A novel SETD2 variant causing global development delay without overgrowth in a Chinese 3-year-old boy

Background: Luscan-Lumish syndrome is characterized by macrocephaly, postnatal overgrowth, intellectual disability (ID), developmental delay (DD), which is caused by heterozygous SETD2 (SET domain containing 2) mutations. The incidence of Luscan-Lumish syndrome is unclear. The study was conducted to provide a novel pathogenic SETD2 variant causing atypical Luscan-Lumish syndrome and review all the published SETD2 mutations and corresponding symptoms, comprehensively understanding the phenotypes and genotypes of SETD2 mutations.Methods: Peripheral blood samples of the proband and his parents were collected for next-generation sequencing including whole-exome sequencing (WES), copy number variation (CNV) detection and mitochondrial DNA sequencing. Identified variant was verified by Sanger sequencing. Conservative analysis and structural analysis were performed to investigate the effect of mutation. Public databases such as PubMed, Clinvar and Human Gene Mutation Database (HGMD) were used to collect all cases with SETD2 mutations.Results: A novel pathogenic SETD2 variant (c.5835_c.5836insAGAA, p. A1946Rfs*2) was identified in a Chinese 3-year-old boy, who had speech and motor delay without overgrowth. Conservative analysis and structural analysis showed that the novel pathogenic variant would loss the conserved domains in the C-terminal region and result in loss of function of SETD2 protein. Frameshift mutations and non-sense mutations account for 68.5% of the total 51 SETD2 point mutations, suggesting that Luscan-Lumish syndrome is likely due to loss of function of SETD2. But we failed to find an association between genotype and phenotype of SETD2 mutations.Conclusion: Our findings expand the genotype-phenotype knowledge of SETD2-associated neurological disorder and provide new evidence for further genetic counselling

SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition

Recent advancements in language models have significantly enhanced performance in multiple speech-related tasks. Existing speech language models typically utilize task-dependent prompt tokens to unify various speech tasks in a single model. However, this design omits the intrinsic connections between different speech tasks, which can potentially boost the performance of each task. In this work, we propose a novel decoder-only speech language model, SpeechComposer, that can unify common speech tasks by composing a fixed set of prompt tokens. Built upon four primary tasks -- speech synthesis, speech recognition, speech language modeling, and text language modeling -- SpeechComposer can easily extend to more speech tasks via compositions of well-designed prompt tokens, like voice conversion and speech enhancement. The unification of prompt tokens also makes it possible for knowledge sharing among different speech tasks in a more structured manner. Experimental results demonstrate that our proposed SpeechComposer can improve the performance of both primary tasks and composite tasks, showing the effectiveness of the shared prompt tokens. Remarkably, the unified decoder-only model achieves a comparable and even better performance than the baselines which are expert models designed for single tasks.Comment: 11 pages, 2 figure

Aristolochic acid induces acute kidney injury through ferroptosis

Aristolochic acid (AA)-induced acute kidney injury (AKI) presents with progressive decline in renal function and rapid progression to end-stage renal disease. Among the multiple mechanisms identified in AKI, ferroptosis has been shown to be involved in various forms of AKI. But few studies have elucidated the role of ferroptosis in AA-induced AKI. In this study, we investigated the role of ferroptosis in AA-induced acute renal tubular injury in vivo and in vitro. Mice with acute aristolochic acid nephropathy showed increased malondialdehyde levels, aggravated lipid peroxidation, decreased superoxide dismutase activity, and glutathione depletion. The expression of glutathione peroxidase 4 was decreased and the expression of acyl-CoA synthetase long-chain family member 4 was increased. Inhibition of ferroptosis by ferrostatin-1 significantly improved the renal function, reduced histopathological lesions, partially alleviated lipid peroxidation, and restored the antioxidant capacity. In vitro studies also revealed that AA significantly reduced cell viability, induced reactive oxygen species production, increased intracellular iron level and decreased ferroptosis-related protein expression. Inhibition of ferroptosis significantly increased cell viability and attenuated AA-induced renal tubular epithelial cell injury. It is suggested that ferroptosis plays an important role in AA-induced acute tubular injury. And inhibition of ferroptosis may exert renoprotective effects possibly by preventing lipid peroxidation, restoring the antioxidant activity or regulating iron metabolism

Study of metabolic association between elevated fasting blood glucose and cognitive deterioration

Objective·To analyze and explore the influencing factors that lead to cognitive deterioration in individuals with elevated fasting blood glucose (FBG) and the metabolic clues associated with changes in the risk of cognitive deterioration.Methods·Data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were downloaded, and the samples with FBG and follow-up data were selected from the database. Clinical information, including age, gender, body mass index, education years, apolipoprotein E4 (APOE4) genotype and race, and corresponding metabolic indicator data, including amino acids, fatty acids, proteins and others were obtained. Based on the FBG levels and diagnosis of cognitive impairment stages in Alzheimer's disease, the subjects were categorized into four groups: normal FBG without/with cognitive deterioration, and elevated FBG without/with cognitive deterioration. The univariate analysis method, the Cox proportional hazards model, orthogonal projections to latent structures discriminant analysis (OPLSDA), and Spearman correlation analysis were employed for data analysis.Results·A total of 1 317 subjects were included, among which 1 153 had normal FBG level (>3.9 mmol/L and <6.1 mmol/L) and 164 had elevated FBG level (≥6.1 mmol/L). In the normal FBG group, 275 subjects showed cognitive deterioration, while in the elevated FBG group, 53 subjects showed cognitive deterioration. Univariate analysis revealed significant differences in gender and race between the normal FBG and elevated FBG group, and significant differences in age, gender, and APOE4 genotype between the groups with and without cognitive deterioration (all P<0.05). Cox regression analysis indicated that primary influencing factors for cognitive deterioration were APOE4 positivity, elevated FBG, and increasing age in order (HR=2.22,HR=1.38,HR=1.02; all P<0.05). In the analysis of baseline metabolic indicators in the groups without and with cognitive deterioration, as well as metabolic indicators before and after cognitive deterioration at different FBG levels, the results of the analysis of variance revealed that in the cognitively deteriorated population, the ratio of phospholipids carried by high-density lipoproteins (HDL) to total lipids was significantly higher; low-density lipoprotein (LDL) particle concentration and the lipids carried by LDL were significantly higher after cognitive deterioration. Correlation analysis showed that valine and leucine were significantly correlated not only with FBG level but also with phosphorylated tau (pTau) level in the plasma in the cognitively deteriorated population. Cholesterol and the ratio of phospholipids to total lipids carried by HDL were significantly correlated with pTau levels in cerebrospinal fluid (CSF).Conclusion·Compared to the individuals with normal FBG level, those with high FBG level have a significantly higher risk of cognitive deterioration. Additionally, different metabolic indicators show significant differences between the groups without and with cognitive deterioration, as well as metabolic indicators before and after cognitive deterioration at different FBG levels. Overall, LDL and its lipid content, and HDL-carried phospholipids show an increasing trend during cognitive deterioration, and the branched-chain amino acids valine and leucine are significantly correlated with pTau levels in CSF and plasma, suggesting that these metabolic markers may play an important role in cognitive deterioration

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Raman scattering is an inelastic light scattering that occurs in a manner reflective of the molecular vibrations of molecular structures and chemical conditions in a given sample of interest. Energy changes in the scattered light can be assessed to determine the vibration mode and associated molecular and chemical conditions within the sample, providing a molecular fingerprint suitable for sample identification and characterization. Raman spectroscopy represents a particularly promising approach to the molecular analysis of many diseases owing to clinical advantages including its instantaneous nature and associated high degree of stability, as well as its ability to yield signal outputs corresponding to a single molecule type without any interference from other molecules as a result of its narrow peak width. This technology is thus ideally suited to the simultaneous assessment of multiple analytes. Neurodegenerative diseases represent an increasingly significant threat to global public health owing to progressive population aging, imposing a severe physical and social burden on affected patients who tend to develop cognitive and/or motor deficits beginning between the ages of 50 and 70. Owing to a relatively limited understanding of the etiological basis for these diseases, treatments are lacking for the most common neurodegenerative diseases, which include Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis. The present review was formulated with the goal of briefly explaining the principle of Raman spectroscopy and discussing its potential applications in the diagnosis and evaluation of neurodegenerative diseases, with a particular emphasis on the research prospects of this novel technological platform