Advanced drug delivery and therapeutic strategies for tuberculosis treatment

Nair, Ayushi; Greeny, Alosh; Nandan, Amritasree; Sah, Ranjay Kumar; Jose, Anju; Dyawanapelly, Sathish; Junnuthula, Vijayabhaskarreddy; K. V., Athira; Sadanandan, Prashant

doi:10.1186/s12951-023-02156-y

Cited by 9 publications

(8 citation statements)

References 317 publications

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“…However, GNP is a potentially highly toxic drug combination with significant side effects, and only individuals with a positive functional status eligible for this regimen. [124], [125], [126], [127], [128], [129] Irinotecan is a small molecule medication employed in treating various cancers, including pancreatic cancer. As a topoisomerase I inhibitor, Irinotecan functions by obstructing the activity of the topoisomerase I enzyme crucial for cell division and growth.…”

Section: Chemotherapymentioning

confidence: 99%

“…Recent research indicates that Oxonic Acid's effectiveness can be enhanced when used in conjunction with other therapies. [126] Tegafur is a chemotherapy medication employed for the management of different types of cancers, encompassing pancreatic cancer. As a small molecule drug and a member of the pyrimidine analogues class, Tegafur acts as a prodrug for 5-fluorouracil (5-FU), an antineoplastic agent³.…”

Section: Chemotherapymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Recent research indicates that Oxonic Acid’s effectiveness can be enhanced when used in conjunction with other therapies. [126]…”

Section: Introductionmentioning

confidence: 99%

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Graph Attention Networks for Drug Combination Discovery: Targeting Pancreatic Cancer Genes with RAIN Protocol

Parichehreh,

Kiaei,

Boush

et al. 2024

Preprint

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BackgroundMalignant neoplasm of the pancreas (MNP), a highly lethal illness with bleak outlook and few therapeutic avenues, entails numerous cellular transformations. These include irregular proliferation of ductal cells, activation of stellate cells, initiation of epithelial-to-mesenchymal transition, and changes in cell shape, movement, and attachment. Discovering potent drug cocktails capable of addressing the genetic and protein factors underlying pancreatic cancer’s development is formidable due to the disease’s intricate and varied nature.MethodIn this study, we introduce a fresh model utilizing Graph Attention Networks (GATs) to pinpoint potential drug pairings with synergistic effects for MNP, following the RAIN protocol. This protocol comprises three primary stages: Initially, employing Graph Neural Network (GNN) to suggest drug combinations for disease management by acquiring embedding vectors of drugs and proteins from a diverse knowledge graph encompassing various biomedical data types, such as drug-protein interactions, gene expression, and drug-target interactions. Subsequently, leveraging natural language processing to gather pertinent articles from clinical trials incorporating the previously recommended drugs. Finally, conducting network meta-analysis to assess the relative effectiveness of these drug combinations.ResultWe implemented our approach on a network dataset featuring drugs and genes as nodes, connected by edges representing their respective p-values. Our GAT model identified Gemcitabine, Pancrelipase Amylase, and Octreotide as the optimal drug combination for targeting the human genes/proteins associated with this cancer. Subsequent scrutiny of clinical trials and literature confirmed the validity of our findings. Additionally, network meta-analysis confirmed the efficacy of these medications concerning the pertinent genes.ConclusionBy employing GAT within the RAIN protocol, our approach represents a novel and efficient method for recommending prominent drug combinations to target proteins/genes associated with pancreatic cancer. This technique has the potential to aid healthcare professionals and researchers in identifying optimal treatments for patients while also unveiling underlying disease mechanisms.HighlightsGraph Attention Networks (GATs) used to recommend drug combinations for pancreatic cancerRAIN protocol applied to extract relevant information from clinical trials and literatureGemcitabine, Pancrelipase Amylase, and Octreotide identified as optimal drug combinationNetwork meta-analysis confirmed the effectiveness of the drug combination on gene targetsNovel and efficient method for drug discovery and disease mechanism elucidationAbstract Figure

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Section: Chemotherapymentioning

confidence: 99%

Section: Chemotherapymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Recent research indicates that Oxonic Acid’s effectiveness can be enhanced when used in conjunction with other therapies. [126]…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Graph Attention Networks for Drug Combination Discovery: Targeting Pancreatic Cancer Genes with RAIN Protocol

Parichehreh,

Kiaei,

Boush

et al. 2024

Preprint

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“…These imaging modalities enable surgeons to visualize patients' anatomy in three dimensions, facilitating precise preoperative planning and intraoperative navigation. Furthermore, telepresence surgery expands surgeons' capabilities beyond traditional limitations, enhancing surgical outcomes by providing an extended reach and enhanced visualization [44].…”

Section: Advances In Surgical Techniques and Technologymentioning

confidence: 99%

Navigating Perioperative Challenges in Pott’s Spine: A Comprehensive Review

Banik,

Madavi

2024

Cureus

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Pott's spine, or tuberculous spondylitis, remains a significant public health concern in regions where tuberculosis is endemic. The management of Pott's spine poses unique perioperative challenges due to the complexity of the disease process, including vertebral destruction, spinal instability, and neurological compromise. This comprehensive review explores the intricacies of navigating perioperative challenges in Pott's spine surgery. Beginning with an overview of Pott's spine, including its etiology, clinical presentation, and classification, the review delves into the significance of perioperative challenges in this condition. Emphasis is placed on the need for multidisciplinary collaboration, meticulous preoperative assessment, and tailored surgical planning to optimize outcomes while minimizing the risk of complications. Critical considerations in the preoperative, intraoperative, and postoperative phases of care are discussed in detail, including patient assessment, imaging modalities, surgical techniques, anesthesia considerations, and postoperative rehabilitation. Special considerations such as pediatric Pott's spine and multidrug-resistant tuberculosis are also addressed. The review concludes by summarizing key points, highlighting implications for clinical practice, and providing recommendations for future research. By synthesizing current evidence and clinical expertise, this review offers valuable insights into the optimal management of perioperative challenges in Pott's spine, ultimately aiming to improve patient outcomes and reduce the burden of this debilitating condition.

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