EFFECTS OF BACKPACK LOADS ON NECK-TRUNK MUSCLE ACTIVATION AMONG OFFICE WORKERS

The main purposes of this study were to investigate the effect of weight carriage on necktrunk muscle activation during standing and walking among office workers and to compare electromyography activation between healthy and symptomatic office workers. Twenty-one participants were recruited. Three load trials (0%, 10%, and 15% BW) and two conditions (standing and walking) were encountered. Repeated measure ANOVA was used to test main effect of load and condition on kinetic data. There was a significant condition*load interaction on right trapezius. Significantly increasing activation of right abdominis was found as carrying 15% BW. There was a significant decrease on activation of left erector spinae while carrying 10% BW. Considering to electromyography data, we suggest the backpack load under 10% BW was suitable for office workers

Carbon monoxide may enhance bile secretion by increasing glutathione excretion and Mrp2 expression in rats

AbstractBackgroundNitric oxide (NO) donors have been reported to induce choleresis via an increased excretion of glutathione. The effects of another gas molecule, carbon monoxide (CO), on bile formation are, however, inconsistent among previous reports. We investigated the sequential changes of bile output and the biliary contents in rats with or without CO supplementation to elucidate the mechanism of CO on bile excretion.MethodsDichloromethane (DCM) was gastrically fed to male Sprague–Dawley rats to yield CO by liver biotransformation. The rats were divided into DCM-treated (n = 7), DCM plus L-NAME-treated (n = 6), and corn oil-treated-(n = 8) groups. Bile samples were collected hourly to examine the flow rate and bile content. Serum levels of nitrite and nitrate 4 hours after DCM supplementation with or without NO synthase (NOS) inhibition were measured by capillary electrophoresis. The expression of hepatic inducible NOS was evaluated by Western blotting 6 hours after DCM administration.ResultsLevels of carboxyhemoglobin rose to around 10% at 4 hours after DCM supplementation and were maintained until the end of the experiments. Bile flow increased after DCM supplementation and was associated with a concomitant increase of biliary glutathione and higher hepatic multidrug resistance-associated protein 2 (Mrp2) expression. Hepatic inducible NOS expression and serum nitrate/nitrite levels were also increased. Treatment with an NOS inhibitor (L-NAME) abolished the CO-induced glutathione excretion and choleresis, but not Mrp2 expression.ConclusionThe present study demonstrated that CO enhanced biliary output in conjunction with NO by increasing the biliary excretion of glutathione. The increment in biliary glutathione was associated with an increased expression of hepatic Mrp2

Global Metabolomic Profiling Reveals an Association of Metal Fume Exposure and Plasma Unsaturated Fatty Acids

Background: Welding-associated air pollutants negatively affect the health of exposed workers; however, their molecular mechanisms in causing disease remain largely unclear. Few studies have systematically investigated the systemic toxic effects of welding fumes on humans. Objectives: To explore the effects of welding fumes on the plasma metabolome, and to identify biomarkers for risk assessment of welding fume exposure. Methods: The two-stage, self-controlled exploratory study included 11 boilermakers from a 2011 discovery panel and 8 boilermakers from a 2012 validation panel. Plasma samples were collected pre- and post-welding fume exposure and analyzed by chromatography/mass spectrometry. Results: Eicosapentaenoic or docosapentaenoic acid metabolic changes post-welding were significantly associated with particulate (PM2.5) exposure (p<0.05). The combined analysis by linear mixed-effects model showed that exposure was associated with a statistically significant decline in metabolite change of eicosapentaenoic acid [(95% CI) = −0.013(−0.022∼−0.004); p = 0.005], docosapentaenoic acid n3 [(95% CI) = −0.010(−0.018∼−0.002); p = 0.017], and docosapentaenoic acid n6 [(95% CI) = −0.007(−0.013∼−0.001); p = 0.021]. Pathway analysis identified an association of the unsaturated fatty acid pathway with exposure (pStudy−2011 = 0.025; pStudy−2012 = 0.021; pCombined = 0.009). The functional network built by these fatty acids and their interactive genes contained significant enrichment of genes associated with various diseases, including neoplasms, cardiovascular diseases, and lipid metabolism disorders. Conclusions: High-dose exposure of metal welding fumes decreases unsaturated fatty acids with an exposure-response relationship. This alteration in fatty acids is a potential biological mediator and biomarker for exposure-related health disorders

Pulmonary function change in patients with Sauropus androgynus-related obstructive lung disease 15 years later

Background/PurposeLittle is understood about the clinical course and prognosis of patients with Sauropus androgynus-related obstructive lung disease. The aim of this study was to investigate their clinical manifestations and pulmonary function change 15 years after the acute episode.MethodsA descriptive, observational study of patients with S androgynus-related obstructive lung disease, diagnosed 15 years ago, was conducted. We evaluated their pulmonary function and the Modified Medical Research Council (MMRC) dyspnea scale. Saint George’s Respiratory Questionnaire (SGRQ) was also performed. Age- and forced expiratory volume in one second (FEV1)-matched chronic obstructive pulmonary disease (COPD) patients were used as a reference group for comparison of clinical manifestations.ResultsTwenty-nine of 49 patients, diagnosed at our hospital 15 years ago, could be contacted. Four patients died and one patient was ventilator-dependent. Sixteen patients were willing to come to our hospital to have pulmonary function and questionnaire evaluation. The FEV1 of these patients declined only 1.6 ± 21.6 mL/year over a 15-year period. Meanwhile, the severity of their dyspnea and their health-related quality of life were better than age- and FEV1-matched COPD patients as shown by the MMRC dyspnea scale (1.4 ± 0.8 vs. 2.0 ± 1.0; p = 0.037) and symptom domain of the SGRQ (32.6 ± 18.4 vs. 43.5 ± 20.3; p = 0.006).ConclusionAfter an acute deterioration, patients with S androgynus-related obstructive lung disease had a stationary pulmonary function over a period of 15 years, and their clinical manifestations were less severe than age- and FEV1-matched COPD patients. A further study with a larger sample size may be needed to confirm these findings

Application of Scutellariae radix

Salmonella enterica serovar Choleraesuis, a host-adapted pathogen of swine, usually causes septicemia. Lactic acid bacteria (LAB) strains have been widely studied in recent years for their probiotic properties. In this study, a mouse infection model first screened for potential agents against infection, then a pig infection model evaluated effects of LAB strains and herbal plants against infection. Scutellariae radix (SR) and Gardeniae fructus (GF) showed abilities to reduce bacteria shedding and suppressing serum level of TNF-α induced by infection in swine. Bioactivities of SR and GF were enhanced by combining with LAB strains, which alone could speed up the bacteria elimination time in feces and boost immunity of infected pigs. Baicalein and genipin exhibited stronger cytotoxicity than baicalin and geniposide did, as well as prevent Salmonella from invading macrophages. Our study suggests LAB strains as exhibiting multiple functions: preventing infection, enhancing immunity to prepare host defenses against further infection, and adjusting intestinal microbes’ enzymatic activity in order to convert herbal compounds to active compounds. The SR/GF-LAB strain mixture holds potential infection-prevention agents supplied as feed additives

Caries and Restoration Detection Using Bitewing Film Based on Transfer Learning with CNNs

Caries is a dental disease caused by bacterial infection. If the cause of the caries is detected early; the treatment will be relatively easy; which in turn prevents caries from spreading. The current common procedure of dentists is to first perform radiographic examination on the patient and mark the lesions manually. However; the work of judging lesions and markings requires professional experience and is very time-consuming and repetitive. Taking advantage of the rapid development of artificial intelligence imaging research and technical methods will help dentists make accurate markings and improve medical treatments. It can also shorten the judgment time of professionals. In addition to the use of Gaussian high-pass filter and Otsu’s threshold image enhancement technology; this research solves the problem that the original cutting technology cannot extract certain single teeth; and it proposes a caries and lesions area analysis model based on convolutional neural networks (CNN); which can identify caries and restorations from the bitewing images. Moreover; it provides dentists with more accurate objective judgment data to achieve the purpose of automatic diagnosis and treatment planning as a technology for assisting precision medicine. A standardized database established following a defined set of steps is also proposed in this study. There are three main steps to generate the image of a single tooth from a bitewing image; which can increase the accuracy of the analysis model. The steps include (1) preprocessing of the dental image to obtain a high-quality binarization; (2) a dental image cropping procedure to obtain individually separated tooth samples; and (3) a dental image masking step which masks the fine broken teeth from the sample and enhances the quality of the training. Among the current four common neural networks; namely; AlexNet; GoogleNet; Vgg19; and ResNet50; experimental results show that the proposed AlexNet model in this study for restoration and caries judgments has an accuracy as high as 95.56% and 90.30%; respectively. These are promising results that lead to the possibility of developing an automatic judgment method of bitewing film

A High-Accuracy Detection System: Based on Transfer Learning for Apical Lesions on Periapical Radiograph

Apical Lesions, one of the most common oral diseases, can be effectively detected in daily dental examinations by a periapical radiograph (PA). In the current popular endodontic treatment, most dentists spend a lot of time manually marking the lesion area. In order to reduce the burden on dentists, this paper proposes a convolutional neural network (CNN)-based regional analysis model for spical lesions for periapical radiographs. In this study, the database was provided by dentists with more than three years of practical experience, meeting the criteria for clinical practical application. The contributions of this work are (1) an advanced adaptive threshold preprocessing technique for image segmentation, which can achieve an accuracy rate of more than 96%; (2) a better and more intuitive apical lesions symptom enhancement technique; and (3) a model for apical lesions detection with an accuracy as high as 96.21%. Compared with existing state-of-the-art technology, the proposed model has improved the accuracy by more than 5%. The proposed model has successfully improved the automatic diagnosis of apical lesions. With the help of automation, dentists can focus more on technical and medical diagnoses, such as treatment, tooth cleaning, or medical communication. This proposal has been certified by the Institutional Review Board (IRB) with the certification number 202002030B0