Evidence map›Paper›PMID 40333887›Full record

ArticlePLoS neglected tropical diseases2025

Cystatin antibodies interfere with ovary development in Haemaphysalis doenitzi (Acari: Ixodidae).

Songbo Zhang, Zhihua Gao, Ahmed H Ghonaim, Weijia Xing, Weikang Zhao, Jiayi Zhang, Xiaolong Yang

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Songbo ZhangHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Zhihua GaoHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Ahmed H GhonaimNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Weijia XingHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Weikang ZhaoHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Jiayi ZhangHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Xiaolong YangHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Ministry of Education Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.ORCID 0000-0001-5761-0262

Funding

Foundation of Hebei Normal UniversityHebei Natural Science FoundationNational Natural Science Foundation of China
6 · The paper itself

Abstract

Anti-tick vaccines are gaining attention as a strategy to prevent tick infestations by activating the immune response of the host. Antibodies produced by the host inhibit tick growth and reproduction, but the molecular mechanism remains to be clarified. In this study, we investigated the effects of cystatin antibodies on the ovarian function of Haemaphysalis doenitzi. Histological analysis revealed that exposure to cystatin antibodies resulted in a significant reduction in the number of eggs produced and caused severe damage to the ovarian tissue structure. Immunofluorescence experiments confirmed the significant expression of cystatin within the ovary. Proteomics and phosphoproteomics identified 31 and 10 differentially expressed proteins in the relevant pathways, respectively. These changes in protein levels were found to be regulated by various mechanisms, including ribosomes activity, regulation of actin cytoskeleton, RNA transport, the TCA cycle, drug metabolism, and mTOR signaling pathways. Notably, there was high expression of tropomyosin and low expression of glutathione S-transferase (GST) during ovarian detoxification. Enzyme activity assays indicated a significant down-regulation of GST enzyme activity in the immunized group, suggesting that cystatin antibodies impaired the detoxification capacity of the ticks. Both tropomyosin and GST were successfully cloned and designated as HD-TPMa and HD-GSTa, respectively. RNA interference (RNAi) successfully knocked down the target gene. Ticks subjected to immersion in cystatin antibodies exhibited a significantly increased mortality rate after 72 hours. This study elucidated the molecular mechanism by which cystatin antibodies inhibit the growth and development of tick ovaries, providing an important scientific basis for the development of effective tick ovary control strategies.

Indexed as

AntibodiesCystatinsIxodidaeOvaryAnimalsFemaleGlutathione TransferaseProteomicsTropomyosinAntibodiesCystatinsGlutathione TransferaseTropomyosin

Identifiers

PMID40333887
PMCPMC12057904

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Registered trials

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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.