Anemia, blood cell indices, genetic correlations, and brain structures: A comprehensive analysis of roles in Parkinson's disease risk.

INTRODUCTION: Anemia may contribute significantly to the onset of Parkinson's disease (PD). Current research on the association between anemia and PD risk is inconclusive, and the relationships between anemia-related blood cell indices and PD incidence require further clarification. This study aims to investigate the relationships between anemia, blood cell indicators, and PD risk using a thorough prospective cohort study. METHODS: We used data from the UK Biobank, a prospective cohort study of 502,649 participants, and ultimately, 365,982 participants were included in the analysis. Cox proportional hazards models were utilized to adjust for confounding factors, aiming to thoroughly explore the associations between anemia and blood cell indices with the risk of incident PD. The interaction between anemia and Polygenic Risk Score (PRS) for PD was also examined. Linear regression and mediation analyses assessed potential mechanisms driven by brain structures, including grey matter volume. RESULTS: During a median follow-up of 14.24 years, 2513 participants were diagnosed with PD. Anemia considerably increased PD risk (hazard ratio [HR] 1.98, 95 % confidence interval [CI]: 1.81-2.18, P < 0.001) after adjustments. Those with high PRS for anemia had an 83 % higher PD incidence compared to low PRS participants. Sensitivity analyses confirmed result robustness. Linear regression showed that anemia correlated with grey matter volumes and most white matter tracts. Furthermore, mediation analyses identified that the volume of grey matter in Thalamus mediates the relationship between anemia and PD risk. CONCLUSION: In summary, we consider there to be a substantial correlation between anemia and increased PD risk.

Effects and safety of monoamine oxidase-B inhibitors for early Parkinson's disease: a network meta-analysis.

INTRODUCTION: To evaluate the effects and safety of monoamine oxidase B inhibitors (MAO-B inhibitors) for early Parkinson's disease. METHODS: All studies assessed the efficacy of MAO-B inhibitors in patients with early Parkinson's disease were searched. Publications were screened and data were extracted according to predefined criteria. Rev Man 5.4 and Stata 14.0 software were used for statistical analysis. Outcomes assessed included change of Unified Parkinson's Disease Rating Scale (UPDRS) total score, UPDRS Part II score, UPDRS Part III score and the incidence of adverse events. RESULTS: Thirty trials were identified and included in this meta-analysis. Compared with placebo, rasagiline, selegiline, safinamide and zonisamide were significantly more effective, with a standardized mean difference (SMD) of -0.41, 95% confidence interval (CI) = -0.64 to -0.18, SMD =-0.38 (95% CI= -0.51 to -0.24), SMD=-0.37 (95%CI= -0.54 to -0.21) and SMD=-0.31 (95%CI= -0.57 to -0.05) on the UPDRS III score change respectively. The surface under the cumulative ranking (SUCRA) results showed that rasagiline ranked first in improving UPDRS II and UPDRS III, respectively. For safety outcomes, safinamide combination with dopaminergic treatment had lower risk of incurring any adverse events (risk ratio=0.1 95% CI= 0.01 to 0.2), no statistical difference in incidence of adverse events was observed amongst other MAO-B inhibitor regimes and placebo. CONCLUSION: In conclusion, rasagiline, selegiline, safinamide and zonisamide were effective compared to placebo in the treatment of early Parkinson's disease, but rasagiline was the most effective drug. As for safety, safinamide combination with dopaminergic treatment had lower risk of incurring any adverse events.

Identifying potential causal effects of Parkinson's disease: A polygenic risk score-based phenome-wide association and mendelian randomization study in UK Biobank.

There is considerable uncertainty regarding the associations between various risk factors and Parkinson's Disease (PD). This study systematically screened and validated a wide range of potential PD risk factors from 502,364 participants in the UK Biobank. Baseline data for 1851 factors across 11 categories were analyzed through a phenome-wide association study (PheWAS). Polygenic risk scores (PRS) for PD were used to diagnose Parkinson's Disease and identify factors associated with PD diagnosis through PheWAS. Two-sample Mendelian randomization (MR) analysis was employed to assess causal relationships. PheWAS results revealed 267 risk factors significantly associated with PD-PRS among the 1851 factors, and of these, 27 factors showed causal evidence from MR analysis. Compelling evidence suggests that fluid intelligence score, age at first sexual intercourse, cereal intake, dried fruit intake, and average total household income before tax have emerged as newly identified risk factors for PD. Conversely, maternal smoking around birth, playing computer games, salt added to food, and time spent watching television have been identified as novel protective factors against PD. The integration of phenotypic and genomic data may help to identify risk factors and prevention targets for PD.

High-risk screening for late-onset Pompe disease in China: An expanded multicenter study.

Late-onset Pompe disease (LOPD) is caused by a genetic deficiency of the lysosomal enzyme acid alpha-glucosidase (GAA), leading to progressive limb-girdle weakness and respiratory impairment. The insidious onset of non-specific early symptoms often prohibits timely diagnosis. This study aimed to validate the high-risk screening criteria for LOPD in the Chinese population. A total of 726 patients were included, including 96 patients under 14 years of age. Dried blood spots (DBS) and tandem mass spectrometry (MS/MS) were employed to evaluate serum GAA activity. Forty-four patients exhibited a decreased GAA activity, 16 (2.2%) of which were confirmed as LOPD by genetic testing. Three previously unreported GAA mutations were also identified. The median diagnostic delay was shortened to 3 years, which excelled the previous retrospective studies. At diagnosis, most patients exhibited impaired respiratory function and/or limb-girdle weakness. Elevated serum creatine kinase (CK) levels were more frequently observed in patients who manifested before age 16. Overall, high-risk screening is a feasible and efficient method to identify LOPD patients at an early stage. Patients over 1 year of age with either weakness in axial and/or proximal limb muscles, or unexplained respiratory distress shall be subject to GAA enzymatic test, while CK levels above 2 times the upper normal limit shall be an additional criterion for patients under 16. This modified high-risk screening criteria for LOPD requires further validation in larger Chinese cohorts.

Digital biomarkers for precision diagnosis and monitoring in Parkinson's disease.

Parkinson's disease (PD) is a multifactorial neurodegenerative disorder with high prevalence among the elderly, primarily manifested by progressive decline in motor function. The aging global demographic and increased life expectancy have led to a rapid surge in PD cases, imposing a significant societal burden. PD along with other neurodegenerative diseases has garnered increasing attention from the scientific community. In PD, motor symptoms are recognized when approximately 60% of dopaminergic neurons have been damaged. The irreversible feature of PD and benefits of early intervention underscore the importance of disease onset prediction and prompt diagnosis. The advent of digital health technology in recent years has elevated the role of digital biomarkers in precisely and sensitively detecting early PD clinical symptoms, evaluating treatment effectiveness, and guiding clinical medication, focusing especially on motor function, responsiveness and sleep quality assessments. This review examines prevalent digital biomarkers for PD and highlights the latest advancements.

Microplastics and viruses in the aquatic environment: a mini review.

Microplastics (MPs) have been widely found in the environment and have exerted non-negligible impacts on the environment and human health. Extensive research has shown that MPs can act as carriers for viruses and interacts with them in various ways. Whether MPs influence the persistence, transmission and infectivity of virus has attracted global concern in the context of increasing MPs contamination. This review paper provides an overview of the current state of knowledge regarding the interactions between MPs and viruses in aquatic environments. Latest progress and research trends in this field are summarized based on literature analysis. Additionally, we discuss the potential risks posed by microplastic-associated viruses to human health and the environmental safety, highlighting that MPs can affect viral transmission and infectivity through various pathways. Finally, we underscores the need for further research to address key knowledge gaps, such as elucidating synergistic effects between MPs and viruses, understanding interactions under real environmental conditions, and exploring the role of biofilms in virus-MPs interactions. This review aims to contribute to a deeper understanding on the transmission of viruses in the context of increasing MPs pollution in water, and promote actions to reduce the potential risks.

Air pollution, greenspace exposure and risk of Parkinson's disease: a prospective study of 441,462 participants.

BACKGROUND: The current understandings of the relationship between air pollution (AP), greenspace exposure and Parkinson's Disease (PD) remain inconclusive. METHODS: We engaged 441,462 participants from the UK Biobank who were not diagnosed with PD. Utilizing Cox proportional hazard regression model, relationships between AP [nitrogen dioxide (NO2), and nitrogen oxides (NOX), particulate matter < 2.5 µm in aerodynamic diameter(PM2.5), coarse particulate matter between 2.5 µm and 10 µm in aerodynamic diameter(PM2.5-10), particulate matter < 10 µm in aerodynamic diameter(PM10)], greenspace exposure, and PD risk were determined independently. Our analyses comprised three models, adjusted for covariates, and affirmed through six sensitivity analyses to bolster the robustness of our findings. Moreover, mediation analysis was deployed to discern the mediating effect of AP between greenspaces and PD. RESULTS: During a median follow-up of 12.23 years (5,574,293 person-years), there were 3,293 PD events. Each interquartile (IQR) increment in NO2 and PM10 concentrations were associated with 10% and 8% increase in PD onset risk, while the increases in NOX, PM2.5 and PM2.5-10 were not associated with PD risk. Additionally, greenspace may safeguard by reducing NO2 and PM10 levels, with the effect mediated by NO2 and PM10 in greenspace-PD relationship. CONCLUSION: Our findings indicate that an IQR increase in ambient NO2 and PM10 concentrations was associated with risk of PD development, while other pollutants (NOX, PM2.5 and PM2.5-10) were not associated with PD risk. Firstly, we find that augmented exposure to greenspace was associated with the lower PD risk by reducing NO2 and PM10 levels.

Value of different preoperative bone evaluation methods in predicting intraoperative screw insertion torque: a prospective clinical comparative trial.

BACKGROUND CONTEXT: Establishing good screw-bone structural stability is conducive to reducing the risk of postoperative screw loosening. Screw insertion torque is an objective index for evaluating screw-bone structural stability. Therefore, accurate prediction of screw insertion torque can improve the preoperative evaluation of patients, optimize the surgical plan, and improve the surgical effect. At present, the correlation between different bone assessment methods and screw insertion torque is unclear. PURPOSE: The aim of this study was to evaluate the correlation between different bone assessment methods and screw insertion torque and to optimize the predictive performance of screw insertion torque through mathematical modeling combined with different radiology methods. DESIGN: Prospective cross-sectional study. PATIENT SAMPLES: Seventy-seven patients with preoperatively available DXA, CT and MRI data who underwent spinal fixation surgeries between October 2022 and September 2023 and 357 sets of screw data were included in this analysis. OUTCOME MEASURES: Spinal, vertebrae-specific and screw trajectory's BMD were measured preoperatively by different imaging modalities. Intraoperative screw insertion torque was measured using an electronic torque wrench. METHODS: Pearson linear correlation, scatter plots and univariate linear regression were used to evaluate the correlation between different bone evaluation methods and screw insertion torque. Different bone evaluation methods were fitted into the prediction model of screw torque and the related equations were obtained. RESULTS: Screw insertion torque had the strongest positive correlation with the volumetric bone mineral density (vBMD) of the screw trajectory (Pedicle screw insertion torque (PSIT): R = 0.618, p<.001; Terminal screw insertion torque (TSIT): R = 0.735, p<.001). A weak negative correlation was found between the screw insertion torque and level specific vertebral bone quality (VBQ) (PSIT: R = -0.178, p=.001; TSIT: R = -0.147, p=.006). We also found that the PSIT was strongly correlated with the TSIT (R = 0.812, p<.001). CONCLUSIONS: Compared to other bone quality assessment methods, screw trajectory vBMD may be better predict the magnitude of screw insertion torque. In addition, we further optimized preoperative assessments by constructing a mathematical model to better predict screw insertion torque. In conclusion, clinicians should select appropriate preoperative bone quality assessment methods, identify potential low-torque patients, optimize surgical plans, and ultimately improve screw insertion accuracy and reduce postoperative screw loosening rate.

Microalgae Film-Derived Water Evaporation-Induced Electricity Generator with Negative Carbon Emission.

Water evaporation-induced electricity generators (WEGs) are regarded as one of the most promising solutions for addressing the increasingly severe environmental pollution and energy crisis. Owing to the potential carbon emission in the preparation process of WEGs, whether WEG represents a clean electricity generation technology is open to question. Here, a brand-new strategy is proposed for manufacturing negative carbon emission WEG (CWEG). In this strategy, the microalgae film is used as the electricity generation interface of WEG, which achieves a stable open-circuit voltage (Voc) of 0.25 V and a short-circuit current (Isc) of 3.3 µA. Since microalgae can capture carbon dioxide during its growing process, CWEG holds great promise to generate electricity without carbon emissions in the full life cycle compared with other WEGs. To the best of the author's knowledge, this is the first work using microalgae films to fabricate WEG. Therefore, it is believed that this work not only provides a new direction for designing high-efficiency and eco-friendly WEG but also offers an innovative approach to the resource utilization of microalgae.

Association between irritable bowel syndrome and Parkinson's disease by Cohort study and Mendelian randomization analysis.

This study aimed to investigate the association between irritable bowel syndrome (IBS) and Parkinson's disease (PD) utilizing prospective cohort study and Mendelian randomization. The dataset contained a substantial cohort of 426,911 participants from the UK Biobank, discussing the association between IBS and PD with Cox proportional hazards models and case-control analysis while adjusting for covariates such as age, gender, ethnicity and education level. In univariate Cox regression model, the risk of PD was reduced in IBS patients (HR: 0.774, 95%CI: 0.625-0.956, P = 0.017), but the statistical significance diminished in the three models after adjusting for other variables. In a few subgroup analyses, IBS patients are less likely to develop into PD, and patients diagnosed with IBS after 2000 also had a lower risk (HR: 0.633, 95%CI: 0.403-0.994, P = 0.047) of subsequently developing PD. In addition, we matched five healthy control participants based on gender and age at the end of the study for each IBS patient diagnosed during the follow-up period, and logistic regression results (OR:1.239, 95%CI: 0.896-1.680, P = 0.181) showed that IBS was not associated with the risk of PD. Mendelian randomization did not find significant evidence of the causal relationship between IBS and Parkinson's disease (OR: 0.801, 95%CI: 0.570-1.278, P = 0.204). Overall, we suggest that IBS status is not associated with the risk of developing PD, and that these findings provide valuable insights into the clinical management and resource allocation of patients with IBS.

Interaction between the SFTSV envelope glycoprotein Gn and STING inhibits the formation of the STING-TBK1 complex and suppresses the NF-κB signaling pathway.

Severe fever with thrombocytopenia syndrome virus (SFTSV) is an emerging tick-borne bunyavirus with high pathogenicity. There has been a gradual increase in the number of reported cases in recent years, with high morbidity and mortality rates. The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway plays an important role in the innate immune defense activated by viral infection; however, the role of the cGAS-STING signaling pathway during SFTSV infection is still unclear. In this study, we investigated the relationship between SFTSV infection and cGAS-STING signaling. We found that SFTSV infection caused the release of mitochondrial DNA into the cytoplasm and inhibits downstream innate immune signaling pathways by activating the cytoplasmic DNA receptor cGAS. We found that the SFTSV envelope glycoprotein Gn was a potent inhibitor of the cGAS-STING pathway and blocked the nuclear accumulation of interferon regulatory factor 3 and p65 to inhibit downstream innate immune signaling. Gn of SFTSV interacted with STING to inhibit STING dimerization and inhibited K27-ubiquitin modification of STING to disrupt the assembly of the STING-TANK-binding kinase 1 complex and downstream signaling. In addition, Gn was found to be involved in inducing STING degradation, further inhibiting the downstream immune response. In conclusion, this study identified the important role of the glycoprotein Gn in the antiviral innate immune response and revealed a novel mechanism of immune escape for SFTSV. Moreover, this study increases the understanding of the pathogenic mechanism of SFTSV and provides new insights for further treatment of SFTS. IMPORTANCE: Severe fever with thrombocytopenia syndrome virus (SFTSV) is a newly discovered virus associated with severe hemorrhagic fever in humans. However, the role of the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway during SFTSV infection is still unclear. We found that SFTSV infection inhibits downstream innate immune signaling pathways by activating the cytoplasmic DNA receptor cGAS. In addition, SFTSV Gn blocked the nuclear accumulation of interferon regulatory factor 3 and p65 to inhibit downstream innate immune signaling. Moreover, we determined that Gn of SFTSV inhibited K27-ubiquitin modification of STING to disrupt the assembly of the STING-TANK-binding kinase 1 complex and downstream signaling. We found that the SFTSV envelope glycoprotein Gn is a potent inhibitor of the cGAS-STING pathway. In conclusion, this study highlights the crucial function of the glycoprotein Gn in the antiviral innate immune response and reveals a new method of immune escape of SFTSV.

Prediabetes and the incidence of Parkinson's disease: A meta-analysis.

Diabetes has been associated with an elevated risk of Parkinson's disease (PD), yet the relationship between prediabetes (PreD) and the incidence of PD in the adult population remains unclear. Therefore, a systematic review and meta-analysis was conducted to evaluate if PreD is also associated with a higher risk of PD. We conducted comprehensive searches of the PubMed, Embase, and Web of Science databases to identify relevant observational studies with longitudinal follow-up. The random-effects model was employed to synthesize the data, mitigating the potential impact of study heterogeneity on the outcomes. Our analysis incorporated seven datasets from five cohort studies, encompassing 18,170,592 adult participants without a PD diagnosis at baseline. Among them, 2,432,148 (13.3%) had PreD. During the follow-up, a total of 46,682 patients were diagnosed with PD. The pooled results indicated that PreD was associated with an increased incidence of PD (risk ratio [RR] 1.09, 95% confidence interval [CI] 1.02 - 1.16; P = 0.02; I2 = 52%), after adjusting for potential confounding factors such as age, sex, body mass index (BMI), and smoking. Subsequent pilot subgroup analyses suggested that the association between PreD and PD might not be significantly influenced by the country of the study, its design, age or sex of the participants, definition of PreD, or the quality scores of the study (P for subgroup difference all > 0.05). In conclusion, adult population with PreD may have a mildly increased risk of developing PD compared to those with normoglycemia.

Matrix metalloproteinase-9 inhibition prevents aquaporin-4 depolarization-mediated glymphatic dysfunction in Parkinson's disease.

INTRODUCTION: The glymphatic system offers a perivascular pathway for the clearance of pathological proteins and metabolites to optimize neurological functions. Glymphatic dysfunction plays a pathogenic role in Parkinson's disease (PD); however, the molecular mechanism of glymphatic dysfunction in PD remains elusive. OBJECTIVE: To explore whether matrix metalloproteinase-9 (MMP-9)-mediated ß-dystroglycan (ß-DG) cleavage is involved in the regulation of aquaporin-4 (AQP4) polarity-mediated glymphatic system in PD. METHODS: 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD and A53T mice were used in this study. The glymphatic function was evaluated using ex vivo imaging. TGN-020, an AQP4 antagonist, was administered to investigate the role of AQP4 in glymphatic dysfunction in PD. GM6001, an MMP-9 antagonist, was administered to investigate the role of the MMP-9/ß-DG pathway in regulating AQP4. The expression and distribution of AQP4, MMP-9, and ß-DG were assessed using western blotting, immunofluorescence, and co-immunoprecipitation. The ultrastructure of basement membrane (BM)-astrocyte endfeet was detected using transmission electron microscopy. Rotarod and open-field tests were performed to evaluate motor behavior. RESULTS: Perivascular influx and efflux of cerebral spinal fluid tracers were reduced in MPTP-induced PD mice with impaired AQP4 polarization. AQP4 inhibition aggravated reactive astrogliosis, glymphatic drainage restriction, and dopaminergic neuronal loss in MPTP-induced PD mice. MMP-9 and cleaved ß-DG were upregulated in both MPTP-induced PD and A53T mice, with reduced polarized localization of ß-DG and AQP4 to astrocyte endfeet. MMP-9 inhibition restored BM-astrocyte endfeet-AQP4 integrity and attenuated MPTP-induced metabolic perturbations and dopaminergic neuronal loss. CONCLUSION: AQP4 depolarization contributes to glymphatic dysfunction and aggravates PD pathologies, and MMP-9-mediated ß-DG cleavage regulates glymphatic function through AQP4 polarization in PD, which may provide novel insights into the pathogenesis of PD.

Ageing of grammatical advance planning in spoken sentence production: an eye movement study.

This study used an image-description paradigm with concurrent eye movement recordings to investigate differences of grammatical advance planning between young and older speakers in spoken sentence production. Participants were asked to produce sentences with simple or complex initial phrase structures (IPS) in Experiment 1 while producing individual words in Experiment 2. Young and older speakers showed comparable speaking latencies in sentence production task, whereas older speakers showed longer latencies than young speakers in word production task. Eye movement data showed that compared with young speakers, older speakers had higher fixation percentage on object 1, lower percentage of gaze shift from object 1 to 2, and lower fixation percentage on object 2 in simple IPS sentences, while they showed similar fixation percentage on object 1, similar percentage of gaze shift from object 1 to 2, and lower fixation percentage on object 2 in complex IPS sentences, indicating a decline of grammatical encoding scope presenting on eye movement patterns. Meanwhile, speech analysis showed that older speakers presented longer utterance duration, slower speech rate, and longer and more frequently occurred pauses in articulation, indicating a decline of speech articulation in older speakers. Thus, our study suggests that older speakers experience an ageing effect in the sentences with complex initial phrases due to limited cognitive resources.

Deep-reinforcement-learning-based water diversion strategy.

Water diversion is a common strategy to enhance water quality in eutrophic lakes by increasing available water resources and accelerating nutrient circulation. Its effectiveness depends on changes in the source water and lake conditions. However, the challenge of optimizing water diversion remains because it is difficult to simultaneously improve lake water quality and minimize the amount of diverted water. Here, we propose a new approach called dynamic water diversion optimization (DWDO), which combines a comprehensive water quality model with a deep reinforcement learning algorithm. We applied DWDO to a region of Lake Dianchi, the largest eutrophic freshwater lake in China and validated it. Our results demonstrate that DWDO significantly reduced total nitrogen and total phosphorus concentrations in the lake by 7% and 6%, respectively, compared to previous operations. Additionally, annual water diversion decreased by an impressive 75%. Through interpretable machine learning, we identified the impact of meteorological indicators and the water quality of both the source water and the lake on optimal water diversion. We found that a single input variable could either increase or decrease water diversion, depending on its specific value, while multiple factors collectively influenced real-time adjustment of water diversion. Moreover, using well-designed hyperparameters, DWDO proved robust under different uncertainties in model parameters. The training time of the model is theoretically shorter than traditional simulation-optimization algorithms, highlighting its potential to support more effective decision-making in water quality management.

Study on brain damage patterns of COVID-19 patients based on EEG signals.

Objective: The coronavirus disease 2019 (COVID-19) is an acute respiratory infectious disease caused by the SARA-CoV-2, characterized by high infectivity and incidence. Clinical data indicates that COVID-19 significantly damages patients' perception, motor function, and cognitive function. However, the electrophysiological mechanism by which the disease affects the patient's nervous system is not yet clear. Our aim is to investigate the abnormal levels of brain activity and changes in brain functional connectivity network in patients with COVID-19. Methods: We compared and analyzed electroencephalography signal sample entropy, energy spectrum, and brain network characteristic parameters in the delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz) bands of 15 patients with COVID-19 and 15 healthy controls at rest. Results: At rest, energy values of the four frequency bands in the frontal and temporal lobes of COVID-19 patients were significantly reduced. At the same time, the sample entropy value of the delta band in COVID-19 patients was significantly increased, while the value of the beta band was significantly decreased. However, the average value of the directed transfer function of patients did not show any abnormalities under the four frequency bands. Furthermore, node degree in the temporal lobe of patients was significantly increased, while the input degree of the frontal and temporal lobes was significantly decreased, and the output degree of the frontal and occipital lobes was significantly increased. Conclusion: The level of brain activity in COVID-19 patients at rest is reduced, and the brain functional network undergoes a rearrangement. These results preliminarily demonstrate that COVID-19 patients exhibit certain brain abnormalities during rest, it is feasible to explore the neurophysiological mechanism of COVID-19's impact on the nervous system by using EEG signals, which can provide a certain technical basis for the subsequent diagnosis and evaluation of COVID-19 using artificial intelligence and the prevention of brain nervous system diseases after COVID-19 infection.

Diagnostic performance of metagenomic next-generation sequencing and conventional microbial culture for spinal infection: a retrospective comparative study.

PURPOSE: The study evaluated the diagnostic performance of metagenomic next-generation sequencing (mNGS) as a diagnostic test for biopsy samples from patients with suspected spinal infection (SI) and compared the diagnostic performance of mNGS with that of microbial culture. METHODS: All patients diagnosed with clinical suspicion of SI were enrolled, and data were collected through a retrospective chart review of patient records. Biopsy specimens obtained from each patient were tested via mNGS and microbial culture. Samples were enriched for microbial DNA using the universal DNA extraction kit, whole-genome amplified, and sequenced using MGISEQ-200 instrument. After Low-quality reads removed, the remaining sequences for microbial content were analyzed and aligned using SNAP and kraken2 tools. RESULTS: A total of 39 patients (19 men and 20 women) were deemed suitable for enrollment. The detection rate for pathogens of mNGS was 71.8% (28/39), which was significantly higher than that of microbial culture (23.1%, p = 0.016). Mycobacterium tuberculosis complex was the most frequently isolated. Using pathologic test as the standard reference for SI, thirty-one cases were classified as infected, and eight cases were considered aseptic. The sensitivity and specificity values for detecting pathogens with mNGS were 87.1% and 87.5%, while these rates were 25.8% and 87.5% with conventional culture. mNGS was able to detect 88.9% (8/9) of pathogens identified by conventional culture, with a genus-level sensitivity of 100% (8/8) and a species-level sensitivity of 87.5% (7/8). CONCLUSION: The present work suggests that mNGS might be superior to microbial culture for detecting SI pathogens.

Enterovirus D68 infection upregulates SOCS3 expression to inhibit JAK-STAT3 signaling and antagonize the innate interferon response of the host.

Enterovirus D68 (EV-D68) can cause respiratory diseases and acute flaccid paralysis, posing a great threat to public health. Interferons are cytokines secreted by host cells that have broad-spectrum antiviral effects, inducing the expression of hundreds of interferon-stimulated genes (ISGs). EV-D68 activates ISG expression early in infection, but at a later stage, the virus suppresses ISG expression, a strategy evolved by EV-D68 to antagonize interferons. Here, we explore a host protein, suppressor of cytokine signaling 3 (SOCS3), is upregulated during EV-D68 infection and antagonizes the antiviral effects of type I interferon. We subsequently demonstrate that the structural protein of EV-D68 upregulated the expression of RFX7, a transcriptional regulator of SOCS3, leading to the upregulation of SOCS3 expression. Further exploration revealed that SOCS3 plays its role by inhibiting the phosphorylation of signal transducer and activator of transcription 3 (STAT3). The expression of SOCS3 inhibited the expression of ISG, thereby inhibiting the antiviral effect of type I interferon and promoting EV-D68 transcription, protein production, and viral titer. Notably, a truncated SOCS3, generated by deleting the kinase inhibitory region (KIR) domain, failed to promote replication and translation of EV-D68. Based on the above studies, we designed a short peptide named SOCS3 inhibitor, which can specifically bind and inhibit the KIR structural domain of SOCS3, significantly reducing the RNA and protein levels of EV-D68. In summary, our results demonstrated a novel mechanism by which EV-D68 inhibits ISG transcription and antagonizes the antiviral responses of host type I interferon.

Facilitation effect of token syllable frequency in Chinese spoken word production.

Syllable frequency effects in spoken word production have been interpreted as evidence that speakers store syllable-sized motor programmes for phonetic encoding in alphabetic languages such as English or Dutch. However, the cognitive mechanism underlying the syllable frequency effect in Chinese spoken word production remains unknown. To investigate the locus of the syllable frequency effect in spoken Chinese, this study used a picture-word interference (PWI) task in which participants were asked to name the picture while ignoring the distractor word. The design included two variables: the syllable frequency of the target words (high vs. low) and the phonological relationships between distractor and target words (shared atonic syllable or not; related vs. unrelated). We manipulated mixed token and type syllable frequency in Experiment 1, and token syllable frequency but controlled type syllable frequency in Experiment 2. The results showed a facilitation effect of mixed syllable frequency and a similar facilitation effect of token syllable frequency. Importantly, the syllable frequency effect was found to be independent of the phonological facilitation effect. These results suggest that token syllable frequency played a dominant role in the observed facilitation effect, providing evidence that the syllable frequency effect arises in the phonetic encoding of Chinese spoken word production.