Literature DB >> 24346218

Accuracy of urinary AD7c-NTP for diagnosing Alzheimer's disease: a systematic review and meta-analysis.

Jian Zhang1, Chun-Hua Zhang2, Rong-Jie Li3, Xiao-Li Lin1, Ying-Dao Chen1, Huai-Qing Gao1, Sheng-Liang Shi1.   

Abstract

BACKGROUND: Alzheimer-associated neuronal thread protein (AD7c-NTP) has been reported to have high diagnostic accuracy in patients with Alzheimer's disease (AD).
OBJECTIVE: To determine the diagnostic accuracy of urinary AD7c-NTP for the diagnosis of AD in patients with suspected AD.
METHODS: We searched MEDLINE (January 1950 to date) and other electronic databases (from inception to date) for diagnostic accuracy studies that compared urinary AD7c-NTP to the standard clinical diagnosis of AD. We conducted citation searches and screened the reference lists of included studies. Studies were assessed for methodological quality using QUADAS. Summary receiver operating characteristic curves were used to summarize overall test performance. RESULT: Nine studies met our inclusion criteria. The summary estimates of the urinary AD7c-NTP assay for probable or possible AD were as follows: SEN, 0.87 (95%CI: 0.80-0.91); SPE, 0.89 (95%CI: 0.87-0.91); PLR, 8.13 (95% CI: 6.60-10.02); and NLR, 0.15 (95% CI: 0.10-0.22). The four summary estimates of urinary AD7c-NTP assay for probable AD were 0.89 (95% CI: 0.86-0.92), 0.90 (95% CI: 0.88-0.92), 8.88 (95% CI: 7.09-11.12), and 0.12 (95% CI: 0.09-0.16), with no obvious heterogeneity.
CONCLUSION: Urinary AD7c-NTP is a sensitive and specific test for the diagnosis of probable AD. However, whether urinary AD7c-NTP can be used as an early marker is still unknown.

Entities:  

Keywords:  AD7c-NTP; Alzheimer's disease; biomarker; meta-analysis; urine

Mesh:

Substances:

Year:  2014        PMID: 24346218     DOI: 10.3233/JAD-131445

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  7 in total

1.  Development of a Novel Urine Alzheimer-Associated Neuronal Thread Protein ELISA Kit and Its Potential Use in the Diagnosis of Alzheimer's Disease.

Authors:  Lina Ma; Rong Wang; Ying Han; Shuli Sheng; Jianan Zhu; Zhijuan Ji; Zhiwei Zhao; Ziqing Cao; Peichang Wang
Journal:  J Clin Lab Anal       Date:  2015-06-03       Impact factor: 2.352

Review 2.  Central and Peripheral Metabolic Defects Contribute to the Pathogenesis of Alzheimer's Disease: Targeting Mitochondria for Diagnosis and Prevention.

Authors:  Yunhua Peng; Peipei Gao; Le Shi; Lei Chen; Jiankang Liu; Jiangang Long
Journal:  Antioxid Redox Signal       Date:  2020-03-16       Impact factor: 8.401

Review 3.  Neurobiological Highlights of Cognitive Impairment in Psychiatric Disorders.

Authors:  Anna Morozova; Yana Zorkina; Olga Abramova; Olga Pavlova; Konstantin Pavlov; Kristina Soloveva; Maria Volkova; Polina Alekseeva; Alisa Andryshchenko; Georgiy Kostyuk; Olga Gurina; Vladimir Chekhonin
Journal:  Int J Mol Sci       Date:  2022-01-22       Impact factor: 5.923

4.  Urine AD7c-NTP Predicts Amyloid Deposition and Symptom of Agitation in Patients with Alzheimer's Disease and Mild Cognitive Impairment.

Authors:  Nan Zhang; Liling Zhang; Yan Li; Marc L Gordon; Li Cai; Ying Wang; Mengya Xing; Yan Cheng
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

5.  The association between urinary Alzheimer-associated neuronal thread protein and cognitive impairment in late-life depression: a controlled pilot study.

Authors:  Qing-E Zhang; Sihai Ling; Peng Li; Saina Zhang; Chee H Ng; Gabor S Ungvari; Liang-Jen Wang; Sheng-Yu Lee; Gang Wang; Yu-Tao Xiang
Journal:  Int J Biol Sci       Date:  2018-08-10       Impact factor: 6.580

6.  Sino Longitudinal Study on Cognitive Decline (SILCODE): protocol for a Chinese longitudinal observational study to develop risk prediction models of conversion to mild cognitive impairment in individuals with subjective cognitive decline.

Authors:  Xuanyu Li; Xiaoni Wang; Li Su; Xiaochen Hu; Ying Han
Journal:  BMJ Open       Date:  2019-07-26       Impact factor: 2.692

Review 7.  The China Alzheimer Report 2022.

Authors:  Rujing Ren; Jinlei Qi; Shaohui Lin; Xinya Liu; Peng Yin; Zhihui Wang; Ran Tang; Jintao Wang; Qiang Huang; Jianping Li; Xinyi Xie; Yongbo Hu; Shishuang Cui; Yuan Zhu; Xiaoping Yu; Pengfei Wang; Yikang Zhu; Yiran Wang; Yanyan Huang; Yisong Hu; Ying Wang; Chunbo Li; Maigeng Zhou; Gang Wang
Journal:  Gen Psychiatr       Date:  2022-03-11
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.