Structural Insights of PD-1/PD-L1 Axis: An In silico Approach.

BACKGROUND: Interaction of PD-1 protein (present on immune T-cell) with its ligand PD-L1 (over-expressed on cancerous cell) makes the cancerous cell survive and thrive. The association of PD-1/PD-L1 represents a classical protein-protein interaction (PPI), where receptor and ligand binding through a large flat surface. Blocking the PD-1/PDL-1 complex formation can restore the normal immune mechanism, thereby destroying cancerous cells. However, the PD-1/PDL1 interactions are only partially characterized. OBJECTIVE: We aim to comprehend the time-dependent behavior of PD-1 upon its binding with PD-L1. METHOD: The current work focuses on a molecular dynamics simulation (MDs) simulation study of apo and ligand bound PD-1. RESULTS: Our simulation reveals the flexible nature of the PD-1, both in apo and bound form. Moreover, the current study also differentiates the type of strong and weak interactions which could be targeted to overcome the complex formation. CONCLUSION: The current article could provide a valuable structural insight about the target protein (PD-1) and its ligand (PD-L1) which could open new opportunities in developing small molecule inhibitors (SMIs) targeting either PD-1 or PD-L1.

Nanomaterials as drug delivery agents for overcoming the blood-brain barrier: A comprehensive review.

Background and Purpose: The blood-brain barrier (BBB), a critical interface of specialized endothelial cells, plays a pivotal role in regulating molecular and ion transport between the central nervous system (CNS) and systemic circulation. Experimental Approach: This review aims to delve into the intricate architecture and functions of the BBB while addressing challenges associated with delivering therapeutics to the brain. Historical milestones and contemporary insights underscore the BBB's significance in protecting the CNS. Key Results: Innovative approaches for enhanced drug transport include intranasal delivery exploiting olfactory and trigeminal pathways, as well as techniques like temporary BBB opening through chemicals, receptors, or focused ultrasound. These avenues hold the potential to reshape conventional drug delivery paradigms and address the limitations posed by the BBB's selectivity. Conclusion: This review underscores the vital role of the BBB in maintaining CNS health and emphasizes the importance of effective drug delivery through this barrier. Nanoparticles emerge as promising candidates to overcome BBB limitations and potentially revolutionize the treatment of CNS disorders. As research progresses, the application of nanomaterials shows immense potential for advancing neurological therapeutics, albeit with careful consideration of safety aspects.

Computational Exploration of Naturally Occurring Flavonoids as TGF-ß Inhibitors in Breast Cancer: Insights from Docking and Molecular Dynamics Simulations and In-vitro Cytotoxicity Study.

Breast cancer is a global health concern, demanding innovative treatments. Targeting the Transforming Growth Factor-beta (TGF-ß) signaling pathway, pivotal in breast cancer, is a promising approach. TGF-ß inhibits proliferation via G1 phase cell cycle arrest, acting as a suppressor initially, but in later stages, it promotes progression by enhancing motility, invasiveness, and metastasis formation. This study explores naturally occurring flavonoids' interactions with TGF-ß. Using molecular docking against the protein's crystal structure (PDB Id: 1PY5), Gossypin showed the highest docking score and underwent molecular dynamics simulation, revealing complex flexibility and explaining how flavonoids impede TGF-ß signaling in breast cancer. ADMET predictions adhered to Lipinski's rule of Five. Insights into flavonoid-TGF-ß binding offer a novel angle for breast cancer treatment. Flavonoids having a good docking score like gossypin, morin, luteolin and taxifolin shown potent cytotoxic effect on breast cancer cell line, MCF-7. Understanding these interactions could inspire flavonoid-based therapies targeting TGF-ß to halt breast cancer growth. These findings pave the way for personalized, targeted breast cancer therapies, offering hope against this formidable disease.

Decrypting the multifaceted peripheral neuropathy based on molecular pathology and therapeutics: a comprehensive review.

CONTEXT: Peripheral neuropathy (PN) is a multifaceted complication characterized by nerve damage due to oxidative stress, inflammatory mediators, and dysregulated metabolic processes. Early PN manifests as sensory changes that develop progressively in a "stocking and glove" pattern. METHODS AND MECHANISMS: A thorough review of literature has been done to find the molecular pathology, clinical trials that have been conducted to screen the effects of different drugs, current treatments and novel approaches used in PN therapy. Diabetic neuropathy occurs due to altered protein kinase C activity, elevated polyol pathway activity in neurons, and Schwann cells-induced hyperglycemia. Other causes involve chemotherapy exposure, autoimmune ailments, and chronic ethanol intake. CONCLUSION: Symptomatic treatments for neuropathic pain include use of tricyclic antidepressants, anticonvulsants, and acetyl-L-carnitine. Patients will have new hope if clinicians focus on novel therapies including gene therapy, neuromodulation techniques, and cannabidiol as an alternative to traditional medications, as management is still not ideal.

Investigating the Antioxidant Capacity of Newly Synthesized Flavonoids via DPPH Assay.

BACKGROUND: Numerous naturally occurring and artificially synthesized flavonoids have garnered attention for their impressive ability to combat oxidative stress and scavenge free radicals when evaluated in laboratory settings. The core aim of our investigation revolved around assessing the antioxidant potential of a diverse range of synthesized flavonoids through in vitro experiments. METHOD: We crafted 29 distinct flavonoids using the aldol condensation mechanism via a chalcone intermediate to accomplish this. We meticulously characterized these newly formed compounds using a variety of spectroscopic techniques. We employed the widely recognized DPPH free radical method for the crucial antioxidant evaluation, a benchmark in such studies Result: The radical scavenging efficacy of our synthesized flavonoids was then meticulously compared to that of the positive control, ascorbic acid, renowned for its antioxidant prowess, and the IC50 values for each compound were calculated and examined. Surprisingly, our results showed that the flavonoids we tested had a wide range of antioxidant activity, with IC50 values that ranged from 75.8 ± 8.30 to 397 ± 25.10 µg/mL. CONCLUSION: Intriguingly, compounds US5, US13, US16, US17, US18, and US21 outshone even ascorbic acid in their antioxidant potential, displaying remarkable scavenging abilities against free radicals. This discovery holds promise for further exploration of these compounds as potential antioxidants with potential applications in health and wellness.

Emerging green synthetic routes for thiazole and its derivatives: Current perspectives.

This review article provides an overview of the green synthesis of thiazole derivatives, emphasizing sustainable and environmentally friendly methodologies. Thiazole derivatives possess significant value and find diverse applications across various fields. However, conventional synthesis methods often involve hazardous reagents and generate substantial waste, posing environmental concerns. The green synthesis of thiazole derivatives employs renewable starting materials, nontoxic catalysts, and mild reaction conditions to minimize environmental impact. Innovative techniques such as microwave irradiation, ultrasound synthesis, green solvents, a green catalyst-based approach, and mechanochemistry-mediated synthesis are employed, offering advantages in terms of scalability, cost-effectiveness, and purification simplicity. The resulting thiazole derivatives exhibit comparable or enhanced biological activities, showcasing the feasibility and practicality of green synthesis in drug discovery. This review paper underscores the importance of sustainable approaches in functional molecular synthesis and encourages further research in this domain.

Molecular pathology and therapeutics of the diabetic foot ulcer; comprehensive reviews.

Diabetes mellitus (DM) is a chronic metabolic condition linked to high blood sugar levels. Diabetes causes complications like neuropathy, nephropathy, and retinopathy. Diabetes foot ulcer (DFU) is a significant and serious wound healing issue resulting from uncontrolled DM. The main causes of the development of the DFU are oxidative stress brought on by the NO moiety, release of pro-inflammatory cytokines like tumour necrosis factor (TNF)-α and interleukin (IL-1), cellular dysfunction, and pathogenic microorganisms including staphylococcus and streptococcus species. The two main types of wounds that are prevalent in DFU patients are neuropathic and neuroischemic. If this wound is not properly treated or cared for, a lower limb may have to be amputated. There are several therapy options for DFU, including antibiotics, debridement, dressings, nano formulations, and growth factor preparations like PDGF-BB, to help the wound heal and prevent amputation. Other novel approaches involved the use of nerve taps, microneedle patches, nanotechnology-based formulations and stem cell applications to promote healing. There are possibilities of drug repurposing for the DFU treatment based on targeting specific enzymes. This article summarises the current pathophysiological aspects of DFU and its probable future targets.

A Review of the Therapeutic Importance of Indole Scaffold in Drug Discovery.

Indole is known as a versatile heterocyclic building block for its multiple pharmacological activities and has a high probability of success in the race for drug candidates. Many natural products, alkaloids, and bioactive heterocycles contain indole as the active principle pharmacophore. These encourage the researchers to explore it as a lead in the drug development process. The current manuscript will serve as a torchbearer for understanding the structurally diverse class of indole derivatives with extensive pharmacological activity. The current manuscript describes the intermediates and their functional groups responsible for superior biological activity compared to the standard. The review is written to help researchers to choose leads against their target but also to provide crucial insight into the design of a hybrid pharmacophore-based approach in drug design with enhanced potential. The present reviews on the indole derivatives correlate the structures with biological activities as well as essential pharmacophores, which were highlighted. The discussion was explored under challenging targets like dengue, chikungunya (anti-viral), antihypertensive, diuretic, immunomodulator, CNS stimulant, antihyperlipidemic, antiarrhythmic, anti-Alzheimer's, and neuroprotective, along with anticancer, antitubercular, antimicrobial, anti-HIV, antimalarial, anti-inflammatory, antileishmanial, antianthelmintic, and enzyme inhibitors. So, this review includes a discussion of 19 different pharmacological targets for indole derivatives that could be utilized to derive extensive information needed for ligand-based drug design. The article will guide the researchers in the selection, design of lead and pharmacophore, and ligand-based drug design using indole moiety.

Atorvastatin's Reduction of Alzheimer's Disease and Possible Alteration of Cognitive Function in Midlife as well as its Treatment.

Over the past 20 years, advances in the field of pathogenesis have inspired researchers to look into novel pharmacological therapeutics that are more focused on the pathophysiological events of the disease (AD). This review article discussed the prior use of statins for the prevention of Alzheimer's disease, which can help prevent the disease. Other drugs, such as memantine and donepezil, are available, but they cannot prevent the onset of AD in middle age. Based on available clinical data, the valuable effects of statins are mediated by alteration of ß-amyloid (Aß) and tau metabolism, genetic and lifestyle risk factors, along with other clinical aspects of AD. These findings suggested that using statins in middle age may help to prevent Alzheimer's disease by modifying genetic and non-genetic risk factors in later stages of life. In the present review, we elaborated upon the modification of risk factors and amyloid metabolism in the development and progression of AD and their modulation through atorvastatin. Future directions in the research and treatment of Alzheimer's disease patients include the use of antisense oligonucleotides (ASO) to change target expression, and researchers discovered decreased markers of oxidative stress in tissues affected by tau pathology in response to RNA interference treatment.

Xenobots: Applications in Drug Discovery.

This review work discusses the applications of xenobots in drug discovery. These are the world's first tiny robots that are living. Robots are built of metals and other things that benefit humans to solve various issues; however, in this case, small xenobots were built utilizing Xenopus laevis, frog embryonic stem cells in the blastocyte stage. Xenobots were created by combining bioscience, artificial intelligence, and computer science. Artificial intelligence constructs several forms of design in an in vitro, In-silico model, after which software analyzes the structure; the most substantial and most noticeable forms are filtered out. Later in vivo development create the design of the Petri plate using the MMR solution and makes the same form as the in silico approach. Ultimately evaluation done based on the behavior, movement, function, and features of xenobots. Xenobots are employed in medical research, pharmaceutical research to evaluate novel dosage forms, also useful for biotechnological and environmental research. Xenobots can be utilized to cure neurodegenerative disorders such as Alzheimer's, Parkinson's disease, and cancer-related issues because of their selfrepairing properties, which allow them to repair normal damaged cells, and convey drugs to their specific target, and reduce cytotoxicity in mostly malignancy circumstances. In the future, new approaches will be employed to treat chronic illnesses and their complications.

Probiotic Formulations: A Patent Landscaping Using the Text Mining Approach.

The outstanding research outcomes and registrations of myriads of probiotic strains have flooded the health market with various innovative probiotic-based products and their patents. The study of patented formulations of probiotics can give an overall insight into its existing application. A landscaping review of patents for probiotic-based preparations is presented in the current work. The patent search was performed over commercially available patent databased and analysis tool-PatSeer Pro®. Search strings containing words "Formulation" and "Composition" resulted in more than 3700 patents. Landscaping review of 400 + patents from the last 20 years (2000-2020) was performed using the Text-Mining approach. Text-Mining helped to identify 19 technological clusters which represent these patents. These clusters include the patents of probiotic preparations on animal feed, human food, cosmetics, antimicrobial, antidiabetic, arthritis, etc. A review of this massive number of patents unveiled many exciting preparations. Probiotic-based innovative products for depression, diabetes, Parkinson's, tumor, acne, and animal husbandry are reviewed comprehensively. The present work also unravels a few new-flanged products like probiotic layered condoms, products for acute alcoholism, and traditional Chinese medicine with probiotics. The patent landscape of probiotic-based preparations has presented a whole scenario of probiotic-based preparations. It has also revealed many unexplored areas where innovation can be excelled.

Pharmacological Study of A3 Adenosine Receptor agonist (AB Meca) in Xenograft Lung Cancer Model in Mice through In Silico and In Vivo Approach: Targeting TNF-α.

BACKGROUND: Lung cancer is the leading cause of mortality in India. Adenosine Receptor (AR) has emerged as a novel cancer-specific target. A3AR levels are upregulated in various tumor cells, which may mean that the specific AR may act as a biological marker and target specific ligands leading to cell growth inhibition. AIM: Our aim was to study the efficacy of the adenosine receptor agonist, AB MECA, by in silico (molecular docking) and in vitro (human cancer cells in xenografted mice) studies. METHODS: Molecular docking on the AB-meca and TNF-α was performed using AutoDock. A549 Human lung cancer 2 ×106 cells per microliter per mouse injected via intrabronchial route. Rat TNF-α level was assessed by ELISA method. RESULTS: AB Meca's predicted binding energy (beng) with TNF-α was 97.13 kcal/mol, and the compatible docking result of a small molecular inhibitor with TNF-α native ligand beng was 85.76 kcal/mol. In vivo, a single dose of lung cancer cell A549 is being researched to potentiate tumor development. Doxorubicin and A3AR agonist therapies have lowered TNF-alpha levels that were associated with in silico function. The A3AR Agonist showed myeloprotective effects in the groups treated along with doxorubicin. CONCLUSION: AB MECA's higher binding energy (beng) with TNF-α mediated reduction of tumor growth in our lung cancer in vivo model suggested that it may be an effective therapy for lung cancer.

Role of Natural and Synthetic Flavonoids as Potential Aromatase Inhibitors in Breast Cancer: Structure-Activity Relationship Perspective.

World Health Organization categorized breast cancer as one of the leading cancer types in females worldwide, and its treatment remains challenging. Accumulated evidence suggested the role of estrogen and its metabolites in pre- and post-menopausal women. Upregulation of estrogen-dependent aromatase is significantly involved in the pathogenesis of breast cancer. Several aromatase inhibitors, such as exemestane, formestane, and letrozole, are being used clinically, owing to their estrogen suppression role. Apart from these drugs, several other molecules, such as natural and synthetic flavonoids, have been reported widely for a similar biological activity. However, some reasonable modifications are required for these structures to achieve desired efficacy and to alleviate toxicity. Designing a novel aromatase inhibitor will be possible if we can establish a rational correlation between the chemistry and biological features of the existing molecules. The benzopyranone- ring system, present in the flavonoid molecules, has been reported as a pharmacophore due to its inhibitory activity on aromatase, which helps repress breast cancer progression. This essential feature has been utilized to modify several natural flavonoids into 5 and 7 hydroxy/methoxy flavone, 4-imidazolyl/triazolyl flavone, 5,4'- diamino flavone, 7,8- benzo-4-imidazolyl flavone, α-naphthoflavone, and 2-azole/thiazolyl isoflavone derivatives. These scaffolds have been considered in this review for meticulous study in aspects of the structure-activity relationship for aromatase inhibitory activity, and it would likely pave the way for designing a potential lead candidate in the future.

In Vitro Cytotoxicity and Aromatase Inhibitory Activity of Flavonoids: Synthesis, Molecular Docking and In silico ADME Prediction.

BACKGROUND: Many natural and synthetic flavonoids have been studied and documented by inhibiting aromatase enzymes for their anti-cancer activity against breast carcinoma. The aromatase enzyme is a possible target for the estrogen's positive breast cancer receptor. OBJECTIVE: Hence, a series of flavonoids have been synthesized and assessed for their in vitro cytotoxicity and aromatase inhibitory activity. METHODS: 39 Flavonoids were synthesized and characterized by spectroscopic techniques, and their computational study was performed using the maestro version of the Schrodinger. In silico ADME properties were checked by QikProp software. A total of 18 compounds were evaluated based on the docking score using cytotoxicity assay in human breast cancer cell line MCF-7. RESULTS: Of the 18 compounds tested, 07 compounds, namely 2b, 8b, 14b, 15b, 19b, 24b, and 30b flavonoids were found to be more active with their IC50 values of 20.73 µM, 1.636 µM, 16.08 µM, 22.02 µM, 15.75 µM, 0.345 µM and 16.08 µM, respectively, compared with the reference drug letrozole. The in vitro aromatase inhibitory activity of six compounds 2b, 8b, 14b, 19b, 24b, and 30b was conducted using a fluorogenic assay kit. The values of IC50 for compounds 2b and 24b were found to be 0.31 µM and 0.36 µM, respectively. CONCLUSION: Therefore, it was concluded that compounds 2b and 24b had a potent inhibitory effect of aromatase compared with letrozole with an IC50 value of 0.86 µM. At the same time, the other compounds 8b, 14b, 30b, and 19b were considered to have similar aromatase inhibitory activity. Hence, their essential aromatase inhibitory activities make them good lead candidates for developing potent inhibitors of aromatase.

Development of Natural Bioactive Alkaloids: Anticancer Perspective.

Cancer is a frightful disease that still poses a 'nightmare' worldwide, causing millions of casualties annually imposing one of the human race's greatest health-care challenges that entail a pragmatic treatment strategy. Plants are repositories for new chemical entities and have a promising cancer research path, supplying 60% of the anticancer agents currently used. However, plants and plant-derived products revolutionize the field, as they are quick, cleaner, eco-friendly, low-cost, effective, and less toxic than conventional treatment methods. Alkaloids are important chemical compounds that serve as a rich reservoir for drug discovery and development. However, some alkaloids derived from natural herbs display anti-proliferation and antimetastatic activity on different forms of cancer both in vitro and in vivo. Alkaloids have also been widely formulated as anticancer medications, such as camptothecin and vinblastine. Based on the information in the literature, this review focuses on the naturally-derived bioactive alkaloids with prospective anticancer properties. Still, more research and clinical trials are required before final recommendations can be made on specific alkaloids.

Inhibitory Effect of Artemisinin on Testosterone Propionate Induced Benign Prostatic Hyperplasia.

BACKGROUND: Benign prostate hyperplasia [BPH] is an abnormal growth of prostate observed commonly in elderly males. Artemisinin has been reported to reduce the levels of testosterone. OBJECTIVE: This study is designed to evaluate the efficacy of Artemisinin on testosterone propionate [TP] induced benign prostate hyperplasia. MATERIALS AND METHODS: Male Wistar albino rats [n=24] were separated into four groups of six rats each. Group I served as control and distilled water using tween 80 as an emulsifying agent was administered subcutaneously. BPH was induced by testosterone propionate 3mg/kg [Group II], S.C. daily for 28 days. Group III was BPH + Finasteride treated group (10mg/kg orally for 28 days) and BPH + Artemisinin treated group (Group IV) (50 mg/kg orally for 28 days). RESULT: The study results showed significantly high levels of serum prostatic acid phosphatase (PAP), lactate dehydrogenase (LDH) and an elevation in prostate weight and prostatic index in Group II (BPH) when compared with Group I. The histopathological examination showed an increase in the epithelial proliferation of prostatic cells with involutions protruding into the lumen in BPH group when compared to the normal group. Treatment with Artemisinin (50 mg/kg) reduced the levels of PAP, LDH, prostate weight and prostatic index to a significant extent and restored the histoarchitectural features of the cells. CONCLUSION: The present study concludes that Artemisinin is efficacious in testosterone propionate induced BPH. This could be attributed, at least partly, to its anti-inflammatory property or its role in testosterone level reduction or as a Vitamin D receptor modulator.

Predictors of clinically relevant differences between noninvasive versus arterial blood pressure.

OBJECTIVE: Blood pressure (BP) measurements are important for managing patients with hypertensive emergencies (HE). Previous studies showed that there was significant difference between IABP and NIBP but no information whether these differences changed management. Our study investigated the factors associated with the differences affecting BP management of patients with HE. METHODS: This was a retrospective study involving adult patients admitted to a resuscitation unit. We screened all patients who received IABP upon admission between 06/01/2017 and 12/31/2017 as sample size calculation recommended 64 patients. Primary outcome was the clinical relevance of the difference of IABP vs. NIBP, which was defined as having both: a) difference of 10 mm of mercury (mmHg), and b) resulting in possible change of blood pressure managements according to treatment guidelines. We performed backward stepwise multivariable logistic regression to measure associations. RESULTS: We analyzed 147 patients whose mean age was 69 (±16) years and included 69 (47%) patients with spontaneous intracerebral hemorrhage (sICH). Mean difference between IABP and NIBP was 21 (±16) mmHg while 41 (28%) patients who had difference affecting managements. In multivariable regression, sICH (Odd Ratios 13.5, 95%CI 2.3-79.5, p-value < 0.001) was significantly associated with clinically relevant difference between the two modalities of BP monitoring. CONCLUSIONS: There was a large difference between IABP and NIBP among patients with hypertensive emergencies. Up to 30% of patients had clinically relevant differences. Patients with sICH were more likely to have differences affecting BP management. Further studies are needed to confirm our observation.

Review and Analysis of Massively Registered Clinical Trials of COVID-19 using the Text Mining Approach.

OBJECTIVE: Immediately after the outbreak of nCoV, many clinical trials are registered for COVID-19. The numbers of registrations are now raising inordinately. It is challenging to understand which research areas are explored in this massive pool of clinical studies. If such information can be compiled, then it is easy to explore new research studies for possible contributions in COVID-19 research. METHODS: In the present work, a text-mining technique of artificial intelligence is utilized to map the research domains explored through the clinical trials of COVID-19. With the help of the open-- source and graphical user interface-based tool, 3007 clinical trials are analyzed here. The dataset is acquired from the international clinical trial registry platform of WHO. With the help of hierarchical cluster analysis, the clinical trials were grouped according to their common research studies. These clusters are analyzed manually using their word clouds for understanding the scientific area of a particular cluster. The scientific fields of clinical studies are comprehensively reviewed and discussed based on this analysis. RESULTS: More than three-thousand clinical trials are grouped in 212 clusters by hierarchical cluster analysis. Manual intervention of these clusters using their individual word-cloud helped to identify various scientific areas which are explored in COVID19 related clinical studies. CONCLUSION: The text-mining is an easy and fastest way to explore many registered clinical trials. In our study, thirteen major clusters or research areas were identified in which the majority of clinical trials were registered. Many other uncategorized clinical studies were also identified as "miscellaneous studies". The clinical trials within the individual cluster were studied, and their research purposes are compiled comprehensively in the present work.

Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy.

This study explored the taxonomy of cognitive impairment within temporal lobe epilepsy and characterized the sociodemographic, clinical and neurobiological correlates of identified cognitive phenotypes. 111 temporal lobe epilepsy patients and 83 controls (mean ages 33 and 39, 57% and 61% female, respectively) from the Epilepsy Connectome Project underwent neuropsychological assessment, clinical interview, and high resolution 3T structural and resting-state functional MRI. A comprehensive neuropsychological test battery was reduced to core cognitive domains (language, memory, executive, visuospatial, motor speed) which were then subjected to cluster analysis. The resulting cognitive subgroups were compared in regard to sociodemographic and clinical epilepsy characteristics as well as variations in brain structure and functional connectivity. Three cognitive subgroups were identified (intact, language/memory/executive function impairment, generalized impairment) which differed significantly, in a systematic fashion, across multiple features. The generalized impairment group was characterized by an earlier age at medication initiation (P < 0.05), fewer patient (P < 0.001) and parental years of education (P < 0.05), greater racial diversity (P < 0.05), and greater number of lifetime generalized seizures (P < 0.001). The three groups also differed in an orderly manner across total intracranial (P < 0.001) and bilateral cerebellar cortex volumes (P < 0.01), and rate of bilateral hippocampal atrophy (P < 0.014), but minimally in regional measures of cortical volume or thickness. In contrast, large-scale patterns of cortical-subcortical covariance networks revealed significant differences across groups in global and local measures of community structure and distribution of hubs. Resting-state fMRI revealed stepwise anomalies as a function of cluster membership, with the most abnormal patterns of connectivity evident in the generalized impairment group and no significant differences from controls in the cognitively intact group. Overall, the distinct underlying cognitive phenotypes of temporal lobe epilepsy harbor systematic relationships with clinical, sociodemographic and neuroimaging correlates. Cognitive phenotype variations in patient and familial education and ethnicity, with linked variations in total intracranial volume, raise the question of an early and persisting socioeconomic-status related neurodevelopmental impact, with additional contributions of clinical epilepsy factors (e.g., lifetime generalized seizures). The neuroimaging features of cognitive phenotype membership are most notable for disrupted large scale cortical-subcortical networks and patterns of functional connectivity with bilateral hippocampal and cerebellar atrophy. The cognitive taxonomy of temporal lobe epilepsy appears influenced by features that reflect the combined influence of socioeconomic, neurodevelopmental and neurobiological risk factors.

Neuroticism in temporal lobe epilepsy is associated with altered limbic-frontal lobe resting-state functional connectivity.

Neuroticism, a core personality trait characterized by a tendency towards experiencing negative affect, has been reported to be higher in people with temporal lobe epilepsy (TLE) compared with healthy individuals. Neuroticism is a known predictor of depression and anxiety, which also occur more frequently in people with TLE. The purpose of this study was to identify abnormalities in whole-brain resting-state functional connectivity in relation to neuroticism in people with TLE and to determine the degree of unique versus shared patterns of abnormal connectivity in relation to elevated symptoms of depression and anxiety. Ninety-three individuals with TLE (55 females) and 40 healthy controls (18 females) from the Epilepsy Connectome Project (ECP) completed measures of neuroticism, depression, and anxiety, which were all significantly higher in people with TLE compared with controls. Resting-state functional connectivity was compared between controls and groups with TLE with high and low neuroticism using analysis of variance (ANOVA) and t-test. In secondary analyses, the same analytics were performed using measures of depression and anxiety and the unique variance in resting-state connectivity associated with neuroticism independent of symptoms of depression and anxiety identified. Increased neuroticism was significantly associated with hyposynchrony between the right hippocampus and Brodmann area (BA) 9 (region of prefrontal cortex (PFC)) (p < 0.005), representing a unique relationship independent of symptoms of depression and anxiety. Hyposynchrony of connection between the right hippocampus and BA47 (anterior frontal operculum) was associated with high neuroticism and with higher depression and anxiety scores (p < 0.05), making it a shared abnormal connection for the three measures. In conclusion, increased neuroticism exhibits both unique and shared patterns of abnormal functional connectivity with depression and anxiety symptoms between regions of the mesial temporal and frontal lobe.