Results 171 to 180 of about 87,373 (338)

Biomarkers of Cellular Senescence in Type 2 Diabetes Mellitus

open access: yesAging Cell, EarlyView.
In cohorts of lean controls, obese participants without Type 2 Diabetes Mellitus (T2DM) and obese T2DM participants, we find that T‐cell expression of senescence biomarkers is altered only in the T2DM participants and not with obesity alone. Moreover, high T‐cell p16 expression in the T2DM participants is associated with impaired bone cortical indices.
Caroline Hoong   +9 more
wiley   +1 more source

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

open access: yesBritish 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   +8 more
wiley   +1 more source

Separation of human myeloma cells from bone marrow aspirates in multiple myeloma and their proliferation and M-protein secretion in vitro [PDF]

open access: bronze, 1988
Koji Iwato   +5 more
openalex   +1 more source

The progression of multiple myeloma is regulated by LILRB1 via the GATA2–SAGE1 pathway

open access: yesBritish Journal of Haematology, EarlyView.
Summary Multiple myeloma (MM) is a haematological malignancy characterized by the clonal expansion of plasma cells within the bone marrow, thus resulting in the overproduction of monoclonal immunoglobulins. Despite the availability of various immunotherapeutic strategies, patient survival rates remain disappointingly low, thus underscoring the need for
Chiqi Chen   +8 more
wiley   +1 more source

MAFB: a key regulator of myeloid commitment involved in hematological diseases. [PDF]

open access: yesCell Death Discov
Ventura AB   +7 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy