Straightforward Creation of Multishell Hollow Hybrids for an Integrated Metabolic Monitoring System in Disease Management

Multidimensional metabolic analysis has become a new trend in establishing efficient disease monitoring systems, as the constraints associated with relying solely on a single dimension in refined monitoring are increasingly pronounced. Here, coordination polymers are employed as derivative precursors to create multishell hollow hybrids, developing an integrated metabolic monitoring system. Briefly, metabolic fingerprints are extracted from hundreds of serum samples and urine samples, encompassing not only membranous nephropathy but also related diseases, using high-throughput mass spectrometry. With optimized algorithm and initial feature selection, the established combined panel demonstrates enhanced accuracy in both subtype differentiation (over 98.1%) and prognostic monitoring (over 95.6%), even during double blind test. This surpasses the serum biomarker panel (≈90.7% for subtyping, ≈89.7% for prognosis) and urine biomarker panel (≈94.4% for subtyping, ≈76.5% for prognosis). Moreover, after attempting to further refine the marker panel, the blind test maintains equal sensitivity, specificity, and accuracy, showcasing a comprehensive improvement over the single-fluid approach. This underscores the remarkable effectiveness and superiority of the integrated strategy in discriminating between MN and other groups. This work has the potential to significantly advance diagnostic medicine, leading to the establishment of more effective strategies for patient management.

Multiscale Structured Trimetal Oxide Heterojunctions for Urinary Metabolic Phenotype-Dependent Screening of Early and Small Hepatocellular Carcinoma

Developing a standardized screening tool for the detection of early and small hepatocellular carcinoma (HCC) through urinary metabolic analysis poses a challenging yet intriguing research endeavor. In this study, a range of intricately interlaced 2D rough nanosheets featuring well-defined sharp edges is fabricated, with the aim of constructing diverse trimetal oxide heterojunctions exhibiting multiscale structures. By carefully engineering synergistic effects in composition and structure, including improved adsorption, diffusion, and other surface-driven processes, the optimized heterojunctions demonstrate a substantial enhancement in signal intensity compared to monometallic or bimetallic oxides, as well as fragmented trimetallic oxides. Additionally, optimal heterojunctions enable the extraction of high-quality urinary metabolic fingerprints using high-throughput mass spectrometry. Leveraging machine learning, discrimination of HCC patients from high-risk and healthy populations achieves impressive performance, with area under the curve values of 0.940 and 0.916 for receiver operating characteristic and precision-recall curves, respectively. Six crucial metabolites are identified, enabling accurate detection of early, small-tumor, alpha-fetoprotein-negative HCC (93.3%-97.3%). A comprehensive screening strategy tailored to clinical reality yields precision metrics (accuracy, precision, recall, and F1 score) exceeding 95.0%. This study advances the application of cutting-edge matrices-based metabolic phenotyping in practical clinical diagnostics.

High-throughput detection allied with machine learning for precise monitoring of significant serum metabolic changes in Helicobacter pylori infection

High-throughput detection of large-scale samples is the foundation for rapidly accessing massive metabolic data in precision medicine. Machine learning is a powerful tool for uncovering valuable information hidden within massive data. In this work, we achieved the extraction of a single fingerprinting of 1 μL serum within 5 s through a high-throughput detection platform based on functionalized nanoparticles. We quickly obtained over a thousand serum metabolic fingerprintings (SMFs) including those of individuals with Helicobacter pylori (HP) infection. Combining four classical machine learning models and enrichment analysis, we attempted to extract and confirm useful information behind these SMFs. Based on all fingerprint signals, all four models achieved area under the curve (AUC) values of 0.983-1. In particular, orthogonal partial least squares discriminant analysis (OPLS-DA) model obtained value of 1 in both the discovery and validation sets. Fortunately, we identified six significant metabolic features, all of which can greatly contribute to the monitoring of HP infection, with AUC values ranging from 0.906 to 0.985. The combination of these six significant metabolic features can enable the precise monitoring of HP infection in serum, with over 95 % of accuracy, specificity and sensitivity. The OPLS-DA model displayed optimal performance and the corresponding scatter plot visualized the clear distinction between HP and HC. Interestingly, they exhibit a consistent reduction trend compared to healthy controls, prompting us to explore the possible metabolic pathways and potential mechanism. This work demonstrates the potential alliance between high-throughput detection and machine learning, advancing their application in precision medicine.

Construction of prediction model for fetal growth restriction during first trimester in an Asian population

OBJECTIVE

To construct a prediction model for fetal growth restriction (FGR) during the first trimester of pregnancy and evaluate its screening performance.

METHODS

This was a prospective cohort study of singleton pregnancies that underwent routine ultrasound screening at 11 to 13 + 6 weeks at the Affiliated Suzhou Hospital of Nanjing Medical University between January 2019 and April 2022. Basic clinical information, ultrasound indicators and serum biomarkers of pregnant women were collected. Fetal weight assessment was based on the fetal growth curve for the Southern Chinese population. FGR was diagnosed according to Delphi consensus criteria. Least absolute shrinkage and selection operator (lasso) regression was used to select variables for inclusion in the model. Discrimination, calibration and clinical effectiveness of the model were evaluated in training and validation cohorts.

RESULTS

A total of 1188 pregnant women were included, of whom 108 had FGR. Lasso regression identified seven predictive features, including history of maternal hypertension, maternal smoking or passive smoking, gravidity, uterine artery pulsatility index, ductus venosus pulsatility index and multiples of the median values of placental growth factor and soluble fms-like tyrosine kinase-1. The nomogram prediction model constructed from these seven variables accurately predicted FGR, and the area under the receiver-operating-characteristics curve in the validation cohort was 0.82 (95% CI, 0.74-0.90). The calibration curve and Hosmer-Lemeshow test demonstrated good calibration, and the clinical decision curve and clinical impact curve supported its practical value in a clinical setting.

CONCLUSION

The multi-index prediction model for FGR has good predictive value during the first trimester. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Designed Directional Growth of Ti-Metal-Organic Frameworks for Decoding Alzheimer's Disease-Specific Exosome Metabolites

Exosomes, a growing focus for liquid biopsies, contain diverse molecular cargos. In particular, exosome metabolites with valuable information have exhibited great potential for improving the efficiency of liquid biopsies for addressing complex medical conditions. In this work, we design the directional growth of Ti-metal-organic frameworks on polar-functionalized magnetic particles. This design facilitates the rapid synergistic capture of exosomes with the assistance of an external magnetic field and additionally synergistically enhances the ionization of their metabolites during mass spectrometry detection. Benefiting from this dual synergistic effect, we identified three high-performance exosome metabolites through the differential comparison of a large number of serum samples from individuals with Alzheimer's disease (AD) and normal cognition. Notably, the accuracy of AD identification ranges from 93.18 to 100% using a single exosome metabolite and reaches a flawless 100% with three metabolites. These findings emphasize the transformative potential of this work to enhance the precision and reliability of AD diagnosis, ushering in a new era of improved diagnostic accuracy.

Serological Exosome Metabolic Biopsy of Hepatocellular Carcinoma via Designed Core-Shell Nanoparticles

Exosome metabolite-based liquid biopsy is a promising strategy for large-scale application in practical clinics toward precise medicine. Given the current challenges in successive isolation and analysis of exosomes and their metabolites in this field, we established a low-cost, high-throughput, and rapid platform for serological exosome metabolic biopsy of hepatocellular carcinoma (HCC) via designed core-shell nanoparticles. It starts with the efficient extraction of high-quality serum exosomes and exosome metabolic features, based on which significantly obvious sample clusters are observed by unsupervised cluster analysis. The following integration of feature selection and supervised machine learning enables the identification of six key metabolites and achieves high-performance prediction between HCC, liver cirrhosis, and healthy controls. Specifically, both sensitivity and accuracy achieve 100% among any pairwise intergroup discrimination in a blind test. The quality and reliability of six key metabolites are further evaluated and validated by using different machine learning algorithms and pathway exploration. Our platform contributes to the future growth of new liquid biopsy technologies for precision diagnosis and real-time monitoring of HCC, among other conditions.

[Retrospective study of 70 cases with the head and neck non-parameningeal rhabdomyosarcoma]

Objective: To analyze the treatment outcomes and prognoses of children with head and neck non-parameningeal rhabdomyosarcoma (HNnPM RMS). Methods: A retrospective analysis was performed on the clinical data of children with HNnPM RMS admitted to Beijing Children's Hospital from September 2012 to September 2022. The clinical features, comprehensive treatment modes and prognoses of the patients were analyzed. The overall survival rate (OS) and event free survival rate (EFS) were calculated using the Kaplan-Meier method, and univariate analysis was performed using the Log-rank test. Results: A total of 70 children were included in this study, 38 males and 32 females, with a median age of 47 months (2-210 months). Pathological subtypes including the embryonal in 27 cases, the alveolar in 36 cases and the spindle cell and sclerosing in 7 cases. Thirty children (83.3%) with alveolar type were positive for FOXO1 gene fusion. All 70 children underwent chemotherapy, including 38 with neoadjuvant chemotherapy and 32 with adjuvant chemotherapy. Sixty of 70 children underwent surgery, of whom, 10 underwent two or more surgeries. There were 63 children underwent radiotherapy, including 54 with intensity-modulated radiation therapy, 4 with particle implantation and 5 with proton therapy. The median follow-up was 45 (5-113) months, the 5-year OS was 73.2%, and the 5-year EFS was 57.7%. Univariate analysis showed lymph node metastasis (χ2=5.022, P=0.025), distant metastasis (χ2=8.258, P=0.004), and high Intergroup Rhabdomyosarcoma Study (IRS) group (χ2=9.859, P=0.029) as risk factors for poor prognosis. Before June 2016, the 5-year OS based on BCH-RMS-2006 scheme was 63.6%, and after 2016, the 5-year OS based on CCCG-RMS-2016 scheme was 79.6%. Conclusion: Multidisciplinary combined standardized treatment can offer good treatment outcome and prognosis for children with HNnPM RMS. Local control is a key to the efficacy of comprehensive treatment.

Heterogeneous MXene Hybrid-Oriented Exosome Isolation and Metabolic Profiling for Early Screening, Subtyping and Follow-up Evaluation of Bladder Cancer

Exosome metabolite-based noninvasive liquid biopsy is an emerging research hotspot that tends to substitute current means in clinics. Nanostructure-based mass spectrometry enables continuous exosome isolation and metabolic profiling with superior analysis speed and high efficiency. Herein, we construct a heterogeneous MXene hybrid that possesses ternary binding sites for exosome capture and outstanding matrix performance for metabolite analysis. Upon optimizing experimental conditions, the average extraction of exosomes and their metabolic patterns from a 60 mL urine sample is completed within 45 s (40 samples per batch for 30 min). According to the exosomal metabolic patterns and the subsequently established biomarker panel, we distinguish early bladder cancer (BCa) from healthy controls with an area under the curve (AUC) value greater than 0.995 in model training and validation sets. As well, we realize subtype classification of BCa in the blind test on metabolic patterns, with an AUC value of 0.867. We also explore the significant biomarkers that are sensitive to follow-up patients, which indeed present reverse change levels compared with pathological progression. This study has the potential to guide the development of the liquid biopsy approach.

[Overview of design and construction of hypertensive disorders of a pregnancy-cohort in Shenzhen]

Hypertensive disorder of pregnancy (HDP) involves two major public health issues: mother-infant safety and prevention and controlling major chronic disease. HDP poses a serious threat to maternal and neonatal safety, and it is one of the leading causes of maternal and perinatal morbidity and mortality worldwide, as well as an important risk factor for long-term cardiovascular disease (CVD). In order to explore effective strategies to prevent and control the source of CVD and reduce its risk, we have established a cohort of HDPs in Shenzhen for the primordial prevention of CVD. The construction of the HDP cohort has already achieved preliminary progress till now. A total of 2 239 HDP women have been recruited in the HDP cohort. We have established a cohort data management platform and Biobank. The follow-up and assessment of postpartum cardiovascular metabolic risk in this cohort has also been launched. Our efforts will help explore the pathophysiological mechanism of HDP, especially the pathogenesis and precision phenotyping, prediction, and prevention of pre-eclampsia, which, therefore, may reduce the risk of adverse pregnancy outcomes, and provide a bridge to linking HDP and maternal-neonatal cardiovascular, metabolic risk to promote the cardiovascular health of mothers and their infants.

Construction of Porous Perovskite Oxide Microrods with Au Nanoparticle Anchor for Precise Metabolic Diagnosis of Alzheimer's Disease

Alzheimer's disease (AD) is a progressive illness, and early diagnosis and treatment can help delay its progression. However, clinics still lack high-throughput, low-invasive, precise, and objective diagnostic strategies. Herein, the Au nanoparticles anchored porous perovskite oxide microrods (CTO@Au) with designed superior properties is developed to construct a high-throughput detection platform. Specifically, a single metabolic fingerprinting is obtained from only 30 nL of serum within seconds, enabling the rapid acquisition of 239 × 8 high-quality fingerprints in ≈ 2 h. AD is distinguish from health controls and Parkinson's disease with an area under the curve (AUC) of 1.000. Moreover, eight specific metabolites are identified as a biomarker panel, based on which precise diagnosis of AD is achieved, with an AUC of 1.000 in blind test. The possible relevant pathways and potential mechanism involved in these biomarkers are investigated and discussed. This work provides a high-performance platform for metabolic diagnostic analysis.

Zwitterionic mesoporous engineering aids peptide-dependent pattern profiling for identification of different liver diseases

Liver disease remains a global health challenge, with its incidence steadily increasing worldwide. Herein, zwitterionic mesoporous engineering was developed for the identification of different liver diseases including liver cirrhosis and liver cancer. Based on this engineering, a total of 2633 m/z signals were observed to be enriched. Notably, three key peptides were identified and showed high accuracy and precision for distinguishing the healthy and disease states, propelling the field of nanomedicine toward genuine personalized medicine.

Evolving Project ECHO: delivery of pediatric pain core competency learning for interprofessional healthcare providers

Introduction

Healthcare providers (HCPs) practicing in community settings are critical to improving access to pain care, yet there are significant gaps in training opportunities designed for interprofessional learners. Project Extension for Community Healthcare Outcomes (Project ECHO®) is an established model for delivering online HCP education through virtual clinics and cultivating a community of practice. However, to our knowledge, the integration of pain core competency education into the ECHO® model has not been previously attempted. This innovation could enhance the ECHO® model while also addressing the growing calls for more accessible interprofessional pain curricula. This paper describes efforts to implement and evaluate core competency curricula within the context of Pediatric Project ECHO for Pain, one of the first pediatric-pain focused ECHO programs in the world.

Methods

Needs assessments informed curricula development. The first delivered core competency model consisted of synchronous webinar-style sessions while the second model included a mixture of asynchronous (eLearning course) and synchronous (virtual clinical debrief) elements. A convenience sample of HCPs was recruited from ECHO program registrants. Participants completed baseline and follow-up surveys to assess core competency acceptability as well as impact on knowledge and self-efficacy related to managing pediatric pain. Usability of the eLearning platform (model 2 only) was also evaluated. Surveys used 5-point Likert scales to capture outcomes. A priori targets included mean scores ≥4/5 for acceptability and ≥80% of learners reporting knowledge and self-efficacy improvements. The study received local research ethics approval.

Results

The core competency was found to be highly acceptable to interprofessional learners (n = 31) across delivery models, surpassing a priori targets. Specifically, it was characterized as a worthwhile and satisfactory experience that was helpful in supporting learning. The core competency was also associated with improvements in knowledge and self-efficacy by 97% and 90% of learners, respectively. The eLearning platform was reported to have high usability with clinically realistic cases (100% of respondents) that were helpful to inform care delivery (94% of respondents).

Conclusion

The integration of core competency learning within the Project ECHO® model was a successful approach to deliver pediatric pain education to interprofessional HCPs.

Resol/triblock copolymer composite-guided smart fabrication of carbonized mesopores for efficiently decoding exosomal glycans

Soft-template carbonized mesopores were developed for the purpose of enriching urinary exosomal glycans through organic-organic self-assembly using block copolymers and resol precursors. With a high surface area of 229 m² g^-1, a small pore size of 3.1 nm, and a significant amount of carbon that specifically interacts with oligosaccharides in glycans, this carbonized mesopore material exhibits high selectivity and low limits of detection (5 ng μL^-1) towards glycans. Our analysis of complex urine samples from healthy volunteers and bladder carcinoma patients successfully profiled 48 and 56 exosomal glycans, respectively, and 16 of them were significantly changed. Moreover, one upregulated bisecting N-acetylglucosamine (GlcNAc)-type glycan with core fucose, two upregulated and two downregulated terminal-sialylated glycans were revealed to be linked to bladder carcinoma. This approach is of significant importance for understanding diseases that arise from protein glycosylation mutations, and it may contribute to the development of novel diagnostic and therapeutic strategies for bladder carcinoma.

[Procine recombinant NK-lysin inhibits hepatocellular carcinoma metastasis by downregulating FKBP3 and inhibiting oxidative phosphorylation and glycolysis: a proteomic analysis]

OBJECTIVE

To investigate the potential mechanisms that mediate the inhibitory effect of porcine recombinant NKlysin (prNK-lysin) against liver cancer cell metastasis.

METHODS

HPLC-tandem mass spectrometry was used to identify the differentially expressed proteins in prNK-lysin-treated hepatocellular carcinoma SMMOL/LC-7721 cells in comparison with the control and PBS-treated cells. GO functional annotation and KEGG pathway analysis of the differentially expressed proteins were performed using GO and KEGG databases. RT-qPCR was used to determine the mRNA expression levels of polypeptide-N-acetylgalactosaminotransferase 13 (GALNT13), transmembrane protein 51 (TMEM51) and FKBP prolyl isomerase 3 (FKBP3) in the cells, and the protein expression of FKBP3 was verified using Western blotting.

RESULTS

Proteomic analysis identified 1989 differentially expressed proteins in prNK-lysin-treated cells compared with the control cells, and 2753 compared with PBS-treated cells. Fifteen proteins were differentially expressed between PBS-treated and the control cells, and 1909 were differentially expressed in prNK- lysin group compared with both PBS and control groups. These differentially expressed proteins were involved mainly in the viral process, translational initiation and RNA binding and were enriched mainly in ribosome, protein process in endoplasmic reticulum, and RNA transport pathways. RT-qPCR showed that compared with the control group, prNK-lysin treatment significantly increased the mRNA expressions of GALNT13 (P < 0.05) and TMEM51 (P < 0.01) and lowered FKBP3 mRNA expression (P < 0.05). Western blotting also showed a significantly decreased expression of FKBP3 protein in prNK-lysin-treated cells (P < 0.001).

CONCLUSION

Treatment with prNK-lysin causes significant changes in protein expression profile of SMMOL/LC-7721 cells and inhibits hepatocellular carcinoma metastasis by downregulating FKBP3 protein and affecting the cellular oxidative phosphorylation and glycolysis pathways.

[Targeting microRNA-125b inhibited the metastasis of Alisertib resistance cells through mediating p53 pathway]

Objective: To clarify the mechanisms involvement in Alisertib-resistant colorectal cells and explore a potential target to overcome Alisertib-resistance. Methods: Drug-resistant colon cancer cell line (named as HCT-8-7T cells) was established and transplanted into immunodeficient mice. The metastasis in vivo were observed. Proliferation and migration of HCT-8-7T cells and their parental cells were assessed by colony formation and Transwell assay, respectively. Glycolytic capacity and glutamine metabolism of cells were analyzed by metabolism assays. The protein and mRNA levels of critical factors which are involved in mediating glycolysis and epithelial-mesenchymal transition (EMT) were examined by western blot and reverse transcription-quantitative real-time polymerase chain reaction(RT-qPCR), respectively. Results: In comparison with the mice transplanted with HCT-8 cells, which were survival with limited metastatic tumor cells in organs, aggressive metastases were observed in liver, lung, kidney and ovary of HCT-8-7T transplanted mice (P<0.05). The levels of ATP [(0.10±0.01) mmol/L], glycolysis [(81.77±8.21) mpH/min] and the capacity of glycolysis [(55.50±3.48) mpH/min] in HCT-8-7T cells were higher than those of HCT-8 cells [(0.04±0.01) mmol/L, (27.77±2.55) mpH/min and(14.00±1.19) mpH/min, respectively, P<0.05]. Meanwhile, the levels of p53 protein and mRNA in HCT-8-7T cells were potently decreased as compared to that in HCT-8 cells (P<0.05). However, the level of miRNA-125b (2.21±0.12) in HCT-8-7T cells was significantly elevated as compared to that in HCT-8 cells (1.00±0.00, P<0.001). In HCT-8-7T cells, forced-expression of p53 reduced the colon number (162.00±24.00) and the migration [(18.53±5.67)%] as compared with those in cells transfected with control vector [274.70±40.50 and (100.00±29.06)%, P<0.05, respectively]. Similarly, miR-125b mimic decreased the glycolysis [(25.28±9.51) mpH/min] in HCT-8-7T cells as compared with that [(54.38±12.70)mpH/min, P=0.003] in HCT-8-7T cells transfected with control. Meanwhile, in comparison with control transfected HCT-8-7T cells, miR-125b mimic also significantly led to an increase in the levels of p53 and β-catenin, in parallel with a decrease in the levels of PFK1 and HK1 in HCT-8-7T cells (P<0.05). Conclusions: Silencing of p53 by miR-125b could be one of the mechanisms that contributes to Alisertib resistance. Targeting miR-125b could be a strategy to overcome Alisertib resistance.

Hollow Core-Shell Metal Oxide Heterojunctions for the Urinary Metabolic Fingerprint-Based Noninvasive Diagnostic Strategy

Urine is a preferred object for noninvasive diagnostic strategies. Urinary metabolic analysis is speculatively regarded as an ideal tool for screening diseases closely related to the genitourinary system in view of the intimate relationship between metabolomics and phenotype. Herein, we propose a urinary metabolic fingerprint-based noninvasive diagnostic strategy by designing hollow core-shell metal oxide heterojunctions (denoted as MOHs). With outstanding light absorption and electron-hole separation ability, MOHs aid in the extraction of high-performance urine metabolic fingerprints. Coupled with optimized machine learning algorithms, we establish a metabolic marker panel for accurate diagnosis of prostate cancer (PCa), which is the most common malignant tumor of the male genitourinary system, achieving accuracies of 84.72 and 83.33% in the discovery and validation sets, respectively. Furthermore, metabolite variations and related pathway analyses confirm the credibility and change correlation of key metabolic features in PCa. This work tends to advance the noninvasive diagnostic strategy toward clinical realities.

Pediatric Project ECHO® for Pain: implementation and mixed methods evaluation of a virtual medical education program to support interprofessional pain management in children and youth

BACKGROUND

Pediatric pain is a complex health challenge requiring a multi-modal management approach. It is critical that healthcare providers (HCPs) have access to ongoing, flexible education and mentorship specific to pediatric pain. However, there are significant gaps in available pain education and a need for more opportunities to support interprofessional training. Project Extension for Community Healthcare Outcomes (Project ECHO®) is a model for delivering online HCP education and cultivating a virtual community of practice. Within the pediatric pain setting, ECHO® has potential to improve local access to specialized pain knowledge, particularly among the physicians, nurses, and allied health providers who primarily manage these cases in community and hospital settings across rural and urban environments. The purpose of this study was three-fold. First, to evaluate the feasibility (participation levels, acceptability) of implementing Project ECHO® in the context of pediatric pain. Second, to measure preliminary program impacts on HCP knowledge, self-efficacy, and clinical practice. Third, to characterize HCP program engagement levels before and after onset of the COVID-19 pandemic.

METHODS

A needs assessment was conducted to identify interprofessional education gaps and inform the program curriculum. The no-cost Pediatric ECHO® for Pain program offered TeleECHO sessions (didactic and case-based learning) as well as foundational education. Surveys were distributed at baseline and 6 months to assess outcomes using 7-point Likert scales. Participant engagement was assessed for periods prior to and during the COVID-19 pandemic. Descriptive and inferential statistical analyses were conducted.

RESULTS

Eighty-five TeleECHO sessions were hosted, with a mean attendance of 34.1 ± 23.4 HCPs. Acceptability scores at 6 months (n = 33) ranged from 5.0 ± 1.4 to 6.5 ± 0.5. Participants reported statistically significant (p < 0.05) improvements in knowledge (7 out of 7 topics) and self-efficacy (8 out of 9 skills). Most participants reported positive practice impacts, including improved satisfaction with managing children with pain. Exploratory analyses showed a trend of greater engagement from ECHO® learners after onset of the COVID-19 pandemic.

CONCLUSIONS

Project ECHO® is a feasible and impactful model for virtual education of interprofessional HCPs in managing pediatric pain.

A protocol of carbonized on-column enrichment for urinary exosomal N-glycans profiling

As a widely present vesicle, exosome plays an important role in lots of biological processes due to its inclusive cargos. In particular, exosome glycan cargo is attracting attentions since its aberrant alteration is closely related to many progressions in diseases. In this work, a novel carbonized packing capillary trap column for urinary exosomal N-glycan enrichment was proposed. The carbonized packing exhibited large specific surface area, mesoporous structure with narrow pore size distribution and abundant carbon for specially interacting with oligosaccharides. Benefitting from all these advantages, the N-glycans deriving from standard glycoproteins or complex human urine exosomes could be identified with high sensitivity and selectivity. Finally, from the glycans identified in healthy volunteers and patients with bladder carcinoma, we observed that 10 of glycans shared by two groups were obvious downregulation and the 18 were upregulation. These results show great potential of capillary trap column as a tool for the enrichment and detection of glycans in exosomal, attracting more attention on disease progression monitoring and biomarker discovery.

[Efficacy and influencing factors of surgery combined with neoadjuvant chemoradiotherapy in the treatment of children with non-orbital head and neck rhabdomyosarcoma]

Objective: To evaluate the efficacy and influencing factors of surgery combined with neoadjuvant chemoradiotherapy in the treatment of children with non-orbital head and neck rhabdomyosarcoma (HNRMS). Methods: Information from 45 children diagnosed as non-orbital HNRMS and subjected to surgery combined with neoadjuvant chemoradiotherapy in Beijing Children's Hospital affiliated to Capital Medical University from August 2017 to July 2021 was analyzed. The patients included 25 males and 20 females, aged from 1 to 17 years old. The primary tumor site, pathological subtype, clinical stage, risk group, therapeutic regimen, resection range and outcome of all cases were also collected. The survival curves were made using the Kaplan-Meier method and the potential prognostic factors were investigated by Cox regression analysis. Results: Fifteen (33.3%) of 45 children achieved negative surgical margin under complete tumor resection. The postoperative pathological results showed that there were 20 cases of embryonic subtype, 19 cases of alveolar subtype and 6 cases of spindle sclerosis subtype. The postoperative follow-up time ranged from 4 to 71 months, with a median of 26 months. During the follow-up period, 13 children died, among whom brain metastasis was the most common cause of death, accounting for 7/13. The 3-year overall survival rate was 67.6%. Multivariate analysis showed that non-embryonic subtype (HR=6.26, 95%CI: 1.52-25.87, P=0.011) and failure to reach R0 resection (HR=9.37, 95%CI: 1.18-74.34, P=0.034) were independent risk factors affecting overall survival rate. Conclusion: Surgery combined with neoadjuvant chemoradiotherapy can offer a good efficacy for children with non-orbital HNRMS. Non-embryonic subtype and resection without negative operative microscopic margins are independent risk factors for poor prognosis, and brain metastasis is the main cause of death in these children.

[A case-control study of occupational noise exposure induced high-frequency hearing loss and the risk of hypertension]

Objective: To investigate the relationship between high frequency hearing loss caused by occupational noise and the risk of hypertension. Methods: In March 2020, a case-control study was conducted. All noise exposed workers who participated in occupational health examination in Wuxi City in 2019 were selected as the study subjects (95432 cases in total) . The hypertension group was defined as the case group, and the normotensive group was defined as the control group. According to the hearing threshold, they were divided into the non high frequency hearing loss group (<40 dB) and the high frequency hearing loss group (≥ 40 dB) . Univariate statistical method and binary logistic regression were used to evaluate the relationship between high-frequency hearing loss and hypertension risk. Stratified analysis was used to compare the risk of hypertension among workers with high-frequency hearing loss of different ages and length of service. Results: There were significant differences in gender, age, length of service, enterprise scale, economic type and high-frequency hearing loss between control group and hypertension group (P<0.05) . Binary logistic regression analysis showed that after adjusting for gender, age, length of service, enterprise scale and economic type, the risk of hypertension in the high-frequency hearing loss group was still increased (OR=1.062, 95%CI: 1.007~1.121, P=0.027) . The risk of hypertension in high-frequency hearing loss patients was higher than that in non high-frequency hearing loss patients in 20-39 years old and 40-59 years old age groups (OR=1.536, 95%CI: 1.353~1.743; OR=1.179, 95%CI: 1.111~1.250; P<0.05) . The risk of hypertension in high-frequency hearing loss patients in <5years, 5-9years, 10-14 years, 15-19 years and ≥20 years working age groups were higher than that in non high-frequency hearing loss groups (OR=1.926, 95%CI=1.007-1.121; OR=1.635, 95%CI=1.478-1.810; OR=1.312, 95%CI=1.167-1.474; OR=1.445, 95%CI=1.238-1.686; OR=1.235, 95%CI=1.043-1.463; P<0.05) . Conclusion: There is a certain relationship between high-frequency hearing loss caused by occupational noise and the risk of hypertension, and the risk of hypertension is different among high-frequency hearing loss patients of different ages and working years.

Diagnosing, Typing, and Staging of Renal Cell Carcinoma by Designer Matrix-Based Urinary Metabolic Analysis

Molecular diagnosing, typing, and staging have been considered to be the ideal alternatives of imaging-based detection methods in clinics. Designer matrix-based analytical tools, with high speed, throughout, efficiency and low/noninvasiveness, have attracted much attention recently for in vitro metabolite detection. Herein, we develop an advanced metabolic analysis tool based on highly porous metal oxides derived from available metal-organic frameworks (MOFs), which elaborately inherit the morphology and porosity of MOFs and newly incorporate laser adsorption capacity of metal oxides. Through optimized conditions, direct high-quality fingerprinting spectra in 0.5 μL of urine are acquired. Using these fingerprinting spectra, we can discriminate the renal cell carcinoma (RCC) from healthy controls with higher than 0.99 of area under the curve (AUC) values (R²Y(cum) = 0.744, Q² (cum) = 0.880), as well, from patients with other tumors (R²Y(cum) = 0.748, Q²(cum) = 0.871). We also realize the typing of three RCC subtypes, including clear cell RCC, chromophobe RCC (R²Y(cum) = 0.620, Q²(cum) = 0.656), and the staging of RCC (R²Y(cum) = 0.755, Q²(cum) = 0.857). Moreover, the tumor sizes (threshold value is 3 cm) can be remarkably recognized by this advanced metabolic analysis tool (R²Y(cum) = 0.710, Q²(cum) = 0.787). Our work brings a bright prospect for designer matrix-based analytical tools in disease diagnosis, typing and staging.

Exosome Metabolic Patterns on Aptamer-Coupled Polymorphic Carbon for Precise Detection of Early Gastric Cancer

Gastric cancer (GC) presents high mortality worldwide because of delayed diagnosis. Currently, exosome-based liquid biopsy has been applied in diagnosis and monitoring of diseases including cancers, whereas disease detection based on exosomes at the metabolic level is rarely reported. Herein, the specific aptamer-coupled Au-decorated polymorphic carbon (CoMPC@Au-Apt) is constructed for the capture of urinary exosomes from early GC patients and healthy controls (HCs) and the subsequent exosome metabolic pattern profiling without extra elution process. Combining with machine learning algorithm on all exosome metabolic patterns, the early GC patients are excellently discriminated from HCs, with an accuracy of 100% for both the discovery set and blind test. Ulteriorly, three key metabolic features with clear identities are determined as a biomarker panel, obtaining a more than 90% diagnostic accuracy for early GC in the discovery set and validation set. Moreover, the change law of the key metabolic features along with GC development is revealed through making a comparison among HCs and GC at early stage and advanced stage, manifesting their monitoring ability toward GC. This work illustrates the high specificity of exosomes and the great prospective of exosome metabolic analysis in disease diagnosis and monitoring, which will promote exosome-driven precision medicine toward practical clinical application.

[Honokiol reduces doxorubicin-induced cardiotoxicity in vitro by inhibiting pyroptosis via activating AMPK/Nrf2 signaling]

OBJECTIVE

To investigate the effect of honokiol (HKL) for reducing doxorubicin (DOX)-induced cardiotoxicity in H9c2 cells and the underlying mechanisms.

METHODS

H9c2 cells were divided into control group, DOX group, HKL + DOX group, and HKL+compound C+DOX group. After 24 h of corresponding treatment, the cells were examined for morphological changes and cell viability using CCK-8 assay. The mRNA expressions of the inflammatory factors including tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and interleukin-1β (IL-1β) were detected by RT-PCR, and the protein levels of cleaved caspase-3, cytochrome c, NOD-like receptor pyrin domain containing 3 (NLRP3), caspase-1, apoptosis-associated speck-like protein containing a CARD (ASC), p-AMPK and nuclear factor (erythroid-derived 2)-like 2 (Nrf2) were detected with Western blotting; the expressions of NLRP3 and p-AMPK also detected with immunofluorescence staining.

RESULTS

DOX treatment caused swelling and significantly lowered the viability of H9c2 cells (P < 0.05), resulting also in increased mRNA expressions of TNF-α, IL-6 and IL-1β (P < 0.05) and protein expressions of cleaved caspase-3, cytochrome c, NLRP3, caspase-1 and ASC (P < 0.05) but reduced protein levels of p-AMPK and Nrf2 (P < 0.05); fluorescence staining showed significantly increased NLRP3 expression and decreased expression of p-AMPK in DOX-treated cells (P < 0.05). All these changes in COX-treated cells were significantly alleviated by HKL treatment (P < 0.05). The application of compound C obviously mitigated the protective effects of HKL against DOX-induced cardiotoxicity in H9c2 cells.

CONCLUSIONS

HKL can alleviate DOX-induced cardiotoxicity by inhibiting pyroptosis in H9c2 cells, and this effect is mediated by activation of AMPK to regulate Nrf2 signaling.

Metabolic Molecular Diagnosis of Inflammatory Bowel Disease by Synergistical Promotion of Layered Titania Nanosheets with Graphitized Carbon

Due to inefficient diagnostic methods, inflammatory bowel disease (IBD) normally progresses into severe complications including cancer. Highly efficient extraction and identification of metabolic fingerprints are of significance for disease surveillance. In this work, we synthesized a layered titania nanosheet doped with graphitized carbon (2D-GC-mTNS) through a simple one-step assembly process for assisting laser desorption ionization mass spectrometry (LDI-MS) for metabolite analysis. Based on the synergistic effect of graphitized carbon and mesoporous titania, 2D-GC-mTNS exhibits good extraction ability including high sensitivity (< 1 fmol µL^-1) and great repeatability toward metabolites. A total of 996 fingerprint spectra were collected from hundreds of native urine samples (including IBD patients and healthy controls), each of which contained 1220 m/z metabolite features. Diagnostic model was further established for precise discrimination of patients from healthy controls, with high area under the curve value of 0.972 and 0.981 toward discovery cohort and validation cohort, respectively. The 2D-GC-mTNS promotes LDI-MS to be close to clinical application, with rapid speed, minimum sample consumption and free of sample pretreatment.

Supplementary Information

The online version contains supplementary material available at 10.1007/s43657-022-00055-0.

In Vitro Diagnostic Examination and Prognosis Surveillance by Hierarchical Heterojunction-Assisted Metabolic Analysis

High-throughput metabolic analysis based on laser desorption/ionization mass spectrometry exhibits broad prospects in the field of large-scale precise medicine, for which the assisted ionization ability of the matrix becomes a determining step. In this work, the gold-decorated hierarchical metal oxide heterojunctions (dubbed Au/HMOHs) are proposed as a matrix for extracting urine metabolic fingerprints (UMFs) of primary nephrotic syndrome (PNS). The hierarchical heterojunctions are simply derived from metal-organic framework (MOF)-on-MOF hybrids, and the native built-in electric field from heterojunctions plus the extra Au decoration provides remarkable ionization efficiency, attaining high-quality UMFs. These UMFs are employed to realize precise diagnosis, subtype classification, and effective prognosis evaluation of PNS by appropriate machine learning, all with 100% accurate ratios. Moreover, a high-confidence marker panel for PNS diagnosis is constructed. Interestingly, all panel metabolite markers present obviously uniform downregulation in PNS compared to healthy controls, shedding light on mechanism exploration and pathway analysis. This work drives the application of metabolomics toward precision medicine.

[Effects of ursolic acid on oxidative stress and inflammatory factors in a rat model of AR after PM2.5 exposure]

Objective: To investigate the effects of ursolic acid (UA) on oxidative stress and inflammatory factors in a rat model of AR after PM2.5 exposure. Methods: Sixty healthy female SD rats were randomly divided into five groups: normal control group (NC group), PM2.5 unexposed AR group (AR group), PM2.5 exposed AR group (ARE group), UA intervention AR group (AR+UA group), and UA intervention PM2.5 exposed AR group (ARE+UA group), with 12 rats in each group. AR model was performed by a basal sensitization with intraperitoneal injection of ovalbumin (OVA) and followed by nasal instillation. PM2.5 exposure was carried out by inhalation exposure system at a concentration of 200 μg/m³ for 3 h/d for 30 days. UA intervention group was given UA intragastric administration at 20 mg/(kg·d). AR symptoms including sneezing, nasal scratching and nasal secretion of rats in each group were observed. The activities of superoxide dismutase (SOD) and the level of malondialdehyde (MDA) in nasal mucosa were tested. The pathological changes of nasal mucosa were observed by HE staining. The levels of OVA-sIgE, IL-6 and IL-17 in serum were measured by enzyme-linked immunosorbent assay (ELISA). Protein microarray was used to measure the expression of multiple inflammation cell factors in nasal mucosa. Statistical analysis was performed with SPSS 20.0. Results: After UA intervention, the frequency of nasal sneezing, scratching and nasal secretion in ARE+UA group were lower than those of ARE group (P<0.05). Pathological examination of nasal mucosa showed that ARE+UA group had less inflammatory granulocyte infiltration and less pathological damage to the epithelial layer than ARE group. The activities of SOD in nasal mucosa of ARE+UA group were higher than those of ARE group ((50.10±3.09) U/mg vs (20.13±1.30) U/mg, F value was 597.54, P<0.01). The contents of MDA in nasal mucosa of ARE+UA group were lower than those of ARE group ((57.78±12.36) nmol/g vs (124.12±9.40) nmol/g, F value was 115.51, P<0.01). The expression levels of OVA-sIgE, IL-6 and IL-17 proteins were lower in the ARE+UA group than those in ARE group ((11.61±0.27) ng/ml vs (20.30±0.67) ng/ml, (47.59±15.49) pg/ml vs (98.83±10.98) pg/ml, (623.30±8.75) pg/ml vs (913.32±9.06) pg/ml, F value was 283.42, 80.45, 683.73, respectively, all P<0.01). After UA intervention, protein microarray analysis showed that the expression of IL-4, IL-6, IL-13, chemokine CXCL7, IL-1α, IL-1β, MMP-8 and MCP-1 in ARE+UA group was decreased compared with ARE group while IFN-γ and IL-10 increased (all P<0.01). Conclusion: UA can reduce the aggravated AR symptoms and pathological damage of nasal mucosa, inhibit oxidative stress and release of inflammatory factors after PM2.5 exposure, and thus plays a protective role in the pathological damage of AR induced by PM2.5 exposure.

Precise Detection of Cataracts with Specific High-Risk Factors by Layered Binary Co-Ionizers Assisted Aqueous Humor Metabolic Analysis

Diabetes and high myopia as well-known high-risk factors can aggravate cataracts, yet clinical coping strategy remains a bottleneck. Metabolic analysis tends to be powerful for precisely detection and mechanism exploration since most of diseases including cataracts are accompanied by metabolic disorder. Herein, a layered binary co-ionizers assisted aqueous humor metabolic analysis tool is proposed for potentially etiological typing and detection of cataracts, including age-related cataracts (ARC), cataracts with diabetes mellitus (CDM), and cataracts with high myopia (CHM). Startlingly, taking advantage of the optimal machine learning algorithm and all metabolic fingerprints, 100% of accuracy, precision, and recall rates are achieved for arbitrary comparison between groups. Moreover, 11, 9, and 7 key metabolites with explicit identities are confirmed as markers of discriminating CDM from ARC, CHM from ARC, and CDM from CHM, and the corresponding area under the curve values of validation cohorts are 0.985, 1.000, and 1.000. Finally, the critical impact of diabetes/high myopia on cataracts is revealed by excavating the change levels and metabolic pathways of key metabolites. This work updates the insights of prevention and treatment about cataracts at metabolic level and throws out huge surprises and progresses metabolic diagnosis toward a reality.

[Clinical characteristics and prognostic analyses of cervical neuroblastoma]

Objective: To determine the characteristics of cervical neuroblastoma and the effect of resection extent on survival and outcomes. Methods: We performed a retrospective review of 32 children with cervical neuroblastoma treated at Beijing Children's Hospital between April 2013 and August 2020. Data were collected from the medical record. The individualized therapy was designed based on staging and risk group. Based on the extent of resection, patients were divided into incomplete and complete resection groups. Event free and overall survival rates were compared between two groups using the Kaplan-Meier method. Results: The ages of patients ranged from 1 month to 81 months, with a median age of 11 months, including 7 males and 15 females. Twenty-nine patients (90.6%) presented with cervical painless mass. The average diameter of the primary tumors was (5.12±1.43) cm. Tumors were located in the parapharyngeal space in 25 cases (78.1%) and in the root of the neck in 7 cases (21.9%). None had MYCN amplification. According to International Neuroblastoma Staging System (INSS), 15 patients (46.9%) were identified as stage 1, 11 patients (34.3%) as stage 2B, 3 patients (9.4%) as stage 3 and 3 patients (9.4%) as stage 4. There were 12 patients (37.5%) at low risk, 17 patients (53.1%) at intermediate risk and 3 patients at high risk according to Children's Oncology Group (COG) risk classification system. All patients underwent tumor resection. Postoperatively Horner's syndrome occurred in 13 patients (40.6%), pneumonia in 9 patients (28.1%), pharyngeal dysfunction in 8 patients (25.0%) and transient hoarseness in 4 patients (12.5%). At a median follow-up of 36.5 months, the overall survival rate was 96.4%, with no significant difference between incomplete and complete resection groups (100.0% vs. 96.3%, χ²=0.19, P=0.667); the event free survival rate was 78.1%, with a significant difference between the two groups (40.0% vs. 85.2%, χ²=6.71, P=0.010). Conclusions: Primary cervical neuroblastoma has a young onset age, mostly in low and medium risk groups, and represents favorable lesions with good outcomes after multidisciplinary therapy. Less aggressive surgery with preservation of important structures is recommended. Complete resection should not be attempted if it would compromise vital structures.

Detection of blaKPC and blaNDM genes by duplex PCR with lateral flow dipsticks from sterile body fluid samples

Duplex polymerase chain reaction with lateral flow dipsticks (duplex PCR-LFD) was developed for the simultaneous detection of beta-lactamase Klebsiella pneumoniae carbapenemase (bla_KPC ) and beta-lactamase New Dehli metallo-beta-lactamase (bla_NDM ) genes in body fluid samples. This method was validated using well-characterized isolates. The assessment of the specificity of duplex PCR-LFD showed that there was no cross-reactivity with other targets. The detection limit of the duplex PCR-LFD assay was 20 CFU per ml for bla_KPC and bla_NDM . Among 177 sterile body fluid samples tested by the duplex PCR-LFD assay, 40 were bla_KPC -positive and five were bla_NDM -positive. The results obtained from 122 corresponding Gram-negative bacteria which were isolated from these clinical samples and tested by duplex PCR-LFD assay showed that there were 37 strains carrying bla_KPC genes in 40 bla_KPC -positive samples and three strains carrying bla_NDM genes in five bla_NDM -positive samples. Statistical analysis indicated that there was no significant difference between the direct detection of bla_KPC and bla_NDM genes in clinical sterile body fluid samples and their corresponding clinical isolates. Therefore, duplex PCR-LFD can be effective for the simultaneous detection of bla_KPC and bla_NDM in clinical isolates and directly from clinical samples, which may be helpful for the administration of appropriate antimicrobial treatment.

Probing serum N-glycan patterns for rapid and precise detection of Crohn's disease

Serum N-glycan patterns from 50 Crohn's disease (CD) patients and 50 healthy controls were acquired using a carbon matrix, from which eight N-glycans with significant difference were screened out to reveal remarkale performance for CD diagnosis. This research is expected to help future glycan-based disease detection not limited to CD.

[Genomic investigation of human Streptococcus suis infection in Shandong Province]

To investigate Streptococcus suis (S.suis) isolated from patients in Shandong province using genomic epidemiology and pathogenologic analysis. To provide the foundation to establish reasonable and accurate prevention and control measures of human S. suis infection. Molecular typing, whole genome phylogenetic tree, virulence gene typing, antibiotic resistance profile and mobile genetic elements carrying antibiotic resistance genes of isolated S. suis strains were investigated. The pathogenicity of isolated strains was also evaluated by comparing their capacity to induce pro-inflammatory cytokine production in vitro. S. suis infections in Shandong province were predominantly due to serotype 2 and sequence type 1 strains. The major symptoms were meningitis. The studied strains could be divided into five lineages. All strains belong to highly pathogenic type in Shandong province,Strains from lineage 2 possessed higher capacity to stimulate pro-inflammatory cytokine production than other strains did, even though other strains belong to highly pathogenic strains. In addition, multiple antibiotic resistance genes and corresponding mobile genetic elements werewidespread in S. suis strains from Shandong province, except strains from lineage 3. High diversities in genome, evolutionary path and pathogenicity of S. suis strains from Shandong province were revealed. It was necessary to surveillant the S. suis strain in genomic level.

Specific enrichment and glycosylation discrepancy profiling of cellular exosomes using a dual-affinity probe

A hydrophilic probe is employed to enrich exosomes from three kinds of cancer cells by TiO2-phosphate interaction and exosomal glycoproteins by hydrophilic interaction in succession. The probe performs efficiently in both the enrichment processes. And the analytical results confirm that unique exosomal glycoproteins can distinguish parent exosomes from others.

One-step fabrication of strongly hydrophilic mesoporous silica for comprehensive analysis of serum glycopeptidome

Glycopeptidome represents reliable predictors of physiological and pathological status. Obstructions mainly including low abundance of endogenous glycopeptides and varied interference necessitate glycopeptide enrichment prior to MS analysis. Inspired by the prevalence of hydrophilic interaction chromatography for glycopeptide enrichment, a novel magnetic mesoporous silica nanomaterial (Fe₃O₄@mSiO₂-TSG) with strongly hydrophilic property was developed through a one-pot method. In this work, the gluconamide-containing organosilane is innovatively proposed to directly serve as the strongly hydrophilic silica source for fabrication of hydrophilic mesoporous silica nanomaterial for glycopeptidomics research. Apart from excellent hydrophilicity, Fe₃O₄@mSiO₂-TSG also was equipped with large specific surface area, ordered mesopore channels and great magnetic responsiveness. With all the advantages, Fe₃O₄@mSiO₂-TSG displayed remarkable size-exclusion effect and considerable reusability. Moreover, combined with nano-LC-MS/MS, the glycopeptidome of serum from breast cancer patients was analyzed comprehensively, which showed noteworthy difference from healthy serum through gene ontology analysis, indicating great potential of the approach for glycopeptidomics research.

[Survival analysis of silicosis patients in Wuxi City]

Objective: To analyze the living condition and influencing factors of silicosis patients in Wuxi City form 1975 to 2019. Methods: Through the monitoring of death causes of residents, the paper-based materials and online report system of diagnosis over the years, and the combination of public security and human social system to obtain 3721 cases of silicosis patients as subjects form August to December 2019. And the combination of Kaplan Meier method and life table method were used to carry out single factor survival analysis. Through Cox regression model to analyze the factors affecting the survival time of patients. Results: From 1975 to 2019, 3721 cases of silicosis and 1274 deaths have been reported in Wuxi City, with a mortality rate of 34.24% and a median survival time of 30.9 years. With the development of diagnosis time, the mortality decreased significantly (χ(2)=747.75, P<0.05) . Compared with the first stage silicosis patients, the risk of decreased survival time of the third stage silicosis patients increased (HR=1.486, P<0.05) . Compared with the non-smoking patients, the risk of decreased survival time of the smoking patients increased (HR=1.136, P<0.05) . Compared with the patients who were less than 30 years old, the risk of decreased survival time of patients with 40-49 years old, 50-59 years old and more than 60 years old were increased (HR=9.641, 13.650, 26.794, P<0.05) . Compared with the patients who received industrial and commercial insurance, the risk of decreased survival time of patients who received compensation from employers, basic medical insurance for urban and rural residents, other social compensation and no compensation were increased (HR=3.137, 3.119, 5.129, 8.442, P<0.05) . Conclusion: The survival time of silicosis patients is related to the stage of silicosis, smoking condition, age of onset and social compensation. We should focus on controlling the above risk factors so as to improve the quality of life of patients and prolong their lives.

Enhanced specificity of bimetallic ions via mesoporous confinement for phosphopeptides in human saliva

Phosphopeptides were of great significance in disease diagnosis and monitoring its dynamic changes. In this article, we proposed a more efficient method to synthesize a kind of bimetallic mesoporous silica nanomaterials (Fe₃O₄@mSiO₂-PO₃-Ti⁴⁺/Zr⁴⁺) and applied it to the analysis of phosphopeptides in human saliva samples based on IMAC technology. The chelation group was introduced into mesopores at the same time as the formation of mesoporous silica which significantly reduced the synthesis procedure and improved the synthesis efficiency. The as-prepared materials showed great sensitivity, selectivity and size-exclusion performance for phosphopeptides in standard β-casein digests. More importantly, the materials identified 85 phosphopeptides in disease saliva samples which provided a candidate choice in future clinical examination.

Inactivation of lncRNA HOTAIRM1 caused by histone methyltransferase RIZ1 accelerated the proliferation and invasion of liver cancer

OBJECTIVE

Liver cancer is the second most common cause of cancer death, causing more than 700,000 deaths every year. It has been demonstrated that Long non-coding RNA (LncRNA) plays an important regulatory role in a series of diseases. However, the regulatory mechanism of LncRNAs in liver cancer has not been fully elucidated. The purpose of this study was to explore the interaction of lncRNA HOTAIRM1 and aberrant histone modification in liver cancer.

MATERIALS AND METHODS

qRT-PCR was used to detect the expression levels of RIZ1 and miR-125b in liver cancer cells. Cell proliferation was measured using the CCK8 assay. ChIP-Real-time PCR confirmed the binding site of the promoter of HOTAIRM1 by H3K9me1. The direct target of HOTAIRM1 and miR-125b in liver cancer cells was measured by a luciferase reporter assay. Cell proliferation was detected by Cell Counting Kit-8 (CCK8). Cell invasion was measured by transwell assays and cell migration was detected by wound healing assay.

RESULTS

The expression level of RIZ1 and miR-125b was upregulated, and HOTAIRM1 was downregulated in liver cancer cells. Transwell and CCK-8 assay showed that RIZ1 expression is associated with the proliferation, invasion and migration of liver cancer cells, silencing of RIZ1 inhibited cell proliferation, migration, and invasion in HEPG2 and HCC-LM3 cells. RIZ1 interference could significantly inhibit H3K9me1 expression. H3K9me1 protein can bind to HOTAIRM1 promoter directly. Furthermore, the bioinformatics prediction and luciferase assay demonstrated that miR-125b can interact with HOTAIRM1 by direct binding. HOTAIRM1 down-expression promoted HEPG2 cell growth and metastasis, which was further strengthened following the co-transfection of miR-125b. Furthermore, overexpressed HOTAIRM1 inhibited HCC-LM3 cell growth and metastasis and a complete reversal of the results seen when transfected with miR-125b.

CONCLUSIONS

For the first time, we found that RIZ1 was upregulated in liver cancer cells and RIZ1-mediated H3K9me1 enrichment on the HOTAIRM1 promoter regulated the growth and metastasis of liver cancer cells by targeting miR-125b, which could further accelerate tumor proliferation, migration and invasion. It may serve as a therapeutic marker for liver cancer treatment.