Atomically dispersed iron sites from eco-friendly microbial mycelium as highly efficient hydrogenation catalyst.

Iron, one of the most abundant elements on earth and an essential element for living organisms, plays a crucial role in our daily metabolism. In the field of catalysis, the development of high-performance catalysts based on less toxic iron element is also of significant importance for green chemistry and a sustainable future. To construct Fe-based heterogeneous catalysts with excellent hydrogenation performance, precise modulation of the atomic coordination structure is a key strategy for enhancing catalytic activity. In this study, we present an in-situ coating method for applying a zeolitic imidazolate framework (ZIF) onto the surface of fungal hyphae. The asymmetric coordination structure of Fe1-N3P1 was precisely tailored by utilizing the phosphorus source from the fungus and the nitrogen source in the ZIFs. Detailed characterizations and density functional theory calculations revealed that the incorporation of ZIFs not only increased the specific surface area of catalysts, but also facilitated the dispersion of Fe2P nanoparticles into the Fe1-N3P1 center, making the lowest reaction energy barrier and resulting in the best performance for nitrobenzene hydrogenation when compared to the Fe2P nanoparticles and clusters. This research introduces a novel design concept for constructing asymmetric monoatomic configuration based on the inherent characteristics of natural microorganisms and the exogenous porous coordination polymers.

A biomarker exploration in small-cell lung cancer for brain metastases risk and prophylactic cranial irradiation therapy efficacy.

BACKGROUND: Small-cell lung cancer (SCLC) is an aggressive malignancy with a poor prognosis. Limited-stage (LS)-SCLC comprises only one-third of SCLC cases, resulting in limited molecularly targeted therapies and treatment options. Despite advances in thoracic and cranial irradiation leading to improved outcomes, a notable proportion of patients develop brain metastasis (BM), highlighting the importance of identifying high-risk patients for tailored screening and treatment strategies. MATERIALS AND METHODS: We analyzed baseline tumor biopsies from 180 LS-SCLC patients who received frontline definitive chemoradiotherapy (dCRT) using a 474-gene pan-cancer panel. The cumulative incidence of BM was calculated with death scored as a competing risk. Independent prognostic factors for BM risk were identified using the Fine-Gray model. RESULTS: Alterations in the cell cycle pathway, particularly RB1 mutations, were more common in patients with BM, while FLT4 mutations were more frequent in those without BM (P=0.002 and P=0.021, respectively). Significant risk factors for BM include smoking (subdistribution hazard ratio [SHR]: 1.73; 95 % confidence interval [CI]: 1.11-2.70; P=0.016), RB1 mutations (SHR: 2.19; 95 % CI: 1.27-3.81; P=0.005), and BCL3 amplification (SHR: 2.27; 95 % CI: 1.09-4.71; P=0.028). Conversely, prophylactic cranial irradiation (PCI) (SHR: 0.39; 95 % CI: 0.25-1.60; P<0.001), FLT4 mutations (SHR: 0.26; 95 % CI: 0.07-0.98; P=0.047), and NOTCH pathway alterations (SHR: 0.65; 95 % CI: 0.43-1.00; P=0.049) were associated with a lower incidence of BM in LS-SCLC. Notably, consolidation PCI therapy did not reduce the BM risk in patients with baseline RB1 mutations, with BM occurrence probabilities of 34.7 % at 20 months and 62.6 % at 40 months. CONCLUSION: Our study yields valuable insights into the genetic characteristics of LS-SCLC patients with and without BM, aiding the development of personalized treatment strategies. Identifying risk factors associated with the incidence and timing of BM, within the standard regimen of dCRT followed by PCI, may help optimize clinical decision-making for LS-SCLC.

Prognostic biomarker tumor-infiltrating lymphocytes failed to serve as a predictive biomarker for postoperative radiotherapy in completely resected pN2 non-small cell lung cancer: a retrospective analysis.

BACKGROUND: Evidence suggests that radiotherapy is a potent immunomodulator in non-small cell lung cancer (NSCLC). Conversely, it has rarely been demonstrated if immune infiltration can influence radiotherapy efficacy. Herein, we explored the effect of tumor-infiltrating lymphocytes (TILs) on the response to postoperative radiotherapy (PORT) in completely resected stage III-pN2 NSCLC. METHODS: This retrospective study included 244 patients with pathologically confirmed stage III-N2 NSCLC who underwent complete resection at our institution between 2014 and 2020. TILs were assessed with permanent full-face hematoxylin and eosin (H&E) sections and the evaluation of TILs was based on a published guideline. Patients were stratified into the TILlow or TILhigh group with a cutoff value of 50%. Kaplan-Meier method and Log-rank test were utilized to assess disease-free survival (DFS) and overall survival (OS). Univariate and multivariate Cox regression analysis were conducted to determine prognostic indicators. RESULTS: Among 244 patients, a total of 121 patients received PORT whereas 123 did not. TILs level in patients with PORT was significantly higher than that in patients without PORT (p < 0.001). High TILs level was significantly associated with an improved DFS and OS in all the entire chort (DFS, p < 0.001; OS, p = 0.001), PORT chort (DFS, p = 0.003; OS, p = 0.011) and non-PORT chort (DFS, p < 0.001; OS, p = 0.034). There were no significant survival differences between different treatment modalities in the low TILs infiltration (DFS, p = 0.244; OS, p = 0.404) and high TILs infiltration (DFS, p = 0.167; OS, p = 0.958) groups. CONCLUSIONS: TILs evaluated with H&E sections could represent a prognostic biomarker in patients with completely resected pN2 NSCLC, and high TILs infiltration was associated with favorable survival outcomes.The predictive value of TILs for PORT still need to be further explored in the future.

Total meniscus replacement with a 3D printing of network hydrogel composite scaffold in a rabbit model.

PURPOSE: The aim of this study was to evaluate the role of a novel total meniscal implant in promoting meniscal regeneration and protecting articular cartilage in a rabbit model for 3 and 6 months. METHODS: Thirty-six New Zealand rabbits were selected and divided into poly(ɛ-caprolactone) (PG-Pg) scaffold group, meniscectomy group and sham group. In this study, it was investigated whether PG-Pg scaffold can prevent articular cartilage degeneration and promote tissue degeneration, and its mechanical properties at 3 and 6 months after surgery were also explored. RESULT: The degree of articular cartilage degeneration was significantly lower in the PG-Pg scaffold group than in the meniscectomy group. The number of chondrocytes increased in the PG-Pg scaffold at 3 and 6 months, while a gradual increase in the mechanical properties of the PG-Pg stent was observed from 6 months. CONCLUSION: The PG-Pg scaffold slows down the degeneration of articular cartilage, promotes tissue regeneration and improves biomechanical properties after meniscectomy. This novel meniscus scaffold holds promise for enhancing surgical strategies and delivering superior long-term results for individuals with severe meniscus tears. LEVEL OF EVIDENCE: NA.

Novel model integrating computed tomography-based image markers with genetic markers for discriminating radiation pneumonitis in patients with unresectable stage III non-small cell lung cancer receiving radiotherapy: a retrospective multi-center radiogenomics study.

BACKGROUND: Chemoradiotherapy is a critical treatment for patients with locally advanced and unresectable non-small cell lung cancer (NSCLC), and it is essential to identify high-risk patients as early as possible owing to the high incidence of radiation pneumonitis (RP). Increasing attention is being paid to the effects of endogenous factors for RP. This study aimed to investigate the value of computed tomography (CT)-based radiomics combined with genomics in analyzing the risk of grade ≥ 2 RP in unresectable stage III NSCLC. METHODS: In this retrospective multi-center observational study, 100 patients with unresectable stage III NSCLC who were treated with chemoradiotherapy were analyzed. Radiomics features of the entire lung were extracted from pre-radiotherapy CT images. The least absolute shrinkage and selection operator algorithm was used for optimal feature selection to calculate the Rad-score for predicting grade ≥ 2 RP. Genomic DNA was extracted from formalin-fixed paraffin-embedded pretreatment biopsy tissues. Univariate and multivariate logistic regression analyses were performed to identify predictors of RP for model development. The area under the receiver operating characteristic curve was used to evaluate the predictive capacity of the model. Statistical comparisons of the area under the curve values between different models were performed using the DeLong test. Calibration and decision curves were used to demonstrate discriminatory and clinical benefit ratios, respectively. RESULTS: The Rad-score was constructed from nine radiomic features to predict grade ≥ 2 RP. Multivariate analysis demonstrated that histology, Rad-score, and XRCC1 (rs25487) allele mutation were independent high-risk factors correlated with RP. The area under the curve of the integrated model combining clinical factors, radiomics, and genomics was significantly higher than that of any single model (0.827 versus 0.594, 0.738, or 0.641). Calibration and decision curve analyses confirmed the satisfactory clinical feasibility and utility of the nomogram. CONCLUSION: Histology, Rad-score, and XRCC1 (rs25487) allele mutation could predict grade ≥ 2 RP in patients with locally advanced unresectable NSCLC after chemoradiotherapy, and the integrated model combining clinical factors, radiomics, and genomics demonstrated the best predictive efficacy.

Updates on the study of lysosomal protein dynamics: possibilities for the clinic.

INTRODUCTION: The lysosome is the main degradative organelle of almost all mammalian cells, fulfilling important functions in macromolecule recycling, metabolism, and signaling. Lysosomal dysfunction is connected to a continuously growing number of pathologic conditions, and lysosomal proteins present potential biomarkers for a variety of diseases. Therefore, there is an increasing interest in their analysis in patient samples. AREAS COVERED: We provide an overview of OMICs studies which identified lysosomal proteins as potential biomarkers for pathological conditions, covering proteomics, genomics, and transcriptomics approaches, identified through PubMed searches. With respect to discovery proteomics analyses, mainly lysosomal luminal and associated proteins were detected, while membrane proteins were found less frequently. Comprehensive coverage of the lysosomal proteome was only achieved by ultra-deep-coverage studies, but targeted approaches allowed for the reproducible quantification of lysosomal proteins in diverse sample types. EXPERT OPINION: The low abundance of lysosomal proteins complicates their reproducible analysis in patient samples. Whole proteome shotgun analyses fail in many instances to cover the lysosomal proteome, which is due to under-sampling and/or a lack of sensitivity. With the current state of the art, targeted proteomics assays provide the best performance for the characterization of lysosomal proteins in patient samples.