Background: The exploitation and utilization of vast varieties of herbal extracts may serve as alternative measures to deter aggregation of deoxygenated sickle cell hemoglobin (deoxyHbS) molecules.
Objective: The present in vitro study ascertained the capacity of three medicinal plants, namely, Anacardium occidentale, Psidium guajava, and Terminalia catappa, to alter polymerization of HbS.
Materials And Methods: Spectrophotometric method was used to monitor the level of polymerization of hemolysate HbS molecules treated with sodium metabisulfite (Na(2) S(2) O(5)) at a regular interval of 30 s for a period of 180 s in the presence of separate aqueous extracts of A. occidentale, P. guajava, and T. catappa. At time intervals of 30 s, the level of polymerization was expressed as percentage of absorbance relative to the control sample at the 180th s.
Results: Although extracts of the three medicinal plants caused significant (P < 0.05) reduction in polymerization of deoxyHbS molecules, the corresponding capacity in this regard diminished with increase in incubation time. Aqueous extract of P. guajava exhibited the highest capacity to reduced polymerization of deoxyHbS molecules. Whereas at t > 60 s, extract concentration of 400 mg% of A. occidentale activated polymerization of deoxyHbS molecules by 6.23±1.34, 14.53±1.67, 21.15±1.89, and 24.42±1.09%, 800 mg% of T. catappa at t > 30 s gave values of 2.50±1.93, 5.09±1.96, 10.00±0.99, 15.38±1.33, and 17.31±0.97%.
Conclusion: The capacity of the three medicinal plants to interfere with polymerization of deoxyHbS molecules depended on the duration of incubation and concentration of the extracts.
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http://dx.doi.org/10.4103/0973-1296.80670 | DOI Listing |
J Hand Ther
January 2025
Venture Rehabilitation Sciences Group, Saskatoon, SK, Canada; School of Rehabilitation Science, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address:
Background: Stenosing tenosynovitis, or trigger finger, is a common cause of hand disability. This study outlines a trigger finger management protocol that redirects referrals for surgical consultations to conservative management first.
Purpose: The primary outcome variable was the protocol endpoint based on the resolution of trigger finger symptoms (i.
Trends Microbiol
January 2025
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Princeton School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
Serological studies uniquely strengthen infectious disease surveillance, expanding prevalence estimates to encompass asymptomatic infections, and revealing the otherwise inapparent landscape of immunity, including who is and is not susceptible to infection. They are thus a powerful complement to often incomplete epidemiological and public health measures (administrative measures of vaccination coverage, incidence estimates, etc.).
View Article and Find Full Text PDFAdv Clin Chem
January 2025
Center for Orphan Drug Research, Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, United States. Electronic address:
Gaucher disease (GD) is a rare lysosomal disorder characterized by the accumulation of glycosphingolipids in macrophages resulting from glucocerebrosidase (GCase) deficiency. The accumulation of toxic substrates, which causes the hallmark symptoms of GD, is dependent on the extent of enzyme dysfunction. Accordingly, three distinct subtypes have been recognized, with type 1 GD (GD1) as the common and milder form, while types 2 (GD2) and 3 (GD3) are categorized as neuronopathic and severe.
View Article and Find Full Text PDFObjective: To update and establish content validity for the Checklist of NICU Caregiver Behaviors.
Design: Structured literature review and Delphi analysis.
Setting/local Problem: Neonates born prematurely or who are sick in the NICU are frequently exposed to harmful stimuli that can affect brain development and result in adverse neurodevelopmental outcomes.
J Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
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