Efficacy of Melatonin for Insomnia in Children with Autism Spectrum Disorder: A Meta-analysis.

AIM: This study aimed to evaluate the effectiveness of melatonin in treating insomnia in children with autism spectrum disorder (ASD). METHODS: Comprehensive searches were conducted in the PubMed, EMBASE, and Web of Science databases from their inception to April 20, 2022. Data were extracted and assessed for quality by two researchers. Statistical analysis was performed using the Stata 15.0 software. RESULTS: Four studies including 238 patients were included. The results showed that compared with the control group, melatonin could shorten the sleep-onset latency (standardized mean difference [SMD] = - 1.34, 95% CI: -2.19 to -0.48), reduce the number of awakenings (SMD = -2.35, 95% CI: -4.62 to -0.08), and prolong the total sleep time (SMD = 1.42, 95% CI: 0.5-2.33) in children with ASD. CONCLUSION: Melatonin has a certain effect on relieving sleep disturbances in children with ASD, which can shorten sleep latency, reduce the number of awakenings, and prolong total sleep time. Larger studies are required to verify this hypothesis.

[Correlation of sperm HDS with sperm DFI and morphology and its influence on in vitro fertilization in infertile males].

OBJECTIVE: To invest the correlation of sperm high DNA stainability (HDS) with sperm DNA fragmentation index (DFI) and sperm abnormalities and its influence on in vitro fertilization (IVF) in male infertility patients, and assess the clinical value of HDS. METHODS: Using flow cytometry-assisted sperm chromatin structure assay (SCSA), we examined sperm HDS and sperm DFI in 322 male infertility patients undergoing IVF due to female fallopian tube factors only. Based on sperm HDS, we divided the patients into five groups and compared the semen routine parameters, percentage of morphologically abnormal sperm (MAS), sperm DFI, rates of fertilization, cleavage and high-quality embryos, and pregnancy outcomes among different HDS groups. RESULTS: Among the 322 male infertility patients, 119 (36.96%) were found with a sperm HDS of 0 － <5%, 117 (36.34%) of 5% － <10%, 50 (15.53%) of 10% － <15%, 23 (7.14%) of 15% － <20%, and 13 (4.03%) of ≥20%. Sperm concentration, motility and progressive motility were decreased with the increase of sperm HDS, but with no statistically significant difference (P > 0.05), so were the rates of fertilization, high-quality embryos and pregnancy (P > 0.05). Sperm DFI and sperm abnormality were correlated positively with sperm HDS (r = 0.236, r = 0.203). The rate of early abortion was remarkably increased in those with sperm HDS greater than 10%. CONCLUSION: Sperm HDS may be a risk indicator of sperm DFI and sperm abnormality, and can be used as a predictive indicator of early abortion in IVF.

[A preliminary pharmacophylogenetic study of Solanaceae medicinal plants containing tropane alkaloids].

The Solanaceae plants distributed in China belong to 105 species and 35 varietas of 24 genera. Some medicinal plants of Solanaceae are rich in tropane alkaloids(TAs), which have significant pharmacological activities. In this paper, the geographical distribution, chemical components, traditional therapeutic effect, pharmacological activities, and biosynthetic pathways of TAs in Solanaceous plants were summarized. Besides, the phylogeny of medicinal plants belonging to Solanaceae was visualized by network diagram. Fourteen genera of Solanaceae plants in China contain TAs and have medical records. TAs mainly exist in Datura, Anisodus, Atropa, Physochlaina, and Hyoscyamus. The TAs-containing species were mainly concentrated in Southwest China, and the content of TAs was closely related to plant distribution area and altitude. The Solanaceae plants containing TAs mainly have antispasmodic, analgesic, antiasthmatic, and antitussive effects. Modern pharmacological studies have proved the central sedative, pupil dilating, glandular secretion-inhibiting, and anti-asthma activities of TAs. These pharmacological activities provide a reasonable explanation for the traditional therapeutic efficacy of tropane drugs. In this paper, the geographical distribution, chemical components, traditional therapeutic effect, and modern pharmacological activities of TAs-containing species in Solanaceae were analyzed for the first time. Based on these data, the genetic relationship of TAs-containing Solanaceae species was preliminarily discussed, which provided a scientific basis for the basic research on TAs-containing solanaceous species and was of great significance for the development of natural medicinal plant resources containing TAs.

Genome­wide integrated analysis demonstrates widespread functions of lncRNAs in mammary gland development and lactation in dairy goats.

BACKGROUND: The mammary gland is a unique organ for milk synthesis, secretion and storage, and it undergoes cyclical processes of development, differentiation, lactation and degeneration. At different developmental periods, the biological processes governing mammary gland physiology and internal environmental homeostasis depend on a complex network of genes and regulatory factors. Emerging evidence indicates that lncRNAs have arbitrarily critical functions in regulating gene expression in many organisms; however, the systematic characteristics, expression, and regulatory roles of lncRNAs in the mammary gland tissues of dairy goats have not been determined. RESULT: In the present study, we profiled long noncoding RNA (lncRNA) expression in the mammary gland tissues of Laoshan dairy goats (Capra hircus) from different lactation periods at the whole-genome level, to identify, characterize and explore the regulatory functions of lncRNAs. A total of 37,249 transcripts were obtained, of which 2381 lncRNAs and 37,249 mRNAs were identified, 22,488 transcripts, including 800 noncoding transcripts and 21,688 coding transcripts, differed significantly (p ≤ 0.01) among the different lactation stages. The results of lncRNA-RNA interaction analysis showed that six known lncRNAs belonging to four families were identified as the precursors of 67 known microRNAs; 1478 and 573 mRNAs were predicted as hypothetical cis-regulation elements and antisense mRNAs, respectively. GO annotation and KEGG analysis indicated that the coexpressed mRNAs were largely enriched in biological processes related to such activities as metabolism, immune activation, and stress,., and most genes were involved in pathways related to such phenomena as inflammation, cancer, signal transduction, and metabolism. CONCLUSIONS: Our results clearly indicated that lncRNAs involved in responses to stimuli, multiorganism processes, development, reproductive processes and growth, are closely related to mammary gland development and lactation.

Recent clinical advances of glucokinase activators in the treatment of diabetes mellitus type 2.

Glucokinase (GK) is an isozyme of hexokinase that catalyzes the phosphorylation of glucose. GK is present in many organs of the human body, including the liver and pancreas. GK plays an important role in promoting the synthesis of hepatic glycogen and balancing postprandial blood glucose. Mutations in the GK gene can result in the inclusion of maturity-onset diabetes of the young (MODY2) and permanent neonatal Diabetes mellitus (PNDM). Glucokinase activators (GKAs) are a class of type 2 diabetes drugs designed for this target. In various animal models of type 2 diabetes, GKAs have been shown to have the ability to decrease blood glucose, and some GKAs also have the ability to stimulate ß cell proliferation. However, due to the induction of hypoglycemia and increased liver burden, many candidates stopped in phase II clinical trials. Recently, dorzagliatin has reached the primary endpoint of phase III clinical trial, which can repair the core function of GK as a blood glucose sensor, and can delay or even reverse islet ß -cell damage and functional decline. This provides a promising prospect for the study of GKAs as candidates for the treatment of type 2 diabetes. This review summarizes the clinical advances in GKAs.

Species Identification of Oaks (Quercus L., Fagaceae) from Gene to Genome.

Species identification of oaks (Quercus) is always a challenge because many species exhibit variable phenotypes that overlap with other species. Oaks are notorious for interspecific hybridization and introgression, and complex speciation patterns involving incomplete lineage sorting. Therefore, accurately identifying Quercus species barcodes has been unsuccessful. In this study, we used chloroplast genome sequence data to identify molecular markers for oak species identification. Using next generation sequencing methods, we sequenced 14 chloroplast genomes of Quercus species in this study and added 10 additional chloroplast genome sequences from GenBank to develop a DNA barcode for oaks. Chloroplast genome sequence divergence was low. We identified four mutation hotspots as candidate Quercus DNA barcodes; two intergenic regions (matK-trnK-rps16 and trnR-atpA) were located in the large single copy region, and two coding regions (ndhF and ycf1b) were located in the small single copy region. The standard plant DNA barcode (rbcL and matK) had lower variability than that of the newly identified markers. Our data provide complete chloroplast genome sequences that improve the phylogenetic resolution and species level discrimination of Quercus. This study demonstrates that the complete chloroplast genome can substantially increase species discriminatory power and resolve phylogenetic relationships in plants.

Genome-wide analysis reveals signatures of selection for important traits in domestic sheep from different ecoregions.

BACKGROUND: Throughout a long period of adaptation and selection, sheep have thrived in a diverse range of ecological environments. Mongolian sheep is the common ancestor of the Chinese short fat-tailed sheep. Migration to different ecoregions leads to changes in selection pressures and results in microevolution. Mongolian sheep and its subspecies differ in a number of important traits, especially reproductive traits. Genome-wide intraspecific variation is required to dissect the genetic basis of these traits. RESULTS: This research resequenced 3 short fat-tailed sheep breeds with a 43.2-fold coverage of the sheep genome. We report more than 17 million single nucleotide polymorphisms and 2.9 million indels and identify 143 genomic regions with reduced pooled heterozygosity or increased genetic distance to each other breed that represent likely targets for selection during the migration. These regions harbor genes related to developmental processes, cellular processes, multicellular organismal processes, biological regulation, metabolic processes, reproduction, localization, growth and various components of the stress responses. Furthermore, we examined the haplotype diversity of 3 genomic regions involved in reproduction and found significant differences in TSHR and PRL gene regions among 8 sheep breeds. CONCLUSIONS: Our results provide useful genomic information for identifying genes or causal mutations associated with important economic traits in sheep and for understanding the genetic basis of adaptation to different ecological environments.

Three slow skeletal muscle troponin genes in small-tailed Han sheep (Ovis aries): molecular cloning, characterization and expression analysis.

To explore the basic characteristics and expressing profile of the three slow skeletal muscle troponin genes TNNC1 (Troponin C type 1), TNNI1 (troponin I type 1) and TNNT1 (troponin T type 1). Three purebred Dorper sheep and another three purebred small-tailed Han sheep were selected. The sequence of the genes from the small-tailed Han sheep was cloned using rapid amplification of cDNA ends and reverse transcription-polymerase chain reaction; The characteristics of the predicted amino acids sequences were analyzed using bioinformatics analysis software; Gene expression analyses were performed using quantitative reverse transcription PCR. The full-length cDNA sequences of the genes were 707, 898, and 1001 bp, respectively, and were submitted to GenBank under accession numbers KR153938, KT218688 and KT218690. The three predicted proteins were predicted to be hydrophilic, non-secretory proteins and contain several phosphorylation sites. Multiple alignments and phylogenetic tree analyses showed that the predicted proteins were relatively conserved in mammals. The expression results of the three genes in eight tissues of Dorper and small-tailed Han sheep revealed that the three genes had a similar mRNA expression pattern, whereas distinct differences were observed among the eight tissues of the two sheep species. We cloned the full-length cDNA of the three genes, analyzed the amino acid sequences, and determined the expression levels of the genes. These results might play important roles in facilitating the future research of the three genes.

Metabolic pathways leading to detoxification of triptolide, a major active component of the herbal medicine Tripterygium wilfordii.

Triptolide (TP) shows promising anti-inflammatory and antitumor activity but with severe toxicity. TP is a natural reactive electrophile containing three epoxide groups, which are usually linked to hepatotoxicity via their ability to covalently bind to cellular macromolecules. In this study, metabolic pathways leading to detoxification of TP were evaluated in glutathione (GSH)-depleted (treated with L-buthionine-S,R-sulfoxinine, BSO) and aminobenzotriazole (ABT; a non-specific inhibitor for P450s)-treated mice. The toxicity of TP in mice was evaluated in terms of mortality and levels of serum alanine transaminase (ALT). In incubates with NADPH- and GSH-supplemented liver microsomes, seven GSH conjugates derived from TP were detected. In mice, these hydrolytically unstable GSH conjugates underwent γ-glutamyltranspeptidase/dipeptidases-mediated hydrolysis leading to two major cysteinylglycine conjugates, which underwent further hydrolysis by dipeptidases to form two cysteine conjugates of TP. In ABT-treated mice, the hydroxylated metabolites of TP were found at a lower level than normal mice, and their subsequent conjugated metabolites were not found. The level of cysteinylglycine and cysteine conjugates derived from NADPH-independent metabolism increased in mice treated with both TP and BSO (or ABT), which could be the stress response to toxicity of TP. Compared with normal mice, mortality and ALT levels were significantly higher in TP-treated mice, indicating the toxicity of TP. Pretreatment of ABT increased the toxicity caused by TP, whereas the mortality decreased in GSH-depleted mice. Metabolism by cytochrome P450 enzymes to less reactive metabolites implied a high potential for detoxification of TP. The GSH conjugation pathway also contributed to TP's detoxification in mice.

[Coumarins from Leonurus japonicus and their anti-platelet aggregative activity].

Chemical constituents of Leonurus japonicus were isolated and purified by a combination of various chromatographic techniques including column chromatography over silica gel, Sephadex LH-20, MCI, and Rp C18. Structures of the isolates were determined by spectroscopic analysis as 10 coumarins: bergapten (1), xanthotoxin (2), isopimpinellin (3), isogosferal (4), imperatorin (5), meransin hydrate(6), isomeranzin(7), murrayone(8) , auraptenol(9), and osthol(10). In addition to compound 9, the others were isolated from the genus Leonurus for the first time. In the in vitro assay, compounds 4 and 8 significantly inhibited the abnormal increase of platelet aggregation induced by ADP.

Rhythm gene PER1 mediates ferroptosis and lipid metabolism through SREBF2/ALOX15 axis in polycystic ovary syndrome.

OBJECTIVE: This work aimed to investigate the role of rhythm gene PER1 in mediating granulosa cell ferroptosis and lipid metabolism of polycystic ovary syndrome (PCOS). METHODS: We injected dehydroepiandrosterone and Ferrostatin-1 (Fer-1) into mice to explore the mechanism of ferroptosis in PCOS. The effect of PER1 on ferroptosis-like changes in granulosa cells was explored by overexpression of PER1 plasmid transfection and Fer-1 treatment. RESULTS: We found that Fer-1 ameliorated the characteristic polycystic ovary morphology, suppressed ferroptosis in the PCOS mice. PER1 and ALOX15 were highly expressed in PCOS, whereas SREBF2 was lowly expressed. Overexpression of PER1 decreased granulosa cell viability and inhibited proliferation. Meanwhile, overexpression of PER1 increased lipid reactive oxygen species, 4-Hydroxynonenal (4-HNE), Malondialdehyde (MDA), total Fe, and Fe2+ levels in granulosa cells and decreased Glutathione (GSH) content. Fer-1, SREBF2 overexpression, or ALOX15 silencing treatment reversed the effects of PER1 overexpression on granulosa cells. PER1 binds to the SREBF2 promoter and represses SREBF2 transcription. SREBF2 binds to the ALOX15 promoter and represses ALOX15 transcription. Correlation analysis of clinical trials showed that PER1 was positively correlated with total cholesterol, low-density lipoprotein cholesterol, luteinizing hormone, testosterone, 4-HNE, MDA, total Fe, Fe2+, and ALOX15. In contrast, PER1 was negatively correlated with SREBF2, high-density lipoprotein cholesterol, follicle-stimulating hormone, progesterone, and GSH. CONCLUSION: This study demonstrates that the rhythm gene PER1 promotes ferroptosis and dysfunctional lipid metabolism in granulosa cells in PCOS by inhibiting SREBF2/ALOX15 signaling.

Academic procrastination of nursing students in higher vocational college: Application of latent profile analysis and network analysis.

BACKGROUND: Academic procrastination is especially prevalent among nursing students in higher vocational colleges and it is considered an important factor of poor academic performance. However, existing research mainly focused on the overall level of academic procrastination, and little is known about the individual heterogeneity of academic procrastination among nursing students in higher vocational colleges. Thus, the aim of this study was to clarify the subgroups and factors of academic procrastination among nursing students in higher vocational college and explore academic procrastination networks of the latent subgroups. METHODS: A cross-sectional study with online survey. 1369 nursing students in one higher vocational college were recruited using convenience sampling. Participants completed electronic questionnaires that collected demographic and academic characteristics, perceived stress, and academic procrastination. Latent profile analysis, multinomial logistic regression analysis, and network analysis were performed to analyze the data. RESULTS: Three latent profiles of academic procrastination were identified: low (32.4 %), medium (53.3 %), and high (14.3 %). Higher vocational college nursing students who have reset an exam, low professional identity, and perceived more stress are more likely to have higher academic procrastination than other profiles. Network analysis showed that academic procrastination networks structure of the three latent profiles had distinct central components. For the low academic procrastination group, AP11 ("I make study plans, but I often fail to stick to them") and AP12 ("If there is no external pressure, I tend to postpone assignments or reports with deadlines") were the core components. For the medium academic procrastination group, AP17 ("I always wait until I can't postpone my academic tasks any longer before starting them") and AP16 ("I always tend to postpone on assignments or other academic tasks") were the central components. For the high academic procrastination group, AP16 and AP7 ("When studying in my dorm room, I often stop to do other things") were the essential components. CONCLUSIONS: There is heterogeneity in higher vocational college nursing students' academic procrastination that can be classified into three latent profiles. The examined factors of academic procrastination and identified the central components of academic procrastination networks of the three latent profiles help nurse educators tailor targeted interventions.

YKL-40 Knockdown Decreases Oxidative Stress Damage in Ovarian Granulosa Cells.

Background: Oxidative stress has been implicated in the pathogenesis of polycystic ovarian syndrome (PCOS). To develop novel antioxidant drugs, it is necessary to explore the key regulatory molecules involved in oxidative stress in PCOS. Plasma YKL-40 levels are elevated in patients with PCOS; however, its role remains unclear. Methods: The follicular fluids of 20 women with PCOS and 12 control subjects with normal ovarian function were collected, and YKL-40 in follicular fluids was measured by enzyme-linked immunosorbent assay. A letrozole-induced PCOS rat model was established and the expression level of YKL-40 in the ovaries was detected by immunohistochemistry. KGN cells were treated with H2O2 to generate an ovarian granulosa cell (OGC) model of oxidative stress. The siRNA was transfected into the cells for knockdown. The effect of YKL-40 knockdown on H2O2-treated KGN cells was evaluated by measuring proliferation, apoptosis, activities of T-SOD, GSH-Px, and CAT, levels of MDA, IL-1ß, IL-6, IL-8, and TNF-α, and the PI3K/AKT/NF-κB signaling pathway. Results: YKL-40 levels were elevated in the follicular fluids of women with PCOS compared with control subjects with normal ovarian function. The expression level of YKL-40 in the ovaries of rats with PCOS is obviously higher than that in the ovaries of the control group rats. H2O2 treatment enhanced YKL-40 mRNA expression and protein secretion. YKL-40 knockdown enhanced cell proliferation and antioxidant capacity while decreasing apoptosis and inflammatory factor levels in KGN cells following H2O2 treatment. The knockdown activated the PI3K/AKT signaling pathway and suppressed NF-κB nuclear translocation from the cytoplasm. Conclusion: YKL-40 levels were elevated in the follicular fluids of women with PCOS and the ovaries of rats with PCOS. YKL-40 expression can be induced by oxidative stress, and YKL-40 knockdown can decrease oxidative stress damage in OGCs.

Mapping and analyzing the spatiotemporal dynamics of forest aboveground biomass in the ChangZhuTan urban agglomeration using a time series of Landsat images and meteorological data from 2010 to 2020.

In the context of global warming, there is a substantial demand for accurate and cost-effective assessment and comprehensive understanding of forest above-ground biomass (AGB) dynamics. The timeliness and low cost of optical remote sensing data enable the mapping of large-scale forest AGB dynamics. However, mapping forest AGB with optical remote sensing data presents challenges primarily due to data uncertainty and the complex nature of the forest environment. Previous studies have demonstrated the potential of meteorological data in enhancing forest AGB mapping. To accurately capture the dynamics of forest AGB, we initially acquired Landsat datasets, digital elevation model (DEM), and meteorological datasets (temperature, humidity, and precipitation) from 2010 to 2020 in Changsha-Zhuzhou-Xiangtan urban agglomeration (CZT) located in Hunan Province, China. Spectral variables (SVs), including spectral bands and vegetation indices, were extracted from Landsat images, while meteorological variables (MVs) were derived from the monthly meteorological data using the Savitzky-Golay (S-G) filtering algorithm. Additionally, terrain variables (TVs) were also extracted from the DEM data. Three modelling models, multiple linear regression (MLR), K nearest neighbor (KNN) and random forest (RF), were developed for mapping the dynamics of forest AGB in CZT. The result revealed that MVs have the potential to improve forest AGB mapping. Integration of MVs into the models resulted in a significant reduction in root mean square error (RMSE) ranging from 32.85 % to 19.25 % compared to utilizing only SVs. However, minimal improvement was observed with the inclusion of TVs due to negligible topographic relief within the study area. An upward trend of forest AGB in CZT was observed during this period, which can be attributed to the effective implementation of government environmental protection policies. It is confirmed that the meteorological data has significant contribution to forest AGB mapping, thereby endorsing advancements in forest resource monitoring and management programs.

Discovery of Novel Ortho-Aminophenol Derivatives Targeting Lipid Peroxidation with Potent Antiferroptotic Activities.

The concept of ferroptosis inhibition has gained growing recognition as a promising therapeutic strategy for addressing a wide range of diseases. Here, we present the discovery of four series of ortho-aminophenol derivatives as potential ferroptosis inhibitors beginning with the endogenous substance 3-hydroxyanthranilic acid (3-HA) by employing quantum chemistry techniques, in vitro and in vivo assays. Our findings reveal that these ortho-aminophenol derivatives exhibit unique intra-H bond interactions, compelling ortho-amines to achieve enhanced alignment with the aromatic π-system, thereby expanding their activity. Notably, compounds from all four series display remarkable activity against RSL3-induced ferroptosis, showcasing an activity 100 times more than that of 3-HA. Furthermore, these compounds also demonstrate robust in vivo efficacy in protecting mice from kidney ischemia-reperfusion injury and acetaminophen-induced hepatotoxicity. In summary, we provide four distinct series of active scaffolds that significantly expand the chemical space of ferroptosis inhibitors, serving as valuable insights for future structural modifications.

Sesquiterpenoids from the herb of Leonurus japonicus.

Two new sesquiterpenoids, (-)-(1S*,2S*,3R*)-3-ethoxycupar-5-ene-1,2-diol (1) and (-)-(1S*,4S*,9S*)-1,9-epoxybisabola-2,10-diene-4-ol (2), along with six known compounds 3-8, were isolated from the EtOH extract of the herb of Leonurus japonicus. Their structures were elucidated by physical and spectroscopic analysis. In the in vitro assays, compounds 7 and 8 showed obvious antibacterial activity against several bacteria strains, while compound 3 significantly inhibited abnormal increase of platelet aggregation induced by ADP.

Identification and Function Prediction of Novel MicroRNAs in Laoshan Dairy Goats.

MicroRNAs are a class of endogenous small RNAs that play important roles in post-transcriptional gene regulation by directing degradation of mRNAs or facilitating repression of target gene translation. In this study, three small RNA cDNA libraries from the mammary gland tissues of Laoshan dairy goats (Capra hircus) were constructed and sequenced, individually. Through Solexa high-throughput sequencing and bioinformatics analysis, we obtained 50 presumptive novel miRNAs candidates, and 55,448 putative target genes were predicted. GO annotations and KEGG pathway analyses showed the majority of target genes were involved in various biological processes and metabolic pathways. Our results discovered more information about the regulation network between miRNAs and mRNAs and paved a foundation for the molecular genetics of mammary gland development in goats.

Analysis of the Relative Importance of Stand Structure and Site Conditions for the Productivity, Species Diversity, and Carbon Sequestration of Cunninghamia lanceolata and Phoebe bournei Mixed Forest.

Forest stand structure (the characteristics and interrelationships of live trees) and site conditions (the physical and environmental characteristics of a specific location) have been linked to forest regeneration, nutrient cycling, wildlife habitat, and climate regulation. While the effects of stand structure (i.e., spatial and non-spatial) and site conditions on the single function of Cunninghamia lanceolata and Phoebe bournei (CLPB) mixed forest have been studied in previous studies, the relative importance of stand structure and site conditions in terms of productivity, species diversity, and carbon sequestration remains unresolved. In this study, a structural equation model (SEM) was adopted to analyze the relative importance of stand structure and site conditions for the forest productivity, species diversity, and carbon sequestration of CLPB mixed forest in Jindong Forestry in Hunan Province. Our research demonstrates that site conditions have a greater influence on forest functions than stand structure, and that non-spatial structures have a greater overall impact on forest functions than spatial structures. Specifically, the intensity of the influence of site conditions and non-spatial structure on functions is greatest for productivity, followed by carbon sequestration and species diversity. In contrast, the intensity of the influence of spatial structure on functions is greatest for carbon sequestration, followed by species diversity and productivity. These findings provide valuable insights for the management of CLPB mixed forest in Jindong Forestry and have significant reference value for the close-to-natural forest management (CTNFM) of pure Cunninghamia lanceolata forests.

Factors influencing clinical pregnancy outcome of in vitro fertilization/intracytoplasmic sperm injection in older women.

Objective: To analyse the factors influencing clinical pregnancy outcome of in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) in older women, and to establish a risk prediction model. Methods: A total of 425 patients receiving IVF/ICSI from March 2018 to March 2020 were divided into pregnancy group (n=194) and non-pregnancy group (n=231). The factors affecting the outcomes of IVF/ICSI were explored by univariate and multivariate logistic regression analyses. A nomogram prediction model was constructed. Results: The two groups had significantly different age, body mass index, dysmenorrhea, parity, times of full-term births, history of cesarean section, basal follicle stimulating hormone, basal antral follicle count (AFC), number of high-quality embryos, and basal estradiol, luteinizing hormone and endometrial thickness on the day of human chorionic gonadotropin (HCG) administration (P<0.05). Age ≥40 years old, dysmenorrhea, history of cesarean section, basal AFC<9, number of high-quality embryos <4, and endometrial thickness on the day of HCG administration <11 mm led to IVF/ICSI failure. The established model exhibited high calibration and discrimination degrees in predicting the outcome of IVF/ICSI. Conclusion: The risk prediction model for the pregnancy outcome of IVF/ICSI in older women helps evaluate the fertility probability and risk, providing references for formulating reasonable assisted reproduction plans.

Ferrous Sulfate-Mediated Control of Phytophthora capsici Pathogenesis and Its Impact on Pepper Plant.

Phytophthora capsici, a destructive fungal pathogen, poses a severe threat to pepper (Capsicum annuum L.) crops worldwide, causing blights that can result in substantial yield losses. Traditional control methods often come with environmental concerns or entail substantial time investments. In this research, we investigate an alternative approach involving ferrous sulfate (FeSO4) application to combat P. capsici and promote pepper growth. We found that FeSO4 effectively inhibits the growth of P. capsici in a dose-dependent manner, disrupting mycelial development and diminishing pathogenicity. Importantly, FeSO4 treatment enhances the biomass and resistance of pepper plants, mitigating P. capsici-induced damage. Microbiome analysis demonstrates that FeSO4 significantly influences soil microbial communities, particularly fungi, within the pepper root. Metabolomics data reveal extensive alterations in the redox metabolic processes of P. capsici under FeSO4 treatment, leading to compromised cell membrane permeability and oxidative stress in the pathogen. Our study presents FeSO4 as a promising and cost-effective solution for controlling P. capsici in pepper cultivation while simultaneously promoting plant growth. These findings contribute to a deeper understanding of the intricate interactions between iron, pathogen control, and plant health, offering a potential tool for sustainable pepper production.