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Extracellular ATP (eATP) signaling through the P2X7 receptor pathway is widely believed to trigger NLRP3 inflammasome assembly in microglia, potentially contributing to depression. However, the cellular stress responses of microglia to both eATP and stress itself remain largely unexplored. Mitochondria-associated membranes (MAMs) is a platform facilitating calcium transport between the endoplasmic reticulum (ER) and mitochondria, regulating ER stress responses and mitochondrial homeostasis. This study aims to investigate how MAMs influence microglial reaction and their involvement in the development of depression-like symptoms in response to chronic social defeat stress (CSDS). CSDS induced ER stress, MAMs’ modifications, mitochondrial damage, and the formation of the IP3R3-GRP75-VDAC1 complex at the ER-mitochondria interface in hippocampal microglia, all concomitant with depression-like behaviors. Additionally, exposing microglia to eATP to mimic CSDS conditions resulted in analogous outcomes. Furthermore, knocking down GRP75 in BV2 cells impeded ER-mitochondria contact, calcium transfer, ER stress, mitochondrial damage, mitochondrial superoxide production, and NLRP3 inflammasome aggregation induced by eATP. In addition, reduced GRP75 expression in microglia of Cx3cr1 CreER/+ Hspa9 f/+ mice lead to reduce depressive behaviors, decreased NLRP3 inflammasome aggregation, and fewer ER-mitochondria contacts in hippocampal microglia during CSDS. Here, we show the role of MAMs, particularly the formation of a tripartite complex involving IP3R3, GRP75, and VDAC1 within MAMs, in facilitating communication between the ER and mitochondria in microglia, thereby contributing to the development of depression-like phenotypes in male mice. Malfunctioning of cellular organelles, such as the endoplasmic reticulum (ER) and mitochondria, can have a role in stress-induced pathophysiological changes. Here, the authors show that increased mitochondria‐associated endoplasmic reticulum membranes contacts related to ATP-P2X7 receptor signaling contribute to stress responses in microglia and the development of depression-like behavior in male mice.

To improve the precision of medical image segmentation for enhanced clinical diagnosis and treatment, this study focuses on overcoming the limitations of existing models in capturing multi-scale information under resolution constraints while maintaining efficiency without compromising accuracy. We developed a multi-scale dense dilated Transformer (MDFormer), which integrates the multi-scale dense dilated self-attention (MDDSA) module. This module dynamically adjusts the size of the dense dilated matrix based on the resolution characteristics, enabling spatial downsampling at a fixed resolution and cross-scale information aggregation to effectively reduce computational costs. Our model achieved DSC of 92.7% on the ACDC dataset and 86.88% on the Synapse dataset, with 37.7 M parameters and 47.39G FLOPs. Paired T-tests were performed, demonstrating statistically significant improvements in segmentation performance compared to other models. The proposed MDFormer significantly enhances medical image segmentation through the effective leveraging of multi-scale information extraction, demonstrating promising potential in various medical image segmentation tasks and laying a solid foundation for future advancements in transformer-based models.

In this study, two phenol compounds, magnolol and honokiol, were extracted from Magnolia officinalis and identified by LC-MS, 1H- and 13C-NMR. The magnolol and honokiol were shown to be effective against seven pathogenic fungi, including Alternaria alternata (Fr.) Keissl, Penicillium expansum (Link) Thom, Alternaria dauci f.sp. solani, Fusarium moniliforme J. Sheld, Fusarium oxysporum Schltdl., Valsa mali Miyabe & G. Yamada, and Rhizoctonia solani J.G. Kühn, with growth inhibition of more than 57%. We also investigated the mechanisms underlying the potential antifungal activity of magnolol and honokiol. The results showed that they inhibited the growth of A. alternata in a dose-dependent manner. Moreover, magnolol and honokiol treatment resulted in distorted mycelia and increased the cell membrane permeability of A. alternata, as determined by conductivity measurements. These results suggest that magnolol and honokiol are potential antifungal agents for application against plant fungal diseases.

Whitefly-transmitted begomoviruses cause serious damage to many economically important food, feed, and fiber crops. Numerous vegetable crops are severely affected and chilli leaf curl virus (ChiLCV) is the most dominant and widely distributed begomovirus in chilli (Capsicum annuum) throughout the Indian subcontinent. Recently, CRISPR-Cas9 technology was used as a means to reduce geminivirus replication in infected plants. However, this approach was shown to have certain limitations such as the evolution of escape mutants. In this study, we used a novel, multiplexed guide RNA (gRNA) based CRISPR-Cas9 approach that targets the viral genome at two or more sites simultaneously. This tactic was effective in eliminating the ChiLCV genome without recurrence of functional escape mutants. Six individual gRNA spacer sequences were designed from the ChiLCV genome and in vitro assays confirmed the cleavage behaviour of these spacer sequences. Multiplexed gRNA expression clones, based on combinations of the above-mentioned spacer sequences, were developed. A total of nine-duplex and two-triplex CRISPR-Cas9 constructs were made. The efficacy of these constructs was tested for inhibition of ChiLCV infection in Nicotiana benthamiana. Results indicated that all the constructs caused a significant reduction in viral DNA accumulation. In particular, three constructs (gRNA5+4, gRNA5+2 and gRNA1+2) were most effective in reducing the viral titer and symptoms. T7E1 assay and sequencing of the targeted viral genome did not detect any escape mutants. The multiplexed genome-editing technique could be an effective way to trigger a high level of resistance against begemoviruses. To our knowledge, this is the first report of demonstrating the effectiveness of a multiplexed gRNA-based plant virus genome editing to minimize and eliminate escape mutant formation.

The number of CKD patients is on the rise worldwide, and diet has become an essential aspect influencing the treatment and prognosis of CKD. However, limited research has explored the association of the Dietary Inflammatory Index (DII) with CKD progression and the essential kidney function indicator, eGFR, in CKD patients. This study aimed to analyze the association between DII and CKD progression and eGFR in the US CKD population using data from the National Health and Nutrition Examination Survey (NHANES). This study utilized data obtained from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2018, with a total sample size of 2,488 individuals. Study used multiple imputation, based on 5 replications and a chained equation approach method in the R MI procedure, to account for missing data. Weighted multiple logistic regression was used to analyze the relationship between DII and the risk of higher CKD stage and a weighted multiple regression analysis was used to assess the relationship between DII and eGFR. Weighted Generalized Additive Models and smoothed curve fitting were applied to detect potential non-linear relationships in this association. In all three models, it was found that DII was positively associated with the risk of higher CKD stage (P < 0.0001), and an increase in DII was associated with a decrease in eGFR (P < 0.0001). The trend across quartiles of DII remained statistically significant, revealing a gradual elevation in higher CKD stage risk and reduction in eGFR levels for the second, third, and fourth quartiles compared to the lowest quartile (P for trend < 0.0001). Upon adjusting for age, gender, race, education level, poverty income ratio (PIR), marital status, body mass index (BMI), metabolic equivalent (MET) score, drinking, smoking, history of hypertension, history of diabetes, cotinine, systolic blood pressure, diastolic blood pressure, total triglycerides, and total cholesterol, we found a positive correlation between DII and the risk of higher CKD stage (OR = 1.26, 95% CI: 1.14-1.40). Further investigation revealed that an increase in DII was associated with a decrease in eGFR (β = -1.29, 95% CI: -1.75, -0.83). Smooth curves illustrated a non-linear positive correlation between DII and CKD risk, while a non-linear negative correlation was observed between DII and eGFR. Our study results indicate that an increase in DII is associated with an increased risk of higher CKD stage and a decrease in eGFR in all three models. In the fully adjusted model, the risk of higher CKD stage increased by 26% and the eGFR decreased by 1.29 ml/min/1.73 m2 for each unit increase in DII. This finding suggests that in patients with CKD in the US, improved diet and lower DII values may help slow the decline in eGFR and delay the progression of CKD.

Background The relationship between blood lipids and cognitive function has long been a subject of interest, and the association between serum non-high-density lipoprotein cholesterol (non-HDL-C) levels and cognitive impairment remains contentious. Methods We utilized data from the 2011 CHARLS national baseline survey, which after screening, included a final sample of 10,982 participants. Cognitive function was assessed using tests of episodic memory and cognitive intactness. We used multiple logistic regression models to estimate the relationship between non-HDL-C and cognitive impairment. Subsequently, utilizing regression analysis results from fully adjusted models, we explored the nonlinear relationship between non-HDL-C as well as cognitive impairment using smooth curve fitting and sought potential inflection points through saturation threshold effect analysis. Results The results showed that each unit increase in non-HDL-C levels was associated with a 5.5% reduction in the odds of cognitive impairment (OR = 0.945, 95% CI: 0.897–0.996; p  < 0.05). When non-HDL-C was used as a categorical variable, the results showed that or each unit increase in non-HDL-C levels, the odds of cognitive impairment were reduced by 14.2%, 20.9%, and 24% in the Q2, Q3, and Q4 groups, respectively, compared with Q1. In addition, in the fully adjusted model, analysis of the potential nonlinear relationship by smoothed curve fitting and saturation threshold effects revealed a U-shaped relationship between non-HDL-C and the risk of cognitive impairment, with an inflection point of 4.83. Before the inflection point, each unit increase in non-HDL-C levels was associated with a 12.3% decrease in the odds of cognitive impairment. After the tipping point, each unit increase in non-HDL-C levels was associated with an 18.8% increase in the odds of cognitive impairment (All p  < 0.05). Conclusion There exists a U-shaped relationship between non-HDL-C and the risk of cognitive impairment in Chinese middle-aged and elderly individuals, with statistical significance on both sides of the turning points. This suggests that both lower and higher levels of serum non-high-density lipoprotein cholesterol increase the risk of cognitive impairment in middle-aged and elderly individuals.

Potato mop-top virus (PMTV) is considered an emerging threat to potato production in the United States. PMTV is transmitted by a soil-borne protist, Spongospora subterranean . Rapid, accurate, and sensitive detection of PMTV in leaves and tubers is an essential component in PMTV management program. A rapid test that can be adapted to in-field, on-site testing with minimal sample manipulation could help in ensuring the sanitary status of the produce in situations such as certification programs and shipping point inspections. Toward that goal, a rapid and highly sensitive recombinase polymerase amplification (RPA)-based test was developed for PMTV detection in potato tubers. The test combines the convenience of RPA assay with a simple sample extraction procedure, making it amenable to rapid on-site diagnosis of PMTV. Furthermore, the assay was duplexed with a plant internal control to monitor sample extraction and RPA reaction performance. The method described could detect as little as 10 fg of PMTV RNA transcript in various potato tissues, the diagnostic limit of detection (LOQ) similar to that of traditional molecular methods.

Objective The Arabidopsis thaliana NAC-family transcription factor ATAF2 plays extensive regulatory roles in plant disease resistance, abiotic stress tolerance, leaf senescence, hormone metabolism, and seedling photomorphogenesis. Using Arabidopsis seedlings as the investigation platform, we previously demonstrated that ATAF2 overexpression can increase the endogenous levels of the growth-promoting hormone brassinosteroids (BRs) and suppress the expression of the chlorophyll b (Chl- b ) reductase NYC1, which catalyzes the initial step of the degradation of light-harvesting chlorophyll a / b -protein complex of photosystem II (LHCII). ATAF2 also promotes the expression of NIT2 , which is involved in the biosynthesis of the auxin indole-3-acetic acid (IAA). Here, we further examined the effects of elevated BR/IAA levels and reduced NYC1 expression on biomass and Chl- a / b accumulations, respectively. Results Twelve-day-old plants were harvested for biomass and Chl- a / b measurements. While no significant difference of biomass or Chl- a / b accumulations was observed between the wild-type Col-0 and the loss-of-function ataf2-1/2 plants, all three ATAF2 overexpression lines ( ATAF2ox-1/2/3 ) exhibited much higher biomass and Chl- a accumulations as compared to Col-0 and ataf2-1/2 , which can at least be partially interpreted as the consequences of higher endogenous BR/IAA levels and reduced NYC1 expression, respectively. The results demonstrate the positive regulatory role of ATAF2 in biomass and Chl- a accumulations. Notably, ATAF2 overexpression does not increase Arabidopsis biomass accumulation at later growth stages, indicating its functional nature of developmental timing acceleration.

Background Estimate glucose disposal rate (eGDR), Chinese visceral adiposity index (CVAI), triglyceride-glucose (TyG), TyG-body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), and atherogenic index of plasma (AIP) are considered surrogate indexes of insulin resistance (IR). There is a lack of studies comparing the predictive values of different IR surrogate indexes for stroke risk among individuals with abnormal glucose metabolism. This study aimed to investigate the relationships between six IR surrogate indexes and stroke risk in individuals with abnormal glucose metabolism, evaluate their predictive abilities for stroke risk. Methods Data from the China Health and Retirement Longitudinal Study (CHARLS) were analysed in this study. Multivariate logistic regression models were applied to analyse the relationships of IR surrogate indexes with stroke risk. The dose-response relationships between IR surrogate indexes and stroke risk were explored using restricted cubic splines. The areas under the curve (AUCs) of IR surrogate indexes were calculated by receiver operating characteristic (ROC) analysis. Results After adjusting for potential confounders, we observed that each standard deviation (SD) increase in eGDR was associated with a reduced risk of stroke, with an adjusted odds ratio (OR) of 0.746 [95% confidence interval (CI): 0.661–0.842]. In contrast, each SD increase in CVAI, TyG, TyG-BMI, METS-IR, and AIP were associated with an increased risk of stroke, with adjusted ORs (95% CIs) of 1.232 (1.106–1.373), 1.246 (1.050–1.479), 1.186 (1.022–1.376), 1.222 (1.069–1.396), and 1.193 (1.050–1.355), respectively. Dose-response analyses showed that eGDR, CVAI, TyG-BMI and METS-IR were linearly associated with stroke risk ( P nonlinear ≥ 0.05), whereas TyG and AIP were nonlinearly associated with stroke risk ( P nonlinear < 0.05). According to ROC analysis, The AUC of eGDR for predicting stroke risk in the overall population with abnormal glucose metabolism (AUC: 0.612, 95% CI: 0.584–0.640) was significantly higher than that of other indexes. Conclusion The six IR surrogate indexes were closely associated with high risk of stroke in individuals with abnormal glucose metabolism. The eGDR showed promising potential in predicting stroke risk in Chinese middle-aged and elderly populations with abnormal glucose metabolism.

Background/ObjectivesTo evaluate the clinical efficacy of topical tacrolimus 0.1% and cyclosporine 1% on high-risk penetrating keratoplasty (PKP) patients.Subjects/MethodsA series of 49 high-risk PKP patients (49 eyes), 20 males, 29 females from the age of 4 months to 74 years of age with the mean of 32.5 from 2012 to 2017 were recruited in this study. The patients were randomly divided into two groups by receiving either topical tacrolimus 0.1% or cyclosporine 1% respectively. Twenty five patients were treated with topical tacrolimus 0.1% and 24 patients with topical cyclosporine 1%. The traditional baseline management on these two groups were Tobramycin and Dexamethasone eye drops in the first 3 weeks and then tapered off. Clinical procedures and postoperative follow-up were documented.ResultsAfter 6–54 months follow-up, with the average of 24 months, 11 of 24 high-risk patients (11 eyes) had graft rejection, the rejection rate was 45.8% in topical cyclosporine 1% group. The rejections occurred from 35 days to 20 months after PKP. Three patients had irreversible rejection. On topical tacrolimus 0.1% group, the rejection occurred in four patients (four eyes) with rejection rate of 16%, and no irreversible rejection was observed. The graft rejection episodes were documented between 23 days and 24 months. As compared with the topical cyclosporine 1%, topical tacrolimus 0.1%, a key immunosuppressant, significantly decreased corneal graft rejection rate (p = 0.02).ConclusionsTopical tacrolimus 01% on high-risk PKP patients significantly prevented corneal graft rejection, and it had less adverse effects and was very safe to high-risk patients as to topical cyclosporine 1%. Further case controlled randomized clinical trial studies are needed to establish the best management option for these high-risk patients.