Silica-Based Superhydrophobic and Superoleophilic Cotton Fabric with Enhanced Self-Cleaning Properties for Oil-Water Separation and Methylene Blue Degradation.

Superhydrophobic textiles with multifunctional characteristics are highly desired and have attracted tremendous research attention. This research employs a simple dip-coating method to obtain a fluorine-free silica-based superhydrophobic and superoleophilic cotton fabric. Pristine cotton fabric is coated with SiO2 nanoparticles and octadecylamine. SiO2 nanoparticles are anchored on the cotton fabric to increase surface roughness, and octadecyl amine lowers the surface energy, turning the hydrophilic cotton fabric into superhydrophobic. The designed cotton fabric exhibits a water contact angle of 159° and a sliding angle of 7°. The prepared cotton fabric is characterized by attenuated total reflectance-fourier transform infrared spectroscopy, X-ray diffraction, atomic force microscopy, scanning electron microscopy, and energy-dispersive X-ray spectroscopy. In addition, the coated fabric reveals excellent features, including mechanical and chemical stability, superhydrophobicity, superoleophilicity, and the self-cleaning ability. SiO2 nanoparticles and octadecylamine-coated cotton fabric demonstrate exceptional oil-water separation and wastewater remediation performance by degrading the methylene blue solution up to 89% under visible light. The oil-water separation ability is tested against five different oils with more than 90% separation efficiency. This strategy has the advantages of low-cost precursors, a simple and scalable coating method, enhanced superhydrophobicity and superoleophilicity, self-cleaning ability, efficient oil-water separation, and exceptional wastewater remediation performance.

Whole genome sequencing and analysis of Armillaria gallica Jzi34 symbiotic with Gastrodia elata.

BACKGROUND: Armillaria species are plant pathogens, but a few Armillaria species can establish a symbiotic relationship with Gastrodia elata, a rootless and leafless orchid, that is used as a Chinese herbal medicine. Armillaria is a nutrient source for the growth of G. elata. However, there are few reports on the molecular mechanism of symbiosis between Armillaria species and G. elata. The genome sequencing and analysis of Armillaria symbiotic with G. elata would provide genomic information for further studying the molecular mechanism of symbiosis. RESULTS: The de novo genome assembly was performed with the PacBio Sequel platform and Illumina NovaSeq PE150 for the A. gallica Jzi34 strain, which was symbiotic with G. elata. Its genome assembly contained ~ 79.9 Mbp and consisted of 60 contigs with an N50 of 2,535,910 bp. There were only 4.1% repetitive sequences in the genome assembly. Functional annotation analysis revealed a total of 16,280 protein coding genes. Compared with the other five genomes of Armillaria, the carbohydrate enzyme gene family of the genome was significantly contracted, while it had the largest set of glycosyl transferase (GT) genes. It also had an expansion of auxiliary activity enzymes AA3-2 gene subfamily and cytochrome P450 genes. The synteny analysis result of P450 genes reveals that the evolutionary relationship of P450 proteins between A. gallica Jzi34 and other four Armillaria was complex. CONCLUSIONS: These characteristics may be beneficial for establishing a symbiotic relationship with G. elata. These results explore the characteristics of A. gallica Jzi34 from a genomic perspective and provide an important genomic resource for further detailed study of Armillaria. This will help to further study the symbiotic mechanism between A. gallica and G. elata.

Molecular pathways in the development of HPV-induced oropharyngeal cancer.

Oropharyngeal cancer, a subset of head and neck cancer, is increasingly recognized as a unique clinical entity primarily influenced by high-risk human papillomavirus (HPV) infections, particularly HPV-16. This review delves into the viral life cycle of HPV-16 and its interactions with host cells, with a specific focus on the crucial roles played by the viral oncoproteins E6 and E7. These oncoproteins drive cellular proliferation by targeting critical tumor suppressor proteins like p53 and Rb, resulting in uncontrolled cell growth and genomic instability. Furthermore, the significance of epigenetic modifications induced by HPV-16 and their implications is important for cancer progression. This comprehensive review provides valuable insights into the intricate molecular landscape of HPV-induced oropharyngeal cancer, shedding light on the development of targeted therapies and preventive strategies for this emerging global health concern. Video Abstract.

Stearic Acid and CeO2 Nanoparticles Co-functionalized Cotton Fabric with Enhanced UV-Block, Self-Cleaning, Water-Repellent, and Antibacterial Properties.

Superhydrophobic cotton fabrics with multifunctional features are highly desired in domestic and outdoor applications. However, the short coating longevity and hazardous reagents significantly reduce their commercial-scale applications. Herein, we introduce CeO2 nanoparticles and stearic acid (SA) to develop a fluorine-free, durable superhydrophobic cotton fabric that mimics the lotus effect. The pristine cotton fabric is treated with APTES-functionalized CeO2 nanoparticles by immersion followed by a dip and drying treatment with a 2% myristic acid solution. This sequential process creates a stable superhydrophobic cotton fabric (SA/CeO2-cotton fabric) with a water contact angle of 158° and a water sliding angle of 5°. The results are attributed to the combined effect of CeO2 nanoparticles and stearic acid that enhances surface roughness and reduces surface sorption energy. APTES facilitates the durable attachment of CeO2 nanoparticles and stearic acid to the cotton fabric. The modified cotton fabric is characterized by advanced analytical tools, demonstrating enhanced superhydrophobicity, self-cleaning, and antiwater absorption properties. Additionally, it exhibits remarkable UV-blocking (UPF 542) and antibacterial properties. The designed superhydrophobic cotton fabric unveils good mechanical, thermal, and chemical durability. The proposed strategy is simple, green, and economical and can be used commercially for functional fabric preparation.

Health impacts from TRAPs and carbon emissions in the projected electric vehicle growth and energy generation mix scenarios in Malaysia.

Road transport contributes over 70% of air pollution in urban areas and is the second largest contributor to the total carbon dioxide emissions in Malaysia at 21% in 2016. Transport-related air pollutants (TRAPs) such as NOx, SO2, CO and particulate matter (PM) pose significant threats to the urban population's health. Malaysia has targeted to deploy 885,000 EV cars on the road by 2030 in the Low Carbon Mobility Blueprint (LCMB). This study aims to quantify the health co-benefits of electric vehicle adoption from their impacts on air quality in Malaysia. Two EV uptake projections, i.e. LCMB and Revised EV Adoption (REVA) projections, and five electricity generation mix scenarios were modelled up to 2040. We used comparative health risk assessment to estimate the potential changes in mortality and burden of diseases (BoD) from the emissions in each scenario. Intake fractions and exposure-risk functions were used to calculate the burden from respiratory diseases (PM2.5, NOx, SO2, CO), cardiovascular diseases and lung cancer (PM2.5). Results showed that along with a net reduction of carbon emissions across all scenarios, there could be reduced respiratory mortality from NOx by 10,200 mortality (176,200 DALYs) and SO2 by 2600 mortality (45,400 DALYs) per year in 2040. However, there could also be additional 719 mortality (9900 DALYs) per year from PM2.5 and 329 mortality (5600 DALYs) from CO per year. The scale of reduction in mortality and BoD from NOx and SO2 are significantly larger than the scale of increase from PM2.5 and CO, indicating potential net positive health impacts from the EV adoption in the scenarios. The health cost savings from the reduced BoD of respiratory mortality could reach up to RM 7.5 billion per year in 2040. In conclusion, EV is a way forward in promoting a healthy and sustainable future transport in Malaysia.

Patterns of acute poisoning- Five year study from National Poison Control Centre, Karachi, Pakistan.

OBJECTIVE: To identify patterns in cases of acute toxicity reported at an urban poison control centre. METHODS: The cross-sectional, retrospective study was conducted at the National Poison Control Centre, Karachi, and comprised data from January 1, 2017, to December 31, 2021. Data was collected from the institutional database which is part of the Jinnah Postgraduate Medical Centre, Karachi. Data of all patients diagnosed with acute poisoning was included. Data was analysed using SPSS 22. Results: Of the 4,936 cases reported, 2,449(49.6%) were males and 2,487(50.3%) were females. Pesticide was the most common cause of toxicity 1254(25.4%). Regarding outcomes, 351(7.1%) patients expired, 3,585(72.6%) were discharged after appropriate treatment, 366(7.4%) were given outpatient and psychiatric referrals, and 634(12.8%) patients left against medical advice. CONCLUSIONS: The most common agent causing toxicity was pesticides, and overall mortality across the study period was 7.1%.

PPP2R5D promotes hepatitis C virus infection by binding to viral NS5B and enhancing viral RNA replication.

BACKGROUND: Hepatitis C virus (HCV) infection increased the risk of hepatocellular carcinoma. Identification of host factors required for HCV infection will help to unveil the HCV pathogenesis. Adaptive mutations that enable the replication of HCV infectious clones could provide hints that the mutation-carrying viral protein may specifically interact with some cellular factors essential for the HCV life cycle. Previously, we identified D559G mutation in HCV NS5B (RNA dependent RNA polymerase) important for replication of different genotype clones. Here, we searched for the factors that potentially interacted with NS5B and investigated its roles in HCV infection. METHODS: Wild-type-NS5B and D559G-NS5B of HCV genotype 2a clone, J6cc, were ectopically expressed in hepatoma Huh7.5 cells, and NS5B-binding proteins were pulled down and identified by mass spectrometry. The necessity and mode of action of the selected cellular protein for HCV infection were explored by experiments including gene knockout or knockdown, complementation, co-immunoprecipitation (Co-IP), colocalization, virus infection and replication, and enzymatic activity, etc. RESULTS: Mass spectrometry identified a number of cellular proteins, of which protein phosphatase 2 regulatory subunit B'delta (PPP2R5D, the PP2A regulatory B subunit) was one of D559G-NS5B-pulled down proteins and selected for further investigation. Co-IP confirmed that PPP2R5D specifically interacted with HCV NS5B but not HCV Core and NS3 proteins, and D559G slightly enhanced the interaction. NS5B also colocalized with PPP2R5D in the endoplasmic reticulum. Knockdown and knockout of PPP2R5D decreased and abrogated HCV infection in Huh7.5 cells, respectively, while transient and stable expression of PPP2R5D in PPP2R5D-knockout cells restored HCV infection to a level close to that in wild-type Huh7.5 cells. Replicon assay revealed that PPP2R5D promoted HCV replication, but the phosphatase activity and catalytic subunit of PP2A were not affected by NS5B. CONCLUSIONS: PPP2R5D interactes with HCV NS5B and is required for HCV infection in cultured hepatoma cells through facilitating HCV replication.

Adenosine A2A receptor as a potential target for improving cancer immunotherapy.

The adenosine nucleoside performs a wide range of actions on various human tissues by activating four cell surface receptors. Adenosine A2A receptors (A2ARs) are widely expressed in the striatum, olfactory bulb, platelets, leukocytes, spleen, and thymus. They promote vasodilatation, platelet antiaggregatory effect, protection from ischemic damage, and regulation of sensorimotor neurons in basal ganglia. Adenosine signaling plays a vital part in modulating in vivo pathophysiological responses. A2ARs are potent negative regulators of the antitumor and proinflammatory actions of activated T cells. This axis offers several therapeutic targets, the most important of which are A2ARs, HIF-1α, and CD39/CD73. Downregulation of this axis increases the effectiveness of modern immunotherapeutic approaches against cancer, such as αCTLA-4/αPD-1. These discoveries have led to a promising novel role of antagonists of A2AR in blocking angiogenesis in immunotherapy of cancer. A small molecule, AZD4635, strongly inhibits A2AR, lowering cancer volume and increasing anticancer immunity. Deletion of A2AR with CRISPR/Cas9 in both human and murine CAR T cells produces a substantial increase in the efficiency of these cells. This review asserts that inhibition of the adenosinergic pathway can boost antitumor immunity, and this axis should be a target for future immunotherapeutic strategies.

Estimation of serum iron, serum lipids and serum liver enzymes in celiac disease patients of Saudi Arabia.

Objectives: To evaluate the serum biochemical levels in celiac disease (CD) patients. Methods: It was a cross-sectional study carried out on 70 subjects, including 40 patients with CD and 30 healthy controls. This study was conducted at Jouf University from November, 2020 to October, 2021. The collected blood specimens were used to perform serum iron, serum lipids, liver enzymes, and human tissue transglutaminase IgA antibodies (anti-HTTG). The hematological parameters including hematocrit and MCV were determined to establish the diagnosis of iron deficiency. Results: Serum iron was significantly lower in patients as compared to the controls. Serum iron, serum HDL, blood hematocrit and MCV were significantly lower in patients than in controls (p = 0.000). Serum levels of liver enzymes (ALT and AST) and serum human tissue transglutaminase antibodies (anti-HTTG) were significantly higher in patients than in controls (p = 0.000). The correlation studies established the negative correlation of anti-HTTG IgA with serum iron (r = -0.991, p = 0.000), hematocrit (r = -0.967, p = 0.000) and MCV (r = -0.946, p = 0.000) in patients. Conclusion: The serum iron was remarkably reduced in CD patients. A negative correlation was found between anti-HTTG IgA and serum iron, while a positive serum iron was correlated with hematocrit and MCV in CD patients.

Enhanced circular dichroism of plasmonic chiral system due to indirect coupling of two unaligned nanorods with metal film.

Circular dichroism (CD) demonstrates broad application prospects in enantioselective catalysis, chiral separation, and ultrasensitive detection. Increasing the CD intensity of easily fabricated plasmonic nanostructures will promote the application of these artificial nanostructures. A chiral plasmonic system that consists of two unaligned nanorods and a metal film is proposed in this study to achieve a large CD effect. Indirect coupling of a nanorod-film-nanorod in the proposed chiral plasmonic system generates a larger CD intensity compared to the direct coupling of a nanorod-nanorod. In addition, the effects of structural parameters on the CD effect of the proposed system are numerically investigated. Results showed that the indirect coupling is strongly dependent on the separation between the nanorod and the metal film. The results of this study can provide an effective strategy to enhance the CD effect of plasmonic chiral systems.

AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery.

Plant diseases can cause a considerable reduction in the quality and number of agricultural products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in tropical regions. It is attacked by 177 pathogens, including 167 fungal and others such as bacterial, algal, and nematodes. In addition, postharvest diseases may cause crucial production loss. Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers' improper use of pesticides. Automatic detection of diseases in plants once they emerge on the plants' leaves and fruit is required to maintain high crop fields. In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. The proposed framework employs the ΔE color difference image segmentation to segregate the areas infected by the disease. Furthermore, color (RGB, HSV) histogram and textural (LBP) features are applied to extract rich, informative feature vectors. The combination of color and textural features are used to identify and attain similar outcomes compared to individual channels, while disease recognition is performed by employing advanced machine-learning classifiers (Fine KNN, Complex Tree, Boosted Tree, Bagged Tree, Cubic SVM). The proposed framework is evaluated on a high-resolution (18 MP) image dataset of guava leaves and fruit. The best recognition results were obtained by Bagged Tree classifier on a set of RGB, HSV, and LBP features (99% accuracy in recognizing four guava fruit diseases (Canker, Mummification, Dot, and Rust) against healthy fruit). The proposed framework may help the farmers to avoid possible production loss by taking early precautions.

Kinetics Growth and Recovery of Valuable Nutrients from Selangor Peat Swamp and Pristine Forest Soils Using Different Extraction Methods as Potential Microalgae Growth Enhancers.

Soil extracts are useful nutrients to enhance the growth of microalgae. Therefore, the present study attempts for the use of virgin soils from Peninsular Malaysia as growth enhancer. Soils collected from Raja Musa Forest Reserve (RMFR) and Ayer Hitam Forest Reserve (AHFR) were treated using different extraction methods. The total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), and dissolved organic carbon (DOC) concentrations in the autoclave methods were relatively higher than natural extraction with up to 132.0 mg N/L, 10.7 mg P/L, and 2629 mg C/L, respectively for RMFR. The results of TDN, TDP, and DOC suggested that the best extraction methods are autoclaved at 121 °C twice with increasing 87%, 84%, and 95%, respectively. Chlorella vulgaris TRG 4C dominated the growth at 121 °C twice extraction method in the RMRF and AHRF samples, with increasing 54.3% and 14%, respectively. The specific growth rate (µ) of both microalgae were relatively higher, 0.23 d-1 in the Ayer Hitam Soil. This extract served well as a microalgal growth promoter, reducing the cost and the needs for synthetic medium. Mass production of microalgae as aquatic feed will be attempted eventually. The high recovery rate of nutrients has a huge potential to serve as a growth promoter for microalgae.

Assessment of Aqueous Extraction Methods on Extractable Organic Matter and Hydrophobic/Hydrophilic Fractions of Virgin Forest Soils.

The assessment of water-extractable organic matter using an autoclave can provide useful information on physical, chemical, and biological changes within the soil. The present study used virgin forest soils from Chini Forest Reserve, Langkawi Island, and Kenyir Forest Reserve (Malaysia), extracted using different extraction methods. The dissolved organic carbon (DOC), total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), and ammonium-nitrate content were higher in the autoclave treatments, up to 3.0, 1.3, 1.2, and 1.4 times more than by natural extraction (extracted for 24 h at room temperature). Overall, the highest extractable DOC, TDN, TDP, ammonium and nitrate could be seen under autoclaved conditions 121 °C 2×, up to 146.74 mg C/L, 8.97 mg N/L, 0.23 mg P/L, 5.43 mg N mg/L and 3.47 N mg/L, respectively. The soil extracts became slightly acidic with a higher temperature and longer duration. Similar trends were observed in the humic and nonhumic substances, where different types of soil extract treatments influenced the concentrations of the fractions. Different soil extraction methods can provide further details, thus widening the application of soil extracts, especially in microbes.

Knowledge and societal perceptions regarding autopsy amongst different educational backgrounds in Karachi, Pakistan.

OBJECTIVE: To find out awareness levels about legislation/authorisation and objectives of autopsy among common people, and to assess correlation between opinions and academic levels. METHODS: The cross-sectional questionnaire-based study was conducted from March 2019 to September 2019 after approval from Ziauddin University, Karachi, and comprised adult subjects from the community having various academic backgrounds. Data was collected on their knowledge, perceptions and concerns regarding autopsy. Data was analysed using SPSS 20. RESULTS: Of the 260 individuals approached, 106(40.8%) were males and 143(55%) were females, while 11(4.2%) did not specify their gender. Overall, 123(47.3%) were aged 18-25 years. After 7(2.7%) dropouts, the total number of respondents was 253(97.3%). Of them There were 208(82%) subjects who marked "Yes" to knowing the meaning of autopsy, and 115(55.3%) of them had high academic level, while 93(44.7%) had low educational level. Also, 93(44.7%) participants correctly knew the purpose behind an autopsy. Regardless of the academic level, 135(21.7%) subjects marked "Organ removal" as their concerns regarding an autopsy, while 114(18.3%) marked "Disfigurement of body". CONCLUSIONS: Although majority of the subjects had a positive perception of autopsy, in-depth questioning revealed a clear lack of correct knowledge on the matter.

Patterns and Outcomes of dog bite injuries presenting to emergency department in a tertiary care hospital at Karachi.

OBJECTIVES: To assess patterns & outcomes of dog bite injuries coming to a public sector tertiary care hospital in Karachi, Pakistan. METHODS: This was a one-year descriptive cross sectional study from 1st June 2018- 31st May 2019 using consecutive sampling technique. Data of 7512 patients was collected from animal-bite clinic of a tertiary care hospital. Inclusion criteria was animal bite cases that were reported during the dates 1st June 2018 to 31st May 2019, Incomplete records were excluded. Data comprising of time of bite, the location of the victim at the time of bite within the city, animal responsible for the bite, gender and age of victim, date of presentation, site and category of bite (as per WHO criteria) was recorded by the primary investigator. The study was conducted at Jinnah Post-Graduate Medical Centre. RESULTS: Among 7512 participants 85.8% were males, 32.2% victims reported time of bite between morning and noon, 78.8% of bites involved lower limbs. 51.6% of the bites belonged to category 2. Stray dog bites were observed in 90.3% of cases. Outcome showed 54.9% completed their vaccination, while 44.3% did not show for complete follow up, 3.99% bites were grievous & 0.03% reported with developed rabies. CONCLUSION: Research reveals Males belonging to adult age group were most vulnerable, most bites were inflicted in early hours, most common animal inflicting the bites were stray dogs. Many victims did not complete their vaccination from the same centre. Peak of the summer was associated with a decline in number of incidents.

Determination of serum tumor necrosis factor-alpha (TNF-α) levels in metabolic syndrome patients from Saudi population.

OBJECTIVES: To detect the relationship between serum tumor necrosis factor-alpha (TNF-α) and metabolic syndrome (MetS) components in patients of the Saudi population. METHODS: This cross-sectional study was carried out at Jouf University Saudi Arabia from September 2019 to August 2020 and comprised of 183 individuals (91 cases and 92 controls). The blood samples were drawn from the patients visiting two tertiary care settings of Al Jouf province. Biochemical analysis was conducted on various instruments, and serum TNF-α was measured by the ELISA method. RESULTS: The levels of serum glucose fasting, lipid profile, HbA1c and body mass index (BMI) were raised significantly in cases of MetS than controls (p = 0.001). Serum TNF-α was significantly higher in patients (58.04 ± 15.44) than controls (48.81 ± 10.30). It was correlated with the BMI, blood HbA1c, serum fasting glucose (SFG) and serum high density lipoprotein (HDL). The weak positive correlation was found with BMI (r = 0.18; p = 0.01), serum glucose (r = 0.21; p = 0.007) and HbA1c (r = 0.14; p = 0.04), but found negative association with serum HDL (r = -0.18; p = 0.01). CONCLUSION: The serum TNF-α was raised in metabolic syndrome patients than the healthy controls. It was positively associated with high BMI, serum fasting glucose, and HbA1c and found linked and negatively linked to low HDL levels in MetS patients in the Saudi population.

REVIEW- Covid-19: Diagnosis, summary of essays and evolving approaches.

COVID-19 spread worldwide after its outbreak in December 2019. This review paper aims to educate the readers regarding SARS-CoV-2 diagnostic and detection tools and the issues experienced by researchers. We identify on-the-horizon point-of-care diagnostic tests and inspire scholars to develop their innovations past conception. It will also effectively avoid potential pandemics to establish plug-and-play diagnostic information to handle the SARS infection. The authors agree that arbitrary-access, interconnected systems with flexible functionality accessible at the point-of-care, would enable fast and precise diagnosis and tracking.

Genetic association of insulin receptor substrate-1 (IRS-1, rs1801278) gene with insulin resistant of type 2 diabetes mellitus in a Pakistani population.

Insulin resistance (IR), a pathological condition of type 2 diabetes mellitus (T2DM) is characterized by an inability of body's tissue to respond the secreted or administered insulin, a necessary step for cellular glucose transportation. The prevalence of insulin resistance progresses with age, especially in overweight people with central obesity. Insulin receptor substrates (IRS) are important molecular proteins in the insulin signalling pathway, where IRS-1 plays a key function in cells insulin sensitivity. The common mutation (rs1801278; r.2963G > A: Gly972Arg) of the IRS-1 gene occurs when residue glycine changes to arginine at codon 972. The objective of this study was to detect the genetic association of rs1801278 polymorphism of the IRS-1 gene with insulin resistance in type 2 diabetes from the Lahore region of Pakistan. A total of 322 subjects (161 cases and 161 healthy individuals) were included. DNA was isolated for detection of the genotype distribution and allele frequencies by PCR-RFLP. The results showed a significant difference in the genotype distribution and allele frequency between the T2DM cases and controls for single nucleotide polymorphism (SNP) rs1801278 (OR 17.61, 95% CI 8.06-38.4, p < 0.001). In conclusion, association between rs1801278 polymorphism of the IRS-1 gene and insulin resistance in T2DM has been established in a Pakistani population.

Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

Identification of novel L2HGDH mutation in a large consanguineous Pakistani family- a case report.

BACKGROUND: L-2-hydroxyglutaric aciduria (L2HGA) is a progressive neurometabolic disease of brain caused by mutations of in L-2-hydroxyglutarate dehydrogenase (L2HGDH) gene. Cardinal clinical features include cerebellar ataxia, epilepsy, neurodevelopmental delay, intellectual disability, and other clinical neurological deficits. CASE PRESENTATION: We describe an index case of the family presented with generalised tonic-clonic seizure, developmental delay, intellectual disability, and ataxia. Initially, the differential diagnosis was difficult to be established and a SNP genome wide scan identified the candidate region on chromosome 14q22.1. DNA sequencing showed a novel homozygous mutation in the candidate gene L2HGDH (NM_024884.2: c.178G > A; p.Gly60Arg). The mutation p.Gly60Arg lies in the highly conserved FAD/NAD(P)-binding domain of this mitochondrial enzyme, predicted to disturb enzymatic function. CONCLUSIONS: The combination of homozygosity mapping and DNA sequencing identified a novel mutation in Pakistani family with variable clinical features. This is second report of a mutation in L2HGDH gene from Pakistan and the largest family with L2HGA reported to date.