Five simple, noninvasive cardiovascular reflex tests have been used to assess autonomic function in one center over the past 10 yr. Seven hundred seventy-four diabetic subjects were tested for diagnostic and research purposes. In 543 subjects completing all five tests, abnormalities of heart rate tests occurred in 40%, while abnormal blood pressure tests occurred in less than 20%. Their results were grouped as normal (39%), early (15%), definite (18%), and severe (22%) involvement. Six percent had an atypical pattern of results. Two hundred thirty-seven diabetic subjects had the tests repeated greater than or equal to 3 mo apart: 26% worsened, 71% were unchanged, and only 3% improved. The worsening followed a sequential pattern with first heart rate and later additional blood pressure abnormalities. Comparison between a single test (heart rate response to deep breathing) and the full battery in 360 subjects showed that one test alone does not distinguish the degree or severity of autonomic damage. These tests provide a useful framework to assess autonomic neuropathy simply, quickly, and noninvasively.
The U1, U2, U4/U6, and U5 small nuclear ribonucleoprotein particles (snRNPs) involved in pre-mRNA splicing contain seven Sm proteins (B/B', D1, D2, D3, E, F, and G) in common, which assemble around the Sm site present in four of the major spliceosomal small nuclear RNAs (snRNAs). These proteins share a common sequence motif in two segments, Sm1 and Sm2, separated by a short variable linker. Crystal structures of two Sm protein complexes, D3B and D1D2, show that these proteins have a common fold containing an N-terminal helix followed by a strongly bent five-stranded antiparallel beta sheet, and the D1D2 and D3B dimers superpose closely in their core regions, including the dimer interfaces. The crystal structures suggest that the seven Sm proteins could form a closed ring and the snRNAs may be bound in the positively charged central hole.
Dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging can be used to predict median time to progression in patients with gliomas, independent of pathologic findings. Patients who have HGGs and LGGs with a high relative CBV (>1.75) have a significantly more rapid time to progression than do patients who have gliomas with a low relative CBV.
Diffuse gliomas comprise the most common malignant brain tumors in adults and include glioblastomas (GBM) and World Health Organization (WHO) grade II and grade III tumors, sometimes referred to as lower-grade gliomas (LGGs). Genetic tumor profiling is used for disease classification and to guide therapy
1
,
2
, but involves brain surgery for tissue collection and repeated tumor biopsies may be necessary for accurate genotyping over the course of the disease
3
–
10
. While detection of circulating tumor DNA (ctDNA) in blood remains challenging for patients with primary brain tumors
11
,
12
, sequencing of cerebrospinal fluid (CSF) ctDNA may provide an alternative to genotype glioma at lower morbidity and cost
13
,
14
. We therefore evaluated the representation of the glioma genome in CSF from 85 glioma patients who underwent a lumbar puncture for evaluation of neurological signs or symptoms. Tumor-derived DNA was detected in CSF from 42/85 (49.4 %) patients and was associated with disease burden and adverse outcome. The genomic landscape of glioma in CSF contained a broad spectrum of genetic alterations and closely resembled the genome in tumor biopsies. Alterations that occur early during tumorigenesis, such as co-deletion of chromosome arms 1p and 19q (1p/19q codeletion) and mutations in the metabolic genes
isocitrate dehydrogenase 1 (IDH1)
or
IDH2
1
,
2
, were shared in all matched ctDNA-positive CSF/tumor pairs, whereas we observed considerable evolution in growth factor receptor signaling pathways. The ability to monitor evolution of the glioma genome through a minimally invasive technique could advance the clinical development and use of genotype-directed therapies for glioma, one of the most aggressive human cancers.
These results suggest that there are substantial variations in glycaemic control among people with Type 1 diabetes between the data sources and that there is room for improvement in all populations, especially in young adults.
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