Evidence map›Paper›PMID 31063987›Full record

ArticleThe Journal of clinical investigation2019

CB1 agonism prolongs therapeutic window for hormone replacement in ovariectomized mice.

Kun Zhang, Qi Yang, Le Yang, Yan-Jiao Li, Xin-Shang Wang, Yu-Jiao Li, Rui-Li Dang, Shao-Yu Guan, Yan-Yan Guo, Ting Sun and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 40 citations in OpenAlex.

  1. Cannabinoid tolerance relies on CBProceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Kun ZhangDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Qi YangDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Le YangDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yan-Jiao LiDepartment of Pharmacology, School of Pharmacy, Fourth Military Medical University, Xi'an, Shaanxi, China.
Xin-Shang WangDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yu-Jiao LiDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Rui-Li DangDepartment of Pharmacology, School of Pharmacy, Fourth Military Medical University, Xi'an, Shaanxi, China.
Shao-Yu GuanDepartment of Pharmacology, School of Pharmacy, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yan-Yan GuoDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Ting SunDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yu-Mei WuDepartment of Pharmacology, School of Pharmacy, Fourth Military Medical University, Xi'an, Shaanxi, China.
An LiuDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yan ZhangDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Shui-Bing LiuDepartment of Pharmacology, School of Pharmacy, Fourth Military Medical University, Xi'an, Shaanxi, China.
Ming-Gao ZhaoDepartment of Pharmacy, Precision Pharmacy and Drug Development Center, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Tang Du Hospital · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hormone therapy (HT) is reported to be deficient in improving learning and memory in older postmenopausal women according to recent clinical studies; however, the reason for failure is unknown. A "window of opportunity" for estrogen treatment is proposed to explain this deficiency. Here, we found that facilitation of memory extinction and long-term depression by 17β-estradiol (E2) was normal in mice 1 week after ovariectomy (OVXST), but it was impaired in mice 3 months after ovariectomy (OVXLT). High-throughput sequencing revealed a decrease of miR-221-5p, which promoted cannabinoid receptor 1 (CB1) ubiquitination by upregulation of Neurl1a/b in E2-treated OVXLT mice. Blood samples from postmenopausal women aged 56-65 indicated decreases of miR-221-5p and 2-arachidonoylglycerol compared with samples from perimenopausal women aged 46-55. Replenishing of miR-221-5p or treatment with a CB1 agonist rescued the impairment of fear extinction in E2-treated OVXLT mice. The present study demonstrates that an HT time window in mice can be prolonged by cotreatment with a CB1 agonist, implying a potential strategy for HT in long-term menopausal women.

Indexed as

Hormone Replacement TherapyOvariectomyAgedAnimalsEstradiolFemaleHumansMiceMicroRNAsMiddle AgedPostmenopauseReceptor, Cannabinoid, CB1Up-RegulationEstradiolMicroRNAsMIRN221 microRNA, mouseReceptor, Cannabinoid, CB1EndocrinologyNeuroendocrine regulationNeurological disordersNeurosciencePharmacology

Identifiers

PMID31063987
PMCPMC6546454
OpenAlexW2943584880

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.