Evidence map›Paper›PMID 42160352›Full record

ArticlePLoS neglected tropical diseases2026

Parasite exosomes-derived circulating sja-miR-61 and sja-miR-7-5p as Novel biomarkers for the detection of Schistosoma japonicum infection using TaqMan real-time PCR.

Xin-Yue Zhang, Jing-Ping Li, Ju-Lu Lu, Cong-Jin Mei, Ying-Ying Yang, Pan-Pan Dong, Chuan-Xin Yu, Li-Jun Song

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xin-Yue ZhangNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Jing-Ping LiNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Ju-Lu LuNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Cong-Jin MeiNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Ying-Ying YangNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Pan-Pan DongNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Chuan-Xin YuNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Li-Jun SongNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Provincial Medical Key Laboratory, Jiangsu Institute of Parasitic Diseases, Wuxi, China.ORCID 0000-0002-3897-5925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schistosomiasis, a zoonotic parasitic disease caused by schistosome infection, remains a serious public health concern. However, diagnostic methods with both high sensitivity and specificity or early diagnosis for detecting schistosome infection are still lacking. This study aimed to evaluate the diagnostic potential of parasite-derived exosomes miRNAs in Schistosoma japonicum (S. japonicum) infection. Exosomes were isolated and purified from adult worms and eggs of S. japonicum using ultracentrifugation. Nine highly abundant miRNAs were identified in these exosomes through small RNA sequencing. TaqMan probe-based reverse transcription real-time PCR (RT-qPCR) revealed that serum levels of all nine parasite-derived miRNAs were significantly elevated in infected mice at different time points post-infection. Compared with healthy controls, infected patients exhibited significantly elevated serum levels of sja-miR-61 and sja-miR-7-5p. Receiver operating characteristic (ROC) analysis indicated that the area under the curve (AUC) values for serum sja-miR-61 and sja-miR-7-5p were 0.8750 and 0.8375, respectively, surpassing those of the other miRNAs examined in human serum. The sensitivity and specificity for detecting these miRNAs in human serum were 85.00% and 85.00% for sja-miR-61, and 70.00% and 80.00% for sja-miR-7-5p. When both miRNAs were detected in combination, sensitivity increased to 95.00% with a specificity of 75.00%. In mice, the sensitivity and specificity for detecting sja-miR-7-5p at 2 weeks post-infection were 73.33% and 86.67%, improving to 93.33% and 93.33% at 6 weeks. For sja-miR-61, sensitivity and specificity were 93.33% and 80.00% at 2 weeks, reaching 100.00% and 100.00% at 6 weeks. Serum levels of sja-miR-61 and sja-miR-7-5p dropped to undetectable levels two weeks after praziquantel treatment, underscoring their utility in monitoring treatment response. Furthermore, measurement of sja-miR-61 and sja-miR-7-5p in mice with varying infection intensities showed rising serum levels corresponding to increased worm burdens, with a minimum detection threshold equivalent to an infection with 5 cercariae, highlighting the high sensitivity of this approach for detecting low-level infections in mice. Collectively, the detection of these miRNAs in patient or mouse serum using TaqMan RT-qPCR exhibits good sensitivity and specificity, along with considerable value for early diagnosis and treatment monitoring. sja-miR-61 and sja-miR-7-5p represent promising biomarkers for the diagnosis of schistosomiasis japonica.

Indexed as

ExosomesMicroRNAsReal-Time Polymerase Chain ReactionSchistosoma japonicumSchistosomiasis japonicaAnimalsBiomarkersFemaleHumansMaleMiceROC CurveSensitivity and SpecificityBiomarkersMicroRNAs

Identifiers

PMID42160352
PMCPMC13218617

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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.