This study investigated the behavioral and molecular changes in the telencephalon following needle stab-induced injury in the optic tectum of adult zebrafish. At 3 days post-injury (dpi), there was noticeable structural damage to brain tissue and reduced neuronal proliferation in the telencephalon that persisted until 30 dpi. Neurobehavioral deficits observed at 3 dpi included decreased exploratory and social activities and impaired learning and memory (L/M) functions; all of these resolved by 7 dpi. The injury led to a reduction in telencephalic phosphorylated cAMP response element-binding protein and O-GlcNAcylation, both of which were restored by 30 dpi. There was an increase in GFAP expression and nuclear translocation of NF-κB p65 at 3 dpi, which were not restored by 30 dpi. The injury caused decreased O-GlcNAc transferase and increased O-GlcNAcase levels at 3 dpi, normalizing by 30 dpi. Glucosamine (GlcN) treatment at 3 dpi significantly restored O-GlcNAcylation levels and L/M function, also reducing GFAP activation. Glucose treatment recovered L/M function by 7 dpi, but inhibition of the hexosamine biosynthetic pathway by 6-diazo-5-oxo-L-norleucine blocked this recovery. These findings suggest that the O-GlcNAc pathway is a potential therapeutic target for addressing L/M impairment following traumatic brain injury in zebrafish.

UNASSIGNED: This study pursued a meta-analysis to evaluate the predictive accuracy of machine learning (ML) models in determining disorders of consciousness (DOC) among patients with traumatic brain injury (TBI).
UNASSIGNED: A comprehensive literature search was conducted to identify ML applications in the establishment of a predictive model of DOC after TBI as of August 6, 2023. Two independent reviewers assessed publication eligibility based on predefined criteria. The predictive accuracy was measured using areas under the receiver operating characteristic curves (AUCs). Subsequently, a random-effects model was employed to estimate the overall effect size, and statistical heterogeneity was determined based on I2 statistic. Additionally, funnel plot asymmetry was employed to examine publication bias. Finally, subgroup analyses were performed based on age, ML type, and relevant clinical outcomes.
UNASSIGNED: Final analyses incorporated a total of 46 studies. Both the overall and subgroup analyses exhibited considerable statistical heterogeneity. Machine learning predictions for DOC in TBI yielded an overall pooled AUC of 0.83 (95% CI: 0.82-0.84). Subgroup analysis based on age revealed that the ML model in pediatric patients yielded an overall combined AUC of 0.88 (95% CI: 0.80-0.95); among the model subgroups, logistic regression was the most frequently employed, with an overall pooled AUC of 0.85 (95% CI: 0.83-0.87). In the clinical outcome subgroup analysis, the overall pooled AUC for distinguishing between consciousness recovery and consciousness disorders was 0.84 (95% CI: 0.82-0.85).
UNASSIGNED: The findings of this meta-analysis demonstrated outstanding accuracy of ML models in predicting DOC among patients with brain injuries, which presented substantial research value and potential of ML application in this domain.

OBJECTIVE: To investigate the efficacy of therapeutic hypothermia on mild neonatal hypoxic-ischemic encephalopathy (HIE).
METHODS: A prospective study was performed on 153 neonates with mild HIE who were born from September 2019 to September 2023. These neonates were randomly divided into two groups: therapeutic hypothermia (n=77) and non-therapeutic hypothermia group (n=76). The short-term clinical efficacy of the two groups were compared. Barkovich scoring system was used to analyze the severity of brain injury shown on magnetic resonance imaging (MRI) between the two groups.
RESULTS: There were no significant differences in gestational age, gender, birth weight, mode of birth, and Apgar score between the therapeutic hypothermia and non-therapeutic hypothermia groups (P>0.05). There were no significant differences in the incidence rates of sepsis, arrhythmia, persistent pulmonary hypertension and pulmonary hemorrhage and the duration of mechanical ventilation within the first 72 hours after birth between the two groups. The therapeutic hypothermia group had longer prothrombin time within the first 72 hours after birth and a longer hospital stay (P<0.05). Compared with the non-therapeutic hypothermia group, the therapeutic hypothermia group had lower incidence rates of MRI abnormalities (30% vs 57%), moderate to severe brain injury on MRI (5% vs 28%), and watershed injury (27% vs 51%) (P<0.05), as well as lower medium watershed injury score (0 vs 1) (P<0.05).
CONCLUSIONS: Therapeutic hypothermia can reduce the incidence rates of MRI abnormalities and watershed injury, without obvious adverse effects, in neonates with mild HIE, suggesting that therapeutic hypothermia may be beneficial in neuroprotection in these neonates.
目的: 探讨亚低温对新生儿轻度缺氧缺血性脑病（hypoxic-ischemic encephalopathy, HIE）的治疗效果。方法: 前瞻性纳入2019年9月—2023年9月出生的153例轻度HIE新生儿，随机分为亚低温组（77例）和非亚低温组（76例），比较两组的短期临床效果，并采用Barkovich评分系统分析两组患儿磁共振成像（magnetic resonance imaging, MRI）上脑损伤的严重程度。结果: 亚低温组和非亚低温组胎龄、性别、出生体重、Apgar评分等基线资料的比较差异无统计学意义（P>0.05）。两组生后72 h内败血症、心律失常、持续性肺动脉高压、肺出血的发生率及机械通气时间的比较差异无统计学意义（P>0.05）。亚低温组住院时间及生后72 h内凝血酶原时间长于非亚低温组（P<0.05）。与非亚低温组相比，亚低温组MRI异常发生率（30% vs 57%）、MRI中重度脑损伤发生率（5% vs 28%）、分水岭损伤发生率（27% vs 51%）及中位分水岭损伤评分（0 vs 1）均较低（P<0.05）。结论: 新生儿轻度HIE患儿进行亚低温治疗可降低MRI异常发生率和分水岭损伤发生率，且未见明显不良反应，提示新生儿轻度HIE患儿进行亚低温治疗可能在神经保护方面获益。.

Brain damage triggers diverse cellular and molecular events, with astrocytes playing a crucial role in activating local neuroprotective and reparative signaling within damaged neuronal circuits. Here, we investigated reactive astrocytes using a multidimensional approach to categorize their responses into different subtypes based on morphology. This approach utilized the StarTrack lineage tracer, single-cell imaging reconstruction and multivariate data analysis. Our findings identified three profiles of reactive astrocyte responses, categorized by their effects on cell size- and shape- related morphological parameters: \"moderate\", \"strong,\" and \"very strong\". We also examined the heterogeneity of astrocyte reactivity, focusing on spatial and clonal distribution. Our research revealed a notable enrichment of protoplasmic and fibrous astrocytes within the \"strong\" and \"very strong\" response subtypes. Overall, our study contributes to a better understanding of astrocyte heterogeneity in response to an injury. By characterizing the diverse reactive responses among astrocyte subpopulations, we provide insights that could guide future research aimed at identifying novel therapeutic targets to mitigate brain damage and promote neural repair.

BACKGROUND: The identification of specific circulating miRNAs has been proposed as a valuable tool for elucidating the pathophysiology of brain damage or injury and predicting patient outcomes.
OBJECTIVE: This study aims to apply several bioinformatic tools in order to clarify miRNA interactions with potential genes involved in brain injury, emphasizing the need of using a computational approach to determine the most likely correlations between miRNAs and target genes. Specifically, this study centers on elucidating the roles of miR-34b, miR-34c, miR-135a, miR-200c, and miR-451a.
METHODS: After a careful evaluation of different software available (analyzing the strengths and limitations), we applied three tools, one to perform an analysis of the validated targets (miRTarBase), and two to evaluate functional annotations (miRBase and TAM 2.0).
RESULTS: Research findings indicate elevated levels of miR-135a and miR-34b in patients with traumatic brain injury (TBI) within the first day post-injury, while miR-200c and miR-34c were found to be upregulated after 7 days. Moreover, miR-451a and miR-135a were found overexpressed in the serum, while miRNAs 34b, 34c, and 200c, had lower serum levels at baseline post brain injury.
CONCLUSIONS: This study emphasizes the use of computational methods in determining the most likely relationships between miRNAs and target genes by investigating several bioinformatic techniques to elucidate miRNA interactions with potential genes. Specifically, this study focuses on the functions of miR-34b, miR-34c, miR-135a, miR-200c, and miR-451a, providing an up-to-date overview and suggesting future research directions for identifying theranomiRNAs related to brain injury, both at the tissue and serum levels.

Preterm infants are a high-risk group for brain injury, and it is important to evaluate the neurological recovery of preterm infants. Therefore, this paper evaluates the neurological recovery in preterm infants at high risk of brain injury by amplitude-integrated EEG and GMs scale. The study collected basic information on preterm infants and performed amplitude integrated EEG examination and GMs scale evaluation. Amplitude integrated EEG examination attaches electrodes using multielectrode arrays onto specific areas of the premature head to record brain wave activity to monitor electrical activity in the preterm brain in real time and amplify and process through the signals received by the electrodes to obtain more detailed EEG data. The GMs scale evaluates the developmental and functional status of the child and allows an objective assessment of the development and recovery of neurological function by observing their performance in motor, language, cognition, and social interaction. Analysis of the data by statistical processing. The results showed that early brain injury was evident in high-risk infants. Amplitude integrated EEG parameters can have some predictive value for brain injury. There were also differences in GMs scale assessment between brain injury and non-brain injury. Amplitude integrated EEG combined with GMs scale has certain value in predicting brain injury and can provide an important basis for early intervention in children with preterm brain injury and help to improve their neurodevelopmental outcome.

BACKGROUND: Brain recovery mechanisms after injuries like aneurysmal subarachnoid hemorrhage (aSAH), ischemic stroke (IS), and traumatic brain injury (TBI) involve brain plasticity, synaptic regeneration, and neuroinflammation. We hypothesized that serum levels of the p75 neurotrophic receptor (p75NTR) and associated signaling proteins, as well as differentially expressed (DE) microRNAs, could predict recovery outcomes irrespective of injury type.
METHODS: A prospective patient cohort with ischemic stroke (IS, n = 30), aneurysmal subarachnoid hemorrhage (aSAH, n = 31), and traumatic brain injury (TBI, n = 13) were evaluated (total n = 74). Serum samples were collected at two post-injury intervals (early: 1-3 days, late: 4-8 days), and outcomes were assessed after three months using the modified Rankin Scale (mRS), categorizing outcomes as favorable (mRS 0-3) or unfavorable (mRS 4-6). Six proteins were measured using ELISAs: p75NTR, NGF, sortilin, IL1β, TNFα, and cyclophilin. DE microRNAs were identified using DESeq2, and their target genes were predicted. Serum molecules between patients with differing outcomes were compared using a Kolmogorov-Smirnov test, 2-tailed t-test and multivariate linear discriminant analysis (LDA).
RESULTS: Favorable (n = 46) and unfavorable (n = 28) outcome cohorts were balanced with age and sex (p = 0.25 and 0.63). None of the studied proteins correlated with age. Combinatory LDA of the six protein biomarkers indicated strong prognostic value for favorable outcomes (OR 2.09; AUC = 70.3%, p = 0.0058). MicroRNA expression changes over time were identified in the aSAH, TBI, and IS groups (p < 0.05, FDR corrected). Twenty-three microRNAs were commonly DE across all brain injury groups when comparing favorable and unfavorable outcomes (p < 0.05). LDA of four microRNAs targeting the studied proteins showed high prognostic accuracy (OR 11.7; AUC = 94.1%, p = 0.016).
CONCLUSIONS: The combined prognostic microRNA and protein biomarker models demonstrated accurate outcome prognostication across diverse injury types, implying the presence of a common recovery mechanism. DE microRNAs were found to target the studied molecules, suggesting a potential mechanistic role in recovery. Further investigation is warranted to study these molecules in prognostication, as well as therapeutic targets for enhancing recovery.

UNASSIGNED: The findings regarding the prognosis of prolonged disorders of consciousness (PDOC) vary widely among different studies. This study aims to investigate the mortality, consciousness recovery and disabilities of patients with PDOC after brain injury.
UNASSIGNED: A total of 204 patients with PDOC were included in a longitudinal cohort study, including 129 males and 75 females. There were 112 cases of traumatic brain injury (TBI), 62 cases of cerebral hemorrhage (CH), 13 cases of cerebral infarction (CI) and 17 cases of ischemic hypoxic encephalopathy (IHE). The status of consciousness at 1, 2, 3, 6, 12, 18, 24, 36, 48 months of the disease course was assessed or followed up using the Revised Coma Recovery Scale (CRS-R). If the patients were conscious, the disability Rating Scale (DRS) was also performed. The prognosis of different PDOC including coma, vegetative state (VS) and minimal conscious state (MCS) was analyzed. The survival patients were screened for variables and included in multivariate binary Logistic regression to screen the factors affecting the recovery of consciousness.
UNASSIGNED: The mortality rates at 12, 24, 36, and 48 months were 10.7, 23.4, 38.9, and 68.4%, respectively. The median time of death was 18 months (8.75, 29). The probability of MCS regaining consciousness was higher than VS (p < 0.05), with the degree of disability left lower than VS (p < 0.05). There was no significant difference between MCS- and MCS+ groups in terms of the probability of regaining consciousness, the extent of residual disability, and mortality rates (p > 0.05). The mortality rate of coma was higher than that of other PDOC (p < 0.05). The mortality rate of MCS was lower than that of VS, but the difference was not statistically significant (p > 0.05). The probability of consciousness recovery after TBI was the highest and the mortality rate was the lowest. The possibility of consciousness recovery in IHE was the least, and the mortality rate of CI was the highest. The cause of brain injury and initial CRS-R score were the factors affecting the consciousness recovery of patients (p < 0.05).
UNASSIGNED: The prognosis of MCS is more favorable than VS, with comparable outcomes between MCS- and MCS+, while comatose patients was the poorest. TBI has the best prognosis and IHE has the worst prognosis.

Patients with brain injury often experience accompanying disabilities that can make it challenging for them to use tools or perform complex tests. Therefore, Korean Mini-Mental State Examination (K-MMSE) is widely used in clinical practice as an alternative to the computerized neurocognitive test (CNT) or Wechsler Adult Intelligence Scale tests to assess cognitive function in these individuals. This study aimed to investigate the correlation between the K-MMSE and CNT in brain injury patients to evaluate the and clinical usefulness of K-MMSE. A total of 120 patients were assessed using both tests, and a significant correlation was observed between the total scores of K-MMSE and CNT. The orientation component of K-MMSE was significantly correlated with CNT components, indicating that individuals who perform well on orientation tasks are likely to have better cognitive abilities overall. While K-MMSE has limitations in evaluating specific cognitive domains, it is a useful tool in clinical practice for evaluating cognitive impairment, especially in patients who have difficulty using more complex cognitive tests.

Aim: Although lactate supplementation at the reperfusion stage of ischemic stroke has been shown to offer neuroprotection, whether the role of accumulated lactate at the ischemia phase is neuroprotection or not remains largely unknown. Thus, in this study, we aimed to investigate the roles and mechanisms of accumulated brain lactate at the ischemia stage in regulating brain injury of ischemic stroke. Methods and Results: Pharmacological inhibition of lactate production by either inhibiting LDHA or glycolysis markedly attenuated the mouse brain injury of ischemic stroke. In contrast, additional lactate supplement further aggravates brain injury, which may be closely related to the induction of neuronal death and A1 astrocytes. The contributing roles of increased lactate at the ischemic stage may be related to the promotive formation of protein lysine lactylation (Kla), while the post-treatment of lactate at the reperfusion stage did not influence the brain protein Kla levels with neuroprotection. Increased protein Kla levels were found mainly in neurons by the HPLC-MS/MS analysis and immunofluorescent staining. Then, pharmacological inhibition of lactate production or blocking the lactate shuttle to neurons showed markedly decreased protein Kla levels in the ischemic brains. Additionally, Ldha specific knockout in astrocytes (Aldh1l1 CreERT2; Ldha fl/fl mice, cKO) mice with MCAO were constructed and the results showed that the protein Kla level was decreased accompanied by a decrease in the volume of cerebral infarction in cKO mice compared to the control groups. Furthermore, blocking the protein Kla formation by inhibiting the writer p300 with its antagonist A-485 significantly alleviates neuronal death and glial activation of cerebral ischemia with a reduction in the protein Kla level, resulting in extending reperfusion window and improving functional recovery for ischemic stroke. Conclusion: Collectively, increased brain lactate derived from astrocytes aggravates ischemic brain injury by promoting the protein Kla formation, suggesting that inhibiting lactate production or the formation of protein Kla at the ischemia stage presents new therapeutic targets for the treatment of ischemic stroke.