Porous PtCu Alloys Decode Plasma Metabolic Fingerprints for the Recognition of Severe Community-Acquired Pneumonia.

Rapid and accurate recognition of severe community-acquired pneumonia (CAP) would facilitate the optimal intervention. Currently, the diagnosis of severe CAP is commonly based on the criteria established by Infectious Disease Society of America (IDSA)/American Thoracic Society (ATS), which include 2 primary and 9 secondary criteria, making the process cumbersome and time-consuming. Here, a porous PtCu alloy-assisted laser desorption/ionization mass spectrometry (LDI MS) is designed for the extraction of plasma metabolic fingerprints (PMFs), coupling with machine learning for the diagnosis of severe CAP.

Noble Metal Nanoparticle Assisted Mass Spectrometry for Metabolite-Based In Vitro Diagnostics.

In vitro diagnostics (IVD) makes clinical diagnosis rapid, simple, and noninvasive to patients, playing a crucial role in the early diagnosis and monitoring of diseases. Metabolic biomarkers are closely correlated to the phenotype of diseases. However, most IVD platforms are constrained by the sensitivity and throughput of assay.

Bile metabolic fingerprints distinguish biliary tract cancer from benign biliary diseases.

Background And Aims: Biliary tract cancers are aggressive gastrointestinal malignancies characterized by a dismal 5-year overall survival rate <20%. Current diagnostic modalities suffer from limitations regarding sensitivity and specificity. This study aimed to develop a bile metabolite-based platform for precise discrimination between malignant and benign biliary diseases.

Plasmonic Alloys Enhanced Metabolic Fingerprints for the Diagnosis of COPD and Exacerbations.

Accurate diagnosis of chronic obstructive pulmonary disease (COPD) and exacerbations by metabolic biomarkers enables individualized treatment. Advanced metabolic detection platforms rely on designed materials. Here, we design mesoporous PdPt alloys to characterize metabolic fingerprints for diagnosing COPD and exacerbations.

Fast Label-Free Metabolic Profile Recognition Identifies Phenylketonuria and Subtypes.

Phenylketonuria (PKU) is the most common inherited metabolic disease in humans. Clinical screening of newborn heel blood samples for PKU is costly and time-consuming because it requires multiple procedures, like isotope labeling and derivatization, and PKU subtype identification requires an additional urine sample. Delayed diagnosis of PKU, or subtype identification can result in mental disability.

Early Diagnosis and Prognosis Prediction of Pancreatic Cancer Using Engineered Hybrid Core-Shells in Laser Desorption/Ionization Mass Spectrometry.

Effective detection of bio-molecules relies on the precise design and preparation of materials, particularly in laser desorption/ionization mass spectrometry (LDI-MS). Despite significant advancements in substrate materials, the performance of single-structured substrates remains suboptimal for LDI-MS analysis of complex systems. Herein, designer Au@SiO@ZrO core-shell substrates are developed for LDI-MS-based early diagnosis and prognosis of pancreatic cancer (PC).

Janus Micro/Nanorobots in Biomedical Applications.

Janus particles possess two or more distinct domains that are anisotropic in composition or surface features. They integrate different or even incompatible properties within a single particle, making them possible to perform diverse functions and multiple tasks simultaneously. Advances in micro/nanorobots demonstrate that they can effectively convert diverse energy sources into movement and reach target locations with precision.

Silencing of Long Noncoding RNA HLA Complex P5 () Suppresses Glioma Progression through the -miR-205-Vascular Endothelial Growth Factor A Feedback Loop.

Long noncoding RNA (lncRNA) HLA complex P5 () is correlated with multiple diseases, especially cancers. However, it remains to be further studied whether is involved in the malignant behaviors of gliomas. This study is aimed at investigating the role and regulation mechanisms of in gliomas.

Dual-modal nanoplatform integrated with smartphone for hierarchical diabetic detection.

On-site screening of diabetes and precise diagnosis of diabetic complications may provide a conduit for early intervention and disease burden reduction. However, stratified metabolic analysis needs designed materials for colorimetric detection of targeted biomarkers and direct metabolic fingerprinting of the native blood. Here, an advanced dual-modal nanoplatform is constructed based on PdPtAu alloys, which serve both as the nanoenzymes in colorimetric sensing for targeted metabolite quantitation and as matrix in laser desorption/ionization mass spectrometry for untargeted metabolic fingerprinting.

KLF11 promotes the progression of glioma via regulating Holliday junction recognition protein.

Understanding the molecular mechanism of glioma is very important for the diagnosis and treatment of glioma. Recently, a new study illustrated that KLF11 could be a potential prognostic and diagnostic biomarker in glioma, but the critical role is not illustrated. In this study, we found that KLF11 was highly expressed in glioma cancer tissues and cells, and KLF11 high expression of glioblastoma (GBM) and lower-grade glioma (LGG) were correlated with poorer overall survival and disease-free survival percentages.

Serum Metabolic Fingerprints on Bowl-Shaped Submicroreactor Chip for Chemotherapy Monitoring.

Chemotherapy is a primary cancer treatment strategy, the monitoring of which is critical to enhancing the survival rate and quality of life of cancer patients. However, current chemotherapy monitoring mainly relies on imaging tools with inefficient sensitivity and radiation invasiveness. Herein, we develop the bowl-shaped submicroreactor chip of Au-loaded 3-aminophenol formaldehyde resin (denoted as APF-bowl&Au) with a specifically designed structure and Au loading content.

SPAG5 Is Involved in Human Gliomagenesis Through the Regulation of Cell Proliferation and Apoptosis.

Background: Glioma is the most frequent malignant primary brain tumor in adults.

Objective: To explore the role of sperm-associated antigen 5 (SPAG5) in glioma.

Methods: The association between SPAG5 expression and clinical features was investigated based on The Cancer Genome Atlas (TCGA) datasets.

Ultra-Fast Label-Free Serum Metabolic Diagnosis of Coronary Heart Disease via a Deep Stabilizer.

Although mass spectrometry (MS) of metabolites has the potential to provide real-time monitoring of patient status for diagnostic purposes, the diagnostic application of MS is limited due to sample treatment and data quality/reproducibility. Here, the generation of a deep stabilizer for ultra-fast, label-free MS detection and the application of this method for serum metabolic diagnosis of coronary heart disease (CHD) are reported. Nanoparticle-assisted laser desorption/ionization-MS is used to achieve direct metabolic analysis of trace unprocessed serum in seconds.

Plasmonic Alloys Reveal a Distinct Metabolic Phenotype of Early Gastric Cancer.

Gastric cancer (GC) is a multifactorial process, accompanied by alterations in metabolic pathways. Non-invasive metabolic profiling facilitates GC diagnosis at early stage leading to an improved prognostic outcome. Herein, mesoporous PdPtAu alloys are designed to characterize the metabolic profiles in human blood.

Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.

Early cancer detection greatly increases the chances for successful treatment, but available diagnostics for some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA for large-scale clinical use must address quick detection, low invasiveness, and high performance. Here, we conduct machine learning of serum metabolic patterns to detect early-stage LA.

Metabolic Fingerprinting on Synthetic Alloys for Medulloblastoma Diagnosis and Radiotherapy Evaluation.

Diagnostics is the key in screening and treatment of cancer. As an emerging tool in precision medicine, metabolic analysis detects end products of pathways, and thus is more distal than proteomic/genetic analysis. However, metabolic analysis is far from ideal in clinical diagnosis due to the sample complexity and metabolite abundance in patient specimens.

Diagnosis and prognosis of myocardial infarction on a plasmonic chip.

Cardiovascular diseases lead to 31.5% of deaths globally, and particularly myocardial infarction (MI) results in 7.4 million deaths per year.

A Translation-Activating Function of MIWI/piRNA during Mouse Spermiogenesis.

Spermiogenesis is a highly orchestrated developmental process during which chromatin condensation decouples transcription from translation. Spermiogenic mRNAs are transcribed earlier and stored in a translationally inert state until needed for translation; however, it remains largely unclear how such repressed mRNAs become activated during spermiogenesis. We previously reported that the MIWI/piRNA machinery is responsible for mRNA elimination during late spermiogenesis in preparation for spermatozoa production.

lncRNA AWPPH promotes the migration and invasion of glioma cells by activating the TGF-β pathway.

The long noncoding RNA (lncRNA) AWPPH, also termed microRNA-4435-2HG, has been associated with the poor prognosis of patients with hepatocellular carcinoma (HCC), and has been demonstrated to promote the progression of HCC and bladder cancer. The present study aimed to investigate the role of lncRNA AWPPH in glioma. The expression levels of AWPPH in tumor tissues obtained from patients with glioma and in plasma samples obtained from patients with glioma and healthy controls were detected by reverse transcription-quantitative polymerase chain reaction.

MiR-205 suppresses epithelial-mesenchymal transition and inhibits tumor growth of human glioma through down-regulation of HOXD9.

Epithelial-mesenchymal transition (EMT) plays a pivotal role in cancer progression. Hsa-miR-205 is considered one of the fundamental regulators of EMT. In the present study, we found that miR-205 was down-regulated in glioma tissues and human glioma cells U87 and U251.

Identification of potential biomarkers of lung adenocarcinoma brain metastases via microarray analysis of cDNA expression profiles.

Brain metastases originating from lung adenocarcinoma (LAD) occur frequently. The aim of the current study was to assess potential biomarkers for the prognosis of lung adenocarcinoma brain metastasis (LAD-BM) through the analysis of gene expression microarrays. The current study downloaded two gene expression datasets, GSE14108 and GSE10245, from the Gene Expression Omnibus database.

Plasmonic Janus hybrids for the detection of small metabolites.

Advanced bio-analytical platforms rely on materials with tailored structural parameters. Herein, we assembled plasmonic Janus hybrids for laser desorption/ionization mass spectrometry (LDI MS) detection of small metabolites. We applied Janus particles (periodic mesoporous organosilica (PMO) in conjunction with carbon spheres) as core materials and loaded silver nanoparticles as nanoshells.

A Plasmonic Mass Spectrometry Approach for Detection of Small Nutrients and Toxins.

Nutriology relies on advanced analytical tools to study the molecular compositions of food and provide key information on sample quality/safety. Small nutrients detection is challenging due to the high diversity and broad dynamic range of molecules in food samples, and a further issue is to track low abundance toxins. Herein, we developed a novel plasmonic matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) approach to detect small nutrients and toxins in complex biological emulsion samples.

Histone demethylase KDM5A inhibits glioma cells migration and invasion by down regulating ZEB1.

Malignant gliomas are highly lethal cancers worldwide as tumor cells infiltrate to healthy brain tissue invariably. Histone demethylase KDM5A as an oncogene or tumor suppressor in cancer still has been controversial. KDM5A may have a different function in different type cancer cells.