OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine， and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University， who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors， including gender， age， body mass index （BMI）， gene phenotypes， combined medication， drug type （original/generic）， and genotyping results of gene single nucleotide polymorphism loci， on blood concentration and the concentration-to-dose （C/D） after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 （45.57， 130.31） ng/mL， and C/D was 0.96 （0.63， 1.60） ng·d/（mL·mg）. The blood concentration of duloxetine was positively correlated with the daily dose of administration （R2＝0.253 7， P＜0.001）. Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender， age， BMI， combined use of CYP2D6 enzyme inhibitors， and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine （P＜0.05）. CONCLUSIONS The patient’s age， gender， BMI， combined medication， and genetic phenotypes are closely related to the blood concentration of duloxetine.

G protein-coupled receptors (GPCRs) are a large family of membrane protein receptors, and Takeda G protein-coupled receptor 5 (TGR5) is a member of this family. As a membrane receptor, TGR5 is widely distributed in different parts of the human body and plays a vital role in regulating metabolism, including the processes of energy consumption, weight loss and blood glucose homeostasis. Recent studies have shown that TGR5 plays an important role in glucose and lipid metabolism disorders such as fatty liver, obesity and diabetes. With the global obesity situation becoming more and more serious, a comprehensive explanation of the mechanism of TGR5 and filling the gaps in knowledge concerning clinical ligand drugs are urgently needed. In this review, we mainly explain the anti-obesity mechanism of TGR5 to promote the further study of this target, and show the electron microscope structure of TGR5 and review recent studies on TGR5 ligands to illustrate the specific binding between TGR5 receptor binding sites and ligands, which can effectively provide new ideas for ligand research and promote drug research.

OBJECTIVE To evaluate the effects of ABCB1 genotypes on the efficacy and safety of taxanes in the treatment of breast cancer. METHODS By searching Embase，the Cochrane Library， PubMed， CNKI， and Wanfang databases， cohort studies and case-control studies about taxanes in the treatment of breast cancer were collected from the establishment of the database to July 2023. After screeningliterature， extracting data and evaluating quality， meta-analysis was performed by using RevMan 5.3 software. RESULTS A total of 11 studies were included， involving 1 321 patients. There was no correlation between the three genotypes and effective rate， the incidence of myelosuppression， the incidence of neurotoxicity （except for the allele and recessive model of ABCB1 C1236T）， and the incidence of hypersensitivity reactions （P＞0.05）. The subgroup analysis showed that there was a correlation between ABCB1 C1236T dominant model and effective rate when using anthracyclines+5-fluorouracil+cyclophosphamide+taxanes （P＜0.05）， there was a correlation between ABCB1 C3435T recessive model and effective rate when using taxanes+trastuzumab （P＜0.05）. ABCB1 C1236T allele model and recessive model were correlated with sample size ≥100 and using cyclophosphamide+epirubicin+5- fluorouracil+paclitaxel or cyclophosphamide+epirubicin+paclitaxel+trastuzumab or cyclophosphamide+epirubicin+5-fluorouracil+ trastuzumab+paclitaxel regimens； recessive model with sample size ＜100 and the African region were correlated with the incidence of peripheral neuropathy； recessive model was correlated with cutaneous adverse reactions （P＜0.05）. ABCB1 C3435T recessive model was correlated with the incidence of reduced neutrophil count with sample size ≥100； the incidence of white blood cell count reduction with sample size ＜100 and using docetaxel+epirubicin+cyclophosphamide was correlated with both the allele model and the dominant model； the incidence of infections was correlated with the dominant model （P＜0.05）. The incidence of neutrophil count reduction with the sample size ＜100 was correlated with allele model of ABCB1 G2677T/A； the incidence of edema with sample size ≥100 was correlated with allele model and recessive model； the incidence of infection was correlated with allele model and dominant model， especially in patients with neutrophil count complicated with fever （P＜0.05）. CONCLUSIONS ABCB1 genotypes are not correlated with effective rate of taxanes in the treatment of breast cancer， but ABCB1 C3435T genotype is associated with decreased neutrophil counts， decreased white blood cell counts and infections； ABCB1 C1236T genotype is associated with neurotoxicity and cutaneous adverse reactions； ABCB1 G2677T/A genotype is associated with decreased neutrophil counts， infections， and edema.

ObjectiveA rapid method for identification of chemical constituents in Baoyuantang reference sample was established in order to clarify the material basis of this formula. MethodBased on ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） and self-established database information， the chemical components in Baoyuantang were systematically characterized and identified. The chromatography was performed on a Waters ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution（0-3 min， 2%-19%B； 3-8 min， 19%B； 8-8.1 min， 19%-22%B； 8.1-14 min， 22%-29%B； 14-16 min， 29%B； 16-32 min， 29%-45%B； 32-32.1 min， 45%-90%B； 32.1-35 min， 90%-95%B； 35-36 min， 95%-98%B； 36-37 min， 98%-2%B； 37-40 min， 2%B）. Based on electrospray ionization（ESI）， continuum data format was collected in both positive and negative ion modes with a scanning range of m/z 50-1 500. Chemical constituents in the decoction of Baoyuantang were systematically analyzed by UNIFI 1.9.4 software matching， control comparison， The Encyclopedia of Traditional Chinese Medicine（ETCM） database search and literature reports. ResultA total of 229 components were identified under negative ion mode and 181 under positive ion mode， with a total of 322 components after removing duplicates， including 116 triterpene saponins， 66 flavonoids， 19 organic acids， 6 gingerphenols， 6 gingerols， 5 gingerones， 10 amino acids， 7 saccharides， 5 coumarins and 82 other components. Among them， 83， 141， 39， 35 and 38 components were attributed to Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， Astragali Radix， Cinnamomi Cortex and Zingiberis Rhizoma Recens， respectively. ConclusionIn this study， the rapid characterization and identification of multi-class components in Baoyuantang was realized， and it was confirmed that the material basis of this formula was mainly triterpenoid saponins， flavonoids， gingerols and organic acids， and the chemical composition was attributed and analyzed， which provided a reference for the subsequent quality control research.

In recent years, nucleic acid therapy, as a revolutionary therapeutic tool, has shown great potential in the treatment of genetic diseases, infectious diseases and cancer. Lipid nanoparticles (LNPs) are currently the most advanced mRNA delivery carriers, and their emergence is an important reason for the rapid approval and use of COVID-19 mRNA vaccines and the development of mRNA therapy. Currently, mRNA therapeutics using LNP as a carrier have been widely used in protein replacement therapy, vaccines and gene editing. Conventional LNP is composed of four components: ionizable lipids, phospholipids, cholesterol, and polyethylene glycol (PEG) lipids, which can effectively load mRNA to improve the stability of mRNA and promote the delivery of mRNA to the cytoplasm. However, in the face of the complexity and diversity of clinical diseases, the structure, properties and functions of existing LNPs are too homogeneous, and the lack of targeted delivery capability may result in the risk of off-targeting. LNPs are flexibly designed and structurally stable vectors, and the adjustment of the types or proportions of their components can give them additional functions without affecting the ability of LNPs to deliver mRNAs. For example, by replacing and optimizing the basic components of LNP, introducing a fifth component, and modifying its surface, LNP can be made to have more precise targeting ability to reduce the side effects caused by treatment, or be given additional functions to synergistically enhance the efficacy of mRNA therapy to respond to the clinical demand for nucleic acid therapy. It is also possible to further improve the efficiency of LNP delivery of mRNA through machine learning-assisted LNP iteration. This review can provide a reference method for the rational design of engineered lipid nanoparticles delivering mRNA to treat diseases.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective: To explore the change of hearing threshold of workers exposed to noise, establish an individual-based hearing loss early warning model, accurately and differentiated the health of workers exposed to noise. Methods: In September 2019, all physical examination data of 561 workers exposed to noise from an enterprise were collected since their employment. Three indicators of average hearing threshold of the better ear, namely, at high frequency, 4000 Hz and speech frequency, were constructed. The generalized estimating equation (GEE) was used to adjust gender and age and establish the warning model of each indicator. Finally, sensitive indicators and warning models were screened according to AUC and Yoden index. Results: Among the 561 workers exposed to noise, 26 (4.6%) workers had hearing loss. The sensitivity indicators were the average hearing threshold at speech frequency ≥20 dB, high frequency ≥30 dB and 4000 Hz ≥25 dB. The AUC of each index was 0.602, 0.794 and 0.804, and the Youden indexes were 0.204, 0.588 and 0.608, respectively. In GEE of hearing loss warning models, high-frequency hearing threshold ≥20 dB and 4000 Hz hearing threshold ≥25 dB were the optimal models, with AUC of 0.862. Conclusion: Combined with the changes of individual hearing threshold over the years, can accurately assess the risk of individual hearing loss of workers exposed to noise.
Humans ; Hearing Loss, Noise-Induced/diagnosis* ; Noise, Occupational/adverse effects* ; Audiometry ; Deafness ; Employment ; Occupational Exposure/adverse effects* ; Occupational Diseases/diagnosis*

【Objective】 To investigate the application of different ureteral length measurement methods in the indwelling of double-J stent. 【Methods】 Clinical data of 260 patients with double-J stent indwelling after ureteroscopic surgery during Jul.2018 and Dec.2020 were prospectively analyzed. The patients were randomly divided into height calculation group, CT measurement group, KUB group and ureteroscopic measurement group. The length of ureter was calculated accordingly and the appropriate length of double-J stent was selected. KUB was performed on the first day after operation and before extubation to determine the position of double-J stent. The patients completed the ureteral stent-related symptom questionnaire (USSQ), urinary symptom score, lower urinary tract symptom (LUTS) score, pain score, hematuria score, and quality of life score before and after double-J catheter placement. 【Results】 There were no significant differences in age, gender, height, side of stent and urinary symptom score among the four groups (P>0.05). The average lengths of the ureters measured by the four methods were (21.5±1.0) cm, (21.5±1.8) cm, (23.8±1.3) cm and (21.7±1.8) cm, respectively. There were no significant differences among the height calculation group, CT measurement group and ureteroscope group, but there was significant difference between the three groups and the KUB group. The ideal ureteral stent length indwelling ratio in the ureteroscopic group was 76.9%, which was better than that in the other three groups. Postoperative indwelling time was 7-42 d (mean 29.8 d). The USSQ score of the ureteroscopic group before extubation was (14.1±1.5), which was lower than that of the other three groups (P<0.05). The ureteroscopic group was better than the other three groups in the comparison of frequency and urgency of urination, nocturia, hematuria, quality of life score, and pain score (P<0.05). 【Conclusion】 Intraoperative ureteroscopic measurement of the ureteral length is a simple and feasible method in guiding the indwelling of double-J stent to reduce ureteral stent related symptoms.

With the rapid development of the field of interventional therapy of cardiac valve, the innovative researches of interventional therapy of cardiac valve products have become the focus of global research. At present, there is a serious shortage of interventional valvular medical devices on the market in China, and large-scale interventional valve products are undergoing early human trials or confirmatory clinical trials. The effective quality control of clinical trials is of great significance to ensure that clinical trial data can be used to support the marketing of device products. By analyzing the problems in clinical trials quality control of interventional valvular medical devices in our hospital, and combining the characteristics of device products and diseases, we explore the key points of quality control and provide reference for the implementation and completion of high-quality clinical trials.

OBJECTIVE: To investigate the factors related to renal impairment in patients with diabetic kidney disease (DKD) from the perspective of integrated Chinese and Western medicine. METHODS: Totally 492 patients with DKD in 8 Chinese hospitals from October 2017 to July 2019 were included. According to Kidney Disease Improving Global Outcomes (KDIGO) staging guidelines, patients were divided into a chronic kidney disease (CKD) 1-3 group and a CKD 4-5 group. Clinical data were collected, and logistic regression was used to analyze the factors related to different CKD stages in DKD patients. RESULTS: Demographically, male was a factor related to increased CKD staging in patients with DKD (OR=3.100, P=0.002). In clinical characteristics, course of diabetes >60 months (OR=3.562, P=0.010), anemia (OR=4.176, P<0.001), hyperuricemia (OR=3.352, P<0.001), massive albuminuria (OR=4.058, P=0.002), atherosclerosis (OR=2.153, P=0.007) and blood deficiency syndrome (OR=1.945, P=0.020) were factors related to increased CKD staging in patients with DKD. CONCLUSIONS Male, course of diabetes >60 months, anemia, hyperuricemia, massive proteinuria, atherosclerosis, and blood deficiency syndrome might indicate more severe degree of renal function damage in patients with DKD. (Registration No. NCT03865914).
Humans ; Male ; Diabetes Mellitus, Type 2 ; Diabetic Nephropathies ; Hyperuricemia ; Kidney ; Proteinuria ; Renal Insufficiency, Chronic/complications*