OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Humans ; Joint Dislocations/surgery* ; Spinal Fractures/surgery* ; Anesthesia, General ; Cervical Vertebrae/injuries* ; Spinal Fusion

The study aims to investigate the mechanism of Fengshining fecal microbiota transplants in the intervention of rheumatoid arthritis by ultra-performance liquid chromatography-quadrupole/electrostatic field obitrap high-resolution mass spectrometry (UHPLC-Q-Exactive Orbitrap-MS). All animal welfare and experimental procedures followed the regulations of the Medical Ethics Committee of Shanxi University of Chinese medicine. The rats were randomly divided into normal group, model group, fecal microbiota transplantation group and Tripterygium wilfordii polyglycoside group, and the collagen induced arthritis (CIA) was established. The changes of body weight and metatarpodal lesions of rats were evaluated. The serum of rats in each group was analyzed by liquid chromatography-mass spectrometry and metagenomic technology for differential metabolites and microflora. The protein expression levels of Toll-like receptors (TLR4), myeloid differentiation factor 88 (MyD88) and nuclear factor of kappa B (NF-κB p65) were detected by Western blot. A total of 13 different metabolites, including arachidonic acid, docosahexaenoic acid, 13S-hydroxyoctadecanodienoic acid and L-phenylalanine were screened from serum. Three metabolic pathways, including phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and arachidonic acid metabolism were identified through pathway enrichment. Metagenomic analysis showed that the abundance of g_Bacteroides, g_Prevotella and p_Actinobacteria in CIA group was higher. The abundance of c_Clostridia, g_Akkermansia and s_Akkermansia_muciniphila in fecal microbiota transplantation group is higher. The hierarchical cluster heat map showed that Akkermansia was negatively correlated with L-phenylalanine; while positively correlated with docosahexaenoic acid. Prevotella was positively correlated with L-phenylalanine. Fecal microbiota transplantation group could significantly inhibit the expression of TLR4, MyD88 and p65 proteins in the synovium of rats (P < 0.01). The anti-rheumatoid arthritis effects of fecal microbiota transplantation group is closely related to the intervention of the metabolism of phenylalanine and arachidonic acid, through Akkermansia, Prevotella and other microorganisms, inhibition the TLR4/MyD88/NF-κB pathway.

Human hormones at trace levels play a vital role in the regulation of a variety of functions and systems in the body, and an imbalance in hormone levels can lead to the emergence and development of diverse diseases. Therefore, the development of reliable sample pretreatment methods and sensitive and accurate analytical techniques for human hormone detection could contribute to the prevention, diagnosis and treatment of diseases, providing significant improvement for human health. Human samples which are usually used to detecting hormones, such as blood, saliva, urine and other matrix are more complex, so sample pretreatment is an important step to ensure the accuracy and reliability in the detection of hormones. In this review three common sample pretreatment methods including solid phase extraction (SPE), liquid-liquid extraction (LLE) and protein precipitation (PP) methods are discussed. Then, recent research progress in conventional techniques like liquid/gas chromatography and liquid/gas chromatography-mass spectrometry (LC/GC-MS/MS), as well as some novel strategies, such as immunoassay including chemiluminescence immunoassay (CLIA), lateral-flow immunoassay (LFIA) and time-resolved fluoroimmunoassay (TRFIA), and sensor technology including electrochemical (EC), fluorescent (FL) and surface-enhanced Raman scattering (SERS) sensors, and microfluidic chip analysis are discussed for human hormone detection. Finally, the future perspective on the use of these methods for hormone detection is considered. It is hoped to provide powerful insights to researchers for the relevant researches.

Aim To observe the effect of epimedium on the proliferation and stem cell-like character expression of breast cancer cells, and investigate the relationship between the inhibition of stem cell-like character and miR-148a by epimedium, and its molecular mechanism. Methods After treatment with different concentrations of epimedium, cell viability and population dependence were detected by MTT assay and colony formation assay; the breast cancer stem cell-derived mammosphere formation was examined by Mammosphere assay; the expression levels of CD44,ALDH-1, Oct4,BMIl and EpCAM were detected by qPCR; the protein expression levels of EpCAM, SOX4, ZO-1, E-cadherin and vimentin were detected by Western blot; the protein localization of EpCAM was observed by im-munofluorescence assay; the effect of epimedium on migration was detected by wound healing assay. The miR-148a mimic was transfected into MDA-MB-231 cells, and the effects of epimedium on stem-like character expression of transfected MDA-MB-231 cells were observed. Results Epimedium significantly inhibited the proliferation and population dependence of MDA-MB-231 cells (P < 0.05 ), and reduced the breast cancer stem cell-derived mammosphere formation; compared with control group, epimedium significantly decreased mRNA levels of CD44, ALDH-1, Oct4, BMI1 and EpCAM (P <0.05) ,decreased protein contents of EpCAM, SOX4 and Vimentin (P < 0.05 ), up-regulated the protein expression of ZO-1 and e-cadherin ( P <0.05) ,and decreased the migration ability of MDA-MB-231 cells (P < 0.05). Epimedium up-regulated the expression of miR-148a in MDA-MB-231 cells (P <0.01). YYH + miR-148a mimic group significantly inhibited stem-like character expression and EMT process of breast cancer MDA-MB-231 cells compared with control group (P <0.05). Conclusions Epimedium can inhibit the proliferation of MDA-MB-231 cells, which may be related to the up-regulation of miR-148a, decrease of stem-like character expression of breast cancer cells,and inhibition of EMT.

Objectives: To find the prognostic factors related to early triple-negative breast cancer to optimize the therapeutic strategies, and explore the influence of programmed cell death ligand-1(PD-L1)expression in early triple-negative breast cancer on its prognosis, so as to provide support for clinical treatment decisions. Methods: Early triple-negative breast cancer patients treated at the National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences during 1st June, 2009 and 31st Oct, 2015 were enrolled in this study. All the clinicopathological data of patients were collected, and the paraffin sections of the surgical specimens were stained with estrogen receptor, progesterone receptor, human epidermal growth factor receptor-2, secreted protein acidic and rich in cysteine (SPARC), androgen receptor, PD-L1 and other antibodies by the immunohistochemical method. Kaplan-Meier survival and Cox regression curves were used for survival analysis of relevant clinical and pathological results and nomogram survival prediction models were established to explore the influence of relevant factors on the prognosis. Results: A total of 205 patients with triple-negative breast cancer were enrolled. Ninety patients (43.9%) were PD-L1 positive. The median follow-up time was 63 months. Thirty-seven patients were relapsed or recurrent and 16 patients were dead. The 5-year disease-free survival (DFS) rate and overall survival (OS) rate were 86.1% (95% CI: 81.4%-90.8%) and 93.6% (95% CI: 91.0%-97.6%), respectively, in the general population. Univariate Cox regression analysis showed that PD-L1 expression and lymph node metastasis were correlated with DFS and OS (P<0.05). In multivariate analysis, PD-L1 expression was an independent influencing factor of DFS, with PD-L1 positive patients possessing a significant survival benefit in DFS (HR=0.31, 95% CI: 0.13-0.73). Lymph node metastasis was an independent influencing factor of OS, and OS was significantly shortened in patients with positive lymph node metastasis (HR=3.24, 95% CI: 1.15-9.17). PD-L1, lymph node metastasis, menopausal status, Ki-67 index and adjuvant chemotherapy regimen were included to establish the 1- and 3-year DFS and OS nomogram prediction models, resulting in C indices of 0.698 and 0.748, respectively. Conclusions: PD-L1 expression is a predictive biomarker of good prognostic factor in triple-negative breast cancer patients. DFS is significantly prolonged in PD-L1 positive patients and OS also shows a prolongation trend. The nomogram prognosis prediction models have reference values for adjuvant chemotherapy in this patient group.
Humans ; Female ; Lymphatic Metastasis ; B7-H1 Antigen/metabolism* ; Triple Negative Breast Neoplasms/pathology* ; Breast Neoplasms ; Osteonectin/therapeutic use* ; Prognosis

Objectives: To find the prognostic factors related to early triple-negative breast cancer to optimize the therapeutic strategies, and explore the influence of programmed cell death ligand-1(PD-L1)expression in early triple-negative breast cancer on its prognosis, so as to provide support for clinical treatment decisions. Methods: Early triple-negative breast cancer patients treated at the National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences during 1st June, 2009 and 31st Oct, 2015 were enrolled in this study. All the clinicopathological data of patients were collected, and the paraffin sections of the surgical specimens were stained with estrogen receptor, progesterone receptor, human epidermal growth factor receptor-2, secreted protein acidic and rich in cysteine (SPARC), androgen receptor, PD-L1 and other antibodies by the immunohistochemical method. Kaplan-Meier survival and Cox regression curves were used for survival analysis of relevant clinical and pathological results and nomogram survival prediction models were established to explore the influence of relevant factors on the prognosis. Results: A total of 205 patients with triple-negative breast cancer were enrolled. Ninety patients (43.9%) were PD-L1 positive. The median follow-up time was 63 months. Thirty-seven patients were relapsed or recurrent and 16 patients were dead. The 5-year disease-free survival (DFS) rate and overall survival (OS) rate were 86.1% (95% CI: 81.4%-90.8%) and 93.6% (95% CI: 91.0%-97.6%), respectively, in the general population. Univariate Cox regression analysis showed that PD-L1 expression and lymph node metastasis were correlated with DFS and OS (P<0.05). In multivariate analysis, PD-L1 expression was an independent influencing factor of DFS, with PD-L1 positive patients possessing a significant survival benefit in DFS (HR=0.31, 95% CI: 0.13-0.73). Lymph node metastasis was an independent influencing factor of OS, and OS was significantly shortened in patients with positive lymph node metastasis (HR=3.24, 95% CI: 1.15-9.17). PD-L1, lymph node metastasis, menopausal status, Ki-67 index and adjuvant chemotherapy regimen were included to establish the 1- and 3-year DFS and OS nomogram prediction models, resulting in C indices of 0.698 and 0.748, respectively. Conclusions: PD-L1 expression is a predictive biomarker of good prognostic factor in triple-negative breast cancer patients. DFS is significantly prolonged in PD-L1 positive patients and OS also shows a prolongation trend. The nomogram prognosis prediction models have reference values for adjuvant chemotherapy in this patient group.
Humans ; Female ; Lymphatic Metastasis ; B7-H1 Antigen/metabolism* ; Triple Negative Breast Neoplasms/pathology* ; Breast Neoplasms ; Osteonectin/therapeutic use* ; Prognosis

Objective:To explore the establishment and effect of short-term training path for prenatal ultrasound diagnosticians in primary hospitals.Methods:A total of 105 trainees from in total 5 batches of the "prenatal ultrasound screening training base" in Chongqing were selected as the research objects, and a combination of multiple teaching methods was used to carry out specialized training for primary prenatal ultrasound screening doctors before and after training. Theoretical examinations and practical operation assessments were performed, and after training, remote image quality control and continuous improvement methods were established for trainees to assess training effectiveness. SPSS 21.0 was used for t test, Wilcoxon test and chi-square test. Results:After training, the results of the theoretical examinations and practical operation examinations of the trainees were higher than those before the training ( P<0.05), and after the completion of the training, the number of trainees who returned to their original units to carry out prenatal ultrasound examination, the average number of prenatal ultrasound examinations per month and the number of referrals to higher prenatal diagnosis centers of each trainee increased significantly ( P<0.05). Conclusion:The establishment of short-term training path for prenatal ultrasound diagnosis can effectively improve the professional theoretical knowledge and practical operation level of prenatal ultrasound doctors in primary hospitals, and greatly solve the problem of technical promotion under the shortage of grassroots hospitals.

Idiopathic asthenozoospermia, a common factor in male infertility, is characterized by altered sperm motility function in fresh ejaculate. Although the β-defensin 126 (DEFB126) protein is associated with asthenozoospermia, DEFB126 gene polymorphisms have not been extensively studied. Therefore, the association between DEFB126 gene polymorphisms and asthenozoospermia requires further investigation. Screening was performed by semen analysis, karyotype analysis, and Y microdeletion detection, and 102 fertile men and 106 men with asthenozoospermia in Chengdu, China, were selected for DEFB126 gene sequence analyses. Seven nucleotide mutations and two nucleotide deletions in the DEFB126 gene were detected. rs11467417 (317-318 del/del), rs11467497 (163-166 wt/del), c.152T>C, and c.227A>G were significantly different between the control and asthenozoospermia groups, likely representing high-risk genetic factors for asthenozoospermia among males. DEFB126 expression was not observed in sperm with rs11467497 homozygous deletion and was unstable in sperm with rs11467417 homozygous deletion. The rs11467497 four-nucleotide deletion leads to truncation of DEFB126 at the carboxy-terminus, and the rs11467417 binucleotide deletion produces a non-stop messenger RNA (mRNA). The above deletions may be responsible for male hypofertility and infertility by reducing DEFB126 affinity to sperm surfaces. Based on in silico analysis, the amino acids 51M and 76K are located in the highly conserved domain; c.152T>C (M51T) and c.227A>G (K76R) are predicted to be damaging and capable of changing alternative splice, structural and posttranslational modification sites of the RNA, as well as the secondary structure, structural stability, and hydrophobicity of the protein, suggesting that these mutations are associated with asthenozoospermia.
Male ; Humans ; Asthenozoospermia/metabolism* ; Sperm Motility/genetics* ; Homozygote ; Polymorphism, Single Nucleotide ; Semen ; Sequence Deletion/genetics* ; Spermatozoa/metabolism* ; Nucleotides/metabolism* ; beta-Defensins/metabolism*

Objective: To analyze the course of disease and epidemiological parameters of COVID-19 and provide evidence for making prevention and control strategies. Methods: To display the distribution of course of disease of the infectors who had close contacts with COVID-19 cases from January 1 to March 15, 2020 in Guangdong Provincial, the models of Lognormal, Weibull and gamma distribution were applied. A descriptive analysis was conducted on the basic characteristics and epidemiological parameters of course of disease. Results: In total, 515 of 11 580 close contacts were infected, with an attack rate about 4.4%, including 449 confirmed cases and 66 asymptomatic cases. Lognormal distribution was fitting best for latent period, incubation period, pre-symptomatic infection period of confirmed cases and infection period of asymptomatic cases; Gamma distribution was fitting best for infectious period and clinical symptom period of confirmed cases; Weibull distribution was fitting best for latent period of asymptomatic cases. The latent period, incubation period, pre-symptomatic infection period, infectious period and clinical symptoms period of confirmed cases were 4.50 (95%CI:3.86-5.13) days, 5.12 (95%CI:4.63-5.62) days, 0.87 (95%CI:0.67-1.07) days, 11.89 (95%CI:9.81-13.98) days and 22.00 (95%CI:21.24-22.77) days, respectively. The latent period and infectious period of asymptomatic cases were 8.88 (95%CI:6.89-10.86) days and 6.18 (95%CI:1.89-10.47) days, respectively. Conclusion: The estimated course of COVID-19 and related epidemiological parameters are similar to the existing data.
COVID-19 ; Cohort Studies ; Contact Tracing ; Humans ; Incidence ; Prospective Studies