Identification and Quantification of Locus-Specific 8-Oxo-7,8-dihydroguanine in DNA at Ultrahigh Resolution Based on G-Triplex-Assisted Rolling Circle Amplification.

Damage of reactive oxygen species to various molecules such as DNA has been related to many chronic and degenerative human diseases, aging, and even cancer. 8-Oxo-7,8-dihydroguanine (OG), the most significant oxidation product of guanine (G), has become a biomarker of oxidative stress as well as gene regulation. The positive effect of OG in activating transcription and the negative effect in inducing mutation are a double-edged sword; thus, site-specific quantification is helpful to quickly reveal the functional mechanism of OG at hotspots. Due to the possible biological effects of OG at extremely low abundance in the genome, the monitoring of OG is vulnerable to signal interference from a large amount of G. Herein, based on rolling circle amplification-induced G-triplex formation and Thioflavin T fluorescence enhancement, an ultrasensitive strategy for locus-specific OG quantification was constructed. Owing to the difference in the hydrogen-bonding pattern between OG and G, the nonspecific background signal of G sites was completely suppressed through enzymatic ligation of DNA probes and the triggered specificity of rolling circle amplification. After the signal amplification strategy was optimized, the high detection sensitivity of OG sites with an ultralow detection limit of 0.18 amol was achieved. Under the interference of G sites, as little as 0.05% of OG-containing DNA was first distinguished. This method was further used for qualitative and quantitative monitoring of locus-specific OG in genomic DNA under oxidative stress and identification of key OG sites with biological function.

New G-Triplex DNA Dramatically Activates the Fluorescence of Thioflavin T and Acts as a Turn-On Fluorescent Sensor for Uracil-DNA Glycosylase Activity Detection.

G-triplexes are G-rich oligonucleotides composed of three G-tracts and have absorbed much attention due to their potential biological functions and attractive performance in biosensing. Through the optimization of loop compositions, DNA lengths, and 5'-flanking bases of G-rich sequences, a new stable G-triplex sequence with 14 bases (G3-F15) was discovered to dramatically activate the fluorescence of Thioflavin T (ThT), a water-soluble fluorogenic dye. The fluorescence enhancement of ThT after binding with G3-F15 reached 3200 times, which was the strongest one by far among all of the G-rich sequences. The conformations of G3-F15 and G3-F15/ThT were studied by circular dichroism. The thermal stability measurements indicated that G3-F15 was a highly stable G-triplex structure. The conformations of G3-F15 and G3-F15/ThT in the presence of different metal cations were studied thoroughly by fluorescent spectroscopy, circular dichroism, and nuclear magnetic resonance. Furthermore, using the G3-F15/ThT complex as a fluorescent probe, a robust and simple turn-on fluorescent sensor for uracil-DNA glycosylase activity was developed. This study proposes a new systematic strategy to explore new functional G-rich sequences and their ligands, which will promote their applications in diagnosis, therapy, and biosensing.

Qualitative and Quantitative Analytical Techniques of Nucleic Acid Modification Based on Mass Spectrometry for Biomarker Discovery.

Nucleic acid modifications play important roles in biological activities and disease occurrences, and have been considered as cancer biomarkers. Due to the relatively low amount of nucleic acid modifications in biological samples, it is necessary to develop sensitive and reliable qualitative and quantitative methods to reveal the content of any modifications. In this review, the key processes affecting the qualitative and quantitative analyses are discussed, such as sample digestion, nucleoside extraction, chemical labeling, chromatographic separation, mass spectrometry detection, and data processing. The improvement of the detection sensitivity and specificity of analytical methods based on mass spectrometry makes it possible to study low-abundance modifications and their biological functions. Some typical nucleic acid modifications and their potential as biomarkers are displayed, and efforts to improve diagnostic accuracy are discussed. Future perspectives are raised for this research field.

Bioinspired PLCL/Elastin Nanofibrous Vascular Tissue Engineering Scaffold Enhances Endothelial Cells and Inhibits Smooth Muscle Cells.

In vascular tissue engineering, a scaffold that can enhance the proliferation of endothelial cells (ECs) while inhibiting the synthetic differentiation of smooth muscle cells (SMCs) is crucial to prevent thrombus and restenosis after graft implantation. However, it is always challenging to incorporate both properties simultaneously in a vascular tissue engineering scaffold. In this study, a novel composite material was developed by combining a synthetic biopolymer of poly(l-lactide-co-caprolactone) (PLCL) and a natural biopolymer of elastin through electrospinning. Cross-linking of the PLCL/elastin composite fibers using EDC/NHS was performed to stabilize the elastin component. The incorporation of elastin into PLCL was found to enhance the hydrophilicity and biocompatibility of the resulting PLCL/elastin composite fibers, as well as the mechanical properties. Additionally, as a natural component of the extracellular matrix, elastin displayed antithrombotic properties reducing platelet adhesion and improving blood compatibility. Results of cell culture experiments with human umbilical vein ECs (HUVECs) and human umbilical artery SMCs (HUASMCs) showed that the composite fiber membrane had high cell viability, promoting the proliferation and adhesion of HUVECs and inducing a contractile phenotype in HUASMCs. These results indicate that the PLCL/elastin composite material has great potential for use in vascular graft applications due to its favorable properties and rapid endothelialization and contractile phenotypes of cells.

Difunctional Magnetic Nanoparticles Employed in Immunochromatographic Assay for Rapid and Quantitative Detection of Carcinoembryonic Antigen.

Immunochromatographic assay (ICA) plays an important role in in vitro diagnostics because of its simpleness, convenience, fastness, sensitivity, accuracy, and low cost. The employment of magnetic nanoparticles (MNPs), possessing both excellent optical properties and magnetic separation functions, can effectively promote the performances of ICA. In this study, an ICA based on MNPs (MNP-ICA) has been successfully developed for the sensitive detection of carcinoembryonic antigen (CEA). The magnetic probes were prepared by covalently conjugating carboxylated MNPs with the specific monoclonal antibody against CEA, which were not only employed to enrich and extract CEA from serum samples under an external magnetic field but also used as a signal output with its inherent optical property. Under the optimal parameters, the limit of detection (LOD) for qualitative detection with naked eyes was 1.0 ng/mL, and the quantitative detection could be realized with the help of a portable optical reader, indicating that the ratio of optical signal intensity correlated well with CEA concentration ranging from 1.0 ng/mL to 64.0 ng/mL (R2 = 0.9997). Additionally, method comparison demonstrated that the magnetic probes were beneficial for sensitivity improvement due to the matrix effect reduction after magnetic separation, and the MNP-ICA is eight times higher sensitive than ICA based on colloidal gold nanoparticles. The developed MNP-ICA will provide sensitive, convenient, and efficient technical support for biomarkers rapid screening in cancer diagnosis and prognosis.

DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning.

Synergistic drug combinations have demonstrated effective therapeutic effects in cancer treatment. Deep learning methods accelerate identification of novel drug combinations by reducing the search space. However, potential adverse drug-drug interactions (DDIs), which may increase the risks for combination therapy, cannot be detected by existing computational synergy prediction methods. We propose DEML, an ensemble-based multi-task neural network, for the simultaneous optimization of five synergy regression prediction tasks, synergy classification, and DDI classification tasks. DEML uses chemical and transcriptomics information as inputs. DEML adapts the novel hybrid ensemble layer structure to construct higher order representation using different perspectives. The task-specific fusion layer of DEML joins representations for each task using a gating mechanism. For the Loewe synergy prediction task, DEML overperforms the state-of-the-art synergy prediction method with an improvement of 7.8% and 13.2% for the root mean squared error and the R2 correlation coefficient. Owing to soft parameter sharing and ensemble learning, DEML alleviates the multi-task learning 'seesaw effect' problem and shows no performance loss on other tasks. DEML has a superior ability to predict drug pairs with high confidence and less adverse DDIs. DEML provides a promising way to guideline novel combination therapy strategies for cancer treatment.

Effects of Radiation-Induced Skin Injury on Hyaluronan Degradation and Its Underlying Mechanisms.

Radiation-induced skin injury (RISI) is a frequent and severe complication with a complex pathogenesis that often occurs during radiation therapy, nuclear incidents, and nuclear war, for which there is no effective treatment. Hyaluronan (HA) plays an overwhelming role in the skin, and it has been shown that UVB irradiation induces increased HA expression. Nevertheless, to the best of our knowledge, there has been no study regarding the biological correlation between RISI and HA degradation and its underlying mechanisms. Therefore, in our study, we investigated low-molecular-weight HA content using an enzyme-linked immunosorbent assay and changes in the expression of HA-related metabolic enzymes using real-time quantitative polymerase chain reaction and a Western blotting assay. The oxidative stress level of the RISI model was assessed using sodium dismutase, malondialdehyde, and reactive oxygen species assays. We demonstrated that low-molecular-weight HA content was significantly upregulated in skin tissues during the late phase of irradiation exposure in the RISI model and that HA-related metabolic enzymes, oxidative stress levels, the MEK5/ERK5 pathway, and inflammatory factors were consistent with changes in low-molecular-weight HA content. These findings prove that HA degradation is biologically relevant to RISI development and that the HA degradation mechanisms are related to HA-related metabolic enzymes, oxidative stress, and inflammatory factors. The MEK5/ERK5 pathway represents a potential mechanism of HA degradation. In conclusion, we aimed to investigate changes in HA content and preliminarily investigate the HA degradation mechanism in a RISI model under γ-ray irradiation, to consider HA as a new target for RISI and provide ideas for novel drug development.

Phytochemical Constituents from the Seeds of Capsella bursa-pastoris and Their Antioxidant Activities.

Phytochemical investigation of 70% EtOH extract of the seeds of Capsella bursa-pastoris led to the isolation of a new cyclobutane organic acid (1), and fourteen known compounds, including two organosulfur compounds (2, 3), two quinonoids (4, 5), five flavonoids (6-10), three sterols (11-13) and two other types (14, 15). The structures of the compounds were elucidated by extensive spectroscopic analyses as well as comparison of their spectroscopic data with those reported in the literature. The antioxidant capacities of all compounds and extractive fractions were evaluated by the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical-scavenging test and ferric reducing antioxidant power (FRAP) assay. Then the antioxidative substances were evaluated for their neuroprotective effects against H2O2-induced HT22 cell injury. The results indicated the strong scavenging ability to free radical of the extractive fractions and compounds 1-3, 8-10 and 13, and the ferric reducing antioxidant power of the extractive fractions and compounds 1-3, 8 and 10, which were close to or higher than that of the positive control trolox. The EtOAc fraction, n-BuOH fraction, and compounds 1, 3 and 8 can protect HT-22 cells from oxidative damage.

Ultrasensitive and Single-Base Resolution Quantification of 8-Oxo-7,8-dihydroguanine in DNA by Extension and Ligation-Based qPCR.

Oxidative DNA damage is tightly linked to the development of multiple age-related diseases. The prominent oxidation product is 8-oxo-7,8-dihydroguanine (OG), which has been proved to be an important epigenetic-like biomarker. Quantification of the locus-specific OG frequency includes quantitative and locating information, which is of great significance for exploring the functional roles of OG in disease induction and gene regulation. Herein, an ultrasensitive quantification of OG at single-base resolution was established using real-time fluorescence quantitative polymerase chain reaction as an amplification tool. Based on the coding property of Bsu DNA polymerase that incorporates adenine on the opposite site of OG and the selectivity of the ligase for perfectly matched sequences, the difference between OG and G on the sequence could be enlarged. Well-performed Taq DNA ligase was selected out, and as low as 46.2 zmol of target DNA with an OG site and an OG frequency of 5% could be detected. G contents on a specific site were also detectable based on the similar principle, thus the OG frequency of this locus could be accurately determined by a standard addition method. This strategy was successfully applied to the evaluation of locus-specific OG in both model DNA and genomic DNA from human cervical carcinoma cell lines under multiple oxidative stress, showing the potential for functional research and dynamic monitoring of critical OG sites.

Hierarchical Shish-Kebab Structures Functionalizing Nanofibers for Controlled Drug Release and Improved Antithrombogenicity.

The functionalization of the fibrous scaffolds including drug loading and release is of significance in tissue engineering and regenerative medicine. Our previous results have shown that the shish-kebab structure-modified fibrous scaffold shows a completely different microenvironment that mimics the topography of the collagen fibers, which interestingly facilitates the cell adhesion and migration. However, the functionalization of the unique structure needs to be further investigated. In this study, we modified the heparin-loaded fiber with a shish-kebab structure and tuned the kebab structure as the barrier for the sustained release of heparin. The introduction of the kebab structure increases the diffusion energy barrier by extending the diffusion distance. Moreover, the discontinued surface topography of the shish-kebab structure altered the surface chemistry from hydrophobic for the original poly(ε-caprolactone) (PCL) nanofibers to hydrophilic for the PCL nanofibers with the shish-kebab structure, which might have inhibited the activation of fibrinogen and thus improved the anticoagulant ability. This synergistic effect of heparin and the kebab structure significantly promotes the endothelial cell affinity and antithrombogenicity. This method might be a viable and versatile drug delivery strategy in vascular tissue engineering.

Macrophage-derived, LRG1-enriched extracellular vesicles exacerbate aristolochic acid nephropathy in a TGFßR1-dependent manner.

Aristolochic acid nephropathy (AAN) is a progressive kidney disease caused by some herbal medicines, but treatment remains ineffective. We previously found that leucine-rich α-2-glycoprotein 1 (LRG1), which regulates cellular processes, plays an important role in a kidney injury model. However, the underlying mechanism by which LRG1 regulates AAN is still unknown. In this study, we established an AAN model in vivo, a coculture system of macrophages and TECs, and a macrophage/TEC conditioned media culture model in vitro. We found that macrophage infiltration promoted injury, oxidative stress, and apoptosis in TECs. Furthermore, the role of macrophages in AAN was dependent on macrophage-derived extracellular vesicles (EVs). Importantly, we found that macrophage-derived, LRG1-enriched EVs induced TEC injury and apoptosis via a TGFßR1-dependent process. This study may help design a better therapeutic strategy to treat AAN patients.

[Hyperuricemia among Mongolian adults and the related factors in Inner Mongolia Autonomous Region from 2018 to 2020].

OBJECTIVE: To understand the epidemiological characteristics of hyperuricemia(HUA) in Mongolian adults in Inner Mongolia Autonomous Region, and to explore the related factors. METHODS: Using multi-stage stratified and population proportional cluster random sampling investigated 2301 Mongolian population aged 18 and older living in Inner Mongolia Autonomous Region from August 2018 to August 2020. The participant general demographic data, personal life and behavior history and diet were collected, and participant physical examination and blood biochemical tests were performed. The prevalence of HUA was counted, and the risk factors were analyzed by Logistic regression analysis and decision tree model. RESULTS: The prevalence rate of HUA in Mongolian adult population was 19.74%, and the standardized prevalence rate was 21.07%. Male(26.3%) was higher than female(15.6%), and there were significant differences in the prevalence rate among populations with different height, weight, occupation, education level and regions(P<0.05), Logistic regression analysis showed that the occurrence of HUA and overweight and obesity(OR=2.002, 95%CI 1.519-2.638), and dyslipidemia(OR=1.620, 95%CI 1.271-2.064), abnormal blood glucose(OR=1.563, 95%CI 1.195-2.046), pork(OR=1.231, 95%CI 1.139-1.330), mutton(OR=1.287, 95%CI 1.179-1.404), poultry meat(OR=1.111, 95%CI 1.024-1.206), alcohol drinking alcohol(OR=1.145, 95%CI 1.008-1.302) showed a positive correlation. It was negatively associated with women(OR=0.641, 95%CI 0.498-0.827), manual labor(OR=0.629, 95%CI 0.477-0.829), beans and their products(OR=0.889, 95%CI 0.811-0.976), milk and milk intake(OR=0.854, 95%CI 0.785-0.921). The result of decision tree model showed that pork intake, overweight and obesity, dyslipidemia, mutton intake and gender were the variables affecting HUA. CONCLUSION: The prevalence of HUA in the Mongolian population was relatively high, and the gender, occupation, body mass index, blood lipid, blood glucose and some dietary factors were all associated with HUA.

Design and synthesis of novel tacrine-dipicolylamine dimers that are multiple-target-directed ligands with potential to treat Alzheimer's disease.

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that has multiple causes. Therefore, multiple-target-directed ligands (MTDLs), which act on multiple targets, have been developed as a novel strategy for AD therapy. In this study, novel drug candidates were designed and synthesized by the covalent linkings of tacrine, a previously used anti-AD acetylcholinesterase (AChE) inhibitor, and dipicolylamine, an ß-amyloid (Aß) aggregation inhibitor. Most tacrine-dipicolylamine dimers potently inhibited AChE and Aß1-42 aggregation in vitro, and 13a exhibited nanomolar level inhibition. Molecular docking analysis suggested that 13a could interact with the catalytic active sites and the peripheral anion site of AChE, and bind to Aß1-42 pentamers. Moreover, 13a effectively attenuated Aß1-42 oligomers-induced cognitive dysfunction in mice by activating the cAMP-response element binding protein/brain-derived neurotrophic factor signaling pathway, decreasing tau phosphorylation, preventing synaptic toxicity, and inhibiting neuroinflammation. The safety profile of 13a in mice was demonstrated by acute toxicity experiments. All these results suggested that novel tacrine-dipicolylamine dimers, especially 13a, have multi-target neuroprotective and cognitive-enhancing potentials, and therefore might be developed as MTDLs to combat AD.

Ultrasensitive Multiplex Detection of Single Nucleotide Polymorphisms Based on Short-Chain Hybridization Combined with Online Preconcentration of Capillary Electrophoresis.

Reliable multiple single nucleotide polymorphisms (SNPs) detection at low abundance is of great significance for disease diagnosis and biomedical research. Herein, we have developed a novel and simple method for multiple SNPs detection combining solid-phase capture by specific hybridization with online preconcentration of capillary gel electrophoresis-laser-induced fluorescence (CGE-LIF). The method presents an excellent performance due to its favorable traits: the solid-phase short-chain hybridization ensures the high specificity of SNP detection; the effective separation ability of CGE can easily achieve multiplex detection; the simple online preconcentration significantly improves the detection sensitivity of fluorescent probe by nearly 100-fold. For a single SNP target, the assay achieves a limit of detection as low as 0.01-0.02% for three different NRAS mutations in the same codon. For multiple SNP targets, as low as 0.05% abundance can be easily realized. Our method is simple, efficient, ultrasensitive, and universal for multiple SNPs detection without complex enzymatic or chemical ligation reaction, which shows great potential in early clinical diagnosis.

Reactive oxygen species modulator 1, a novel protein, combined with carcinoembryonic antigen in differentiating malignant from benign pleural effusion.

The differential diagnosis of malignant pleural effusion and benign pleural effusion remains a clinical problem. Reactive oxygen species modulator 1 is a novel protein overexpressed in various human tumors. The objective of this study was to evaluate the diagnostic value of joint detection of reactive oxygen species modulator 1 and carcinoembryonic antigen in the differential diagnosis of malignant pleural effusion and benign pleural effusion. One hundred two consecutive patients with pleural effusion (including 52 malignant pleural effusion and 50 benign pleural effusion) were registered in this study. Levels of reactive oxygen species modulator 1 and carcinoembryonic antigen were measured by enzyme-linked immunosorbent assay and radioimmunoassay, respectively. Results showed that the concentrations of reactive oxygen species modulator 1 both in pleural fluid and serum of patients with malignant pleural effusion were significantly higher than those of benign pleural effusion (both p < 0.05). The diagnostic sensitivity and specificity of pleural fluid reactive oxygen species modulator 1 were 61.54% and 82.00%, respectively, with the optimized cutoff value of 589.70 pg/mL. However, the diagnostic sensitivity and specificity of serum reactive oxygen species modulator 1 were only 41.38% and 86.21%, respectively, with the cutoff value of 27.22 ng/mL, indicating that serum reactive oxygen species modulator 1 may not be a good option in the differential diagnosis of malignant pleural effusion and benign pleural effusion. The sensitivity and specificity of pleural fluid carcinoembryonic antigen were 69.23% and 88.00%, respectively, at the cutoff value of 3.05 ng/mL, while serum carcinoembryonic antigen were 80.77% and 72.00% at the cutoff value of 2.60 ng/mL. The sensitivity could be raised to 88.17% in parallel detection of plural fluid reactive oxygen species modulator 1 and carcinoembryonic antigen concentration, and the specificity could be improved to 97.84% in serial detection.

Diagnostic value of soluble receptor-binding cancer antigen expressed on SiSo cells and carcinoembryonic antigen in differentiating malignant from benign pleural effusion.

Diagnosis of malignant pleural effusion (MPE) remains a major clinical challenge. The aim of this study was to evaluate the diagnostic value of combined detection of receptor-binding cancer antigen expressed on SiSo cells (RCAS1) and carcinoembryonic antigen (CEA) in patients with MPE and benign pleural effusion (BPE). The serum and pleural fluid samples were collected from 53 patients diagnosed with MPE and 49 patients with BPE. Enzyme-linked immunosorbent assay was used to detect the concentration of RCAS1 in serum and pleural effusion. The clinical data and laboratory information, including CEA levels, were gathered from these cases. The concentration of RCAS1 in MPE was significantly higher than that of BPE (P < 0.001). There was no significant difference between the two serum groups. The diagnostic sensitivity and specificity of pleural fluid RCAS1 were 67.92 and 81.63 %, respectively, at the optimized cutoff value of 7.326 U/mL; meanwhile, the sensitivity and specificity of pleural fluid CEA were 83.02 and 91.84 % at the cutoff value of 3.93 ng/mL. The specificity could be elevated to 98.50 % in serial detection, while the sensitivity may be improved to 94.55 % in parallel detection. Serum RCAS1 concentration was only detected in 53 serum samples out of the 102 samples, indicating that serum RCAS1 may not be a better option in differential diagnosis of malignancies compared with serum CEA, of which the diagnostic sensitivity and specificity were 64.15 and 83.67 % at the cutoff value of 3.90 ng/mL. No significant differences were found in pleural fluid RCAS1 concentration in MPE patients with different ages, gender, and pathological types of lung cancers. The detection of RCAS1 concentration in pleural fluid is informative for the diagnosis of MPE. Joint detection of RCAS1 and CEA can improve the diagnostic sensitivity and specificity. However, the diagnostic value of RCAS1 is not higher than that of CEA.

Incomplete B cell tolerance to cartilage oligomeric matrix protein in mice.

OBJECTIVE: Cartilage oligomeric matrix protein (COMP) is a major noncollagenous component of cartilage and is used as a biomarker in rheumatoid arthritis and experimental arthritis. Injection of COMP leads to severe inflammatory joint disease, and antibodies play a critical role in mediating arthritis. The arthritogenicity of COMP might be due to the lack of self tolerance. This study was undertaken to determine the status of COMP-specific B cell tolerance using COMP-deficient mice. METHODS: Arthritis development and antibody responses were compared between COMP-sufficient and COMP-deficient littermates after immunization with rat COMP. Serum anti-COMP antibody levels were measured using a panel of recombinant mouse COMP proteins, and antibody-secreting cells were enumerated by enzyme-linked immunospot assays. A novel sandwich enzyme-linked immunosorbent assay was developed to assess COMP molecules in serum. RESULTS: COMP-sufficient mice, but not COMP-deficient mice, developed severe arthritis following immunization with rat COMP. However, anti-COMP antibody titers to native COMP and recombinant protein domains covering the entire mouse COMP sequence, except the less immunodominant type 3 repeat domains, were decreased in COMP-sufficient mice compared to COMP-deficient mice. In addition, COMP-sufficient mice had fewer B cells secreting COMP-reactive antibodies. Detectable levels of full-length COMP in arthritic COMP-sufficient B10.Q NCF-1(*/*) and healthy mice suggested systemic availability of COMP to the immune system. CONCLUSION: The lack of arthritis, together with high levels of COMP-specific antibodies, in COMP-deficient mice indicates that susceptibility to arthritis is COMP specific and that endogenous expression of COMP in wild-type mice tolerizes B cells in vivo.

Understanding Pitfalls and Opportunities of Applying Heuristic Evaluation Methods to VR Training Systems: An Empirical Study.

The usability of virtual reality (VR) training applications is crucial for their success, but examining the usability in the early development stages remains challenging. A realistic and plausible solution would be revisiting and reconciling Heuristics Evaluation (HE) methods among the most widely used usability inspection methods in the human-computer interaction (HCI) domain. While research on studying and using HE methods is growing within the VR domain, few studies have considered the novel VR environment challenges new requirements for fitting HE methods to the context and applying them effectively. To this end, we conducted a user study with 14 evaluators using the standard HE methods to complete two HE sessions for a VR training application. We identified five critical challenges that evaluators encountered in the HE process by observing and interviewing them. Based on our findings, we discuss the importance of considering an easy-to-use heuristic set, how we can facilitate the HE procedures in the VR context, and the opportunities for developing HE-supporting tools.

Mitochondrial Fission in Nickel Nanoparticle-Induced Reproductive Toxicity: An In Vitro GC-1 Cell Study.

Reproductive disorders and declining fertility rates are significant public health concerns affecting birth rates and future populations. Male infertility, often due to spermatogenesis defects, may be linked to environmental pollutants like nickel nanoparticles (Ni NPs). Ni NPs are extensively utilized across different industries. Nevertheless, their potential adverse effects cannot be overlooked. Previous studies have linked the reproductive toxicity induced by Ni NPs with disturbances in mitochondrial function. Mitochondrial division/fusion dynamics are crucial to their proper function, yet little is known about how Ni NPs perturb these dynamics and whether such perturbation contributes to the impairment of the male reproductive system. Herein, we demonstrated that the exposure of Ni NPs to the mouse-derived spermatogonia cell line (GC-1 cells) triggered DRP1-mediated mitochondrial division and the enhanced impairment of mitochondria, consequently promoting mitochondria-dependent cell apoptosis. Notably, both the mitochondrial division inhibitor (Mdivi-1) and lentiviral-transfected cells with low expression of Dnm1l-DK in these cells could mitigate the toxic effects induced by Ni NPs, pointing to the potential role of mitochondrial dynamics in Ni NP-induced reproductive toxicity. Collectively, our work contributes to the understanding of the mechanisms by which Ni NPs can impact male reproductive function and identifies mitochondrial division as a potential target for intervention.

Glycosaminoglycans: Participants in Microvascular Coagulation of Sepsis.

Sepsis represents a syndromic response to infection and frequently acts as a common pathway leading to fatality in the context of various infectious diseases globally. The pathology of severe sepsis is marked by an excess of inflammation and activated coagulation. A substantial contributor to mortality in sepsis patients is widespread microvascular thrombosis-induced organ dysfunction. Multiple lines of evidence support the notion that sepsis induces endothelial damage, leading to the release of glycosaminoglycans, potentially causing microvascular dysfunction. This review aims to initially elucidate the relationship among endothelial damage, excessive inflammation, and thrombosis in sepsis. Following this, we present a summary of the involvement of glycosaminoglycans in coagulation, elucidating interactions among glycosaminoglycans, platelets, and inflammatory cells. In this section, we also introduce a reasoned generalization of potential signal pathways wherein glycosaminoglycans play a role in clotting. Finally, we discuss current methods for detecting microvascular conditions in sepsis patients from the perspective of glycosaminoglycans. In conclusion, it is imperative to pay closer attention to the role of glycosaminoglycans in the mechanism of microvascular thrombosis in sepsis. Dynamically assessing glycosaminoglycan levels in patients may aid in predicting microvascular conditions, enabling the monitoring of disease progression, adjustment of clinical treatment schemes, and mitigation of both acute and long-term adverse outcomes associated with sepsis.