Literature DB >> 29350601

Brain tissue Aβ42 levels are linked to shunt response in idiopathic normal pressure hydrocephalus.

Sami Abu Hamdeh1, Johan Virhammar2, Dag Sehlin3, Irina Alafuzoff4, Kristina Giuliana Cesarini1, Niklas Marklund1.   

Abstract

OBJECTIVE: The authors conducted a study to test if the cortical brain tissue levels of soluble amyloid beta (Aβ) reflect the propensity of cortical Aβ aggregate formation and may be an additional factor predicting surgical outcome following idiopathic normal pressure hydrocephalus (iNPH) treatment.
METHODS: Highly selective ELISAs (enzyme-linked immunosorbent assays) were used to quantify soluble Aβ40, Aβ42, and neurotoxic Aβ oligomers/protofibrils, associated with Aβ aggregation, in cortical biopsy samples obtained in patients with iNPH (n = 20), sampled during ventriculoperitoneal (VP) shunt surgery. Patients underwent pre- and postoperative (3-month) clinical assessment with a modified iNPH scale. The preoperative CSF biomarkers and the levels of soluble and insoluble Aβ species in cortical biopsy samples were analyzed for their association with a favorable outcome following the VP shunt procedure, defined as a ≥ 5-point increase in the iNPH scale.
RESULTS: The brain tissue levels of Aβ42 were negatively correlated with CSF Aβ42 (Spearman’s r = -0.53, p < 0.05). The Aβ40, Aβ42, and Aβ oligomer/protofibril levels in cortical biopsy samples were higher in patients with insoluble cortical Aβ aggregates (p < 0.05). The preoperative CSF Aβ42 levels were similar in patients responding (n = 11) and not responding (n = 9) to VP shunt treatment at 3 months postsurgery. In contrast, the presence of cortical Aβ aggregates and high brain tissue Aβ42 levels were associated with a poor outcome following VP shunt treatment (p < 0.05).
CONCLUSIONS: Brain tissue measurements of soluble Aβ species are feasible. Since high Aβ42 levels in cortical biopsy samples obtained in patients with iNPH indicated a poor surgical outcome, tissue levels of Aβ species may be associated with the clinical response to shunt treatment.

Entities:  

Keywords:  AD = Alzheimer’s disease; Alzheimer’s disease; Aβ = amyloid beta; Aβ oligomers; ELISA = enzyme-linked immunosorbent assay; HPtau = hyperphosphorylated tau protein; LOD = limit of detection; LP = lumboperitoneal; MMSE = Mini-Mental State Examination; VP = ventriculoperitoneal; amyloid-β; hydrocephalus; iNPH; iNPH = idiopathic normal pressure hydrocephalus

Mesh:

Substances:

Year:  2018        PMID: 29350601     DOI: 10.3171/2017.7.JNS171005

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  11 in total

1.  Dynamic functional networks in idiopathic normal pressure hydrocephalus: Alterations and reversibility by CSF tap test.

Authors:  Alessandra Griffa; Giulia Bommarito; Frédéric Assal; François R Herrmann; Dimitri Van De Ville; Gilles Allali
Journal:  Hum Brain Mapp       Date:  2020-12-09       Impact factor: 5.038

2.  Alzheimer's disease neuropathological change and loss of matrix/neuropil in patients with idiopathic Normal Pressure Hydrocephalus, a model of Alzheimer's disease.

Authors:  Sylwia Libard; Irina Alafuzoff
Journal:  Acta Neuropathol Commun       Date:  2019-05-29       Impact factor: 7.801

3.  CSF biomarkers distinguish idiopathic normal pressure hydrocephalus from its mimics.

Authors:  Anna Jeppsson; Carsten Wikkelsö; Kaj Blennow; Henrik Zetterberg; Radu Constantinescu; Anne M Remes; Sanna-Kaisa Herukka; Tuomas Rauramaa; Katarina Nagga; Ville Leinonen; Mats Tullberg
Journal:  J Neurol Neurosurg Psychiatry       Date:  2019-06-05       Impact factor: 10.154

4.  Preliminary Exploration of the Sequence of Nerve Fiber Bundles Involvement for Idiopathic Normal Pressure Hydrocephalus: A Correlation Analysis Using Diffusion Tensor Imaging.

Authors:  Wenjun Huang; Xuhao Fang; Shihong Li; Renling Mao; Chuntao Ye; Wei Liu; Guangwu Lin
Journal:  Front Neurosci       Date:  2021-12-17       Impact factor: 4.677

5.  Cerebrospinal fluid biomarkers that reflect clinical symptoms in idiopathic normal pressure hydrocephalus patients.

Authors:  Heikki Lukkarinen; Anna Jeppsson; Carsten Wikkelsö; Kaj Blennow; Henrik Zetterberg; Radu Constantinescu; Anne M Remes; Sanna-Kaisa Herukka; Mikko Hiltunen; Tuomas Rauramaa; Katarina Nägga; Ville Leinonen; Mats Tullberg
Journal:  Fluids Barriers CNS       Date:  2022-02-05

Review 6.  Cerebrospinal fluid and venous biomarkers of shunt-responsive idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis.

Authors:  Santhosh G Thavarajasingam; Mahmoud El-Khatib; Kalyan V Vemulapalli; Hector A Sinzinkayo Iradukunda; Joshua Laleye; Salvatore Russo; Christian Eichhorn; Per K Eide
Journal:  Acta Neurochir (Wien)       Date:  2022-03-01       Impact factor: 2.816

7.  Alzheimer's Disease CSF Biomarker Profiles in Idiopathic Normal Pressure Hydrocephalus.

Authors:  Salvatore Mazzeo; Filippo Emiliani; Silvia Bagnoli; Sonia Padiglioni; Lorenzo Maria Del Re; Giulia Giacomucci; Juri Balestrini; Assunta Ingannato; Valentina Moschini; Carmen Morinelli; Giulia Galdo; Cristina Polito; Camilla Ferrari; Gastone Pansini; Alessandro Della Puppa; Sandro Sorbi; Benedetta Nacmias; Valentina Bessi
Journal:  J Pers Med       Date:  2022-06-06

8.  Targeting Beta-Amyloid at the CSF: A New Therapeutic Strategy in Alzheimer's Disease.

Authors:  Manuel Menendez-Gonzalez; Huber S Padilla-Zambrano; Gabriel Alvarez; Estibaliz Capetillo-Zarate; Cristina Tomas-Zapico; Agustin Costa
Journal:  Front Aging Neurosci       Date:  2018-04-16       Impact factor: 5.750

9.  Dopaminergic Degeneration and Small Vessel Disease in Patients with Normal Pressure Hydrocephalus Who Underwent Shunt Surgery.

Authors:  Tze-Wei Chang; Pao-Hui Tseng; Yi-Cheng Wang; Guo-Fang Tseng; Tsung-Lang Chiu; Shinn-Zong Lin; Sheng-Tzung Tsai
Journal:  J Clin Med       Date:  2020-04-11       Impact factor: 4.241

10.  Predictive Value of Cerebrospinal Fluid Biomarkers for Tap Test Responsiveness in Patients With Suspected Idiopathic Normal Pressure Hydrocephalus.

Authors:  Rongrong Hua; Chunyan Liu; Xing Liu; Jinwu Zhu; Jie Zhang; Lidong Wang; Zhe Shi; Jian Li; Shuangyan Kong; Chenhui Yang; Nan Liu; Lijuan Liu; Jie Sun; Qiong Yang; Yubing Wu; Ying Zhou; Yanfeng Li; Yan Xing
Journal:  Front Aging Neurosci       Date:  2021-05-20       Impact factor: 5.750

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