Publications by authors named "S M Arif Zaidi"

Background: Recent studies suggest that the use of adjunctive intraarterial alteplase after mechanical thrombectomy (MT) may improve outcomes; however, there are limited data on the use of intraarterial tenecteplase, a newer-generation lytic, in this acute ischemic stroke patient population. Here, we evaluate the use of intraarterial tenecteplase in the ALLY pilot study (Adjunctive Intraarterial Tenecteplase Following Mechanical Thrombectomy).

Methods: ALLY was a prospective, single-center, nonrandomized pilot study assessing the feasibility and safety of intraarterial tenecteplase up to 4.

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The COVID-19 infection caused by SARS-CoV-2 in late 2019 posed unprecedented global health challenges of massive proportions. The persistent effects of COVID-19 have become a subject of significant concern amongst the medical and scientific community. This article aims to explore the probability of a link between the COVID-19 infection and the risk of lung cancer development.

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The mu-opioid receptor (MOR) is a major target for the treatment of pain. However, opioids are prone to side effects which limit their effectiveness as analgesics and can lead to opioid use disorders or, even, lethal overdose. The systemic administration of opioid agonists makes it both very difficult to decipher their underlying circuit mechanisms of action and to limit drug action to specific receptor subpopulations to isolate therapeutic effects from adverse side effects.

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Article Synopsis
  • The study investigates lymph node stromal cell cultures (LNSCs) from oral squamous cell carcinoma (OSCC) patients to understand tumor interactions for better treatment options.
  • Primary cultures were developed from both metastatic and non-metastatic patient nodes, confirming their purity and revealing a variety of cell types.
  • Transcriptomic and cytokine profiling showed different molecular alterations based on node status, with key insights into immune response and potential pathways for metastasis, highlighting the relevance of these models for future cancer research.
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