Stages Of Life Cycle Research Articles

The role of heat shock proteins in HIV-1 pathogenesis: a systematic review investigating HSPs-HIV-1 correlations and interactions.

The human immunodeficiency virus (HIV) pandemic is a global health emergency. Studies suggest a connection between heat shock proteins (HSPs) and HIV-1 infection pathogenesis. This systematic review aims to summarize HSPs' role in HIV-1 infection pathogenesis. A systematic literature search was undertaken across the National Library of Medicine (MEDLINE-PubMed), Science Direct, Web of Science, Scopus, SpringerLink, Sage, ProQuest, and Google Scholar databases, using related keywords to synthesize the HSPs' role in HIV-1 infection pathogenesis. This literature review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the protocol was registered in the Open Science Framework (OSF) database under DOI 10.17605/OSF.IO/VK3DJ. A database search revealed 3,332 articles, with 14 in vitro studies analysing the interaction between HSPs and HIV-1 across different cell types. HSPs are involved in HIV-1 infection through direct interactions and indirect responses to cellular stress, including HSP40, HSP70, HSPBP1, and HSP90. The study explores HSP interactions at various stages of the viral life cycle, including entry, uncoating, replication, transmission, and latency reactivation. HSPs are crucial for the HIV lifecycle and immune response, offering the potential for new therapeutic strategies. Further research is needed to understand the clinical significance and target potential.

Large-scale map of RNA-binding protein interactomes across the mRNA life cycle

mRNAs interact with RNA-binding proteins (RBPs) throughout their processing and maturation. While efforts have assigned RBPs to RNA substrates, less exploration has leveraged protein-protein interactions (PPIs) to study proteins in mRNA life-cycle stages. We generated an RNA-aware, RBP-centric PPI map across the mRNA life cycle in human cells by immunopurification-mass spectrometry (IP-MS) of ∼100 endogenous RBPs with and without RNase, augmented by size exclusion chromatography-mass spectrometry (SEC-MS). We identify 8,742 known and 20,802 unreported interactions between 1,125 proteins and determine that 73% of the IP-MS-identified interactions are RNA regulated. Our interactome links many proteins, some with unknown functions, to specific mRNA life-cycle stages, with nearly half associated with multiple stages. We demonstrate the value of this resource by characterizing the splicing and export functions of enhancer of rudimentary homolog (ERH), and by showing that small nuclear ribonucleoprotein U5 subunit 200 (SNRNP200) interacts with stress granule proteins and binds cytoplasmic RNA differently during stress.

A novel cystatin in Psoroptes ovis var. cuniculi: molecular characterization, serodiagnostic potential, and its anti-inflammatory property on rabbit peripheral blood mononuclear cells

BackgroundThe ectoparasite Psoroptes ovis var. cuniculi causes substantial economic losses to the global rabbit industry. Currently, microscopy for identifying Psoroptes mite in skin scrapings, as the “diagnosis gold standard,” remains a challenge owing to its poor sensitivity in detecting low-level and/or early stage mite infestations. Additionally, Psoroptes infestations rapidly trigger cutaneous inflammation, thus the mites might produce some molecules to deal with the harmful effects of inflammation for their long-time survival on the host skin, but these molecules are still mostly unknown.MethodsTo seek a sensitive diagnostic method and illuminate the new antiinflammatory molecules, we characterized a novel cystatin of P. ovis var. cuniculi (PsoCys) using bioinformatics and molecular biology methods.ResultsThe results showed that PsoCys comprised the classical features of the type II cystatin superfamily including an N-terminal glycine residue, a central QXVXG motif, and a C-terminal LW motif. In mixed stages of mites, the transcription level of PsoCys was significantly higher in “fed” mites than in “starved” mites (P < 0.001), and among the different life-cycle stages of “fed” mites, the expression of PsoCys was higher in adult males than in larva, nymph, and adult females (P < 0.001). The established indirect ELISA based on recombinant PsoCys (rPsoCys-iELISA) presented 95.4% sensitivity and 95.7% specificity. The area under the receiver operating characteristic curve (AUC) for this method was 0.991, indicating its excellent diagnostic performance. Moreover, rPsoCys-iELISA had advantages over microscopy for detecting low-level and/or early stage mite infestations (90% versus 40% in artificial infestation cases at 3 weeks post-infestation; 61.9% versus 22.6% in clinical cases). In addition, rPsoCys could inhibit the activity of papain and cathepsin B in vitro, and significantly suppressed mRNA levels of toll-like receptors (TLR 1, 2, 4, and 6) and downstream molecules (NF-κB, p38, MyD88, IL-10, and IFN-γ) in LPS-stimulated rabbit PBMCs, indicating its anti-inflammatory property.ConclusionsOur findings indicated that PsoCys was a novel type II cystatin of Psoroptes mites, and it served as a potential serological diagnostic antigen for detecting low-level and/or early stage mite infestations, as well as a novel anti-inflammatory molecule of Psoroptes mites.Graphical abstract

Identification of Typical Risks of an Industrial Enterprise at the Stages of the Product Life Cycle

Identification of Typical Risks of an Industrial Enterprise at the Stages of the Product Life Cycle

A hybrid‐ensemble model for software defect prediction for balanced and imbalanced datasets using AI‐based techniques with feature preservation: SMERKP‐XGB

AbstractMaintaining software quality is a significant challenge as the complexity of software is increasing with the rise of the software industry. Software defects are a primary concern in complex modules, and predicting them in the early stages of the software development life cycle (SDLC) is difficult. Previous techniques to address this issue have not been very promising. We have proposed “A hybrid ensemble model for software defect prediction using AI‐based techniques with feature preservation” to overcome this problem. We have used the National Aeronautics and Space Administration (NASA) dataset from the PROMISE repository for testing and validation. By applying exploratory data analysis (EDA), feature engineering, scaling, and standardization, we found that the dataset is imbalanced, which can negatively affect the model's performance. To address this, we have used the Synthetic Minority Oversampling (SMOTE) technique and the edited nearest neighbor (ENN) (SMOTE‐ENN). We have also used recursive feature elimination cross‐validation (RFE‐CV) with a pipeline to prevent data leaking in CV and kernel‐based principal component analysis (K‐PCA) to minimize dimensionality and selectively relevant features. The reduced dimensional data is then given to the eXtreme Gradient Boosting (XGBoost) for classification, resulting in the hybrid‐ensemble (SMERKP‐XGB) model. The proposed SMERKP‐XGB model is better than previously developed models in terms of accuracy (CM1: 97.53%, PC1: 92.05%, and PC2: 97.45%, KC1:95.65%), and area under the receiver operating characteristic curve values (CM1:96.30%, PC1:98.30%, and PC2:99.30%: KC1: 93.54) and other evaluation criteria mentioned in the literature.

Nectin1 is a pivotal host factor involved in attachment and entry of red-spotted grouper nervous necrosis virus in the early stages of the viral life cycle.

Nervous necrosis virus (NNV) is a highly neurotropic virus that poses a persistent threat to the survival of multiple fish species. However, its inimitable neuropathogenesis remains largely elusive. To rummage potential partners germane to the nervous system, we investigated the interaction between red-spotted grouper NNV (RGNNV) and grouper brain by immunoprecipitation coupled with mass spectrometry and discerned Nectin1 as a novel host factor subtly involved in viral early invasion events. Nectin1 was abundant in neural tissues and implicated in the inception of tunnel nanotubes triggered by RGNNV. Its overexpression not only dramatically potentiated the replication dynamics of RGNNV in susceptible cells, but also empowered non-sensitive cells to expeditiously capture free virions within 2 min. This potency was impervious to low temperatures but was dose-dependently suppressed by soluble protein or specific antibody of Nectin1 ectodomain, indicating Nectin1 as an attachment receptor for RGNNV. Mechanistically, efficient hijacking of virions by Nectin1 strictly depended on intricate linkages to different modules of viral capsid protein, especially the direct binding between the IgC1 loop and P-domain. More strikingly, despite abortive proliferation in Nectin1-reconstructed CHSE-214 cells, a non-sensitive cell, RGNNV could gain access to the intracellular compartment by capitalizing on Nectin1, thereby inducing canonical cytoplasmic vacuolation. Altogether, our findings delineate a candidate entrance for RGNNV infiltration into the nervous system, which may shed unprecedented insights into the exploration and elucidation of RGNNV pathogenesis.IMPORTANCENervous necrosis virus (NNV) is one of the most virulent pathogens in the aquaculture industry, which inflicts catastrophic damage to ecology, environment, and economy annually around the world. Nevertheless, its idiosyncratic invasion and latency mechanisms pose enormous hardships to epidemic prevention and control. In this study, deploying grouper brain as a natural screening library, a single-transmembrane glycoprotein, Nectin1, was first identified as an emergent functional receptor for red-spotted grouper NNV (RGNNV) that widely allocated in nervous tissues and directly interacted with viral capsid protein through distinct Ig-like loops to bridge virus-host crosstalk, apprehend free virions, and concomitantly propel viral entry. Our findings illuminate the critical role of Nectin1 in RGNNV attachment and entry and provide a potential target for future clinical intervention strategies in the therapeutic race against RGNNV.

The impact of data elements marketization on corporate financing constraints: Quasi-experimental evidence from the establishment of data trading platforms in China

Utilizing data from Chinese A-share listed companies from 2010 to 2022, this paper develops a multi-time difference-in-differences model to explore the impact of data elements marketization on corporate financing constraints. Furthermore, we also explore the mediating roles of management effect and information effect and the heterogeneity effect across different companies. The research findings indicate that the marketization of data elements alleviates corporate financing constraints, and the effect varies across companies at different stages of the corporate life-cycle. The research conclusion offers insights for companies, especially those facing financing constraints, to actively engage in the data elements trading market.

Private economic support policies, enterprise financialization, and productivity

This study examined panel data of privately listed companies in China from 2012 to 2022 for empirical analysis. Results indicate that enterprise financialization and economic policies supporting private enterprises strengthen production efficiency. Economic support policies had a heterogeneous impact on production efficiency at different lifecycle stages of the enterprises in the study sample. Assuming that other conditions remain unchanged, private economic support can indirectly increase enterprises’ production efficiency by enhancing R&D investment, thereby exerting a mediating effect.

Improvement of the UCP method for estimating labor costs in the implementation of IT-projects

An important stage of planning in the implementation of IT-projects is the assessment of the complexity of software development. An accurate estimate of labor costs at the early stage of the project life cycle significantly affects the allocation of resources, time planning and budget costs. Therefore, regardless of the large number of methods used to estimate labor costs during the implementation of an IT-project, the task of increasing the accuracy of this predictive estimate is relevant. The paper examines in detail the possibilities of using the well-known method for estimating labor costs Use Case Points (UCP), which is based on the use of use cases. It belongs to algorithmic methods, which makes it quite reliable and predictable in use. It also allows you to take into account the functional requirements for the system, which is especially useful in the early stages of project implementation. In addition, UCP is not tied to specific technologies or programming languages, which indicates its universality and flexibility. The purpose of the study is to improve the UCP method of estimating labor costs necessary for the successful implementation of an IT-project, which will allow taking into account interval estimates of technical complexity factors and external factors that affect the estimation of the amount of software and, accordingly, the estimation of the project's labor intensity. To experimentally verify the operability and efficiency of the proposed modified UCP method, a dataset containing information on 71 real projects was used. The results of computer modeling and comparative analysis of the accuracy of estimates of labor costs for the implementation of the project obtained using the proposed and original UCP methods are given. The results of the experiments showed that the proposed modification of the UCP method allows obtaining more accurate predictive estimates of labor costs in the implementation of IT-projects, which can significantly affect the efficiency of planning and project management processes.

Comparative life cycle assessment of three types of crumb rubber modified asphalt under different system boundaries

This study employs a life cycle assessment (LCA) to quantify the environmental impacts of three crumb rubber recycling technologies in asphalt rubber (AR) mixtures: wet, dry, and terminal blend. The analysis identifies key factors affecting their environmental performance across the life cycle. Results were characterized into climate change, stratospheric ozone depletion, fine particulate matter, terrestrial acidification, marine eutrophication, freshwater ecotoxicity, human toxicity, and Land use. Dynamic rankings of the three AR technologies along their life cycle stages in each impact category would enable identification of the influencing factors and provide reference for the further improvement. This study reveals that dry technology is likely to have the most significant environmental impacts across all categories (51.85 %-100 %), whereas terminal blended technology generally presents the lowest impact (51.85 %-88.89 %), with the exception of freshwater ecotoxicity (33.33 %) and human toxicity (22.22 %), where wet technology shows the least impact. The analysis underscores the importance of asphalt mixture designs, with appropriate binder content, potential reduction in surface course thickness, and reduced maintenance frequency, as strategies to enhance the environmental performance of AR technologies. The study concludes that the environmental performance of AR pavement is highly dependent on their in-service durability, with scenario-based analysis indicating that adequate durability ensures environmental effectiveness.

Parasitoids and Predators as Biological Agents against White Stem Borer (Scirpophaga innotata)

One of the primary challenges in rice cultivation is the disturbance caused by pest infestations. Among the pests that frequently cause damage to rice plants is the white rice stem borer (Scirpophaga innotata). The life cycle of Scirpophaga innotata comprises egg, larva, pupa, and adult stages. This article is based on a literature review and discusses the natural enemies most commonly encountered at each stage of the Scirpophaga innotata life cycle. The findings of this article can be summarized as follows: Natural enemies of the white rice stem borer during the egg stage include parasitoids such as Trichogramma japonicum Ashm., Tetrastichus schoenobii, and Telenomus rowani, as well as the predator Conocephalus sp. During the larva-pupa stage, parasitoids such as Apantheles sp., Bracon sp., Tropobracon sp., and Temelucha bigutella are present, along with predators like Miscrapis crocea and Harmonia octomaculata. Regarding the adult stage, parasitoids were not found to be natural enemies of adult S. innotata. However, the most commonly encountered predators include Coccinella transversalis (Thunberg) and Paederus sp.

Жизненный цикл изделия: мониторинг процессов механической обработки и фильтрация виброакустических сигналов

Introduction. In modern manufacturing, the product life cycle comprises various stages, from conception to disposal. Among these stages, machining plays a significant role, as it directly influences the durability and functionality of the finished product. With increasing competition and the need to reduce production costs, optimizing machining processes has become a crucial task. Traditionally, conservative technological approaches have been used to ensure processing quality. However, this often leads to decreased productivity and higher costs. Modern monitoring and diagnostic techniques can significantly improve process control, particularly through tool condition monitoring. The subject. This paper discusses the stages of the product life cycle and emphasizes the importance of monitoring machining processes. It explores the potential of using vibroacoustic signals to continuously monitor equipment and product conditions. Special attention is paid to the use of vibroacoustic signals for diagnostics and quality control. Modern approaches to filtering these signals, including the use of the fast Fourier transform and various window functions, are analyzed in order to improve the accuracy of the analysis and identify potential defects. The purpose of this work is to develop an algorithm for an online monitoring system that will monitor the condition of cutting tools based on the creation of a digital shadow using a vibroacoustic complex. The main tasks to be solved are to establish the ranges of applicability of frequency response of acoustic signals and optimal window functions, as well as to establish the relationship between the degree of wear on the cutting tool and the results of vibration diagnostics and surface roughness. The methods and technologies for filtering vibroacoustic signals and their application in real–world production settings are discussed. Special attention is given to the role of digital twins in integrating monitoring and filtering data, allowing for the creation of a virtual model of a product to predict its behavior and optimize processes throughout the life cycle. A comparison of various monitoring methods and technologies is conducted, as well as an analysis of practical examples of digital twin implementation in production processes and its impact on improved control. Results and discussion are presented, identifying current research and practical advancements, while also proposing existing challenges and promising areas for future research in the fields of monitoring, signal filtering, and the use of digital twins in mechanical manufacturing.

A new dataset of leaf optical traits to include biophysical parameters in addition to spectral and biochemical assessment

To enable future improvement on current leaf optical property models, more data incorporating a larger range of measured properties is needed. To this end, a dataset was collected to associate spectral measurements (ultraviolet, visible, and near infrared) with biochemical and biophysical properties of leaves. The leaves represented in this dataset were selected to provide a more comprehensive representation of both tree and agricultural species as well as leaves with a wide variety of color (pigment) expression, surface characteristics, and stages in a leaf lifecycle. Extensive data were collected for each of the 290 leaf samples studied in this project including multiple spectral measurement orientations and ranges, biochemical assessment, and biophysical assessment of that has not previously been a focus in other leaf datasets. The methods and results associated with this dataset are described in this work.

Impact of media attention on corporate green innovation: What is the role of dual environmental regulation?

This study explores the intricate interplay between media attention, dual environmental regulation, and corporate green innovation quality using a comprehensive dataset of Chinese A-share listed companies. Thus, our rigorous empirical analysis reveals that media visibility significantly affects corporate environmental sustainability efforts, with formal and informal environmental regulations moderating its impact. Media attention acts as a powerful catalyst for green innovation during growth and mature stages of a company's lifecycle; however, its effect diminishes during recessions. We determine significant heterogeneity across industry types and ownership structures. Non-high-polluting industries and non-state-owned enterprises show stronger positive responses to media scrutiny in their green innovation efforts than high-polluting sectors and state-owned enterprises. Furthermore, formal environmental regulations amplify the positive effect of media attention on green innovation, suggesting a synergistic potential that encourages companies to exceed baseline environmental standards. In contrast, while having no direct impact on green innovation, informal environmental regulation significantly moderates the relationship between media attention and innovation quality. These findings add to the literature on environmental innovation by demonstrating the conditional effectiveness of media attention and the critical role of regulatory frameworks in fostering sustainable corporate practices across industries and ownership contexts, with implications for policymakers, corporate strategists, and environmental advocates.

Methodological assessment for efficient collection of Schistosoma mansoni environmental DNA and improved schistosomiasis surveillance in tropical wetlands

Schistosomiasis, caused by trematodes of genus Schistosoma, is among the most seriously neglected tropical diseases. Although rapid surveillance of risk areas for Schistosoma transmission is vital to control schistosomiasis, the habitat and infection status of this parasite are difficult to assess. Environmental DNA (eDNA) analysis, involving the detection of extra-organismal DNA in water samples, facilitates cost-efficient and sensitive biomonitoring of aquatic environments and is a promising tool to identify Schistosoma habitat and infection risk areas. However, in tropical wetlands, highly turbid water causes filter clogging, thereby decreasing the filtration volume and increasing the risk of false negatives. Therefore, in this study, we aimed to conduct laboratory experiments and field surveys in Lake Victoria, Mbita, to determine the appropriate filter pore size for S. mansoni eDNA collection in terms of particle size and filtration volume. In the laboratory experiment, aquarium water was sequentially filtered using different pore size filters. Targeting >3 µm size fraction was found to be sufficient to capture S. mansoni eDNA particles, regardless of their life cycle stage (egg, miracidia, and cercaria). In the field surveys, GF/D (2.7 µm nominal pore size) filter yielded 2.5-times the filtration volume obtained with a smaller pore size filter and pre-filtration methods under the same time constraints. Moreover, a site-occupancy model was applied to the field detection results to estimate S. mansoni eDNA occurrence and detection probabilities and assess the number of water samples and PCR replicates necessary for efficient eDNA detection. Overall, this study reveals an effective method for S. mansoni eDNA detection in turbid water, facilitating the rapid and sensitive monitoring of its distribution and cost-effective identification of schistosomiasis transmission risk areas.

Renewal strategies of industrial heritage based on placeness theory: The case of Guangzhou, China

Studying the preservation and reuse of industrial heritage can improve people's knowledge and understanding of cultural heritage, thus deepening their sense of identity and belonging to the local culture. This study applies the theory of placeness to protect industrial architectural heritage, promote the organic revitalization of urban space, enhance local identity, and realize the visualization of tacit knowledge. Based on the theory of placeness, this study constructs an indicator system for industrial architectural heritage renewal strategy. The indicator system includes four primary indicators, namely State of Matter, Policy System, Behavior and Spirit, and 23 secondary indicators. Exploratory factor analysis is carried out using the post-evaluation (POE) method. This study concludes that (1) there are seven strategy combinations for industrial heritage renewal, including artistic expression, landscape and space, humanistic connotation, industrial building, history and culture, architectural features, and construction skills. The combination of strategies can enhance the locality and architectural originality. (2) The strategy combinations can be used in the design, construction, and operation stages of the whole life cycle and have been empirically demonstrated in typical projects in Guangzhou. Building Construction Atlas, Climatic Suitability, Building History/People, and Industrial Equipment have a higher contribution to the renewal effect of industrial buildings. (3) The 23 renewal strategy elements based on placeness provide new ideas for coding methods of historic buildings and modeling of historic building information model (HBIM). These strategy elements can be used to construct a knowledge graph of historic buildings and visualize tacit knowledge to promote sustainable construction and twin city construction.

Large-scale agile security practices in software engineering

Purpose Security in large-scale agile is a crucial aspect that should be carefully addressed to ensure the protection of sensitive data, systems and user privacy. This study aims to identify and characterize the security practices that can be applied in managing large-scale agile projects. Design/methodology/approach A qualitative study is carried out through 18 interviews with 6 software development companies based in Portugal. Professionals who play the roles of Product Owner, Scrum Master and Scrum Member were interviewed. A thematic analysis was applied to identify deductive and inductive security practices. Findings The findings identified a total of 15 security practices, of which 8 are deductive themes and 7 are inductive. Most common security practices in large-scale agile include penetration testing, sensitive data management, automated testing, threat modeling and the implementation of a DevSecOps approach. Originality/value The results of this study extend the knowledge about large-scale security practices and offer relevant practical contributions for organizations that are migrating to large-scale agile environments. By incorporating security practices at every stage of the agile development lifecycle and fostering a security-conscious culture, organizations can effectively address security challenges in large-scale agile environments.

Genes and proteins expressed at different life cycle stages in the model protist Euplotes vannus revealed by both transcriptomic and proteomic approaches.

Sexual reproduction first appeared in unicellular protists and has continued to be an essential biological process in almost all eukaryotes. Ciliated protists, which contain both germline and somatic genomes within a single cell, have evolved a special form of sexual reproduction called conjugation that involves mitosis, meiosis, fertilization, nuclear differentiation, genome rearrangement, and the development of unique cellular structures. The molecular basis and mechanisms of conjugation vary dramatically among ciliates, and many details of the process and its regulation are still largely unknown. In order to better comprehend these processes and mechanisms from an evolutionary perspective, this study provides the first comprehensive overview of the transcriptome and proteome profiles during the entire life cycle of the newly-established marine model ciliate Euplotes vannus. Transcriptome analyses from 14 life cycle stages (three vegetative stages and 11 sexual stages) revealed over 26,000 genes that are specifically expressed at different stages, many of which are related to DNA replication, transcription, translation, mitosis, meiosis, nuclear differentiation, and/or genome rearrangement. Quantitative proteomic analyses identified 338 proteins with homologs associated with conjugation and/or somatic nuclear development in other ciliates, including dicer-like proteins, Hsp90 proteins, RNA polymerase II and transcription elongation factors, ribosomal-associated proteins, and ubiquitin-related proteins. Four of these homologs belong to the PIWI family, each with different expression patterns identified and confirmed by RT-qPCR, which may function in small RNA-mediated genome rearrangement. Proteins involved in the nonhomologous end-joining pathway are induced early during meiosis and accumulate in the developing new somatic nucleus, where more than 80% of the germline sequences are eliminated from the somatic genome. A number of new candidate genes and proteins likely to play roles in conjugation and its related genome rearrangements have also been revealed. The gene expression profiles reported here will be valuable resources for further studies of the origin and evolution of sexual reproduction in this new model species.

Ultrastructural and molecular characterization of Glugea sp. (microsporidia), a parasite of the Red Sea fish Carangoides bajad (Carangidae).

Glugea sp. found infecting the liver of the teleost fish Carangoides bajad from the Red Sea, Egypt, is described based on light microscopy and ultrastructural characteristics combined with phylogenetic analyses. This microsporidium forms whitish xenomas up to ~4 mm in size. Xenomas display numerous parasitophorous vacuoles totally filled by mature spores, no other life cycle stages were observed. Mature spores ellipsoidal and measuring 6.3 × 4.0 μm in size. The polaroplast appears composed of two distinct regions: an electron-dense vesicular region and a densely packed lamellar region. The polar tubule forms approximately 24-27 coils arranged in three layers encircling the posterior vacuole. The small subunit (SSU) rRNA gene and its ITS region were sequenced and showed the highest similarity of 99.4% to other Glugea spp. Bayesian inference and maximum likelihood analyses place the novel isolate within the Glugea clade, more specifically within a subclade that predominantly grouped species described from fish inhabiting the Arabian Gulf or Red Sea. The results validate the parasite's classification in the Glugea genus. Nevertheless, until more detailed ultrastructural and molecular data are obtained, the identification of the current Glugea species is hampered by the absence of some developmental stages and the high degree of genetic similarity.

Application of Life Cycle Assessment in Beer Production: Systematic Review

The production of beer, a beverage of global cultural and industrial importance, has a significant impact on the environment due to the use of natural resources and the emissions generated during the various stages of the production process. Therefore, this article examines the sustainability of beer production through a review of literature articles that have used Life Cycle Assessment (LCA) to assess its environmental impacts. A systematic literature review was conducted by selecting peer-reviewed articles published between 2001 and July 2024 using databases such as Scopus and Google Scholar. The search included studies analyzing different stages of the beer life cycle, from raw material production to packaging and distribution, using specific keywords related to LCA and brewing. The results showed that energy use and packaging are the two critical aspects identified in the review, which represent a significant part of the environmental footprint. However, it is important to note that the available studies on the subject are few and heterogeneous and they use different methodologies, impact categories, and functional units, which complicates the comparison and synthesis of results, limiting the ability to draw definitive conclusions. Recommendations were made to improve sustainability, including the adoption of more efficient technologies, the use of recycled materials for packaging, and the implementation of sustainable agricultural practices. These strategies could aim to significantly reduce the overall environmental impact of beer production.