Multi-omics profiling reveals peripheral blood biomarkers of multiple sclerosis: implications for diagnosis and stratification.

Background: Multiple sclerosis (MS), a chronic autoimmune disorder marked by demyelination in the central nervous system, is exceptionally uncommon in China, and remains poorly understood in terms of its peripheral blood manifestations. Methods: We conducted a cohort study comprising 39 MS patients and 40 normal controls (NC). High-dimensional mass cytometry, protein arrays, and targeted metabolomics were utilized to profile immune subsets, proteins, and metabolites in blood. Differences in multi-omics signatures were scrutinized across varying MS subtypes. Results: Immune profiling demonstrated an elevation in various B cell subsets and monocytes, alongside a reduction in dendritic cells among MS patients. Proteomic data revealed a downregulation in neurotrophic and tissue repair proteins. Metabolomic assessment showed a noted decrease in anti-inflammatory molecules and sphingolipids. Integrated analysis identified distinct molecular patterns distinguishing MS from controls. Additionally, multi-omics differences among different MS subtypes were uncovered. Notably, hippuric acid levels was consistently lower in MS subgroups with greater disease severity. Conclusion: This study represents the pioneering exploration of multi-omics in Chinese MS patients, presenting a comprehensive view of the peripheral blood changes in MS. Our study underscores the robust capability of multi-omics assessments in identifying peripheral blood biomarkers that delineate the varied clinical presentation, and facilitates future development of biomarkers and targeted therapeutic interventions in MS.

Self-Assembled Perylene Diimide (PDI) Nanowire Sensitized In2O3@MgIn2S4 S-Scheme Heterojunction as Photoelectrochemical Biosensing Platform for the Detection of CA15-3.

Inorganic/organic heterojunctions show promising applications as high-performance sensing platforms for photoelectrochemical (PEC) immunosensors. This work reports constructing a PEC biosensor for CA15-3 based on a self-assembled perylene diimide (PDI) nanowire sensitized In2O3@MgIn2S4 S-scheme heterojunction platform. P-type semiconductor Cu2O nanoparticles were designed as a signal burst source and were used as immunoassay labels. The carboxyl group on self-assembled PDI nanowires eliminates the step of additional surface functionalization for covalent immobilization of the capture elements. The π-π stacking of PDI enhances electron generation efficiency, while the carboxylic acid groups on PDI promote electron transfer. The performance of the constructed sensor was validated using CA15-3 as a model. The experimental results showed that the sensor based on In2O3@MgIn2S4/PDI has excellent selectivity, stability, and reproducibility, and can sensitively detect CA15-3 in the range of 0.001-100 U·mL-1 with the detection limit of 0.00056 U·mL-1. The sensor has a broad application prospect. It is hoped that this research work based on the unique advantages of the organic compound PDI will inspire other researchers to design light-responsive materials and promote the development of the field of photoelectrochemical sensing.

Comparative Analysis of Machine Learning and Deep Learning Algorithms for Assessing Agricultural Product Quality Using NIRS.

The success of near-infrared spectroscopy (NIRS) analysis hinges on the precision and robustness of the calibration model. Shallow learning (SL) algorithms like partial least squares discriminant analysis (PLS-DA) often fall short in capturing the interrelationships between adjacent spectral variables, and the analysis results are easily affected by spectral noise, which dramatically limits the breadth and depth of applications of NIRS. Deep learning (DL) methods, with their capacity to discern intricate features from limited samples, have been progressively integrated into NIRS. In this paper, two discriminant analysis problems, including wheat kernels and Yali pears as examples, and several representative calibration models were used to research the robustness and effectiveness of the model. Additionally, this article proposed a near-infrared calibration model, which was based on the Gramian angular difference field method and coordinate attention convolutional neural networks (G-CACNNs). The research results show that, compared with SL, spectral preprocessing has a smaller impact on the analysis accuracy of consensus learning (CL) and DL, and the latter has the highest analysis accuracy in the modeling results using the original spectrum. The accuracy of G-CACNNs in two discrimination tasks was 98.48% and 99.39%. Finally, this research compared the performance of various models under noise to evaluate the robustness and noise resistance of the proposed method.

Neutrophil/lymphocyte ratio and cognitive performances in first-episode patients with schizophrenia and healthy controls.

Abnormal immune and inflammatory responses are considered to contribute to schizophrenia (SZ). The neutrophil/lymphocyte ratio (NLR) is an inexpensive and reproducible marker of systemic inflammatory responses. Accumulating studies have demonstrated that NLR values are increased in SZ compared to healthy controls and closely related to clinical symptoms in antipsychotic-naïve first-episode SZ (ANFES) patients. However, to our knowledge, only one study has examined NLR in relation to neurocognition in 27 first-episode psychosis patients and 27 controls. This study aimed to examine the relationship of NLR values with cognitive performances in ANFES patients with a larger sample size. Whole blood cell counts were measured in ninety-seven ANFES patients and fifty-six control subjects. The neurocognitive functions of all subjects were measured by the repeatable battery for the assessment of neuropsychological status (RBANS). ANFES patients performed worse on cognition and had increased NLR values relative to healthy controls. In addition, increased NLR was negatively associated with cognitive functions in ANFES patients. Lymphocyte count was positively correlated with cognitive functions in patients. These findings suggest that the abnormal immune and inflammation system indicated by NLR may be involved in the cognitive functions in ANFES patients.

Diagnosis of epilepsy by machine learning of high-performance plasma metabolic fingerprinting.

Epilepsy is a chronic neurological disorder that causes a major threat to public health and the burden of disease worldwide. High-performance diagnostic tools for epilepsy need to be developed to improve diagnostic accuracy and efficiency while still missing. Herein, we utilized nanoparticle-enhanced laser desorption/ionization mass spectrometry (NELDI MS) to acquire plasma metabolic fingerprints (PMFs) from epileptic and healthy individuals for timely and accurate screening of epilepsy. The NELDI MS enabled high detection speed (∼30 s per sample), high throughput (up to 384 samples per run), and favorable reproducibility (coefficients of variation <15 %), acquiring high-performed PMFs. We next constructed an epilepsy diagnostic model by machine learning of PMFs, achieving desirable diagnostic capability with the area under the curve (AUC) value of 0.941 for the validation set. Furthermore, four metabolites were identified as a diagnostic biomarker panel for epilepsy, with an AUC value of 0.812-0.860. Our approach provides a high-performed and high-throughput platform for epileptic diagnostics, promoting the development of metabolic diagnostic tools in precision medicine.

Increased serum asprosin is correlated with diabetes mellitus-induced erectile dysfunction.

OBJECTIVE: Asprosin, a newly identified adipokine, is pathologically increased in type 2 diabetes. The aim of this study is to see whether serum asprosin concentrations are linked to diabetes mellitus-induced erectile dysfunction (DMED). METHODS: 90 male patients with type 2 diabetes were included. According to the International Index of Erectile Function (IIEF-5) score, they were classified into two groups: 45 type 2 diabetes patients without erectile dysfunction (DM group) (IIEF-5 > 21),45 patients with diabetes induced erectile dysfunction (DMED group) (IIEF-5 ≤ 21)0.45 healthy male volunteers with normal blood glucose, IIEF-5 score > 21 points, and age matched with the DMED group were included as the control group. Anthropometric and biochemical variables were determined in all participants. RESULTS: When compared to the controls, T2DM ( Type 2 Diabetes Mellitus)patients had higher serum asprosin levels. The DMED group had significantly higher serum asprosin than the T2DM groups(p < 0.001). After adjusting for multiple variables considered traditional risk factors for ED(erectile dysfunction), Asprosin can still be used as an independent risk factor for ED; The ROC(Receive Operating Characteristic Curve) indicates that asprosin has good sensitivity (97.8%) and specificity (62.2%) in predicting ED, with an area under the curve of 0.843.Correlation analysis shows that asprosin is negatively correlated with SOD(superoxide dismutase ) and positively correlated with MDA (malondialdehyde). CONCLUSION: Serum asprosin concentrations are increased in patients with DMED. Also, asprosin is correlated with oxidative stress indexes (MDA, SOD).

Association of cardiometabolic multimorbidity with all-cause and cardiovascular disease mortality among Chinese hypertensive patients.

BACKGROUND: Hypertension usually clusters with multiple comorbidities. However, the association between cardiometabolic multimorbidity (CMM) and mortality in hypertensive patients is unclear. This study aimed to investigate the association between CMM and all-cause and cardiovascular disease (CVD) mortality in Chinese patients with hypertension. METHODS: The data used in this study were from the China National Survey for Determinants of Detection and Treatment Status of Hypertensive Patients with Multiple Risk Factors (CONSIDER), which comprised 5006 participants aged 19-91 years. CMM was defined as the presence of one or more of the following morbidities: diabetes mellitus, dyslipidemia, chronic kidney disease, coronary heart disease, and stroke. Cox proportional hazard models were used to calculate the hazard ratios (HR) with 95% CI to determine the association between the number of CMMs and both all-cause and CVD mortality. RESULTS: Among 5006 participants [mean age: 58.6 ± 10.4 years, 50% women (2509 participants)], 76.4% of participants had at least one comorbidity. The mortality rate was 4.57, 4.76, 8.48, and 16.04 deaths per 1000 person-years in hypertensive patients without any comorbidity and with one, two, and three or more morbidities, respectively. In the fully adjusted model, hypertensive participants with two cardiometabolic diseases (HR = 1.52, 95% CI: 1.09-2.13) and those with three or more cardiometabolic diseases (HR = 2.44, 95% CI: 1.71-3.48) had a significantly elevated risk of all-cause mortality. The findings were similar for CVD mortality but with a greater increase in risk magnitude. CONCLUSIONS: In this study, three-fourths of hypertensive patients had CMM. Clustering with two or more comorbidities was associated with a significant increase in the risk of all-cause and cardiovascular mortality among hypertensive patients, suggesting more intensive treatment and control in this high-risk patient group.

Hydrogen production and solar energy storage with thermo-electrochemically enhanced steam methane reforming.

Hydrogen is widely regarded as a sustainable energy carrier with tremendous potential for low-carbon energy transition. Solar photovoltaic-driven water electrolysis (PV-E) is a clean and sustainable approach of hydrogen production, but with major barriers of high hydrogen production costs and limited capacity. Steam methane reforming (SMR), the state-of-the-art means of hydrogen production, has yet to overcome key obstacles of high reaction temperature and CO2 emission for sustainability. This work proposes a solar thermo-electrochemical SMR approach, in which solar-driven mid/low-temperature SMR is combined with electrochemical H2 separation and in-situ CO2 capture. The feasibility of this method is verified experimentally, achieving an average methane conversion of 96.8% at a dramatically reduced reforming temperature of 400-500 °C. The underlying mechanisms of this method are revealed by an experimentally calibrated model, which is further employed to predict its performance for thermo-electrochemical hydrogen production. Simulation results show that a net solar-to-H2 efficiency of 26.25% could be obtained at 500 °C, which is over 11 percentage points higher than that of PV-E; the first-law thermodynamic efficiency reaches up to 63.27% correspondingly. The enhanced efficiency also leads to decreased fuel consumption and lower CO2 emission of the proposed solar-driven SMR system. Such complementary conversion of solar PV electricity, solar thermal energy, and low-carbon fuel provides a synergistic and efficient means of sustainable H2 production with potentially long-term solar energy storage on a vast scale.

Guadecitabine vs TC in relapsed/refractory AML after intensive chemotherapy: a randomized phase 3 ASTRAL-2 trial.

ABSTRACT: Guadecitabine is a novel hypomethylating agent (HMA) resistant to deamination by cytidine deaminase. Patients with relapsed/refractory acute myeloid leukemia (AML) were randomly assigned to guadecitabine or a preselected treatment choice (TC) of high-intensity chemotherapy, low-intensity treatment with HMAs or low-dose cytarabine, or best supportive care (BSC). The primary end point was overall survival (OS). A total of 302 patients were randomly assigned to guadecitabine (n = 148) or TC (n = 154). Preselected TCs were low-intensity treatment (n = 233 [77%; mainly HMAs]), high-intensity chemotherapy (n = 63 [21%]), and BSC (n = 6 [2%]). The median OS were 6.4 and 5.4 months for guadecitabine and TC, respectively (hazard ratio 0.88 [95% confidence interval, 0.67-1.14]; log-rank P = .33). Survival benefit for guadecitabine was suggested in several prospective subgroups, including age <65 years, Eastern Cooperative Oncology Group performance status 0 to 1, refractory AML, and lower peripheral blood blasts ≤30%. Complete response (CR) + CR with partial hematologic recovery rates were 17% for guadecitabine vs 8% for TC (P < .01); CR+CR with incomplete count recovery rates were 27% for guadecitabine vs 14% for TC (P < .01). Safety was comparable for the 2 arms, but guadecitabine had a higher rate of grade ≥3 neutropenia (32% vs 17%; P < .01). This study did not demonstrate an OS benefit for guadecitabine. Clinical response rates were higher for guadecitabine, with comparable safety to TC. There was an OS benefit for guadecitabine in several prespecified subgroups. This study was registered at www.clinicaltrials.gov as #NCT02920008.

Immunosuppressive therapy and COVID-19 infection in patients with NMOSD.

INTRODUCTION: To evaluate whether treated with immunosuppressants in neuromyelitis optica spectrum disorder (NMOSD) shows an effect on the severity and outcomes of COVID-19 Omicron variant. METHODS: This is a substudy of a single-center clinical trial involving human umbilical cord mesenchymal stem cells (hUC-MSCs) in NMOSD patients. NMOSD patients with hUC-MSCs treatment, NMOSD patients without hUC-MSCs treatment, and matched healthy controls (HC) were included. Demographic information, NMOSD-related clinical features, comorbidities, use of disease-modifying therapy, COVID-19 vaccination status, COVID-19 clinical features, COVID-19 clinical outcomes, and NMOSD-related disease activity were obtained through online questionnaires or phone calls. RESULTS: The majority of NMOSD patients received long-term treatment with mycophenolate mofetil (68.8%) or azathioprine (22.9%), and 50% received oral glucocorticoid. During the epidemic, 97.4% of NMOSD patients infected with COVID-19 had asymptomatic or mild forms, with only two patients (2.6%) requiring hospitalization. None of these patients required tracheal intubation or admission to the intensive care unit. Clinical symptoms were found to be more prevalent in HC groups. Additionally, the HC groups had higher fever-recorded temperatures. NMOSD patients who received hUC-MSCs treatment had shorter disease duration than patients who did not receive hUC-MSCs treatment. DISCUSSION: Immunosuppressant-treated patients with NMOSD have a similar risk of COVID-19 infection as the general population, but the disease duration is shorter and the clinical symptoms are less severe. Among our NMOSD patients who received hUC-MSCs treatment, COVID-19 outcomes were favorable, with no increased risk of severe COVID-19. Prospective studies on immunotherapies are needed to help determine best treatment practices.

The effect of double filtration plasmapheresis and corticosteroids on patients with anti-dipeptidyl-peptidase-like protein 6 encephalitis.

INTRODUCTION: Anti-dipeptidyl-peptidase-like protein 6 (DPPX) encephalitis is a rare condition with varied symptoms including gastrointestinal issues, weight loss, cognitive and mental dysfunction, and hyperexcitability of the central nervous system. METHODS: We studied five patients with anti-DPPX encephalitis who received immunotherapy, specifically DFPP, at our hospital. We analyzed their clinical symptoms, lab results, electrophysiological and imaging findings, and outcomes with immunotherapy. RESULTS: Patients presented with cognitive dysfunction, tremor, seizures, psychiatric disturbances, and cerebellar and brainstem dysfunction. Magnetic resonance imaging (MRI) showed brain abnormalities in one patient and elevated cerebrospinal fluid (CSF) protein levels in two patients. Antibodies against DPPX were detected in all patients and in CSF in two patients. One patient had antibodies against anti-CV2/contactin response mediator protein 5 (CRMP5). All patients responded well to DFPP and corticosteroids. CONCLUSION: DFPP may be an effective treatment for anti-DPPX encephalitis. Further research is needed to understand disease progression and evaluate immunotherapy efficacy.

Site-Selective C-O Bond Editing of Unprotected Saccharides.

Glucose and its polyhydroxy saccharide analogs are complex molecules that serve as essential structural components in biomacromolecules, natural products, medicines, and agrochemicals. Within the expansive realm of saccharides, a significant area of research revolves around chemically transforming naturally abundant saccharide units to intricate or uncommon molecules such as oligosaccharides or rare sugars. However, partly due to the presence of multiple hydroxyl groups with similar reactivities and the structural complexities arising from stereochemistry, the transformation of unprotected sugars to the desired target molecules remains challenging. One such formidable challenge lies in the efficient and selective activation and modification of the C-O bonds in saccharides. In this study, we disclose a modular 2-fold "tagging-editing" strategy that allows for direct and selective editing of C-O bonds of saccharides, enabling rapid preparation of valuable molecules such as rare sugars and drug derivatives. The first step, referred to as "tagging", involves catalytic site-selective installation of a photoredox active carboxylic ester group to a specific hydroxyl unit of an unprotected sugar. The second step, namely, "editing", features a C-O bond cleavage to form a carbon radical intermediate that undergoes further transformations such as C-H and C-C bond formations. Our strategy constitutes the most effective and shortest route in direct transformation and modification of medicines and other molecules bearing unprotected sugars.

Oral decitabine-cedazuridine versus intravenous decitabine for myelodysplastic syndromes and chronic myelomonocytic leukaemia (ASCERTAIN): a registrational, randomised, crossover, pharmacokinetics, phase 3 study.

BACKGROUND: The DNA methyltransferase inhibitors azacitidine and decitabine for individuals with myelodysplastic syndromes or chronic myelomonocytic leukaemia are available in parenteral form. Oral therapy with similar exposure for these diseases would offer potential treatment benefits. We aimed to compare the safety and pharmacokinetics of oral decitabine plus the cytidine deaminase inhibitor cedazuridine versus intravenous decitabine. METHODS: We did a registrational, multicentre, open-label, crossover, phase 3 trial of individuals with myelodysplastic syndromes or chronic myelomonocytic leukaemia and individuals with acute myeloid leukaemia, enrolled as separate cohorts; results for only participants with myelodysplastic syndromes or chronic myelomonocytic leukaemia are reported here. In 37 academic and community-based clinics in Canada and the USA, we enrolled individuals aged 18 years or older who were candidates to receive intravenous decitabine, with Eastern Cooperative Oncology Group performance status 0 or 1 and a life expectancy of at least 3 months. Participants were randomly assigned (1:1) to receive 5 days of oral decitabine-cedazuridine (one tablet once daily containing 35 mg decitabine and 100 mg cedazuridine as a fixed-dose combination) or intravenous decitabine (20 mg/m2 per day by continuous 1-h intravenous infusion) in a 28-day treatment cycle, followed by 5 days of the other formulation in the next treatment cycle. Thereafter, all participants received oral decitabine-cedazuridine from the third cycle on until treatment discontinuation. The primary endpoint was total decitabine exposure over 5 days with oral decitabine-cedazuridine versus intravenous decitabine for cycles 1 and 2, measured as area under the curve in participants who received the full treatment dose in cycles 1 and 2 and had decitabine daily AUC0-24 for both oral decitabine-cedazuridine and intravenous decitabine (ie, paired cycles). On completion of the study, all patients were rolled over to a maintenance study. This study is registered with ClinicalTrials.gov, NCT03306264. FINDINGS: Between Feb 8, 2018, and June 7, 2021, 173 individuals were screened, 138 (80%) participants were randomly assigned to a treatment sequence, and 133 (96%) participants (87 [65%] men and 46 [35%] women; 121 [91%] White, four [3%] Black or African-American, three [2%] Asian, and five [4%] not reported) received treatment. Median follow-up was 966 days (IQR 917-1050). Primary endpoint of total exposure of oral decitabine-cedazuridine versus intravenous decitabine was 98·93% (90% CI 92·66-105·60), indicating equivalent pharmacokinetic exposure on the basis of area under the curve. The safety profiles of oral decitabine-cedazuridine and intravenous decitabine were similar. The most frequent adverse events of grade 3 or worse were thrombocytopenia (81 [61%] of 133 participants), neutropenia (76 [57%] participants), and anaemia (67 [50%] participants). The incidence of serious adverse events in cycles 1-2 was 31% (40 of 130 participants) with oral decitabine-cedazuridine and 18% (24 of 132 participants) with intravenous decitabine. There were five treatment-related deaths; two deemed related to oral therapy (sepsis and pneumonia) and three to intravenous treatment (septic shock [n=2] and pneumonia [n=1]). INTERPRETATION: Oral decitabine-cedazuridine was pharmacologically and pharmacodynamically equivalent to intravenous decitabine. The results support use of oral decitabine-cedazuridine as a safe and effective alternative to intravenous decitabine for treatment of individuals with myelodysplastic syndromes or chronic myelomonocytic leukaemia. FUNDING: Astex Pharmaceuticals.

[Health Impact Analysis of Fine Particulate Pollution from Vehicles in the Beijing-Tianjin-Hebei Region].

Vehicle exhaust emissions are posing an increasingly adverse impact on urban air quality. The emission characteristics analysis and health effect assessment of specific air pollution sources can provide scientific evidence for environmental air quality management. The characteristics and health effects of PM2.5 emissions from vehicles and economic losses caused by them in the Beijing-Tianjin-Hebei Region were analyzed from 2010 to 2020. From 2010 to 2020, PM2.5 emissions from vehicles in the Beijing-Tianjin-Hebei Region showed an annual increase at first, followed by a slow decrease. According to the emission sharing ratios of different vehicle types, heavy-duty trucks and buses were the main contributors to PM2.5, with a total contribution rate of over 65.27%. The emission characteristics of vehicle pollutants varied in different cities. The contribution rate of pollutants in Beijing decreased significantly, and the emission reduction in other cities was also dramatic. The evaluation results of the impact of PM2.5 emissions from vehicles on human health showed that the number of health endpoints in the Beijing-Tianjin-Hebei Region was on the rise. In 2020, PM2.5 pollution caused approximately 34337 premature deaths (95% CI:9025-57209), 45500 hospitalizations (95% CI:10800-80200), 282300 outpatients (95% CI:140500-416300), and 439000 people to fall ill (95% CI:160300-679200). Beijing had the largest number of patients that presented different health endpoints. The total health and economic losses caused by PM2.5 emissions from vehicles in 2010, 2015, and 2020 were 27.742 billion yuan (95% CI:8.616-44.643 billion yuan), 90.608 billion yuan (95% CI:28.476-144.050 billion yuan), and 129.965 billion yuan (95% CI:40.829-205.245 billion yuan), respectively. In addition, due to the differences in vehicle ownership, PM2.5 concentrations, population, and economic losses per case of health outcome, the health effects and economic losses varied in different cities within the region. Among these cities, Beijing, Tianjin, Baoding, and Tangshan were at higher health risks and suffered more economic losses. The results of this study will help reduce the adverse effects on health and economic losses caused by pollution discharge and provide scientific evidence for environmental protection authorities to implement targeted pollution prevention and control.

Dual effect of tacrolimus on mast cell-mediated allergy and inflammation through Mas-related G protein-coupled receptor X2.

BACKGROUND: Topical tacrolimus, although widely used in the treatment of dermatoses, presents with an immediate irritation on initial application resembling a pseudo-allergic reaction. Mas-related G protein-coupled receptor X2 (MRGPRX2) in mast cells (MCs) mediates drug-induced pseudo-allergic reaction and immunoglobulin E (IgE)-independent pruritis in chronic skin diseases. However, the immunosuppression mechanism of tacrolimus on MCs via MRGPRX2 has not been reported. OBJECTIVE: To investigate the role of MRGPRX2 and the mechanism of action of tacrolimus on its short-term and long-term applications. METHODS: Wild-type mice, KitW-sh/W-sh mice, and MrgprB2-deficient (MUT) mice were used to study the effect of tacrolimus on in vivo anaphylaxis model. LAD2 cells and MRGPRX2-knockdown LAD2 cells were specifically used to derive the associated mechanism of the tacrolimus effect. RESULTS: Short-term application of tacrolimus triggers IgE-independent activation of MCs via MRGPRX2/B2 in both in vivo and in vitro experiments. Tacrolimus binds to MRGPRX2, which was verified by fluorescently labeled tacrolimus in cells. On long-term treatment with tacrolimus, the initial allergic reaction fades away corresponding with the downregulation of MRGPRX2, which leads to decreased release of inflammatory cytokines (P < 0.05 to P < 0.001). CONCLUSION: Short-term treatment with tacrolimus induces pseudo-allergic reaction via MRGPRX2/B2 in MCs, whereas long-term treatment downregulates expression of MRGPRX2/B2, which may contribute to its potent immunosuppressive effect in the treatment of various skin diseases.

Comprehensive Metabolic Fingerprints Characterize Neuromyelitis Optica Spectrum Disorder by Nanoparticle-Enhanced Laser Desorption/Ionization Mass Spectrometry.

Timely screening of neuromyelitis optica spectrum disorder (NMOSD) and differential diagnosis from myelin oligodendrocyte glycoprotein associated disorder (MOGAD) are the keys to improving the quality of life of patients. Metabolic disturbance occurs with the development of NMOSD. Still, advanced tools are required to probe the metabolic phenotype of NMOSD. Here, we developed a fast nanoparticle-enhanced laser desorption/ionization mass spectrometry assay for multiplexing metabolic fingerprints (MFs) from trace plasma and cerebrospinal fluid (CSF) samples in 30 s. Machine learning of the plasma MFs achieved the timely screening of NMOSD from healthy donors with an area under receiver operator characteristic curve (AUROC) of 0.998, and it comprehensively revealed the dysregulated neurotransmitter and energy metabolisms. Combining comprehensive MFs from both plasma and CSF, we constructed an integrated panel for differential diagnosis of NMOSD versus MOGAD with an AUROC of 0.923. This approach demonstrated performance superior to that of human experts in classifying two diseases, especially in antibody assay-limited regions. Together, this approach provides an advanced nanomaterial-based tool for identifying vulnerable populations below the antibody threshold of aquaporin-4 positivity.

Improving prediction model robustness with virtual sample construction for near-infrared spectra analysis.

In a qualitative analysis of near-infrared spectroscopy (NIRS), when the samples to be analyzed are difficult to obtain or there are few counterexamples, the robustness of the models is poor, resulting in the decline of the generalization ability of the models. In this case, the effective method is to construct virtual samples to achieve the balance of categories. In this contribution, three virtual spectrum construction strategies including Synthetic Minority Oversampling Technique (SMOTE), Adaptive Synthetic Sampling (ADASYN), and Deep Convolutional Generative Adversarial Network (DCGAN) were explored to deal with the problem of insufficient or imbalanced sample numbers in NIRS analysis. The strategies were tested with the melamine and Yali pears two spectral datasets. The PLS-DA and Correct Recognition Rate (CRR) were used for discriminant model construction and accuracy evaluation, respectively. The results show that SMOTE, ADASYN, and DCGAN processing strategies can all improve the global CRR (CRRglob). The SMOTE and ADASYN can improve the CRR for majority class sample (CRRmaj), but the CRR for minority class sample (CRRmin) has decreased. For the DCGAN method, the CRRglob, CRRmaj, and CRRmin were all improved. The standard deviation of the results of the multiple parallel calculations demonstrates the robustness of DCGAN generation method. Therefore, the DCGAN method has good reliability and practicability, and can increase the robustness and generalization ability of the NIRS model.

Functional screening and rational design of compounds targeting GPR132 to treat diabetes.

Chronic inflammation due to islet-residing macrophages plays key roles in the development of type 2 diabetes mellitus. By systematically profiling intra-islet lipid-transmembrane receptor signalling in islet-resident macrophages, we identified endogenous 9(S)-hydroxy-10,12-octadecadienoic acid-G-protein-coupled receptor 132 (GPR132)-Gi signalling as a significant contributor to islet macrophage reprogramming and found that GPR132 deficiency in macrophages reversed metabolic disorders in mice fed a high-fat diet. The cryo-electron microscopy structures of GPR132 bound with two endogenous agonists, N-palmitoylglycine and 9(S)-hydroxy-10,12-octadecadienoic acid, enabled us to rationally design both GPR132 agonists and antagonists with high potency and selectivity through stepwise translational approaches. We ultimately identified a selective GPR132 antagonist, NOX-6-18, that modulates macrophage reprogramming within pancreatic islets, decreases weight gain and enhances glucose metabolism in mice fed a high-fat diet. Our study not only illustrates that intra-islet lipid signalling contributes to islet macrophage reprogramming but also provides a broadly applicable strategy for the identification of important G-protein-coupled receptor targets in pathophysiological processes, followed by the rational design of therapeutic leads for refractory diseases such as diabetes.