ObjectiveThis study aims to explore the potential of different orders of magnitude single-nucleotide polymorphism (SNP) locus combinations for predicting distant kinship relationships. A high-density SNP locus set was constructed, and a comprehensive assessment of its inference capability was conducted. MethodsFirstly, we selected three commercial chip panels, CGA (Chinese genotyping array, Illumina), GSA (Global screening array, Illumina), Affy (23MF_V2 high-density SNP array, Affymetrix) and merged them after quality control, forming a high-density SNP locus panel(1 180 k). Secondly, we selected 161 samples and collected their peripheral blood samples by using whole-genome sequencing technology. Within this sample population, the levels of kinship relationships fully covered the range from level 1 to level 9, and the number of kinship pairs at each level was consistently maintained at over 50 pairs. From 161 samples data of whole-genome sequencing, the 1 180 k locus set was extracted, which is referred to as the high-density SNP locus set in the following text. The kinship inference was conducted using the identity-by-descent (IBD) algorithm with the selected optimal parameters. To comprehensively evaluate the performance of the high-density SNP locus set in kinship inference, we compared it with the three commercial chip panels, the intersection of these three chip loci, and the control sets constructed by randomly reducing the number of the high-density SNP locus set. Based on the changes in the IBD lengths, as well as the dynamic trends in prediction accuracy, we conducted a scientific assessment of the kinship inference capability of the high-density SNP locus set. ResultsAfter screening, a set of 1 184 334 autosomal SNPs was obtained. During the process of screening the optimal IBD length threshold, the result revealed that 0 cM, 1 cM, and 2 cM all demonstrated good applicability. However, to avoid the issue of a large amount of redundant information caused by setting a too low IBD length threshold, this study ultimately selected 2 cM as the optimal threshold. Compared with the average results of three chip panels, the high-density SNP locus set increased the total IBD length and the average IBD length across levels 1-9; the accuracy of the confidence interval for level 8 was 70.97%, which represented a 3.50% improvement; the average confidence interval accuracy for levels 1-8 was 91.39%, representing a 1.00% increase; and the false negative rates at levels 8 and 9 were reduced by 2.42% and 6.76%, respectively. The system efficacy of the high-density SNP locus set for kinship inference of first to eighth degree relationships reached 98.91%. Through random reduction of the high-density SNP locus set results, it is found that increasing the number of SNPs with the panel, the detection efficiency of IBD length showed a significant upward trend. At the same time, the overall trend in the accuracy of kinship relationship prediction as well as the confidence interval accuracy also indicated that both metrics steadily increased with the addition of more loci. ConclusionThe results show that the high-density SNPs panel significantly enhances the efficacy of distant kinship inference, accurately covering kinship degrees, with the average confidence interval accuracy for first to eighth degree relationships stably above 90%. The study finds that increasing the number of SNPs panel can improve the ability to predict distant kinship.

BACKGROUND:Extracellular vesicles mediate intercellular signal transduction through the proteins,nucleic acids,and lipids they carry,thereby influencing the function of target cells.This vesicle-mediated communication mechanism is involved in regulating female reproductive development.OBJECTIVE:To summarize and analyze the regulatory roles of extracellular vesicle-mediated intercellular communication in female reproductive development.METHODS:A search was conducted in the PubMed database using the search terms"extracellular vesicles,exosomes,reproduction,maternal-embryo communication,maternal-fetal crosstalk,embryo implantation,endometrium,oviduct,follicle."The initial screening was carried out by reading the titles and abstracts of the literature,and then the literature with poor relevance to the research purpose,outdated content,and duplication was excluded according to the inclusion and exclusion criteria.Ultimately,69 relevant articles were included for comprehensive analysis.RESULTS AND CONCLUSION:Extracellular vesicles play a crucial role in key processes of female reproductive development,from folliculogenesis to implantation.(1)Extracellular vesicles mediate intercellular communication within the follicle,particularly the interactions between oocytes and follicular cells,which are essential for follicle development and maturation.(2)Extracellular vesicles and their contents facilitate interactions between the embryo and the fallopian tube,influencing the trajectory of embryonic development.(3)Extracellular vesicles and their contents promote implantation by mediating bidirectional communication between the embryo and the endometrium.Uterine-derived extracellular vesicles regulate processes such as embryo adhesion,invasion,and decidualization,while embryo-derived extracellular vesicles modulate endometrial receptivity,convey embryonic signals,and adjust the endometrial microenvironment.Studying the roles of extracellular vesicles in female reproductive development can provide valuable insights into the mechanisms of infertility and support the development of new therapeutic strategies.

BACKGROUND:Extracellular vesicles mediate intercellular signal transduction through the proteins,nucleic acids,and lipids they carry,thereby influencing the function of target cells.This vesicle-mediated communication mechanism is involved in regulating female reproductive development.OBJECTIVE:To summarize and analyze the regulatory roles of extracellular vesicle-mediated intercellular communication in female reproductive development.METHODS:A search was conducted in the PubMed database using the search terms"extracellular vesicles,exosomes,reproduction,maternal-embryo communication,maternal-fetal crosstalk,embryo implantation,endometrium,oviduct,follicle."The initial screening was carried out by reading the titles and abstracts of the literature,and then the literature with poor relevance to the research purpose,outdated content,and duplication was excluded according to the inclusion and exclusion criteria.Ultimately,69 relevant articles were included for comprehensive analysis.RESULTS AND CONCLUSION:Extracellular vesicles play a crucial role in key processes of female reproductive development,from folliculogenesis to implantation.(1)Extracellular vesicles mediate intercellular communication within the follicle,particularly the interactions between oocytes and follicular cells,which are essential for follicle development and maturation.(2)Extracellular vesicles and their contents facilitate interactions between the embryo and the fallopian tube,influencing the trajectory of embryonic development.(3)Extracellular vesicles and their contents promote implantation by mediating bidirectional communication between the embryo and the endometrium.Uterine-derived extracellular vesicles regulate processes such as embryo adhesion,invasion,and decidualization,while embryo-derived extracellular vesicles modulate endometrial receptivity,convey embryonic signals,and adjust the endometrial microenvironment.Studying the roles of extracellular vesicles in female reproductive development can provide valuable insights into the mechanisms of infertility and support the development of new therapeutic strategies.

BACKGROUND: T-cell lymphoblastic lymphoma/acute lymphoblastic leukemia (T-LBL/ALL) is an aggressive form of hematological malignancy associated with poor prognosis in adult patients. Histone deacetylases (HDACs) are aberrantly expressed in T-LBL/ALL and are considered potential therapeutic targets. Here, we investigated the antitumor effect of a novel HDAC inhibitor, chidamide, on T-LBL/ALL. METHODS: HDAC1, HDAC2 and HDAC3 levels in T-LBL/ALL cell lines and patient samples were compared with those in normal controls. Flow cytometry, transmission electron microscopy, and lactate dehydrogenase release assays were conducted in Jurkat and MOLT-4 cells to assess apoptosis and pyroptosis. A specific forkhead box O1 (FOXO1) inhibitor was used to rescue pyroptosis and upregulated gasdermin E (GSDME) expression caused by chidamide treatment. The role of the FOXO1 transcription factor was evaluated by dual-luciferase reporter and chromatin immunoprecipitation assays. The efficacy of chidamide in vivo was evaluated in a xenograft mouse. RESULTS: The expression of HDAC1, HDAC2 and HDAC3 was significantly upregulated in T-LBL/ALL. Cell viability was obviously inhibited after chidamide treatment. Pyroptosis, characterized by cell swelling, pore formation on the plasma membrane and lactate dehydrogenase leakage, was identified as a new mechanism of chidamide treatment. Chidamide triggered pyroptosis through caspase 3 activation and GSDME transcriptional upregulation. Chromatin immunoprecipitation assays confirmed that chidamide led to the increased transcription of GSDME through a more relaxed chromatin structure at the promoter and the upregulation of FOXO1 expression. Moreover, we identified the therapeutic effect of chidamide in vivo . CONCLUSIONS This study suggested that chidamide exerts an antitumor effect on T-LBL/ALL and promotes a more inflammatory form of cell death via the FOXO1/GSDME axis, which provides a novel choice of targeted therapy for patients with T-LBL/ALL.
Humans ; Pyroptosis/drug effects* ; Forkhead Box Protein O1/genetics* ; Aminopyridines/pharmacology* ; Animals ; Mice ; Benzamides/pharmacology* ; Cell Line, Tumor ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/drug therapy* ; Phosphate-Binding Proteins/metabolism* ; Histone Deacetylase Inhibitors/pharmacology* ; Jurkat Cells ; Histone Deacetylases/metabolism* ; Apoptosis/drug effects* ; Gasdermins

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Six compounds were isolated from the ethyl acetate fraction of Citri Sarcodactylis Fructus by using various column chromatographic methods, such as MCI Gel CHP-20, ODS, Sephadex LH-20, silica gel and semipreparative HPLC. Their structures were identified to be citrusin G (1), citrusin H (2), citrusin E (3), syringin (4), coniferin (5), methylconiferin (6) by NMR, HR-ESI-MS, UV, IR spectra. Compounds 1 and 2 were new secondary metabolism products and 3-6 were obtained from the titled material for the first time. Compound 1 showed anti-renal fibrosis activity in TGF-β1-induced kidney proximal tubular cells.

OBJECTIVE: To observe the clinical efficacy of 3D printing spinal external fixator combined with McKenzie therapy for patients with lumbar dics herniation (LDH). METHODS: Sixty patients with LDH between January 2022 and January 2023 were enrolled. Among them, 30 patients were given McKinsey training. According to different treatment methods, all patients were divided into McKenzie group and McKenzie + 3D printing group, 30 patients in each group. The McKenzie group provided McKenzie therapy. The McKenzie + 3D printing group were treated with 3D printing spinal external fixation brace on the basis of McKenzie therapy. Patients in both groups were between 25 and 60 years of age and had their first illness. In the McKenzie group, there were 19 males and 11 females, with an average age of (48.57±5.86) years old, and the disease duration was (7.03 ±2.39) months. The McKenzie + 3D printing group, there were 21 males and 9 females, with an average age of (48.80±5.92) years old, and the disease duration was(7.30±2.56) months. Pain was evaluated using the visual analogue scale (VAS), and lumbar spine function was assessed using the Oswestry disability index (ODI) and the Japanese Orthopaedic Association (JOA) score. VAS, ODI and JOA scores were compared between two groups before treatment and at 1, 3, 6, 9 and 12 months after treatment. RESULTS: All patients were followed up for 12 months. The VAS for the McKenzie combined with 3D printing group before treatment and at 1, 3, 6, 9, and 12 months post-treatment were(6.533±0.860), (5.133±1.008), (3.933±0.868), (2.900±0.759), (2.067±0.640), (1.433±0.504), respectively. In the McKenzie group, the corresponding scores were (6.467±0.860), (5.067±1.048), (4.600±0.968), (3.533±1.008), (2.567±0.728), (1.967±0.809), respectively. The ODI of the McKenzie group before treatment and at 1, 3, 6, 9, and 12 months post-treatment were (41.033±6.810)%, (37.933±6.209)%, (35.467±6.962)%, (27.567±10.081)%, (20.800±7.531)%, (13.533±5.158)%, respectively. For the McKenzie combined with 3D printing group, the corresponding ODI were(38.033±5.605)%, (33.000±6.192)%, (28.767±7.045)%, (22.200±5.517)%, (17.700±4.836)%, (11.900±2.771)%, respectively. The JOA scores of the McKenzie combined with 3D printing group before treatment and at 1, 3, 6, 9, and 12 months post-treatment were(8.900±2.074), (13.133±2.330), (15.700±3.583), (20.400±3.480), (22.267±3.084), (24.833±2.640), respectively. In the McKenzie group, the corresponding scores were(9.200±2.091), (12.267±2.406), (15.333±3.198), (18.467±2.240), (20.133±2.751), (22.467±2.849), respectively. Before the initiation of treatment, no statistically significant differences were observed in the VAS, ODI, and JOA scores between two groups (P>0.05). At 3, 6, 9, and 12 months post-treatment, the VAS in the McKenzie combined with 3D printing group was significantly lower than that in the McKenzie group, and the difference was statistically significant (P<0.05). The comparison of ODI between two groups at 1, 3, 6, 9, and 12 months post-treatment revealed statistically significant differences (P<0.05). At 6, 9, and 12 months post-treatment, the JOA score in the McKenzie combined with 3D printing group was significantly higher than that in the McKenzie-only group, and the difference was statistically significant (P<0.05). CONCLUSION The combination of 3D printed functional spinal external fixation brace with McKenzie therapy can significantly improve and maintain lumbar function in patients with LDH.
Humans ; Male ; Female ; Middle Aged ; Printing, Three-Dimensional ; Intervertebral Disc Displacement/surgery* ; External Fixators ; Lumbar Vertebrae/surgery* ; Adult ; Braces ; Treatment Outcome

Specific learning disorder (SLD) is a common neurodevelopmental disorder in children that significantly affects academic performance and quality of life. At present, diagnosis mainly relies on standardized tests and professional evaluations, a process that is complex and time-consuming. Multiple studies have shown that machine learning can analyze diverse data, including test scores, handwriting samples, eye movement data, neuroimaging data, and genetic data, to automatically learn the relationships between input features and output labels and achieve efficient prediction. It shows great potential for early screening, auxiliary diagnosis, and research on underlying mechanisms in SLD. This article reviews the applications of machine learning in the auxiliary diagnosis of SLD and discusses its performance when handling different data types.
Humans ; Machine Learning ; Specific Learning Disorder/diagnosis* ; Child

Objective:To analyze the clinical characteristics of malignant lymphoma of the head and neck in children, and to improve the understanding and diagnosis and treatment of this type of disease by otolaryngologists. Methods:Clinical data of 49 children with malignant lymphoma of the head and neck hospitalized in the Department of Otorhinolaryngology, Head and Neck Surgery of Kunming Children's Hospital from 2013-2021 were retrospectively analyzed and statistically analyzed according to gender, age distribution, duration of the disease, site of onset, type of pathology and survival status. Results:A total of 49 cases of malignant lymphoma of the head and neck in children were collected, of which, 39 were male and 10 female. The minimum age was 3 years, the maximum was 14 years and 4 months, the median age of onset was 7 years, and the largest percentage （51.02%） of children was in the school age（6-12 years）. The duration of the disease ranged from 5 days to 2 years, with a median of 1 month, and the site of the lesion was located in the neck in the majority of cases, 41（83.67%）. The pathologic types of hodgkin lymphoma（HL） were 25 cases（51.02%） and non-hodgkin lymphoma（NHL） were 24 cases（48.98%）, and among hodgkin lymphomas, mixed-cell classical hodgkin lymphoma was the most common, with 9 cases（18.37%）; among non-hodgkin lymphomas,originated from B-cells in 16 cases （32.65%） and from T-cells in 7 cases （14.29%）, with Burkitt's lymphoma being the most numerous of B-cell origin in 13 cases （26.53%）, and T-cell lymphoblastoid lymphoma being the most common of T-cell origin in 4 cases （8.16%）. The follow-up period was from 22 days to 6 years and 10 months, with 3 cases losing, 43 cases surviving, 3 cases dying, with a survival rate of 93 5%, and 3 cases relapsing, with a relapse rate of 6 5%. Conclusion:Children's head and neck malignant lymphoma has its own characteristics in terms of age of onset, gender distribution, site of onset, pathological type and treatment prognosis, which should be comprehensively assessed, diagnosed as early as possible, and multidisciplinary joint treatment actively carried out to propose personalized treatment plans.
Humans ; Male ; Female ; Child ; Head and Neck Neoplasms/therapy* ; Child, Preschool ; Retrospective Studies ; Adolescent ; Lymphoma/therapy* ; Survival Rate ; Hodgkin Disease ; Prognosis ; Infant ; Lymphoma, Non-Hodgkin

Colonic mucosal healing is the ultimate goal of ulcerative colitis (UC) treatment, but it remains difficult to realize. Given the higher incidence of UC in males and the beneficial effect of estrogen on UC, we conducted this study to examine the therapeutic potential of estrogen receptor β (ERβ), the primary ER subtype in colon, on mucosal healing in UC. Our study is the first to report that ERβ activation degree was positively correlated with mucosal healing in patients with UC. Furthermore, ERβ activation enhanced mucosal healing in mice with dextran sulfate sodium-induced and biopsy-induced colonic injuries. Mechanistically, ERβ activation promoted autophagy of colonic epithelial cells by inhibiting branched-chain amino acid transport, leading to focal adhesion kinase (FAK) activation. Activated FAK promoted focal adhesion turnover and colonic epithelial cell migration, ultimately facilitating mucosal healing. ERβ ^-/- colitis mice exhibited impaired mucosal healing compared to wild-type littermates, highlighting the crucial effect of ERβ. Importantly, combination with ERβ-agonist diarylpropionitrile enhanced the amelioration of 5-aminosalicylic acid, a standard UC treatment agent, against mouse colitis. These findings attest to the crucial role of ERβ activation in colonic mucosal healing and may further inform the development of novel strategies for UC treatment.