Prevention and treatment of HPV-related cancer through a mRNA vaccine expressing APC-targeting antigen.

Persistent human papillomavirus (HPV) infection is associated with multiple malignancies. Developing therapeutic vaccines to eliminate HPV-infected and malignant cells holds significant value. In this study, we introduced a lipid nanoparticle encapsulated mRNA vaccine expressing tHA-mE7-mE6. Mutations were introduced into E6 and E7 of HPV to eliminate their tumourigenicity. A truncated influenza haemagglutinin protein (tHA), which binds to the CD209 receptor on the surface of dendritic cells (DCs), was fused with mE7-mE6 in order to allow efficient uptake of antigen by antigen presenting cells. The tHA-mE7-mE6 (mRNA) showed higher therapeutic efficacy than mE7-mE6 (mRNA) in an E6 and E7+ tumour model. The treatment resulted in complete tumour regression and prevented tumour formation. Strong CD8+ T-cell immune response was induced, contributing to preventing and curing of E6 and E7+ tumour. Antigen-specific CD8+ T were found in spleens, peripheral blood and in tumours. In addition, the tumour infiltration of DC and NK cells were increased post therapy. In conclusion, this study described a therapeutic mRNA vaccine inducing strong anti-tumour immunity in peripheral and in tumour microenvironment, holding promising potential to treat HPV-induced cancer and to prevent cancer recurrence.

mRNA vaccines encoding fusion proteins of monkeypox virus antigens protect mice from vaccinia virus challenge.

The recent outbreaks of mpox have raised concerns over the need for effective vaccines. However, the current approved vaccines have either been associated with safety concerns or are in limited supply. mRNA vaccines, which have shown high efficacy and safety against SARS-CoV-2 infection, are a promising alternative. In this study, three mRNA vaccines are developed that encode monkeypox virus (MPXV) proteins A35R and M1R, including A35R extracellular domain -M1R fusions (VGPox 1 and VGPox 2) and a mixture of encapsulated full-length mRNAs for A35R and M1R (VGPox 3). All three vaccines induce early anti-A35R antibodies in female Balb/c mice, but only VGPox 1 and 2 generate detectable levels of anti-M1R antibodies at day 7 after vaccination. However, all three mRNA vaccine groups completely protect mice from a lethal dose of vaccinia virus (VACV) challenge. A single dose of VGPox 1, 2, and 3 provide protection against the lethal viral challenge within 7 days post-vaccination. Long-term immunity and protection were also observed in all three candidates. Additionally, VGPox 2 provided better passive protection. These results suggest that the VGPox series vaccines enhance immunogenicity and can be a viable alternative to current whole-virus vaccines to defend against mpox.

Heterologous boost with mRNA vaccines against SARS-CoV-2 Delta/Omicron variants following an inactivated whole-virus vaccine.

The coronavirus SARS-CoV-2 has mutated quickly and caused significant global damage. This study characterizes two mRNA vaccines ZSVG-02 (Delta) and ZSVG-02-O (Omicron BA.1), and associating heterologous prime-boost strategy following the prime of a most widely administrated inactivated whole-virus vaccine (BBIBP-CorV). The ZSVG-02-O induces neutralizing antibodies that effectively cross-react with Omicron subvariants. In naïve animals, ZSVG-02 or ZSVG-02-O induce humoral responses skewed to the vaccine's targeting strains, but cellular immune responses cross-react to all variants of concern (VOCs) tested. Following heterologous prime-boost regimes, animals present comparable neutralizing antibody levels and superior protection against Delta and Omicron BA.1variants. Single-boost only generated ancestral and omicron dual-responsive antibodies, probably by "recall" and "reshape" the prime immunity. New Omicron-specific antibody populations, however, appeared only following the second boost with ZSVG-02-O. Overall, our results support a heterologous boost with ZSVG-02-O, providing the best protection against current VOCs in inactivated virus vaccine-primed populations.

Two-Color CRISPR Imaging Reveals Dynamics of Herpes Simplex Virus 1 Replication Compartments and Virus-Host Interactions.

Real-time imaging tools for single-virus tracking provide spatially resolved, quantitative measurements of viral replication and virus-host interactions. However, efficiently labeling both parental and progeny viruses in living host cells remains challenging. Here, we developed a novel strategy using the CRISPR-Tag system to detect herpes simplex virus 1 (HSV-1) DNA in host cells. We created recombinant HSV-1 harboring an ~600-bp CRISPR-Tag sequence which can be sufficiently recognized by dCas9-fluorescent protein (FP) fusion proteins. CRISPR-assisted single viral genome tracking (CASVIT) allows us to assess the temporal and spatial information of viral replication at the single-cell level. Combining the advantages of SunTag and tandem split green fluorescent protein (GFP) in amplifying fluorescent signals, dSaCas9-tdTomato10x and dSpCas9-GFP14x were constructed to enable efficient two-color CASVIT detection. Real-time two-color imaging indicates that replication compartments (RCs) frequently come into contact with each other but do not mix, suggesting that RC territory is highly stable. Last, two-color CASVIT enables simultaneous tracking of viral DNA and host chromatin, which reveals that a dramatic loss of telomeric and centromeric DNA occurs in host cells at the early stage of viral replication. Overall, our work has established a framework for developing CRISPR-Cas9-based imaging tools to study DNA viruses in living cells. IMPORTANCE Herpes simplex virus 1 (HSV-1), a representative of the family Herpesviridae, is a ubiquitous pathogen that can establish lifelong infections and widely affects human health. Viral infection is a dynamic process that involves many steps and interactions with various cellular structures, including host chromatin. A common viral replication strategy is to form RCs that concentrate factors required for viral replication. Efficient strategies for imaging the dynamics of viral genomes, RC formation, and the interaction between the virus and host offer the opportunity to dissect the steps of the infection process and determine the mechanism underlying each step. We have developed an efficient two-color imaging system based on CRISPR-Cas9 technology to detect HSV-1 genomes quantitatively in living cells. Our results shed light on novel aspects of RC dynamics and virus-host interactions.

Complex q-rung orthopair fuzzy Frank aggregation operators and their application to multi-attribute decision making.

The complex q-rung orthopair fuzzy sets (Cq-ROFSs) can serve as a generalization of q-rung orthopair fuzzy sets (q-ROFSs) and complex fuzzy sets FS (CFSs). Cq-ROFSs provide more freedom for people handling uncertainty and vagueness by the truth and falsity grades on the condition that the sum of the q-powers of the real part and imaginary part is within the unit interval. Further, Frank operational laws are an extended form of Archimedes' T mode and Archimedes' S mode and Frank aggregation operators have a certain parameter which makes them more flexible and more generalized than many other aggregation operators in the process of information fusion. The objectives of this paper are to extend the Frank operations to the complex q-rung orthopair fuzzy environment and to introduce their score function and accuracy function. Meanwhile, some complex q-rung fuzzy Frank aggregation operators are developed, such as the complex q-rung orthopair fuzzy Frank weighted averaging (Cq-ROFFWA) operator, the complex q-rung orthopair fuzzy Frank weighted geometric (Cq-ROFFWG) operator, and the complex q-rung orthopair fuzzy Frank ordered weighted averaging (Cq-ROFFOWA) operator, and their special cases are discussed. In addition, an innovative MADM method is introduced according to the propounded operators to deal with multi-attribute decision-making problems under the complex q-rung orthopair fuzzy environment. Consequently, the practicability and effectiveness of the created methods are proposed by parameter exploration and comparative analysis.

Abundance of natural resources and environmental sustainability: the roles of manufacturing value-added, urbanization, and permanent cropland.

Sustainable management of natural resources and green urbanization is crucial because it assists the use of resources wisely without unnecessary use and without affecting future generations' needs. This research aims to examine the impact of the abundance of natural resources on China's CO2 emissions while moderating the roles of manufacturing value-added, urbanization, and permanent cropland from 1970 to 2016. This study developed a comprehensive empirical analysis, applied advanced econometric methodologies, and used the generalized linear model (GLM) and robust generalized estimating equation (GEE). Overall, the results conclude that natural resource abundance and permanent cropland are negatively associated with China's CO2 emissions. However, urbanization and manufacturing value-added are negatively related to those CO2 emissions. Moreover, natural resource abundance and permanent cropland improve environmental sustainability while urbanization and manufacturing value-added deteriorate that environmental sustainability. It is suggested that policymakers should promote sustainable management of natural resources and encourage economic usage of natural resources to boost resilient ecosystems; shape sustainable places, lifestyles, and communities; and consume natural resources less. Additionally, policymakers should consider collaborating with landscape architects, urban planners, engineers, transport planners, ecologists, sociologists, physiologists, economists, physicists, and other specialists to develop green urban communities. The limitations of the study and directions for future research are discussed.

Interactome and Ubiquitinome Analyses Identify Functional Targets of Herpes Simplex Virus 1 Infected Cell Protein 0.

Herpes simplex virus 1 (HSV-1) can productively infect multiple cell types and establish latent infection in neurons. Infected cell protein 0 (ICP0) is an HSV-1 E3 ubiquitin ligase crucial for productive infection and reactivation from latency. However, our knowledge about its targets especially in neuronal cells is limited. We confirmed that, like in non-neuronal cells, ICP0-null virus exhibited major replication defects in primary mouse neurons and Neuro-2a cells. We identified many ICP0-interacting proteins in Neuro-2a cells, 293T cells, and human foreskin fibroblasts by mass spectrometry-based interactome analysis. Co-immunoprecipitation assays validated ICP0 interactions with acyl-coenzyme A thioesterase 8 (ACOT8), complement C1q binding protein (C1QBP), ovarian tumour domain-containing protein 4 (OTUD4), sorting nexin 9 (SNX9), and vimentin (VIM) in both Neuro-2a and 293T cells. Overexpression and knockdown experiments showed that SNX9 restricted replication of an ICP0-null but not wild-type virus in Neuro-2a cells. Ubiquitinome analysis by immunoprecipitating the trypsin-digested ubiquitin reminant followed by mass spectrometry identified numerous candidate ubiquitination substrates of ICP0 in infected Neuro-2a cells, among which OTUD4 and VIM were novel substrates confirmed to be ubiquitinated by transfected ICP0 in Neuro-2a cells despite no evidence of their degradation by ICP0. Expression of OTUD4 was induced independently of ICP0 during HSV-1 infection. Overexpressed OTUD4 enhanced type I interferon expression during infection with the ICP0-null but not wild-type virus. In summary, by combining two proteomic approaches followed by confirmatory and functional experiments, we identified and validated multiple novel targets of ICP0 and revealed potential restrictive activities of SNX9 and OTUD4 in neuronal cells.

Clean energy investment and financial development as determinants of environment and sustainable economic growth: evidence from China.

Environmental sustainability has become one of the most common phrases in discussions about climate change. This study examines the impact of clean energy investment and financial development on environmental sustainability and China's economic growth, using manufacturing value-added and urbanization as moderator variables from 1970 to 2016. We used advanced econometric methodologies for empirical estimations, used structural break unit root tests, fully modified least square, dynamic least square, and robust least square multiple regressions for long-run estimates. Overall, the results determine that clean energy investment is negatively associated with CO2 emissions and ecological footprint while positively associated with China's economic growth. Financial development, manufacturing value-added, and urbanization are positively associated with CO2 emissions, ecological footprint, and China's economic growth. Moreover, clean energy investment improves environmental sustainability at the expense of economic growth. Financial development, manufacturing value-added, and urbanization encourage economic growth at the expense of environmental sustainability. We argued that the local governments play a critical role in lifting the outstanding barriers to cleaner energy investment, addressing disincentives, including pricing carbon dioxide emissions, reforming inefficient nonrenewable fossil fuel subsidies, and addressing regulatory and market rigidities that can undesirably affect the attractiveness of clean energy investment. Policymakers are suggested to encourage green finance strategy for the financial sector to broader sustainable development objectives. At the heart of green manufacturing, industrialization policies are needed to integrate diverse intentions, like inclusive growth, environmental protection, and productivity through a wider range of economic, social, and environmental policy frameworks suitable for decoupling growth from social and environmental unsustainability.

Decomposition and decoupling research of Chinese power sector carbon emissions through the consumption accounting principle.

The Logarithmic Mean Divisia Index (LMDI) model is applied to study Chinese national and regional power sector carbon emission changes through consumption side from 2003 to 2017, and regional power sector carbon emissions are estimated through the production and consumption accounting principle. The two-factor ANOVA and one-factor ANOVA are used to compare the differences of regional power sector carbon emissions through the two principles. In addition, the Tapio decoupling analysis model is used to investigate the decoupling state between carbon emissions of power sector and the corresponding driving forces through the consumption side. There are several results: (1) Through the two different principles, regional power sector carbon emissions are statistically significant, yet national power sector carbon emissions are not statistically significant; (2) the main factors contributing to the power sector carbon emission growth are economic scale effect and income level effect, and the main restraining factors are electricity consumption carbon intensity effect and production sector electricity intensity effect; (3) the highest contribution effect to the decoupling indexes between various influencing factors and power sector carbon emissions was scale effect, and technical effect had the second largest contribution value; (4) in 2003-2017, economic scale effect was the first significant factor causing the difference of regional power sector carbon emissions, followed by production sector electricity intensity effect and electricity consumption carbon intensity through the regional decomposition analysis. Finally, this paper gives some targeted suggestions for the low-carbon development of the power sector through national and regional perspectives.

circAMOTL1L Suppresses Renal Cell Carcinoma Growth by Modulating the miR-92a-2-5p/KLLN Pathway.

Accumulating evidence indicates that the dysregulation of circular RNAs (circRNAs) contributes to tumor progression; however, the regulatory functions of circRNAs in renal cell carcinoma (RCC) remain largely unknown. In this study, the function and underlying mechanism of circAMOTL1L in RCC progression were explored. qRT-PCR showed the downregulation of circAMOTL1L in RCC tissues and cell lines. The decrease in circAMOTL1L expression correlated with the tumor stage, metastasis, and poor prognosis in patients with RCC. Functional experiments revealed that circAMOTL1L inhibited cell proliferation and increased apoptosis in RCC cells. Subcutaneous implantation with circAMOTL1L-overexpressing cells in nude mice decreased the growth ability of the xenograft tumors. Mechanistically, circAMOTL1L served as a sponge for miR-92a-2-5p in upregulating KLLN (killin, p53-regulated DNA replication inhibitor) expression validated by bioinformatics analysis, oligo pull-down, and luciferase assays. Further, reinforcing the circAMOTL1L-miR-92a-2-5p-KLLN axis greatly reduced the growth of RCC in vivo. Conclusively, our findings demonstrate that circAMOTL1L has an antioncogenic role in RCC growth by modulating the miR-92a-2-5p-KLLN pathway. Thus, targeting the novel circAMOTL1L-miR-92a-2-5p-KLLN regulatory axis might provide a therapeutic strategy for RCC.

Whole-genome re-sequencing association study on yearling wool traits in Chinese fine-wool sheep.

To investigate single nucleotide polymorphism (SNP) loci associated with yearling wool traits of fine-wool sheep for optimizing marker-assisted selection and dissection of the genetic architecture of wool traits, we conducted a genome-wide association study (GWAS) based on the fixed and random model circulating probability unification (FarmCPU) for yearling staple length (YSL), yearling mean fiber diameter (YFD), yearling greasy fleece weight (YGFW), and yearling clean fleece rate (YCFR) by using the whole-genome re-sequenced data (totaling 577 sheep) from the following four fine-wool sheep breeds in China: Alpine Merino sheep (AMS), Chinese Merino sheep (CMS), Qinghai fine-wool sheep (QHS), and Aohan fine-wool sheep (AHS). A total of 16 SNPs were detected above the genome-wise significant threshold (P = 5.45E-09), and 79 SNPs were located above the suggestive significance threshold (P = 5.00E-07) from the GWAS results. For YFD and YGFW traits, 7 and 9 SNPs reached the genome-wise significance thresholds, whereas 10 and 12 SNPs reached the suggestive significance threshold, respectively. For YSL and YCFR traits, none of the SNPs reached the genome-wise significance thresholds, whereas 57 SNPs exceeded the suggestive significance threshold. We recorded 14 genes located at the region of ±50-kb near the genome-wise significant SNPs and 59 genes located at the region of ±50-kb near the suggestive significant SNPs. Meanwhile, we used the Average Information Restricted Maximum likelihood algorithm (AI-REML) in the "HIBLUP" package to estimate the heritability and variance components of the four desired yearling wool traits. The estimated heritability values (h2) of YSL, YFD, YGFW, and YCFR were 0.6208, 0.7460, 0.6758, and 0.5559, respectively. We noted that the genetic parameters in this study can be used for fine-wool sheep breeding. The newly detected significant SNPs and the newly identified candidate genes in this study would enhance our understanding of yearling wool formation, and significant SNPs can be applied to genome selection in fine-wool sheep breeding.

Efficient establishment of reactivatable latency by an acyclovir-resistant herpes simplex virus 1 thymidine kinase substitution mutant with reduced neuronal replication.

Herpes simplex virus 1 causes recurrent diseases by reactivating from latency, which requires the viral thymidine kinase (TK) gene. An acyclovir-resistant mutation in TK, V204G, was previously repeatedly identified in a patient with recurrent herpetic keratitis. We found that compared with its parental strain KOS, a laboratory-derived V204G mutant virus was impaired in replication in cultured neurons despite little defect in non-neuronal cells. After corneal inoculation of mice, V204G exhibited defects in ocular replication that were modest over the first three days but severe afterward. Acute replication of V204G in trigeminal ganglia was significantly impaired. However, V204G established latency with viral loads as high as KOS and reactivated with high frequency albeit reduced kinetics. Acyclovir treatment that drastically decreased ocular and ganglionic replication of KOS had little effect on V204G. Thus, despite reduced neuronal replication due to impaired TK activity, this clinically relevant drug-resistant mutant can efficiently establish reactivatable latency.

Genome-wide association studies detects candidate genes for wool traits by re-sequencing in Chinese fine-wool sheep.

BACKGROUND: The quality and yield of wool determine the economic value of the fine-wool sheep. Therefore, discovering markers or genes relevant to wool traits is the cornerstone for the breeding of fine-wool sheep. In this study, we used the Illumina HiSeq X Ten platform to re-sequence 460 sheep belonging to four different fine-wool sheep breeds, namely, Alpine Merino sheep (AMS), Chinese Merino sheep (CMS), Aohan fine-wool sheep (AHS) and Qinghai fine-wool sheep (QHS). Eight wool traits, including fiber diameter (FD), fiber diameter coefficient of variance (FDCV), fiber diameter standard deviation (FDSD), staple length (SL), greasy fleece weight (GFW), clean wool rate (CWR), staple strength (SS) and staple elongation (SE) were examined. A genome-wide association study (GWAS) was performed to detect the candidate genes for the eight wool traits. RESULTS: A total of 8.222 Tb of raw data was generated, with an average of approximately 8.59X sequencing depth. After quality control, 12,561,225 SNPs were available for analysis. And a total of 57 genome-wide significant SNPs and 30 candidate genes were detected for the desired wool traits. Among them, 7 SNPs and 6 genes are related to wool fineness indicators (FD, FDCV and FDSD), 10 SNPs and 7 genes are related to staple length, 13 SNPs and 7 genes are related to wool production indicators (GFW and CWR), 27 SNPs and 10 genes associated with staple elongation. Among these candidate genes, UBE2E3 and RHPN2 associated with fiber diameter, were found to play an important role in keratinocyte differentiation and cell proliferation. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results, revealed that multitude significant pathways are related to keratin and cell proliferation and differentiation, such as positive regulation of canonical Wnt signaling pathway (GO:0090263). CONCLUSION: This is the first GWAS on the wool traits by using re-sequencing data in Chinese fine-wool sheep. The newly detected significant SNPs in this study can be used in genome-selective breeding for the fine-wool sheep. And the new candidate genes would provide a good theoretical basis for the fine-wool sheep breeding.

Regulation of host and virus genes by neuronal miR-138 favours herpes simplex virus 1 latency.

MicroRNA miR-138, which is highly expressed in neurons, represses herpes simplex virus 1 (HSV-1) lytic cycle genes by targeting viral ICP0 messenger RNA, thereby promoting viral latency in mice. We found that overexpressed miR-138 also represses lytic processes independently of ICP0 in murine and human neuronal cells; therefore, we investigated whether miR-138 has targets besides ICP0. Using genome-wide RNA sequencing/photoactivatable ribonucleoside-enhanced crosslinking and immunoprecipitation followed by short interfering RNA knockdown of candidate targets, we identified the host Oct-1 and Foxc1 messenger mRNAs as miR-138's targets, whose gene products are transcription factors important for HSV-1 replication in neuronal cells. OCT-1 has a known role in the initiation of HSV transcription. Overexpression of FOXC1, which was not known to affect HSV-1, promoted HSV-1 replication in murine neurons and ganglia. CRISPR-Cas9 knockout of FOXC1 reduced viral replication, lytic gene expression and miR-138 repression in murine neuronal cells. FOXC1 also collaborated with ICP0 to decrease heterochromatin on viral genes and compensated for the defect of an ICP0-null virus. In summary, miR-138 targets ICP0, Oct-1 and Foxc1 to repress HSV-1 lytic cycle genes and promote epigenetic gene silencing, which together enable favourable conditions for latent infection.

Does multilateral environmental diplomacy improve environmental quality? The case of the United States.

International environmental agreements have multiplied over the last five decades. We examine the impact of multilateral environmental diplomacy on carbon dioxide (CO2) emissions in the presence of capital formation, renewable energy consumption, and economic growth using the framework of the Environment Kuznets Curve (EKC) and data from the United States from 1980 to 2015. We developed a comprehensive empirical analysis using Zivot-Andrews structural break unit root tests. Co-integration analysis indicates long-run relationships of the variables. The results of the generalized linear models (GLMs) and robust least secure (ROBUSTLS) approach reveal that environmental diplomacy, capital formation, and economic growth deteriorate environmental quality in the long run, while renewable energy consumption improves it. These results support the EKC hypothesis for the United States and suggest that, in the early stages, increased environmental diplomacy stimulates CO2 emissions to a point, after which CO2 emissions start declining with further increases in international commitments and strong diplomatic relationships among countries. Policy implications for the United States are presented.

A global analysis of CNVs in Chinese indigenous fine-wool sheep populations using whole-genome resequencing.

BACKGROUND: Copy number variation (CNV) is an important source of genetic variation that has a significant influence on phenotypic diversity, economically important traits and the evolution of livestock species. In this study, the genome-wide CNV distribution characteristics of 32 fine-wool sheep from three breeds were analyzed using resequencing. RESULTS: A total of 1,747,604 CNVs were detected in this study, and 7228 CNV regions (CNVR) were obtained after merging overlapping CNVs; these regions accounted for 2.17% of the sheep reference genome. The average length of the CNVRs was 4307.17 bp. "Deletion" events took place more frequently than "duplication" or "both" events. The CNVRs obtained overlapped with previously reported sheep CNVRs to variable extents (4.39-55.46%). Functional enrichment analysis showed that the CNVR-harboring genes were mainly involved in sensory perception systems, nutrient metabolism processes, and growth and development processes. Furthermore, 1855 of the CNVRs were associated with 166 quantitative trait loci (QTL), including milk QTLs, carcass QTLs, and health-related QTLs, among others. In addition, the 32 fine-wool sheep were divided into horned and polled groups to analyze for the selective sweep of CNVRs, and it was found that the relaxin family peptide receptor 2 (RXFP2) gene was strongly influenced by selection. CONCLUSIONS: In summary, we constructed a genomic CNV map for Chinese indigenous fine-wool sheep using resequencing, thereby providing a valuable genetic variation resource for sheep genome research, which will contribute to the study of complex traits in sheep.

Decoupling analysis between carbon dioxide emissions and the corresponding driving forces by Chinese power industry.

This study applied the Logarithmic Mean Divisia Index (LMDI) model to analyze changes in carbon dioxide emissions by Chinese power industry from 2003 to 2017. Besides, the Tapio decoupling analysis model is applied to explore the decoupling states between power industry carbon dioxide emissions and the corresponding influence factors. Several conclusions were obtained: (1) the power industry carbon dioxide emissions only displayed a slight downward trend during 2011-2012, 2013-2014, and 2014-2015; (2) the factors promoting the growth in power industry carbon dioxide emissions are energy consumption structure effect and total power generation effect. Power generation structural effect and fossil energy conversion efficiency effect inhibit the power industry carbon dioxide emissions from increasing, but they were far from offsetting the positive contribution value brought by total power generation effect; (3) changes in carbon dioxide emissions by the power industry were not sensitive to the change of fossil energy conversion efficiency and power production structure but were sensitive to the change of total power generation; (4) the contributions of technical effect were higher than those of structural effect on the decoupling index between impact factors and power industry carbon dioxide emissions.

The dynamic links among energy consumption, tourism growth, and the ecological footprint: the role of environmental quality in 38 IEA countries.

We examine the impact of energy consumption and tourism growth on the ecological footprints and economic growth of 38 International Energy Agency (IEA) countries, as moderated by labor and capital, over the 1995-2018 period. We develop a comprehensive empirical analysis that applies second-generation unit root and cross-section dependence analysis. The co-integration analysis indicates long-run relationships among the variables, while the fully modified least square (FMOLS) approach specifies that energy consumption promotes economic growth and degrades environmental quality in the long run, and tourism growth improves environmental quality and stimulates economic growth in the long run. In addition, the result of a pairwise Granger causality test reveals bidirectional causality between energy consumption and economic growth and unidirectional causality from the ecological footprint to energy consumption. Policy implications for theory and practice and directions for future research in the area are presented.

The impact of natural resources, energy consumption, and population growth on environmental quality: Fresh evidence from the United States of America.

We examine the impact of the amount of natural resources, energy consumption, and population growth on the ecological footprint and CO2 emissions using data of the United States (USA) from 1971 to 2016. In the course of this study, we developed a comprehensive empirical analysis and applied structural break Zivot-Andrews and Breakpoint ADF unit-roots tests for stationary analysis. The co-integration analysis indicates long-run relationships among the variables. Subsequent findings of the generalized method of moments (GMM), generalized linear model (GLM), and robust least-squares reveal an inverse relationship of natural resources and renewable energy consumption with the ecological footprint and CO2 emissions, while non-renewable energy consumption, population growth, and biocapacity have a positive relationship with the ecological footprint and CO2 emissions. Overall, our findings suggest that natural resources and renewable energy consumption improve environmental quality in the long run, while population growth and non-renewable energy consumption contribute to its deterioration. In addition, the result of pairwise Granger causality reveals that bidirectional causality runs between natural resources and CO2 emissions and between natural resources and the ecological footprint, while unidirectional causality runs from population growth to energy consumption, the ecological footprint, and CO2 emissions. Policymakers in the USA are encouraged to establish policies that control the excessive use of natural resources, promote sustainable lifestyles, develop energy-efficient carbon pricing, and fix the ecological budget to secure a sustainable future for the country.

Enhancing the developmental competence of prepubertal lamb oocytes by supplementing the in vitro maturation medium with sericin and the fibroblast growth factor 2 - leukemia inhibitory factor - Insulin-like growth factor 1 combination.

Poor development of oocytes from prepubertal animals is a major factor that hinders the application of the technology, juvenile in vitro embryo transfer (JIVET). The aim of this study was to explore the possibility of improving the developmental competence of prepubertal oocytes by supplementing the oocyte in vitro maturation (IVM) medium with antioxidants and cytokines. Effects of two antioxidants, melatonin and sericin, were first examined. The results showed that melatonin had no significant beneficial roles on the lamb oocyte development, while 0.5% sericin supplemented during IVM significantly increased the blastocyst rate of lamb oocytes (46.5% vs 19.2% in control, P < 0.05). Next, effects of two kinds of combined supplements, insulin-transferrin-selenium (ITS) and fibroblast growth factor 2(FGF2)-leukemia inhibitory factor (LIF)-insulin-like growth factor1 (IGF1)(FLI) were tested. The results indicated that addition of FLI, but not ITS, in the IVM medium, significantly improved the blastocyst development of lamb oocytes (43.9% in FLI group vs 21.6% in control, P < 0.05). Further comparison showed that the developmental competence of oocytes was not significantly different among supplementation with sericin or FLI alone or both, all of which generated similar outcomes of blastocyst yield to the supplementation with adult follicular fluid. Finally, 27 blastocysts produced from lamb oocytes matured in the presence of sericin and FLI were transferred into 18 recipients, of which 9 were pregnant. This study suggests that the developmental competence of prepubertal oocytes can be improved by supplementing IVM medium with relevant agents like sericin and cytokines.