Biomarkers Of Susceptibility Research Articles

Impact of Chondroitin Sulfate Proteoglycan 4 Pseudogene 12 Genetic Variants on Colorectal Cancer Risk: A Case-Control Study.

This study aims to investigate the correlation between the chondroitin sulfate proteoglycan 4 pseudogene 12 (CSPG4P12) polymorphism and the risk of colorectal cancer (CRC). This case-control study involved 850 patients with CRC and 850 health controls. The genotypes of CSPG4P12 (rs2880765, rs6496932, and rs8040855) were determined by the TaqMan-MGB probe method. Logistic regression model was employed to evaluate the association of CSPG4P12 single-nucleotide polymorphisms (SNPs) with the risk of CRC by calculating the odds ratio (OR) and 95% confidence interval (CI). The CSPG4P12 exhibited lower expression in CRC tissues. Our data showed that the rs6496932 variant increased CRC risk (CA vs. CC: p = 0.006; CA + AA vs. CC: p = 0.005). In contrast, the rs8040855 variant reduced the risk of CRC (CG vs. CC: p < 0.001; CG + GG vs. CC: p < 0.001). Stratification by gender and age revealed that the rs8040855 variant decreased CRC risk; however, the rs6496932 variant increased CRC risk among males (CA vs. CC: p = 0.024; CA + AA vs. CC: p = 0.014) and younger individuals (CA vs. CC: p = 0.004; CA + AA vs. CC: p = 0.010). When stratified by smoking and drinking status, the rs8040855 variant decreased CRC risk among nonsmokers (CG vs. CC: p < 0.001; CG + GG vs. CC: p < 0.001) and nondrinkers (CA vs. CC: p = 0.002; CA + AA vs. CC: p = 0.004). The rs6496932 variant increased CRC risk among nonsmokers (CA vs. CC: p = 0.016; CA + AA vs. CC: p = 0.036) and nondrinkers (CG vs. CC: p < 0.001; CG + GG vs. CC: p < 0.001). Haplotype analysis showed that the CSPG4P12 Trs2880765Crs6496932Grs8040855 haplotype reduced the risk of CRC compared with the reference haplotype (CSPG4P12 Ars2880765Crs6496932Crs8040855) (OR = 0.46, 95% CI = 0.26-0.82, p = 0.049). These findings highlight the potential of these genetic variants as biomarkers for CRC susceptibility, offering insights into personalized prevention strategies.

Polymorphisms within autophagy-related genes as susceptibility biomarkers for pancreatic cancer: A meta-analysis of three large European cohorts and functional characterization.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with patients having unresectable or metastatic disease at diagnosis, with poor prognosis and very short survival. Given that genetic variation within autophagy-related genes influences autophagic flux and susceptibility to solid cancers, we decided to investigate whether 55,583 single nucleotide polymorphisms (SNPs) within 234 autophagy-related genes could influence the risk of developing PDAC in three large independent cohorts of European ancestry including 12,754 PDAC cases and 324,926 controls. The meta-analysis of these populations identified, for the first time, the association of the BIDrs9604789 variant with an increased risk of developing the disease (ORMeta = 1.31, p = 9.67 × 10-6). We also confirmed the association of TP63rs1515496 and TP63rs35389543 variants with PDAC risk (OR = 0.89, p = 6.27 × 10-8 and OR = 1.16, p = 2.74 × 10-5). Although it is known that BID induces autophagy and TP63 promotes cell growth, cell motility and invasion, we also found that carriers of the TP63rs1515496G allele had increased numbers of FOXP3+ Helios+ T regulatory cells and CD45RA+ T regulatory cells (p = 7.67 × 10-4 and p = 1.56 × 10-3), but also decreased levels of CD4+ T regulatory cells (p = 7.86 × 10-4). These results were in agreement with research suggesting that the TP63rs1515496 variant alters binding sites for FOXA1 and CTCF, which are transcription factors involved in modulating specific subsets of regulatory T cells. In conclusion, this study identifies BID as new susceptibility locus for PDAC and confirms previous studies suggesting that the TP63 gene is involved in the development of PDAC. This study also suggests new pathogenic mechanisms of the TP63 locus in PDAC.

Toxicity Potential of Nutraceuticals.

During the past few decades and especially during and after the COVID-19 pandemic, the use of nutraceuticals has become increasingly popular in both humans and animals due to their easy access, cost-effectiveness, and tolerability with a wide margin of safety. While some nutraceuticals are safe, others have an inherent toxic potential. For a large number of nutraceuticals, no toxicity/safety data are available due to a lack of pharmacological/toxicological studies. The safety of some nutraceuticals can be compromised via contamination with toxic plants, metals, mycotoxins, pesticides, fertilizers, drugs of abuse, etc. Knowledge of pharmacokinetic/toxicokinetic studies and biomarkers of exposure, effect, and susceptibility appears to play a pivotal role in the safety and toxicity assessment of nutraceuticals. Interaction studies are essential to determine efficacy, safety, and toxicity when nutraceuticals and therapeutic drugs are used concomitantly or when polypharmacy is involved. This chapter describes various aspects of nutraceuticals, particularly their toxic potential, and the factors that influence their safety.

Ancestry-Related Differences in Allele and Genotype Frequencies of EGF A61G Polymorphism in the Cuban Population

Background: The polymorphism rs4444903 of the Epidermal Growth Factor gene (EGF A61G) causes differences in the EGF serum levels. It has become a biomarker for genetic susceptibility to cancer and a pharmacogenomic marker for therapies involving the EGF/EGF-receptor pathway. Objective: The present study aimed to characterize the allele and genotype frequencies of the rs4444903 in a Cuban sample and its relationship to a specific genetic ancestry. Methods: A cross-sectional study was carried out. Genomic data was collected from a dense genome-wide genotyping array analysis of 948 Cubans from all provinces. The allele and genotype frequencies of the rs4444903 were calculated. Analysis of ancestryrelated allelic/genotypic differences was performed. Results: The frequencies for both alleles were found to be very similar (0.52 for G vs. 0.48 for A allele), and genotype frequencies were 24.3%, 47.9%, and 27.8% for AA, AG, and GG, respectively. Greater differences were found between Cuban provinces, with frequencies for the G allele ranging from 0.38 in Artemisa to 0.69 in Guantánamo and for the GG genotype from 14.29% in Mayabeque to 50.88% in Guantánamo. An increased African-ancestry proportion was related to a higher probability of carrying G allele and GG genotype, with a significant (p=0.0038, q=0.024) African-ancestry-enrichment pattern. Conclusion: African ancestry seems to contribute to an increase in the EGF61*G allele in Cubans. Geographic patterns in admixture proportions for African and European ancestry are a determinant factor in the allelic and genotypic frequency differences between Cuban provinces. Such differences should be observed when designing association studies and implementing therapeutic approaches based on the EGF/EGF receptor pathway in Cuba.

The effects of the MTHFR 677C>T (rs1801133) genetic variant on susceptibility and disability worsening in multiple sclerosis patients are mediated by homocysteine

BackgroundInteractions between genetic and environmental variables contribute to the autoimmune inflammatory process in multiple sclerosis (MS). Elevated homocysteine levels, and vitamin D, vitamin B12, and folate deficiencies are some of the environmental factors associated with the pathogenesis of MS. Considering that the relationship between MTHFR 677C>T (rs1801133) genetic variant, homocysteine, and folate in patients with MS remains unclear and that their role were not extensively explored in the clinical course of the disease, we investigated whether this variant and plasma homocysteine and folate levels are associated with MS susceptibility, disability, disability progression, and inflammatory biomarkers. MethodsThe case-control study included 163 patients with MS categorized using the Expanded Disability Status Scale (EDSS) as mild (EDSS<3) and moderate/high (EDSS≥3) disability, and 226 healthy controls (HC). Disability progression was evaluated using Multiple Sclerosis Severity Score (MSSS) and the MTHFR 677C>T variant was genotyped using real time polymerase chain reaction. The plasma levels of some inflammatory biomarkers were determined. Two new composed scores were proposed: the first, namely as inflammatory activity index (IAI), was entered as a latent vector extracted from the macrophage M1 + T helper (Th)1 + Th17 + Th2 + T regulatory (Treg) cytokines, + tumor necrosis factor (TNF)-α+ soluble TNF receptor (sTNFR)-1 + sTNFR2. The second score, namely MS-severity index was entered as a latent vector extracted from the EDSS + MSSS scores + MS diagnosis. ResultsPatients with MS showed higher homocysteine and folate than controls (p < 0.001); homocysteine, and the M1, Th1, Th17, and Th2 Treg cytokine values were different between the three study groups and increased from HC to MS patients with mild disability and to MS patients with moderate/high disability (p < 0.0001). The levels of TNF-α and their soluble receptors sTNFR1 and sTNFR2 were higher in MS patients with EDSS≥3 than in the two other groups (EDSS<3 and HC) (p < 0.001). There was no association between the MTHFR 677 C > T genotypes and MS susceptibility, disability and disability progression (p > 0.05). Moreover, 21.8 % of the disability variance was explained by age, IAI and C-reactive protein (CRP) (all positively associated); 10.9 % of the disability progression variance was predicted by IAI and CRP (both positively) and 25-hydroxyvitamin D (negatively), whereas 54.4 % of the severity index (MS-EDSS-MSSS) was explained by the regression on age, IAI, homocysteine, folate, and CRP (all positively), and adiponectin, body mass index, and 25-hydroxyvitamin D (all negatively), female sex, and the MTHFR 677 TT genotype. In patients and controls, 16.6 % of the variance in the homocysteine was explained by the MTHFR 677 TT genotype and age (both positively), folate (negatively) and male sex. ConclusionThe MTHFR 677C>T variant has an indirect effect on the increase in disability in patients with MS, which also depends on factors such as age, sex, ad folate status.

Gene Age Gap Estimate (GAGE) for major depressive disorder: a penalized biological age model using gene expression.

Recent associations between Major Depressive Disorder (MDD) and measures of premature aging suggest accelerated biological aging as a potential biomarker for MDD susceptibility or MDD as a risk factor for age-related diseases. Statistical and machine learning regression models of biological age have been trained on various sources of high dimensional data to predict chronological age. Residuals or "gaps" between the predicted biological age and chronological age have been used for statistical inference, such as testing whether an increased age gap is associated with a given disease state. Recently, a gene expression-based model of biological age showed a higher age gap for individuals with MDD compared to healthy controls (HC). In the current study, we propose a machine learning approach that simplifies gene selection by using a least absolute shrinkage and selection operator (LASSO) penalty to construct an expression-based Gene Age Gap Estimate (GAGE) model. We construct the LASSO-GAGE (L-GAGE) model in an RNA-Seq study of 78 unmedicated individuals with MDD and 79 HC and then test for accelerated biological aging in MDD. When testing L-GAGE association with MDD, we account for factors such as sex and chronological age to mitigate regression to the mean effects. The L-GAGE shows higher biological aging in MDD subjects than HC, but the elevation is not statistically significant. However, when we dichotomize chronological age, the interaction between MDD status and age is significant in L-GAGE model. This effect remains statistically significant even after adjusting for chronological age and sex. We find cytomegalovirus (CMV) serostatus is associated with elevated L-GAGE. We also investigate feature selection methods Random Forest and nearest neighbor projected distance regression (NPDR) to characterize age related genes, and we find functional enrichment of infectious disease and SARS-COV pathways.

Agonists, Antagonists and Receptors of Somatostatin: Pathophysiological and Therapeutical Implications in Neoplasias.

Somatostatin is a peptide that plays a variety of roles such as neurotransmitter and endocrine regulator; its actions as a cell regulator in various tissues of the human body are represented mainly by inhibitory effects, and it shows potent activity despite its physiological low concentrations. Somatostatin binds to specific receptors, called somatostatin receptors (SSTRs), which have different tissue distributions and associated signaling pathways. The expression of SSTRs can be altered in various conditions, including tumors; therefore, they can be used as biomarkers for cancer cell susceptibility to certain pharmacological agents and can provide prognostic information regarding disease evolution. Moreover, based on the affinity of somatostatin analogs for the different types of SSTRs, the therapeutic range includes conditions such as tumors, acromegaly, post-prandial hypotension, hyperinsulinism, and many more. On the other hand, a number of somatostatin antagonists may prove useful in certain medical settings, based on their differential affinity for SSTRs. The aim of this review is to present in detail the principal characteristics of all five SSTRs and to provide an overview of the associated therapeutic potential in neoplasias.

Abstract P420: Amino acid and organic acid signature in urine of prepubescents with higher cardiometabolic risk evaluated by waist-to-height ratio

The waist-to-height ratio (WHtR) is a valuable tool for assessing central obesity and cardiometabolic risk, even in non-obese individuals. Childhood obesity is linked to metabolic abnormalities underlying cardiovascular diseases. Amino acids are fundamental in several metabolic processes, such as synthesizing proteins, ATP, and neurotransmitters. Organic acids are products of the metabolism of amino acids, carbohydrates, and fats. We assessed the hypothesis that their levels can serve as biomarkers for exposure, disease progression, and susceptibility, aiding in early intervention strategies. This cross-sectional study assessed amino acids and organic acids profiles in urine from prepubescent children categorized by WHtR. The 110 Brazilian participants aged 9-10 were classified as higher (n=48) or normal (n=62) cardiovascular risk. LC-MS/MS analyzed 47 amino acids and 73 organic acids in 12-hour urine samples, concentration values were adjusted by urinary creatinine. Standard protocols were used to obtain biochemical profiles, cardiovascular and anthropometric parameters. A metabolic signature in the urine of prepubescents at higher cardiometabolic risk was characterized by increased levels of the aromatic amino acids [Tyr ( 131 vs 90, p &lt; 0.01 ), Trp ( 109 vs 95, p =0.02 ) and Phe ( 65 vs 46, p = 0.04 )], Lys ( 212 vs 160, p &lt; 0.01 ), α-aminoadipic acid (61 vs 49, p &lt; 0.01 ), and cystathionine ( 25 vs 21 nmol/mg of creatinine, p = 0.03 ) while the levels of the organic acids p-OH-phenyl lactic (4.82 vs 3.7 ug/mg of creatinine, p = 0.02 ), suberylglycine (0.37 vs 0.18 , p = 0.01 ), and benzoic acid (2.67 vs 1.77 , p = 0.01 ) were found to be reduced. These amino acids were correlated with increased anthropometric measurements, low HDL-C, and hypertriglyceridemia. Also, Lys and Tyr were positively associated with higher systolic blood pressure. The organic acids were negatively correlated with anthropometric measurements and benzoic acid showed a positive correlation with time of exclusive breastfeeding. Findings indicate that children at higher cardiometabolic risk present an amino acid and organic acid signature in urine, this amino acid signature is commonly reported in type 2 diabetes and adults with cardiovascular disease. The organic acid signature in the urine of children in the context of cardiometabolic risk is reported for the first time.

OS03-10 Early biomarkers of cancer susceptibility in benzene-exposed workers: integrated analysis of gene expression, microRNA alterations, and DNA methylation datasets

OS03-10 Early biomarkers of cancer susceptibility in benzene-exposed workers: integrated analysis of gene expression, microRNA alterations, and DNA methylation datasets

Comparative analysis of fecal microbiota between diarrhea and non-diarrhea piglets reveals biomarkers of gut microbiota associated with diarrhea

Diarrhea poses a significant threat to the health and well-being of weaned piglets, leading to substantial morbidity and mortality and economic loss in the pig industry. However, the structural characteristics of the gut microbiota and the key genera associated with early diarrhea in piglets within large-scale production systems are poorly understood. To identify the biomarkers of gut microbiota associated with diarrhea in piglets, we collected 250 fecal samples from 3 large-scale farms as discovery cohorts to investigate the differences in the microbial community structure and the specific genera alteration between the healthy piglets and diarrhea piglets. The Chao1 and ACE indices were obviously lower in the diarrhea piglets compared to healthy ones (P < 0.01). Principal coordinate analysis showed significant differences in the distance matrix of gut microbiota between the healthy and diarrhea piglets. Eighty-five genera were differentially enriched between healthy and diarrhea piglets. Notably, Treponema, Sphaerochaeta, Escherichia-Shigella, Slackia, and Staphylococcus were identified as potential biomarkers of diarrhea susceptibility; Clostridium sensu stricto 1, Prevotella_9, Olsenella, Dorea, and Lachnospiraceae NK4A136 group were found to be beneficial for maintaining the intestinal homeostasis. These differentially enriched genera of healthy and diarrhea piglets were further confirmed in the validation cohort. These findings provide a theoretical basis for the diagnosis and intervention of diarrhea in weaned piglets.

Mannose-Binding Lectin Gene Variants as Disease Susceptibility Biomarkers in Rheumatoid Arthritis.

Background: Rheumatoid arthritis (RA) is a chronic, inflammatory autoimmune disease characterized by progressive destruction of peripheral joints. About 1% of the human population worldwide is suffering from this disease. The pathophysiology of RA is largely being influenced by immune dysregulation. Mannose-binding lectin (MBL), an acute-phase protein, has been reported to play an important role in pathogenesis of RA by the activation of complement pathway. Various studies documented the established the role of MBL in pathogenesis of various autoimmune diseases, including RA. MBL protein is encoded by gene MBL2, mapped on chromosome 10q11.2-q21. Objective: Both MBL serum levels and activity are mainly determined genetically by its variants. So considering the putative clinical role of MBL2, this case-control association study was designed to assess its six functional variants in a northwestern Indian cohort. Methods: Genetic typing of six MBL2 variants was done by amplification refractory mutation system-polymerase chain reaction. Data were analyzed using suitable statistical tools. Results: Significant difference has been observed in genotypic and allelic distribution between cases and controls for rs11003125. Comparison of allelic distribution for rs1800450 showed significantly high prevalence of A allele in cases than controls. Conclusion: These results indicate that MBL2 variants may act as plausible marker for susceptibility toward RA. Keeping this in view, it is pertinent to screen these variants in other population groups of India.

Association of FOXO3 (rs17069665) gene polymorphism and childhood acute lymphoblastic leukemia in Egypt

BackgroundAcute lymphoblastic leukemia (ALL) is the most common malignancy in children. Genetic variations, particularly gene polymorphisms, have been closely linked to increased susceptibility to ALL. One of those genes is Forkhead box O3 (FOXO3), which is considered a potential tumor suppressor gene. AimThis study intended to examine the potential significance of the FOXO3 (rs17069665) single nucleotide polymorphism (SNP) as a risk factor for childhood ALL, in addition to its effect on the laboratory results, clinical manifestations and the clinical outcome after induction of chemotherapy. Subjects and methodsSixty-six newly diagnosed ALL children and 70 healthy children of matched age and sex as controls were recruited. FOXO3 (rs17069665) polymorphism was detected using TaqMan real time PCR. ResultsHigher frequencies of the (AG) genotype and G-allele of FOXO3 (rs17069665) variant were present in ALL patients in comparing with the controls (16.7 % vs. 4.3 %, p = 0.017 and 11.4 % vs. 2.1 %, p = 0.003, respectively). The frequencies of the FOXO3 (rs17069665) SNP reflected a noticeably higher risk of ALL under diverse genetic models, including the co-dominant model (AG vs. AA, OR = 2.55), dominant (AG + GG vs. AA, OR = 2.81), and allelic (G-allele vs. A-allele, OR = 2.9) models. The single case of c-MYC mutation was observed with the (GG) genotype. No significant association between FOXO3 (rs17069665) SNP polymorphism and response to chemotherapy was found. ConclusionOur findings showed that the FOXO3 (rs17069665) polymorphism was associated with a greater incidence of ALL in Egyptian children, which might be a potential biomarker for ALL susceptibility.

Interleukin 18 (-137G/C, -607C/A) Polymorphisms as Genetic Biomarkers of Susceptibility to Systematic Lupus Erythematosus.

Systemic lupus erythematosus (SLE) is an autoimmune disease of unknown etiology. Several studies have suggested that interleukin-18 (IL-18) is associated with SLE pathogenesis. The genotype distribution of IL-18 promoter polymorphisms differs among ethnic populations. The present study aimed to investigate the correlation between IL-18 polymorphisms at positions -137 and -607 in patients situated in Northeastern Iran. This case-control study examined the prevalence of IL-18 -137C/G and -607C/A polymorphic variants among 95 SLE patients referred to the Department of Rheumatology, who were referred to the general clinics of Ghaem Hospital and Imam Reza Hospital in Mashhad, Iran, were included in the study. In addition, 100 healthy individuals were included in the control group. DNA from whole blood was extracted by the salting-out method using a commercial kit (Biogene, US). Allelic and genotypic frequencies of polymorphisms (-137G/C, -607C/A) in the IL-18 promoter gene were analyzed using a polymerase chain reaction (PCR)-based amplification refractory mutation system (ARMS) method. The results of this study demonstrated that the frequency of SLE patients with the homozygous C/C genotype of the IL-18 promoter gene at position -137 was significantly higher than that of the homozygous G/G genotype (P < 0.001) in normal controls. Furthermore, the polymorphism analysis performed illustrated a significant association between (-137G/C) and (-607C/A) polymorphisms in the IL-18 promoter gene and SLE (P < 0.005). These results indicated that the 607A/A and 137C/C polymorphisms are more prevalent in SLE. Further research involving larger sample sizes from various populations is necessary to elucidate the role of these polymorphisms and the distribution of alleles in SLE patients.

Influence of structural racism on cancer health disparities: Tailoring measures relevant to multiple myeloma.

This commentary highlights a need for comprehensive measures of structural racism tailored to cancer health disparities, in particular Black-White disparities in multiple myeloma (MM). Recent political and social calls and advances in the ability to quantitate structural racism have led to rapidly growing research on the health consequences of structural racism. However, to date, most studies have used unidimensional measures of structural racism that do not capture cumulative influences or enable the identification of factors most responsible for driving disparities. Furthermore, measures may not reflect aspects of structural racism most relevant to underlying disease processes and risks. This study proposes a multifaceted approach to measuring structural racism relevant to MM that includes comprehensive, disease- and at-risk population-tailored social and environmental data and biomarkers of susceptibility and progression related to underlying biological changes associated with structural racism. Such novel measures of structural racism may improve the ability to assess the influence of structural racism on cancer health disparities, which may advance understanding of disease etiology and differences observed by racialized groups.

Computational Analyses Reveal Deregulated Clock Genes Associated with Breast Cancer Development in Night Shift Workers.

Breast cancer (BC) is the leading cause of cancer death among women worldwide. Women employed in shift jobs face heightened BC risk due to prolonged exposure to night shift work (NSW), classified as potentially carcinogenic by the International Agency for Research on Cancer (IARC). This risk is linked to disruptions in circadian rhythms governed by clock genes at the cellular level. However, the molecular mechanisms are unclear. This study aimed to assess clock genes as potential BC biomarkers among women exposed to long-term NSW. Clock gene expression was analysed in paired BC and normal breast tissues within Nurses' Health Studies I and II GEO datasets. Validation was performed on additional gene expression datasets from healthy night shift workers and women with varying BC susceptibility, as well as single-cell sequencing datasets. Post-transcriptional regulators of clock genes were identified through miRNA analyses. Significant alterations in clock gene expression in BC compared to normal tissues were found. BHLHE40, CIART, CLOCK, PDPK1, and TIMELESS were over-expressed, while HLF, NFIL3, NPAS3, PER1, PER3, SIM1, and TEF were under-expressed. The downregulation of PER1 and TEF and upregulation of CLOCK correlated with increased BC risk in healthy women. Also, twenty-six miRNAs, including miR-10a, miR-21, miR-107, and miR-34, were identified as potential post-transcriptional regulators influenced by NSW. In conclusion, a panel of clock genes and circadian miRNAs are suggested as BC susceptibility biomarkers among night shift workers, supporting implications for risk stratification and early detection strategies.

Novel Susceptibility Genes and Biomarkers for Obstructive Sleep Apnea: Insights from Genetic and Inflammatory Proteins.

Numerous observational studies link obstructive sleep apnea (OSA) to inflammatory proteins, yet the directionality of these associations remains ambiguous. Therefore, we aimed to clarify the potential associations of gene-predicted inflammatory proteins with OSA. Based on genome-wide association study data, we applied Mendelian randomization (MR) to explore potential connections between circulating inflammatory proteins and OSA, primarily using the inverse variance weighting method for robustness. Cochran's Q test, MR‒Egger intercept test, MR-PRESSO, and leave-one-out method were used to perform sensitivity tests for pleiotropy and heterogeneity. Replication analyses and meta-analyses were performed using other independent data. Steiger tests and multivariate MR assessed the independent effects of exposure factors, and the functional mapping and annotation (FUMA) platform was used to identify key genes to enhance the understanding of genetics. Our investigation revealed 21 circulating inflammatory proteins significantly associated with OSA-related phenotypes. Notably, IL-10RA, IL-18R1, TNFSF14, CCL23, ADA, and SLAMF1 had significant effects on multiple phenotypes. After FDR correction, IL-18R1, SLAMF1, IL-10RA, and IL-17C were identified as important candidates for OSA, and multivariate MR analysis strengthened the independent heritability of 20 inflammatory factors. The FUMA platform revealed seven overlapping genes: ROBO1, PRIM1, NACA, SHBG, HSD17B6, RBMS2, and WWOX. All reverse MR analyses and sensitivity analyses confirmed the robustness of these associations. Our results underscore crucial associations between inflammatory proteins and OSA pathogenesis, revealing new correlates and susceptibility genes. These findings advance biomarker identification for OSA risk and highlight the importance of genetic and inflammatory profiles in OSA management.

Exposure to metal mixtures and telomere length in Bangladeshi children.

Telomere length is associated with chronic diseases and in younger populations, may represent a biomarker of disease susceptibility. As growing evidence suggests that environmental factors, including metals, may impact telomere length, we investigated the association between 17 metals measured in toenail samples and leukocyte relative telomere length (RTL), among 472 five- to seven-year-old children enrolled in the Bangladesh Environmental Research in Children's Health (BiRCH) cohort. In single exposure linear regression models, a doubling of arsenic (As) and mercury (Hg) (μg/g) were associated with a -0.21 (95%CI: -0.032, -0.010; p=0.0005) and -0.017 (95%CI: -0.029, -0.004; p=0.006) difference in RTL, respectively. In Bayesian Kernel Machine Regression (BKMR) mixture models, the overall metal mixture was inversely associated with RTL (P-for-trend <0.001). Negative associations with RTL were observed with both log2-As and log2-Hg, while an inverted U-shaped association was observed for log2-zinc (Zn) with RTL. We found little evidence of interaction among metals. Sex-stratification identified stronger associations of the overall mixture and log2-As with RTL among females, compared to males. Our study suggests that As and Hg may independently influence RTL in mid-childhood. Further studies are needed to investigate potential long-term impacts of metal-associated telomere shortening in childhood on health outcomes in adult life.

Potential Early Effect Biomarkers for Ambient Air Pollution Related Mental Disorders.

Air pollution is one of the greatest environmental risks to health, with 99% of the world's population living where the World Health Organization's air quality guidelines were not met. In addition to the respiratory and cardiovascular systems, the brain is another potential target of air pollution. Population- and experiment-based studies have shown that air pollution may affect mental health through direct or indirect biological pathways. The evidence for mental hazards associated with air pollution has been well documented. However, previous reviews mainly focused on epidemiological associations of air pollution with some specific mental disorders or possible biological mechanisms. A systematic review is absent for early effect biomarkers for characterizing mental health hazards associated with ambient air pollution, which can be used for early warning of related mental disorders and identifying susceptible populations at high risk. This review summarizes possible biomarkers involved in oxidative stress, inflammation, and epigenetic changes linking air pollution and mental disorders, as well as genetic susceptibility biomarkers. These biomarkers may provide a better understanding of air pollution's adverse effects on mental disorders and provide future research direction in this arena.

CSPG4P12 polymorphism served as a susceptibility marker for esophageal cancer in Chinese population

BackgroundChondroitin sulfate proteoglycan 4 pseudogene 12 (CSPG4P12) has been implicated in the pathogenesis of various cancers. This study aimed to evaluate the association of the CSPG4P12 polymorphism with esophageal squamous cell carcinoma (ESCA) risk and to explore the biological impact of CSPG4P12 expression on ESCA cell behavior.MethodsA case-control study was conducted involving 480 ESCA patients and 480 healthy controls to assess the association between the rs8040855 polymorphism and ESCA risk. The CSPG4P12 rs8040855 genotype was identified using the TaqMan-MGB probe method. Logistic regression model was used to evaluate the association of CSPG4P12 SNP with the risk of ESCA by calculating the odds ratios (OR) and 95% confidence intervals (95%CI ). The effects of CSPG4P12 overexpression on cell proliferation, migration, and invasion were examined in ESCA cell lines. Co-expressed genes were identified via the CBioportal database, with pathway enrichment analyzed using SangerBox. The binding score of CSPG4P12 to P53 was calculated using RNA protein interaction prediction (RPISeq). Additionally, Western Blot analysis was performed to investigate the impact of CSPG4P12 overexpression on the P53/PI3K/AKT signaling pathway.ResultsThe presence of at least one rs8040855 G allele was associated with a reduced susceptibility to ESCA compared to the CC genotype (OR = 0.51, 95%CI = 0.28–0.93, P = 0.03). Stratification analysis revealed that the CSPG4P12 rs8040855 C allele significantly decreased the risk of ESCA among younger individuals (≤ 57 years) and non-drinkers (OR = 0.31, 95%CI = 0.12–0.77, P = 0.01; OR = 0.42, 95%CI=0.20–0.87, P = 0.02, respectively). CSPG4P12 expression was found to be downregulated in ESCA tissues compared to adjacent normal tissues. Overexpression of CSPG4P12 in ESCA cells inhibited their proliferation, migration, and invasion capabilities. Furthermore, Western Blot analysis indicated that CSPG4P12 overexpression led to a reduction in PI3K and p-AKT protein expression levels. P53 silencing rescues the inhibitory effect of CSPG4P12 on p-AKT.ConclusionThe CSPG4P12 rs8040855 variant is associated with reduced ESCA risk and the overexpression of CSPG4P12 inhibited the migration and invasion of ESCA cells by P53/PI3K/AKT pathway. These findings suggest that CSPG4P12 may serve as a novel biomarker for ESCA susceptibility and a potential target for therapeutic intervention.

Alterations in Neurotrophins in Alcohol-Addicted Patients during Alcohol Withdrawal.

Alcohol use disorder (AUD) is related to mental and somatic disorders that result in alcohol withdrawal syndrome (AWS), with 30% of AWS cases leading to life-threatening delirium tremens (DTs). Currently, studies do not support using any one biomarker in DTs. Neurotrophins affect neuromodulation, playing a role in the pathogenesis of AUD, AWS, and DTs. This review aims to summarize experimental and clinical data related to neurotrophins and S100B in neuroplasticity, as well as neurodegeneration in the context of AUD, AWS, and DTs. This work used publications that were selected based on the protocol consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The BDNF level could be a good candidate biomarker for relapse susceptibility, as it is significantly reduced during consumption and gradually increases during abstinence. GDNF influences AUD through its integral role in the function of dopaminergic neurons and ablates the return to alcohol-drinking behavior. NGF protects neurons from ethanol-induced cytotoxic damage and affects recovery from cognitive deficits after brain damage. The NT-3 level is decreased after alcohol exposure and is involved in compensatory mechanisms for cognitive decline in AUD. NT-4 affects oxidative stress, which is associated with chronic alcohol consumption. S100B is used as a biomarker of brain damage, with elevated levels in serum in AUD, and can protect 5-HT neurons from the damage caused by alcohol. BDNF, GDNF, NT-3, NT-4, NGF, and S100B may be valuable markers for withdrawal syndrome. In particular, the most relevant is their association with the development of delirium complications. However, there are few data concerning some neurotrophins in AWS and DTs, suggesting the need for further research.