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Active, not recruitingNCT06130683Updated Dec 27, 2024

Single-Cell Sequence Technology Used to Reveal Heterogeneity of Secondary Hyperparathyroidism

An observational study in Secondary Hyperparathyroidism, sponsored by China-Japan Friendship Hospital. Active, not recruiting at 1 site in China. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2024-12-27.

Sponsored by China-Japan Friendship Hospital · Observational

Study type
Observational
Model
Other
Time perspective
Prospective
Enrollment
12
Ages
18 Years to 80 Years
Sex
All
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Study summary

This project intends to select cases that meet the research requirements, take secondary hyperparathyroidism, primary hyperparathyroidism and normal human parathyroid tissue, a total of three groups, 4 cases in each group, through the method of single-cell transcription and sequencing, construct a map of human parathyroid function types, reveal the gene structure and gene expression status of cells, and visualize the expression characteristics, intercellular heterogeneity, and heterogeneity of cell subsets of secondary hyperparathyroid cells in a hierarchical manner, draw a single-cell map, and compare the differences between groups. To explore the pathogenesis of secondary hyperparathyroidism.

Secondary hyperparathyroidism, parathyroid tissue of primary hyperparathyroidism and normal parathyroid tissue obtained by accident were collected, frozen and preserved, frozen tissue thawed, single-cell suspension was prepared and each cell was specifically labeled by the Mozhuo Genomics system, after oil breaking, polymerase chain reaction amplification, reverse transcription to obtain complementary DNA, and a library of complementary DNA that passed quality inspection was constructed to obtain high-quality data of parathyroid cells. Cell Ranger, R Seurat package, and t-SNE dimensionality reduction diagram were used to reduce the dimensionality, cluster, and visualize the data.

In order to construct a single-cell atlas of parathyroid glands, investigators performed cluster analysis of similar cells according to the gene expression profile, and then visualized the data by t-SNE. According to the results of cell clustering, the specific and highly expressed genes in each cell cluster were identified. Cell populations were identified according to the expression of landmark genes, and the differences in cell types and proportions between groups were compared.

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Conditions studied

  • Secondary Hyperparathyroidism
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In context

Hyperparathyroidism, Secondary

188 studies on the registry are indexed under Hyperparathyroidism, Secondary; 15 are open to participants now.

This study's planned enrollment of 12 is below the median of 131 across 34 observational studies indexed under Hyperparathyroidism, Secondary.

Browse Hyperparathyroidism, Secondary studies →

Lead sponsor

China-Japan Friendship Hospital is the lead sponsor of 178 studies on the registry; 111 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

People who undertake surgery for secondary hyperparathyroidism or primary hyperparathyroidism and other neck surgeries in our China-Japan Friendship Hospital

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Study participants with a diagnosis of secondary hyperparathyroidism who underwent surgical treatment
  • Study participants with a diagnosis of primary hyperparathyroidism who underwent surgical treatment
  • Study participants who have obtained

Exclusion criteria

Exclusion Criteria:

  • Other non-secondary hyperparathyroidism conditions such as primary hyperparathyroidism were excluded at the time of inclusion of study participants with essential hyperparathyroidism.
  • Other non-primary hyperparathyroid conditions such as secondary hyperparathyroidism were excluded at the time of inclusion of study participants with essential hyperparathyroidism.
  • Refusal of .
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Other
Time perspective
Prospective
Enrollment
12 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Secondary Hyperparathyroidism

    Patients who were diagnosed as secondary hyperparathyroidism

    Other: Single-cell sequencing

  • Primary Hyperparathyroidism

    Patients who were diagnosed as primary hyperparathyroidism

    Other: Single-cell sequencing

  • Normal group

    Parathyroid tissue obtained incidentally during other neck surgeries, derived from people without parathyroid disease.

    Other: Single-cell sequencing

Interventions

  • OtherSingle-cell sequencing

    Single-cell sequencing technology can reveal the gene structure and gene expression status of individual cells, reflecting the heterogeneity between cells.

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What researchers measure

Primary outcomes

  1. Construct the single-cell atlas

    A single-cell atlas of normal parathyroid, primary hyperparathyroidism, and secondary hyperparathyroidism was constructed. Differential analysis is performed to explore differences in gene expression. Next step is to perform kegg and analyze the pathway information. Cell populations are used to explore changes in cell state during population progression. Quasi-temporal analysis is designed to delineate the dynamic trajectory of cell differentiation and the dynamic process of gene expression. SCENIC is a network for inferring gene co-expression. Investigators will use software such as CellRanger and the Seurat package in R word to implement this.

    Time frame: One year

07

Study locations

1 site
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 27, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06130683
Responsible party
Meng Yang (Principal Investigator, China-Japan Friendship Hospital) — Principal investigator
First posted
Nov 14, 2023
Start date
Nov 10, 2023
Primary completion
Dec 8, 2024
Completion
Jul 31, 2025 (estimated)
Last update
Dec 27, 2024

Study contacts

Meng Yang
principal investigator · China-Japan Friendship Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Dec 2024. You cannot join it, but the record below documents what was studied.

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