Environmental Factors Research Articles

Major depressive disorder is associated with mitochondrial ND6 T14502C mutation in two Han Chinese families

BACKGROUND Globally, the World Health Organization ranks major depressive disorder (MDD) as the leading cause of disability. However, MDD molecular etiology is still poorly understood. AIM To explore the possible association between mitochondrial ND6 T14502C mutation and MDD. METHODS Clinical data were collected from two pedigrees, and detailed mitochondrial genomes were obtained for the two proband members. The assessment of the resulting variants included an evaluation of their evolutionary conservation, allelic frequencies, as well as their structural and functional consequences. Detailed mitochondrial whole genome analysis, phylogenetic, and haplotype analysis were performed on the probands. RESULTS Herein, we reported the clinical, genetic, and molecular profiling of two Chinese families afflicted with MDD. These Chinese families exhibited not only a range of onset and severity ages in their depression but also extremely low penetrances to MDD. Sequence analyses of mitochondrial genomes from these pedigrees have resulted in the identification of a homoplasmic T14502C (I58V) mutation. The polymorphism is located at a highly conserved isoleucine at position 58 of ND6 and distinct mitochondrial DNA (mtDNA) polymorphisms originating from haplogroups M10 and H2. CONCLUSION Identifying the T14502C mutation in two individuals with no genetic relation who exhibit symptoms of depression provides compelling evidence that this mutation may be implicated in MDD development. Nonetheless, the two Chinese pedigrees that carried the T14502C mutation did not exhibit any functionally significant mutations in their mtDNA. Therefore, the phenotypic expression of the T14502C mutation related to MDD may be influenced by the nuclear modifier gene(s) or environmental factors.

Model for Inverting the Leaf Area Index of Green Plums by Integrating IoT Environmental Monitoring Data and Leaf Relative Content of Chlorophyll Values

The quantitative inversion of the leaf area index (LAI) of green plum trees is crucial for orchard field management and yield prediction. The data on the relative content of chlorophyll (SPAD) in leaves and environmental data from orchards show a significant correlation with LAI. Effectively integrating these two data types for LAI inversion is important to explore. This study proposes a multi−source decision fusion LAI inversion model for green plums based on their adjusted determination coefficient (MDF−ADRS). First, three statistical methods—Pearson, Spearman rank, and Kendall rank correlation analyses—were used to measure the linear relationships between variables, and the six environmental factors most highly correlated with LAI were selected from the orchard’s environmental data. Then, using multivariate statistical analysis methods, LAI inversion models based on environmental feature factors (EFs−PM) and SPAD (SPAD−PM) were established. Finally, a weight optimization allocation strategy was employed to achieve a multi−source decision fusion LAI inversion model for green plums. This strategy adaptively allocates weights based on the predictive performance of each data source. Unlike traditional models that rely on fixed weights or a single data source, this approach allows the model to increase the influence of a key data source when its predictive strength is high and reduce noise interference when it is weaker. This dynamic adjustment not only enhances the model’s robustness under varying environmental conditions but also effectively mitigates potential biases when a particular data source becomes temporarily unreliable. Our experimental results show that the MDF−ADRS model achieves an R2 of 0.88 and an RMSE of 0.39 in the validation set, outperforming other fusion methods. Compared to the EFs−PM and SPAD−PM models, the R2 increased by 0.19 and 0.26, respectively, and the RMSE decreased by 0.16 and 0.22. This model effectively integrates multiple sources of data from green plum orchards, enabling rapid inversion and improving the accuracy of green plum LAI estimation, providing a technical reference for monitoring the growth and managing the production of green plums.

Pre-diagnosis blood DNA methylation profiling of twin pairs discordant for breast cancer points to the importance of environmental risk factors

Abstract Background Assessment of breast cancer (BC) risk generally relies on mammography, family history, reproductive history, and genotyping of major mutations. However, assessing the impact of environmental factors, such as lifestyle, health-related behavior, or external exposures, is still challenging. DNA methylation (DNAm), capturing both genetic and environmental effects, presents a promising opportunity. Previous studies have identified associations and predicted the risk of BC using DNAm in blood; however, these studies did not distinguish between genetic and environmental contributions to these DNAm sites. In this study, associations between DNAm and BC are assessed using paired twin models, which control for shared genetic and environmental effects, allowing testing for associations between DNAm and non-shared environmental exposures and behavior. Results Pre-diagnosis blood samples of 32 monozygotic (MZ) and 76 dizygotic (DZ) female twin pairs discordant for BC were collected at the mean age of 56.0 years, with the mean age at diagnosis 66.8 years and censoring 75.2 years. We identified 212 CpGs (p < 6.4*10–8) and 15 DMRs associated with BC risk across all pairs using paired Cox proportional hazard models. All but one of the BC risks associated with CpGs were hypomethylated, and 198/212 CpGs had their DNAm associated with BC risk independent of genetic effects. According to previous literature, at least five of the top CpGs were related to estrogen signaling. Following a comprehensive two-sample Mendelian randomization analysis, we found evidence supporting a dual causal impact of DNAm at cg20145695 (gene body of NXN, rs480351) with increased risk for estrogen receptor positive BC and decreased risk for estrogen receptor negative BC. Conclusion While causal effects of DNAm on BC risk are rare, most of the identified CpGs associated with the risk of BC appear to be independent of genetic effects. This suggests that DNAm could serve as a valuable biomarker for environmental risk factors for BC, and may offer potential benefits as a complementary tool to current risk assessment procedures.

Deficiency of FABP7 Triggers Premature Neural Differentiation in Idiopathic Normocephalic Autism Organoids

AbstractAutism spectrum disorder (ASD), which is caused by heterogeneous genetic and environmental factors, is characterized by diverse clinical phenotypes linked to distinct pathological mechanisms. ASD individuals with a shared clinical phenotype might contribute to revealing the molecular mechanism underlying ASD progression. Here, it is generated induced pluripotent stem cell (iPSC)‐derived cerebral organoids from normocephalic individuals with ASD in a prospective birth cohort with a shared clinical diagnosis. Multiple cell lines and time series scRNA‐seq combined with a histomorphological analysis revealed premature neural differentiation of neural stem cells (NSCs) and decreased expression of Fatty acid binding protein 7 (FABP7) in ASD organoids. It is subsequently revealed alterations in the phosphorylation levels of Mitogen‐Activated Protein Kinase Kinase 1/2 (MEK1/2), which are downstream of FABP7, and the regulation of the FABP7/MEK pathway reversed improper neural differentiation in the ASD organoids. Moreover, both Fabp7‐knockdown and MEK2‐overexpressing mice exhibited repetitive stereotyped behaviors and social defects relevant to autism. This study reveals the role of the FABP7/MEK pathway in abnormal NSC differentiation in normocephalic individuals with ASD, which might provide a promising therapeutic target for ASD treatment.

A cross-tissue transcriptome-wide association study reveals GRK4 as a novel susceptibility gene for COPD

AbstractChronic obstructive pulmonary disease (COPD) is a prevalent respiratory disorder with environmental factors being the primary risk determinants. However, genetic factors also substantially contribute to the susceptibility and progression of COPD. Although genome-wide association studies (GWAS) have identified several loci associated with COPD susceptibility, the specific pathogenic genes underlying these loci, along with their biological functions and roles within regulatory networks, remain unclear. This lack of clarity constrains our ability to achieve a deeper understanding of the genetic basis of COPD. This study leveraged the FinnGen R11 genetic dataset, comprising 21,617 cases and 372,627 controls, along with GTEx V8 eQTLs data to conduct a cross-tissue transcriptome-wide association study (TWAS). Initially, we performed a cross-tissue TWAS analysis using the Unified Test for Molecular Signatures (UTMOST), followed by validation of the UTMOST findings in single tissues using the Functional Summary-based Imputation (FUSION) method and conditional and joint (COJO) analyses of the identified genes. Subsequently, candidate susceptibility genes were screened using Multi-marker Analysis of Genomic Annotation (MAGMA). The causal relationship between these candidate genes and COPD was further evaluated through summary data-based Mendelian randomization (SMR), colocalization analysis, and Mendelian randomization (MR). Additionally, the identified results were validated against the COPD dataset in the GWAS Catalog (GCST90399694). GeneMANIA was employed to further explore the functional significance of these susceptibility genes. In the cross-tissue TWAS analysis (UTMOST), we identified 17 susceptibility genes associated with COPD. Among these, a novel susceptibility gene, G protein-coupled receptor kinase 4 (GRK4), was validated through single-tissue TWAS (FUSION) and MAGMA analyses, with further confirmation via SMR, MR, and colocalization analyses. Moreover, GRK4 was validated in an independent dataset. This study identifies GRK4 as a potential novel susceptibility gene for COPD, which may influence disease risk by exacerbating inflammatory responses. The findings address gaps in previous single-tissue GWAS studies, revealing consistent expression and potential function of GRK4 across different tissues. However, considering the study’s limitations, further investigation and validation of GRK4’s role in COPD are warranted.

Allowable total error in CD34 cell analysis by flow cytometry based on state of the art using Spanish EQAS data.

CD34+ hematopoietic stem cell (HSC) enumeration, crucial for HSC transplantation, is performed by flowcytometry to guide clinical decisions. Variability in enumeration arises from biological factors, assay components, and technology. External quality assurance schemes (EQAS) train participants to minimize inter-laboratory variations. The goal is to estimate total error (TE) values for CD34 cell enumeration using state-of-the-art (SOTA) methods with EQA data and to define quality specifications by comparing TE using different cutoffs. A total of 3,994 results from 40 laboratories were collected over 11 years (2011-2022) as part of the IC-2 Stem Cells Scheme of the GECLID Program that includes absolute numbers of CD34 cells. The data were analyzed in two periods: 2011-2016 and 2017-2022. The TE value achieved by at least 60 %, 70 %, 80 %, and 90 % of laboratories was calculated across the two different periods and at various levels of CD34 cell counts: above 25, 25 to 15, and under 15 cells/μL. A decrease in the SOTA-based TE for CD34 cell enumeration was observed in the most recent period in 2017-2021 compared with 2012-2016. A significant increase of P75 TE values in the low CD34 range (<15 cells/μL) levels was found (p<0.001). Technical advancements contribute to the decrease TE over time. The TE of CD34 cell FC counts is measure-dependent, making it responsive to precision enhancement strategies. The TE measured by EQAS in this study may serve as a quality specification for implementing ISO 15189 standards in clinical laboratories for CD34 cell enumeration.

Environmental Factors Influencing Groundwater Quality and Health Risks in Northern Henan Plain, China

Environmental Factors Influencing Groundwater Quality and Health Risks in Northern Henan Plain, China

Ichthyobodo necator infection as a first record in cultured Dicentrarchus labrax: morphomolecular characterization and infestation patterns in correlation to water quality parameters

Abstract Ichthyobodo necator is a damaging and economically important protozoan parasite; however, its clinical patterns and incidence, correlated to environmental factors, are still poorly understood. This study provides the first report of Ichthyobodo necator infestation among Dicentrarchus labrax. We recorded significant mortalities in the cultured D. labrax of average size (5.92 g weight, and 11.55 cm length) in El-Max Station, National Institute of Oceanography and Fisheries, NIOF, Egypt, during the period extending from early summer to early fall (June to October) 2023. Behavioral and gross lesions of the infested fish were recorded; besides, dead and moribund fish were collected. Wet smears of the skin and gill of the affected fish were examined by compound light microscopy. Moreover, water samples from the affected ponds were collected and examined for their physicochemical parameters. The bodonid biflagellated Ichthyobodo necator (Henneguy) C. Pinto, 1928 was isolated from the skin and gills and identified based on specific morphological characteristics. DNA sequencing of PCR products and phylogenetic analysis confirmed identification, with clustering of the current isolates with I. necator isolates from different fish species. The multivariate analysis revealed a positive correlation between the prevalence and infestation intensity of Ichthyobodo, increased temperature levels, decreased dissolved oxygen DO, and also correlated with higher ammonia, and pH values. Additionally, the elevated concentrations of iron, calcium, magnesium, zinc, and copper in pond water were positively correlated with infestation and mortalities. These water parameter levels promote respiratory distress, accelerated prevalence, and infestation intensities of I. necator, particularly during the infestation peak in August and September. This study bridges the knowledge gap regarding I. necator parasite infestations and their correlation with water quality parameters.

PDGF-BB Deficiency in the Blood Serum from Aplastic Anemia Patients Affects Bone Marrow-Derived Multipotent Mesenchymal Stromal Cells

Aplastic anemia (AA) is characterized by bone marrow (BM) aplasia and pancytopenia. BM stromal microenvironment is closely intertwined with hematopoietic cells by reciprocal regulation. It is still unclear how hematopoietic deficiency affects the bone marrow stroma of the AA patients. Multipotent mesenchymal stromal cells (MMSCs) are the progenitors of stromal cells. In vitro, proliferation rate of MMSCs of AA patients is decreased compared to those of healthy donors. This may be explained by the influence of pathological environmental condition in the patients’ BM. The aim of the study was to compare the effect of AA patients’ sera on healthy donor MMSCs to healthy donors’ sera and to elucidate the nature of their difference. Proliferation test showed 3-fold decrease in number of MMSCs after incubation in medium supplemented with AA patients’ sera compared to donors’ serum samples. The degree of this effect correlated with the severity of thrombocytopenia in patients. The decrease in cell number was not associated with cell death, as the number of apoptotic cells defined by flow cytometry did not differ between the groups. ELISA revealed a decreased level of PDGF-BB in the patients’ sera compared to donors’ serum samples (69 ± 5 pg/mL vs 112 ± 21 pg/mL, respectively). The addition of recombinant PDGF-BB or healthy donor’s platelet lysate to the culture medium supplemented with AA patients’ serum restored its ability to support MMSCs growth. Thus, PDGF-BB deficiency is one of the environmental factors causing MMSCs damage in AA patients.

Functional characters and ontogenetic structure of populations of Ziziphora clinopodioides (Lamiaceae) at the range border (Republic of Khakasia)

The object of this study is a characteristic subshrub of Khakasia, Ziziphora clinopodioides (Lamiaceae). The study of functional traits and the structure of the Z. clinopodioides populations at the eastern limit of its distribution (Republic of Khakasia) has been carried out for the first time. The materials were collected in 2022–2023 in true and meadow steppes of the forest-steppe belt. Environmental factors influencing functional traits and the ratio of individuals of different ontogenetic states have been identified. It has been established that disturbed steppes on sandy soils with the presence of stones and low moisture represent the ecological optimum for this species. Under these conditions, the indices of most of the studied functional traits (the number of vegetative shoots per 1 composite skeletal axis, the number of generative shoots with paracladia, the number of paracladia, the number of flowers in paracladia, the number of flowers in the main inflorescence) reach the highest values. In undisturbed steppes on sandy loam soils with moderate moisture, Z. clinopodioides is in unfavorable conditions, and develops individuals with minimal values of functional traits. All the studied populations are normal, complete or incomplete. Left-sided and bimodal ontogenetic spectra are formed in disturbed steppes on sandy soils with the presence of stones and low moisture; in the undisturbed steppe on sandy loam soil with moderate moisture, the spectrum type is bimodal. The density of individuals depends on the degree of soding in the community and anthropogenic load. With an increase in the total projective cover and in the absence of anthropogenic impact, the density of individuals decreases. The causes of restructuring of functional characters and changes in the ontogenetic spectrum of populations of Z. clinopodioides under the influence of various environmental factors at the range border are discussed.

The Influence of Artificial Light Exposure on Indigenous Populations: Exploring Its Impact on Menarcheal Age and Reproductive Function

The impact of artificial light exposure on human health has garnered significant attention in recent years. In particular, its effects on reproductive health have raised concerns. Given that the onset of menarche serves as a crucial indicator of reproductive maturity, understanding the implications of artificial light exposure becomes paramount. Age of menarche onset occurs relatively earlier in urban females than females raised in rural areas. Besides the decline in age of menarche onset, exposure to artificial light may contribute to impairment in reproductive hormones, particularly gonadotropins, by disrupting rhythms of reproductive hormones, modulating stress hormones and kisspeptin productions, and causing body weight changes. This drastic environmentally induced change may increase the proportion of teenage pregnancies, unfulfilled childhood dreams, depression, and ill-prepared marriages, thus creating a potential need for public health intervention. Due to limited studies and often lack of longitudinal data, a significant knowledge gap exists in unraveling the potential mechanism involved in alteration of these physiologic processes. The purpose of the current review was to elucidate the intricate interplay between environmental factors, cultural practices, and biological processes within indigenous communities. By meticulously examining the multifaceted influences of artificial light, including its prevalence and varying intensity based on geographical locations and light pollution levels, this study aimed to provide scholarly insights in-to the pathophysiologic mechanisms underlying the observed changes. The findings of this inquiry will also inform evidence-based strategies and interventions aimed at safeguarding the reproductive well-being of indigenous populations amidst the escalating challenges posed by artificial light exposure.

A Statistical Evaluation of the Occurence of Meningitis in Takum, Taraba State, Nigeria

Meningitis remains a critical public health issue in Nigeria, particularly within the dry season when environmental factors such as low humidity and dust elevate transmission risks. Using historical incidence data from 2012 to 2021, this study utilizes the Autoregressive Integrated Moving Average (ARIMA) model estimate and predict the occurrence of meningitis occurrences. Findings frm the study revealed that the ARIMA(1,1,0) model emerged as the optimal fit, capturing the seasonal patterns and temporal trends in meningitis cases. This study recommends the integration of ARIMA-based forecasting into Nigeria’s public health strategies to strengthen early warning systems, optimize resource deployment, and enable more proactive responses during high-risk periods.

Abstract PR016: Early changes to the colon tumor microenvironment during benign-to- malignant transition

Abstract Colorectal cancer (CRC) is now the first and second leading cause of cancer-related deaths in men and women under 50, respectively, upending prior predictions. While many risk factors have been identified, the etiology of early onset disease is poorly understood, and it is unclear why some benign polyps progress to CRC while most do not. The genetic drivers of colon tumor initiation and progression to malignancy are not sufficient to drive disease on their own, as evidenced by the near ubiquitous presence of oncogenic mutations within morphologically “normal” adult tissues like the colon. This raises several fundamental questions: 1) what are the pioneering molecular and cellular events underlying benign-to-malignant transition following oncogenic mutation? 2) Is this sequence of events predetermined by cancer genetics or are additional (micro)environmental stimuli necessary? 3) How does the benign-to-malignant transition reshape tumor clonal architecture and is this immunogenic? We have begun to address these questions using a combination of rare human colon polyps with evidence of early malignant transition and innovative new mouse models that enable control of stepwise colon cancer progression. These autochthonous models combine in vivo CRISPR-Cas9 and an inducible “split-Cre” system to decouple focal tumor initiation in the distal colon (via Apc knockout) from spatiotemporal control of secondary driver events of malignant progression (e.g., Kras G12D, Trp53 knockout) in rare cells of benign adenomas. We have validated the in vivo functionality of these models, generating early “intramucosal carcinoma” and “adenocarcinoma-in-adenoma”—physiologically relevant and elusive stages of human colon cancer development that have never been reliably captured in model systems to date. Comparing these tumors with spatial transcriptomic data from human specimens, we report distinct transcriptional programs of early progression, a unique stromal reaction associated with early progression, and restructuring of glandular architecture and the stem cell niche in early carcinoma. By delineating the earliest events underlying cancer progression, this work promises to inform new strategies for early detection and prevention. We anticipate that the models will also be particularly valuable in functionally interrogating host and environmental factors that impact risk of early onset cancer. Citation Format: Peter M.K. Westcott, Yihan Qin, Daniel Zhang, Nikita Persaud, Zakeria Aminzada, Nischal Bhandari, Colin McLaughlin, William Rideout III, Santiago Naranjo, Song Han, Rodrigo Romero, Claire Regan, Jonathan Preall, Semir Beyaz, Tyler Jacks, Zhen Zhao, Sepideh Gholami. Early changes to the colon tumor microenvironment during benign-to- malignant transition [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr PR016.

Interrelationships between affective disorders in the form of depression and obesity and overweight - A systematic review

Both depression and obesity are significant health, social and economic problems. Depressive disorders were the second most common psychiatric disorder in 2017 after anxiety disorders. According to data published by the World Health Organization (WHO), depression affects about 280 million people worldwide, which is about 3.8 percent of the population. The etiology of depressive disorders is very complex and still not fully understood. The theories described so far complement each other. The factors underlying the development of depressive disorders can be divided into biological, psychological and other factors. Eating disorders in the form of overweight and obesity result from a loss of balance between anabolic and catabolic processes. This is most often led by insufficient physical activity and excess caloric intake. Hormonal disorders, genetic factors and environmental factors may also play an important role in the pathogenesis of obesity. The steadily increasing number of people suffering from depression and obesity prompts the search for links between these two seemingly unrelated disease entities. According to current knowledge, these diseases are bi-directionally linked by genetic, psychological, metabolic and social factors. Depression is associated with an increase in the risk of obesity by about 37% relative to those without depression. Obesity is associated with an increase in the risk of depressive disorders by about 18%. Understanding the links that exist between depressive disorders and obesity enables the search for new therapeutic options. The most important conclusion from the scientific research conducted so far is the advantage of simultaneous treatment of obesity and depression over treating these disease entities individually.

Slip Resistance (Friction) and Safe Walk Characteristics of Selected Shoe Soles on Floor Tiles in Nigeria

Slip-related accidents represent a significant public safety concern, particularly in environments where flooring may be exposed to various contaminants. This research investigates the slip resistance characteristics of selected shoe soles on different types of local floor tiles, employing the British Pendulum Tester (BPT) under diverse conditions, including: dry, sandy, wet, soapy, and oily surfaces. The study aims to provide quantitative data on friction coefficients to comprehensively assess the performance of different shoe sole and tile combinations. The results indicate varying levels of slip resistance across the tested combinations, with some shoe soles demonstrating superior performance under specific conditions. For instance, Poly-Urethane soles consistently showed higher friction coefficients in both dry and contaminated conditions, suggesting their suitability for environments prone to slip hazards. Conversely, certain tiles exhibited lower slip resistance when exposed to water and oily substances, highlighting the need for careful selection of both footwear and flooring materials in safety-critical applications. The findings underscore the importance of considering environmental factors in evaluating footwear performance, providing practical implications for improving safety standards in public and private spaces. The data generated from this research can inform recommendations for better footwear design, floor tile selection, and maintenance practices to mitigate slip hazards effectively. This study emphasizes the significance of evidence-based approaches in enhancing slip resistance standards, advocating for ongoing research and industry collaboration to ensure continuous improvement in safety protocols.

Abstract B037: Expression of MRTFA facilitates an immunosuppressive tumor microenvironment via upregulation of VSIR

Abstract Breast cancer, the second highest cause of cancer-related deaths in women, accounts for 31% of female cancer diagnoses. African American women have lower survival rates than White American women, influenced by both biological factors (age, family history, genetic factors, tumor biology) and social determinants (socio-economic status, insurance status, health care access). However, precise biological determinants remain unclear. The primary reason for breast cancer mortality is metastasis to organs like the lung, liver, and brain, with transcription factors playing a key role in this process. Myocardin related transcription factor A/B (MRTFA/B) are co-activators of serum-response factor (SRF), and the MRTF-SRF complex promotes breast cancer cell migration, invasion, and metastasis by regulating genes involved in actin cytoskeleton remodeling. MRTFA also supports tumor growth by modulating cancer-associated fibroblasts (CAFs) and remodeling the extracellular matrix (ECM) in the tumor microenvironment. While the pro-metastatic role of MRTFA/B is established in vitro and in mice, their impact on human cancer progression and metastasis requires further investigation. Therefore, understanding MRTFA's role in breast cancer metastasis is crucial for improving patient outcomes, making it essential to investigate MRTFA/B expression patterns in both tumor cells and the tumor microenvironment (TME). To explore the clinical, demographic, tumor-intrinsic, and tumor microenvironmental patterns of MRTFA/B’s expression and activation, we utilized multiplex imaging methods on multiple racially diverse tissue microarrays (TMA) and bioinformatics analyses of The Cancer Genome Atlas (TCGA), Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), and available single-cell RNA sequencing datasets. Strikingly, MRTFA expression levels were higher in African American patients than in White American patients. Next, we investigated MRTFA expression patterns in the TME by using single-cell sequencing databases and found more abundant MRTFA expression in dendritic cells (DCs) within the TME compared to any other cell subtype. Moreover, our multiplex-imaging of tumor microarray (TMA) samples showed prominent MRTFA expression in HLA-DRA+CD45+ cells, indicative of antigen-presenting cells (APC). Notably, public single-cell RNA sequencing data indicated that breast cancer DCs strongly express the V-set immunoregulatory receptor (VSIR), an immune checkpoint protein, implying the immunosuppressive nature of the TME and we found that this increased VSIR expression is mediated by the MRTF-SRF complex. These findings suggest that DCs expressing MRTFA in breast cancer microenvironment contribute to creating the immunosuppressive TME via upregulation of VSIR expression, resulting in racial breast cancer disparities. Citation Format: Kihak Lee, Stephanie M. Wilk, Alexa M. Gajda, Mohamed Haloul, Virgilia Macias, Elizabeth L. Wiley, Zhengjia Chen, Xinyi Liu, Xiaowei Wang, Maria Sverdlov, Kent F. Hoskins, Ekrem Emrah Er. Expression of MRTFA facilitates an immunosuppressive tumor microenvironment via upregulation of VSIR [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr B037.

Theoretical Frameworks for Integrating Sustainability Factors into Institutional Investment Decision-Making

This paper explores key theoretical frameworks instrumental in understanding the relationship between sustainability and institutional investment decisions. The study identifies and analyzes various theories, including Behavioral Finance Theory, Modern Portfolio Theory, Risk Management Theory, and others, to explain how sustainability considerations increasingly influence investment choices. By examining these frameworks, the paper highlights how investors integrate Environmental, Social, and Governance (ESG) factors to optimize financial outcomes and align with broader societal goals.

Slow-Release Nitrogen Fertilizer Promotes the Bacterial Diversity to Drive Soil Multifunctionality

The application of slow-release nitrogen fertilizer not only economizes labor input, but also decreases the frequency of use of mechanical intakes, with significant implications in advancing modern intensive agricultural production. Whether slow-release nitrogen fertilizer application can influence the association between microbial diversity and soil multifunctionality remains controversial. This study analyzed the spatial variances of soil environmental factors, soil multifunctionality, and their correlations with bacterial and fungal communities under five nitrogen application rates. The key factors influencing the dominant microbial species and community structures at different spatial locations were determined by the slow-release nitrogen fertilizer application rate, and the driving factors and dominant species of soil multifunctionality were identified. In contrast to the control group, moderate slow-release nitrogen fertilizer application enhanced soil multifunctionality and ameliorated the resilience of microbial diversity loss at diverse spatial locations resulting from irrational nitrogen fertilizer application. The resilience of the fungal community to disturbances caused by fertilization was lower than that of the bacterial community. Bacterial diversity exhibited a significant correlation with soil multifunctionality, and the soil multifunctionality intensity under 240 kg ha−1 treatment increased by 159.01% compared to the CK. The main dominant bacterial communities and the dominant fungal community Ascomycota affected soil multifunctionality through slow-release nitrogen fertilizer application. Structural equation modeling and random forest analysis demonstrated that bacterial community diversity, particularly in bulk soil and the rhizosphere, community composition, and soil nitrogen form are the primary driving factors of soil multifunctionality. Results indicated that the microbial niche alterations induced by slow-release nitrogen fertilizer application positively affect soil multifunctionality.

Modeling habitat suitability of Quercus castaneifolia in the Hyrcanian forest: a comprehensive integration of environmental factors for conservation insights

Modeling habitat suitability of Quercus castaneifolia in the Hyrcanian forest: a comprehensive integration of environmental factors for conservation insights

Geospatially Informed Water Pricing for Sustainability: A Mixed Methods Approach to the Increasing Block Tariff Model for Groundwater Management in Arid Regions of Northwest Bangladesh

Groundwater depletion in arid regions poses a significant threat to agricultural sustainability and rural livelihoods. This study employs geospatial analysis and economic modeling to address groundwater depletion in the arid Barind region of Northwest Bangladesh, where 84% of the rural population depends on agriculture. Using remote sensing and GIS, we developed an elevation map revealing areas up to 60 m above sea level, exacerbating evaporation and aquifer dryness. Field data collected through Participatory Rural Appraisal tools showed farmers exhibiting “ignorant myopic” behavior, prioritizing short-term profits over resource conservation. To address this, an Increasing Block Tariff (IBT) water pricing model was developed, dividing water usage into three blocks based on irrigation hours: 1–275 h, 276–550 h, and 551+ h. The proposed IBT model significantly increases water prices across the three blocks: 117 BDT/hour for the first block (from current 100–110 BDT/hour), 120 BDT/hour for the second block, and 138 BDT/hour for the third block. A demand function (y = −0.1178x + 241.8) was formulated to evaluate the model’s impact. The results show potential reductions in groundwater consumption: 59 h in the first block, 26 h in the second block, and 158 h in the third block. These reductions align with the principles of integrated water resource management (IWRM): social equity, economic efficiency, and environmental integration. The model incorporates economic externalities (e.g., well lifting costs) and environmental externalities (e.g., crop pattern shifts), with total costs reaching 92,709,049 BDT for environmental factors. This research provides a framework for sustainable groundwater management in arid regions, potentially reducing overextraction while maintaining agricultural productivity. The proposed IBT model offers a locally driven solution to balance resource conservation with the livelihood needs of farming communities in the Barind tract. By combining remote sensing, GIS, and economic modeling, this research provides a framework for sustainable groundwater management in arid regions, demonstrating the power of geospatial technologies in addressing complex water resource challenges.