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DNA labelling provides an exciting tool for elucidating the in vivo dynamics of lymphocytes. However, the kinetics of label incorporation and loss are complex and results can depend on the method of interpretation. Here we describe two approaches to interpreting labelling data. Both seek to explain the common observation that the estimated death rate of lymphocytes is higher than their estimated proliferation rate. In the first approach, an additional source of lymphocytes is postulated. In the second, it is maintained that lymphocyte heterogeneity is sufficient to account for the observation. We explain why we favour the second approach, arguing that the addition of a large source of lymphocytes is unnecessary and difficult to reconcile with what is currently known about lymphocyte physiology. We discuss how the choice of model can affect data interpretation.
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http://dx.doi.org/10.1016/s1471-4906(02)02337-2 | DOI Listing |
J Imaging Inform Med
September 2025
Department of Biomedical Engineering, Gachon University, Seongnam-Si 13120, Gyeonggi-Do, Republic of Korea.
To develop and validate a deep-learning-based algorithm for automatic identification of anatomical landmarks and calculating femoral and tibial version angles (FTT angles) on lower-extremity CT scans. In this IRB-approved, retrospective study, lower-extremity CT scans from 270 adult patients (median age, 69 years; female to male ratio, 235:35) were analyzed. CT data were preprocessed using contrast-limited adaptive histogram equalization and RGB superposition to enhance tissue boundary distinction.
View Article and Find Full Text PDFAm J Geriatr Psychiatry
August 2025
Mood Disorder and Psychopharmacology Unit (RS, JKT, CED, RSM), University Health Network, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronnto, Toronto, ON, Canada; Department of Pharmacology and Toxicology, University of Toronto, ON, Canada. Electronic address: roger.mcintyre@
Ketamine has emerged as a promising treatment for major depression, though its efficacy and safety remain incompletely characterized in older adults. This systematic review synthesizes current evidence for ketamine in geriatric depression. A search of PubMed, EMBASE, and PsycINFO was conducted.
View Article and Find Full Text PDFJ Ethnopharmacol
September 2025
Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China. Electronic address:
Ethnopharmacological Relevance: Biejia-Ruangan (BRG) has been approved in China as an antifibrotic traditional Chinese medicine for patients with chronic liver diseases; however, data on the reversal of hepatitis B-related cirrhosis by BRG are still limited.
Aim Of The Study: To investigate the reversal effect of BRG in patients with hepatitis B-related cirrhosis.
Materials And Methods: Hepatitis B-related cirrhotic patients who received either entecavir (ETV) monotherapy or combination therapy with ETV and BRG for 7 years, were analysed.
J Affect Disord
September 2025
Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia; Ramsay Clinic Northside, St Leonards, Sydney, Australia; Black Dog Institute, Sydney, Australia; The George Institute for Global Health, Sydney, Australia.
Ketamine is a highly effective treatment for difficult-to-treat or treatment-resistant depression (TRD). The commercially developed intranasal spray containing S-ketamine has demonstrated short and long-term efficacy and safety in phase 3 clinical trials leading to regulatory approval for TRD in many countries. Conversely, generic racemic ketamine is prescribed 'off-label'.
View Article and Find Full Text PDFCell Rep Methods
September 2025
Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, Zurich, Switzerland. Electronic address:
In cancer research, multiplexed imaging allows detailed characterization of the tumor microenvironment (TME) and its link to patient prognosis. The integrated immunoprofiling of large adaptive cancer patient cohorts (IMMUcan) consortium collects multi-modal imaging data from thousands of patients with cancer to perform broad molecular and cellular spatial profiling. Here, we describe and compare two workflows for multiplexed immunofluorescence (mIF) and imaging mass cytometry (IMC) developed within IMMUcan to enable the generation of standardized data for cancer tissue analysis.
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