Structural changes in the brain of patients with relapsing-remitting multiple sclerosis compared to controls: a MRI-based stereological study

Which neuroimaging and fluid biomarkers method is better in theranostic of Alzheimer's disease? An umbrella review

Biomarkers are measured to evaluate physiological and pathological processes as well as responses to a therapeutic intervention. Biomarkers can be classified as diagnostic, prognostic, predictor, clinical, and therapeutic. In Alzheimer's disease (AD), multiple biomarkers have been reported so far. Nevertheless, finding a specific biomarker in AD remains a major challenge. Three databases, including PubMed, Web of Science, and Scopus were selected with the keywords of Alzheimer's disease, neuroimaging, biomarker, and blood. The results were finalized with 49 potential CSF/blood and 35 neuroimaging biomarkers. To distinguish normal from AD patients, amyloid-beta42 (Aβ42), plasma glial fibrillary acidic protein (GFAP), and neurofilament light (NFL) as potential biomarkers in cerebrospinal fluid (CSF) as well as the serum could be detected. Nevertheless, most of the biomarkers fairly change in the CSF during AD, listed as kallikrein 6, virus-like particles (VLP-1), galectin-3 (Gal-3), and synaptotagmin-1 (Syt-1). From the neuroimaging aspect, atrophy is an accepted biomarker for the neuropathologic progression of AD. In addition, Magnetic resonance spectroscopy (MRS), diffusion weighted imaging (DWI), diffusion tensor imaging (DTI), tractography (DTT), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI), can be used to detect AD. Using neuroimaging and CSF/blood biomarkers, in combination with artificial intelligence, it is possible to obtain information on prognosis and follow-up on the different stages of AD. Hence physicians could select the suitable therapy to attenuate disease symptoms and follow up on the efficiency of the prescribed drug.

Brain-derived neurotrophic factor serum levels as a candidate biomarker for withdrawal in crack heroin dependence

BACKGROUND

Crack heroin is a novel opiate derivative with highly addictive properties and unfamiliar health consequences. It causes a variety of brain dysfunctions that are mediated by neurochemical alterations and abnormal neuroplasticity. Brain-derived neurotrophic factor (BDNF) is a widely recognized biological marker implicated in the neuropathology of substance use during substance use disorder and withdrawal. Its involvement can significantly contribute to the severity of withdrawal symptoms. Hence, this study aimed to evaluate BDNF levels in crack heroin users before and after withdrawal.

METHODS

In this cross-sectional study, 148 male participants were recruited and divided into two groups: persons with crack heroin use disorder (n = 74) and the controls (n = 74). The BDNF serum levels were measured in both crack heroin users and control groups upon hospitalization and again after twenty-one days of withdrawal using the enzyme-linked immunosorbent assay.

RESULTS

The results demonstrated that BDNF levels in persons with crack heroin use disorder upon admission were significantly lower than the levels observed upon discharge and in the control group (p < 0.05). Additionally, a significant difference in BDNF levels was found between persons with crack heroin use disorder at admission and discharge (p = 0.038). Furthermore, BDNF levels showed an inverse correlation with the daily dose of substance use (r= -0.420, p = 0.03) and the duration of crack heroin use (r= -0.235, p = 0.001).

CONCLUSIONS

A progressive increment in BDNF levels during early detoxification is associated with the daily amount of substance use and the duration of substance use. Our findings suggest that changes in BDNF serum levels during crack heroin use disorder and withdrawal could serve as potential biomarkers for assessing the intensity of withdrawal symptoms and substance use-related behaviors.

Brain Structural Changes in Schizophrenia Patients Compared to the Control: An MRI-based Cavalieri's Method

INTRODUCTION

Schizophrenia is a severe psychotic brain disorder. One of the potential mechanisms underlying this disease may be volumetric changes in some brain regions. The present study aimed to employ magnetic resonance imaging (MRI) to estimate and quantitatively analyze the brain of patients with schizophrenia compared to the controls.

METHODS

This case-control study was conducted on MRI scans of 20 patients with schizophrenia and 20 healthy controls in Zahedan City, Southeastern Iran. MRIs with 4 mm slice thickness and 5 mm intervals in coronal and sagittal planes were captured. Then, quantitative parameters, including volume and volume density of various brain regions, were estimated in both groups using Cavalieri's point counting method. Data analyses were performed using the Mann-Whitney U test.

RESULTS

The findings of this investigation revealed that volumes of gray matter, hippocampus, and gray/white matter in patients with schizophrenia were significantly lower than the controls (P<0.05). The volumes of lateral ventricles in patients with schizophrenia (36.60±4.32 mm3) were significantly higher than the healthy individuals (30.10±7.98 mm3). However, there were no statistically significant differences between the two groups regarding the changes in the brain's total volume, cerebral hemispheres, white matter, brain stem, cerebellum, and corpus callosum (P>0.05).

CONCLUSION

Volumetric estimations on brain MRI-based stereological technique can be helpful for elucidation of structural changes, following up the treatment trends, and evaluating the therapeutic situations in schizophrenia patients. Volumetric alternations in specific brain areas might be linked to cognitive impairments and the severity of symptoms in patients with schizophrenia. Further research is needed in this regard.

HIGHLIGHTS

Volumetric changes occur in certain regions of the brain of schizophrenia patients.Structural changes in the brain of schizophrenia patients are associated with the severity of clinical manifestations.A brain MRI-based stereological technique can clarify neuropathology and assess therapeutic efficiency in patients with schizophrenia.

PLAIN LANGUAGE SUMMARY

Schizophrenia is a severe neuropsychiatric disorder with worldwide prevalence that disrupts a person's social life. It's characterized by progressive neuroanatomical alterations in both gray and white matter in different brain regions and associated with changes in the structural and functioning of some critical brain circuits. Several factors have been suggested to be involved in the development and progression of the disease including alternations and disconnection in myelin, genetic factors, neurodegenerative process, neuroinflammation, neurodevelopmental deficiencies, the number of dopaminergic neurons and volumetric changes in different areas of the brain. It has shown that quantitative volumetric brain measurements on magnetic resonance imaging (MRI) scans in patients with neurodegenerative disease owing to selective regional atrophy are beneficial for clinicians to ascertain disease progression and to evaluate volume alternations and response to treatment. Thus, we investigated structural changes of the brain in schizophrenia patients on MR images using accurate Cavalieri's estimation and compared to healthy controls. The findings demonstrated that some structural changes occurs in various brain areas which involved in many critical roles in normal brain's functionality and connectivity. On the other hand, these changes are associated with cognitive impairments and the severity of clinical symptoms in patients with schizophrenia. It's appears that elucidation of the different pathways of various structural abnormalities related to schizophrenia is required to recognize and determine the role of discrete pathophysiological phenomena in mental illness development and progress.

Withania coagulans extract attenuates oxidative stress-mediated apoptosis of cerebellar purkinje neurons after ischemia/reperfusion injury

Cerebral ischemia/reperfusion (I/R) is known to increase reactive oxygen species (ROS) generation, consequences of oxidative stress (OS), and neuronal death in the susceptible brain areas including the cerebellum. Newly, remarkable attention has been paid to a natural diet with the capability to scavenge ROS. Withania coagulans root extract (WCE) is rich in components with antioxidants properties. Therefore, this study aimed to evaluate the effect of WCE on cerebellar Purkinje cells (PCs) against OS-mediated apoptosis after I/R injury. In this experimental study 64 male adult Wistar rats were randomly divided into 4 groups (n = 16) as follows: control, sham, I/R, and WCE 1000 + I/R. I/R animals were pretreated with daily administration of hydro-alcoholic WCE (1000 mg/kg) or distilled water as a vehicle for 30 days before I/R injury. After 72 h, the animals were sacrificed, the cerebellum tissue was removed and used for biochemical (CAT, SOD, GPx, and MDA levels) and histopathological (Nissl and TUNEL staining) assays. Findings showed that the MDA level and the number of apoptotic neurons significantly increased and viable Purkinje neurons decreased in I/R injury (p < 0.05). Administration of 1000 mg/kg WCE reduced MDA level and enhanced antioxidants activity including CAT, SOD, and GPx significantly. In addition, intact surviving PCs increased. At the same time, TUNEL-positive neurons decreased significantly in the WCE pre-treated group (p < 0.05). These findings suggest that WCE can counteract cerebral I/R-induced OS and associated neuronal death by enhancement of ROS scavenging and antioxidant capacity. It appears that pre-treatment with 1000 mg/kg WCE for thirty days can protect PCs against OS-mediated apoptosis after I/R injury.

Long-term administration of metformin ameliorates age-dependent oxidative stress and cognitive function in rats

BACKGROUND

Aging is an inevitable physiological process, associated with a decline in cognitive function. Recently, metformin, as the first-line treatment for type II diabetes, has been shown to increase the life expectancy of diabetic patients. Therefore, researchers are paying increasing attention to its anti-aging properties. Oxygen free radicals are responsible for oxidative stress, which is a prominent factor in age-associated diseases. This study aimed to evaluate the effects of long-term administration of metformin on age-dependent oxidative stress and cognitive function.

METHODS

In this experimental study, 32 normal (nondiabetic) male Wistar rats were randomly assigned into control and metformin groups (n = 16 per group). The metformin group received 100 mg/kg of metformin in drinking water daily for six months. The shuttle box test was used for the passive avoidance task in 24-month-old rats. For the biochemical assay, the total antioxidant capacity (TAC) and malondialdehyde (MDA) level were measured. Nissl and TUNEL staining were also used for histopathological assessments. Data were analyzed using independent t-test.

RESULTS

The present findings revealed that metformin significantly reduced the MDA level and increased the TAC in the hippocampus of the metformin group (p < 0.05). The survival of hippocampal CA1 neurons was significantly higher in the metformin group as compared to the control group, while the number of TUNEL-positive neurons decreased significantly (p < 0.05). On the other hand, metformin markedly improved the passive avoidance memory in the metformin group as compared to the control group (p < 0.05).

CONCLUSION

It can be concluded that long-term metformin intake, by modulating the oxidant/antioxidant mechanisms, prevents the loss of hippocampal neurons caused by age-dependent oxidative stress and improves memory.