[Effect of Wenyang Decoction on the Differentiation of CD34+ Progenitor Cells in Occupational Asthma Model Rats].

OBJECTIVE: To study the effect of Wenyang Decoction (WD) on the differentiation of CD34+ progenitor cells of occupational asthma (OA) model rats. METHODS: Fifty healthy male SD rats were randomly divided into five groups, i.e., the model group, the blank control group,the WD group,the Western medicine group,the combined group, 10 in each group. Prednisone suspension (10 mg/kg) was administered to rats in the Western medicine group by gastrogavage. WD (20 g/kg) was administered to rats in the WD group by gastrogavage. Prednisone suspension plus WD was administered to rats in the combined group by gastrogavage. Normal saline was administered to rats in the model group and the blank control group by gastrogavage. The general condition of rats was observed. Expression levels of peripheral blood IL-5 and eotaxin, eosinophils (EOS), CD34+, CC chemokine receptor 3 (CCR3+) in bone marrow suspension were detected by ELISA, Wirght-Giemsa, and flow cytometry, respectively. RESULTS: Compared with the blank control group,expression levels of IL-5 and eotaxin in peripheral blood were significantly higher (P < 0.01), and the count of EOS and CD34+ cells, as well as CD34+ /CCR3+ significantly increased (P < 0.01) in the model group. Compared with the model group, expression levels of IL-5 and eotaxin, the count of EOS, CD34+ cells, CD34+ / CCR3+ were lowered in three treated groups (P < 0.01). Compared with the Western medicine group, the count of EOS and CD34+ / CCR3+ decreased in the combined group (P < 0.01). The count of EOS was significantly lower in the combined group than in the WD group (P < 0.01). CONCLUSION: WD could reduce levels of in vivo inflammatory factors, and restrain the differentiation and recruitment of EOS,thereby alleviating the differentiation of CD34 progenitor cells to EOS.

[High Expression of co-stimulatory molecule CD40 in silicosis patients and intervention effect of yiqi huoxue decoction].

OBJECTIVE: To study whether co-stimulatory molecule CD40 of alveolar macrophage (AM) participated in the occurrence and development of silicosis, and to explore the intervention of Yiqi Huoxue Decoction (YHD) in the fibrosis of silicosis patients. METHODS: Totally 46 silicosis inpatients and outpatients were recruited and randomly assigned to the Western treatment group (A) and the Chinese medicine (CM) treatment group (B), 23 in each group. Patients in Group A received routine symptomatic treatment such as anti-inflammation, phlegm resolving, anti-spasm, and asthma relief, and so on. Patients in Group B additionally took YHD, one dose daily for 14 successive days. Besides, another 18 patients with chronic cough and sense of laryngeal foreign bodies were recruited as the normal control group, who had no obvious lesion confirmed by bronchofi6roscope and clinical diagnosis of the lung. They were treated by symptomatic supporting treatment. The alveolar lavage fluid was collected from all patients and isolated, and AM cells were cultured. The level of CD40 mRNA was detected by RT-PCR. The expression of CD40 protein was detected by Western blot. RESULTS: Compared with the normal control group, expression levels of CD40 mRNA and CD40 protein significantly increased in Group A (P < 0.01). Compared with Group A, expression levels of CD40 mRNA and CD40 protein significantly decreased in Group B (P < 0.01). CONCLUSIONS: Highly expressed co-stimulatory molecule CD40 of AM might participate in pulmonary fibrosis. YHD could hinder its roles, inhibit the progression of fibrosis, thereby playing an interventional role of treatment.

Explainable machine learning predictions of perceptual sensitivity for retinal prostheses.

Objective.Retinal prostheses evoke visual precepts by electrically stimulating functioning cells in the retina. Despite high variance in perceptual thresholds across subjects, among electrodes within a subject, and over time, retinal prosthesis users must undergo 'system fitting', a process performed to calibrate stimulation parameters according to the subject's perceptual thresholds. Although previous work has identified electrode-retina distance and impedance as key factors affecting thresholds, an accurate predictive model is still lacking.Approach.To address these challenges, we (1) fitted machine learning models to a large longitudinal dataset with the goal of predicting individual electrode thresholds and deactivation as a function of stimulus, electrode, and clinical parameters ('predictors') and (2) leveraged explainable artificial intelligence (XAI) to reveal which of these predictors were most important.Main results.Our models accounted for up to 76% of the perceptual threshold response variance and enabled predictions of whether an electrode was deactivated in a given trial with F1 and area under the ROC curve scores of up to 0.732 and 0.911, respectively. Our models identified novel predictors of perceptual sensitivity, including subject age, time since blindness onset, and electrode-fovea distance.Significance.Our results demonstrate that routinely collected clinical measures and a single session of system fitting might be sufficient to inform an XAI-based threshold prediction strategy, which has the potential to transform clinical practice in predicting visual outcomes.

Explainable Machine Learning Predictions of Perceptual Sensitivity for Retinal Prostheses.

To provide appropriate levels of stimulation, retinal prostheses must be calibrated to an individual's perceptual thresholds ('system fitting'), despite thresholds varying drastically across subjects, across electrodes within a subject, and over time. Although previous work has identified electrode-retina distance and impedance as key factors affecting thresholds, an accurate predictive model is still lacking. To address these challenges, we 1) fitted machine learning (ML) models to a large longitudinal dataset with the goal of predicting individual electrode thresholds and deactivation as a function of stimulus, electrode, and clinical parameters ('predictors') and 2) leveraged explainable artificial intelligence (XAI) to reveal which of these predictors were most important. Our models accounted for up to 77% of the perceptual threshold response variance and enabled predictions of whether an electrode was deactivated in a given trial with F1 and AUC scores of up to 0.740 and 0.913, respectively. Deactivation and threshold models identified novel predictors of perceptual sensitivity, including subject age, time since blindness onset, and electrode-fovea distance. Our results demonstrate that routinely collected clinical measures and a single session of system fitting might be sufficient to inform an XAI-based threshold prediction strategy, which may transform clinical practice in predicting visual outcomes.

Ziwuliuzhu Acupuncture Modulates Clock mRNA, Bmal1 mRNA and Melatonin in Insomnia Rats.

Background: In clinics, Ziwuliuzhu acupuncture is widely considered an effective method of treating insomnia; however, there is currently limited information available regarding its possible mechanisms. Although the method of Ziwuliuzhu acupuncture possesses a unique rhythmic pattern. Objectives: In this study, we have creatively combined the traditional Chinese medicine of Ziwuliuzhu with a modern biological rhythm to investigate the internal mechanism of insomnia. Methods: Pathological tissue from the hypothalamus was analyzed using hematoxylin-eosin staining. The level of TNF (tumor necrosis factor)-α in the SCN (suprachiasmatic nucleus) area of the hypothalamus was detected in situ using the TUNEL fluorescence staining assay. The concentration of hypothalamic melatonin was detected using the enzyme-linked immunosorbent assay (ELISA). The mRNA expression of Clock and Bmal1 was measured using RT-qPCR. Results: In the Ziwuliuzhu acupuncture groups, the structural damage in the hypothalamic neurons was alleviated compared to the model group and the expression of inflammatory factors was reduced. The mRNA expression levels of Clock and Bmal1 were significantly increased (p < 0.05). The concentration of melatonin was significantly increased (p < 0.001). Although there were no significant differences between the treatment groups (diazepam group, Nazi group, Najia group, and routine group) (p > 0.05). Conclusion: Ziwuliuzhu acupuncture alleviated neuronal damage and modulated the inflammatory reaction in the hypothalamus of rats with insomnia. Moreover, Ziwuliuzhu acupuncture increased the expression levels of Clock and Bmal1 mRNA, and MT content. This study has potentially highlighted one of the mechanisms through which Ziwuliuzhu acupuncture can be used to treat insomnia.

[Clinical value of noninvasive intermittent positive-pressure ventilation in pneumoconiosis combined with respiratory failure].

OBJECTIVE: To evaluate the value of noninvasive intermittent positive-pressure ventilation (NIPPV) in treatment of patients with pneumoconiosis combined with respiratory failure. METHOD: Three were 46 inpatients with pneumoconiosis combined with respiratory failure. Twenty-six inpatients treated with conventional therapy and NIPPV were categorized as treatment group; Twenty inpatients just treated by conventional therapy served as control group. Compared with the changes of HR, RR and arterial blood gas index (PH, PaCO2, PaO2) in two groups after treatment. RESULTS: The effective ratio of treatment group was 88.5%, control group was 60%, which had significant difference (P < 0.05); The HR in treatment group after treatment was (95.38 +/- 10.75) beats per minute, control group was [(103.00 +/- 12.56) beats per minute; The RR in treatment group was (21.69 +/- 1.37) breaths per minute, control group was [(22.60 +/- 1.57) breaths per minute]; The PaCO2 in treatment group was (52.88 +/- 10.75)mm Hg, control group was [(59.66 +/- 11.49)mm Hg]; All of those were significantly decreased than those in control group (P < 0.05). The PaO2 in treatment group was (100.77 +/- 25.3) mm Hg, control group was [(71.82 +/- 17.94) mmHg]; Compared with the control group, PaO2 in the treatment group increased significantly (P < 0.05). CONCLUSION: NIPPV is beneficial to pneumoconiosis combined with respiratory failure in different degrees.

Screening the Influence of Biomarkers for Metabolic Syndrome in Occupational Population Based on the Lasso Algorithm.

Aim: Metabolic syndrome (MS) screening is essential for the early detection of the occupational population. This study aimed to screen out biomarkers related to MS and establish a risk assessment and prediction model for the routine physical examination of an occupational population. Methods: The least absolute shrinkage and selection operator (Lasso) regression algorithm of machine learning was used to screen biomarkers related to MS. Then, the accuracy of the logistic regression model was further verified based on the Lasso regression algorithm. The areas under the receiving operating characteristic curves were used to evaluate the selection accuracy of biomarkers in identifying MS subjects with risk. The screened biomarkers were used to establish a logistic regression model and calculate the odds ratio (OR) of the corresponding biomarkers. A nomogram risk prediction model was established based on the selected biomarkers, and the consistency index (C-index) and calibration curve were derived. Results: A total of 2,844 occupational workers were included, and 10 biomarkers related to MS were screened. The number of non-MS cases was 2,189 and that of MS was 655. The area under the curve (AUC) value for non-Lasso and Lasso logistic regression was 0.652 and 0.907, respectively. The established risk assessment model revealed that the main risk biomarkers were absolute basophil count (OR: 3.38, CI:1.05-6.85), platelet packed volume (OR: 2.63, CI:2.31-3.79), leukocyte count (OR: 2.01, CI:1.79-2.19), red blood cell count (OR: 1.99, CI:1.80-2.71), and alanine aminotransferase level (OR: 1.53, CI:1.12-1.98). Furthermore, favorable results with C-indexes (0.840) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram. Conclusions: The risk assessment model based on the Lasso logistic regression algorithm helped identify MS with high accuracy in physically examining an occupational population.

Quantification of left ventricular regional myocardial function using two-dimensional speckle tracking echocardiography in healthy volunteers--a multi-center study.

BACKGROUND: Although two-dimensional speckle tracking (2DST) has been validated in animal and early clinical studies for quantitative evaluation of myocardial motion and contractility, there are only limited measurements in large healthy population to be used as reference data, which severely restricts its clinical application. This study aimed at determining the age-specific normal values of left ventricular (LV) longitudinal, circumferential and radial strain in healthy adults. METHODS: We studied 228 healthy subjects (109 males, mean age 44 ± 15 years, range 18-78 years). Their LV longitudinal, circumferential and radial strains were measured by 2DST at basal, middle and apical levels of parasternal short-axis and apical 2-, 4- and 3-chamber views. The effects of age, gender and echocardiographic machines (52 patients had measurements obtained by both GE and Philips machines) on these parameters were also evaluated. RESULTS: The longitudinal and circumferential strains were -20.4 ± 3.4% and -22.9 ± 3.1%, respectively with higher values being observed at basal than apical segments. On the contrary, the radial strain which ranged 42.6 ± 12.9% decreased towards apical segments. The longitudinal strain declined, the circumferential strain rose and the radial strain remained similar during aging. Adult females had slightly higher circumferential and longitudinal strains than males (23 ± 3% vs -22 ± 3%, -21 ± 3% vs -20 ± 3% respectively; both p<0.01). Strains measured by the 2 different echo machines had good correlations but Phillips-assessed strains (longitudinal and circumferential) were 10% higher than GE measurements. Inter- and intra-observer variabilities were acceptable. CONCLUSIONS: Strain measurements by 2DST echocardiography varies with age, gender and echocardiographic vendors in healthy adults. These findings are important to differentiate between health and disease and to assess the severity of disease.