Process Standardization of Functionally Enriched Millet-Based Nutri-Cereal Mix Using D-Optimal Design Approach for Enhancing Food and Nutritional Security.

Millets are currently employed in a variety of ways, including direct consumption and usage in the manufacture of certain cuisines or snacks. The present investigation was aimed at optimizing functionally enriched millet-based nutri-cereal mix comprising chicken and vegetable for a nutrition-deficient population. A total of 16 experiments were carried out by using optimal (custom) design model of mixture design with 60% major ingredients, including malted sorghum flour (20-30%), malted green gram flour (15-25%), and boiled chicken powder (5-15%). To make 100% of the total nutri-cereal mixture, other ingredients such as malted pearl millet (10%), finger millet flour (10%), beetroot powder (2.5%), pumpkin powder (7.5%), skimmed milk powder (9.5%), and stevia powder (0.5%) were added. Numerical optimization was done using Design Expert software, version 13. The optimized ratio was 30% malted sorghum flour, 15% malted green gram flour, and 15% chicken powder. The predicted values of responses 5.101%, 3.616%, 1.963%, 11.165%, 28.005%, 50.149%, 330.282 kcal, and 0.373 were in accordance with experimental values 6.426%, 3.455%, 1.714%, 11.432%, 29.12%, 47.853%, 323.318 kcal, and 0.385 for moisture, ash, fat, fiber, protein, carbohydrates, energy, and water activity, respectively, with a small error percentage. The results of mineral content, phenolic content, and amino acid profiling revealed that the optimized Nutri-cereal mix have higher amounts of these components. The results also suggested that the optimized Nutri-cereal mix of these malted millet flours can potentially enhance the nutritional deficiency as well as improve food and nutritional security.

Snuffbox Versus Wrist Radiocephalic Arteriovenous Fistulas: 10 Years Experience.

Background The wrist radiocephalic arteriovenous fistula (RCAVF) is the initial suggested procedure for establishing hemodialysis vascular access (HVA) in the most distal site of the upper limb. The anatomical snuffbox arteriovenous fistula (SBAVF) is barely utilised, despite its remote location. In this study, we aimed to analyse and compare the results of SBAVF and RCAVF in terms of their maturity, patency, and failure rates. Methodology This descriptive, retrospective study compared outcomes between SBAVF and RCAVF in terms of maturation, patency, and failure. All patients with chronic kidney disease who attended and underwent either procedure at Betsi Cadwaladr University Health Board between 2013 and 2023 were studied. Results In a period of 10 years, 179 patients were included. Overall, 102 (57%) were male and 77 (43%) were female, with a male-to-female ratio of 1.3:1. Wrist radiocephalic fistula was the dominant type of surgery done in 76% (n = 136), while the snuffbox radiocephalic fistula was done in fewer than 24% (n = 43) of patients. Most patients underwent a successful arteriovenous (AV) fistula (n = 105, 58.7%), in contrast to 67 patients whose fistulas failed. There was a significant relationship between fistula failure and complications (p = 0.000). There was no significant effect of the fistula site, hypertension, diabetes, cardiac diseases, smoking, peripheral vascular disease, or central vein stenosis on the failure of the AV fistula (p = 0.127, 0.534, 0.510, 0.397, 0.017, 0.68, and 0.371, respectively). Conclusions The snuffbox AV fistula is a suitable and feasible first choice for patients on hemodynamic therapy.

Heterogeneous photocatalytic degradation of antiviral drug didanosine mediated by rose bengal and TiO2 nanoparticles.

There is a great concern among the researcher to remove the problem of the persistent organic pollutants in wastewater. Pharmaceutical agrochemical and personal care products are generally considered Persistent organic pollutants. Therefore, it is a matter of concern to develop new techniques how to remove these pollutants safely at low cost. This study mainly focuses on the commonly used antiviral drug didanosine and one most commonly used dye rose bengal. In this study, an organic dye rose bengal and TiO2 nanoparticles have been used in combination with UV light to achieve the photodegradation of selected pharmaceutical products and the dye was also degraded by using TiO2 Nanoparticles. The formation of three oxidation products was detected by using a very popular separation technique thin layer and column chromatography. The isolated photoproduct was characterized by using advanced characterization techniques like FTIR (Fourier transform infrared spectroscopy), UV Spectroscopy, and Proton and 13C NMR (Nuclear Magnetic Resonance spectroscopy). The role of singlet oxygen as an active species in this reaction was confirmed by using D2O as a reaction medium. The role of singlet oxygen in this photochemical reaction was also established by the addition of sodium azide. The TiO2 nanophotocatalyst efficiently degrade the didanosine and rose bengal in the presence of the UV light. In the TiO2-induced photocatalytic degradation of didanosine and dyes, the hydroxyl and superoxide radical anion play a prominent role. The finding of this manuscript is very useful to develop an efficient low-cost method for the treatment of wastewater contaminated by antiviral drugs, similar pharmaceutical products and dyes. This study was also very helpful to establish a plausible mechanism behind the phototoxicity of the didanosine.

Algal organic matter induced photodegradation of tinidazole.

Antibiotic pollution has become one of the most emerging problems of the modern era. Tinidazole (TDZ) is one the most important nitroimidazole derivative drugs whose use has tremendously increased in the last few years. The proposed research work provides a good alternative cost-effective method for wastewater treatment. In the present investigation, algae were used as a photosensitizer in the treatment of the wastewater that was contaminated with antibiotic residue. The proposed research also provides the probable mechanism involved in the photodegradation of tinidazole. The different factors like concentration and pH of the test solution which play a key role in the photodegradation of drug molecules are also discussed in the present investigation. The result of this study established that the maximum degradation of drug molecules was observed at the algal concentration of 1.6 × 108 Cell/L and approximately 58% of drug molecules were degraded. This study also established that in an acidic medium ie at pH 5 the degradation occurs more efficiently. Results of the current study indicated that the use of algae-induced photodegradation of drug residue became one of the most promising routes for wastewater treatment. The results of the present study provide a new way to treat wastewater contaminated with antibiotics residue.

Automatic Diabetic Foot Ulcer Recognition Using Multi-Level Thermographic Image Data.

Lower extremity diabetic foot ulcers (DFUs) are a severe consequence of diabetes mellitus (DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of acquiring DFUs which leads to the risk of lower limb amputations up to 85% due to poor diagnosis and treatment. Diabetic foot develops planter ulcers where thermography is used to detect the changes in the planter temperature. In this study, publicly available thermographic image data including both control group and diabetic group patients are used. Thermograms at image level as well as patch level are utilized for DFU detection. For DFU recognition, several machine-learning-based classification approaches are employed with hand-crafted features. Moreover, a couple of convolutional neural network models including ResNet50 and DenseNet121 are evaluated for DFU recognition. Finally, a CNN-based custom-developed model is proposed for the recognition task. The results are produced using image-level data, patch-level data, and image-patch combination data. The proposed CNN-based model outperformed the utilized models as well as the state-of-the-art models in terms of the AUC and accuracy. Moreover, the recognition accuracy for both the machine-learning and deep-learning approaches was higher for the image-level thermogram data in comparison to the patch-level or combination of image-patch thermograms.

Oral Health-Related Quality of Life in Patients with Chronic Oral Mucosal Diseases: Reliability and Validity of Urdu Version of Chronic Oral Mucosal Disease Questionnaire (COMDQ).

The aim of the study was to translate and validate the Urdu version of the Chronic Oral Mucosal Disease Questionnaire (COMDQ) and measure the oral health-related quality of life (OHRQoL) in Pakistani patients with chronic oral mucosal disease. One hundred and twenty patients with chronic oral mucosal diseases were recruited for this study. Two types of reliability of the COMDQ were tested. First, the internal consistency was calculated using Cronbach's alpha, and second, test-retest reliability was calculated using intraclass correlation coefficients (ICC). Convergent validity was assessed for testing the validity of the COMDQ by examining the correlations with the Visual Analogue Scale (VAS) and OHIP-14 using Pearson's correlations coefficient, and a t-test was used to compare the COMDQ domains and the socio-demographic characteristics. The most prevalent chronic oral mucosal disease (COMD) among the participants was recurrent aphthous stomatitis (47.5%), and the least prevalent was oral granulomatosis (6.6%). The total mean score for COMDQ was 43.5 (SD = 18.4). It showed a high level of internal consistency (Cronbach's a = 0.81), and test-retest reliability was also good (r = 0.85). The total score of COMDQ was strongly correlated with the total score of OHIP-14 and VAS (r = 0.86 and r = 0.83), which indicated good convergent validity. The score of pain and the functional limitation domain reported a significant difference with age (p < 0.021) and employment status (p < 0.034). The Urdu version of COMDQ is an accurate, valid, and reliable instrument that can be used to assess the OHRQoL in patients with chronic oral mucosal diseases in Pakistani and other Urdu-speaking populations of different age groups.

Graded 2D/3D Perovskite Hetero-Structured Films with Suppressed Interfacial Recombination for Efficient and Stable Solar Cells via DABr Treatment.

Several strategies and approaches have been reported for improving the resilience and optoelectronic properties of perovskite films. However, fabricating a desirable and stable perovskite absorber layer is still a great challenge due to the optoelectronic and fabrication limitations of the materials. Here, we introduce diethylammonium bromide (DABr) as a post-treatment material for the pre-deposited methylammonium lead iodide (MAPbI3) film to fabricate a high-quality two-dimensional/three-dimensional (2D/3D) stacked hetero-structure perovskite film. The post-treatment method of DABr not only induces the small crystals of MAPbI3 perovskite secondary growth into a large crystal, but also forms a 2D capping layer on the surface of the 3D MAPbI3 film. Meanwhile, the grains and crystallization of 3D film with DABr post-treatment are significantly improved, and the surface defect density is remarkably reduced, which in turn effectively suppressed the charge recombination in the interface between the perovskite layer and the charge transport layer. The perovskite solar cell based on the DABr-treatment exhibited a significantly enhanced power conversion efficiency (PCE) of 19.10% with a notable improvement in the open circuit voltage (VOC) of 1.06 V and good stability, advocating the potential of this perovskite post-treatment approach.

Enhanced sentiment analysis regarding COVID-19 news from global channels.

For a healthy society to exist, it is crucial for the media to focus on disease-related issues so that more people are widely aware of them and reduce health risks. Recently, deep neural networks have become a popular tool for textual sentiment analysis, which can provide valuable insights and real-time monitoring and analysis regarding health issues. In this paper, as part of an effort to develop an effective model that can elicit public sentiment on COVID-19 news, we propose a novel approach Cov-Att-BiLSTM for sentiment analysis of COVID-19 news headlines using deep neural networks. We integrate attention mechanisms, embedding techniques, and semantic level data labeling into the prediction process to enhance the accuracy. To evaluate the proposed approach, we compared it to several deep and machine learning classifiers using various metrics of categorization efficiency and prediction quality, and the experimental results demonstrate its superiority with 0.931 testing accuracy. Furthermore, 73,138 pandemic-related tweets posted on six global channels were analyzed by the proposed approach, which accurately reflects global coverage of COVID-19 news and vaccination.

Environmental factors and its influence on human health in BRICS: implications for human development.

BRICS economies are facing severe environmental issues that exert a detrimental impact on human health. The analysis intends to examine the impact of CO2 emissions, environmental policy stringency, and environmental innovations on health outcomes for the BRICS economies. The long-run results of the ARDL-PMG infer that CO2 has a significant negative in the life expectancy model while it has a significant positive in the death rate model. These findings imply that the rise in CO2 emissions reduces life expectancy and increases the death rate in BRICS economies. On the other side, the estimates of environmental innovation and environmental policy stringency are positively significant in the life expectancy model; however, in the death rate model, the estimate of environmental innovation is insignificant, and environmental policy stringency is negatively significant in the death rate model. In a nutshell, the findings imply that CO2 emissions exacerbate health problems, environmental innovations, and environmental policy stringency, improving the health status of the people. Our findings suggest that the BRICS economies should revisit their environmental policies for the betterment of human health.

Indications and Outcome of Carotid Endarterectomy (CEA): A Single Centre Experience.

Background Stroke is a prevalent ailment that impacts a substantial number of individuals globally, resulting in both physical impairment and mortality. One of its major causes is carotid artery stenosis. The symptoms and degree of stenosis are key indications for carotid endarterectomy (CEA). In this study, we highlight the indications and outcomes of carotid endarterectomy in our center. Methods This is a descriptive, retrospective, observational study. Data of patients who underwent CEA at Glan Clwyd Hospital from January 2018 to January 2023 was retrieved. The study sample consisted of patients diagnosed with symptomatic carotid artery stenosis who had CEA at Glan Clwyd Hospital. The data was analyzed using statistical software SPSS (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp). Results A total of 150 patients were enrolled in the study. A majority of the patients were male, accounting for 69.3% (n = 104), and had a mean age of 71.1 ± 9.9 standard deviation. A majority of the patients were smokers (48.7%) and had additional medical conditions, including hypertension (34%), ischemic heart disease (17.3%), chronic obstructive pulmonary disease (73.3%), and diabetes (46.7%). Nevertheless, the remaining comorbidities were less common. The outcome of the CEA among the patients was cardiac event 3.3% (n = 5); transient ischemic attack (TIA) 3.3% (n = 5); stroke 0.6% (n = 1); hemorrhage 2.6% (n = 4); surgical site infection 2% (n = 3); perioperative mortality 1.3% (n = 2); and cranial nerve injury 1.3% (n = 2). However, no complications were reported in most of the patients, 85.6% (n = 128). Conclusion An endarterectomy is quite advantageous for treating symptomatic stenosis. The findings can be applied to patients who are physically suitable for surgery. The efficacy of endarterectomy is contingent upon not only the severity of carotid stenosis but also various other parameters, such as the time elapsed between the presenting event and the surgical intervention, as well as the patient's overall medical condition. However, the CEA is the gold standard in surgical management for symptomatic carotid disease.

Antiglycation potential of plant based TiO2 nanoparticle in D-ribose glycated BSA in vitro.

Biosynthetic procedure is one of the best alternatives, inexpensive and ecologically sound for the synthesis of titanium dioxide (TiO2 ) nanoparticles using a methanolic extract of medicinal plant. The main prospect of this study was to investigate the antiglycation activity of the TiO2 nanoparticles (TNP) prepared by ethanolic leaf extract of the Coleus scutellarioides. In this study, biosynthesized TNP characterized with UV-Visible spectroscopy, X-ray diffraction, Fourier transform infrared spectroscopy and scanning electron microscope. These TNP were further investigated with respect to their antiglycation property and it was checked in the mixture of d-ribose glycated bovine serum albumin (BSA) by measuring ketoamine, carbonyl content, Advanced glycation end products (AGEs) and aggregation of protein instigated by glycation process. The inhibitory effect of TNP to restore the structure of BSA in presence of d-ribose were also characterize by biophysical techniques mentioned above. Therefore, the findings of this study suggest repurposing of TNP for its antiglycation property that could be helpful in prevention of glycation instigated AGEs formation and structural loss of proteins.

Hearing improvement among children with cholesteatoma who underwent canal wall up and canal wall down surgical management.

Objectives: The most frequently used surgical methods for treating cholesteatoma include canal wall up and canal wall down procedures. The objective of the study was to compare the hearing improvement among children with cholesteatoma who underwent canal wall up and canal wall down surgical management. Methods: The cross-sectional analytical study design was used. The study was conducted at the ENT Department of Nishtar Medical University & Hospital Multan from 15th June to 15th Nov 2020.. Forty six patients with cholesteatoma were enrolled in the study after taking informed consent. Inclusion and exclusion criteria were followed. The participants were categorized into two groups. Group-A was treated with canal wall-up surgery while Group-B was treated with canal wall down Mastoidectomy. A 12-month post-operative follow-up and the audiometry assessment were compared with pre-surgical values. Additionally, a COMOT-15 survey was administered to analyze self-perceived hearing functions. The Chi-square test was used for comparative analysis of the surgical outcome and hearing improvement among the two groups. P-value (p value<0.05) was considered statistically significant. Results: Forty six patients were included in the study with 23 participants in each group. Among 46, 26 were male and 20 were female. The pre and post-operative mean Pure-tone average values were significantly different in (Group-A) who underwent canal wall up Mastoidectomy (p<0.05) than in Group-B, who underwent canal wall down Mastoidectomy. Similarly, hearing sub-section responses of the COMOT-15 survey favored the Canal wall technique. However, the survey showed no significant differences in the mental health status of the two groups (p<0.05). Conclusion: Our data collected after a one-year follow-up of patients suggests canal wall up as a preferred technique for hearing improvement than canal wall down technique.

Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans.

The highly rapid spread of the current pandemic has quickly overwhelmed hospitals all over the world and motivated extensive research to address a wide range of emerging problems. The unforeseen influx of COVID-19 patients to hospitals has made it inevitable to deploy a rapid and accurate triage system, monitor progression, and predict patients at higher risk of deterioration in order to make informed decisions regarding hospital resource management. Disease detection in radiographic scans, severity estimation, and progression and prognosis prediction have been extensively studied with the help of end-to-end methods based on deep learning. The majority of recent works have utilized a single scan to determine severity or predict progression of the disease. In this paper, we present a method based on deep sequence learning to predict improvement or deterioration in successive chest X-ray scans and build a mathematical model to determine individual patient disease progression profile using successive scans. A deep convolutional neural network pretrained on a diverse lung disease dataset was used as a feature extractor to generate the sequences. We devised three strategies for sequence modeling in order to obtain both fine-grained and coarse-grained features and construct sequences of different lengths. We also devised a strategy to quantify positive or negative change in successive scans, which was then combined with age-related risk factors to construct disease progression profile for COVID-19 patients. The age-related risk factors allowed us to model rapid deterioration and slower recovery in older patients. Experiments conducted on two large datasets showed that the proposed method could accurately predict disease progression. With the best feature extractor, the proposed method was able to achieve AUC of 0.98 with the features obtained from radiographs. Furthermore, the proposed patient profiling method accurately estimated the health profile of patients.

Socio demographic and lifestyle factors of metabolic syndrome among adult rural indigenous Malaysian population from Perak State, Malaysia.

Metabolic syndrome (MetS) is defined as a cluster of known disorders that increase the risk for morbidity and mortality from cardiovascular diseases (CVD) and type 2 diabetes mellitus. This cross sectional study was carried out to estimate the prevalence of MetS using Adult Treatment Panel 3 (ATP 3) classification and socio-demographic and lifestyle factors contributing to metabolic syndrome among rural indigenous Malaysian population from Perak state, Malaysia which included 148 rural Malay and 145 Orang Asli(OA) individuals. This community based cross-sectional study revealed that the prevalence of MetS was significantly higher among Malays (27.7%) as compared to Orang Aslis (13.8%). Overall Prevalence of Metabolic syndrome in the rural indigenous Malaysian population was 20.8%. Prevalence of abdominal obesity and high blood pressure were significantly higher among Malays as compared to OA population. Metabolic syndrome was significantly higher among those above 45 years of age group in overall rural indigenous Malaysian population and among OA. The prevalence of MetS was significantly higher among those who were obese and overweight and among Malays who were regularly taking snacks between meals. There was no significant association between other dietary risk factors, smoking, alcohol use or physical activity with metabolic syndrome.

Topics, Sentiments, and Emotions Triggered by COVID-19-Related Tweets from IRAN and Turkey Official News Agencies.

There is no doubt that the COVID-19 epidemic posed the most significant challenge to all governments globally since January 2020. People have to readapt after the epidemic to daily life with the absence of an effective vaccine for a long time. The epidemic has led to society division and uncertainty. With such issues, governments have to take efficient procedures to fight the epidemic. In this paper, we analyze and discuss two official news agencies' tweets of Iran and Turkey by using sentiment- and semantic analysis-based unsupervised learning approaches. The main topics, sentiments, and emotions that accompanied the agencies' tweets are identified and compared. The results are analyzed from the perspective of psychology, sociology, and communication.

Dimethoate Induces DNA Damage and Mitochondrial Dysfunction Triggering Apoptosis in Rat Bone-Marrow and Peripheral Blood Cells.

Dimethoate (DM) is an organophosphorus (OP) pesticide with wide use in the pest control. Its persistence in crops and soils could possibly cause adverse health consequences in humans as well as other non-target species. Since molecular studies confirming potential genotoxicity of DM have not been previously reported, the acute in vivo toxicological impact was evaluated in Wistar rats. Significant micronuclei induction and metaphase chromosome abnormalities in bone marrow cells exposed to three different DM doses (20, 40 and 60 mg/kg-bw) at multiple treatment durations (24, 48 and 72 h) indicated positive dose response relationship, confirming its genotoxic and cytotoxic potential. Significant mitotic index decrease was seen in dosed animals compared to vehicle control. The study used peripheral blood comet assay, indicating DM-mediated damage to DNA at all exposure levels in a time responsive manner. These assays were found to be an effective, precise, and fast technique with applied value in biomonitoring studies. Cell cycle and apoptosis along with mitochondrial membrane potential (MMP) in flow cytometric analyses confirmed DM exposure decreased MMP, affected the cell cycle, and inflicted DNA damage, which led to cellular apoptosis of leukocytes culminating into immunotoxic effects. The in silico experiments consequently augmented that DM showed acceptable binding energy value for Cyclin A2, suggesting that it could inhibit the cell cycle progression by inhibiting cyclin A2.

[Reversible cerebral vasoconstriction syndrome causing acute-onset headache].

Reversible cerebral vasoconstriction syndrome is caused by narrowing of cerebral arteries. The cardinal symptom is relapsing acute-onset headache also known as thunderclap headache, which may be accompanied by neurologic deficits. This is a case report of a 61-year-old woman with CT angiography-verified reversible cerebral vasoconstriction syndrome. We discuss the diagnostic work-up, i.e. lumbar puncture including test for xanthochromia and important brain imaging, differential diagnoses and treatment of the most important causes of thunderclap headache.

Selectivity of SO2 and H2S removal by ethanol-treated calcined eggshell at low temperature.

Eggshell is a food waste produced worldwide in substantial amount with very limited recycling activity. In this study, the potential of ethanol-treated calcined eggshell was tested as sorbent for SO2 and H2S. Three variables were selected in the preparation of sorbents via response surface methodology (RSM), i.e., concentration of ethanol in water (50%, 70%, 90%), reaction temperature (20 °C, 40 °C, 60 °C), and contact time (30, 60, 90 min). Central composite design (CCD) was used to develop a quadratic model to correlate the operating variables with the adsorption capacity. Analysis of variance (ANOVA) was performed to identify the significant factors of the experimental design. It was found that the reaction temperature during the sorbent preparation was the most significant factor. The optimum preparation conditions using RSM were found at 20 °C of reaction temperature with 76.37% of ethanol concentration for 67 min of reaction time. The maximum adsorption capacity for the optimized sorbent was found to be 27.75 mg/g and 9.55 mg/g for SO2 and H2S, respectively. The prepared sorbent was more selective towards SO2 compared with H2S. Moreover, the presence of 40% of relative humidity in the inlet gas further enhanced the adsorption capacity of both gases. The ethanol-treated calcined eggshell was further substantiated by FESEM, BET, FTIR, XRD, and XRF. Results showed potential usage of eggshell as a sorbent for SO2 and H2S gases.

Protocol of early lumen apposing metal stent removal for pseudocysts and walled off necrosis avoids bleeding complications.

Background: EUS-guided drainage of pancreatic fluid collections (PFCs; pancreatic pseudocyst (PPC) or walled-off necrosis (WON)) using lumen apposing metal stents (LAMSs) is now standard of care. We adopted a protocol of early LAMS removal and prospectively followed patients to determine if this protocol avoids bleeding complications.Methods: Prospective, consecutive case series of all patients with PPC and WON who underwent drainage with LAMS at a tertiary care referral center from July 2016 to November 2018. LAMS was removed within 4 weeks for PPC and within 6 weeks for WON. Patients with residual necrosis after 6 weeks underwent removal of initial LAMS and replacement with new LAMS every 6 weeks until resolution. Patients were followed within protocol while monitoring for bleeding complications and clinical success. We also performed a literature review to determine rates of LAMS related bleeding at various timepoints.Results: Forty patients (PPC n = 19, WON n = 21) underwent drainage with LAMS. Median time for LAMS removal was 21.0 days for PPC and 33.5 days for WON. Technical success and clinical success were achieved in 40/40 patients with zero cases of delayed bleeding. A literature review of 21 studies and 1378 patients showed 52/1378 (3.8%) bleeding events with 24/52 (46.2%) events occurring within 1 week of LAMS placement.Conclusions: An early removal LAMS protocol for PFC is highly efficacious and prevents delayed bleeding. Based on analysis of published cases, half of LAMS related bleeding occurs within the first week suggesting procedural factors rather than stent dwell time impact risk of bleeding.

Lipids as biomarkers of brain disorders.

Brain is a central and pivotal organ of human body containing the highest lipids content next to adipose tissue. It works as a monitor for the whole body and needs an adequate supply of energy to maintain its physiological activities. This high demand of energy in the brain is chiefly maintained by the lipids along with its reservoirs. Thus, the lipid metabolism is also an important for the proper development and function of the brain. Being a prominent part of the brain, lipids play a vast number of physiological activities within the brain starting from the structural development, impulse conduction, insulation, neurogenesis, synaptogenesis, myelin sheath formation and finally to act as the signaling molecules. Interestingly, lipids bilayer also maintains the structural integrity for the physiological functions of protein. Thus, in light to all of these activities, lipids and its metabolism can be attributed pivotal for brain health and its activities. Decisively, the impaired/altered metabolism of lipids and its intermediates puts forward a key step in the progression of different brain ailments including neurodegenerative, neurological and neuropsychiatry disorders. Depending on their associated underlying pathways, they serve as the potential biomarkers of these disorders and are considered as necessary diagnostic tools. The present review discusses the role and level of altered lipids metabolism in brain diseases including neurodegenerative diseases, neurological diseases, and neuropsychiatric diseases. Moreover, the possible mechanisms of altered level of lipids and their metabolites have also been discussed in detail.