Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective To investigate the differences in oral and gut microbiota composition among children aged 3-5 years with varying body mass index(BMI)levels in Urumqi,and to provide a scientific basis for early microbiological warning and intervention strategies for childhood obesity.Methods A total of 40 children aged 3-5 years were enrolled.Based on their BMI percentiles,the participants were divided into 4 groups,including the underweight,normal weight,overweight,and obesity groups(n=10 per group).A total of 80 saliva and fecal samples were collected.Microbial community structures were analyzed using 16S rRNA gene sequencing,followed by bioinformatics and statistical analyses.Results Oral microbiota richness,as measured by Chao1 and observed-species indices,differed significantly among the four groups(P=0.004 7 and P=0.005 4,respectively),whereas no significant difference in gut microbiota diversity was observed(P>0.05).Beta diversity analysis revealed a distinct separation in oral microbiota between the normal-weight weight and other groups.At the genus level,obese children exhibited increased abundance in oral Leptotrichia,underweight children showed enrichment of gut Bacteroides,and overweight children showed increased abundance in gut Faecalibacterium and Blautia.Linear discriminant analysis effect size(LEfSe)analysis identified multiple biomarkers,including Prevotellaceae in the oral microbiota of normal-weight children,Catonella in the oral microbiota of obese children,and Clostridiales,Lachnospiraceae,and Hungatella in the gut microbiota of underweight children.Metabolic pathways related to lipopolysaccharide synthesis and amino acid metabolism were significantly upregulated in the microbiota of overweight and obese children.Conclusion Significant differences are observed in the oral and gut microbiota composition among children aged 3-5 years of different BMI levels in Urumqi.Oral microbiota show greater sensitivity to BMI changes.Specific genera,such as Catonella,Leptotrichia,and Prevotellaceae,may be involved in the development of obesity.The microbiota metabolic pathways in children with high BMI are characterized by the core features of inflammation activation and lipid metabolism dysregulation.

Fritillariae Cirrhosae Bulbus is the dried bulb of perennial herbaceous plants in the Fritillaria genus(Liliaceae family) and is a representative traditional Chinese medicinal material with distinctive regional characteristics. Clinically, it is widely used in the treatment of dry cough, bronchial asthma, and other respiratory diseases, possessing significant medicinal and economic value and being highly esteemed in TCM. Currently, Fritillariae Cirrhosae Bulbus primarily relies on wild harvesting. However, due to excessive collection, its wild resources have drastically declined, and all source species have been classified as category Ⅱ in the List of National Key Protected Wild Plants, exacerbating the supply-demand imbalance in the market. To mitigate this issue, large-scale cultivation through the domestication of wild Fritillariae Cirrhosae Bulbus has become an inevitable trend. However, its strict environmental requirements, low propagation efficiency, high seedling mortality, and immature cultivation techniques have severely hindered industrialization. This study investigates the domestication process of Fritillariae Cirrhosae Bulbus, focusing on seed propagation, seedling cultivation, and medicinal material production. It also reviews the species and distribution of wild resources, their endangered status, market supply-demand dynamics, and the historical and current development of domestication. The findings indicate that enhancing propagation efficiency, optimizing cultivation models, and distinguishing between seed propagation and medicinal material production are key measures to accelerate the industrialization of domesticated Fritillariae Cirrhosae Bulbus. This research aims to promote the industrialization of Fritillariae Cirrhosae Bulbus domestication and provide a reference model for the conservation and sustainable utilization of rare and endangered medicinal plant resources.
Fritillaria/chemistry* ; Endangered Species ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/economics* ; China

Objective:To explore the role of metagenomic next-generation sequencing (mNGS) in the diagnosis of pathogens in primary infectious diseases of the spine (IDS) and to reveal its pathogen spectrum.Methods:This is a retrospective multi-center case series study. Clinical data of 380 patients with primary IDS who were treated at four medical centers in China from December 2019 to April 2024 were retrospectively analyzed. Among them, 82 cases were from the Department of Spine Surgery at the Affiliated Hospital of Qingdao University, 129 cases were from the Orthopedics Section Ⅱ (Bone Infection), Public Health Clinical Center Affiliated to Shandong University, 112 cases were from the Department of Spine Surgery, Fuzhou Second General Hospital, and 57 cases were from the Department of Orthopedic Surgery, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. There were 238 males and 242 females, with an age of (61.4±13.1) years (range: 10 to 91 years). Specimens from the site of spinal infection were obtained for pathogen culture, pathological examination, and mNGS detection preoperatively or intraoperatively in all patients. The number, types, and positive rates of pathogens detected by the two methods were analyzed and compared using the Chi-square test.Results:Among the 380 patients, 320 had confirmed pathogenic bacteria, with the highest proportion being pyogenic bacterial infections, accounting for 76.9% (246/320). The most common pathogen was Staphylococcus aureus, accounting for 22.8% (73/320). Brucella accounted for 13.8% (44/320); Mycobacterium tuberculosis accounted for 6.3% (20/320). Fungal infections accounted for 3.4% (11/320), mainly Aspergillus and Candida. In addition, Mycoplasma was detected in 3 cases (0.9%) and Benacox body in 4 cases (1.2%). The pathogen spectrum constructed by mNGS covered 46 types of pathogens, higher than the 22 types detected by traditional methods. The positive rate of mNGS was 80.8% (308/381), significantly higher than the 27.9% (106/381) of traditional methods ( χ2=182.53, P<0.01). Conclusions:mNGS improves the positive rate of pathogen diagnosis in IDS, detecting a broader spectrum of pathogens, and serves as a valuable complement to traditional diagnostic methods. Combining both methods in the diagnosis of IDS can maximize detection rates, providing robust evidence for precise anti-infective treatment.

italic>Lamiophlomis rotata is an important medicinal plant species endemic to the Tibetan Plateau, which is prone to strong climate change impacts on its habitable range due to the high sensitivity of the Tibetan Plateau to climate change. Accurate quantification of species vulnerability to climate change is essential for assessing species extinction risk and developing effective conservation strategies. Therefore, we carried out the α-shape analysis to determine the habitat of L. rotata. We then carried out the climate-niche factor analysis (CNFA) to assess the vulnerability of L. rotata to climate change based on five climate variables (i.e., mean diurnal range, temperature seasonality, mean temperature of warmest quarter, precipitation of driest month and precipitation of warmest quarter) in the context of two shared socioeconomic pathways (i.e., SSP126 and SSP585) and three global climate models (CMCC-ESM2: Centro Euro-Mediterraneo sui Cambiamenti Climatici-Earth System Model version 2; HadGEM3-GC31-LL: Hadley Global Environment Model version 3-Global Coupled configuration 3.1; IPSL-CM6A-LR: Institut Pierre Simon Laplace-Climate Model version 6) during two different periods (2041-2060 and 2081-2100). The vulnerability of L. rotata to climate change was calculated by integrating the sensitivity and exposure indices of L. rotata to five climate variables. The results showed that L. rotata had the highest vulnerability to the precipitation of warmest quarter. Its vulnerability within its habitat range generally showed a spatial pattern of high value in the southern region and low in the northern region, high in the western region and low in the eastern region. In general, the vulnerability of L. rotata under the SSP585 scenario was higher than that under the SSP126 scenario. The climate data of different global climate models have some influence on the results, while the resulted uncertainty can be reduced by data integration methods. As a result of climate change, the pressure on the survival of L. rotata in the future will be intensified in the low-altitude areas such as the Yarlung Zangbo River, Yigongzangbu River, Zayu River, and Jiaomuzu River, etc., while the highly weathered scree flats or stony alpine meadows in the high-altitude zones, such as the eastern Tanggula Mountain Range, the northern part of Hengduan Mountain Range, and the western part of the Qinling Mountains, may become its refuge. It is necessary to focus on and strengthen the protection and management of L. rotata resources in these vulnerble and critical areas.

Objective:To explore the role of metagenomic next-generation sequencing (mNGS) in the diagnosis of pathogens in primary infectious diseases of the spine (IDS) and to reveal its pathogen spectrum.Methods:This is a retrospective multi-center case series study. Clinical data of 380 patients with primary IDS who were treated at four medical centers in China from December 2019 to April 2024 were retrospectively analyzed. Among them, 82 cases were from the Department of Spine Surgery at the Affiliated Hospital of Qingdao University, 129 cases were from the Orthopedics Section Ⅱ (Bone Infection), Public Health Clinical Center Affiliated to Shandong University, 112 cases were from the Department of Spine Surgery, Fuzhou Second General Hospital, and 57 cases were from the Department of Orthopedic Surgery, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. There were 238 males and 242 females, with an age of (61.4±13.1) years (range: 10 to 91 years). Specimens from the site of spinal infection were obtained for pathogen culture, pathological examination, and mNGS detection preoperatively or intraoperatively in all patients. The number, types, and positive rates of pathogens detected by the two methods were analyzed and compared using the Chi-square test.Results:Among the 380 patients, 320 had confirmed pathogenic bacteria, with the highest proportion being pyogenic bacterial infections, accounting for 76.9% (246/320). The most common pathogen was Staphylococcus aureus, accounting for 22.8% (73/320). Brucella accounted for 13.8% (44/320); Mycobacterium tuberculosis accounted for 6.3% (20/320). Fungal infections accounted for 3.4% (11/320), mainly Aspergillus and Candida. In addition, Mycoplasma was detected in 3 cases (0.9%) and Benacox body in 4 cases (1.2%). The pathogen spectrum constructed by mNGS covered 46 types of pathogens, higher than the 22 types detected by traditional methods. The positive rate of mNGS was 80.8% (308/381), significantly higher than the 27.9% (106/381) of traditional methods ( χ2=182.53, P<0.01). Conclusions:mNGS improves the positive rate of pathogen diagnosis in IDS, detecting a broader spectrum of pathogens, and serves as a valuable complement to traditional diagnostic methods. Combining both methods in the diagnosis of IDS can maximize detection rates, providing robust evidence for precise anti-infective treatment.

Objective To investigate the effects of intrauterine perfusion with granulocyte colony-stimulating factor(G-CSF)on the endometrial thickness,volume,and blood flow parameters of patients with thin endometrium and their clinical outcomes.Methods We designed a prospective non-randomized synchronous controlled trial and recruited patients with thin endometrium who underwent frozen-thawed embryo transfer(FET)at Mianyang Central Hospital between September 1,2021 and September 1,2023.They were divided into two groups,an experimental group of patients who received the experimental treatment of intrauterine perfusion with G-CSF and a control group of patients who did not receive the experimental treatment.The general data and the clinical outcomes of the two groups were analyzed and compared.The endometrial thickness,volume and blood flow parameters of patients in the experimental group before and after intrauterine perfusion with G-CSF were analyzed.Results The clinical data of 83 patients were included in the study.The experimental group included 51 cases,while the control group included 31 cases.There were no significant differences in the baseline data between the two groups.The clinical pregnancy rate of the experimental group(56.86% )was higher than that of the control group(50.00% )and the rate of spontaneous abortion in the experimental group(27.59% )was lower than that in the control group(37.50% ),but the differences were not statistically significant(P>0.05).In the experimental group,the postperfusion endometrial thickness([0.67±0.1]cm)was greater than the preperfusion endometrial thickness([0.59±0.09]cm),the postperfusion([1.84±0.81]cm3)was greater than the preperfusion endometrial volume([1.54±0.69]cm3),and the postperfusion vascularization flow index(VFI)(1.97±2.82)was greater than the preperfusion VFI(0.99±1.04),with all the differences being statistically significant(P<0.05).Conclusion Intrauterine perfusion with G-CSF can enhance the endometrial thickness,volume,and some blood flow parameters in patients with thin endometrium.

OBJECTIVES: To establish an efficient and clinically applicable predictive model and scoring system for central precocious puberty (CPP) in girls, and to develop a diagnostic prediction application. METHODS: A total of 342 girls aged 4 to 9 years with precocious puberty were included, comprising 216 cases of CPP and 126 cases of isolated premature thelarche. Lasso regression was used to screen for predictive factors, and logistic regression was employed to establish the predictive model. Additionally, a scoring system was constructed using the evidence weight binning method. Data from 129 girls aged 4 to 9 years with precocious puberty were collected for external validation of the scoring system. RESULTS: The logistic regression model incorporated five predictive factors: age, insulin-like growth factor-1 (IGF-1), serum follicle-stimulating hormone (FSH), the luteinizing hormone (LH)/FSH baseline ratio, and uterine thickness. The calculation formula was: ln(P/1-P)=-8.439 + 0.216 × age (years) + 0.008 × IGF-1 (ng/mL) + 0.159 × FSH (mIU/mL) + 9.779 × LH/FSH baseline ratio + 0.284 × uterine thickness (mm). This model demonstrated good discriminative ability (area under the curve=0.892) and calibration (Hosmer-Lemeshow test P>0.05). The scoring system based on this logistic regression model showed good discrimination in both the prediction model and external validation datasets, with areas under the curve of 0.895 and 0.805, respectively. Based on scoring system scores, the population was stratified into three risk levels: high, medium, and low. In the high-risk group, the prevalence of CPP exceeded 90%, while the proportion was lower in the medium and low-risk groups. CONCLUSIONS The CPP diagnostic predictive model established for girls aged 4 to 9 years exhibits good diagnostic performance. The scoring system can effectively and rapidly stratify the risk of CPP, providing valuable reference for clinical decision-making.
Humans ; Puberty, Precocious/diagnosis* ; Female ; Child, Preschool ; Child ; Follicle Stimulating Hormone/blood* ; Insulin-Like Growth Factor I/analysis* ; Luteinizing Hormone/blood* ; Logistic Models

OBJECTIVE: To compare the efficacy of plerixafor (PXF) combined with granulocyte colony-stimulating factor (G-CSF) (PXF+G-CSF) and cyclophosphamide (Cy) combined with G-CSF (Cy+G-CSF) in the mobilization of peripheral blood stem cells (PBSCs) in patients with multiple myeloma (MM). METHODS: The clinical data of 41 MM patients who underwent PBSC mobilization using PXF+G-CSF (18 cases) or Cy+G-CSF (23 cases) in Shanxi Bethune Hospital from January 2019 to December 2021 were retrospectively analyzed, including the count of collected CD34⁺ cells, acquisition success rate, failure rate, and optimal rate. The correlation of sex, age, disease type, DS staging, ISS staging, number of chemotherapy cycle, disease status before mobilization, and mobilization regimen with the collection results was analyzed, and the adverse reactions, length of hospital stay, and hospitalization costs were compared between the two mobilization regimens. RESULTS: The 41 patients underwent 97 mobilization collections, and the median number of CD34⁺ cells collected was 6.09 (0-34.07)×10⁶/kg. The acquisition success rate, optimal rate, and failure rate was 90.2%, 56.1%, and 9.8%, respectively. Univariate analysis showed that sex, age, disease type, and disease stage had no significant correlation with the number of CD34⁺ cells collected and acquisition success rate (P >0.05), but the patients with better disease remission than partial remission before mobilization were more likely to obtain higher CD34⁺ cell count (P <0.05). The PXF+G-CSF group had a larger number of CD34⁺ cells and higher acquisition success rate in the first collection than Cy+G-CSF group (both P <0.05), and had lower infection risk and shorter length of hospital stay during mobilization (both P <0.05), but the economic burden increased (P <0.05). CONCLUSION PXF+G-CSF used for PBSC mobilization in MM patients has high first acquisition success rate, large number of CD34⁺ cells, less number of collection times, and short length of hospital stay, but the economic cost is heavy.
Humans ; Antigens, CD34/metabolism* ; Cyclophosphamide/therapeutic use* ; Granulocyte Colony-Stimulating Factor/therapeutic use* ; Hematopoietic Stem Cell Mobilization/methods* ; Hematopoietic Stem Cell Transplantation ; Heterocyclic Compounds/therapeutic use* ; Multiple Myeloma/drug therapy* ; Peripheral Blood Stem Cells/metabolism* ; Retrospective Studies

OBJECTIVE: To investigate the role of multiple serological methods in the identification of complex antibodies. METHODS: The blood group antigens were detected by saline and microcolumn agglutination methods. The saline method was used to screen and identify IgM-type antibodies in the patient's serum, while the polybrene, anti-globulin, microcolumn agglutination, enzymic and absorption-elution methods were used to screen and identify IgG-type antibodies. RESULTS: The patient was B/CCDee/Jk(a-b+)/Fy(a-b+) blood type. The serum reacted with panel cells, and the reaction presented anti-E pattern in the saline medium. It was fully positive in the microcolumn agglutination card, except 2 negative ones after using papain to treat the panel cells. Referring to the pattern table, it was concluded that there existed anti-c, anti-E, and anti-Jk^a antibodies, and one antibody corresponding to an antigen that was easily destroyed by papain. The red blood cells with specific phenotype were selected for absorption-elution to identify IgG-type anti-c, anti-E, anti-Jk^a and anti-Fy^a antibodies. CONCLUSION It is confirmed that IgM-type anti-E, and IgG-type anti-c, anti-E, anti-Jk^a and anti-Fy^a antibodies exist in the patient's serum by multiple serological methods.
Humans ; Papain ; Blood Group Antigens ; Erythrocytes ; Immunoglobulin G ; Immunoglobulin M