Development and validation of a nutrition-related genetic-clinical-radiological nomogram associated with behavioral and psychological symptoms in Alzheimer’s disease

Background:Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia(BPSD)in Alzheimer’s disease(AD).This study aimed to develop and validate a novel genetic-clinical-radiological nomogram for evaluating BPSD in patients with AD and explore its underlying nutritional mechanism.Methods:This retrospective study included 165 patients with AD from the Chinese Imaging,Biomarkers,and Lifestyle(CIBL)cohort between June 1,2021,and March 31,2022.Data on demographics,neuropsychological assessments,single-nucleotide polymorphisms of AD risk genes,and regional brain volumes were collected.A multivariate logistic regression model identified BPSD-associated factors,for subsequently constructing a diagnostic nomogram.This nomogram was internally validated through 1000-bootstrap resampling and externally validated using a time-series split based on the CIBL cohort data between June 1,2022,and February 1,2023.Area under receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA)were used to assess the discrimination,calibration,and clinical applicability of the nomogram.Results:Factors independently associated with BPSD were:CETP rs1800775(odds ratio[OR]=4.137,95%confidence interval[CI]:1.276-13.415,P=0.018),decreased Mini Nutritional Assessment score(OR=0.187,95%CI:0.086-0.405,P<0.001),increased caregiver burden inventory score(OR=8.993,95%CI:3.830-21.119,P<0.001),and decreased brain stem volume(OR=0.006,95%CI:0.001-0.191,P=0.004).These variables were incorporated into the nomogram.The area under the ROC curve was 0.925(95%CI:0.884-0.967,P<0.001)in the internal validation and 0.791(95%CI:0.686-0.895,P<0.001)in the external validation.The calibration plots showed favorable consistency between the prediction of nomogram and actual observations,and the DCA showed that the model was clinically useful in both validations.Conclusion:A novel nomogram was established and validated based on lipid metabolism-related genes,nutritional status,and brain stem volumes,which may allow patients with AD to benefit from early triage and more intensive monitoring of BPSD.Registration:Chictr.org.cn,ChiCTR2100049131.

DeepWMH:无需人工标注训练的脑白质高信号病灶分割工具

White matter hyperintensities(WMHs)on fluid-attenuated inversion recovery(FLAIR)images are imaging features in various neurological diseases and essential markers for clinical impairment and disease progression.WMHs are associated with brain aging and pathological changes in the human brain,such as in Alzheimer’s disease(AD)[1],Parkinson’s disease(PD)[2],cerebral small vessel disease(SVD)[3],multiple sclerosis(MS)[4].

Altered small-world,functional brain networks in patients with lower back pain

In this study, we aimed to investigate the functional network changes that occur in patients with lower back pain(LBP). We also investigated the link between LBP and the small-world properties of functional networks within the brain. Functional MRI(fMRI) was performed on 20 individuals with LBP and 17 age and gender-matched normal controls during the resting state. The severity of the pain in the individuals with LBP ranged from 5 to 8 on a 0–10 scale, with 0 indicating no pain. Network-based statistics were performed to investigate the differences between the brain networks of individuals with LBP and those of normal controls. Several small-world parameters of brain networks were calculated, including the clustering coefficient, characteristic path length, local efficiency, and global efficiency. These criteria reflect the overall network efficiency. The brain networks in the individuals with LBP due to herniation of a lumbar disc demonstrated a significantly longer characteristic path length as well as a lower clustering coefficient, global efficiency, and local efficiency compared to those in control subjects. We found that LBP patients tended to have unstable and inefficient brain networks when compared with healthy controls. In addition, LBP individuals showed significantly decreased functional connectivity in the anterior cingulate cortex, middle cingulate cortex, post cingulate cortex, inferior frontal gyrus, middle temporal gyrus, occipital gyrus, postcentral gyrus, precentral gyrus, supplementary motor area, thalamus, fusiform, caudate, and cerebellum. We believe that these regions may be involved in the pathophysiology of lower back pain.