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

Sponsor
China-Japan Friendship Hospital (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06130683
Collaborator
(none)
12
20.7

Study Details

Study Description

Brief 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.

Condition or Disease Intervention/Treatment Phase
  • Other: Single-cell sequencing

Study Design

Study Type:
Observational
Anticipated Enrollment :
12 participants
Observational Model:
Other
Time Perspective:
Prospective
Official Title:
Single-Cell Sequence Technology Used to Reveal Heterogeneity of Secondary Hyperparathyroidism
Anticipated Study Start Date :
Nov 8, 2023
Anticipated Primary Completion Date :
Nov 8, 2024
Anticipated Study Completion Date :
Jul 31, 2025

Arms and Interventions

Arm Intervention/Treatment
Secondary Hyperparathyroidism

Patients who were diagnosed as secondary hyperparathyroidism

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

Primary Hyperparathyroidism

Patients who were diagnosed as primary hyperparathyroidism

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

Normal group

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

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

Outcome Measures

Primary Outcome Measures

  1. Construct the single-cell atlas [One year]

    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.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
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 informed consent

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 informed consent.

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • China-Japan Friendship Hospital

Investigators

  • Principal Investigator: Meng Yang, China-Japan Friendship Hospital

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Meng Yang, Principal Investigator, China-Japan Friendship Hospital
ClinicalTrials.gov Identifier:
NCT06130683
Other Study ID Numbers:
  • 2023-NHLHCRF-YYPPLC-ZR-08
First Posted:
Nov 14, 2023
Last Update Posted:
Nov 14, 2023
Last Verified:
Nov 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Nov 14, 2023