Altered tumor microenvironment heterogeneity of penile cancer during progression from non-lymphatic to lymphatic metastasis.

BACKGROUND: Lymphatic metastasis is the major challenge in the treatment of penile cancer. The prognosis of individuals with lymphatic metastasis is extremely poor. Therefore, early identification of disease progression and lymphatic metastasis is an urgent task for researchers in penile cancer worldwide. METHODS: In this study, using single-cell RNA sequencing, an immune landscape was established for the cancer ecosystem based on 46,861 cells from six patients with penile cancer (four with lymphatic metastasis [stage IV] and two without lymphatic metastasis [stage I]). Using bulk RNA sequencing, the discrepancy between the cancers and their respective metastatic lymph nodes was depicted based on seven patients with penile cancer. RESULTS: The interaction between epithelial cells, fibroblasts, and endothelial cells, and the functional cooperation among invasion, epithelial-mesenchymal transition, and angiogenesis were found to be important landscapes in the penile cancer ecosystem, playing important roles in progression of cancer and lymph node metastasis. CONCLUSIONS: This study is the first to investigate the altered tumor microenvironment heterogeneity of penile cancer as it evolves from non-lymphatic to lymphatic metastasis and provides insights into the mechanisms underlying malignant progression, the premetastatic niche, and lymphatic metastasis in penile cancer.

The Role of JAK-STAT-SOCS1 Axis in Tumorigenesis, Malignant Progression and Lymphatic Metastasis of Penile Cancer.

Background: To uncover the potential significance of JAK-STAT-SOCS1 axis in penile cancer, our study was the pioneer in exploring the altered expression processes of JAK-STAT-SOCS1 axis in tumorigenesis, malignant progression and lymphatic metastasis of penile cancer. Methods: In current study, the comprehensive analysis of JAK-STAT-SOCS1 axis in penile cancer was analyzed via multiple analysis approaches based on GSE196978 data, single-cell data (6 cancer samples) and bulk RNA data (7 cancer samples and 7 metastasis lymph nodes). Results: Our study observed an altered molecular expression of JAK-STAT-SOCS1 axis during three different stages of penile cancer, from tumorigenesis to malignant progression to lymphatic metastasis. STAT4 was an important dominant molecule in penile cancer, which mediated the immunosuppressive tumor microenvironment by driving the apoptosis of cytotoxic T cell and was also a valuable biomarker of immune checkpoint inhibitor treatment response. Conclusions: Our findings revealed that the complexity of JAK-STAT-SOCS1 axis and the predominant role of STAT4 in penile cancer, which can mediate tumorigenesis, malignant progression, and lymphatic metastasis. This insight provided valuable information for developing precise treatment strategies for patients with penile cancer.

Comprehensive analysis of pain genes in prognosis of kidney renal clear cell carcinoma and tumor immunotherapy: A comprehensive bioinformatic study.

Background: The effect of pain genes (NAV1, EHMT2, SP1, SLC6A4, COMT, OPRM1, OPRD1, CYP2D6, and CYP3A4) have not been reported previously in kidney renal clear cell carcinoma (KIRC) patients and thus we made a comprehensive analysis of pain genes in the prognosis of KIRC and tumor immunotherapy. Methods: In this study, TCGA, Kaplan-Meier plotter, Metascape, STRING, Human Protein Atlas, Single Cell Expression Atlas database, LinkedOmics, cBioPortal, MethSurv, CancerSEA, COSMIC database and R package (ggplot2, version 3.3.3) were used for comprehensive analysis of pain genes in KIRC. Pearson and Spearman correlation coefficients were for co-expression analysis. Immunotherapy and TISIDB database were used for tumor Immunotherapy. Results: Representative pain genes (SP1, SLC6A4, COMT, OPRD1, CYP2D6, and CYP3A4) were statistically significant (p < 0.0001) in the prognosis of KIRC. Immunotherapy (anti-PD-1 therapy, anti-PD-L1 therapy, and anti-CTLA4 therapy) and immunomodulator (immunoinhibitor, immunostimulator, and MHC molecule) in KIRC were significant associated with pain genes (SP1, SLC6A4, COMT, OPRD1, CYP2D6, and CYP3A4), which were the important addition to clinical decision making for patients. Conclusions: Our study uncovered a mechanism for the effect of pain genes on KIRC outcome via the modulation of associated co-expression gene networks, gene variation, and tumor Immunotherapy.

Discovery of the covalent SARS-CoV-2 Mpro inhibitors from antiviral herbs via integrating target-based high-throughput screening and chemoproteomic approaches.

The main proteases (Mpro ) are highly conserved cysteine-rich proteins that can be covalently modified by numerous natural and synthetic compounds. Herein, we constructed an integrative approach to efficiently discover covalent inhibitors of Mpro from complex herbal matrices. This work begins with biological screening of 60 clinically used antiviral herbal medicines, among which Lonicera japonica Flos (LJF) demonstrated the strongest anti-Mpro effect (IC50 = 37.82 µg/mL). Mass spectrometry (MS)-based chemical analysis and chemoproteomic profiling revealed that LJF extract contains at least 50 constituents, of which 22 exhibited the capability to covalently modify Mpro . We subsequently verified the anti-Mpro effects of these covalent binders. Gallic acid and quercetin were found to potently inhibit severe acute respiratory syndrome coronavirus 2 Mpro in dose- and time- dependent manners, with the IC50 values below 10 µM. The inactivation kinetics, binding affinity and binding mode of gallic acid and quercetin were further characterized by fluorescence resonance energy transfer, surface plasmon resonance, and covalent docking simulations. Overall, this study established a practical approach for efficiently discovering the covalent inhibitors of Mpro from herbal medicines by integrating target-based high-throughput screening and MS-based assays, which would greatly facilitate the discovery of key antiviral constituents from medicinal plants.

Clinical characterization and proteomic profiling of lean nonalcoholic fatty liver disease.

Introduction: Obesity has been historically associated with nonalcoholic fatty liver disease (NAFLD), but it can also occur in lean individuals. However, limited data is available on this special group. To investigate the clinical and proteomic characteristics of lean subjects with NAFLD, and to identify potential clinical variables and plasma proteins for diagnosing NAFLD in lean individuals, we collected clinical data from a large cohort of 2,236 subjects. Methods: Diagnosis of NAFLD relied on detecting pronounced hepatic steatosis through abdominal ultrasonography. Participants were categorized into four groups based on body mass index: overweight NAFLD, overweight control, lean NAFLD, and lean control. Plasma proteomic profiling was performed on samples from 20 subjects in each group. The lean NAFLD group was compared to both lean healthy and obese NAFLD groups across all data. Results and discussion: The results indicated that the lean NAFLD group exhibited intermediate metabolic profiles, falling between those of the lean healthy and overweight NAFLD groups. Proteomic profiling of plasma in lean subjects with or without NAFLD revealed 45 statistically significant changes in proteins, of which 37 showed high diagnostic value (AUC > 0.7) for lean NAFLD. These potential biomarkers primarily involved lipid metabolism, the immune and complement systems, and platelet degranulation. Furthermore, AFM, GSN, CFH, HGFAC, MMP2, and MMP9 have been previously associated with NAFLD or NAFLD-related factors such as liver damage, insulin resistance, metabolic syndromes, and extracellular homeostasis. Overall, lean individuals with NAFLD exhibit distinct clinical profiles compared to overweight individuals with NAFLD. Despite having worse metabolic profiles than their healthy counterparts, lean NAFLD patients generally experience milder systemic metabolic disturbances compared to obese NAFLD patients. Additionally, the plasma proteomic profile is significantly altered in lean NAFLD, highlighting the potential of differentially expressed proteins as valuable biomarkers or therapeutic targets for diagnosing and treating NAFLD in this population.

Identification of Family with Sequence Similarity 110 Member C (FAM110C) as a Candidate Diagnostic and Prognostic Biomarker for Glioma.

Background: Gliomas are the most frequent and dangerous primary cerebral tumors. Therefore, there is a need to develop molecular targets for the diagnosis and treatment for glioma. Methods: In September 2020, we retrieved the expression matrix of glioblastoma (GBM) sufferers and pertinent clinical data from the TCGA (The Cancer Genome Atlas) database. Prognostic differences between various families with sequence similarity 110 member C (FAM110C) expression groups were assessed by Kaplan-Meier with log-rank test. The R platform get used to assess the accuracy of FAM110C delivery in predicting the prognosis of PDAC using a time-dependent receptor operating characteristic (ROC) curve. The delivery level of FAM110C was determined by qRT-PCR and western blot. Gene set enrichment investigated possible mechanisms between different FAM110C expression groups in GBM (GSEA). The impact of FAM110C on glioma cell movement was discovered using migration test. The drug's gene-targeting impact was validated by the CCK8 test. Results: A total of 173 GBM samples were obtained from the TCGA database, with 148 including information on IDH1 mutations and 151 containing information on overall survival. The mRNA expression level of FAM110C was greater in wild-type GBM, according to qRT-PCR data. The connection between FAM110C expression and Hallmark, GO, and KEGG pathway gene sets was investigated using GSEA software. We used migration test to assess the impact of FAM110C on glioma motility in order to confirm the findings of the GSEA analysis. Conclusion: FAM110C might get used as a possible diagnostic and prognostic biomarker for wild-type GBM, and its inhibition could be used to prevention and treatment wild-type GBM.

Towards an integrative hope-dysfunctional beliefs perspective to personal recovery in schizophrenia: a path analysis.

BACKGROUND: Evidence shows that negative symptoms of schizophrenia and underlying dysfunctional cognition are related to persistently low functioning and quality of life. However, despite the abundance of existing recovery programs for people with schizophrenia, few have examined whether and how the widely-adopted hope-motivation recovery pathway and the deficit-oriented cognitive pathway might converge to influence functioning and quality of life. METHODS: A cross-sectional, quantative survey recruited a convenient sample of adult outpatients with DSM-5 schizophrenia spectrum disorders and low social functioning (n = 124). Self-reported measurements included personal recovery (30-item Mental Health Recovery Measure), social functioning (8-item Social Functioning Questionnaire), hope (12-item Hope Scale), quality of life (28-item World Health Organization Quality of Life Scale-Abbreviated Version-Hong Kong), defeatist beliefs (15-item extracted from Dysfunctional Attitude Scale), and asocial beliefs (15-item extracted from Revised Social Anhedonia Scale). Correlation analysis and structural equation modelling was applied to investigate how the two pathways intertwined to predict social functioning and quality of life. RESULTS: Asocial beliefs and hope separately mediated two partial mediation pathways from defeatist beliefs to recovery outcomes (social functioning and personal recovery). Meanwhile, defeatist beliefs, social functioning, and personal recovery further predicted quality of life. CONCLUSIONS: This is one of the very few studies that provides empirical evidence of a deficit-strength linkage in the recovery from schizophrenia. Remediation of dysfunctional beliefs and the injection of hope and successful experiences should be undertaken concurrently in recovery as they are associated with differential effects on enhancing social functioning and personal recovery, which then converge and contribute to a better quality of life.

Adults' and older adults' mental health during COVID-19 in Hong Kong: An ecological analysis of family resilience.

INTRODUCTION: Based on an ecological model of resilience, this study aimed to identify common and differential ecological risk and protective factors influencing the psychological health of general adult population (aged 18-60) and older adults (older than 60) in Hong Kong during the COVID-19 pandemic. METHOD: A population-based random telephone survey was conducted in 2020, and 877 respondents in Hong Kong (308 older adults, i.e., older than 60; 569 adults, i.e., aged 18-60) were interviewed. Multiple group structural equation modeling was used to examine the proposed model. RESULTS: Chinese older adults in Hong Kong reported significantly lower levels of psychological distress than adults, and no difference in levels of family functioning was evident between the two groups. Community resources and family functioning served as important protectors for both groups. Parent-child conflicts were a significant mediator between COVID-19 stressors and psychological distress for adults only, while a decreasing level of outdoor family leisure served as a significant mediator for older adults only. DISCUSSION: The findings highlighted the importance of providing family- and community-based mental health services for Chinese people facing a public health crisis such as COVID-19 in Hong Kong. Mental health services designed for adult and older adult family members should emphasize different components. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Longitudinal modifiable risk and protective factors of internet gaming disorder: A systematic review and meta-analysis.

Background and aims: The study aims to thoroughly understand the causal and precedent modifiable risk or protective factors for Internet Gaming Disorder (IGD), a newly defined and prevalent mental disorder. Methods: We performed a systematic review on quality-designed longitudinal studies based on five online databases: MEDLINE, PsycINFO, Embase, PubMed, and Web of Science. Studies were included in the meta-analysis if they addressed IGD, adopted longitudinal, prospective, or cohort study designs, presented modifiable factors of IGD, and reported the effect sizes for correlations. Pooled Pearson's correlations were calculated using the random effects model. Results: Thirty-nine studies with 37,042 subjects were included. We identified 34 modifiable factors, including 23 intrapersonal factors (e.g., gaming time, loneliness, etc.), 10 interpersonal factors (e.g., peer relationship, social support, etc.), and 1 environmental factor (i.e., school engagement). Age, the male ratio, study region, and study years were significant moderators. Discussion and conclusions: Intrapersonal factors were stronger predictors than interpersonal and environmental factors. It may imply that individual-based theories are more powerful to explain the development of IGD. Longitudinal research on the environmental factors of IGD was lacking; more studies are warranted. The identified modifiable factors would help to guide effective interventions for IGD reduction and prevention.

Discovery and characterization of the covalent SARS-CoV-2 3CLpro inhibitors from Ginkgo biloba extract via integrating chemoproteomic and biochemical approaches.

BACKGROUND: The 3C-like proteases (3CLpros) are cysteine-rich homodimeric proteins and can be covalently modified by numerous natural and synthetic compounds, which in turn, block the proteolytic activity or the formation of enzymatically active dimeric forms. Although herbal medicines have been widely used to treat COVID-19, identification of the key herbal constituents that can covalently modify the 3CLpros in ß-coronaviruses (CoVs) remains a big challenge. AIMS: To construct a comprehensive approach for efficient discovering the covalent SARS-CoV-2 3CLpro inhibitors from herbal medicines. To decipher the key anti-SARS-CoV-2 3CLpro constituents in Ginkgo biloba extract 50 (GBE50) and to study their anti-SARS-CoV-2 3CLpro mechanisms. METHODS: SARS-CoV-2 3CLpro inhibition assay including time-dependent inhibition assays and inactivation kinetic analyses were conducted using a fluorescence-based biochemical assay. The constituents in GBE50 were analyzed by UHPLC-Q-Exactive Orbitrap HRMS. The peptides modified by herbal constituents were characterized by using nanoLC-MS/MS. RESULTS: Following testing the anti-SARS-CoV-2 3CLpro effects of 104 herbal medicines, it was found that Ginkgo biloba extract 50 (GBE50) potently inhibited SARS-CoV-2 3CLpro in dose- and time-dependent manners. A total of 38 constituents were identified from GBE50 by UHPLC-Q-Exactive Orbitrap HRMS, while 26 peptides modified by 18 constituents were identified by chemoproteomic profiling. The anti-SARS-CoV-2 3CLpro effects of 18 identified covalent inhibitors were then validated by performing time-dependent inhibition assays. The results clearly demonstrated that most tested constituents showed time-dependent inhibition on SARS-CoV-2 3CLpro, while gallocatechin and sciadopitysin displayed the most potent anti-SARS-CoV-2 3CLpro effects. CONCLUSION: Collectively, GBE50 and some constituents in this herbal product could strongly inhibit SARS-CoV-2 3CLpro in dose- and time-dependent manner. Gallocatechin and sciadopitysin were identified as potent SARS-CoV-2 3CLpro inhibitors, which offers promising lead compounds for the development of novel anti-SARS-CoV-2 drugs.

Cell Metabolomics Reveals the Potential Mechanism of Aloe Emodin and Emodin Inhibiting Breast Cancer Metastasis.

Metastasis is one of the main obstacles for the treatment and prognosis of breast cancer. In this study, the effects and possible mechanisms of aloe emodin (AE) and emodin (EMD) for inhibiting breast cancer metastasis were investigated via cell metabolomics. First, a co-culture model of MCF-7 and HUVEC cells was established and compared with a traditional single culture of MCF-7 cells. The results showed that HUVEC cells could promote the development of cancer cells to a malignant phenotype. Moreover, AE and EMD could inhibit adhesion, invasion, and angiogenesis and induce anoikis of MCF-7 cells in co-culture model. Then, the potential mechanisms behind AE and EMD inhibition of MCF-7 cell metastasis were explored using a metabolomics method based on UPLC-Q-TOF/MS multivariate statistical analysis. Consequently, 27 and 13 biomarkers were identified in AE and EMD groups, respectively, including polyamine metabolism, methionine cycle, TCA cycle, glutathione metabolism, purine metabolism, and aspartate synthesis. The typical metabolites were quantitatively analyzed, and the results showed that the inhibitory effect of AE was significantly better than EMD. All results confirmed that AE and EMD could inhibit metastasis of breast cancer cells through different pathways. Our study provides an overall view of the underlying mechanisms of AE and EMD against breast cancer metastasis.

FAM84B promotes the proliferation of glioma cells through the cell cycle pathways.

BACKGROUND: This study aimed to investigate FAM84B expression in glioma tissues and explore the role of FAM84B in promoting the proliferation of glioma cells and the mechanism of regulating the cell cycle pathways. METHODS: The TCGA database was adopted to analyze FAM84B expression in glioma tissues. The FAM84B expression was detected by qRT-PCR in patients with glioma, especially that in glioma cells, U251, LN-229, U98, and U87. Two glioma cell lines U87 and T98 were selected for siRNA transfection, which were divided into si-NC si-FAM84B-1 and si-FAM84B-2 groups. The effect of FAM84B on the proliferation of glioma cells was detected with the MTT experiment and that on the glioma cell cycle was detected with the flow cytometry. The signaling pathways potentially regulated by FAM84B in glioma were analyzed through the bioinformatics analysis. The expression of proteins, Cyclin D1, CDK4, Cdk6, and p21, in the cell cycle-related pathways in cells of each group was detected by the Western blot. RESULTS: TCGA database results showed a significantly higher FAM84B expression in glioma tissues than that in paracancerous tissues. According to the detection of qRT-PCR, FAM84B expressed the highest in the glioma cell line U87 (P < 0.05). Compared with the serum of healthy controls, FAM84B mRNA expression significantly increased in patients with gliomas. And compared with the si-NC group, the proliferation ability of U87 and T98 cells decreased and the cell cycle was blocked in the G0/G1 phase in both si-FAM84B transfection groups (P < 0.05). According to the bioinformatics analysis, FAM84B regulated the cell cycle pathways in glioma. FAM84B siRNA inhibited the expression of key proteins, Cyclin D1, CDK2, CDK4, and Cdk6, of the cell cycle pathways in glioma cells and promoted the expression of P53 and P21 proteins. CONCLUSIONS: In conclusion, FAM84B may inhibit the proliferation of glioma cells by regulating the cell cycle pathways.

Native Mass Spectrometry Coupled to Spectroscopic Methods to Investigate the Effect of Soybean Isoflavones on Structural Stability and Aggregation of Zinc Deficient and Metal-Free Superoxide Dismutase.

The deficiency or wrong combination of metal ions in Cu, Zn-superoxide dismutase (SOD1), is regarded as one of the main factors causing the aggregation of SOD1 and then inducing amyotrophic lateral sclerosis (ALS). A ligands-targets screening process based on native electrospray ionization ion mobility mass spectrometry (ESI-IMS-MS) was established in this study. Four glycosides including daidzin, sophoricoside, glycitin, and genistin were screened out from seven soybean isoflavone compounds and were found to interact with zinc-deficient or metal-free SOD1. The structure and conformation stability of metal-free and zinc-deficient SOD1 and their complexes with the four glycosides was investigated by collision-induced dissociation (CID) and collision-induced unfolding (CIU). The four glycosides could strongly bind to the metal-free and copper recombined SOD1 and enhance the folding stability of these proteins. Additionally, the ThT fluorescence assay showed that these glycosides could inhibit the toxic aggregation of the zinc-deficient or metal-free SOD1. The competitive interaction experiments together with molecular docking indicate that glycitin, which showed the best stabilizing effects, binds with SOD1 between ß-sheet 6 and loop IV. In short, this study provides good insight into the relationship between inhibitors and different SOD1s.

Family functioning under COVID-19: An ecological perspective of family resilience of Hong Kong Chinese families.

This study tested an ecological model of resilience that illustrated the influence of COVID-19-related stressors (i.e., social and health stressors) and various socio-ecological factors at microsystem (i.e., parent-child conflicts and couple relationship) and exo-system levels (i.e., the utilization of community resources) on family functioning among Chinese families during COVID-19. An anonymous telephone survey was conducted using random sampling method. The sample contained 322 respondents who were co-habiting with their child(ren) and their partner. Hierarchical regression analysis and structural equation modelling were used to examine the differential impacts of various levels of factors and the model that were proposed. Results showed that 13.2% of the households were categorized as at-risk of poorer family functioning. Couple relationship and stressors significantly accounted for much of the variance in family functioning. While stressors had a significant direct effect on family functioning, couple relationship, but not parent-child conflicts or utilization of community resources, significantly mediated and moderated the impact of stressors on family functioning. The findings highlighted the impacts of both individual and ecological factors on family functioning under COVID-19. Importantly, cultural and contextual factors should be considered when adopting ecological model of resilience to examine family functioning in diverse cultural groups.

Unfolding and aggregation of oxidized metal-deficient superoxide dismutase and isoflavone inhibition based on ion mobility mass spectrometry and ThT fluorescence assay.

Structurally abnormal Cu, Zn-superoxide dismutase (SOD1) is considered one of the causes of amyotrophic lateral sclerosis. The misfolding and neurotoxic aggregation of SOD1 can be induced by mutations, metal deficiency, and post-translational modification. Here, we revealed the risk of oxidation damage on zinc-deficient SOD1 by native mass spectrometry coupled with ion mobility. The copper ions were found to be released in the early period of oxidation which may be the result of oxidation on its binding site. On the other hand, zinc-deficient SOD1 showed a faster and deeper dissociation tendency than SOD1 with no metal ions. The results of collision-induced unfolding indicated that the oxidized zinc-deficient SOD1 is more easily to be turned into totally unfolded conformation. ThT fluorescence also showed stronger aggregation of oxidized zinc-deficient SOD1. Compared with DTT-induced reduction, oxidized zinc-deficient SOD1 acted differently in dimer dissociation, conformation stability, and aggregation, suggesting that the conserved intramolecular disulfide bonds were influenced little during oxidation. Additionally, we explored glycitin, an isoflavone glycoside, to prevent the oxidation of metal-deficient SOD1 and inhibit the unfolding and aggregation of oxidized metal-deficient SOD1.

Inhibitory Effect of Ursolic Acid on the Migration and Invasion of Doxorubicin-Resistant Breast Cancer.

The cause of death in most breast cancer patients is disease metastasis and the occurrence of multidrug resistance (MDR). Ornithine decarboxylase (ODC), which is involved into multiple pathways, is closely related to carcinogenesis and development. Ursolic acid (UA), a natural triterpenoid compound, has been shown to reverse the MDR characteristics of tumor cells. However, the effect of UA on the invasion and metastasis of tumor cells with MDR is not known. Therefore, we investigated the effects of UA on invasion and metastasis, ODC-related polyamine metabolism, and MAPK-Erk-VEGF/MMP-9 signaling pathways in a doxorubicin-resistant breast cancer cell (MCF-7/ADR) model. The obtained results showed that UA significantly inhibited the adhesion and migration of MCF-7/ADR cells, and had higher affinities with key active cavity residues of ODC compared to the known inhibitor di-fluoro-methyl-ornithine (DFMO). UA could downregulate ODC, phosphorylated Erk (P-Erk), VEGF, and matrix metalloproteinase-9 (MMP-9) activity. Meanwhile, UA significantly reduced the content of metabolites of the polyamine metabolism. Furthermore, UA increased the intracellular accumulation of Dox in MCF-7/ADR cells. Taken together, UA can inhibit against tumor progression during the treatment of breast cancer with Dox, and possibly modulate the Erk-VEGF/MMP-9 signaling pathways and polyamine metabolism by targeting ODC to exert these effects.

Screening apo-SOD1 conformation stabilizers from natural flavanones using native ion mobility mass spectrometry and fluorescence spectroscopy methods.

RATIONALE: A large number of studies have shown that the production of aberrant and deleterious copper zinc superoxide dismutase (SOD1) species is closely related to amyotrophic lateral sclerosis (ALS). Therefore, it is of great significance to screen effective inhibitors of misfolding and aggregation of SOD1 for treating ALS disease. METHODS: The interaction between flavanone compounds with apo-SOD1was investigated using native electrospray ion mobility mass spectrometry (native ESI-IM-MS). Binding affinities of ligands were compared using native MS, ESI-MS/MS, collision-induced unfolding, and competitive experiments. The effect of ligands on apo-SOD1 aggregation was investigated using the fluorescence spectroscopy method. RESULTS: The results of MS showed that the binding affinity of liquiritin apioside was the strongest, better than the corresponding monosaccharide and aglycone, indicating that the presence and the number of glycosyl group are beneficial to enhance ligand affinity to protein. The results of fluorescence spectroscopy for inhibiting protein aggregation in vitro were consistent with the binding affinity. In addition, the results of the collision-induced unfolding indicated that liquiritin apioside can slow down the unfolding of the protein. Meanwhile, the results of competition experiment suggested that liquiritin apiosides share different binding sites with naringin and 5-fluorouridine, which are significant for the structural stability of SOD1. CONCLUSIONS: This study revealed that the binding of liquiritin apioside can stabilize apo-SOD1 dimer and inhibit the aggregation of apo-SOD1, and illustrated that native ESI-IM-MS is a powerful tool for providing insight into investigating the structure-activity relationship between small molecules and protein, and screening protein conformation stabilizers.

Serum Metabolomics in Patients with Coexisting NAFLD and T2DM Using Liquid Chromatography-Mass Spectrometry.

OBJECTIVE: Nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM) frequently coexist and can act synergistically to drive adverse outcomes of one another. This study aimed to unravel the metabolomic changes in patients with NAFLD and T2DM, to identify potential noninvasive biomarkers, and to provide insights for understanding the link between NAFLD and T2DM. METHODS: Three hundred participants aged 35 to 70 years who were diagnosed with NAFLD (n = 100), T2DM (n = 100), or a comorbidity of NAFLD and T2DM (n = 100) were included in this study. Anthropometrics and routine blood chemistry were assessed after overnight fast. The global serum metabolomic analysis was performed by ultra-performance liquid chromatography-Orbitrap mass spectrometry. Multivariate data analysis methods were utilized to identify the potential biomarkers. RESULTS: A set of serum biomarkers that could effectively separate NAFLD from NAFLD + T2DM and T2DM from NAFLD + T2DM were identified. We found that patients with coexisting NAFLD and T2DM had significantly higher levels of total protein (TP), triglycerides (TG), glucose in urine, and gamma-hydroxybutyric acid than those with NAFLD and had significant increased levels of TP, albumin, alanine aminotransferase, aspartate aminotransferase, total cholesterol, cholinesterase, TG, low-density lipoprotein, and apolipoprotein A when compared to patients with T2DM. CONCLUSION: The metabolomics results provide evidence that the comorbidity of NAFLD and T2DM considerably altered patients' metabolomics patterns compared to those of patients with only NAFLD or T2DM.