Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.

ObjectiveBased on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， network pharmacology and molecular docking techniques， to explore the pharmacodynamic material basis and mechanism of Renshen Wuweizi Tang in treating spleen-lung Qi deficiency syndrome. MethodsThe chemical components in the decoction of Renshen Wuweizi Tang were systematically characterized and identified by UPLC-Q-TOF-MS/MS， and network pharmacology was used to screen potential active ingredients， collect component targets and gene sets related to spleen-lung Qi deficiency syndrome， and obtain protein interaction relationships through STRING. Cytoscape 3.9.1 was used to construct a "formula-syndrome" association network and calculate topological feature values. Gene ontology（GO） function and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were performed on core genes to explore potential pharmacodynamic links， the average shortest path between the formula-drug target network and the pharmacodynamic link gene network was calculated to discover dominant pharmacodynamic links， and MCODE plugin was used to identify core gene clusters from the dominant pharmacodynamic links， which were validated using Gene Expression Omnibus（GEO）， and molecular docking was performed between key components and core targets. ResultsOne hundred and thirty-seven components were identified in the negative ion mode， and eighty components were identified in the positive ion mode. After deduplication， a total of 185 components were identified， mainly composed of triterpenoid saponins（49） and flavonoids（54）. Based on the "formula-syndrome" correlation network analysis， energy metabolism was determined to be the dominant pharmacodynamic link of Renshen Wuweizi Tang in the treatment of spleen-lung Qi deficiency syndrome. The results of molecular docking showed that 7 components（adenosine， atractylenolide Ⅱ， atractylenolide Ⅲ， ginsenoside Rg₁， glycyrrhizin B₂， glycyrrhizin E₂ and campesterol） from 4 medicinal materials（Ginseng Radix et Rhizoma， Atractylodis Macrocephalae Rhizoma， Glycyrrhizae Radix et Rhizoma and Poria） in this formula might regulate energy metabolism by acting on 6 targets， namely cyclic adenosine monophosphate-response element binding protein 1（CREB1）， glyceraldehyde-3-phosphate dehydrogenase（GAPDH）， interleukin（IL）-6， nuclear transcription factor（NF）-κB1， peroxisome proliferator-activated receptor α（PPARα）， and tumor necrosis factor（TNF）， thus improving the symptoms of diseases related to spleen-lung Qi deficiency syndrome. ConclusionThis study established a UPLC-Q-TOF-MS/MS for rapid characterization and identification of chemical components in the decoction of Renshen Wuweizi Tang， expanding the understanding of the material composition of this formula， and found that 7 components might act on the key advantageous pharmacodynamic link "energy metabolism" through 6 targets to improve the related symptoms of spleen-lung Qi deficiency syndrome. This can provide a reference for the subsequent exploration of the material benchmark and mechanism of the famous classical formula.

The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

The use of wastewater analysis, or wastewater-based epidemiology, to assess and monitor the situation of drug abuse is now widely used at home and abroad. However, there is currently a lack of effective evaluation methods and effective ways of comparison, supervision and standardization, which is not conducive to the analysis and comparisons of data in different countries and regions. Quality control techniques can control the laboratory's analytical errors, safeguard the consistency and comparability of identification conclusions, and promote the further improvement of the level and capacity of urban drug governance, thus playing significant roles. This paper provides an overview of sample collection, sample preservation and transportation, laboratory analysis, back-calculation of drug use and external laboratory quality control in the process of wastewater analysis, with a view to exploring more comprehensive scientific and objective methods and approaches suitable for examining and evaluating qualitative and quantitative analysis of drugs in wastewater among laboratories.

This study constructed a LHCGR-CRE-luc-HEK293 transgenic cell line according to the activation of the cAMP signaling pathway after recombinant human chorionic gonadotropin binding to the receptor. The biological activity of recombinant human chorionic gonadotropin was assayed using a luciferase assay system. The relative potency of the samples was calculated using four-parameter model. And the method conditions were optimized to validate the specificity, relative accuracy, precision and linearity of the method. The results showed that there was a quantitative potency relationship of human chorinonic gonadotropin (hCG) in the method and it was in accordance with the four-parameter curve. After optimization, the conditions were determined as hCG dilution concentration of 2.5 μg·mL^-1, dilution ratio of 1∶4, cell number of 10 000-15 000 cells/well, and induction time of 6 h. The method had good specificity, relative accuracy with relative bias ranging from -8.9% to 3.4%, linear regression equation correlation coefficient of 0.996, intermediate precision geometric coefficient of variation ranging from 3.3% to 15.0%, and linearity range of 50% to 200%. This study successfully established and validated a reporter gene method to detect hCG biological activity, which can be used for hCG biological activity assay and quality control.

Objective To investigate the correlation between the expression of long non-coding ribonucleic acid growth arrest specific 5(lncRNA GAS5),phospholysine phosphohistidine inorganic pyrophosphate phos-phatase(LHPP)and epithelial-mesenchymal transition(EMT)in cancer tissues of patients with non-small cell lung cancer(NSCLC)and its clinical significance.Methods Cancer tissues and adjacent tissues of 90 patients with NSCLC who underwent surgical resection in the First Hospital Affiliated to Hebei North College from June 2018 to January 2020 were collected.The expressions of lncRNA GAS5,LHPP and EMT-associated pro-teins[E-calmodulin(E-Cad),N-calmodulin(N-Cad),and vimentin(VIM)]were detected by real-time fluores-cence quantitative polymerase chain reaction.The relationship between lncRNA GAS5 and LHPP mRNA and clinicopathological features in cancer tissues of NSCLC patients was analyzed,and the correlation between ln-cRNA GAS5 and LHPP mRNA and EMT-associated proteins expression in cancer tissues of NSCLC patients was analyzed by Pearson correlation.Kaplan-Meier method was used to plot the survival curves of NSCLC pa-tients with different lncRNA GAS5 and LHPP mRNA expressions,and multivariate Cox regression was used to analyze the prognostic factors of NSCLC patients.Results The expressions of lncRNA GAS5,LHPP mR-NA and E-Cad mRNA in cancer tissues of NSCLC patients were lower than those in adjacent tissues,while the expressions of N-Cad mRNA and VIM mRNA were higher than those in adjacent tissues,with statistical sig-nificance(P＜0.05).Pearson correlation analysis showed that lncRNA GAS5 in cancer tissues of NSCLC pa-tients was positively correlated with E-Cad mRNA expression(r=0.724,P＜0.001),and negatively correla-ted with N-Cad mRNA and VIM mRNA expression(r=-0.699,-0.689).P＜0.001);lncRNA GAS5 was positively correlated with LHPP mRNA expression(r=0.651,P＜0.001).The mRNA expressions of ln-cRNA GAS5 and LHPP in cancer tissues of NSCLC patients with different degrees of differentiation,tumor TNM stage and lymph node metastasis were significantly different(P＜0.05).Kaplan-Meier survival curve a-nalysis showed that the 3-year overall survival rate in the lncRNA GAS5 high expression group[68.18％(30/44)]was higher than that in the lncRNA GAS5 low expression group[36.96％(17/46)].The 3-year overall survival rate in the high LHPP mRNA expression group[67.39％(31/46)]was higher than that in the lowLHPP mRNA expression group[36.36％(16/44)],and the difference was statistically significant(x2=10.274,10.322,P＜0.05).Low differentiation,TNM stage Ⅲ and lymph node metastasis were independent risk factors for death in NSCLC patients,and lncRNA GAS5≥1.32 and LHPP mRNA≥1.12 were independ-ent protective factors(P＜0.05).Conclusion The low expression of lncRNA GAS5 and LHPP mRNA in cancer tissues of patients with NSCLC is related to EMT-associated proteins expression,differentiation de-gree,tumor TNM stage,lymph node metastasis and prognosis,and may become a new target for the diagnosis and treatment of NSCLC.

Objective:To discuss and analyze the current situation of the application and approval of new Chinese medicine in China; To provide a reference for the research and development of new Chinese medicines in the future.Methods:The drug registration data were retrieved from Xanda database from January 1, 2016 to December 31, 2022, and the information of new approval and application of new Chinese medicines during this periods was systematically organized from the aspects of the number of registered varieties, registration categories, therapeutic areas, prescription sources, dosage form distribution, development cycle, clinical research and control drugs.Results:From 2016 to 2022, the total number of application for new Chinese medicines was 265. The number of registration classification 1.1 of new compound drugs was the largest. The dosage forms of new drugs were mainly granules, capsules, and tablets. Indications mainly focused on respiratory, neuropsychiatric, digestion and cardio-cerebrovascular diseases, etc. From 2016 to 2022, the total number of approval for new Chinese medicines was 29, of these, 19 from 2021 to 2022. The number of registration classification 1.1 of new Chinese medicines was the largest. The treatment fields are mainly respiratory system, gynecology and neuropsychiatric diseases, etc. The dosage forms of new drugs were mainly granules, capsules, and tablets. The number of drugs in prescriptions was 6-15. High-frequency drugs included Glycyrrhizae Radix et Rhizoma, Ephedrae Herba, Scutellariae Radix, Pinelliae Rhizoma, Poria and Gypsum Fibrosum. Phase Ⅱ and phase Ⅲ of the clinical trials had the largest number. The development period was approximately between 10-20 years. The most prescription source of new drugs was clinical experienced prescriptions and hospital pharmaceutics.Conclusion:The results show that China has been gradually building-up a relatively complete ecosystem for research and development of new Chinese medicines, helping to develop more high-quality Chinese medicines.

Objective To investigate the predictive value of new simplified insulin resistance(IR)assessment indexes in identifying subclinical left ventricular systolic function impairment in patients with type 2 diabetes mellitus(T2DM).Methods A total of 150 T2DM patients with preserved left ventricular ejection fraction(LVEF≥50%)who were admitted to Department of Endocrinology of the First Affiliated Hospital of Air Force Medical University from June 2021 to December 2021 were retrospectively analyzed.All patients underwent two-dimensional speckle tracking echocardiography to measure left ventricular global longitudinal strain(GLS).According to GLS value,the subjects were divided into the normal group(GLS≥18%group,n=80)and the impaired group(GLS<18%group,n=70).Some new simplified IR assessment indicators were calculated and compared between the two groups,including body mass index(BMI),TG/HDL-C ratio,triglyceride-glucose(TyG)index,TyG-BMI index,TyG-WHR and metabolic score for IR(METS-IR).Correlation between the GLS and the new simplified IR assessment indexes was analyzed.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficacy of different simplified IR assessment indexes,with the area under the curve(AUC)calculated.Furthermore,according to whether the subjects were complicated with hypertension,binary logistics regression analysis was performed to explore the independent correlation between the simplified IR assessment index and GLS<18%.Results Total 150 were included with aged(54.5±13.7)years with 96(64.0%)men and 54(36.0%)women.Compared with the GLS≥18%group,the TG/HDL-C ratio,TyG index,TyG-BMI,and METS-IR of subjects in the GLS<18%group were significantly increased(P<0.05).Pearson correlation analysis showed that TG/HDL-C ratio,TyG index,TyG-BMI,TyG-WHR,and METS-IR were negatively correlated with GLS(P<0.05).ROC analysis showed that TyG index had a certain predictive value for the evaluation of GLS<18%(AUC=0.678,95%CI 0.591-0.765,P<0.001).Stratification based on hypertension and further adjusting for confounding factors,TyG index remains significantly associated with GLS<18%(OR=3.249,95%CI 1.045-10.103,P=0.042).Conclusions The novel simplified insulin resistance evaluation indexes are closely associated with left ventricular subclinical systolic dysfunction in T2DM patients with preserved ejection fraction.TyG index is an effective index to identify left ventricular subclinical dysfunction in these populations.

Objective:To compare the surgical outcomes between scarless endoscopic thyroidectomy-lateral neck dissection (SET-LND) and open LND for papillary thyroid cancer (PTC) with lymph node metastasis and to share the experience in the prevention and treatment of lymphatic leakage after LND.Methods:Totally 90 PTC patients (25 males) who underwent LND in the Second Affiliated Hospital of Zhejiang University School of Medicine from Jan. 2021 to Aug. 2022 were retrospectively enrolled, with an average age of (28.06±4.89) years. They were divided into the SET-LND group ( n=50) and the open LND group ( n=40). The intraoperative blood loss, operation time, drainage volume on the first and the second days, postoperative lymphatic leakage, tumor (T), and node (N) were observed. The categorical variable data were compared between groups by χ 2 test, and the continuous variable data confirming normal distribution were compared between groups by independent sample t-test. Results:The operation time of the SET-LND group was (284.00±74.65) min, significantly longer than that of the open LND group (145.38±43.26) min ( t=-10.42, P<0.001). The intraoperative blood loss ( t=-1.309, P=0.194), postoperative hospital stay ( t=-0.136, P=0.892), drainage volume on the first day ( t=-1.074, P=0.286), and drainage volume on the second day ( t=-1.595, P=0.114), postoperative lymphatic leakage ( χ2=0.001, P=0.989), T ( t=0.367, P=0.714), N ( t=-1.614, P=0.110) were not significantly different between the two groups. Conclusion:Two surgical methods of LND have similar therapeutic effects and no significant difference was observed in the incidence of postoperative lymphatic leakage between the two groups.