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Alzheimer’s disease (AD) is the most common type of dementia in the elderly and causes neurodegeneration, leading to memory loss, behavioral disorder, and psychiatric impairment. One potential mechanism contributing to the pathogenesis of AD may be the imbalance in gut microbiota, local and systemic inflammation, and dysregulation of the microbiota–gut–brain axis (MGBA). Most of the AD drugs approved for clinical use today are symptomatic treatments that do not improve AD pathologic changes. As a result, researchers are exploring novel therapeutic modalities. Treatments involving the MGBA include antibiotics, probiotics, transplantation of fecal microbiota, botanical products, and others. However, single-treatment modalities are not as effective as expected, and a combination therapy is gaining momentum. The purpose of this review is to summarize recent advances in MGBA-related pathological mechanisms and treatment modalities in AD and to propose a new concept of combination therapy. “MGBA-based multitherapy” is an emerging view of treatment in which classic symptomatic treatments and MGBA-based therapeutic modalities are used in combination. Donepezil and memantine are two commonly used drugs in AD treatment. On the basis of the single/combined use of these two drugs, two/more additional drugs and treatment modalities that target the MGBA are chosen based on the characteristics of the patient’s condition as an adjuvant treatment, as well as the maintenance of good lifestyle habits. “MGBA-based multitherapy” offers new insights for the treatment of cognitive impairment in AD patients and is expected to show good therapeutic results.

Entorhinal cortex (EC), thought to be the location of the earliest lesions in Alzheimer’s disease (AD), has been widely studied in recent years. With the irreversible pathological changes of AD, there is an urgent need to find biomarkers that can be used to predict the presence of the disease before it is clinically expressed. The aim of this review is to summarize and analyze recent findings that are relevant to the important role of EC in the diagnosis of mild cognitive impairment (MCI) and mild AD and to describe a range of neuroimaging techniques used to define the EC boundary. A comprehensive literature search for articles published up to May 2015 was performed. Our research highlights the finding that atrophy in EC reflects the early pathological changes of AD and can be a strong predictor of prodromal AD. The early changes in EC are a good imaging biomarker that can be used to discriminate individuals with MCI from normal control subjects. A larger degree of atrophy in EC predicts increased disease severity, and the right EC in patients with mild AD exhibited greater changes than the left side. In addition, the EC seems to have an obvious advantage over the hippocampus as a biomarker when predicting future conversion to AD in individuals with MCI, and it may be of help in following the course of disease progression. In this review, we also summarize the main differences observed between the hippocampus and the EC when differentiating diseases. These findings will hopefully provide an opportunity for the effective prevention and early treatment of AD.

Multiple system atrophy (MSA) is a neurodegenerative disease that presents as an autonomic dysfunction in combination with varying degrees of parkinsonism and cerebellar ataxia. It comprises a pathologically widespread neuronal loss accompanied by gliosis in the basal ganglia, cerebellum, pons, inferior olivary nuclei, and spinal cord. As a rapidly progressive disorder, MSA develops with autonomic dysfunction and mobility problems in several years. These autonomic and motor function impairments severely disrupt the patients' daily lives. Currently, the therapeutic management of this disease is only symptomatic. An early and accurate diagnosis is helpful not only in the clinical field but also in the research for new therapies. The biomarkers in cerebrospinal fluid (CSF) and serum facilitate the differential diagnosis of MSA when the disease is difficult to recognize based on the clinical features or even presymptomatic. This review will summarize the biomarkers present in CSF that are potential candidates to accurately differentiate MSA from other similar neurodegenerative disorders.