Jin-Tai Yu’s research while affiliated with Fudan University and other places

Background Systemic factors confound blood tests for the diagnosis of Alzheimer disease (AD). The Delta study explored whether blood biomarkers from the vein proximal to the brain perform better in detecting cerebral AD pathologies. Methods Blood was collected from the internal jugular vein (IJV) and median cubital vein (MCV) in the discovery (n=371) and validation (n=92) cohorts. AD biomarkers were measured with Lumipulse G and Simoa methods. Aβ and tau PET imaging and cerebrospinal fluid (CSF) biomarkers were used to evaluate brain pathologies. Results The levels of Aβ42, Aβ40, p-tau217, p-tau181, GFAP and NfL were higher in the IJV than MCV and highly correlated between the two sites. IJV-Aβ42/40 had stronger correlations with Aβ PET Centiloids and tau PET meta-temporal SUVR than MCV-Aβ42/40. In detecting cerebral Aβ positivity, IJV-Aβ42/40 demonstrated a significantly higher accuracy (79.9% to 92.9% vs. 72.4% to 88.8%) and a lower percentage of uncertain individuals (17.8% to 54.5% vs. 31.3% to 70.1%) than MCV-Aβ42/40. Moreover, the diagnostic accuracy of Lumipulse G IJV-Aβ42/40 (88.2% to 92.9%) was statistically equivalent to that of MCV-p-tau217 (90.2% to 94.3%), although the intermediate percentage of IJV-Aβ42/40 was higher (17.8% to 34.0% vs. 0.7% to 17.5%) than MCV-p-tau217. These findings were verified in the validation cohort. Discussion IJV-Aβ42/40 performs better than MCV-Aβ42/40 in detecting cerebral AD pathologies, offering a novel perspective to reduce the impacts of systemic factors and comorbidities on blood tests.

While increasing peripheral mechanisms related to chronic pain, the plasma proteomics profile associated with it and its prognosis remains elusive. This study utilizes 2923 plasma proteins and chronic pain of 51 644 participants from UK Biobank and finds 474 proteins linked to chronic pain in six sites: head, neck or shoulder, back, stomach or abdominal, hip, and knee, with 11 proteins sharing across pain sites. The identified proteins are largely enriched in immune and metabolic pathways and highly expressed in tissues like lungs and small intestines. Phenome‐wide analysis highlights the significance of pain‐related proteome on diverse facets of human health, and in‐depth Mendelian randomization validates 10 proteins (CD302, RARRES2, TNFRSF1B, BTN2A1, TNFRSF9, COL18A1, TNF, CD74, TNFRSF4, and BTN2A1) as markers of chronic pain. Furthermore, protein sets capable of classifying pain patients and healthy participants, particularly performing best in hip pain (area under curve, AUC = 0.725), are identified. Interestingly, the prediction of pain spreading over ten years achieves an AUC of 0.715, with leptin identified as a crucial predictor. This study delineates proteins associated with various pain conditions and identifies proteins capable of classifying pain and predicting pain spreading, offering benefits for both research and clinical practice.

General paresis is a rare type of syphilis characterized by progressive cognitive impairment and psychiatric syndromes. It is often misdiagnosed because of its rarity and similarity with other diseases. We aimed to comprehensively investigate the clinical, radiological, pathological, and prognostic features of general paresis, and compare it with other dementias. Between August 2019 and January 2024, patients were recruited from a Memory Clinic Setting of National Center for Neurological Disorders in China. Participants underwent clinical evaluation, laboratory testing, and imaging, and were followed after treatment. Comparative analysis was conducted on clinical features and neuropsychiatric assessments, while brain image features were investigated using linear regression models and SuStaIn models. Seventy-eight patients were included, with 90% being male. The median duration from symptom onset to the first diagnostic visit was 15 months. Sixty-three patients were followed for an average of 1.4 years. Cognitive impairment emerged as the most common symptom, with half of the patients co-existed with motor symptoms. Impairment across all cognitive domains accompanied by positive psychiatric symptoms raised suspicion for general paresis, and distinguishing it from Alzheimer’s disease, frontotemporal dementia, and anti-LGI1 encephalitis-related dementia. Common imaging abnormalities in general paresis included whole brain atrophy and cortical hypointensity. The hippocampal-predominant and hippocampal-sparing atrophy subtypes were identified. Autoimmune responses in general paresis were demonstrated through the detection of autoimmune encephalitis antibodies in 11% of patients. Pathological amyloid changes were observed in 26% of patients, while elevated total tau levels were found in 30%. Seventy percent of patients showed improvement following treatment, with a reduction in the number of symptoms observed across all cases. This study identifies specific clinical syndromes and radiological features of general paresis and refines the understanding of its prognosis. We provide clues to distinguish general paresis from other dementias, facilitating early diagnosis and treatment. The role of novel pathological changes in general paresis needs to be further studied.

Neuronal accumulation and spread of pathological α-synuclein (α-syn) fibrils are key events in Parkinson's disease (PD) pathophysiology. However, the neuronal mechanisms underlying the uptake of α-syn fibrils remain unclear. In this work, we identified FAM171A2 as a PD risk gene that affects α-syn aggregation. Overexpressing FAM171A2 promotes α-syn fibril endocytosis and exacerbates the spread and neurotoxicity of α-syn pathology. Neuronal-specific knockdown of FAM171A2 expression shows protective effects. Mechanistically, the FAM171A2 extracellular domain 1 interacts with the α-syn C terminus through electrostatic forces, with >1000 times more selective for fibrils. Furthermore, we identified bemcentinib as an effective blocker of FAM171A2–α-syn fibril interaction with an in vitro binding assay, in cellular models, and in mice. Our findings identified FAM171A2 as a potential receptor for the neuronal uptake of α-syn fibrils and, thus, as a therapeutic target against PD.

The early pathophysiology of Parkinson’s disease (PD) is poorly understood. We analyzed 2,920 Olink-measured plasma proteins in 51,804 UK Biobank participants, identifying 859 incident PD cases after 14.45 years. We found 38 PD-related proteins, with six of the top ten validated in the Parkinson’s Progression Markers Initiative (PPMI) cohort. ITGAV, HNMT and ITGAM showed consistent significant association (hazard ratio: 0.11–0.57, P = 6.90 × 10⁻²⁴ to 2.10 × 10⁻¹¹). Lipid metabolism dysfunction was evident 15 years before PD onset, and levels of BAG3, HPGDS, ITGAV and PEPD continuously decreased before diagnosis. These proteins were linked to prodromal symptoms and brain measures. Mendelian randomization suggested ITGAM and EGFR as potential causes of PD. A predictive model using machine learning combined the top 16 proteins and demographics, achieving high accuracy for 5-year (area under the curve (AUC) = 0.887) and over-5-year PD prediction (AUC = 0.816), outperforming demographic-only models. It was externally validated in PPMI (AUC = 0.802). Our findings reveal early peripheral pathophysiological changes in PD crucial for developing early biomarkers and precision therapies.

Background The International Working Group (IWG) recently proposed the revised diagnostic criteria for Alzheimer’s disease (AD) to define and refine several types of AD, and to reclassify AD-related biomarkers into diagnostic and progression markers, but its performance is not known. Objective This study was designed to describe the application of the revised IWG criteria in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset, and to ascertain whether diagnostic and progression markers show significant differences in their relationships to AD severity and progression. Methods Based on the requirements of the refined criteria, 857 ADNI subjects with memory evaluation and at least one pathophysiological marker (CSF or amyloid imaging biomarkers) were eligible and reclassified in this study, and we calculated the associations of diagnostic (CSF and amyloid PET) and progression markers (MRI and fluorodeoxyglucose-PET) with AD severity and progression respectively. Results The majority (84.2% ) of ADNI AD group (n = 117) and 173 MCI (37.4% ) subjects in ADNI met the definition of typical AD; and 105 cognitively normal (41.0% ) individuals were diagnosed as asymptomatic AD. Furthermore, diagnostic and progression markers showed significant differences when correlated to AD severity and progression. Conclusion A large proportion of AD dementia subjects were categorized as typical AD, and the revised criteria could identify typical AD from MCI status as well as asymptomatic AD at the asymptomatic stage. Moreover, the significant differences between diagnostic and progression markers further supported the new biomarkers categorization in the refined criteria.

Frontotemporal lobar degeneration (FTLD) is a clinically heterogeneous neurodegenerative disease with a strong genetic component. In this review, we summarize most common mutations in MAPT, GRN, and C90RF72, as well as less common mutations in VCP, CHMP2B, TARDBP, FUS gene and so on. Several guidelines have been developed to help gene testing based on genotype–phenotype correlation, the underlying histopathological subtypes, and the neuroanatomic associations. Furthermore, we also summarize molecular pathways implicated by genes and novel targets for FTLD prevention and management in recent years.

Background: Cognitive decline and the progression to Alzheimer's disease (AD) are traditionally associated with amyloid-beta (Aβ) and tau pathologies. This study aims to evaluate the relationships between microstructural white matter injury, cognitive decline and AD core biomarkers. Methods: We conducted a longitudinal study of 566 participants using peak width of skeletonized mean diffusivity (PSMD) to quantify microstructural white matter injury. The associations of PSMD with changes in cognitive functions, AD pathologies (Aβ, tau, and neurodegeneration), and volumes of AD-signature regions of interest (ROI) or hippocampus were estimated. The associations between PSMD and the incidences of clinical progression were also tested. Covariates included age, sex, education, apolipoprotein E4 status, smoking, and hypertension. Results: Higher PSMD was associated with greater cognitive decline (β=-0.012, P < 0.001 for Mini-Mental State Examination score; β<0, P < 0.05 for four cognitive domains) and a higher risk of clinical progression from normal cognition to mild cognitive impairment (MCI) or AD (Hazard ratio=2.11 [1.38-3.23], P < 0.001). These associations persisted independently of amyloid status. PSMD did not predict changes in Aβ or tau levels, but predicted changes in volumes of AD-signature ROI (β=-0.003, P < 0.001) or hippocampus (β=-0.002, P = 0.010). Besides, the whole-brain PSMD could predict cognitive decline better than regional PSMDs. Conclusions: PSMD may be a valuable biomarker for predicting cognitive decline and clinical progression to MCI and AD, providing insights besides traditional Aβ and tau pathways. Further research could elucidate its role in clinical assessments and therapeutic strategies.

Brain glymphatic activity, as indicated by diffusion-tensor imaging analysis along the perivascular space (ALPS) index, is involved in developmental neuropsychiatric and neurodegenerative diseases, but its genetic architecture is poorly understood. Here, we identified 17 unique genome-wide significant loci and 161 candidate genes linked to the ALPS-indexes in a discovery sample of 31,021 individuals from the UK Biobank. Seven loci were replicated in two independent datasets. Genetic signals located at the 2p23.3 locus yielded significantly concordant effects in both young and aging cohorts. Genetic correlation and polygenic overlap analyses indicate a common underlying genetic mechanism between the ALPS-index, ventricular volumes, and cerebrospinal fluid tau levels, with GMNC (3q28) and C16orf95 (16q24.2) as the shared genetic basis. Our findings enhance the understanding of the genetics of the ALPS-index and provide insight for further research into the neurobiological mechanisms of glymphatic clearance activity across the lifespan and its relation to neuropsychiatric phenotypes.