Exploring causal links between brain functional networks and neurodegenerative disease risk using Mendelian randomization.

BackgroundPreviously, we collected age-stratified incidence data of 404 epidemiological datasets of 10 neurodegenerative diseases (NDs), namely Amyotrophic Lateral Sclerosis (ALS), Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), Fronto Temporal Dementia (FTD), Dementia with Lewy Bodies (DLB), Parkinsonism (PDM), Parkinson’s disease with Dementia (PDD), Creutzfeldt–Jakob disease (CJD), and Multiple Sclerosis (MS). We tested whether each ND follows a multistep model, found the number of steps necessary for the onset of each ND, found the number of common steps with other NDs and the number of specific steps of each ND, and built a parsimony tree of the genealogy of the NDs. The tree disclosed three groups of NDs: the stem NDs with less than 3 steps; the trunk NDs with 5–7 steps; and the crown NDs with more than 7 steps.MethodsWe made a multidimensional reduction of the previously collected age-stratified incidence epidemiological data of the 10 NDs. We studied the general range of incidence of the 10 NDs using the age- and sex-stratified incidence data. First, we calculated the log of the incidence versus the log of the age for each ND. Next, we calculated the age intervals of the spread of the incidence of each ND. We calculated the regression of the steps obtained with the multistep model versus the age of incidence of the NDs.ResultsWe found that the number of steps of the NDs is inversely correlated with the age of incidence of the NDs, and calculated the number of years required for a single step for each ND. Based on these results, we extended the genealogy tree model of the NDs to account for the time needed for a ND step to occur.ConclusionThe extended genealogy tree disclosed three groups of NDs according to the estimated time needed for a step to occur: the stem ND, HD, with 32.5 years/step, the trunk NDs ALS, FTD, PD and CJD, with 6.7–13.7 years/step; and the crown NDs PDM, PDD, AD and DLB, with 2.3–3.8 years/step. Thus, the NDs cluster into three groups according to both the number of steps and the number of years for a step to occur.

Neurodegenerative diseases involve progressive neuronal dysfunction and cognitive decline, posing substantial global challenges. Although the precise causes remain unclear, several studies highlight the role of protein metabolism abnormalities in disease development. This study investigates the causal links between variations in mitochondrial protein genes and neurodegenerative diseases, aiming to elucidate their potential contributions to disease progression and identify novel therapeutic strategies. Herein, we utilized data from genome-wide association studies (GWAS) on mitochondrial proteins and neurodegenerative diseases. Bidirectional Mendelian randomization (MR), employing instrumental variables (IVs), was used to assess causal relationships. The primary method for estimating causal effects was the inverse variance-weighted (IVW) method, supplemented by additional MR approaches. Bidirectional MR revealed significant associations between mitochondrial protein gene variants and neurodegenerative diseases. Specifically, associations were found with Alzheimer's disease (AD) (three proteins), Parkinson's disease (PD) (four proteins), amyotrophic lateral sclerosis (ALS) (six proteins), multiple sclerosis (two proteins), and dementia with Lewy bodies (four proteins). Conversely, analyses indicated significant associations of neurodegenerative diseases with mitochondrial protein gene variants, notably with AD, dementia with Lewy bodies, and multiple sclerosis, affecting multiple mitochondrial protein levels. Bidirectional causality was observed between dementia with Lewy bodies and C21orf33. Using MR, we identified significant links between mitochondrial protein gene mutations and the risk of neurodegenerative diseases. These results highlight reciprocal relationships where certain neurodegenerative diseases influence mitochondrial protein expression levels. These findings underscore the pivotal role of mitochondrial proteins in neurodegenerative diseases, offering critical insights into disease mechanisms and potential therapeutic avenues.

Neurodegenerative diseases are incurable conditions that lead to gradual and progressive deterioration of brain function in patients. With the aging population, the prevalence of these diseases is expected to increase, posing a significant economic burden on society. Imaging techniques play a crucial role in the diagnosis and monitoring of neurodegenerative diseases. This study utilized a two-sample Mendelian randomization (MR) analysis to assess the causal relationship between different imaging-derived phenotypes (IDP) in the brain and neurodegenerative diseases. Multiple MR methods were employed to minimize bias and obtain reliable estimates of the potential causal relationship between the variable exposures of interest and the outcomes. The study found potential causal relationships between different IDPs and Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), multiple sclerosis (MS), and frontotemporal dementia (FTD). Specifically, the study identified potential causal relationships between 2 different types of IDPs and AD, 8 different types of IDPs and PD, 11 different types of imaging-derived phenotypes and ALS, 1 type of IDP and MS, and 1 type of IDP and FTD. This study provides new insights for the prevention, diagnosis, and treatment of neurodegenerative diseases, offering important clues for understanding the pathogenesis of these diseases and developing relevant intervention strategies.

Evaluation of brain perfusion SPECT using an easy Z-score imaging system (eZIS) as an adjunct to early-diagnosis of neurodegenerative diseases

Background: We aimed to explore the genetic correlation and bidirectional causal relationships between low back pain (LBP) and three neurodegenerative diseases, Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS).Methods: Summary-level statistics were obtained from genome-wide association studies of LBP (n = 177,860), AD (n = 63,926), PD (n = 482,730), and ALS (n = 80,610). We implemented linkage disequilibrium score regression to calculate heritability estimates and genetic correlations. To investigate possible causal associations between LBP and three neurodegenerative diseases, we also conducted a bidirectional two-sample Mendelian randomization (MR) study. Inverse variance-weighted MR was employed as the primary method to generate overall estimates, whereas complementary approaches and sensitivity analyses were conducted to confirm the consistency and robustness of the findings.Results: There was no evidence of genetic correlations between LBP and AD (Rg = −0.033, p = 0.766). MR analyses did not support the causal effect of LBP on AD (OR = 1.031; 95% CI, 0.924–1.150; p = 0.590) or the effect of AD on LBP (OR = 0.963; 95% CI, 0.923–1.006; p = 0.090). Likewise, this study failed to identify genetic correlations between LBP and two other neurodegenerative diseases. MR results of the associations of LBP with PD and ALS, and the reverse associations, did not reach Bonferroni-corrected significance.Conclusion: The study did not support genetic correlations or causations between LBP and three common neurodegenerative diseases, AD, PD, and ALS in the European population.

The challenges of COVID-19 for people with dementia with Lewy bodies and family caregivers.

Novel monoclonal antibodies targeting the RRM2 domain of human TDP-43 protein

As the differential diagnosis of dementias based on established clinical criteria is often difficult, biomarkers for applicable diagnostic testing are currently under intensive investigation. Amyloid plaques deposited in the brain of patients suffering from Alzheimer's disease, dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) mainly consist of carboxy-terminally elongated forms of amyloid-beta (Aβ) peptides, such as Aβ1–42. Absolute Aβ1–42 levels in CSF have shown diagnostic value for the diagnosis of Alzheimer's disease, but the discrimination among Alzheimer's disease, DLB and PDD was poor. A recently established quantitative urea-based Aβ-sodium-dodecylsulphate–polyacrylamide-gel-electrophoresis with Western immunoblot (Aβ-SDS–PAGE/immunoblot) revealed a highly conserved Aβ peptide pattern of the carboxy-terminally truncated Aβ peptides 1–37, 1–38, 1–39 in addition to 1–40 and 1–42 in human CSF. We used the Aβ-SDS–PAGE/immunoblot to investigate the CSF of 23 patients with Alzheimer's disease, 21 with DLB, 21 with PDD and 23 non-demented disease controls (NDC) for disease-specific alterations of the Aβ peptide patterns in its absolute and relative quantities. The diagnostic groups were matched for age and severity of dementia. The present study is the first attempt to evaluate the meaning of Aβ peptide patterns in CSF for differential diagnosis of the three neurodegenerative diseases—Alzheimer's disease, DLB and PDD. The Aβ peptide patterns displayed disease-specific variations and the ratio of the differentially altered Aβ1–42 to the Aβ1–37 levels subsequently discriminated all diagnostic groups from each other at a highly significant level, except DLB from PDD. Additionally, a novel peptide with Aβ-like immunoreactivity was observed constantly in the CSF of all 88 investigated patients. The pronounced percentage increase of this peptide in DLB allowed a highly significant discrimination from PDD. Using a cut-off point of 0.954%, this marker yielded a diagnostic sensitivity and specificity of 81 and 71%, respectively. From several lines of indication, we consider this peptide to represent an oxidized α-helical form of Aβ1–40 (Aβ1–40*). The increased abundance of Aβ1–40* probably reflects a disease-specific alteration of the Aβ1–40 metabolism in DLB. We conclude that Aβ peptide patterns reflect disease-specific pathophysiological pathways of different dementia syndromes as distinct neurochemical phenotypes. Although Aβ peptide patterns failed to fulfil the requirements for a sole biomarker, their combined evaluation with other biomarkers is promising in neurochemical dementia diagnosis. It is noteworthy that DLB and PDD exhibit distinct clinical temporal courses, despite their similar neuropathological appearance. Their distinct molecular phenotypes support the view of different pathophysiological pathways for each of these neurodegenerative diseases.

TDP-43 (43-kDa TAR DNA-binding domain protein) is a major constituent of ubiquitin-positive cytoplasmic aggregates present in neurons of patients with fronto-temporal lobular dementia and amyotrophic lateral sclerosis (ALS). The pathologic significance of TDP-43 aggregation is not known; however, dominant mutations in TDP-43 cause a subset of ALS cases, suggesting that misfolding and/or altered trafficking of TDP-43 is relevant to the disease process. Here, we show that the presenilin-binding protein ubiquilin 1 (UBQLN) plays a role in TDP-43 aggregation. TDP-43 interacted with UBQLN both in yeast and in vitro, and the carboxyl-terminal ubiquitin-associated domain of UBQLN was both necessary and sufficient for binding to polyubiquitylated forms of TDP-43. Overexpression of UBQLN recruited TDP-43 to detergent-resistant cytoplasmic aggregates that colocalized with the autophagosomal marker, LC3. UBQLN-dependent aggregation required the UBQLN UBA domain, was mediated by non-overlapping regions of TDP-43, and was abrogated by a mutation in UBQLN previously linked to Alzheimer disease. Four ALS-associated alleles of TDP-43 also coaggregated with UBQLN, and the extent of aggregation correlated with in vitro UBQLN binding affinity. Our findings suggest that UBQLN is a polyubiquitin-TDP-43 cochaperone that mediates the autophagosomal delivery and/or proteasome targeting of TDP-43 aggregates.

Cerebrospinal Fluid Tau Levels in Neurodegenerative Diseases with Distinct Tau-Related Pathology

Amyloid beta(40) (Abeta(40)) is the most abundant Abeta peptide in the brain. The cerebrospinal fluid (CSF) level of Abeta(40) might therefore be considered to most closely reflect the total Abeta load in the brain. Both in Alzheimer's disease (AD) and in normal aging the Abeta load in the brain has a large inter-individual variability. Relating Abeta(42) to Abeta(40) levels might consequently provide a more valid measure for reflecting the change in Abeta metabolism in dementia patients than the CSF Abeta(42) concentrations alone. This measure may also improve differential diagnosis between AD and other dementia syndromes, such as vascular dementia (VaD), dementia with Lewy bodies (DLB), and frontotemporal dementia (FTD). To investigate the diagnostic value of the CSF Abeta(42)/Abeta(40) ratio in differentiating AD from controls, VaD, DLB and FTD. We analysed the CSF Abeta(42)/Abeta(40) ratio, phosphorylated tau(181) and total tau in 69 patients with AD, 26 patients with VaD, 16 patients with DLB, 27 patients with FTD, and 47 controls. Mean Abeta(40) levels were 2850 pg/ml in VaD and 2830 pg/ml in DLB patients, both significantly lower than in AD patients (3698 pg/ml; p<0.01). Abeta(40) levels in AD patients were not significantly different from those in controls (4035 pg/ml; p=0.384). The Abeta(42)/Abeta(40) ratio was significantly lower in AD patients than in all other groups (p <0.001, ANCOVA). Differentiating AD from VaD, DLB and non-AD dementia improved when the Abeta(42)/Abeta(40) ratio was used instead of Abeta(42) concentrations alone (p<0.01) The Abeta(42)/Abeta(40) ratio performed equally well as the combination of Abeta(42), phosphorylated tau(181) and total tau in differentiating AD from FTD and non-AD dementia. The diagnostic performance of the latter combination was not improved when the Abeta(42)/Abeta(40) ratio was used instead of Abeta(42) alone. The CSF Abeta42/Abeta40 ratio improves differentiation of AD patients from VaD, DLB and non-AD dementia patients, when compared to Abeta42 alone, and is a more easily interpretable alternative to the combination of Abeta42, p-tau and t-tau when differentiating AD from either FTD or non-AD dementia.

(Reprinted with permission from American Psychiatric Association, http://psychiatryonline.org/guidelines).

Haloperidol in the Treatment of Agitation and Psychosis of Lewy Body Dementia after Failure of Second Generation Antipsychotic: Case Report and Literature Review

Neurodegenerative diseases (NDs) are common chronic diseases with unknown etiology, and the association between virus and its pathogenesis is not clear. The aim of this study is to explore the role of virus in the pathogenesis of NDs by analyzing the causal effect between infectious mononucleosis (IM) mainly caused by Epstein–Barr virus and NDs. Based on the summary statistics of a large-scale genome-wide association study, we analyzed the causal effects of IM and NDs by Mendelian randomization (MR) using genetic variants as instrumental variables, including Alzheimer disease, Parkinson disease, amyotrophic lateral sclerosis, and multiple sclerosis. The reliability and stability of the MR analysis results were assessed by the MR-Egger intercept test, MR-PRESSO test, and heterogeneity test. Twenty-two single nucleotide polymorphisms that were significantly and strongly associated with IM were used as instrumental variables in the MR analysis. Inverse variance weighted as the main method of MR analysis shows that there were significant causal effects between IM and Alzheimer disease (OR: 1.037, 95% CI: 1.006–1.070) and Parkinson disease (OR: 0.964, 95% CI: 0.930–1.000), while IM was not significantly associated with amyotrophic lateral sclerosis (P = .269) and multiple sclerosis (P = .182). Sensitivity analyses showed that the results were robust. This study suggests that EB virus may contribute to the pathogenesis of NDs, and more research is needed to explore the specific mechanism of virus action on NDs.

Early Visuospatial Deficits Predict the Occurrence of Visual Hallucinations in Autopsy-Confirmed Dementia With Lewy Bodies