Results 161 to 170 of about 37,267 (288)

Primary (AL) Amyloidosis

Renal Failure, 1993
openaire   +3 more sources

Human and Mouse Alzheimer's Seeds Differentially Affect Amyloid Deposition and Microglia‐Dependent Plaque Response in Aged Mice

Aging Cell, EarlyView.
This study shows that human and mouse brains contain a different pool of strains that differentially affect the formation of Aβ and tau aggregates. Moreover, the murine seeds trigger an unresponsiveness microglial state, which causes the loss of plaque microglial coverage and affects the formation of amyloid plaques, leading to more severe neuritic ...
Juana Andreo‐Lopez, Cristina Nuñez‐Diaz, Kelly Do Huynh, Marie Minh Thu Nguyen, Celia Da Cunha, Francisco J. Cantero‐Molina, Cynthia Campos‐Moreno, Stefania Zimbone, Francesco Bellia, Maria Laura Giuffrida, Laura Trujillo‐Estrada, Juan Antonio Garcia‐Leon, Miriam Bettinetti‐Luque, Nazaret Gamez, Catalina Valdes, Rodrigo Morales, Stefania Forner, Alessandra C. Martini, Antonia Gutierrez, Frank M. LaFerla, David Baglietto‐Vargas   +20 more
wiley   +1 more source

Systematic Multi‐Trait Study of Genetic Correlation and Causality Relationships Between General Medical Conditions and Mental Disorders

Acta Psychiatrica Scandinavica, EarlyView.
ABSTRACT Introduction Increasing evidence has highlighted bidirectional associations between mental disorders and general medical conditions, with underlying causes ranging from lifestyle habits and side effects from medications to genetic contributions. Novel methods now provide a way to estimate the shared genetic underpinnings and the possibility of
Ron Nudel, Maria Da Re, Michael E. Benros   +2 more
wiley   +1 more source

Light Chain (AL) Amyloidosis Masquerading as Scleroderma: A Diagnostic Challenge. [PDF]

J Hematol
Dhamija K, Jiwani RA, Lakshaman A, Sadashiv S, Mewawalla P.   +4 more
europepmc   +1 more source

The incidence of serious complications after selective laser trabeculoplasty

Acta Ophthalmologica, EarlyView.
Abstract Purpose To evaluate the incidence of serious complications after selective laser trabeculoplasty (SLT). Methods All patients who underwent SLT at the Department of Ophthalmology, Helsinki University Hospital, were eligible for the study from 1 January 2012 to 31 December 2018.
Eeva S. Ojanen, Joni A. Turunen, Mika Harju   +2 more
wiley   +1 more source

Navigating Diagnostic Ambiguities in Cardiac Amyloidosis: Insights from a Case with Delayed Diagnosis of AL Amyloidosis. [PDF]

Am J Case Rep
Al Hazzouri A, Daou RM, Attieh P, Ibrahim Z, Ghadieh HE, Harbieh B.   +5 more
europepmc   +1 more source

Diagnostics of Autoimmune Hepatitis Enabled by Non‐Invasive Clinical Proteomics

Alimentary Pharmacology &Therapeutics, EarlyView.
Mass‐spectrometry‐based proteomic analyses of paired liver‐plasma samples from patients with AIH enabled discovery of numerous proteins showing high diagnostic accuracy. Proteomics may constitute a novel non‐invasive diagnostic tool for AIH if validated in larger, age‐ and sex‐matched cohorts.
Anne‐Sofie Houlberg Jensen, Henriette Ytting, Annelaura Bach Nielsen, Mikkel Parsberg Werge, Elias Badal Rashu, Liv Eline Hetland, Mira Thing, Puria Nabilou, Johan Burisch, Anders Ellekær Junker, Lise Hobolth, Christian Mortensen, Flemming Tofteng, Flemming Bendtsen, Søren Møller, Mogens Vyberg, Reza Rafiolsadat Serizawa, Marie Winther‐Sørensen, Jesper Sloth Kellemann, Lise Lotte Gluud, Nicolai Jacob Wewer Albrechtsen   +20 more
wiley   +1 more source

From the Bone Marrow to the Heart: Cardiac Recovery in AL Amyloidosis. [PDF]

JACC Asia
Smiley DA, Einstein AJ.
europepmc   +1 more source

Rotational Mechanics of the Left Ventricle in AL Amyloidosis [PDF]

, 2010
Maria Cristina Porciani, Francesco Cappelli, Federico Perfetto, M Ciaccheri, Gabriele Castelli, Ilaria Ricceri, Marco Chiostri, Franco Bergesio, Luigi Padeletti   +8 more
openalex   +1 more source

Can we identify individuals at risk to develop multiple myeloma? A machine learning‐based predictive model

British Journal of Haematology, EarlyView.
Individuals who may develop multiple myeloma within 5 years. Stage I (left) identifies patient and control groups and variables that differ between them. Stage II (middle) develops a complex SGBOOST model to predict future MM patients. Stage III (right) develops a simplified model.
Moshe Mittelman, Ariel Israel, Howard S. Oster, Michael Leshchinsky, Yatir Ben‐Shlomo, Eldad Kepten, Osnat Jarchowsky Dolberg, Ran Balicer, Galit Shaham   +8 more
wiley   +1 more source