Lipids,including fats(triglycerides)and lipoids(phospholipids and sterols),not only serve as an energy source for the body but also play a pivotal role throughout the reproductive process,particularly in the establishment and maintenance of early pregnancy.This encompasses the regulate of early embryonic development and uterine tolerance,and the facilitation of embryo implantation.Given the diversity of lipids,this review focuses on extensively studied lipid mediators such as polyunsaturated fatty acids,endocannabinoids,prostaglandins,lysophosphatidic acid,sphingolipids and steroid hormones.It systematically elaborates on the regulatory effects of fatty acid,phospholipid,and cholesterol metabolism on the formation of endometrial receptivity and embryo implantation,as well as the potential underlying mechanisms.The review aims to provide new insights and feasible intervention approaches for predicting and improving the outcomes of natural pregnancy and/or assisted reproductive technology.

This data article describes the"Typical Regional Activity Patterns"(TRAP)dataset,which is based on the Tackling Key Problems in Air Pollution Control Program.In order to explore the interaction between air pollution and physical activity,we collected activity patterns of 9,221 residents with different occupations and lifestyles for three consecutive days in typical regions(Jinan and Baoding)where air pollutant concentrations were higher than those in neighboring areas.The TRAP dataset consists of two aspects of information:demographic indicators(personal information,occupation,personal habits,and living situation)and physical activity pattern data(activity location and intensity);additionally,the exposure measures of physical activity patterns are included,which data users can match to various endpoints for their specific purpose.This dataset provides evidence for exploring the attributes of activity patterns of residents in northern China and for interdisciplinary researchers to develop strategies and measures for health education and health promotion.

Objective:To carry out cytogenetic and molecular genetic analysis for two infertile patients carrying rare small supernumerary marker chromosomes (sSMC).Methods:Two infertile patients who received reproductive and genetic counseling at CITIC Xiangya Reproductive and Genetic Hospital on October 31, 2018 and May 10, 2021, respectively were selected as the study subjects. The origin of sSMCs was determined by conventional G banding, fluorescence in situ hybridization (FISH) and copy number variation sequencing (CNV-seq). Microdissection combined with high-throughput whole genome sequencing (MicroSeq) was carried out to determine the fragment size and genomic information of their sSMCs. Results:For patient 1, G-banded karyotyping and FISH revealed that he has a karyotype of mos47, XY, del(16)(p10p12), + mar[65]/46, XY, del(16)(p10p12)[6]/48, XY, del(16)(p10p12), + 2mar[3].ish mar(Tel 16p-, Tel 16q-, CEP 16-, WCP 16+ ). CNV analysis has yielded a result of arr[GRCh37]16p12.1p11.2(24999364_33597595)×1[0.25]. MicroSeq revealed that his sSMC has contained the region of chromosome 16 between 24979733 and 34023115 (GRCh37). For patient 2, karyotyping and reverse FISH revealed that she has a karyotype of mos 47, XX, + mar[37]/46, XX[23].rev ish CEN5, and CNV analysis has yielded a result of seq[GRCh37]dup(5)(p12q11.2)chr5: g(45120001_56000000)dup[0.8]. MicroSeq results revealed that her sSMC has contained the region of chromosome 5 between 45132364 and 55967870(GRCh37). After genetic counseling, both couples had opted in vitro fertilization (IVF) treatment and preimplantation genetic testing (PGT). Conclusion:For individuals harboring sSMCs, it is vital to delineate the origin and structural characteristics of the sSMCs for their genetic counseling and reproductive guidance. Preimplantation genetic testing after microdissection combined with high-throughput whole genome sequencing (MicroSeq-PGT) can provide an alternative treatment for carrier couples with a high genetic risk.

ObjectiveTo explore new targets and herbal medicines of total ginsenosides in ameliorating alcoholic hepatitis （AH） by data mining and experimental validation and to provide new directions for the clinical treatment of AH. MethodGSE28619 was selected as the test set from the GEO database and GSE83148 and GSE103580 were selected as the validation sets. The limma package and weighted gene co-expression network analysis （WGCNA） were employed to identify the AH-related differentially expressed genes and modular genes， and Venny was used to extract the common genes. The protein-protein interaction （PPI） network was constructed and the enrichment analysis was carried out. The hub genes were further screened and evaluated for their diagnostic value. After validation with the datasets， new potential targets of AH and traditional Chinese medicine were predicted. Molecular docking between the targets and active ingredients of traditional Chinese medicine was performed， and the results were validated by experiments. Eight out of 48 SD rats were randomly selected into a blank group and received an equal amount of normal saline. The rest rats were subjected to modeling with ethanol by gavage and then randomized into low- （10 mg·kg^-1）， medium- （20 mg·kg^-1）， and high-dose （40 mg·kg^-1） total ginsenosides， model， and positive control （metadoxine， 117 mg·kg^-1） groups. After 3 weeks of gavage， serum samples were collected for the measurement of aspartate aminotransferase （AST） and alanine aminotransferase （ALT） levels， and liver samples were collected for hematoxylin-eosin （HE） staining. Western blot and Real-time PCR were employed to determine the protein and mRNA levels， respectively， of potential targets in the liver tissue. ResultData mining predicted the potential genes： Proto-oncogene FOS and collagen type Ⅰ alpha 2 （COL1A2）. Experimental validation showed that the liver injury was alleviated after drug administration compared with that after modeling. The serum AST and ALT levels were reduced after drug administration. The protein and mRNA levels of FOS were significantly up-regulated， while those of COL1A2 were down-regulated after drug administration. ConclusionTotal ginsenosides ameliorate HA via FOS and COL1A2.

Objective:To investigate the predictive performance of triglyceride and triglyceride glucose (TyG) index in the first trimester for the onset of gestational diabetes mellitus (GDM).Methods:Pregnant women who visited Beijing Chaoyang Maternal and Child Health Care Hospital and Beijing Haidian Maternal and Child Health Care Hospital from 2019 to 2022 were prospectively included. Concurrently, 78 healthy non-pregnant women who visited the Department of Endocrinology of Peking Union Medical College Hospital were included. The clinical characteristics and laboratory biomarkers including fasting blood glucose and blood lipid profiles were collected at the first visit in early pregnancy. Oral glucose tolerance test (OGTT) was performed at 24-28 weeks of gestation for GDM screening. Multivariate Logistic regression analysis was used to determine the association between biomarkers in early pregnancy and the risk of GDM. The receiver operating characteristic curve was used to evaluate the predictive performance and to identify the optimal cut-off value of triglyceride and TyG index in the first trimester for the risk of GDM.Results:A total of 1 677 pregnant women were included in this study, and the prevalence of GDM in our cohort was 19.6%. Compared with women who did not develop GDM, women with GDM showed an older maternal age, higher pre-pregnancy body mass index, and increased levels of laboratory biomarkers including fasting blood glucose, fasting insulin, total cholesterol, triglyceride, low-density lipoprotein cholesterol, TyG index, and Homeostasis Model Assessment of Insulin Resistance ( P<0.001). Logistic regression analysis showed that both triglyceride and TyG index in the first trimester were independent risk factors for GDM. The optimal cut-off values of triglyceride and TyG index for predicting the risk of GDM were 0.93 mmol/L and 8.10, respectively. The predictive performance can be further improved if maternal age and pre-pregnancy BMI are included. Conclusion:Triglyceride and TyG index in early pregnancy are closely associated with the risk of GDM, and can be used as early predictors of GDM.

To understand the pathogenicity,virulence genes,drug resistance genes,and drug resistance of Staphylococcus aureus isolated from yaks in some areas of Lhasa and Nagqu City,55 yak nasal swab samples were analyzed for S.aureus in this study.The cocci were isolated and identified,and the carriage of virulence genes and drug resistance genes,as well as the pathogenicity and drug sensitivity of the isolated S.aureus strains,were detected with PCR,artificially infected mice,and the K-B drug susceptibility disk method.Seven strains of S.aureus were isolated from the 55 yak nasal swab samples,with an iso-lation rate of 12.73％.The isolated strains were all pathogenic to mice,with a fatality rate exceeding 60％.These seven strains of S.aureus carried three drug resistance genes(tetM,tet,and mecA)and six virulence genes(seb,sec,clfA,hla,hlb,and nuc).The detection rate of the three drug resistance genes was 100％,whereas the detection rate of the six virulence genes in the isolates ranged from 83.33％to 100％.The resistance rates of the isolated strains to penicillin,ampicillin,and cotrimox-azole reached 85.71％-100％,whereas the resistance rates to tetracycline and ceftazidime were both 28.57％.Thus,yaks in Lhasa and Nagqu cities were found to be infected by S.aureus strains carrying various drug-resistance genes and virulence genes.These strains were highly pathogenic and showed sensi-tivity to most antibacterial drugs.These findings may serve as a reference for treating S.aureus infection in yaks in the cities of Lhasa and Nagqu.

With the development of molecular pharmacognosy, the advantages of DNA molecular markers in the identification of original plants of Chinese medicinal materials are becoming increasingly significant. To compensate for the limitations of existing markers in the quality supervision of Chinese medicinal materials, our team has independently designed a new molecular marker named DNA signature sequence(DSS). This marker is a nucleotide sequence that only appears in a specific taxonomic unit, with a length of 40 bp and high identification accuracy. This article aims to screen and verify the DSS markers that can accurately identify the original plants of the medicinal materials included in the volume one of the Chinese Pharmacopoeia, establish the operating procedure for developing standard nucleotide sequences, and lay a foundation for the widespread application of polymerase chain reaction in the quality supervision of traditional Chinese medicine. Firstly, the Chloroplast Genome Information Resource(CGIR) was searched for the chloroplast genome sequences of the test samples, species of the same genus, and common background species. IdenDSS was used to obtain the DSS tags and specific identification primers of the tested species. After DNA extraction, PCR amplification, sequencing, and sequence alignments, a total of 203 DSS markers of Chinese medicinal materials were obtained for validation. The above sequences were uploaded to the Traditional Chinese Medicine Molecular Identification Platform(www.herbsdna.com), and a standard DSS library was established for identifying the original plants of medicinal materials, serving as an important tool for quality supervision of Chinese materia medica. On this basis, an operating procedure for DSS development is formed, laying a foundation for further DSS screening and application based on more diverse genome sequences.
Plants, Medicinal/classification* ; DNA, Plant/genetics* ; Drugs, Chinese Herbal ; Pharmacopoeias as Topic ; Genetic Markers ; Medicine, Chinese Traditional

To explore the changes and the reaction mechanisms between soil microecological environment and the content of secon-dary metabolites of plants under water deficit, this study carried out a pot experiment on the 3-leaf stage seedlings of Rheum officinale to analyze their response mechanism under different drought gradients(normal water supply, mild, moderate, and severe drought). The results indicated that the content of flavonoids, phenols, terpenoids, and alkaloids in the root of R. officinale varied greatly under drought stresses. Under mild drought stress, the content of substances mentioned above was comparatively high, and the content of rutin, emodin, gallic acid, and(+)-catechin hydrate in the root significantly increased. The content of rutin, emodin, and gallic acid under severe drought stress was significantly lower than that under normal water supply. The number of species, Shannon diversity index, richness index, and Simpson index of bacteria in the rhizosphere soil were significantly higher than those in blank soil, and the number of microbial species and richness index decreased significantly with the aggravation of drought stresses. In the context of water deficit, Cyanophyta, Firmicutes, Actinobacteria, Chloroflexi, Gemmatimonadetes, Streptomyces, and Actinomyces were the dominant bacteria in the rhizosphere of R. officinale. The relative content of rutin and emodin in the root of R. officinale was positively correlated with the relative abundance of Cyanophyta and Firmicutes, and the relative content of(+)-catechin hydrate and(-)-epicatechin gallate was positively correlated with the relative abundance of Bacteroidetes and Firmicutes. In conclusion, appropriate drought stress can increase the content of secondary metabolites of R. officinale from physiological induction and the increase in the association with beneficial microbe.
Rhizosphere ; Rheum ; Droughts ; Soil ; Catechin ; Emodin ; Bacteria/metabolism* ; Water/metabolism* ; Firmicutes ; Soil Microbiology

OBJECTIVES: To explore a new method for electroencephalography (EEG) background analysis in neonates with hypoxic-ischemic encephalopathy (HIE) and its relationship with clinical grading and head magnetic resonance imaging (MRI) grading. METHODS: A retrospective analysis was performed for the video electroencephalography (vEEG) and amplitude-integrated electroencephalography (aEEG) monitoring data within 24 hours after birth of neonates diagnosed with HIE from January 2016 to August 2022. All items of EEG background analysis were enrolled into an assessment system and were scored according to severity to obtain the total EEG score. The correlations of total EEG score with total MRI score and total Sarnat score (TSS, used to evaluate clinical gradings) were analyzed by Spearman correlation analysis. The total EEG score was compared among the neonates with different clinical gradings and among the neonates with different head MRI gradings. The receiver operating characteristic (ROC) curve and the area under thecurve (AUC) were used to evaluate the value of total EEG score in diagnosing moderate/severe head MRI abnormalities and clinical moderate/severe HIE, which was then compared with the aEEG grading method. RESULTS: A total of 50 neonates with HIE were included. The total EEG score was positively correlated with the total head MRI score and TSS (r_s=0.840 and 0.611 respectively, P<0.001). There were significant differences in the total EEG score between different clinical grading groups and different head MRI grading groups (P<0.05). The total EEG score and the aEEG grading method had an AUC of 0.936 and 0.617 respectively in judging moderate/severe head MRI abnormalities (P<0.01) and an AUC of 0.887 and 0.796 respectively in judging clinical moderate/severe HIE (P>0.05). The total EEG scores of ≤6 points, 7-13 points, and ≥14 points were defined as mild, moderate, and severe EEG abnormalities respectively, which had the best consistency with clinical grading and head MRI grading (P<0.05). CONCLUSIONS The new EEG background scoring method can quantitatively reflect the severity of brain injury and can be used for the judgment of brain function in neonates with HIE.
Infant, Newborn ; Humans ; Hypoxia-Ischemia, Brain/diagnostic imaging* ; Retrospective Studies ; Brain Injuries ; Electroencephalography ; ROC Curve