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The present study examines the spatio–temporal trend analysis of rainfall and temperature over time (annual, warm season, and cold season) from 1981 to 2010 in Xinjiang Province, China. The Mann–Kendall test, least square linear regression, and Spearman rank correlation were used to detect the direction and magnitude of change in rainfall and temperature. A panel data set of 8 meteorological factors during 1981–2010 was used to detect the statistical relationship between rainfall and other meteorological factors in Sect. 4.4. The results showed that annual rainfall and seasonal rainfall increased steadily, and the increasing rainfall trend during the cold season was more significant compared to the warm season. For temperature, average, high, and low temperatures increased on the annual and seasonal scales. Spatially, the northern parts of Xinjiang received more rainfall and showed higher variability. Based on the rainfall trend, the province was clustered into three parts using the K–means method. Based on this clustering, the statistical relationships between rainfall and other meteorological factors were investigated. The results showed that temperature and relative humidity were significantly correlated with rainfall in the three clusters, whereas sunshine, wind speed, and cloud cover had small influences on rainfall. [ABSTRACT FROM AUTHOR]

Soil moisture is a key factor affecting crop growth and crop yield. Information on soil moisture is critical for crop growth monitoring and yield estimation. This study evaluated the OPtical TRApezoid Model (OPTRAM) on soil moisture estimates in the Sanjiang Plain, China, using Moderate Resolution Imaging Spectroradiometer (MODIS) data and in situ soil moisture data acquired from May to September in 2016 and 2017. This model was empirically calculated by parameterizing the relationship between the normalized difference vegetation index (NDVI) and shortwave infrared transformed reflectance (STR). In addition, the precipitation data were collected and used for verification of the results. According to the scatterplots of STR and NDVI, OPTRAM can estimate soil moisture from July to September, while it's inapplicable in May and June. Evaluation results indicated that OPTRAM‐based soil moisture estimates provide overall RMSE from 0.05 to 0.13 cm3/cm3, bias from −0.11 to 0.06 cm3/cm3, and R2 from 0.10 to 0.50, respectively, for all investigated sites. The performance of OPTRAM compared with the precipitation data showed good agreement. In conclusion, OPTRAM could be used to estimate soil moisture with reasonable accuracy in most areas from July to September in Sanjiang Plain. Key Points: The parameters of the OPtical TRApezoid Model (OPTRAM) is inapplicable at the early stage of the crop growth period in an area of paddy fieldThe OPTRAM soil moisture estimates show better performance in the middle and late crop growthThe OPTRAM soil moisture estimates show close agreement with the precipitation, while there is a hysteresis sometimes [ABSTRACT FROM AUTHOR]

Biochar is widely used as a soil amendment. Enzyme activity is an important factor that reflects soil metabolic activity, and is involved in biochemical processes such as organic matter decomposition and nutrient cycling in soils. However, the effects of biochar prepared for different straw materials on soil enzyme activity and soil nutrients are rarely studied. Through pot experiments, the effects of different straw (wheat, rice, maize) biochars (obtained by pyrolysis at 500 °C) on soil organic carbon, nitrogen, available phosphorus, and enzyme activity were studied in paddy soil. The results showed that the addition of biochar increased the soil organic carbon content, which gradually decreased with the extension of the rice growth period. The soil ammonium nitrogen content gradually decreased as the rice growth period continued; however, the soil nitrate nitrogen content first decreased and then increased over the rice growth period. Soil invertase, phosphatase, and urease activity first increased and then decreased, and the enzyme activity was the highest at the heading stage of rice. At this time, there were also significant correlations between enzyme activity and carbon, nitrogen, and phosphorus levels, except in the case of soil urease activity. The geometric mean of the investigated enzyme activities was the highest after amendment with rice straw biochar. These results indicate that the response of enzyme activity to biochar depends on the biochar feedstock and the rice growth stage. [ABSTRACT FROM AUTHOR]

To develop solar energy as a primary source of electricity supply in China, it is imperative to also develop an overall and complete solar energy potential analysis. Such an analysis technique would be a substantial contribution to solar power generation development both nationally and regionally. This study analyzes the spatial and temporal distribution of solar energy in China and estimates the solar energy potential from three aspects: geography, technology, and economy. The results of this research showed that the solar energy resource in China is substantially rich and stable, but also has notable spatial heterogeneity. A potential estimation indicated that Xinjiang Province was the most optimal site for large-scale photovoltaic station construction, displaying the highest values for all three potentials. It was also found that solar energy potential in western China is greater, while the eastern region is less suitable for solar photovoltaic development. These results can provide support for the large-scale development and utilization of solar energy resources in the future. • Chinese solar energy resources are stable and has notable spatial heterogeneity. • Northwestern China was with higher potential than the east. • Xinjiang Province was the most optimal option for PV station operation. • Land use remained critical for large-scale PV generation. [ABSTRACT FROM AUTHOR]

To investigate the long-term characteristics of precipitation in Xinjiang, China, two long-term monthly satellite precipitation datasets called CHIRPS (Climate Hazards Group Infrared Precipitation with Stations data) and PERSIANN-CDR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record) are evaluated and compared with in situ measurements from 105 meteorological stations for the period 1983–2014. The evaluation is performed at multiple temporal and spatial scales. Results based on comparisons with in situ measurements show that PERSIANN-CDR and CHIRPS have similar correlations. However, both of the BIAS and RMSE, CHIRPS outperformed PERSIANN-CDR with the smaller errors and bias. In terms of the long time-series comparison at temporal scale, CHIRPS is more accurate with gauge observations at monthly and annual scales while PERSIANN-CDR tends to overestimate the precipitation in the rain season (from May to September). Furthermore, compared with PERSIANN-CDR, results show that CHIRPS is more accurate in reflecting the spatial distribution of average monthly and annual precipitation. In summary, the study shows that CHIRPS is a valuable complement to gauge precipitation data and provides useful guidance when choosing satellite precipitation product for hydrometeorological applications in Xinjiang. [ABSTRACT FROM AUTHOR]

To investigate the molecular mechanism of communication network factor 1 (CCN1) regulating pentylenetetrazol (PTZ)-induced epileptogenesis, deepen the understanding of epilepsy seizure pathogenesis, and provide new drug action targets for its clinical prevention and treatment. Differentially expressed genes (DEGs) on microarrays GSE47516 and GSE88992 were analyzed online using GEO2R. Pathway enrichment and protein–protein interaction network (PPI) analysis of DEGs were carried out using Metascape. Brain tissue samples of severe traumatic brain injury patients (named Healthy group) and refractory epilepsy patients (named Epilepsy group) were obtained and analyzed by qRT-PCR and immunohistochemistry (IHC) staining. A PTZ-induced epilepsy mouse model was established and verified. Morphological changes of neurons in mouse brain tissue were detected using hematoxylin and eosin (HE) staining. qRT-PCR was conducted to detect the mRNA expressions of apoptosis-associated proteins Bax, Caspase-3 and bcl2. TUNEL staining was performed to detect brain neuron apoptosis. The levels of myocardial enzymology, GSH, MDA and ROS in blood of mouse were detected by biochemical assay. CCN1 expression was increased in epilepsy brain tissue samples. CCN1 decreasing effectively prolongs seizure incubation period and decreases seizure duration. Silencing of CCN1 also reduces neuronal damage and apoptosis, decreases mRNA and protein expression of proapoptotic proteins Bax and Caspase-3, increases mRNA expression of antiapoptotic protein Bcl2. Moreover, decrease of CCN1 decreases myocardial enzymatic indexes CK and CK-MB levels, reduces myocardial tissue hemorrhage, and relieves oxidative stress response in hippocampal and myocardial tissue. CCN1 expression is increased in epileptic samples. CCN1 decreasing protects brain tissue by attenuating oxidative stress and inhibiting neuronal apoptosis triggered by PTZ injection, which probably by regulating Nrf2/HO-1 pathway. [ABSTRACT FROM AUTHOR]

Neurogenesis in the cerebral infarction after an ischemic event is important to the rehabilitation of patients. However, the mechanism of angiogenesis around cerebral ischemia is not clear. Our study designed to test whether the nerve growth factor (NGF)-P-focal adhesion kinase (FAK) signaling pathway for associations with angiogenesis plays a key role in post-acute cerebral ischemia of rats. Firstly, we implanted the Matrigel, a carrier of basement membrane matrix, into the abdominal skin of rats to identify the relevant components of the NGF-P-FAK signaling pathway related to angiogenesis. Secondly, we used a model established by ligation of the middle cerebral artery (MCA) to observe the effect of the same signal pathway on angiogenesis in the subventricular and subgranular zones of the dentate gyrus(SVG and SGZ). The results showed that the tissue scores was significantly increased by NGF. However, the tissue scores was signifcaintly decreased by FAK inhibitor TAE226. Furthermore, CD31 and α-SMA were significantly increased by NGF and were decreased by anti-NGF and TAE226 in Matrigel. The P-FAK protein expression in Matrigel was markedly increased by NGF and decreased by TAE226. In the SVZ and SVG of cerebral ischemia, the numbers of BrdU-positive cells were significantly increased by NGF and decreased by TAE226, respectively. Our findings suggest that the therapy targeting the NGF-P-FAK signaling pathway may be an option for patients suffering from cerebral ischemia. [ABSTRACT FROM AUTHOR]

Drought is one of the most devastating climate disasters. Hence, drought forecasting plays an important role in mitigating some of the adverse effects of drought. Data-driven models are widely used for drought forecasting such as ARIMA model, artificial neural network (ANN) model, wavelet neural network (WANN) model, support vector regression model, grey model and so on. Three data-driven models (ARIMA model; ANN model; WANN model) are used in this study for drought forecasting based on standard precipitation index of two time scales (SPI; SPI-6 and SPI-12). The optimal data-driven model and time scale of SPI are then selected for effective drought forecasting in the North of Haihe River Basin. The effectiveness of the three data-models is compared by Kolmogorov-Smirnov (K-S) test, Kendall rank correlation, and the correlation coefficients (R). The forecast results shows that the WANN model is more suitable and effective for forecasting SPI-6 and SPI-12 values in the north of Haihe River Basin. [ABSTRACT FROM AUTHOR]

The aim of this study was to investigate the patterns of brain activity changes in early-onset Parkinson's disease (EOPD) patients and its relationship with the severity of disease and motor deterioration. Electroencephalography (EEG) was performed in a sample of 52 nondemented EOPD patients and 20 healthy controls with similar age. All patients underwent a battery to assess PD severity and motor deterioration. The EEG data were rated by visual and quantitative analyses with the grant total EEG (GTE) score and NicoletOne Software. The parameters of relative band power and coherences for various frequency bands were calculated. In addition, all parameters were compared between groups and examined for correlations with the severity of disease and motor deterioration. The GTE score and two subscores including "Diffuse Slow Waves" and "Frequency of Rhythmic Background Activity" of EOPD increased comparing to control group. The relative beta band powers in seven regions (O1,O2,T5,T6,P3,P4 and C3) indicated significant decreases in EOPD patients and obvious increases in interhemispheric beta coherences were observed in the midtemporal area and frontal area (T3T4 and F3F4). Furthermore, correlation analyses revealed that longer duration was associated with the subscore of "background wave frequency". The beta frequency bands in the right posterior temporal (T6) showed negative relationship with the modified Hoehn--Yahr grading scores. This study is the first to depict the patterns of EEG changes in EOPD patients without dementia and offer a better understanding of the pathophysiological mechanisms underlying and prognostic purposes in EOPD. Some of these changes could serve as useful biomarkers in the study of EOPD. [ABSTRACT FROM AUTHOR]

The aim of this study was to investigate changes in brain activity associated with mild cognitive impairment (MCI) in a large sample of nondemented Parkinson's disease (PD) patients and its relationship with specific neuropsychological deficits. Electroencephalography (EEG) and neuropsychological assessment were performed in a sample of 135 nondemented PD patients and 44 healthy controls. All patients underwent a neuropsychological battery to assess global cognitive function. Patients were classified according to their cognitive status as PD patients with MCI (n = 61) and without MCI (n = 74). EEG data were used to analyze the relative band power parameters for the following frequency bands: delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz) and beta (13–30 Hz). In addition, relative band power parameters were compared between groups and examined for correlations with neuropsychological performance. The relative theta band powers in three regions (O1, T5 and F4) exhibited statistically significant increases in PD patients with MCI. Beta band powers also exhibited obvious decreases in five regions (T5, T6, P3, P4 and C3) in the PD-MCI group compared with the normal control group. Furthermore, correlation analyses revealed that attention, visuospatial and executive functions were associated with theta power in local regions, mainly in the frontal region (F4). The present study demonstrated that changes in brain activities limited to distinct cognitive domains, especially the theta power in the frontal region, could serve as an electrophysiological marker of cognitive impairment in nondemented PD patients. [ABSTRACT FROM PUBLISHER]

Background. To diagnose Parkinson disease (PD) in an early stage and accurately evaluate severity, it is important to develop a sensitive method for detecting structural changes in the substantia nigra (SN). Method. Seventy-two untreated patients with early PD and 72 healthy controls underwent diffusion tensor and diffusion kurtosis imaging. Regions of interest were drawn in the rostral, middle, and caudal SN by two blinded and independent raters. Mean kurtosis (MK) and fractional anisotropy in the SN were compared between the groups. Receiver operating characteristic (ROC) and Spearman correlation analyses were used to compare the diagnostic accuracy and correlate imaging findings with Hoehn-Yahr (H-Y) staging and part III of the Unified Parkinson’s Disease Rating Scale (UPDRS-III). Result. MK in the SN was increased significantly in PD patients compared with healthy controls. The area under the ROC curve was 0.976 for MK in the SN (sensitivity, 0.944; specificity, 0.917). MK in the SN had a positive correlation with H-Y staging and UPDRS-III scores. Conclusion. Diffusion kurtosis imaging is a sensitive method for PD diagnosis and severity evaluation. MK in the SN is a potential biomarker for imaging studies of early PD that can be widely used in clinic. [ABSTRACT FROM AUTHOR]

The analysis of the spatiotemporal trends of precipitation and drought is relevant for the future development and sustainable management of water resources in a given region. In this study, precipitation and Standardized Precipitation Index (SPI) trends were analyzed through applying linear regression, Mann–Kendall, and Spearman’s Rho tests at the 5% significance level. For this goal, meteorological data from 9 meteorological stations in and around Aksu Basin during the period 1960–2010 was used, and two main annual drought periods were detected (1978-1979 and 1983–1986), while the extremely dry years were recorded in 1975 and 1985 at almost all of the stations. The monthly analysis of precipitation series indicates that all stations had increasing trend in July, October, and December, while both increasing and decreasing trends were found in other months. For the seasonal scale, precipitation series had increasing trends in summer and winter. 33% of the stations had the decreasing trend on precipitation in the spring series, and it was 11% in the autumn. At the same time, the SPI-12 values of all stations had the increasing trend. The significant trends were detected at Aheqi, Baicheng, Keping, and Kuche stations. [ABSTRACT FROM AUTHOR]

Drought identification and assessment are essential for regional water resources management. In this paper, the spatiotemporal characteristics of drought were evaluated based on monthly precipitation data from 33 synoptic stations during the period of 1960–2010. The percent of normal precipitation was applied to illustrate the driest years in Beijing-Tianjin-Hebei metropolitan areas (BTHMA) (1965, 1997, and 2002). The modified Reconnaissance Drought Index (RDI) was applied to capture the drought patterns and to estimate the drought severity at 33 meteorological stations. Agglomerative hierarchical cluster analysis (AHCA) and principal component analysis (PCA) were used to identify three different drought subregions R1, R2, and R3 based on the monthly precipitation values in BTHMA, which is located in southeast, north, and south of BTHMA, respectively. The year 1965 was the driest and 1964 was the wettest during the observed period. The characteristics of drought were analyzed in terms of the temporal evolution of the RDI-12 values and the frequency of drought for the three identified regions. The percentage of years characterized by drought was 13.73% for R1, 16.50% for R2, and 15.53% for R3. 66.91% of drought belongs to the near normal drought category. The obtained results can aid to improve water resources management in the area. [ABSTRACT FROM AUTHOR]

Abstract: Increasing evidence suggests that immune mediated inflammation contributes to the pathogenesis of Parkinson's disease (PD). However, whether genetic variants of genes coding for inflammatory cytokines influence the risk of cognitive impairment in PD is still unknown. In the present study, we examined whether interleukin-10 (IL-10, 1082G/A), interleukin-17A (IL-17A) rs8193036, rs2275913 and interferon-γ (IFN-γ) polymorphisms were associated with the risk of cognitive impairment in PD. The four gene polymorphisms were analyzed in 302 PD patients and results were compared to those obtained from 294 age- and gender-matched healthy controls (HC) enrolled from the Han Chinese population. PD patients were divided into two subgroups on the basis of mini mental state examination (MMSE) score: PD with cognitive impairment (MMSE scores<26) and PD without cognitive impairment (MMSE scores≥26). There was no significant difference in the distributions of genotype or allele between PD and control groups in the total population. However, the distribution of the rs8193036 (CC genotype, C allele) in PD individuals with an MMSE score<26 was significantly increased when compared to PD patients with an MMSE score≥26 (CC genotype: p =0.044; C allele: p =0.038). Also, there were significant differences in genotype and frequencies of the 1082G/A allele between PD cases with an MMSE score<26 and controls (genotype p =0.021; allele p =0.024). Logistic regression analysis showed that the 1082G/A (AA) genotype decreased (Odds ratio=0.440, p =0.042), while the rs8193036 (CC) genotype increased the risk of cognitive impairment in PD (OR=1.838, p =0.048). Based on our study, polymorphisms in immune/inflammatory-related genes such as IL-17A rs8193036 and IL-10 1082G/A might be correlated with the risk of PD with cognitive impairment in the Han Chinese population. [Copyright &y& Elsevier]

Abstract: Background: The mild cognitive impairment in Parkinson''s disease (PD-MCI) has received increasing attention, of which the diagnosis is challenging. To analyze the possible biomarkers for the early diagnosis, we investigated the metabolite changes in different brain regions of PD-MCI patients as well as appropriate controls by proton magnetic resonance spectroscopy (MRS). Methods: The metabolism in the occipital lobe, posterior cingulate, substantia nigra and basal ganglia was studied in 66 PD-MCI patients, 70 cognitively normal PD patients (PD-CN) and 74 healthy controls. Results: The N-acetylaspartate to creatine (NAA/Cr) ratio in the occipital lobe in PD-MCI patients was lower than that in healthy controls (P < 0.05). In contrast, the choline to creatine ratio in the posterior cingulate was higher in PD-MCI patients than in controls or PD-CN patients (both P < 0.05). No significant metabolite difference in the substantia nigra and basal ganglia was found. Furthermore, the decreases of the ratios of NAA/Cr in the occipital lobe were associated with PD-CN (P < 0.05) and PD-MCI (P < 0.0001) while the increase in the ratio of Cho/Cr in the posterior cingulate was associated with PD-MCI (P ≤ 0.01). Conclusion: The metabolite changes in the occipital lobe and posterior cingulate occur in the early cognitive impairment phase of PD patients. Such variations can be used as the marker for the detection of PD-MCI. [Copyright &y& Elsevier]

An accurate and spatially continuous estimation of terrestrial latent heat flux (LE) is fundamental and crucial for the rational utilization of water resources in the Haihe River Basin (HRB). However, the sparsity of flux observation sites hinders the accurate characterization of spatiotemporal LE patterns over the HRB. In this study, we estimated the daily LE across the HRB using the gradient boosting regression tree (GBRT) from global land surface satellite NDVI data, reanalysis data and eddy covariance data. Compared with the random forests (RF) and extra tree regressor (ETR) methods, the GBRT obtains the best results, with R2 = 0.86 and root mean square error (RMSE = 18.1 W/m2. Then, we applied the GBRT algorithm to map the average annual terrestrial LE of the HRB from 2016 to 2018 with a spatial resolution of 0.05°. When compared with the Global Land Surface Satellite (GLASS) and Moderate Resolution Imaging Spectroradiometer (MODIS) LE products, the difference between the terrestrial LE estimated by the GBRT algorithm and the GLASS and MODIS products was less than 20 W/m2 in most areas; thus, the GBRT algorithm was reliable and reasonable for estimating the long-term LE estimation over the HRB. [ABSTRACT FROM AUTHOR]

Satellite-derived terrestrial latent heat flux (LE) models are useful tools to understand regional surface energy and water cycle processes for terrestrial ecosystems in the Heihe River basin (HRB) of Northwest China. This study developed a satellite-derived hybrid LE model parameterized by three soil moisture (SM) constraints: SM , relative humidity (RH), and diurnal air temperature range (DT); and assessed model performance and sensitivity. We used MODerate Resolution Imaging Spectroradiometer (MODIS) and eddy covariance (EC) data from 12 EC flux tower sites across the HRB. The hybrid model was trained using observed LE over 2012/2013–2014, and validated using observed LE for 2015 and leave-one-out cross-validation. The results show that the three SM constraints schemes exhibited some modeling differences at the flux tower site scale. LE estimation using SM achieved the highest correlation (R 2 = 0.87, p < 0.01) and lowest root mean square error (RMSE = 20.1 W/m2) compared to schemes using RH or DT schemes. We then produced regional daily LE maps at 1 km × 1 km across the HRB for 2013–2015. Regional analysis shows that our LE estimates from all three constraint models exhibited large spatial variability and strong seasonal and annual variations, attributed to differences in parameterizing the model water constraints. This study provides data and model based evidence to improve satellite-derived hybrid LE models with regard to water constraints. Multiyear (2013–2015) mean seasonality of estimated LE across the Heihe River Basin. Unlabelled Image • A satellite-derived hybrid LE model was developed from MODIS and reanalysis data. • Three SM constraints schemes exhibited some LE modeling differences. • Different SM constraint schemes could impact the regional LE simulation. [ABSTRACT FROM AUTHOR]

Background: Nowadays, antidepressants still are the mainstay of treatment for depression in Parkinson's disease (PD) but some recent studies report that medication might aggravate motor symptoms in PD patients. This meta-analysis aims to assess the effect of non-pharmacological treatments for depression in patients with PD. Materials and Methods: Only randomized controlled trials (RCTs) were included. The participants were PD patients with comorbid depression (dPD). The interventions had the equivalent effect of non-pharmacological treatments alone compared with control(s). Scores of depression scale were selected as the primary outcome, while scores of Unified Parkinson's Disease Rating Scale part III and the incidence of side effects were the secondary outcome. The statistics were pooled and presented as weighted mean differences (WMDs), standardized mean differences (SMDs), or risk ratios (RRs) with their 95% confidence intervals (CIs). Results: Fifteen articles were eventually included; twelve studies reported on repetitive transcranial magnetic stimulation (rTMS) and three used cognitive behavioral therapy (CBT). Other interventions failed to have qualified studies. Our data indicated that both rTMS and CBT could significantly improve depression scores in a short term (SMD = −0.621, 95% CI [−0.964, −0.278]; SMD = −1.148, 95% CI [−1.498, −0.798], respectively). In addition, rTMS could alleviate motor symptom (WMD = −2.617, 95% CI [−4.183, −1.051]) and was relatively safe (RR = 1.054, 95% CI [0.698, 1.592]). Conclusion: Our data suggest that rTMS can safely alleviate depression and motor symptoms in dPD at least for a short period. Moreover, compared with clinical monitoring, CBT can improve depressive symptoms. [ABSTRACT FROM AUTHOR]

Objective: Our study aimed to explore the functional connectivity alterations between cortical nodes of resting-state networks in Parkinson's disease (PD) patients with wearing-off (WO) at different levels. Methods: Resting-state functional magnetic resonance imaging was performed on 36 PD patients without wearing-off (PD-nWO), 30 PD patients with wearing-off (PD-WO), and 35 healthy controls (HCs) to extract functional networks. Integrity, network, and edge levels were calculated for comparison between groups. UPDRS-III, MMSE, MOCA, HAMA, and HAMD scores were collected for further regression analysis. Results: We observed significantly reduced connectivity strength in the dorsal attention network and limbic network in the PD-WO group compared with the HC group. The PD-WO group showed a decreased degree of functional connectivity at 12 nodes, including the bilateral orbital part of the superior frontal gyrus, right olfactory cortex, left medial orbital part of the superior frontal gyrus, bilateral gyrus rectus, right parahippocampal gyrus, right thalamus, left Heschl's gyrus, right superior temporal gyrus part of the temporal pole, left middle temporal gyrus part of the temporal pole, and right inferior temporal gyrus. Furthermore, the PD-WO group showed a significantly lower degree of functional connectivity in the left orbital part of the superior frontal gyrus and right gyrus rectus than the PD-nWO group. Internetwork analysis indicated reduced functional connectivity in five pairs of resting-state networks. Conclusion: Our results demonstrated altered intra- and internetwork connections in PD patients with WO. These findings will facilitate a better understanding of the distinction between the network changes in PD pathophysiology. [ABSTRACT FROM AUTHOR]

Background To investigate whether structural network disconnectivity is associated with parkinsonian signs and their progression, as well as with an increased risk of incident parkinsonism. Methods In a prospective cohort (Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort study) consisting of 293 participants with small vessel disease (SVD), we assessed parkinsonian signs and incident parkinsonism over an 8-year follow-up. In addition, we reconstructed the white matter network followed by graph-theoretical analyses to compute the network metrics. Conventional magnetic resonance imaging markers for SVD were assessed. Results We included 293 patients free of parkinsonism at baseline (2011), with a mean age 68.8 (standard deviation [ SD ] 8.4) years, and 130 (44.4%) were men. Nineteen participants (6.5%) developed parkinsonism during a median (SD) follow-up time of 8.3 years. Compared with participants without parkinsonism, those with all-cause parkinsonism had higher Unified Parkinson's Disease Rating scale (UPDRS) scores and lower global efficiency at baseline. Baseline global efficiency was associated with UPDRS motor scores in 2011 (β = −0.047, p  < .001) and 2015 (β = −0.84, p  < .001), as well as with the changes in UPDRS scores during the 4-year follow-up (β = −0.63, p  = .004). In addition, at the regional level, we identified an inter-hemispheric disconnected network associated with an increased UPDRS motor score. Besides, lower global efficiency was associated with an increased risk of all-cause and vascular parkinsonism independent of SVD markers. Conclusions Our findings suggest that global network efficiency is associated with a gradual decline in motor performance, ultimately leading to incident parkinsonism in the elderly with SVD. Global network efficiency may have the added value to serve as a useful marker to capture changes in motor signs. [ABSTRACT FROM AUTHOR]

Background: Chorea-acanthocytosis (ChAc) is a rare hereditary autosomal recessive neurodegenerative disorder caused by pathogenic variants of the Vacuolar Protein Sorting 13 homolog A (VPS13A) gene. The variant spectrum of VPS13A has not been completely elucidated. This study reports two novel heterozygous VPS13A pathogenic variants in ChAc that expand the variant spectrum of VPS13A. Case presentation: We described a case of a 29-year-old man with typical clinical manifestations of ChAc, including chorea, orofacial lingual dyskinesia, vocal tics, elevated serum biochemical indicators, increased acanthocytes in peripheral blood, and caudate nucleus atrophy. Next-generation sequencing revealed two heterozygous variants of VPS13A: a nonsense variant (NM_033305.2: c.8215G > T, p. Glu2739Ter) and a deletion variant in the exons 25–31. Conclusion: The identified nonsense variant gives rise to premature translation termination, while the deletion variant is expected to cause a significant in-frame deletion of amino acid residues in the encoded protein. Both variants are considered to be pathogenic and result in loss-of-function proteins. These findings have implications for the genetic counseling of patients with VPS13A variants. [ABSTRACT FROM AUTHOR]

Objective: Emerging pathological evidence suggests that there is an association between glymphatic dysfunction and the progression of Parkinson's disease (PD). However, the clinical evidence of this association remains lacking. Methods: In this study, the index for diffusion tensor image analysis along the perivascular space (ALPS index) was calculated to evaluate glymphatic function. Results: Overall, 289 patients with PD were enrolled in the cross‐sectional study. The ALPS index was found to be negatively correlated with age, disease severity, and dyskinesia. In the longitudinal study, the information on a total of 95 PD patients with 5‐year follow‐up examinations was collected from the Parkinson's Progression Marker Initiative, 33 of which were classified into the low ALPS index group, and all others were classified into the mid‐high ALPS index group based on the first tertile of the baseline ALPS index. The results of longitudinal regression indicated that there was a significant main group effect on autonomic dysfunction, as well as on activities of daily living. In addition, the low ALPS index group had faster deterioration in MDS‐UPDRS part III and part II, Symbol Digit Modalities Test and Hopkins Verbal Learning Test. Path analysis showed that ALPS index acted as a significant mediator between tTau/ Aβ1‐42 and cognitive change in the Symbol Digit Modalities Test score at year 4 and year 5. Interpretation: The ALPS index, an neuroimaging marker of glymphatic function, is correlated with PD disease severity, motor symptoms, and autonomic function, and is predictive of faster deterioration in motor symptoms and cognitive function. Additionally, glymphatic function may mediate the pathological role of toxic protein in cognitive decline. ANN NEUROL 2023;94:672–683 [ABSTRACT FROM AUTHOR]

The pathological accumulation of α‐synuclein (α‐Syn) and the transmission of misfolded α‐Syn underlie α‐synucleinopathies. Increased plasma α‐Syn levels are associated with cognitive impairment in Parkinson's disease, multiple system atrophy, and dementia with Lewy bodies, but it is still unknown whether the cognitive deficits in α‐synucleinopathies have a common vascular pathological origin. Here, it is reported that combined injection of α‐Syn preformed fibrils (PFFs) in the unilateral substantia nigra pars compacta, hippocampus, and cerebral cortex results in impaired spatial learning and memory abilities at 6 months post‐injection and that this cognitive decline is related to cerebral microvascular injury. Moreover, insoluble α‐Syn inclusions are found to form in primary mouse brain microvascular endothelial cells (BMVECs) through lymphocyte‐activation gene 3 (Lag3)‐dependent α‐Syn PFFs endocytosis, causing poly(ADP‐ribose)‐driven cell death and reducing the expression of tight junction proteins in BMVECs. Knockout of Lag3 in vitro prevents α‐Syn PFFs from entering BMVECs, thereby reducing the abovementioned response induced by α‐Syn PFFs. Deletion of endothelial cell‐specific Lag3 in vivo reverses the negative effects of α‐Syn PFFs on cerebral microvessels and cognitive function. In short, this study reveals the effectiveness of targeting Lag3 to block the spread of α‐Syn fibrils to endothelial cells in order to improve cognition. [ABSTRACT FROM AUTHOR]

Objective: Striatal silent lacunar infarction (SSLI) is associated with structural changes to the substantia nigra (SN), detectable by diffusion kurtosis imaging (DKI). In this follow-up study, we investigated the effects of SSLI on the SN and movement disorders in patients with Parkinson's disease (PD).Methods: A total of 60 untreated patients with early-stage PD, divided into control and SSLI groups, were enrolled in this study. All participants underwent conventional MRI and DKI twice; at baseline and after a 1-year period. We analyzed the differences of the following variables between the two groups: mean kurtosis (MK) values of the SN, the severity of disease, daily dosage of levodopa, and the variation of these indexes from baseline to 1-year visit. Logistic regression analysis was used to identify the major risk factors for SSLI in PD patients.Results: 1. All variables showed significant differences between the two groups. 2. The variation in MK values of the SN had a positive correlation with the variation in the severity of disease. 3. Hypertension and hyperhomocysteinemia were independent factors for SSLI in patients with PD.Conclusion: As PD progresses, movement disorders become more prominent, with increased structural changes to the SN, especially in patients with SSLI. Furthermore, PD patients with hypertension and hyperhomocysteinemia are more likely to have SSLI. [ABSTRACT FROM AUTHOR]

Cerebellar dysfunction may substantially contribute to the clinical symptoms of Parkinson's disease (PD). The role of cerebellar subregions in tremors and gait disturbances in PD remains unknown. To investigate alterations in cerebellar subregion volumes and functional connectivity (FC), as well as FC between the dentate nucleus (DN) and ventral lateral posterior nucleus (VLp) of the thalamus, which are potentially involved in different PD motor subtypes. We conducted morphometric and resting-state functional connectivity analyses in various cerebellar subregions in 22 tremor-dominant (TD)-PD and 35 postural instability gait difficulty dominant (PIGD)-PD patients and 38 sex- and age-matched healthy controls (HCs). The volume and FC alterations in various cerebellar subregions and the neural correlates of these changes with the clinical severity scores were investigated. The PIGD-PD group showed greater FC between the right motor cerebellum (CBMm) and left postcentral gyrus than the HC group, and a higher FC was associated with less severe PIGD symptoms. In contrast, the TD-PD group had decreased FC between the right DN and left VLp compared with the PIGD-PD and HC groups, and lower FC was associated with worse TD symptoms. Furthermore, the PIGD-PD group had higher FC between the left DN and left inferior temporal gyrus than the TD-PD group. Morphometric analysis revealed that the TD-PD group showed a significantly higher volume of left CBMm than the HC group. Our findings point to differential alteration patterns in cerebellar subregions and offer a new perspective on the pathophysiology of motor subtypes of PD. [ABSTRACT FROM AUTHOR]

Objective. The aim of this study was to investigate the cognitive function characteristics of Parkinson’s disease (PD) with sleep disorders. Methods. Consecutive patients with PD (n=96), patients with primary sleep disorders (n=76), and healthy control subjects (n=66) were assessed. The patients with PD were classified into sleep disorder (PD-SD) and non-sleep disorder (PD-NSD) groups. Results. Among 96 patients with PD, 69 were diagnosed with a sleep disorder. There were 38 sleep disorder cases, 31 RBD cases, and 27 NSD cases. On the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and MoCA subtests, patients in the PD-SD, primary sleep disorder, and PD-NSD groups exhibited lower scores than those in the control group. Moreover, the PD-SD patients exhibited more significant cognitive impairment than was observed in the primary sleep disorder patients. In the PD-SD subgroup, the attention scores on the MoCA and on MoCA subtests were lower in the PD with RBD group than in the PD with insomnia group. Conclusion. PD with sleep disorders may exacerbate cognitive dysfunction in patients. PD associated with different types of sleep disorders differentially affects cognitive functions, and patients with PD with RBD exhibited poorer cognitive function than was seen in patients with PD with insomnia. [ABSTRACT FROM AUTHOR]

Aims: The aim of the study was to evaluate the glymphatic function and its related factors in patients with Parkinson's disease (PD) and patients with PD of different ages using the diffusion tensor image analysis along the perivascular space (DTI‐ALPS) method. Methods: Medical records and imaging data of 93 patients with idiopathic PD and 42 age‐ and sex‐matched healthy controls (HCs) were retrospectively reviewed and analyzed. The diffusivity along the perivascular spaces, projection fibers, and association fibers were calculated on diffusion tensor imaging (DTI) to acquire the analysis along the perivascular space (ALPS) index. Results: PD patients exhibited a reduced ALPS index compared with the HCs. Negative correlations between the ALPS index and clinical information including age, age at disease onset, Parkinson's disease sleep scale 2nd version (PDSS‐2) scores, and history of diabetes mellitus were revealed in the PD group. Besides, a negative correlation between the ALPS index and the severity of motor symptoms was identified in the subgroup aged 65 and above, rather than in the younger ones. Conclusions: The results demonstrate that reduced ALPS index, a potential noninvasive measure of compromised glymphatic activity, is involved in the pathophysiology of PD, especially in the aged ones and those with sleep disorders. [ABSTRACT FROM AUTHOR]

Objective: To explore the potential clinical effects of renin-angiotensin system blocker (RASB, angiotensin II receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs)) in patients from the Parkinson's Progress Marker Initiative (PPMI) study database.Methods: One hundred and seven untreated, newly diagnosed PD patients with hypertension, from the PPMI were included. We measured cognitive performance, biomarkers in CSF, and magnetic resonance imaging (MRI) during the five follow-up years for patients exposed or not to renal-angiotensin system blockers. Sixteen PD patients with hypertension underwent [18F]florbetaben positron emission tomography (PET) scanning. SUVRs of region of interest (ROI) were calculated and compared within different groups.Result: Treatment with ARBs but not ACEIs improved global cognitive function evaluated by MoCA score in PD patients with hypertension compared to other hypertensive medicines up to 5 years follow up. Specifically, ARBs improved visuospatial, memory, executive abilities, processing speed attention test scores in PD. There was no significant impact of ARBs on α-syn, tau, Aβ in CSF. RASBs reduced [18F] florbetaben uptake in cortex and subcortex nuclei in the brain.Conclusions: These results show potential protective effect with ARBs in cognitive impairment of parkinson's disease with hypertension. [ABSTRACT FROM AUTHOR]

Soot nanoparticles (SNPs) are black carbon prevalent in atmospheric environment with significant impacts on public health, leading to neurodegenerative diseases including development of Parkinson's disease (PD). This study investigated the effects of SNPs exposure on PD symptoms, employing both in vivo and in vitro PD models. In the in vivo experiments, animal behavior assessments showed that SNPs exposure exacerbated motor and cognitive impairments in PD mice. Molecular biology techniques further unveiled that SNPs aggravated degeneration of dopaminergic neurons. In vitro experiments revealed that SNPs exposure intensified ferroptosis of PD cells by increasing reactive oxygen species and iron ion levels, while reducing glutathione levels and mitochondrial membrane potential. Sequencing tests indicated elevated N6-methyladenosine (m6A) alteration of the ferroptosis-related protein, acyl-CoA synthetase long chain family member 4 (ACSL4). This study demonstrates that SNPs may exacerbate the onset and progression of PD by recruiting YTH domain-containing family protein 1 (YTHDF1) protein, enhancing m6A methylation in the ACSL4 5′UTR, amplifying ACSL4 protein expression, and accelerating the ferroptosis process in dopaminergic neurons. These molecular mechanisms underlying SNPs exacerbation of PD development may provide crucial insights for formulating environmental safety regulations and potential therapeutic strategies addressing PD in populations residing in regions with varied air quality. [Display omitted] • SNPs exacerbated development of PD by inducing ferroptosis in dopaminergic neurons. • SNPs induced behavioral abnormality and damage of dopaminergic neurons in PD mice. • m6A was involved in regulating ferroptosis induced by SNPs in dopaminergic neurons. • ACSL4 was key target gene for SNPs-induced ferroptosis via methylation modification. • SNPs upregulated the ACSL4 expression through METTL3/YTHDF1-mediated m6A modulation. [ABSTRACT FROM AUTHOR]

In this study, a novel Fe 3 O 4 -based biochar coupled surface-imprinted polymer was constructed via simple hydrothermal route for salicylic acid recognition and degradation in advanced oxidation processes. The material exhibited excellent adsorption capability, up to 118.23 mg g−1, and efficient degradation performance, 87.44% removal rate within 240 min, based on integrating the advantages of both huge specific surface area as well as abundant functional groups from biochars and specific recognition sites from imprinted cavities. Moreover, high selectivity coefficient (11.67) showed stable recognition in single and binary systems. SO 4 •− and •OH were confirmed as reactive oxygen species in catalytic reaction according to quenching experiments and EPR analysis. The degradation mechanism and pathway were unraveled by DFT calculations and LC-MS. Furthermore, the results of toxicity evaluation, stability and reusability demonstrated application potential in the field of water environment restoration. This study confirmed that molecular imprinting provided a promising solution to targeted removal of emerging environmental pollutants by degrading after the enrichment of pollutants to the composites surface. [Display omitted] • A novel molecularly imprinted polymers coated Fe 3 O 4 -BC was successfully synthesized. • Adsorption-degradation activities and specific recognition of SA by MI-FBC were improved. • MI-FBC exhibited good stability and regenerability with tolerance to wide pH and anions. • The mechanism and pathway of SA removal were proposed based on experiments and DFT calculations. [ABSTRACT FROM AUTHOR]

[Display omitted] • INT-777 alleviated motor deficits and cognitive impairment in a MPTP-induced PD model. • INT-777 inhibited neuronal death and microglia activation in three brain regions. • INT-777 suppressed microglia activation in the hippocampus via TNF signaling. • INT-777 reversed microglial mitochondrial damage through TGR5 to inhibit TNF-α levels. • INT-777 prevented neurodegeneration by inhibiting the release of TNF-α from microglia. Parkinson's disease (PD) is one of the most common chronic progressive neurodegenerative diseases that affects both motor and non-motor functions. Bile acids modulate the immune system by targeting brain receptors. INT-777, a 6α-ethyl-23(S)-methyl derivative of cholic acid (S-EMCA), acts as an agonist for Takeda G protein-coupled receptor-5 (TGR5) and has neuroprotective properties. However, the effects of INT-777 on PD have not yet been investigated. In a subchronic PD model, mice treated with 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) developed motor deficits and cognitive impairment that were ameliorated after intranasal administration of INT-777. INT-777 prevented MPTP-induced neurodegeneration and microglia activation in the substantia nigra pars compacta, hippocampus, and cortical layer V. Based on bioinformatics and wet lab data, INT-777 inhibited microglia activation by suppressing the release of tumor necrosis factor alpha (TNF-α) in the hippocampus, along with secondary chemokines (C–C motif ligand 3 (CCL3) and CCL6) in these three brain regions. INT-777 inhibited TNF-α production by repairing mitochondrial damage, which was associated with nuclear factor-erythroid 2-related factor-2 (NRF2) activation and p62/LC3B-mediated autophagy. INT-777 reversed the downregulation of heme oxygenase-1 (HO1), NAD(P)H quinone oxidoreductase-1 (NQO1) and accumulation of p62 in microglia treated with 1-methyl-4-phenylpyridinium (MPP+). However, TGR5 knockdown in microglia abolished INT-777′s inhibition of TNF-α release, resulting in neuronal death. Therefore, PD cognitive impairment is associated with hippocampal TNF-α elevation as a result of mitochondrial damage in microglia. Our data reveal the potential role of TGR5 in modulating inflammation-mediated neurodegeneration in PD, and provides new insights for bile acid metabolites as promising disease-modifying drugs for PD. [ABSTRACT FROM AUTHOR]

Background: Parkinson's disease (PD) is associated with structural alterations of the retina. However, it remains unknown whether these changes are present in PD with mild cognitive impairment (MCI). The purpose of the study was to evaluate the retinal microvasculature using optical coherence tomography angiography (OCTA) to assess possible retinal microvascular impairments associated with PD and PD with MCI.Methods: This study included 83 eyes of 45 PD patients and 83 eyes of 42 healthy controls. All subjects underwent complete neurological and ophthalmological examinations before measurements. Cognitive function was also measured in PD patients. Retinal microvasculature was evaluated with OCTA. Vessel density in the superficial capillary plexus (SRCP), deep capillary plexus (DRCP), and radial peripapillary capillaries (RPC) and intraretinal layer thickness in the peripapillary retinal nerve fibre layer (RNFL) and ganglion cell complex (GCC) were analysed. Correlations between vessel density and cognitive function were analysed in the PD group.Results: Parafoveal vessel density in the SRCP and DRCP were lower in the eyes of PD patients than healthy controls (P < 0.05). However, there were no significant differences in the RPC (P = 0.120), RNFL (P = 0.303) or GCC (P = 0.375) between PD patients and healthy controls. Lower executive function scores were associated with lower vessel density in the DRCP of PD patients (P < 0.05, 95% CI [0.133,1.342]).Conclusion: OCTA revealed lower macular microvascular density in PD patients and microvascular impairments in the deep retinal capillary layer in PD patients with executive dysfunction. These parameters might have potential utility as early disease diagnostic biomarkers. [ABSTRACT FROM AUTHOR]

This study aims to determine the link between choroid plexus (CP) volume and cognitive decline in patients with early-stage Parkinson's disease (PD) and to test whether pathological proteins in the cerebrospinal fluid (CSF) are involved in the modulation of any detrimental effects from CP volume. Data on 95 early-stage PD patients with 5 years of follow-up were collected from the Parkinson's Progression Marker Initiative cohort. The patients were separated into three groups based on tertiles of baseline CP volume. We then used a linear mixed model for longitudinal analysis and conducted path analysis to investigate mediating effects. At baseline, the patients in both the upper and middle tertile group were older and had lower concentrations of CSF Aβ 1-42 than those in the lowest tertile group. Longitudinal analysis showed that the upper tertile group suffered from a more rapid cognitive decline in the Symbol Digit Modalities test, Hopkins Verbal Learning Test (HVLT)-retention, and HVLT delayed recalled score. Furthermore, path analysis showed that the pathological effects of CP volume on the 5-year decline in memory might be partly mediated by the CSF Aβ 1-42 /αsyn ratio. CP enlargement could be an independent risk factor for decreased cognition in patients with early-stage PD, and this risk may be mediated by CSF pathological proteins. • This study aimed to investigate the relationship of CP volume and PD cognitive progression. • Larger CP volume may suggest a rapid deterioration of memory in early PD. • CSF biomarker ratio of Aβ 1-42 /αsyn may partly mediate pathological effect of CP volume. [ABSTRACT FROM AUTHOR]

Objectives: To analyse the changes of quantitative electroencephalogram (qEEG) and cortex structural magnetic resonance (MR) imaging in Parkinson's disease with mild cognitive impairment (PD-MCI) and to explore the "composite marker"–based machine learning model in identifying PD-MCI. Methods: Retrospective analysis of patients with PD identified 36 PD-MCI and 35 PD with normal cognition (PD-NC). QEEG features of power spectrum and structural MR features of cortex based on surface-based morphometry (SBM) were extracted. Support vector machine (SVM) was established using combined features of structural MR and qEEG to identify PD-MCI. Feature importance evaluation algorithm of mean impact value (MIV) was established to sort the vital characteristics of qEEG and structural MR. Results: Compared with PD-NC, PD-MCI showed a statistically significant difference in 5 leads and waves of qEEG and 7 cortical region features of structural MR. The SVM model based on these qEEG and structural MR features yielded an accuracy of 0.80 in the training set and had a high prediction accuracy of 0.80 in the test set (sensitivity was 0.78, specificity was 0.83, area under the receiver operating characteristic curve was 0.77), which was higher than the model built by the feature separately. QEEG features of theta wave in C3 had a marked impact on the model for classification according to the MIV algorithm. Conclusions: PD-MCI is characterized by widespread structural and EEG abnormality. "Composite markers" could be valuable for the individualized diagnosis of PD-MCI by machine learning. Key Points: • Explore the brain abnormalities in Parkinson's disease with mild cognitive impairment by using the quantitative electroencephalogram and cortex structural MR simultaneously. • Multimodal features based support vector machine for identifying Parkinson's disease with mild cognitive impairment has an acceptable performance. • Theta wave in C3 is the most influential feature of qEEG and cortex structure MR imaging in identifying Parkinson's disease with mild cognitive impairment using support vector machine. [ABSTRACT FROM AUTHOR]

The Chinese GF-1 satellite, the first satellite of the China High-resolution Earth Observation System launched in 2013, can be used to help estimate evapotranspiration (LE), which is important for myriad hydroclimatic and ecosystem science and applications. We propose a novel approach to use the GF-1 visible and near-infrared (VNIR) measurements at 16 m and 4-day resolutions to estimate LE. The NIR (near-infrared)–red spectral-domain (NRSD) model is coupled to a perpendicular soil moisture index (PSI) and a perpendicular vegetation index (PVI). We applied the model to the Huailai agricultural region of China with 55 scenes of GF-1 imagery during 2013–2017 and validated using ground measurements with footprint models for two eddy-covariance (EC) flux tower sites and one large aperture scintillometer (LAS) site. The results illustrate that the terrestrial daily LE can be estimated with squared correlation coefficients (R2) of 0.77–0.84 (p < 0.01) and root-mean-square error (RMSE) values of 17.9–21.5 W/m2 among all three sites. The site-calibrated statistics are improved by 0.14–0.25 for R2 and decreased by 4.2–8.3 W/m2 for RMSE as compared to the commonly used universal PT-JPL model. A satisfactory performance is achieved across all experimental conditions, encouraging the application of the NRSD model to estimate LE for other broad regions. [ABSTRACT FROM AUTHOR]

Surface all-wave net radiation (Rn) is a crucial variable driving many terrestrial latent heat (LE) models that estimate global LE. However, the differences between different Rn products and their impact on global LE estimates still remain unclear. In this study, we evaluated two Rn products, Global LAnd Surface Satellite (GLASS) beta version Rn and Modern-Era Retrospective Analysis for Research and Applications-version 2 (MERRA-2) Rn, from 2007–2017 using ground-measured data from 240 globally distributed in-situ radiation measurements provided by FLUXNET projects. The GLASS Rn product had higher accuracy (R2 increased by 0.04–0.26, and RMSE decreased by 2–13.3 W/m2) than the MERRA-2 Rn product for all land cover types on a daily scale, and the two Rn products differed greatly in spatial distribution and variations. We then determined the resulting discrepancies in simulated annual global LE using a simple averaging model by merging five diagnostic LE models: RS-PM model, SW model, PT-JPL model, MS-PT model, and SIM model. The validation results showed that the estimated LE from the GLASS Rn had higher accuracy (R2 increased by 0.04–0.14, and RMSE decreased by 3–8.4 W/m2) than that from the MERRA-2 Rn for different land cover types at daily scale. Importantly, the mean annual global terrestrial LE from GLASS Rn was 2.1% lower than that from the MERRA-2 Rn. Our study showed that large differences in satellite and reanalysis Rn products could lead to substantial uncertainties in estimating global terrestrial LE. [ABSTRACT FROM AUTHOR]

• Modified magnetic biochar showed enhanced TC adsorption capacity reaching to 98.33 mg/g. • Adsorption occurs mainly by hydrogen bonding and pore-filling effect. • A stable TC removal rate of 69% was maintained after five cycles. • Nitrate nitrogen and phosphorus removal reach to 75.23 mg/g and 83.33 mg/g, respectively. Rice straw derived biochar shows low-cost superiority as a potential adsorbent in tetracycline (TC) removal, but limited by its poor adsorption capacity and N, P leaking risk. Herein, an alkali-acid combined and magnetization method was proposed for its modification. The sorption kinetic and isotherm data showed modification enhanced the performance for tetracycline removal with adsorption capacity up to 98.33 mg·g−1. The strong adsorption mechanisms were dominated by hydrogen bonding and pore-filling effect due to the increase of specific surface area and pore volume. Furthermore, the effect of pH was insignificant over a pH range from 3 to 10. The strong competition between ionic and TC was identified, where Ca2+ and PO 4 3− markedly inhibited the sorption. The enhanced TC adsorption, strong N and P removal, easy magnetic recovery, and good reusability in water samples entrusted it with good potential for wastewater treatment and rice straw resource disposal. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate the feasibility and safety of endovascular recanalization for symptomatic subacute and chronic internal carotid artery occlusion (ICAO); to propose a newly modified radiographic classification of ICAO that can rigorously identify suitable candidates for endovascular ICAO treatment. Methods: We included 42 consecutive patients who had ICAO with ischaemic symptoms refractory to medical therapy. We examined the symptomatology, complications, follow-up results and radiographic images of ICAO receiving attempted endovascular treatment. We attempted to stratify all radiographic images into categories based on morphological occlusion patterns, occlusion segments and distal ICA reconstitution on digital subtraction angiography (DSA). Results: Four types (A–D) of radiographic ICAO were identified. We redefined type B as having a tapered stump but no distal lumen. The rate of successful recanalization was 83.33% (35/42 ICAOs; type A, 18/20; type B, 7/10; type C, 10/11; type D, 0/1). The perioperative complication rate was 11.90% (5/42), including 3 asymptomatic distal embolisms, 1 symptomatic cerebral infarction and 1 asymptomatic carotid artery dissection. None of these technique-related complications led to severe neurological damage or death. Modified Rankin Scale (mRS) scores after 1–20 months of follow-up were significantly decreased in successfully revascularized patients (P < 0.001). There was no significant change in mRS scores in the 7 patients in whom recanalization failed (P > 0.05). Conclusions: Endovascular recanalization seems to achieve technical success and clinical improvement for symptomatic subacute and chronic ICAO. Additionally, our newly modified radiographic classification of ICAO may be valuable in assessing the technical feasibility and safety of procedures in symptomatic ICAO patients. [ABSTRACT FROM AUTHOR]

Parkinson's disease (PD) is the second most common neurodegenerative disease, and mild cognitive impairment (MCI) is a well-established risk factor for the development of dementia in PD. A growing body of evidence suggests that low expression of glucocerebrosidase (GBA) promotes the transmission of α-synuclein (α-Syn) interpolymers and the progression of PD. However, how GBA mutations affect the pathogenesis of PD via abnormal aggregation of α-Syn is unclear, and no clinically valid PD-MCI genetic markers have been identified. Here, we first located a GBA eQTL, rs12411216, by analysing DHS, eQTL SNP, and transcription factor binding site data using the UCSC database. Subsequently, we found that rs12411216 was significantly associated with PD-MCI (P < 0.05) in 306 PD patients by genotyping. In exploring the relationship between rs12411216 and GBA expression, the SNP was found to be associated with GBA expression in 50 PD patients through qPCR verification. In a further CRISPR/Cas9-mediated genome editing module, the SNP was identified to cause a decrease in GBA expression, weaken enzymatic activity and enhance the abnormal aggregation of α-Syn in SH-SY5Y cells. Additionally, using an electrophoretic mobility shift assay, we confirmed that the binding efficiency of transcription factor E2F4 was affected by the rs12411216 SNP. In conclusion, our results showed that rs12411216 regulated GBA expression, supporting its potential role as a PD-MCI genetic biomarker and highlighting novel mechanisms underlying Parkinson's disease. [ABSTRACT FROM AUTHOR]

Introduction: Previous studies have found that white matter (WM) alterations might be correlated in Parkinson's disease (PD) patients with cognitive impairment. This study aimed to investigate WM structural network connectome alterations in PD patients with mild cognitive impairment (PD-MCI) and assess the relationship between cognitive impairment and structural topological network changes in PD patients. Methods: All 31 healthy controls (HCs) and 71 PD patients (43 PD-NC and 28 PD-MCI) matched for age, sex and education underwent 3.0 T MRI and diffusion tensor imaging (DTI) scan. Graph theoretical analyses and network-based statistical (NBS) analyses were performed to identify the structural WM networks and subnetwork changes in PD-MCI. Results: PD-MCI patients showed significantly decreased global efficiency (Eglob) and increased shortest path length (Lp) compared with the HC group. Several nodal efficiencies showed significant differences in multiple brain regions among the three groups. The nodal efficiency of the orbitofrontal part was closely related to the overall cognitive ability and multiple sub-cognitive domains. Moreover, NBS analyses identified eight one-connect subnetworks, three two-connect subnetworks and two multi-connect subnetworks with reduced connectivity that characterizes the WM structural organization in PD-MCI patients. The two multi-connect subnetworks were located on the bilateral lobe, and both were centered on the orbitofrontal part. Conclusions: This study provided new evidence that PD with cognitive dysfunction is associated with WM structural alterations. The nodal efficiency and sub-network analyses focusing on the orbitofrontal part might provide new ideas to explore the physiological mechanism of PD-MCI. [ABSTRACT FROM AUTHOR]

Background: Idiopathic rapid eye movement sleep behavior disorder (iRBD) is an important risk factor for α-synucleinopathy. Objective: We investigated alterations in the cerebral blood flow (CBF) based on arterial spin-labeled (ASL) imaging in patients with iRBD to determine brain perfusion changes associated with the disorder. Methods: Fifteen patients with iRBD and twenty age–gender-matched healthy controls were enrolled. Cortical perfusions were compared between the two groups after the ASL data was co-registered to the high-resolution T1-weighted images. Results: No significant differences were detected between the groups in regard to age, gender, education, or UPDRS-III score. The iRBD group showed a lower MMSE score than the healthy controls (27.07 ± 2.25 vs. 28.55 ± 1.23, p < 0.05). Compared with the healthy controls, the iRBD group showed significantly decreased CBF values in the right inferior frontal gyrus, right middle frontal gyrus, and right insula (p < 0.05 corrected). Conclusion: The cortical hypoperfusion areas in patients with iRBD were similar to the patterns in patients with α -synucleinopathies. ASL perfusion MRI is a potential approach to find biomarkers in preclinical stages of α -synucleinopathies. [ABSTRACT FROM AUTHOR]

Purpose: Computed tomography (CT) perfusion (CTP) source images contain both brain perfusion and cerebrovascular information, and may allow a dynamic assessment of collaterals. The purpose of the study was to compare the image quality and the collaterals identified on multiphase CT angiography (CTA) derived from CTP datasets (hereafter called CTPA) reconstructed with iterative model reconstruction (IMR) algorithm in patients with middle cerebral artery (MCA) steno-occlusion with those of routine CTA. Methods: Consecutive patients with a unilateral MCA steno-occlusion underwent non-contrast CT (NCCT), CTP, and CTA. CTPA images were reconstructed from CTP datasets. The vascular attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of routine CTA and CTPA were measured and analyzed by Student's t test. Subjective image quality and collaterals were scored and compared using the Wilcoxon signed-rank test. Results: Fifty-eight patients (mean age 61.7 years, 78% males, median National Institutes of Health Stroke Scale score = 12) were included. The effective radiation dose of CTP was 1.28 mSv. The vascular attenuation, SNR, CNR, and the image quality of CTPA were considerably higher than that of CTA (all, p < 0.001). Collaterals were rated higher on CTPA compared with CTA (1.79 ± 0.64 vs. 1.22 ± 0.84, p < 0.001). Fifty-three percent of patients with poor collaterals assessed on single-phase CTA had good collaterals on CTPA. Conclusion: CTPA derived from CTP datasets reconstructed with IMR algorithm offers image quality comparable to routine CTA and provides time-resolved evaluation of collaterals in patients with MCA ischemic disease. [ABSTRACT FROM AUTHOR]

• This study verified two motor progression patterns of Parkinson's disease (PD). • A user-friendly nomogram model for predicting different trajectories was built. • The ALPS-index was found to be an independent variable in prediction model. Substantial heterogeneity of motor symptoms in Parkinson's disease (PD) poses a challenge to disease prediction. The aim of this study was to construct a nomogram model that can distinguish different longitudinal trajectories of motor symptom changes in early-stage PD patients. Data on 90 patients with 5-years of follow-up were collected from the Parkinson's Progression Marker Initiative (PPMI) cohort. We used a latent class mixed modeling (LCMM) to identify distinct progression patterns of motor symptoms, and backward stepwise logistic regression with baseline information was conducted to identify the potential predictors for motor trajectory and to develop a nomogram. The performance of the nomogram model was then evaluated using the optimism-corrected C-index for internal validation, the area under the curve (AUC) of the receiver operating characteristic (ROC) curve for discrimination, the calibration curve for predictive accuracy, and decision curve analysis (DCA) for its clinical value. We identified two trajectories for motor progression patterns. The first, Class 1 (Motor deteriorated group), was characterized by sustained, continuously worsening motor symptoms, and the second, Class 2 (Motor stable group), had stable motor symptoms throughout the follow-up period. The best combination of 7 baseline variables was identified and assembled into the nomogram: Scopa-AUT [odds ratio (OR), 1.11; p = 0.091], Letter number sequencing (LNS) (OR, 0.76; p = 0.068), the asymmetry index of putamen (OR, 0.95; p = 0.034), mean caudate uptake (OR, 0.14; p = 0.086), CSF pTau/α-synuclein (OR, 0.00; p = 0.011), CSF tTau/Aβ (OR, 25434806; p = 0.025), and the index for diffusion tensor image analysis along the perivascular space (ALPS-index) (OR, 0.02; p = 0.030). The nomogram achieved good discrimination, with an original AUC of 0.901 (95% CI, 0.813–0.989), and the bias-corrected concordance index (C-index) with 1,000 bootstraps was 0.834. The calibration curve and DCA also suggested both the high accuracy and clinical usefulness of the nomogram, respectively. This study proposes an effective nomogram to predict different motor progression patterns in early-stage PD. Furthermore, the imaging biomarker indicating glymphatic function could be an independent predictive factor for PD motor progression. [ABSTRACT FROM AUTHOR]

Background: Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine. Chronic inflammation induced by amyloid β proteins (Aβ) is one prominent neuropathological feature in Alzheimer's disease (AD) brain. Methods: Elisa, Western blot, and immunohistochemical staining analysis were performed to examine the level of MIF protein in CSF and brain tissues. MTT and LDH assays were used to examine the neurotoxicity, and the Morris Water Maze test was performed to examine the cognitive function in the MIF+/−/APP23 transgenic mice. Results: MIF expression was upregulated in the brain of AD patients and AD model mice. Elevated MIF concentration was detected in the cerebrospinal fluid of AD patients but not in that of the patients suffering from mild cognitive impairment and vascular dementia. Reduced MIF expression impaired learning and memory in the AD model mice. MIF expression largely associates with Aβ deposits and microglia. The binding assay revealed a direct association between MIF and Aβ oligomers. Neurons instead of glial cells were responsible for the secretion of MIF upon stimulation by Aβ oligomers. In addition, overexpression of MIF significantly protected neuronal cells from Aβ-induced cytotoxicity. Conclusion: Our study suggests that neuronal secretion of MIF may serve as a defense mechanism to compensate for declined cognitive function in AD, and increased MIF level could be a potential AD biomarker. [ABSTRACT FROM AUTHOR]

Objective: It was recently found that structural changes in the substantia nigra (SN) and motor symptoms become more prominent in Parkinson's disease (PD) patients with striatal silent lacunar infarction (SSLI) than in those without SSLI. Hyperhomocysteinemia (HHCY) was an independent risk factor for SSLI in PD patients. In this follow-up study, we investigated the relationship between HHCY and structural changes of the SN in PD patients.Methods: A total of 72 untreated early PD patients without SSLI, divided into control and HHCY groups, were enrolled in this study. All participants underwent conventional MRI and diffusion kurtosis imaging (DKI) twice; at baseline and at the 2-year visit. The differences of the following variables between the two groups were analyzed: mean kurtosis (MK) values of the SN, the severity of disease, daily dosage of levodopa, and the variation of these indexes from baseline to 2-year visit. Logistic regression analysis was used to identify the relationship between HHCY and structural changes of the SN in PD patients.Results: 1.All variables mentioned above showed significant differences between the two groups. 2. The variation in MK values of the SN were positively correlated with the variation in the severity of disease. 3. HHCY was an independent risk factor for the variation in MK values of the SN in PD patients.Conclusion: HHCY is associated with the structural changes of the SN in PD patients. As PD progresses, motor symptoms become aggravated with increased structural changes to the SN, especially in patients with HHCY. [ABSTRACT FROM AUTHOR]

Neuroinflammation and overactivated microglia underlies the pathogenesis of Parkinson's disease (PD). Furthermore, microglia could polarize into classic inflammatory M1 and immunosuppressive M2 phenotype. Thus, inhibiting the overactivated inflammatory M1 microglia by promoting the transformation of microglia to the protective M2 phenotype provides potential therapy for PD, but the mechanism that modulates microglia polarization remains unknown. Triggering receptor expressed on myeloid cells-2 (TREM2) is a recently identified immune receptor expressed by the microglia in the brain. Emerging evidence indicates that TREM2 enhances the phagocytosis function of microglia and suppress inflammation. Based on these evidence, we hypothesized that TREM2 might play a protective role through regulating microglia polarization. Here, we employ a lentiviral strategy to overexpress or suppress TREM2 on microglia and found that TREM2 was essential for M2 microglia polarization. Knockdown of TREM2 in BV2 microglia inhibited M2 polarization and lead to exaggeration of M1 microglial inflammatory responses, whereas overexpression of TREM2 promoted M2 polarization and alleviated microglial inflammation. We also observed that the TREM2 level was higher in the midbrain of PD mice, which was accompanied by an elevated level of Arginase-1 and increased proinflammatory cytokines, suggesting that TREM2 is an important factor in switching the microglia phenotypes. Taken together, these findings indicate that TREM2 plays a crucial role in altering the proinflammatory M1 microglia to M2 phenotype and has beneficial effects in the immune pathogenesis of PD. [ABSTRACT FROM AUTHOR]

Background Semantic abstract reasoning(SAR) is an important executive domain that is involved in semantic information processing and enables one to make sense of the attributes of objects, facts and concepts in the world. We sought to investigate whether Parkinson's disease subjects(PDs) have difficulty in SAR and to examine the associated pattern of gray matter morphological changes. Methods Eighty-six PDs and 30 healthy controls were enrolled. PDs were grouped into PD subjects with Similarities preservation(PDSP, n = 62) and PD subjects with Similarities impairment(PDSI, n = 24)according to their performance on the Similarities subtest of the Wechsler Adult Intelligence Scale. Brain structural images were captured with a 3T MRI scanner. Surface-based investigation of cortical thickness and automated segmentation of deep gray matter were conducted using FreeSurfer software. Results PDs performed notably worse on the Similarities test than controls( F  = 13.56, P <  0.001).In the PDSI group, cortical thinning associated with Similarities scores was found in the left superior frontal, left superior parietal and left rostral middle frontal regions. Notable atrophy of the bilateral hippocampi was observed, but only the right hippocampus volume was positively correlated with the Similarities scores of the PDSI group. Discussion PDs have difficulty in SAR, and this limitation may be associated with impaired conceptual abstraction and generalization along with semantic memory deficits. Cortical thinning in the left frontal and parietal regions and atrophy in the right hippocampus may explain these impairments among Chinese PDs. [ABSTRACT FROM AUTHOR]

Introduction Freezing of gait (FOG) is a serious complication in patients with Parkinson's disease (PD), and is more common in the late state of the disease. The high risk of falling in patients with FOG impacts their quality of life. Objective To explore altered neuroactivity related to cognitive and executive function of PD patients with FOG. Methods Fourteen PD patients with FOG (FOG +), 20 PD patients without FOG (FOG −), and 18 normal controls (NC) were enrolled. Functional MRI data of all PD patients were collected during OFF medication state. Data were analyzed using software of DPARSF and REST. Resting brain activity was measured by regional homogeneity (ReHo). ANOVA test was performed for ReHo among FOG, PD, and NC groups. Results ReHo alterations of left supplementary motor area (SMA) (Brodmann 6), left superior frontal region (Brodmann 9), and the right putamen (Brodmann 48) were significantly different among the three groups. The ReHo values within left SMA (Brodmann 6) and left superior frontal region (Brodmann 9) were significantly decreased in FOG + patients compared with FOG − patients. Conclusion Changes in neural hypoactivity within the frontal region and SMA appear to be associated with FOG in PD patients, which suggests that the mechanism underlying FOG may relate to disruption of execution and cognition. [ABSTRACT FROM AUTHOR]

Evapotranspiration ( ET) plays an important role in exchange of water budget and carbon cycles over the Inner Mongolia autonomous region of China (IMARC). However, the spatial and decadal variations in terrestrial ET and drought over the IMARC in the past was calculated by only using sparse meteorological point-based data which remain quite uncertain. In this study, by combining satellite and meteorology datasets, a satellite-based semi-empirical Penman ET (SEMI-PM) algorithm is used to estimate regional ET and evaporative wet index (EWI) calculated by the ratio of ET and potential ET ( PET) over the IMARC. Validation result shows that the square of the correlation coefficients $$(R^{2})$$ for the four sites varies from 0.45 to 0.84 and the root-mean-square error (RMSE) is $$0.78$$ mm. We found that the ET has decreased on an average of 4.8 mm per decade ( $$p=0.10$$ ) over the entire IMARC during 1982-2009 and the EWI has decreased on an average of 1.1% per decade ( $$p=0.08$$ ) during the study period. Importantly, the patterns of monthly EWI anomalies have a good spatial and temporal correlation with the Palmer Drought Severity Index (PDSI) anomalies from 1982 to 2009, indicating EWI can be used to monitor regional surface drought with high spatial resolution. In high-latitude ecosystems of northeast region of the IMARC, both air temperature $$(T_{a})$$ and incident solar radiation $$(R_{s})$$ are the most important parameters in determining ET. However, in semiarid and arid areas of the central and southwest regions of the IMARC, both relative humidity (RH) and normalized difference vegetation index (NDVI) are the most important factors controlling annual variation of ET. [ABSTRACT FROM AUTHOR]

Evapotranspiration ( ET) plays an important role in exchange of water budget and carbon cycles over the Inner Mongolia autonomous region of China (IMARC). However, the spatial and decadal variations in terrestrial ET and drought over the IMARC in the past was calculated by only using sparse meteorological point-based data which remain quite uncertain. In this study, by combining satellite and meteorology datasets, a satellite-based semi-empirical Penman ET (SEMI-PM) algorithm is used to estimate regional ET and evaporative wet index (EWI) calculated by the ratio of ET and potential ET ( PET) over the IMARC. Validation result shows that the square of the correlation coefficients $$(R^{2})$$ for the four sites varies from 0.45 to 0.84 and the root-mean-square error (RMSE) is $$0.78$$ mm. We found that the ET has decreased on an average of 4.8 mm per decade ( $$p=0.10$$ ) over the entire IMARC during 1982-2009 and the EWI has decreased on an average of 1.1% per decade ( $$p=0.08$$ ) during the study period. Importantly, the patterns of monthly EWI anomalies have a good spatial and temporal correlation with the Palmer Drought Severity Index (PDSI) anomalies from 1982 to 2009, indicating EWI can be used to monitor regional surface drought with high spatial resolution. In high-latitude ecosystems of northeast region of the IMARC, both air temperature $$(T_{a})$$ and incident solar radiation $$(R_{s})$$ are the most important parameters in determining ET. However, in semiarid and arid areas of the central and southwest regions of the IMARC, both relative humidity (RH) and normalized difference vegetation index (NDVI) are the most important factors controlling annual variation of ET. [ABSTRACT FROM AUTHOR]