Inhibition of IL-1β improves fatigue in type 2 diabetes

C Cavelti-Weder, R Furrer, C Keller… - Diabetes …, 2011 - ncbi.nlm.nih.gov
C Cavelti-Weder, R Furrer, C Keller, A Babians-Brunner, AM Solinger, H Gast, A Fontana
Diabetes care, 2011ncbi.nlm.nih.gov
Several diseases including microbial infection, rheumatoid arthritis, multiple sclerosis, and
cancer have been linked to fatigue. They all have in common an upregulation of cytokines,
including interleukin (IL)-1β and tumor necrosis factor-α (TNF-α), which may interfere with
clock gene functions (1). Increasing evidence associates type 2 diabetes with inflammatory
processes characterized by elevated production of proinflammatory cytokines and infiltration
of immune cells. Reducing IL-1 activity in prediabetes and diabetes improves insulin …
Several diseases including microbial infection, rheumatoid arthritis, multiple sclerosis, and cancer have been linked to fatigue. They all have in common an upregulation of cytokines, including interleukin (IL)-1β and tumor necrosis factor-α (TNF-α), which may interfere with clock gene functions (1). Increasing evidence associates type 2 diabetes with inflammatory processes characterized by elevated production of proinflammatory cytokines and infiltration of immune cells. Reducing IL-1 activity in prediabetes and diabetes improves insulin secretion, glycemic control, and markers of systemic inflammation (2–4). Given this background, we hypothesized that fatigue levels may be increased in type 2 diabetes and may be improved by IL-1β antagonism.
Within a placebo-controlled, doubleblind study of IL-1β antagonism with a monoclonal anti–IL-1β antibody, XOMA052, involving 30 patients with type 2 diabetes (4), we evaluated fatigue using the Fatigue Scale for Motor and Cognitive functions (5). Besides differentiating between cognitive and motor fatigue, this scale offers a subdivision into different grades of fatigue severity. At baseline, according to predefined cutoff values, 47% of the patients had no, 20% had mild, 17% had moderate, and 16% had severe fatigue, meaning that more than half of the patients suffered from considerable fatigue symptoms compared with a healthy population (5). A significant correlation between fatigue and duration of diabetes was evident (R 5 0.532, P 5 0.002). This correlation was stronger for cognitive fatigue (R 5 0.541, P 5 0.002) compared with motor fatigue (R 5 0.486, P 5 0.007). No correlation between fatigue and age, HbA1c, body weight, body temperature, and C-reactive protein was found. One month after
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