Comparing chemical environmental scores using USEtox<Superscript>™</Superscript> and CDV from the European Ecolabel

Purpose

USEtox^? (Rosenbaum et al. 2008) is a new model which can be used to calculate characterization factors for human and ecotoxicity impact categories used in life cycle assessment. The French ADEME-AFNOR (http://affichage-environnemental.afnor.org/) is currently considering this model to develop a new environmental labelling standard for consumer goods. The objective of this short study is to compare USEtox^? impact scores with critical dilution volume (CDV) scores from the European Ecolabel (http://ec.europa.eu/environment/ecolabel), a well-established tool widely used in Europe aiming at discriminating environmental friendly products.

Material and methods

The same range of chemicals (high scores to low scores) listed in both the USEtox^? database and the EU Ecolabel detergent ingredient database (DID-list) were used for the comparison. The DID-list is a reference list, which contains agreed and verified fate and ecotoxicity data. The ranking was made based on two different ranking parameters, one from each model: the environmental impact score from USEtox^? and the CDV from the EU Ecolabel. Additionally, a Spearman’s rank correlation (ρ) coefficient was calculated.

Results and discussion

Sixty-nine chemicals common in personal care and cleaning products were selected for the comparison between USEtox^? and EU Ecolabel methods. A “fair” agreement was found between the two models with a Spearman correlation coefficient ρ of 0.74, but a significant number of chemicals was ranked rather differently. The presence of outliers (i.e., different ranking) may be explained by several factors, which include the use of discrete versus continuous values to estimate the substance’s degradation constant. Another factor could be that the substances are grouped under classes in the DID-list, thus having average parameter values. The main factor though probably lays in the different sources of the physico-chemical, fate and ecotoxicity data within the two model databases and the different way they are used for the ranking parameter calculation.

Conclusions

Provided there is scientific consensus (and full transparency) on the raw data, both USEtox^? and EU Ecolabel methods are relevant for ranking chemicals based on their physico-chemical and toxicological properties, and therefore for calculating product environmental impact scores related to their hazard. However, the presence of a number of chemicals with different ranking scores creates the risk of inconsistent consumer product information when either the CDV (EU ecolabel) or USEtox^? (French “Affichage Environnemental”) is used for environmental labelling. To date, and for sake of consistency with an existing and used labelling scheme, the CDV appears much easier to implement with less uncertainty to calculate ecotoxicity impact score of products.

     

Detection and analysis of endogenous polar volatile organic compounds (PVOCs) in urine for human exposome research

Background: The human exposome, defined as ‘…everything that is not the genome’, comprises all chemicals in the body interacting with life processes. The exposome drives genes x environment (GxE) interactions that can cause long-term latency and chronic diseases. The exposome constantly changes in response to external exposures and internal metabolism. Different types of compounds are found in different biological media.

Objective: Measure polar volatile organic compounds (PVOCs) excreted in urine to document endogenous metabolites and exogenous compounds from environmental exposures.

Methods: Use headspace collection and sorbent tube thermal desorption coupled with bench-top gas chromatography-mass spectrometry (GC-MS) for targeted and non-targeted approaches. Identify and categorize PVOCs that may distinguish among healthy and affected individuals.

Results: Method is successfully demonstrated to tabulate a series of 28 PVOCs detected in human urine across 120 samples from 28 human subjects. Median concentrations range from below detect to 165?ng/mL. Certain PVOCs have potential health implications.

Conclusions: Headspace collection with sorbent tubes is an effective method for documenting PVOCs in urine that are otherwise difficult to measure. This methodology can provide probative information regarding biochemical processes and adverse outcome pathways (AOPs) for toxicity testing.     

Ecotoxicity evaluation of PFBSK for the whole environmental compartments and comprehensive comparison of hazard and risk to PFOS

A series of perfluorobutane sulfonate (PFBS)-related substances are produced as the alternatives to corresponding perfluorooctane sulfonate (PFOS). However, there is little reliable information about PFBS available for the whole ecotoxicology compartments. At present, its ecotoxicity of perfluorobutane sulfonate potassium (PFBSK) was selected as a typical PFBS chemical to investigate and evaluate its aquatic, terrestrial, microorganism and sediment toxicity according to the Organization for Economic Cooperation and Development (OECD) guideline under the framework of the REACH regulation. Meanwhile, the ecotoxicology hazard and risk for PFBSK and PFOS were compared comprehensively.

PFBSK did not show acute and chronic aquatic, microorganisms and terrestrial animal toxicity, while exhibited some terrestrial plants toxicity. The ecotoxicology of PFBSK decreased sharply except for terrestrial plants compared with PFOS. Especially, for acute and chronic aquatic ecotoxicity, PFBSK is lower than 100 times those of PFOS.

Although the similar terrestrial plants toxicity level was observed for PFBSK and PFOS, the lower risk of PFBSK was deduced for the reason that there was far less chances to be exposed and retained in the soil and sediment for its high water solubility and low adsorption.

In conclusion, PFBSK showed lower ecotoxicity hazard and risk than those of PFOS. PFBSK could be an environmental friendly alternative to PFOS.     

Variability of intended copies for etanercept (Enbrel®): Data on multiple batches of seven products

Fusion protein and monoclonal antibody-based tumor necrosis factor (TNF) inhibitors represent established treatment options for a range of inflammatory diseases. Regulatory authorities have outlined the structural characterization and clinical assessments necessary to establish biosimilarity of a new biotherapeutic product with the innovator biologic drug. Biologic products that would not meet the minimum World Health Organization's standard for evaluation of similar biotherapeutic products are available in some countries; in some cases relevant data to assess biosimilarity and appropriate regulatory approval pathways are lacking.

Batches of seven intended copy (IC) products for etanercept (Enbrel®) were subjected to a subset of test methods used in the routine release and heightened characterization of Enbrel®, to determine key attributes of identity, quality, purity, strength, and activity. While a number of quality attributes of the IC lots tested met the release specifications for Enbrel®, none fell within these limits across all methods performed, and there were no IC lots that satisfied the criteria typically applied by the innovator to support comparability with Enbrel®. Although the consequences of these differences are largely unknown, the potential for unanticipated clinical outcomes should not be overlooked.     

The role of mass spectrometry in the characterization of biologic protein products

Introduction: Mass spectrometry (MS) is widely used in the characterization of biomolecules including peptide and protein therapeutics. These biotechnology products have seen rapid growth over the past few decades and continue to dominate the global pharmaceutical market. Advances in MS instrumentation and techniques have enhanced protein characterization capabilities and supported an increased development of biopharmaceutical products.

Areas covered: This review describes recent developments in MS-based biotherapeutic analysis including sequence determination, post-translational modifications (PTMs) and higher order structure (HOS) analysis along with improvements in ionization and dissociation methods. An outlook of emerging applications of MS in the lifecycle of product development such as comparability, biosimilarity and quality control practices is also presented.

Expert commentary: MS-based methods have established their utility in the analysis of new biotechnology products and their lifecycle appropriate implementation. In the future, MS will likely continue to grow as one of the leading protein identification and characterization techniques in the biopharmaceutical industry landscape.     

Reduced Pesticide Use in Scandinavian Agriculture

In all industrialized countries, the use of individual pesticides has been regulated on the basis of the presumed hazard that each poses to health and the environment. In Sweden, Norway, and Denmark, programs aimed at reducing total pesticide use have been initiated as well.

In Swedish and Danish agriculture, the amount of active ingredients used has decreased steadily since around 1980; however, the area treated has increased during the same period. The reduction during the 1980s can be ascribed to several factors affecting pesticide use in agriculture. First, old pesticides have been replaced by new ones that are active at lower doses. A general decrease in herbicide doses applied has been possible because of decreased weed pressure. Improved spraying technique also is important.

Environmental concern and political ambitions to reduce pesticide use in Scandinavian agriculture must be understood primarily within the historical framework of societal values and political and social experiences. The success in the reduction of pesticide use, however, cannot be measured and evaluated without taking into account the specific technical and agroecological prerequisites existing in Scandinavian agriculture. As in many other areas of complex changes in modern society: Opinion proposes, Technology disposes.     

Exposure assessment of potentially toxic trace elements via consumption of fruits and vegetables grown under the impact of Alaverdi's mining complex

This study is aimed to investigate the transfer of potentially toxic trace elements from soils to plants grown under the impact of Alaverdi's mining complex and assess the related dietary exposure to local residents. Contamination levels of potentially toxic trace elements (Cu, Ni, Pb, Zn, Hg, As, Cd) in soils and plants were determined and afterwards, transfer factors, estimated daily intakes, target hazard quotients, and hazard indexes were calculated.

Some trace elements (Pb, Zn, Cd) exceeded the maximum allowable levels. EDIs of Cu, Ni, Hg for the majority of studied fruits and vegetables exceeded the health-based guideline values. Meanwhile, in case of combined consumption of the studied food items, the estimated cumulative daily intakes exceeded health-based guideline values not only for the aforementioned trace elements but also for Zn in the following sequence: Zn > Hg > Ni > Cu. HI > 1 values highlighted the potential adverse health effects for local population through more than one trace element.

Detailed investigations need to be done for the overall assessment of health risks, taking into consideration not only adverse health effects posed by more than one toxic trace element but also through other exposure pathways.     

De-novo identification of specific exposure biomarkers of the alternative plasticizer di(2-ethylhexyl) terephthalate (DEHTP) after low oral dosage to male volunteers by HPLC-Q-Orbitrap-MS

Context: Human exposure biomonitoring relies on the availability of specific, sensitive biomarkers. For emerging chemicals, the identification (prediction, synthesis, verification) of such biomarkers is time and cost intensive.

Objective: This study aimed to further elucidate the urinary metabolic profile of the plasticizer di(2-ethylhexyl) terephthalate (DEHTP) in search of probably additional biomarkers of exposure.

Materials and methods: Urine samples of an oral low-dose volunteer study were analysed by HPLC-Q-Orbitrap-MS combined with a commercial data mining software. Metabolite identification was based on isotopic pattern, accurate masses of product ions and excretion profiles.

Results: Nine phase I metabolites of DEHTP were tentatively identified by HPLC-Q-Orbitrap-MS. Four previously described, side chain oxidized monoester metabolites were confirmed in all samples. In addition, five previously unknown downstream metabolites were tentatively identified.

Discussion and conclusion: The excretion profiles obtained by HPLC-Q-Orbitrap-MS were in good agreement with quantitative HPLC-QqQ-MS data. For the newly discovered metabolites, plausible excretion profiles, similar to the ones of the known metabolites, were obtained. The presented approach proved to be successful for metabolite screening in urine samples after low-dose exposure and will be applied in future human metabolism studies for a fast, reliable and cost effective identification of specific biomarkers of exposure.     

Foodomics for human health: current status and perspectives

Introduction: In the post-genomic era, the opportunity to combine and integrate cutting-edge analytical platforms and data processing systems allowed the birth of foodomics, ‘a discipline that studies the Food and Nutrition domains through the application of advanced omics technologies to improve consumer’s well-being, health, and confidence’. Since then, this discipline has rapidly evolved and researchers are now facing the daunting tasks to meet consumers’ needs in terms of food traceability, sustainability, quality, safety and integrity. Most importantly, today it is imperative to provide solid evidence of the mechanisms through which food can promote human health and well-being.

Areas covered: In this review, the complex relationships connecting food, nutrition and human health will be discussed, with emphasis on the relapses for the development of functional foods and nutraceuticals, personalized nutrition approaches, and the study of the interplay among gut microbiota, diet and health/diseases.

Expert commentary: Evidence has been provided supporting the role of various omic platforms in studying the health-promoting effects of food and customized dietary interventions. However, although associated to major analytical challenges, only the proper integration of multi-omics studies and the implementation of bioinformatics tools and databases will help translate findings from clinical practice into effective personalized treatment strategies.     

Breeding biology of Western Bonelli’s Warblers Phylloscopus bonelli in the Mediterranean region

Capsule: The Western Bonelli’s Warbler Phylloscopus bonelli has a nest success of only 25% in the core of its range in western Europe.

Aims: To investigate the breeding biology of Western Bonelli’s Warbler P. bonelli, focusing on possible altitude effects and potential reproductive problems.

Methods: Three Western Bonelli’s Warbler populations were monitored during the 2012 and 2013 breeding seasons in the massif range of Sierra Nevada, Spain. We determined all the breeding parameters and calculated daily survival and success rates for each reproductive period.

Results: The three studied populations did not differ in any breeding parameters. Altitude showed a positive relationship with clutch size and duration of incubation period, but a negative relationship with nestling tarsus growth and body mass gain. Daily survival rates during incubation and nestling periods were similar to those of common warblers, but the species presented a low breeding success of 25%.

Conclusion: The absence of differences among the three populations suggests that the information provided here could be representative of its distribution in the woodlands of Sierra Nevada. The novel and detailed information reported is crucial not only for expanding our understanding of this species but also to draw attention to the potential risks that it might face in the near future, considering the reduction that this species has suffered in Sierra Nevada during recent decades.     

Noncancer Risk Assessment: A Probabilistic Alternative to Current Practice

Based on imperfect data and theory, agencies such as the United States Environmental Protection Agency (USEPA) currently derive “reference doses” (RfDs) to guide risk managers charged with ensuring that human exposures to chemicals are below population thresholds. The RfD for a chemical is typically reported as a single number, even though it is widely acknowledged that there are significant uncertainties inherent in the derivation of this number.

In this article, the authors propose a probabilistic alternative to the EPA's method that expresses the human population threshold as a probability distribution of values (rather than a single RfD value), taking into account the major sources of scientific uncertainty in such estimates. The approach is illustrated using much of the same data that USEPA uses to justify their current RfD procedure.

Like the EPA's approach, our approach recognizes the four key extrapolations that are necessary to define the human population threshold based on animal data: animal to human, human heterogeneity, LOAEL to NOAEL, and subchronic to chronic. Rather than using available data to define point estimates of “uncertainty factors” for these extrapolations, the proposed approach uses available data to define a probability distribution of adjustment factors. These initial characterizations of uncertainty can then be refined when more robust or specific data become available for a particular chemical or class of chemicals.

Quantitative characterization of uncertainty in noncancer risk assessment will be useful to risk managers who face complex trade-offs between control costs and protection of public health. The new approach can help decision-makers understand how much extra control cost must be expended to achieve a specified increase in confidence that the human population threshold is not being exceeded.     

GWIDD: a comprehensive resource for genome-wide structural modeling of protein-protein interactions

We live in an age of access to more information than ever before. This can be a double-edged sword. Increased access to information allows for more informed and empowered researchers, while information overload becomes an increasingly serious risk. Thus, there is a need for intelligent information retrieval systems that can summarize relevant and reliable textual sources to satisfy a user's query. Question answering is a specialized type of information retrieval with the aim of returning precise short answers to queries posed as natural language questions. We present a review and comparison of three biomedical question answering systems: askHERMES (http://www.askhermes.org/), EAGLi (http://eagl.unige.ch/EAGLi/), and HONQA (http://services.hon.ch/cgi-bin/QA10/qa.pl).     

Forced degradation studies: current trends and future perspectives for protein-based therapeutics

Introduction: Forced degradation (FD) studies (stress testing) are an integral part of pharmaceutical product development.

Areas covered: The design and execution of these studies require thorough planning and coordination through the various stages of development as well as post-approval commercial operations. This is particularly crucial in the case for protein-based therapeutics due to complexity of the molecular structure as well as the potential influence of the manufacturing process on product attributes. Often, FD study applications are linked to specific product development in a phase-specific and case-by-case manner with differing purposes and focus.

Expert commentary: This paper summarizes some key FD approaches commonly employed in the industry and provides considerations on study design strategies and database management through the course of the product lifecycle.     

Characterization of organophosphate pesticides in urine and home environment dust in an agricultural community

Context: Organophosphorus insecticides (OPs) have been used to control agricultural pests found in Washington state. Farmworkers (FW) have higher exposure to OP pesticides than non-farmworkers (NFW), and FW children may in turn have higher exposure than NFW children.

Objective: To examine the association between the concentration in house dust of five OPs used commonly in pome fruit orchards and the concentration in urine of dialkylphosphate metabolites (DAP), in a cohort of Hispanic FW and NFW and their children.

Methods: Parents and children participated in three data collection periods over the course of one year. Urine samples were evaluated for the DAPs characteristic of OP exposure, and dust from homes and vehicles was evaluated for intact OP residues.

Results: Geometric mean (GM) concentrations of OPs in house and vehicle dust were higher in FW households than NFW households in all agricultural seasons. GM concentration of urinary DAPs was higher for children in FW households than NFW households.

Discussion: Regression analysis found a positive association between OP residues in house dust and the children’s urinary DAPs.

Conclusions: To our knowledge, this study is the first to report an association between pesticides in house dust and their biological metabolites in urine.     

Predictors of leptin concentration and association with cardiovascular risk in patients with coronary artery disease: results from the AtheroGene study

Context: Leptin is produced in white adipose tissue, but also in human coronary atherosclerotic lesions.

Objective: The aim of this study is to assess the prognostic value of leptin in patients with proven coronary artery disease (CAD) (N?=?1907).

Methods: AtheroGene is a contemporary CAD cohort study (N?=?3229). Median follow-up time was 3.8 (Quartile 1/3 with 2.8/4.9) years.

Results: Leptin concentration was associated with a hazard ratio (HR) for the fully adjusted model of HR?=?1.32 in women but was not significant in men. The endpoint cardiovascular death and non-fatal myocardial infarction was observed in 167 patients.

Conclusion: In women with known CAD, increased leptin concentration is useful for predicting cardiovascular death and non-fatal myocardial infarction.     

Recent advances in engineering propionyl-CoA metabolism for microbial production of value-added chemicals and biofuels

Diminishing fossil fuel reserves and mounting environmental concerns associated with petrochemical manufacturing practices have generated significant interests in developing whole-cell biocatalytic systems for the production of value-added chemicals and biofuels. Although acetyl-CoA is a common natural biogenic precursor for the biosynthesis of numerous metabolites, propionyl-CoA is unpopular and non-native to most organisms. Nevertheless, with its C3-acyl moiety as a discrete building block, propionyl-CoA can serve as another key biogenic precursor to several biological products of industrial importance. As a result, engineering propionyl-CoA metabolism, particularly in genetically tractable hosts with the use of inexpensive feedstocks, has paved an avenue for novel biomanufacturing. Herein, we present a systematic review on manipulation of propionyl-CoA metabolism as well as relevant genetic and metabolic engineering strategies for microbial production of value-added chemicals and biofuels, including odd-chain alcohols and organic acids, bio(co)polymers and polyketides.

     

Biomarker discovery for drug-induced phospholipidosis: phenylacetylglycine to hippuric acid ratio in urine and plasma as potential markers

Context: Drug-induced phospholipidosis is one of the significant concerns in drug development, especially in safety assessment and noninvasive diagnostic tool is highly desirable.

Objective: The objective of this study is to explored novel biomarkers for phospholipidosis using a metabolomic approach.

Method: NMR spectrometry and LC/MS/MS analyses were applied to urine and plasma of rats administrated cationic amphiphilic drugs.

Results: The phenylacetylglycine to hippuric acid ratio in plasma was increased in time and dose-dependent manners; and it was well correlated with histopathological observation.

Conclusion: The plasma phenylacetylglycine to hippuric acid ratio is a potential marker in monitoring drug-induced phospholipidosis.     

Advances in quantifying apolipoproteins using LC-MS/MS technology: implications for the clinic

Introduction: Apolipoproteins play a key role in pre-, pro-, and anti-atherosclerotic processes and have become important circulating biomarkers for the prediction of cardiovascular disease (CVD) risk. Whereas currently clinical immunoassays are not available for most apolipoproteins and lack the capacity for multiplexing, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) allows simultaneous, highly-specific, and precise quantification of multiple apolipoproteins.

Areas covered: We discuss LC-MS/MS methods for quantification of apolipoproteins reported in the literature and highlight key requirements for clinical use. Besides the advances in sample preparation and LC-MS/MS technologies, this overview also discusses advances in proteoform analysis and applications of dried blood/plasma collection.

Expert commentary: Standardized quantification using LC-MS/MS technology has been demonstrated for apolipoprotein A-I and B. However, for implementation in clinical CVD risk assessment, LC-MS/MS must bring significant added clinical value in comparison to fast, standardized, and straightforward clinical (immuno)assays. Ongoing advances in accuracy and multiplexing capacity of LC-MS/MS, nonetheless, bear potential to enable standardized and interpretable personalized profiling of a patient’s CVD risk by simultaneous quantification of multiple apolipoproteins and -variants. We, moreover, anticipate further personalization of CVD risk assessment by the potential of LC-MS/MS to enable simultaneous genotyping and remote monitoring using dried blood/plasma collection devices.     

Effects of reduced exposure to cigarette smoking on changes in biomarkers of potential harm in adult smokers: results of combined analysis of two clinical studies

Purpose: Nonconventional vapor products (NVP), designed to reduce exposure to cigarette smoke toxicants (CSTs), could cause changes in biomarkers of potential harm (BoPH). Although, NVPs reduced CSTs exposure compared to conventional cigarettes (CC), the changes in the BoPH values varied among the studies. Hence, further information on BoPH using NVPs is needed.

Material and methods: The data of two similarly designed studies using a kind of NVP, a noncombustion and nonheating inhaler type of smokeless tobacco product (NCIT) used under 31-day confinement, were pooled, and the differences in 15 BoPH between smokers and nonsmokers at baseline and between the 1?mg tar CC (CC1) group and NCIT group at Day 28/29 were analyzed.

Results: At baseline, the levels of eight BoPH (red blood cells, white blood cells, 8-epi-prostaglandin F2α, 8-hydroxy-2′-deoxyguanosine, malondialdehyde, 11-dehydrothromboxane B2, total cholesterol and glucose) were significantly different between smokers and nonsmokers. At Day 28/29, the levels of six BoPH were significantly different between NCIT and CC1 (8-epi-prostaglandin F2α, malondialdehyde, 11-dehydrothromboxane B2: CC1?>?NCIT, total bilirubin, low-density lipoprotein cholesterol and total cholesterol: CC1?<?NCIT).

Conclusions: Reduced exposure to CSTs has favorable effects on BoPH associated with oxidative stress, antioxidant capacity and platelet activation/coagulation but not in lipid metabolism.     

Review of biomarkers to assess the effects of switching from cigarettes to modified risk tobacco products

Context: One approach to reducing the harm caused by cigarette smoking, at both individual and population level, is to develop, assess and commercialize modified risk alternatives that adult smokers can switch to. Studies to demonstrate the exposure and risk reduction potential of such products generally involve the measuring of biomarkers, of both exposure and effect, sampled in various biological matrices.

Objective: In this review, we detail the pros and cons for using several biomarkers as indicators of effects of changing from conventional cigarettes to modified risk products.

Materials and methods: English language publications between 2008 and 2017 were retrieved from PubMed using the same search criteria for each of the 25 assessed biomarkers. Nine exclusion criteria were applied to exclude non-relevant publications.

Results: A total of 8876 articles were retrieved (of which 7476 were excluded according to the exclusion criteria). The literature indicates that not all assessed biomarkers return to baseline levels following smoking cessation during the study periods but that nine had potential for use in medium to long-term studies.

Discussion and conclusion: In clinical studies, it is important to choose biomarkers that show the biological effect of cessation within the duration of the study.