Biomimetic Metal-Organic Framework Gated Nanoplatform for Sonodynamic Therapy against Extensively Drug Resistant Bacterial Lung Infection.

Novel antimicrobial strategies are urgently needed to treat extensively drug-resistant (XDR) bacterial infections due to the high mortality rate and lack of effective therapeutic agents. Herein, nanoengineered human umbilical cord mesenchymal stem cells (hUC-MSCs), named PMZMU, are designed as a sonosensitizer for synergistic sonodynamic-nano-antimicrobial therapy against gram-negative XDR bacteria. PMZMU is composed of a bacterial targeting peptide (UBI29-41) modified hUC-MSCs membrane (MSCm), a sonosensitizer meso-tetra(4-car-boxyphenyl) porphine doped mesoporous organo-silica nanoparticle and an acidity-responsive metal-organic framework ZIF-8. This innovative formulation enables efficient loading of polymyxin B, reduces off-target drug release, increases circulation and targeting efficacy, and generates reactive oxygen species upon ultrasound irradiation. PMZMU exhibits remarkable in vitro inhibitory activity against four XDR bacteria: Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa (PA), and Escherichia coli. Taking advantage of the bacterial targeting ability of UBI29-41 and the inflammatory chemotaxis of hUC-MSC, PMZMU can be precisely delivered to lung infection sites thereby augmenting polymyxin B concentration. PMZMU-mediated sonodynamic therapy significantly reduces bacterial burden, relieves inflammatory damage by promoting the polarization of macrophages toward M2 phenotype, and improves survival rates without introducing adverse events. Overall, this study offers promising strategies for treating deep-tissue XDR bacterial infections, and guides the design and optimization of biomimetic nanomedicine.

Comprehensive pan-cancer analysis of mitochondrial outer membrane permeabilisation activity reveals positive immunomodulation and assists in identifying potential therapeutic targets for immunotherapy resistance.

BACKGROUND: Mitochondrial outer membrane permeabilisation (MOMP) plays a pivotal role in cellular death and immune activation. A deeper understanding of the impact of tumour MOMP on immunity will aid in guiding more effective immunotherapeutic strategies. METHODS: A comprehensive pan-cancer dataset comprising 30 cancer-type transcriptomic cohorts, 20 immunotherapy transcriptomic cohorts and three immunotherapy scRNA-seq datasets was collected and analysed to determine the influence of tumour MOMP activity on clinical prognosis, immune infiltration and immunotherapy effectiveness. Leveraging 65 scRNA-Seq datasets, the MOMP signature (MOMP.Sig) was developed to accurately reflect tumour MOMP activity. The clinical predictive value of MOMP.Sig was explored through machine learning models. Integration of the MOMP.Sig model and a pan-cancer immunotherapy CRISPR screen further investigated potential targets to overcome immunotherapy resistance, which subsequently underwent clinical validation. RESULTS: Our research revealed that elevated MOMP activity reduces mortality risk in cancer patients, drives the formation of an anti-tumour immune environment and enhances the response to immunotherapy. This finding emphasises the potential clinical application value of MOMP activity in immunotherapy. MOMP.Sig, offering a more precise indicator of tumour cell MOMP activity, demonstrated outstanding predictive efficacy in machine-learning models. Moreover, with the assistance of the MOMP.Sig model, FOXO1 was identified as a core modulator that promotes immune resistance. Finally, these findings were successfully validated in clinical immunotherapy cohorts of skin cutaneous melanoma and triple-negative breast cancer patients. CONCLUSIONS: This study enhances our understanding of MOMP activity in immune modulation, providing valuable insights for more effective immunotherapeutic strategies across diverse tumours.

Experimental recognition of vortex beams in oceanic turbulence combining the Gerchberg-Saxton algorithm and convolutional neural network.

In underwater wireless optical communication (UWOC), vortex beams carrying orbital angular momentum (OAM) can improve channel capacity but are vulnerable to oceanic turbulence (OT), leading to recognition errors. To mitigate this issue, we propose what we believe to be a novel method that combines the Gerchberg-Saxton (GS) algorithm-based recovery with convolutional neural network (CNN)-based recognition (GS-CNN). Our experimental results demonstrate that superposed Laguerre-Gaussian (LG) beams with small topological charge are ideal information carriers, and the GS-CNN remains effective even when OT strength C n2 is high up to 10-11 K 2 m -2/3. Furthermore, we use 16 kinds of LG beams to transmit a 256-grayscale digital image, giving rise to an increase in recognition accuracy from 0.75 to 0.93 and a decrease in bit error ratio from 3.98×10-2 to 6.52×10-3 compared to using the CNN alone.

Clinical Study of a Q-Switched Neodymium-Doped Yttrium Aluminum Garnet Laser with Different Parameters in the Treatment of Chloasma: A Randomized-Controlled Trial.

Objective: To explore the clinical efficacy of a Q-switched neodymium-doped yttrium aluminum garnet (Nd:YAG) laser with different parameters in the treatment of chloasma. Methods: In this study, 30 patients with chloasma, symmetrically distributed on the left and right sides of the face and who were treated with a Fayton Q-switched 1064 nm Nd:YAG laser, were recruited. The patients were randomly selected for the treatment of facial lesions on the left and right sides of the face using a spot diameter of 9 mm and an energy density of 0.8 J/cm2 on one side, and, on the opposite side, a spot diameter of 6 mm with an energy density of 1.2 J/cm2. The laser frequency was 5 Hz and treatment was conducted once every 7-10 days and repeated eight times as a course of treatment. At the end of the course of treatment, as well as 1, 3, and 6 months after treatment, front-facing images and 45° left- and right-side images were taken, respectively. The curative effect of the treatment was evaluated using the Melasma Area Severity Index (MASI) score. Results: The results of this study showed that the total effective rate of a Fayton Q-switched 1064 nm Nd:YAG laser in the treatment of chloasma was 60%. Conclusions: Using a Q-switched 1064 nm Nd:YAG laser represents a safe and effective approach for the treatment of chloasma. The therapeutic effects of the parameter sets, that is, a spot diameter of 9 mm and an energy density of 0.8 J/cm2, and a spot diameter of 6 mm with an energy density of 1.2 J/cm2, were similar. The treatment time and average effective times of the latter were relatively shortened. Clinical Trial Registration number researchregistry6799.

Subunit vaccines for Acinetobacter baumannii.

Acinetobacter baumannii is a gram-negative bacterium and a crucial opportunistic pathogen in hospitals. A. baumannii infection has become a challenging problem in clinical practice due to the increasing number of multidrug-resistant strains and their prevalence worldwide. Vaccines are effective tools to prevent and control A. baumannii infection. Many researchers are studying subunit vaccines against A. baumannii. Subunit vaccines have the advantages of high purity, safety, and stability, ease of production, and highly targeted induced immune responses. To date, no A. baumannii subunit vaccine candidate has entered clinical trials. This may be related to the easy degradation of subunit vaccines in vivo and weak immunogenicity. Using adjuvants or delivery vehicles to prepare subunit vaccines can slow down degradation and improve immunogenicity. The common immunization routes include intramuscular injection, subcutaneous injection, intraperitoneal injection and mucosal vaccination. The appropriate immunization method can also enhance the immune effect of subunit vaccines. Therefore, selecting an appropriate adjuvant and immunization method is essential for subunit vaccine research. This review summarizes the past exploration of A. baumannii subunit vaccines, hoping to guide current and future research on these vaccines.

mRBioM: An Algorithm for the Identification of Potential mRNA Biomarkers From Complete Transcriptomic Profiles of Gastric Adenocarcinoma.

PURPOSE: In this work, an algorithm named mRBioM was developed for the identification of potential mRNA biomarkers (PmBs) from complete transcriptomic RNA profiles of gastric adenocarcinoma (GA). METHODS: mRBioM initially extracts differentially expressed (DE) RNAs (mRNAs, miRNAs, and lncRNAs). Next, mRBioM calculates the total information amount of each DE mRNA based on the coexpression network, including three types of RNAs and the protein-protein interaction network encoded by DE mRNAs. Finally, PmBs were identified according to the variation trend of total information amount of all DE mRNAs. Four PmB-based classifiers without learning and with learning were designed to discriminate the sample types to confirm the reliability of PmBs identified by mRBioM. PmB-based survival analysis was performed. Finally, three other cancer datasets were used to confirm the generalization ability of mRBioM. RESULTS: mRBioM identified 55 PmBs (41 upregulated and 14 downregulated) related to GA. The list included thirteen PmBs that have been verified as biomarkers or potential therapeutic targets of gastric cancer, and some PmBs were newly identified. Most PmBs were primarily enriched in the pathways closely related to the occurrence and development of gastric cancer. Cancer-related factors without learning achieved sensitivity, specificity, and accuracy of 0.90, 1, and 0.90, respectively, in the classification of the GA and control samples. Average accuracy, sensitivity, and specificity of the three classifiers with machine learning ranged within 0.94-0.98, 0.94-0.97, and 0.97-1, respectively. The prognostic risk score model constructed by 4 PmBs was able to correctly and significantly (∗∗∗ p < 0.001) classify 269 GA patients into the high-risk (n = 134) and low-risk (n = 135) groups. GA equivalent classification performance was achieved using the complete transcriptomic RNA profiles of colon adenocarcinoma, lung adenocarcinoma, and hepatocellular carcinoma using PmBs identified by mRBioM. CONCLUSIONS: GA-related PmBs have high specificity and sensitivity and strong prognostic risk prediction. MRBioM has also good generalization. These PmBs may have good application prospects for early diagnosis of GA and may help to elucidate the mechanism governing the occurrence and development of GA. Additionally, mRBioM is expected to be applied for the identification of other cancer-related biomarkers.

Understanding the role of tissue-specific decellularized spinal cord matrix hydrogel for neural stem/progenitor cell microenvironment reconstruction and spinal cord injury.

The repair of spinal cord injury (SCI) highly relies on microenvironment remodeling and facilitating the recruitment and neuronal differentiation of endogenous stem/progenitor cells. Decellularized tissue matrices (DTMs) have shown their unique and beneficial characteristics in promoting neural tissue regeneration, especially those derived from the nervous system. Herein, we present a comparative analysis of a DTM hydrogel derived from spinal cord (DSCM-gel) and a decellularized matrix hydrogel derived from peripheral nerves (DNM-gel). The tissue-specificity of DSCM-gel was evaluated both in vitro, using neural stem/progenitor cell (NSPC) culture, and in vivo, using various materials and biological analyses, including transcriptome and proteomics. It was found that DSCM-gel retained an extracellular matrix-like nanofibrous structure but exhibited higher porosity than DNM-gel, which potentiated NSPCs viability, proliferation, and migration in the early stage of 3D culturing, followed by facilitation of the NSPCs differentiation into neurons. Transcriptome analysis indicated that DSCM-gel regulates NSPCs behavior by modulating integrin α2, α9, and ß1 expression profiles along with AKT/ERK related signaling pathways. Proteomics analyses suggest that DSCM specific extracellular matrix proteins, such as the tenascin family (TNC) and some soluble growth factor (FGF2) may contribute to these regulations. Furthermore, in vivo assessments confirmed that DSCM-gel provides a suitable microenvironment for endogenous stem/progenitor cell recruitment and axonal regeneration for bridging the lesion site after a completely transected SCI. Thus, this systematic study provides key insights useful for the development of the tissue-specific DTM biomaterials for translational microenvironment replacement therapies and tissue repair.

TILRR (FREM1 isoform 2) is a prognostic biomarker correlated with immune infiltration in breast cancer.

In atherosclerosis, upregulated TILRR (FREM1 isoform 2) expression increases immune cell infiltration. We hypothesized that TILRR expression is also correlated with cancer progression. By analyzing data from Oncomine and the Tumor Immune Estimation Resource, we found that TILRR mRNA expression was significantly lower in breast cancer tissue than adjacent normal tissue. Kaplan-Meier survival analysis and immunohistochemical staining revealed shortened overall survival and disease-free survival in patients with low TILRR expression. TILRR transcript expression was positively correlated with immune score, immune cell biomarkers and the expression of CXCL10 and CXCL11. TILRR expression was also positively correlated with CD8+ and CD4+ T-cell infiltration. These correlations were verified using the ESTIMATE algorithm, gene set enrichment analysis and Q-PCR. We concluded that impaired TILRR expression is correlated with breast cancer prognosis and immune cell infiltration.

Human Urinal Cell Reprogramming: Synthetic 3D Peptide Hydrogels Enhance Induced Pluripotent Stem Cell Population Homogeneity.

Somatic cells can be reprogrammed into induced pluripotent stem cells (iPSCs), which have promising potential applications in regenerative medicine. However, the challenges of successful applications of human iPSCs for medical purposes are the low generation efficiency, heterogeneous colonies, and exposure to the animal-derived product Matrigel. We aimed to investigate whether human urinal cells could be efficiently reprogrammed into iPSCs in three-dimensional Puramatrix (3D-PM) compared to two-dimensional Matrigel (2D-MG) and to understand how this 3D hydrogel environment affects the reprogramming process. Human urinal cells were successfully reprogrammed into iPSCs in the defined synthetic animal-free 3D-PM. Interestingly, although the colony efficiency in 3D-PM was similar to that in 2D-MG (∼0.05%), the reprogrammed colonies in 3D-PM contained an iPSC population with significantly higher homogeneity, as evidenced by the pluripotent-like morphology and expression of markers. This was further confirmed by transcriptome profile analysis in bulk cells and at the single cell level. Moreover, the homogeneity of the iPSC population in 3D-PM colonies was correlated with the downregulation of integrin ß1 (ITGB1) and phosphorylated focal adhesion kinase (FAK). Collectively, 3D-PM provides an alternative approach for obtaining iPSCs with enhanced homogeneity. This work also unveiled the regulation of human somatic cell reprogramming via the extracellular microenvironment.

Nanopore Structure and Fractal Characteristics of Lacustrine Shale: Implications for Shale Gas Storage and Production Potential.

In order to better understand nanopore structure and fractal characteristics of lacustrine shale, nine shale samples from the Da'anzhai Member of Lower Jurassic Ziliujing Formation in the Sichuan Basin, southwestern (SW) China were investigated by total organic carbon (TOC) analysis, X-ray diffraction (XRD) analysis, field emission scanning electron microscopy (FE-SEM), and low-pressure N2 adsorption. Two fractal dimensions D1 and D2 (at the relative pressure of 0⁻0.5 and 0.5⁻1, respectively) were calculated from N2 adsorption isotherms using the Frenkel⁻Halsey⁻Hill (FHH) equation. The pore structure of the Lower Jurassic lacustrine shale was characterized, and the fractal characteristics and their controlling factors were investigated. Then the effect of fractal dimensions on shale gas storage and production potential was discussed. The results indicate that: (1) Pore types in shale are mainly organic-matter (OM) and interparticle (interP) pores, along with a small amount of intraparticle (intraP) pores, and that not all grains of OM have the same porosity. The Brunauer⁻Emmett⁻Teller (BET) surface areas of shale samples range from 4.10 to 8.38 m²/g, the density-functional-theory (DFT) pore volumes range from 0.0076 to 0.0128 cm³/g, and average pore diameters range from 5.56 to 10.48 nm. (2) The BET surface area shows a positive correlation with clay minerals content and quartz content, but no obvious relationship with TOC content. The DFT pore volume shows a positive correlation with TOC content and clay minerals content, but a negative relationship with quartz content. In addition, the average pore diameter shows a positive correlation with TOC content and a negative relationship with quartz content, but no obvious relationship with clay minerals content. (3) Fractal dimension D1 is mainly closely associated with the specific surface area of shale, suggesting that D1 may represent the pore surface fractal dimension. Whereas fractal dimension D2 is sensitive to multiple parameters including the specific surface area, pore volume, and average pore diameter, suggesting that D2 may represent the pore structure fractal dimension. (4) Shale with a large fractal dimension D1 and a moderate fractal dimension D2 has a strong capacity to store both adsorbed gas and free gas, and it also facilitates the exploitation and production of shale gas.

Molecular diversity of microbial community in acid mine drainages of Yunfu sulfide mine.

Two acid mine drainage (AMD) samples were studied by a PCR-based cloning approach, which were from Yunfu sulfide mine in Guangdong province, China. A total of 15 operational taxonomic units (OTUs) were obtained from the two AMD samples. The percentage of overlapped OTUs in two AMD samples was 42.1%. Phylogenetic analysis revealed that the bacterium in the two samples fell into four putative divisions, which were Nitrospira, alpha-Proteobacteria, beta-Proteobacteria, and gamma-Proteobacteria four families. Organisms of genuses Acidithiobacillus and Gallionella, which were in gamma-Proteobacteria family and beta-Proteobacteria family, respectively, were dominant in two samples. The proportions of clones affiliated with Gallionella in each sample were 47.2% (G2) and 16.9% (G1). The result suggested that organisms of Gallionella were a very important composition in microbial communities of the two AMD samples we studied. In addition, the PCR amplification of archaeal 16S rDNA genes form these two AMD samples have been performed with two sets of archaea-specific primers, but no PCR product found.