Sophorae Flavescentis Radix is one of the commonly used traditional Chinese medicine in China, and a large amount of pharmaceutical residue generated during its processing and production is discarded as waste, which not only wastes resources but also pollutes the environment. Therefore, elucidating the chemical composition of the residue of Sophorae Flavescentis Radix and the differences between the residue and Sophorae Flavescentis Radix itself is of great significance for the comprehensive utilization of the residue. This study, based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) technology combined with multivariate statistical methods, provides a thorough characterization, identification, and differential analysis of the overall components of Sophorae Flavescentis Radix and its residue. Firstly, 61 compounds in Sophorae Flavescentis Radix were rapidly identified based on their precise molecular weight, fragment ions, and compound abundance, using a self-constructed compound database. Among them, 41 compounds were found in the residue, mainly alkaloids and flavonoids. Secondly, through principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA), 15 key compounds differentiating Sophorae Flavescentis Radix from its residue were identified. These included highly polar alkaloids, such as oxymatrine and oxysophocarpine, which showed significantly reduced content in the residue, and less polar flavonoids, such as kurarinone and kuraridin, which were more abundant in the residue. In summary, this paper clarifies the overall composition, structure, and content differences between Sophorae Flavescentis Radix and its residue, suggesting that the residue of Sophorae Flavescentis Radix can be used as a raw material for the extraction of its high-activity components, with promising potential for development and application in cosmetics and daily care. This research provides a scientific basis for the future comprehensive utilization of Sophorae Flavescentis Radix and its residue.
Drugs, Chinese Herbal/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Mass Spectrometry/methods* ; Sophora/chemistry* ; Flavonoids/chemistry* ; Alkaloids/chemistry*

OBJECTIVE: To investigate the effect of acupuncture on advanced cancer patients by meta-analysis. METHODS: Nine databases (the Cochrane Central Register of Controlled Trials, MEDLINE, Web of Science, Embase, China National Knowledge Infrastructure, the Cumulative Index to Nursing and Allied Health Literature, Chinese Biomedical Literature Database, China Science and Technology Journal Database, and WanFang Data) were searched for randomized controlled trials (RCTs) on acupuncture in advanced cancer patients published from inception to February 13, 2023 and updated to June 1, 2023. Primary outcomes were quality of life (QOL), while secondary outcomes were pain, fatigue, and adverse events (side effects). Data synthesis was performed using RevMan V.5.3 to calculate pooled effect sizes. RoB-2 was used for the risk of bias, and the quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. RESULTS: Totally 17 RCTs involving 1,178 participants were included, 15 of which were pooled for meta-analysis. Most studies demonstrated some concern for the overall risk of bias. The pooled data indicated that acupuncture was associated with improved QOL [mean difference (MD)=6.67, 95% confidence interval (CI): 5.09 to 8.26], pain (MD=-1.18, 95% CI -2.28 to -0.08), and adverse events (risk ratio=0.30, 95% CI: 0.26 to 0.57) compared with control groups. Fatigue outcome was not included. Heterogeneity was substantial, and GRADE evidence was very low for both QOL and pain. CONCLUSIONS Acupuncture could benefit patients with advanced cancer and is considered safe compared with usual care. However, the evidence regarding QOL and pain outcomes requires further validation. It is crucial to encourage the development of high-quality studies to strengthen this evidence. (Registry No. CRD42023423539).
Humans ; Acupuncture Therapy ; Neoplasms/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Treatment Outcome

OBJECTIVE: This study aimed to reexplore minimum iodine excretion and to build a dietary iodine recommendation for Chinese adults using the obligatory iodine loss hypothesis. METHODS: Data from 171 Chinese adults (19-21 years old) were collected and analyzed based on three balance studies in Shenzhen, Yinchuan, and Changzhi. The single exponential equation was accordingly used to simulate the trajectory of 24 h urinary iodine excretion as the low iodine experimental diets offered (iodine intake: 11-26 μg/day) and to further deduce the dietary reference intakes (DRIs) for iodine, including estimated average requirement (EAR) and recommended nutrient intake (RNI). RESULTS: The minimum iodine excretion was estimated as 57, 58, and 51 μg/day in three balance studies, respectively. Moreover, it was further suggested as 57, 58, and 51 μg/day for iodine EAR, and 80, 81, and 71 μg/day for iodine RNI or expressed as 1.42, 1.41, and 1.20 μg/(day·kg) of body weight. CONCLUSION The iodine DRIs for Chinese adults were established based on the obligatory iodine loss hypothesis, which provides scientific support for the amendment of nutrient requirements.
Humans ; Iodine/administration & dosage* ; Male ; Female ; China ; Young Adult ; Diet ; Adult ; Nutritional Requirements ; East Asian People

This paper summarized the experience in treating flat warts by Professor XU Xian based on the theory of Bai Qi （白气） micro-discharge. Flat warts is considered as a minor skin disease. Wind-damp attacking the exterior and contention between the muscles are the prerequisites for its occurrence， and failure to diffuse due to wei （卫） constraint， and qi discharge to striae and interstices are the core pathogenesis. For treatment， the core principle is to treat minor diseases with minor adjustment， and therefore， the method of dispelling wind and overcoming dampness is used to produce slight sweating and relieve the symptoms， and by taking advantage of the situation， the constraint is unblocked with diffusion and dispersion. Simultaneously， it is paid attention to not over-damaging blood vessels during treatment to avoid causing other symptoms. Self-made Modified Maxing Yigan Decoction （麻杏薏甘汤） is recommended as the basic formula for flat warts， together with self-made Xi You Formula （洗疣方） in external administration to restore defense qi， eliminate pathogenic qi and remove the warts.

Objective To investigate changes in the urinary metabolite profiles of children exposed to polycyclic aromatic hydrocarbons(PAHs)during critical brain development and explore their potential link with the intestinal microbiota. Methods Liquid chromatography-tandem mass spectrometry was used to determine ten hydroxyl metabolites of PAHs(OH-PAHs)in 36-month-old children.Subsequently,37 children were categorized into low-and high-exposure groups based on the sum of the ten OH-PAHs.Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to identify non-targeted metabolites in the urine samples.Furthermore,fecal flora abundance was assessed by 16S rRNA gene sequencing using Illumina MiSeq. Results The concentrations of 21 metabolites were significantly higher in the high exposure group than in the low exposure group(variable importance for projection>1,P<0.05).Most of these metabolites were positively correlated with the hydroxyl metabolites of naphthalene,fluorine,and phenanthrene(r=0.336-0.531).The identified differential metabolites primarily belonged to pathways associated with inflammation or proinflammatory states,including amino acid,lipid,and nucleotide metabolism.Additionally,these distinct metabolites were significantly associated with specific intestinal flora abundances(r=0.34-0.55),which were mainly involved in neurodevelopment. Conclusion Higher PAH exposure in young children affected metabolic homeostasis,particularly that of certain gut microbiota-derived metabolites.Further investigation is needed to explore the potential influence of PAHs on the gut microbiota and their possible association with neurodevelopmental outcomes.

Objective To investigate the difference between the management of patients in arrhythmia ward and non-arrhythmia wards and optimize the management plan of patients with atrial fibrillation.Methods Data of 1 537 patients with atrial fibrillation admitted to the arrhythmia ward and non-arrhythmia ward in the Department of Cardiology of the Second Hospital of Tianjin Medical University from September 2019 to September 2021 were collected.Baseline data,use of oral anticoagulants,use of heart rate control drugs and antiarrhythmic drugs,and use of antiplatelet drugs were compared between the two groups.Results The mean CHA2DS2-VASc score in the non-specialized atrial fibrillation(AF)management group was higher than that in the specialized AF management group,and the difference was statistically significant[(4.76±1.71)vs.(3.46±1.87),P＜0.001].There were statistically significant differences between the two groups in terms of gender,age,comorbidities such as heart failure,hypertension,diabetes,stroke,and vascular disease(all P＜0.001).The proportion of paroxysmal and permanent AF types in the non-specialized AF management group was higher(P＜0.001).The usage rates of rate control drugs(56.0％vs.40.1％),beta-blockers(50.7％vs.36.6％),and digoxin(17.6％vs.5.2％)were significantly higher in the non-specialized AF management group compared to the specialized AF management group,all with statistical significance(all P＜0.001).The usage rates of antiarrhythmic drugs(49.8％vs.22.6％),amiodarone(26.2％vs.5.6％),dronedarone(3.1％vs.0.4％),and propafenone(2.9％vs.0.1％)were significantly higher in the specialized AF management group compared to the non-specialized AF management group,all with statistical significance(all P＜0.001),while there was no statistical difference in the usage rate of sotalol between the two groups.The proportion of patients undergoing coronary artery examination in the non-specialized AF management group(43.6％)was significantly higher than that in the specialized AF management group(25.7％),with statistical significance(P＜0.001).Conclusions The treatment of patients with atrial fibrillation varies greatly due to the management of different specialized wards.

Background Polycyclic aromatic hydrocarbons (PAHs), one of the main components of fine particulate matter (PM_2.5), have a certain impact on ambient air quality, and long-term exposure to PAHs may pose potential health risks to human beings. Objective To identify the distribution characteristics and sources of PAHs in atmospheric PM_2.5 in a district of Taizhou City from 2019 to 2021, and to evaluate the health risks of PAHs to the population in the area through the inhalation pathway. Methods From 2019 to 2021, air PM_2.5 sampling was carried out at a state-controlled surveillance point in a district of Taizhou City for 7 consecutive days on the 10th-16th of each month, the sampling time was 24 h·d⁻¹, and the sampling flow rate was 100 L·min⁻¹. PM_2.5 mass concentration was calculated by gravimetric method. A total of 16 PAHs were determined by ultrasonic extraction-liquid chromatography. Kruskal-Wallis H test was used to compare the distribution charac teristics of PAHs concentrations by years and seasons, characteristic ratio and principal component analysis (PCA) was used to analyze their sources, and a lifetime carcinogenic risk (ILCR) model was used to assess the health risk of PAHs. Results From 2019 to 2021, the annual average concentrations [M (P₂₅, P₇₅)] of ∑PAHs in atmospheric PM_2.5 in the selected district of Taizhou City were 6.52 (2.46, 10.59), 8.52 (4.56, 12.29), and 3.72 (1.51, 7.11) ng·m⁻³, respectively, and the annual benzo[a]pyrene (BaP) excess rates (national limit: 1 ng·m⁻³) were 27.38% (23/84), 47.62% (40/84), and 19.04% (16/84), respectively, both presenting 2020> 2019 > 2021 (P<0.001, P<0.05). The ∑PAHs concentration distribution showed a seasonal variation, with the highest value in winter and the lowest value in summer (P<0.05). Among the atmospheric PM_2.5 samples, the proportion of 5-ring PAHs was the highest, the proportion of 2-3-ring PAHs was the lowest; the proportion of 2-4-ring PAHs showed a yearly upward trend, and the proportion of 5-6-ring PAHs showed yearly downward trend (P<0.05). The characteristic ratio and PCA results suggested that the sources of sampled PAHs were mainly mixed sources such as dust, fossil fuel (natural gas), coal combustion, industrial emissions, and motor vehicle exhaust emissions. The ILCR (R_ILCR) of PAHs by inhalation for men, women, and children were 1.83×10⁻⁶, 2.35×10⁻⁶, and 2.04×10⁻⁶, respectively, and the annual average R_ILCR was 2.07×10⁻⁶, all greater than 1×10⁻⁶. Conclusion For the sampled time period, the main sources of PAHs pollution in atmospheric PM_2.5 in the target district of Taizhou City are dust, fossil fuel (natural gas), coal combustion, industrial emissions, motor vehicle emissions, etc., and PAHs may have a potential carcinogenic risk to local residents.

Objective To propose a Q factor-based fatigue vibration evaluation method of the ultrasonic knife tip.Methods Firstly,an ultrasonic cutter fatigue testing table was established to realize repeated cutting,which was composed of a power supply module,a three-axis moving module,an ultrasonic cutter clamping module and a control module.Secondly,10 ultrasonic knives of some brand underwent fatigue testing with the table,during which non-contact measurement of the ultrasonic knife tip vibration was carried out and the Q factors were calculated at the five periods of the fatigue test,including the periods before cutting,after 500 times of cutting,after 1 000 times of cutting,after 2 000 times of cutting and after 3 000 times of cutting.Finally,the average cutting speed and burst pressure for coagulated vessels were computed at each period to validata the effectiveness of the method proposed.Results It's indicated that Q factor could effectively reflect the fatigue degradation of the ultrasonic knife tip,while the average cutting speed and burst pressure for coagulated vessels were difficult to efficiently evaluate the fatigue degradation level of the ultrasonic knife tip due to the uncertainty factors in the measurement process.Conclusion The proposed Q factor-based evaluation method can directly evaluate fatigue vibration of the ultrasonic knife tip in an accurate and quantitative manner.[Chinese Medical Equipment Journal,2024,45(6):17-22]

Objective To carry out accurate quantative evaluation of MRI scanning noise based on laser vibrometry technology.Methods Skull and spine MRI was performed with mute and conventional sequences.A laser vibrometry device was used to sample the surface vibration noise at the outer edge of the inspection hole of MRI system according to GB/T 16539-1996 Acoustics—Determination of sound power levels of noise sources using vibration velocity—Measurement for seal machinery,and the indicators of sound power level,sound pressure level and perceived noise level obtained by the three calculation methods(LPN1,LPN2 and LPN3)were analyzed with some dedicated MRI noise analysis software.Results The peak sound pressure levels for conventional and mute sequences of skull scanning were 81 and 63 dB(A),respectively,and mute sequence reduced the noise level significantly;the peak sound pressure levels for conventional and mute sequences of spine scanning were 79 and 75 dB(A),respectively,and the noise reduction level was significantly lower than that of skull scanning.Significant differences in noise reduction were not found in spine scanning sequences,while were found in skull scanning sequences.During spine and skull scanning LPN1,LPN2 and LPN3 obtained by the three calculation methods of conventional and mute sequences were all higher than the overall sound power and overall pressure levels obviously.Conclusion Mute sequence can not realize linear noise reduction for the whole frequency band,the perceived noise of the human ear during MRI scanning is related directly to the scanning sequence,and there may be some bias when only one physical indicator is involved in the noise evaluation of MRI system.[Chinese Medical Equipment Journal,2024,45(10):20-24]

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.