Evidence map›Paper›PMID 42629593›Full record

ArticleTropical medicine and health2026

Genetic diversity, haplotype structure, and population dynamics of Echinococcus granulosus isolates from human cystic echinococcosis in Tibet, China.

Ping He, Li Wan, Qi Wang, Ke Zhang, Jehangir Khan, Zhongdao Wu, Xi Sun, Datao Lin

Abstract read
In one paragraph

Article in Tropical medicine and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ping He *Key Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, China.
Li Wan *The Second People's Hospital of Tibet Autonomous Region, Lhasa, China.
Qi WangKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, China.
Ke ZhangKey Laboratory of High Altitude Hypoxia Environment and Life Health, School of Medicine, Xizang Minzu University, Xianyang, China.
Jehangir KhanDepartment of Zoology, Abdul Wali Khan University, Mardan, Pakistan.
Zhongdao WuDepartment of Parasitology, Key Laboratory of Tropical Disease Control (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Xi SunDepartment of Parasitology, Key Laboratory of Tropical Disease Control (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Datao LinDepartment of Parasitology, Key Laboratory of Tropical Disease Control (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China. lindt5@mail.sysu.edu.cn.

Funding

Major Project Cultivation Plan of Xizang Minzu University 18MDZ02the National Natural Science Foundation of China (81860365, 82202560 and 82272361
6 · The paper itself

Abstract

backgroundCystic echinococcosis (CE) is a globally important zoonotic disease caused by the larval (metacestode) stage of Echinococcus granulosus (sensu lato), a parasite complex characterized by marked genetic heterogeneity across geographical regions. The Tibet Autonomous Region (TAR) of China is one of the most hyperendemic areas for human echinococcosis, yet information on the genetic diversity and population structure of human-derived E. granulosus isolates remains limited. This study aimed to characterize the genetic diversity, haplotype distribution, and population dynamics of E. granulosus isolates from human CE cases in TAR, thereby improving understanding of parasite transmission in this unique epidemiological setting.

methodsBetween 2018 and 2019, hydatid cyst samples were collected from 54 patients with confirmed CE in echinococcosis-designated hospitals across five prefectures (Shigatse, Nagqu, Shannan, Nyingchi, and Qamdo) of TAR. Species identification and genotyping were performed using mitochondrial cytochrome c oxidase subunit 2 (COX2) and nicotinamide adenine dinucleotide (NADH) dehydrogenase subunit 1 (NADH1) genes. Phylogenetic relationships were inferred using the neighbor-joining method, haplotype networks were constructed using PopART, and population genetic indices and neutrality tests were applied to assess genetic diversity and demographic history.

resultsAll 54 isolates were successfully amplified and sequenced for COX2, while 50 isolates were analyzed for NADH1. Phylogenetic analysis identified three circulating E. granulosus (s.l.) genotypes: G1 (sheep strain), which predominated, along with G3 (buffalo strain) and G6 (camel strain). Notably, this study reports, for the first time, the presence of the G3 genotype in human isolates from multiple prefectures in Tibet. Haplotype analysis revealed high haplotype diversity (Hd = 0.771 ± 0.00323) and low nucleotide diversity (π = 0.00736 ± 0.00411), forming a star-like haplotype network (n = 20) centered on a dominant haplotype (H2) based on COX2 sequences. Significantly negative Tajima's D and Fu's Fs values indicate recent population expansion.

conclusionsThis study provides the first comprehensive insight into the genetic structure and population dynamics of human-derived E. granulosus isolates in TAR. The observed high genetic diversity, presence of multiple zoonotic genotypes, and evidence of population expansion suggest active and widespread transmission on the Tibet Plateau, underscoring the need for integrated, region-specific control strategies within a One Health framework.

Indexed as

Echinococcus granulosusGenetic diversityHumansMolecular identificationTibet Autonomous Region

Identifiers

PMID42629593
PMCPMC13495227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.