Currently, the basic network resource of the entire traditional Chinese medicine (TCM) industry is fragmented. Issues of data unify are not easily resolved. It seems that there is no new breakthrough in key technologies, especially on the problem of data sharing and resources' integration. In this context, a method of medical information data sharing is advocated to solve the problem. We use the RESTful style to define resources of the pharmaceutical industry, which is based on the UDDI Web services standards. The objective of this paper is to create a method of TCM resource URL defined and exchanged. Finally, this paper provided an easy way for TCM data network sharing.

Objective To predict the functions of hsa-miR-1908 promoter using various bioinformatic tools, and to provide clues for further study on transcriptional regulation mechanism of miR-1908 in human adipocytes. Methods The promoter se-quence of miR-1908 was obtained from Ensemble, and then the CpG islands and transcription factor binding sites were pre-dicted by a variety of online bioinformatic tools. Results The length of the miR-1908 promoter sequence was 1 458 bp. The CpG islands, which inhibited the transcription of miR-1908, were located at (438-756) bp, (836-937) bp and (979-1374) bp. Meanwhile, 15 transcription factor binding sites were found in the promoter sequence of miR-1908. Conclusions miRNA up-stream promoter related bioinformatics can not only improve the efficiency of microRNA promoter research, but also provide further important information on transcriptional regulation of miR-1908.

Background Perfluoroalkyl substances (PFASs) are classified as persistent organic pollutants and have been widely detected in human. Studies investigating the associations between PFASs exposure and estimated glomerular filtration rate (eGFR) yielded inconsistent results, and little is known about the effects of PFASs on eGFR in population without kidney disease. Objective To explore the associations of exposure to PFASs with eGFR and renal dysfunction in population without kidney disease. Methods A total of 609 participants with an eGFR > 60 mL·min⁻¹·1.73 m⁻² and without renal impairment matched for sex and age (1∶1) were recruited from endocrinology department and medical examination center of two hospitals in Tianjin, China, from April 2021 to March 2022. Each subject was interviewed using a structured questionnaire to collect information about sex, age, height, weight, disease history, smoking, alcohol intake, etc. Clinical parameters were obtained from medical record, such as fasting blood glucose (FBG), creatinine (Cre), total cholesterol (TC), and triglyceride (TG). Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured by professionals using standard methods. The serum concentrations of PFASs were determined by liquid chromatography/mass spectrometry. Multivariable linear and logistic regression models were performed to evaluate the associations of PFASs exposure with eGFR and renal dysfunction, respectively. Subgroup analyses stratified by age and sex were also performed to assess the modified effects of covariates on the associations of PFASs exposure with eGFR. Results There were 283 males, accounting for 46.5% of the total population. The mean age of the participants was (56.86±12.47) years, and the average body mass index (BMI) was (25.59±3.84) kg·m⁻². Perfluoro-n-octanoic acid (PFOA), perfluorohexane sulfonic acid (PFHxS), perfluorooctane sulfonic acid (PFOS), perfluoro-n-nonanoic acid (PFNA), perfluoro-n-decanoic acid (PFDA), perfluoro-n-undecanoic acid (PFUnDA), sodium 1H, 1H, 2H, 2H-perfluoro-1-octanesulfonate (6:2 FTS), and perfluoropentane sulfonic acid (PFPeS) were positive in more than 75% of serum samples, and the corresponding median concentrations were 9.50, 1.67, 17.22, 1.86, 1.41, 0.78, 0.42, and 0.43 μg·L⁻¹, respectively. After full adjustments of sex, age, BMI, hypertension, diabetes, TC, TG, smoking, and drinking, the linear regression models showed that log₂-transformed PFHxS concentration was negatively associated with eGFR (b=−1.160, 95%CI: −2.280, −0.410). Compared with the lowest exposure tertile, the estimated change of eGFR in the highest tertile for PFHxS was significantly decreased (b=−2.471, 95%CI: −4.574, −0.368). Furthermore, compared with males, the negative association of PFHxS with eGFR was strengthened among females (female: b=−1.281, 95%CI: −2.388, −0.174; male: b=−0.781, 95%CI: −2.823, 1.261, P_interaction=0.043). Conclusion A significant negative association between serum PFHxS and eGFR is observed in the sampled population without kidney disease, and females are more susceptible to PFASs exposure than the males.