In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Context: Patient selection for endovascular revascularization treatment (ERT) in acute ischemic stroke depends on the expected benefit-risk ratio. As rapid revascularization is a major determinant of good functional outcome, we aimed to identify its predictors after ERT.', 'Consecutive stroke patients from a single stroke center with distal internal carotid artery-, proximal middle cerebral artery- or T-occlusions treated with ERT were retrospectively selected. We assessed admission noncontrast computed tomography and computed tomography angiography for thrombus location, thrombus load (clot burden score), and collateral status. Clinical data were extracted from medical charts. Univariate and multivariate regression analyses were performed to identify predictors of revascularization (thrombolysis in cerebral infarction ≥2b) after ERT.', 'A total of 63 patients were identified (median age, 73 years; interquartile range: 62-77; 40 females). Sixteen patients (25.4%) underwent intravenous thrombolysis (ivT) before ERT. Twenty-two patients (34.9%) had additional intra-arterial application of recombinant tissue plasminogen activator. The overall recanalization rate was 66.7%, and 9.5% had symptomatic intracranial bleeding. In-hospital mortality was 15%, and 30% reached good functional outcome at discharge. In the univariate analysis, preceding ivT and the number of passes for thrombectomy (dichotomized ≤2 versus >2) were associated with recanalization. There was a trend for number of thrombectomy passes (as continuous variable) and multimodal ERT. In the multivariate regression analysis, ivT prior to ERT and passes of thrombectomy were identified as independent predictors for recanalization.\Question: Does intravenous Thrombolysis and pass of Thrombectomy as Predictors for Endovascular Revascularization in Ischemic Stroke?
ivT and lower passes of thrombectomy are associated with recanalization after ERT for ischemic stroke with proximal vessel occlusions.

Context: HIV-1-infected and/or immune-activated microglia and macrophages are pivotal in the pathogenesis of HIV-1-associated neurocognitive disorders (HAND). Glutaminase, a metabolic enzyme that facilitates glutamate generation, is upregulated and may play a pathogenic role in HAND. Our previous studies have demonstrated that glutaminase is released to the extracellular fluid during HIV-1 infection and neuroinflammation. However, key molecular mechanisms that regulate glutaminase release remain unknown. Recent advances in understanding intercellular trafficking have identified microvesicles (MVs) as a novel means of shedding cellular contents. We posit that during HIV-1 infection and immune activation, microvesicles may mediate glutaminase release, generating excessive and neurotoxic levels of glutamate.', 'MVs isolated through differential centrifugation from cell-free supernatants of monocyte-derived macrophages (MDM) and BV2 microglia cell lines were first confirmed in electron microscopy and immunoblotting. As expected, we found elevated number of MVs, glutaminase immunoreactivities, as well as glutaminase enzyme activity in the supernatants of HIV-1 infected MDM and lipopolysaccharide (LPS)-activated microglia when compared with controls. The elevated glutaminase was blocked by GW4869, a neutral sphingomyelinase inhibitor known to inhibit MVs release, suggesting a critical role of MVs in mediating glutaminase release. More importantly, MVs from HIV-1-infected MDM and LPS-activated microglia induced significant neuronal injury in rat cortical neuron cultures. The MV neurotoxicity was blocked by a glutaminase inhibitor or GW4869, suggesting that the neurotoxic potential of HIV-1-infected MDM and LPS-activated microglia is dependent on the glutaminase-containing MVs.\Question: Do glutaminase-containing microvesicles from HIV-1-infected macrophages and immune-activated microglia induce neurotoxicity?
These findings support MVs as a potential pathway/mechanism of excessive glutamate generation and neurotoxicity in HAND and therefore MVs may serve as a novel therapeutic target.

Context: Recent studies have reported the association of gamma-glutamyltransferase (GGT) or ferritin with metabolic disorders. However, there has been no large population-based study assessing the interrelationship of these two biomarkers and their association with insulin resistance.', "A population-based cross-sectional study was carried out in the Chinese Liangshan Yi ethnic group. 756 eligible subjects, aged 20 - 74 years, were included. Demographic characteristics, medical history, and lifestyle data were collected through questionnaires. An oral glucose tolerance test was performed. Laboratory tests, including GGT and ferritin measurements, were conducted. Spearman's rank-order correlation and multiple linear regression were used to calculate the correlation of GGT with ferritin and their relationship to the insulin resistance index determined by the homeostasis model assessment (HOMA-IR).", 'A significant correlation between serum GGT and ferritin levels was found (r = 0.393, p < 0.05). GGT was independently correlated with ferritin after adjustment for age, gender, place of residence, education, income, leisure-time physical activity, drinking, smoking, body mass index, systolic pressure, diastolic pressure, hepatitis B surface antigen, anti-hepatitis C virus, aspartate aminotransferase, alanine aminotransferase, total cholesterol, low density lipoprotein-cholesterol, triglyceride, high density lipoprotein-cholesterol, fasting plasma glucose, 2-hour postprandial plasma glucose, uric acid, and urinary albumin to creatinine ratio (p < 0.05). Positive correlations were established between HOMA-IR and GGT (standard β = 0.252) or ferritin (standard β = 0.181) after adjustment for multiple confounders (p < 0.05).\Question: Are serum Gamma-Glutamyltransferase and Ferritin Related to Insulin Resistance : A Population-Based Study?

Insulin resistance is associated with elevated serum GGT and ferritin. A combined determination of GGT and ferritin might lead to better predictions in patients with insulin resistance.