The impact of the Qinghai-Tibet highway on plant community and diversity.

Roads are an increasingly prevalent form of human activity that drives the decrease in plant community functions and threatens global biodiversity. However, few studies have focused on the changes in the function and diversity of alpine meadows caused by road infrastructure in the Tibetan Plateau. In this study, the changes in species diversity, functional diversity, and community stability were examined at different distances from the Qinghai-Tibet highway. The results showed that the road intensified the degradation of vegetation, which significantly altered species diversity and community structure. This effect gradually decreased from near to far from the highway. Plant community cover and species diversity were highest at intermediate distances (50-100 m) from the roadway; species diversity and stability were lowest in the grassland most disturbed by the road (0 m), and species diversity and functional diversity tended to stabilize farther away from the road (250 m). Our findings indicate that changes in species diversity are synchronized with changes in functional diversity, which largely determines the outcome of degraded grassland community diversity and stability. Our results provide a reference point for restoring degraded alpine areas and mitigating the ecological impacts of roads.

Analysis of the Association Between Pathogen Exposure and the Risk of Dementia.

Background: Previous research has suggested that pathogen infections may serve as potential contributors to dementia. Objective: Consequently, the study aimed to evaluate whether pathogen exposure heightens the risk of dementia. Methods: Between 2006 and 2010, a total of 8,144 individuals from the UK Biobank had data on pathogen antibodies and were included in the baseline assessment. Cox proportional hazard models were employed for the analysis. Results: Out of the 8,144 participants, 107 eventually developed dementia, while 55 participants were diagnosed with Alzheimer's disease (AD). Multivariate Cox regression analysis revealed that the levels of pathogen antibody titers of EBV and C. trachomatis were associated with an increased risk of dementia/AD. The highest quartile of EBV EBNA-1 and EBV VCA p18, and the second quartile of H. pylori VacA significantly increased the risk of dementia compared lower quartile (EBV EBNA-1: HR = 1.938, p = 0.018; EBV VCA p18: HR = 1.824, p = 0.040; H. pylori VacA: HR = 1.890, p = 0.033). Besides, the highest quartile of EBV VCA p18 had a higher risk of AD compared lower quartile (HR = 2.755, p = 0.029). Conclusions: The study demonstrated that exposure to EBV, H. pylori, and C. trachomatis substantially elevated the risk of dementia/AD. Despite the relatively widespread occurrence of EBV infection in the population, elevated pathogen antibody titers were still found to increase the risk of dementia/AD. Besides, since C. trachomatis and C. pneumoniae are quite homologous, this study found that trachomatis (C. trachomatis/C. pneumoniae) may be significantly associated with the risk of AD/dementia.

Evaluation of the safety and efficacy of skin penetration enhancer Putocrin®.

BACKGROUND: Substances that can efficiently enhance skin penetration while exerting no adverse effect are useful for drug and cosmetics formulation. OBJECTIVE: To investigate the safety and enhance skin penetration efficacy of Putocrin®, a combination containing 2% isosorbide dimethyl ether, 1% pentanediol, and 0.5% inositol. METHODS: An in vitro keratinocyte cell assay using 3-(4,5-dimethylthiazolyl-2)-2,5 diphenyltetrazolium bromide (MTT), and an in vitro EpiKutis® skin study adopted hematoxylin and eosin staining, immunostaining, and liquid chromatography-mass spectrometry (LC-MS) analysis were carried out to investigate the safety of Putocrin®. A pigskin-Franz cell system experiment applied high-performance liquid chromatography (HPLC) to compare the skin penetration efficiency of fluorescein isothiocyanate (Fitc)-labeled tranexamic acid with or without the assistance of Putocrin®. The safety and efficacy of Putocrin® was further evaluated on zebrafish embryos. RESULTS: The MTT assay showed that Putocrin® at concentration ≤2.5% did not significantly affect cell viability. The in vitro EpiKutis® skin study revealed that 2.5% Putocrin® did not affect skin morphology, filaggrin content, ceramide/protein, or fatty acid/protein ratios, but significantly increased loricrin content by 86.00% (p < 0.001). The pigskin-Franz cell penetration experiment demonstrated that Fitc-labeled tranexamic acid could barely penetrate the skin (with penetration rate of 1.121%), while Putocrin® significantly enhanced the penetration rate up to 83.983%, which was close to unlabeled tranexamic acid (90.013%). The zebrafish embryo study showed that 2.5% Putocrin® did not exert observable toxicity and obviously assisted the skin penetration of Fitc-labeled tranexamic acid into fish embryos. These results indicate the strong enhancing skin penetration potency of Putocrin®. CONCLUSION: This study demonstrated the safety as well as the strong enhancing skin penetration potency of Putocrin® for cosmetics formulation use.

Rapid identification of peanut oil adulteration by near infrared spectroscopy and chemometrics.

Peanut oil, prized for its unique taste and nutritional value, grapples with the pressing issue of adulteration by cost-cutting vendors seeking higher profits. In response, we introduce a novel approach using near-infrared spectroscopy to non-invasively and cost-effectively identify adulteration in peanut oil. Our study, analyzing spectral data of both authentic and intentionally adulterated peanut oil, successfully distinguished high-quality pure peanut oil (PPEO) from adulterated oil (AO) through rigorous analysis. By combining near-infrared spectroscopy with factor analysis (FA) and partial least squares regression (PLS), we achieved discriminant accuracies exceeding 92 % (S > 2) and 89 % (S > 1) for FA models 1 and 2, respectively. The PLS model demonstrated strong predictive capabilities, with a prediction coefficient (R2) surpassing 93.11 and a root mean square error (RMSECV) below 4.43. These results highlight the effectiveness of NIR spectroscopy in confirming the authenticity of peanut oil and detecting adulteration in its composition.

Autochthonous organic matter input in reservoirs: Limited methane oxidation in sediments fails to suppress methane emission.

The interception of rivers leads to the accumulation of substantial organic matter in reservoirs, exerting a significant influence on greenhouse gas emissions. The diverse imported organic matter, coupled with sedimentary heterogeneity and intricate microbial processes, gives rise to seasonal variations in methane emissions from reservoirs. In this study, sediment cores were supplemented with terrestrial or autochthonous carbon to emulate reservoir carbon input across different seasons, thereby investigating methane emission potential and associated microbial mechanisms within the sediment cores. Results demonstrated that autochthonous organic matter enhanced sediment organic content, thereby providing more substrates for the methanogenic process and fostering the proliferation of methanogens (with a relative abundance of 47.17 % to 60.66 %). Notably, the dominant genera of Methanosaeta, Methanosarcina, and Candidatus Methanomethylicus were boost on the surface layer of sediment. Concurrently, the introduction of autochthonous organic carbon spurred an increase in methane-oxidizing microbe, reaching up to 5.59 %, with Methylobacter and Candidatus Methanoperedens as the predominant species, which led to a downward migration of the functional microbial group in the sediment. Under the priming impact of autochthonous carbon, however, the methane oxidation probably doesn't consume the substantial methane produced in sediment. Consequently, the sediment functions as a hotspot for methane release into the overlying water, highlighting the necessity to include summer as critical periods for integrated assessments, particularly during algae bloom.

GWAS identifies DPP6 as risk gene of cognitive decline in Parkinson's disease.

BACKGROUND: Cognitive decline is among the most common non-motor symptoms in Parkinson's disease (PD), while its physiological mechanisms remain poorly understood. Genetic factors constituted a fundamental determinant in the heterogeneity of cognitive decline among PD patients. However, the underlying genetic background was still less studied. METHODS: To explore the genetic determinants contributing to cognitive decline in PD, we performed genome-wide survival analysis using a Cox proportional hazards model in a longitudinal cohort of 450 Chinese patients with PD, and further explored the functional effect of the target variant. Additionally, we built a clinical-genetic model by incorporating clinical characteristics and polygenic risk score (PRS) to predict cognitive decline in PD. RESULTS: The cohort was followed up for an average of 5.25 (SE=2.46) years, with 95 incidents of cognitive impairment. We identified significant association between locus rs75819919 (DPP6) and accelerated cognitive decline (P=8.63E-09, beta=1.74, SE=0.30). Dual-luciferase reporter assay suggested this locus might be involved in the regulation of DPP6 expression. Using dataset from the UK Biobank, we identified rs75819919 was associated with cognitive performance in the general population. Incorporation of PRS increased the model predictability, achieving an average AUC of 75.6% through 5-fold cross-validation in 1,000 iterations. CONCLUSIONS: These findings improve the current understanding of the genetic etiology of cognitive impairment in PD, and provide a novel target DPP6 to explore therapeutic options. Our results also demonstrate the potential to develop clinical-genetic model to identify patients susceptible to cognitive impairment and thus provide personalized clinical guidance.

Radix Rehmanniae Praeparata promoted zebrafish fin regeneration through aryl hydrocarbon receptor-dependent autophagy.

HEADINGS ETHNOPHARMACOLOGICAL RELEVANCE: Rehmanniae Radix Praeparata (RRP), a staple in traditional Chinese medicine, is derived from Rehmannia glutinosa Libosch and is renowned for its wound-healing properties. Despite its clinical prevalence, the molecular mechanisms underlying RRP's wound-healing effects have not been fully elucidated. AIM OF THE STUDY: This research endeavored to delineate the molecular and cellular mechanisms underlying the beneficial effects of RRP on wound healing, utilizing a zebrafish model. MATERIALS AND METHODS: Zebrafish larvae at 3 days post-fertilization were amputated at the fin and subsequently treated with RRP. The pro-wound healing and regenerative effects of RRP were evaluated through morphological analysis, assessment of cell proliferation and apoptosis, Additionally, mechanistic insights were gained through a comprehensive approach encompassing network pharmacology analysis, cell tracing, RNA-sequencing, CRISPR/Cas9 gene editing, and pharmacological inhibition. RESULTS: Our findings demonstrate that RRP significantly accelerates caudal fin regeneration in zebrafish following injury by suppressing cell apoptosis, promoting cell proliferation, and upregulating the expression of regenerative-related genes. Furthermore, RRP triggers autophagy signals during the regenerative process, which is attenuated by the autophagy inhibitor chloroquine (CQ). Notably, the administration of RRP enhances the expression of ahr1 and ahr2 in the regenerating fin. Genetic knockout of ahr1a, ahr1b, or ahr2 using CRISPR/Cas9, or pharmacological blockade of AHR signals with the antagonist CH-223191, diminishes the regenerative potential of RRP. Remarkably, zebrafish lacking ahr2 completely lose their fin regeneration ability. Additionally, inhibition of AHR signaling suppresses autophagy signaling during fin regeneration. CONCLUSIONS: This study uncovers that RRP stimulates fin regeneration in zebrafish by inducing AHR signals and, at least partially, activating the autophagy process. These findings provide novel insights into the molecular mechanisms underlying the wound-healing effects of RRP and may pave the way for the development of novel therapeutic strategies.

Correlation analysis of peripheral platelet markers and disease phenotypes in Alzheimer's disease.

INTRODUCTION: Platelets serve as the primary peripheral reservoir of amyloid beta (Aß). However, there is limited research on platelet markers in routine blood examinations, particularly with regard to the large platelet ratio (P-LCR) in Alzheimer's disease (AD). METHODS: This study included 512 AD patients and 205 healthy controls (HCs). Platelet markers and apolipoprotein E (APOE) 4 status were assessed in all participants. RESULTS: The study revealed that P-LCR was significantly elevated in AD patients compared to HCs. In AD patients carrying APOE4, P-LCR significantly negatively correlated with Montreal Cognitive Assessment scores. There was an observed increasing trend in the rate of change in P-LCR with disease progression. Binary logistic regression analysis indicated that P-LCR may constitute a risk factor for AD, after adjusting for age, sex, APOE4, and body mass index. DISCUSSION: P-LCR is associated with disease severity in AD patients carrying APOE4. P-LCR may be a promising marker to reflect platelet activity in AD patients. HIGHLIGHTS: P-LCR significantly negatively correlated with MoCA scores in AD patients with APOE4. The rate of change in P-LCR showed an increasing trend with disease progression. P-LCR may be a risk factor for AD.

Effect of dietary patterns on mild cognitive impairment and dementia: a machine learning bibliometric and visualization analysis.

Objective: As a spectrum of neurodegenerative conditions, dementia presents a significant challenge to worldwide health. Mild cognitive impairment (MCI) is recognized as the intermediate stage between normal cognitive functioning and dementia. Studies highlight the significant impact of dietary patterns on the management of MCI and dementia. Currently, comprehensive research on dietary patterns specific to MCI and dementia is limited, but bibliometric analysis offers a method to pinpoint essential research directions. Methods: On November 18, 2023, a search was conducted in the Web of Science Core Collection (WoSCC) for publications on diet and MCI/dementia. Tools such as Rstudio, CiteSpace, and VOSviewer were employed to create a knowledge atlas. This atlas analyzed collaborations, reference co-citations, keyword patterns, and emerging trends. Results: The search yielded 1,493 publications on diet and MCI/dementia, indicating a growing interest despite fluctuations. Contributions came from 70 countries/regions and 410 organizations across 456 journals. The USA and China led in publication numbers, with significant contributions from Columbia University and Harvard Medical School. Top authors include Scarmeas Nikolaos, Morris Martha Clare, and Samieri Cecilia. The Ketogenic, Mediterranean, and MIND diets emerged as key dietary patterns for cognitive decline prevention, highlighting the role of genetic factors, especially ApoE polymorphisms, in cognitive deterioration. Conclusion: This study provides core countries, institutions, and authors in the field, and points out the development directions in the field. Future research directions in dietary for MCI and dementia will focus on: (1) the potential effects of the KD in alleviating oxidative stress and modulating gut microbiota in neurodegenerative diseases; (2) how diet influences cognitive health through patterns of ApoE and protein expression; (3) investigating the interactions between gut microbiota and brain function, known as the "gut-brain axis."

Associations of cerebrospinal fluid profiles with severity and mortality risk of amyotrophic lateral sclerosis.

Background: The relationship between routine cerebrospinal fluid (CSF) testing and the disease phenotype of amyotrophic lateral sclerosis (ALS) is unclear, and there are some contradictions in current studies. Methods: This study aimed to analyze the relationship between CSF profiles and disease phenotype in ALS patients. We collected 870 ALS patients and 96 control subjects admitted to West China Hospital of Sichuan University. CSF microprotein, albumin, IgG, index of IgG (IgGindex), albumin quotient (QALB), and serum IgG were examined. Results: In ALS patients, CSF IgG, and QALB were significantly increased, while CSF IgGindex was decreased, compared with control subjects. Approximately one-third of ALS patients had higher CSF IgG levels. The multiple linear regression analysis identified that CSF IgGindex was weakly negatively associated with ALS functional rating scale revised (ALSFRS-R) scores (ß = -0.062, p = 0.041). This significance was found in male ALS but not in female ALS. The Cox survival analyses found that upregulated CSF IgG was significantly associated with the increased mortality risk in ALS [HR = 1.219 (1.010-1.470), p = 0.039]. Conclusion: In the current study, the higher CFS IgG was associated with increased mortality risk of ALS. CSF IgGindex may be associated with the severity of ALS. These findings may be sex-specific.

Evaluation of the safety and efficacy of cosmetics ingredient Spherulites Paeony Superior Retinol.

BACKGROUND: Microencapsulation of hydroxypinacolone retinoate (HPR) can improve its application in cosmetics. OBJECTIVE: To investigate the safety and efficacy of Spherulites Paeony Superior Retinol, a HPR microcapsule containing 5%-10% peony seed oil, 0.01%-1% epigallocatechin gallatyl glucoside (ECGG), and 0.1%-1% HPR. METHODS: The safety of Spherulites Paenoy Superior Retinol was evaluated with zebrafish embryo self-rotation irritation test and developmental toxicity test. SymRenew™ HPR was used as a reference. The skin care efficacies of Spherulites Paenoy Superior Retinol were evaluated using zebrafish embryos covering antioxidation, anti-inflammation, blood circulation, whitening, wound healing, skin barrier protection, Type I collagen, elastin, and 5α-reductase genes expression activities. RESULTS: The irritation test revealed that 250 µg/mL Spherulites Paenoy Superior Retinol did not, while 20 µg/mL SymRenew™ HPR significantly (p < 0.05) increased zebrafish embryo self-rotation frequency. The developmental toxicity test found the teratogenicity index (half lethal concentration/half toxicity concentration) of Spherulites Paenoy Superior Retinol and SymRenew™ HPR were 1.9 and 3.1, respectively. The efficacy analysis results showed that 5 µg/mL Spherulites Paenoy Superior Retinol significantly (p < 0.05) exerted 7.1% anti-ROS, 20% anti-inflammation, 14% enhanced blood circulation, 10% suppressed melanin synthesis, 9% enhanced tail fin regeneration, 72% elicited skin barrier protection activity, enhanced the expression of Type I collagen genes col1a1, col1a2, and col1a2 by 34%, 51%, and 42%, respectively, and elastin gene elna by 46%, and suppressed the expression of 5α-reductase genes srd5a1, srd5a2a, and srd5a2b by 52%, 15%, and 30%, respectively. CONCLUSION: This study demonstrated that Spherulites Paenoy Superior Retinol is a safe cosmetic ingredient with multi-skin care efficacies.

From cradle to grave: Deciphering sex-specific disruptions of the nervous and reproductive systems through interactions of 4-methylbenzylidene camphor and nanoplastics in adult zebrafish.

4-methylbenzylidene camphor (4-MBC) and micro/nanoplastics (MNPs) are common in personal care and cosmetic products (PCCPs) and consumer goods; however, they have become pervasive environmental contaminants. MNPs serve as carriers of 4-MBC in both PCCPs and the environment. Our previous study demonstrated that 4-MBC induces estrogenic effects in zebrafish larvae. However, knowledge gaps remain regarding the sex- and tissue-specific accumulation and potential toxicities of chronic coexposure to 4-MBC and MNPs. Herein, adult zebrafish were exposed to environmentally realistic concentrations of 4-MBC (0, 0.4832, and 4832 µg/L), with or without polystyrene nanoplastics (PS-NPs; 50 nm, 1.0 mg/L) for 21 days. Sex-specific accumulation was observed, with higher concentrations in female brains, while males exhibited comparable accumulation in the liver, testes, and brain. Coexposure to PS-NPs intensified the 4-MBC burden in all tested tissues. Dual-omics analysis (transcriptomics and proteomics) revealed dysfunctions in neuronal differentiation, death, and reproduction. 4-MBC-co-PS-NP exposure disrupted the brain histopathology more severely than exposure to 4-MBC alone, inducing sex-specific neurotoxicity and reproductive disruptions. Female zebrafish exhibited autism spectrum disorder-like behavior and disruption of vitellogenesis and oocyte maturation, while male zebrafish showed Parkinson's-like behavior and spermatogenesis disruption. Our findings highlight that PS-NPs enhance tissue accumulation of 4-MBC, leading to sex-specific impairments in the nervous and reproductive systems of zebrafish.

Longitudinal Evolution and Plasma Biomarkers for Excessive Daytime Sleepiness in Parkinson's Disease.

BACKGROUND: Excessive daytime sleepiness (EDS) is one of the most frequent nonmotor symptoms in Parkinson's disease (PD); however, the pathogenesis of EDS is unclear, and there is a lack of information on plasma biomarkers for EDS in PD. We aimed to investigate the plasma biomarkers of EDS in a large PD cohort. METHODS: A total of 159 PD patients were included in the prospective cohort study and followed up annually for 3 years. Plasma biomarkers including glial fibrillary acidic protein, amyloid-beta, p-tau181, and neurofilament light chain (NfL), were measured using an ultrasensitive single-molecule array (Simoa) technology at each visit. EDS was evaluated using the Epworth Sleepiness Scale (ESS). RESULTS: The frequency of EDS in PD increased from 15.1% at baseline to 25.0% after 3 years. The mean ESS scores increased from 5.1 (standard deviation [SD]: 4.8) at baseline to 6.1 (SD: 5.5) at the third year of follow-up. At baseline, compared with patients with PD without EDS, those with EDS were more likely to be male, had poorer cognitive performance, and more severe motor and nonmotor symptoms. The adjusted generalized estimating equations models showed that higher plasma NfL levels (OR: 1.047 [1.002-1.094], p = .042) were associated with EDS during follow-ups. The adjusted linear mixed-effects model showed that higher plasma NfL levels (ß 0.097 [0.012-0.183], p = .026) were associated with ESS scores during follow-ups. CONCLUSIONS: Higher plasma NfL levels were associated with EDS in PD, indicating an association between neuro-axonal degeneration and EDS in PD.

Plasma GFAP as a prognostic biomarker of motor subtype in early Parkinson's disease.

Parkinson's disease (PD) is a heterogeneous movement disorder with different motor subtypes including tremor dominant (TD), indeterminate and postural instability, and gait disturbance (PIGD) motor subtypes. Plasma glial fibrillary acidic protein (GFAP) was elevated in PD patients and may be regarded as a biomarker for motor and cognitive progression. Here we explore if there was an association between plasma GFAP and different motor subtypes and whether baseline plasma GFAP level can predict motor subtype conversion. Patients with PD classified as TD, PIGD or indeterminate subtypes underwent neurological evaluation at baseline and 2 years follow-up. Plasma GFAP in PD patients and controls were measured using an ultrasensitive single molecule array. The study enrolled 184 PD patients and 95 control subjects. Plasma GFAP levels were significantly higher in the PIGD group compared to the TD group at 2-year follow-up. Finally, 45% of TD patients at baseline had a subtype shift and 85% of PIGD patients at baseline remained as PIGD subtypes at 2 years follow-up. Baseline plasma GFAP levels were significantly higher in TD patients converted to PIGD than non-converters in the baseline TD group. Higher baseline plasma GFAP levels were significantly associated with the TD motor subtype conversion (OR = 1.283, P = 0.033) and lower baseline plasma GFAP levels in PIGD patients were likely to shift to TD and indeterminate subtype (OR = 0.551, P = 0.021) after adjusting for confounders. Plasma GFAP may serve as a clinical utility biomarker in differentiating motor subtypes and predicting baseline motor subtypes conversion in PD patients.

Selecting Monoclonal Cell Lineages from Somatic Reprogramming Using Robotic-Based Spatial-Restricting Structured Flow.

Somatic cell reprogramming generates induced pluripotent stem cells (iPSCs), which serve as a crucial source of seed cells for personalized disease modeling and treatment in regenerative medicine. However, the process of reprogramming often causes substantial lineage manipulations, thereby increasing cellular heterogeneity. As a consequence, the process of harvesting monoclonal iPSCs is labor-intensive and leads to decreased reproducibility. Here, we report the first in-house developed robotic platform that uses a pin-tip-based micro-structure to manipulate radial shear flow for automated monoclonal iPSC colony selection (~1 s) in a non-invasive and label-free manner, which includes tasks for somatic cell reprogramming culturing, medium changes; time-lapse-based high-content imaging; and iPSCs monoclonal colony detection, selection, and expansion. Throughput-wise, this automated robotic system can perform approximately 24 somatic cell reprogramming tasks within 50 days in parallel via a scheduling program. Moreover, thanks to a dual flow-based iPSC selection process, the purity of iPSCs was enhanced, while simultaneously eliminating the need for single-cell subcloning. These iPSCs generated via the dual processing robotic approach demonstrated a purity 3.7 times greater than that of the conventional manual methods. In addition, the automatically produced human iPSCs exhibited typical pluripotent transcriptional profiles, differentiation potential, and karyotypes. In conclusion, this robotic method could offer a promising solution for the automated isolation or purification of lineage-specific cells derived from iPSCs, thereby accelerating the development of personalized medicines.

Microbial methanogenesis in aerobic water: A key driver of surface methane enrichment in a deep reservoir.

Significant amounts of the greenhouse gas methane (CH4) are released into the atmosphere worldwide via freshwater sources. The surface methane maximum (SMM), where methane is supersaturated in surface water, has been observed in aquatic systems and contributes significantly to emissions. However, little is known about the temporal and spatial variability of SMM or the mechanisms underlying its development in artificial reservoirs. Here, the community composition of methanogens as major methane producers in the water column and the mcrA gene was investigated, and the cause of surface methane supersaturation was analyzed. In accordance with the findings, elevated methane concentration of SMM in the transition zone, with an annually methane emission flux 2.47 times higher than the reservoir average on a large and deep reservoir. In the transition zone, methanogens with mcrA gene abundances ranging from 0.5 × 103-1.45 × 104 copies/L were found. Methanobacterium, Methanoseata and Methanosarcina were the three dominate methanogens, using both acetic acid and H2/CO2 pathways. In summary, this study contributes to our comprehension of CH4 fluxes and their role in the atmospheric methane budget. Moreover, it offers biological proof of methane generation, which could aid in understanding the role of microbial methanogenesis in aerobic water.

Multispectral detection of dietary fiber content in Chinese cabbage leaves across different growth periods.

Multispectral imaging, combined with stoichiometric values, was used to construct a prediction model to measure changes in dietary fiber (DF) content in Chinese cabbage leaves across different growth periods. Based on all the spectral bands (365-970 nm) and characteristic spectral bands (430, 880, 590, 490, 690 nm), eight quantitative prediction models were established using four machine learning algorithms, namely random forest (RF), backpropagation neural network, radial basis function, and multiple linear regression. Finally, a quantitative prediction model of RF learning algorithm is constructed based on all spectral bands, which has good prediction accuracy and model robustness, prediction performance with R2 of 0.9023, root mean square error (RMSE) of 2.7182 g/100 g, residual predictive deviation (RPD) of 3.1220 > 3.0. In summary, this model efficiently detects changes in DF content across different growth periods of Chinese cabbage, which offers technical support for vegetable sorting and grading in the field.

Significantly enhanced uranium extraction by intelligent light-driven nanorobot catchers with precise controllable moving trajectory.

Uranium, as the most essential resource for nuclear power production, provides 13% of global electricity demand, has attracted considerable attention. However, it is still a great challenge for uranium extraction from natural water like salt lakes as the background of high salinity and low concentration (3.3 ∼ 330 ppb). Meanwhile, current uranium extraction strategies are generally focus on extraction capacity or selectivity but neglect to enhance extraction rate. In this work, we designed a novel kind of NIR-driven intelligent nanorobots catchers (MSSA-AO) with amidoxime as claws for uranium capture, which showed almost 100% extraction rate and an ultrafast extraction rate. Importantly, high extraction capacity (221.5 mg g-1) and selectivity were taken into consideration as well as good regeneration performance. Furthermore, amidoxime NRCs boosted in extraction amount about 16.7% during the first 5 min with self-driving performance. Overall, this work suggests a new strategy for ultrafast extraction of uranium from natural water with low abundance selectively by self-propelled NRCs, showing great possibility in outdoor application and promising for meeting huge energy needs globally.

Relationship between plasma NFL and disease progression in Parkinson's disease: a prospective cohort study.

OBJECTIVE: We aimed to examine the longitudinal change of plasma neurofilament light chain (NFL) level and explore its diagnostic and prognostic implications in Parkinson's disease (PD). METHODS: A total of 184 patients with early PD who completed 5-year annually repeated clinical assessments were included. Plasma NFL at baseline, 1 year, and 2 year were examined, which were quantified using the ultrasensitive Simoa technology. At baseline, blood from 86 sex- and age-matched healthy controls (HC) were obtained for comparison. RESULTS: Plasma NFL in PD patients at baseline was significantly higher than those in HC (P = 0.046), and significantly increased after 2 years (P = 0.046). Receiver operating characteristic curve indicated that a plasma NFL cut-off value of 10.79 pg/mL resulted in 39.7% sensitivity and 84.0% specificity, with an area under the curve of 0.635, to distinguish PD from HC (P < 0.001). Linear mixed-effect models indicated that baseline plasma NFL (> 9.24 pg/mL) correlated with a greater increase in the Unified Parkinson's Disease Rating Scale III (estimate = 0.651, P = 0.001) and Hoehn & Yahr stage (estimate = 0.072, P < 0.001), and also correlated with a greater decrease in the Montreal Cognitive Assessment (estimate = - 0.387, P < 0.001) during follow-up visits. CONCLUSIONS: Plasma NFL exhibits a tendency to increase with disease progression, and elevated baseline plasma NFL can serve as a predictor for accelerated motor deterioration and cognitive decline in PD. However, plasma NFL does not have high accuracy to distinguish individuals with early-stage PD from HC.

Remediation of 2,4-dichlorophenol-contaminated soil by electrokinetic delivery of persulfate technology.

2,4-Dichlorophenol (2,4-DCP) is difficult to degrade rapidly in the environment due to its stable chemical properties, so it was easy to lead to serious chlorophenol pollution in soil. Consequently, a remediation method which is efficient, safe, and economical is required. In this study, electrokinetic (EK) remediation was used to transfer sodium persulfate (Na2S2O8) into soil to degrade 2,4-DCP, and the effect of several factors (including the addition location of Na2S2O8, applied voltage, and running time) on the remediation efficiency was explored. The concentration of Na2S2O8, residual efficiency of 2,4-DCP and distribution characteristics of pH, and electrical conductivity were analyzed. The results showed that the cathode was the optimal position to add Na2S2O8. Under this condition, Na2S2O8 was uniformly distributed in the whole soil column through electromigration. The optimal removal efficiency of 2,4-DCP in soil by adding Na2S2O8 was approximately 26% when the voltage gradient was 1.0 V/cm and the operating time was 9 days, which was mainly due to the degradation of S2O82-.