DataSheet_1_Yield and quality of alfalfa (Medicago sativa L.) in response to fertilizer application in China: A meta-analysis.docx

IntroductionIn China, alfalfa (Medicago sativa L.) often grows in marginal land with poor soil fertility and suboptimal climate conditions. Alfalfa production cannot meet demands both in yield and quality. It is necessary to apply fertilizers to achieve high yields and produce high-quality alfalfa in China. However, there is no understanding on the impact of fertilizer application on alfalfa production and the possible optimal application rates across China.MethodsWe conducted a meta-analysis to explore the contribution of fertilizer application to the yield and quality of alfalfa based on a dataset from 86 studies published between 2004 and 2022.Results and DiscussionThe results showed that fertilizer application not only increased alfalfa yield by 19.2% but also improved alfalfa quality by increasing crude protein (CP) by 7.7% and decreasing acid detergent fibre by 2.9% and neutral detergent fibre by 1.8% overall compared to the non-fertilizer control levels. The combined nitrogen (N), phosphorus (P) and potassium (K) and combined NP fertilizer applications achieved the greatest yield and CP concentration increases of 27.0% and 13.5%, respectively. Considering both yield and quality, the optimal rate of fertilizer application ranged from 30 to 60 kg ha-1 for N, 120 to 150 kg ha-1 for P and less than 120 kg ha-1 for K. Meta-analysis further showed that the effect of fertilizer application on yield was greater in low soil organic matter (SOM) soils than in high SOM soils. In conclusion, fertilizer application is an effective strategy to improve the yield and quality of alfalfa in China, especially that grown in low SOM soils. This study is helpful for optimizing fertilization schedules of alfalfa in China.</p

<i>N</i>,<i>N‘</i>-Ethylenedi-l-cysteine (EC) and Its Metal Complexes: Synthesis, Characterization, Crystal Structures, and Equilibrium Constants

N,N‘-ethylenedi-l-cysteine (EC) and its indium(III) and gallium(III) complexes have been synthesized and characterized. The crystal structures of the ligand and the complexes have been determined by single-crystal X-ray diffraction. EC·2HBr·2H2O (C8H22Br2N2O6S2) crystallizes in the orthorhombic space group P21212 with a = 12.776(3) Å, b = 13.735(2) Å, c = 5.1340 (10) Å, Z = 2, and V = 900.9(3) Å3. The complexes Na[M(III)EC]·2H2O (C8H16MN2O6S2Na) are isostructural for M = In and Ga, crystallizing in the tetragonal space group P42212 with the following lattice constants for In, (Ga):  a = 10.068(2) Å, (9.802(2) Å), b = 10.068(2) Å, (9.802(2) Å), c = 14.932(2) Å, (15.170(11) Å), Z = 4 (4), and V = 1513.6(5) Å3, (1457.5(11) Å3). In both metal complexes, the metal atoms (In and Ga) are coordinated by six donor atoms (N2S2O2) in distorted octahedral coordination geometries in which two sulfur atoms and two nitrogen atoms occupy the equatorial positions, and the axial positions are occupied by two oxygen atoms of two carboxylate groups. The structures of the complexes previously predicted by molecular mechanics are compared with the crystal structures of the Ga(III) and In(III) complexes obtained experimentally. In contrast to the oxygen donors in phenolate-containing ligands, such as 1,2-ethylenebis((o-hydroxyphenyl)glycine) (EHPG) and N,N‘-bis(o-hydroxybenzyl)ethylenediamine-N,N‘-diacetic acid (HBED), the thiolate donors of EC enhances affinity for In(III) relative to Ga(III). The following stability sequence has been obtained:  In(III) > Ga(III) ≫ Ni(II) > Zn(II) > Cd(II) > Pb(II) > Co(II). Evidence was also obtained for several protonated and hydroxo species of the complexes of both divalent and trivalent metals, where the corresponding protonation constants (KMHL) decrease with increasing stability of the chelate, MLn-4, where Mn+ represent the metal ion

Table_1_The effect of high-fructose corn syrup vs. sucrose on anthropometric and metabolic parameters: A systematic review and meta-analysis.pdf

High-fructose corn syrup (HFCS) has been speculated to have stronger negative metabolic effects than sucrose. However, given the current equivocality in the field, the aim of the present study was to determine the impact of HFCS use compared to sucrose on anthropometric and metabolic parameters. We searched PubMed, Scopus, Cochrane Central and web of sciences, from database inception to May 2022. A random effects model and the generic inverse variance method were applied to assess the overall effect size. Heterogeneity analysis was performed using the Cochran Q test and the I2 index. Four articles, with 9 arms, containing 767 participants were included in this meta-analysis. Average HFCS and sucrose usage equated to 19% of daily caloric intake. Combined data from three studies indicated that HFCS intake does not significantly change the weight (weighted mean difference (WMD): −0.29 kg, 95% CI: −1.34, 0.77, I2 = 0%) when compared to the sucrose group. Concordant results were found for waist circumstance, body mass index, fat mass, total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglyceride (TG), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Moreover, overall results from three studies indicated a significant increase in CRP levels (WMD: 0.27 mg/l, 95% CI: 0.02, 0.52, I2 = 23%) in the HFCS group compared to sucrose. In conclusion, analysis of data from the literature suggests that HFCS consumption was associated with a higher level of CRP compared to sucrose, whilst no significant changes between the two sweeteners were evident in other anthropometric and metabolic parameters.</p

Image_1_The effect of high-fructose corn syrup vs. sucrose on anthropometric and metabolic parameters: A systematic review and meta-analysis.pdf

High-fructose corn syrup (HFCS) has been speculated to have stronger negative metabolic effects than sucrose. However, given the current equivocality in the field, the aim of the present study was to determine the impact of HFCS use compared to sucrose on anthropometric and metabolic parameters. We searched PubMed, Scopus, Cochrane Central and web of sciences, from database inception to May 2022. A random effects model and the generic inverse variance method were applied to assess the overall effect size. Heterogeneity analysis was performed using the Cochran Q test and the I2 index. Four articles, with 9 arms, containing 767 participants were included in this meta-analysis. Average HFCS and sucrose usage equated to 19% of daily caloric intake. Combined data from three studies indicated that HFCS intake does not significantly change the weight (weighted mean difference (WMD): −0.29 kg, 95% CI: −1.34, 0.77, I2 = 0%) when compared to the sucrose group. Concordant results were found for waist circumstance, body mass index, fat mass, total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglyceride (TG), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Moreover, overall results from three studies indicated a significant increase in CRP levels (WMD: 0.27 mg/l, 95% CI: 0.02, 0.52, I2 = 23%) in the HFCS group compared to sucrose. In conclusion, analysis of data from the literature suggests that HFCS consumption was associated with a higher level of CRP compared to sucrose, whilst no significant changes between the two sweeteners were evident in other anthropometric and metabolic parameters.</p

MOESM1 of MicroRNA profiling of diabetic atherosclerosis in a rat model

Additional file 1: Table S1. qRT-PCR analysis of AG vs. NAG relative expression levels. Table S2. DE-miR expression measured by miRNA microarray and qRT-PCR. Table S3. 3349 predicted target genes of the 9 DE-miRs. Table S4. GO analysis of target genes. Table S5. Pathway analysis of target genes. Table S6. Degree of functions in miRNA-function network. Table S7. Degree of target genes in miRNA-gene network

Data_Sheet_1_Expression Profile of Immunoglobulin G Glycosylation in Children With Epilepsy in Han Nationality.docx

BackgroundEpilepsy is a chronic brain disease that recurs during childhood, and more than half of adult epilepsy originates from childhood. Studies suggested that immunoglobulin G (IgG) glycosylation are closely related to neurological diseases. Here we analyzed the characteristics of the immunoglobulin glycosylation profile of children with epilepsy.MethodsPatients were recruited in Taian, Shandong Province from December 2019 to March 2020. Serum IgG glycome composition was analyzed by hydrophilic interaction liquid chromatography with ultra-high-performance liquid chromatography approach.ResultsThe proportion of fucosylated glycans in total IgG glycans was 93.72% in the epilepsy patients, which was significantly lower than that in the control group (94.94%). A lower level of total monogalactosylated and digalactosylated glycans were observed in the epilepsy patients group (30.76 and 40.14%) than that in the controls (36.17 and 42.69%). There was no significant difference between the two groups in bisected GlcNAc glycans and sialylated glycans.ConclusionThe decrease of core fucosylation and galactosylation may promote the inflammatory reaction of the body and participate in the occurrence of epilepsy in children.</p

Additional file 1 of The prevalence of soil transmitted helminths and its influential factors in Shandong Province, China: an analysis of surveillance data from 2016 to 2020

Additional file 1: Figure S1. Total results of STHs surveillance and questionnaire survey in Shandong Province. Table S1. The two-pair comparison of STHs prevalence between different regions of Shandong Province. Table S2. Comparison of STHs-related natural and social factors in different year

DNP-mediated NPC cell metastasis and HSP70-2 expression <i>in vivo</i>.

<p>A, 20 BABL/c nude mice were injected with 6-10B cells in Matrigel through the tail vein (1×10⁴ cells/mouse), and randomly divided into 2 groups (DNP-treated and control groups) with 10 mice per group. The DNP-treated group was abdominally injected using DNP at a dose of 40 mg/kg twice a week for 60 days. The control group was injected using 0.1% DMSO-PBS. After 60 days, metastatic tumors from the mediastinal lymph nodes were weighed (*, p<0.05). B, HSP70-2 expression was detected in the metastatic tumor samples using immunohistochemistry. Paraffin sections were stained using hematoxylin and eosin as well as with antibodies against HSP70-2. The upper panel represents staining with hematoxylin and eosin; the lower panel represents immunohistochemistry data. a and c represent untreated 6-10B cells as a negative control; b and d represent DNP-treated 6-10B cells; Arrows = positive cell. Original magnification, ×400. Scale bar = 5 µm. C, Schematic illustration of DNP-induced HSP70-2. DNP-mediated HSP70-2 expression through binding to HSP70-2 promoter, promotes motility and invasion, leading to metastasis of NPC cells.</p

Additional file 3 of Identification of novel signaling components in N,N’-Dinitrosopiperazine-mediated metastasis of nasopharyngeal Carcinoma by quantitative phosphoproteomics

Additional file 3: Figure S1: Phospho-LYRIC expression in the primary and metastatic tumor tissue of NPC patient. 31 primary NPC tissues were from the nasopharyngeal biopsy tissues of NPC patients, and 27 metastatic tumor tissues were from the cervical lymph metastatic node. The primary NPC and metastatic tumor samples were embedded, and 4 μm-thick tissue sections were deparaffinized in xylene, rehydrated in a graded alcohol series. Phospho-LYRIC was detected in these sections using immunohistochemistry. a, Primary NPC paraffin sections were stained with antibody against phospho-LYRIC S568; b, Metastatic tumor tissues were stained with antibody against phospho-LYRIC S568; c, Primary NPC tissues were stained with hematoxylin and eosin; d, Metastatic tumor tissues were stained with hematoxylin and eosin. Arrow, positive cells. Original magnification, × 400. Scale bar, 5μm. H & E, hematoxylin and eosin. (DOC 330 KB

Additional file 8 of Identification of novel signaling components in N,N’-Dinitrosopiperazine-mediated metastasis of nasopharyngeal Carcinoma by quantitative phosphoproteomics

Authors’ original file for figure