Monoclonal antibodies approved by the FDA, lecanemab, donanemab, and aducanumab, are failing to meet the expected efficacy to treat early Alzheimer's disease, and aducanumab has been recalled. : Recently, it was reported that the clinical trials of these antibodies may have violated patient's rights and subjected them to high, likely lethal risk. The challenge with developing antibodies to treat neurological disorders is their poor blood-brain barrier (BBB) penetration if the antibody must enter the brain, resulting in almost negligible brain bioavailability, requiring high dosing that can be toxic. : The reported efficacy of these drugs should also be reviewed, considering the placebo effects, since all antibodies have shown severe side effects that are not prevented by the placebo responses. In this critical and urgent advice to the FDA, I am suggesting a guideline amendment to all clinical trials requiring proof of sufficient brain bioavailability at the site of action, where it is known. : For antibodies to cross the blood-brain barrier, there are proven options such as conjugating with transferrin protein, making clinical trials in its absence more questionable.
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http://dx.doi.org/10.3390/biomedicines12122918 | DOI Listing |
Trials
January 2025
Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea.
Background: Prophylactic parenteral administration of antibiotics is strongly recommended to prevent surgical site infection (SSI). Cefoxitin is mainly administered intravenously in colorectal surgery. The current standard method for administering prophylactic antibiotics in adults is to administer a fixed dose quickly before skin incision.
View Article and Find Full Text PDFJ Biomed Sci
January 2025
Tumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, Melbourne, VIC, 3084, Australia.
Research into cancer treatment has been mainly focused on developing therapies to directly target cancer cells. Over the past decade, extensive studies have revealed critical roles of the tumour microenvironment (TME) in cancer initiation, progression, and drug resistance. Notably, cancer-associated fibroblasts (CAFs) have emerged as one of the primary contributors in shaping TME, creating a favourable environment for cancer development.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Clinic Nutrition, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Background: Since diet is a known modulator of inflammation, the Dietary Inflammatory Index (DII), which quantifies the inflammatory potential of an individual's diet, becomes a significant parameter to consider. Chronic diarrhea is commonly linked to inflammatory processes within the gut. Thus, this study aimed to explore the potential link between DII and chronic diarrhea.
View Article and Find Full Text PDFBMC Neurol
January 2025
General Physician, Arab Care Hospital, Ramallah, 00970, Palestine.
Background: Trigeminal neuralgia (TN) is a prevalent and debilitating craniofacial pain disorder characterized by severe, unilateral, shock-like pain. Standard treatments include anti-epileptic drugs and surgical interventions, but many patients experience limited relief or adverse effects. Non-invasive therapies, such as transcutaneous electrical nerve stimulation (TENS), have emerged as alternative options.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Centro de Salud Retiro, Hospital Universitario Gregorio Marañon, C/Lope de Rueda, 43, 28009, Madrid, Spain.
Background: Natural language processing (NLP) enables the extraction of information embedded within unstructured texts, such as clinical case reports and trial eligibility criteria. By identifying relevant medical concepts, NLP facilitates the generation of structured and actionable data, supporting complex tasks like cohort identification and the analysis of clinical records. To accomplish those tasks, we introduce a deep learning-based and lexicon-based named entity recognition (NER) tool for texts in Spanish.
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