Dipeptidase 1 promotes ferroptosis in renal tubular epithelial cells in diabetic nephropathy via inhibition of the GSH/GPX4 axis.

Renal tubular injury is an important pathological change associated with diabetic nephropathy (DN), in which ferroptosis of renal tubular epithelial cells is critical to its pathogenesis. Inhibition of the glutathione/glutathione peroxidase 4 (GSH/GPX4) axis is the most important mechanism in DN tubular epithelial cell ferroptosis, but the underlying reason for this is unclear. Our biogenic analysis showed that a zinc-dependent metalloproteinase, dipeptidase 1 (DPEP1), is associated with DN ferroptosis. Here, we investigated the role and mechanism of DPEP1 in DN tubular epithelial cell ferroptosis. DPEP1 upregulation was observed in the renal tubular epithelial cells of DN patients and model mice, as well as in HK-2 cells stimulated with high glucose. Furthermore, the level of DPEP1 upregulation was associated with the degree of tubular injury in DN patients and HK-2 cell ferroptosis. Mechanistically, knocking down DPEP1 expression could alleviate the inhibition of GSH/GPX4 axis and reduce HK-2 cell ferroptosis levels in a high glucose environment. HK-2 cells with stable DPEP1 overexpression also showed GSH/GPX4 axis inhibition and ferroptosis, but blocking the GSH/GPX4 axis could mitigate these effects. Additionally, treatment with cilastatin, a DPEP1 inhibitor, could ameliorate GSH/GPX4 axis inhibition and relieve ferroptosis and DN progression in DN mice. These results revealed that DPEP1 can promote ferroptosis in DN renal tubular epithelial cells via inhibition of the GSH/GPX4 axis.

Influence of Surface Basic sites and Oxygen Vacancies on the Performance of Metal-Modified Rod-Like Ceria Catalysts for Low-Temperature Hydrolysis of Carbonyl Sulfide.

This study utilized a hydrothermal method to synthesize various metal-modified rod-like ceria catalysts (Fe, Co, Cu, Ni, La), achieving efficient COS removal at low temperatures. The research identified surface oxygen vacancies and basic sites as critical factors that influence the catalytic performance of COS hydrolysis. The addition of different metals to pristine ceria rods increased the specific surface area, oxygen vacancy content (Ov), and basicity, which enhanced the catalysts' sulfur resistance and stability. Among all the catalysts tested, 10La-CeO2 demonstrated the highest COS removal rate. This is because La doping significantly augmented Ov, providing more H2O adsorption and activation sites. Furthermore, 10La-CeO2 showed enhanced Lewis basicity, making it easier for COS to adsorb and promote hydrolysis. The in situ DRIFTS results confirmed that appropriate oxygen vacancies and basic sites favored the formation of intermediates such as HCO3- and HSCO2-, promoting the decomposition of COS into H2S and CO2.

A proof-of-concept study on bioorthogonal-based pretargeting and signal amplify radiotheranostic strategy.

BACKGROUND: Radiotheranostics differs from the vast majority of other cancer therapies in its capacity for simultaneous imaging and therapy, and it is becoming more widely implemented. A balance between diagnostic and treatment requirements is essential for achieving effective radiotheranostics. Herein, we propose a proof-of-concept strategy aiming to address the profound differences in the specific requirements of the diagnosis and treatment of radiotheranostics. RESULTS: To validate the concept, we designed an s-tetrazine (Tz) conjugated prostate-specific membrane antigen (PSMA) ligand (DOTA-PSMA-Tz) for 68Ga or 177Lu radiolabeling and tumor radiotheranostics, a trans-cyclooctene (TCO) modified Pd@Au nanoplates (Pd@Au-PEG-TCO) for signal amplification, respectively. We then demonstrated this radiotheranostic strategy in the tumor-bearing mice with the following three-step procedures: (1) i.v. injection of the [68Ga]Ga-PSMA-Tz for diagnosis; (2) i.v. injection of the signal amplification module Pd@Au-PEG-TCO; (3) i.v. injection of the [177Lu]Lu-PSMA-Tz for therapy. Firstly, this strategy was demonstrated in 22Rv1 tumor-bearing mice via positron emission tomography (PET) imaging with [68Ga]Ga-PSMA-Tz. We observed significantly higher tumor uptake (11.5 ± 0.8%ID/g) with the injection of Pd@Au-PEG-TCO than with the injection [68Ga]Ga-PSMA-Tz alone (5.5 ± 0.9%ID/g). Furthermore, we validated this strategy through biodistribution studies of [177Lu]Lu-PSMA-Tz, with the injection of the signal amplification module, approximately five-fold higher tumor uptake of [177Lu]Lu-PSMA-Tz (24.33 ± 2.53% ID/g) was obtained when compared to [177Lu]Lu-PSMA-Tz alone (5.19 ± 0.26%ID/g) at 48 h post-injection. CONCLUSION: In summary, the proposed strategy has the potential to expand the toolbox of pretargeted radiotherapy in the field of theranostics.

Development of small-molecular-based radiotracers for PET imaging of PD-L1 expression and guiding the PD-L1 therapeutics.

PURPOSE: Programmed cell death protein ligand 1 (PD-L1) is a crucial biomarker for immunotherapy. However, nearly 70% of patients do not respond to PD-L1 immune checkpoint therapy. Accurate monitoring of PD-L1 expression and quantification of target binding during treatment are essential. In this study, a series of small-molecule radiotracers were developed to assess PD-L1 expression and direct immunotherapy. METHODS: Radiotracers of [68Ga]Ga-D-PMED, [68Ga]Ga-D-PEG-PMED, and [68Ga]Ga-D-pep-PMED were designed based on a 2-methyl-3-biphenyl methanol scaffold and successfully synthesized. Cellular experiments and molecular docking assays were performed to determine their specificity for PD-L1. PD-L1 status was investigated via positron emission tomography (PET) imaging in MC38 tumor models. PET imaging of [68Ga]Ga-D-pep-PMED was performed to noninvasively quantify PD-L1 blocking using an anti-mouse PD-L1 antibody (PD-L1 mAb). RESULTS: The radiosyntheses of [68Ga]Ga-D-PMED, [68Ga]Ga-D-PEG-PMED, and [68Ga]Ga-D-pep-PMED were achieved with radiochemical yields of 87 ± 6%, 82 ± 4%, and 79 ± 9%, respectively. In vitro competition assays demonstrated their high affinities (the IC50 values of [68Ga]Ga-D-PMED, [68Ga]Ga-D-PEG-PMED, and [68Ga]Ga-D-pep-PMED were 90.66 ± 1.24, 160.8 ± 1.35, and 51.6 ± 1.32 nM, respectively). At 120 min postinjection (p.i.) of the radiotracers, MC38 tumors displayed optimized tumor-to-muscle ratios for all radioligands. Owing to its hydrophilic modification, [68Ga]Ga-D-pep-PMED had the highest target-to-nontarget (T/NT) ratio of approximately 6.2 ± 1.2. Interestingly, the tumor/liver ratio was hardly affected by different concentrations of the inhibitor BMS202. We then evaluated the impacts of dose and time on accessible PD-L1 levels in the tumor during anti-mouse PD-L1 antibody treatment. The tumor uptake of [68Ga]Ga-D-pep-PMED significantly decreased with increasing PD-L1 mAb dose. Moreover, after 8 days of treatment with a single antibody, the uptake of [68Ga]Ga-D-pep-PMED in the tumor significantly increased but remained lower than that in the saline group. CONCLUSION: PET imaging with [68Ga]Ga-D-pep-PMED, a small-molecule radiotracer, is a promising tool for evaluating PD-L1 expression and quantifying the target blockade of PD-L1 to assist in the development of effective therapeutic regimens.

Application of a rehabilitation management strategy based on symptom management theory in postoperative functional exercises in patients with lower extremity arteriosclerosis obliterans.

BACKGROUND: Lower extremity arteriosclerosis obliterans (ASO) is the most common occlusive disease of the peripheral blood vessels. OBJECTIVE: To explore the application effect of symptom management-based rehabilitation strategy in postoperative functional exercises in patients with lower extremity ASO. METHODS: The researchers selected 136 patients that underwent lower extremity ASO surgery for the first time in their department from January to September 2020. Patients were divided into a control group (n= 68) and an experimental group (n= 68). The control group implemented routine discharge rehabilitation education and continuous nursing. On this basis, the experimental group applied the symptom management theory to the rehabilitation management strategy to compare the degree of pain, the ankle-brachial index, self-care ability and quality of life between the two groups before and after the intervention. RESULTS: Three months (P= 0.045) and six months (P=0.013) after discharge, the experimental group's degree of pain was significantly lower than that of the control group. At one month (P= 0.019), three months (P= 0.003) and six months (P= 0.000) after discharge, the experimental group recovered significantly better than the control group. At six months after discharge, the self-care ability, mood status and physical pain of the experimental group were significantly higher than in the control group (P< 0.05). CONCLUSION: The rehabilitation management strategy, which is based on symptom management theory, can effectively improve the symptoms, quality of life and self-efficacy of ASO patients in continuous care. This nursing strategy is worthy of clinical promotion.

Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations.

Individually randomized group treatment (IRGT) trials, in which the clustering of outcome is induced by group-based treatment delivery, are increasingly popular in public health research. IRGT trials frequently incorporate longitudinal measurements, of which the proper sample size calculations should account for correlation structures reflecting both the treatment-induced clustering and repeated outcome measurements. Given the relatively sparse literature on designing longitudinal IRGT trials, we propose sample size procedures for continuous and binary outcomes based on the generalized estimating equations approach, employing the block exchangeable correlation structures with different correlation parameters for the treatment arm and for the control arm, and surveying five marginal mean models with different assumptions of time effect: no-time constant treatment effect, linear-time constant treatment effect, categorical-time constant treatment effect, linear time by treatment interaction, and categorical time by treatment interaction. Closed-form sample size formulas are derived for continuous outcomes, which depends on the eigenvalues of the correlation matrices; detailed numerical sample size procedures are proposed for binary outcomes. Through simulations, we demonstrate that the empirical power agrees well with the predicted power, for as few as eight groups formed in the treatment arm, when data are analyzed using the matrix-adjusted estimating equations for the correlation parameters with a bias-corrected sandwich variance estimator.

Long-read genome sequencing reveals a novel intronic retroelement insertion in NR5A1 associated with 46,XY differences of sexual development.

Despite significant advancements in rare genetic disease diagnostics, many patients with rare genetic disease remain without a molecular diagnosis. Novel tools and methods are needed to improve the detection of disease-associated variants and understand the genetic basis of many rare diseases. Long-read genome sequencing provides improved sequencing in highly repetitive, homologous, and low-complexity regions, and improved assessment of structural variation and complex genomic rearrangements compared to short-read genome sequencing. As such, it is a promising method to explore overlooked genetic variants in rare diseases with a high suspicion of a genetic basis. We therefore applied PacBio HiFi sequencing in a large multi-generational family presenting with autosomal dominant 46,XY differences of sexual development (DSD), for whom extensive molecular testing over multiple decades had failed to identify a molecular diagnosis. This revealed a rare SINE-VNTR-Alu retroelement insertion in intron 4 of NR5A1, a gene in which loss-of-function variants are an established cause of 46,XY DSD. The insertion segregated among affected family members and was associated with loss-of-expression of alleles in cis, demonstrating a functional impact on NR5A1. This case highlights the power of long-read genome sequencing to detect genomic variants that have previously been intractable to detection by standard short-read genomic testing.

Characteristics of high-risk HPV infection in women with vaginal intraepithelial neoplasia in Beijing, China.

We evaluated the characteristics of high-risk human papillomavirus (Hr-HPV) infection in different grades of vaginal intraepithelial neoplasia (VaIN). 7469 participants were involved in this study, of which 601 were diagnosed with VaIN, including single vaginal intraepithelial neoplasia (s-VaIN, n = 369) and VaIN+CIN (n = 232), 3414 with single cervical intraepithelial neoplasia (s-CIN), 3446 with cervicitis or vaginitis and 8 with vaginal cancer. We got those results. First, the most popular HPV genotypes in VaIN were HPV16, 52, 58, 51, and 56. Second, our study showed that higher parity and older age were risk factors for VaIN3 (p < 0.005). Third, the median Hr-HPV load of VaIN+CIN (725) was higher than that of s-CIN (258) (p = 0.027), and the median Hr-HPV load increased with the grade of VaIN. In addition, the risk of VaIN3 was higher in women with single HPV16 infections (p = 0.01), but those with multiple HPV16 infections faced a higher risk of s-VaIN (p = 0.003) or VaIN+CIN (p = 0.01). Our results suggested that women with higher gravidity and parity, higher Hr-HPV load, multiple HPV16 infections, and perimenopause or menopause status faced a higher risk for VaIN, while those with higher parity, single HPV16 infections, and menopause status are more prone to VaIN3.

High-intensity interval training alleviates exhaustive exercise-induced HSP70-assisted selective autophagy in skeletal muscle.

This study was designed to probe the effect of chaperone-assisted selective autophagy (CASA) on the maintenance of proteostasis during exhaustive exercise and uncover the alteration of CASA in muscle fibers with pre-high-intensity interval training (HIIT) intervention-induced muscle adaptation in response to exhaustive exercise. Rats were randomly divided into a control group; an exhaustive exercise group; and an HIIT + exhaustive exercise group. Results show myofibril damage and BiP levels were increased after exhaustive exercise, and the levels of the HSP70, BAG3, ubiquitin, autophagy-related proteins, and their interactions were increased. HIIT intervention before exhaustive exercise could decrease myofibril injury and BiP levels, accompanied by down-regulation of HSP70/BAG3 complex and selective autophagy. In conclusion, exhaustive exercise promotes CASA to clear protein aggregation for keeping proteostasis in muscle fibers; pre-HIIT intervention improves myofibril injury and unfold protein response caused by exhaustive exercise, which might contribute to inhibit the augmentation of CASA.

Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016-2022.

BACKGROUND/AIMS: The stepped-wedge cluster randomized trial (SW-CRT), in which clusters are randomized to a time at which they will transition to the intervention condition - rather than a trial arm - is a relatively new design. SW-CRTs have additional design and analytical considerations compared to conventional parallel arm trials. To inform future methodological development, including guidance for trialists and the selection of parameters for statistical simulation studies, we conducted a review of recently published SW-CRTs. Specific objectives were to describe (1) the types of designs used in practice, (2) adherence to key requirements for statistical analysis, and (3) practices around covariate adjustment. We also examined changes in adherence over time and by journal impact factor. METHODS: We used electronic searches to identify primary reports of SW-CRTs published 2016-2022. Two reviewers extracted information from each trial report and its protocol, if available, and resolved disagreements through discussion. RESULTS: We identified 160 eligible trials, randomizing a median (Q1-Q3) of 11 (8-18) clusters to 5 (4-7) sequences. The majority (122, 76%) were cross-sectional (almost all with continuous recruitment), 23 (14%) were closed cohorts and 15 (9%) open cohorts. Many trials had complex design features such as multiple or multivariate primary outcomes (50, 31%) or time-dependent repeated measures (27, 22%). The most common type of primary outcome was binary (51%); continuous outcomes were less common (26%). The most frequently used method of analysis was a generalized linear mixed model (112, 70%); generalized estimating equations were used less frequently (12, 8%). Among 142 trials with fewer than 40 clusters, only 9 (6%) reported using methods appropriate for a small number of clusters. Statistical analyses clearly adjusted for time effects in 119 (74%), for within-cluster correlations in 132 (83%), and for distinct between-period correlations in 13 (8%). Covariates were included in the primary analysis of the primary outcome in 82 (51%) and were most often individual-level covariates; however, clear and complete pre-specification of covariates was uncommon. Adherence to some key methodological requirements (adjusting for time effects, accounting for within-period correlation) was higher among trials published in higher versus lower impact factor journals. Substantial improvements over time were not observed although a slight improvement was observed in the proportion accounting for a distinct between-period correlation. CONCLUSIONS: Future methods development should prioritize methods for SW-CRTs with binary or time-to-event outcomes, small numbers of clusters, continuous recruitment designs, multivariate outcomes, or time-dependent repeated measures. Trialists, journal editors, and peer reviewers should be aware that SW-CRTs have additional methodological requirements over parallel arm designs including the need to account for period effects as well as complex intracluster correlations.

Application of E-coach chronic disease management model in rehabilitation management of patients with arteriosclerosis obliterans.

OBJECTIVE: To explore the effect of a health (E)-coach chronic disease management model on the rehabilitation behaviour management of patients with arteriosclerosis obliterans (ASO). METHODS: The E-coach chronic disease management model was constructed based on a literature review and expert interviews. The effect of the E-coach model on patients with ASO during hospitalisation was analysed by comparing the compliance rates of blood glucose control, blood pressure control, drug compliance, ankle-brachial index, 6-min walking test (6MWT) and pain-free walking distance (PFWD) scores between the E-coach and control groups. RESULTS: In total, 212 patients with ASO were included in this study. After the intervention, the blood pressure compliance rate (44.8% vs. 65.7%) and blood glucose compliance rate (48.6% vs. 66.8%) were higher in the E-coach group than in the control group (p < 0.05). After intervention, compared with the control group, the patients in the E-coach group had better drug compliance (6.8 ± 1.9 vs. 7.9 ± 1.0), and the difference was statistically significant (p < 0.05). The scores for the 6MWT (329.19 ± 5.58 vs. 353.00 ± 9.76; 412.65 ± 12.59 vs. 499.16 ± 18.43) and PFWD (219.15 ± 11.96 vs. 225.36 ± 16.13; 331.62 ± 51.36 vs. 369.42 ± 75.71) tests were significantly higher in the E-coach group than in the control group at 1 and 6 months after intervention (p < 0.05). CONCLUSION: The E-coach chronic disease management model can effectively improve the control rates of blood glucose and blood pressure and the behaviour management of patients with ASO and is thus worthy of clinical reference.

Identification and Analysis of a Four-Gene Set for Diagnosing SFTS Virus Infection Based on Machine Learning Methods and Its Association with Immune Cell Infiltration.

Severe Fever with thrombocytopenia syndrome (SFTS) is a highly fatal viral infectious disease that poses a significant threat to public health. Currently, the phase and pathogenesis of SFTS are not well understood, and there are no specific vaccines or effective treatment available. Therefore, it is crucial to identify biomarkers for diagnosing acute SFTS, which has a high mortality rate. In this study, we conducted differentially expressed genes (DEGs) analysis and WGCNA module analysis on the GSE144358 dataset, comparing the acute phase of SFTSV-infected patients with healthy individuals. Through the LASSO-Cox and random forest algorithms, a total of 2128 genes were analyzed, leading to the identification of four genes: ADIPOR1, CENPO, E2F2, and H2AC17. The GSEA analysis of these four genes demonstrated a significant correlation with immune cell function and cell cycle, aligning with the functional enrichment findings of DEGs. Furthermore, we also utilized CIBERSORT to analyze the immune cell infiltration and its correlation with characteristic genes. The results indicate that the combination of ADIPOR1, CENPO, E2F2, and H2AC17 genes has the potential as characteristic genes for diagnosing and studying the acute phase of SFTS virus (SFTSV) infection.

Synergistic lethality between auranofin-induced oxidative DNA damage and ATR inhibition in cancer cells.

AIMS: Studies in the past have shown that inhibition of the ataxia telangiectasia and Rad3-related (ATR) kinase sensitizes cancer cells to genotoxic anticancer treatments, however, clinical use of ATR inhibitors in combination with DNA damaging chemotherapy is limited due to toxicity in healthy tissues. In this study, we investigated the synergistic anticancer effect between ATR inhibition and oxidative DNA damage induced by the thioredoxin reductase inhibitor auranofin. MAIN METHODS: Cytotoxicity was evaluated by cell viability assays. Western blot, comet assay, immunostaining and flow cytometry were performed to dissect the underlying mechanisms. In vivo efficacy was examined against tumor xenografts. KEY FINDINGS: Nontoxic doses of auranofin alone increased the levels of reactive oxygen species (ROS) in cancer but not noncancerous cells, resulting in oxidative DNA damage and activation of the ATR DNA damage response pathway selectively in cancer cells. Inhibition of ATR in auranofin-treated cancer cells resulted in unscheduled firing of dormant DNA replication origins, abrogation of the S phase cell cycle checkpoint and extensive DNA breakage, leading to replication catastrophe and potent synergistic lethality. Both the antioxidant NAC and the DNA polymerase inhibitor aphidicolin reduced replication stress and synergistic cytotoxicity, implicating replication stress-driven catastrophic cell death resulted from collision between oxidative DNA damage and dysregulated DNA replication. In vivo, auranofin and VE822 coadministration enabled marked regressions of tumor xenografts, while each drug alone had no effect. SIGNIFICANCE: As increased generation of ROS is a universal feature of tumors, our findings may open new routes to broaden the therapeutic potential of ATR inhibitors.

Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized Trials.

Cluster-randomized trials (CRTs) often allocate intact clusters of participants to treatment or control conditions and are increasingly used to evaluate healthcare delivery interventions. While previous studies have developed sample size methods for testing confirmatory hypotheses of treatment effect heterogeneity in CRTs (i.e., targeting the difference between subgroup-specific treatment effects), sample size methods for testing the subgroup-specific treatment effects themselves have not received adequate attention-despite a rising interest in health equity considerations in CRTs. In this article, we develop formal methods for sample size and power analyses for testing subgroup-specific treatment effects in parallel-arm CRTs with a continuous outcome and a binary subgroup variable. We point out that the variances of the subgroup-specific treatment effect estimators and their covariance are given by weighted averages of the variance of the overall average treatment effect estimator and the variance of the heterogeneous treatment effect estimator. This analytical insight facilitates an explicit characterization of the requirements for both the omnibus test and the intersection-union test to achieve the desired level of power. Generalizations to allow for subgroup-specific variance structures are also discussed. We report on a simulation study to validate the proposed sample size methods and demonstrate that the empirical power corresponds well with the predicted power for both tests. The design and setting of the Umea Dementia and Exercise (UMDEX) CRT in older adults are used to illustrate our sample size methods.

Study on the equity of urban green space: Origin, progress, and enlightenment.

Urban green space equity focuses on whether different social groups can equally share the well-being from green space, which is an important issue in the realm of environmental justice. We systematically introduced the origin and development of green space equity, explored its multidimensional progress in conceptual connotation, measurement methodology, phenomenon, mechanism, and regulation, and proposed the enlightenment for deepening the related studies. The green space equity originated from environmental social movement and environmental justice studies, and experienced multilevel evolution in topic constriction and theoretical interpretation. Although the connotation of green space equity was interpreted from various perspectives, its core idea was distributional equality. There was a frequently-used framework for measurement methodology of green space equity, whose spatial scale issue was critical. Due to the differences of characteristics, developmental stages, and institutional backgrounds between Chinese and Western cities, the phenomena and driving mechanisms of green space equity were different. The regulation strategies of green space equity could be summarized into three types, including green distributional equitable strategy, social recognitional justice strategy, and procedural justice orientated strategy. Future studies should deepen the research from the hierarchical logics for practice management, the fine-scale measurement methodology, the interpretation of mechanism for green space inequity in Chinese context, and simulation of differentiated regulation strategies. Social development endows green space equity with more practical tasks and theoretical logics, which is urgent to clarify the research progress to support the future research.

Knockout of CLTC gene reduces but not completely block SFTSV infection.

Clathrin is a key protein for viruses to enter host cells. Previous studies often use clathrin inhibitors or gene knockdown technology to partially inhibit the function of clathrin, but whether SFTSV can infect host cells without clathrin expression remains unclear. In this research, a clathrin heavy chains (CLTC) knockout A549 cell line was established by CRISPR/Cas9 technology, and the knockout of CLTC was verified by PCR, Western blot, immunofluorescence and T7E1 analysis. The off-target effect was evaluated by PCR combined with Sanger sequencing. Furthermore, this research verified that SFTSV infection was significantly inhibited, but not completely blocked, due to the deletion of CLTC protein. Our research also found that lipid raft inhibitor Filipin, other than macropinocytosis inhibitor EIPA, could significantly reduce SFTSV infection, and the inhibition was more obviously observed when Filipin was used in CLTC knockout cells. These result indicated that clathrin-dependent and lipid raft mediated endocytosis are the major two mode used by SFTSV entry. In conclusion, this study constructed a CLTC knockout cell line, which, for the first time, established a cell model for the study of the function of CLTC protein, and provided direct evidence that SFTSV pendent could still infect cells without clathrin. Additionally, we confirmed that lipid raft mediated endocytosis, as a clathrin-independent pathway, could be another key mode for SFTSV entry.

Amplification-Free Nucleic Acid Testing with a Fluorescence One-Step-Branched DNA-Based Lateral Flow Assay (FOB-LFA).

The emergence of the global pandemic and the discovery of nucleic acid biomarkers in cancer diagnosis have fostered the development of more accurate and adaptive molecular diagnosis technologies. Current nucleic acid testing (NAT) methods either lack sensitivity or require tedious amplification operations, which could not meet the need for point-of-care (POC) NAT for on-site and community-based diagnosis. Here, we present a fluorescence one-step-bDNA-based lateral flow assay (FOB-LFA) method for amplification-free NAT to realize point-of-care pathogen detection and disease diagnosis. Take COVID-19 as an example, the developed FOB-LFA demonstrated a high sensitivity of 300 copies/mL for the RNA of the SARS-CoV-2 pseudovirus and exhibited high specificity among various homologous pseudoviruses. Further, the result of oropharyngeal swab sample detection suggested the great potential of FOB-LFA in clinical examination. The outstanding performance of FOB-LFA, including high sensitivity, high specificity, low cost, excellent portability, and minimized risk of nucleic acid leakage and contamination, can meet the POC testing demand for the diagnosis of various infectious and genetic diseases.

Design and Synthesis of Red Through-Space Charge Transfer Thermally Activated Delayed Fluorescence Emitters with Donor/Acceptor/Donor Stacking.

Red through-space charge transfer thermally activated delayed fluorescence (TSCT TADF) materials named SAF36DCPP and SAF27DCPP with sandwiched structures were synthesized. Single crystals indicated that the intramolecular C-H···π interactions play a vital role in rigidifying the sandwiched structure, which results in a fluorescence yield of 63% for SAF36DCPP compared to 40% for SAF27DCPP. Organic light-emitting diodes with SAF36DCPP as the emitter realized a maximum external quantum efficiency of 16.12%.

The impact of concomitant metabolic dysfunction-associated fatty liver disease on adverse outcomes in patients with hepatitis B cirrhosis: a propensity score matching study.

BACKGROUND AND AIMS: In cirrhotic patients, the clinical relevance of metabolic dysfunction-associated fatty liver disease (MAFLD) is unclear. We aimed to research the relationship between MAFLD and adverse clinical outcomes in patients with hepatitis B cirrhosis. METHODS: A total of 439 patients with hepatitis B cirrhosis were enrolled. Abdominal MRI and computed tomography were used to calculate liver fat content in order to evaluate steatosis. The Kaplan-Meier method was implemented to generate survival curves. The independent risk factors for prognosis were identified by multiple Cox regression. Propensity score matching (PSM) was used to reduce the influence of confounding factors. This study explored the relevance between MAFLD and mortality, first decompensation and further decompensation. RESULTS: In our study, most patients were decompensated cirrhosis (n = 332, 75.6%) and the ratio of decompensated cirrhosis patients in non-MAFLD to MAFLD group was 199 : 133. Compared to the non-MAFLD group, patients with MAFLD had worse liver function which mainly reflected that there were more Child-Pugh C patients and higher model for end-stage liver disease score in the MAFLD group. A total of 207 adverse clinical events occurred in the total cohort during a median follow-up of 47 months, including 45 deaths, 28 hepatocellular carcinoma, 23 first decompensation and 111 further decompensation. Cox multivariate analysis showed that MAFLD was an independent risk factor for death [hazard ratio (HR) 1.931; 95% confidence interval (CI) 1.019-3.660; P = 0.044 HR 2.645; 95% CI, 1.145-6.115; P = 0.023] and further decompensation (HR 1.859; 95% CI, 1.261-2.741; P = 0.002 HR 1.953; 95% CI, 1.195-3.192; P = 0.008) before and after PSM. In decompensated group with MAFLD, diabetes had a more significant effect on adverse prognosis than overweight or obesity and other metabolic risk factors. CONCLUSION: In patients with hepatitis B cirrhosis, concomitant MAFLD can predict a higher risk of further decompensation and death among decompensated individuals. According to patients among MAFLD, diabetes may be a major factor in the occurrence of adverse clinical events.