A perspective on varied fungal virulence factors causing infection in host plants.

Pathogenic fungi and their spores are ubiquitously present and invade the tissues of higher living plants causing pathogenesis and inevitably death or retarded growth. A group of fungi kills its hosts and consume the dead tissues (necrotrophs), while others feed on living tissue (biotrophs) or combination of two (hemibiotrophs). A number of virulent factors is used by fungal pathogens to inhabit new hosts and cause illness. Fungal pathogens develop specialized structures for complete invasion into plant organs to regulate pathogenic growth. Virulence factors like effectors, mycotoxins, cell wall degrading enzymes and organic acids have varied roles depending on the infection strategy and assist the pathogens to possess control on living tissues of the plants. Infection strategies employed by fungi generally masks the plant defense mechanism, however necrotrophs are best known to harm plant tissues with their poisonous secretion. Interestingly, the effector chemicals released by Biotrophs reduce plant cell growth and regulate plant metabolism in their advantage causing no direct death. All these virulence tools cause huge loss to the agricultural product of pre- harvest crops and post-harvest yields causing low output leading to huge economic losses. This review focusses on comprehensive study of range of virulence factors of the pathogenic fungi responsible for their invasion inside the healthy tissues of plants. The compiled information would influence researchers to design antidote against all virulence factors of fungi relevant to their area of research which could pave way for protection against plant pathogenesis.

Concomitant transthyretin cardiac amyloidosis in patients undergoing TAVR for aortic stenosis: A systemic review and meta-analysis.

OBJECTIVE: Transcatheter aortic valve replacement (TAVR) is a successful treatment for aortic stenosis (AS) patients, and previous studies indicate favorable outcomes for those with concomitant aortic stenosis and transthyretin-associated cardiac amyloidosis (TTRCA-AS). However, the impact of TAVR on more adverse outcomes in TTRCA-AS patients compared to those with AS alone is still uncertain, with conflicting findings reported in the literature. METHODS: PubMed and Scopus were extensively searched from inception till August 2021. Studies were included if they reported data for prevalence and outcomes including mortality and cardiovascular-related hospitalization events in TTRCA-AS patients referred for TAVR. The data for these outcomes were pooled using a random effects model and forest plots were created. RESULTS: After initially screening 146 articles, 6 were shortlisted for inclusion in our analysis. Pooled analysis demonstrated a 13.3% [95% CI: 10.9-16.5; p = 0.307] prevalence of TTRCA in patients with AS undergoing TAVR. The incidence of mortality and cardiovascular (CV) hospitalization in patients with TTRCA-AS undergoing TAVR were 28.3% [95% CI: 18.7-39.0, p = 0.478] and 21.1% [95% CI: 10.2-34.5, p = 0.211], respectively. CONCLUSION: The overall pooled TTRCA-AS prevalence was reported to be 13.3% in AS patients who underwent TAVR. Furthermore, transthyretin-associated CA was found to be associated with an increased risk of mortality and hospitalization. Large patient population studies are required to assess the safety and efficacy of TAVR in TTRCA-AS patients, as current research report data from small patient cohorts.

Serendipitous N,S-difunctionalization of triazoles with trifluoromethyl-ß-diketones: access to regioisomeric 1-trifluoroacetyl-3-aryl-5-(2-oxo-2-arylethylthio)-1,2,4-triazoles as DNA-groove binders.

In the present research work, a serendipitous regioselective synthesis of DNA targeting agents, 1-trifluoroacetyl-3-aryl-5-(2-oxo-2-arylethylthio)-1,2,4-triazoles, has been achieved through the one-pot cascade reaction of 3-mercapto[1,2,4]triazoles with trifluoromethyl-ß-diktetones in presence of NBS instead of the cyclized thiazolo[3,2-b][1,2,4]triazole. The present protocol offered a unique approach for functionalizing both N-acylation and S-alkylation in a concerted fashion. The structures of the regioisomeric products were thoroughly characterized by heteronuclear 2D NMR experiments. Facile scalability and excellent atom economy through easily available starting reactants are the notable features of the present sustainable protocol. Targeting tumor cell DNA with minor groove-binding small molecules has proven highly effective in the recent past, drawing significant attention for combating tumor-related afflictions. In this context, the synthesized analogs were primarily screened for their ability to bind with the DNA duplex d(CGCGAATTCGCG)2 using molecular modeling tools. Additionally, the most promising compound 14m was deployed as a probe for DNA sensing and interaction mechanisms with calf thymus (ct)DNA through various spectral techniques at a physiologic temperature of 37 °C. It has been found that the compound demonstrated a strong binding affinity (Kb = 1 × 105 M-1) with double-helical DNA, particularly within the minor groove, resulting in the formation of a stable complex through static quenching (Kq = 5.86 ± 0.11 × 1012 M-1 s-1). The fluorescent displacement assay confirmed that the quencher binds to the minor groove of ctDNA, further supported by circular dichroism and viscosity studies.

A systematic review on automatic identification of insomnia.

Insomnia is a prevalent sleep disorder characterized by difficulties in initiating sleep or experiencing non-restorative sleep. It is a multifaceted condition that impacts both the quantity and quality of an individual's sleep. Recent advancements in machine learning (ML), and deep learning (DL) have enabled automated sleep analysis using physiological signals. This has led to the development of technologies for more accurate detection of various sleep disorders, including insomnia. This paper explores the algorithms and techniques for automatic insomnia detection. Methods: We followed the recommendations given in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) during our process of content discovery. Our review encompasses research papers published between 2015 and 2023, with a specific emphasis on automating the identification of insomnia. From a se- lection of well-regarded journals, we included more than 30 publications dedicated to insomnia detection. In our analysis, we assessed the performance of various meth- ods for detecting insomnia, considering different datasets and physiological signals. A common thread across all the papers we reviewed was the utilization of artificial intel- ligence (AI) models, trained and tested using annotated physiological signals. Upon closer examination, we identified the utilization of 15 distinct algorithms for this de- tection task. Results: Result: The major goal of this research is to conduct a thorough study to categorize, compare, and assess the key traits of automated systems for identifying insomnia. Our analysis offers complete and in-depth information. The essential com- ponents under investigation in the automated technique include the data input source, objective, machine learning (ML) and deep learning (DL) network, training framework, and references to databases. We classified pertinent research studies based on ML and DL model perspectives, considering factors like learning structure and input data types. Conclusion: Based on our review of the studies featured in this paper, we have identi- fied a notable research gap in the current methods for identifying insomnia and oppor- tunities for future advancements in the automation of insomnia detection. While the current techniques have shown promising results, there is still room for improvement in terms of accuracy and reliability. Future developments in technology and machine learning algorithms could help address these limitations and enable more effective and efficient identification of insomnia. .

In Silico Structural and Functional Insight into the Binding Interactions of the Modeled Structure of Watermelon Urease with Urea.

Urease (EC 3.5.1.5) is an amidohydrolase. This nickel-dependent metalloenzyme converts urea into NH3 and CO2. Despite their vital role in plants, the structure and function of watermelon (Citrullus lanatus) urease are unknown. We used third- and fourth-generation gene prediction algorithms to annotate the C. lanatus urease sequence in this investigation. The solved urease structure from Canavalia ensiformis (PDB ID: 4GY7) was utilized as a template model to identify the target 3-D model structure of the unknown C. lanatus urease for the first time. Cluretox, the C. lanatus urease intrinsic disordered area identical to Jaburetox, was also found. The C. lanatus urease structure was docked with urea to study atom interaction, amino acid interactions, and binding analyses in the urease-urea complex at 3.5 Å. This study found that amino acids His517, Gly548, Asp631, Ala634, Thr569, His543, Met635, His407, His490, and Ala438 of C. lanatus urease bind urea. To study the molecular basis and mode of action of C. lanatus urease, molecular dynamics simulation was performed and RMSD, RMSF, Rg, SAS, and H-bond analyses were done. The calculated binding free energy (ΔG) for the urea-urease complex at 100 ns using the MM/PBSA method is -7.61 kJ/mol. Understanding its catalytic principles helps scientists construct more efficient enzymes, tailor fertilization to boost agricultural output, and create sustainable waste management solutions.

Trifluoromethyl-ß-dicarbonyls as Versatile Synthons in Synthesis of Heterocycles.

Trifluoromethyl group relishes a privileged position in the realm of medicinal chemistry because its incorporation into organic molecules often enhances the bioactivity by altering pharmacological profile of molecule. Trifluoromethyl-ß-dicarbonyls have emerged as pivotal building blocks in synthetic organic chemistry due to their facile accessibility, stability and remarkable versatility. Owing to presence of nucleophilic and electrophilic sites, they offer multifunctional sites for the reaction. This review covers a meticulous exploration of their multifaceted role, encompassing an in-depth analysis of mechanism, extensive scope, limitations and wide-ranging applications in diverse organic synthesis, covering the literature from the 21st century. This comprehensive review encapsulates the applications of trifluoromethyl-ß-dicarbonyls and their synthetic equivalents as precursors of complex and diverse heterocyclic scaffolds, fused heterocycles and spirocyclic compounds having medicinal and material importance. Their potent synthetic utility in cyclocondensation reactions with binucleophiles, cycloaddition reactions, C-C bond formations, asymmetric multicomponent reactions using classical/solvent-free/catalytic synthesis have been presented. Influence of unsymmetrical trifluoromethyl-ß-diketones on regioselectivity of transformation is also reviewed. This review will benefit the synthetic and pharmaceutical communities to explore trifluoromethyl-ß-dicarbonyls as trifluoromethyl building blocks for fabrication of heterocyclic scaffolds having implementation into drug discovery programs in the imminent future.

Pharmaceutical Suspensions: An Updated Patent Review on Novel Suspending Agents and Recent Advancement.

A wide variety of dosage forms are used for the oral administration of drugs to humans and animals. Apart from solid dosage forms, it also includes liquid dosage forms, such as solutions, suspensions, and emulsions. The selection is based on the physiochemical attributes of the therapeutically active ingredient. Suspensions are classified as dispersed systems that are heterogeneous in nature and consist of two phases. One phase is the continuous phase, the dispersion medium, or the external phase, which is either liquid or semisolid; the other is a solid particle dispersed in the external phase and called an internal or dispersed phase. They have several advantages over other dosage forms, such as effectively delivering hydrophobic drugs, avoiding the need for cosolvents, masking unpleasant tastes, and providing resistance to degradation and easy swallowing for young or elderly patients. They also attain higher drug concentrations compared to solution forms. This review article aims to study and explore the advantages, novel suspending agents, patent preference, and innovations of pharmaceutical suspension. It was targeted to scrutinize the literature floating in the internet domain regarding pharmaceutical suspension for delivery of drugs by oral route. The literature survey is targeted at the novel herbal suspending agents used, their patents involved, and innovations in the dosage form. Further, the study gives an insight into various aspects of suspension, such as classification of suspension, theories of suspension, various components used in suspension formulation, formulation aspect of suspension, evaluation parameters of suspension, patents, innovations, and regulatory status.

Bulldog Scalp Syndrome.

Bulldog scalp syndrome or cutis verticis gyrata (CVG) is a rare cutaneous disorder with an incidence of just 0.026 to 1 per 100,000 population and cosmetic problems should not be ignored as they can affect the quality of life of patients in social and psychological aspects. In CVG the scalp thickens to form folds resembling sulci and gyri just as the skin fold of bulldog. It is a clinical diagnosis with various etiologies. It is classified as primary essential or nonessential and secondary CVG. It can manifest with symptoms ranging from mild to severe intensity. Cosmetic problems are the major concern that can affect patients' social and psychological health. If the folds are heavy, they can cause mass symptoms. Thus, surgery remains the definitive treatment option for improving the cosmetic appearance. Both our cases have different etiologies, however, were managed surgically with removal of skin folds (gyrae) and scoring of aponeuroses of the scalp followed by stretching of the scalp and closure to improve appearance. The surgical team as well as patients were satisfied with the appearance of the scalp after healing. CVG though a rare disease with various etiologies is a benign condition with good prognosis with no reports of malignant transformation so far.

Kennedy Epitope (KE)-dependent Retrograde Transport of Efficiently Cleaved HIV-1 Envelopes (Envs) and its Effect on Env Cell Surface Expression and Viral Particle Formation.

Efficiently cleaved HIV-1 Envs are the closest mimics of functional Envs as they specifically expose only bNAb (broadly neutralizing antibody) epitopes and not non-neutralizing ones, making them suitable for developing vaccine immunogens. We have previously identified several efficiently cleaved Envs from clades A, B, C and B/C. We also described that truncation of the CT (C-terminal tail) of a subset of these Envs, but not others, impairs their ectodomain conformation/antigenicity on the cell surface in a CT conserved hydrophilic domain (CHD) or Kennedy epitope (KE)-dependent manner. Here, we report that those Envs (4 - 2.J41 and JRCSF), whose native-like ectodomain conformation/antigenicity on the cell surface is disrupted upon CT truncation, but not other Envs like JRFL, whose CT truncation does not have an effect on ectodomain integrity on the cell surface, are also defective in retrograde transport from early to late endosomes. Restoration of the CHD/KE in the CT of these Envs restores wild-type levels of distribution between early and late endosomes. In the presence of retrograde transport inhibitor Retro 2, cell surface expression of 4 - 2.J41 and JRCSF Envs increases [as does in the presence of Rab7a DN and Rab7b DN (DN: dominant negative)] but particle formation decreases for 4 - 2.J41 and JRCSF Env pseudotyped viruses. Our results show for the first time a correlation between CT-dependent, CHD/KE regulated retrograde transport and cell surface expression/viral particle formation of these efficiently cleaved Envs. Based on our results we hypothesize that a subset of these efficiently cleaved Envs use a CT-dependent, CHD/KE-mediated mechanism for assembly and release from late endosomes.

Intelligent planning of controllers for improved resilience in multi-area system involving nuclear power.

Increased innovation on finding new ways to generate energy from different sources to meet the growing demand of consumers has led to various challenges in controlling the power network when it faces different disruptions. To address these challenges, a new approach has been proposed in this research paper, which combines a controller with a soft computing technique called Particle Swarm Optimization (PSO). The study considers a power system with four units, where three different energy sources are utilized and distributed across two areas. Each area has two power sources, with one area having a combination of thermal and gas power plants, and the other area consisting of a nuclear power plant and a gas power plant. Transmitting power from the nuclear power plant is particularly complex due to its high sensitivity to disturbances. Therefore, an intelligent and efficient controller is needed to ensure robust control in this type of power network that includes nuclear power. The paper also conducts a thorough analysis of the harmful emissions associated with electricity generation from the different power plants considered. The goal is to reduce the carbon footprint associated with power generation. The proposed work and analysis in the paper are implemented using the MATLAB/SIMULINK environment.

Retraction: To Study the Effect of Anterior Palatal Surface Modifications of Complete Denture on Speech Intelligibility Oral Perception and Cortical Brain Function Activity: An In Vivo Study.

[This retracts the article DOI: 10.7759/cureus.33595.].

A comparative study to evaluate the heat generated during osteotomy with conventional drill, trephine and alveolar expander.

Purpose: Excessively produced heat could lead to clinical failure of osseointegration. This study was done to compare the heat generated during osteotomy with the conventional drill, trephine, and alveolar expander . Materials and methods: This in vitro study was performed on ten bovine femoral bones. In each femoral bone, three osteotomy sites were prepared at a distance of 1.5cm using the conventional drill, trephine, and alveolar expander. During osteotomy, the site was irrigated with a copius amount of normal saline. Osteotomy sites of 3.6 mm in diameter and 11.5 mm in length were prepared using the conventional drill and bone trephines. The alveolar expander used for preparing the osteotomy site was 3.5mm, the nearest dimensions available. The temperature rise was measured using a thermocouple thermometer. Repeated measures ANOVA and Fisher's least significant difference pairwise comparison test was done for statistical analysis. Results: Repeated measures ANOVA revealed a significant difference in the heat generation with the conventional drill, trephine, and alveolar expander (p<0.001). The mean heat generated was maximum with the trephine (28.26±0.246 0C) followed by the conventional drill (27.27±0.297 0C) and least with alveolar expander (25.64±0.142 0C). Pairwise comparison showed a significant difference in heat generated during osteotomy with conventional drill compared to trephine (P=0.023), conventional drill compared to alveolar expander (P=0.014), and trephine compared to alveolar expander (P<0.001). Conclusion: The heat generated with trephine was maximum compared to the alveolar expander and conventional drills. If in case trephine is to be used, both internal and external irrigation must be used. Less heat generation during osteotomy by alveolar expander seems very promising and advantageous for better osseointegration.

An expeditious on-water regioselective synthesis of novel arylidene-hydrazinyl-thiazoles as DNA targeting agents.

A series of twenty novel (E)-arylidene-hydrazinyl-thiazole derivatives has been synthesized employing α-bromo-ß-diketones, thiosemicarbazide, and aromatic/heteroaromatic aldehydes with a simple and facile one-pot multicomponent reaction passageway. This organic transformation proceeds efficiently in aqueous media and demonstrated a large functional group tolerance. The structures and stereochemistry of the regioisomeric product were rigorously characterized using heteronuclear 2D NMR experiments. The binding potential of the synthesized analogs with B-DNA dodecamer d(CGCGAATTCGCG)2 was primarily screened using molecular modeling tools and further, mechanistic investigations (either groove or intercalation) were performed using various spectroscopic techniques such as UV-Visible, Fluorescence, and Circular dichroism. The absorption spectra showed a hyperchromic shift in the absorption maxima of ctDNA with successive addition of thiazole derivatives, implying groove binding mode of interactions, further supported by displacement assay and circular dichroism analysis. Furthermore, steady-state fluorescence analysis revealed the static mode of quenching and moderate bindings between the ligand and DNA biomolecule. The competitive studies showed that the derivatives having a pyridinyl (heteroaromatic) group in their structure, bind with the nucleic acid of calf-thymus (ctDNA) more effectively in the minor groove region as compared with the aromatic substitutions.

Infant & Child Mortality in Pakistan and its Determinants: A Review.

Over the years, several developing countries have been suffering from high infant and child mortality rates, however, according to the recent statistics, Pakistan falls high on the list. Our narrative review of copious research on this topic highlights that several factors, such as complications associated with premature births, high prevalence of birth defects, lack of vaccination, unsafe deliveries, poor breastfeeding practices, complications during delivery, sudden infant death syndrome (SIDS), poor socioeconomic conditions, and a struggling healthcare system, have influenced these rates. Bearing in mind the urgency of addressing the increased infant and child mortality rate in Pakistan, multiple steps must be taken in order to prevent unnecessary deaths. An effective initiative could be spreading awareness and education among women, as a lack of education among women has been indirectly linked to increased child mortality in Pakistan across many researches conducted on the issue. Furthermore, the government should invest in healthcare by hiring more physicians and providing better supplies and improving infrastructure, especially in underdeveloped areas, to decrease child mortality due to lack of clean water and poor hygiene. Lastly, telemedicine should be made common in order to provide easy access to women who cannot visit the hospital.

To Study the Effect of Anterior Palatal Surface Modifications of Complete Denture on Speech Intelligibility Oral Perception and Cortical Brain Function Activity: An In Vivo Study.

BACKGROUND:  The classic maxillary full denture covers the whole palate, preventing the tongue from touching the denture base tissues itself. Thus, it has deleterious effects on cortical brain function and the ability to understand spoken language. AIM:  This study aimed to determine the effect of anterior palatal surface modifications of the complete denture on speech intelligibility oral perception and cortical brain function activity. METHODS AND MATERIALS:  This study compared the speech clarity, oral discernment, and cortical mind capability activity of complete denture wearers in three study groups: a) complete denture wearers with a small opening (SO) in the maxillary front palatal base; b) complete denture patients who wear regular complete denture; c) complete denture patients who did not wear complete denture; and d) complete denture patients who wear a functionally contoured modified palate (FCMP). Patients with no teeth at all underwent four phases of testing to assess their cognitive abilities and speech quality (pitch and volume). In the first phase, partial dentures were used. During phase 2, a conventional full denture was inserted. In the third phase, a palatal base denture was functionally altered. In phase 4, dentures with a little aperture at the front of the palatal base were used.  Results: The values of pitch and intensity of sound in category A with FCMP modification I were 180.76 ± 24.12 and 73.27 ± 9.74, respectively. On the other hand, the values of pitch and intensity of sound in category B with FCMP modification I were 185.41 ± 27.29 and 73.91 ± 8.31, respectively. The values of pitch and intensity of sound in category A with SO modification II were 188.52 ± 21.11 and 76.13 ± 5.21, respectively. On the other hand, the values of pitch and intensity of sound in category B with SO modification II were 194.59 ± 24.02 and 75.21 ± 6.12, respectively. The findings for values of pitch and intensity were statistically significant among the four phases (p < 0.001). The highest speech intelligibility and cortical brain function were observed in phase 4 in both categories A and B, with the highest scores by experts of 3.21 and 3.42, respectively. Conclusion: Based on the findings of this in vivo investigation, it can be concluded that using modified dentures (modification types I and II) following denture installation improves speech intelligibility, oral perception, and cortical brain function activity.

Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends.

People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning (ML) are under increased pressure to develop algorithms faster than ever. The possibility of revealing innovative insights and speeding breakthroughs lies in using large datasets integrated on several levels. However, even if there is more data at our disposal than ever, only a meager portion is being filtered, interpreted, integrated, and analyzed. The subject of this technology is the study of how computers may learn from data and imitate human mental processes. Both an increase in the learning capacity and the provision of a decision support system at a size that is redefining the future of healthcare are enabled by AI and ML. This article offers a survey of the uses of AI and ML in the healthcare industry, with a particular emphasis on clinical, developmental, administrative, and global health implementations to support the healthcare infrastructure as a whole, along with the impact and expectations of each component of healthcare. Additionally, possible future trends and scopes of the utilization of this technology in medical infrastructure have also been discussed.

Cardiovascular diseases display etiological and seasonal trend in human population: Evidence from seasonal cardiovascular comorbid diseases (SCCD) index.

Seasonal changes in the human cardiovascular system are known to play an important role in the onset of many diseases. Confounding variables include behavioral and environmental factors; failing to address such variables makes measuring the true temporal impact of these diseases difficult. On the other hand, numerous clinical studies imply that only specific groups of people are more seasonal sensitive and that their maladaptation might contribute to various illnesses. As a result, it is critical to evaluate the etiological and seasonal sensitive patterns of cardiovascular diseases (CVD), which impact the majority of the human population. The hypothesis for this study formulated that cardiovascular and associated illnesses had substantial connections with seasonal and etiological variations. Thus in the present study, 4519 systematic screen-eligible studies were analyzed using data mining to uncover 852 disease association relationships between cardiovascular and associated disorders. A disease ontology-based semantic similarity network (DSN) analysis was performed to narrow down the identified CVDs. Further, topological analysis was used to predict the seven CVDs, including myocardial infarction (MI), in three clusters. Following that, Mann-Kendall and Cox-Stuart analyses were used to investigate the seasonal sensitivity and temporal relationship of these seven CVDs. Finally, temporal relationships were confirmed using LOESS and TBATS, as well as seasonal breakdown utilizing autocorrelation and fast Fourier transform results. The study provides indirect evidence of a severe etiological association among the three cardiovascular diseases, including MI, atrial fibrillation, and atherosclerosis, which are winter season sensitive in most of the world population. Hypertension has two seasonal falls and peaks due to its seasonal nature, that is, summer and winter hypertension. While, heart failure was also identified, with minor temporal trends. Hence, all five diseases could be classified as seasonal cardiovascular comorbid diseases (SCCD). Furthermore, these diseases could be studied for potential common risk factors such as biochemical, genetic, and physiological factors.

miRNA dysregulation in traumatic brain injury and epilepsy: a systematic review to identify putative biomarkers for post-traumatic epilepsy.

Traumatic brain injury (TBI) leads to post-traumatic epilepsy (PTE); hence, both TBI and PTE share various similar molecular mechanisms. MicroRNA (miRNA) is a small noncoding RNA that acts as a gene-silencing molecule. Notably, the dysregulation of miRNAs in various neurological diseases, including TBI and epilepsy, has been reported in several studies. However, studies on commonly dysregulated miRNAs and the regulation of shared pathways in both TBI and epilepsy that can identify potential biomarkers of PTE are still lacking. This systematic review covers the peer-review publications of TBI and database studies of epilepsy-dysregulated miRNAs of clinical studies. For TBI, 290 research articles were identified after screening, and 12 provided data for dysregulated miRNAs in humans. The compiled data suggest that 85 and 222 miRNAs are consecutively dysregulated in TBI and epilepsy. In both, 10 miRNAs were found to be commonly dysregulated, implying that they are potentially dysregulated miRNAs for PTE. Furthermore, the targets and involvement of each putative miRNA in different pathways were identified and evaluated. Additionally, clusters of predicted miRNAs were analyzed. Each miRNA's regulatory role was linked with apoptosis, inflammation, and cell cycle regulation pathways. Hence, these findings provide insight for future diagnostic biomarkers.