Impacts of litter microbial community on litter decomposition in the absence of soil microorganisms.

What is the effect of phyllosphere microorganisms on litter decomposition in the absence of colonization by soil microorganisms? Here, we simulated the litter standing decomposition stage in the field to study the differences in the composition and structure of the phyllosphere microbial community after the mixed decomposition of Populus × canadensis and Pinus sylvestris var. mongolica litter. After 15 months of mixed decomposition, we discovered that litters that were not in contact with soil had an antagonistic effect (the actual decomposition rate was 18.18%, which is lower than the expected decomposition rate) and the difference between the litters themselves resulted in a negative response to litter decomposition. In addition, there was no significant difference in bacterial and fungal community diversity after litter decomposition. The litter bacterial community was negatively responsive to litter properties and positively responsive to the fungal community. Importantly, we found that bacterial communities had a greater impact on litter decomposition than fungi. This study has enriched our understanding of the decomposition of litter itself and provided a theoretical basis for further exploring the "additive and non-additive effects" of litter decomposition and the mechanism of microbial drive. IMPORTANCE: The study of litter decomposition mechanism plays an important role in the material circulation of the global ecosystem. However, previous studies have often looked at contact with soil as the starting point for decomposition. But actually, standing litter is very common in forest ecosystems. Therefore, we used field simulation experiments to simulate the decomposition of litters without contact with soil for 15 months, to explore the combined and non-added benefits of the decomposition of mixed litters, and to study the influence of microbial community composition on the decomposition rate while comparing the differences of microbial communities.

Enhancing Salt Tolerance in Poplar Seedlings through Arbuscular Mycorrhizal Fungi Symbiosis.

Poplar (Populus spp.) is a valuable tree species with multiple applications in afforestation. However, its growth in saline areas, including coastal regions, is limited. This study aimed to investigate the physiological mechanisms of arbuscular mycorrhizal fungi (AMF) symbiosis with 84K (P. alba × P. tremula var. glandulosa) poplar under salt stress. We conducted pot experiments using NaCl solutions of 0 mM (control), 100 mM (moderate stress), and 200 mM (severe stress) and evaluated the colonization of AMF and various physiological parameters of plants, including photosynthesis, biomass, antioxidant enzyme activity, nutrients, and ion concentration. Partial least squares path modeling (PLS-PM) was employed to elucidate how AMF can improve salt tolerance in poplar. The results demonstrated that AMF successfully colonized the roots of plants under salt stress, effectively alleviated water loss by increasing the transpiration rate, and significantly enhanced the biomass of poplar seedlings. Mycorrhiza reduced proline and malondialdehyde accumulation while enhancing the activity of antioxidant enzymes, thus improving plasma membrane stability. Additionally, AMF mitigated Na+ accumulation in plants, contributing to the maintenance of a favorable ion balance. These findings highlight the effectiveness of using suitable AMF to improve conditions for economically significant tree species in salt-affected areas, thereby promoting their utilization.

More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites.

Recently, a study compared the effect size and statistical power of covariance-based structural equation modeling (CB-SEM) and path analysis using various types of composite scores (Deng, L., & Yuan, K.-H., Behavior Research Methods, 55, 1460-1479, 2023). This comparison uses nine empirical datasets to estimate eleven models. Based on the meta-comparison, that study concludes that path analysis via weighted composites yields "path coefficients with less relative errors, as reflected by greater effect size and statistical power" (ibidem, p. 1475). In our paper, we object to this central conclusion. We demonstrate that the justification these authors provided for comparing CB-SEM and path analysis via weighted composites is not well grounded. Similarly, we explain that their employed study design, i.e., a meta-comparison, is very limited in its ability to compare the effect size and power delivered across these methods. Finally, we replicated Deng and Yuan's (ibidem) meta-comparison and show that CB-SEM using the normal-distribution-based maximum likelihood estimator does not necessarily deliver smaller effect sizes than path analysis via composites if a different scaling method is employed for CB-SEM.

Effects of iron additives on the removal of antibiotics and antibiotic resistance genes in anaerobic fermentation of food waste.

The presence of antibiotics and antibiotic resistance genes (ARGs) in food waste (FW) during anaerobic fermentation poses significant environmental and health risks. This study elucidated the potential of iron additives, specifically 500-nm and 50-nm zero-valent iron (ZVI) and magnetite, in mitigating these contaminants. These findings revealed that 500-nm magnetite significantly reduced tetracyclines by 81.04%, while 500-nm ZVI effectively reduced cefotaxime by 89.90%. Furthermore, both 500-nm and 50-nm ZVI were observed to decrease different types and abundance of heavy metal resistance and virulence genes. Interestingly, while 500-nm ZVI reduced the overall abundance of ARGs by 50%, 500-nm magnetite primarily reduced the diversity of ARGs without significantly impacting their abundance. These results elucidate the efficacy of iron additives in addressing antibiotic contamination and resistance during the anaerobic fermentation process of FW. The findings acquired from this study mitigate the development of innovative and environmentally sustainable technologies for FW treatment, emphasizing the reduction of environmental risks and enhancement of treatment efficiency.

The greenhouse effect of antibiotics: The influence pathways of antibiotics on methane release from freshwater sediment.

The impact of antibiotics on methane (CH4) release from sediment involves both CH4 production and consumption processes. However, most relevant studies lack a discussion of the pathways by which antibiotics affect CH4 release and do not highlight the role played by the sediment chemical environment in this influence mechanism. Here, we collected field surface sediments and grouped them with various antibiotic combination concentration gradients (50, 100, 500, 1000 ng g-1) under a 35-day indoor anaerobic constant temperature incubation. We found that the positive effect of antibiotics on sediment CH4 release potential appeared later than the positive effect on sediment CH4 release flux. Still, the positive effect of high-concentration antibiotics (500, 1000 ng g-1) occurred with a lag in both processes. Also, the positive effect of high-concentration antibiotics was significantly higher than low-concentration antibiotics (50, 100 ng g-1) in the later incubation period (p < 0.05). We performed a multi-collinearity assessment of sediment biochemical indicators, followed by a generalized linear model with negative binomial regression (GLM-NB) to obtain essential variables. In particular, we conducted the interaction analysis on CH4 release potential and flux regression for the influence pathways construction. The partial least-squares path modeling (PLS-PM) demonstrated that the positive effect of antibiotics on CH4 release (Total effect = 0.2579) was primarily attributed to their effect on the sediment chemical environment (Direct effect = 0.5107). These findings greatly expand our understanding of the antibiotic greenhouse effect in freshwater sediment. Further studies should more carefully consider the effects of antibiotics on the sediment chemical environment, and continuously improve the mechanistic studies of antibiotics on sediment CH4 release.

How can the transition from office to telework be managed? The impact of tasks and workplace suitability on collaboration and work performance.

COVID-19 made evident the need for workplace digital transformation due to a rapid transition from office to remote work. Therefore, employers must make telework suitable for office workers who suddenly became permanent teleworkers. By using partial least squares path modeling, this article suggests the defining of telework tasks suitability and of telework workplace suitability by performing an empirical study with 691 employees who had experienced a rapid transition from office work to remote work during the pandemic. Both telework tasks suitability and telework workplace suitability are found to have a positive relationship with collaboration and work performance. Employers should therefore especially focus on communication technology when expecting employees work from home to improve work performance and enable collaboration to prevent them from feeling isolated. This study is the first to define telework tasks suitability and workplace suitability for enabling collaboration and improving work performance of teleworkers after an enforced transition from office working to teleworking.

Influence of site-specific factors on antibiotic resistance in agricultural soils of Yangtze River Delta: An integrated study of multi-factor modeling.

Agricultural soils are important reservoirs for antibiotic resistance genes (ARGs), which is closely linked to soil microorganisms. Environmental factors and co-existed pollutants may function as promoters or inhibitors for ARG proliferation to influence the agriculture green development. However, research focusing on the interaction of potential environmental drivers and ARGs is still lacking in agricultural soils. Here, we explored the microbial profile in 241 soil samples in Yangtze River Delta, and analyzed the relationship of microbial structures, ARGs, and typical site-specific factors. We found that the abundance of most ARGs was negatively correlated with the ratio of fungi and bacteria (F/B), whereas positively correlated with the ratio of gram-positive and gram-negative microbes (G+/G-). The co-occurrence network revealed significant associations among 18 site-specific factors, including 6 meteorological factors, 5 soil physicochemical properties, 5 co-existed organic pollutants, and 2 co-existed heavy metals. Random forest analysis demonstrated that F/B was mainly influenced by soil organic matters and co-existed polychlorinated biphenyls, while G+/G- was predominately regulated by soil total phosphorus and moisture content, which possibly resulting in their difference relationship with ARG abundance. Besides, the contribution of meteorological factors (>30%) in the explanation for F/B and G+/G- structures was the highest among all the site-specific factors. Together with path analysis showing meteorological factors probably affecting the ARG abundance through direct positive ways or indirect paths via physicochemical properties, microbial structure, and co-existed organic pollutants, we considered meteorological factors as the potential promoters for ARG proliferation. Collectively, these results increase our understanding of agricultural soils as hotspots of ARGs, and highlight the underappreciated role of meteorological factors as potential promoters for soil ARGs, providing reference for us to regulate ARG pollution scientifically to improve the development of green agriculture.

Anthropogenic impacts on antibiotic resistance genes and their hosts from pristine to urban river using metagenomic and binning approaches.

Driven by anthropogenic pressure, Antibiotic resistance genes (ARGs) could transfer from the environmental resistome into human commensals or even pathogens. The transport of ARGs through aquatic ecosystems is crucial and has attracted attention. Here, we employed metagenomic and binning to compare ARGs profiles, their co-occurrence with metal resistance genes (MRGs) and mobile genetic elements (MGEs), and their hosts between pristine and anthropogenic influenced rivers and explore the ecological mechanisms underlying the dissemination of ARGs induced by anthropogenic activities. The significantly increased relative abundance of macrolide-lincosamide-streptogramins, vancomycin, ß-lactam and sulfonamide resistance genes along the environmental gradient from pristine to polluted sediments implied that anthropogenic impact aided the emergence and dissemination of certain ARGs. At the lower reach of the Ba River, the higher ratios for contigs carrying more than one ARG suggested that anthropogenic pollution favored the co-occurrence of multiple ARGs. Anthropogenic pressures also increased the relative abundance of advantaged hosts, including Chloroflexi, Firmicutes and Euryarchaeota. At the lower reach of Ba River, Romboutsia timonensis carrying multiple ARGs and ICEs were successfully recovered, posing a serious threat to human health by affecting the metabolism of gut microbiomes. And Methanothrix soehngenii affiliated to archaea carrying multiple ARGs, MRGs and ICEs were also recovered from the lower Ba River. The partial least squares path modeling revealed that MGEs were the most predominant factors inducing the ARG profiles, and the antibiotic resistance could be enriched by co-transfer with MRGs. Furthermore, environmental factors could impact the ARG profiles indirectly by first influencing the ARGs' hosts.

A partial least squares-path model of causality among environmental deterioration indicators in the dry period of Paraopeba River after the rupture of B1 tailings dam in Brumadinho (Minas Gerais, Brazil).

This study investigated the collapse of B1 mine-tailings dam that occurred in 25 January 2019 and severely affected the Brumadinho region (Minas Gerais state, Brazil) socially, economically and environmentally. As regards water resources, the event impacted the Paraopeba River in the first 155.3 km counted from the dam site, meaning nearly half the main water course downstream of B1. In the impacted sector, high concentrations of tailings-related Al, Fe, Mn, P in river sediment-tailings mixtures and water were detected, as well as changes to the reflectance of riparian forests. In the river water, the metal concentrations raised significantly above safe levels. For caution, the water management authorities declared immediate suspension of Paraopeba River as drinking water source to the Metropolitan Region of Belo Horizonte (6 million people), irrespective of representing nearly 30% of all supply. In this study, the main purpose was to assess potential links between tailings distribution, river water composition and reflectance of forest vegetation, which worked out as latent variables in regression models. The latent variables were represented by numerous physical and chemical parameters, measured 4 times in 22 sites during the dry period of 2019. The modeling results suggested the release of aluminum and phosphorus from sand fractions in the mine tailings as major cause of water contamination. The NDVI changes were interpreted as environmental deterioration. Changes in redox potential may have raised manganese concentrations in surface water further affecting the forest NDVI. Distance from the B1 dam and dissolved calcium appear to attenuate deterioration. Overall, the regressions allowed robust prognoses of environmental deterioration in the Paraopeba River under low flow conditions. More importantly, they can be transposed to similar dam ruptures helping environmental authorities to decide upon measures that can bring the affected rivers to pre-rupture conditions.

Clarifying the beneficial effects of plant growth-promoting rhizobacteria for reducing abundances of antibiotic resistance genes during swine manure composting.

This study investigated the effects on antibiotic resistance genes (ARGs) and the related mechanisms of different plant growth-promoting rhizobacteria (PGPR) inoculation strategies during composting: no inoculation (CK), inoculation in initial phase (T1), inoculation in cooling phase (T2), and inoculation in both initial and cooling phases (T3). After composting, the total relative abundances (RAs) of ARGs decreased by 0.26 and 0.03 logs under T3 and T2, respectively, but increased by 0.05 and 0.22 logs under T1 and CK. The abundances of eight ARGs were lowest under T3, including some high risk ARGs with clinical importance. Bioavailable Cu significantly affected the readily removed ARGs, and PGPR inoculation decreased the bioavailability of Cu. T3 reduced the abundances of potential pathogen hosts, inhibited horizontal gene transfer by reducing the RAs of mobile gene elements (0.48 logs), and downregulated the expression of genes related to ARG propagation, thereby decreasing the ecological risk of ARGs.

Analyzing the Impact of Greenhouse Planting Strategy and Plant Architecture on Tomato Plant Physiology and Estimated Dry Matter.

Determine the level of significance of planting strategy and plant architecture and how they affect plant physiology and dry matter accumulation within greenhouses is essential to actual greenhouse plant management and breeding. We thus analyzed four planting strategies (plant spacing, furrow distance, row orientation, planting pattern) and eight different plant architectural traits (internode length, leaf azimuth angle, leaf elevation angle, leaf length, leaflet curve, leaflet elevation, leaflet number/area ratio, leaflet length/width ratio) with the same plant leaf area using a formerly developed functional-structural model for a Chinese Liaoshen-solar greenhouse and tomato plant, which used to simulate the plant physiology of light interception, temperature, stomatal conductance, photosynthesis, and dry matter. Our study led to the conclusion that the planting strategies have a more significant impact overall on plant radiation, temperature, photosynthesis, and dry matter compared to plant architecture changes. According to our findings, increasing the plant spacing will have the most significant impact to increase light interception. E-W orientation has better total light interception but yet weaker light uniformity. Changes in planting patterns have limited influence on the overall canopy physiology. Increasing the plant leaflet area by leaflet N/A ratio from what we could observe for a rose the total dry matter by 6.6%, which is significantly better than all the other plant architecture traits. An ideal tomato plant architecture which combined all the above optimal architectural traits was also designed to provide guidance on phenotypic traits selection of breeding process. The combined analysis approach described herein established the causal relationship between investigated traits, which could directly apply to provide management and breeding insights on other plant species with different solar greenhouse structures.

Microbial community competition rather than high-temperature predominates ARGs elimination in swine manure composting.

Aerobic composting is commonly used in pig manure treatment, however, antibiotic resistance genes (ARGs) and their unclear transformation during composting process make the treated manure land using risky. The effects of enhanced thermophilic phase strategy (external heating (HTC) and thermophiles inoculation (MC)) on ARGs removal and the underlying mechanisms were investigated during swine manure composting. HTC increased the total relative abundance (RA) of ARGs by 32.38%, and MC decreased by 21.50% compared to CK by the end of the composting. Mantel test indicated that it was not temperature (P > 0.05), but environmental parameters (pH, Electric Conductivity (EC), etc.) and metabolic products (nitrogen forms) significantly affected the ARGs profile. Partial least-squares path modeling (PLS-PM) suggested that microbial community structure (bacterial abundance and diversities) was the main factor for ARGs evolution. Co-occurrence analysis revealed that HTC could promote the propagation of ARG hosts in later stage of the composting because the strong selection of thermophiles resulted in ecological niches vacancy, and MC enhanced the competition between hosts and nonhosts for ecological niches by increasing thermophiles diversities. These results suggested that competitive inhibition to potential ARGs hosts could be a helpful strategy in ARGs threaten elimination during composting.

Succession of diazotroph community and functional gene response to inoculating swine manure compost with a lignocellulose-degrading consortium.

Diazotroph community contributes to the nitrogen mass and improves the agronomic quality of composting product, but their responses to microbial inoculation during composting are unclear. In this study, the lignocellulose-degrading consortium was inoculated at different levels (0%: CK (control) and 10%: T) to investigate their effects on the variations in the diazotroph community and functional gene during composting. In the later composting phase, the nifH gene copy number was 17.50-25.28% higher in T than CK. The nitrogenase abundance in CK and T were 0.042% and 0.046% in composting product, respectively. Network analysis indicated that inoculation affected the co-occurrence patterns of the diazotroph community and changed the keystone species composition. Partial least-squares path modeling showed that available carbon sources and the succession of the diazotroph community mainly determined the increased abundance of nifH gene. Microbial inoculation stimulated the diazotrophs activities, and was conducive to the nitrogen production in composting product.

Characteristics of phytoplankton-zooplankton communities and the roles in the transmission of antibiotic resistance genes under the pressure of river contamination.

Insight into the distribution of antibiotic resistance genes (ARGs) in phytoplankton-zooplankton communities (PZCs) is essential for the management and control of antibiotic resistance in aquatic ecosystems. This study characterized the profiles of PZCs and their carried ARGs in a typical urban river and ranked the factors (water physicochemical parameters, PZCs, bacterial abundance, and mobile genetic elements) influencing the dynamic of ARG profiles by the partial least squares path modeling. Results showed Cyanobacteria, Bacillariophyta and Chlorophyta were dominant phyla of phytoplankton, and Rotifera was with the highest abundance in zooplankton. River contamination markedly altered the structure of PZCs, increasing the abundance of phytoplankton and zooplankton, decreasing the diversity of phytoplankton while elevating in zooplankton. PZCs harbored large amounts of ARGs with average relative abundance of 2.35 × 10-2/copies nearly an order magnitude higher than the living water and most ARGs exhibited significant accumulation in PZCs with the aggravated environmental pollution. The partial least squares path modeling predicted the water parameters as the most important factor mainly playing indirect effects on ARGs via PZCs and bacterial communities, followed by mobile genetic elements as the most essential direct factor for ARGs profiles. Besides, PZCs were also important drivers for the carried ARGs via direct effects on the ARGs' composition and indirect effects on host bacterial communities of ARGs and their mobile genetic elements. The present study fills the gaps in knowledge about the distribution of ARGs in PZCs and provided a new perspective to decipher the key roles of PZCs in the maintenance and dissemination of ARGs in urban river ecosystems.

Need frustration and depressive symptoms in French older people: using a self-determination approach.

OBJECTIVES: To provide evidence of the relationship between basic psychological need frustration (BPNF) for autonomy, competence and relatedness, and depressive symptoms in French older people, and to explore the potential moderator effects of place of residence (home vs nursing home) on this relationship. METHODS: Partial least squares path modeling (PLS-PM) was used. A total of 410 French older people (212 women, 198 men, Mage = 77.13 years, SD = 9.19, age range: 60-98 years) voluntarily participated in the study and completed the measures of BPNF and depressive symptoms. Sociodemographic data were collected. RESULTS: Findings showed that for all the participants, competence and relatedness need frustration positively predicted depressive symptoms. More particularly, BPNF for relatedness significantly predicted depressive symptoms for older people living at home (ß = .18, p < .05), whereas BPNF for competence significantly predicted depressive symptoms for both participants living at home (ß = .25, p < .05) and in nursing homes (ß = .34, p < .05). Among participants living at home, results showed that BPNF for competence significantly predicted depressive symptoms (ß = .28, p < .05) across married participants, while BPNF for relatedness significantly predicted depressive symptoms (ß = .27, p < .05) across participants living alone. CONCLUSION: By focusing on BPNF and its relationship to depressive symptoms, this study suggests the importance of investigating further this concept, and alerts to the long-term consequences of frustration of competence and relatedness needs in older people.

Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path Modeling.

Partial least squares path modeling has been widely used for component-based structural equation modeling, where constructs are represented by weighted composites or components of observed variables. This approach remains a limited-information method that carries out two separate stages sequentially to estimate parameters (component weights, loadings, and path coefficients), indicating that it has no single optimization criterion for estimating the parameters at once. In general, limited-information methods are known to provide less efficient parameter estimates than full-information ones. To address this enduring issue, we propose a full-information method for partial least squares path modeling, termed global least squares path modeling, where a single least squares criterion is consistently minimized via a simple iterative algorithm to estimate all the parameters simultaneously. We evaluate the relative performance of the proposed method through the analyses of simulated and real data. We also show that from algorithmic perspectives, the proposed method can be seen as a block-wise special case of another full-information method for component-based structural equation modeling-generalized structured component analysis.

Autonomic Nervous System and Recall Modeling in Audiovisual Emotion-Mediated Advertising Using Partial Least Squares-Path Modeling.

Interest in improving advertisement impact on potential consumers has increased recently. One well-known strategy is to use emotion-based advertisement. In this approach, an emotional link with consumers is created, aiming to enhance the memorization process. In recent years, Neuromarketing techniques have allowed us to obtain more objective information on this process. However, the role of the autonomic nervous system (ANS) in the memorization process using emotional advertisement still needs further research. In this work, we propose the use of two physiological signals, namely, an electrocardiogram (heart rate variability, HRV) and electrodermal activity (EDA), to obtain indices assessing the ANS. We measured these signals in 43 subjects during the observation of six different spots, each conveying a different emotion (rational, disgust, anger, surprise, and sadness). After observing the spots, subjects were asked to answer a questionnaire to measure the spontaneous and induced recall. We propose the use of a statistical data-driven model based on Partial Least Squares-Path Modeling (PSL-PM), which allows us to incorporate contextual knowledge by defining a relational graph of unobservable variables (latent variables, LV), which are, in turn, estimated by measured variables (indices of the ANS). We defined four LVs, namely, sympathetic, vagal, ANS, and recall. Sympathetic and vagal are connected to the ANS, the latter being a measure of recall, estimated from a questionnaire. The model is then fitted to the data. Results showed that vagal activity (described by HRV indices) is the most critical factor to describe ANS activity; they are inversely related except for the spot, which is mainly rational. The model captured a moderate-to-high variability of ANS behavior, ranging from 38% up to 64% of the explained variance of the ANS. However, it can explain at most 11% of the recall score of the subjects. The proposed approach allows for the easy inclusion of more physiological measurements and provides an easy-to-interpret model of the ANS response to emotional advertisement.

Combined Microbial Consortium Inoculation and Black Locust Planting Is Effective in the Bioremediation of Waste Drill Cuttings.

Waste drill cuttings (WDCs), produced during gas and oil drilling consisting of 80% rock cuttings and 20% drilling muds, are an increasingly potent source of environmental pollution. We studied the efficiency of bioaugmentation and phytoremediation to remediate WDCs in an experiment where WDCs were incubated in a greenhouse for 120 days with and without black locust (Robinia pseudoacacia) plant and with or without bacterial and fungal consortium inoculant. The pollutant removal rates were highest in inoculated and planted treatment, followed by inoculated treatment and planted treatment. The small decrease in contaminant level in the control treatment suggested that indigenous microorganisms in WDCs had little pollutant degradation capability. In the inoculated and planted treatments, after 120 days, the germination rate of red clover seeds was on the same level as in the natural soil, showing a marked decrease in the ecotoxicity of WDC. Both the bacterial and fungal richness and bacterial diversity increased in all the treatments over time, whereas fungal diversity increased only in the not-inoculated treatments. The activity of laccase enzyme played a key role in the bioremediation process. The enzyme activities were mostly governed by inoculated consortium and soil bacterial community, and black locust affected the bioremediation mainly through its effect on N content that further affected bacterial and fungal communities.

Effect of Baseline Characteristics and Tumor Burden on Vaspin Expression and Progressive Disease in Operable Colorectal Cancer.

Colorectal cancer is a highly heterogeneous malignancy in the Asian population, and it is considered an important prognostic factor for baseline characteristics, tumor burden, and tumor markers. This study investigated the effect of baseline characteristics and tumor burden on tumor marker expression and progressive disease in colorectal cancer by using partial least squares variance-based path modeling (PLS-PM). PLS-PM can be used to evaluate the complex relationship between prognostic variables and progressive disease status with a small sample of measurements and structural models. A total of 89 tissue samples of colorectal cancer were analyzed. Our results suggested that the expression of visceral adipose tissue-derived serpin (vaspin) is a potential indicator of colorectal cancer progression and may be affected by baseline characteristics such as age, sex, body mass index, and diabetes mellitus. Moreover, according to the characteristics of tumor burden, the expression of vaspin was generally higher in each progressive disease patient. The overall findings suggest that vaspin is a potential indicator of the progressive disease and may be affected by the baseline characteristics of patients.

Impact of anthropogenic pressures on wild mammals of Northern Portugal.

BACKGROUND AND AIM: Wild mammals are among the most threatened species of the world in large part due to human activity. In this work, we used the method of partial least squares-path modeling associated with a geographic information system to analyze the impact of anthropogenic pressures on the mortality of wild mammals. MATERIALS AND METHODS: We collected the data related to the cause of death of native wild mammals admitted to the Wildlife Rehabilitation Centre of Parque Biológico de Gaia in Northern Portugal, during 10 years (2008-2017). RESULTS: A total of 359 animals from 42 municipalities (rural and urban areas) were included in the study. The main cause of death was of traumatic origin. From the anthropogenic pressures included in the study, water reservoirs, small companies, and residential buildings were the ones that contributed the most to increase the mortality of traumatic and non-traumatic origin. This relation of cause-effect (mortality-anthropogenic pressures) was supported by the high coefficients of determination obtained (R2 > 0.8). CONCLUSION: The present results allow a general view on the reality of mammal's mortality in Northern Portugal. Furthermore, it could also constitute a valuable tool for the conservation of wild mammals in those areas.