Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning.

BACKGROUND: Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target. Although there are a few online platforms based on deep learning for drug-target interaction, affinity, and binding sites identification, there is currently no integrated online platforms for all three aspects. RESULTS: Our solution, the novel integrated online platform Drug-Online, has been developed to facilitate drug screening, target identification, and understanding the functions of target in a progressive manner of "interaction-affinity-binding sites". Drug-Online platform consists of three parts: the first part uses the drug-target interaction identification method MGraphDTA, based on graph neural networks (GNN) and convolutional neural networks (CNN), to identify whether there is a drug-target interaction. If an interaction is identified, the second part employs the drug-target affinity identification method MMDTA, also based on GNN and CNN, to calculate the strength of drug-target interaction, i.e., affinity. Finally, the third part identifies drug-target binding sites, i.e., pockets. The method pt-lm-gnn used in this part is also based on GNN. CONCLUSIONS: Drug-Online is a reliable online platform that integrates drug-target interaction, affinity, and binding sites identification. It is freely available via the Internet at http://39.106.7.26:8000/Drug-Online/ .

GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs.

Most proteins exert their functions by interacting with other proteins, making the identification of protein-protein interactions (PPI) crucial for understanding biological activities, pathological mechanisms, and clinical therapies. Developing effective and reliable computational methods for predicting PPI can significantly reduce the time-consuming and labor-intensive associated traditional biological experiments. However, accurately identifying the specific categories of protein-protein interactions and improving the prediction accuracy of the computational methods remain dual challenges. To tackle these challenges, we proposed a novel graph neural network method called GNNGL-PPI for multi-category prediction of PPI based on global graphs and local subgraphs. GNNGL-PPI consisted of two main components: using Graph Isomorphism Network (GIN) to extract global graph features from PPI network graph, and employing GIN As Kernel (GIN-AK) to extract local subgraph features from the subgraphs of protein vertices. Additionally, considering the imbalanced distribution of samples in each category within the benchmark datasets, we introduced an Asymmetric Loss (ASL) function to further enhance the predictive performance of the method. Through evaluations on six benchmark test sets formed by three different dataset partitioning algorithms (Random, BFS, DFS), GNNGL-PPI outperformed the state-of-the-art multi-category prediction methods of PPI, as measured by the comprehensive performance evaluation metric F1-measure. Furthermore, interpretability analysis confirmed the effectiveness of GNNGL-PPI as a reliable multi-category prediction method for predicting protein-protein interactions.

Recent Advances on Selenium Nutrition and Keshan Disease.

Keshan disease (KD) is a type of endemic cardiomyopathy with an unknown cause. It is primarily found in areas in China with low selenium levels, from northeast to southwest. The nutritional biogeochemical etiology hypothesis suggests that selenium deficiency is a major factor in KD development. Selenium is important in removing free radicals and protecting cells and tissues from peroxide-induced damage. Thus, low environmental selenium may affect the selenium level within the human body, and selenium level differences are commonly observed between healthy people in KD and nonKD areas. From the 1970s to the 1990s, China successfully reduced KD incidence in endemic KD areas through a selenium supplementation program. After years of implementing prevention and control measures, the selenium level of the population in the KD areas has gradually increased, and the prevalence of KD in China has remained low and stable in recent years. Currently, the pathogenesis of KD remains vague, and the effect of selenium supplementation on the prognosis of KD still needs further study. This paper comprehensively reviews selenium deficiency and its connection to KD. Thus, this study aims to offer novel ideas and directions to effectively prevent and treat KD in light of the current situation.

[Acute heart failure in a neonate]. / æ–°ç”Ÿå„¿æ€¥æ€§å¿ƒåŠŸèƒ½ä¸å ¨1例.

The male patient, one day old, was admitted to the hospital due to hypoglycemia accompanied by apnea appearing six hours after birth. The patient had transient hypoglycemia early after birth, and acute heart failure suddenly occurred on the eighth day after birth. Laboratory tests showed significantly reduced levels of adrenocorticotropic hormone and cortisol, and pituitary magnetic resonance imaging was normal. Genetic testing results showed that the patient had probably pathogenic compound heterozygous mutations of the TBX19 gene (c.917-2A>G+c.608C>T), inherited respectively from the parents. The patient was conclusively diagnosed with congenital isolated adrenocorticotropic hormone deficiency caused by mutation of the TBX19 gene. Upon initiating hydrocortisone replacement therapy, cardiac function rapidly returned to normal. After being discharged, the patient continued with the hydrocortisone replacement therapy. By the 18-month follow-up, the patient was growing and developing well. In neonates, unexplained acute heart failure requires caution for possible endocrine hereditary metabolic diseases, and timely cortisol testing and genetic testing should be conducted.

[Peripherally inserted central venous catheter-related thrombosis in a neonate]. / æ–°ç”Ÿå„¿ç»å¤–å‘¨é™è„‰ç©¿åˆºçš„ä¸­å¿ƒé™è„‰å¯¼ç®¡ç›¸å ³è¡€æ “1例.

The female infant in this case study was admitted to the hospital 4 hours after birth due to preterm birth and respiratory distress. On the third day after birth, peripherally inserted central venous catheter (PICC) catheterization was performed. On day 42, thrombus was found at the entrance of the right atrium from the inferior vena cava during a cardiac ultrasound, and it was considered to be related to PICC placement. Low-molecular-weight heparin and urokinase were given. After two weeks of treatment, ultrasonic monitoring showed thrombus shrinkage. No bleeding or pulmonary embolism occurred during the treatment. The patient discharged after improvement. This article mainly introduces a multidisciplinary team approach to diagnosis and treatment of PICC-related thrombosis in neonates.

Prevalence/potential risk factors for motoric cognitive risk and its relationship to falls in elderly Chinese people: a cross-sectional study.

BACKGROUND AND PURPOSE: Motoric cognitive risk syndrome (MCR) is characterized by slow walking speed and subjective memory complaints (SMCs). This study investigated the prevalence and potential risk factors of MCR and its association with falls in Chinese community-dwelling older adults. METHODS: The analysis was based on data from the Rugao Longevity and Aging Study (RuLAS). MCR was defined as the presence of both SMCs and slow walking speed in participants free of major neurocognitive disorders. SMCs were determined according to a positive answer to the question 'Do you feel you have more problems with memory than most?' in the 15-item Geriatric Depression Scale. Slow walking speed was defined as one standard deviation or more below the mean value for patients' age and sex. Data on falls were derived from a standardized questionnaire. RESULTS: The prevalence of SMCs, slow walking speed and MCR in the RuLAS cohort (N = 1592) was 51.9%, 15.6% and 8.3%, respectively. After adjusting for other covariates, an occupation of farming (odds ratio [OR] 2.358, 95% confidence interval [CI] 1.007-5.521, p = 0.048), history of cerebrovascular disease (OR 2.215, 95% CI 1.032-4.752, p = 0.041) and hospitalization (OR 2.008, 95% CI 1.120-3.602, p = 0.019) were risk factors for MCR. Binary logistic regression analysis indicated that the risk of falls was increased by MCR (OR 1.547, 95% CI 1.009-2.371), SMC (OR 1.308, 95% CI 1.003-1.707) and slow walking speed (OR 1.442, 95% CI 1.030-2.017). CONCLUSIONS: Early identification of potential risk factors of MCR can prevent the occurrence of adverse health events such as falls in the elderly.

New clinical characteristics and risk factors of hand knob infarction.

Hand knob infarction (HKI) is a rare clinical condition which is often misdiagnosed as peripheral neuropathy. This study aimed to identify the clinical characteristics and risk factors of HKI. Nine HKI patients admitted between January 2013 and March 2016 were confirmed by magnetic resonance imaging. Their medical records were collected and analyzed. The modified Rankin Scale was used to assess clinical outcomes. Routine laboratory tests, electrocardiogram, echocardiography, cranial magnetic resonance imaging, magnetic resonance angiography, computed tomography angiography, and Doppler ultrasonography examinations were performed. Seven patients had uniform involvement of all digits. One patient with radial weakness had a lesion in the lateral area of hand knob, and another patient with ulnar weakness had a lesion distributed in the medial area of hand knob. Hyperhomocysteinemia was a most common risk factor for HKI. Most HKI patients had a benign disease course, but three patients (33.33%) with the stroke type of large artery atherosclerosis had disease recurrence. We characterized clinical characteristics and risk factors of HKI which will help the diagnosis and management of HKI.

miR-346 promotes migration and invasion of nasopharyngeal carcinoma cells via targeting BRMS1.

The aim of this study is to determine the expression and roles of miR-346 in nasopharyngeal carcinoma (NPC). We showed that miR-346 was upregulated in NPC tissues compared with adjacent non-tumorous nasopharyngeal tissues. Inhibition of miR-346 significantly attenuated the migration and invasion of NPC cells. Luciferase reporter assay showed that miR-346 targeted the 3'-untranslated region (3'-UTR) of breast cancer metastasis suppressor 1 (BRMS1). Overexpression of miR-346 suppressed the endogenous expression of BRMS1 in NPC cells. There was a significant negative correlation between miR-346 and BRMS1 protein expression in NPC tissues (r = -0.372, P = 0.008). Rescue experiments demonstrated that overexpression of BRMS1 lacking the 3'-UTR impaired the invasiveness of NPC cells transfected with miR-346 mimic. Taken together, miR-346 shows the ability to promote the migration and invasion of nasopharyngeal cancer cells via targeting BRMS1 and represents a potential therapeutic target for NPC.

Role of Three-Dimensional Speckle Tracking Echocardiography in the Quantification of Myocardial Iron Overload in Patients with Beta-Thalassemia Major.

BACKGROUND: The new three-dimensional speckle tracking echocardiography (3DSTE) may enable comprehensive quantification of global left ventricular (LV) myocardial mechanics. METHODS: Twenty-four patients aged 29.3 ± 5.2 years and 22 controls were studied. 3DSTE was performed to assess LV 3D global strain, twist and torsion, ejection fraction, and systolic dyssynchrony index (SDI). The LV SDI was calculated as % of SD of times-to-peak strain of 16 segments/RR interval. The global performance index (GPI) was calculated as (global 3D strain·torsion)/SDI. Area under the receiver operating characteristic curve (AUC) was calculated to determine the capability of 3DSTE parameters to discriminate between patients with (cardiac magnetic resonance T2* <20 ms) and those without myocardial iron overload. RESULTS: Compared with controls, patients had significantly lower LV global 3D strain (P < 0.001), twist (P = 0.01), torsion (P = 0.04), and ejection fraction (P < 0.001) and greater SDI (P < 0.001). The GPI was lower in patients than controls (P < 0.001). T2* value correlated positively with global 3D strain (r = 0.74, P < 0.001) and GPI (r = 0.63, P = 0.001), and negatively with SDI (r = -0.44, P = 0.03). The AUCs of GPI, global 3D strain, ejection fraction, torsion, and 1/SDI were 0.94, 0.90, 0.87, 0.82, and 0.70, respectively. The GPI cutoff of 2.7°/cm had a sensitivity of 94.9% and a specificity of 88.9% of differentiating patients with from those without myocardial iron overload. CONCLUSIONS: The LV composite index of strain, torsion, and dyssynchrony derived from 3DSTE enables sensitive detection of myocardial iron overload in patients with thalassemia.

[Excitation-Emission Matrix Fluorescence Spectra Characteristics of DOM in Integrated Verical Flow Constructed Wetland for Treating Eutrophic Water].

Three-dimensional fluorescence parameters can reflect classification, properties and content change of pollutants in wastewater treatment. In the present paper, by using three-dimensional fluorescence characteristic analysis, comparative analysis of conventional organic pollutants such as COD, TN and TP, and three dimensional fluorescence spectrum analysis, the classification and content of dissolved organic pollutants were identified. We studied fluorescence spectra, fluorescence peak (R. U.), fluorescence index (FI), humification index (HIX) of DOM's four components in the entrance and effluent water and interstitial water, as well as the correlation between these four components and COD, TN and TP. The results showed that the position and intensity of the characteristic fluorescence peak center changed significantly before and after sewage treatment, indicating that the relative composition and content of the organic wastewater varied with wastewater treatment. Furthermore, the test results presented that humic-like composition was not degraded significantly, while protein-like composition was degraded significantly. And the protein-like component and COD, TN and TP presented significant positive correlation. This paper analyzed the fluorescence characteristics changes of dissolved organic matter in sewage treatment by using three-dimensional fluorescence spectrometry, and discussed the feasibility of three-dimensional fluorescence technique applied for description of dissolved organic pollutant degradation rule in the wastewater treatment process.

Clinical and molecular features of 38 children with chronic granulomatous disease in mainland china.

PURPOSE: Chronic granulomatous disease (CGD) is an inherited disorder, with phagocytes failing to produce antimicrobial superoxide due to deficient NADPH oxidase activity. Mutations in the gene encoding CYBB are responsible for the majority of the CGD cases. To date, there have been no reports on large samples of children with CGD in China. Therefore, in this study, we described the clinical and molecular features of 38 suspected CGD patients from 36 unrelated Chinese families. METHODS: Clinical diagnosis was performed using dihydrorhodamine assays detected by flow cytometry. Molecular analysis was used to identify underlying CGD-causative genes. RESULTS: The mean age of onset in our 38 patients was 3.4 months, while the mean age at diagnosis was 31.7 months. Apart from recurrent pneumonia and abscesses, tuberculosis (TB) and Bacille Calmette-Guerin (BCG) infections were notable features in our cohort. Overall, 17 cases died and patient 1 did not participate in the follow-up period . In total, we identified 29 different CYBB gene mutations in 31 patients. We found NCF1 and CYBA mutations in 3 and 2 patients, respectively. In addition, we identified 31 carriers and prenatally diagnosed 4 CGD and 4 healthy fetuses. CONCLUSIONS: The results of our study demonstrate that children with BCG infections or recurrent TB infections should have immune function screening tests performed. Moreover, newborns with family histories of primary immunodeficiency diseases should avoid of BCG vaccination. Molecular analysis is an important tool for identifying patients, carriers, and high-risk CGD fetuses.

A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning.

Accurate calculation of drug-target affinity (DTA) is crucial for various applications in the pharmaceutical industry, including drug screening, design, and repurposing. However, traditional machine learning methods for calculating DTA often lack accuracy, posing a significant challenge in accurately predicting DTA. Fortunately, deep learning has emerged as a promising approach in computational biology, leading to the development of various deep learning-based methods for DTA prediction. To support researchers in developing novel and highly precision methods, we have provided a comprehensive review of recent advances in predicting DTA using deep learning. We firstly conducted a statistical analysis of commonly used public datasets, providing essential information and introducing the used fields of these datasets. We further explored the common representations of sequences and structures of drugs and targets. These analyses served as the foundation for constructing DTA prediction methods based on deep learning. Next, we focused on explaining how deep learning models, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer, and Graph Neural Networks (GNNs), were effectively employed in specific DTA prediction methods. We highlighted the unique advantages and applications of these models in the context of DTA prediction. Finally, we conducted a performance analysis of multiple state-of-the-art methods for predicting DTA based on deep learning. The comprehensive review aimed to help researchers understand the shortcomings and advantages of existing methods, and further develop high-precision DTA prediction tool to promote the development of drug discovery.

Coregulatory effects of multiple histone modifications in key ferroptosis-related genes for lung adenocarcinoma.

Aim: The present study was designed to investigate the coregulatory effects of multiple histone modifications (HMs) on gene expression in lung adenocarcinoma (LUAD). Materials & methods: Ten histones for LUAD were analyzed using ChIP-seq and RNA-seq data. An innovative computational method is proposed to quantify the coregulatory effects of multiple HMs on gene expression to identify strong coregulatory genes and regions. This method was applied to explore the coregulatory mechanisms of key ferroptosis-related genes in LUAD. Results: Nine strong coregulatory regions were identified for six ferroptosis-related genes with diverse coregulatory patterns (CA9, PGD, CDKN2A, PML, OTUB1 and NFE2L2). Conclusion: This quantitative method could be used to identify important HM coregulatory genes and regions that may be epigenetic regulatory targets in cancers.

[Analysis of association of economic burden of hypertension with tobacco exposure in Luoping county of Yunnan province].

OBJECTIVE: To analyze the association between hypertension and tobacco exposure Luoping county of Yunnan province and estimate the direct cost attributable to hypertension . METHODS: Using Probability proportional to size (PPS) sampling method, 5000 rural residents aged over 18 years were selected from 12 townships in Luoping county, Yunnan province in April 2011, from which 4611 subjects completed the survey. Self-designed questionnaires were used to collect general information, smoking status, costs for outpatient consultation, inpatient, treatment, medication, travel, accommodation and extra-nutrition caused by hypertension as well as the information of health-related behavior. Their height, weight, waist circumference, hip circumference and blood pressure were measured. The direct economic burden of hypertension was calculated. Chi-square (χ(2)) test was used to compare gender differences of hypertension prevalence, smoking and passive smoking. And t test was used to compare the differences of direct economic burden of hypertension among different gender, smoking and passive smoking status. Multivariable logistic regression model was used to analyze the influence factors of hypertension. RESULTS: Among the 4611 subjects, the age was (46.90 ± 16.74) years old. Male accounted for 49.8% (2294/4611) and female 50.2% (2317/4611) . The smoking rate was higher in males (75.7% (1736/2294)) than in females(1.6% (38/2317)) (χ(2) = 2669.21, P < 0.01). The passive smoking rate was lower in males (10.0% (230/2294)) than in females (46.2% (1070/2317)) (χ(2) = 744.27, P < 0.05). Non-tobacco exposure rate in males (14.3% (328/1537)) was lower than in females (52.2% (1209/1537)) (χ(2) = 744.37, P < 0.05) . The risk of hypertension in smokers and passive smokers were higher than those without tobacco exposure, OR (95%CI) was 1.41 (1.15-1.71) (P < 0.05) and 1.31 (1.07-1.63) (P < 0.05) respectively. The per capita direct cost of hypertension was (3444.09 ± 3067.83) Yuan. Of this, tobacco exposure (4552.46 ± 3189.05) Yuan was higher than non-tobacco exposure (1907.71 ± 1383.94) Yuan (t = -3.81, P < 0.05) . Moreover, smokers were (6951.71 ± 3422.87) Yuan higher than passive smokers (3128.09 ± 2083.17) Yuan (t = 3.19, P < 0.05) and males (5827.39 ± 3240.50) Yuan were higher than females (2633.03 ± 2569.01) Yuan (t = 3.22, P < 0.05) . The total direct costs of hypertension attributable to smoking and SHS was 41 million and 38 million, respectively. CONCLUSION: Both smoking and SHS had significant impact on prevalence and economic burden of hypertension in Luoping county. Implementing effective strategies to control tobacco exposure is useful to reduce the economic burden of hypertension in the study region.

The complete chloroplast genome of Nymphaea atrans (Surrey Wilfrid Laurance Jacobs, 1992: Nymphaeaceae).

Nymphaea atrans belongs to the subgenus Anecphya and displays varied flower colors over successive days. Because of its excellent ornamental characteristics, this species is widely cultivated in waterscape gardens worldwide. Here, we have sequenced the complete chloroplast genome of N. atrans. The whole genome size is 160,990 bp in length with four subregions: large and small single-copy regions of 90,879 and 19,699 bp, respectively, separated by a pair of inverted repeat regions of 25,206 bp each. A total of 126 genes were annotated, including 82 coding genes, eight ribosomal RNAs, and 36 transfer RNAs. The total GC content of the complete genome was 39%. Phylogenetic analysis showed that N. atrans was closely related to N. immutabilis. In this study, we have provided the chloroplast genome of N. atrans as a valuable resource for further phylogenetic analysis of Nymphaea species.

Replication and extension of the simplified modified rankin scale in 150 Chinese stroke patients.

BACKGROUND: Recently, a simplified modified Rankin Scale (mRS) questionnaire (smRSq) showed good reliability but has not been tested for its validity by its original creators. Our study aimed to test its reliability and validity in Chinese stroke patients. METHODS: Randomly chosen paired raters scored the smRSq, the conventional mRS, and the NIH Stroke Scale (NIHSS) face-to-face in 150 hospitalized stroke patients. Inter-rater reliability and concurrent validity were assessed for this translated questionnaire. RESULTS: For inter-rater reliability of the smRSq, the overall agreement among the raters was 84%, the κ was 0.79 (95% CI 0.72-0.87), and the κw was 0.91 (95% CI 0.88-0.94). For inter-rater reliability of the mRS, the overall agreement among the raters was 81%, the κ was 0.75 (95% CI 0.67-0.83), and the κw was 0.88 (95% CI 0.84-0.92). The agreement between the mRS and smRSq was 71%, κ = 0.63 (95% CI 0.54-0.71), and κw = 0.83 (95% CI 0.79-0.88). The correlation between the NIHSS and the smRSq (concurrent validity) was moderate (Spearman's correlation coefficient 0.70, p < 0.0001). CONCLUSIONS: Our results confirm the value of the smRSq in the assessment of stroke functional outcome in China. As this is a novel stroke tool, further validations are needed.

[Characteristics of cognitive impairment in patients with leukoaraiosis].

OBJECTIVE: To explore the characteristics of cognitive impairment in patients with leukoaraiosis (LA). METHODS: Forty-six LA patients and 38 age and gender-matched healthy subjects were recruited from the Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University between September 2010 and March 2011. All participants underwent the neuropsychological tests recommended by the National Institute of Neurological Disorders and Stroke-Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards (NINDS/CSN). The were divided into 3 different groups (mild, moderate and severe) according to the Fazekas scale. The differences of neuropsychological performances were compared among 3 groups. RESULTS: The LA patients were associated with comprehensive cognitive function deficits, including MMSE (24.4 ± 3.2 vs 28.3 ± 1.2), MoCA (20.4 ± 3.0 vs 26.2 ± 0.8), digital span forward (5.7 ± 0.9 vs 6.8 ± 1.0), digital span backward (3.5 ± 0.7 vs 4.1 ± 0.7), Stroop-B (69 ± 13 vs 43 ± 5), Stroop-C (141 ± 42 vs 65 ± 10), trail making test-A (73 ± 15 vs 31 ± 7), trail making test-B (126 ± 18 vs 82 ± 6) and digit symbol test (25 ± 6 vs 37 ± 5, P < 0.05). However, there was no difference in the performance of verbal fluency (12.7 ± 2.5 vs 13.4 ± 2.5, P > 0.05). Correlation analysis showed that the severity of LA had a negative correlation with the performance of MoCA (r = -0.601, P = 0.002). CONCLUSIONS: The LA patients are closely correlated with cognitive impairments of attention, memory, executive function and information processing speed. It may be attributed to the frontal-subcortical circuitry dysfunction.

Spatial Heterogeneity and Influencing Factors of HFRS Epidemics in Rural and Urban Areas: A Study in Guanzhong Plain of Shaanxi Province, China.

Objective: The Guanzhong Plain of Shaanxi Province is a severely afflicted hemorrhagic fever with renal syndrome (HFRS) epidemic area, while HFRS prevalence has decreased in most epidemic areas in China. Little information is available regarding the leading fine-scale influencing factors in this highly HFRS-concentrated area and the roles of natural environmental and socioeconomic factors. To investigate this, two regions in the Guanzhong Plain, that is, the Chang'an District and Hu County, with similar geographical environments, different levels of economic development, and high epidemic prevalence, were chosen as representative areas of the HFRS epidemic. Methods: Maximum entropy models were constructed based on HFRS cases and fine-scale influencing factors, including meteorological, natural environmental, and socioeconomic factors, from 2014 to 2016. Results: More than 95% of the HFRS cases in the study area were located in the northern plains, which has an altitude of less than 800 m, with topography contributed 84.1% of the impact on the spatial differentiation of the HFRS epidemic. In the northern plains, precipitation and population density jointly affected the spatial differentiation of the HFRS epidemic, with contribution rates of 60.7% and 28.0%, respectively. By comparing the influencing factors of the northern plains of Chang'an District and Hu County, we found that precipitation and the normalized difference vegetation index (NDVI) dominated the HFRS epidemic in the relatively developed Chang'an District, while land-use type, temperature, precipitation and population density dominated the HFRS epidemic in the relatively undeveloped Hu County. Conclusion: Topography was the primary key factor for HFRS prevalence in the Chang'an District and Hu County, and the spatial differentiation of HFRS was dominated by precipitation and population density in the northern plains. Compared with the influencing factors of the relatively developed Chang'an District, the developing Hu County was more affected by socioeconomic factors. When formulating targeted HFRS epidemic prevention and control strategies in the targeted areas, it is crucial to consider the local economic development state and combine natural environmental factors, including the meteorological environment and vegetation coverage.

Label-free quantitative proteomics analysis of etiolated maize seedling leaves during greening.

To better understand light regulation of C(4) plant maize development, we investigated dynamic proteomic differences between green seedlings (control), etiolated seedlings, and etiolated seedlings illuminated for 6 or 12 h using a label-free quantitative proteomics approach based on nanoscale ultraperformance liquid chromatography-ESI-MS(E). Among more than 400 proteins identified, 73 were significantly altered during etiolated maize seedling greening. Of these 73 proteins, 25 were identified as membrane proteins that seldom had been identified with two-dimensional electrophoresis methods, indicating the power of our label-free method for membrane protein identification; 31 were related to light reactions of chlorophyll biosynthesis, photosynthesis, and photosynthetic carbon assimilation. The expression of photosystem II subunits was highly sensitive to light; most of them were not identified in etiolated maize seedlings but drastically increased upon light exposure, indicating that the complex process of biogenesis of the photosynthetic apparatus correlates with the transition from a dark-grown to a light-grown morphology. However, transcriptional analysis indicated that most transcripts encoding these proteins were not regulated by light. In contrast, the levels of mRNAs and proteins for enzymes involved in carbon assimilation were tightly regulated by light. Additionally phosphoenolpyruvate carboxykinase, the key enzyme of the phosphoenolpyruvate carboxykinase C(4) pathway, was more tightly regulated by light than the key enzymes of the NADP-malic enzyme C(4) pathway. Furthermore phosphoenolpyruvate carboxylase 1C, which was originally reported to be specifically expressed in roots, was also identified in this study; expression of this enzyme was more sensitive to light than its isoforms. Taken together, these results represent a comprehensive dynamic protein profile and light-regulated network of C(4) plants for etiolated seedling greening and provide a basis for further study of the mechanism of gene function and regulation in light-induced development of C(4) plants.