occasions, the core questionnaire covered information on respiratory symptoms, doctor diagnoses, health care use, medication use and ealth status, as well as potential risk factors. Information on occupation, environmental exposures and diet was also collected

Functional field score:the effect of using a Goldmann V-4e isopter instead of a Goldmann III-4e isopter

PURPOSE: To investigate the underestimation of field loss in functional field score (FFS) between the Goldmann isopters III-4e and V-4e in visually impaired patients, in order to develop a predictive model for the FFS(III-4e) based on FFS(v-4e) that adjusts for possible confounders. Although the visual field is generally evaluated using Goldmann isopter III-4e, it has the disadvantage that not all low-vision patients are able to see the stimulus corresponding to this isopter. METHODS: Goldmann visual fields were obtained from 58 patients with a variety of eye diseases. Eligibility criteria were age of 18 years or older and valid results of a Goldmann III-4e and V-4e visual field test in at least one eye. Linear regression was used to develop the model, setting FFS(III-4e) as the dependent variable and FFS(V-4e) as the independent one. RESULTS: The FFS(V-4e) was higher than the FFS(III-4e), the mean difference being 14.56 points (95% CI, 12.48 -16.64). Multiple linear regression analysis showed that age, functional acuity score, primary eye disease, and central-peripheral loss were not confounders for the prediction of FFS(III-4e). FFS(III-4e) was estimated with the following equation: FFS(III-4e) = -19.25 + 1.063 x FFS(V-4e). CONCLUSIONS: The relationship between FFS(III-4e) and FFS(V-4e) is linear, and the FFS(V-4e) can be used to estimate the FFS(III-4e). In practice, just subtracting 19.25 points of the value of FFS(V-4e) will be sufficient to estimate the value of FFS(III-4e). This model should give confidence about using the bigger isopter for determining the visual impairment of a person by the FFS

Impact of visual impairment on quality of life: a comparison with quality of life in the general population and with other chronic conditions

PURPOSE: Subjective evaluation of health-related quality of life (HRQoL) and health status is recognized as an important tool in the assessment and treatment of visually impaired patients. The aims of this study are to describe the generic HRQoL and health status of visually impaired patients and to compare the HRQoL of visually impaired patients with that of both the general population of the Netherlands and patients with other chronic conditions. METHODS: 128 persons attending a rehabilitation centre for visually impaired adults completed the EuroQol questionnaire (EQ-5D). These patients' EQ-5D scores were compared with EQ-5D norms of the Dutch population and of patients with other chronic conditions; both sets of data were taken from the literature. RESULTS: The average EQ-5Dindex score of the total study population was 0.73 (SD 0.22). Visually impaired patients reported more problems on every dimension of the EQ-5D than the general Dutch population. Only stroke patients and patients with chronic fatigue syndrome and reported more problems on every dimension of the EQ-5D than visually impaired patients. CONCLUSIONS: Visual impairment has a substantial impact on the quality of life; compared with other chronic conditions, it seems to affect the HRQoL, spoiling the quality of life more than diabetes type II, coronary syndrome, and hearing impairments, but less than stroke, multiple sclerosis, chronic fatigue syndrome, major depressive disorder, and severe mental illness

Visual Functioning Questionnaire: reevaluation of psychometric properties for a group of working-age adults

PURPOSE: The Visual Functioning Questionnaire (VFQ-25) is one of the most widely used measures of vision-related quality of life. However, the questionnaire does not meet some psychometric quality criteria. The objectives of this study were first to obtain the factor structure of the VFQ-25, and second, to obtain interval scales by Rasch analysis. METHODS: The questionnaire was administered to 129 visually impaired adults (mean age 42.1 years; range 21 to 67 years). First, the items of the VFQ-25 were subjected to an exploratory factor analysis with Promax rotation. Next, we performed a separate Rasch analysis on each factor. We examined step thresholds and goodness of fit statistics of the items. Finally, we examined differential item functioning. RESULTS: Factor analysis indicated four factors: Near Activities, Distance Activities and Mobility, Mental Health and Dependency, and Pain and Discomfort. They accounted for 46.37% of the total variance. Most items showed some degree of disordering. After collapsing response categories, all items showed ordered thresholds. The Near Activities domain showed excellent fit, whereas the Distance Activities and Mobility domain, the Mental Health and Dependency domain, and the Pain and Discomfort domain had an unsatisfactory fit. There were two items showing uniform differential item functioning. CONCLUSIONS: The four-factor structure of the VFQ-25 largely confirms the structure of the questionnaire. However, the results of this study suggest that modifications of the original VFQ-25 structure are necessary