Sub-chronic exposure of Oreochromis niloticus to environmentally relevant concentrations of smaller microplastics: Accumulation and toxico-physiological responses.

This study assesses the accumulation and toxic effects of environmentally relevant concentrations (0.01, 0.1 and 1 mg/L) of polystyrene MPs (1 µm) in Oreochromis niloticus (Nile tilapia) for 14 days. The results showed that 1 µm PS-MPs accumulated in the intestine, gills, liver, spleen, muscle, gonad and brain. RBC, Hb and HCT showed a significant decline, while WBC and PLT showed a significant increase after the exposure. Glucose, total protein, A/G ratio, SGOT, SGPT and ALP showed significant increments in 0.1 and 1 mg/L of PS-MPs treated groups. The increase in cortisol level and upregulation of HSP70 gene expression in response to MPs exposure indicate MPs-mediated stress in tilapia. MPs-induced oxidative stress is evident from reduced SOD activity, increased MDA levels and upregulated P53 gene expression. The immune response was enhanced by inducing respiratory burst activity, MPO activity and serum TNF-α and IgM levels. MPs exposure also led to down-regulation of CYP1A gene and decreased AChE activity, GNRH and vitellogenin levels, indicating the toxicity of MPs on the cellular detoxification mechanism, nervous and reproductive systems. The present study highlights the tissue accumulation of PS-MP and its effects on hematological, biochemical, immunological and physiological responses in tilapia with low environmentally relevant concentrations.

Aetiologies of Acute Complications in Autoimmune Rheumatologic Diseases: A Hospital-Based Cross-Sectional Study.

BACKGROUND: Autoimmune rheumatic diseases (ARD) present unique challenges in clinical practice. Many of them present in medical emergencies in an unstable state and need immediate evaluation for further plans of action. The clinical conundrum is to distinguish between sepsis, disease flare, or Addisonian crisis (AC) (secondary to steroid withdrawal). This may be further complicated by overlapping clinical features like shock/fever and the coexistence of a combination of the above pathophysiologic mechanisms (e.g. AC with sepsis or AC with disease flare). The known biomarkers may not perform optimally to distinguish them and additional supportive investigations like imaging, cultures, autoimmune serological markers, etc. are needed. Ultimately the boundaries between "the art of medicine" and "the science of medicine" may get blurred, as the established literature evidence falls short and the expert opinion is needed in a time-sensitive manner. In this pragmatic study, researchers have attempted to explore the presentation of rheumatologic emergencies on the above three differentials (sepsis, disease flare, and AC). MATERIALS AND METHODS:  In this hospital-based cross-sectional study, adult patients (age >18 years) with ARD who had unplanned hospital admission due to acute worsening were enrolled. This study was conducted over one year, after getting the Institutional Human Ethics Committee's approval. All relevant hematological, immunological, and hormonal parameters (specifically morning cortisol) were collected and analyzed. The aim was to find the individual and combined prevalence of sepsis, disease flare, or AC in this study group. RESULTS: Forty-one patients were analyzed, with females in the majority (95%) and the dominant age group being 26-49 years (56.1%). A majority had a diagnosis of rheumatoid arthritis (RA) (56.1%) or systemic lupus erythematosus (SLE) (31.7%); the rest were other connective tissue diseases (12.2%). High-risk Quick Sequential Organ Failure Assessment score (qSOFA) score 2-3 was present in 29.3% while the rest had low-risk scores (qSOFA score 0-1). Thirty-two percent had severe disease activity, 46% had mild to moderate disease activity, and 22% of patients had no disease activity. While 78% of patients had low procalcitonin (PCT) values <0.5 microgm/L (low risk of sepsis), 15% had <20 microgm/L, and 7% percentage of patients had serum levels >20 microgm/L (high risk of sepsis). A total of 73.2% of patients had no evidence of infection while 26.8% had either microbiological/radiological evidence of infection. Only 7% of all patients had the presence of an AC. qSOFA scores didn't statistically correlate with a diagnosis of infection or AC but positively correlated with PCT and C-reactive protein (CRP) values. Serum PCT didn't correlate with the presence of infection with statistically significance (p-value 0.217). CONCLUSION: Infections and sepsis are the most important considerations in the emergency presentations of ARDs. Disease flare and AC are also important differentials. Current inflammatory biomarkers like serum CRP and PCT may be less valuable for discriminating between infectious and non-infectious sepsis, especially in chronic inflammatory diseases like ARDs. qSOFA scores may have a prognostic role with less discriminant value. Management of ARD emergencies needs better biomarkers and more research is warranted.

Recent developments in wireless capsule endoscopy imaging: Compression and summarization techniques.

Wireless capsule endoscopy (WCE) can be viewed as an innovative technology introduced in the medical domain to directly visualize the digestive system using a battery-powered electronic capsule. It is considered a desirable substitute for conventional digestive tract diagnostic methods for a comfortable and painless inspection. Despite many benefits, WCE results in poor video quality due to low frame resolution and diagnostic accuracy. Many research groups have presented diversified, low-complexity compression techniques to economize battery power consumed in the radio-frequency transmission of the captured video, which allows for capturing the images at high resolution. Many vision-based computational methods have been developed to improve the diagnostic yield. These methods include approaches for automatically detecting abnormalities and reducing the amount of time needed for video analysis. Though various research works have been put forth in the WCE imaging field, there is still a wide gap between the existing techniques and the current needs. Hence, this article systematically reviews recent WCE video compression and summarization techniques. The review's objectives are as follows: First, to provide the details of the requirement, challenges and design percepts for the low complexity WCE video compressor. Second, to discuss the most recent compression methods, emphasizing simple distributed video coding methods. Next, to review the most recent summarization techniques and the significance of using deep neural networks. Further, this review aims to provide a quantitative analysis of the state-of-the-art methods along with their advantages and drawbacks. At last, to discuss existing problems and possible future directions for building a robust WCE imaging framework.

Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach.

Separation of the vascular tree into arteries and veins is a fundamental prerequisite in the automatic diagnosis of retinal biomarkers associated with systemic and neurodegenerative diseases. In this paper, we present a novel graph search metaheuristic approach for automatic separation of arteries/veins (A/V) from color fundus images. Our method exploits local information to disentangle the complex vascular tree into multiple subtrees, and global information to label these vessel subtrees into arteries and veins. Given a binary vessel map, a graph representation of the vascular network is constructed representing the topological and spatial connectivity of the vascular structures. Based on the anatomical uniqueness at vessel crossing and branching points, the vascular tree is split into multiple subtrees containing arteries and veins. Finally, the identified vessel subtrees are labeled with A/V based on a set of handcrafted features trained with random forest classifier. The proposed method has been tested on four different publicly available retinal datasets with an average accuracy of 94.7%, 93.2%, 96.8% and 90.2% across AV-DRIVE, CT-DRIVE. INSPIRE-AVR and WIDE datasets, respectively. These results demonstrate the superiority of our proposed approach in outperforming state-ofthe- art methods for A/V separation.