Cellular Metabolic Processes Research Articles

Integrative analyses of the mRNA expression profile reveal the involvement of STC1 in chicken folliculogenesis.

Efficient ovarian follicle development, maturation, and ovulation are critical for egg production performance. Previous research has underscored the importance of messenger RNAs (mRNAs) in regulating development and folliculogenesis in chicken ovarians. However, the molecular mechanism is not fully understood, especially in the late period of the laying cycle. In the present study, ovarian tissues from 80-week-old Hy-Line Brown layers (three with high and three with low rates of egg laying) were collected for transcriptome sequencing. A total of 306 differentially expressed genes (DEGs) were identified in this study, at a false discovery rate (FDR)-corrected P-value < 0.05 and a log2|fold change| (log2|FC|) ≥1.5. Among these DEGs, stanniocalcin 1 (STC1) was mainly related to cellular processes, single-organism processes, biological regulation, metabolic processes, developmental processes, and reproductive processes. Then, we further investigated the regulation of STC1 during chicken follicle development and found that STC1 inhibited the proliferation and stimulated the apoptosis of follicular granulosa cells (GCs), and decreased the expression of progesterone (P4) and estradiol (E2). Collectively, these results suggest that STC1 plays an important role in chicken follicle development by decreasing GC proliferation and steroidogenesis and stimulating GC apoptosis. This study contributes to the understanding of the reproductive biology of laying hens in the late period of the laying cycle and further lays a foundation for the improvement of egg production in poultry breeding.

Transcriptomic study of Suaeda salsa in response to salt and drought stress.

Drought and salinity are the main factors limiting agricultural production. Improving crop resistance to relieve land stress is a major challenge in agriculture. The salt-tolerant species Suaeda salsa is a typical indicator of saline soil. It has a strong drought tolerance and can be used as a model plant to study salt and drought tolerance in plants. In this study, transcriptome sequencing and bioinformatic analysis were performed to study gene expression changes in S. salsa under salt and drought stresses, and to screen out differentially expressed genes. The genetic changes were most abundant in cellular processes, metabolic processes, ion binding, signalling, post-translational modifications, protein conversion, and molecular chaperones, suggesting that the above methods may play a significant role in the response of S. salsa to external salt and drought stress. Enrichment analysis showed that carbohydrate metabolic processes, oxidoreductase activity, transmembrane transport, kinase activity, cellular protein modification processes, and ion-binding pathways are involved in the stress response of S. salsa .

Integration of metabolomics and peptidomics reveals distinct molecular landscape of human diabetic kidney disease.

Diabetic kidney disease (DKD) is the most common microvascular complication of diabetes, and there is an urgent need to discover reliable biomarkers for early diagnosis. Here, we established an effective urine multi-omics platform and integrated metabolomics and peptidomics to investigate the biological changes during DKD pathogenesis. Methods: Totally 766 volunteers (221 HC, 198 T2DM, 175 early DKD, 125 overt DKD, and 47 grey-zone T2DM patients with abnormal urinary mALB concentration) were included in this study. Non-targeted metabolic fingerprints of urine samples were acquired on matrix-free LDI-MS platform by the tip-contact extraction method using fluorinated ethylene propylene coated silicon nanowires chips (FEP@SiNWs), while peptide profiles hidden in urine samples were uncovered by MALDI-TOF MS after capturing urine peptides by porous silicon microparticles. Results: After multivariate analysis, ten metabolites and six peptides were verified to be stepwise regulated in different DKD stages. The altered metabolic pathways and biological processes associated with the DKD pathogenesis were concentrated in amino acid metabolism and cellular protein metabolic process, which were supported by renal transcriptomics. Interestingly, multi-omics significantly increased the diagnostic accuracy for both early DKD diagnosis and DKD status discrimination. Combined with machine learning, a stepwise prediction model was constructed and 89.9% of HC, 75.5% of T2DM, 69.6% of early DKD and 75.7% of overt DKD subjects in the external validation cohort were correctly classified. In addition, 87.5% of grey-zone patients were successfully distinguished from T2DM patients. Conclusion: This multi-omics platform displayed a satisfactory ability to explore molecular information and provided a new insight for establishing effective DKD management.

МОРФОЛОГІЧНА ОЦІНКА ПОШКОДЖЕННЯ ЛЕГЕНЬ У МОЛОДИХ ЩУРІВ, ВИКЛИКАНЕ ЧАСТКОВОЮ ОКЛЮЗІЄЮ ТРАХЕЇ

A decrease in the lumen of the upper respiratory tract (the trachea) in newborn infants is the main cause of impaired development of lungs during postnatal ontogenesis. Aim. To study the histological changes in the lung tissue of young sexually immature animals when modeling partial tracheal stenosis. Materials and methods. Young male Wistar rats aged 25-28 days and weighing 42-54 g were divided into 4 groups: 1) control (intact); 2) animals with tracheal stenosis (7 days); 3) animals with tracheal stenosis (21 days); 4) animals with tracheal stenosis (7 days after surgery followed by observation for 2 weeks). Modeling of stenosis was reproduced by applying a ligature at the level of the upper quarter of the trachea. This caused a narrowing of the tracheal lumen by 25-30%. The histological changes of the lungs in animals of all experimental groups were studied. Results. A significant structural damage to the alveoli and swelling of the alveolar acini were revealed on the 7th day of the development of tracheal stenosis. A partial reduction of pathomorphological changes was observed on day 21. The removal of the ligature from the trachea was accompanied by a gradual restoration of the normal histological structure of the animal lung tissue, while maintaining individual zones of hypoxic damage. At the same time, intra-alveolar edema, wedening of the alveolar lumen, a decrease in the thickness of their walls, structural disorders of the alveolar-capillary membrane, the accumulation of hemorrhagic contents, and destructive changes in the cells of the pulmonary acini were observed in the lung tissue. Long-term hypoxia (21 days) was accompanied by a partial regression of these damages with a simultaneous increase in the number of macrophages and massive death of pulmonary acini cells. In group 4 animals, after removing the ligature, in addition to the trachea damage the preservation of separate dystrophic changes was observed. Conclusions. In tracheal stenosis model and acute hypoxic-respiratory hypoxia, dystrophic changes in the lung tissue were revealed. With an increase in the duration of hypoxic exposure, a gradual adaptation of the cellular elements and metabolic processes to the conditions of impaired oxygenation was observed. Restoration of lung ventilation accelerates the development of compensatory and regenerative processes in lung cells against the background of the preservation of pronounced structural and morphological disorders. Keywords: hypoxia, lungs, tracheal stenosis, histological changes, acini.

Hybrid computational modeling highlights reverse warburg effect in breast cancer-associated fibroblasts

Cancer-associated fibroblasts (CAFs) are amongst the key players of the tumor microenvironment (TME) and are involved in cancer initiation, progression, and resistance to therapy. They exhibit aggressive phenotypes affecting extracellular matrix remodeling, angiogenesis, immune system modulation, tumor growth, and proliferation. CAFs phenotypic changes appear to be associated with metabolic alterations, notably a reverse Warburg effect that may drive fibroblasts transformation. However, its precise molecular mechanisms and regulatory drivers are still under investigation. Deciphering the reverse Warburg effect in breast CAFs may contribute to a better understanding of the interplay between TME and tumor cells, leading to new treatment strategies. In this regard, dynamic modeling approaches able to span multiple biological layers are essential to capture the emergent properties of various biological entities when complex and intertwined pathways are involved. This work presents the first hybrid large-scale computational model for breast CAFs covering major cellular signaling, gene regulation, and metabolic processes. It was generated by combining a cell- and disease-specific asynchronous Boolean model with a generic core metabolic network leveraging both data-driven and manual curation approaches. This model reproduces the experimentally observed reverse Warburg effect in breast CAFs and further identifies Hypoxia-Inducible Factor 1 (HIF-1) as its key molecular driver. Targeting HIF-1 as part of a TME-centered therapeutic strategy may prove beneficial in the treatment of breast cancer by addressing the reverse Warburg effect. Such findings in CAFs, in light of our previously published results in rheumatoid arthritis synovial fibroblasts, point to a common HIF-1-driven metabolic reprogramming of fibroblasts in breast cancer and rheumatoid arthritis.

Exploring Splicing Variants and Novel Genes in Sacred Lotus Based on RNA-seq Data

Sacred lotus (<i>Nelumbo nucifera</i>) is a typical aquatic plant, belonging to basal eudicot plant, which is ideal for genome and genetic evolutionary study. Understanding lotus gene diversity is important for the study of molecular genetics and breeding. In this research, public RNA-seq data and the annotated reference genome were used to identify the genes in lotus. A total of 26,819 consensus and 1,081 novel genes were identified. Meanwhile, a comprehensive analysis of gene alternative splicing events was conducted, and a total of 19,983 “internal” alternative splicing (AS) events and 14,070 “complete” AS events were detected in 5,878 and 5,881 multi-exon expression genes, respectively. Observations made from the AS events show the predominance of intron retention (IR) subtype of AS events representing 33%. IR is followed by alternative acceptor (AltA), alternative donor (AltD) and exon skipping (ES), highlighting the universality of the intron definition model in plants. In addition, functional annotations of the gene with AS indicated its relationship to a number of biological processes such as cellular process and metabolic process, showing the key role for alternative splicing in influencing the growth and development of lotus. The results contribute to a better understanding of the current gene diversity in lotus, and provide an abundant resource for future functional genome analysis in lotus.

Contribution of carbohydrate-related metabolism in Herpesvirus infections

Human herpesviruses are enveloped viruses with double-stranded linear DNA genomes highly prevalent in the human population. These viruses are subdivided into three subfamilies, namely alphaherpesvirinae (herpes simplex virus type 1, HSV-1; herpes simplex virus type 2, HSV-2; and varicella-zoster virus, VZV), betaherpesvirinae (human cytomegalovirus, HCMV; human herpesvirus 6, HHV-6; and human herpesvirus 7, HHV-7) and gammaherpesvirinae (Epstein-Barr virus, EBV; and Kaposi's sarcoma-associated herpesvirus, KSHV). Besides encoding numerous molecular determinants to evade the host antiviral responses, these viruses also modulate cellular metabolic processes to promote their replication. Here, we review and discuss existing studies describing an interplay between carbohydrate metabolism and the replication cycle of herpesviruses, altogether highlighting potentially new molecular targets based on these interactions that could be used to block herpesvirus infections.

Functional Annotation and Analysis of Genetic Variants

The process of functional annotation of human genetic variants is important for some significant biomedical tasks like understanding functional genomics and gene-disease associations. Moreover, genetic variants that lead to pathogenic mutations can have harmful consequences which may lead to certain medical conditions or diseases. This paper investigates and presents two methodologies utilizing the Gene Ontology (GO) for functional annotation of genetic variants (and human gene mutations): (1) using the concept of term enrichment from the biological process taxonomy in the gene ontology, and (2) using the concept of least common subsumer (LCS) within the gene ontology tree. The second methodology induces the most significant and accurate functions for a given set of variants having one common aspect, e.g. specific disease. This method is based on the structure of the directed acyclic graph of GO to induce and identify the most significant LCS’s to be used for functionally annotating the variants under investigation. We applied the methods on a large sets of genetic variants causing mutations. Our method can determine important functions and with significance level of p<0.02, the outcomes and results of the method are biologically significant. We found that certain ontology annotations are more related to mutations through certain genes compared with normal bp functions (biological process terms) in GO; for example, one of these bp functions is {GO:0031325; positive regulation of cellular metabolic process}. The results are basically important and suggest that a mutation can be annotated with functions from the gene ontology, e.g. biological process aspect, just like the genes. This outcome may contribute into a more complete understanding of mutation-gene-disease relationships, mutation pathogenicity, and understanding disease mechanisms..

Integrated Transcriptomics Profiling in Chahua and Digao Chickens' Breast for Assessment Molecular Mechanism of Meat Quality Traits.

Meat quality traits are an important economic trait and remain a major argument, from the producer to the consumer. However, there are a few candidate genes and pathways of chicken meat quality traits that were reported for chicken molecular breeding. The purpose of the present study is to identify the candidate genes and pathways associated with meat quality underlying variations in meat quality. Hence, transcriptome profiles of breast tissue in commercial Digao (DG, 5 male) and Chahua (CH, 5 male) native chicken breeds were analyzed at the age of 100 days. The results found 3525 differentially expressed genes (DEGs) in CH compared to DG with adjusted p-values of ≤0.05 and log2FC ≥ 0.1 FDR ≤ 0.05. Functional analysis of GO showed that the DEGs are mainly involved in the two types of processes of meat quality, such as positive regulation of the metabolic process, extracellular structure organization, collagen trimer, cellular amino acid metabolic process, cellular amino acid catabolic process, and heme binding. Functional analysis of KEGG showed that the DEGs are mainly involved in the two types of processes of meat quality, such as oxidative phosphorylation, carbon metabolism, valine, leucine, and isoleucine degradation, and fatty acid degradation. Many of the DEGs are well known to be related to meat quality, such as COL28A1, COL1A2, MB, HBAD, HBA1, ACACA, ACADL, ACSL1, ATP8A1, CAV1, FADS2, FASN, DCN, CHCHD10, AGXT2, ALDH3A2, and MORN4. Therefore, the current study detected multiple pathways and genes that could be involved in the control of the meat quality traits of chickens. These findings should be used as an essential resource to improve the accuracy of selection for meat traits in chickens using marker-assisted selection based on differentially expressed genes.

An isolated single-particle-based SECM tip interface for single-cell NO sensing

As a key factor in cellular metabolic processes, nitric oxide (NO) is a challenging target for in situ real-time monitoring due to its transient property and short diffusion distance. Scanning electrochemical microscopy (SECM) has unique advantages in single-cell analysis, which can obtain the electrochemical current by scanning the cell surface with a tip microelectrode. In particular, it can further improved the electrochemical response by enhancing the interface properties of its tip. Here, an interface design strategy based on platinum single nanoparticle (Pt NP) was developed, and fluorinated self-assembled monolayers (SAMs) were used to further improve its performance. This modified tip was used as an SECM probe for NO concentration monitoring and morphological imaging of single MCF-7 cells. It has the high sensitivity (164.7 μA/μM·cm2) and good selectivity for NO detection, which benefits from the efficient catalytic properties of Pt NPs and high mass transport and hydrophobic antifouling properties of the interface. Notably, it shows a superior performance in detecting the fluctuation of NO released by a single MCF-7-cell under the stimulation of cadmium (Cd), which demonstrates a promising method for using a single-particle-based tip in SECM applications.

Characterization of bovine uterine fluid extracellular vesicles proteomic profiles at follicular and luteal phases of the oestrous cycle

Extracellular vesicles (EV) have been identified in uterine fluid (UF), however the bovine UF-EV profile during different phases of the oestrous cycle has not yet been established. Therefore, we compared the UF-EV, and their protein profile at follicular and luteal phases of the oestrous cycle. UF samples were collected from healthy uteri of six live and six slaughtered cows at follicular or luteal phases. Isolation of EV was performed using tangential flow filtration followed by size exclusion chromatography. EV were characterized by nanoparticle tracking analysis (NTA), fluorescence NTA, zeta potential, and transmission electron microscopy. Mass-spectrometry was used to evaluate EV protein profile from live cows. Particle concentrations (mean ± SD) were higher (P < 0.05) at follicular than at luteal phase in both live (1.01 × 108 ± 1.66 × 107 vs 7.56 × 107 ± 1.80 × 107, respectively) and slaughtered cows (1.17 × 108 ± 2.34 × 107 vs 9.12 × 107 ± 9.77 × 106, respectively). The proportion of fluorescently labelled EV varied significantly between follicular and luteal phases across live (28.9 ± 1.9% vs 19.3 ± 2.8%, respectively) and slaughtered cows (26.5 ± 6.3% vs 27.3 ± 2 .7%, respectively). In total, 41 EV proteins were differentially expressed between the phases. Some of the proteins were involved in reproductive processes, cell adhesion and proliferation, and cellular metabolic processes. The results indicated differences in bovine UF-EV concentration and protein profile at follicular and luteal phases, which would suggest that EV modulate uterine microenvironment across the oestrous cycle. Further research is needed to understand the effect of EV changes throughout the oestrous cycle.

Late-Stage Functionalization through Click Chemistry Provides GLUT5-Targeting Glycoconjugate as a Potential PET Imaging Probe.

The targeting of facilitative sugar transporters (GLUTs) has been utilized in the development of tools for diagnostics and therapy. The interest in this area is promoted by the phenomenon of alterations in cellular metabolic processes that are linked to multitudes of metabolic disorders and diseases. However, nonspecific targeting (e.g., glucose-transporting GLUTs) leads to a lack of disease detection efficiency. Among GLUTs, GLUT5 stands out as a prominent target for developing specific molecular tools due to its association with metabolic diseases, including cancer. This work reports a non-radiolabeled fluoride (19F) coumarin-based glycoconjugate of 2,5-anhydro-D-mannitol as a potential PET imaging probe that targets the GLUT5 transporter. Inherent fluorescent properties of the coumarin fluorophore allowed us to establish the probe's uptake efficiency and GLUT5-specificity in a GLUT5-positive breast cell line using fluorescence detection techniques. The click chemistry approach employed in the design of the probe enables late-stage functionalization, an essential requirement for obtaining the radiolabeled analog of the probe for future in vivo cancer imaging applications. The high affinity of the probe to GLUT5 allowed for the effective uptake in nutrition-rich media.

Doxorubicin induces cardiomyocyte death owing to the accumulation of dysfunctional mitochondria by inhibiting the autophagy fusion process

Doxorubicin (Dox), an anthracycline antibiotic, is an anticancer drug that inhibits DNA replication and cellular metabolic processes in cancer cells with high proliferative potential. However, Dox causes severe side effects, including myocardial damage and heart failure, but the molecular mechanism underlying Dox-induced myocardial injury remains uncertain. In the present study, we evaluated the effects of Dox on the mitochondrial quality control system and regulation of mitochondrial respiration and autophagy in an in vitro rat myoblast H9c2 cell culture model using western blotting, immunohistochemistry, the Seahorse XF24 system, and flow cytometry. Our results showed that Dox did not impair the initiation of autophagic flux or the functions of lysosomes; however, Dox affected the mitochondrial quality control system, leading to a fission-dominant morphology and impaired regulation of mitochondrial respiration, thereby increasing oxidative stress and inhibited progression of autophagy, particularly the fusion of autophagosomes with lysosomes. This inhibition caused a significant decrease in the formation of autolysosomes and was responsible for the accumulation of dysfunctional mitochondria and subsequent increase in oxidative stress, eventually leading to increased myocardial cell death.

Small RNA profiling reveals the involvement of microRNA-mediated gene regulation in response to symbiosis in raspberry.

Dark septate endophytes (DSEs) can form reciprocal symbioses with most terrestrial plants, providing them with mineral nutrients in exchange for photosynthetic products. Although the mechanism of plant-DSEs is well understood at the transcriptional level, little is known about their post-transcriptional regulation, and microRNAs (miRNAs) for the symbiotic process of DSE infestation of raspberry have not been identified. In this study, we comprehensively identified the miRNAs of DSE-infested raspberry symbiosis using Illumina sequencing. A total of 361 known miRNAs and 95 novel miRNAs were identified in the roots. Similar to other dicotyledons, most of the identified raspberry miRNAs were 21 nt in length. Thirty-seven miRNAs were differentially expressed during colonization after inoculation with Phialocephala fortinii F5, suggesting a possible role for these miRNAs in the symbiotic process. Notably, two miRNAs (miR171h and miR396) previously reported to be responsive to symbiotic processes in alfalfa also had altered expression during raspberry symbiosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggests that miRNAs are mainly involved in regulatory mechanisms, such as biological processes, cellular metabolic processes, biosynthesis of secondary metabolites, plant-pathogen interactions, and phytohormone signaling pathways. This study revealed the potential conservation of miRNA-mediated post-transcriptional regulation in symbiotic processes among plants and provides some novel miRNAs for understanding the regulatory mechanisms of DSE-raspberry symbiosis.

Transcriptome analysis of differentially expressed circular RNAs in the testis and ovary of golden pompano (Trachinotus blochii)

The artificial breeding of golden pompano (Trachinotus blochii) has expanded greatly in recent years, and after long-term breeding efforts, clear sexual dimorphisms have been observed in T. blochii growth traits, with females growing faster. As sponges of microRNA (miRNAs), circular RNAs (CircRNAs) can alleviate miRNA inhibition of target mRNA. However, few studies have examined sex-related CircRNAs and none of those have looked at T. blochii. To further understand the role of CircRNAs in sex differentiation and sexual size dimorphism in T. blochii, six CircRNA libraries were constructed from the testes and ovaries of T. blochii. A total of 1522 CircRNAs were found distributed over all 24 chromosomes of T. blochii. 135 differentially expressed CircRNAs (DECs) were identified by screening, These DECs were then subjected to GO enrichment, which found 47 enriched pathways. A number of CircRNAs were enriched in cellular processes and metabolic processes. According to the KEGG pathway analysis, a series of sex differentiation pathways were enriched, including the GnRH, calcium, and MAPK signaling pathways. Furthermore, we selected two CircRNAs from the DECs named circ-cacna1b and circ-octc. We found that the cacna1b gene is regulated by 7 miRNAs, 3 of which were regulated by circ-cacna1b, i.e., mmu-miR-138-5p, fru-miR-138, and pma-miR-138b. In addition, the miRNA named pma-miR-138b can regulate sex-related genes, such as sox9 and dmrt1, among others. The co-expression network of CircRNA-miRNA-mRNA showed circ-cacna1b may play a crucial role in T. blochii sex differentiation by regulating pma-miR-138b to affect the expression of sex differentiation genes. The circ-octc may be one of the largest contributors to sexual size dimorphism during growth through its effect on lipid metabolism. These findings could broaden our understanding of CircRNAs and provide new insight into their function in sex differentiation and growth.

Innate Immune Memory in Monocytes and Macrophages: The Potential Therapeutic Strategies for Atherosclerosis.

Atherosclerosis is a complex metabolic disease characterized by the dysfunction of lipid metabolism and chronic inflammation in the intimal space of the vessel. As the most abundant innate immune cells, monocyte-derived macrophages play a pivotal role in the inflammatory response, cholesterol metabolism, and foam cell formation. In recent decades, it has been demonstrated that monocytes and macrophages can establish innate immune memory (also termed trained immunity) via endogenous and exogenous atherogenic stimuli and exhibit a long-lasting proinflammatory phenotype. The important cellular metabolism processes, including glycolysis, oxidative phosphorylation (OXPHOS), the tricarboxylic acid (TCA) cycle, fatty acid synthesis, and cholesterol synthesis, are reprogrammed. Trained monocytes/macrophages with innate immune memory can be persistently hyperactivated and can undergo extensive epigenetic rewiring, which contributes to the pathophysiological development of atherosclerosis via increased proinflammatory cytokine production and lipid accumulation. Here, we provide an overview of the regulation of cellular metabolic processes and epigenetic modifications of innate immune memory in monocytes/macrophages as well as the potential endogenous and exogenous stimulations involved in the progression of atherosclerosis that have been reported recently. These elucidations might be beneficial for further understanding innate immune memory and the development of therapeutic strategies for inflammatory diseases and atherosclerosis.

Transcriptome analysis of Sf9 insect cells during production of recombinant Adeno-associated virus.

The insect cell-baculovirus expression vector system (IC-BEVS) has emerged as an alternative time- and cost-efficient production platform for recombinant Adeno-associated virus (AAV) for gene therapy. However, a better understanding of the underlying biological mechanisms of IC-BEVS is fundamental to further optimize this expression system toward increased product titer and quality. Here, gene expression of Sf9 insect cells producing recombinant AAV through a dual baculovirus expression system, with low multiplicity of infection (MOI), was profiled by RNA-seq. An 8-fold increase in reads mapping to either baculovirus or AAV transgene sequences was observed between 24 and 48h post-infection (hpi), confirming a take-over of the host cell transcriptome by the baculovirus. A total of 336 and 4784 genes were identified as differentially expressed at 24 hpi (vs non-infected cells) and at 48 hpi (vs. infected cells at 24 hpi), respectively, including dronc, birc5/iap5, and prp1. Functional annotation found biological processes such as cell cycle, cell growth, protein folding, and cellular amino acid metabolic processes enriched along infection. This work uncovers transcriptional changes in Sf9 in response to baculovirus infection, which provide new insights into cell and/or metabolic engineering targets that can be leveraged for rational bioprocess engineering of IC-BEVS for AAV production.

Integration of metabolomics and proteomics reveals the underlying hepatotoxic mechanism of perfluorooctane sulfonate (PFOS) and 6:2 chlorinated polyfluoroalkyl ether sulfonic acid (6:2 Cl-PFESA) in primary human hepatocytes

Perfluorooctane sulfonate (PFOS) and its alternative 6:2 chlorinated polyfluorinated ether sulfonate (6:2 Cl-PFESA) are ubiquitous in various environmental and human samples. They have been reported to have hepatotoxicity effects, but the potential mechanisms remain unclear. Herein, we integrated metabolomics and proteomics analysis to investigate the altered profiles in metabolite and protein levels in primary human hepatocytes (PHH) exposed to 6:2 Cl-PFESA and PFOS at human exposure relevant concentrations. Our results showed that 6:2 Cl-PFESA exhibited higher perturbation effects on cell viability, metabolome and proteome than PFOS. Integration of metabolomics and proteomics revealed that the alteration of glycerophospholipid metabolism was the critical pathway of 6:2 Cl-PFESA and PFOS-induced lipid metabolism disorder in primary human hepatocytes. Interestingly, 6:2 Cl-PFESA-induced cellular metabolic process disorder was associated with the cellular membrane-bounded signaling pathway, while PFOS was associated with the intracellular transport process. Moreover, the disruption effects of 6:2 Cl-PFESA were also involved in inositol phosphate metabolism and phosphatidylinositol signaling system. Overall, this study provided comprehensive insights into the hepatic lipid toxicity mechanisms of 6:2 Cl-PFESA and PFOS in human primary hepatocytes.

Protein-to-protein interaction of genes responsible for the economic trait of Madura Cattle: an in silico analysis

Our previous study found five genes consist of Insulin-like growth factor-1 (IGF-1), Growth hormone (GH1), Growth hormone receptor (GHR), Myostatin (MSTN), and Leptin (LEP) are responsible for the economic traits of Madura Cattle. This paper aimed to identify the protein-to-protein interaction of genes responsible for the economic traits of Madura Cattle. In silico study was done using STRING v.11.5 with Bos taurus IGF1, GH1, GHR, MSTN, and LEP as input analysis. Results show 24 biological processes, 3 molecular functions, and 6 KEGG pathways as potential protein interactions between genes. All genes are involved in six biological processes i.e. response to the hormone, response to oxygen-containing compound, cell surface receptor signalling pathway, regulation of signal transduction, positive regulation of the cellular metabolic process, and positive regulation of the macromolecule metabolic process. Five genes were predicted as functional partner genes, namely Leptin receptor (LEPR), Tyrosine-protein kinase receptor (INSR), Activin receptor type-2b precursor (ACVR2B), Insulin-like growth factor 1 receptor (IGF1R), and Insulin-like growth factor-binding protein 3 (IGFBP3). Based on the results, we can demonstrate the protein-to-protein interaction of IGF-1, GH, GHR, MSTN, and LEP genes which are potentially related to each other. Further experimental study is required to validate the interaction.

Metabolic reprogramming by miRNAs in the tumor microenvironment: Focused on immunometabolism.

MicroRNAs (miRNAs) are emerging as a significant modulatorof immunity, and their abnormal expression/activity has been linked to numerous human disorders, such as cancer. It is now known that miRNAs potentially modulatethe production of several metabolic processes in tumor-associated immune cells and indirectly via different metabolic enzymes that affect tumor-associated signaling cascades. For instance, Let-7 has been identified as a crucial modulator for the long-lasting survival of CD8+ T cells (naive phenotypes) in cancer by altering their metabolism. Furthermore, in T cells, it has been found that enhancer of zeste homolog 2 (EZH2) expression is controlled via glycolytic metabolism through miRNAs in patients with ovarian cancer. On the other hand, immunometabolism has shown us that cellular metabolic reactions and processes not only generate ATP and biosynthetic intermediates but also modulate the immune system and inflammatory processes. Based on recent studies, new and encouraging approaches to cancer involving the modification of miRNAs in immune cell metabolism are currently being investigated, providing insight into promising targets for therapeutic strategies based on the pivotal role of immunometabolism in cancer. Throughout this overview, we explore and describe the significance of miRNAs in cancer and immune cell metabolism.