Decreased fasting serum glucogenic amino acids with a higher compared to normal protein diet during energy restriction in women: a randomized controlled trial

Dietary protein alters circulating amino acid (AAs) levels and higher protein intake (HP) is one means of losing weight. We examined 34 overweight and obese women (57 ± 4 years) during 6 months of energy restriction (7.3 ± 3.8% weight loss) divided into groups consuming either normal protein (NP; 18.6 energy% protein) or HP (24.3 energy% protein). There was a reduction in fasting serum glucogenic AAs (p = 0.015) that also associated with greater weight loss (p < 0.05) in the HP group, but not in the NP group. These findings have implications for nutrient prioritization during energy restriction.

Genome-wide scanning for CHD1L gene in papillary thyroid carcinoma complicated with type 2 diabetes mellitus

PURPOSE

Papillary thyroid carcinoma (PTC) represents the most common subtype of thyroid cancer (TC). This study was set out to explore the potential effect of CHD1L on PTC and type 2 diabetes mellitus (T2DM).

METHODS

We searched for T2DM susceptibility genes through the GWAS database and obtained T2DM-related differentially expressed gene from the GEO database. The expression and clinical data of TC and normal samples were collated from the TCGA database. Receiver operating characteristic (ROC) curve analysis was subsequently applied to assess the sensitivity and specificity of the CHD1L for the diagnosis of PTC. The MCP-counter package in R language was then utilized to generate immune cell score to evaluate the relationship between CHD1L expression and immune cells. Then, we performed functional enrichment analysis of co-expressed genes and DEGs to determine significantly enriched GO terms and KEGG to predict the potential functions of CHD1L in PTC samples and T2DM adipose tissue.

RESULTS

From two genes (ABCB9, CHD1L) were identified to be DEGs (p < 1 * 10^-5) that exerted effects on survival (HR > 1, p < 0.05) in PTC and served as T2DM susceptibility genes. The gene expression matrix-based scoring of immunocytes suggested that PTC samples with high and low CHD1L expression presented with significant differences in the tumor microenvironment (TME). The enrichment analysis of CHD1L co-expressed genes and DEGs suggested that CHD1L was involved in multiple pathways to regulate the development of PTC. Among them, Kaposi sarcoma-associated herpesvirus infection, salmonella infection and TNF signaling pathways were highlighted as the three most relevant pathways. GSEA analysis, employed to analyze the genome dataset of PTC samples and T2DM adipose tissue presenting with high and low expression groups of CHD1L, suggests that these differential genes are related to chemokine signaling pathway, leukocyte transendothelial migration and TCELL receptor signaling pathway.

CONCLUSION

CHD1L may potentially serve as an early diagnostic biomarker for PTC, and a target of immunotherapy for PTC and T2DM.

MiRNA-324-5p inhibits inflammatory response of diabetic vessels by targeting CPT1A

OBJECTIVE

The purpose of this study was to elucidate the regulatory role of microRNA-324-5p (miRNA-324-5p) in inhibiting inflammatory response of diabetic vessels by regulating CPT1A level, thus alleviating the development of type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

Arterial vessels (splenic artery) and serum exosomes were extracted from 30 T2DM patients and 30 non-T2DM subjects treated in Binzhou People's Hospital from 2015 to 2019. Relative levels of miRNA-324-5p and CPT1A in each subject were detected. Then, VSMCs were induced with high-glucose, followed by detection of inflammatory factor levels. Next, the regulatory effects of miRNA-324-5p and CPT1A on viability, 5-Ethynyl-2'-deoxyuridine (EdU)-positive ratio, and release of inflammatory factors in VSMCs were determined. Finally, Dual-Luciferase reporter assay was conducted to verify the interaction between miRNA-324-5p and CPT1A.

RESULTS

The results revealed that compared with non-T2DM subjects, miRNA-324-5p was downregulated in splenic arteries and exosomes in T2DM patients. High-glucose treatment in VSMCs triggered the release of the inflammatory factors. In addition, the overexpression of miRNA-324-5p in VSMCs reduced viability and inflammatory factor levels, and the inhibited trends were partially reversed by overexpression of CPT1A. CPT1A was indicated to be the target gene binding miRNA-324-5p.

CONCLUSIONS

MiRNA-324-5p exerts an inhibitory effect on T2DM-induced inflammation in blood vessels by negatively regulating CPT1A level and reducing the release of inflammatory factors. MiRNA-324-5p might be a promising therapeutic target for T2DM.

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning

Accurate segmentation of the jaw (i.e., mandible and maxilla) and the teeth in cone beam computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment planning. Although various (semi)automated methods have been proposed to segment the jaw or the teeth, there is still a lack of fully automated segmentation methods that can simultaneously segment both anatomic structures in CBCT scans (i.e., multiclass segmentation). In this study, we aimed to train and validate a mixed-scale dense (MS-D) convolutional neural network for multiclass segmentation of the jaw, the teeth, and the background in CBCT scans. Thirty CBCT scans were obtained from patients who had undergone orthodontic treatment. Gold standard segmentation labels were manually created by 4 dentists. As a benchmark, we also evaluated MS-D networks that segmented the jaw or the teeth (i.e., binary segmentation). All segmented CBCT scans were converted to virtual 3-dimensional (3D) models. The segmentation performance of all trained MS-D networks was assessed by the Dice similarity coefficient and surface deviation. The CBCT scans segmented by the MS-D network demonstrated a large overlap with the gold standard segmentations (Dice similarity coefficient: 0.934 ± 0.019, jaw; 0.945 ± 0.021, teeth). The MS-D network–based 3D models of the jaw and the teeth showed minor surface deviations when compared with the corresponding gold standard 3D models (0.390 ± 0.093 mm, jaw; 0.204 ± 0.061 mm, teeth). The MS-D network took approximately 25 s to segment 1 CBCT scan, whereas manual segmentation took about 5 h. This study showed that multiclass segmentation of jaw and teeth was accurate and its performance was comparable to binary segmentation. The MS-D network trained for multiclass segmentation would therefore make patient-specific orthodontic treatment more feasible by strongly reducing the time required to segment multiple anatomic structures in CBCT scans.

Y-shaped airway self-expanding covered metallic stent removal via the interventional technique

AIM

To review the removal of Y-shaped airway self-expanding covered metallic stents using the interventional technique under fluoroscopy.

MATERIALS AND METHODS

The clinical data of 33 patients who underwent removal of Y-shaped airway self-expanding covered metallic stents from March 2011 to August 2019 were analysed retrospectively.

RESULTS

A total of 35 Y-shaped stents were removed. The average indwelling duration of the tracheal stents was 101.7 ± 105.4 days. Four cases were removed via the conventional method (grasping the upper tip of the stent to collapse and adduct the proximal end of the stent), whereas 31 cases were removed using the reversal method (grasping the distal end of the stent to invert and strip out the stent). The duration of stent removal was 24.3 ± 12.4 minutes (median time, 20 minutes).

CONCLUSION

The interventional radiology technique is a feasible, safe, and effective method for removing Y-shaped airway self-expanding covered metallic stents, and can be considered for use in the clinical setting.

A3 THE LOSS OF THE CIRCADIAN CLOCK GENE BMAL1 INCREASES TUMOUR INITIATION IN APCMIN MICE

Background

Circadian rhythms are autonomously running 24h cycles in bodily processes. In animals these rhythms are driven by a molecular time keeper known as the circadian clock. The clock is a transcription-translation feedback loop composed of the transcription factors Bmal1 and Clock as well as their repressors Per and Cry. The circadian clock regulates over 40% of the genome rhythmically. Chronic circadian disruption, in the case of shift work, can lead to pathologies including cancer. Colorectal cancer is most frequently initiated through a mutation in the Wnt pathway regulator, Apc. Several studies have attempted to provide a mechanistic link between cancer and circadian clock disruption but the use of mice on mixed genetic backgrounds and poor circadian models have made this link unclear.

Aims

We aim to determine if the circadian clock plays a role in intestinal tumourigenesis.

Methods

We crossed the Apcmin mouse strain, a common intestinal tumour model, with Bmal1 mutant mice, which lack a functioning circadian clock. After creating an isogenic strain, we examined the number of tumours in control (Bmal1+/+) and clock dead (Bmal1-/-) animals. We derived organoids, a 3D cell culture method, from Apc+/+; Bmal1+/+ (healthy, clock-live), Apc+/+, Bmal1-/-(healthy, clock-dead), Apcmin; Bmal1+/+(adenoma, clock-live), Apcmin; Bmal1-/- (adenoma, clock-live) mouse ileum and collected every 2h from 24-48h after synchronizing their circadian clock. Collected samples were sent for RNA sequencing and assessed for circadian regulated transcripts. This experiment was followed up by in vitro organoid assays.

Results

The circadian clock controls 41 genes in the intestinal epithelium, including genes like Tead4 which are known to be important in intestinal biology. There are twofold more tumours in Bmal1-/- mice than their Bmal1+/+ littermates, and Bmal1-/- tumours upregulate Tead4 and Hippo pathway targets and downregulate Wnt pathway targets. Bmal1-/- adenoma organoids show increased self-renewal when compared to Bmal1+/+ adenoma organoids. However, this increase in self-renewal is lost when organoids are treated with inhibitors of the hippo pathway.

Conclusions

The circadian clock is important in maintaining the health of an organism, and disruption of the clock can lead to many health consequences including cancer. We show for the first time that the circadian clock controls the hippo signaling mediator Tead4. Additionally, we show that the loss of the clock leads to an increase in the number of tumours present in the epithelium which are characterized by an increase in hippo signaling. This research shows the important of considering time of day when studying stem cells during homeostasis and in cancer.

Funding Agencies

CIHRNSERC

Paraoxonase 2 protects against oxygen-glucose deprivation/reoxygenation-induced neuronal injury by enhancing Nrf2 activation via GSK-3β modulation

Paraoxonase 2 (PON2) is a powerful antioxidant that mediates cell survival under oxidative stress; however, its protection neurons against cerebral ischemia-reperfusion injury-induced oxidative stress remains unclear. This study aimed to determine the precise regulating role of PON2 in neuronal survival under oxidative stress. An in vitro model of cerebral ischemia-reperfusion injury was used to assess the effect of PON2 on oxidative stress induced by oxygen-glucose deprivation/reoxygenation (OGD/R). Results showed that PON2 expression in neurons was decreased due to OGD/R exposure. A series of functional experiments revealed that upregulated PON2 improved OGD/R-impaired viability and attenuated OGD/R-induced increases in apoptosis and reactive oxygen species in neurons. Decreased PON2 expression enhanced neuronal sensitivity to OGD/R-induced injury. Overexpressed PON2 markedly enhanced the expression of nuclear factor erythroid 2-related factor 2 (Nrf2) in the nucleus and increased the levels of Nrf2-mediated transcriptional activity. Furthermore, PON2 enhanced the Nrf2 activation by modulating glycogen synthase kinase-3β (GSK-3β). Inhibition of GSK-3β substantially abrogated the PON2 knockdown-mediated suppression of Nrf2 activity. Notably, Nrf2 inhibition partially reversed the neuroprotective effects of PON2 overexpression in OGD/R-exposed neurons. These findings indicate that PON2 alleviates OGD/R-induced apoptosis and oxidative stress in neurons by potentiating Nrf2 activation via GSK-3β modulation. This study highlights the potential neuroprotective function of PON2 against cerebral ischemia-reperfusion injury.

[Application of 3D-CT simulation image in the description of gastric artery variation to guide laparoscopic total gastrectomy]

Objective: Anatomic variations in the perigastric vessels during laparoscopic radical gastrectomy often affect the operator's judgment and prolong the operation time, and even cause accidental injury and surgical complications, and hence the safety and quality of the operation cannot be ensured. In this study, multiple slice CT was reconstructed by 3-dimensional CT simulation software (3D-CT), and 3D-CT images were used to describe the variation of celiac trunk and splenic artery before surgery. The guiding role of the different variation of vessels was analyzed for laparoscopic total gastrectomy+D2 lymph node dissection (LTG+D2LD). Methods: A retrospective cohort study was conducted. Case inclusion criteria: (1) Gastric cancer was at an advanced stage. All the patients were preoperatively examined by digestive endoscopy and 64-row enhanced CT scan, and were histopathologically diagnosed with gastric adenocarcinoma. (2) 3D-CT simulation images were reconstructed to guide the operation. (3) LTG+D2LD surgery was performed by the same surgical team. (4) Clinical data were complete, and all the patients had signed the informed consent. From 2014 to 2018, 98 patients with gastric cancer at the Gastrointestinal Surgery Department of Henan Provincial People's Hospital were enrolled. According to the Adachi classification, celiac trunk variation was divided into common type (Adachi type I) and rare type (Adachi type II-VI). According to the Natsume classification, splenic artery was classified into "flat type" and "curved type". Based on 3D-CT simulation images, variation of celiac trunk and splenic artery was described, and the differences in operation time, intraoperative blood loss and the number of postoperative retrieved lymph nodes were compared between groups with different types of arterial variation. Results: For celiac trunk, common type was found in 84 cases (86%) and rare type was found in 14 cases, including 6 cases (6%) of type II, 2 cases (2%) of type III, 2 cases (2%) of type IV, 3 cases (3%) of type V, 1 case (1%) of type VI. No other types were found. There were no statistically significant differences in clinical characteristics and number of retrieved lymph nodes between patients of the common type group and rare type group (all P>0.05). Compared with common type patients, those of rare type had longer operative time [(321.1±29.0) minutes vs. (295.1±46.5) minutes, t=2.081, P=0.040] and more intraoperative blood loss (median: 66.0 ml vs. 32.0 ml, Z=-4.974, P=0.001). For splenic artery, 41 patients (42%) were flat type and 57 patients (58%) were curved type. There were no statistically significant differences between the two groups in terms of clinical characteristics, intraoperative blood loss, operative time and number of retrieved lymph nodes (all P>0.05). Conclusions: The method of describing the variation in the perigastric vessels by 3D-CT simulation has certain clinical value in laparoscopic radical gastrectomy. The duration of LTG+D2LD is prolonged and the intraoperative blood loss is increased with the variation of celiac trunk, while the variation of splenic artery has no effect on LTG+D2LD.

Identifying Efficient Transport Pathways in Early-Wood Timber: Insights from 3D X-ray CT Imaging of Softwood in the Presence of Flow

Wider use of timber has the potential to greatly reduce the embodied carbon of construction. Improved chemical treatment could help overcome some of the barriers to wider application of timber, by furthering the durability and/or mechanical properties of this natural material. Improving timber treatment by treating the whole volume of a piece of timber, or tailored sections thereof, requires sound understanding and validated modelling of the natural paths for fluid flow through wood. In this study we carry out a robust analysis of three-dimensional X-ray CT measurements on kiln-dried softwood in the presence of flow and identify small portions of early-wood which are uniquely capable of transporting fluids—herein ‘efficient transport pathways’. We successfully model the effects of these pathways on the liquid uptake by timber by introducing a spatial variability in the amount of aspiration of the bordered pits following kiln drying. The model demonstrates that fluid advances along these efficient transport paths between 10 and 30 times faster than in the remainder of the timber. Identifying these efficient transport pathways offers scope to improve and extend the degree to which timber properties are enhanced at an industrial scale through processes to impregnate timber.

[The application of 3-dimensional shear wave elastography in the therapeutic effect evaluation of neoadjuvant chemotherapy for Her-2 positive breast cancer patients]

Objective: To investigate the clinic value of ultrasound 3-dimensional shear wave elastography (3D-SWE) in therapeutic effect evaluation of neoadjuvant chemotherapy (NAC) for HER-2 positive breast cancer patients. Methods: A total of 43 lesions from 43 HER-2 positive breast cancer patients were selected and all of the lesions were confirmed by biopsy. Ultrasound examination was performed routinely before each chemotherapy cycle. The interested regions were selected under the 3-dimensional (3D) elasticity and gray-scale mode, the relevant data such as shear waves in the transverse, longitudinal and coronal sections of the mass were generated automatically. According to the histopathological results, the patients were divided into the pathological complete remission (pCR) group and the incomplete remission (non-pCR) group. The maximum elastic hardness value (Emax) and the reduction degree (ΔEmax) of the lesions in the two groups were measured and compared in each cycle of NAC. The accuracy of 3D-SWE technique for predicting the efficacy of NAC was evaluated using indicators such as sensitivity, specificity and area under the receiver operating characteristic (ROC) curve. Results: The clinicopathologic features between pCR group (18 cases) and non-pCR Group (25 cases) were not significantly different (P>0.05). Compared with pre-chemotherapy, the Emax values of pCR group and non-pCR Group during chemotherapy were declined (P<0.05). Moreover, the Emax values of pCR group before and after chemotherapy were lower than those of non-pCR group (P<0.05). At the end of the first cycle of chemotherapy, the predictive specificity, sensitivity and area under the curve (AUC) of pCR group were 72.0%, 83.3% and 0.838 (95%CI=0.680~0.930) respectively when the cutoff value of Emax was 118 kPa. At the end of the second cycle, the predictive specificity, sensitivity and AUC of pCR group were 76.0%, 83.3% and 0.863 (95%CI=0.720~0.940) respectively when the cutoff value of Emax was 87 kPa. At the end of the third cycle, the predictive specificity and sensitivity and the AUC of the pCR group were 88.0%, 77.8% and 0.893 (95%CI=0.760~0.970) when the cutoff value of Emax was 57 kPa. At the end of the fourth cycle of chemotherapy, the predictive specificity, sensitivity and AUC of pCR group were 92.5%, 88.9% and 0.960 (95%CI=0.850~0.990) respectively when the cutoff value of Emax was 30 kPa. After one cycle of NAC, the predictive sensitivity and specificity and AUC of pCR group were 88.0%, 60.0%, and 0.719 (95%CI=0.620~0.890) when the cutoff value of ΔEmax was 16.8%. After two cycles, the predictive sensitivity, specificity and AUC of pCR group were 55.5%, 80.0% and 0.712 (95%CI=0.550~0.840) when the cutoff value of ΔEmax was 34.9%. After three cycles, the predictive sensitivity, specificity and AUC of pCR group were 67.4%, 81.2% and 0.779 (95%CI=0.680~0.930) when the cutoff value of ΔEmax was 55.2%. After four cycles, the predictive sensitivity, specificity and AUC of pCR group was 72.3%, 92.0% and 0.831 (95%CI=0.690~0.930) when the cutoff value of ΔEmax was 75.1%. Conclusion: The Emax and ΔEmax values measured by 3D-SWE technology can predict the curative effect of NAC for breast cancer.

Bioactive metabolites in of Ginkgo biloba leaves: variations by seasonal, meteorological and soil

Ginkgo biloba is a traditional Chinese herbal medicine containing multiple components that contribute to its notable bioactivities. Variations of seasonal, meteorological and planting soil on the phytochemicals contents in G. biloba leaves due to the effects of growth meteorological and soil parameters were investigated in this study. The leaves of G. biloba were collected from different months and place in Zhejiang province, the contents of flavones (quercetin, kaempferol and isorhamnetin) and terpene lactones (bilobalide, ginkgolides A, B and C) were quantified by high performance liquid chromatography (HPLC) and the evaporative light scattering detector (ELSD) method. The established methods were validated with good linearity, precision, repeatability, stability, and recovery. Comprehensive analysis suggested the proper harvest time for G. biloba was in October of Zhejiang province. The result of correlation analysis with meteorological factors shows that the temperature and precipitation have non-significant effect on the main components of G. biloba. In addition, the type and content (Mn and Zn) of the soil showed significantly effect on the content of flavonoids and terpene lactones. This study enriched the knowledge on the development and utilization value of the G. biloba leaves and was useful for determining the optimal harvest time and growing condition.

[The effects of stelleta ganglion resection on heart failure in response to pressure overload]

Objective: To observe the impact and difference of resection of left stellate ganglion (LSG) or right stellate ganglion (RSG) on rats with heart failure. Methods: Thirty male SD rats were divided into 3 groups (n=10 each) by random number table method: control group, LSG group, RSG group. All three groups underwent TAC surgery to establish a pressure-overloaded heart failure model. Then, LSG and RSG were bluntly separated and removed in rats assigned to the LSG group or RSG group by surgery, while rats in the control group underwent sham operation. The changes in blood pressure and heart rate before operation, 30 minutes and 10 weeks after operation were recorded; echocardiography was performed before operation and 10 weeks after operation to detect the thickness of the ventricular septum, left ventricle posterior wall diameter, left ventricular end diastolic diameter, left ventricular end diastolic volume, and calculate the left ventricular fractional shortening and left ventricular ejection fraction. HE staining and Masson staining were performed to observe the degree of myocardial hypertrophy and myocardial fibrosis, and to judge the ventricular remodeling. Results: The heart rates of the three groups of rats were (352.4±4.3), (320.3±4.0) and (297.9±5.9) beats/min, and the blood pressure was (142.8±2.3), (123.4±2.7) and (129.6±2.9) mmHg(1 mmHg=0.133 kPa) at thirty minutes after surgery; the heart rates of the three groups of rats were (352.9±4.0), (321.6±3.4) and (301±4.1) beats/min, and the blood pressure was (145.6±1.9), (124.8±1.7) and (130.4±4.4) mmHg at 10 weeks after surgery. The heart rate and blood pressure in the LSG group and RSG group at 30 min and 10 weeks after surgery were significantly lower than those in the control group; at 10 weeks after surgery, the heart rate in the RSG group was significantly lower than that in the LSG group (P both<0.001). After 10 weeks, rats in the control group developed severe left ventricular dilatation. Degree of left ventricular hypertrophy was significantly reduced in the LSG group and RSG group than in the control group, the thickness of the ventricular septum was (3.2±0.3), (2.5±0.1) and (2.5±0.1) mm; the left ventricular end-diastolic diameters were (7.5±0.3), (5.5±0.3) and (5.7±0.2) mm; the left ventricular end-diastolic volume was (9.5±0.3), (4.5±0.2) and (4.8±0.2) ml; the left ventricular fractional shortening was (21.6±1.3)%, (49.1±3.9)% and (47.4±1.5)%; and the left ventricular ejection fraction was (50.9±2.5)%, (81.9±2.1)% and (80.0±2.3)%, respectively in the control group, LSG group and RSG group. Compared with the control group, the left ventricular posterior wall diameter, left ventricular end-diastolic diameter and left ventricular end-diastolic volume were significantly lower and the left ventricular fractional shortening and left ventricular ejection fraction were significantly higher in the LSG group and RSG group (all P<0.001). 10 weeks after operation, the values of type Ⅰ collagen in the control group, LSG group, and RSG group were (0.354±0.013), (0.211±0.012) and (0.243±0.013), respectively. Ratio of type Ⅰ/Ⅲ collagen was (1.109±0.065), (0.737±0.055) and (0.839±0.075), respectively. Compared with the control group, the ratio of type Ⅰcollagen and ratio of type Ⅰ/Ⅲ collagen were significantly lower in the LSG group and RSG group (P<0.001). Conclusion: Both left and right stellate ganglion resection can similarly reduce ventricular remodeling caused by pressure overload and delay the progression of heart failure in tis TAC rat model.

Comparison of three different types of splints and templates for maxilla repositioning in bimaxillary orthognathic surgery: a randomized controlled trial

The selection and implementation of a plan for maxillary surgery is of the utmost importance in achieving the desired outcome for the patient undergoing two-jaw orthognathic surgery. Some splint-based and splintless methods, accompanied by computer-assisted techniques, are helpful in improving surgical plan implementation. However, randomized controlled trials focused on this procedure are lacking. This study included 61 patients who underwent bimaxillary surgeries. The patients were randomly assigned to a conventional resin occlusal splint (CROS) group, a digital occlusal splint (DOS) group, or a digital templates (DT) group, in a 1:1:1 ratio. The mean linear distance between the planned and actual postoperative positions of eight selected points on the surfaces of the maxillary teeth was selected as the outcome measure. The distance was significantly smaller in the DT group (1.17±0.66mm) when compared to both the CROS group (2.55±0.95mm, P<0.05) and DOS group (2.15±1.12mm, P<0.05). However, the difference between the CROS group and DOS group was not statistically significant. These findings indicate that using digital templates results in the best performance in transferring the surgical plan to the operation environment as compared to the other two types of splints. This suggests that the application of digital templates could provide a reliable treatment option.

Risk factors for bad splits during sagittal split ramus osteotomy: a retrospective study of 964 cases

To identify the potential risk factors for bad splits, we calculated the incidence of bad splits from 484 patients with 964 cases of sagittal split ramus osteotomy (SSRO) and investigated the association between the occurrence of bad splits and risk factors such as gender, patients' age, class of occlusion, unimaxillary or bimaxillary surgery, presence of the lower third molar, thickness of the ascending ramus, and the distance from the mandibular canal to the buccal cortical bone. The results showed that 40 sides (4.149%) with bad splits occurred in 36 patients (7.438%). The mean (SD) gap width from the canal to the buccal cortex for the bad split group, at 4.02 (1.20)mm, was narrower (p=0.003; OR=0.689; 95% CI=0.538 to 0.882) than the normal split group 4.80 (1.72)mm. On the contrary, no statistical significance (p>0.05) was detected between the patients with bad splits and those with normal splits for the other factors. In conclusion, SSRO patients with narrower distances from the mandibular canal to the buccal cortex were more prone to bad splits. More attention should be paid to patients with this risk factor during future surgeries.

Bedaquiline in the treatment of multidrug- and extensively drug-resistant tuberculosis in China

BACKGROUND: Multidrug- and extensively drug-resistant tuberculosis (MDR/XDR-TB) continues to be a challenge in China. Bedaquiline (BDQ) is associated with accelerated sputum culture conversion and favourable treatment outcomes when added to a preferred background regimen. This post-hoc study aimed to assess the outcomes of BDQ treatment in Chinese patients with MDR/XDR-TB.METHODS: Data from 51 Chinese patients who participated in a global Phase 2, open-label, single-arm study (TMC207-C209) were analysed for effectiveness and safety of the BDQ-containing regimen.RESULTS: During the 24-week BDQ treatment, adverse events (AEs) occurred in 48 patients (94.1%), with the most common AE being hyperuricemia. Drug-induced liver injury (DILI) was reported in 13 patients (25.5%); serious DILI was reported in one patient (2.0%). Seven (13.7%) AEs were considered to be possibly related to BDQ by the investigators. Only one Grade 1 QTc prolongation was reported; no QTcF >500 ms was reported. One death occurred after BDQ treatment due to progressive TB. The median time to sputum culture conversion was 85 days based on the 24-week data. The sputum culture conversion rate was 82% at 24 weeks and 78% at 120 weeks; 66% of patients achieved a cure.CONCLUSIONS: BDQ was well-tolerated and effective for treating MDR-TB among Chinese patients.

Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework

The advancement of artificial intelligence concurrent with the development of medical imaging techniques provided a unique opportunity to turn medical imaging from mostly qualitative, to further quantitative and mineable data that can be explored for the development of clinical decision support systems (cDSS). Radiomics, a method for the high throughput extraction of hand-crafted features from medical images, and deep learning -the data driven modeling techniques based on the principles of simplified brain neuron interactions, are the most researched quantitative imaging techniques. Many studies reported on the potential of such techniques in the context of cDSS. Such techniques could be highly appealing due to the reuse of existing data, automation of clinical workflows, minimal invasiveness, three-dimensional volumetric characterization, and the promise of high accuracy and reproducibility of results and cost-effectiveness. Nevertheless, there are several challenges that quantitative imaging techniques face, and need to be addressed before the translation to clinical use. These challenges include, but are not limited to, the explainability of the models, the reproducibility of the quantitative imaging features, and their sensitivity to variations in image acquisition and reconstruction parameters. In this narrative review, we report on the status of quantitative medical image analysis using radiomics and deep learning, the challenges the field is facing, propose a framework for robust radiomics analysis, and discuss future prospects.

Multiple-centre clinical evaluation of an ultrafast single-tube assay for SARS-CoV-2 RNA

OBJECTIVE

To evaluate the performance of an ultrafast single-tube nucleic acid isothermal amplification detection assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA using clinical samples from multiple centres.

METHODS

A reverse transcription recombinase-aided amplification (RT-RAA) assay for SARS-CoV-2 was conducted within 15 minutes at 39°C with portable instruments after addition of extracted RNA. The clinical performance of RT-RAA assay was evaluated using 947 clinical samples from five institutions in four regions of China; approved commercial fluorescence quantitative real-time PCR (qRT-PCR) kits were used for parallel detection. The sensitivity and specificity of RT-RAA were compared and analysed.

RESULTS

The RT-RAA test results of 926 samples were consistent with those of qRT-PCR (330 were positive, 596 negative); 21 results were inconsistent. The sensitivity and specificity of RT-RAA was 97.63% (330/338, 95% confidence interval (CI) 95.21 to 98.90) and 97.87% (596/609, 95% CI 96.28 to 98.81) respectively. The positive and negative predictive values were 96.21% (330/343, 95% CI 93.45 to 97.88) and 98.68% (596/604, 95% CI 97.30 to 99.38) respectively. The total coincidence rate was 97.78% (926/947, 95% CI 96.80 to 98.70), and the kappa was 0.952 (p < 0.05).

CONCLUSIONS

With comparable sensitivity and specificity to the commercial qRT-PCR kits, RT-RAA assay for SARS-CoV-2 exhibited the distinctive advantages of simplicity and rapidity in terms of operation and turnaround time.

Link Prediction Only With Interaction Data and its Application on Drug Repositioning

To assist drug development, many computational methods have been proposed to identify potential drug-disease treatment associations before wet experiments. Based on the assumption that similar drugs may treat similar diseases, most methods calculate the similarities of drugs and diseases by using various chemical or biological features. However, since these features may be unknown or hard to collect, such methods will not work in the face of incomplete data. Besides, due to the lack of validated negative samples in the drug-disease associations data, most methods have no choice but to simply select some unlabeled samples as negative ones, which may introduce noises and decrease the reliability of prediction. Herein, we propose a new method (TS-SVD) which only uses those known drug-protein, disease-protein and drug-disease interactions to predict the potential drug-disease associations. In a constructed drug-protein-disease heterogeneous network, assuming that drugs/diseases relating to some common proteins or diseases/drugs may be similar, we get the common neighbors count matrix of drugs/diseases, then convert it to a topological similarity matrix. After that, we get low dimensional embedding representations of drug-disease pairs by using topological features and singular value decomposition. Finally, a Random Forest classifier is trained to do the prediction. To train a more reasonable model, we select out some reliable negative samples based on the k -step neighbors relationships between drugs and diseases. Compared with some state-of-the-art methods, we use less information but achieve better or comparable performance. Meanwhile, our strategy for selecting reliable negative samples can improve the performances of these methods. Case studies have further shown the practicality of our method in discovering novel drug-disease associations.

Peritonitis in Continuous Ambulatory Peritoneal Dialysis {CAPD): A Multi-Centre Randomized Clinical Trial Comparing the Y Connector Disinfectant System to Standard Systems

sixty-one new continuous ambulatory peritoneal dialysis (CAPD) patients were allocated to a Y connector disinfectant (Amuchina, Italy) and 63 to standard systems (Baxter Systems II & III) in a randomized clinical trial addressing peritonitis rates in 8 CAPD programs in 6 Canadian cities. In the Y connector-disinfectant group, 15 patients experienced 21 episodes of peritonitis in 452 patient-months or 1 per 21.53 patient-months. In the standard systems group, 30 patients experienced 47 episodes of peritonitis in 467 patient-months or 1 per 9.93 patient-months ( p = 0.009). The peritonitis risk reduction was 61% (95% confidence limits 27–79%). Exit-site infections occurred in 36% of each group.

Prior to the development of exit -site infection, the monthly risk for peritonitis was 3.12% for the Y connector disinfectant system and 7.37% for the standard system. After an exit -site infection, these probabilities increased to 6.15% and 15.47%, respectively. Skin organisms were responsible for peritonitis in 8/21 (38%) in the Y connector-disinfectant group and 30/47 (64%) in the standard group. There were 75 days hospitalized for peritonitis in the Y connector-disinfectant group compared to 257 days for the standard group. The Y connector disinfectant system decreases the peritonitis rate through its effect on skin organisms. Exit -site infections are a major source of organisms responsible for peritonitis.

Peritonitis in Continuous Ambulatory Peritoneal Dialysis (CAPD) Patients: A Randomized Clinical Trial of Cotrimoxazole Prophylaxis

A double-blind randomized controlled trial compared the effectiveness of prophylactic oral trimethoprim/sulfamethoxazole (cotrimoxazole) to a placebo in preventing peritonitis in continuous ambulatory peritoneal dialysis (CAPD) patients. A daily trimethoprim/sulfamethoxazole dose of 160/800 mg gives a steady state dialysate concentration of 1.07/4.35 mg/L in the final dwell of each dosing interval. Identification of a 40% reduction in peritonitis probability with 80% statistical power and a type 1 error probability of 0.05 required 52 subjects per group. With stratification by previous peritonitis, 56 were allocated to cotrimoxazole and 49 to placebo. For cotrimoxazole there were five deaths and seven catheter losses. For placebo there were three deaths and nine catheter losses. There were 20 withdrawals from cotrimoxazole and 9 from the placebo group. With respect to time to peritonitis, there was no statistically significant difference between cotrimoxazole and placebo groups (p = 0.19). At 6 months, 64.1% of cotrimoxazole and 62.5% of placebo were peritonitis free; at 12 months 41.9% of cotrimoxazole and 35% of placebo were peritonitis free. There was no effect (p > 0.05) of age, sex, catheter care technique, spike or luer, or dialysate additives. Previous peritonitis increased the risk of peritonitis by 2.06 (95% CI, 3.61–1.18) while frequent (six weekly) extension tubing changes increased the risk of by 1.79, (95% CI, 3.04–1.02) when compared to six monthly changes. Cotrimoxazole appears ineffective in prevention of CAPD peritonitis.

Enhanced expression of FCER1G predicts positive prognosis in multiple myeloma

Background: Multiple myeloma (MM) is the second most common hematologic malignancy worldwide and does not have sufficient prognostic indicators. FCER1G (Fc fragment Of IgE receptor Ig) is located on chromosome 1q23.3 and is involved in the innate immunity. Early studies have shown that FCER1G participates in many immune-related pathways encompassing multiple cell types. Meanwhile, it is associated with many malignancies. However, the relationship between MM and FCER1G has not been studied.

Methods: In this study, we integrated nine independent gene expression omnibus (GEO) datasets and analyzed the associations of FCER1G expression and myeloma progression, ISS stage, 1q21 amplification and survival in 2296 myeloma patients and 48 healthy donors.

Results: The expression of FCER1G showed a decreasing trend with the advance of myeloma. As ISS stage and 1q21 amplification level increased, the expression of FCER1G decreased (P = 0.0012 and 0.0036, respectively). MM patients with high FCER1G expression consistently had longer EFS and OS across three large sample datasets (EFS: P = 0.0057, 0.0049, OS: P = 0.0014, 0.00065, 0.0019 and 0.0029, respectively). Meanwhile, univariate and multivariate analysis indicated that high FCER1G expression was an independent favorable prognostic factor for EFS and OS in MM patients (EFS: P = 0.006, 0.027, OS: P =0.002,0.025, respectively).

Conclusions: The expression level of FCER1G negatively correlated with myeloma progression, and high FCER1G expression may be applied as a favorable biomarker in MM patients.

The transport of liquids in softwood: timber as a model porous medium

Timber is the only widely used construction material we can grow. The wood from which it comes has evolved to provide structural support for the tree and to act as a conduit for fluid flow. These flow paths are crucial for engineers to exploit the full potential of timber, by allowing impregnation with liquids that modify the properties or resilience of this natural material. Accurately predicting the transport of these liquids enables more efficient industrial timber treatment processes to be developed, thereby extending the scope to use this sustainable construction material; moreover, it is of fundamental scientific value - as a fluid flow within a natural porous medium. Both structural and transport properties of wood depend on its micro-structure but, while a substantial body of research relates the structural performance of wood to its detailed architecture, no such knowledge exists for the transport properties. We present a model, based on increasingly refined geometric parameters, that accurately predicts the time-dependent ingress of liquids within softwood timber, thereby addressing this long-standing scientific challenge. Moreover, we show that for the minimalistic parameterisation the model predicts ingress with a square-root-of-time behaviour. However, experimental data show a potentially significant departure from this [Formula: see text] behaviour - a departure which is successfully predicted by our more advanced parametrisation. Our parameterisation of the timber microstructure was informed by computed tomographic measurements; model predictions were validated by comparison with experimental data. We show that accurate predictions require statistical representation of the variability in the timber pore space. The collapse of our dimensionless experimental data demonstrates clear potential for our results to be up-scaled to industrial treatment processes.

[Survival time and influencing factors in multidrug-resistant tuberculosis patients in Wuhan, 2006-2014]

Objective: To investigate the survival time of multidrug-resistant tuberculosis (MDR-TB) patients and the influential factors in Wuhan. Methods: The relevant information were collected from TB management information system, cause of death reporting system and medical records by trained doctors. The univariate and multivariate Cox proportional hazards model were applied to analyze the factors affecting survival time of patients. Results: A total of 552 patients with MDR-TB were included in the analysis. After the diagnosis of MDR-TB, the cumulative survival rates from the first year to the third year were 0.94, 0.88, and 0.80, respectively. The mortality density of MDR-TB patients was 6.52/100 person-years, and the median survival time was (89.52±1.85) months. Kaplan-Meier analysis showed that the cumulative survival rate of the standardized treatment group was significantly higher than that of the non-standardized treatment group (Log rank=101.070, P<0.001). Compared with the patients aged <30 years, the HR of the patients aged 30-years and ≥60 years were 2.987 (95%CI: 1.268-7.036), 4.957 (95%CI: 1.942-12.653). Compared with the patients with the education level of high school and above, the HR of the patients with education level of junior high school/primary school and below were 1.908 (95%CI: 1.152-3.160), 1.681(95%CI: 1.033-2.735). Compared with the patients without diabetes, the HR of the patients with diabetes was 1.961(95%CI: 1.347-2.854). Compared with the patients without other serious diseases, the HR of the patients with other serious diseases was 2.597 (95%CI: 1.820-3.706). Compared with the patients who had been treated less than one time, the HR of the patients having previous treatment with more than 2 times was 1.611 (95%CI: 1.077-2.409). Compared with patients receiving standard MDR regimen treatment, the HR of the patients receiving no standard MDR regimen treatment was 3.155 (95%CI: 2.132-4.670). Conclusions: The cumulative survival rate of MDR-TB patients without standard treatment was significantly lower than that of patients with standard treatment. Older age, low educational level, diabetes mellitus, other serious diseases, more than two times treatment in the past, and receiving no multi-drug resistance regimen treatment were the risk factors affecting the survival of MDR-TB patients.

Fine-tuning the photosynthetic light harvesting apparatus for improved photosynthetic efficiency and biomass yield

Photosynthetic electron transport rates in higher plants and green algae are light-saturated at approximately one quarter of full sunlight intensity. This is due to the large optical cross section of plant light harvesting antenna complexes which capture photons at a rate nearly 10-fold faster than the rate-limiting step in electron transport. As a result, 75% of the light captured at full sunlight intensities is reradiated as heat or fluorescence. Previously, it has been demonstrated that reductions in the optical cross-section of the light-harvesting antenna can lead to substantial improvements in algal photosynthetic rates and biomass yield. By surveying a range of light harvesting antenna sizes achieved by reduction in chlorophyll b levels, we have determined that there is an optimal light-harvesting antenna size that results in the greatest whole plant photosynthetic performance. We also uncover a sharp transition point where further reductions or increases in antenna size reduce photosynthetic efficiency, tolerance to light stress, and impact thylakoid membrane architecture. Plants with optimized antenna sizes are shown to perform well not only in controlled greenhouse conditions, but also in the field achieving a 40% increase in biomass yield.

Decrease of FGF19 contributes to the increase of fasting glucose in human in an insulin-independent manner

PURPOSE

The ileum-derived fibroblast growth factor 19 (FGF19) plays key roles in hepatic glucose homeostasis in animals in an insulin-independent manner. Here, we analyzed the association of FGF19 with glucose effectiveness (GE, the insulin-independent glucose regulation), as well as hepatic glucose production (HGP) in Chinese subjects.

METHODS

GE was measured by frequently sampled intravenous glucose tolerance test (FSIVGTT) in normal glucose tolerance (NGT), isolated-impaired glucose tolerance (I-IGT), and isolated-impaired fasting glucose (I-IFG) subjects. The oral glucose tolerance test-derived surrogate of GE (oGE) was determined in NGT, I-IFG, combined glucose intolerance (CGI), and type 2 diabetes (T2DM) subjects. HGP was assessed by labeled ([3-³H]-glucose) hyperinsulinemic-euglycemic clamp in NGT subjects. Insulin secretion and sensitivity were calculated by the hyperglycemic and hyperinsulinemic-euglycemic clamps in a subgroup of NGT, I-IGT, and I-IFG subjects. Serum FGF19 levels were determined by ELISA.

RESULTS

FGF19 positively correlated with GE (r = 0.29, P = 0.004) as determined by FSIVGTT. The result was further confirmed by oGE (r = 0.261, P < 0.001). FGF19 was negatively associated with FPG (r = - 0.228, P = 0.025), but the association no longer existed after adjusting for GE (r = - 0.177, P = 0.086). FGF19 was negatively associated with basal HGP (r = - 0.697, P = 0.006). However, the correlation between FGF19 and insulin secretion and sensitivity were not found.

CONCLUSIONS

FGF19 levels are associated positively with GE and negatively with HGP. The increase of FPG in human is at least partially due to the decrease of FGF19 in an insulin-independent manner.

Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning

Impaired confrontation naming is a common symptom of temporal lobe epilepsy (TLE). The neurobiological mechanisms underlying this impairment are poorly understood but may indicate a structural disorganization of broadly distributed neuronal networks that support naming ability. Importantly, naming is frequently impaired in other neurological disorders and by contrasting the neuronal structures supporting naming in TLE with other diseases, it will become possible to elucidate the common systems supporting naming. We aimed to evaluate the neuronal networks that support naming in TLE by using a machine learning algorithm intended to predict naming performance in subjects with medication refractory TLE using only the structural brain connectome reconstructed from diffusion tensor imaging. A connectome-based prediction framework was developed using network properties from anatomically defined brain regions across the entire brain, which were used in a multi-task machine learning algorithm followed by support vector regression. Nodal eigenvector centrality, a measure of regional network integration, predicted approximately 60% of the variance in naming. The nodes with the highest regression weight were bilaterally distributed among perilimbic sub-networks involving mainly the medial and lateral temporal lobe regions. In the context of emerging evidence regarding the role of large structural networks that support language processing, our results suggest intact naming relies on the integration of sub-networks, as opposed to being dependent on isolated brain areas. In the case of TLE, these sub-networks may be disproportionately indicative naming processes that are dependent semantic integration from memory and lexical retrieval, as opposed to multi-modal perception or motor speech production.

Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition

Background

In the field of drug repositioning, it is assumed that similar drugs may treat similar diseases, therefore many existing computational methods need to compute the similarities of drugs and diseases. However, the calculation of similarity depends on the adopted measure and the available features, which may lead that the similarity scores vary dramatically from one to another, and it will not work when facing the incomplete data. Besides, supervised learning based methods usually need both positive and negative samples to train the prediction models, whereas in drug-disease pairs data there are only some verified interactions (positive samples) and a lot of unlabeled pairs. To train the models, many methods simply treat the unlabeled samples as negative ones, which may introduce artificial noises. Herein, we propose a method to predict drug-disease associations without the need of similarity information, and select more likely negative samples.

Results

In the proposed EMP-SVD (Ensemble Meta Paths and Singular Value Decomposition), we introduce five meta paths corresponding to different kinds of interaction data, and for each meta path we generate a commuting matrix. Every matrix is factorized into two low rank matrices by SVD which are used for the latent features of drugs and diseases respectively. The features are combined to represent drug-disease pairs. We build a base classifier via Random Forest for each meta path and five base classifiers are combined as the final ensemble classifier. In order to train out a more reliable prediction model, we select more likely negative ones from unlabeled samples under the assumption that non-associated drug and disease pair have no common interacted proteins. The experiments have shown that the proposed EMP-SVD method outperforms several state-of-the-art approaches. Case studies by literature investigation have found that the proposed EMP-SVD can mine out many drug-disease associations, which implies the practicality of EMP-SVD.

Conclusions

The proposed EMP-SVD can integrate the interaction data among drugs, proteins and diseases, and predict the drug-disease associations without the need of similarity information. At the same time, the strategy of selecting more reliable negative samples will benefit the prediction.