Citations

Abstract Background Noncoding RNAs such as microRNAs (miRNAs) have attracted attention as biological pathway regulators, which differ from chromosomal translocations and gene point mutations. Their involvement in the molecular mechanisms underlying light chain (AL) amyloidosis pathogenesis is yet to be elucidated. Aims To decipher specific miRNA expression profile in AL‐amyloidosis and to examine how miRNAs are involved in AL pathogenesis. Methods The expression profile of miRNAs and mRNA from bone marrow (BM)‐derived CD138+ cells were determined using the NanoString nCounter assay and RNA‐Seq, respectively. The effect of aberrantly expressed miRNAs on potential molecular targets was analyzed by qRT‐PCR, Western blot, Mito‐potential assay, and Annexin‐PI staining. Results Genes which were significantly differentially expressed between AL‐amyloidosis and MM, were found to be involved in cell growth and apoptotic mechanisms. Specifically, BCL2L1, MCL1, and BCL2 were upregulated in AL‐amyloidosis compared with MM and controls. The levels of miR‐181a‐5p and miR‐9‐5p, which regulate the above‐mentioned genes, were lower in BM samples from AL‐amyloidosis compared with controls, providing a mechanism for BCL2 family gene upregulation. When miR‐9‐5p and miR‐181a‐5p were overexpressed in ALMC1 cells, BCL2L1, MCL1, and BCL2 were downregulated and induced apoptosis. Treatment of ALMC‐1 cells with venetoclax, (BCL‐2 inhibitor), resulted in the upregulation of those miRNAs, the downregulation of BCL2, MCL1, and BCL2L1 mRNA and protein levels, and subsequent apoptosis. Conclusion Our findings suggest that miR‐9‐5p and miR‐181a‐5p act as tumor‐suppressors whose downregulation induces anti‐apoptotic mechanisms underlying the pathogenesis of AL‐amyloidosis. The study highlights the post‐transcriptional regulation in AL‐amyloidosis and provides pathogenetic evidence for the potential use of BCL‐2 inhibitors in this disease.

Abstract Neurofilament light chain, a putative measure of neuronal damage, is measurable in blood and CSF and is predictive of cognitive function in individuals with Alzheimer’s disease. There has been limited prior work linking neurofilament light and functional connectivity, and no prior work has investigated neurofilament light associations with functional connectivity in autosomal dominant Alzheimer’s disease. Here, we assessed relationships between blood neurofilament light, cognition, and functional connectivity in a cross-sectional sample of 106 autosomal dominant Alzheimer’s disease mutation carriers and 76 non-carriers. We employed an innovative network-level enrichment analysis approach to assess connectome-wide associations with neurofilament light. Neurofilament light was positively correlated with deterioration of functional connectivity within the default mode network and negatively correlated with connectivity between default mode network and executive control networks, including the cingulo-opercular, salience, and dorsal attention networks. Further, reduced connectivity within the default mode network and between the default mode network and executive control networks was associated with reduced cognitive function. Hierarchical regression analysis revealed that neurofilament levels and functional connectivity within the default mode network and between the default mode network and the dorsal attention network explained significant variance in cognitive composite scores when controlling for age, sex, and education. A mediation analysis demonstrated that functional connectivity within the default mode network and between the default mode network and dorsal attention network partially mediated the relationship between blood neurofilament light levels and cognitive function. Our novel results indicate that blood estimates of neurofilament levels correspond to direct measurements of brain dysfunction, shedding new light on the underlying biological processes of Alzheimer’s disease. Further, we demonstrate how variation within key brain systems can partially mediate the negative effects of heightened total serum neurofilament levels, suggesting potential regions for targeted interventions. Finally, our results lend further evidence that low-cost and minimally invasive blood measurements of neurofilament may be a useful marker of brain functional connectivity and cognitive decline in Alzheimer’s disease.

BACKGROUND: Practice guidelines and research results emphasize the need for dyadic interventions targeting psychosocial outcomes such as depression, anxiety, social function, physical function, and health-related quality of life. Resilience interventions have been proposed as one strategy to influence these outcomes. OBJECTIVE: The objective of this observational pilot study was to determine the feasibility and acceptability of the Resilient Living program among persons with stroke or brain tumor (BT) admitted for comprehensive acute inpatient rehabilitation and/or their family caregivers. A secondary aim was to gather preliminary data to assess the effects of the program on quality of life, stress, anxiety, physical function, sleep disturbance, fatigue, resilience, dyadic coping, and caregiver role overload. METHODS: The Resilient Living program is a psychosocial intervention with a focus on building resilience skills. Feasibility and acceptability outcomes were assessed at the end of the study. Quantitative outcome measures were collected at baseline, 12 weeks, and 6 months post the intervention. RESULTS: Eight patients and eight caregivers completed the study. The intervention was feasible with this population. Participants found the intervention useful and appreciated the flexibility of an online program; however, finding time to engage in it was challenging. Recruitment of eligible patients with acquired brain disorders and their caregivers as a dyad was challenging. CONCLUSION: The study confirms prior research suggesting that interventions targeting resilience are feasible, but larger studies with more rigorous methods are needed to appreciate the influence of resilience interventions in persons with brain disorders and their caregivers. Further research is needed to identify the characteristics of those most likely to benefit from resilience interventions and the optimal timing of such interventions.

Background: Estimates of ‘brain-predicted age’ quantify apparent brain age compared to normative trajectories of neuroimaging features. The brain age gap (BAG) between predicted and chronological age is elevated in symptomatic Alzheimer disease (AD) but has not been well explored in presymptomatic AD. Prior studies have typically modeled BAG with structural MRI, but more recently other modalities, including functional connectivity (FC) and multimodal MRI, have been explored. Methods: We trained three models to predict age from FC, structural (S), or multimodal MRI (S+FC) in 390 amyloid-negative cognitively normal (CN/A−) participants (18–89 years old). In independent samples of 144 CN/A−, 154 CN/A+, and 154 cognitively impaired (CI; CDR > 0) participants, we tested relationships between BAG and AD biomarkers of amyloid and tau, as well as a global cognitive composite. Results: All models predicted age in the control training set, with the multimodal model outperforming the unimodal models. All three BAG estimates were significantly elevated in CI compared to controls. FC-BAG was significantly reduced in CN/A+ participants compared to CN/A−. In CI participants only, elevated S-BAG and S+FC BAG were associated with more advanced AD pathology and lower cognitive performance. Conclusions: Both FC-BAG and S-BAG are elevated in CI participants. However, FC and structural MRI also capture complementary signals. Specifically, FC-BAG may capture a unique biphasic response to presymptomatic AD pathology, while S-BAG may capture pathological progression and cognitive decline in the symptomatic stage. A multimodal age-prediction model improves sensitivity to healthy age differences. Funding: This work was supported by the National Institutes of Health (P01-AG026276, P01- AG03991, P30-AG066444, 5-R01-AG052550, 5-R01-AG057680, 1-R01-AG067505, 1S10RR022984-01A1, and U19-AG032438), the BrightFocus Foundation (A2022014F), and the Alzheimer’s Association (SG-20-690363-DIAN).

Abstract Processes that lead to clinical illness in SLE years before diagnosis are not well characterized. This study evaluates the temporal relationship between autoantibody production, cytokine levels and the onset of SLE. Serial sera from 60 SLE cases before diagnosis with no ACR criteria to SLE classification (average timespan=4.4 years) and matched healthy controls (HC) were obtained from the DODSR. Sera samples were tested for autoantibodies (BioPlex2200), C-reactive protein (hs-CRP), Von Willebrand’s Factor (VWF) and 32 soluble inflammatory mediators, including cytokines, chemokines, and soluble receptors. Patient samples before ACR classification had significant (p < 0.01) alterations in 16 soluble mediators of inflammation, as well as VWF and hs-CRP. TNF Receptor levels, TNFRI, TNFRII, BLyS, and APRIL, dramatically increased as lupus classification approached (p < 0.001). The increase in TNFR shedding parallels the accumulation of autoantibodies in SLE cases. Interferon (IFN)-associated mediators of inflammation, IFN-γ, IP-10, MIG, and MIP-1α (p < 0.01), were also increased leading up to classification. That these alterations are present prior to the transition to active SLE suggests that multiple perturbations in immune-mediated inflammatory processes occur long before clinical classification and suggest that high-risk, pre-clinical individuals, can be identified before their illness is clinically manifested and damage occurs.

Abstract The expansion and contraction of mammalian class I multigene families raises the issue as to what determines the loss or retention of family members. We propose that accumulating changes in regulatory regions result in the loss of expression of the gene products during times critical to selection, leading to the extinction of misregulated genes. The structures of promoter regions of MHC class I genes in nonhuman primates support this view. The B promoters are more homogeneous and contain regulatory elements also found in the promoters of the homologous class I genes of more distant mammals, whereas the A locus promoters were significantly more heterogeneous, have fewer sequence motifs related to known transcription factor-binding sites and have accumulated nucleotide substitutions within one of the widely conserved class I promoter elements. These findings are consistent with the view that the more polymorphic B locus is the principal MHC locus encoding functional class I Ag-presenting molecules whereas the less polymorphic A locus is assuming a secondary role as a consequence of promoter defects.

Abstract Background Glial fibrillary acidic protein (GFAP) is a promising candidate blood‐based biomarker for Alzheimer's disease (AD) diagnosis and prognostication. The timing of its disease‐associated changes, its clinical correlates, and biofluid‐type dependency will influence its clinical utility. Methods We evaluated plasma, serum, and cerebrospinal fluid (CSF) GFAP in families with autosomal dominant AD (ADAD), leveraging the predictable age at symptom onset to determine changes by stage of disease. Results Plasma GFAP elevations appear a decade before expected symptom onset, after amyloid beta (Aβ) accumulation and prior to neurodegeneration and cognitive decline. Plasma GFAP distinguished Aβ‐positive from Aβ‐negative ADAD participants and showed a stronger relationship with Aβ load in asymptomatic than symptomatic ADAD. Higher plasma GFAP was associated with the degree and rate of neurodegeneration and cognitive impairment. Serum GFAP showed similar relationships, but these were less pronounced for CSF GFAP. Conclusion Our findings support a role for plasma GFAP as a clinical biomarker of Aβ‐related astrocyte reactivity that is associated with cognitive decline and neurodegeneration. Highlights Plasma glial fibrillary acidic protein (GFAP) elevations appear a decade before expected symptom onset in autosomal dominant Alzheimer's disease (ADAD). Plasma GFAP was associated to amyloid positivity in asymptomatic ADAD. Plasma GFAP increased with clinical severity and predicted disease progression. Plasma and serum GFAP carried similar information in ADAD, while cerebrospinal fluid GFAP did not.

ABSTRACTBackgroundAdult‐onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a rare neurodegenerative disorder with characteristic clinicopathological features. Identification of pathogenic mutations in CSF1R, AARS1, and AARS2 genes led to increased recognition and diagnosis of the ALSP.ObjectivesThis paper presents the first family with typical clinical, radiological, and pathological features of ALSP, yet negative for CSF1R, AARS1, and AARS2 mutations.MethodsThe index case was a 30‐year‐old male who presented with gait difficulty, followed by cognitive decline and incontinence.ResultsNeurological examination evidenced progressive dementia, dysarthria, spasticity, parkinsonism, and severe gait disturbances. Brain MRI showed confluent white matter abnormalities with scattered foci of restricted diffusion, and atrophy of the corpus callosum. He was suspected of ALSP; however, the extensive genetic work‐up did not find pathogenic mutation. He died at 33 years, and brain autopsy was performed. He had myelin staining pallor and axonal swellings, spheroids, and pigmented glia in affected white matter. His father developed similar symptoms in his early 40s and died at 46 years. Neuropathological examination also confirmed ALSP diagnosis. We found two similar cases in the literature with typical ALSP features but negative for CSF1R mutation; however, none were tested for AARS1 and AARS2 mutations.ConclusionsWe draw attention to a new entity within the ALSP disease spectrum that needs further investigation. As the disease‐modifying therapy is already available for ALSP‐CSF1R, there is a strong need to identify the genetic cause of patients such as these in the ALSP spectrum, enabling research toward implementing effective treatment.

AbstractBackgroundIntegrating shared decision making between patients and physicians and incorporating their values and preferences in the development of clinical practice guidelines (CPGs) is of critical importance to optimize CPG implementation and treatment adherence. This applies to many debilitating diseases, including hypercalcemia of malignancy (HCM).ObjectiveEvaluate patient and physician values, preferences, and attitudes to better inform CPGs to treat HCM in adults.MethodsWe followed a mixed-methods approach. We conducted a systematic review using 5 databases to identify studies reporting on patient and physician values, costs and resources, feasibility, acceptability, and equity regarding HCM treatment. We also gathered data from different countries on the cost of multiple treatment modalities. We collected data on outcome prioritization from the CPG Working Group. Similarly, we collected data from patients with HCM regarding outcome prioritization and administered a questionnaire to evaluate their attitudes and perceptions toward treatment as well as treatment acceptability and feasibility.ResultsIn the systematic review, we included 2 cross-sectional surveys conducted on the same population of physicians who agreed that treating HCM alleviates symptoms and improves quality of life; however, harms and benefits should be thoroughly considered when deciding on the duration of treatment. We also included 2 studies on cost showing that intravenous (IV) bisphosphonate is more cost-effective than a combination of IV bisphosphonate and calcitonin and administration of IV zoledronic acid at home is more cost-effective than other IV bisphosphonates. The cost of zoledronic acid, denosumab, and cinacalcet varied widely among countries and types (brand vs generic). Both the CPG Working Group and patients with HCM agreed that the most important outcomes when deciding on treatment were survival and resolution of HCM, but there was some variability in the ratings for other outcomes.ConclusionUsing mixed methods, CPG developers can obtain meaningful information regarding evidence to decision criteria. In the case of HCM CPGs, this approach has provided the required contextual information and supported the development of evidence-based recommendations.