Multiple Alterations Research Articles

Identifying Predictive Biomarkers of Subclinical Mastitis in Dairy Cows through Urinary Metabotyping.

Mastitis is a significant infectious disease in dairy cows, resulting in milk yield loss and culling. Early detection of mastitis-prone cows is crucial for implementing effective preventive measures before disease onset. Current diagnosis of subclinical mastitis (SCM) relies on somatic cell count assessment post-calving, lacking predictive capabilities. This study aimed to identify metabolic changes in pre-SCM cows through targeted metabolomic analysis of urine samples collected 8 wks and 4 wks before calving, using mass spectrometry. A nested case-control design was employed, involving a total of 145 multiparous dairy cows, with disease occurrence monitored pre- and postpartum. Among them, 15 disease-free cows served as healthy controls (CON), while 10 cows exclusively had SCM, excluding those with additional diseases. Urinary metabolite profiling revealed multiple alterations in acylcarnitines, amino acids, and organic acids in pre-SCM cows. Metabotyping identified 27 metabolites that distinguished pre-SCM cows from healthy CON cows at both 8 and 4 wks before parturition. However, only four metabolites per week showed significant alterations (p < 0.005). Notably, a panel of four serum metabolites (asymmetric dimethylarginine, proline, leucine, and homovanillate) at 8 wks prepartum, and another panel (asymmetric dimethylarginine, methylmalonate, citrate, and spermidine) at 4 wks prepartum, demonstrated predictive ability as urinary biomarkers for SCM risk (AUC = 0.88; p = 0.02 and AUC = 0.88; p = 0.03, respectively). In conclusion, our findings indicate that metabolite testing can identify cows at risk of SCM as early as 8 and 4 wks before parturition. Validation of the two identified metabolite panels is warranted to implement these predictive biomarkers, facilitate early intervention strategies, and improve dairy cow management to mitigate the impact of SCM. Further research is needed to confirm the efficacy and applicability of these biomarkers in practical farm settings.

A review on non-small cell lung cancer

Lung cancer is among the leading causes of death related to cancer globally, with NSCLC (non-small cell lung cancer) accounting for about 85% of all cases. NSCLC is characterized by a complex genetic landscape, with multiple driver mutations and epigenetic alterations that promote tumor progression and resistance to therapy. NSCLC is treated with immunotherapy, chemotherapy, radiation, surgery, or molecularly targeted therapy. However, a significant number of patients who had surgery are likely to experience local recurrence or distant metastases. Immunotherapy and targeted therapies have advanced rapidly in the last few years. Here, in this review, details related to NSCLC, its types, preventive measures, and risk factors, their symptoms, method of screening, diagnosis, and related treatment, and the latest updates related to NSCLC are discussed.

Efficacy of a phone reminder to improve adherence to post-partum glucose tolerance testing after gestational diabetes and clinical predictors of post-partum follow-up compliance

AimTo assess the effectiveness of a phone reminder to improve adherence to post-partum glucose tolerance testing in women with gestational diabetes mellitus (GDM) and to identify clinical predictors of adherence to post-partum follow-up. MethodsRetrospective study including 543 women with GDM. We assessed the adherence rate to post-partum glucose tolerance testing in women who received a phone reminder (n = 297) compared to women not alerted (n = 246). Demographic and clinical variables were collected to identify the predictors of adherence to the post-partum oral glucose tolerance test (OGTT). ResultsThe adherence to post-partum OGTT was higher in women who received the phone reminder compared to those not alerted (60.6 % vs. 35.4 %, p < 0.001). Women less compliant compared to those more compliant, had a higher pre-pregnancy body mass index (BMI) (29.3 ± 7.9 vs. 27.0 ± 6.1 Kg/m2, p = 0.03). The adherence was lower in pre-pregnant obese compared to non-obese women (42.7 % vs. 52.0 %, p < 0.05), in women with only one, compared to multiple OGTT alterations during pregnancy (44.5 % vs. 57.8 %, p < 0.05), and in women non-insulin treated compared to those insulin-treated (40.0 % vs. 57.1 % vs, p < 0.001). ConclusionsThe phone reminder improved post-partum follow-up adherence. Pre-pregnancy BMI, number of OGTT alterations and type of therapy could identify poorly adherent women.

Effect of Rutin on the Behavioural, Biochemical and Liver Morphological Changes in Danio Rerio Exposed to Reduced Graphene Oxide (Rgo) Nanoparticles

ABSTRACT: Reduced graphene oxide (rGO) is a carbon nanomaterial with unique characteristics that permit application in numerous fields. Rutin is a flavonoid with a variety of biological functions and pharmaceutical applications. In topical years, a handful of research has stated on the environmental impacts of carbon nanoparticles (NPs) and the consequences of reduced graphene oxide on the species that live in water bodies. However, the capacity to recuperate after exposure is still mostly unfamiliar. This study analyzed the protective effect of rutin against rGO NPs in zebrafish and the optimal dose required to inverse the impairment caused by rGO NPs exposure in zebrafish. In this study, fish were treated for 14 days and 8 study groups were examined: control, rGO exposure alone (10 mg/L), rutin exposure alone (50, 100 and 200 mg/L) and rGO combined with 3 distinct rutin doses (10 mg/L of rGO + rutin 50, 100, and 200 mg/L). In the zebrafish gill tissues, rGO impairs cells by increasing LPO levels and inducing oxidative stress by suppressing antioxidants (SOD, CAT, GPx, GSH, GR, GST, and vitamin C). Multiple alterations, including sinusoidal and venous congestion, vacuole formation or cytoplasmic vacuolation of hepatocytes, an enlarged hepatic plate gap, and necrosis, were revealed on the structural examination of liver tissues. Based on our results, we conclude that sub-lethal doses of rGO (10 mg/L) could be harmful to zebrafish. Rutin supplementation between 100 and 200 mg/L can protect against the toxic effects of rGO, even though rGO is detrimental to the exposed fish population.

Metabolic Consequences of Anabolic Steroids, Insulin, and Growth Hormone Abuse in Recreational Bodybuilders: Implications for the World Anti-Doping Agency Passport

BackgroundHormonal doping in recreational sports is a public-health concern. The World Anti-Doping Agency (WADA) promoted the creation of the Athlete Biological Passport, aiming to monitor athlete’s biological variables over time to facilitate indirect detection of doping. Detection tests for anabolic androgenic steroids (AAS) and growth hormone (GH) are available while insulin abuse cannot be revealed. We have determined in recreational bodybuilders the metabolic effects associated with different patterns of hormone abuse. All analyses were conducted using Statistical Package for Social Sciences (SPSS) 21.0 software (SPSS Chicago, IL).ResultsWe have assessed plasma concentrations of selected metabolic markers and fatty acid content in erythrocyte membranes of 92 male bodybuilders and in 45 healthy controls. Hormonal abuse was identified by anonymous questionnaires. 43% (%) of recruited bodybuilders regularly abused hormones, i.e., anabolic androgenic steroids (95%) often associated with GH (30%) and/or insulin (38%). HDL-cholesterol was lower in insulin and/or GH abusers. Alanine (ALT) and aspartic (AST) transaminases were greater in hormone abusing bodybuilders than in non-doping bodybuilders and controls. Insulin doping was selectively associated with increased plasma ALT-to-AST ratio. In erythrocyte membranes, elongase activity (i.e., stearic-to-palmitic ratio) was lower in insulin and/or growth hormone doping, whereas increased Δ-9 desaturase activity (i.e., palmitoleic-to-palmitic ratio) was selectively associated with insulin doping.ConclusionsIn conclusion, our study demonstrates that insulin and GH abuse are characterized by multiple alterations of specific metabolic markers. Although further studies are needed to test whether longitudinal monitoring of selected metabolic marker such as muscle contraction time, HDL levels, ALT-AST ratio as well as the activities of selected enzymes (e.g. Δ-9 desaturase and elongase), could contribute to the detection of insulin and GH abuse in sport.

Abstract 2827: Characterization of acute myeloid leukemia PDX models with hotspot gene mutations for therapeutic evaluation

Abstract Introduction: Acute myeloid leukemia (AML) is the most common acute type of leukemia in adults characterized by chromosomal abnormalities and gene mutations. While inhibitors have shown promise targeting FLT3 mutations, resistance to these inhibitors can emerge. Similarly, inhibitors targeting IDH1 and IDH2 mutations showed promise, yet the emergence of drug resistance poses a significant challenge. In this study, a panel of AML PDX models with multiple gene alterations was established to support the development of new therapies. Methods: The systemic AML PDX models were established using patients’ peripheral blood (PB) or bone morrow (BM) injected intravenously and expanded in vivo by using splenic tumor cells. One AML PDX model derived from patient skin was established subcutaneously. Expression of human CD45+ in PB cells for systemic models or tumor volume for the subcutaneous model was used to monitor the tumor burden. Leukemic loads (hCD45+ cells) were measured in PB, spleen (SP), and BM. Tumors were categorized following tumor immunophenotyping, histology, and RNA sequencing/Whole Exome Sequencing. For in vivo efficacy studies, animals were grouped 3-5 weeks after systemic tumor cells inoculation and treated with AC220 (1, 2 or 10 mg/kg, p.o., QD), Cytarabine (Ara-c, 2mg/kg, i.p., QD), 5-azacytidine (2mg/kg, i.p., QD), Sorafenib (10mg/kg, i.p., QD) and Gilteritinib (10 or 30mg/kg, p.o., QD). Results: Nine systemic and one subcutaneous AML PDX models carrying hotspot mutations (e.i. FLT3-ITD or TKD, IDH1-R132H and IDH2-R140Q) were established, showing comparable features to the clinic. Systemic AM8231 PDX model harboring FLT3-ITD mutation treated with AC220, a type II FLT3i, showed significant tumor burden reduction in PB at different time points and in SP and BM at termination, as well as a survival increase. Similarly in systemic model AM7577 with FLT3-ITD mutation treated with AC220, significant tumor burden reduction in PB was observed. Whereas using systemic model AM9626 (model with Sorafenib pretreatment history) with coexisting-FLT3-ITD/D835H TKD mutation, no significant efficacy was observed with AC220i, suggesting a FLT3-TKD mediated resistance mechanism. To overcome the resistance, Gilteritinib, a type I FLT3i, was tested in AM9626 and showed significant reduction of hCD45+ cells in PB compared to the control group, even at a lowest dose. As model AM9626 PDX also carries IDH1 mutation, the level of serum 2-HG correlated with the tumor burden. The functional effect of IDH1 inhibitor on the tumor inhibition and 2-HG level is under investigation. Conclusion: The results presented in this study showed the establishment of a panel of AML PDX models, including different subtypes and genomic features reflecting the clinic. Those models will support the preclinical evaluation of new treatments or combination modalities as well as a better understanding of drug resistance mechanisms. Citation Format: Qingzhi Liu, Jinxi Wang, Jinping Liu, Likun Zhang, Ludovic Bourre, Jingjing Wang. Characterization of acute myeloid leukemia PDX models with hotspot gene mutations for therapeutic evaluation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2827.

Abstract 2270: UALCAN Mobile, An app for cancer gene expression data analysis

Abstract Cancer is a complex disease effecting different organs and a major cause of death and a burden on the society. Multiple molecular alteration occur during cancer initiation and disease progression and metastasis. Recent advances in technology led to generation of large amount of molecular data including transcriptome. These large datasets can be used to analyze and identify sub-class specific cancer biomarkers and targets. However, there is a need for the development user friendly tools for its analysis and dissemination of the large scale cancer molecular data. Earlier, we had developed and upgraded web based comprehensive proteogenomic platform UALCAN (ualcan.path.uab.edu), which allows users to analyze and integrate the disparate data to better understand the gene, proteins, and pathways perturbed in cancer and make discoveries. UALCAN web platform enables intuitive analysis and discovery by cancer research community. In the current study, we describe the development of UALCAN Mobile application (App) that will provide cancer transcriptomic data obtained from The Cancer Genome Atlas (TCGA) project, to evaluate protein-coding gene expression based on various stratification including stage, grade, race, gender and molecular-subtypes across over 30 types of cancers. The UALCAN Mobile app aims at providing large cancer dataset on the go. In order to find causative gene expression changes, identify biomarkers and therapeutic targets, UALCAN Mobile will assist as the data will be easily mobile and transportable with this App. Here, we describe the development of UALCAN Mobile and its utility to the cancer research community. UALCAN Mobile App can be found at both iOS/Apple and Android play store and is free to download and use. Citation Format: Sooryanarayana Varambally, Darshan Shimoga Chandrashekar, Gopi Chand Puli, Santhosh Kumar Karthikeyan, Upender Manne, Chad J. Creighton, Sidarth Kumar. UALCAN Mobile, An app for cancer gene expression data analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2270.

Glycoprotein nonmetastatic melanoma protein B impacts the malignant potential of bladder cancer cells through its hem-immunoreceptor tyrosine-based activation motif.

Bladder cancer is one of the most common cancers among men worldwide. Although multiple genomic mutations and epigenetic alterations have been identified, an efficacious molecularly targeted therapy has yet to be established. Therefore, a novel approach is anticipated. Glycoprotein nonmetastatic melanoma protein B (GPNMB) is a type I transmembrane glycoprotein that is highly expressed in various cancers. In this study, we evaluated bladder cancer patient samples and found that GPNMB protein abundance is associated with high-grade tumors, and both univariate and multivariate analyses showed that GPNMB is a prognostic factor. Furthermore, the prognosis of patients with high GPNMB levels was significantly poorer in those with nonmuscle invasive bladder cancer (NMIBC) than in those with muscle invasive bladder cancer (MIBC). We then demonstrated that knockdown of GPNMB in MIBC cell lines with high GPNMB inhibits cellular migration and invasion, whereas overexpression of GPNMB further enhances cellular migration and invasion in MIBC cell lines with originally low GPNMB. Therefore, we propose that GPNMB is one of multiple driver molecules in the acquisition of cellular migratory and invasive potential in bladder cancers. Moreover, we revealed that the tyrosine residue in the hemi-immunoreceptor tyrosine-based activation motif (hemITAM) is required for GPNMB-induced cellular motility.

MCT4-driven CAF-mediated metabolic reprogramming in breast cancer microenvironment is a vulnerability targetable by miR-425-5p

Multiple oncogenic alterations contribute to breast cancer development. Metabolic reprogramming, deeply contributing to tumor microenvironment (TME) education, is now widely recognized as a hallmark of cancer. The reverse Warburg effect induces cancer-associated fibroblasts (CAFs) to produce and secrete L-lactate, enhancing malignant characteristics such as neoangiogenesis, metastatic dissemination, and treatment resistance. Monocarboxylate transporter (MCT) 4 is involved in lactate efflux from CAFs into stromal and epithelial cells. Here, we first assess the expression of miR-425-5p and its target MCT4 in breast cancer CAFs and normal fibroblasts. We analyzed the metabolic changes induced by miR-425-5p in CAFs and its role in the education of breast cancer epithelial cells. We show that miR-425-5p-induced MCT4 knockdown decreased lactate extrusion from CAFs and its availability in the TME. miR-425-5p overexpression induced profound metabolic transformation in CAFs, ultimately influencing breast cancer metabolism. Furthermore, miR-425-5p impaired the capacity of CAFs to sustain vessel formation and breast cancer cell migration, viability, and proliferation. These findings emphasize the key role of miR-425-5p in breast cancer metabolism and aggressiveness, and its possible importance for breast cancer therapy and monitoring.

Upregulated expression of lamin B receptor increases cell proliferation and suppresses genomic instability: implications for cellular immortalization.

Mammalian somatic cells undergo terminal proliferation arrest after a limited number of cell divisions, a phenomenon termed cellular senescence. However, cells acquire the ability to proliferate infinitely (cellular immortalization) through multiple genetic alterations. Inactivation of tumor suppressor genes such as p53, RB and p16 is important for cellular immortalization, although additional molecular alterations are required for cellular immortalization to occur. Here, we aimed to gain insights into these molecular alterations. Given that cellular immortalization is the escape of cells from cellular senescence, genes that regulate cellular senescence are likely to be involved in cellular immortalization. Because senescent cells show altered heterochromatin organization, we investigated the implications of lamin A/C, lamin B1 and lamin B receptor (LBR), which regulate heterochromatin organization, in cellular immortalization. We employed human immortalized cell lines, KMST-6 and SUSM-1, and found that expression of LBR was upregulated upon cellular immortalization and downregulated upon cellular senescence. In addition, knockdown of LBR induced cellular senescence with altered chromatin configuration. Additionally, enforced expression of LBR increased cell proliferation likely through suppression of genome instability in human primary fibroblasts that expressed the simian virus 40 large T antigen (TAg), which inactivates p53 and RB. Furthermore, expression of TAg or knockdown of p53 led to upregulated LBR expression. These observations suggested that expression of LBR might be upregulated to suppress genome instability in TAg-expressing cells, and, consequently, its upregulated expression assisted the proliferation of TAg-expressing cells (i.e. p53/RB-defective cells). Our findings suggest a crucial role for LBR in the process of cellular immortalization.

Recovery of memory decline during aging - role of epigenetics

Aging is a natural phenomenon associated with the accumulation of multiple alterations, including memory loss. Such deterioration of memory is based on the susceptibility of specific brain regions and the disorders that coincide with aging in those areas. Previous findings suggest that the optimal expression of synaptic plasticity-related genes is essential for memory formation and consolidation. Epigenetic modifications are one of the most crucial factors that cause memory deterioration by inducing the differential expression of synaptic plasticity-related genes. Understanding the fundamental cause of cognitive alterations that arise with aging is very essential for the development of therapeutic and/or preventive approaches. Several strategies have been employed to restore or reverse the memory decline caused by age-associated epigenetic alterations. The present article emphasizes the role of epigenetic alterations caused by histone modifications, DNA methylation, and non-coding ribonucleic acids (RNAs) on memory during aging. Also, we highlight the mechanistic switches of brain aging, including physical exercise, nutraceuticals, epigenetic modifiers, modulators of non-coding RNAs, and associated targets for therapeutic interventions. The emerging field of neuropharmacology and pharmacoepigenomics provides evidence that small drug molecules are currently employed to treat memory loss associated with aging, particularly by targeting epigenetic systems like DNA methylation, chromatin remodeling, histone modifications, and small non-coding RNAs. Therefore, targeting epigenetic modifications could be a potential therapeutic approach for the improvement of synaptic plasticity, neuronal activities, memory, and other brain functions during aging.

Association of aortic stiffness with abdominal vascular and coronary calcifications in patients with stage 3 and 4 chronic kidney disease

Rationale and objectivesIncreased central (aortic) arterial stiffness has hemodynamic repercussions that affect the incidence of cardiovascular and renal disease. In chronic kidney disease (CKD) there may be an increase in aortic stiffness secondary to multiple metabolic alterations including calcification of the vascular wall (VC).The objective of this study was to analyze the association of central aortic pressures and aortic stiffness with the presence of VC in abdominal aorta (AAC) and coronary arteries(CAC). Materials and methodsWe included 87 pacientes with CKD stage 3 and 4. Using applanation tonometry, central aortic pressures and aortic stiffness were studied. We investigated the association of aortic pulse wave velocity (Pvc-f) and Pvc-f adjusted for age, blood pressure, sex and heart rate (Pvc-f index) with AAC obtained on lumbar lateral radiography and CAC assessed by multidetector computed tomography. AAC and CAC were scored according to Kauppila and Agatston methods, respecti-vely. For the study of the association between Pvc-f index, Kauppila score, Agatston score, central aortic pressures, clinical parameters and laboratory data, multiple and logistic regression were used. We investigated the diagnosis performance of the Pvc-f index for prediction of VC using receiver-operating characteristic (ROC). ResultsPvc-f and Pvc-f index were 11.3 ± 2.6 and 10.6 m/s, respectively. The Pvc-f index was higher when CKD coexisted with diabetes mellitus (DM). AAC and CAC were detected in 77% and 87%, respectively.Albuminuria (β = 0.13, p = 0.005) and Kauppila score (β = 0.36, p = 0.001) were independently associated with Pvc-f index. In turn, Pvc-f index (β = 0.39, p = 0.001), DM (β = 0.46, p = 0.01), and smoking (β = 0.53; p = 0.006) were associated with Kauppila score, but only Pvc-f index predicted AAC [OR: 3.33 (95% CI: 1.6−6.9; p = 0.001)].The Kauppila score was independently associated with the Agatston score (β = 1.53, p = 0.001). The presence of AAC identified patients with CAC with a sensitivity of 73%, a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 38%.The Vpc-f index predicted the presence of CAC [OR: 3.35 (95% CI: 1.04−10.2, p = 0.04)]. In the ROC curves, using the Vpc-f index, the AUC for AAC and CAC was 0.82 (95%CI: 0.71−0.93, p = 0.001) and 0.81 (95% CI: 0.67–0.96, p = 0.02), respectively. ConclusionsWhen stage 3–4 CKD coexists with DM there is an increase in aortic stiffness determined by the Vpc-f index. In stage 3–4 CKD, AAC and CAC are very prevalent and both often coexist. The Vpc-f index is independently associated with AAC and CAC and may be useful in identifying patients with VC in these territories.

The landscape of 8q24 cytoband in gastric cancer (Review).

Worldwide, gastric cancer (GC) is estimated to be the fifth most common type of cancer type in both sexes, ranking sixth for new cases, with >640,850 cases per year, and fourth in terms of mortality rate. Cancer presents numerical and structural alterations in chromosomes, often through gains and losses of regions. In GC, there are multiple genetic alterations, in which those located in cytoband 8q24 have been frequently described; essential genes are present in this cytoband, regulating the homeostasis of crucial biological processes, such as the MYC gene, which induces expression of selective genes to promote cell growth and proliferation. Conversely, DNA sequence variations can also occur when a single nucleotide in the genome sequence is altered, and this is termed a single nucleotide polymorphism (SNP). These alterations, which can serve as a biological marker, are present in at least 1% of the population and assist in identifying genes associated with GC. In the present review, 12 genes present in cytoband 8q24 related to GC (NSMCE2, PCAT1, CASC19, CASC8, CCAT2, PRNCR1, POU5F1B, PSCA, JRK, MYC, PVT1 and PTK2) are discussed. The PSCA gene was cited more frequently than others; it has four known SNPs associated with GC (rs2978980, rs2294008, rs2976392 and rs9297976). Thus, these SNPs should be further studied in different populations to determine their risk value in patients with GC.

Circadian rhythm and whole gut transit in mice.

In preclinical studies whole gut transit (WGT) in mice is a gold-standard "leading-edge" approach that measures the time between orogastric gavage of carmine red and defecation of the first carmine red pellet. Transit studies in humans are performed during the active day because GI motility and transit are suppressed during the night. Since mice are nocturnal, WGT studies traditionally done during the day occur during their rest phase. How circadian rhythm affects WGT in mice is not known. We used an automated approach for high temporal resolution uninterrupted testing of mouse WGT and activity. We housed wild-type Bl6/C57 mice under the standard 12 h light-dark cycles. At 8 weeks, we performed carmine red orogastric gavage and assessed WGT during Light (rest) conditions. Then, we exposed mice to a reverse 12 h light-dark cycle for 2 weeks and tested them in the Dark (active) under red light conditions. Timelapse videos were analyzed to quantify activity and to timestamp all pellets, and multiple parameters were analyzed. When complementary light cycle reversal experiments were performed, we found a significant increase in mouse activity when mice were tested during their Dark (active) phase, compared to their Light (rest) phase. In mice tested in the Active phase compared to the Rest phase, we found a significant acceleration in WGT, increased rate and total number of pellets produced, and more pellet clustering. These data show that the mice tested in the Active phase have important differences in activity that correlate with multiple alterations in gastrointestinal transit. During the Active phase mice have faster WGT, produce more pellets, and cluster their output compared to testing in the Rest phase. Like in humans, circadian rhythm is an important consideration for transit studies in mice, and a simple reverse light cycle approach facilitates further studies on the role of circadian rhythm in GI motility.

Delineating the role of nuclear receptors in colorectal cancer, a focused review.

Colorectal cancer (CRC) stands as one of the most prevalent form of cancer globally, causing a significant number of deaths, surpassing 0.9 million in the year 2020. According to GLOBOCAN 2020, CRC ranks third in incidence and second in mortality in both males and females. Despite extensive studies over the years, there is still a need to establish novel therapeutic targets to enhance the patients' survival rate in CRC. Nuclear receptors (NRs) are ligand-activated transcription factors (TFs) that regulate numerous essential biological processes such as differentiation, development, physiology, reproduction, and cellular metabolism. Dysregulation and anomalous expression of different NRs has led to multiple alterations, such as impaired signaling cascades, mutations, and epigenetic changes, leading to various diseases, including cancer. It has been observed that differential expression of various NRs might lead to the initiation and progression of CRC, and are correlated with poor survival outcomes in CRC patients. Despite numerous studies on the mechanism and role of NRs in this cancer, it remains of significant scientific interest primarily due to the diverse functions that various NRs exhibit in regulating key hallmarks of this cancer. Thus, modulating the expression of NRs with their agonists and antagonists, based on their expression levels, holds an immense prospect in the diagnosis, prognosis, and therapeutical modalities of CRC. In this review, we primarily focus on the role and mechanism of NRs in the pathogenesis of CRC and emphasized the significance of targeting these NRs using a variety of agents, which may represent a novel and effective strategy for the prevention and treatment of this cancer.

Pathophysiological profile of non-ventilated lung injury in healthy female pigs undergoing mechanical ventilation

BackgroundLung regions excluded from mechanical insufflation are traditionally assumed to be spared from ventilation-associated lung injury. However, preliminary data showed activation of potential mechanisms of injury within these non-ventilated regions (e.g., hypoperfusion, inflammation).MethodsIn the present study, we hypothesized that non-ventilated lung injury (NVLI) may develop within 24 h of unilateral mechanical ventilation in previously healthy pigs, and we performed extended pathophysiological measures to profile NVLI. We included two experimental groups undergoing exclusion of the left lung from the ventilation with two different tidal volumes (15 vs 7.5 ml/kg) and a control group on bilateral ventilation. Pathophysiological alteration including lung collapse, changes in lung perfusion, lung stress and inflammation were measured. Lung injury was quantified by histological score.ResultsHistological injury score of the non-ventilated lung is significantly higher than normally expanded lung from control animals. The histological score showed lower intermediate values (but still higher than controls) when the tidal volume distending the ventilated lung was reduced by 50%. Main pathophysiological alterations associated with NVLI were: extensive lung collapse; very low pulmonary perfusion; high inspiratory airways pressure; and higher concentrations of acute-phase inflammatory cytokines IL-6, IL-1β and TNF-α and of Angiopoietin-2 (a marker of endothelial activation) in the broncho-alveolar lavage. Only the last two alterations were mitigated by reducing tidal volume, potentially explaining partial protection.ConclusionsNon-ventilated lung injury develops within 24 h of controlled mechanical ventilation due to multiple pathophysiological alterations, which are only partially prevented by low tidal volume.

Influence of ozonation and UV/H2O2 on the genotoxicity of secondary wastewater effluents

The implementation of novel wastewater treatment technologies, including Advanced Oxidation Processes (AOPs) such as ozonation and ultraviolet radiation (UV) combined with hydrogen peroxide (H2O2), can be a promising strategy for enhancing the quality of these effluents. However, during effluent oxidation AOPs may produce toxic compounds that can compromise the water reuse and the receiving water body. Given this possibility, the aim of this study was to evaluate the genotoxic potential of secondary effluents from two different Wastewater Treatment Plants (WWTP) that were subjected to ozonation or UV/H2O2 for periods of 20 (T1) and 40 (T2) minutes. The genotoxic potential was carried out with the Comet assay (for clastogenic damage) and the Micronucleus assay (for clastogenic and aneugenic damage) in HepG2/C3A cell culture (metabolizing cell line). The results of the comet assay revealed a significant increase in tail intensity in the Municipal WWTP (dry period) effluents treated with UV/H2O2 (T1 and T2). MN occurrence was noted across all treatments in both Pilot and Municipal WWTP (dry period) effluents, whereas nuclear buds (NBs) were noted for all Pilot WWTP treatments and UV/H2O2 treatments of Municipal WWTP (dry period). Moreover, the UV/H2O2 (T1) treatment of Municipal WWTP (dry period) exhibited a noteworthy incidence of multiple alterations per cell (MN + NBs). These findings imply that UV/H2O2 treatment demonstrates higher genotoxic potential compared to ozonation. Furthermore, seasonal variations can have an impact on the genotoxicity of the samples. Results of the study emphasize the importance of conducting genotoxicological tests using human cell cultures, such as HepG2/C3A, to assess the final effluent quality from WWTP before its discharge or reuse. This precaution is essential to safeguard the integrity of the receiving water body and, by extension, the biotic components it contains.

Comprehensive Molecular Genetic Analysis in Glioma Patients by Next Generation Sequencing.

Glioma is caused by multiple genomic alterations. The evolving classification of gliomas emphasizes the significance of molecular testing. Next generation sequencing (NGS) offers the assessment of parallel combinations of multiple genetic alterations and identifying actionable mutations that guide treatment. This study comprehensively analyzed glioma patients using multi-gene NGS panels, providing powerful insights to inform diagnostic classification and targeted therapies. We conducted a targeted panel-based NGS analysis on formalin-fixed and paraffin-embedded nucleic acids extracted from a total of 147 glioma patients. These samples underwent amplicon capture-based library preparation and sequenced using the Oncomine Comprehensive Assay platform. The resulting sequencing data were then analyzed using the bioinformatics tools. A total of 301 mutations, were found in 132 out of 147 tumors (89.8%). These mutations were in 68 different genes. In 62 tumor samples (42.2%), copy number variations (CNVs) with gene amplifications occurred in 25 genes. Moreover, 25 tumor samples (17.0%) showed gene fusions in 6 genes and intragenic deletion in a gene. Our analysis identified actionable targets in several genes, including 11 with mutations, 8 with CNVs, and 3 with gene fusions and intragenic deletion. These findings could impact FDA-approved therapies, NCCN guideline-based treatments, and clinical trials. We analyzed precisely diagnosing the classification of gliomas, detailing the frequency and co-occurrence of genetic alterations and identifying genetic alterations with potential therapeutic targets by NGS-based molecular analysis. The high-throughput NGS analysis is an efficient and powerful tool to comprehensively support molecular testing in neurooncology.

The nearshore aquatic environment of eastern Lake Erie: A thirty-year perspective from a monitoring station

Abstract Dreissenid mussels arrived at the Waverly Shoal located above the inflow of the Niagara River in 1989, initiating marked changes in the water and sediment chemistry, and benthic invertebrate community composition at an Ontario Ministry of the Environment, Conservation and Parks monitoring station. Here we examine change in the nearshore of eastern Lake Erie until 2019, inferred from monitoring at this station. Dreissenid numbers peaked in 1991, exceeding 200,000 individual m-2, and remained above 20,000 individual m-2 until 2004 after which numbers progressively declined. In 1993, the population transitioned from mixed Dreissena polymorpha and D. bugensis, to D. bugensis in subsequent years. The decrease in particle size and increase in organic content of surficial sediment which began the year after mussel arrival has persisted until present time. The low concentrations of trace metals and PAHs at the station increased slightly after the physical alteration in bed sediments and has either not changed or declined. After an initial increase in Secchi depth, water clarity changed little over post invasion years, with prevailing moderate water clarity interspersed with periods of bed resuspension and high turbidity. Calcium concentration in the water column, which fell dramatically after the arrival of dreissenids, has gradually increased in recent years. Chlorophyll a and total phosphorus levels indicating oligo-mesotrophic conditions have not varied systematically over the years, other than a modest decline in chlorophyll a after dreissenid arrival. Benthic invertebrate assemblages have gone through multiple alterations, with shifting abundance of amphipods, oligochaetes, chironomids, gastropods and sphaeriids attributed to invasive species rather than the physical environment. Collectively, the data suggests the nearshore ecosystem has shifted in benthic productivity and trophic transfers mediated by the benthos and invasive species, with water and sediment quality appearing to not vary beyond the range driven by inherently fluctuating physical conditions.

Finding the best predictive model for hypertensive depression in older adults based on machine learning and metabolomics research.

Depression is a common comorbidity in hypertensive older adults, yet depression is more difficult to diagnose correctly. Our goal is to find predictive models of depression in hypertensive patients using a combination of various machine learning (ML) methods and metabolomics. Methods We recruited 379 elderly people aged ≥65 years from the Chinese community. Plasma samples were collected and assayed by gas chromatography/liquid chromatography-mass spectrometry (GC/LC-MS). Orthogonal partial least squares discriminant analysis (OPLS-DA), volcano diagrams and thermograms were used to distinguish metabolites. The attribute discriminators CfsSubsetEval combined with search method BestFirst in WEKA software was used to find the best predicted metabolite combinations, and then 24 classification methods with 10-fold cross-validation were used for prediction. 34 individuals were considered hypertensive combined with depression according to our criteria, and 34 subjects with hypertension only were matched according to age and sex. 19 metabolites by GC-MS and 65 metabolites by LC-MS contributed significantly to the differentiation between the depressed and non-depressed cohorts, with a VIP value of more than 1 and a P value of less than 0.05. There were multiple metabolic pathway alterations. The metabolite combinations screened with WEKA for optimal diagnostic value included 12 metabolites. The machine learning methods with AUC values greater than 0.9 were bayesNet and random forests, and their other evaluation measures are also better. Altered metabolites and metabolic pathways are present in older adults with hypertension combined with depression. Methods using metabolomics and machine learning performed quite well in predicting depression in hypertensive older adults, contributing to further clinical research.