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Usage Information

Immunoreactive β-Endorphin and Adrenocorticotropin in Human Cerebrospinal Fluid
Kazuwa Nakao, Shogo Oki, Issey Tanaka, Kazuko Horii, Yoshikatsu Nakai, Tomoo Furui, Masanori Fukushima, Akio Kuwayama, Naoki Kageyama, Hiroo Imura
Kazuwa Nakao, Shogo Oki, Issey Tanaka, Kazuko Horii, Yoshikatsu Nakai, Tomoo Furui, Masanori Fukushima, Akio Kuwayama, Naoki Kageyama, Hiroo Imura
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Research Article

Immunoreactive β-Endorphin and Adrenocorticotropin in Human Cerebrospinal Fluid

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Abstract

To elucidate the significance of β-endorphin in human cerebrospinal fluid (CSF), CSF levels of β-endorphin-like immunoreactivity (β-EP-LI) in various diseases were determined by a specific radioimmunoassay and compared with simultaneously determined ACTH-like immunoreactivity (ACTH-LI) levels in CSF. CSF β-EP-LI and ACTH-LI in the control group, consisting of 5 normal subjects and 19 patients with nonendocrine diseases, were 22.2±1.3 and 14.6±0.4 fmol/ml, respectively. CSF levels of these peptides in patients with schizophrenia (n = 19) and acromegaly (n = 10) were not significantly different from those in the control group. Patients with Cushing's disease (n = 7) had significantly lower CSF β-EP-LI and ACTH-LI levels than those in the control group. Four of them showed a parallel increase in CSF β-EP-LI and CSF ACTH-LI levels after the complete removal of pituitary microadenomas (P < 0.05).

Authors

Kazuwa Nakao, Shogo Oki, Issey Tanaka, Kazuko Horii, Yoshikatsu Nakai, Tomoo Furui, Masanori Fukushima, Akio Kuwayama, Naoki Kageyama, Hiroo Imura

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 293 10
PDF 142 5
Scanned page 585 13
Citation downloads 142 0
Totals 1,162 28
Total Views 1,190
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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