OBJECTIVE: This study aimed to investigate possible serum 25-hydroxyvitamin D [25(OH)D] cutoffs for the associations between 25(OH)D and Bone turnover markers (BTMs), and how GC gene variation influences such cutoffs in Chinese women of childbearing age. METHODS: In total, 1,505 non-pregnant or non-lactating women (18-45 years) were recruited from the 2015 Chinese Adult Chronic Disease and Nutrition Surveillance. Serum 25(OH)D, osteocalcin (OC), procollagen type 1 N-terminal propeptide (P1NP), β-CrossLaps of type 1 collagen containing cross-linked C-telopeptide (β-CTX), and single nucleotide polymorphisms were determined. Locally weighted regression and smoothing scatterplot and segmented regression were performed to estimate the 25(OH)D thresholds. RESULTS: The median serum 25(OH)D was 16.63 (11.96-22.55) ng/mL and the prevalence of low serum 25(OH)D (< 12 ng/mL) was 25.2%. Women with the lowest 25(OH)D had the highest β-CTX. After adjustment for the confounders, 25(OH)D cutoffs for OC [14.04 (12.84-15.23) ng/mL], β-CTX [13.94 (12.49-15.39) ng/mL], and P1NP [13.87 (12.37-15.37) ng/mL] in the whole population, cutoffs for OC [12.30 (10.68-13.91) ng/mL], β-CTX [12.23 (10.22-14.23) ng/mL], and P1NP [11.85 (10.40-13.31) ng/mL] in women with the GC rs2282679 G allele, and cutoffs for OC [12.75 (11.81-13.68) ng/mL], β-CTX [13.05 (11.78-14.32) ng/mL], and P1NP [12.81 (11.57-14.06) ng/mL] in women with the GC rs2282679 T allele, were observed. Below these cutoffs, BTMs were negatively associated with 25(OH)D, while above these cutoffs, BTMs plateaued. CONCLUSION In Chinese women of childbearing age, there were thresholds effect of serum 25(OH)D concentrations on BTMs. The results indicated that serum 25(OH)D concentrations < 13.87 ng/mL in this population had adverse influences on maintaining bone remodeling. BTMs were suppressed at a relatively lower serum 25(OH)D in women with the GC rs2282679 G allele compared with those with the T allele.
Humans ; Female ; Vitamin D/blood* ; Adult ; Middle Aged ; Polymorphism, Single Nucleotide ; Adolescent ; Young Adult ; China ; Biomarkers/blood* ; Bone Remodeling/genetics* ; Vitamin D-Binding Protein/genetics* ; Procollagen/blood* ; Osteocalcin/blood* ; Peptide Fragments/blood* ; East Asian People

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

This paper reviewed the research progress in the differentiation and treatment of precancerous lesions of gastric cancer(PLGC)with traditional Chinese medicine(TCM)in the recent 10 years.PLGC refers to the intestinal metaplasia and dysplasia of gastric mucosa developed from chronic atrophic gastritis.As an intermediate stage between chronic atrophic gastritis and gastric cancer,PLGC progresses slowly.TCM has certain advantages in the treatment of PLGC.PLGC can be mainly differentiated as five TCM syndrome types:spleen-stomach weakness syndrome,damp-heat in the spleen and stomach syndrome,qi stagnation in the liver and stomach syndrome,stasis obstruction in the stomach collateral syndrome,and stomach-yin deficiency syndrome.The popularization of gastroscopy technology has promoted the development of microscopic syndrome differentiation of gastric diseases.The combination of microscopic syndrome differentiation and macroscopic syndrome differentiation provides more theoretical supports for the TCM syndrome differentiation and treatment of PLGC.The basic pathogenesis of PLGC is due to the weakness of spleen and stomach and the disordered qi movement in the spleen and stomach,complicated by the accumulation of pathological factors such as damp-heat,stasis-toxin,phlegm-damp,and then the stomach-yin will be consumed over time.An amount of clinical studies on the treatment of PLGC with Chinese medicine have been carried out in recent years.The Chinese medicine treatment of PLGC is mainly through benefiting qi and invigorating spleen,assisted by the methods of soothing liver and activating blood,resolving dampness and eliminating stasis,resolving stasis and removing toxins,and nourishing yin and benefiting stomach,so as to prevent the PLGC progressing to gastric cancer.There are few studies on acupuncture treatment of precancerous lesions of gastric cancer.Therefore,it is necessary to carry out more strict and standardized multi-center large-sample RCTs,and to further study the therapeutic mechanism of acupuncture and moxibustion for PLGC,in order to provide more high-level evidence for the treatment of PLGC with TCM therapy.

Objective A simple,sensitive and rapid ultra high performance liquid chromatography tandem mass spectrometry(UPLC-MS/MS)method was developed and validated for the determination of ertapenem in human plasma.Methods Using ertapenem-D4 as internal standard,the protein in plasma was precipitated with acetonitrile;chromatographic column:ACQUITY HSS T3(2.1 mm × 50.0 mm,1.8 μm);the mobile phase was 0.1％formic acid aqueous solution(containing 2 mmol·L-1 ammonium formate)-acetonitrile(0.1％formic acid),using a gradient elution;flow rate:0.4 mL·min-1,injection volume:1 μL,column temperature:45 ℃,the analysis time was 4.5 min,the scanning mode is positive ion selective reaction monitoring mode(SRM)with an electric spray ion source(ESI).The specificity,standard curve and lower limit of quantification,precision and recovery,matrix effect,dilution effect and stability were investigated.Results Ertapenem had a good linearity within 0.5-80.0μg·mL-1,and the standard curve was y=4.25 × 10-1x-2.64× 10-2(r2=0.999 0),the lower limit of quantification was 0.5 μg·mL-1,the relative standard deviation within and between batches is 1.39％-4.15％.The extraction recovery rate was 58.36％-64.57％,and the relative standard deviation of dilution effect was 3.30％,and the matrix effect was 99.71％-103.23％.The relative standard deviation of room temperature,repeated freeze-thaw,4 ℃,and long-term stability are all less than 10％.Conclusion The method is sensitive,rapid and specific,which is suitable for clinical monitoring of Ertapenem.

3D printing is an additive manufacturing technology with the help of digital control. Since FDA approved the first 3D printing drug in 2015, its research enthusiasm in the pharmaceutical field has been increasing year by year. In printing technology, fused deposition molding (FDM) and semi-solid extrusion (SSE) are the two most widely used extrusion molding technologies. In this review, recent advances of pharmaceutical 3D printing extrusion molding technology are reviewed from six aspects: mechanism, equipment, pharmaceutical excipients, applications, design and industrialization prospects of extrusion molding technology.

The common data model (CDM) is an important tool to facilitate the standardized integration of multi-source heterogeneous healthcare big data, enhance the consistency of data semantic understanding, and promote multi-party collaborative analysis. The data collections standardized by CDM can provide powerful support for observational studies, such as large-scale population cohort study. This paper provides an in-depth comparative analysis of the data storage structure, term mapping pattern, and auxiliary tools development of the three international typical CDMs, then analyzes the advantages and limitations of each CDM and summarizes the challenges and opportunities faced in the CDM application in China. It is expected that exploring the advanced technical concepts and practical patterns of foreign countries in data management and sharing will provide references for promoting FAIR (findable, accessible, interoperable, reusable) construction of healthcare big data in China and solving the current practical problems, such as the poor quality of data resources, the low degree of semantization, and the inabilities of data sharing and reuse.
Humans ; Big Data ; China ; Cohort Studies ; Data Collection ; Information Dissemination

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 investigate the inhibitory effects of Danshen injection against ovarian cancer cell proliferation induced by the interaction between platelets and cancer cells. Method:The induction of platelets on SKOV3 growth in vitro and the inhibitory effect of Danshen injection at 12，24，and 48 g·L^-1 were observed by 3-（4，5-Dimethylthiazol-2-yl）-2，5-diphenyltetrazolium bromide （MTT） and cell colony formation assays. The content of transforming growth factor-β₁ （TGF-β₁） in the platelet-tumor cell interaction system and platelet supernatant and the effect of Danshen injection on TGF-β₁ secretion were detected by enzyme-linked immunosorbent assay （ELISA）. The influences of tumor cell culture supernatant on platelet aggregation and secretion and the inhibitory effect of Danshen injection were determined by microplate assay and ELISA. The effects of Danshen injection on platelet nuclear factor kappa B （NF-κB） signaling pathway were assayed by Western Blot. Result:Compared with the blank group， the platelet induction group exhibited significantly elevated absorbance at A₅₇₀ （P<0.01）， while the absorbance at A₅₇₀ in the platelet + Danshen injection group was significantly lower than that in the platelet induction group （P<0.01）. The comparison with the Danshen injection group revealed that the cell proliferation inhibitory rate in the platelet + Danshen injection group at the same dose was more significant （P<0.01）. The number of colonies in the platelet induction group was obviously increased in contrast to that in the blank group（P<0.05）， while the number of colonies in the platelet + Danshen injection group was significantly lower than that in the platelet induction group（P<0.05，P<0.01）. As demonstrated by comparison with the blank group， TGF-β₁ content in the supernatant of the platelet induction group rose remarkably（P<0.01）， whereas that in the platelet + Danshen injection group declined（P<0.01）. Compared with the Danshen injection （24 g·L^-1） group， the platelet + Danshen injection group displayed more obvious inhibition（P<0.01）. Compared with the blank group， Danshen injection significantly reduced the TGF-β₁ content in platelet supernatant（P<0.05，P<0.01）. There was no significant change in the content of TGF-β₁ in SKOV3 supernatant treated with Danshen injection. The platelet aggregation， thromboxane A₂（TXB₂）， and serotonin （5-HT） secretion in the SKOV3 cell supernatant induction group were significantly increased as compared with those in the blank group （P<0.01）， while such indexes in the cell supernatant induction + Danshen injection group were obviously decreased （P<0.01）. Compared with the Danshen injection （24 g·L^-1） group， the cell supernatant induction + Danshen injection group displayed more obvious inhibition at the same dose（P<0.01）. Compared with the blank group， the platelet induction group exhibited obviously up-regulated phosphorylated TGF-β-activated kinase-1 （TAK-1） and NF-κB， but down-regulated phosphorylated inhibitory protein of NF-κB （IκB）（P<0.01）， which however were significantly reversed in the platelet + Danshen injection group（P<0.01）. Conclusion:Danshen injection affect the proliferation of SKOV3 cells by inhibiting their interaction with platelets， which may be related to the inhibited secretion of TGF-β₁.

Breast Neoplasms/metabolism* ; COVID-19/complications* ; China/epidemiology* ; Female ; Humans ; SARS-CoV-2/pathogenicity*