Summary
Previously, extracellular vesicle production in Gram-positive bacteria
was dismissed due to the absence of an outer membrane, where Gram-negative
vesicles originate, and the difficulty in envisioning how such a process could
occur through the cell wall. However, recent work has shown that Gram-positive
bacteria produce extracellular vesicles and that the vesicles are biologically
active. In this study, we show that Bacillus subtilis produces
extracellular vesicles similar in size and morphology to other bacteria,
characterized vesicles using a variety of techniques, provide evidence that
these vesicles are actively produced by cells, show differences in vesicle
production between strains, and identified a mechanism for such differences
based on vesicle disruption. We found that in wild strains of B.
subtilis, surfactin disrupted vesicles while in laboratory strains
harboring a mutation in the gene sfp, vesicles accumulated in
the culture supernatant. Surfactin not only lysed B. subtilis
vesicles, but also vesicles from Bacillus anthracis, indicating
a mechanism that crossed species boundaries. To our knowledge, this is the first
time a gene and a mechanism has been identified in the active disruption of
extracellular vesicles and subsequent release of vesicular cargo in
Gram-positive bacteria. We also identify a new mechanism of action for
surfactin.
Objective
Obesity‐associated hypoandrogenemia is increasing in parallel to the obesity epidemic. The prevalence of hypoandrogenemia in nondiabetic young men with obesity is not known. This study aimed to evaluate the prevalence of hypoandrogenemia and associated risk factors in this population.
Methods
This cross‐sectional study included 266 nondiabetic men < 50 years of age with obesity who were referred from primary care. Total testosterone (high‐performance liquid chromatography mass spectrometry), sex hormone–binding globulin, free testosterone (FT), luteinizing hormone (LH), high‐sensitivity C‐reactive protein, and homeostatic model assessment of insulin resistance were determined. Body composition and erectile function were also assessed. Hypoandrogenemia was defined as FT level < 70 pg/mL.
Results
Subnormal FT concentrations were found in 25.6% of participants. Hypoandrogenemia prevalence was different along the BMI continuum, being > 75% in individuals with BMI ≥ 50 kg/m2. A multivariate regression analysis indicated that increasing BMI (P < 0.001), age (P = 0.049), and reduced LH levels (P = 0.003) were independent risk factors for hypoandrogenemia.
Conclusions
In a primary care–based cohort of nondiabetic young men with obesity, hypoandrogenemia was a very prevalent finding and was directly associated with adiposity. Obesity, age, and reduced LH levels were independent risk factors associated with hypoandrogenemia. Further prospective studies are needed to evaluate the long‐term consequences of hypoandrogenemia in this population.
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