Traditional Chinese medicine (TCM) is a well-accepted therapy for atopic dermatitis (AD). However, there are currently no evidence-based guidelines integrating TCM and Western medicine for the treatment of AD, limiting the clinical application of such combined approaches. Therefore, the China Association of Chinese Medicine initiated the development of the current guideline, focusing on key issues related to the use of TCM in the treatment of AD. This guideline was developed in accordance with the principles of the guideline formulation manual published by the World Health Organization. A comprehensive review of the literature on the combined use of TCM and Western medicine to treat AD was conducted. The findings were extensively discussed by experts in dermatology and pharmacy with expertise in both TCM and Western medicine. This guideline comprises 23 recommendations across seven major areas, including TCM syndrome differentiation and classification of AD, principles and application scenarios of TCM combined with Western medicine for treating AD, outcome indicators for evaluating clinical efficacy of AD treatment, integration of TCM pattern classification and Western medicine across disease stages, daily management of AD, the use of internal TCM therapies and proprietary Chinese medicines, and TCM external treatments. Please cite this article as: Du XR, Wu MY, Tao MC, Lin Y, Gu CY, Wu MF, Cao Y, Chen DC, Li W, Wang HW, Wang Y, Wang Y, Lu HZ, Liu X, Su XF, Li FL. Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine. J Integr Med. 2025; 23(6):641-653.
Dermatitis, Atopic/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Integrative Medicine ; Drugs, Chinese Herbal/therapeutic use* ; Practice Guidelines as Topic

Although neuropsychiatric manifestations are common in survivors of coronavirus disease 2019 (COVID-19), the pathophysiology is not yet elucidated. Here we describe the case of a geriatric inpatient who developed post-COVID depression with psychomotor retardation, anxiety, hopelessness, executive function problems, and suicidal ideations. The language problems and cognitive impairments coemerged with the motor problems. We propose a mechanism associated with problems in energy prediction and regulation in which the coronavirus infection, which causes neuroinflammation and viral activity in the nervous system, interferes with the reward pathway and sensory prediction process. Sigma-1 receptor agonists such as sertraline may regulate energy expenditure and, thus, be beneficial to the process. The treatment improvements in our patient included those in the autonomic nervous system, activity, and circadian rhythm.

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 investigate the daily variation of LPR and the significance of 48-hour oropharyngeal pH monitoring in the diagnosis of LPRD. Methods: 72 subjects with suspected LPRD who were treated in our department from June 2018 to June 2021 were included. All patients were hospitalized to complete continuous 48-hour oropharyngeal Dx-pH monitoring. The consistency of Ryan index and W index and the correlation of various reflux parameters between the first and second 24-hour were compared. SPSS 24.0 was used for statistical analysis. Results: All 72 subjects successfully completed 48-hour oropharyngeal Dx-pH monitoring. Ryan index was positive in 11 cases (15.2%) in the first 24-hour, in 17 cases (23.6%) in the second 24-hour, in 5 cases (6.9%) both first and second, and in 23 cases (31.9%) in either 24-hour, Kappa=0.211 (P=0.064), 18 cases (25%) had inconsistent results of the first 24-hour and the second 24-hour, and there was no significant difference in the positive rate between the first and second (P=0.234). The number of positive cases in 48-hour monitoring increased by 109.1% compared with 24-hour monitoring.For W index, 49 cases (68.1%) were positive in the first 24-hourf 53 cases (73.6%) were positive in the second 24-hour, 42 cases (58.3%) were positive both first and second, and 58 cases (80.6%) were positive in either 24-hour, Kappa=0.477 (P<0.001), 16 cases (22.2%) had inconsistent results of the first and second, and there was no significant difference in the positive rate between the first and second (P=0.804). The number of positive cases in 48-hour monitoring increased by 18.4% compared with 24-hour monitoring. There was no significant difference in all the reflux parameters of first and second (P>0.05). The correlation comparison showed that the correlation of various reflux parameters in the upright position was lower than that in the supine position. Conclusion: Laryngeal reflux has daily variability. Extending the monitoring time of Dx-pH to 48-hour can help reduce the missed diagnosis caused by daily variability; the use of W index can reduce the influence of daily variability on the diagnostic results of LPRD.
Humans ; Laryngopharyngeal Reflux/diagnosis* ; Hydrogen-Ion Concentration ; Hypopharynx ; Larynx

AIM:To explore the effects of neuraminidase 3 (NEU3) on the viability, invasion and apoptosis of human prostate cancer DU145 cells and the molecular mechanism.METHODS:The human prostate cancer DU145 cells were divided into blank control group and treatment group.The cells in treatment group were treated with either neuraminidase inhibitor DANA, or NEU3 small interfering RNA (siRNA) to knock down the expression of NEU3.The cell viability was measured by CCK-8 assay.The cell invasion ability was detected by Transwell assay.The effects of the treatments on the mRNA level of Bcl-2 were detected by q PCR.The effects of the treatments on the protein levels of matrix metalloproteinase 2 (MMP2) and apoptotic inhibitory protein Bcl-2 were determined by Western blot.Apoptosis of the cells was analyzed by flow cytometry.RESULTS:The protein level of NEU3 and the apoptotic rate in DANA group were not significantly different from those in blank control group.The viability of DANA-treated DU145 cells was increased, and the invasion ability, MMP2 protein level, and Bcl-2 mRNA and protein levels were all decreased in these cells, compared with blank control group.On the other hand, the levels of NEU3 protein and Bcl-2 mRNA and protein in NEU3 siRNA group were significantly decreased compared with blank control group, while the viability and apoptotic rate of the cells with NEU3 siRNA transfection were increased (P<0.05).However, the protein expression of MMP2 and the invasion ability of the cells were not significantly changed after NEU3 siRNA treatment.CONCLUSION:The inhibition of NEU3 in enzyme activity and expression decreases the viability, and enhances the apoptosis of human prostate cancer DU145 cells.However, it has no obvious effect on the invasion ability of DU145 cells.

OBJECTIVE: Larotaxel is a new chemical structure drug, which has not been marketed worldwide. Accordingly, the standard identification and quantification methods for larotaxel remain unclear. The spectrometric analyses were performed for verifying weight molecular formula, molecular weight and chemical structure of larotaxel. Besides, a quantification method was developed for measuring larotaxel in the liposomes. METHODS: The molecular formula, molecular weight and chemical structure of larotaxel were studied by using mass spectrometry (MS), infra-red (IR), nuclear magnetic resonance (NMR) and ultraviolet-visible (UV-vis) spectrometric techniques. The absorption wavelength of larotaxel was investigated by UV-vis spectrophotometry full-wavelength scanning. Besides, a quantification method was developed by high performance liquid chromatography (HPLC), and then validated by measuring the encapsulation efficacy of larotaxel liposomes. RESULTS: The four spectral characteristics of larotaxel were revealed and the corresponding standard spectra were defined. It was confirmed that larotaxel had the structure of tricyclic diterpenoids, with the molecular formula of C45H53NO14, the molecular weight of 831.900 1, and the maximum absorption wavelength of 230 nm. The quantitative method of larotaxel was established by using HPLC with a reversed phase C18 column (5 μm, 250 mm×4.6 mm), a mobile phase of acetonitrile-water (75:25, volume/volume), and a detection wavelength of 230 nm. The validation study exhibited that the established HPLC method was stable, and had a high recovery and precision in the quantitative measurement of larotaxel in liposomes. In addition, a new kind of larotaxel liposomes was also successfully prepared. The particle size of the liposomes was about 105 nm, with an even size distribution. And the encapsulation efficiency of larotaxel in the liposomes was above 80%. CONCLUSION The present study offers reference standard spectra of larotaxel, including MS, IR, NMR, and UV-vis, and confirms the molecular formula, molecular weight and chemical structure of larotaxel. Besides, the study develops a rapid HPLC method for quality control of larotaxel liposomes.
Chromatography, High Pressure Liquid ; Liposomes ; Magnetic Resonance Spectroscopy ; Taxoids

To achieve fast and accurate analysis of weak current signal of nanopore-based single molecule detection, we designed a real-time adaptive threshold data processing algorithm with data buffering technique and finite impulse response filtering. The system, which is designed based on the data processing algorithm, could realize real-time recognition and analysis of nanopore events during the data recording process. In order to verify the performance of the system, the ideal signals with different noise level (20-100 pA) and recording bandwidth (3 - 100 kHz) was generated. The results showed that the system was stable to analyze the generated signals even at high noise. In addition, the system was also suitable for the data recording conditions of low bandwidth and high sampling rate (250 kHz). The proposed nanopore data processing system was further applied in the Aerolysin nanopore experiment for the detection of poly(dA) 4 molecules. The results showed that the data processing system could be applied in real nanopore recording system with high accuracy and speed.

Sialic acids are a subset of nine-carbon alpha-keto aldonic acids involved in various biological functions. Sialic acid on the sperm surface is closely related to sperm maturation and capacitation and sperm-egg recognition, which makes sperm negatively charged to avoid accumulation and covers some antigenic determinants there to increase the survival rate of sperm in the female reproductive tract. The loss of sialic acids is an important factor mediating sperm capacitation. Moreover, the sialic acid at the extremity of the protein polymer is involved in signal identification in sperm-egg recognition. Here, we review the current understanding of sialic acids in sperm maturation and capacitation and sperm-egg recognition.