Environmental Factors Research Articles

Genetic Analysis of Asymptomatic Antinuclear Antibody Production.

Antinuclear antibodies (ANA) are detected in up to 14% of the population, and many individuals with ANA are asymptomatic. The literature on the genetic contribution to asymptomatic ANA positivity is limited. In this study, we aimed to perform a genome-wide association study of asymptomatic ANA positivity in multiple populations. Asymptomatic individuals who were either ANA positive or ANA negative from the All of Us Research Program were included in this study, selecting those with an ANA test performed by immunofluorescence and no evidence of autoimmune disease. Imputation was performed, and a multipopulation meta-analysis including approximately 6 million single-nucleotide polymorphisms (SNPs) was conducted. Genome-wide SNP-based heritability was estimated using the Genome-wide Complex Trait Analysissoftware. A cumulative genetic risk score for lupus was constructed using previously reported genome-wide significant loci. A total of 1,955 asymptomatic ANA positive and 3,634 asymptomatic ANA negative individuals across three populations were included. The multipopulation meta-analysis revealed SNPs with a suggestive association (P <1 × 10-5) across 8 different loci, but no genome-wide significant loci were identified. A gene variant upstream of HLA-DQB1, (rs17211748, P = 1.4 × 10-6, odds ratio 0.82, 95% confidence interval 0.76-0.89), showed the most significant association. The heritability of asymptomatic ANA positivity was estimated to be 24.9%. Individuals who were asymptomatic and ANA positive did not exhibit increased cumulative genetic risk for lupus compared with individuals who were ANA negative. ANA production is not associated with significant genetic risk and is primarily determined by environmental factors.

SNP alleviates ferric and salt stress in Phaseolus vulgaris seeds

Seed germination and early development are delicate events often influenced by various environmental factors. Among these factors, the accumulation of salts and heavy metals in the soil is noteworthy. This study aimed to observe the effect of priming with solutions of sodium nitroprusside, polyethylene glycol 6000, and potassium nitrate on the germination of Phaseolus vulgaris seeds exposed to toxic conditions of iron and sodium chloride. Seeds were germinated on plates placed in a growth chamber at a constant temperature of 25°C and a 12-hour photoperiod. The percentage of germination, germination speed, root and shoot lengths, catalase, peroxidase activities, and malondialdehyde content were evaluated. Exposure to high concentrations of sodium chloride and iron reduced germination percentage, germination speed, root and shoot lengths of treated plants. Only sodium nitroprusside treatment mitigated the effects of stressors. No increase in malondialdehyde content was observed in any treatment, suggesting no lipid peroxidation of membranes. However, all treatments showed increased catalase activity, possibly indicating oxidative stress and metabolic damage. Sodium nitroprusside stands out as a stress alleviator for sodium chloride and iron accumulation during the germination phase.

"Instead of Building More Buildings, They Should Plant More Trees", a Photovoice Study of Determinants of Happiness and Sadness Among East London Adolescents.

Globally, mental health problems in adolescents, alongside associated morbidity and mortality, have never been higher. Local living, working and environmental conditions, socio-economics, and intra-individual and inter-individual processes impact mental health. The risk of developing mental health problems is higher in certain areas, including East London. However, limited research explores East London adolescents' experiences of mental health. An in-depth and locally situated understanding of determinants shaping East London adolescents' happiness and sadness is needed. This study used Photovoice, a qualitative method within a community-based participatory research methodology, to generate photographic and textual data, which was analyzed using reflexive thematic analysis. This method allows participants to be part of knowledge production and authors to present the data. Our findings underscore the bidirectional interplay between environmental factors and adolescents' happiness and sadness. Gratitude for nature was described as increasing happiness: adolescents connected to nature to memories, appreciation, and leisure opportunities. Adolescents were concerned about the fragility of nature in response to urban development. The urban environment was perceived as imposing, inspiring, and offering therapeutic benefits blighted by pollution. Beautiful areas were described as paradisical and lacking, revealing urban development and economic productivity disparities. Our research documents the voices of an under-researched group, revealing novel insights while empowering adolescents as co-producers of mental health research. This study indicates participatory research is valuable for granting adolescents autonomy and addressing misrepresentation. The findings implicate multiple stakeholders, including "Health in All Policies." By deepening our understanding of adolescent mental health in East London, our study can be leveraged to bolster the effectiveness and relevance of interventions for East London adolescents.

Comparison of GWAS results between de novo tinnitus and cancer treatment-related tinnitus suggests distinctive roles for genetic risk factors.

Tinnitus is a common sensorineural complication that can occur de novo or after cancer treatments involving cisplatin or radiotherapy. Considering the heterogeneous etiology and pathophysiology of tinnitus, the extent to which shared genetic risk factors contribute to de novo tinnitus and cancer treatment-induced tinnitus is not clear. Here we report a GWAS for de novo tinnitus using the UK Biobank cohort with nine loci showing significantly associated variants (p < 5 × 10-8). To our knowledge, significant associations in four of these loci are novel, represented by rs7336872, rs115125870, rs1532898 and rs2537, with UBAC2, NUDT9, TGM4 and MPP2 as their nearest protein coding genes, respectively. Through quantitative comparison of results from GWAS of de novo tinnitus with GWAS of radiation-induced tinnitus, two intronic variants (rs7023227 and rs3780395) from a locus within immunoregulatory gene PD-L1 (CD274) reached the replication threshold using comparison thresholds of 10-5 and 10-4, with no other shared genetic risk factors identified. We did not observe shared genetic risk factors between de novo and cisplatin-induced tinnitus. Our results suggest that genetic risk factors are mainly distinct based on etiology of tinnitus and future efforts to study, prevent or treat tinnitus are expected to benefit from strategies that allow for distinction of cases based on the primary environmental risk factor.

Air Pollution and Interstitial Lung Disease.

This review article explores the multifaceted relationship between air pollution and interstitial lung diseases (ILDs), particularly focusing on idiopathic pulmonary fibrosis (IPF), the most severe form of fibrotic ILD. Air pollutants are mainly composed of particulate matter (PM), ozone (O3), nitrogen dioxide (NO2), carbon monoxide (CO), and sulfur dioxide (SO2). They are recognized as risk factors for several respiratory diseases. However, their specific effects on ILDs and related mechanisms have not been thoroughly studied yet. Emerging evidence suggests that air pollutants may contribute to the development and acute exacerbation of ILDs. Longitudinal studies have indicated that air pollution can adversely affect the prognosis of disease by decreasing lung function and increasing mortality. Lots of in vitro, in vivo, and epidemiologic studies have proposed possible mechanisms linking ILDs to air pollution, including inflammation and oxidative stress induced by exposure to air pollutants, which may induce mitochondrial dysfunction, promote cellular senescence, and disrupt normal epithelial repair processes. Despite these findings, effective interventions to mitigate effects of air pollution on ILD are not well established yet. This review emphasizes the urgent need to address air pollution as a key environmental risk factor for ILDs and calls for further studies to clarify its effects and develop preventive and therapeutic strategies.

Candidate genetic loci modifying the colorectal cancer risk caused by lifestyle risk factors

Objective: 65-70% of colorectal cancer (CRC) cases are considered sporadic; they arise under the influence of environmental factors in individuals lacking a family history of CRC. Low-risk genetic variants are believed to contribute to CRC risk, in tandem with lifestyle factors. Design: 616 non-familial Swedish CRC cases with at least 1 of the following five risk factors: smoking, excessive alcohol consumption, physical inactivity, adherence to an unhealthy diet, and excess body weight were included in this study. A control group consisting of 1642 healthy individuals was used. Cases and controls were genotyped from blood samples at the Centre for Inherited Disease Research at Johns Hopkins University within the Colorectal Transdisciplinary Study (CORECT) research collaboration, using the Illumina Infinium® OncoArray-500 K BeadChip. Five separate genome-wide haplotype association analyses were performed, one for each risk factor. Logistic regression models were employed to estimate associations between haplotypes (exposure) and CRC (outcome) in cases with lifestyle risk factors versus controls. Haplotypes with an odds ratio (OR) &gt;1 were considered candidate risk markers, denoting an area of interest in the genome. A significance threshold of p &lt; 5×10-8 was used. Results: We found 17 haplotype regions significantly associated with CRC in cases vs controls. Several regions included genes linked to inflammation and tumor promotion. Conclusion: We concluded that having certain genetic variants was associated with an increased risk of CRC compared to healthy controls among cases with known lifestyle risk factors. The interplay of lifestyle and genetic risk factors calls for further elucidation.

EFFECT OF GREEN INNOVATION AND DIGITAL TRANSFORMATION ON SOLO RAYA SMEs

This study is motivated by the low awareness among SMEs in Solo Raya regarding the importance of environmental factors and digitalization for firm performance. Although stakeholder pressure and environmental concerns are increasing, few studies have explored how stakeholder pressure, green dynamic capability, green innovation, and digital transformation jointly influence the performance of SMEs, particularly in developing regions like Solo Raya. The aim of this research is to explore the combined impact of these factors on the performance of SMEs in Solo Raya. This research employs a quantitative approach, collecting data through a survey of 131 respondents from various SMEs in Solo Raya. The data was analyzed using Smart PLS 4. The results indicate that stakeholder pressure, green dynamic capability, green innovation, and digital transformation, all have a positive and significant effect on firm performance. In conclusion, although awareness of these critical factors remains low, SMEs in Solo Raya that respond to stakeholder pressure by enhancing their green dynamic capabilities, implementing green innovations, and adopting digital transformation strategies are better positioned to significantly improve their performance. This highlights that integrating environmental sustainability with digitalization can be a key driver of competitive advantage in the region.

Genetic-Based Neural Network for Enhanced Soil Texture Analysis: Integrating Soil Sensor Data for Optimized Agricultural Management

Soil texture analysis is vital in agricultural management due to its influence on crop growth and yield. Defined by the proportions of clay, sand, and silt particles, soil texture affects properties like aeration, water-holding capacity, and nutrient retention, all crucial for plant development. The OBJECTIVES: This study aims to design a Genetic-Based Neural Network (GBNN) for accurate soil texture analysis, particularly for soils with similar structures but different compositions. It also aims to collect environmental impact data through soil sensors to enhance the understanding of soil texture.METHODS: The methodology involves developing a GBNN, leveraging genetic algorithms to group homogeneous particles, thus improving texture classification. This approach addresses the shortcomings of previous deep learning models. Additionally, soil sensor data will be collected to study environmental factors affecting soil texture.RESULTS: The GBNN showed improved accuracy in texture classification compared to previous models. Genetic algorithms effectively grouped similar particles, and soil sensor data provided insights into environmental impacts on soil texture.CONCLUSION: The GBNN for soil texture analysis overcame previous models' challenges, improving classification accuracy. The integration of soil sensor data provided valuable environmental insights, aiding farmers in optimizing crop selection, fertilizer application, and soil management for better yields and sustainability.

Navigating turbulent waters: the impact of technological turbulence on entrepreneurial orientation in Chinese e-commerce enterprises

PurposeThis study aims to investigate the impact of technological turbulence on entrepreneurial orientation (EO) in Chinese e-commerce enterprises. It also examines the mediating roles of business ties and political ties, and the moderating effect of transaction uncertainty on these relationships.Design/methodology/approachA sample of 173 Chinese e-commerce enterprises was analyzed using survey data. Structural equation modeling was employed to test the proposed hypotheses, including the direct effects of technological turbulence on EO, the mediating roles of business and political ties, and the moderating effect of transaction uncertainty.FindingsThe results indicate a positive correlation between technological turbulence and EO. Business ties mediate the relationship between technological turbulence and EO, while political ties do not. Transaction uncertainty negatively moderates the relationship between business ties and EO but does not significantly affect the relationship between political ties and EO. Additionally, EO positively impacts market performance.Originality/valueThis study extends the understanding of how external environmental factors, such as technological turbulence, influence EO in the context of Chinese e-commerce. It highlights the differential roles of business and political ties and provides insights into the moderating effects of transaction uncertainty. The findings offer practical implications for e-commerce firms seeking to enhance their entrepreneurial capabilities in turbulent environments.

AI Technology Adoption in Corporate IT Network Operations Based on the TOE Model

As the digital environment evolves, the need to integrate artificial intelligence (AI) technology into corporate IT network operations increases. In this study, the aim was to define the factors that influence AI adoption in the network operations and analyze their impact on productivity and service stability. The technology–organization–environment (TOE) framework was employed for this investigation, focusing on technological, organizational, and environmental factors. In addition, in this study, structural equation modeling was employed to analyze the relationships between these influencing factors and the intention to adopt AI. The mediation effect was examined through the network operation productivity and network service stability. A survey was conducted targeting network operations and AI professionals to collect data. The analysis results revealed that technological and environmental factors positively influenced the network operation productivity, while only environmental factors positively influenced the network service stability. Furthermore, the findings of this study highlight that environmental factors are the most significant factors that influence network operation productivity and network service stability. Moreover, the direct positive impact of network operation productivity and IT network service stability on the intention to adopt AI underscores their crucial role. In conclusion, when evaluating AI adoption in terms of network operation productivity and network service stability, prioritizing technological and environmental factors over organizational factors is necessary.

Evaluating the use of environmental and polygenic risk scores to inform colorectal cancer risk-based surveillance intervals

Objective: U.S. Multi-Society Task Force colonoscopy surveillance intervals are based solely on adenoma characteristics, without accounting for other risk factors. We investigated whether a risk model including demographic, environmental and genetic risk factors could individualize surveillance intervals under an “equal management of equal risks” framework. Methods: Using 14,069 individuals from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial who had a diagnostic colonoscopy following an abnormal flexible sigmoidoscopy, we modeled the risk of colorectal cancer (CRC), considering the diagnostic colonoscopy finding, baseline risk factors (e.g., age and sex), 19 lifestyle and environmental risk factors, and a polygenic risk score (PRS) for CRC. Ten-year absolute cancer risks for each diagnostic colonoscopy finding [advanced adenoma (N=2446), ≥3 non-advanced adenomas (N=483), 1-2 non-advanced adenomas (N=4400) and no adenoma (N=7183)] were used as implicit risk thresholds for recommended surveillance intervals. Results: The area-under-the-curve (AUC) for the model including colonoscopy findings, baseline characteristics, and PRS was 0.658. Applying the “equal management of equal risks” framework, 28.2% of individuals with no adenoma and 42.7% of those with 1-2 non-advanced adenomas would be considered high risk and assigned a significantly shorter surveillance interval than currently recommended. Among individuals who developed cancer within 10 years, 52.4% with no adenoma and 48.3% with 1-2 non-advanced adenomas would have been considered high risk and assigned a shorter surveillance interval. Conclusion: Using a personalized risk-based model has the potential to identify individuals with no adenoma or 1-2 non-advanced adenomas, who are higher risk and may benefit from shorter surveillance intervals.

Mechanical stress and anionic lipids synergistically stabilize an atypical structure of the angiotensin II type 1 receptor (AT1).

Environmental factors, including mechanical stress and surrounding lipids, can influence the response of GPCRs, such as the mechanosensitive angiotensin II type 1 receptor (AT1). To investigate the impact of these factors on AT1 activation, we developed a steered molecular dynamics simulations protocol based on quaternion formalism. In this protocol, a pulling force was applied to the N-terminus of transmembrane helix 6 (TM6) to induce the TM6 opening characteristic of activation. Subsequently, the simulations were continued without constraints to allow the receptor to relax around the novel TM6 conformation under different conditions. We analyzed the responses of AT1 to membrane stretching, modeled by applying surface tension, in different bilayers. In phosphocholine bilayers without surface tension, we could observe a transient atypical structure of AT1, with an outward TM7 conformation, at the beginning of the activation process. This atypical structure then evolved toward a pre-active structure with outward TM6 and inward TM7. Strikingly, the presence of anionic phosphoglycerol lipids and application of surface tension synergistically favored the atypical structure, which led to an increase in the cross-section area of the receptor intracellular domain. Lipid internalization and H-bonds between lipid heads and the receptor C-terminus increased in phosphoglycerol vs phosphocholine bilayers, but did not depend on surface tension. The difference in the cross-section area of the atypical and pre-active conformations makes the conformational transition sensitive to lateral pressure, and favors the atypical conformation upon surface tension. Anionic lipids act as allosteric modulators of the conformational transition, by stabilizing the atypical conformation. These findings contribute to decipher the mechanisms underlying AT1 activation, highlighting the influence of environmental factors on GPCR responses. Moreover, our results reveal the existence of intermediary conformations that depend on receptor environment and could be targeted in drug design efforts.

Natural Feed Options for Sumatran Elephants at the Seblat Elephant Training Center North Bengkulu Regency, Indonesia

The health and welfare of Sumatran elephants at the Seblat Elephant Training Center (SETC), North Bengkulu Regency, depend on many environmental factors in their habitat, one of which is the availability of a variety of plant species (diet) in the Seblat Nature Tourism Park (SNTP) forest area. Research on this matter was conducted in May-June 2022 within the SNTP forest area, where the Seblat SETC facility is located. This study aimed to evaluate the dietary preferences of Sumatran elephants at SETC towards natural plant species in the SNTP forest. The "Focal Animal Sampling" method was used to measure the duration of feeding activity of each elephant on specific plant species while they were foraging in the forest. The elephants' preferences for plant species were analyzed quantitatively, while the types of plants consumed by the elephants were described qualitatively. The research found that 15 families with 33 species were identified as the natural food plants for the SETC elephants in Bengkulu. The Poaceae family was most preferred by the elephants with the highest preference value (35.07%), followed by Fabaceae (31.73%), Malvaceae (9.87%), and Cyperaceae (7.83%), while the least preferred were Costaceae, and Myrtaceae (0.33% respectively), Convolvulaceae (0.41%), and Selaginellaceae (0.73%). Based on sex, adult male elephants preferred Fabaceae plants such as Mimosa pudica (35.99%), Desmodium triflorum (11.66%), Mimosa invisa (7.36%), Cynodon dactylon (6.54%) over other families. Conversely, adult female elephants preferred Poaceae such as Leersia virginica Willd., Cyrtococcum patens (L.) A., Centhotheca lappacea Desvaux., Digitaria sanguinalis (L.) Scop., and Imperata cylindrica L. patients. These predictors, however, need further work to validate reliability.

ANALYSIS OF STUDENT LEARNING READINESS TO FULFIL ACHIEVEMENTS INDEPENDENT CURRICULUM WITH DIFFERENTIATED LEARNING

This study explores the impact of students' learning readiness on the implementation of differentiated learning to achieve independent curriculum goals in a seventh-grade class at SMPIT Putri Al-Hanif, Cilegon, Indonesia. The theoretical framework emphasizes the dynamic nature of readiness, distinct from innate ability, highlighting the importance of aligning assignments with students' abilities and interests. Employing qualitative descriptive research, the study involves 23 participants, utilizing assessments, interviews, and observations. Results reveal diverse levels of learning readiness influenced by internal and environmental factors. The differentiated learning approach caters to individual needs, emphasizing process, product, content, and learning environment adjustments. Findings underscore the crucial role of teachers in organizing varied learning strategies to enhance students' readiness and overall learning quality within the context of the independent curriculum. This research contributes valuable insights into addressing learning gaps and optimizing educational outcomes in the Era of Revolution 5.0.

The Anti-Elixir Triad: Non-Synced Circadian Rhythm, Gut Dysbiosis and Telomeric Damage.

Aging is an inevitable life process which is accelerated by lifestyle and environmental factors. It is an irreversible accretion of molecular and cellular damage associated with changes in the body composition and deterioration in physiological functions. Each cell (other than stem cells), reaches the limit of its ability to replicate, known as cellular or replicative senescence and consequently, the organs lose their physiological functions resulting in overall impairment. Other factors that promote aging include smoking, alcohol, UV rays, sleep habits, food, stress, sedentary life style and genetic abnormalities. These stress factors, can alter our endogenous clock (the circadian rhythm) and the microbial commensals. As a result of effect of these stressors, the microorganisms that generally support human physiological processes become baleful. The disturbance of natural physiology instigates many age-related pathologies, such as cardiovascular diseases, chronic obstructive pulmonary disorder, cerebrovascular diseases, opportunistic infections, high blood pressure, cancer, diabetes, kidney diseases, dementia, and Alzheimer's disease. The present review covers the three most essential processes of the circadian clock; the circadian gene mechanism and regulation, the mitotic clock (which plays a vital role in the telomere's attrition) and gut microbiota and their metabolome that drive aging and lead to age-related pathologies. In conclusion, maintaining a synchronized circadian rhythm, a healthy gut microbiome and telomere integrity is essential for mitigating the effects of aging and promoting longevity. The interplay among these factors underscores the importance of lifestyle choices in enhancing overall health and lifespan.

Spatial Analysis of Lung Cancer Patients and Associated Influencing Factors from the Perspective of Urban Sustainable Development: A Case Study of Jiangsu Province, China

With global environmental changes, lung cancer has become one of the most common types of cancer worldwide, posing a significant public health challenge. Jiangsu Province, located in the eastern part of China, is an economically and socially developed region. According to the latest cancer registration data in Jiangsu Province, lung cancer ranks first in both incidence and mortality of cancer in the province. Thus, studying the spatiotemporal distribution of lung cancer cases and analyzing the influence of various factors on this distribution are crucial for the effective prevention and control of the disease in Jiangsu Province. This study takes the statistical data of lung cancer patients in Jiangsu Province in 2020 as the research object, uses Geographic Information System (GIS) visualization and spatial analysis to study the spatial distribution characteristics of lung cancer patients in Jiangsu Province, and employs the geographical detector to numerically express the impact of various environmental factors on the distribution of lung cancer patients in Jiangsu Province. The results reveal a notable spatial clustering of lung cancer cases, with high-incidence areas concentrated in Suzhou, Nanjing, and Xuzhou cities. Among the seven environmental factors examined, PM2.5, SO2, and PM10 concentration exert the most significant influence. This study employs multifactorial spatial analysis to elucidate the intricate relationships between people’s health and air quality, medical resource distribution, and lung cancer incidence in the process of pursuing sustainable development in cities and provides an important reference for the improvement in lung cancer prevention and control strategies.

Fine Particulate Matter, Its Constituents, and Spontaneous Preterm Birth.

The associations of exposure to fine particulate matter (PM2.5) and its constituents with spontaneous preterm birth (sPTB) remain understudied. Identifying subpopulations at increased risk characterized by socioeconomic status and other environmental factors is critical for targeted interventions. To examine associations of PM2.5 and its constituents with sPTB. This population-based retrospective cohort study was conducted from 2008 to 2018 within a large integrated health care system, Kaiser Permanente Southern California. Singleton live births with recorded residential information of pregnant individuals during pregnancy were included. Data were analyzed from December 2023 to March 2024. Daily total PM2.5 concentrations and monthly data on 5 PM2.5 constituents (sulfate, nitrate, ammonium, organic matter, and black carbon) in California were assessed, and mean exposures to these pollutants during pregnancy and by trimester were calculated. Exposures to total green space, trees, low-lying vegetation, and grass were estimated using street view images. Wildfire-related exposure was measured by the mean concentration of wildfire-specific PM2.5 during pregnancy. Additionally, the mean exposure to daily maximum temperature during pregnancy was calculated. The primary outcome was sPTB identified through a natural language processing algorithm. Discrete-time survival models were used to estimate associations of total PM2.5 concentration and its 5 constituents with sPTB. Interaction terms were used to examine the effect modification by race and ethnicity, educational attainment, household income, and exposures to green space, wildfire smoke, and temperature. Among 409 037 births (mean [SD] age of mothers at delivery, 30.3 [5.8] years), there were positive associations of PM2.5, black carbon, nitrate, and sulfate with sPTB. Adjusted odds ratios (aORs) per IQR increase were 1.15 (95% CI, 1.12-1.18; P < .001) for PM2.5 (IQR, 2.76 μg/m3), 1.15 (95% CI, 1.11-1.20; P < .001) for black carbon (IQR, 1.05 μg/m3), 1.09 (95% CI, 1.06-1.13; P < .001) for nitrate (IQR, 0.93 μg/m3), and 1.06 (95% CI, 1.03-1.09; P < .001) for sulfate (IQR, 0.40 μg/m3) over the entire pregnancy. The second trimester was the most susceptible window; for example, aORs for total PM2.5 concentration were 1.07 (95% CI, 1.05-1.09; P < .001) in the first, 1.10 (95% CI, 1.08-1.12; P < .001) in the second, and 1.09 (95% CI, 1.07-1.11; P < .001) in the third trimester. Significantly higher aORs were observed among individuals with lower educational attainment (eg, less than college: aOR, 1.16; 95% CI, 1.12-1.21 vs college [≥4 years]: aOR, 1.10; 95% CI, 1.06-1.14; P = .03) or income (<50th percentile: aOR, 1.17; 95% CI, 1.14-1.21 vs ≥50th percentile: aOR, 1.12; 95% CI, 1.09-1.16; P = .02) or who were exposed to limited green space (<50th percentile: aOR, 1.19; 95% CI, 1.15-1.23 vs ≥50th percentile: aOR, 1.12; 95% CI, 1.09-1.15; P = .003), more wildfire smoke (≥50th percentile: aOR, 1.19; 95% CI, 1.16-1.23 vs <50th percentile: aOR, 1.13; 95% CI, 1.09-1.16; P = .009), or extreme heat (aOR, 1.51; 95% CI, 1.42-1.59 vs mild temperature: aOR, 1.11; 95% CI, 1.09-1.14; P < .001). In this study, exposures to PM2.5 and specific PM2.5 constituents during pregnancy were associated with increased odds of sPTB. Socioeconomic status and other environmental exposures modified this association.

Climatic factors, but not geographic distance, promote genetic structure and differentiation of Cleistogenes squarrosa (Trin.) Keng populations

Climate can shape plant genetic diversity and genetic structure, and genetic diversity and genetic structure can reflect the adaptation of plants to climate change. We used rbcl and trnL-trnF sequences to analyze the genetic diversity and genetic structure of C. squarrosa under the influence of different environmental factors in Inner Mongolia grassland. The results showed that the genetic diversity of this species was low. (The trnL-trnF sequences have higher genetic diversity than rbcl sequences.) C. squarrosa had low genetic diversity compared to other prairie plants, but had a more pronounced genetic structure. The haplotype network diagram of the combined sequences could be divided into two categories, and the results of the NJ, MP, and ML trees also showed that the haplotypes were divided into two branches. The results of genetic structure analysis showed that that the populations located in the desert steppe fall into exactly one cluster, and the populations located in the typical steppe fall into exactly another cluster. The neutrality tests were all negative and the mismatch distribution also showed a single peak across the population, suggesting that C. squarrosa had undergone population expansion and was well adapted to the local environment. The results of the mantel test showed that climate had a greater influence on the genetic distance of C. squarrosa, with annual precipitation having a higher influence than mean annual temperature. This study provided basic genetic information on the genetic structure of C. squarrosa and contributes to the study of genetic adaptation mechanisms in grassland plants.

A comprehensive study of common and rare genetic variants in spermatogenesis-related loci identifies new risk factors for idiopathic severe spermatogenic failure

Abstract STUDY QUESTION Can genome-wide genotyping data be analysed using a hypothesis-driven approach to enhance the understanding of the genetic basis of severe spermatogenic failure (SPGF) in male infertility? SUMMARY ANSWER Our findings revealed a significant association between SPGF and the SHOC1 gene, and identified three novel genes (PCSK4, AP3B1, and DLK1) along with 32 potentially pathogenic rare variants in 30 genes that contribute to this condition. WHAT IS KNOWN ALREADY SPGF is a major cause of male infertility, often with an unknown aetiology. SPGF can be due to either multifactorial causes, including both common genetic variants in multiple genes and environmental factors, or highly damaging rare variants. Next-generation sequencing (NGS) methods are useful for identifying rare mutations that explain monogenic forms of SPGF. Genome-wide association studies (GWAS) have become essential approaches for deciphering the intricate genetic landscape of complex diseases, offering a cost-effective and rapid means to genotype millions of genetic variants. Novel methods have demonstrated that GWAS datasets can be used to infer rare coding variants that are causal for male infertility phenotypes. However, this approach has not been previously applied to characterize the genetic component of a whole case-control cohort. STUDY DESIGN, SIZE, DURATION We employed a hypothesis-driven approach focusing on all genetic variation identified, using a GWAS platform and subsequent genotype imputation, encompassing over 6 million polymorphisms and a total of 1571 SPGF patients and 2431 controls. Both common (minor allele frequency, MAF &amp;gt; 0.01) and rare (MAF &amp;lt; 0.01) variants were investigated within a total of 1797 loci with a reported role in spermatogenesis. This gene panel was meticulously assembled through comprehensive searches in the literature and various databases focused on male infertility genetics. PARTICIPANTS/MATERIALS, SETTING, METHODS This study involved a European cohort using previously and newly generated data. Our analysis consisted of three independent methods: (1) variant-wise association analyses using logistic regression models, (2) gene-wise association analyses using combined multivariate and collapsing (CMC) burden tests, and (3) identification and characterisation of highly damaging rare coding variants showing homozygosity only in SPGF patients. MAIN RESULTS AND THE ROLE OF CHANCE The variant-wise analyses revealed an association between SPGF and SHOC1-rs12347237 (p = 4.15E-06, OR = 2.66), which was likely explained by an altered binding affinity of key transcription factors in regulatory regions and the disruptive effect of coding variants within the gene. Three additional genes (PCSK4, AP3B1, and DLK1) were identified as novel relevant players in human male infertility using the gene-wise burden test approach (p &amp;lt; 5.56E-04). Furthermore, we linked a total of 32 potentially pathogenic and recessive coding variants of the selected genes to 35 different cases. LARGE SCALE DATA Publicly available via GWAS catalog (Accession number: GCST90239721). LIMITATIONS, REASONS FOR CAUTION The analysis of low-frequency variants presents challenges in achieving sufficient statistical power to detect genetic associations. Consequently, independent studies with larger sample sizes are essential to replicate our results. Additionally, the specific roles of the identified variants in the pathogenic mechanisms of SPGF should be assessed through functional experiments. WIDER IMPLICATIONS OF THE FINDINGS Our findings highlight the benefit of using GWAS genotyping to screen for both common and rare variants potentially implicated in idiopathic cases of SPGF, whether due to complex or monogenic causes. The discovery of novel genetic risk factors for SPGF and the elucidation of the underlying genetic causes provide new perspectives for personalized medicine and reproductive counselling. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the Spanish Ministry of Science and Innovation through the Spanish National Plan for Scientific and Technical Research and Innovation (PID2020-120157RB-I00) and the Andalusian Government through the research projects of “Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020)” (ref. PY20_00212) and “Proyectos de Investigación aplicada FEDER-UGR 2023” (ref. C-CTS-273-UGR23). SGM was funded by the previously mentioned projects (ref. PY20_00212 and PID2020-120157RB-I00). AGJ was funded by MCIN/AEI/10.13039/501100011033 and FSE “El FSE invierte en tu futuro” (grant ref. FPU20/02926). IPATIMUP integrates the i3S Research Unit, which is partially supported by the Portuguese Foundation for Science and Technology (FCT), financed by the European Social Funds (COMPETE-FEDER) and National Funds (projects PEstC/SAU/LA0003/2013 and POCI-01-0145-FEDER-007274). SS is supported by FCT funds (10.54499/DL57/2016/CP1363/CT0019), ToxOmics-Centre for Toxicogenomics and Human Health, Genetics, Oncology and Human Toxicology, and is also partially supported by the Portuguese Foundation for Science and Technology (UIDP/00009/2020 and UIDB/00009/2020). SLarriba received support from Instituto de Salud Carlos III (grant: DTS18/00101], co-funded by FEDER funds/European Regional Development Fund (ERDF)-a way to build Europe-), and from “Generalitat de Catalunya” (grant 2021SGR052). SLarriba is also sponsored by the “Researchers Consolidation Program” from the SNS-Dpt. Salut Generalitat de Catalunya (Exp. CES09/020). All authors declare no conflict of interest related to this study.

Spatial Distribution of Public Lower Secondary School and its Impact on Students’ Enrolment in Ogun Central Senatorial District Ogun State, Nigeria

Given the quest for universal basic education, the large enrolments in the Nigerian secondary educational institutions has resulted in the problem of over-crowded classes, shortage of teachers and shortages of classroom, which portend enormous challenges to the development of the educational sector in Ogun state. Using Ogun Central as a case study, the study identified the spatial pattern of the schools; analyzing students’ enrolment trends in the area, and identifying the factors associated with the observed pattern. Spatial analysis tool in ArcGIS was used to analyze both the spatial accessibility index and the students’ annual enrolment trend of the lower secondary school in the area. The result of the nearest neighbor analysis for the spatial pattern of lower secondary schools in the study revealed a random pattern. This pattern implies that the lower secondary schools are located far from one another, which indicates, that for students to attend the schools, most of them need to cover long distances. The spatial distribution of junior secondary school is influenced by socioeconomic status, environmental factors, demographic characteristics, transportation infrastructure, and geographic accessibility, which are key determinants of educational equity. Linear regression analysis was employed to identify trends and predict future enrollments of students. Further, the results of the trend analysis of enrolments of students in the zone from 2020 – 2023 reveal a negative trend. This implies a decrease in students’ enrolment as the year increases. The four years (2020 – 2023) annual trend of enrolments in the zone is represented by the negative trend y = -3180.3x + 99400. This result suggests that the students’ enrolments in the zone would gradually keep decreasing as time goes on if quick remedial actions are not taken. However, factors such as shortage of teachers, shortage of classrooms, COVID-19, insufficient infrastructural facilities and fuel subsidy removal could be responsible for the negative enrolment trend