Alzheimer's disease (AD) is the major form of dementia in the elderly and is closely related to the toxic effects of microglia sustained activation. In AD, sustained microglial activation triggers impaired synaptic pruning, neuroinflammation, neurotoxicity, and cognitive deficits. Accumulating evidence has demonstrated that aberrant expression of deubiquitinating enzymes is associated with regulating microglia function. Here, we use RNA sequencing to identify a deubiquitinase YOD1 as a regulator of microglial function and AD pathology. Further study showed that YOD1 knockout significantly improved the migration, phagocytosis, and inflammatory response of microglia, thereby improving the cognitive impairment of AD model mice. Through LC-MS/MS analysis combined with Co-IP, we found that Myosin heavy chain 9 (MYH9), a key regulator maintaining microglia homeostasis, is an interacting protein of YOD1. Mechanistically, YOD1 binds to MYH9 and maintains its stability by removing the K48 ubiquitin chain from MYH9, thereby mediating the microglia polarization signaling pathway to mediate microglia homeostasis. Taken together, our study reveals a specific role of microglial YOD1 in mediating microglia homeostasis and AD pathology, which provides a potential strategy for targeting microglia to treat AD.

Notum, a negative feedback regulator of the Wnt signaling, has emerged as a promising target for treating glucocorticoid-induced osteoporosis (GIOP). This study showcases an efficient strategy for discovering the anti-Notum constituents from herbal medicines (HMs) as novel anti-GIOP agents. Firstly, a rapid-responding near-infrared fluorogenic substrate for Notum was rationally engineered for high-throughput identifying the anti-Notum HMs. The results showed that Bu-Gu-Zhi (BGZ), a known anti-osteoporosis herb, potently inhibited Notum in a competitive-inhibition manner. To uncover the key anti-Notum constituents in BGZ, an efficient strategy was adapted via integrating biochemical, phytochemical, computational, and pharmacological assays. Among all identified BGZ constituents, three furanocoumarins were validated as strong Notum inhibitors, while 5-methoxypsoralen (5-MP) showed the most potent anti-Notum activity and favorable safety profiles. Mechanistically, 5-MP acted as a competitive inhibitor of Notum via creating strong hydrophobic interactions with Trp128 and Phe268 in the catalytic cavity of Notum. Cellular assays showed that 5-MP remarkably promoted osteoblast differentiation and activated Wnt signaling in dexamethasone (DXMS)-challenged MC3T3-E1 osteoblasts. In dexamethasone-induced osteoporotic mice, 5-MP strongly elevated bone mineral density (BMD) and improved cancellous and cortical bone thickness. Collectively, this study constructs a high-efficient platform for discovering key anti-Notum constituents from HMs, while 5-MP emerges as a promising anti-GIOP agent.

Idiopathic pulmonary fibrosis (IPF) is a progressive disease lacking effective therapy. Metformin, an antidiabetic medication, has shown promising therapeutic properties in preclinical fibrosis models; however, its precise cellular targets and associated mechanisms in fibrosis resolution remain incompletely defined. Most research on metformin's effects has focused on mesenchymal and inflammatory responses with limited attention to epithelial cells. In this study, we utilized Sftpc lineage-traced and Fgfr2b conditional knockout mice, along with BMP2/PPARγ and AMPK inhibitors, to explore metformin's impact on alveolar epithelial cells in a bleomycin-induced pulmonary fibrosis model and cell culture. We found that metformin increased the proliferation and differentiation of alveolar type 2 (AT2) cells, particularly the recently identified injury-activated alveolar progenitors (IAAPs)-a subpopulation characterized by low SFTPC expression but enriched for PD-L1. Single-cell RNA sequencing revealed a reduction in apoptosis among mature AT2 cells. Interestingly, metformin's therapeutic effects were not significantly affected by BMP2 or PPARγ inhibition, which blocked the lipogenic differentiation of myofibroblasts. However, Fgfr2b deletion in Sftpc lineage cells significantly impaired metformin's ability to promote fibrosis resolution, a process linked to AMPK signaling. In conclusion, metformin alleviates fibrosis by directly activating AT2 cells, especially the IAAPs, through a mechanism that involves AMPK and FGFR2b signaling, but is largely independent of BMP2/PPARγ pathways.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective:To investigate the mechanism by which histone deacetylase 6 (HDAC6) exerts immune protective effects in Chlamydia trachomatis respiratory tract infection. Methods:Wild-type (WT) C57BL/6 mice and HDAC6 gene knockout (HDAC6 -/-) mice were used to establish mouse models of Chlamydia muridarum ( Cm) respiratory infection by nasal inhalation of Cm. qPCR and Western blot were used to detect the relative expression of HDAC6 in lung tissues of WT mice after Cm infection. Intracellular factor staining was used to detect the percentages and absolute numbers of CD4 + T cell subsets (Th1, Th17 and Th2 cells)in mouse lung tissues after infection. The levels of IL-4 in spleen cell culture supernatants were measured by ELISA. One-way or two-way analysis of variance (ANOVA) was used for statistical analysis. Results:Cm respiratory tract infection significantly promoted the expression of HDAC6 at both mRNA and protein levels in lung tissues of WT mice ( P<0.001). HDAC6 -/- mice lost more weight than WT mice and took longer to recover to the normal level. Chlamydia load ( P<0.001 and P<0.05) and pathological damage ( P<0.05 and P<0.000 1) in lung tissues were more serious in HDAC6 -/- mice than in WT mice at 7 and 14 d after infection. Neither the percentage nor the absolute number of Th1 (CD4 + IFN-γ + T) and Th17 (CD4 + IL-17 + T) cells showed significant differences between WT and HDAC6 -/- mice, while the percentage and absolute number of Th2 (CD4 + IL-4 + T) cells increased in HDAC6 -/- mice ( P<0.05 and P<0.01). Moreover, in HDAC6 -/- mice, the expression of IL-4 mRNA increased ( P<0.000 1) and the level of IL-4 in the splenic cell culture supernatants increased ( P<0.01). Conclusions:HDAC6 plays an immune protective role in Cm infection. It can reduce the susceptibility of host to Cm respiratory tract infection and alleviates the pathological damage in lung tissues by inhibiting the immune response of Th2 cells.

The elimination of biofilms is a crucial step in controlling hospital-acquired infections.Once biofilms colonize luminal instruments,it is difficult to remove them using traditional disinfection methods.Conventional disinfection approaches now face a series of challenges,including microbial resistance,corrosiveness,cytotoxicity,residual disinfection byproducts,and environmental pollution.Therefore,developing novel disinfection technologies specifically targeting biofilm removal is vitally important.New disinfection technologies,such as slightly acidic electrolyzed water,plasma technology,surface modification techniques,nanomaterial-based disinfection,bacteriophage disinfection,and enzymatic disinfection,are constantly emerging.These technologies exhibit excellent performance against biofilms by leveraging the synergistic effects of multiple mechanisms,including the reactive oxygen species(ROS)burst,photocatalytic oxidation,physical disruption,and biological targeting.This review summarizes the characteristics,underlying mechanisms,and potential application scenarios of these novel disinfection technologies,with a particular focus on their effects against biofilms formed by common pathogenic bacteria on surfaces in hospital settings.It aims to provide a reference basis for the practical application and translation of these disinfection technologies and the development of new disinfection strategies.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective:To analyze the clinical characteristics of frailty in elderly patients with chronic obstructive pulmonary disease (COPD).Methods:COPD patients aged ≥65 years registered in the RealDTC study from June 2023 to March 2024 were included. Demographic data, history of exacerbations in the past year, exposure to risk factors (smoking, biomass fuel exposure, occupational exposure), modified Medical Research Council (mMRC) dyspnea score, COPD Assessment Test (CAT) score, forced expiratory volume in the first second predicted of percentage (FEV 1%pred), forced expiratory volume in one second (FEV 1) to forced vital capacity (FVC), and comorbidities (bronchial asthma, bronchiectasis, pulmonary tuberculosis, cardiovascular disease, diabetes mellitus) were collected. According to Fried′s frailty phenotype, patients meeting any 3 of the 5 criteria were defined as frail and divided into a frailty group and a non-frailty group. Multivariate regression analysis was used to screen the related factors of frailty in elderly COPD patients, and the receiver operating characteristic (ROC) curve was used to calculate the area under the curve (AUC) of related factors for frailty assessment. Results:A total of 496 elderly COPD patients were included, of which 144(29.0%) had comorbid frailty. The frailty group had lower mass body index (BMI), FEV 1%pred, and FEV 1/FVC, higher mMRC and CAT scores, more exacerbations and hospitalizations in the past year (all P<0.001), and higher proportions of patients with junior high school education or below, Global Initiative for Chronic Obstructive Lung Disease (GOLD) group E, and GOLD grades 3 and 4 (all P<0.05). Multivariate regression analysis showed that low education level ( OR=2.117, 95% CI: 1.119-4.003), low BMI ( OR=0.927, 95% CI: 0.867-0.991), GOLD grade 4 ( OR=4.251, 95% CI: 1.477-12.235), high CAT score ( OR=1.174, 95% CI: 1.127-1.224), and high mMRC score ( OR=4.578, 95% CI: 3.364-6.231) were independent risk factors for frailty in elderly COPD patients (all P<0.05). The ROC curve showed that CAT score (AUC=0.78) and mMRC score (AUC=0.81) had the highest AUC for assessing frailty in elderly COPD patients. Conclusions:Elderly COPD patients with frailty have lower BMI, worse lung function, and more severe symptom burden. The results provide clinical reference for the management of frail elderly COPD patients.

Objective:To analyze the clinical characteristics of frailty in elderly patients with chronic obstructive pulmonary disease (COPD).Methods:COPD patients aged ≥65 years registered in the RealDTC study from June 2023 to March 2024 were included. Demographic data, history of exacerbations in the past year, exposure to risk factors (smoking, biomass fuel exposure, occupational exposure), modified Medical Research Council (mMRC) dyspnea score, COPD Assessment Test (CAT) score, forced expiratory volume in the first second predicted of percentage (FEV 1%pred), forced expiratory volume in one second (FEV 1) to forced vital capacity (FVC), and comorbidities (bronchial asthma, bronchiectasis, pulmonary tuberculosis, cardiovascular disease, diabetes mellitus) were collected. According to Fried′s frailty phenotype, patients meeting any 3 of the 5 criteria were defined as frail and divided into a frailty group and a non-frailty group. Multivariate regression analysis was used to screen the related factors of frailty in elderly COPD patients, and the receiver operating characteristic (ROC) curve was used to calculate the area under the curve (AUC) of related factors for frailty assessment. Results:A total of 496 elderly COPD patients were included, of which 144(29.0%) had comorbid frailty. The frailty group had lower mass body index (BMI), FEV 1%pred, and FEV 1/FVC, higher mMRC and CAT scores, more exacerbations and hospitalizations in the past year (all P<0.001), and higher proportions of patients with junior high school education or below, Global Initiative for Chronic Obstructive Lung Disease (GOLD) group E, and GOLD grades 3 and 4 (all P<0.05). Multivariate regression analysis showed that low education level ( OR=2.117, 95% CI: 1.119-4.003), low BMI ( OR=0.927, 95% CI: 0.867-0.991), GOLD grade 4 ( OR=4.251, 95% CI: 1.477-12.235), high CAT score ( OR=1.174, 95% CI: 1.127-1.224), and high mMRC score ( OR=4.578, 95% CI: 3.364-6.231) were independent risk factors for frailty in elderly COPD patients (all P<0.05). The ROC curve showed that CAT score (AUC=0.78) and mMRC score (AUC=0.81) had the highest AUC for assessing frailty in elderly COPD patients. Conclusions:Elderly COPD patients with frailty have lower BMI, worse lung function, and more severe symptom burden. The results provide clinical reference for the management of frail elderly COPD patients.