Intelligent response micelles with high andrographolide loading for the effective treatment of atherosclerosis.

Atherosclerosis (AS) is a chronic inflammatory disease which associated with a maladaptive immune response driven by macrophages. In the development of AS, macrophages have gradually become new therapeutic targets due to their involvement in numerous inflammatory-related pathological processes in AS. However, despite significant breakthroughs in the development of macrophages targeting nanocarriers, unsatisfactory drug loading, and inexact drug release limited the development of nano-therapy. Therefore, developing a high drug-loading nanocarrier that can accurately release drugs at AS lesions is quite essential. Herein, we optimized double moieties coupled mPEG-PLA copolymer micelles via phenylboronic acid (PBA)-terminated on the hydrophobic chain and cRGD coupled in hydrophilic chain to enhance AS therapy. The micelles loaded with andrographolide (AND) exhibited advanced drug loading capacity, as PBA could form a reversible boronic ester with AND at physiological pH. The cRGD-modified AND-loaded micelles (RPPPA) could be efficaciously internalized by macrophages and efficiently prevent macrophages from differentiating to foam cells. After intravenous administration, RPPPA could accumulate in plaques and exert therapeutic effects. The optimistic therapeutic results of atherosclerosis were shown in RPPPA, included the fewer plaques, a smaller necrotic core, a more stabilized fibrous cap, and lower macrophages and MMP-9, compared with the control group. To sum up, the proposed encouraging therapy can contribute to high drug loading, exact target, and precise drug release as well as reduce inflammation for AS treatment.

Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study using the updated Consolidated Framework for Implementation Research.

OBJECTIVES: To identify the barriers and facilitators to the successful implementation of imaging-based diagnostic artificial intelligence (AI)-assisted decision-making software in China, using the updated Consolidated Framework for Implementation Research (CFIR) as a theoretical basis to develop strategies that promote effective implementation. DESIGN: This qualitative study involved semistructured interviews with key stakeholders from both clinical settings and industry. Interview guide development, coding, analysis and reporting of findings were thoroughly informed by the updated CFIR. SETTING: Four healthcare institutions in Beijing and Shanghai and two vendors of AI-assisted decision-making software for lung nodules detection and diabetic retinopathy screening were selected based on purposive sampling. PARTICIPANTS: A total of 23 healthcare practitioners, 6 hospital informatics specialists, 4 hospital administrators and 7 vendors of the selected AI-assisted decision-making software were included in the study. RESULTS: Within the 5 CFIR domains, 10 constructs were identified as barriers, 8 as facilitators and 3 as both barriers and facilitators. Major barriers included unsatisfactory clinical performance (Innovation); lack of collaborative network between primary and tertiary hospitals, lack of information security measures and certification (outer setting); suboptimal data quality, misalignment between software functions and goals of healthcare institutions (inner setting); unmet clinical needs (individuals). Key facilitators were strong empirical evidence of effectiveness, improved clinical efficiency (innovation); national guidelines related to AI, deployment of AI software in peer hospitals (outer setting); integration of AI software into existing hospital systems (inner setting) and involvement of clinicians (implementation process). CONCLUSIONS: The study findings contributed to the ongoing exploration of AI integration in healthcare from the perspective of China, emphasising the need for a comprehensive approach considering both innovation-specific factors and the broader organisational and contextual dynamics. As China and other developing countries continue to advance in adopting AI technologies, the derived insights could further inform healthcare practitioners, industry stakeholders and policy-makers, guiding policies and practices that promote the successful implementation of imaging-based diagnostic AI-assisted decision-making software in healthcare for optimal patient care.

Causal Relationship Between Gut Microbiota and Chronic Obstructive Pulmonary Disease: A Bidirectional Two-Sample Mendelian Randomization Study.

Background: The associations between gut microbiota and chronic obstructive pulmonary disease (COPD) have gained increasing attention and research interest among scholars. However, it remains unclear whether gut microbiota serves as a causal factor for COPD or if it is a consequence of the disease. Therefore, we investigated the causal relationship between COPD and gut microbiota, with intention of providing novel insights and references for clinical diagnosis and treatment. Methods: Based on the genome-wide association study (GWAS) data, we employed MR-Egger regression, random-effects inverse variance-weighted (IVW) method, and weighted median method for bidirectional Mendelian randomization (MR) analysis. We conducted Cochran's Q test for heterogeneity assessment and performed multivariable analysis, sensitivity analysis, and heterogeneity testing to validate the reliability and stability of results. Results: Utilizing MR analysis, mainly employing the IVW method, we detected a collective of 11 gut microbiota species that exhibited associations with COPD. Among them, Bacteroidia, family XIII, Clostridium innocuum group, Barnesiella, Collinsella, Lachnospiraceae NK4A136 group, Lachnospiraceae UCG004, Lachnospiraceae UCG010, and Bacteroidales were found to be protective factors for COPD. On the other hand, Holdemanella and Marvinbryantia were identified as risk factors for COPD. Individuals with elevated levels of Holdemanella exhibited a 1.141-fold higher risk of developing COPD compared to their healthy counterparts, and those with increased levels of Marvinbryantia had a 1.154-fold higher risk. Reverse MR analysis yielded no evidence indicating a causal relationship between gut microbiota and COPD occurrence. Conclusion: Our study established a causal link between 11 specific gut microbiota species and COPD, offering novel insights and valuable references for targeted therapies in the clinical management of COPD. However, our results were mainly based on the analysis of database, and further clinical studies are needed to clarify the effects of gut microbiota on COPD and its specific protective mechanism.

Translational evaluation of metabolic risk factors impacting DBS efficacy for PD-Related sleep and depressive disorders: preclinical, prospective and cohort studies.

BACKGROUND: Parkinson's disease (PD) is linked with metabolic risk factors including body mass index (BMI), fasting blood glucose (FBG), cholesterol levels, and triglycerides (TG). The extent to which these factors affect motor symptoms, depression, and sleep problems in PD, as well as their role in determining the success of deep brain stimulation (DBS) therapy, is yet to be fully understood. METHODS: This study delved into the effects of metabolic risk factors like BMI, FBG, cholesterol, and TG on the outcomes of DBS in treating PD-related depression and sleep disturbances, across both mouse models and human subjects. RESULTS: DBS showcased noticeable betterment in depression and sleep perturbations in both PD-afflicted mice and patients. High-sugar-high-fat diet aggravates MPTP-induced depression and sleep disorders in mice. PD-afflicted individuals presenting with depressive and sleep disorders demonstrated elevated metrics of BMI, FBG, blood cholesterol, and TG. Remarkably, these metrics bore considerable adverse influences on the efficiency of DBS in ameliorating depression and sleep issues, yet spared motor symptoms. The favorable impacts of DBS persisted for approximately 6 years, post which a significant decline was noted. Importantly, our translational evidence from both murine controls and patient cohorts indicated that antihyperglycemic and antihyperlipidemic therapies bolstered the efficacy of DBS in mitigating PD-related depression and sleep disturbances, without impinging upon motor functions in patients. CONCLUSION: In summary, this research emphasizes that DBS is a powerful treatment option for depression and sleep issues in PD, with its success influenced by metabolic risk factors. It further suggests that incorporating treatments for high blood sugar and cholesterol can enhance the efficacy of DBS in treating depression and sleep disturbances in PD, without impacting motor symptoms, highlighting the importance of metabolic risk management in PD patients receiving DBS.

A nomoscore of four genes for predicting the rupture risk in abdominal aortic aneurysm patients with osteoarthritis.

BACKGROUND: Abdominal aortic aneurysm (AAA) represents one of the most life-threatening cardiovascular diseases and is increasingly becoming a significant global public health concern. The aneurysms-osteoarthritis syndrome (AOS) has gained recognition, as patients with this syndrome often exhibit early-stage osteoarthritis (OA) and have a substantially increased risk of rupture, even with mild dilation of the aneurysm. The aim of this study was to discover potential biomarkers that can predict the occurrence of AAA rupture in patients with OA. METHODS: Two gene expression profile datasets (GSE98278, GSE51588) and two single-cell RNA-seq datasets (GSE164678, GSE152583) were obtained from the GEO database. Functional enrichment analysis, PPI network construction, and machine learning algorithms, including LASSO, Random Forest, and SVM-RFE, were utilized to identify hub genes. In addition, a nomogram and ROC curves were generated to predict the risk of rupture in patients with AAA. Moreover, we analyzed the immune cell infiltration in the AAA tissue microenvironment by CIBERSORT and validated key gene expression in different macrophage subtypes through single-cell analysis. RESULTS: A total of 105 intersecting DEGs that showed consistent changes between rAAA and OA dataset were identified. From these DEGs, four hub genes (PAK1, FCGR1B, LOX and PDPN) were selected by machine learning. High predictive performance was observed for the nomogram based on these hub genes, with an AUC of 0.975 (95 % CI: 0.942-1.000). Abnormal immune cell infiltration was detected in rAAA and correlated significantly with the hub genes. Ruptured AAA cases exhibited higher nomoscore values and lower M2 macrophage infiltration compared to stable AAA. Validation in animal models (PPE+BAPN-induced rAAA) confirmed the significant role of these biomarkers in AAA pathology. CONCLUSION: The present study successfully identified four potential hub genes (PAK1, FCGR1B, LOX and PDPN) and developed a robust predictive nomogram to assess the risk of AAA rupture. The findings also shed light on the connection between hub genes and immune cell components in the microenvironment of rAAA. These findings support future research on key genes in AAA patients with OA, providing insights for novel management strategies for AAA.

The traditional Chinese medicine Qiliqiangxin in heart failure with reduced ejection fraction: a randomized, double-blind, placebo-controlled trial.

Previous findings have indicated the potential benefits of the Chinese traditional medicine Qiliqiangxin (QLQX) in heart failure. Here we performed a double-blind, randomized controlled trial to evaluate the efficacy and safety of QLQX in patients with heart failure and reduced ejection fraction (HFrEF). This multicenter trial, conducted in 133 hospitals in China, enrolled 3,110 patients with HFrEF with NT-proBNP levels of ≥450 pg ml-1 and left ventricular ejection fraction of ≤40%. Participants were randomized to receive either QLQX capsules or placebo (four capsules three times daily) alongside standard heart failure therapy. The trial met its primary outcome, which was a composite of hospitalization for heart failure and cardiovascular death: over a median follow-up of 18.3 months, the primary outcome occurred in 389 patients (25.02%) in the QLQX group and 467 patients (30.03%) in the placebo group (hazard ratio (HR), 0.78; 95% confidence interval (CI), 0.68-0.90; P < 0.001). In an analysis of secondary outcomes, the QLQX group showed reductions in both hospitalization for heart failure (15.63% versus 19.16%; HR, 0.76; 95% CI, 0.64-0.90; P = 0.002) and cardiovascular death (13.31% versus 15.95%; HR, 0.83; 95% CI, 0.68-0.996; P = 0.045) compared to the placebo group. All-cause mortality did not differ significantly between the two groups (HR, 0.84; 95% CI, 0.70-1.01; P = 0.058) and adverse events were also comparable between the groups. The results of this trial indicate that QLQX may improve clinical outcomes in patients with HFrEF when added to conventional therapy. ChiCTR registration: ChiCTR1900021929 .

Lindqvist-type Polyoxometalates Act as Anti-breast Cancer Drugs via Mitophagy-induced Apoptosis.

OBJECTIVE: Lindqvist-type polyoxometalates (POMs) exhibit potential antitumor activities. This study aimed to examine the effects of Lindqvist-type POMs against breast cancer and the underlying mechanism. METHODS: Using different cancer cell lines, the present study evaluated the antitumor activities of POM analogues that were modified at the body skeleton based on molybdenum-vanadium-centered negative oxygen ion polycondensations with different side strains. Cell colony formation assay, autophagy detection, mitochondrial observation, qRT-PCR, Western blotting, and animal model were used to evaluate the antitumor activities of POMs against breast cancer cells and the related mechanism. RESULTS: MO-4, a Lindqvist-type POM linking a proline at its side strain, was selected for subsequent experiments due to its low half maximal inhibitory concentration in the inhibition of proliferation of breast cancer cells. It was found that MO-4 induced the apoptosis of multiple types of breast cancer cells. Mechanistically, MO-4 activated intracellular mitophagy by elevating mitochondrial reactive oxygen species (ROS) levels and resulting in apoptosis. In vivo, breast tumor growth and distant metastasis were significantly reduced following MO-4 treatment. CONCLUSION: Collectively, the results of the present study demonstrated that the novel Lindqvist-type POM MO-4 may exhibit potential in the treatment of breast cancer.

Atrial tachyarrhythmia prevention by Shensong Yangxin after catheter ablation for persistent atrial fibrillation: the SS-AFRF trial.

BACKGROUND AND AIMS: Despite advances in technology and techniques, the recurrence rate of persistent atrial fibrillation (AF) following catheter ablation remains high. The Shensong Yangxin (SSYX) capsule, a renowned traditional Chinese medicine formula, is used in the treatment of cardiac arrhythmias. This trial aimed to investigate whether the SSYX can improve clinical outcomes in patients who have undergone catheter ablation for persistent AF. METHODS: A multi-centre, randomized, double-blind, placebo-controlled clinical trial was conducted at 66 centres in China among 920 patients with persistent AF undergoing first ablation. Participants were randomized to oral SSYX, 1.6 g (.4 g/granule) thrice daily (n = 460), or matched placebo (n = 460) for 12 months. The primary endpoint was recurrent atrial tachyarrhythmias lasting for ≥30 s following a blanking period of 3 months. Secondary endpoints included time to first documented atrial tachyarrhythmias, AF burden, cardioversion, stroke/systemic embolism, changes in echocardiographic parameters, and quality-of-life (QoL) score. Analyses were performed according to the intention-to-treat principle. RESULTS: A total of 920 patients underwent randomization (460 assigned to SSYX group and 460 assigned to placebo group). During the follow-up of 12 months, patients assigned to SSYX had a higher event-free rate from recurrent atrial tachyarrhythmias when compared with the placebo group (12-month Kaplan-Meier event-free rate estimates, 85.5% and 77.7%, respectively; hazard ratio, .6; 95% confidence interval .4-.8; P = .001). Patients assigned to receive SSYX had a better QoL score at 12 months compared to those randomized to placebo. There was no significant difference in the incidence of serious adverse events between the two groups. CONCLUSIONS: Treatment with SSYX following radiofrequency catheter ablation for persistent AF reduced the incidence of recurrent atrial tachyarrhythmias and led to clinically significant improvements in QoL during a 12-month follow-up in a Chinese population.

SHISA3 Reprograms Tumor-Associated Macrophages Toward an Antitumoral Phenotype and Enhances Cancer Immunotherapy.

The main challenge for immune checkpoint blockade (ICB) therapy lies in immunosuppressive tumor microenvironment (TME). Repolarizing M2-like tumor-associated macrophages (TAMs) into inflammatory M1 phenotype is a promising strategy for cancer immunotherapy. Here, this study shows that the tumor suppressive protein SHISA3 regulates the antitumor functions of TAMs. Local delivery of mRNA encoding Shisa3 enables cancer immunotherapy by reprogramming TAMs toward an antitumoral phenotype, thus enhancing the efficacy of programmed cell death 1 (PD-1) antibody. Enforced expression of Shisa3 in TAMs increases their phagocytosis and antigen presentation abilities and promotes CD8+ T cell-mediated antitumor immunity. The expression of SHISA3 is induced by damage/pathogen-associated molecular patterns (DAMPs/PAMPs) in macrophages via nuclear factor-κB (NF-κB) transcription factors. Reciprocally, SHISA3 forms a complex with heat shock protein family A member 8 (HSPA8) to activate NF-κB signaling thus maintaining M1 polarization of macrophages. Knockout Shisa3 largely abolishes the antitumor efficacy of combination immunotherapy with Toll-like receptor 4 (TLR4) agonist monophosphoryl lipid A (MPLA) and PD-1 antibody. It further found that higher expression of SHISA3 in antitumoral TAMs is associated with better overall survival in lung cancer patients. Taken together, the findings describe the role of SHISA3 in reprogramming TAMs that ameliorate cancer immunotherapy.

Cyclophilin J limits linear ubiquitin signaling and controls colorectal cancer progression.

Exorbitant sustained inflammation is closely linked to inflammation-associated disorders, including cancer. The initiation of gastrointestinal cancers such as colorectal cancer is frequently accelerated by uncontrollable chronic inflammation which is triggered by excessive activation of nuclear factor kappa-B (NF-κB) signaling. Linear ubiquitin chains play an important role in activating canonical NF-κB pathway. The only known E3 complex, linear ubiquitin chain assembly complex is responsible for the synthesis of linear ubiquitin chains, thus leading to the activation of NF-κB axis and promoting the development of inflammation and inflammation-associated cancers. We report here cyclophilin J (CYPJ) which is a negative regulator of the linear ubiquitin chain assembly complex. The N terminus of CYPJ binds to the second Npl4 zinc finger (NZF) domain of HOIL-1-interacting protein and the ubiquitin-like domain of Shank-associated RH domain-interacting protein to disrupt the interaction between HOIL-1-interacting protein and Shank-associated RH domain-interacting protein and thus restrains linear ubiquitin chain synthesis and NF-κB activation. Cypj-deficient mice are highly susceptible to dextran sulfate sodium-induced colitis and dextran sulfate sodium plus azoxymethane-induced colon cancer. Moreover, CYPJ expression is induced by hypoxia. Patients with high expression of both CYPJ and hypoxia-inducible factor-1α have longer overall survival and progression-free survival. These results implicate CYPJ as an unexpected robust attenuator of inflammation-driven tumorigenesis that exerts its effects by controlling linear ubiquitin chain synthesis in NF-κB signal pathway.

Detection of Endoleak after Endovascular Aortic Repair through Deep Learning Based on Non-contrast CT.

OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic repair (EVAR) endoleak from non-contrast CT. METHODS: This retrospective study involved 245 patients who underwent EVAR between September 2016 and December 2022. All patients underwent both non-enhanced and enhanced follow-up CT. The presence of endoleak was evaluated based on computed tomography angiography (CTA) and radiology reports. First, the aneurysm sac was segmented, and radiomic features were extracted on non-contrast CT. Statistical analysis was conducted to investigate differences in shape and density characteristics between aneurysm sacs with and without endoleak. Subsequently, a deep learning model was trained to generate predicted segmentation of the endoleak. A binary decision was made based on whether the model produced a segmentation to detect the presence of endoleak. The absence of a predicted segmentation indicated no endoleak, while the presence of a predicted segmentation indicated endoleak. Finally, the performance of the model was evaluated by comparing the predicted segmentation with the reference segmentation obtained from CTA. Model performance was assessed using metrics such as dice similarity coefficient, sensitivity, specificity, and the area under the curve (AUC). RESULTS: This study finally included 85 patients with endoleak and 82 patients without endoleak. Compared to patients without endoleak, patients with endoleak had higher CT values and greater dispersion. The AUC in validation group was 0.951, dice similarity coefficient was 0.814, sensitivity was 0.877, and specificity was 0.884. CONCLUSION: This deep learning model based on non-contrast CT can detect endoleak after EVAR with high sensitivity.

Perioperative Evaluation and Follow-Up Analysis of Carotid Body Tumor by Color Doppler Ultrasound.

BACKGROUND: The value of color doppler ultrasound (CDU) for perioperative evaluation and follow-up outcomes of carotid body tumor (CBT) remains elusive. This study aimed to investigate the role of CDU in CBT in our center. METHODS: From January 2015 to December 2020, 75, patients with CBT were included in the study. Computed tomography angiography (CTA) and CDU data of patients were collected and analyzed. The postoperative recovery and follow-up outcomes were summarized. RESULTS: A total of 91 CBTs in 75 patients were included in the study. 73.3% of the patients had unilateral lesions, while 26.7% had bilateral lesions. Lesions were categorized as Shamblin I (4.4%), Shamblin II (52.7%), and Shamblin III (42.9%). 79.5% lesions were treated by surgical resection, 12.3% were treated by surgical resection with internal carotid artery reconstructed by artificial vessel, while 8.2% were treated by surgical resection with internal carotid artery reconstructed by autogenous great saphenous vein. Compared with CTA, the sensitivity of CDU for the detection of CBT was 96.7%, the sensitivity and specificity of CDU for the detection of Shamblin I lesions were both 100%, the sensitivity and specificity for Shamblin II were 100% and 72.1%, respectively, while the sensitivity and specificity for Shamblin III were 69.2% and 100%, respectively. There were no statistically significant differences between CTA and CDU for the detection of the maximal diameter, volume of CBT, distance between the end of the tumor, and the mastoid process. 79.7% of the patients were followed up with CDU. The eecurrence of CBT occurred in 1 patient. CDU showed that stenosis and occlusion of artificial vessel occurred in 1 and 6 patients, respectively. The occlusion of autogenous great saphenous vein was found in 2 cases. CONCLUSIONS: CDU can accurately diagnose Shamblin I CBT, have high sensitivity for Shamblin II, and high specificity for Shamblin III CBT. It plays an important role in diagnosis, perioperative evaluation, and follow-up analysis of CBT.

NRF2-dependent regulation of the prostacyclin receptor PTGIR drives CD8 T cell exhaustion.

The progressive decline of CD8 T cell effector function-also known as terminal exhaustion-is a major contributor to immune evasion in cancer. Yet, the molecular mechanisms that drive CD8 T cell dysfunction remain poorly understood. Here, we report that the Kelch-like ECH-associated protein 1 (KEAP1)-Nuclear factor erythroid 2-related factor 2 (NRF2) signaling axis, which mediates cellular adaptations to oxidative stress, directly regulates CD8 T cell exhaustion. Transcriptional profiling of dysfunctional CD8 T cells from chronic infection and cancer reveals enrichment of NRF2 activity in terminally exhausted (Texterm) CD8 T cells. Increasing NRF2 activity in CD8 T cells (via conditional deletion of KEAP1) promotes increased glutathione production and antioxidant defense yet accelerates the development of terminally exhausted (PD-1+TIM-3+) CD8 T cells in response to chronic infection or tumor challenge. Mechanistically, we identify PTGIR, a receptor for the circulating eicosanoid prostacyclin, as an NRF2-regulated protein that promotes CD8 T cell dysfunction. Silencing PTGIR expression restores the anti-tumor function of KEAP1-deficient T cells. Moreover, lowering PTGIR expression in CD8 T cells both reduces terminal exhaustion and enhances T cell effector responses (i.e. IFN-γ and granzyme production) to chronic infection and cancer. Together, these results establish the KEAP1-NRF2 axis as a metabolic sensor linking oxidative stress to CD8 T cell dysfunction and identify the prostacyclin receptor PTGIR as an NRF2-regulated immune checkpoint that regulates CD8 T cell fate decisions between effector and exhausted states.

Photothermal Temperature-Modulated Cancer Metastasis Harnessed Using Proteinase-Triggered Assembly of Near-Infrared II Photoacoustic/Photothermal Nanotheranostics.

Here we demonstrate that cancer metastasis could be modulated by the judicious tuning of physical parameters such as photothermal temperature in nanoparticle-mediated photothermal therapy (PTT). This is supported by theranostic nanosystem design and characterization, in vitro and in vivo analyses, and transcriptome-based gene profiling. In this work, the highly efficient near-infrared II (NIR-II) photoacoustic image (PA)-guided PTT are selectively activated using our developed matrix metalloproteinase (MMP)-triggered in situ assembly of gold nanodandelions (GNDs@gelatin). Unlike other "always-on" NIR PTT agents lacking specific bioactivation and suffering from the intrinsic nonspecific pseudosignals and treatment-related side effects such as metastasis, our GNDs@gelatin possesses important advantages while deployed in cancer PTT that include the following: (1) The theranostic effects could be "turned on" only after specific MMP-2/-9 activity and with acidity in the tumor microenvironment. (2) The quantitative PA diagnosis allows for precise PTT planning for better cancer treatment. (3) GNDs@gelatin could noninvasively quantify MMP activity and efficiently harness NIR-I (808 nm) and NIR-II (1064 nm) energies for tumor ablation. (4) The multibranched nanostructures reabsorb scattered laser photons, thus enhancing the surface plasmons for the pronounced photothermal conversion of aggregated GNDs@gelatin in situ. (5) It is noteworthy that in situ tumor eradication at higher PTT temperature (>55 °C) mediated by GNDs@gelatin could induce subsequent metastasis, which could be otherwise abolished at lower PTT temperatures (50 °C > T > 43 °C). (6) Furthermore, the gene profiling using transcriptome-based microarray including GO and KEGG analyses revealed that 315 differentially expressed genes were identified in higher PTT temperature treated tumors compared with lower PTT temperature ones. These were enriched into some well-known cancer-related pathways, such as cell migration pathway, signal transductions, cell proliferation, wound healing, PPAR signaling, and metabolic pathways. These observations suggest a new perspective of "moderate-is-better" in nanoparticle-mediated PTT for maximizing its therapeutic/prognosis benefits and translational potential with metastasis inhibition.

LncRNA H19/miR-107 regulates endothelial progenitor cell pyroptosis and promotes flow recovery of lower extremity ischemia through targeting FADD.

BACKGROUND: Peripheral artery disease (PAD) is an ischemic disease with a rising incidence worldwide. The lncRNA H19 (H19) is enriched in endothelial progenitor cells (EPCs), and transplantation of pyroptosis-resistant H19-overexpressed EPCs (oe-H19-EPCs) may promote vasculogenesis and blood flow recovery in PAD, especially with critical limb ischemia (CLI). METHODS: EPCs isolated from human peripheral blood was characterized using immunofluorescence and flow cytometry. Cell proliferation was determined with CCK8 and EdU assays. Cell migration was assessed by Transwell and wound healing assays. The angiogenic potential was evaluated using tube formation assay. The pyroptosis pathway-related protein in EPCs was detected by western blot. The binding sites of H19 and FADD on miR-107 were analyzed using Luciferase assays. In vivo, oe-H19-EPCs were transplanted into a mouse ischemic limb model, and blood flow was detected by laser Doppler imaging. The transcriptional landscape behind the therapeutic effects of oe-H19-EPCs on ischemic limbs were examined with whole transcriptome sequencing. RESULTS: Overexpression of H19 in EPCs led to an increase in proliferation, migration, and tube formation abilities. These effects were mediated through pyroptosis pathway, which is regulated by the H19/miR-107/FADD axis. Transplantation of oe-H19-EPCs in a mouse ischemic limb model promoted vasculogenesis and blood flow recovery. Whole transcriptome sequencing indicated significant activation of vasculogenesis pathway in the ischemic limbs following treatment with oe-H19-EPCs. CONCLUSIONS: Overexpression of H19 increases FADD level by competitively binding to miR-107, leading to enhanced proliferation, migration, vasculogenesis, and inhibition of pyroptosis in EPCs. These effects ultimately promote the recovery of blood flow in CLI.

Jinlida for Diabetes Prevention in Impaired Glucose Tolerance and Multiple Metabolic Abnormalities: The FOCUS Randomized Clinical Trial.

Importance: Previous studies have shown that Jinlida (JLD) granules, an approved treatment for type 2 diabetes in China, can reduce blood glucose level, reduce glycated hemoglobin (HbA1c), and improve insulin resistance in people with type 2 diabetes. Objective: To evaluate the effect of long-term administration of JLD vs placebo on the incidence of diabetes in participants with impaired glucose tolerance (IGT) and multiple metabolic abnormalities. Design, Setting, and Participants: This multicenter, double-blind, placebo-controlled randomized clinical trial (FOCUS) was conducted across 35 centers in 21 cities in China from June 2019 to February 2023. Individuals aged 18 to 70 years with IGT and multiple metabolic abnormalities were enrolled. Intervention: Participants were randomly allocated 1:1 to receive JLD or placebo (9 g, 3 times per day, orally). They continued this regimen until they developed diabetes, withdrew from the study, were lost to follow-up, or died. Main Outcomes and Measures: The primary outcome was the occurrence of diabetes, which was determined by 2 consecutive oral glucose tolerance tests. Secondary outcomes included waist circumference; fasting and 2-hour postprandial plasma glucose levels; HbA1c; fasting insulin level; homeostatic model assessment for insulin resistance (HOMA-IR); total cholesterol, low-density lipoprotein cholesterol, and triglyceride levels; ankle-brachial index; and carotid intima-media thickness. Results: A total of 889 participants were randomized, of whom 885 were in the full analysis set (442 in the JLD group; 443 in the placebo group; mean [SD] age, 52.57 [10.33] years; 463 [52.32%] female). Following a median observation period of 2.20 years (IQR, 1.27-2.64 years), participants in the JLD group had a lower risk of developing diabetes compared with those in the placebo group (hazard ratio, 0.59; 95% CI, 0.46-0.74; P < .001). During the follow-up period, the JLD group had a between-group difference of 0.95 cm (95% CI, 0.36-1.55 cm) in waist circumference, 9.2 mg/dL (95% CI, 5.4-13.0 mg/dL) in 2-hour postprandial blood glucose level, 3.8 mg/dL (95% CI, 2.2-5.6 mg/dL) in fasting blood glucose level, 0.20% (95% CI, 0.13%-0.27%) in HbA1c, 6.6 mg/dL (95% CI, 1.9-11.2) in total cholesterol level, 4.3 mg/dL (95% CI, 0.8-7.7 mg/dL) in low-density lipoprotein cholesterol level, 25.7 mg/dL (95% CI, 15.9-35.4 mg/dL) in triglyceride levels, and 0.47 (95% CI, 0.12-0.83) in HOMA-IR compared with the placebo group. After 24 months of follow-up, the JLD group had a significant improvement in ankle-brachial index and waist circumference compared with the placebo group. Conclusions and Relevance: The findings suggest that JLD can reduce the risk of diabetes in participants with IGT and multiple metabolic abnormalities. Trial Registration: Chinese Clinical Trial Register: ChiCTR1900023241.