Landscape of driver mutations and their clinical effects on Down syndrome-related myeloid neoplasms.

Transient abnormal myelopoiesis (TAM) is a common complication in newborns with Down syndrome (DS). It commonly progresses to myeloid leukemia (ML-DS) after spontaneous regression. In contrast to the favorable prognosis of primary ML-DS, patients with refractory/relapsed ML-DS have poor outcomes. However, the molecular basis for refractoriness and relapse, and the full spectrum of driver mutations in ML-DS remain largely unknown. We conducted a genomic profiling study of 143 TAM, 204 ML-DS, and 34 non-DS acute megakaryoblastic leukemia cases, including 39 ML-DS cases analyzed by exome sequencing. Sixteen novel mutational targets were identified in ML-DS samples. Of these, inactivations of IRX1 (16.2%) and ZBTB7A (13.2%) were commonly implicated in the upregulation of the MYC pathway and were potential targets for ML-DS treatment with bromodomain-containing protein 4 inhibitors. Partial tandem duplications of RUNX1 on chromosome 21 were also found, specifically in ML-DS samples (13.7%), presenting its essential role in DS leukemia progression. Finally, in 177 patients with ML-DS treated following the same ML-DS protocol (the Japanese Pediatric Leukemia and Lymphoma Study Group AML-D05/D11), CDKN2A, TP53, ZBTB7A, and JAK2 alterations were associated with a poor prognosis. Patients with CDKN2A deletions (n = 7) or TP53 mutations (n = 4) had substantially lower 3-year event-free survival [28.6% vs. 90.5%, P < 0.001; 25.0% vs. 89.5%, P < 0.001] than those without these mutations. These findings considerably change the mutational landscape of ML-DS, provide new insights into the mechanisms of progression from TAM to ML-DS, and help identify new therapeutic targets and strategies for ML-DS.

Antileukemic effect of azacitidine, a DNA methyltransferase inhibitor, on cell lines of myeloid leukemia associated with Down syndrome.

Myeloid leukemia associated with Down syndrome (ML-DS) responds well to chemotherapy and has a favorable prognosis, but the clinical outcome of patients with refractory or relapsed ML-DS is dismal. We recently reported a case of relapsed ML-DS with an effective response to a DNA methyltransferase inhibitor, azacitidine (AZA). However, the efficacy of AZA for refractory or relapsed ML-DS remains uncertain. Here, we investigated the effects and mechanism of action of AZA on three ML-DS cell lines derived from relapsed cases. AZA inhibited the proliferation of all examined ML-DS cell lines to the same extent as that of AZA-sensitive acute myeloid leukemia non-Down syndrome cell lines. Transient low-dose AZA treatment exerted durable antileukemic effects on ML-DS cells. The inhibitory effect included cell cycle arrest, apoptosis, and reduction of aldehyde dehydrogenase activity. Comprehensive differential gene expression analysis showed that AZA induced megakaryocytic differentiation in all ML-DS cell lines examined. Furthermore, AZA induced activation of type I interferon-stimulated genes, primarily involved in antiproliferation signaling, without stimulation of the interferon receptor-mediated autocrine system. Activation of the type I interferon pathway by stimulation with interferon-α exerted antiproliferative effects on ML-DS cells, suggesting that AZA exerts its antileukemic effects on ML-DS cells at least partially through the type I interferon pathway. Moreover, the effect of AZA on normal hematopoiesis did not differ significantly between individuals with non-Down syndrome and Down syndrome. In summary, this study suggests that AZA is a potentially effective treatment option for ML-DS disease control, including relapsed cases, and has reduced side effects.

Factors and brain imaging features associated with cognition in oldest-old patients with Alzheimer-type dementia.

BACKGROUND: The underlying pathophysiology of cognitive dysfunction in oldest-old patients with Alzheimer-type dementia (AD) has not been clarified to date. We aimed to determine the factors and brain imaging features associated with cognition in oldest-old patients with AD. METHODS: We enrolled 456 consecutive outpatients with probable AD (145 men and 311 women, age range: 51-95 years). Demographic factors, such as education level, disease duration at initial visit, body mass index, comorbidities, frailty, and leisure activity, and brain imaging features, including severity of medial temporal lobe (MTL) atrophy, white matter lesions and infarcts, and frequency of posterior cerebral hypoperfusion were compared among pre-old (≤ 74 years), old (75 to 84 years), and oldest-old (≥ 85 years) subgroups. RESULTS: The oldest-old subgroup showed significantly longer disease duration, lower education level, more severe frailty, less leisure activity, worse cognitive impairment, a tendency of slower progression of cognitive decline, greater MTL atrophy, more severe white matter hyperintensities and infarcts, and lower frequency of posterior hypoperfusion than the younger age subgroups. Regarding the brain imaging subtypes, there were significantly more patients with the limbic-predominant subtype and fewer patients with the hippocampal-sparing subtype in the oldest-old AD group than the pre-old AD group. CONCLUSIONS: Oldest-old patients with AD show different factors and brain imaging features associated with cognition from pre-old and old patients. Our results are expected to provide useful information towards understanding the pathophysiology of oldest-old patients with AD, and for determining their clinical diagnosis and appropriate management methods.

Metagenomic Thermometer.

Various microorganisms exist in environments, and each of them has its optimal growth temperature (OGT). The relationship between genomic information and OGT of each species has long been studied, and one such study revealed that OGT of prokaryotes can be accurately predicted based on the fraction of seven amino acids (IVYWREL) among all encoded amino-acid sequences in its genome. Extending this discovery, we developed a 'Metagenomic Thermometer' as a means of predicting environmental temperature based on metagenomic sequences. Temperature prediction of diverse environments using publicly available metagenomic data revealed that the Metagenomic Thermometer can predict environmental temperatures with small temperature changes and little influx of microorganisms from other environments. The accuracy of the Metagenomic Thermometer was also confirmed by a demonstration experiment using an artificial hot water canal. The Metagenomic Thermometer was also applied to human gut metagenomic samples, yielding a reasonably accurate value for human body temperature. The result further suggests that deep body temperature determines the dominant lineage of the gut community. Metagenomic Thermometer provides a new insight into temperature-driven community assembly based on amino-acid composition rather than microbial taxa.

Longitudinal patterns of Alzheimer's disease subtypes: A follow-up magnetic resonance imaging and single-photon emission computed tomography study.

AIM: Alzheimer's disease (AD) is a biologically heterogenous disease. In a previous study, we classified 245 patients with probable AD into the typical AD (TAD), limbic-predominant (LP), hippocampal-sparing (HS) and minimal-change (MC) subtypes based on their medial temporal lobe atrophy on magnetic resonance imaging and posterior hypoperfusion on single-photon emission computed tomography, and described differences in clinical features among the patients with different AD subtypes. This study aimed to clarify the longitudinal patterns of changes in patients with the various AD subtypes by follow-up brain imaging analyses. METHODS: Follow-up magnetic resonance imaging or single-photon emission computed tomography data obtained 12-48 months after the first brain imaging were investigated in 79 patients with probable AD, comprising 25 of the TAD subtype, 19 of the LP subtype, 17 of the HS subtype and 18 of the MC subtype. RESULTS: All patients of the TAD subtype remained as the same subtype at follow up. Approximately 37% of patients of the LP subtype and 29% of patients of the HS subtype progressed to the TAD subtype, and 17%, 33% and 6% of the MC subtype progressed to the TAD, LP and HS subtypes, respectively. The group of patients showing subtype progression was associated only with a longer follow-up duration. CONCLUSIONS: There might be different progression patterns and progression rates of changes among the atypical AD subtypes. Further longitudinal brain imaging studies might provide information regarding the pathophysiological association between the various AD subtypes, and might be helpful for determining appropriate therapies and management methods. Geriatr Gerontol Int 2023; 23: 919-924.

Association between longitudinal changes in striatal dopamine transporter uptake and clinical features of dementia with Lewy bodies.

BACKGROUND: It is widely known that there is low striatal 123 I-2ß-Carbomethoxy-3ß-(4-iodophenyl)-N-(3- fluoropropyl) nortropane (123 I-FP-CIT) dopamine transporter single photon emission tomography (DaT-SPECT) uptake in patients with dementia with Lewy bodies (DLB). No studies to date have analyzed the association between longitudinal changes of clinical features and DaT uptake in patients with Parkinson syndrome, particularly those with DLB. The aim of this study was to investigate the association between the longitudinal changes in DaT uptake and the severity of parkinsonism and cognitive function in DLB patients. METHODS: A total of 35 outpatients with probable DLB who underwent DaT-SPECT twice (at the initial examination and the follow-up period) in the Memory Disorder Clinic at the Department of Geriatric Medicine, Tokyo Medical University, were enrolled in this study between April 2014 and September 2020. The correlation between annual changes in DaT uptake and clinical features (cognitive function decline and parkinsonism) of the patients was analyzed. RESULTS: A significant correlation was detected between annual changes in parkinsonism symptom severity and DaT uptake in the left posterior putamen (r = -0.39, P = 0.03), and between Mini-Mental State Examination scores and DaT uptake in all regions except the right posterior putamen (P < 0.05) in patients with DLB. CONCLUSIONS: Our results suggested that the pathway from the ventrolateral tier of the substantia nigra to the putamen might be more crucial for motor function than other pathways, not only in Parkinson's disease but also in DLB.

Early-onset Marfan syndrome with a novel missense mutation: A case report.

Early-onset Marfan syndrome (eoMFS) progresses rapidly, starting during the neonatal period, causes severe clinical disease, and has a poor prognosis. The genetic abnormality associated with eoMFS is located in a so-called critical neonatal region in exons 25-26 of the fibrillin-1 (FBN1) gene. A female neonate was delivered by emergency cesarean section at 37 weeks gestation due to fetal distress with bradycardia, cyanosis, and no spontaneous breathing. On examination, the patient had multiple musculoskeletal deformities, including loose redundant skin, arachnodactyly, flat soles, and joint contractures. Echocardiography showed poor cardiac contractility with multiple valvular abnormalities. She died 13 h after birth. We identified a novel missense variant c.3218A>G (p.Glu1073Gly) in exon 26 of the FBN1 gene by targeted next-generation sequencing. A literature review revealed that arachnodactyly and aortic root dilatation in the fetus are predictive of eoMFS. However, the predictive potential of ultrasonography alone is limited. Genetic testing of the FBN1 gene restriction region associated with short life expectancy and characteristic fetal ultrasound findings could be important for prenatal diagnosis of eoMFS, postnatal management, and parental preparedness. Learning objective: We identified a novel missense mutation located in exons 25-26 of the Fibrillin-1 gene in a neonate with early-onset Marfan syndrome (eoMFS) who died of severe early heart failure shortly after birth. This mutation was located in a narrowly defined critical neonatal region, recently reported to cause eoMFS, and its clinical profile was consistent with early-onset severe heart failure. In addition to ultrasonography, genetic analysis of this region is important for predicting prognosis in eoMFS.

EVI1 exerts distinct roles in AML via ERG and cyclin D1 promoting a chemoresistant and immune-suppressive environment.

Aberrant expression of ecotropic viral integration site-1 (EVI1+) is associated with very poor outcomes in acute myeloid leukemia (AML), mechanisms of which are only partially understood. Using the green fluorescent protein reporter system to monitor EVI1 promoter activity, we demonstrated that Evi1high KMT2A-MLLT1-transformed AML cells possess distinct features from Evi1low cells: the potential for aggressive disease independent of stem cell activity and resistance to cytotoxic chemotherapy, along with the consistent gene expression profiles. RNA sequencing and chromatin immunoprecipitation sequencing in EVI1-transformed AML cells and normal hematopoietic cells combined with functional screening by cell proliferation-related short hairpin RNAs revealed that the erythroblast transformation-specific transcription factor ERG (E26 transformation-specific [ETS]-related gene) and cyclin D1 were downstream targets and therapeutic vulnerabilities of EVI1+ AML. Silencing Erg in murine EVI1+ AML models severely impaired cell proliferation, chemoresistance, and leukemogenic capacity. Cyclin D1 is also requisite for efficient EVI1-AML development, associated with gene expression profiles related to chemokine production and interferon signature, and T- and natural killer-cell exhaustion phenotype, depending on the interferon gamma (IFN-γ)/STAT1 pathway but not on CDK4/CDK6. Inhibiting the IFN-γ/STAT1 pathway alleviated immune exhaustion and impaired EVI1-AML development. Overexpression of EVI1 and cyclin D1 was associated with IFN-γ signature and increased expression of chemokines, with increased exhaustion molecules in T cells also in human AML data sets. These data collectively suggest that ERG and cyclin D1 play pivotal roles in the biology of EVI1+ AML, where ERG contributes to aggressive disease nature and chemoresistance, and cyclin D1 leads to IFN-γ signature and exhausted T-cell phenotypes, which could potentially be targeted.

Mechanism of KIT gene regulation by GATA1 lacking the N-terminal domain in Down syndrome-related myeloid disorders.

Children with Down syndrome (DS) are at high risk of transient abnormal myelopoiesis (TAM) and myeloid leukemia of DS (ML-DS). GATA1 mutations are detected in almost all TAM and ML-DS samples, with exclusive expression of short GATA1 protein (GATA1s) lacking the N-terminal domain (NTD). However, it remains to be clarified how GATA1s is involved with both disorders. Here, we established the K562 GATA1s (K562-G1s) clones expressing only GATA1s by CRISPR/Cas9 genome editing. The K562-G1s clones expressed KIT at significantly higher levels compared to the wild type of K562 (K562-WT). Chromatin immunoprecipitation studies identified the GATA1-bound regulatory sites upstream of KIT in K562-WT, K562-G1s clones and two ML-DS cell lines; KPAM1 and CMK11-5. Sonication-based chromosome conformation capture (3C) assay demonstrated that in K562-WT, the - 87 kb enhancer region of KIT was proximal to the - 115 kb, - 109 kb and + 1 kb region, while in a K562-G1s clone, CMK11-5 and primary TAM cells, the - 87 kb region was more proximal to the KIT transcriptional start site. These results suggest that the NTD of GATA1 is essential for proper genomic conformation and regulation of KIT gene expression, and that perturbation of this function might be involved in the pathogenesis of TAM and ML-DS.

Biomarkers associated with coronary high-risk plaques.

Vascular inflammation, lipid metabolism, and thrombogenicity play a key role not only in atherogenesis but also in the development of acute coronary syndromes. Biomarkers associated with coronary high-risk plaques defined according to intravascular imaging have not been systematically studied. A total of 69 patients with coronary artery disease who underwent both optical coherence tomography and intravascular ultrasound imaging, and who provided blood specimens were included. Comprehensive biomarkers for inflammation, lipid, and coagulation were analyzed. Composite models sought biomarker patterns associated with thin-cap fibroatheroma (TCFA) and "high-risk plaques" (TCFA and large plaque burden). Two different composite models were developed for TCFA, based on the finding that high sensitivity C-reactive protein (hsCRP), plasminogen activator inhibitor-1, fibrinogen, IL-6, homocysteine and amyloid A levels were elevated, and high-density lipoprotein cholesterol (HDL) and bile acid levels were decreased in these patients. Both composite models were highly accurate for detecting patients with TCFA (area under curve [AUC]: 0.883 in model-A and 0.875 in model-B, both p < 0.001). In addition, creatinine, hsCRP, fibrinogen, tumor necrosis factor-α, IL-6, homocysteine, amyloid A, HDL, prothrombin, and bile acid were useful for detecting patients with "high-risk plaques". Two composite models were highly accurate for detection of patients with "high-risk plaques" (AUC: 0.925 in model-A and 0.947 in model-B, both p < 0.001). Biomarkers useful for detection of patients with high-risk coronary plaques defined according to intravascular imaging have been identified. These biomarkers may be useful to risk stratify patients and to develop targeted therapy.Clinical Trial Registration https://www.umin.ac.jp/ctr/ , UMIN000041692. Biomarkers and high-risk plaques hsCRP, PAI-1, fibrinogen, IL-6, homocysteine, amyloid A, HDL, and bile acid were useful for detecting patients with TCFA. hsCRP, fibrinogen, IL-6, homocysteine, amyloid A, creatinine, TNFα, HDL, prothrombin, and bile acid were useful for detecting patients with "high-risk plaques" (plaque which has both TCFA and large plaque burden). White arrowhead denotes TCFA. Red and green dashed lines denote lumen area and external elastic membrane area, respectively.

Associations of depressive symptoms with white matter abnormalities and regional cerebral blood flow in patients with amnestic mild cognitive impairment.

AIM: Depressive symptoms are one of the most common neuropsychiatric symptoms in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD), although the pathophysiologies of the depressive symptoms that occur in these diseases have not been elucidated to date. In this study, we therefore investigated the associations between depressive symptoms and cognitive performance, white matter abnormalities, and regional cerebral blood flow (rCBF) in amnestic MCI patients. METHODS: Thirty-eight patients with amnestic MCI were analyzed. The volumes of periventricular hyperintensities (PVH) and deep white matter hyperintensities (DWMH) were measured on T2-fluid-attenuated inversion recovery magnetic resonance imaging using the imaging software 3D-slicer. Associations between the Geriatric Depression Scale (GDS) score and other neuropsychological test scores on the one hand and the PVH and DWMH volumes on the other were analyzed. Voxel-wise correlations of rCBF with GDS score, after controlling for the effects of age, were investigated using SPM8 software. RESULTS: Significant correlations were identified between GDS score, Trail Making Test B and apathy scale scores on the one hand and PVH volume on the other. A significant negative association between GDS score and rCBF was identified in the right dominant bilateral dorsolateral prefrontal cortex (DLPFC). CONCLUSIONS: Depressive symptoms are significantly associated with PVH volume in MCI patients. The rCBF of the DLPFC was significantly associated with depressive symptoms, suggesting that this area might be closely involved in the pathogenesis of the depressive symptoms observed in MCI patients. Geriatr Gerontol Int 2022; 22: 846-850.