IntroductionDespite verifying proton magnetic resonance spectroscopy (1H-MRS) for focal localization in magnetic resonance imaging (MRI)-negative temporal lobe epilepsy (TLE), it is necessary to illustrate metabolic changes and screen for effective biomarkers for monitoring therapeutic effect. We used 1H-MRS to investigate the role of metabolic levels in MRI-negative TLE.Materials and methodsThirty-seven patients (n = 37, 14 women) and 20 healthy controls (n = 20, 11 women) were investigated by 1H-MRS. We compared the metabolite level changes in the epileptic and contralateral sides on the mesial temporal and dorsolateral prefrontal cortices and analyzed their association with clinical symptoms.Resultsγ-Aminobutyric acid (GABA) levels were significantly lower on the epileptic side (2.292 ± 0.890) than in the contralateral side (2.662 ± 0.742, p = 0.029*) in patients on the mesial temporal lobe. N-acetylaspartate (NAA) levels were significantly lower on the epileptic side (7.284 ± 1.314) than on the contralateral side (7.655 ± 1.549, p = 0.034*). NAA + N-acetylaspartylglutamate levels were significantly lower on the epileptic side (7.668 ± 1.406) than on the contralateral side (8.086 ± 1.675, p = 0.032*). Glutamate levels were significantly lower on the epileptic side (7.773 ± 1.428) than on the contralateral side (8.245 ± 1.616, p = 0.040*). Moreover, a significant negative correlation was found between GABA levels in the epileptic mesial temporal lobe and tonic–clonic seizure frequency (r = −0.338, p = 0.046*).Conclusionγ-Aminobutyric acid (GABA) is a potential biomarker for lateralization and monitoring seizure frequency in MRI-negative TLE.
BACKGROUND: 125I BT is an effective radiotherapy for prostate cancer. However, comparison data of GI and GU toxicities between BT, BT + EBRT, and EBRT-alone patient groups is limited. OBJECTIVE: To define the GI and GU toxicities in prostate cancer to prevent adverse events after treatment. METHODS: We searched published studies in PubMed, Cochrane, and Embase databases up to December 31, 2022. The endpoints were the RRs of GI and GU toxicities. Pooled data were assessed using a random-effects model. RESULTS: Fifteen eligible studies were included into this analysis. LDR-BT had significantly lower RRs than LDR-BT + EBRT for acute GI (2.13; 95% CI, 1.22–3.69; P= 0.007) and late GI toxicities (3.96; 95% CI, 1.23–12.70; P= 0.02). Moreover, EBRT had significantly higher RRs than LDR-BT for acute GU (2.32; 95% CI, 1.29–4.15; P= 0.005) and late GU toxicities (2.38; 95% CI, 1.27–4.44; P= 0.007). HDR-BT had significantly higher RRs for acute GU toxicities than LDR-BT alone (0.30; 95% CI, 0.23–0.40; P< 0.00001). CONCLUSION: The results implied that BT with and without EBRT can result in both GI and GU toxicities in patients with prostate cancer, with LDR-BT leading to a poorer urinary function than EBRT.
Objective: This study used CiteSpace to look at the current state of research on epilepsy and synaptic plasticity and to point out the hotspots and frontiers. Method: We searched Web of Science (WoS) for studies related to epilepsy and synaptic plasticity. CiteSpace was used to construct network maps of cooperation across countries, institutions, and authors to identify frontiers and hotspots in epilepsy and synaptic plasticity research. Results: A total of 1700 studies on epilepsy and synaptic plasticity were retrieved from the WoS. The United States and Baylor College of Medicine were the most prolific nation and institution in this field with 680 and 28 publications, respectively. The most prolific author (11 articles) was Xuefeng Wang. The Journal of Neuroscience published the most articles (71, 6.71%) and had the most co-citations (1557, 4.57%). In this paper, the interaction and mechanism between epilepsy and synaptic plasticity, as well as future research hotspots, are highlighted. Conclusion: CiteSpace can reveal the institutions, leaders, journals, cited papers, and research hotspots involved in epilepsy and synaptic plasticity. To the best of our knowledge, this is the first study that visualizes the relationship between epilepsy and synaptic plasticity and provides references for future research directions.
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