[Advances of minimally invasive glaucoma surgery in the combined treatment of primary angle-closure glaucoma]

Glaucoma is the leading irreversible blinding eye disease worldwide, and China has the largest amount of primary angle-closure glaucoma (PACG). To reduce blindness, the therapeutic evolution can play a role. With the technical development of minimally invasive glaucoma surgery (MIGS), the treatment of angle-closure glaucoma has been in a transformation. This article reviews the literatures related to the advances of MIGS in the combined treatment of PACG. The research findings show that MIGS may become one of the preferred surgical treatments for PACG in the future clinical management of glaucoma.

Utilisation of Deep Learning-Enabled Image Analysis for Detection and Enumeration of Plasmodial Forms in Red Cells

Introduction/Objective

Objective: This work investigates utilisation of deep learning enabled peripheral blood smear image analysis for automated detection and enumeration of red cell parasites.

Methods/Case Report

Methods: Peripheral blood smear red cell images from 30 individuals identified as positive and/or negative for plasmodilum falciparum forms were used. Blood submitted to hematology laboratory for complete blood count was evaluated on Sysmex XN 3100 analyzer with routine peripheral blood slides performed on instrument associated SP50 stainer. Images of red cells obtained with Xfinity DX40 microscope mounted camera were subjected to classification using deep learning software (Cognex, ViDi Suite 4.1). The training of the classification tool was performed on 200 peripheral blood smear images divided in two dataset classes: normal/negative and abnormal/positive for plasmodia, 50% of training images represented positive data set. Performance of the developed model was tested on 300 images including 66% positive for plasmodia obtained from 20 patients. Enumeration of parasitic forms was performed for each case. Model performance was compared to expert hematopathology reviewer which was used as gold standard.

Results (if a Case Study enter NA)

Results: Overall, Cognex ViDi Suite 4.1 demonstrates the effectiveness in discriminating between images positive and negative for red cell plasmodial forms as well as enables parasite quantification. Following performance specifications were determined for parasite detection: sensitivity (0.969230769), specificity (0.99383217). High correlation coefficients (0.9961) between automatically detected parasites and ground truth, on both image level and patient level, demonstrate the practicality of our method.

Conclusion

Deep learning enabled image analysis of peripheral blood smears is a promising alternative to manual identification and enumeration of red cell plasmodial forms with performance comparable to expert hematopathology reviewer.

Using Disorder to Overcome Disorder: A Mechanism for Frequency and Phase Synchronization of Diode Laser Arrays

Noise and disorder are known, in certain circumstances and for certain systems, to improve the level of coherence over that of the noise-free system. Examples include cases in which disorder enhances response to periodic signals, and those where it suppresses chaotic behavior. We report a new type of disorder-enhancing mechanism, observed in a model that describes the dynamics of external cavity-coupled semiconductor laser arrays, where disorder of one type mitigates (and overcomes) the desynchronization effects due to a different disorder source. Here, we demonstrate stabilization of dynamical states due to frequency locking and subsequently frequency locking-induced phase locking. We have reduced the equations to a potential model that illustrates the mechanism behind the misalignment-induced frequency and phase synchronization.

P–583 Differential lipidomic characteristics of children born to women with polycystic ovary syndrome

Study question

To describe lipidomic characteristics of offspring born to polycystic ovary syndrome (PCOS-off) women and assess the associations of clinical phenotypes changes with differential lipids.

Summary answer

PCOS-off showed specific changes in lipidomics and some differential lipids (e.g., phosphatidylcholines, lysophosphatidylcholine and sphingomyelin) may be the potential markers of aberrant cardiometabolic health.

What is known already

Polycystic ovary syndrome (PCOS), the most prevalent endocrine disorder characterized by ovulatory dysfunction, hyperandrogenism and polycystic ovarian morphology, affects about 8–13% of women of fertile age. Aberrant metabolic pathophysiological changes and increased pregnancy complications associated with PCOS predispose PCOS patients to have suboptimal intrauterine environments and that may produce a detrimental impact on the cardiometabolic health of their children.

Study design, size, duration

A total of 141 blood plasma samples from 70 children born to PCOS women (43 girls, 27 boys) and 71 healthy control children (44 girls, 27 boys) were obtained for lipidomics.

Participants/materials, setting, methods

Blood samples were centrifuged at 2000 rpm, 4 °C for 20 min, and the upper plasma was collected and used for lipid extraction. Then the waters ACQUITY UPLC I-Class system and The Xevo G2-S Q-TOF with an electrospray ionization (ESI) source (Waters, Manchester, UK) was used for chromatographic analysis and mass spectrometry analysis separately.

Main results and the role of chance

In total, 44 metabolites were found to be significantly altered in PCOS-off, including 8 up-regulated and 36 down-regulated metabolites. After stratified by sex, 44 metabolites were found to express differently in girls born to PCOS women (PCOS-g). 13 metabolites were up-regulated, and 31 metabolites were down-regulated, most of which belong to glycerolipids species. While 46 metabolites were found to express differently in boys born to PCOS women (PCOS-b) with 9 increased metabolites and 35 decreased ones, most of which were glycerophospholipids metabolites. Additionally, significant associations between metabolites changes and weight Z-score as well as high density lipoprotein level were found in PCOS-off. In PCOS-g, triglyceride, low density lipoprotein and high density lipoprotein level were found to be correlated with some metabolites, whereas in PCOS-b, thyroid stimulating hormone and high density lipoprotein were correlated with some lipids.

Limitations, reasons for caution

Other species of metabolites except lipids are not included in this study. Besides, some potential confounding maternal factors, such as smoking, drinking, breastfeeding etc. were not included due to the lack of data.

Wider implications of the findings: The results had broadened our understanding of PCOS-off’s cardiometabolic status and emphasized monitor and special management in this susceptible group of population.

Trial registration number

Not applicable

[Role of long noncoding RNA SNHG3 in regulating proliferation, migration and invasion of cervical cancer SiHa cells]

OBJECTIVE

To investigate the regulatory role of the long non-coding RNA (lncRNA) small nucleolar host gene 3 (SNHG3) in proliferation, migration and invasion of human cervical cancer cell line SiHa.

OBJECTIVE

Array data were retrieved from GEO database to analyze the expression levels of SNHG3 in cervical cancer and adjacent normal tissues. SiHa cells were transfected with a small interfering RNA (siRNA) targeting SNHG3, and the changes in the transcriptional levels of lncRNA SNHG3 and the epithelial-mesenchymal transition (EMT) markers N-cadherin, Snail, vimentin and E-cadherin were detected using real-time quantitative PCR; the protein expressions of N-cadherin, Snail, vimentin and E-cadherin were determined using Western blotting. Cell counting kit-8 (CCK8) assay was utilized to assess the proliferation capacity of the transfected cells. Wound healing assay and Transwell assay were performed to evaluate the transversal and longitudinal migration and invasion abilities of the cells.

OBJECTIVE

SNHG3 was over-expressed in cervical cancer tissues and SiHa cells. In SiHa cells, knocking down SNHG3 significantly inhibited the proliferation (P < 0.001), migration (P < 0.01) and invasion abilities (P < 0.001) of the cells, down-regulated the expression levels of N-cadherin, Snail and vimentin (P < 0.001) and up-regulated the expression of E-cadherin (P < 0.001).

OBJECTIVE

SNHG3 may promote the proliferation, migration and invasion of SiHa cells by activating the EMT signaling pathway.

Nicotinamide improves NAD+ levels to protect against acetaminophen-induced acute liver injury in mice

Acetaminophen (APAP) overdose causes acute liver injury (ALI). Nicotinamide adenine dinucleotide (NAD) is an essential coenzyme, and NAD⁺ is oxidized type which synthesized from nicotinamide (NAM). The present study aimed to investigate the role of NAD⁺ in ALI and protective property of NAM. The mice were subjected to different doses APAP. After 8 hours, the serum activities of alaninetransaminase (ALT) and aspartate aminotransferase (AST), the hepatic NAD⁺ level and nicotinamide phosphoribosyltransferase (NAMPT) expression were determined. Then, the mice were pretreated with NAM (800 mg/kg), the hepatoprotective effects and the key antioxidative molecules were evaluated. Our findings indicated that APAP resulted in remarkable NAD⁺ depletion in a dose-dependent manner accompanied by NAMPT downregulation, and NAM pretreatment significantly elevated the NAD⁺ decline due to upregulation of NAMPT. Moreover, the downregulated Kelch-like ECH-associated protein-1 (Keap1), upregulated nuclear factor erythroid 2-related factor 2 (Nrf2) and its translocation activation after NAM administration were confirmed, which were in accordance with improved superoxide dismutase (SOD) and glutathione (GSH) levels. Finally, NAM dramatically exhibited hepatoprotective effects by reducing the liver index and necrotic area. This study has suggested that APAP impairs liver NAD⁺ level and NAM is able to improve hepatic NAD⁺ to activate antioxidant pathway against APAP-induced ALI.

[Sleep-disordered breathing in patients with chronic heart failure before and after heart transplantation]

Objective: To explore the characteristics of sleep-disordered breathing (SDB) in chronic heart failure patients waiting for heart transplantation and the changes of SDB after transplantation. Methods: From September 2018 to December 2019, 34 patients with chronic heart failure were prospectively enrolled into this study, who were hospitalized for waiting for heart transplantation in the departments of cardiovascular medicine and cardiovascular surgery, Renmin Hospital of Wuhan University. All of them received portable sleep physiological monitoring. The characteristics of their SDB were analyzed before and after heart transplantation. Results: Of the 34 patients waiting for heart transplantation, 22 had central sleep apnea, 4 had obstructive sleep apnea and 8 had no SDB. The cycle length of Cheyne-Stokes respiration was negatively correlated with left ventricular ejection fraction. After heart transplantation, 15 patients received repeat sleep physiological monitoring and their results showed that the SDB was significantly improved, with the elimination of Cheyne-Stokes respiration. Conclusions: Patients waiting for heart transplantation had a high prevalence of SDB, with Cheyne-Stokes respiration with central sleep apnea as the main type. However, heart transplantation may eliminate the Cheyne-Stokes respiration in patients with chronic heart failure.

Impacts of extreme climate on Australia's green cover (2003-2018): A MODIS and mascon probe

Australia as a continent represents a semi-arid environment that is generally water-limited. Changes in rainfall pattern will inevitably occur due to rising temperatures caused by climate change, which has a direct impact on the distribution of Australia's vegetation (green cover). As variability in rainfall continues to increase, i.e., in frequency and/or magnitude, due to climate change, extreme climate events such as droughts are predicted to become more pervasive and severe that will have an adverse effect on vegetation. This study investigates the effects of extreme climate on Australia's green cover during 2003-2018 for the end of rainy seasons of April and October in the northern and southern parts, respectively, to (i) determine the state of vegetation and its changes, (ii) identify "hotspots", i.e., regions that constantly experienced statistically significant decrease in NDVI, and (iii), relate changes in the identified hotspots to GRACE-hydrological changes. These are achieved through the exploitation of the statistical tools of Principal Component Analysis (PCA) and Mann-Kendel Test on Gravity Recovery and Climate Experiment (GRACE) hydrological products on the one hand, and the utilization of Australia's rainfall product and Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index (MODIS-NDVI) used here with its native spatial resolution of 0.002413^∘ × 0.002413^∘ on the other hand. Differences between 3-year intervals from 2003 to 2018 for both April and October datasets are used to quantify vegetation variations. Through area change analysis, the vegetation differences (2003-2018) indicate that April exhibited larger increase (13.77% of total vegetation area) than decrease (7.83%) compared to October, which experienced slightly larger decrease (9.41%) than increase (8.71%). South Australia and Western Australia emerge as "hotspots" in which vegetation statistically decreased in October, with no noticeable change in April. GRACE-based hydrological changes in both hotspots reflect a decreasing trend (2003-2009) and increasing trend (2009-2012) that peaks in 2011, which then transitions towards a gradually decreasing trend after 2012. Australia-wide climate variability (ENSO and IOD) influenced vegetation variations during the data period 2003 to 2018.